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Intrepid Sea, Air & Space Museum will host Intrepid On Liberty: National Air & Space Museum on Thursday, February 24, 6-7pm EST.
Join the Intrepid Museum and fellow veterans, service members and their loved ones for this virtual staycation. They will be Zooming into the Washington, DC area to visit with the National Air and Space Museum. Dr. Margaret Weitekamp, Space History curator, and Intrepid Museum's Senior Educator Jim Tardiff will discuss different eras of space tourism. Dr. Ross Irwin, curator in the Center for Earth and Planetary Studies, will follow up the talk by discussing where private space travel is heading today and the impact it will have on the future of NASA. Come learn about this fascinating and rapidly developing topic!
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Can someone please tell me how to determine all $\mathbb{Q}$-automorphisms of some splitting field $F$ of $X^3-3 \in \mathbb{Q}[X]$ and to determine $[F:\mathbb{Q}]$?
I think $[F:\mathbb{Q}]=3$, since I can construct a specific splitting field containing the three (complex) roots of the polynomial $X^3-3 $, but I don't know how to prove that it equals $3$. And for the automorphisms, I don't even know how to approach it.
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the reason why you can't prove $[F:\mathbb{Q}]=3$ is that $[F:\mathbb{Q}]=6$ – user8268 Nov 6 '12 at 22:12
yes, once you have in hand one of the roots of the polynomial, you need to write down explicitly what the other roots are. Then you need to notice what other irrationality needs to be adjoined to the setup to get all three in any field. You'll see that there is a unique quadratic extension of $\mathbb Q$ there, and three different cubic extensions. This is an exercise that everyone must do for her/himself. – Lubin Nov 7 '12 at 2:27
1 Answer 1
up vote 4 down vote accepted
Let $F$ be a field. Let $F^\times$ be the multiplicative group of $F$. Let $(a, b) \in F^\times \times F$. We denote by $\lambda(a, b)$ the permutation $x \rightarrow ax + b$ on $F$. Let $(a, b), (c, d) \in F^\times \times F$. Since $a(cx + d) + b = acx + ad + b$, $\lambda(a, b)\circ\lambda(c, d) = \lambda(ac, ad + b)$. Hence $\{\lambda(a, b) | (a, b) \in F^\times \times F\}$ is a permutation group on $F$. We call this group the affine general linear group of degree $1$ on $F$ and denote it by $AGL(1, F)$. Since $\lambda(a, b)(0) = b$ and $\lambda(a, b)(1) - b = a$, $(a, b)$ is uniquely determined by $\lambda(a, b)$. Hence $|AGL(1, F)| = |F^\times \times F|$.
Proposition Let $p, q$ be prime numbers which may or may not be equal. Let $a$ be an integer which is divisible by $q$, but not not divisible by $q^2$. $X^p - a$ is irreducible in $\mathbb{Q}[X]$ by the Eisenstein's criterion. Let $K$ be the splitting field of $X^p - a$ in $\mathbb{C}$. Then the Galois group $G$ of $K/\mathbb{Q}$ is isomorphic to $AGL(1, F)$, where $F = \mathbb{Z}/p\mathbb{Z}$.
Proof: Let $\zeta$ be a primitive $p$-th root of unity. Let $\alpha$ be a root of $X^p - a$ in $\mathbb{C}$. $\alpha,\alpha\zeta,\dots,\alpha\zeta^{p-1}$ are distinct roots of $X^p - a$. Hence $K = \mathbb{Q}(\alpha,\alpha\zeta,\dots,\alpha\zeta^{p-1})$. Since $\zeta = \alpha\zeta/\alpha \in K$, $K = \mathbb{Q}(\alpha, \zeta)$.
Let $\sigma \in G$. Since $\sigma(\zeta)^p = 1$, there exists an integer $b$ such that $\sigma(\zeta) = \zeta^b$. Clearly $b$ (mod $p$) is uniquely determined by $\sigma$ and $b$ (mod $p) \in F^\times$. On the other hand, there exists an integer $c$ such that $\sigma(\alpha) = \alpha\zeta^c$. Clearly $c$ (mod $p$) is uniquely determined by $\sigma$. We denote $\phi(\sigma) = \lambda(b$ mod $p、c$ mod $p) \in AGL(1, F)$. Hence we get a map $\phi\colon G \rightarrow AGL(1, F)$. Let $\sigma, \tau \in G$. Suppose $\phi(\sigma) = \lambda(b$ mod $p, c$ mod $p$) and $\phi(\tau) = \lambda(d$ mod $p, e$ mod $p$). Then $\sigma\tau(\zeta) = \zeta^{bd}$ and $\sigma\tau(\alpha) = \sigma(\alpha\zeta^e) = \alpha\zeta^c\zeta^{be} = \alpha\zeta^{be + c}$. Hence $\phi(\sigma\tau) = \phi(\sigma)\phi(\tau)$. Hence $\phi$ is a homomorphism. It is easy to see that $\phi$ is injective.
It remains to prove that $\phi$ is surjective. Since $[\mathbb{Q}(\zeta) \colon \mathbb{Q}] = p - 1$, $[K \colon \mathbb{Q}(\zeta)] > 1$. Let $H$ be the Galois group of $K/\mathbb{Q}(\zeta)$. Let $\tau \in H$. There exists an integer $c$ such that $\tau(\alpha) = \alpha\zeta^c$. We define a map $\psi\colon H \rightarrow F$ by $\psi(\tau) = c$ mod $p$. It is easy to see that $\psi$ is an injective homomorphism. Hence $|F| = p$ is divisible by $|H|$. Since $|H| > 1$, $|H| = p$, Hence $[K \colon \mathbb{Q}] = p(p-1)$. Hence $\phi$ is surjective. QED
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Seems to me that OP is a real beginner, and that your explanation will be too highfalutin for her/him. – Lubin Nov 7 '12 at 2:29
_USER_ It is a proof rather than an explanation. I believe anyone who knows basics of Galois theory and group theory can understand it. – Makoto Kato Nov 7 '12 at 3:18
Makoto, you may be right. But, reading between the lines, I bet OP doesn't know what a semi-direct product is, and won't derive much benefit from your efforts, at least, not this year. – Gerry Myerson Nov 7 '12 at 5:42
_USER_ If there are people(including the OP or otherwise) who can understand the proof and learn something from it, that would be my pleasure. – Makoto Kato Nov 7 '12 at 21:32
_USER_ +1 for your answer, but it would be good if you added a section that addressed beginners. For example, state all the automorphisms of the extension (in the usual way that we show that the Galois group of the polynomial above is $S_3$). Even for me reading your post takes some time to fully digest what is going on, what about for a beginner? – user38268 Dec 15 '12 at 14:04
Your Answer


text:
I am trying to do a classification exercise on email docs (strings containing words).
I defined the distance function as following:
def distance(wordset1, wordset2):
if len(wordset1) < len(wordset2):
return len(wordset2) - len(wordset1)
elif len(wordset1) > len(wordset2):
return len(wordset1) - len(wordset2)
elif len(wordset1) == len(wordset2):
You didn't mention the type of
wordset2. I'll assume they are both
You defined your distance as the word counting and got a bad score. It's obvious text length is not a good dissimilarity measure: two emails with different sizes can talk about the same thing, while two emails of same size be talking about completely different things.
So, as suggested above, you could try and check for SIMILAR WORDS instead:
import numpy as np def distance(wordset1, wordset2): wordset1 = set(wordset1.split()) wordset2 = set(wordset2.split()) common_words = wordset1 & wordset2 if common_words: return 1 / len(common_words) else: # They don't share any word. They are infinitely different. return np.inf
The problem with that is that two big emails are more likely to share words than two small ones, and this metric would favor those, making them "more similar to each other" in comparison to the small ones. How do we solve this? Well, we normalize the metric somehow:
import numpy as np def distance(wordset1, wordset2): wordset1 = set(wordset1.split()) wordset2 = set(wordset2.split()) common_words = wordset1 & wordset2 if common_words: # The distance, normalized by the total # number of different words in the emails. return 1 / len(common_words) / (len(wordset1 | wordset2)) else: # They don't share any word. They are infinitely different. return np.inf
This seems cool, but completely ignores the FREQUENCY of the words. To account for this, we can use the Bag-of-words model. That is, create a list of all possible words and histogram their appearance in each document. Let's use CountVectorizer implementation from scikit-learn to make our job eaiser:
from sklearn.feature_extraction.text import CountVectorizer def distance(wordset1, wordset2): model = CountVectorizer() X = model.fit_transform([wordset1, wordset2]).toarray() # uses Euclidean distance between bags. return np.linalg.norm(X - X)
But now consider two pairs of emails. The emails in the first pair are composed by perfectly written English, full of "small" words (e.g.
that) necessary for it to be grammatically correct. The emails in the second pair are different: only containing the keywords, it's extremely dry. You see, chances are the first pair will be more similar than the second one. That happens because we are currently accounting for all words the same, while we should be prioritizing the MEANINGFUL words in each text. To do that, let's use term frequency–inverse document frequency. Luckly, there's a very similar implementation in scikit-learn:
from sklearn.feature_extraction.text import TfidfVectorizer def distance(wordset1, wordset2): model = TfidfVectorizer() X = model.fit_transform([wordset1, wordset2]).toarray() similarity_matrix = X.dot(X.T) # The dissimilarity between samples wordset1 and wordset2. return 1-similarity_matrix[0, 1]
Read more about this in this question. Also, duplicate?
You should now have a fairly good accuracy. Try it out. If it's still not as good as you want, then we have to go deeper... (get it? Because... Deep-learning). The first thing is that we need either a dataset to train over or an already trained model. That's required because networks have many parameters that MUST be adjusted in order to provide useful transformations.
What's been missing so far is UNDERSTANDING. We histogrammed the words, striping them from any context or meaning. Instead, let's keep them where they are and try to recognize blocks of patterns. How can this be done?
Let's use Keras to simply our lives. It should look something like this:
#... imports and params definitions model = Sequential([ Embedding(max_features, embedding_dims, input_length=maxlen, dropout=0.2), Convolution1D(nb_filter=nb_filter, filter_length=filter_length, border_mode='valid', activation='relu', subsample_length=1), MaxPooling1D(pool_length=model.output_shape), Flatten(), Dense(256, activation='relu'), ]) #... train or load model weights. def distance(wordset1, wordset2): global model # X =... # Embed both emails. X = sequence.pad_sequences(X, maxlen=maxlen) y = model.predict(X) # Euclidean distance between emails. return np.linalg.norm(y-y)
There's a practical example on sentence processing which you can check Keras github repo. Also, someone solves this exact same problem using a siamese recurrent network in this stackoverflow question.
Well, I hope this gives you some direction. :-)

source: openbmb/Ultra-FineWeb


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The city of Tatu, located 24 kilometres from the centre of Nairobi, the capital and largest city in Kenya, now has a certified water testing laboratory. The infrastructure, equipped with state-of-the-art technology, was recently inaugurated.
Ensuring water quality to support the urban development of Nairobi is the aim of the recently inaugurated water and sanitation testing laboratory in Tatu, located 24 kilometres from the centre of the capital. "In fact, it is known that 68 per cent of human beings will live in cities by 2050. This is why we, as Kenya's leading urban developer, we need to focus on the provision of safe drinking water," says Grace Muriithi, Director of Utilities for Tatu Connect, the utility company of the city of Tatu. The certified water testing laboratory is managed by the Tatu City Water and Sanitation Company. It is accredited by the Kenya Water Utility Regulatory Board under Section 74 of the Water Act.
Tatu's water analysis centre is equipped with advanced technology. This will enable the analysis of basic water parameters, physical and chemical parameters, and microbiological aspects of water samples taken from different sections of the city's supply chain. "The Tatu City Laboratory will enable us to monitor water quality as part of our process control and ensure that our residents receive the highest quality drinking water in accordance with World Health Organization (WHO) standards," said Grace Muriithi.
Two analysts are also part of the staff. They have been trained in the ISO/IEC 17205:2017 laboratory management system and water quality and safety planning.

source: m-a-p/FineFineWeb


SSRS percentage rounding problem in an expression
Abdul Khan
Abdul Khan used Ask the Experts™
on
Hello All,
I am using the following expression to calculate percentage in SSRS,
=Format(Fields!_URL_,"0%")
however, sometime the calculated values aren't equal to 100% they are 99, so the rounding is not working correctly.
Can someone please help? Thanks.
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Commented:
use =ROUND rather than format
=ROUND(Fields!_URL_,0)
Format only truncates
Using rounding is correct, as David suggested.
However, if you have several values that should add up to 100%, and each value is rounded, you may still end up with a sum that is different from 100%. That is unavoidable when you are rounding values.
Say for example that you have three values that each represent a third of the total, or 33.333333333333%. When you round them, each will be rounded down to 33%, and the total is 99%.
If you want the values to add up to 100%, you can use the largest reminder method:
1. Round all the values down (but keep the original values also, for now).
2. Calculate how much you have from the sum of the rounded values up to 100%.
3. Distribute that difference by adding one to values, in descending order of the decimal part.
Ref: Wikipedia: Largest remainder method
Author
Commented:
Thanks so much for your assistance!!
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text:
Jenga is a Swahili word which means 'to build'. Jenga Africa aims to build African young people through suicide prevention programmes, harnessing the power of youth, building safe spaces for difficult and critical dialogues especially in schools; help young people to create a vision for their future so they can achieve their goals and aspirations in life.
Jenga Africa is a safe place for critical dialogues and critical thinking, above all, it is a place where we help young people to create a vision for their future, teaching them ways of dealing with difficult situations, and inspiring them through mentorship programmes.
Depression and suicide rates are rising astronomically in young people, and this matter calls for urgent attention and action. Therefore, governments, schools, families and the community at large need to investigate and address the driving force behind this epidemic.
Innovative strategies and solutions are needed to save our future generation and to ensure a healthy human capital. It's for this reason that Jenga Africa (JA) was formed to contribute to solving this epidemic. Here at JA we focus on 3 pillars that guide our programmes and structures.
1) Mental wellbeing
2) Sports for development [with a focus on mental well-being]
3) Spiritual development [with a focus on mental well-being]
In this year of 2021, Jenga Africa is hosting a wellness bootcamp aimed at raising awareness on issues around depression and suicide ideation amongst young people. For more information on this event and to partner with us, email us at _EMAIL_


text:
A brick may refer to any of the following:
1. A brick is a term used to describe early cell phones first invented by Martin Cooper that were made available to the public in the 90's. These cell phones were called bricks because of their size, weight, and because they resembled a brick you would find in building. The picture is an example of how the brick cell phone looked. As can be seen, these phones are much larger than the cell phones used today.
2. The term brick and bricked also refers to a computer or hardware device that no longer functions because of a bad update, most commonly a firmware update. For example, if someone did the wrong firmware update or didn't let the firmware update complete properly, it would cause the device being updated to no longer function.


text:
Study Reveals the Crazy Lengths We Go to Avoid Other People
While trying to avoid the forced socializing that sometimes comes when traveling with strangers might not seem like a difficult task, new research reveals that it actually takes a lot of work to be anti-social.
Yale University researcher Esther Kim spent three years riding coach across the great American roadways in order to observe the obsessive quirks and bizarre behavior of those people being transported across the country in the company of strangers.
"We live in a world of strangers, where life in public spaces feels increasingly anonymous," said Kim. "However, avoiding other people actually requires quite a lot of effort and this is especially true in confined spaces like public transport."
During her journey, Kim says she discovered that the greatest unspoken rule of bus travel is that if other seats are available you shouldn't sit next to someone else because most passengers claim it makes a person look weird.
However, it is when the bus starts filling up and more passengers are still getting on that things start to get interesting. Kim says that she found that most people will go out of their way to avoid others. Pretending to be busy, checking cell phones, looking past people or falling asleep are just some of the many ways people avoid fraternizing with the unknown.
- Avoiding eye contact with other people
- Leaning against the window and stretching out your legs
- Placing a large bag on the empty seat
- Sitting on the aisle seat and turning on your iPod so you can pretend you cannot hear people asking for the window seat.
- Placing several items on the spare seat so it is not worth the passenger's time waiting for you to move them.
- Looking out the window with a blank stare to look crazy
- Pretending to be asleep
- Putting your coat on the seat to make it appear already taken
- If all else fails, lying and saying the seat has been taken by someone else
While all of this sounds like such painstaking efforts just to keep from sitting next to a stranger, Kim says the good news is that race, class, gender and other background characteristics were of no concern to travelers — everyone just wants to avoid the "crazy person."

source: HuggingFaceFW/fineweb-edu


text:
The thermal or cold wake of the underwater vehicles will be formed at the sea surface in different region during sailing, then the underwater vehicles will be detected by airborne or space borne infrared detectors easily, which will imperil their security. A model between the detection probability and the Noise Equivalent Temperature Difference (NETD) of the detectors, and the temperature difference between the wake and the sea surface, etc., was established and the evaluation of detection probability in different discrimination levels and other parameters, such as time, location, atmosphere, sea, detector performance, wake temperature, etc., was realized, and a software named Wake Detection of Underwater Vehicle by Infrared (WDPUV-IR) was developed. The results showed that the detection probability to the wake with high detector performance or large temperature difference or short detection distance or low discrimination level was relatively high, but it was difficult to detect targets with small temperature difference and size when the atmospheric transmittance value was low.
The thermal wake would be formed owing to the cooling water or exhaust heat discharged by ship, and the cold wake could be formed by the cool water in the lower part of sea stirred up by the ship propeller or vortexes. Owing to the difference of surface temperature and emissivity between the ship wake and the surrounding ocean the ship wake will be easily detected by the infrared detecting system. The wave of wake also could be detected by the difference of reflected radiance between the background and the Kelvin wake of ship. In this paper the simulating models of infrared imaging of ship wake are developed based on the selfradiation of wake, the reflected radiance of the sky and sun and the transmitted radiance of atmosphere, and the infrared imaging signatures of ship wake are investigated. The results show that the infrared imaging signatures of ship wake can be really simulated by the models proposed in this paper. The effects of the detecting height, the angle of view, the NETD of detector and the temperature of wake on the infrared imaging signatures of ship wake are studied. The temperature difference between the ship wake and surrounding ocean is a main fact which effects on the detecting distance. The infrared imaging signatures of ship wake in 8-14μm wave band is stronger than that in 2-5μm wave band whenever the temperature of ship wake is warmer or cooler than the surrounding ocean. Further, the infrared imaging of thermal wake is investigated in the homogenous water and temperature stratified water at different speed of a ship and different flow rate and depth of the discharged water in a water tank. The spreading and decaying laws of infrared signature of ship wake are obtained experimentally. The results obtained in this paper have an important application in the infrared remote sensing of ship wake.
The dynamic simulation of infrared signature of the deep groove ball bearing (DGBB) was carried out based on ANSYS/LS-DYNA. A finite element model of the ball-raceway contact of the was established, and the slide friction between the ball and the raceway was considered as the main reason of heat generation, and the impacts of radial load, rotation speed and the coefficient of friction to the heat generation and the infrared characteristics of distribution were discussed in detail. The relative errors between the simulation results and the theoretical calculation value are less than 10%, which proves this simulation model is accurate and reliable.


text:
JioFi is considered the best device for the Jio network but it does not have or support the feature of carrier aggregation. JioFi connects to a single band at a time with no aggregation.
So, is it good or bad for a mobile router?
First, understand why carrier aggregation is so useful. Carrier aggregation in a device helps to offer more bandwidth and faster data speeds by combining different network bands and dedicating it to a single user. In the real-world scenario, the same thing cannot be achieved all the time but rarely.
This feature helps in getting usable speed when all the bands are slow.
Since JioFi is used as a mobile router which is known as a stable mobile network, this feature isn't useful at all. The main reason is unstable connectivity due to frequent connection and disconnection.


text:
Cutting edge aerial technology meets the world of marine biology with the introduction of "The Snotbot", a drone that can collect vapor samples from whales as they exhale through its blow holes upon surfacing.
The samples can be used to collect information from chemical markers and give researchers a new insight into the lives of the whales. In this video SnotBot's team goes on an expedition into the Sea of Cortez to collect samples and videos from these incredible creatures.
To learn more about SnotBot and possibly contribute to the cause please go HERE.
How sweet are these SnotBot T-Shirts…support the cause and get something cool for $28:


text:
Dividing Pounds and Ounces
How to divide pounds and ounces
- Convert pounds and ounces to ounces by multiplying pounds by 16 and adding the number of ounces
- Perform the required division to determine the number of ounces.
- Convert the ounces to pounds and ounces by dividing by 16.
- The quotient is the number of pounds and the remainder is the number of ounces.
Example: Divide 10 pounds 0 ounces by 4
- Convert 10 pounds to ounces by multiplying 10 by 16:
16 * 10 = 160 ounces
- Add the number of extra ounces:
160 + 0 = 160 ounces
- Perform the required division:
160 ÷ 4 = 40 ounces
- Convert to pounds and ounces by dividing by 16:
40 ÷ 16 = 2 R 8
- The quotient (2) is the number of pounds and the remainder (8) is the number of ounces.
- Answer: 2 pounds 8 ounces


Run-Time Event API Performance Counters Usage Summary - 2024.1 English
AI Engine Tools and Flows User Guide (UG1076)
Document ID
UG1076
Release Date
2024-06-27
Version
2024.1 English
Run-time event APIs use the performance counters in the AI Engine-PL interface tiles and the AI Engine-NoC interface tiles. There are two performance counters in each column of the interface tiles. This section lists the number of performance counter - used by each run-time event API. If the total number of performance counters used exceeds the availability of performance counters in a column of the interface tile, the API that cannot acquire the performance counter fails with the following error message in AI Engine simulator.
[AIE WARNING]: Unable to request resources. RscType: 0
ERROR: event::start_profiling: Failed to request performance counter resources.
For hardware emulation or hardware flows, the following error message is used.
[XRT] ERROR: ERROR: event::start_profiling: Failed to request performance counter resources.: Resource temporarily unavailable
Table 1. Run-Time Event API Performance Counters Usage
Run-time Event Enumeration Number of Performance Counters
event::io_total_stream_running_to_idle_cycles 1
event::io_stream_start_to_bytes_transferred_cycles 2
event::io_stream_start_difference_cycles 1 for input port, 1 for output port
event::io_stream_running_event_count 1
Note: There are four performance counters available in total. Performance counters are released after event::stop_profiling. The run-time event API can acquire the same performance counters again after they are released.
Note: When multiple graph ports are mapped into the same interface tile, if run-time event APIs are used on these ports, they will compete for the performance counters in the same interface tile.


text:
Authorities concerned have been urged to enforce laws and redefine standards for steel products to ensure the longevity of high-rise buildings and road infrastructures.
The call emerged from a seminar in Dhaka today (Saturday), amid apprehension of increased vulnerabilities of buildings, flyovers, bridges and other development infrastructures.
Experts of Bangladesh University of Engineering and Technology (BUET) ringing alarm bell apprehended that there would be unwanted natural effects on bridges or buildings, if steels do not satisfy the minimum standard of quality.
Bangladesh Auto Re-Rolling and Steel Mills Association (BARSMA) in support of Department of Materials and Metallurgical Engineering of BUET organised the seminar titled "Quality Steel and Its Importance in Civil Engineering Applications" at the National Press Club.
Industries Minister Dilip Barua and Bangladesh Standards and Testing Institution (BSTI) Director General (DG) AK Fazlul Ahad also spoke at the meeting, with BARSMA president SK Masadul Alam Masud in the chair.
Prof Dr AA M Rezaul Haque and Prof Dr M Aminul Islam of Department of Materials and Metallurgical Engineering, BUET presented two papers titled "Facilities for Good Quality Steel Production in Bangladesh" and "Essential Qualities for Steels in Structural Applications".
"Steel producers must concentrate on producing high-strength steel bars/wires," Prof Islam said.
He said materials engineers must be involved to develop high performance construction materials considering socioeconomic situation and at the same time, design engineers must assist local construction companies for making safe and light-weight buildings with high strength steels and concretes.
The experts also warned of producing steels directly from scrap iron, without proper melting to maintain the required quality.
Industries Minister Dilip Barua said the government does not want to compromise with quality in any development work. "Unfortunately, some regulatory agencies are compromising with quality resulting in lower longevity of development structures."
He asked steel producers to obtain licenses from the BSTI so the standards of steels could be monitored.
The entrepreneurs urged the government to make licensing process easier and reduce license fees.


text:
Teachers, register your class or environmental club in our annual Solar Oven Challenge! Registration begins in the fall, and projects must be completed in the spring to be eligible for prizes and certificates.
Who can participate?
GreenLearning's Solar Oven Challenge is open to all Canadian classes. Past challenges have included participants from grade 3 through to grade 12. Older students often build solar ovens as part of the heat unit in their Science courses. Other students learn about solar energy as a project in an eco-class or recycling club.
How do you register?
1. Registration is now open to Canadian teachers. To register, send an email to Gordon Harrison at GreenLearning. Include your name, school, school address and phone number, and the grade level of the students who will be participating.
2. After you register, you will receive the Solar Oven Challenge Teacher's Guide with solar oven construction plans. Also see re-energy.ca for construction plans, student backgrounders, and related links on solar cooking and other forms of renewable energy. At re-energy.ca, you can also see submissions, photos and recipes from participants in past Solar Oven Challenges.
3. Build, test and bake with solar ovens!
4. Email us photos and descriptions of your creations by the deadline (usually the first week of June).
5. See your recipes and photos showcased at re-energy.ca. Winners will be listed there and in GreenLearning News.


We implemented the algorithm used to detect Tap-Wave-Rub's wave gesture following the instructions in [1]. Whenever the user wants to make a phone call, Tap-Wave-Rub asks her to perform a wave gesture, if the wave gesture is not detected within 10 seconds Tap-Wave-Rub does not allow her to make the phone call.
In our attack, SMASheD records a valid wave gesture and replays it. SMASheD was able to deceive Tap-Wave-Rub successfully.
 1. Haoyu Li, Di Ma, Nitesh Saxena, Babins Shrestha, and Yan Zhu. 2013. Tap-Wave-Rub: lightweight malware prevention for smartphones using intuitive human gestures. In Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks (WiSec '13). ACM, New York, NY, USA, 25-30. DOI=10.1145/_PHONE_._PHONE_ _URL_


text:
Dolphin Pregnancy Is a Drag, Literally
A bottlenose dolphin.
CREDIT: Chris Johnson – earthOCEAN
The extreme physical changes that come during pregnancy may be most evident in humans, but they plague other animals as well. New research shows that pregnant dolphins are so hefty the increased drag on the body makes them swim slower.
"They have this huge body and that creates a large frontal surface area and that drag is going to pull at them," study researcher Shawn Noren, of the University of California, at Santa Cruz, told LiveScience. "Swim performance is lower as well."
It's possible that this extra effort to swim fast could have an impact on the species' survival. If the pregnant dolphins can't escape predators or keep up with their group when chased by tuna fishermen, it could explain why the population isn't rebounding as quickly as expected, Noren said. (Groups of dolphins and groups of tuna tend to live in close proximity, so tuna fishermen chase down dolphins to get to the tuna that usually live below them.)
Dolphins in action
Noren filmed two pregnant dolphins at Dolphin Quest in Hawaii. They were nearly full term. She compared these videos with video taken two years after the pregnancy and found that not only did the larger fully pregnant females produce more drag as they swam through the water, their swimming technique was also altered.
An analysis showed that by having a greater surface area due to their pregnant bellies, which meant more water for the dolphins to push out of their way as they swam, the drag on their bodies increased by about 50 percent compared with their svelte, non-pregnant state.
"When this animal is not pregnant it can swim exactly twice as fast and get the same drag," Noren said.
Because of where the baby dolphin sits (near the mama's tail) during development, the mothers also didn't have as much flexibility at near full-term. They couldn't flip their tails up and down as far as they could after giving birth, so they compensated by flipping their tails about 14 percent more often. [Infographic: How Long Are Animals Pregnant?]
"That whole second half of the animal's body is what the dolphins use to swim, and that fetus is sitting back there toward the back part of the tail," Noren said. "We measured the same animals after birth [of their baby], and they were moving their tail flukes higher when they weren't pregnant than when they were."
These weighed-down mamas might have more trouble outrunning predators (or tuna fishermen) in the wild. Noren notes that their wild predators, which include sharks and some whales, can reach speeds faster than these pregnant dolphins and so might be able to overtake them in a chase.
During these chases, fleeing either aquatic or human predators, young, sick or pregnant dolphins may lose their group, which, Noren said, "could explain why the population isn't recoveringat the expected rate."
This kind of pregnancy drag is likely present in every animal. Birds and land animals (and even insects) need to fight against gravity to keep moving, and as they grow larger this gets more difficult.
"Every animal has shown reduced performance [during pregnancy] and becomes quite sedentary," Noren said. Not many studies have been able to show exactly how much of a drag pregnancy can be.
The study was published Nov. 24 in the Journal of Experimental Biology.
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Paint | Characteristics of an ideal paint - Ishwaranand
Paint | Characteristics of an ideal paint
Characteristics of an ideal paint
Paint, Characteristics of ideal paint, An object of Paint, Constituents of Paint oil Paint, Types of Paints, Classification of Paints,
An object of paint
 1. It protects wood from decaying
 2. It prevents corrosion of metal
 3. It protects the surface from the harmful effects of atmospheric agencies
 4. It gives a decorative and attractive appearance that the surface
 5. It makes the surface safe & clean
Characteristics from an ideal paint
 1. It should be cheap & economical
 2. It should stick well to the surface and should be able to seal the porous substrate.
 3. Its consistency should provide easy workability.
 4. Each thickness of the paint layer should be adequate during good protection including decoration of the surface.
 5. The paint film should dry rapidly.
 6. These dried paint film should be ready to withstand the adverse weather effect for a lengthy time without spending shining.
 7. It should offer resistance to failure by checking, cracking also flaking separate within thin pieces.
 8. It should possess good moisture resistance.
 9. Its colour should not fade beyond time.
Constituents about Paint Oil Paint
Oil paint is commonly made up of 6 principal constituents
 1. A base
 2. An inert filler or extender
 3. Colouring pigment
 4. A vehicle
 5. A solvent or thinner
 6. A drier
 1. It is generally, metallic oxide and is used in the form of powder.
 2. It a pigment that forms the chief ingredient of paint.
 3. The most important purpose of adding a base in paint is to make an opaque(non-transparent) coating to hide the surface to be painted.
 4. It provides resistance to abrasion and prevents shrinkage cracks likely to be formed in the film, during drying.
 5. White lead, red lead, zinc oxide, iron oxide, and titanium whites are the bases commonly used.
Inert filler or extender
 1. It is a cheap pigment added in the paint to reduce its cost.
 2. It modifies the weight of the paint and makes it more durable.
 3. The commonly used inert fillers or extenders are Barytes (Barium sulfate), lithopone, silica, silicate of magnesia or alumina, whiting, gypsum, charcoal, etc.
 1. It is a white or coloured pigment, mixed in the paint to get the desired colour of the paint.
 1. It is a liquid that acts as a binder for the various pigments, bases, extender and colouring pigment.
 2. The vehicle makes the paint in the state of fluid and helps to spread its ingredients uniformly over the surface to the painted
 3. Here forms as elastic, resistant to abrasion including a reasonably impermeable film about drying
 4. Refined linseed oil is a commonly used vehicle in oil paints.
 5. Tung, perilla, soybean, fish, sunflower, tobacco seeds are also being used as vehicles in various combinations with linseed oil or without linseed oil
Solvent or thinner
 1. That is a liquid which thins the consistency of the paint including evaporates after some paint film has been applied
 2. It imparts good properties such as brushability, smoothness, and flow
 3. Turpentine's, pure oils, petroleum spirit, and highly solvent Naptha are commonly used as solvent or thinner
 1. It containing metallic compounds and are used in small quantities for accelerating the drying of the paint film.
 3. Litharge, lead acetate, manganese dioxide, including cobalt are the driers commonly practised.
 4. Not more than 10% (by volume) of the drier should be used in an oil point.
 5. If used in excess, they tend to destroy the elasticity of the paint which finally leads to its flaking.
Types of Paints
The various types of paints
 1. Aluminium paints
 2. Anti-corrosive paints
 3. Asbestos paints
 4. Bituminous paints
 5. Bronze paints
 6. Cellulose paints
 7. Casein paints
 8. Cement-based paints
 9. Enamel paints
 10. Oil paints
 11. Rubber base paints
Classification of paints
Based on binders
 1. Oil paints
 2. Paint based on non-oil resins
 3. Waterbased paint
 4. Miscellaneouspaint
Based unused
 1. Primer(undercoat & finishing coat)
 2. Acid& alkali resistant paints
 3. Fire-resistance paints
 4. Fungicidalpaints
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Films > Empowerment
12 Cameras: Haitian Women Share their LivesAlessandra Villaamil
Filmmaker's website: _URL_
Film DescriptionThere are an estimated 80,000 Haitian migrants, mostly women and mostly undocumented, living and working in the Dominican Republic. These women are easy targets for trafficking and exploitation. They face the constant fear of arbitrary deportation. Their Dominican-born children are denied citizenship, legal identity, valid passports and are largely denigrated by Dominican society. The Haitian migrant women featured in the documentary were taught by industry professionals to use digital cameras and audio recorders to become efficient storytellers in their communities. The women produced 12 stories of hope and struggle, discrimination and poverty as they claim their children's rights to civil existence.
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How to Easily Resize Window In Gnome [Quick Tips]
How do you usually resize a window? Move your mouse pointer to the corner of the window and click to resize it, simple, right? Well, if you are using Gnome (Linux), resizing an application window can be a hit or miss affair. In some applications (such as Nautilus), the corners width are huge and you can easily click and drag to resize them. However, in other applications, the sidebar and corner width is only a pixel wide and moving your mouse cursor to that exact point (where the cursor become the resize arrowhead) can be a tedious task.
Here are some ways you can use to make resizing the window an easier, and enjoyable task.
1. Alt + Middle click
At anywhere in the window, press "ALT" key and the middle button of the mouse and the cursor instantly become an arrowhead. You can then move in the direction that you want to resize.
2. Press At + F8
The "Alt + F8" hotkey is a quick keyboard shortcut to activate the resize mode. Once in the resize mode (with a translucent overlay), you can use the arrow key to resize the window horizontally or vertically. Once you are done, hit Enter to return to the window mode.
3. Configure own hotkey via Compiz
If you are using Compiz, it comes with several more options that you can configure.
Open your CompizConfig Settings Manager (System -> Preferences -> CompizConfig Settings Manager).
Scroll down the list to find "Resize Window".
Click on it to enter its configuration page. From here, you can enable and assign the hotkey for different resize mode. In this example, I have enabled the "Initiate Outline Window Resize" mode and assign the hotkey "Alt + Super + W" to activate it.
That's it. This should solve your window resizing woes.


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Optimizing MD parametrization on the basis of QM
Post date: Aug 2, 2012 3:32:49 PM
How to check if MD geometry (caused by the current parametrization) is consistent with the QM one.
Note that QM is computed in vacuo with gaussian03 and may be very slow.
- Parametrize the fragment
- Run a short MD run, preferably of solvated system
- Compute (or check visually) the average structure
QM part (based on Gaussian)
module add ambertools module add gaussian antechamber -i BEN.pdb -fi pdb -o BEN.gin -fo gcrt -nc 1 -pf y # optionally add: -gm "%mem=1000MB" -gn "%nproc=8"
BEN.gin and change the first line in… (not necessary?)
_TAG_/6-31G* Test opt. Then:
g03 BEN.gin antechamber -i BEN.log -fi gout -o BEN-QM.pdb -fo pdb -nc 1 -pf y
This gives you
BEN-QM.pdb, that you should compare with the structure computed in the first step.
IMPORTANT 1. In presence of symmetry, geometry can converge to a wrong minimum. In doubt, start from non-symmetric structures (e.g. add noise)!
IMPORTANT 2. If you get "Write error in NtrExt1: Bad address" or similar: gaussian only works on mio and a few other machines due to the "va address randomization". Ask sysadmins to disable.
Runs on 4 cores by default: 30' for BEN on mio.
If you want to improve the parametrization of the MD structure:
- Identify the torsion angle to be changed (e.g. ca-ca-c2-n3 for BEN)
- Check that it is used only once in the system (parameters are defined by atom type)
- Identify the direction of the change required (e.g.: multiplicity? minimum? harmonic constant?)
- Put the changed parameter in a
DIHE ca-ca-c2-n3 1 1.500 000.000 4.000
- Load the frcmod together with the others, and build the system as usual
- Repeat the MD step until sufficient accuracy.


Brian Switek: How did bones evolve? © Getty Images
Brian Switek: How did bones evolve?
Fossil fanatic Brian Switek explains what a bone actually is, and why they are so important in human history.
Brian Switek, the pen name of science writer and fossil fanatic Riley Black, this year released a book called The Secret Life of Bones: Their Origins, Evolution and Fate (£9.99, Duckworth). In it, she explains how and why we evolved bones, and explains the relationship we humans have with these sturdy struts of osseous tissue.
In this week's episode of the Science Focus Podcast, she helpfully explains what a bone is and how they turn into fossils, as well as how they revealed Richard III's diet and were historically used to justify scientific racism, and why Hollywood is getting aliens all wrong.
Let us know what you think with a review or a rating wherever you listen to your podcasts.
Listen to more episodes of the Science Focus Podcast:


Ubongo is a Tanzanian social enterprise that creates interactive edutainment for learners in Africa, delivered to them via the technologies they already have. An important factor behind the success of Ubongo is a continuous human-centred design process and 'design with the user' approach – in this case the users are Tanzanian children aged 3–6 years and their parent. Building user testing and rapid experimentation into the production process has allowed Ubongo to craft a product that is much more effective and engaging than if they were to simply create from prior knowledge and expertise. As this example shows, there can often be a big difference between the two.
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(Or "Multiple Master Font") A font that is a mixture of two or more other fonts.
A Multiple Master font is a single font containing from two to sixteen master designs (the current implementation limit). A weight factor specifies the contribution of each master design for the creation of a multiple master font instance.
A Multiple Master instance is a single interpolation of a multiple master font as created by a user or application.
Try this search on Wikipedia, OneLook, Google
Nearby terms: multiple inheritance « Multiple Instruction Multiple Data « Multiple Instruction/Multiple Data « Multiple Master » multiple perspective software development » multiple value » Multiple Virtual Storage


Around How Long Did It Typically Take For A Wagon Train To Travel The Oregon Trail?
four to six months
How long did it take to travel by covered wagon?
During what century was the Oregon Trail most traveled?
How long was the average wagon train?
The wagon train would travel at around two miles an hour. This enabled the emigrants to average ten miles a day. With good weather the 2,000 mile journey from Missouri to California and Oregon would take about five months.
How fast did a Conestoga wagon travel?
about 10-15 miles per day
Did they really circle the wagons?
Although pioneer journals often mention "circling the wagons," it is not at all certain that all wagon trains pulled their wagons into a circle for the night, nor which of their possessions they protected inside those circles if they used them.
What were two main causes of death along the trail?
Nearly one in ten who set off on the Oregon Trail did not survive. The two biggest causes of death were disease and accidents.
How many died on the Oregon Trail?
65,000 deaths
Can you still hike the Oregon Trail?
Why did Pioneers go to Oregon?
Pioneer settlers were sometimes pulled west because they wanted to make a better living. Others received letters from friends or family members who had moved west. These letters often told about a good life on the frontier. The biggest factor that pulled pioneers west was the opportunity to buy land.
Why did settlers circle their wagons at night?
"To be on the safe side, the pioneers drew their wagons into a circle at night to create a makeshift stockade. If they feared Indians might raid their livestock—the Plains tribes valued the horses, though generally ignored the oxen—they would drive the animals into the enclosure."
What did they eat on wagon trains?
Beans and rice, dried meat and salted bacon, dried fruit, hardtack or crackers (hard dried bread which had to be softened in water to eat). They took flour and sugar and sometimes baked bread, biscuits, or pies.
Why did they say Wagons ho?
Fires had to be made from dried buffalo dung, or "buffalo chips," as settlers called them. The travelers usually ate a breakfast of sowbelly (bacon) and slam-johns (flapjacks). At seven each morning, Applegate gave the command, "Wagons ho!" Each wagon had to be in its assigned place at that time.Travel
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This paper presents a novel design for broadband zero-order half-wave plates to eliminate the first-order or up to second-order wavelength-dependent birefringent phase retardation (BPR) with 2 or 3 different birefringent materials. The residual BPRs of the plates increase monotonously with the wavelength deviation from a selected wavelength, so the plates are applicable to the broadband light pulses which gather most of the light energy around their central wavelengths. The model chooses the materials by the birefringent dispersion coefficient and evaluates the performances of the plates by the weighted average of the absolute value of residual BPR in order to emphasize the contributions of the incident spectral components whose possess higher energies.
© 2011 OSA
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Equations on this page are rendered with MathJax. Learn more.


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Water Project H2Ooooh! is a TV-series of 3D cartoon animations that were created based on story boards developed by Italian schools. In 2010 this initiative was devised by Gruppo Alcuni in collaboration with the UNESCO Venice Office and Rai Fiction.
With "Water Project H2Ooooh!" 6,000 students ages 6 to 16 from 280 Italian schools were actively engaged to create a storyboard (or in other words a series of drawings representing the main scenes of a cartoon) on the theme of water and the issues related to its use, to its exploitation and to its limited supply. The schools took part in an educational course which included videos, books, etc which on the one hand allowed children to learn about the creation of animated cartoons and on the other hand it also encouraged a greater understanding of the situation related to water resources in our world today.
The project has been carried out during the 2008-2009 and 2009-2010 school years and was aimed at all teachers open to participating in a creative activity on the theme of water and science with their Primary or early Secondary school classes. The result is a 3-D animated television series in English and Italian (Italian subtitles) with six Pet Pals as main characters focusing on the issue of water protection, which has been broadcast on the public national broadcaster Rai Due in May and June 2010.


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How Long Does It Take for a Joint to Get Out of Your System?
This is the most common question asked by cannabis users. Well, there's no simple answer to this question, as there are so many variables that dictate how fast or slow a joint can take to get out of your system. However, if you're a weed user looking for answers before a scheduled drug test, there are two major factors that can make a difference—your physiology (as all people are different) and the amount of THC in a joint.
Table of Contents
one joint out of your system
How Much THC Is in One Joint?
In most cases, the amount of THC varies from strain to strain, from 5% to upwards of 30%. In our case, let's take an average level of 15%.
The average weight of a single joint is estimated to be 0.32 grams according to an article published by Christopher Ingraham in The Washington Post. [1]
Knowing this, we can calculate how much THC is in one average joint. Here's the math:
0.32 grams = 320 milligrams
15% THC of 320 mg = 0.15 × 320 = 48 mg THC
If you're smoking half of an average joint, then you consume 12 mg to 14 mg of THC, with about 10 mg to 12 mg going to the sidestream. On the other hand, if you're smoking an entire joint, then the average amount of THC consumed will range from 19 mg to 23 mg.
Another common joint size from the same article was 0.75 grams according to a survey among marijuana users by High Times based on 3,000 responses. Here's the amount of THC calculated from this joint size:
0.75 grams = 750 milligrams
15% THC of 750 mg = 0.15 x 750 = 112.5 mg THC
In this case, if you smoke half a joint, you will consume about 27 mg to 32 mg THC. On the other hand, if you smoke an entire joint, you'll consume between 50 mg and 60 mg THC, with a sidestream loss of about 40–50 mg THC.
Many other variables also determine how much THC is consumed. For instance, lung capacity, how much you inhale, and how long you hold your breath after each puff are some factors that will determine the amount of THC you consume. Another factor is sidestream smoke, where much THC is lost as you await the next puff.
Also important is the change in THC in the joint as you smoke. As the joint burns, more THC condenses toward its end, making the second half of the joint have a slightly higher THC level than the first half.
In the table below, you can see the approximate amount of THC in the joint depending on the THC level in the cannabis strain:
5% 10% 15% 20% 25% 30%
Pinner (0.32 gr) 16 mg 32 mg 48 mg 64 mg 80 mg 96 mg
Joint (0.75 gr) 37.5 mg 75 mg 112.5 mg 150 mg 187.5 mg 225 mg
How Long Does THC Stay in Your System?
Here's the science behind it:
According to a study, after smoking about 27 mg of ▵9-THC in a joint, THC-COOH in a smoker's urine was peaking at 180 ng/mL after 4 hours. [2]
According to another study, it was discovered that THC half-life goes from 1.4 days in the first days after smoking (without any major differences between frequent and occasional users) to approximately 4 days for occasional users and 7 days for frequent users in later days. [3]
This means that 27 mg will require about 3 days to get below the recommended 50 ng/mL drug test threshold because after 1.5 days it will be 180/2 = 90 ng/mL, and in the next 1.5 days, it will be 90/2 = 45 ng/mL.
For a confirmation test with a 20 ng/mL cutoff, infrequent users will need almost 5 days to test negative, while frequent users will need up to 7 days.
However, it's good to keep in mind that these calculations may vary significantly depending on many variables, which include age, body mass, lifestyle, and personal metabolism.
Read more: How Long Does Weed Stay In Your System?
How Long for One Joint to Get Out of Your System?
Here is the math:
In the study above, a weak marijuana strain was used. Let's take their findings and recalculate the number of days for other strains knowing how much THC is in the joint.
An average pinner with 15% THC has 48 mg of THC, which gives near 320 ng/mL of THC-COOH in the urine after smoking. This concentration will be reduced to 160 ng/mL in 1.5 days, 80 ng/mL in 3 days, and 40 ng/mL in 4.5 days, so you need almost 4 days to pass a drug test after smoking such a joint. Since THC half-life later grows to 4 and 7 days for infrequent and frequent users respectively, you may need from 8 to 11 days to get below 20 ng/mL and pass a confirmation test.
For a joint with 15% and 112.5 mg THC, the calculation will be 750 ng/mL THC-COOH after smoking, 375 ng/mL in 1.5 days, 187.5 ng/mL in 3 days, and almost 94 ng/mL in 4.5 days. With an increasing half-life it will take 8–11 days to get below 50 ng/mL and from 10 days to 2 weeks to get below 20 ng/mL.
Days to pass initial drug test with 50 ng/mL cutoff:
Pinner (0.32 gr) Joint (0.75 gr)
Casual user Heavy user Casual user Heavy user
5% 2 2 4 4
10% 3 3 6 7
15% 4 4 8 11
20% 5 5 10 14
25% 6 7 11 16
30% 7 10 12 18
NOTE! The calculations here are estimates, as personal metabolism has a major impact on the time THC needs to get out of your system.
To get THC out of your system completely down to zero, you need almost one month for infrequent users and a few months for heavy smokers.
How to Find the Exact Time?
To find the exact time a joint needs to get out of your system, you need to buy a home drug test to test yourself and control the level of marijuana metabolites in your system. One of the best home tests available is the UTest-O-Meter Multi-Level Home THC Urine Test. Unlike the usual tests, this one checks THC in the urine in 4 different levels, which are 20 ng/mL, 50 ng/mL, 100 ng/mL, and 200 ng/mL. This helps you to better understand how fast your body cleanses itself from traces of weed.
How to Reduce This Time
To speed up THC withdrawal and reduce the time a joint needs to get out of your system, you need to drink a lot of water, urinate frequently, and use marijuana detox kits to cleanse your urine and avoid failing a drug test.
 1. One of the big questions in marijuana research has been answered. Christopher Ingraham - The Washington Post.
 2. Chemistry, Metabolism, and Toxicology of Cannabis: Clinical Implications. Priyamvada Sharma PhD, Pratima Murthy, M.M. Srinivas Bharath - NCBI.
 3. Urinary Excretion of 11-nor-9-Carboxy-AgTetrahydrocannabinol and Cannabinoids in Frequent and Infrequent Drug Users. Anne Smith-Kielland, Bjørn Skuterud, Jørg Mørland - Journal of Analytical Toxicology.


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If a rough surface is illuminated by a coherent lightwave of wavelength λ1, it is not possible to determine the surface profile from the phases of the speckle field formed by the scattered light. If the rough surface is illuminated, however, by an additional coherent wave of wavelength λ2, the phase differences between the two speckle fields do contain information about the macroscopic surface profile even if subject to a statistical error. It is shown that (1) the macroscopic surface profile may be determined from the phase differences if the effective wavelength Λ = λ1λ2/|λ1 - λ2| is sufficiently larger than the standard deviation of the microscopic profile of the illuminated surface, and (2) the statistical error is reasonably small if the phase measurements are obtained from speckles of sufficient intensity. Using a heterodyne interferometer we demonstrate the feasibility of this technique. In the first experiment we determine the radius of curvature of a rough spherical surface. In the second experiment the macroscopic surface contour on two ophthalmic lenses of the same power variation, one with a grounded surface and the other with a polished surface, was determined.
© 1985 Optical Society of America
A. F. Fercher, H. Z. Hu, and U. Vry, "Rough surface interferometry with a two-wavelength heterodyne speckle interferometer," Appl. Opt. 24, 2181-2188 (1985)


How to send a Mailout
Use Mailouts to send targeted communication direct to clinicians phones with engagement tracking
Duncan Paradice avatar
Written by Duncan Paradice
Updated over a week ago
Mailouts are personalized messages sent directly to clinicians' phones, providing you with engagement tracking. They are primarily used for onboarding, rotations & quality improvement projects.
This article will show you two methods of sending your Mailout templates to clinicians:
 1. When inviting users to Med App - Users are not on the platform yet and you want to provide orientation
 2. From the Mailouts feature - Users are on the platform already
💡 Before sending a Mailout, ensure you've created a template!
Click here to learn more.
Sending messages Ad-Hoc from the Mailout feature
You can watch a quick video of the process or see below for the steps.
Steps to sending a message from Mailouts feature
 1. Open the Communications feature and select Mailouts
 2. Click 'Send New Mailout' & select users using Cohorts, role or a list
 3. Select your Mailout template
 4. Review, edit and preview before sending
Using Mailout for orientation during user invitation process
Mailouts are most commonly used during orientation & rotations to provide onboarding to the hospital, department or services. The below process will show how you can attach your Mailout template to provide tracking for engagement and accreditation.
Steps to sending a Mailout during user invitations
 1. Open 'users' feature and select the 'invite users button'
 2. Add user details, configuring role, cohort, and access duration
 3. Select your Mailout template and send it!
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The performance of Global Navigation Satellite Systems (GNSS) is known to be severely affected in multipath scenarios, providing a biased position solution which could jeopardize possible geodetic-grade applications. Indeed, multipath estimation and/or mitigation has attracted the attention of many researchers in the recent years. Nevertheless, few attention has been given to the detection of multipath. That is to say, acknowledging that a given scenario is corrupted by multiple propagation paths, and thus using adequate techniques to combat its effect. This paper proposes a statistical multipath detector based on an antenna array GNSS receiver. Specifically, the detector resorts to the estimated noise covariance matrix to compute a statistic that measures the dispersion of its eigenvalues. The theoretical distribution of such statistic is known. This is used by the proposed method to perform a Kolmogorov-Smirnov one-sample test to assess departures from the theoretical distribution, with the resulting detector being Constant False Alarm Rate. The detector is analyzed in terms of its probability of detection and an analysis is provided regarding its behavior under synchronization errors. Results of the detector under realistic scenarios are also discussed.


@File parameter will create a chooser for a single file. Here is an example in python:
<source lang="python">
# @File(label="Select a file") myFile
print(myFile)
</source>

You can request for multiple files or folders as well.

Example in ImageJ Macro Language:

<source lang="python">
#@File[] listOfPaths(label="select files or folders", style="both")

print("There are "+listOfPaths.length+" paths selected.");

for (i=0;i<listOfPaths.length;i++) {
myFile=listOfPaths[i];
if (File.exists(myFile)) {
print(myFile + " exists.");
if (File.isDirectory(myFile)) {
print("Is a directory");
} else {
print("Is a file");
}
}
}

</source>

The exact same code works for the [[Macros|ImageJ1 Macro language]], too.

You can set restrictions on accepted file types based on file extension (using a style property):

<source lang="python">
#@ File(label="Select an image file", style="extensions:png/jpg") myImageFile

print(myImageFile)
</source>
<source lang="python">
# @File(label="Select a directory", style="directory") myDir
print(myDir)
</source>

=== Styles ===

You can influence the visual style of some of the input widgets. See previous paragraph for an example for how to switch from file to folder selection. You can also switch

<source lang="python">
#@ String(choices={"Option 1", "Option 2"}, style="listBox") myChoice123
#@ String(choices={"Option A", "Option B"}, style="radioButtonHorizontal") myChoiceABC

print(myChoice123)
print(myChoiceABC)
</source>

[[File:Input-styles.png]]
[[Category:Scripting]]
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White certificates
What are the White Certificates?
The main public support tool for the diffusion of the energy efficiency in our country are the energy efficiency titles (EET), aka, White Certificates.
Basically, they are negotiable titles certifying the accomplishment of energy savings in the final uses of energy: a certification equals to a non-consumption of a tonne of oil equivalent (TOE).
A formula that deeply concerns companies :
The typical case, is a company asking for consultancy to an Energy Service Company as Seaside to realise internal efficiency projects.
Once completed, these projects will be presented to the related body, the GSE, a government company devoted to the promotion of the sustainable development, including energy efficiency.
Once all the requirement are verified, GSE releases the awarded EETs.
These lasts are not only simple documentation, but real certificates with economic value, variable in time, because in Italy there are some efficiency obligations for big energy and gas suppliers, that can be discharged through White Certificates acquisition linked to projects realised by third entities.
As a conclusion, the company who undergoes through efficiency intervention, not only benefits from the diminishments of consumption, but also gets economic contribution linked to the White Certificate value.
A high impact formula: according to the ENEA 2016 energy efficiency report, in the decade 2005-2015, the EET scheme produced savings up to 4.57Mtoe, revealing to be the most effective mechanism for energy efficiency.
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A Europe Made of Money
The Emergence of the European Monetary System
A Europe Made of Money is a new history of the making of the European Monetary System (EMS), based on extensive archive research. Emmanuel Mourlon-Druol highlights two long-term processes in the monetary and economic negotiations in the decade leading up to the founding of the EMS in 1979. The first is a transnational learning process involving a powerful, networked European monetary elite that shaped a habit of cooperation among technocrats. The second stresses the importance of the European Council, which held regular meetings between heads of government beginning in 1974, giving EEC legitimacy to monetary initiatives that had previously involved semisecret and bilateral negotiations. The interaction of these two features changed the EMS from a fairly trivial piece of administrative business to a tremendously important political agreement.
The inception of the EMS was greeted as one of the landmark achievements of regional cooperation, a major leap forward in the creation of a unified Europe. Yet Mourlon-Druol's account stresses that the EMS is much more than a success story of financial cooperation. The technical suggestions made by its architects reveal how state elites conceptualized the larger project of integration. And their monetary policy became a marker for the conception of European identity. The unveiling of the EMS, Mourlon-Druol concludes, represented the convergence of material interests and symbolic, identity-based concerns.


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Importing External Models in a Rotary Project
This section will present the process of importing the Full-3D STL model into rotary project, using a table leg as an example.
There are two basic use cases when importing an external model into the rotary job. The first case involves bringing a model designed for this particular job in another software. Thus the dimensions of the imported piece may already be correct and it can be desired to use them for the size of project. The second use case is when importing a stock model that would have to be scaled to fit on particular machine.
Aspire uses following workflow that covers both of those cases:
- Setting-up rotary project
- Choosing file for import
- Orientating the model in material block
- Scaling the model
- Finishing the import
Create a new job using the Job Setup form. It is important to set the job type as rotary to ensure a proper import tool is used in the next step.
If the dimensions of the project are already known, they could be specified directly.
If it is desired to fit the model to a given machine or stock available, set both the diameter and length to maximum. During import the model will be scaled to those limits.
If it is desired to use the imported model size, any size can be specified at this time. During the model import the project can be automatically resized to match the model dimensions.
In this example it was desired to fit the model into a specific stock size with a Diameter of 4 inches and a Length of 12 inches. XY origin was set to centre.
To start the importing process, use Import a Component or 3D Model tool from the Modelling tab
Make sure that the Imported model type is set to Full 3D model.
The first step is to position the imported model within the material. This step is necessary as this information is not present in the imported file. When the model was opened, the import tool chose the initial orientation, as can be seen below.
To help with orientating the model, the software displays a blue bounding cylinder. This cylinder has the rotation axis aligned with that defined for the material block and thus can be used as a reference. Its size is just big enough to contain the imported model at the current orientation. When the model orientation is changed, this blue cylinder will shrink or grow so it always contains the model. At this stage its exact dimensions are not important, as we are only interested in positioning the model correctly.
The software also highlights the rotation axis in red. This is particularly important when importing bended models. It is currently not possible to represent areas of model that are entirely below or above the rotation axis. This is the case in the example shown here. If the model was imported as is, the distortion would be created as can be seen below. Therefore it is important to position the model in a way such that the rotation axis is contained within the model.
The last guiding element displayed by the software is the red half arrow on the side of the cylinder. This arrow is indicating the position that corresponds to the center of the wrapped dimension in the 2D view. In this example the model is orientated in such a way, that front of the leg would be placed on side of the 2D view, rather than centre. Thus it is better to rotate model so this arrow points to the front of the imported model.
The import tool provides a few ways of adjusting the model orientation. The most basic one is the Initial Orientation. This can be used to roughly align the model with the rotation axis. This can also be combined with the Rotation about Z Axis.In this example the tool chose Left with no rotation. In order to align the front of the leg with the red arrow, one could use the Front and -90 as the Rotation about Z Axis.
Once the initial orientation is decided, further adjustments can be made using the Interactive Rotation. The default option - XYZ View - disables the interactive rotation. That means that the 3D view can be twiddled with a mouse. Selecting other options enables the rotation around the specified axis.
In this example, instead of changing the initial orientation to align the front of the leg with the red arrow, one could select X Model option and rotate the piece manually. When selecting single axis rotation, the 3D view will be adjusted to show that axis pointing towards the screen. If any mistake is made, it is possible to undo rotation using Ctrl+ Z
Notice that whenever the part is rotated, it is always centered in the cylinder. In this example it is not desired, since we need the rotation axis to be contained within the model. In order to move the model in relation to the rotation axis, one can use the Rotation Axis Movement
Similarly to the previously described tool, when Rotation Axis Movement is set to Off, the 3D view can be panned
Correctly positioning the model for importing may require a combination of the Rotation Axis Movement and the Interactive Rotation to achieve desired results with models that bend. It is important to make sure that rotation axis is hidden in order to avoid distortion. However it is also desirable to have the rotation axis being in the center of each segment of the piece to ensure tool has angle close to the optimal during machining. Usually it is also useful to rotate the model in view around the axis after the adjustment, as this allows us to inspect the model from each side without the need to disable the Interactive Rotation before changing the viewing angle.
It is important to understand that Aspire does not support 4-axis machining. That means that while the machined piece can be rotated and tool moves along the rotation axis and in the Z direction, it is not possible to move the tool in the wrapped dimension and thus the tool is always above the rotation axis and cannot be moved to the side.
This limitation is shown below. The first picture presents correct machining of the point. If the tool moves to another location though, the angle will be incorrect and even worse, the tool side will be touching the stock.
Once model has been positioned as desired, its size can be taken into account.
By default the tool will assume that imported model is using the same units as the project. If that is not the case, model units can be switched. In this example project was set-up in inches, while imported model was designed in mm. After switching model becomes considerably smaller and a red cylinder, representing current material block is shown, as can be seen below.
At this point it is possible to specify the model size, in terms of diameter and length. This can be done manually by typing desired dimensions, or by fitting to material. If Lock ratio option is selected, the ratio between diameter and length is kept. One can also tick Resize material block option. If it is selected, the material block will be scaled to match current size of the model, after OK is clicked.
If it is desired to use model size as material block size, one can just make sure units are correct, then tick Resize material block option and press OK.
If it is desired for the model to fit material, one could click Scale model to fit material and tick Resize material block.
In this example model was fitted to material. Since in this case length of the piece is limiting factor and lock ratio is maintained, this results in model having considerably smaller diameter than material block. Hence Resize material block option was ticked.
After pressing OK the model will be imported as a component. It is possible to modify it as any other component or add pieces of decorative clipart onto its surface if desired.
It is important to keep in mind the distortion caused by the wrapping process. That means that wrapped toolpaths will match flat toolpaths only at the surface of the blank. The closer to the rotation axis (i.e. deeper) the toolpath is, the more it will be 'compressed'. This fact have a profound implication for 3D toolpaths. Consider the example shown below.
As can be seen if there is substantial difference in diameter in different parts of model, generating one 3D toolpath for whole model will result in wrapped toolpath being overly compressed. Thus it is usually better to create boundaries of regions with significantly different diameter and generate separate toolpaths using correct settings for each diameter.
This section will present a process of importing Flat STL model into rotary project. Flat models are similar to decorative clipart pieces provided with Aspire and are supposed to be placed on the surface of modelled shape.
To start the importing process, use Import a Component or 3D Model tool from the Modelling tab
Make sure that Imported model type is set to Flat model
Again the first step is to select proper orientation of model. The tool will chose initial orientation and display model in the red material box. This box corresponds to the 'unwrapped' material block and its thickness is equal to half of the specified diameter of the blank.
If model is not oriented correctly, that is, does not lie flat on the bottom of the material box, as can be seen above, orientation have to be adjusted. To do that one can change Initial Orientation option and/or Rotation about Z Axis.
If imported model is not aligned with any of the axes, it may be necessary to use Interactive Rotation.The default option - XYZ View - disables interactive rotation. That means that 3D view can be twiddled with a mouse. Selecting other options enables rotation around specified axis.
Each rotation can be undone by pressing Ctrl+ Z.
Once model is properly orientated, units conversion can be performed. By default the tool will assume that imported model is using the same units as the project. If that is not the case, model units can be switched.
There is also model scaling option included. When Lock ratio option is selected, the ratio between X, Y and Z lengths are kept. Note that once model is imported, it


text:
Seven Ages Of Britain - Age Of Revolution
Seven Ages Of Britain, Episode 04 - Age Of Revolution
In this seven-part series British commentator and presenter David Dimbleby tells the story of Britain through its art and treasure.
Episode 04 - Age Of Revolution
In the 17th century the British people learnt to question everything. The result was the Civil War which spawned a re-invented monarchy, a scientific revolution and the great Cathedral of St Paul's.


text:
UON Engineering Car Park
Our first pilot project was installed at the University of Newcastle, on the main campus at Callaghan.
It consisted of small, surface-mounted sensors monitoring the occupancy status of car parks, which communicate wirelessly to a gateway housed within a nearby building. The status is communicated to the cloud for dissemination to mobile devices, web apps and digital road-side signage.
The purpose of the pilot project was to investigate the practicalities of such a system in the University environment. Details on the installation, reliability and scalability of the hardware were assessed, and surveys were conducted to gauge interest and feedback from the community.
The map then displayed availability in real-time:
Here are some examples of the power of the data.


The Man Behind the Graham Cracker
Did you know? The graham cracker is named after an American Presbyterian minister. Today we remember Reverend Sylvester Graham, who was born on July 5, 1794.
Graham was a social reformer who recommended a strict diet for people to stay pure and healthy. He advocated drinking only pure water and eating only a high-fiber vegetarian diet. This included bread made at home from unsifted wheat flour (as opposed to refined white flour).
Graham's followers began marketing graham flour, graham bread and graham crackers. (Graham was not involved in any of these products and never earned any royalties from their sales.) reports that "although Graham had his adherents during his lifetime, he was mostly regarded as a bit of a nut." For instance, Graham believed that mustard and ketchup cause insanity. (Come to think of it, that could explain a lot of things.)
(The reason why Graham advocated his stringent diet is best left to a separate discussion. But you can read more about that here.)
Whole wheat contains an array of phytochemicals. These naturally occurring plant chemicals contain antioxidants that can stimulate the immune system, repair damaged DNA and help your body fight cancer. Compounds include phytosterols (which can lower cholesterol) and tocols (which can prevent certain diseases).
American researchers studied six whole wheat products to characterize their antioxidant capacity. Products included biscuits, graham crackers, pasta, toasted chips, wheat crackers and woven wheat crackers. Analytical equipment included an Agilent gas chromatograph coupled to an Agilent mass spectrometer.
Interestingly, the researchers found that whole wheat content does not correlate with phytochemical content.
"Ingredients other than whole wheat in the products appear to contribute substantially to the phytosterol and tocol content," the researchers write, "as their composition were dissimilar to those reported for plain whole wheat." These "other" ingredients, the researchers theorize, may include soybean oil.
For more information go to:


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Thursday, December 21, 2017
Starting an Emacs Daemon Automatically and Transparently using ZSH
If GNU Emacs is one of your editors of choice, then you may want to consider running Emacs as a server. Using an Emacs server is very convenient, especially if you open many Emacs processes (as it happens when the EDITOR variable is set to emacs in your shell). The reasons why you would use an Emacs server are manifold, and the most important are:
 - Using an Emacs server results in a great increase in speed and responsiveness of Emacs.
 - The fact that sharing the same Emacs process implies sharing buffers, command history, and many other information.
Starting an Emacs Server
An Emacs server can be started in two ways:
 - Running Emacs as a daemon, using the --daemon option:
$ emacs --daemon
 - By launching it from inside an Emacs process using the server-start function:
M-x server-start
Once an Emacs server is running, you can use the emacsclient program to tell a running Emacs server to visit a file. The server and the client are quite sophisticated, and you can use them for example to connect a client to a server running on a remote machine. Most of the time, however, you'll be running the daemon and the client on the same host.
A question I get often is: how to start the server if it's not running and then connect to it? I've seen a lot of solutions to this problem, and probably one of the commonest is starting an Emacs server at login, and then using emacsclient to connect to it.
There's a fundamental thing I don't like about it: it's not transparent. However, since it's a very common approach, I'll quickly document how it's accomplished on macOS.
Starting an Emacs Daemon on macOS at Login
The canonical way to start a process when a user logs in on macOS is using launchd. launchd is the "system wide and per-user daemon/agent manager" and it "manages processes, both for the system as a whole and for individual users" (launchd(8) man page). The processes to be started at user login are called launch agents and are defined in plist files in the ~/Library/LaunchAgents directory.
The easiest way to start an Emacs server, then, is to launch emacs with the --daemon option. The corresponding launch agent file is the following:
Note: the emacs path and the UserName element must contain correct values for your system.
Once the launch agent descriptor has been created, it can be loaded using the following command:
# launchctl load -w /Library/LaunchAgents/gnu.emacs.daemon.plist
This solution is fine, but it has two major disadvantages: it requires a configuration, and the configuration is non-portable.
Starting an Emacs Daemon On-Demand and Transparently
A simpler and portable solution (provided you're using ZSH) is leveraging emacsclient's ability to start a daemon if none is found in a ZSH function. Instead of having to explicitly use emacsclient after a server has been started, wouldn't it be nice to always use the same command, start a server if none is running, and connect to it transparently? Assuming we can do that, why not just calling this command emacs?
Fortunately, this is very easy to accomplish with emacsclient and ZSH:
 - emacsclient is able to start an Emacs daemon if none is running using the -a option with an empty argument.
 - emacsclient can be invoked without a file name when the -c option is used, in which case a new frame showing the *scratch* buffer is created, mimicking emacs behaviour.
 - ZSH lets us easily create "aliases on steroids" using a function such as the following:
Now, every time you invoke emacs in ZSH, the shell will run the emacs() function instead, which will run emacsclient -c -a= and will forward all its arguments to it.
When using an Emacs daemon there are some things to take into account. And that's what the official documentation is for. I will only say that since you are now sharing a single Emacs process, its frames and its buffers, you may now want to use C-x # when done with a buffer (or C-x C-k). This way you will kill the buffer and it won't be left hanging around.
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text:
The Agent Network Accelerator Research Findings Report – Uganda
Agents are optimistic about the business, with the majority seeing themselves continuing as an agent in one year's time according to the survey report published today by Financial Sector Deepening Uganda and The Helix Institute of Digital Finance.
In Uganda the biggest barrier preventing poor people from accessing digital financial services is the cost and complexity of building and managing a sustainable agent network across a broad geography – the motivation for this follow-up research study on the evolution of the network since 2013. Over 2,200 nationally representative agent interviews were conducted, covering the following key areas: network structure, network operational efficiency, agent viability, quality of service and also, control and compliance.
The research findings highlight a number of positive attributes of Uganda's agent network: among others, high profitability and optimism among DFS agents, a high proportion of dedicated agents focused solely on DFS and airtime distribution, agent collaboration to manage liquidity, and high rates of initial induction training. The report also discusses several challenges, including the lack of diversity in product offering, high rates of crime and fraud reported by agents, high prevalence of Over-The-Counter transactions, low compliance, and insufficient monitoring.
These findings will be relevant not only to Mobile Network Operators and Agent Network Managers, but also to banks – especially with the emergence of agency banking – insurers and FinTech companies, among others.
Commenting on the research Christopher Musoke, Chief Executive Officer, FSD Uganda said "With the increasing use of mobile money and the eminent, arrival of Agency Banking following the amendment of the FIA, understanding the agents environment is increasingly important."
The Uganda report is part of The Helix Institute's Agent Network Accelerator (ANA) research project. ANA survey was a collaboration between the Bill & Melinda Gates Foundation, the United Nations Capital Development Fund (UNCDF) and MicroSave.
About FSD Uganda:
FSD Uganda is an independent, not-for-profit company whose objective is a deeper, broader and more inclusive financial sector in Uganda. It supports innovation, conducts research and helps improve policy, laws and regulation that shape the financial sector. For more, visit our website at _URL_
About Helix Institute of Digital Finance:
About The Helix Institute: The Helix Institute of Digital Finance, has established itself as the go-to-place for world class training and cutting edge insights in digital finance. Founded in November 2013, the Helix Institute has delivered training to over 450 digital finance practitioners from over 150 companies in Africa and Asia.


Definitions for hunchhʌntʃ
This page provides all possible meanings and translations of the word hunch
Random House Webster's College Dictionary
 1. (v.t.)to thrust out or up in a hump; arch:
 to hunch one's back.
 2. to shove, push, or jostle.
 3. (v.i.)to thrust oneself forward jerkily; lunge forward.
 4. to stand, sit, or walk in a bent posture.
 5. (n.)a premonition or suspicion; guess; theory.
 6. a hump.
 7. a push or shove.
 8. a lump or thick piece.
Origin of hunch:
1590–1600; appar. var. of obs. hinch to push, shove, kick, of obscure orig.
Princeton's WordNet
 1. intuition, hunch, suspicion(noun)
 an impression that something might be the case
 "he had an intuition that something had gone wrong"
 2. hunch(verb)
 the act of bending yourself into a humped position
 3. hunch, hump, hunch forward, hunch over(verb)
 round one's back by bending forward and drawing the shoulders forward
Kernerman English Learner's Dictionary
 1. hunch(noun)ˈʌnʧ
 a feeling, not based on evidence, that sth is true
 I had a hunch that I'd find you here.
 2. hunch(verb)ˈʌnʧ
 to sit or stand with your shoulders curved tightly inward
 people at the bus stop hunched against the cold wind; He sat hunched over a book.
 1. hunch(Noun)
 A stooped or curled posture; a slouch.
 The old man walked with a hunch.
 2. hunch(Noun)
 A theory, idea, or guess.
 I have a hunch they'll find a way to solve the problem.
 3. hunch(Noun)
 A hunk (piece of something)
 4. hunch(Verb)
 To slouch, stoop, curl, or lean.
 Do not hunch over your computer if you want to avoid neck problems.
 5. hunch(Verb)
 To push or jostle with the elbow; to push or thrust suddenly.
Webster Dictionary
 1. Hunch(noun)
 a hump; a protuberance
 2. Hunch(noun)
 a lump; a thick piece; as, a hunch of bread
 3. Hunch(noun)
 a push or thrust, as with the elbow
 4. Hunch(verb)
 to push or jostle with the elbow; to push or thrust suddenly
 5. Hunch(verb)
 to thrust out a hump or protuberance; to crook, as the back
 1. Hunch
 Hunch is a consumer web application that is building the "taste graph" of the internet, mapping every person on the internet to every entity on the internet and their affinity for that entity. An entity could be a web site, a cookbook, a hotel room, a celebrity, a restaurant, etc.Hunch creates a taste profile by asking them a series of questions which range from serious to profound and subsequently can make recommendations personalized to that user, which live in "topics".Topics vary widely, from entertaining subjects like 'Which superhero would you be' to more conventional questions like 'Should I Switch to A Mac?' The system then uses the answers to these questions to offer the user a suggested solution, a "hunch" of what the user would like.
Translations for hunch
Kernerman English Multilingual Dictionary
an idea or belief based on one's feelings or suspicions rather than on clear evidence
I have a hunch he'll be late.
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fieldnamesStatistics
Get statistics of every column in the input table.
fieldnamesStatistics provides detailed information on the column for the input table.
Operator Usage in Easy Mode
 1. Click + on the parent node.
 2. Enter the Fieldnames Statistics operator in the search field and select the operator from the Results to open the operator form.
 3. In the Input Table drop-down, enter or select the table on which this operator runs to generate the statistics.
 4. Click Run to view the result.
 5. Click Save to add the operator to the playbook.
 6. Click Cancel to discard the operator form.
Usage Details
fieldnamesStatistics(inputTable: TableReference, valuesLimit:Long)
Input
 - inputTable (TableReference): The table on which this operator runs to generate the statistics.
 - valuesLimit (Long) (Optional): Total number of distinct values in the JSON output. The default is 100.
Output
A table containing the column names and their statistics, for example, non null count, distinct count, min, max, mean, and stdev.
Example
Input
nameIDfloatValIPlongVal
test112.3212.32.43.411341235253
lhub210.510.32.43.411341230253
fieldnamesStatistics(table)
Output
fieldnamedataTypecountdistinctCountminmaxmeanstdevvalues
namestring22NaNNaNNaNNaN[{"value":"test","count":1},{"value":"lhub","count":1}]
IDinteger221.02.01.50.7071067811865476[{"value":"1","count":1}]
floatValfloat2210.512.31999969482421911.409999847412111.286934125967652[{"value":"12.32","count":1}]
IPstring22NaNNaNNaNNaN[{"value":"12.32.43.41","count":1},{"value":"10.32.43.41","count":1}]
longValbigint221.341230253E91.341235253E91.341232753E93535.5339059327375[{"value":"_PHONE_","count":1}]
© Devo Technology Inc. All Rights Reserved.


Understanding AD RMS Across Forests
If you are deploying AD RMS in an environment with multiple Active Directory Domain Services (AD DS) forests, you need to determine what support might be required for users or groups who are outside of the forest in which AD RMS is deployed. AD RMS uses AD DS to identify users and distribution groups. When an organization's AD DS deployment includes multiple forests, AD RMS uses AD DS contact objects to obtain the identities of users and groups that are part of a different forest than the AD RMS cluster. The problem is that user or group objects from other forests do not typically have representative objects that are in the forest where AD RMS resides. If you intend to use AD RMS to restrict permissions to users or groups who are from other forests, you need to configure your Active Directory forest appropriately to allow group expansion to occur across forests.
You can implement group expansion support across forests for AD RMS in two ways:


text:
Polish rover wins Mars Challenge
PR dla Zagranicy
The Magma 2 rover has won the prestigious University Rover Challenge competition for college students to design and build the next generation of Mars exploration craft.
Magma 2's creators, a team from the Technical University in Bialystok, north-eastern Poland beat Canadians from York University and Americans from the Oregon State University.
Other Polish robots to enter the competition - Scorpio constructed at the Technical University in Wrocław and Copernicus from the Mikołaj Kopernik University in Torun - took fourth and sixth places respectively.
The three rovers from Poland were the only vehicles from Europe that qualified for the challenge.
The 2011 Mars Society's University Rover Challenge was held between 2 and 4 June at the Mars Desert Research Station in Utah.
During the three days of the contests robots had to perform complicated tasks, including terrain reconnaissance, looking for traces of life in soil samples nd delivering medical help to an injured astronaut.
Apart from financial awards, the winners of the challenge will have the chance to present their machine during the Mars Society Convention with the participation of experts from NASA. (di/pg)


]> The repository administrator has not yet configured an RDF license. modelo.pdf preview.png indexcodes.txt text/html HTML Summary of #4914 SEPARATING NONLINEAR IMAGE MIXTURES USING A PHYSICAL MODEL TRAINED WITH ICA SEPARATING NONLINEAR IMAGE MIXTURES USING A PHYSICAL MODEL TRAINED WITH ICA (PDF) SEPARATING NONLINEAR IMAGE MIXTURES USING A PHYSICAL MODEL TRAINED WITH ICA (Image (PNG)) SEPARATING NONLINEAR IMAGE MIXTURES USING A PHYSICAL MODEL TRAINED WITH ICA (Indexer Terms) This work addresses the separation of real-life nonlinear mixtures of images, which occur when a paper document is scanned and the image from the back page shows through. A physical model of the mixing process, based on the consideration of the halftoning process used to print grayscale images, is presented. The corresponding inverse model is then used to perform image separation. The parameters of the inverse model are optimized through the MISEP technique of nonlinear ICA, which uses an independence criterion based on minimal mutual information. The quality of the separated images is competitive with the one achieved by other techniques, namely by MISEP with a generic MLP-based separation network and by Denoising Source Separation. The separation results show that MISEP is an appropriate technique for training the parameters and that the model fits the mixing process well, although not perfectly. Prospects for improvement of the model are presented. 2006 SEPARATING NONLINEAR IMAGE MIXTURES USING A PHYSICAL MODEL TRAINED WITH ICA Artificial Intelligence Machine Learning Machine Vision Neural Nets Almeida Mariana S. C. Mariana S. C. Almeida Almeida Luís B. Luís B. Almeida


Publication
ICNP 2014
Conference paper
You are how you touch: User verification on smartphones via tapping behaviors
View publication
Abstract
Smartphone users have their own unique behavioral patterns when tapping on the touch screens. These personal patterns are reflected on the different rhythm, strength, and angle preferences of the applied force. Since smart phones are equipped with various sensors like accelerometer, gyroscope, and touch screen sensors, capturing a user's tapping behaviors can be done seamlessly. Exploiting the combination of four features (acceleration, pressure, size, and time) extracted from smart phone sensors, we propose a non-intrusive user verification mechanism to substantiate whether an authenticating user is the true owner of the smart phone or an impostor who happens to know the pass code. Based on the tapping data collected from over 80 users, we conduct a series of experiments to validate the efficacy of our proposed system. Our experimental results show that our verification system achieves high accuracy with averaged equal error rates of down to 3.65%. As our verification system can be seamlessly integrated with the existing user authentication mechanisms on smart phones, its deployment and usage are transparent to users and do not require any extra hardware support.
Date
Publication
ICNP 2014
Authors
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text: Samples of crosslinked cis-polybutadiene were crystallized at different temperature and drawing degree. The melting behavior of the crystallized samples was analyzed detecting the retractive stress as a function of temperature. The experimental melting data were extrapolated to the equilibrium conditions to obtain the thermodynamic melting temperature as a function of the drawing degree. The extrapolated data were analyzed with different theoretical approaches. Results agree with a model in which chain-folding and extended-chain crystallization can coexist, depending on crystallization temperature and drawing degree.


OUJI-CR 5-68
No person may be convicted of forgery in the second degree unless the State has proved beyond a reasonable doubt each element of the crime. These elements are:
First, making/engraving/(causing to be made/engraved);
Second, without authority;
Third, a plate of a (promissory note)/(bill of exchange)/draft/check/(certificate of deposit)/(evidence of debt);
Fourth, issued by a bank;
Fifth, with the intent to use/(permit it to be used) for the purpose of taking therefrom any impression to be passed/sold/altered.
Statutory Authority: 21 O.S. 1991, § 1575.
Committee Comments
The crimes created by sections 1583 and 1584 are very similar in their elements to the crimes created by the statutes discussed under forgery in the first degree and prior second-degree forgery crimes. The Commission did not classify sections 1583 and 1584 under the earlier instructions because making false coins is generally thought of as a distinct crime called "counterfeiting," rather than the crime of forgery. Sections 1583 and 1584 are forgery crimes, however, because of the mens rea element indicated in the third element. In addition, since no Oklahoma cases have construed these two sections, it seemed more appropriate to deal with the sections separately to avoid cluttering the discussion of the forgery statutes normally used in Oklahoma.
Section 1588 creates a "classic" counterfeiting crime, i.e., making a false stamp. Whether the maker intends the stamp as a joke or as a specimen of his artistic skills, he has committed a crime. Section 1588 has never been construed in Oklahoma for the probable reason that the federal government has the paramount interest in protecting the manufacture of currency and stamps.
Section 1575 also seems to create a counterfeiting crime whereby the authority of a bank to issue certain types of documents is protected. Section 1576 is a definitional statute that indicates when a plate has sufficient resemblance to an authorized plate so as to come within the prohibition of section 1575. No Oklahoma cases have construed sections 1575 and 1576.


Ozone 'Groundhog' kiting wing for ground handling and training
Ground-handling is one of the most important aspects of paragliding and paramotoring progression. With the Groundhog, pilots can progress and learn the most basic or most advanced aspects of ground-handling in strong or light winds safely and easily.
Because the Groundhog is considerably smaller than a normal wing, it can be used for ground-handling training in higher wind, meaning that schools and students will lose less training days because of weather.
Also, the smaller size of the Groundhog makes it easier to use. Students are less likely to be dragged or picked up, and the wing's quick reactions to brake input and footwork help to increase the progression of the pilot.
 - The Ozone GroundHog is for ground-handling practice.
 - Small, simple design for easy training
 - Ground-handling is one of the best ways to improve your flying.
 - Can be used to practice ground-handling in higher winds than normal paragliders, Not for flight!