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Ithaca, N.Y. — This month, Cornell University released an Economic Impact Report that detailed how much money was spent by Cornell, how it was spent, and where it was spent for the 2013 Fiscal Year.
Although the report shows an overall impact across NYS, the numbers prove what most already knew — Tompkins County's economy is benefited greatly by having the university centrally located in Ithaca.
The report provides a reassurance that Cornell's spending and growth is moving in the right direction, according to Joel Malina, VP of University Relations.
Here are some of the findings in the 22-page report:
1 — Taxes paid at a few locations
Although a majority of Cornell property is exempt from paying taxes as an academic university, it pays taxes on a few locations like East Hill Plaza and the Business & Technology Park (because those locations aren't used for academic purposes). The report states that the university's tax bill is the third largest in Tompkins County.
2 — Lowest unemployment rate
In 2012 Tompkins County had one of the lowest unemployment rates not only among other counties nationwide, but the lowest in the state, at 6 percent. In 2013, that rate declined to 4.1 percent and continued to be the lowest rate in the state.
The study further suggested that Cornell economically impacts households of every income level.
"Such findings suggest that institutions like Cornell can help individuals across all income levels whose fortunes rise with those of the university," reads the report.
"The report attributes the county's low [unemployment] rate in part to the university's stabilizing economic effect for the county as a whole and for individuals at all income levels," wrote Cornell's Media Relations Office in a press release.
3 — Staying in Tompkins County
17% of the 2013 graduating class actually stayed Tompkins County, either to start building roots or to continue onto graduate school. It is unclear whether or not this is an increasing, decreasing or stagnant trend.
4 — Supporting buy local
— Cornell supports a "buy local" policy when purchasing from various vendors. The report disclosed that out of $586 million spent on vendors in 2013, $189.6 million was spent on goods and services located in Tompkins County, Central New York, or counties adjacent to Tompkins.
5 — Benefits of Weill
Weill Cornell Medical Center, located in NYC, brought in $851 million, the second largest source of income for the university, the first being tuition. In turn, WCMC purchased $263 million in goods from Vendors located within NYS.
The report encompasses a significant amount of data. To summarize: "through the base indicators of payroll, purchasing, and construction alone, Cornell University generated over 3.2 billion of economic activity in New York State in fiscal year 2013."


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they decided to found their own university < is it correct pls explain
I'm confused with this >> decided to
decided to found >> if to is to+inf >> it has to change like this [to+find] not [to+found] right?
decided to found >> decided +to >> if to is an prep. so it has to change like this [decided to finding]
or if you say in this case found is not participle of find so it means that in this sentence has 2 real verb. In grammatical it cannot has 2 real verb in the sentence without connector right?
I can see why you are confused. Sanjay is right. The infinitive "to" is always followed by a present tense verb.
He finds the treasure. He found the treasure. He decided to find the treasure.
But "decided to found the University" is correct in that it too uses the present tense verb. Why?
Because there are two different verbs that share "found". The verb "found" -- meaning to set up or establish -- and the verb "find" -- meaning to locate or discover.
I hope this helps.
|link||answered Sep 23 '12 at 14:10 Jeff Pribyl Grammarly Fellow|
Hero of the day
Person voted on the most answers.

source: openbmb/Ultra-FineWeb


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Activity: Talk or presentation › Talk or presentation at a workshop, seminar, course or other meeting
In this work, we explore the state-space formulation of network processes to recover the underlying structure of the network (local connections). To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology inference problem. This approach provides a unified view of the traditional network control theory and signal processing on networks. In addition, it provides theoretical guarantees for the recovery of the topological structure of a deterministic linear dynamical system from input-output observations even though the input and state evolution networks can be different.
11 Feb 2019
ITA 2019: Information Theory and Applications Workshop

source: m-a-p/FineFineWeb


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Nursing Home Defense Strategies
Thursday, June 17, 2021
1:00 p.m. - 2:30 p.m. ET
10:00 a.m. - 11:30 a.m. PT
This CLE webinar will review nursing home litigation defense strategies to counter the plaintiff's theories for frequently alleged injuries, such as pressure sores, falls, malnourishment, medication errors, neglect, or infection. The program will help counsel anticipate and curb plaintiffs' discovery and deposition strategies, mount defenses to liability, and navigate around the plaintiff's attacks on unavoidability, comorbidities, third-party fault, and failure to thrive. The program will also address when and how to invoke the Public Readiness and Emergency Preparedness (PREP) Act.
Litigation is inevitable for almost all long-term care facilities. Defense counsel must anticipate plaintiff strategies that often revolve around nursing homes and medical professionals' noncompliance with complex and elaborate regulations, internal procedures, or best practices.
Defense counsel must prepare to address broad discovery requests and scores of deposition notices as plaintiffs seek gaps or inconsistencies in medical records, care plans, and nurses' notes. A facility's best defense may be a strong documentary record.
Nursing home counsel should understand PREP Act and other defenses for cases related to or arising from the COVID-19 pandemic.
Listen as our authoritative panel of practitioners provides an overview of nursing home laws and regulations, discusses common types of injuries, and covers how to handle medical records and other discovery issues unique to these cases.
 1. Relevant laws, regulations, surveys
 2. Pleading and affidavit requirements
 3. Common types of injuries
 4. Common defenses and plaintiff strategies
 1. Demonstrating compliance with regulations
 2. Unavoidability
 3. Comorbidities
 4. Third-party fault
 5. The role of survey data
 5. Independent actor vs. enterprise negligence
 6. PREP Act
The panel will review these and other crucial issues:
 - Can a case be won or lost at a deposition?
 - Are the burdens of proof different under some statutory schemes than regular negligence?
 - How does counsel show the defendants provided all reasonable care?
 - What is the effect of state laws and PREP Act on defense strategies?
Ken Yood, Partner and Member, Healthcare Team at Sheppard Mullin will serve as a co-panelist.
Mr. Yood represents a wide range of healthcare providers and healthcare companies, including specialty and general acute hospitals (including local district, nonprofit and for-profit facilities), home health agencies, specialty pharmacy and infusion centers, pharmaceutical vendors, nursing facilities, and health information and management providers.
Click here for more information, including CLE credits by state and registration. (Early Registration Discount Deadline, Friday, May 28, 2021)
Practice Areas
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Map of flight path and driving directions from Dallas to Yuma.
Shortest flight path between Dallas Love Field (DAL) and Yuma International Airport (YUM).
How far is Yuma from Dallas?
There are several ways to calculate distances between Dallas and Yuma. Here are two common methods:Vincenty's formula (applied above)
- 1032.712 miles
- 1661.988 kilometers
- 897.402 nautical miles
Vincenty's formula calculates the distance between latitude/longitude points on the earth's surface, using an ellipsoidal model of the earth.Haversine formula
- 1030.547 miles
- 1658.505 kilometers
- 895.521 nautical miles
The haversine formula calculates the distance between latitude/longitude points assuming a spherical earth (great-circle distance – the shortest distance between two points).
Time difference and current local times
The time difference between Dallas and Yuma is 1 hour. Yuma is 1 hour behind Dallas.
Carbon dioxide emissions
Estimated CO2 emissions per passenger is 153 kg (337 pounds).
Frequent Flyer Miles Calculator
Dallas (DAL) → Yuma (YUM).


A bike helmet concept fo the Circular Economy.
CHB_01 is allowing the user to renew the bike helmet after a crash without throwing away the whole product. Instead, the safety-relevant elements get replaced.
CHB_01 uses a modular system in which each component is dedicated to its primary function. The Modular System allows replacing broken parts, like the foam core after a crash or a certain amount of time due to the degradation through UV-rays. Additionally, this enables upgrades of functionality, through different components, in the future.
Thanks to the modular system of the CBH_01 the helmet can be easily split into single type materials. This allows a streamlined recycling process. Furthermore, the reuse of materials reduces the environmental impact by replacing individual pieces instead of buying a new helmet. In addition, new material innovations allow CBH_01 even more eco-friendly.
Besides the lower environmental impact and the cost saving benefits, modularity also allows for mass customisation. Every user will be able to create his or her very own colour theme. Thereby the consumer builds a more profound emotional bond with CBH_01 which will lead to a higher acceptance of bike helmets.
Fynn Eckstein


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SUNDRY-II is an environment-friendly desiccant using natural materials. Using natural materials of calcium chloride and cereal scouring. In addition, it can absorb more than six times compared to silica gel.
Since no gelling agents are used, SUNDRAY-II is resolved into nature after use, thus SUNDRY-II gives little burden to the environment. SUNDRY-II recycles cereal scouring, which is a waste product from beer brewing, to gel the absorbed moisture for reducing the impact to the environment. This technology was approved by a Feasibility Study Program of Japan Small and Medium Enterprise Corporation as a 'recycled natural material applied desiccant with low environmental burden,
For further information contact: <_EMAIL_


What Do Marcus Smart's College Numbers Tell Us About His NBA Future?
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One of the most popular parlor games surrounding the NBA draft is finding comparisons for this year's prospects. Is Andrew Wiggins the next Kevin Durant or the next Corey Brewer? Which NBA player represents the best-case scenario for Jabari Parker? Who represents the worst-case scenario for Joel Embiid?
These types of comparisons aren't about scouting as much as they are a shorthand for true scouting. Comparisons can give you an idea about the game of a certain player, but they can also leave out a lot of information, missing nuance or inadvertently implying things that simply aren't true.
Even with those flaws, looking for draft-prospect comparisons is a useful tactic to begin building context around a player's skills while starting to dig into what type of player they might be in the NBA.
In an effort to leverage these comparisons into their most useful form, I borrowed a technique from Basketball-Reference to build a statistical model for making these comparisons.
Draft prospects from each season are compared across 21 different statistical categories, weighted equally, to draft prospects from previous seasons. Unfortunately, this method only works for comparing apples to apples, so the system is limited to collegiate draft prospects and doesn't include any international players.
The output of the model is a Similarity Score between 1-1000, representing how similar the player's statistical profiles are. For example, when we run Marcus Smart through the system these are the three closest profiles we find:
Player Similarity Score
Iman Shumpert 903
Tyreke Evans 892
James Harden 880
Iman Shumpert, Tyreke Evans and James Harden would seem to be a fantastic blend of potential career paths for Smart. Obviously, there is a wide gap between Harden and Shumpert, but if Smart's ultimate NBA path where to fall somewhere in between those two, whoever selects him in the draft would be assured of landing a pretty good player.
However, these Similarity Scores are not a projection; that is to say they are not directly indicating that Smart's NBA career will be similar to Shumpert's. They are simply a snapshot of what each player accomplished in college.
If we dig further into the numbers, we can start to add some context and really begin to suss out what they are telling us about Smart.
For example, while the talent level is strong in this set of comparable players, none of them actually play point guard in the NBA, which is Smart's listed position. All three were primary ball-handlers in college and frequently play with the ball in their hands in the NBA, but none of them play the same position as Smart.
In fact, if we extend the list to his 10-closest comparable players, we add the likes of Dominique Jones, Frank Williams, Dwyane Wade, Willie Warren, Tony Allen, Ronnie Brewer and Brandon Paul. Again, there is plenty of talent there, but of that list only Williams was actually a point guard.
The implication then is that there are some pieces of in Smart's statistical profile that make him more similar to other wing players than NBA point guards.
If we focus solely upon Smart's rebounding numbers (split into offensive and defensive rebounds per 40 minutes), here are his three-closest comparisons:
Player OREB/40 DREB/40 Percent Match
Marcus Smart 1.6 5.1 -
Gerald Henderson 1.7 5.0 98.6%
Corey Brewer 1.5 5.0 98.6%
Kareem Rush 1.6 4.8 98.2%
The percent match column shows how close of a match these players would be if we just looked at just the rebounding numbers instead of all 21 categories that make up the Similarity Scores. As you can see, Smart is a much better rebounder than most point guards, with numbers that compare favorably to wings and small forwards.
We see the same pattern with his defensive numbers—steals, blocks and personal fouls per 40 minutes:
Player STLS/40 BLK/40 PF/40 Percent Match
Marcus Smart 3.3 0.7 3.4 -
Iman Shumpert 3.3 0.2 3.3 95.2%
Victor Oladipo 3.0 1.1 3.4 93.8%
Dion Waiters 3.0 0.5 3.1 92.1%
Here, we again see Smart's numbers matching more closely with wing prospects. The good news is that they place him alongside some of the best individual defenders to come into the league in the past few drafts. Although Waiters has been mediocre defender so far in the NBA, he was a ferocious on-ball defender in college.
Between his steals and his fouls, Smart has the resume of a high-pressure defensive presencea resume that is more than supported by actually watching him play. Mike Schmitz of DraftExpress.com highlighted some of the same points in his draft profile for Smart:
Smart is prone to gambles and off-ball mistakes, but there is no doubt that he will be able to play NBA-caliber on-ball defense right away.
If we move into his passing numbers, we again see some distance between Smart and the players we would think of as true point guards. Looking at just those numbers—assists per 40 minutes, assists per field-goal attempt and turnovers per possession—here are his three-closest comparable profiles:
Player AST/40 AST/FGA TO/POS Percent Match
Marcus Smart 5.5 0.38 0.16 -
Reggie Jackson 5.4 0.35 0.16 98.1%
Sherron Collins 5.4 0.37 0.17 97.1%
Ben Hansbrough 5.0 0.36 0.16 97.1%
Of the three, only Jackson has been able to carve out an NBA career, and he is as much of a scorer as a shot-creator. The bottom line is that Smart's assists and ratio of assists-to-field-goal-attempts are both fairly low. Both of these things are influenced by his collegiate role at Oklahoma State and the scoring demands that were put on him. But they raise some questions about his ability to effectively facilitate in an NBA offense.
Lenny Ignelzi/Associated Press
The last two groups of stats to look at are Smart's scoring and shooting numbers. Here are the three-closest comparable profiles focused on scoring:
Player USG% PTS/40 FTA/40 3PA/FGA PTS/POS Percent Match
Marcus Smart 23.8% 20.5 9.2 0.42 1.06 -
Elliott Williams 23.3% 21.5 9.0 0.42 1.15 93.5%
Willie Warren 23.1% 20.2 7.5 0.40 1.03 93.2%
Iman Shumpert 23.2% 20.7 6.8 0.35 1.07 91.6%
Here are the three-closest comparable profiles based solely upon shooting percentages:
Player 2PT% 3PT% FT% Percent Match
Marcus Smart 51.4% 29.9% 72.8%
Jrue Holiday 52.8% 30.7% 72.6% 97.1%
Tyreke Evans 52.1% 31.1% 74.1% 97.0%
Dominique Jones 51.4% 27.4% 71.1% 96.8%
These are a less than inspiring group of comparable profiles on both accounts, particularly on the shooting side. Holiday has become a respectable shooter, but the lack of an outside shot continues to be Evans' Achilles' heel, and Jones is out of the league.
The good news is what the numbers appear to say about Smart's ability to get into the lane, draw fouls and finish around the basket. He accumulated free throws at a prodigious rate in college and clearly has the ability to make things happen off the dribble.
Those numbers temper some of the discouragement that comes with the players he compares to as a passer. Smart has the ability to break down a defense, but at Oklahoma State his offensive balance leaned slightly toward creating for himself. However, the potential would seem to be there for him to develop into a more effective shot-creator in the NBAif the team he winds up with helped nudge him in that direction, of course.
Having sifted through all of these different smaller categories, a clearer picture of Smart as a draft prospect emerges. Even as a rookie, he should be able to make a significant impact as a defender and rebounder, as he possesses the potential to make elite contributions as a point guard in both categories.
On offense, things are slightly more murky. His outside shooting is questionable, and while he has tremendous off-the-dribble ability, he hasn't channeled as much of that ability into shot creation for his teammates as you would normally see from a point guard.
But when you put the puzzle pieces back together, we arrive at that initial list of comparisons: Iman Shumpert, Tyreke Evans and James Harden. Obviously, there are no sure things when it comes to the NBA draft, but the numbers seem to be saying that Marcus Smart could be "good


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Toward Optimization of Multi-Pulse, Pulsed Field Magnetization of Bulk High-Temperature Superconductors07 Mar 2018
Pulsed field magnetisation (PFM) is the most practical method for magnetising bulk superconducting materials as trapped field magnets (TFMs), but the record trapped field achieved by PFM to date is still significantly less than the true trapped field capability of these materials. In this paper, a flexible numerical modelling technique based on the finite element method is used to provide a comprehensive and realistic picture of multi-pulse PFM, which has been shown to be effective in increasing the trapped field/flux over a single pulse. Firstly, the maximum trapped field capability of a representative sample is determined using two types of numerical model simulating field-cooling (FC) and zero-field-cooling (ZFC) magnetisation. Next, various sets of magnetic field pulses are applied to the bulk to analyse multi-pulse PFM. An increase in the trapped field can be achieved after a 2nd pulse and to do so an increased amplitude of applied field is required to maximize the trapped field fully. The numerical analysis shows that this occurs in subsequent pulses because it is more difficult for the magnetic flux to penetrate the sample and there is a lower temperature rise.


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(uh'k-sleh) The German scale of measuring the sugar content of must (in the US we use the Brix Scale). The aim of such scales is to determine the potential alcohol content of the finished wine. This is a critical measure of when to harvest.
UHX-leh] The German ripeness scale based on specific gravity of the must. It measures the same thing as the American Brix scale. In the Rheingau, for example, a wine must measure 95 Oechsle/22.6 Brix or more to be considered an Auslese.
The German measure for the sugar concentration in grape juice or wine.
measure of sugar concentration in grape juice (and therefore grape ripeness) or must common in Germany.
(Germany) A scale of must weight based on specific gravity. It is vital to assess the must weight in Germany as it determines the Prädikat classification. An Oechsle unit is equal to one unit of specific gravity above 1000. For example, the must of a Mosel with specific gravity of 1090 has an Oechsle of 90 and therefore qualifies as an Auslese. Other measures of must weight include Baumé, Brix and KMW. My article on must weight in my Sweet Wine series gives more information.

source: HuggingFaceFW/fineweb-edu


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Numerical analysis of penetration, radiation, and scattering for a 2D slotted semielliptical channel filled with isorefractive material
journal contributionposted on 03.02.2014, 00:00 by Danilo Erricolo, Michael D. Lockard, Chalmers M. Butler, Piergiorgio L.E. Uslenghi
Electromagnetic penetration through an aperture into a cavity is considered. The structure of interest comprises a slotted infinite conducting plane backed by a semielliptical channel. Three independent integral equations are used to study the structure of interest,for which analytical expressions are derived in another paper and involve summations of Mathieu functions. Numerical results from the analytical expressions for the electromagnetic fields are compared with those from integral equation methods for various cases of excitation and isorefractive materials. The agreement is excellent in all cases.


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Wave attenuation in partially filled unsteady pipe flow
Much research activity is carried out to reduce water consumption for domestic purposes. This leads to the possibility of reducing the amount of water introduced into building drainage systems. However, an accurate estimation of the flow attenuation within building drainage pipes is of great importance to prevent solid eposition and subsequent blockage. The research is focused on the field of subcritical flow in partially-filled pipes. Experimental and numerical investigations have been carried out to study the wave attenuation in the following configurations encountered in drainage pipe systems: i) A simple pipe, ii) A pipe subject to one concentrated lateral inflow, iii) A pipe with gate fixed at the downstream section, generating an interaction between wave and backwater profiles. In the present study the Saint-Venant equations are derived in their general and characteristic forms. A number of numerical procedures for solution of the Saint-Venant equations are reviewed, and the rectangular grid characteristics method, diffusing scheme and Strelkoff's implicit method are chosen to solve the equations. The stability of the finite-difference methods used is investigated for free-outfall and controlled outfall boundary conditions. An experimental installation consisting of 0.105 m diameter uPVC pipe is used to investigate the characteristics of the flow and to form test cases for the numerical methods. Comparisons between computed and observed depth hydrographs, peak depths and depth variations along the pipe are made for subcritical flow in a pipe of slope 1/300. The rectangular-grid characteristics method and the diffusing scheme are also applied to supercritical flow. Flow tests are undertaken for supercritical flow in a pipe of slope 1/200 to validate the use of these methods. The investigation revealed that the attenuation rate of peak depths is affected by the volume of the waves. The implicit method is the most suitable method, dealing efficiently with most problems encountered in drainage pipe systems of flat slope. The diffusing scheme can model the attenuation of supercritical flow within building drainage pipes.


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Unformatted text preview: 7.5 8.0 8.5 Strongly acid Medium acid Slightly acid Very slightly acid Very slightly alkaline Slightly alkaline Medium alkaline Strongly alkaline B. Exponents and Logarithms Since calculation of pH involved the use of logarithms the following is a refresher on exponents and logarithms: y * y * y = y 3 ; A A 1 = A A 1 = A 1 A 1 = 2 A 1 0.1 = 10 1 = 10-1 ; 0.01 = 100 1 = 2 10 1 = 10-2 (10 N )* (10 M ) = 10 N+M In general, we can always write any number X as another number A raised to a power y, where y need not and usually is not an integral (whole steps). That is, X = A y . The exponent y is called the logarithm of X to the base A and is written as follows: log A x = y...
View Full Document
- Spring '08
- pH, Logarithm, alkaline alkaline alkaline


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Here's whether there were sharks when the Titanic sank:
Sharks may have been in the ocean when the Titanic sank, but none of the survivors reported seeing them.
Sharks are very sensitive to sounds and vibrations. Sometimes they move closer to investigate, sometimes they flee.
If you want to learn all about the appearance of sharks when the Titanic sank, then you're in the right place.
Let's get started!
Were There Sharks When the Titanic Sank?
Theoretically, there could have been sharks in the ocean when the Titanic sank, but none of the survivors reported seeing them.
Sharks are very sensitive to sounds and vibrations. They sometimes move closer to investigate and other times turn to flee.
The ruckus produced by the ship crashing into the iceberg would have been sensed by the majority of marine life for miles away.
One animal that's unafraid to inspect anything is the orca, also known as the "killer whale." They live in all oceans and most water temperatures.
There isn't any evidence that Orca Whales were at the disaster site. If there were orcas present, then sharks wouldn't have been there because sharks won't go near orcas, which are their predators.
Were There Shark-Related Incidents When the Titanic Sank?
There were no known shark attacks on Titanic survivors. None of the survivors reported shark-related incidents.
However, we have to consider the fact that the people responsible for the lifeboats kept the survivors away from the people in the water. If the lifeboat personnel were far away, they could have missed seeing a shark attack.
Only the people in the water could have been shark victims. A shark won't attack a boat. It might, at most, give it a bump to test it.
The people rescued from the water were hypothermic.
It's possible that while being in the water in nearly comatose states, they didn't notice other people being dragged under. Even if they saw such horrors, they might not have remembered them later because of their trauma.
None of the corpses pulled from the water showed any signs of shark bites on them. However, most of the corpses were never found.
Low Impact Attacks
If any attacks occurred, they were low-impact attacks by Greenland sharks. These sharks have black coloration and move very slowly, so it would be hard to notice them even though they are as big as great white sharks.
Low-impact attacks mean that the shark will get close to a target and bump it. If there is no response (the target is dead or unconscious), the shark will drag the body under. But if the target kicks back, the shark will swim away.
Were There Any Shark-Attack Survivors From the Titanic?
No survivors of the Titanic claimed to be attacked by a shark. There is no evidence of sharks attacking people in the water after the ship sank.
Sharks Don't Like Human Flesh
If a shark bites a human, it's only to test whether the prey suits its taste. Sharks usually discontinue their attacks on humans because they didn't like the way humans taste.
The only shark species that likes human flesh is the bull shark. It lives in areas of the Atlantic Ocean stretching from Massachusetts to southern Brazil.
The only likely scenario where sharks may have mutilated victims of the Titanic is one in which they scavenged corpses from the seabed. The Titanic sank in Greenland shark habitat, and Greenland sharks are a completely opportunistic shark species.
Such a plentitude of dead bodies in the water would draw sharks from miles away.
The longest living animal on the planet, Greenland sharks can reach 400 years of age. If the scavenging scenario is true, there are probably still living Greenland sharks that fed on Titanic victims stranded in the Atlantic Ocean.
Cases of Shark Attacks After a Shipwreck
The most famous case of shark attacks following a shipwreck is the 1945 Indianapolis incident. The Indianapolis was a United States naval ship sunk by the Japanese during World War II.
After being hit by two submarine torpedoes, the Indianapolis sunk in the Pacific Ocean in just 12 minutes. Of the 1196 people on board, only 900 made it alive into the water. What they thought was their lucky day was just the beginning of the worst shark nightmare in history.
As time passed, the survivors formed groups and held onto objects and bobbing corpses to stay afloat. The explosion and the blood in the water drew many shark species, among which was the aggressive species known as the oceanic whitetip shark.
The sharks were mainly focused on the floating dead, but there were also survivors with open wounds that attracted more of the predators. When the sailors noticed someone was injured or bleeding, they tried to quarantine themselves and swim away.
Survivors pushed the dead away as a form of sacrifice. One group of sailors made the mistake of opening a can of Spam. The strong scent of meat drew the predators nearer, so the sailors threw the Spam away to avoid being swarmed.
The sharks fed on the dead for days while the survivors watched helplessly.
Most of the people were paralyzed by fear that went on for days because there wasn't any sign of a rescue. Many people died out of thirst or sat poisoning when they succumbed to thirst and drank seawater.
After 4 days, only 317 survivors were left to be rescued. Between 50 and 150 people died as a result of shark attacks.
There's no way to know the exact number of victims, but the Indianapolis remains one of the most horrific shark-related incidents in history.
Where Was the Titanic Going?
The Titanic was on its maiden voyage from Southampton (England) to New York City (USA). The ship set sail on April 10, 1912, and first arrived at Cherbourg docks in France. The last European stop was Queenstown, Ireland. On the afternoon of April 11, the ship headed toward the new continent.
Four days later, the expensive British liner sank in the North Atlantic Ocean. It was approximately 400 miles off the coast of Canada, and Newfoundland was the closest town.
What Shark Species Live In The Atlantic Ocean?
The US eastern coastal waters are home to more than 50 species of sharks. The size of the sharks varies from very small dogfish to enormous great white sharks.
The Great White Shark
The most feared predator to swim the North Atlantic Ocean is the great white shark. These animals are fast, strong, and potentially aggressive. On the night of the Titanic's crash, there's a tiny possibility that there were some great whites in the waters.
The reason that the chance was tiny was the temperature of the water. Great white sharks mostly enjoy swimming in waters with temperatures between 54 and 75 0F (12-24 0C). The temperature of the water when the Titanic sank was -2.2 0C.
The Northeast coast of the United States, along with Californian coastal waters on the southwestern coast, has a greater concentration of great white sharks than any other coastal waters.
The Greenland Shark
At the time of the Titanic disaster, the most probable shark species to dwell in the freezing North Atlantic waters was the Greenland Shark. These sharks don't mind being in the cold. You can even find them swimming under Arctic ice packs.
The Greenland shark prefers calm nights. Under such circumstances, they come near the surface. One of the reasons the Titanic crew didn't notice the iceberg soon enough was that the ocean was particularly calm on the night of the crash.
Only two Atlantic Ocean shark species can tolerate cold water:
- Greenland shark
- Black dogfish shark
Black Dogfish Shark
The black dogfish shark is a scavenger and an opportunist. It feeds on bony fishes, squids, octopuses, crabs, lobsters, shrimp, etcetera. The average black dogfish shark is 24-30 inches (60-75 cm) long, but some can grow up to 3.6 ft (1.1 meters).
Black dogfish sharks are completely harmless to humans. There has never been a reported incident of a human being attacked by this species. However, the possibility of scavenging human corpses in the water when there is a shortage of other food remains.
Are There Many Sharks in North Atlantic Ocean in April?
There are sharks in the North Atlantic Ocean throughout the year.
In April, the month when the Titanic sank, there are usually fewer sharks in the north, especially in the open ocean, because of low water temperatures.
In Which Ocean Did Most Shark Attacks Happen?
The incidence of shark attacks in the Atlantic Ocean is higher than in other oceans. The reason for the higher incidence is probably the different strength and size of the Atlantic shark species.
Most of the shark attacks in the Atlantic are by smaller sharks like the blacktip. Some of the currents such as the Gulf Stream can bring warm waters near shore. These waters have baitfish to which the sharks are attracted.
Most cases of bites in the Atlantic Ocean are minor and insignificant. They generally happen in warmer months because that's the time when there are more people in the water, either swimming or surfing.
If you compare the number of shark attacks on humans in the North Atlantic Ocean and the South Atlantic Ocean, the chances of getting bitten in the southern part are much higher.


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Nepal's First Aircraft Flies
Eight engineering students of the Pulchowk Engineering Campus Institute of Engineering in Kathmandu formed Danfe Aircraft Fabrication Group and used $12,500 worth of locally available materials (plus a Rotax) to build Nepal's first aircraft, dubbed Danfe. The two-seat aircraft -- Nepal's first aircraft -- has a maximum takeoff weight of 880 pounds and successfully flew Saturday at Pokhara city. Danfe most closely resembles an ultralight trike, is powered by a 65-hp Rotax 582 and was actually built last year based on two years of research and development as an academic project, but the aircraft only received permission to fly last week. Lacking local pilots, the group allowed a Russian pilot the honor of first flight. The ride reportedly lasted a little more than one minute and was witnessed by a crowd of onlookers that included the Minister of Science and Technology. After the flight, the minister declared that the government would cover research and design expenses, and would immediately create a fund for research and development in science and technology.


Board of Education Honors Science Olympiad Students
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The Board of Education and central administrators honored the members of the High School West Science Olympiad team during the Feb. 25 board of education meeting.
The Science Olympiad team is comprised of 33 students that make up two teams of 15 with three alternates. The team is coached by Alyssa Marron and Catherine Abbott.
During their meetings, the students prepare for events for the regional competition. Some of these events include testing of knowledge in specific fields, inquiry labs (such as a chemistry titration) and building. This year's building event was for a gravity vehicle and a ping pong parachute. For these events, students must build within the criteria and constraints presented to them and test the performance of their project.
Some highlights from the regional competition include:
Ninth place school overall for the A team
10th place team overall for the A team
First place: Write It, Do It (Matt Supa and Vanessa Matthew)
Fourth place: Astronomy (Ivan Liu and Henna Chaudhry)
Sixth place: Experimental Design (Carolyn Qu, Sidney Padmanaban and Fiona Needham)
Sixth place: Designer Genes (Sidney and Fiona)
Ninth place: Write It, Do It (Sidney and Fiona)
Ninth place: Geological Mapping (Brett Carnival and Rehan Mian)
Ninth place: Code Busters (Carolyn, Maddie Raeihle and Fiona)


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is a small paper airplane developed as a more aerodynamic successor to the SkyOrion
paper airplane and as a faster alternative to the comparable Explorer
. With very sleek and sharp lines, even visually the StratoBolt appears to be a quick flier. In spite of its small, relatively stubby wings, the StratoBolt can fly surprising far.
The SkyOrion was designed and published prior to the introduction of features such as leading edge root extensions (LERX), and so it did not benefit or even take advantage of these advances. By November 2012, I decided that the SkyOrion had gone long enough without a successor, and so I began an effort to replace it with a better aircraft. This effort culminated in the StratoBolt.
The StratoBolt is quite versatile, and can be used by educators easily.
Some usages for educators could include studies of:
Hangtime versus other aircraft
Weight and balance
TAA USAF Designation: D265-1


Downgrade' so that the bool's zero value corresponds to that most
 // typical case.
 Downgrade bool
 // Trace controls whether the solver will generate informative trace output
 // as it moves through the solving process.
 Trace bool
 // TraceLogger is the logger to use for generating trace output. If Trace is
 // true but no logger is provided, solving will result in an error.
 TraceLogger *log.Logger
}
SolveParameters hold all arguments to a solver run.
Only RootDir and RootPackageTree are absolutely required. A nil Manifest is allowed, though it usually makes little sense.
Of these properties, only the Manifest and RootPackageTree are (directly) incorporated in memoization hashing.
type Solver
type Solver interface {
 // HashInputs hashes the unique inputs to this solver, returning the hash
 // digest. It is guaranteed that, if the resulting digest is equal to the
 // digest returned from a previous Solution.InputHash(), that that Solution
 // is valid for this Solver's inputs.
 //
 // In such a case, it may not be necessary to run Solve() at all.
 HashInputs() []byte
 // Solve initiates a solving run. It will either complete successfully with
 // a Solution, or fail with an informative error.
 Solve() (Solution, error)
}
A Solver is the main workhorse of gps: given a set of project inputs, it performs a constraint solving analysis to develop a complete Solution, or else fail with an informative error.
If a Solution is found, an implementing tool may persist it - typically into a "lock file" - and/or use it to write out a directory tree of dependencies, suitable to be a vendor directory, via CreateVendorTree.
func Prepare
func Prepare(params SolveParameters, sm SourceManager) (Solver, error)
Prepare readies a Solver for use.
This function reads and validates the provided SolveParameters. If a problem with the inputs is detected, an error is returned. Otherwise, a Solver is returned, ready to hash and check inputs or perform a solving run.
type SourceManager
type SourceManager interface {
 // SourceExists checks if a repository exists, either upstream or in the
 // SourceManager's central repository cache.
 SourceExists(ProjectIdentifier) (bool, error)
 // SyncSourceFor will attempt to bring all local information about a source
 // fully up to date.
 SyncSourceFor(ProjectIdentifier) error
 // ListVersions retrieves a list of the available versions for a given
 // repository name.
 // TODO convert to []PairedVersion
 ListVersions(ProjectIdentifier) ([]PairedVersion, error)
 // RevisionPresentIn indicates whether the provided Version is present in
 // the given repository.
 RevisionPresentIn(ProjectIdentifier, Revision) (bool, error)
 // ListPackages parses the tree of the Go packages at or below root of the
 // provided ProjectIdentifier, at the provided version.
 ListPackages(ProjectIdentifier, Version) (pkgtree.PackageTree, error)
 // GetManifestAndLock returns manifest and lock information for the provided
 // root import path.
 //
 // gps currently requires that projects be rooted at their repository root,
 // necessitating that the ProjectIdentifier's ProjectRoot must also be a
 // repository root.
 GetManifestAndLock(ProjectIdentifier, Version, ProjectAnalyzer) (Manifest, Lock, error)
 // ExportProject writes out the tree of the provided import path, at the
 // provided version, to the provided directory.
 ExportProject(ProjectIdentifier, Version, string) error
 // DeduceRootProject takes an import path and deduces the corresponding
 // project/source root.
 DeduceProjectRoot(ip string) (ProjectRoot, error)
 // Release lets go of any locks held by the SourceManager. Once called, it is
 // no longer safe to call methods against it; all method calls will
 // immediately result in errors.
 Release()
}
A SourceManager is responsible for retrieving, managing, and interrogating source repositories. Its primary purpose is to serve the needs of a Solver, but it is handy for other purposes, as well.
gps's built-in SourceManager, SourceMgr, is intended to be generic and sufficient for any purpose. It provides some additional semantics around the methods defined here.
type SourceMgr
type SourceMgr struct {
 // contains filtered or unexported fields
}
SourceMgr is the default SourceManager for gps.
There's no (planned) reason why it would need to be reimplemented by other tools; control via dependency injection is intended to be sufficient.
func NewSourceManager
func NewSourceManager(cachedir string) (*SourceMgr, error)
NewSourceManager produces an instance of gps's built-in SourceManager. It takes a cache directory, where local instances of upstream sources are stored.
The returned SourceManager aggressively caches information wherever possible. If tools need to do preliminary work involving upstream repository analysis prior to invoking a solve run, it is recommended that they create this SourceManager as early as possible and use it to their ends. That way, the solver can benefit from any caches that may have already been warmed.
gps's SourceManager is intended to be threadsafe (if it's not, please file a bug!). It should be safe to reuse across concurrent solving runs, even on unrelated projects.
func (*SourceMgr) DeduceProjectRoot
func (sm *SourceMgr) DeduceProjectRoot(ip string) (ProjectRoot, error)
DeduceProjectRoot takes an import path and deduces the corresponding project/source root.
Note that some import paths may require network activity to correctly determine the root of the path, such as, but not limited to, vanity import paths. (A special exception is written for gopkg.in to minimize network activity, as its behavior is well-structured)
func (*SourceMgr) ExportProject
func (sm *SourceMgr) ExportProject(id ProjectIdentifier, v Version, to string) error
ExportProject writes out the tree of the provided ProjectIdentifier's ProjectRoot, at the provided version, to the provided directory.
func (*SourceMgr) GetManifestAndLock
func (sm *SourceMgr) GetManifestAndLock(id ProjectIdentifier, v Version, an ProjectAnalyzer) (Manifest, Lock, error)
GetManifestAndLock returns manifest and lock information for the provided ProjectIdentifier, at the provided Version. The work of producing the manifest and lock is delegated to the provided ProjectAnalyzer's DeriveManifestAndLock() method.
func (*SourceMgr) HandleSignals
func (sm *SourceMgr) HandleSignals(sigch chan os.Signal)
HandleSignals sets up logic to handle incoming signals with the goal of shutting down the SourceMgr safely.
Calling code must provide the signal channel, and is responsible for calling signal.Notify() on that channel.
Successive calls to HandleSignals() will deregister the previous handler and set up a new one. It is not recommended that the same channel be passed multiple times to this method.
SetUpSigHandling() will set up a handler that is appropriate for most use cases.
func (*SourceMgr) ListPackages
func (sm *SourceMgr) ListPackages(id ProjectIdentifier, v Version) (pkgtree.PackageTree, error)
ListPackages parses the tree of the Go packages at and below the ProjectRoot of the given ProjectIdentifier, at the given version.
func (*SourceMgr) ListVersions
func (sm *SourceMgr) ListVersions(id ProjectIdentifier) ([]PairedVersion, error)
ListVersions retrieves a list of the available versions for a given repository name.
The list is not sorted; while it may be returned in the order that the underlying VCS reports version information, no guarantee is made. It is expected that the caller either not care about order, or sort the result themselves.
This list is always retrieved from upstream on the first call. Subsequent calls will return a cached version of the first call's results. if upstream is not accessible (network outage, access issues, or the resource actually went away), an error will be returned.
func (*SourceMgr) Release
func (sm *SourceMgr) Release()
Release lets go of any locks held by the SourceManager. Once called, it is no longer safe to call methods against it; all method calls will immediately result in errors.
func (*SourceMgr) RevisionPresentIn
func (sm *SourceMgr) RevisionPresentIn(id ProjectIdenti


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The government of Japan announced its decision to award Edwin A. Cranston, professor of Japanese literature, the decoration of the Order of the Rising Sun, Gold Rays with Neck Ribbon, on April 29. Cranston is recognized for his contribution in introducing classical Japanese literature to the people of the United States and other parts of the world, and in nurturing many young Japanologists.
Cranston has dedicated himself as an instructor in Japanese language and literature at Harvard for 44 years. He became an assistant professor as a specialist of Japanese literature in 1966, becoming a full professor in 1972.
Cranston has translated the Japanese waka, a 31-syllable poem, from the ancient period to the medieval period, and has introduced waka internationally with his detailed footnotes and commentary. His two volumes of "A Waka Anthology" (1993, 2006) have brought to light thousands of poems from ancient texts. Cranston's most recent book on Japanese poetry is titled "The Secret Island and the Enticing Flame" (2008).


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How to Create an Aerial Panorama from Google Earth
Peter Murphy (one of the leading lights in the panoramic world) sent us a email on Monday with the thought of creating panoramas from a Digital Earth. The concept is simple - grab a series of screen shots while rotating above the earth and then stitch the images as if they were normal photographs.
A day is a long time in Internet based tutorials and this is now an update of the original as a result of Gaby, a digital urban reader, writing a kmz tool to dramatically simplify the process of capturing screen shots. The whole process should take approximately 40 minutes.
The first step is to go to Gabys Kmz Panorama Capture Tool and type in the Lat/Long of the location you want to capture - in our case above the Millennium Dome in London.
To create panoramas it is important to rotate the camera around the nodal point of the lens in order to minimise any parallax error as the scene is captured. Previous to Gaby's tool the best way was to use the 'Flight Simulator Mode' by clicking 'Ctrl-G'. Combining this with a 'left mouse click and drag' action you can look around the scene and thus simulate a panoramic camera.
You can now simply load up the kmz file which is output from your Lat/Long co-ordinates and a series of placemarks are presented in the Google Earth, each representing camera locations. Select each placemark and wait for the streaming in Google Earth to reach 100%, now use File - 'Save Image' and call your image image1.jpg. Go through this for each placemark and you should end up with 28 images, each saved in sequence - ie image 1.jpg to image 29.jpg.
Once you have your numbered screengrabs you now need to stitch them, we used Stitcher from RealViz, you can download a trial version from the RealViz website. If you are a PTGui user we have created a Template to automatically stitch your images. Download the Template and follow these steps:
1) Open PTGui and click Select Source Images - Navigate to where you saved your screengrabs and select all of them.
2) A Camera Lens Dialoge will appear, simply click 'Cancel'. Your images will then load into PTGui.
3) Click File 'Apply Template' and select the location of the GoogleEarthTemplate.pts saved from above.
Your images will now automatically align, you can now complete the process by selecting the 'Advanced' button in the top right hand side of PTGui and then 'Create Panorama'. Save your panorama as a Tif, we normally output at 6000x3000 pixels. Advanced users of PTGui can add their own Control Points and stitch as normal, lens parameters should be 30mm Rectilinear.
To stitch the images you can also use the AutoStitch feature of RealViz to simply load in the images and automatically create a panorama. It should be noted that the curve of the earth will not stitch perfectly due to parallax error resulting from the Flight Simulator mode of Google Earth, the image left illustrates this (click for a larger version).
Fixing the parallax's error is simply a case of slightly cropping off the top of the resulting panorama to give us the image as below, this applies to both PTGui and Realviz Stitcher outputs:
As Google Earth doesn't include clouds we can now add them in as a new layer in photoshop. We used a panoramic image of clouds from TurboSquid, these used to be free but are now $5 each. If you don't have a cloud panorama then you can always create your own using Terragen, there is a great tutorial on how to do this here.
Adding the clouds gives you the final panorama over London (click for a larger view) :
Changing the projection of the resulting image allows a number of views such a hyperbolic image of London from Google Earth:
Finally to create a Quicktime Virtual Reality scene from the image - so you can look around the panorama - download Pano2QTVR.
The resulting QTVR can be viewed here (2.8Mb).
Of note in the final scene is how the Google copyright crops up in various places in the image. This is due to each screengrab containing the Google overlay and depending on the overlaps some are automatically blended out in RealViz and some remain... *update - using PTGui all copyright seems to be removed, this opens up the question on the legality of creating panoramas? *
Peter has used NASA's Worldwind to the same effect, see here for his panorama of the Southern Highlands (Quicktime format).
If you create any panoramas using Google Earth we would love to hear from you...
Panoramas submitted so far cover
London, New York, Moscow, Belgium, Paris and Sydney.


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OBJECTIVES: The Transtheoretical Model of behavior change (TTM) postulates that behavior change is a process involving progress through five distinct stages of change (SOC). One of the key components for progress to a later stage is decisional balance (pros and cons of changing to the target behavior). The goal of the present study is to test the two dimensions of decisional balance as postulated in the TTM in the context of exercising behavior.
METHODS: The analyses are based on data from an online survey of 266 freshman students at the University of Zurich; participants self-reported their frequency of exercising and their weighing of the importance of 49 pros and cons of exercising.
RESULTS: The results indicate that a two-dimensional solution of decisional balance is insufficient. The analysis of pros and cons of exercising yielded a seven-factor solution with in part different progressions through the SOC.
CONCLUSIONS: With the subdivision into different pros and cons, intervention programs can be developed that better match the needs of participants in terms of fostering and decreasing the most important pros and cons of exercising.


text: Accurately predicting the possible behaviors of traffic participants is an essential capability for future autonomous vehicles. The majority of current researches fix the number of driving intentions by considering only a specific scenario. However, distinct driving environments usually contain various possible driving maneuvers. Therefore, a intention prediction method that can adapt to different traffic scenarios is needed. To further improve the overall vehicle prediction performance, motion information is usually incorporated with classified intentions. As suggested in some literature, the methods that directly predict possible goal locations can achieve better performance for long-term motion prediction than other approaches due to their automatic incorporation of environment constraints. Moreover, by obtaining the temporal information of the predicted destinations, the optimal trajectories for predicted vehicles as well as the desirable path for ego autonomous vehicle could be easily generated. In this paper, we propose a Semantic-based Intention and Motion Prediction (SIMP) method, which can be adapted to any driving scenarios by using semantic-defined vehicle behaviors. It utilizes a probabilistic framework based on deep neural network to estimate the intentions, final locations, and the corresponding time information for surrounding vehicles. An exemplar real-world scenario was used to implement and examine the proposed method.


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Transplant nurses are specially trained to provide nursing care and support for patients before, during and after they receive an organ transplant. They also provide necessary care to living organ donors.
The Clinical Transplant Nurse (CTN) maintains patient records, both donor and recipient, administer medication, and monitor patients for signs of organ rejection. They prepare patients for transplantation and administer the essential medications.
Pre-Transplant: Clinical Transplant Nurse cares for the patient awaiting organ transplantation
Perioperative: The CTN performs perioperative tests as directed and provides patient education regarding the transplant process.
Post-Transplant: The CTN demonstrates knowledge of post-transplant management, including tests, medications, complications and discharge procedures.
Living Donation: The CTN cares for the living donor for the evaluation and live organ donation.
The average annual salary for transplant nurses is $62,000; average annual transplant nurse salaries vary by location, employer, education, experience, and benefits.
Specialized training is required to perform your best as a transplant nurse. Many employers also require some type of transplant nurse certification. The American Board for Transplant Certification offers several certification programs such as Certified Clinical Transplant Coordinator (CCTC) and Certified Clinical Transplant Nurse (CCTN).


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Te Papa Research Fellow Patrick Brownsey was recently contacted about a population near Levin of the very rare Ophioglossum petiolatum.
Ophioglossum are odd looking ferns, as befits a common name of "adder's tongue ferns". We don't have a picture of O. petiolatum (stalked adder's tongue fern), but the related O. coriaceum is similar; O. petiolatum has a rounder leaf and a longer fertile spike than shown in the drawing below.
Ophioglossum petiolatum has a Nationally Critical conservation status in New Zealand. More details and photos from the Plant Conservation Network.
Pat saw the Hokio population about 30 years ago, and wrote an article about it. A local landowner wanted to know if the population still persisted. Primary Science Teacher Fellow Wendy Hogg and I joined Pat for the hunt, but we were unsuccessful. The area is much changed, and it seems unlikely (but not impossible) that O. petiolatum survives near Levin. 1985 article about Ophioglossum petiolatum at Hokio (2.3 MB pdf).
However, we did find the unusual, floating liverwort Ricciocarpos natans. Although only a centimetre or two across, it is very distinctive. It has a Nationally Endangered conservation status, but it is probably under-collected, and may be more common than appreciated. Please look out for it amongst the "duckweed" on your local ponds!


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Date of this Version
Published in Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 11:3 (2014), pp. 227–232; doi: 10.1177/1548512914525516
In the effort to provide electrical power service and the sustaining fuel required to run generators at forward-deployed bases in Afghanistan and Iraq over more than 10 years, the US military spent billions of dollars and a paid a heavy toll in terms of human casualties. The green energy linear program for optimizing deployments (GELPOD) proof-of-concept model showed that a linear program could be used to optimize combat deployment of energy generation systems to minimize cost and casualties. Results indicated that reduction in both cost and casualties for renewable energy sources was highly dependent on fuel cost and deployment length. Neglected in the decision making process, however, were factors that impact the operational success of the mission. When deploying combat units, commanders must not only consider potential costs and casualties, they must also contend with battlefield mobility requirements, maintenance capability (or lack thereof), weather, and anticipated hostile action that could affect operational performance. This paper leverages the simple multi-attribute rating technique (SMART), pioneered by Edwards, to attempt to address this deficiency. The resulting simple multi-attribute rating technique for renewable energy deployment decisions (SMART REDD) model allows commanders to take mission attributes into consideration when making decisions on which energy source is most appropriate for the mission as well as providing information on operations costs, expected transportation requirements, and expected casualties.
Computational Engineering Commons, Computer Engineering Commons, Electrical and Computer Engineering Commons, Engineering Science and Materials Commons, Materials Science and Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons


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About Low Pressure Sewer (LPS) Systems
Consistent with the approach taken in other communities (listed below) with similar population density and land usage, the RM of Stanley sewer project will be a low-pressure sewer.
This is a type of sewer where the effluent (liquids) are pumped from your septic tank directly into a wastewater pipeline, eliminating the need for a septic field. A low pressure sewer requires septic tank and pump to be maintained by property owner. (Click Image to the Right for Larger View
Why a Low Pressure Sewer System is right for the RM
- Low-pressure sewer systems are common in municipalities where there is less housing density and properties are larger than in most cities and towns, water tables are high and where sewer is being installed within existing developed communities.
- Low pressure systems are the most affordable for property owners when servicing a lower-density area.
- Low pressure sewer systems are typically one-third the cost of a gravity system. Low pressure system pipes can be installed using a tunneling method that requires minimal excavation and is less disruptive to roads, utilities, trees and landscaping than gravity sewer systems typically found in urban areas.
RM of Headingley
RM of Rhineland
RM of Macdonald
RM of Portage
RM of St. Clements
RM of St. Andrews
Low Pressure Sewer Systems vs. Gravity Sewer Systems
For more information on Low Pressure Sewer Systems vs. Gravity Sewer Systems, click here.


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High-Powered Blending FAQ
Here are some of the top Frequently Asked Questions about High Powered Blending. If you have a question not listed here, please contact us.
- What is the difference between a high-powered blender and a regular blender?
Technically a high-power blender has more power and speed to rotate its blade compared to other blender appliances. Most household blenders are typically 500 to 750 watts, anything greater could be referred to as high powered. However, most blenders that are marketed as high-powered blenders, have power specifications more than 1000 watts, and higher values are marketed as better with more capabilities than an ordinary blender.
Examples of premium high-powered / high-speed blender models
- Blendtec Blenders: Motor: 1560 to 1800 watts
- Vitamix Ascent Series: Motor: 1440 watts
- Ninja Professional, Motor: 1100-Watts.
- How does a high-powered blending benefit me?
The higher power and RPMs make blending Easier, Faster, and can blend more types of challenging blend ingredients than an average powered kitchen blender or immersion blender. The higher power and speed enable doing blend tasks that are simply too difficult or impossible for lower powered blending equipment. For example, one of the most challenging ingredients for a blender to do is ice, frozen fruit & vegetables. These ingredients are common to making the most popular blended food: SMOOTHIES! Bottom line, if you want to make smoothies and or other challenging ingredient blends and it is important to have it done well (smooth), with ease and efficiency, then you will appreciate the difference and experience you'd get with high powered blending.
- Why is high powered blending easier?
It is easier, because there is less need for food prep time and strategizing how to make it lower power / lower speed blender friendly. Consider for example a lowered powered blender with a task to blend the challenging ingredients in a collard green smoothie with some frozen mango, banana and berries. To attempt this, you may need to cut ingredients like the frozen mango cubes into smaller pieces, cut the frozen banana small slices and dice your collard greens, to help it blend and /or modify the recipe by adding more liquid as well. All this prepping adds up to less ease and more work to get the blend done.
- Why is high powered blending faster?
It is faster, for two reasons.
- Reason One: Less time required to prepare foods for blending. I know we just covered this with ease, but it applies to the fastness as well. With a high-powered blender, ingredients can be put in larger and often whole (skin, seeds and all if you like) with much less food prep time.
- Reason Two: The high-powered motor can rotate its blade in tougher blends, and at a faster rotation, also referred to as: Rotations Per Minute (RPM). This means it gets the blending work done faster.
- What does a high-powered blender do that your average blender cannot?
Typically, a high-powered blender is a premium product and will be designed with better quality materials, technology, features, functions as well as blade and blending jar that are superior to the lesser powered / lower speed types. These other components of the blender play a part in overall performance. However just from the perspective of the higher power and higher speed technical specification, it can blend more challenging ingredients and recipes.
Consider the following examples.
- Blend Hot Soups without a stove – High power + high speed = hot smooth blends like soups, sauces and gravies made right in the blender jar. No need to transfer to a stove top. Although preprogrammed buttons are not needed, some high powered / high speed blending models offer extra functionality such as preprogrammed cycles, which may include a soup blend cycle so that you can blend your hot soups while attending to other things in your kitchen. So, if your yearning to enjoy some fresh hot blender soup recipes, or other hot blends that you can make completely in your blender, a high-powered blending appliance may be a better choice for you.
- Blend Cold Frozen Treats in Seconds – With a high-powered blender you can make ice cream, fruit sorbet and other frozen recipes. Frozen ingredients are one of the most challenging ingredients that requires power to blend and speed to get it done fast. This means it gives you the option of a soft serve ice cream straight from your blender and you are not limited to the type that is made with less challenging ingredients, that is a liquid blend which must be transferred to your freezer for a few hours or so to set.
- Takes the role of other kitchen appliances by doing things like: Grind Coffee, Seeds and Spices, aswell as mill grains into flours, powders and more.
- Blends the extra thick and challenging smooth - There are tasks that require more power and speed to get the blend recipe done. If you want a blend done super fast and smooth and it has challenging ingredients, then high powered blending may be the only option, or at least if it is to be done well. Think extra thick blends like nut butters, humus, batters and dough or even just that smoothie bowl recipe loaded thick with tasty healthy goodness. Bottom line, if you want to be blending anything challenging, done better, smoother and faster, a high speed / high powered blender is the appliance of choice.
- Can I get a high-powered blender with glass jar?
No. Premium manufacturers of high speed / high power blender manufacturers like Blendtec and Vitamix, choose not to offer glass jar containers. And show no intention to offer it in the future. Instead both use a strong, light, poly material called Eastman Tritan copolyester – a clear, durable plastic. The safety of the blender jar material has been reviewed independently and approved safe by regulatory agencies such as: Health Canada, U.S. Food and Drug Administration, European Food Safety Authority, China's Ministry of Health and Japan's Hygienic Olefin and Styrene Plastics Association.
- What is the best high-powered blender for 2018?
The answer is it depends. Simply put, the best blender for you may not be the same as your friends or family. Why? This is because among the top premium quality brands and latest models there are differences in design, features, function, colour finish (to suit your kitchen and or personal style) and price that will make one more suitable for your needs and preferences.
- To quickly see top differences in design and realize what your preferences are, check out this Blender Buyers Guide.
- Also, if you seek only the best in the blender industry leaders are the Blendtec and Vitamix blenders.


Still have questions?
Contact support
Event Listeners
AnyChart charting library supports the possibility to handle Gantt Chart events. In this tutorial we will list all available events, explain when they are dispatched and what data is available in them. There is also some useful information about how to create an event handler and how to use the data coming from AnyGantt.
First, you need to create a listener to handle the specific event. In general Event Listeners Article you can find more information about creating these JavaScript functions.
Event Types
It is important to keep in mind that JavaScript Resource Gantt Chart and JavaScript Project Gantt Chart are almost identical in terms of data hierarchy.
So the information presented below applies to both chart types, except some details. These are events available for Gantt Chart:
Event Description
rowClick Dispatched when mouse click event happened.
rowDblClick Dispatched when mouse double click event happened.
rowMouseMove Dispatched when mouse move event happened.
rowMouseOver Dispatched when mouse over event happened.
rowMouseOut Dispatched when mouse out event happened.
rowMouseDown Dispatched when mouse down event happened.
rowMouseUp Dispatched when mouse up event happened.
rowSelect Dispatched when some row is selected.
rowCollapseExpand Dispatched when an item that contains other items expands or collapses.
All events return all available data about an active row.
To listen an event use the code below:
//choose an event type from table above:
chart.listen(anychart.enums.EventType.ROW_CLICK, function(event) {
var msg = event['item'].get('name');
if (event['period']) msg += '\nPeriod:'+ event['period']['id'];
return msg;
As you can see from the code above, it is possible to get any information about the item from the event - it contains some useful fields. Here is a list of supported types of information:
Event Field Description
.item It is a Data Item that displays the active row.
.hoveredIndex Contains an index of active row.
.period Contains an active period.
.periodIndex Contains an index of active period.
This sample with Project Gantt Chart demonstrates the usage of this feature. Click on a row to change the Chart title:
JsFiddle Playground
Default Events
When you click on a row or move the mouse over the row, there are some default actions take place.
Events are dispatched in the following order on every click:
 1. rowMouseDown
 2. rowMouseUp
 3. rowClick (which is the same as rowMouseDown + rowMouseUp)
 4. rowSelect
Event Type Default Behaviour
rowMouseUp Makes the row selected.
rowClick Makes the row selected (contains rowMouseUp).
rowDBlclick Collapse/expand items.
rowMouseMove Reports the hovered point state.
rowMouseOver Makes the row hovered.
rowMouseOut Unhovers the row.
Prevent Defaults
To prevent these events dispatching you can use the special method.preventDefault().
In this case these events won't be reported by the chart. Let's disable the default behaviour for the clicks. The sample below illustrates this idea.
chart.listen(anychart.enums.EventType.ROW_CLICK, function(e) {
JsFiddle Playground


Why does Mount Shasta get so much precipitation?
Why does Mount Shasta get so much precipitation?
This peat, which is about two feet deep, is underlain by stream deposit sands and gravel where it occurs. Mount Shasta on the east pushes moisture out of the air as it climbs and cools, and the Klamath Mountains' dip enables more rain to get interior, thus the city receives more precipitation than the semiarid region to the north. The average annual rainfall on Mount Shasta is 40 inches.
The city's location in a mountain valley causes its climate to be significantly different from that of the surrounding area. The altitude affects the amount of moisture in the air, with more precipitating before every high pressure system moves through. Cooler temperatures and increased precipitation occur because of the shadow of Mount Shasta during most months of the year. The winter season is relatively short (about seven months long), while the summer season is very long (about four months).
Mount Shasta is located in California's northernmost Sierra Nevada range. It is part of Siskiyou County, which surrounds the city on three sides. To the south is the town of McCloud, near the border with Yolo County. Due south is the city of Redding, the county seat of Shasta County. To the west is the city of Chico and to the northeast is the city of Talent. Interstate 5 runs north-south just outside the city limits, connecting Mount Shasta to the rest of California and the Pacific Ocean port of San Francisco.
How tall is the peak of Mt. Shasta?
Mt. Shasta, at 4,322 meters (14,180 feet) above sea level, is generally snowcapped all year. The photograph was shot in August of 2017, after much of the snowpack had melted. In comparison, the zoomed-in view of the mountain's summit below, taken in April 2018, shows a significantly larger snowfall on the mountain, with less rock visible. This indicates that the peak was probably between 5,000 and 6,000 feet high during winter.
Mt. Shasta is located in Northern California, near the Oregon border. The city of Dunedin is on the south side of the mountain, while McCloud is the closest town to the north side. According to the United States Geological Survey, the mountain is tall.
Mt. Shasta is part of a chain of fourteen major volcanoes in the Pacific Northwest. It was created when an enormous volume of lava flowed over the top of an already existing volcano. As this lava hardened into rock, it formed a new mountain range. Many parts of the mountain are covered in very old forest trees!
The image comes from a satellite that takes pictures of earth's surface features from space. NASA images are available online at no cost via their Earth Observatory website.
How hot does it get in Mount Shasta?
Summers at Mount Shasta are warm, dry, and mainly clear, whereas winters are lengthy, very cold, rainy, and partially overcast. Throughout the year, the temperature normally ranges from 28 degrees Fahrenheit to 85 degrees Fahrenheit, with temperatures seldom falling below 18 degrees Fahrenheit or rising over 93 degrees Fahrenheit. Rainfall is fairly constant throughout the year, averaging about 42 inches per year.
The peak season for visiting Mount Shasta is from mid-June to late August, when the weather is most likely to be comfortable and the views are best. During these months, the temperature rarely drops below 30 degrees Fahrenheit or rises above 100 degrees Fahrenheit.
The rest of the year is also good time to visit Mount Shasta, though winter storms can bring heavy snowfall and cold temperatures. Spring and fall see more moderate temperatures but less sunshine than in summer.
Be aware that because Mount Shasta is so high above sea level, there is a risk of heat exhaustion and heatstroke if you go hiking or running up its slopes. Take plenty of water with you, and try not to go too far without stopping to drink some.
If you experience any symptoms of heat illness such as feeling dizzy, having trouble breathing, or suffering from cramps, seek help immediately.
The best times to visit Mount Shasta are between April and October, when the weather is suitable for outdoor activities.
Is Mount Shasta always covered in snow?
Shasta. Mt. Shasta is a stratovolcano in the Cascade mountain range that receives over 500 inches of snow every season on average. When there is enough snow cover and a realistic possibility of high pressure and nice weather, Shasta is a strong bet. There will be ice on the ground during this time.
Mt. Shasta is one of the most active volcanoes in California. It has been recorded as having as many as 35 explosions per year for several hundred years before the recording of these events. The most recent explosion was in 2009! Although the number of explosions varies, the total energy released by all of the Mt. Shasta eruptions over time is enough to change the climate hundreds of miles away.
The current volume of lava flowing from the summit crater is about 70,000 gallons per minute. This is about the same rate as two modern oil wells pumping out at maximum capacity. The eruption is expected to continue for several more months until all of the lava has been ejected from the volcano.
In case you were wondering, no, Mount Shasta is not always covered in snow. In fact, the last time this happened was in 2006 when much of Northern California was suffering through a severe drought.
Does Mount Shasta always have snow?
Underneath all the snow on a Cascade mountain is an unstable rock surface. This means that there is a good chance that one day something might trigger an avalanche.
There are two types of avalanches: controlled and natural. Natural avalanches are triggered by gravity and happen when too much weight is placed on steep terrain with little or no support. Controlled avalanches are usually caused by people who place material on steep slopes as safety precautions or as part of a ski resort's business plan. These people are called "avalanche professionals" or "aviation professionals." They use special equipment to prevent their slides from becoming natural disasters.
When you visit Shasta, don't worry about natural hazards. The mountain is very stable and doesn't usually experience natural disasters. But due to its location, it does get hit with heavy rain and wind from time to time. This is why the area around Shasta gets flooded when it rains heavily and why the skies above the mountain can look ominous on windy days.
People have been living near Shasta for many years now and know how to take care of themselves if there's an emergency.
Do the highlands get more rainfall?
Because the temperature on top of mountains is lower than the temperature at sea level, they receive more rainfall than low-lying locations. Winds transport wet air over the terrain. Because the mountains are in the way, air rises as it reaches them. The higher the elevation above sea level, the colder the environment. This means that water vapor in the air will freeze when it reaches its maximum concentration. Thus, most precipitation on mountaintops comes in the form of snow.
The amount of precipitation on mountains varies depending on several factors such as their height and shape. However, generally, higher peaks tend to receive more rain and snow than lower ones. A mountain's proximity to a body of water also plays a role: areas near oceans or large lakes typically see more precipitation than those far away from any water source.
Mountains can have a great influence on the climate of a region. They can trap heat during the day and release it at night when the land is covered with ice or snow. This is why you often find hot summers and cold winters on mountainous lands. Also, clouds can form because of differences in temperature between land and water, causing rain to fall as snow or fog on peaks and deserts where there is no water around to melt it.
Overall, mountains can be a source of water for crops and people, but they can also cause problems by trapping heat and creating drought-like conditions in certain parts of the world.
About Article Author
David Elliott
David Elliott is a nature enthusiast and environmentalist. He loves all things nature-related, from animals to plants. David has a degree in environmental science, which gives him a unique perspective of the world around him.
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Eltiste-Kaiser Web Site
Bohling Family ~Coat of Arms
Wilhelmine Emile Elizabeth (Eltiste) Bohling
Spelling variations include: Boel, Boell, Boeler, Boelert, Bohlen, Bohllen, Boehlen, Boehl, Boehler, Boehlert, Boehling, Boehllen, Bolen, Boelen, Boelens, Boellner, Boellsch, Bollen, Boellen, Bohl, Bole, Bohlens, Bolin, Bohlin, Bohll, Bohell and many more.
First found in Mecklenburg, where chronicles first mention Bole von Malchow of Rostock in Mecklenburg in the year 1298.
Some of the first settlers of this name or some of its variants were: Sego
Boell, who arrived in Virginia in 1654; Martin Boeler who was recorded as having
arrived in Pennsylvania in 1751; Conrad Bohl, who arrived in Philadelphia in
Bohling is the 22,445th Most Popular Name in the United States
Home Kaiser Eltiste Fink Rohrs
Thumbnail Family Photo Gallery Index
Last Up-Date 11/26/2010 10:58:30 PM


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Drivers who turn on their high-beam headlights during heavy snowfall quickly learn what the term "blinding snowstorm" really means. Light bounces off the flakes and returns to the driver's eye, ruining forward vision. Now, however, researchers at Carnegie Mellon University's (CMU) Robotics Institute believe they've found a solution to that problem. By combining projector-type headlights with camera-based sensors, they believe they can direct light between snowflakes or raindrops, reducing the reflection that temporarily blinds the driver.
"We can illuminate the space around the particles," Srinivasa Narasimhan, associate professor of robotics at CMU, told us. "And we can do it because we now have a way to control light over space and time."
Carnegie Mellon University created a smart headlight system that directs light between rain drops or snowflakes.
CMU's development relies on automakers to go beyond traditional headlights, to light sources such as light-emitting diodes (LEDs), liquid crystal displays (LCDs), or Digital Light Processing (DLP). By combining one of those light sources with camera-based sensors and a microprocessor, CMU researchers have proven that they can locate the offending droplets and turn off the light pixels that would otherwise scatter off them.
"For a long time, the automotive headlight has been a bulb with mirrors and lenses to process the beam," Narasimhan said. "Here, we want to use a light projector instead of a bulb. That way, we have a million pixels that we can control."
The heart of the system is the powerful software developed at CMU, which recognizes the speeding precipitation droplet and turns off the correct pixel in response to it. The software -- along with the light source, sensor, and an Intel quad core i7 processor -- form an embedded system that that reads the sensor signal and orchestrates the on/off reaction at each pixel.
The key to the system's ability to do that is the co-location of the light projector and the camera. CMU employs a splitter to send out a beam of light and pick up the reflected light from the same pixel. It does all this -- captures the image, processes the data, and projects the light -- in a scant 13ms. Ultimately, the researchers want to reduce that time to about 2ms to 3 ms, which they said would enable the system to work in a raging thunderstorm on a car driving 60 mph. To bring the time down, they plan to incorporate the light source, sensor, and processor chip in a single embedded system. "What we need is tight integration between the LCD, camera, and embedded computer," Narasimhan said. "With everything tightly coupled, we can bring the time down by eight milliseconds."


YYMMDD(2-Digit) Year, Month, and Day
References in periodicals archive?
YYMMDD HHMMSS ;' where, is a string of characters not exceeding the current line length, YYMMDD is a valid future date, HH ranges from 00 to 23, MM ranges from 00 to 59, and SS ranges from 00 to 59.
The challenge was that programs and databases store calendar dates in six byte YYMMDD format.
The data had to be pared down as much as possible; therefore, date entries are typically stored in the MMDDYY or YYMMDD format.


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Clinton Lk Nr Lawrence
June 6 2023
878 ft-0.03% today
100% of Normal • Normal
Water lake or reservoir water surface elevation above ngvd 1929, ft levels at Clinton Lk Nr Lawrence are currently 878 ft, about 100% of normal. The average for this time of year is approximately 878.7ft.
Maximum recorded Lake or reservoir water surface elevation above NGVD 1929, ft since record keeping began in 2007 was 2019-06-29 when levels reached 897.05 ft. Lowest recorded Lake or reservoir water surface elevation above NGVD 1929, ft was 2014-04-12 when levels receded to 871.04 ft.
Clinton Lake is a reservoir situated in the northeast of Lawrence, Kansas. The construction of the lake began in 1963 and was completed in 1977. Clinton Lake provides water supply for the City of Lawrence and also has recreational facilities. The lake has a catchment area of 161 square miles and the hydrology is mainly affected by rainfall and snowmelt. There are four main tributaries that provide surface flow to the lake, including Camp Creek, Rock Creek, Washington Creek, and Wakarusa River. Snowpack is also an important source of water for the lake. The lake is also used for agricultural purposes, including irrigation, and recreational activities, such as fishing, boating, and camping.
|Lake Or Reservoir Water Surface Elevation Above Ngvd 1929, Ft 24hr Change||-0.03%|
|Percent of Normal||100%|


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(September 2, 2015)–Pittsburgh has seen its fair share of mandated wage proposals over the years from the minimum wage to the prevailing wage and even the living wage. Then too, the City recently enacted a mandated sick leave law that is a form of coerced compensation. To date there has been no "family wage" proposed, but perhaps that could be coming soon.
It's an idea that will be voted on in Spokane, Washington in a referendum this November. The basic premise is that employees should earn enough money to support their family's "basic needs and a limited ability to deal with future emergencies without the need of public assistance." Of course like all mandated wage proposals, this has all the trappings of feel good rhetoric without a hint of economic understanding.
The definition of family wage from the petition is as follows: "Family wage means a wage that provides for basic needs and a limited ability to deal with future emergencies without the need for public assistance. The City of Spokane shall calculate the family wage to include, but not limited to, basic necessities such as food, housing, utilities, transportation, health care, childcare, clothing, and other personal items, emergency savings, and taxes. The City shall calculate the family wage rate based on a household size of two with one person employed and the family wage rate shall not be less than the Self-Sufficiency Standard for Washington State 2014, as adjusted for inflation….. If the City of Spokane does not calculate a family wage, then eligible employers must provide, at minimum, a wage equal to the higher of either (1) three times the federal poverty guidelines for a family of two, or (2) any family wage rate previously calculated by the City of Spokane."
There are a couple of points about the Spokane petition worth mentioning. First, the provisions of the petition require any employer with more than 150 employees to pay the "family wage". This would essentially put into law that corporate and employer rights are subordinate to employee rights.
Secondly, the City is being forced by the courts to place it before the voters via referendum after 2,600 people signed a petition. It is not known, nor has been tested in court, as to whether the provisions of the petition conform to either the Washington State Constitution or its laws. Furthermore, the petition contains language that presumes to take away the right of affected businesses to challenge any part of the new law in court. Nor could employers assert any state or Federal laws that would overturn the restriction on their rights. It is outrageous that any legislation would contain a provision barring it from being challenged in a court of law. That alone should be enough for a dismissal.
Since there has not been a calculation of "family wage" by the City of Spokane, let's look at the Federal poverty level for a family of two in 2015—$15,930. Multiplying this by three, as required in the language above, sets the "family wage" at $47,790. The Self-Sufficiency Standard for Washington State (2014) for a family of two, one employed, is $44,806—adjusting for inflation raises that amount to at least $46,600. Note that the average of all workers in the Spokane metro area was only $43,000 in 2013. In fact many jobs at large organizations in Spokane are low paying with annual wages well below this level in the range of $25,000 to $35,000. Health occupations below registered nurse, many factory jobs, general office assistants, the hospitality industry, and low level management typically earn significantly less than $47,000.
Of course the intent is to force employers to pay enough so families would no longer need to collect public assistance. But how can a company afford to pay a low skilled worker, currently worth only $28,000 to them, $47,000 a year? Economic principles in a competitive market place will compel employers to pay wages commensurate with the value of the workers' productivity. When a company is forced to pay more than an employee is worth in terms of their production value, they must either pass on the higher costs in their prices, try to improve productivity, severely reduce all other benefits, or cut back on the amount of labor used—possibly all three. With the amount of increase the "family wage" law would entail, there is a little chance that productivity or prices can be raised enough or benefits cut enough to offset the higher wage costs, making reduction in the number of workers the only viable option.
Then the question arises: What will be the reaction of those skilled workers with experience and high productivity already earning at or above the family wage? Certainly they will push hard for a substantial raise to maintain workplace salaries that recognize differences in worker value. There might well be cuts to their benefits or hours to help pay for the big increase for the workers that were well below the family wage. And the workplace would become far less amiable. Many would undoubtedly leave absent some sizable pay raise.
All of this will conspire to raise labor costs at these firms. If they cannot pass those costs onto their customers through price increases, they may be forced to lay off enough people to keep those costs down, or in the extreme, close their doors. Either way there will be layoffs of mostly unskilled workers and a larger burden on public assistance.
The arbitrary cutoff of 150 employees will create its own problems. How do we know that a company with 180 employees, many of them low skilled, such as hotel or social service agencies, large department stores, etc. is better able to pay $47,000 for a low skill worker than a company with 140 workers? At market rates, the smaller company might be paying only $30,000 for the same job. It will give the smaller firms a competitive advantage in the market place and motivate larger firms to reduce their employee count to less than 150 through layoffs—again putting more people on social assistance rolls. Who is being served in this case?
It is not clear what governments that are affected by the law but who cannot dramatically reduce services, will do to cover the additional costs of the wage mandate. Higher taxes are almost a certainty. Will the citizens of Spokane consider the prospect of higher taxes as they are tempted to vote for this anti-business, feel good petition? What will hospitals do? They will have to raise prices substantially or see red ink flow in torrents. As a last resort they could slash services and lay off workers. Are voters willing to put up with lower quality and less available health care? Do Spokane residents believe state or Federal taxpayers will stand ready to bail them out of the mess they are about to make? That might be a poor bet.
This proposal is preposterous on its face. Forcing firms to pay the "family wage" will cause more problems than the backers realize. Presumably, the prospect of socking it to evil employers is reward enough for them. Consequences are apparently of secondary importance. As is the case with virtually every statist, anti-free market effort to replace market forces with government dictates, the results will be awful for workers and taxpayers. It will cause layoffs for those who can least afford it and cut off the bottom rung of the economic ladder for the low skilled, inexperienced people looking to enter the workforce.
We hope this ludicrous idea will go down in flames in the November vote in Spokane. If it does not the concept will undoubtedly spread and Pittsburgh will likely be targeted by the same groups pushing the Spokane referendum. Just recently, we were treated to a report from a left leaning group telling us that a Pittsburgh family of four needs $67,200 per year to maintain a modest life style. What the authors forgot to mention was that the median family income in Pittsburgh is only $53,800. That means a huge number of families would need a whopping raise if $67,000 was set by law as the minimum. Even the more modest $47,000 "family wage" in the Spokane scheme would be disastrous.
The country has enough problems without more self- inflicted economic wounds created by more laws dictating the wage levels.
Jake Haulk, Ph.D., President
Frank Gamrat, Ph.D., Senior Research Associate
If you wish to support our efforts please consider becoming a donor to the Allegheny Institute.The Allegheny Institute is a 501(c)(3) non-profit organization and all contributions are tax deductible.Please mail your contribution to:
The Allegheny Institute
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Link to Allegheny Institute Website
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the any generators of $N$. If we define $$\phi_h, h\in H$$ then it is clear that $\phi_h(n)\in N$. In fact, $\phi_h\in Aut(N)$. So there is for example $l$, $0\leq l\leq 16$ such that $$\phi_h(n)=n^l$$ Note that $H,N$ both are cyclic. Since we assume that $\phi_h$ for all $h\in H$ is an automorphism and $|N|=17$ then we should have $(l,17)=1$. In fact we define $$h^{-1}nh=n^l,\;\;0\leq l\leq 16,\;\;(l,17)=1$$ These are well defined relations for our desired $G$.
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Setting Up Symbol Server in Debugger
Debug symbols allow you to have better debugging sessions. They have information about the functions contained in executables and dynamic libraries and provide you with information to get clean call stacks. A Symbol Server allows the debugger to load the correct symbols, binaries and sources automatically without forcing users to download large debugging files. The server functions like Microsoft's symbol server so the documentation there can be useful.
Note that because released Electron builds are heavily optimized, debugging is not always easy. The debugger will not be able to show you the content of all variables and the execution path can seem strange because of inlining, tail calls, and other compiler optimizations. The only workaround is to build an unoptimized local build.
The official symbol server URL for Electron is You cannot visit this URL directly, you must add it to the symbol path of your debugging tool. In the examples below, a local cache directory is used to avoid repeatedly fetching the PDB from the server. Replace c:\code\symbols with an appropriate cache directory on your machine.
Using the Symbol Server in Windbg
The Windbg symbol path is configured with a string value delimited with asterisk characters. To use only the Electron symbol server, add the following entry to your symbol path (Note: you can replace c:\code\symbols with any writable directory on your computer, if you'd prefer a different location for downloaded symbols):
Set this string as _NT_SYMBOL_PATH in the environment, using the Windbg menus, or by typing the.sympath command. If you would like to get symbols from Microsoft's symbol server as well, you should list that first:
Using the symbol server in Visual Studio
Troubleshooting: Symbols will not load
Type the following commands in Windbg to print why symbols are not loading:
>!sym noisy
>.reload /f electron.exe
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It has been a while since I did a video, and I was feeling the itch! This week it's a short and sweet instructional on how to draw bubbles in water using Copic markers.
If you want to practice along, I used:
- Copic markers: BG10, BG34, B00, B02, G12, and later BG70
- Colorless Blender (any brand will work, using Copic Ciao 0 here)
- White Gelly Roll pen
To begin, create a watery background for the bubbles. I used a wash of BG10, with a mix of BG34, B00, B02, and G12 around the edges and faded in (BG34, B00, and B02 are the darkest colors near the bottom edges). I used BG70 instead of the colorless blender to smooth everything out and add just a hint more color.
To start the bubbles, use the colorless blender to draw a circle on the background color. Place the tip of the blender in the center of the circle to begin saturating the paper with the clear ink. This will push the other colors out of the way on the paper, pushing the watery colors to the edges of the circle. This creates an "edge" to the circle that forms the body of the bubble.
Create more bubbles in different sizes. To make very tiny bubbles, place the tip of the colorless blender on the paper without moving it, then lift it away. Allow the spot to dry, then repeat a few more times. This will gradually provide enough blender to create the bubble without it spreading and expanding too much.
Finally, using the white Gelly Roll, begin adding spots of light on the bubbles. Establish a light source; the surface of the bubble closest to the light source will have a crisp shine on it (I use dots, but you can have circular reflections, square reflections, etc. depending on what is creating the light in your image).
The light would then shine through the bubble and diffuse on the opposite interior wall of the bubble, so the next step is to create a diffused light along the bubble opposite of the crisp shine.
You can use your finger when the Gelly Roll marks are fresh to remove a little of the white if your bubbles are more toward the background or are more hidden.
And that's it! Easy bubbles! I love how these turn out, and I hope this method works for you, too!
Thanks for watching!