metadata
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- dense
- generated_from_trainer
- dataset_size:95253
- loss:MultipleNegativesRankingLoss
base_model: thenlper/gte-base
widget:
- source_sentence: Molecular phylogenetic resolution of the mega-diverse clade Apoditrysia
sentences:
- >-
In a previous study of higher-level arthropod phylogeny, analyses of
nucleotide sequences from 62 protein-coding nuclear genes for 80
panarthopod species yielded significantly higher bootstrap support for
selected nodes than did amino acids. This study investigates the cause
of that discrepancy. The hypothesis is tested that failure to
distinguish the serine residues encoded by two disjunct clusters of
codons (TCN, AGY) in amino acid analyses leads to this discrepancy. In
one test, the two clusters of serine codons (Ser1, Ser2) are
conceptually translated as separate amino acids. Analysis of the
resulting 21-amino-acid data matrix shows striking increases in
bootstrap support, in some cases matching that in nucleotide analyses.
In a second approach, nucleotide and 20-amino-acid data sets are
artificially altered through targeted deletions, modifications, and
replacements, revealing the pivotal contributions of distinct Ser1 and
Ser2 codons. We confirm that previous methods of coding nonsynonymous
nucleotide change are robust and computationally efficient by
introducing two new degeneracy coding methods. We demonstrate for
degeneracy coding that neither compositional heterogeneity at the level
of nucleotides nor codon usage bias between Ser1 and Ser2 clusters of
codons (or their separately coded amino acids) is a major source of
non-phylogenetic signal. The incongruity in support between amino-acid
and nucleotide analyses of the forementioned arthropod data set is
resolved by showing that "standard" 20-amino-acid analyses yield lower
node support specifically when serine provides crucial signal. Separate
coding of Ser1 and Ser2 residues yields support commensurate with that
found by degenerated nucleotides, without introducing phylogenetic
artifacts. While exclusion of all serine data leads to reduced support
for serine-sensitive nodes, these nodes are still recovered in the ML
topology, indicating that the enhanced signal from Ser1 and Ser2 is not
qualitatively different from that of the other amino acids.
- >-
Recent molecular phylogenetic studies of the insect order Lepidoptera
have robustly resolved family-level divergences within most
superfamilies, and most divergences among the relatively species-poor
early-arising superfamilies. In sharp contrast, relationships among the
superfamilies of more advanced moths and butterflies that comprise the
mega-diverse clade Apoditrysia (ca. 145,000 spp.) remain mostly poorly
supported. This uncertainty, in turn, limits our ability to discern the
origins, ages and evolutionary consequences of traits hypothesized to
promote the spectacular diversification of Apoditrysia. Low support
along the apoditrysian "backbone" probably reflects rapid
diversification. If so, it may be feasible to strengthen resolution by
radically increasing the gene sample, but case studies have been few. We
explored the potential of next-generation sequencing to conclusively
resolve apoditrysian relationships. We used transcriptome RNA-Seq to
generate 1579 putatively orthologous gene sequences across a broad
sample of 40 apoditrysians plus four outgroups, to which we added two
taxa from previously published data. Phylogenetic analysis of a
46-taxon, 741-gene matrix, resulting from a strict filter that
eliminated ortholog groups containing any apparent paralogs, yielded
dramatic overall increase in bootstrap support for deeper nodes within
Apoditrysia as compared to results from previous and concurrent 19-gene
analyses. High support was restricted mainly to the huge subclade
Obtectomera broadly defined, in which 11 of 12 nodes subtending multiple
superfamilies had bootstrap support of 100%. The strongly supported
nodes showed little conflict with groupings from previous studies, and
were little affected by changes in taxon sampling, suggesting that they
reflect true signal rather than artifacts of massive gene sampling. In
contrast, strong support was seen at only 2 of 11 deeper nodes among the
"lower", non-obtectomeran apoditrysians. These represent a much harder
phylogenetic problem, for which one path to resolution might include
further increase in gene sampling, together with improved orthology
assignments.
- >-
One of the major challenges in cell implantation therapies is to promote
integration of the microcirculation between the implanted cells and the
host. We used adipose-derived stromal vascular fraction (SVF) cells to
vascularize a human liver cell (HepG2) implant. We hypothesized that the
SVF cells would form a functional microcirculation via vascular assembly
and inosculation with the host vasculature. Initially, we assessed the
extent and character of neovasculatures formed by freshly isolated and
cultured SVF cells and found that freshly isolated cells have a higher
vascularization potential. Generation of a 3D implant containing fresh
SVF and HepG2 cells formed a tissue in which HepG2 cells were entwined
with a network of microvessels. Implanted HepG2 cells sequestered
labeled LDL delivered by systemic intravascular injection only in
SVF-vascularized implants demonstrating that SVF cell-derived
vasculatures can effectively integrate with host vessels and interface
with parenchymal cells to form a functional tissue mimic.
- source_sentence: Exosomes as drug delivery systems for gastrointestinal cancers
sentences:
- >-
Gastrointestinal cancer is one of the most common malignancies with
relatively high morbidity and mortality. Exosomes are nanosized
extracellular vesicles derived from most cells and widely distributed in
body fluids. They are natural endogenous nanocarriers with low
immunogenicity, high biocompatibility, and natural targeting, and can
transport lipids, proteins, DNA, and RNA. Exosomes contain DNA, RNA,
proteins, lipids, and other bioactive components, which can play a role
in information transmission and regulation of cellular physiological and
pathological processes during the progression of gastrointestinal
cancer. In this paper, the role of exosomes in gastrointestinal cancers
is briefly reviewed, with emphasis on the application of exosomes as
drug delivery systems for gastrointestinal cancers. Finally, the
challenges faced by exosome-based drug delivery systems are discussed.
- >-
Background In the myocardium, pericytes are often confused with other
interstitial cell types, such as fibroblasts. The lack of
well-characterized and specific tools for identification, lineage
tracing, and conditional targeting of myocardial pericytes has hampered
studies on their role in heart disease. In the current study, we
characterize and validate specific and reliable strategies for labeling
and targeting of cardiac pericytes. Methods and Results Using the
neuron-glial antigen 2 (NG2)
- >-
Exosomes are small extracellular vesicles with diameters of 30-150 nm.
In both physiological and pathological conditions, nearly all types of
cells can release exosomes, which play important roles in cell
communication and epigenetic regulation by transporting crucial protein
and genetic materials such as miRNA, mRNA, and DNA. Consequently,
exosome-based disease diagnosis and therapeutic methods have been
intensively investigated. However, as in any natural science field, the
in-depth investigation of exosomes relies heavily on technological
advances. Historically, the two main technical hindrances that have
restricted the basic and applied researches of exosomes include, first,
how to simplify the extraction and improve the yield of exosomes and,
second, how to effectively distinguish exosomes from other extracellular
vesicles, especially functional microvesicles. Over the past few
decades, although a standardized exosome isolation method has still not
become available, a number of techniques have been established through
exploration of the biochemical and physicochemical features of exosomes.
In this work, by comprehensively analyzing the progresses in exosome
separation strategies, we provide a panoramic view of current exosome
isolation techniques, providing perspectives toward the development of
novel approaches for high-efficient exosome isolation from various types
of biological matrices. In addition, from the perspective of
exosome-based diagnosis and therapeutics, we emphasize the issue of
quantitative exosome and microvesicle separation.
- source_sentence: >-
Comparison of pesticide active substances in conventional agriculture and
organic agriculture in Europe
sentences:
- >-
Total concentrations of metals in soil are poor predictors of toxicity.
In the last decade, considerable effort has been made to demonstrate how
metal toxicity is affected by the abiotic properties of soil. Here this
information is collated and shows how these data have been used in the
European Union for defining predicted-no-effect concentrations (PNECs)
of Cd, Cu, Co, Ni, Pb, and Zn in soil. Bioavailability models have been
calibrated using data from more than 500 new chronic toxicity tests in
soils amended with soluble metal salts, in experimentally aged soils,
and in field-contaminated soils. In general, soil pH was a good
predictor of metal solubility but a poor predictor of metal toxicity
across soils. Toxicity thresholds based on the free metal ion activity
were generally more variable than those expressed on total soil metal,
which can be explained, but not predicted, using the concept of the
biotic ligand model. The toxicity thresholds based on total soil metal
concentrations rise almost proportionally to the effective cation
exchange capacity of soil. Total soil metal concentrations yielding 10%
inhibition in freshly amended soils were up to 100-fold smaller (median
3.4-fold, n = 110 comparative tests) than those in corresponding aged
soils or field-contaminated soils. The change in isotopically
exchangeable metal in soil proved to be a conservative estimate of the
change in toxicity upon aging. The PNEC values for specific soil types
were calculated using this information. The corrections for aging and
for modifying effects of soil properties in metal-salt-amended soils are
shown to be the main factors by which PNEC values rise above the natural
background range.
- >-
There is much debate about whether the (mostly synthetic) pesticide
active substances (AS) in conventional agriculture have different
non-target effects than the natural AS in organic agriculture. We
evaluated the official EU pesticide database to compare 256 AS that may
only be used on conventional farmland with 134 AS that are permitted on
organic farmland. As a benchmark, we used (i) the hazard classifications
of the Globally Harmonized System (GHS), and (ii) the dietary and
occupational health-based guidance values, which were established in the
authorization procedure. Our comparison showed that 55% of the AS used
only in conventional agriculture contained health or environmental
hazard statements, but only 3% did of the AS authorized for organic
agriculture. Warnings about possible harm to the unborn child, suspected
carcinogenicity, or acute lethal effects were found in 16% of the AS
used in conventional agriculture, but none were found in organic
agriculture. Furthermore, the establishment of health-based guidance
values for dietary and non-dietary exposures were relevant by the
European authorities for 93% of conventional AS, but only for 7% of
organic AS. We, therefore, encourage policies and strategies to reduce
the use and risk of pesticides, and to strengthen organic farming in
order to protect biodiversity and maintain food security.
- >-
Herpes simplex virus 1 (HSV-1) encodes Us3 protein kinase, which is
critical for viral pathogenicity in both mouse peripheral sites (e.g.,
eyes and vaginas) and in the central nervous systems (CNS) of mice after
intracranial and peripheral inoculations, respectively. Whereas some Us3
substrates involved in Us3 pathogenicity in peripheral sites have been
reported, those involved in Us3 pathogenicity in the CNS remain to be
identified. We recently reported that Us3 phosphorylated HSV-1 dUTPase
(vdUTPase) at serine 187 (Ser-187) in infected cells, and this
phosphorylation promoted viral replication by regulating optimal
enzymatic activity of vdUTPase. In the present study, we show that the
replacement of vdUTPase Ser-187 by alanine (S187A) significantly reduced
viral replication and virulence in the CNS of mice following
intracranial inoculation and that the phosphomimetic substitution at
vdUTPase Ser-187 in part restored the wild-type viral replication and
virulence. Interestingly, the S187A mutation in vdUTPase had no effect
on viral replication and pathogenic effects in the eyes and vaginas of
mice after ocular and vaginal inoculation, respectively. Similarly, the
enzyme-dead mutation in vdUTPase significantly reduced viral replication
and virulence in the CNS of mice after intracranial inoculation, whereas
the mutation had no effect on viral replication and pathogenic effects
in the eyes and vaginas of mice after ocular and vaginal inoculation,
respectively. These observations suggested that vdUTPase was one of the
Us3 substrates responsible for Us3 pathogenicity in the CNS and that the
CNS-specific virulence of HSV-1 involved strict regulation of vdUTPase
activity by Us3 phosphorylation.
- source_sentence: >-
Load-dependent detachment and reattachment kinetics of kinesin-1, -2 and 3
motors
sentences:
- >-
Bidirectional cargo transport by kinesin and dynein is essential for
cell viability and defects are linked to neurodegenerative diseases.
Computational modeling suggests that the load-dependent off-rate is the
strongest determinant of which motor 'wins' a kinesin-dynein tug-of-war,
and optical tweezer experiments find that the load-dependent detachment
sensitivity of transport kinesins is kinesin-3 > kinesin-2 > kinesin-1.
However, in reconstituted kinesin-dynein pairs vitro, all three kinesin
families compete nearly equally well against dynein. Modeling and
experiments have confirmed that vertical forces inherent to the large
trapping beads enhance kinesin-1 dissociation rates. In vivo, vertical
forces are expected to range from negligible to dominant, depending on
cargo and microtubule geometries. To investigate the detachment and
reattachment kinetics of kinesin-1, 2 and 3 motors against loads
oriented parallel to the microtubule, we created a DNA tensiometer
comprising a DNA entropic spring attached to the microtubule on one end
and a motor on the other. Kinesin dissociation rates at stall were
slower than detachment rates during unloaded runs, and the complex
reattachment kinetics were consistent with a weakly-bound 'slip' state
preceding detachment. Kinesin-3 behaviors under load suggested that long
KIF1A run lengths result from the concatenation of multiple short runs
connected by diffusive episodes. Stochastic simulations were able to
recapitulate the load-dependent detachment and reattachment kinetics for
all three motors and provide direct comparison of key transition rates
between families. These results provide insight into how kinesin-1, -2
and -3 families transport cargo in complex cellular geometries and
compete against dynein during bidirectional transport.
- >-
AP-1 and AP-2 adaptor protein (AP) complexes mediate clathrin-dependent
trafficking at the trans-Golgi network (TGN) and the plasma membrane,
respectively. Whereas AP-1 is required for trafficking to plasma
membrane and vacuoles, AP-2 mediates endocytosis. These AP complexes
consist of four subunits (adaptins): two large subunits (β1 and γ for
AP-1 and β2 and α for AP-2), a medium subunit μ, and a small subunit σ.
In general, adaptins are unique to each AP complex, with the exception
of β subunits that are shared by AP-1 and AP-2 in some invertebrates.
Here, we show that the two putative Arabidopsis thaliana AP1/2β adaptins
co-assemble with both AP-1 and AP-2 subunits and regulate exocytosis and
endocytosis in root cells, consistent with their dual localization at
the TGN and plasma membrane. Deletion of both β adaptins is lethal in
plants. We identified a critical role of β adaptins in pollen wall
formation and reproduction, involving the regulation of membrane
trafficking in the tapetum and pollen germination. In tapetal cells, β
adaptins localize almost exclusively to the TGN and mediate exocytosis
of the plasma membrane transporters such as ATP-binding cassette (ABC)G9
and ABCG16. This study highlights the essential role of AP1/2β adaptins
in plants and their specialized roles in specific cell types.
- >-
A single kinesin molecule can move "processively" along a microtubule
for more than 1 micrometer before detaching from it. The prevailing
explanation for this processive movement is the "walking model," which
envisions that each of two motor domains (heads) of the kinesin molecule
binds coordinately to the microtubule. This implies that each kinesin
molecule must have two heads to "walk" and that a single-headed kinesin
could not move processively. Here, a motor-domain construct of KIF1A, a
single-headed kinesin superfamily protein, was shown to move
processively along the microtubule for more than 1 micrometer. The
movement along the microtubules was stochastic and fitted a biased
Brownian-movement model.
- source_sentence: >-
Phylogenetic analysis of mitochondrial genes in Macquarie perch from three
river basins
sentences:
- >-
Sedentary behavior is an emerging risk factor for cardiovascular disease
(CVD) and may be particularly relevant to the cardiovascular health of
older adults. This scoping review describes the existing literature
examining the prevalence of sedentary time in older adults with CVD and
the association of sedentary behavior with cardiovascular risk in older
adults. We found that older adults with CVD spend >75 % of their waking
day sedentary, and that sedentary time is higher among older adults with
CVD than among older adults without CVD. High sedentary behavior is
consistently associated with worse cardiac lipid profiles and increased
cardiac risk scores in older adults; the associations of sedentary
behavior with blood pressure, CVD incidence, and CVD-related mortality
among older adults are less clear. Future research with larger sample
sizes using validated methods to measure sedentary behavior are needed
to clarify the association between sedentary behavior and cardiovascular
outcomes in older adults.
- >-
An improved Bayesian method is presented for estimating phylogenetic
trees using DNA sequence data. The birth-death process with species
sampling is used to specify the prior distribution of phylogenies and
ancestral speciation times, and the posterior probabilities of
phylogenies are used to estimate the maximum posterior probability (MAP)
tree. Monte Carlo integration is used to integrate over the ancestral
speciation times for particular trees. A Markov Chain Monte Carlo method
is used to generate the set of trees with the highest posterior
probabilities. Methods are described for an empirical Bayesian analysis,
in which estimates of the speciation and extinction rates are used in
calculating the posterior probabilities, and a hierarchical Bayesian
analysis, in which these parameters are removed from the model by an
additional integration. The Markov Chain Monte Carlo method avoids the
requirement of our earlier method for calculating MAP trees to sum over
all possible topologies (which limited the number of taxa in an analysis
to about five). The methods are applied to analyze DNA sequences for
nine species of primates, and the MAP tree, which is identical to a
maximum-likelihood estimate of topology, has a probability of
approximately 95%.
- >-
Genetic variation in mitochondrial genes could underlie metabolic
adaptations because mitochondrially encoded proteins are directly
involved in a pathway supplying energy to metabolism. Macquarie perch
from river basins exposed to different climates differ in size and
growth rate, suggesting potential presence of adaptive metabolic
differences. We used complete mitochondrial genome sequences to build a
phylogeny, estimate lineage divergence times and identify signatures of
purifying and positive selection acting on mitochondrial genes for 25
Macquarie perch from three basins: Murray-Darling Basin (MDB),
Hawkesbury-Nepean Basin (HNB) and Shoalhaven Basin (SB). Phylogenetic
analysis resolved basin-level clades, supporting incipient speciation
previously inferred from differentiation in allozymes, microsatellites
and mitochondrial control region. The estimated time of lineage
divergence suggested an early- to mid-Pleistocene split between SB and
the common ancestor of HNB+MDB, followed by mid-to-late Pleistocene
splitting between HNB and MDB. These divergence estimates are more
recent than previous ones. Our analyses suggested that evolutionary
drivers differed between inland MDB and coastal HNB. In the cooler and
more climatically variable MDB, mitogenomes evolved under strong
purifying selection, whereas in the warmer and more climatically stable
HNB, purifying selection was relaxed. Evidence for relaxed selection in
the HNB includes elevated transfer RNA and 16S ribosomal RNA
polymorphism, presence of potentially mildly deleterious mutations and a
codon (ATP6
pipeline_tag: sentence-similarity
library_name: sentence-transformers
license: mit
SentenceTransformer based on thenlper/gte-base
This is a sentence-transformers model finetuned from thenlper/gte-base. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
Model Details
Model Description
- Model Type: Sentence Transformer
- Base model: thenlper/gte-base
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 768 dimensions
- Similarity Function: Cosine Similarity
Model Sources
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
Full Model Architecture
SentenceTransformer(
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False, 'architecture': 'BertModel'})
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
(2): Normalize()
)
Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformers
Then you can load this model and run inference.
from sentence_transformers import SentenceTransformer
# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
'Phylogenetic analysis of mitochondrial genes in Macquarie perch from three river basins',
'Genetic variation in mitochondrial genes could underlie metabolic adaptations because mitochondrially encoded proteins are directly involved in a pathway supplying energy to metabolism. Macquarie perch from river basins exposed to different climates differ in size and growth rate, suggesting potential presence of adaptive metabolic differences. We used complete mitochondrial genome sequences to build a phylogeny, estimate lineage divergence times and identify signatures of purifying and positive selection acting on mitochondrial genes for 25 Macquarie perch from three basins: Murray-Darling Basin (MDB), Hawkesbury-Nepean Basin (HNB) and Shoalhaven Basin (SB). Phylogenetic analysis resolved basin-level clades, supporting incipient speciation previously inferred from differentiation in allozymes, microsatellites and mitochondrial control region. The estimated time of lineage divergence suggested an early- to mid-Pleistocene split between SB and the common ancestor of HNB+MDB, followed by mid-to-late Pleistocene splitting between HNB and MDB. These divergence estimates are more recent than previous ones. Our analyses suggested that evolutionary drivers differed between inland MDB and coastal HNB. In the cooler and more climatically variable MDB, mitogenomes evolved under strong purifying selection, whereas in the warmer and more climatically stable HNB, purifying selection was relaxed. Evidence for relaxed selection in the HNB includes elevated transfer RNA and 16S ribosomal RNA polymorphism, presence of potentially mildly deleterious mutations and a codon (ATP6',
'An improved Bayesian method is presented for estimating phylogenetic trees using DNA sequence data. The birth-death process with species sampling is used to specify the prior distribution of phylogenies and ancestral speciation times, and the posterior probabilities of phylogenies are used to estimate the maximum posterior probability (MAP) tree. Monte Carlo integration is used to integrate over the ancestral speciation times for particular trees. A Markov Chain Monte Carlo method is used to generate the set of trees with the highest posterior probabilities. Methods are described for an empirical Bayesian analysis, in which estimates of the speciation and extinction rates are used in calculating the posterior probabilities, and a hierarchical Bayesian analysis, in which these parameters are removed from the model by an additional integration. The Markov Chain Monte Carlo method avoids the requirement of our earlier method for calculating MAP trees to sum over all possible topologies (which limited the number of taxa in an analysis to about five). The methods are applied to analyze DNA sequences for nine species of primates, and the MAP tree, which is identical to a maximum-likelihood estimate of topology, has a probability of approximately 95%.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 768]
# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities)
# tensor([[1.0000, 0.9449, 0.8056],
# [0.9449, 1.0000, 0.7868],
# [0.8056, 0.7868, 1.0000]])
Training Details
Training Dataset
Unnamed Dataset
- Size: 95,253 training samples
- Columns:
sentence_0,sentence_1, andsentence_2 - Approximate statistics based on the first 1000 samples:
sentence_0 sentence_1 sentence_2 type string string string details - min: 6 tokens
- mean: 19.51 tokens
- max: 56 tokens
- min: 3 tokens
- mean: 223.97 tokens
- max: 512 tokens
- min: 51 tokens
- mean: 309.24 tokens
- max: 512 tokens
- Samples:
sentence_0 sentence_1 sentence_2 Sox5 modulates the activity of Sox10 in the melanocyte lineageThe transcription factor Sox5 has previously been shown in chicken to be expressed in early neural crest cells and neural crest-derived peripheral glia. Here, we show in mouse that Sox5 expression also continues after neural crest specification in the melanocyte lineage. Despite its continued expression, Sox5 has little impact on melanocyte development on its own as generation of melanoblasts and melanocytes is unaltered in Sox5-deficient mice. Loss of Sox5, however, partially rescued the strongly reduced melanoblast generation and marker gene expression in Sox10 heterozygous mice arguing that Sox5 functions in the melanocyte lineage by modulating Sox10 activity. This modulatory activity involved Sox5 binding and recruitment of CtBP2 and HDAC1 to the regulatory regions of melanocytic Sox10 target genes and direct inhibition of Sox10-dependent promoter activation. Both binding site competition and recruitment of corepressors thus help Sox5 to modulate the activity of Sox10 in the melano...Transcripts for a new form of Sox5, called L-Sox5, and Sox6 are coexpressed with Sox9 in all chondrogenic sites of mouse embryos. A coiled-coil domain located in the N-terminal part of L-Sox5, and absent in Sox5, showed >90% identity with a similar domain in Sox6 and mediated homodimerization and heterodimerization with Sox6. Dimerization of L-Sox5/Sox6 greatly increased efficiency of binding of the two Sox proteins to DNA containing adjacent HMG sites. L-Sox5, Sox6 and Sox9 cooperatively activated expression of the chondrocyte differentiation marker Col2a1 in 10T1/2 and MC615 cells. A 48 bp chondrocyte-specific enhancer in this gene, which contains several HMG-like sites that are necessary for enhancer activity, bound the three Sox proteins and was cooperatively activated by the three Sox proteins in non-chondrogenic cells. Our data suggest that L-Sox5/Sox6 and Sox9, which belong to two different classes of Sox transcription factors, cooperate with each other in expression of Col2a1 a...are asgard archaea related to eukaryotesAsgard archaea are considered to be the closest known relatives of eukaryotes. Their genomes contain hundreds of eukaryotic signature proteins (ESPs), which inspired hypotheses on the evolution of the eukaryotic cellEukaryotes evolved from a symbiosis involving alphaproteobacteria and archaea phylogenetically nested within the Asgard clade. Two recent studies explore the metabolic capabilities of Asgard lineages, supporting refined symbiotic metabolic interactions that might have operated at the dawn of eukaryogenesis.Fanconi Anemia in Pediatric Medulloblastoma and Fanconi AnemiaThe outcome of children with medulloblastoma (MB) and Fanconi Anemia (FA), an inherited DNA repair deficiency, has not been described systematically. Treatment is complicated by high vulnerability to treatment-associated side effects, yet structured data are lacking. This study aims to give a comprehensive overview of clinical and molecular characteristics of pediatric FA MB patients.The Sonic Hedgehog (SHH) signaling pathway is indispensable for development, and functions to activate a transcriptional program modulated by the GLI transcription factors. Here, we report that loss of a regulator of the SHH pathway, Suppressor of Fused (Sufu), resulted in early embryonic lethality in the mouse similar to inactivation of another SHH regulator, Patched1 (Ptch1). In contrast to Ptch1+/- mice, Sufu+/- mice were not tumor prone. However, in conjunction with p53 loss, Sufu+/- animals developed tumors including medulloblastoma and rhabdomyosarcoma. Tumors present in Sufu+/-p53-/- animals resulted from Sufu loss of heterozygosity. Sufu+/-p53-/- medulloblastomas also expressed a signature gene expression profile typical of aberrant SHH signaling, including upregulation of N-myc, Sfrp1, Ptch2 and cyclin D1. Finally, the Smoothened inhibitor, hedgehog antagonist, did not block growth of tumors arising from Sufu inactivation. These data demonstrate that Sufu is essential for deve... - Loss:
MultipleNegativesRankingLosswith these parameters:{ "scale": 20.0, "similarity_fct": "cos_sim" }
Training Hyperparameters
Non-Default Hyperparameters
per_device_train_batch_size: 16per_device_eval_batch_size: 16num_train_epochs: 1max_steps: 20multi_dataset_batch_sampler: round_robin
All Hyperparameters
Click to expand
overwrite_output_dir: Falsedo_predict: Falseeval_strategy: noprediction_loss_only: Trueper_device_train_batch_size: 16per_device_eval_batch_size: 16per_gpu_train_batch_size: Noneper_gpu_eval_batch_size: Nonegradient_accumulation_steps: 1eval_accumulation_steps: Nonetorch_empty_cache_steps: Nonelearning_rate: 5e-05weight_decay: 0.0adam_beta1: 0.9adam_beta2: 0.999adam_epsilon: 1e-08max_grad_norm: 1num_train_epochs: 1max_steps: 20lr_scheduler_type: linearlr_scheduler_kwargs: {}warmup_ratio: 0.0warmup_steps: 0log_level: passivelog_level_replica: warninglog_on_each_node: Truelogging_nan_inf_filter: Truesave_safetensors: Truesave_on_each_node: Falsesave_only_model: Falserestore_callback_states_from_checkpoint: Falseno_cuda: Falseuse_cpu: Falseuse_mps_device: Falseseed: 42data_seed: Nonejit_mode_eval: Falseuse_ipex: Falsebf16: Falsefp16: Falsefp16_opt_level: O1half_precision_backend: autobf16_full_eval: Falsefp16_full_eval: Falsetf32: Nonelocal_rank: 0ddp_backend: Nonetpu_num_cores: Nonetpu_metrics_debug: Falsedebug: []dataloader_drop_last: Falsedataloader_num_workers: 0dataloader_prefetch_factor: Nonepast_index: -1disable_tqdm: Falseremove_unused_columns: Truelabel_names: Noneload_best_model_at_end: Falseignore_data_skip: Falsefsdp: []fsdp_min_num_params: 0fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}fsdp_transformer_layer_cls_to_wrap: Noneaccelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed: Nonelabel_smoothing_factor: 0.0optim: adamw_torchoptim_args: Noneadafactor: Falsegroup_by_length: Falselength_column_name: lengthddp_find_unused_parameters: Noneddp_bucket_cap_mb: Noneddp_broadcast_buffers: Falsedataloader_pin_memory: Truedataloader_persistent_workers: Falseskip_memory_metrics: Trueuse_legacy_prediction_loop: Falsepush_to_hub: Falseresume_from_checkpoint: Nonehub_model_id: Nonehub_strategy: every_savehub_private_repo: Nonehub_always_push: Falsegradient_checkpointing: Falsegradient_checkpointing_kwargs: Noneinclude_inputs_for_metrics: Falseinclude_for_metrics: []eval_do_concat_batches: Truefp16_backend: autopush_to_hub_model_id: Nonepush_to_hub_organization: Nonemp_parameters:auto_find_batch_size: Falsefull_determinism: Falsetorchdynamo: Noneray_scope: lastddp_timeout: 1800torch_compile: Falsetorch_compile_backend: Nonetorch_compile_mode: Noneinclude_tokens_per_second: Falseinclude_num_input_tokens_seen: Falseneftune_noise_alpha: Noneoptim_target_modules: Nonebatch_eval_metrics: Falseeval_on_start: Falseuse_liger_kernel: Falseeval_use_gather_object: Falseaverage_tokens_across_devices: Falseprompts: Nonebatch_sampler: batch_samplermulti_dataset_batch_sampler: round_robinrouter_mapping: {}learning_rate_mapping: {}
Framework Versions
- Python: 3.10.14
- Sentence Transformers: 5.0.0
- Transformers: 4.52.4
- PyTorch: 2.6.0+cu124
- Accelerate: 1.6.0
- Datasets: 3.6.0
- Tokenizers: 0.21.1
Citation
BibTeX
Sentence Transformers
@inproceedings{reimers-2019-sentence-bert,
title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
author = "Reimers, Nils and Gurevych, Iryna",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
month = "11",
year = "2019",
publisher = "Association for Computational Linguistics",
url = "https://arxiv.org/abs/1908.10084",
}
MultipleNegativesRankingLoss
@misc{henderson2017efficient,
title={Efficient Natural Language Response Suggestion for Smart Reply},
author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
year={2017},
eprint={1705.00652},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
If our work was helpful conside citing us ☺️
@misc{sinha2025bicaeffectivebiomedicaldense,
title={BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives},
author={Aarush Sinha and Pavan Kumar S and Roshan Balaji and Nirav Pravinbhai Bhatt},
year={2025},
eprint={2511.08029},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2511.08029},
}