Model: potsu-potsu/bge-base-mrl-train40k
Author: potsu-potsu
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:40482, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:40482, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: List the deadliest viruses in the world.
sentences: Mediator is a large multiprotein complex conserved in all eukaryotes, which has 
a crucial coregulator function in transcription by RNA polymerase II (Pol II). 
However, the molecular mechanisms of its action in vivo remain to be understood. 
Med17 is an essential and central component of the Mediator head module. In this 
work, we utilised our large collection of conditional temperature-sensitive 
med17 mutants to investigate Mediator's role in coordinating preinitiation 
complex (PIC) formation in vivo at the genome level after a transfer to a 
non-permissive temperature for 45 minutes. The effect of a yeast mutation 
proposed to be equivalent to the human Med17-L371P responsible for infantile 
cerebral atrophy was also analyzed. The ChIP-seq results demonstrate that med17 
mutations differentially affected the global presence of several PIC components 
including Mediator, TBP, TFIIH modules and Pol II. Our data show that Mediator 
stabilizes TFIIK kinase and TFIIH core modules independently, suggesting that 
the recruitment or the stability of TFIIH modules is regulated independently on 
yeast genome. We demonstrate that Mediator selectively contributes to TBP 
recruitment or stabilization to chromatin. This study provides an extensive 
genome-wide view of Mediator's role in PIC formation, suggesting that Mediator 
coordinates multiple steps of a PIC assembly pathway., mTOR complex 2 (mTORC2) signaling is upregulated in multiple types of human 
cancer, but the molecular mechanisms underlying its activation and regulation 
remain elusive. Here, we show that microRNA-mediated upregulation of Rictor, an 
mTORC2-specific component, contributes to tumor progression. Rictor is 
upregulated via the repression of the miR-424/503 cluster in human prostate and 
colon cancer cell lines that harbor c-Src upregulation and in Src-transformed 
cells. The tumorigenicity and invasive activity of these cells were suppressed 
by re-expression of miR-424/503. Rictor upregulation promotes formation of 
mTORC2 and induces activation of mTORC2, resulting in promotion of tumor growth 
and invasion. Furthermore, downregulation of miR-424/503 is associated with 
Rictor upregulation in colon cancer tissues. These findings suggest that the 
miR-424/503-Rictor pathway plays a crucial role in tumor progression., This year marks the 100th anniversary of the deadliest event in human history. 
In 1918-1919, pandemic influenza appeared nearly simultaneously around the globe 
and caused extraordinary mortality (an estimated 50-100 million deaths) 
associated with unexpected clinical and epidemiological features. The 
descendants of the 1918 virus remain today; as endemic influenza viruses, they 
cause significant mortality each year. Although the ability to predict influenza 
pandemics remains no better than it was a century ago, numerous scientific 
advances provide an important head start in limiting severe disease and death 
from both current and future influenza viruses: identification and substantial 
characterization of the natural history and pathogenesis of the 1918 causative 
virus itself, as well as hundreds of its viral descendants; development of 
moderately effective vaccines; improved diagnosis and treatment of 
influenza-associated pneumonia; and effective prevention and control measures. 
Remaining challenges include development of vaccines eliciting significantly 
broader protection (against antigenically different influenza viruses) that can 
prevent or significantly downregulate viral replication; more complete 
characterization of natural history and pathogenesis emphasizing the protective 
role of mucosal immunity; and biomarkers of impending influenza-associated 
pneumonia., source_sentence: Where is X-ray free electron laser used?
sentences: BACKGROUND: After tooth loss, the posterior maxilla is usually characterized by 
limited bone height secondary to pneumatization of the maxillary sinus and/or 
collapse of the alveolar ridge that preclude in many instances the installation 
of dental implants. In order to compensate for the lack of bone height, several 
treatment options have been proposed. These treatment alternatives aimed at the 
installation of dental implants with or without the utilization of bone grafting 
materials avoiding the perforation of the Schneiderian membrane. Nevertheless, 
membrane perforations represent the most common complication among these 
procedures. Consequently, the present review aimed at the elucidation of the 
relevance of this phenomenon on implant survival and complications.
MATERIAL AND METHODS: Electronic and manual literature searches were performed 
by two independent reviewers in several databases, including MEDLINE, EMBASE, 
and Cochrane Oral Health Group Trials Register, for articles up to January 2018 
reporting outcome of implant placement perforating the sinus floor without 
regenerative procedure (lateral sinus lift or transalveolar technique) and graft 
material. The intrusion of the implants can occur during drilling or implant 
placement, with and without punch out Schneiderian. Only studies with at least 
6 months of follow-up were included in the qualitative assessment.
RESULTS: Eight studies provided information on the survival rate, with a global 
sample of 493 implants, being the weighted mean survival rate 95.6% (IC 95%), 
after 52.7 months of follow-up. The level of implant penetration (≤ 4 mm or 
> 4 mm) did not report statistically significant differences in survival rate 
(p = 0.403). Seven studies provided information on the rate of clinical 
complications, being the mean complication rate 3.4% (IC 95%). The most frequent 
clinical complication was epistaxis, without finding significant differences 
according to the level of penetration. Five studies provide information on the 
radiographic complication; the most common complication was thickening of the 
Schneiderian membrane. The weighted complication rate was 14.8% (IC 95%), and 
penetration level affects the rate of radiological complications, being these of 
5.29% in implant penetrating ≤4 mm and 29.3% in implant penetrating > 4 mm, 
without reaching statistical significant difference (p = 0.301).
CONCLUSION: The overall survival rate of the implants into the sinus cavity was 
95.6%, without statistical differences according to the level of penetration. 
The clinical and radiological complications were 3.4% and 14.8% respectively. 
The most frequent clinical complication was the epistaxis, and the radiological 
complication was thickening of the Schneiderian membrane, without reaching 
statistical significant difference according to the level of implant penetration 
inside the sinus., Ultrashort X-ray pulses from free-electron laser X-ray sources make it feasible 
to conduct small- and wide-angle scattering experiments on biomolecular samples 
in solution at sub-picosecond timescales. During these so-called fluctuation 
scattering experiments, the absence of rotational averaging, typically induced 
by Brownian motion in classic solution-scattering experiments, increases the 
information content of the data. In order to perform shape reconstruction or 
structure refinement from such data, it is essential to compute the theoretical 
profiles from three-dimensional models. Based on the three-dimensional Zernike 
polynomial expansion models, a fast method to compute the theoretical 
fluctuation scattering profiles has been derived. The theoretical profiles have 
been validated against simulated results obtained from 300 000 scattering 
patterns for several representative biomolecular species., Hemophilic Pseudotumor is a rare complication of hemophilia. It  is an encapsulated haematoma in patients with haemophilia  which has a tendency to progress and produce clinical symptoms related to its anatomical location. The lesion most frequently occurs in the long bones, pelvis, small bones of the hands and feet, or rarely in the maxillofacial region., source_sentence: For the constructions of which organs has 3D printing been tested?
sentences: The ability to three-dimensionally interweave biological tissue with functional 
electronics could enable the creation of bionic organs possessing enhanced 
functionalities over their human counterparts. Conventional electronic devices 
are inherently two-dimensional, preventing seamless multidimensional integration 
with synthetic biology, as the processes and materials are very different. Here, 
we present a novel strategy for overcoming these difficulties via additive 
manufacturing of biological cells with structural and nanoparticle derived 
electronic elements. As a proof of concept, we generated a bionic ear via 3D 
printing of a cell-seeded hydrogel matrix in the anatomic geometry of a human 
ear, along with an intertwined conducting polymer consisting of infused silver 
nanoparticles. This allowed for in vitro culturing of cartilage tissue around an 
inductive coil antenna in the ear, which subsequently enables readout of 
inductively-coupled signals from cochlea-shaped electrodes. The printed ear 
exhibits enhanced auditory sensing for radio frequency reception, and 
complementary left and right ears can listen to stereo audio music. Overall, our 
approach suggests a means to intricately merge biologic and nanoelectronic 
functionalities via 3D printing., A case of heterochromia iridis and Horner's syndrome is reported in a 7-year old 
girl with paravertebral neurilemmoma. These clinical findings can be useful in 
the early diagnosis of mediastinal tumors in the paravertebral axis. While 
typically associated with neuroblastoma, these findings can be due to tumors 
which are inately benign--in this case neurilemmoma. The mechanism for 
heterochromia is briefly discussed., The creation of complex neuronal networks relies on ligand-receptor interactions 
that mediate attraction or repulsion towards specific targets. Roundabouts 
comprise a family of single-pass transmembrane receptors facilitating this 
process upon interaction with the soluble extracellular ligand Slit protein 
family emanating from the midline. Due to the complexity and flexible nature of 
Robo receptors , their overall structure has remained elusive until now. Recent 
structural studies of the Robo 1 and Robo 2 ectodomains have provided the basis 
for a better understanding of their signalling mechanism. These structures 
reveal how Robo receptors adopt an auto-inhibited conformation on the cell 
surface that can be further stabilised by cis and/or trans oligmerisation 
arrays. Upon Slit -N binding Robo receptors must undergo a conformational change 
for Ig4 mediated dimerisation and signaling, probably via endocytosis. 
Furthermore, it's become clear that Robo receptors do not only act alone, but as 
large and more complex cell surface receptor assemblies to manifest directional 
and growth effects in a concerted fashion. These context dependent assemblies 
provide a mechanism to fine tune attractive and repulsive signals in a 
combinatorial manner required during neuronal development. While a mechanistic 
understanding of Slit mediated Robo signaling has advanced significantly further 
structural studies on larger assemblies are required for the design of new 
experiments to elucidate their role in cell surface receptor complexes. These 
will be necessary to understand the role of Slit -Robo signaling in 
neurogenesis, angiogenesis, organ development and cancer progression. In this 
chapter, we provide a review of the current knowledge in the field with a 
particular focus on the Roundabout receptor family., source_sentence: For the constructions of which organs has 3D printing been tested?
sentences: Objective:To evaluate the value of improved Mallampati grading combined with 
NoSAS questionnaire in screening for obstructive sleep apnea （OSA）. Method:A 
total of 344 patients admitted to our hospital for sleep disorders were studied. 
All patients were measured for their height, weight, neck circumference and 
other parameters. NoSAS scores, improved Mallampati grading and polysomnography 
（PSG） were performed in these patients. According to AHI in PSG monitoring 
results, patients were divided into non-osa group （AHI<5） 93 cases and OSA group 
251 cases. The OSA group were divided into mild （AHI 5-15）, moderate（AHI 16-30） 
and severe OSA group（AHI>30） according to the PSG result. The ROC curve was 
plotted to evaluate the screening value of NoSAS and improved Mallampati grading 
combined with NoSAS for OSA. Result:With the NoSAS score of 8 or 9 as cutoffs 
for analysis, the sensitivity for OSA was 0.733 and 0.701; the specificity for 
OSA was 0.538 and 0.624, respectively. The sensitivity and specificity of NoSAS 
combined with improved Mallampati grading for screening OSA were 0.813 and 
0.710, respectively. Conclusion:As a new screening tool, NoSAS questionnaire is 
simple and convenient, and has certain screening value to OSA. The improved 
Mallampati grading combined with NoSAS questionnaire can obviously improve the 
screening sensitivity and specificity of Osa, and has higher application value., The morphology and the functionality of the murid glandular complex, composed of 
the submandibular and sublingual salivary glands (SSC), were the object of 
several studies conducted mainly using magnetic resonance imaging (MRI). Using a 
4.7 T scanner and a manganese-based contrast agent, we improved the 
signal-to-noise ratio of the SSC relating to the surrounding anatomical 
structures allowing to obtain high-contrast 3D images of the SSC. In the last 
few years, the large development in resin melting techniques opened the way for 
printing 3D objects starting from a 3D stack of images. Here, we demonstrate the 
feasibility of the 3D printing technique of soft tissues such as the SSC in the 
rat with the aim to improve the visualization of the organs. This approach is 
useful to preserve the real in vivo morphology of the SCC in living animals 
avoiding the anatomical shape changes due to the lack of relationships with the 
surrounding organs in case of extraction. It is also harmless, repeatable and 
can be applied to explore volumetric changes occurring during body growth, 
excretory duct obstruction, tumorigenesis and regeneration processes. 3D 
printing allows to obtain a solid object with the same shape of the organ of 
interest, which can be observed, freely rotated and manipulated. To increase the 
visibility of the details, it is possible to print the organs with a selected 
zoom factor, useful as in case of tiny organs in small mammalia. An immediate 
application of this technique is represented by educational classes., Mobile phone use and risk of acoustic neuroma: results of the interphone 
case-control study in five north European countries [corrected]., source_sentence: What is known about the Digit Ratio (2D:4D) cancer?
sentences: Proteins undergo conformational changes during their biological function. As 
such, a high-resolution structure of a protein's resting conformation provides a 
starting point for elucidating its reaction mechanism, but provides no direct 
information concerning the protein's conformational dynamics. Several X-ray 
methods have been developed to elucidate those conformational changes that occur 
during a protein's reaction, including time-resolved Laue diffraction and 
intermediate trapping studies on three-dimensional protein crystals, and 
time-resolved wide-angle X-ray scattering and X-ray absorption studies on 
proteins in the solution phase. This review emphasizes the scope and limitations 
of these complementary experimental approaches when seeking to understand 
protein conformational dynamics. These methods are illustrated using a limited 
set of examples including myoglobin and haemoglobin in complex with carbon 
monoxide, the simple light-driven proton pump bacteriorhodopsin, and the 
superoxide scavenger superoxide reductase. In conclusion, likely future 
developments of these methods at synchrotron X-ray sources and the potential 
impact of emerging X-ray free-electron laser facilities are speculated upon., Extensive messenger RNA editing generates transcript and protein diversity in genes involved in neural excitability, as previously described, as well as in genes participating in a broad range of other cellular functions. , BACKGROUND: The ratio of the lengths of index and ring fingers (2D:4D) is a 
marker of prenatal exposure to sex hormones, with low 2D:4D being indicative of 
high prenatal androgen action. Recent studies have reported a strong association 
between 2D:4D and risk of prostate cancer.
METHODS: A total of 6258 men participating in the Melbourne Collaborative Cohort 
Study had 2D:4D assessed. Of these men, we identified 686 incident prostate 
cancer cases. Hazard ratios (HRs) and confidence intervals (CIs) were estimated 
for a standard deviation increase in 2D:4D.
RESULTS: No association was observed between 2D:4D and prostate cancer risk 
overall (HRs 1.00; 95% CIs, 0.92-1.08 for right, 0.93-1.08 for left). We 
observed a weak inverse association between 2D:4D and risk of prostate cancer 
for age <60, however 95% CIs included unity for all observed ages.
CONCLUSION: Our results are not consistent with an association between 2D:4D and 
overall prostate cancer risk, but we cannot exclude a weak inverse association 
between 2D:4D and early onset prostate cancer risk.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100
model-index: name: Biomedical MRL
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@1
value: 0.7397454031117398
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8472418670438473
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8925035360678925
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9292786421499293
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7397454031117398
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.6058462989156059
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5295615275813296
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.41103253182461097
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.22757153438103173
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.39389351666156774
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4953500769443452
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.626185395476178
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.7036538830306982
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.8041815406030398
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6499688056459438
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@1
value: 0.7326732673267327
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.842998585572843
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8882602545968883
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9151343705799151
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7326732673267327
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5964167845355963
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5278642149929279
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.40990099009900993
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.21918993091456265
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.38673218299790596
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4915208575777972
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6229670136489501
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6971415938662006
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7968989245863362
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6403253251933015
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@1
value: 0.7227722772277227
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8373408769448374
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8769448373408769
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9108910891089109
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7227722772277227
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5893446487505893
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.5131541725601132
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.4048090523338048
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.2165092120706659
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3843563311047163
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.4706508437641641
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.6082103871285517
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.6857315358161504
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7889281785321389
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.6255397978739031
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 128
type: dim_128
metrics: type: cosine_accuracy@1
value: 0.7072135785007072
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.8076379066478077
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8458274398868458
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8967468175388967
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.7072135785007072
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5605846298915607
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.4876944837340877
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.38189533239038187
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.2131717638221153
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3571863197583239
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.44275724893253604
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5763830904405497
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.651957768079385
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7681035450483825
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5861399094808066
name: Cosine Map@100
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 64
type: dim_64
metrics: type: cosine_accuracy@1
value: 0.6435643564356436
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.7666195190947667
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.8048090523338048
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8415841584158416
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.6435643564356436
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.5115511551155115
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.45007072135785003
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.3510608203677511
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.18506567524592368
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.3180821001225782
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.3926270123067019
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.5118404409971898
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.5894018468562044
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.7115219685233828
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.5197323616049745
name: Cosine Map@100
verified: no
Likes: 0 | All-time downloads: 38
Created: 2025-06-13 18:05:30