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Add new SentenceTransformer model.
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metadata
base_model: pankajrajdeo/UMLS-Pubmed-ST-TCE-Epoch-1
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:137221
  - loss:MultipleNegativesRankingLoss
widget:
  - source_sentence: >-
      What are the underlying physical mechanisms that allow for the detection
      of rotation velocity using orbital angular momentum light spots, even when
      they are completely deviated from the rotation center?
    sentences:
      - >-
        Pneumothorax following ultrasound-guided jugular vein puncture for
        central venous access in interventional radiology: 4 years of
        experience. PURPOSE: The purpose of our study was to review the rate of
        pneumothorax following central venous access, using real-time ultrasound
        guidance. MATERIALS AND METHODS: Data related to ultrasound-guided
        venous puncture, for central venous access, performed between July 1,
        2004 and June 30, 2008 was retrospectively and prospectively collected.
        Access route, needle gauge, catheter type, and diagnosis of pneumothorax
        on the intraprocedure spot radiographs and or the postprocedure chest
        radiographs, were recorded. RESULTS: A total of 1262 ultrasound-guided
        jugular venous puncture for central venous access were performed on a
        total of 1066 patients between July 1, 2004 and June 30, 2008. Access
        vessels included 983 right internal jugular veins, 275 left internal
        jugular veins, and 4 right external jugular veins. No pneumothorax (0%)
        was identified. CONCLUSION: Due to an extremely low rate of pneumothorax
        following ultrasound-guided central venous access, 0% in our study and
        other published studies, we suggest that routine postprocedure chest
        radiograph to exclude pneumothorax may be dispensed unless it is
        suspected by the operator or if the patient becomes symptomatic.
      - >-
        Targeting CDK4/6 in patients with cancer. The cyclin D-cyclin dependent
        kinase (CDK) 4/6-inhibitor of CDK4 (INK4)-retinoblastoma (Rb) pathway
        controls cell cycle progression by regulating the G1-S checkpoint.
        Dysregulation of the cyclin D-CDK4/6-INK4-Rb pathway results in
        increased proliferation, and is frequently observed in many types of
        cancer. Pathway activation can occur through a variety of mechanisms,
        including gene amplification or rearrangement, loss of negative
        regulators, epigenetic alterations, and point mutations in key pathway
        components. Due to the importance of CDK4/6 activity in cancer cells,
        CDK4/6 inhibitors have emerged as promising candidates for cancer
        treatment. Moreover, combination of a CDK4/6 inhibitor with other
        targeted therapies may help overcome acquired or de novo treatment
        resistance. Ongoing studies include combinations of CDK4/6 inhibitors
        with endocrine therapy and phosphatidylinositol 3-kinase (PI3K) pathway
        inhibitors for hormone receptor-positive (HR+) breast cancers, and with
        selective RAF and MEK inhibitors for tumors with alterations in the
        mitogen activated protein kinase (MAPK) pathway such as melanoma. In
        particular, the combination of CDK4/6 inhibitors with endocrine therapy,
        such as palbociclib's recent first-line approval in combination with
        letrozole, is expected to transform the treatment of HR+ breast cancer.
        Currently, three selective CDK4/6 inhibitors have been approved or are
        in late-stage development: palbociclib (PD-0332991), ribociclib
        (LEE011), and abemaciclib (LY2835219). Here we describe the current
        preclinical and clinical data for these novel agents and discuss
        combination strategies with other agents for the treatment of cancer.
      - >-
        Rotation velocity detection with orbital angular momentum light spot
        completely deviated out of the rotation center. Based on the rotational
        Doppler effect, an orbital angular momentum beam can measure the lateral
        rotation velocity of an object, which has broad application prospects.
        However, all existing research focus on the light spot center coinciding
        with the rotation center, or only with small center offset. This is
        difficult to ensure in remote detection applications. In this paper, the
        rotational Doppler frequency shifts under three cases, including no
        center offset, small center offset and large center offset, are analyzed
        theoretically. Through theoretical research results, a novel method of
        measuring rotation velocity is proposed, with the light spot completely
        deviated out of the rotation center. A laboratory verification
        experiment shows that this proposed method breaks the limit of center
        offset of lateral rotation velocity measurement and is of great
        significance to the remote detection of non-cooperative rotation object.
  - source_sentence: >-
      What are the implications of hydrogen bonding patterns on the
      supramolecular assembly of molecules, and how can these interactions be
      manipulated or controlled?
    sentences:
      - >-
        M.V. Volkenstein, evolutionary thinking and the structure of fitness
        landscapes. High dimensional fitness landscapes are robustly dominated
        by saddle points, not isolated peaks. We present an argument to this
        effect that is reminiscent of May's complexity stability analysis and
        trace out the significance for the dynamics of speciation, the
        connection between the neutral and punctuated aspects of evolution and
        evolution on moving landscapes. The paper is written in honor of M.V.
        Volkenstein, who devoted his last papers to uniting dynamics with
        evolutionary thinking.
      - >-
        Differential impacts of smoke-free laws on indoor air quality. The
        authors assessed the impacts of two different smoke-free laws on indoor
        air quality. They compared the indoor air quality of 10 hospitality
        venues in Lexington and Louisville, Kentucky, before and after the
        smoke-free laws went into effect. Real-time measurements of particulate
        matter with aerodynamic diameter of 2.5 microm or smaller (PM2.5) were
        made. One Lexington establishment was excluded from the analysis of
        results because of apparent smoking violation after the law went into
        effect. The average indoor PM2.5 concentrations in the nine Lexington
        venues decreased 91 percent, from 199 to 18 microg/m3. The average
        indoor PM2.5 concentrations in the 10 Louisville venues, however,
        increased slightly, from 304 to 338 microg/m3. PM2.5 levels in the
        establishments decreased as numbers of burning cigarettes decreased.
        While the Louisville partial smoke-free law with exemptions did not
        reduce indoor air pollution in the selected venues, comprehensive and
        properly enforced smoke-free laws can be an effective means of reducing
        indoor air pollution.
      - >-
        Structures of three substituted arenesulfonamides from X-ray powder
        diffraction data using the differential evolution technique. The
        structures of three substituted arenesulfonamides have been solved from
        laboratory X-ray powder diffraction data, using a new direct-space
        structure solution method based on a differential evolution algorithm,
        and refined by the Rietveld method. In 2-toluenesulfonamide,
        C(7)H(9)NO(2)S (I) (tetragonal I4(1)/a, Z = 16), the molecules are
        linked by N-H...O=S hydrogen bonds into a three-dimensional framework.
        In 3-nitrobenzenesulfonamide, C(6)H(6)N(2)O(4)S (II) (monoclinic P2(1),
        Z = 2), N-H...O=S hydrogen bonds produce molecular ladders, which are
        linked into sheets by C-H...O=S hydrogen bonds: the nitro group does not
        participate in the hydrogen bonding. Molecules of
        4-nitrobenzenesulfonamide, C(6)H(6)N(2)O(4)S (III) (monoclinic P2(1)/n,
        Z = 4), are linked into sheets by four types of hydrogen bond,
        N-H...O=S, N-H...O(nitro), C-H...O=S and C-H...O(nitro), and the sheets
        are weakly linked by aromatic pi...pi stacking interactions.
  - source_sentence: When ceritinib used instead of crizotinib?
    sentences:
      - >-
        Pemedolac: a novel and long-acting non-narcotic analgesic.
        Pemedolacindole-1-acetic acid; AY-30,715] exhibited potent analgesic
        effects against chemically induced pain in rats and mice and against
        inflammatory pain in rats. In each of the animal models used the
        analgesic potency of pemedolac was defined by an ED50 of 2.0 mg/kg p.o.
        or less. Significant analgesic activity was detected in rats at 16 hr
        after administration of 1 mg/kg p.o. (paw pressure test) and at 10 hr
        after administration of 10 mg/kg p.o. to mice (p-phenylbenzoquinone
        writhing). Inasmuch as pemedolac was inactive in the hot plate and
        tail-flick tests; and its analgesic activity was not antagonized by
        naloxone (1 mg/kg s.c.), and tolerance did not develop upon multiple
        administration; this drug does not exert its analgesic effects through
        an opiate mechanism. Pemedolac differed from standard nonsteroidal
        anti-inflammatory drugs (NSAIDs) in that the doses which produced
        analgesia were much lower than those required for either
        anti-inflammatory or gastric irritant effects. In acute
        anti-inflammatory tests, pemedolac exhibited only weak activity as
        evidenced by an ED50 approximately 100 mg/kg p.o. in the carrageenan paw
        edema procedure. This demonstrates for pemedolac a separation of at
        least 50-fold between the acute analgesic and anti-inflammatory
        activities, which was greater than that observed with reference NSAIDs.
        The compound also had a low ulcerogenic liability with an acute UD50 =
        107 mg/kg p.o. and a subacute UD50 estimated to be 140 mg/kg/day p.o. In
        contrast, the reference NSAIDS (piroxicam, indomethacin, naproxen and
        ibuprofen) exhibited similar dose-response relationships for the
        analgesic, anti-inflammatory and gastric irritant effects.(ABSTRACT
        TRUNCATED AT 250 WORDS).
      - >-
        Genome-wide detection of CNVs associated with beak deformity in chickens
        using high-density 600K SNP arrays. Beak deformity (crossed beaks) is
        found in several indigenous chicken breeds including Beijing-You studied
        here. Birds with deformed beaks have reduced feed intake and poor
        production performance. Recently, copy number variation (CNV) has been
        examined in many species and is recognized as a source of genetic
        variation, especially for disease phenotypes. In this study, to unravel
        the genetic mechanisms underlying beak deformity, we performed
        genome-wide CNV detection using Affymetrix chicken high-density 600K
        data on 48 deformed-beak and 48 normal birds using penncnv. As a result,
        two and eight CNV regions (CNVRs) covering 0.32 and 2.45 Mb respectively
        on autosomes were identified in deformed-beak and normal birds
        respectively. Further RT-qPCR studies validated nine of the 10 CNVRs.
        The ratios of six CNVRs were significantly different between
        deformed-beak and normal birds (P < 0.01). Within these six regions,
        three and 21 known genes were identified in deformed-beak and normal
        birds respectively. Bioinformatics analysis showed that these genes were
        enriched in six GO terms and one KEGG pathway. Five candidate genes in
        the CNVRs were further validated using RT-qPCR. The expression of LRIG2
        (leucine rich repeats and immunoglobulin like domains 2) was lower in
        birds with deformed beaks (P < 0.01). Therefore, the LRIG2 gene could be
        considered a key factor in view of its known functions and its potential
        roles in beak deformity. Overall, our results will be helpful for future
        investigations of the genomic structural variations underlying beak
        deformity in chickens.
      - >-
        Ceritinib: a new tyrosine kinase inhibitor for non-small-cell lung
        cancer. OBJECTIVE: To review ceritinib for the treatment of anaplastic
        lymphoma kinase (ALK)-positive metastatic non-small-cell lung cancer
        (NSCLC). DATA SOURCES: Literature searches were conducted in PubMed,
        EMBASE (1974 to July week 5, 2014), and Google Scholar using the terms
        ceritinib, LDK378, and non-small-cell lung cancer. STUDY SELECTION AND
        DATA EXTRACTION: One phase 1 trial and 2 abstracts were identified. DATA
        SYNTHESIS: Ceritinib is approved for the treatment of ALK-positive
        metastatic NSCLC in patients who are intolerant to or have progressed
        despite therapy with crizotinib. In the phase 1 clinical trial, the
        maximum tolerated dose was determined to be 750 mg once daily. The
        overall response rate (ORR) was 58% (95% CI = 48-67) in patients who
        received ≥400 mg daily (n = 114). In this group, the ORR was 56% (95% CI
        = 41-67) and 62% (95% CI = 44-78) among crizotinib-exposed and -naïve
        patients, respectively. The ORR was 59% (95% CI = 47-70) in patients who
        received 750 mg daily (n = 78). The ORR was 56% (95% CI = 41-70) in
        crizotinib-treated patients and 64% (95% CI = 44-81) in crizotinib-naïve
        patients, respectively, in this subset. The median duration of response
        was 8.2 months. Median progression-free survival was 7.0 months. The
        most common adverse reactions included diarrhea, nausea, vomiting,
        abdominal pain, anorexia, constipation, fatigue, and elevated
        transaminases. CONCLUSIONS: Ceritinib has activity in
        crizotinib-resistant and crizotinib-naïve patients and appears to be a
        viable alternative for ALK-positive NSCLC. Long-term data are needed to
        further define the role of ceritinib in the treatment of NSCLC.
  - source_sentence: >-
      How do underlying physiological mechanisms influence the relationship
      between muscle tension and headache disorders?
    sentences:
      - >-
        The correlation of lncRNA SNHG16 with inflammatory cytokines, adhesion
        molecules, disease severity, and prognosis in acute ischemic stroke
        patients. BACKGROUND: Long non-coding RNA small nucleolar RNA host gene
        16 (lncRNA SNHG16) is involved in the pathogenesis of acute ischemic
        stroke (AIS) through the regulation of brain endothelial cell viability,
        inflammation, atherosclerotic plaque formation, and neural apoptosis.
        This study aimed to evaluate the prognostic value of lncRNA SNHG16 in
        AIS patients. METHODS: Newly diagnosed AIS patients (N = 120) were
        serially recruited. Their lncRNA SNHG16 expressions in peripheral blood
        mononuclear cells (PBMCs) were detected by reverse
        transcription-quantitative polymerase chain reaction (RT-qPCR); serum
        inflammatory cytokines and adhesion molecules were determined using
        enzyme-linked immunosorbent assay (ELISA). The accumulating
        recurrence-free survival (RFS) and overall survival (OS) were analyzed.
        Moreover, controls (N = 60) were recruited and their lncRNA SNHG16
        expressions in PBMCs were detected. RESULTS: LncRNA SNHG16 was declined
        in AIS patients compared to controls (p < 0.001). Moreover, lncRNA
        SNHG16 was not related to any comorbidities in AIS patients (all p >
        0.05). Interestingly, lncRNA SNHG16 was negatively related to tumor
        necrosis factor alpha (TNF-α) (p < 0.001), interleukin 6 (IL-6) (p =
        0.013), and intracellular cell adhesion molecule-1 (ICAM-1) (p = 0.024),
        while positively correlated with interleukin 10 (IL-10) (p = 0.022) in
        AIS patients. Besides, lncRNA SNHG16 was inversely associated with the
        National Institutes of Health Stroke Scale (NIHSS) score in AIS patients
        (p = 0.003). During the follow-up period, in 14 (11.7%) patients
        occurred recurrence and 5 (4.2%) patients died. Unexpectedly, lncRNA
        SNHG16 was not associated with accumulating RFS (p = 0.103) or OS (p =
        0.150) in AIS patients. CONCLUSION: LncRNA SNHG16 relates to lower
        inflammatory cytokines, adhesion molecules, and milder disease severity,
        but fails to predict prognosis in AIS patients.
      - >-
        Burning mouth syndrome: a discussion of a complex pathology. Burning
        mouth syndrome is a complex pathology for which there is very little
        information about the etiology and pathogenesis. This lack of knowledge
        leaves patients with suboptimal treatments. This article discusses the
        existing scientific evidence about this disease. Since topical oral use
        of clonazepam have been shown to be effective and safe to treat some
        patients suffering with burning mouth syndrome, formulations including
        clonazepam are included with this article. Compounding topical
        preparations of clonazepam offers opportunities for compounding
        pharmacists to be more involved in improving the quality of life of
        burning mouth syndrome patients.
      - >-
        Tension headaches and muscle tension: is there a role for magnesium?
        Although many theories and hypotheses have been offered for the etiology
        of tension-type headache (TH), no one previous hypothesis seems to
        adequately explain TH. This may, in large measure, account for why it is
        often difficult to effectively treat TH. Herein, we review current and
        old hypotheses of TH and offer a new hypothesis which is consistent with
        what is known about TH. We show that magnesium (Mg) metabolism may be
        pivotal in both the etiology and treatment of TH. Measurement of serum
        ionized Mg2+ (IMg2+) levels and brain intracellular free Mg2+ (i) appear
        to offer excellent methods for establishing the validity of our
        hypothesis. Since approximately 70% of patients who have a TH exhibit
        muscular tightness and tenderness, it is distinctly possible that
        problems in Mg metabolism and dietary intake are the links to
        concomitant muscle tension and TH. The significance of release of pain
        mediators, muscle cramps, muscle strains (and damage) and muscle tension
        to TH, and its relationship to Mg metabolism, are reviewed. These are
        all associated with a Mg-deficient state. It seems clear from the
        available data that TH's are more associated with muscle tension or
        scalp tension than any other headache type. From the data available, Mg
        supplementation appears to be of great benefit in many of these
        situations. We believe there is a great need for clinicians to examine
        Mg2+ metabolism, bioavailable Mg2+ in muscle tissues and blood, and the
        effectiveness of Mg salts (in a double-blinded, placebo-controlled
        manner) in subjects with TH and muscle tension.
  - source_sentence: >-
      How do the structural properties of nanoporous materials influence their
      efficiency in catalytic reactions?
    sentences:
      - >-
        Rationale and design of the Kanyini guidelines adherence with the
        polypill (Kanyini-GAP) study: a randomised controlled trial of a
        polypill-based strategy amongst indigenous and non indigenous people at
        high cardiovascular risk. BACKGROUND: The Kanyini Guidelines Adherence
        with the Polypill (Kanyini-GAP) Study aims to examine whether a
        polypill-based strategy (using a single capsule containing aspirin, a
        statin and two blood pressure-lowering agents) amongst Indigenous and
        non-Indigenous people at high risk of experiencing a cardiovascular
        event will improve adherence to guideline-indicated therapies, and lower
        blood pressure and cholesterol levels. METHODS/DESIGN: The study is an
        open, randomised, controlled, multi-centre trial involving 1000
        participants at high risk of cardiovascular events recruited from
        mainstream general practices and Aboriginal Medical Services, followed
        for an average of 18 months. The participants will be randomised to one
        of two versions of the polypill, the version chosen by the treating
        health professional according to clinical features of the patient, or to
        usual care. The primary study outcomes will be changes, from baseline
        measures, in serum cholesterol and systolic blood pressure and
        self-reported current use of aspirin, a statin and at least two blood
        pressure lowering agents. Secondary study outcomes include
        cardiovascular events, renal outcomes, self-reported barriers to
        indicated therapy, prescription of indicated therapy, occurrence of
        serious adverse events and changes in quality-of-life. The trial will be
        supplemented by formal economic and process evaluations. DISCUSSION: The
        Kanyini-GAP trial will provide new evidence as to whether or not a
        polypill-based strategy improves adherence to effective cardiovascular
        medications amongst individuals in whom these treatments are indicated.
        TRIAL REGISTRATION: This trial is registered with the Australian New
        Zealand Clinical Trial Registry ACTRN126080005833347.
      - >-
        A highly robust cluster-based indium(III)-organic framework with
        efficient catalytic activity in cycloaddition of CO2 and Knoevenagel
        condensation. The efficient catalytic performance displayed by MOFs is
        decided by an appropriate charge/radius ratio of defect metal sites,
        large enough solvent-accessible channels and Lewis base sites capable of
        polarizing substrate molecules. Herein, the solvothermal self-assembly
        led to a highly robust nanochannel-based framework of {·2DMF·5H2O}n
        (NUC-66) with a 56.8% void volume, which is a combination of a
        tetranuclear cluster (abbreviated as {In4}) and a conjugated tetracyclic
        pentacarboxylic acid ligand of
        4,4'-(4-(4-carboxyphenyl)pyridine-2,6-diyl)diisophthalic acid (H5CPDD).
        To the best of our knowledge, NUC-66 is a rarely reported {In4}-based 3D
        framework with embedded hierarchical triangular-microporous (2.9 Å) and
        hexagonal-nanoporous (12.0 Å) channels, which are shaped by six rows of
        {In4} clusters. After solvent exchange and vacuum drying, the surface of
        nanochannels in desolvated NUC-66a is modified by unsaturated In3+ ions,
        Npyridine atoms and μ3-OH groups, all of which display polarization
        ability towards polar molecules due to their Lewis acidity or basicity.
        The catalytic experiments performed showed that NUC-66a had high
        catalytic activity in the cycloaddition reactions of epoxides with CO2
        under mild conditions, which should be ascribed to its structural
        advantages including nanoscale channels, rich bifunctional active sites,
        large surface areas and chemical stability. Moreover, NUC-66a, as a
        heterogeneous catalyst, could greatly accelerate the Knoevenagel
        condensation reactions of aldehydes and malononitrile. Hence, this work
        confirms that the development of rigid nanoporous cluster-based MOFs
        built on metal ions with a high charge and large radius ratio will be
        more likely to realize practical applications, such as catalysis,
        adsorption and separation of gas, etc.
      - >-
        Absolute quantification of dehydroacetic acid in processed foods using
        quantitative 1H NMR. An absolute quantification method for the
        determination of dehydroacetic acid in processed foods using
        quantitative (1)H NMR was developed and validated. The level of
        dehydroacetic acid was determined using the proton signals of
        dehydroacetic acid referenced to 1,4-bis (trimethylsilyl) benzene-d4
        after simple solvent extraction from processed foods. All the recoveries
        from three processed foods spiked at two different concentrations were
        larger than 85%. The proposed method also proved to be precise, with
        inter-day precision and excellent linearity. The limit of quantification
        was confirmed as 0.13g/kg in processed foods, which is sufficiently low
        for the purposes of monitoring dehydroacetic acid. Furthermore, the
        method is rapid and easy to apply, and provides International System of
        Units traceability without the need for authentic analyte reference
        materials. Therefore, the proposed method is a useful and practical tool
        for determining the level of dehydroacetic acid in processed foods.

SentenceTransformer based on pankajrajdeo/UMLS-Pubmed-ST-TCE-Epoch-1

This is a sentence-transformers model finetuned from pankajrajdeo/UMLS-Pubmed-ST-TCE-Epoch-1. It maps sentences & paragraphs to a 384-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: pankajrajdeo/UMLS-Pubmed-ST-TCE-Epoch-1
  • Maximum Sequence Length: 1024 tokens
  • Output Dimensionality: 384 tokens
  • Similarity Function: Cosine Similarity

Model Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 1024, 'do_lower_case': False}) with Transformer model: BertModel 
  (1): Pooling({'word_embedding_dimension': 384, '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})
)

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("pankajrajdeo/UMLS-Pubmed-ST-TCE-Epoch-1-QA_100K-BioASQ-Epoch_5")
# Run inference
sentences = [
    'How do the structural properties of nanoporous materials influence their efficiency in catalytic reactions?',
    "A highly robust cluster-based indium(III)-organic framework with efficient catalytic activity in cycloaddition of CO2 and Knoevenagel condensation. The efficient catalytic performance displayed by MOFs is decided by an appropriate charge/radius ratio of defect metal sites, large enough solvent-accessible channels and Lewis base sites capable of polarizing substrate molecules. Herein, the solvothermal self-assembly led to a highly robust nanochannel-based framework of {·2DMF·5H2O}n (NUC-66) with a 56.8% void volume, which is a combination of a tetranuclear cluster (abbreviated as {In4}) and a conjugated tetracyclic pentacarboxylic acid ligand of 4,4'-(4-(4-carboxyphenyl)pyridine-2,6-diyl)diisophthalic acid (H5CPDD). To the best of our knowledge, NUC-66 is a rarely reported {In4}-based 3D framework with embedded hierarchical triangular-microporous (2.9 Å) and hexagonal-nanoporous (12.0 Å) channels, which are shaped by six rows of {In4} clusters. After solvent exchange and vacuum drying, the surface of nanochannels in desolvated NUC-66a is modified by unsaturated In3+ ions, Npyridine atoms and μ3-OH groups, all of which display polarization ability towards polar molecules due to their Lewis acidity or basicity. The catalytic experiments performed showed that NUC-66a had high catalytic activity in the cycloaddition reactions of epoxides with CO2 under mild conditions, which should be ascribed to its structural advantages including nanoscale channels, rich bifunctional active sites, large surface areas and chemical stability. Moreover, NUC-66a, as a heterogeneous catalyst, could greatly accelerate the Knoevenagel condensation reactions of aldehydes and malononitrile. Hence, this work confirms that the development of rigid nanoporous cluster-based MOFs built on metal ions with a high charge and large radius ratio will be more likely to realize practical applications, such as catalysis, adsorption and separation of gas, etc.",
    'Absolute quantification of dehydroacetic acid in processed foods using quantitative 1H NMR. An absolute quantification method for the determination of dehydroacetic acid in processed foods using quantitative (1)H NMR was developed and validated. The level of dehydroacetic acid was determined using the proton signals of dehydroacetic acid referenced to 1,4-bis (trimethylsilyl) benzene-d4 after simple solvent extraction from processed foods. All the recoveries from three processed foods spiked at two different concentrations were larger than 85%. The proposed method also proved to be precise, with inter-day precision and excellent linearity. The limit of quantification was confirmed as 0.13g/kg in processed foods, which is sufficiently low for the purposes of monitoring dehydroacetic acid. Furthermore, the method is rapid and easy to apply, and provides International System of Units traceability without the need for authentic analyte reference materials. Therefore, the proposed method is a useful and practical tool for determining the level of dehydroacetic acid in processed foods.',
]
embeddings = model.encode(sentences)
print(embeddings.shape)
# [3, 384]

# Get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]

Training Details

Training Dataset

Unnamed Dataset

  • Size: 137,221 training samples
  • Columns: anchor and positive
  • Approximate statistics based on the first 1000 samples:
    anchor positive
    type string string
    details
    • min: 6 tokens
    • mean: 23.82 tokens
    • max: 47 tokens
    • min: 27 tokens
    • mean: 281.43 tokens
    • max: 915 tokens
  • Samples:
    anchor positive
    How do menstrual-related factors, such as pain and cycle irregularity, impact the mental health and well-being of young women in educational settings? Determinants of premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University Southern, Ethiopia, 2023: institution-based cross-sectional study. BACKGROUND: Premenstrual dysphoric disorder (PMDD) is a condition causing severe emotional, physical, and behavioral symptoms before menstruation. It greatly hinders daily activities, affecting academic and interpersonal relationships. Attention is not given to premenstrual disorders among female students in higher education. As a result, students are susceptible to stress, and their academic success is influenced by various factors, including their menstrual cycle, and the long-term outcomes and consequences are poorly researched. Even though PMDD has a significant negative impact on student's academic achievement and success limited research has been conducted in low- and middle-income countries including Ethiopia, especially in the study setting. Therefore, a study is needed to assess premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University. METHODS: An institutional-based cross-sectional study was conducted among 374 regular undergraduate female students at Hawassa University, College of Medicine and Health Sciences. A self-administered structured premenstrual symptoms screening tool for adolescents was used to assess premenstrual dysphoric disorder. The collected data were loaded into a statistical package for the social science version 25 and analyzed using it. Both bivariate and multivariate logistic regression were used to identify factors associated with premenstrual dysphoric disorder. Each independent variable was entered separately into bivariate analysis, and a variable with a p-value less than 0.25 were included in the multivariate analysis to adjust the possible confounders. Statistically significant was declared at a 95% confidence interval when variable with a p-value less than 0.05 in the multivariate analysis with premenstrual dysphoric disorder. RESULTS: The magnitude of premenstrual dysphoric disorder in this study was 62.6% (95% CI 57.4-67.5). Having severe premenstrual pain (AOR = 6.44;95%CI 1.02-40.73), having irregular menstrual cycle (AOR = 2.21; 95% CI 1.32-3.70), students who had poor social support (AOR = 5.10;95%CI, (2.76-12.92) and moderate social support (AOR = 4.93;95%CI (2.18-11.18), and students who used contraception (AOR = 3.76;95%CI, 2.21-6,40) were statistically significant factors with the outcome variable. CONCLUSION: The prevalence of premenstrual dysphoric disorder was high as compared to other studies. There was a strong link between irregular menstrual cycle, severe menstrual pain (severe dysmenorrhea), poor social support, and contraception use with premenstrual dysphoric disorder. This needs early screening and intervention to prevent the complications and worsening of the symptoms that affect students' academic performance by the institution.
    How do sleep patterns influence cognitive function and learning in humans, and what are the broader implications for understanding neurological disorders? Neurochemical mechanisms for memory processing during sleep: basic findings in humans and neuropsychiatric implications. Sleep is essential for memory formation. Active systems consolidation maintains that memory traces that are initially stored in a transient store such as the hippocampus are gradually redistributed towards more permanent storage sites such as the cortex during sleep replay. The complementary synaptic homeostasis theory posits that weak memory traces are erased during sleep through a competitive down-selection mechanism, ensuring the brain's capability to learn new information. We discuss evidence from neuropharmacological experiments in humans to show how major neurotransmitters and neuromodulators are implicated in these memory processes. As to the major excitatory neurotransmitter glutamate that plays a prominent role in inducing synaptic consolidation, we show that these processes, while strengthening cortical memory traces during sleep, are insufficient to explain the consolidation of hippocampus-dependent declarative memories. In the inhibitory GABAergic system, we will offer insights how drugs may alter the intricate interplay of sleep oscillations that have been identified to be crucial for strengthening memories during sleep. Regarding the dopaminergic reward system, we will show how it is engaged during sleep replay, but that dopaminergic neuromodulation likely plays a side role for enhancing relevant memories during sleep. Also, we briefly go into basic evidence on acetylcholine and cortisol whose low tone during slow wave sleep (SWS) is crucial in supporting hippocampal-to-neocortical memory transmission. Finally, we will outline how these insights can be used to improve treatment of neuropsychiatric disorders focusing mainly on anxiety disorders, depression, and addiction that are strongly related to memory processing.
    What are the underlying physiological mechanisms by which elevated brain natriuretic peptide levels interact with heart rate variability to increase the likelihood of cardiovascular events? The Combination of Non-dipper Heart Rate and High Brain Natriuretic Peptide Predicts Cardiovascular Events: The Japan Morning Surge-Home Blood Pressure (J-HOP) Study. BACKGROUND: We hypothesized that the association between the dipping heart rate (HR) pattern and cardiovascular (CV) events differs according to the brain natriuretic peptide (BNP) level. METHODS: We examined a subgroup of 1,369 patients from the Japan Morning Surge Home Blood Pressure study; these were patients who had CV risk factors and had undergone ambulatory blood pressure (BP) monitoring. HR non-dipping status was defined as (awake HR - sleep HR)/awake HR <0.1, and high BNP was defined as ≥35 pg/ml. We divided the patients into four groups according to their HR dipper status (dipping or non-dipping) and BNP level (normal or high). RESULTS: The mean follow-up period was 60 ± 30 months. The primary endpoints were fatal/nonfatal CV events (myocardial infarction, angina pectoris, stroke, hospitalization for heart failure, and aortic dissection). During the follow-up period, 23 patients (2.8%) in the dipper HR with normal BNP group, 8 patients (4.4%) in the non-dipper HR with normal BNP group, 24 patients (9.5%) in the dipper HR with high-BNP group, and 25 patients (21.0%) in the non-dipper HR with high-BNP group suffered primary endpoints (log rank 78.8, P < 0.001). Non-dipper HR was revealed as an independent predictor of CV events (hazard ratio, 2.13; 95% confidence interval, 1.35-3.36; P = 0.001) after adjusting for age, gender and smoking, dyslipidemia, diabetes mellitus, chronic kidney disease, BNP, non-dipper BP, 24-h HR, and 24-h systolic blood pressure. CONCLUSIONS: The combination of non-dipper HR and higher BNP was associated with a higher incidence of CV events.
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Evaluation Dataset

Unnamed Dataset

  • Size: 15,247 evaluation samples
  • Columns: anchor and positive
  • Approximate statistics based on the first 1000 samples:
    anchor positive
    type string string
    details
    • min: 6 tokens
    • mean: 24.38 tokens
    • max: 46 tokens
    • min: 25 tokens
    • mean: 280.0 tokens
    • max: 866 tokens
  • Samples:
    anchor positive
    What are the underlying mechanisms by which electroporation enhances the immunogenicity of low-dose DNA vaccines, and what implications does this have for vaccine design and efficacy? Immunotherapeutic Effects of Different Doses of Mycobacterium tuberculosis ag85a/b DNA Vaccine Delivered by Electroporation. Background: Tuberculosis (TB) is a major global public health problem. New treatment methods on TB are urgently demanded. Methods: Ninety-six female BALB/c mice were challenged with 2×104 colony-forming units (CFUs) of MTB H37Rv through tail vein injection, then was treated with 10μg, 50μg, 100μg, and 200μg of Mycobacterium tuberculosis (MTB) ag85a/b chimeric DNA vaccine delivered by intramuscular injection (IM) and electroporation (EP), respectively. The immunotherapeutic effects were evaluated immunologically, bacteriologically, and pathologically. Results: Compared with the phosphate-buffered saline (PBS) group, the CD4+IFN-γ+ T cells% in whole blood from 200 μg DNA IM group and four DNA EP groups increased significantly (P<0.05), CD8+IFN-γ+ T cells% (in 200 μg DNA EP group), CD4+IL-4+ T cells% (50 μg DNA IM group) and CD8+IL-4+ T cells% (50 μg and 100 μg DNA IM group, 100 μg and 200 μg DNA EP group) increased significantly only in a few DNA groups (P< 0.05). The CD4+CD25+ Treg cells% decreased significantly in all DNA vaccine groups (P<0.01). Except for the 10 μg DNA IM group, the lung and spleen colony-forming units (CFUs) of the other seven DNA immunization groups decreased significantly (P<0.001, P<0.01), especially the 100 μg DNA IM group and 50 μg DNA EP group significantly reduced the pulmonary bacterial loads and lung lesions than the other DNA groups. Conclusions: An MTB ag85a/b chimeric DNA vaccine could induce Th1-type cellular immune reactions. DNA immunization by EP could improve the immunogenicity of the low-dose DNA vaccine, reduce DNA dose, and produce good immunotherapeutic effects on the mouse TB model, to provide the basis for the future human clinical trial of MTB ag85a/b chimeric DNA vaccine.
    What is known about prostate cancer screening in the UK Supporting informed decision making online in 20 minutes: an observational web-log study of a PSA test decision aid. BACKGROUND: Web-based decision aids are known to have an effect on knowledge, attitude, and behavior; important components of informed decision making. We know what decision aids achieve in randomized controlled trials (RCTs), but we still know very little about how they are used and how this relates to the informed decision making outcome measures. OBJECTIVE: To examine men's use of an online decision aid for prostate cancer screening using website transaction log files (web-logs), and to examine associations between usage and components of informed decision making. METHODS: We conducted an observational web-log analysis of users of an online decision aid, Prosdex. Men between 50 and 75 years of age were recruited for an associated RCT from 26 general practices across South Wales, United Kingdom. Men allocated to one arm of the RCT were included in the current study. Time and usage data were derived from website log files. Components of informed decision making were measured by an online questionnaire. RESULTS: Available for analysis were 82 web-logs. Overall, there was large variation in the use of Prosdex. The mean total time spent on the site was 20 minutes. The mean number of pages accessed was 32 (SD 21) out of a possible 60 pages. Significant associations were found between increased usage and increased knowledge (Spearman rank correlation [rho] = 0.69, P < .01), between increased usage and less favorable attitude towards PSA testing (rho = -0.52, P < .01), and between increased usage and reduced intention to undergo PSA testing (rho = -0.44, P < .01). A bimodal distribution identified two types of user: low access and high access users. CONCLUSIONS: Increased usage of Prosdex leads to more informed decision making, the key aim of the UK Prostate Cancer Risk Management Programme. However, developers realistically have roughly 20 minutes to provide useful information that will support informed decision making when the patient uses a web-based interface. Future decision aids need to be developed with this limitation in mind. We recommend that web-log analysis should be an integral part of online decision aid development and analysis. TRIAL REGISTRATION: ISRCTN48473735; http://www.controlled-trials.com/ISRCTN48473735 (Archived by WebCite at http://www.webcitation.org/5pqeF89tS).
    How does early life adiposity influence long-term cardiovascular health, and what are the implications for prevention and intervention strategies? Adiposity is associated with endothelial activation in healthy 2-3 year-old children. Adiposity is associated with C-reactive protein level in healthy 2-3 year-old children and with other markers of endothelial activation in adults, but data are lacking in very young children. Data from 491 healthy Hispanic children were analyzed. Mean age was 2.7 years (SD 0.5, range 2-3 years); mean body mass index (BMI) was 17.2 kg/m2 (SD 1.9) among boys and 17.1 kg/m2 (SD 2.1) among girls. E-selectin level was associated with BMI (R = 0.11; p < 0.02), ponderal index (p < 0.02), waist circumference (p = 0.02), fasting insulin (p < 0.02), and insulin resistance (p < or = 0.05); these associations remained significant after adjustment for age, sex and fasting glucose. sVCAM was also associated with BMI (R = 0.12; p < 0.05). These observations indicate that adiposity is associated with inflammation and endothelial activation in very early childhood.
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • eval_strategy: epoch
  • per_device_train_batch_size: 128
  • per_device_eval_batch_size: 16
  • learning_rate: 2e-05
  • weight_decay: 0.01
  • num_train_epochs: 5
  • warmup_ratio: 0.1
  • fp16: True
  • load_best_model_at_end: True
  • resume_from_checkpoint: True

All Hyperparameters

Click to expand
  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: epoch
  • prediction_loss_only: True
  • per_device_train_batch_size: 128
  • per_device_eval_batch_size: 16
  • per_gpu_train_batch_size: None
  • per_gpu_eval_batch_size: None
  • gradient_accumulation_steps: 1
  • eval_accumulation_steps: None
  • torch_empty_cache_steps: None
  • learning_rate: 2e-05
  • weight_decay: 0.01
  • adam_beta1: 0.9
  • adam_beta2: 0.999
  • adam_epsilon: 1e-08
  • max_grad_norm: 1.0
  • num_train_epochs: 5
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: {}
  • warmup_ratio: 0.1
  • warmup_steps: 0
  • log_level: passive
  • log_level_replica: warning
  • log_on_each_node: True
  • logging_nan_inf_filter: True
  • save_safetensors: True
  • save_on_each_node: False
  • save_only_model: False
  • restore_callback_states_from_checkpoint: False
  • no_cuda: False
  • use_cpu: False
  • use_mps_device: False
  • seed: 42
  • data_seed: None
  • jit_mode_eval: False
  • use_ipex: False
  • bf16: False
  • fp16: True
  • fp16_opt_level: O1
  • half_precision_backend: auto
  • bf16_full_eval: False
  • fp16_full_eval: False
  • tf32: None
  • local_rank: 0
  • ddp_backend: None
  • tpu_num_cores: None
  • tpu_metrics_debug: False
  • debug: []
  • dataloader_drop_last: False
  • dataloader_num_workers: 0
  • dataloader_prefetch_factor: None
  • past_index: -1
  • disable_tqdm: False
  • remove_unused_columns: True
  • label_names: None
  • load_best_model_at_end: True
  • ignore_data_skip: False
  • fsdp: []
  • fsdp_min_num_params: 0
  • fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
  • fsdp_transformer_layer_cls_to_wrap: None
  • accelerator_config: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
  • deepspeed: None
  • label_smoothing_factor: 0.0
  • optim: adamw_torch
  • optim_args: None
  • adafactor: False
  • group_by_length: False
  • length_column_name: length
  • ddp_find_unused_parameters: None
  • ddp_bucket_cap_mb: None
  • ddp_broadcast_buffers: False
  • dataloader_pin_memory: True
  • dataloader_persistent_workers: False
  • skip_memory_metrics: True
  • use_legacy_prediction_loop: False
  • push_to_hub: False
  • resume_from_checkpoint: True
  • hub_model_id: None
  • hub_strategy: every_save
  • hub_private_repo: False
  • hub_always_push: False
  • gradient_checkpointing: False
  • gradient_checkpointing_kwargs: None
  • include_inputs_for_metrics: False
  • eval_do_concat_batches: True
  • fp16_backend: auto
  • push_to_hub_model_id: None
  • push_to_hub_organization: None
  • mp_parameters:
  • auto_find_batch_size: False
  • full_determinism: False
  • torchdynamo: None
  • ray_scope: last
  • ddp_timeout: 1800
  • torch_compile: False
  • torch_compile_backend: None
  • torch_compile_mode: None
  • dispatch_batches: None
  • split_batches: None
  • include_tokens_per_second: False
  • include_num_input_tokens_seen: False
  • neftune_noise_alpha: None
  • optim_target_modules: None
  • batch_eval_metrics: False
  • eval_on_start: False
  • eval_use_gather_object: False
  • batch_sampler: batch_sampler
  • multi_dataset_batch_sampler: proportional

Training Logs

Epoch Step Training Loss Validation Loss
0.0932 100 0.3536 -
0.1864 200 0.227 -
0.2796 300 0.1599 -
0.3728 400 0.1448 -
0.4660 500 0.1276 -
0.5592 600 0.1187 -
0.6524 700 0.1191 -
0.7456 800 0.1082 -
0.8388 900 0.1026 -
0.9320 1000 0.0991 -
1.0 1073 - 0.0138
1.0252 1100 0.089 -
1.1184 1200 0.0759 -
1.2116 1300 0.0726 -
1.3048 1400 0.075 -
1.3979 1500 0.0732 -
1.4911 1600 0.07 -
1.5843 1700 0.0706 -
1.6775 1800 0.0708 -
1.7707 1900 0.0691 -
1.8639 2000 0.0713 -
1.9571 2100 0.0626 -
2.0 2146 - 0.0115
2.0503 2200 0.0564 -
2.1435 2300 0.0547 -
2.2367 2400 0.052 -
2.3299 2500 0.0491 -
2.4231 2600 0.0542 -
2.5163 2700 0.0506 -
2.6095 2800 0.0508 -
2.7027 2900 0.0493 -
2.7959 3000 0.0537 -
2.8891 3100 0.0499 -
2.9823 3200 0.0488 -
3.0 3219 - 0.0101
3.0755 3300 0.0444 -
3.1687 3400 0.0433 -
3.2619 3500 0.0425 -
3.3551 3600 0.0412 -
3.4483 3700 0.0451 -
3.5415 3800 0.0433 -
3.6347 3900 0.0429 -
3.7279 4000 0.0423 -
3.8211 4100 0.0445 -
3.9143 4200 0.0407 -
4.0 4292 - 0.0099
4.0075 4300 0.0415 -
4.1007 4400 0.0371 -
4.1938 4500 0.0376 -
4.2870 4600 0.037 -
4.3802 4700 0.0388 -
4.4734 4800 0.0352 -
4.5666 4900 0.0367 -
4.6598 5000 0.0377 -
4.7530 5100 0.0384 -
4.8462 5200 0.0355 -
4.9394 5300 0.0415 -
5.0 5365 - 0.0098

Framework Versions

  • Python: 3.12.2
  • Sentence Transformers: 3.2.1
  • Transformers: 4.44.2
  • PyTorch: 2.5.0
  • Accelerate: 1.0.1
  • Datasets: 3.0.2
  • Tokenizers: 0.19.1

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}
}