gebhart/patrepeval huggingface dataset:
A Descriptive Study to Assess the Prevalence of Knee Pain and Providing Need-Based Interventions Among Women (Above 40 Years) Residing in Selected Urban and Rural Areas of Roopnagar District (Punjab) (2018)

Introduction: Health is general condition of person’s mind, body and spirit, usually meaning to be free from illness, injury or pain. Knee pain is a major health problem in India that causes considerable disability and impact on quality of life. Knee pain is common musculoskeletal problem in women and its prevalence increases with age, which includes mainly the knee joint, ligaments and cartilage. It is well known that our body undergoes changes throughout the life and that changes include impairment of the body systems with growing age. Nowadays more women present with chief complaint of knee pain to hospitals, that’s why researcher choose this topic for study. Objectives: (1) To assess the prevalence of knee pain among women. (2) To provide the need-based interventions among women. (3) To find out the association between prevalence of knee pain and selected socio-demographic variable of women. Methods: A nonexperimental quantitative research approach and descriptive research design was adopted to conduct the research study. Convenience sampling technique was used to collect the data. Tool used for the present study were sociodemographic data sheet, new modified knee pain scoring and mobility assessment scale for daily living activities. Data collection was done by using new modified oxford knee pain scale mobility assessment scale to assess the activity of daily living and provide need-based interventions to women according to their need. Results: The present study showed that 128 (64%) study subjects had moderate knee pain, 50 (25%) had mild knee pain, only 12 (6%) had severe knee pain whereas 10 subjects had no knee pain. About 102 (51%) subjects had severe problems in activities of daily living, 56 (28%) had moderate problem, 35 (17.5%) had mild problem and only seven (3.5) subjects had no problem in daily activities. Need-based interventions were performed for the subjects at time of data collection and after one month again data were collected from subjects to check the effectiveness of interventions. Results showed that exercises (25.2%) is the most effective intervention in knee pain followed by health education (24.2%) followed by hot and cold application (21.0%); whereas among 16.8% subjects lifestyle changes can help to reduce knee pain whereas 11.5% subjects required changes in the dietary pattern.
High-Quality Alloyed CdS<i><sub>x</sub></i>Se<sub>1-</sub><i><sub>x</sub></i> Whiskers as Waveguides with Tunable Stimulated Emission (2006)

High-quality ultra-long alloyed CdS(x)Se(1)(-)(x) (0 < or = x < or = 1) whiskers were obtained by a simple thermal evaporation route. The near band-edge emission in these whiskers can be effectively guided at the sub-millimeter scale under continuous-wave laser excitation. As good optical waveguide cavities, the whiskers exhibit stimulated emissions under pulsed light excitation at room temperature for all compositions 0 < or = x < or = 1. The spectral positions of the sharp emission lines of the whiskers were tuned by their compositions, covering the spectral range from green to red.
Epigallocatechin-3-gallate ameliorates lipopolysaccharide-induced acute lung injury by suppression of TLR4/NF-κB signaling activation (2019)

Acute lung injury (ALI) is a serious clinical syndrome with a high rate of mortality. The activation of inflammation is well-recognized as a vital factor in the pathogenesis of lipopolysaccharide (LPS)-induced ALI. Therefore, suppression of the inflammatory response could be an ideal strategy to prevent ALI. Epigallocatechin-3-gallate (EGCG), mainly from green tea, has been shown to have an anti-inflammatory effect. The aim of the study was to explore whether EGCG alleviates inflammation in sepsis-related ALI. Male BALB/C mice were treated with EGCG (10 mg/kg) intraperitoneally (ip) 1 h before LPS injection (10 mg/kg, ip). The results showed that EGCG attenuated LPS-induced ALI as it decreased the changes in blood gases and reduced the histological lesions, wet-to-dry weight ratios, and myeloperoxidase (MPO) activity. In addition, EGCG significantly decreased the expression of pro-inflammatory cytokines tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6 in the lung, serum, and bronchoalveolar lavage fluid, and alleviated the expression of TLR-4, MyD88, TRIF, and p-p65 in the lung tissue. In addition, it increased the expression of IκB-α and had no influence on the expression of p65. Collectively, these results demonstrated the protective effects of EGCG against LPS-induced ALI in mice through its anti-inflammatory effect that may be attributed to the suppression of the activation of TLR 4-dependent NF-κB signaling pathways.
Retinoic acid causes a decline in TGF-alpha expression, cloning efficiency, and tumorigenicity in a human embryonal cancer cell line. (1990)

The human teratocarcinoma NTERA-2 cl. D1 (NT2/D1) cell is a cloned multipotential embryonal cancer cell line that differentiates into a neuronal phenotype and other cellular lineages with retinoic acid (RA) treatment. Here we report that mRNA for the transforming growth factor-alpha is expressed in these RA-untreated cells and that RA-treatment results in a reduction of mRNA expression within 24 hr of treatment. In total cellular RNA, TGF-alpha mRNA is not detectable by Northern analysis at 6 days when there is increased expression of the human homeotic genes Hu-1 (Hox 2.1) and Hu-2 (Hox 2.2), known markers of RA response in NT2/D1 cells. RA treatment also causes a marked reduction in cloning efficiency and tumorigenicity of these cells. The addition of TGF-alpha or EGF (epidermal growth factor) protein to RA-untreated NT2/D1 cells augments soft agar cloning under limited fetal calf serum conditions. Blocking monoclonal antibodies directed against the EGF receptor (EGFr) can prevent this augmentation. We conclude that TGF-alpha expression inversely correlates with the state of RA-induced differentiation of this human teratocarcinoma cell and that TGF-alpha and EGF proteins are stimulatory growth factors in NT2/D1 cells under these culture conditions.
Self-Fitting Hearing Aids (2016)

A self-contained, self-fitting hearing aid (SFHA) is a device that enables the user to perform both threshold measurements leading to a prescribed hearing aid setting and fine-tuning, without the need for audiological support or access to other equipment. The SFHA has been proposed as a potential solution to address unmet hearing health care in developing countries and remote locations in the developed world and is considered a means to lower cost and increase uptake of hearing aids in developed countries. This article reviews the status of the SFHA and the evidence for its feasibility and challenges and predicts where it is heading. Devices that can be considered partly or fully self-fitting without audiological support were identified in the direct-to-consumer market. None of these devices are considered self-contained as they require access to other hardware such as a proprietary interface, computer, smartphone, or tablet for manipulation. While there is evidence that self-administered fitting processes can provide valid and reliable results, their success relies on user-friendly device designs and interfaces and easy-to-interpret instructions. Until these issues have been sufficiently addressed, optional assistance with the self-fitting process and on-going use of SFHAs is recommended. Affordability and a sustainable delivery system remain additional challenges for the SFHA in developing countries. Future predictions include a growth in self-fitting products, with most future SFHAs consisting of earpieces that connect wirelessly with a smartphone and providers offering assistance through a telehealth infrastructure, and the integration of SFHAs into the traditional hearing health-care model.
Exploring Personalized Travel Route Using POIs (2014)

The development of travel industry gradually fosters personalized requirements of tourists, such as setting the start place, exploiting interesting activities and organizing the travel route. In this paper, we take advantage of two online websites to collect information of both scenic spots and real-world local activities, and we proposed three rule-based methods to recommend travel routes for tourists, which can take their instant location into account and satisfy their personalized demands. Specifically, we extract scenery spots dataset from Flickr and popular activities from Douban-Event in line with the visiting city and date. Then we process these items and take the filtering results as the recommendation candidates. Finally based on popularity and geographical location of these venues/activities, we focus on arranging a colorful travel route, which covers not only the everlasting scenic spots, but also some temporary activities. We evaluate the quality of travel routes produced by our recommendation approaches with an alternative plan suggested by a professional travel site. The results justify the advantages of our approaches over the baseline method provided by travel experts.
High-Volume Hypothesis Testing (2016)

Cohort comparison studies have traditionally been hypothesis driven and conducted in carefully controlled environments (such as clinical trials). Given two groups of event sequence data, researchers test a single hypothesis (e.g., does the group taking Medication A exhibit more deaths than the group taking Medication B?). Recently, however, researchers have been moving toward more exploratory methods of retrospective analysis with existing data. In this article, we begin by showing that the task of cohort comparison is specific enough to support automatic computation against a bounded set of potential questions and objectives, a method that we refer to as High-Volume Hypothesis Testing (HVHT). From this starting point, we demonstrate that the diversity of these objectives, both across and within different domains, as well as the inherent complexities of real-world datasets, still requires human involvement to determine meaningful insights. We explore how visualization and interaction better support the task of exploratory data analysis and the understanding of HVHT results (how significant they are, why they are meaningful, and whether the entire dataset has been exhaustively explored). Through interviews and case studies with domain experts, we iteratively design and implement visualization and interaction techniques in a visual analytics tool, CoCo. As a result of our evaluation, we propose six design guidelines for enabling users to explore large result sets of HVHT systematically and flexibly in order to glean meaningful insights more quickly. Finally, we illustrate the utility of this method with three case studies in the medical domain.
High-resolution chemical shift and chemical shift anisotropy correlation in solids using slow magic angle spinning (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTHigh-resolution chemical shift and chemical shift anisotropy correlation in solids using slow magic angle spinningZhehong GanCite this: J. Am. Chem. Soc. 1992, 114, 21, 8307–8309Publication Date (Print):October 1, 1992Publication History Published online1 May 2002Published inissue 1 October 1992https://pubs.acs.org/doi/10.1021/ja00047a062https://doi.org/10.1021/ja00047a062research-articleACS PublicationsRequest reuse permissionsArticle Views754Altmetric-Citations209LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Instrumented climbing holds and performance analysis in sport climbing (2008)

In three different events (national climbing Championship, sport climbing world cup, and training session), one hold was instrumented with two 3‐D force transducers. Subsequently, the mechanical parameters of climbing were defined and analyzed, and the force vector diagrams visualized for quantification of performance. The more experienced a climber is, the smaller the contact force, the shorter the contact time, the smaller the impulse, the better the smoothness factor, the higher the friction coefficient, the more continuous the movement of the center of pressure (in specific holds), and the smaller the Hausdorff dimension (less chaotic force time graph). The Hausdorff dimension correlates highly with all other parameters and with the appearance of the vector diagrams, and is thus suited to serve as the most important performance parameter. Training improves the mechanical parameters. The measurement and analysis of mechanical parameters and their visualization in terms of force vector diagrams are a useful tool for quantifying the performance of a climber on a specific instrumented hold.
Gain characteristics of strained quantum well lasers (1990)

InGaAs/AlGaAs laser diode arrays fabricated with differing amounts of In in the quantum well active layer are characterized by threshold currents of 115 A/cm2, transparency currents of 50 A/cm2, optical losses of 3 cm−1, and wavelengths to 960 nm for In compositions of 20%. Gain coefficient measurements indicate an increase from 0.0535 to 0.0691 cm μm/A for quantum well lasers with 0% InAs and 10–20% InAs, respectively. The maximum output power achieved for a device with a 100 μm aperture is 3 W cw.
ZnFe2O4 nanoparticles dispersed in a highly porous silica aerogel matrix: a magnetic study (2014)

We report the detailed structural characterization and magnetic investigation of nanocrystalline zinc ferrite nanoparticles supported on a silica aerogel porous matrix which differ in size (in the range 4-11 nm) and the inversion degree (from 0.4 to 0.2) as compared to bulk zinc ferrite which has a normal spinel structure. The samples were investigated by zero-field-cooling-field-cooling, thermo-remnant DC magnetization measurements, AC magnetization investigation and Mössbauer spectroscopy. The nanocomposites are superparamagnetic at room temperature; the temperature of the superparamagnetic transition in the samples decreases with the particle size and therefore it is mainly determined by the inversion degree rather than by the particle size, which would give an opposite effect on the blocking temperature. The contribution of particle interaction to the magnetic behavior of the nanocomposites decreases significantly in the sample with the largest particle size. The values of the anisotropy constant give evidence that the anisotropy constant decreases upon increasing the particle size of the samples. All these results clearly indicate that, even when dispersed with low concentration in a non-magnetic and highly porous and insulating matrix, the zinc ferrite nanoparticles show a magnetic behavior similar to that displayed when they are unsupported or dispersed in a similar but denser matrix, and with higher loading. The effective anisotropy measured for our samples appears to be systematically higher than that measured for supported zinc ferrite nanoparticles of similar size, indicating that this effect probably occurs as a consequence of the high inversion degree.
Identification of Reference Genes across Physiological States for qRT-PCR through Microarray Meta-Analysis (2011)

Based on microarray meta-analysis of human clinical sample arrays, we identified sets of reference gene candidates for various organ/tissue types and then examined the functions of these genes. Additionally, we found that many of the reference genes are functionally related to transcription, RNA processing and translation. According to our results, researchers could select single or multiple reference gene(s) for normalization of qRT-PCR in clinical studies.
N-ary Relation Extraction using Graph-State LSTM (2018)

Cross-sentence n-ary relation extraction detects relations among n entities across multiple sentences. Typical methods formulate an input as a document graph, integrating various intra-sentential and inter-sentential dependencies. The current state-of-the-art method splits the input graph into two DAGs, adopting a DAG-structured LSTM for each. Though being able to model rich linguistic knowledge by leveraging graph edges, important information can be lost in the splitting procedure. We propose a graph-state LSTM model, which uses a parallel state to model each word, recurrently enriching state values via message passing. Compared with DAG LSTMs, our graph LSTM keeps the original graph structure, and speeds up computation by allowing more parallelization. On a standard benchmark, our model shows the best result in the literature.
Contributions of discrete tRNA<sup>Ser</sup>domains to aminoacylation by<i>E.coli</i>seryl-tRNA synthetase: a kinetic analysis using model RNA substrates (1993)

The aminoacylation kinetics of T7 transcripts representing defined regions of Escherichia coli serine tRNAs were determined using purified E.coli seryl-tRNA synthetase (SerRS) and the kinetic values were used to estimate the relative contribution of various tRNA(Ser) domains to recognition by SerRS. The analysis revealed that the extra stem/loop structure, characteristic of type II tRNAs such as tRNA(Ser), is the domain which makes the largest contribution to kcat/Km of aminoacylation. Moreover, Km of aminoacylation was increased by a factor of about 1000 when the extra stem/loop was changed to the consensus sequence of type I tRNA extra loops indicating that the stem structure contributes significantly to the binding of tRNA(Ser) to SerRS. A model RNA, which represents only the tRNA(Ser) coaxial acceptor-T psi C stem/loop domain, was also specifically aminoacylated by SerRS having a kcat/Km about 1000-fold greater than background levels. A significant portion of the contribution of this domain to aminoacylation is attributable to the acceptor stem sequence making the acceptor stem the second most important domain for recognition by SerRS. Finally, kcat/Km was essentially unchanged when the entire anticodon stem/loop of tRNA(Ser) was deleted indicating that neither the anticodon nucleotides nor the surrounding stem/loop structure are important for recognition by SerRS.
The Anatomy and Physiology of the Sinoatrial Node-A Contemporary Review (2010)

The sinoatrial node is the primary pacemaker of the heart. Nodal dysfunction with aging, heart failure, atrial fibrillation, and even endurance athletic training can lead to a wide variety of pathological clinical syndromes. Recent work utilizing molecular markers to map the extent of the node, along with the delineation of a novel paranodal area intermediate in characteristics between the node and the surrounding atrial muscle, has shown that pacemaker tissue is more widely spread in the right atrium than previously appreciated. This can explain the phenomenon of a "wandering pacemaker" and concomitant changes in the P-wave morphology. Extensive knowledge now exists regarding the molecular architecture of the node (in particular, the expression of ion channels) and how this relates to pacemaking. This review is an up-to-date summary of the current state of our appreciation of the above topics.
Current Immunotherapeutic Strategies to Enhance Oncolytic Virotherapy (2017)

Oncolytic viruses (OV) represent a promising strategy to augment the spectrum of cancer therapeutics. For efficacy, they rely on two general mechanisms: tumor-specific infection/cell-killing, followed by subsequent activation of the host's adaptive immune response. Numerous OV genera have been utilized in clinical trials, ultimately culminating in the 2015 Food and Drug Administration approval of a genetically engineered herpes virus, Talminogene laherparepvec (T-VEC). It is generally accepted that OV as monotherapy have only modest clinical efficacy. However, due to their ability to elicit specific antitumor immune responses, they are prime candidates to be paired with other immune-modulating strategies in order to optimize therapeutic efficacy. Synergistic strategies to enhance the efficacy of OV include augmenting the host antitumor response through the insertion of therapeutic transgenes such as GM-CSF, utilization of the prime-boost strategy, and combining OV with immune-modulatory drugs such as cyclophosphamide, sunitinib, and immune checkpoint inhibitors. This review provides an overview of these immune-based strategies to improve the clinical efficacy of oncolytic virotherapy.
A Study of the Masks for the Carnival Festivals (2009)

Carnival is an allowed chance to express ordinarily suppressed and overlooked emotions. Especially with strong meaning of daily overthrow masks, masquerades, and mask-costumes are essential for expressing methods and festival personality reasons. Carnival in modern society without losing a significant portion religion in a format suitable for the era of secularization and the transformation has been created of nothing, that is not a reflection of society is also a cultural phenomenon of its own internal social and external conditions through a variety of means can analogy cultural phenomenon is a stage. The purpose of this research comes from the carnival festivities, religious background, but the daily routine of life to know who joined his escape with the conduction of the role, going to enjoy the satire and humor, using the Dress to the eruption, which means that the form of the festival variety of analysis and with the victory of the expression of cultural phenomena and features on the festival and the dress for you should you wish to study.
Starter sequence for steady‐state free precession imaging (2005)

The dynamic equilibrium exploited by balanced steady-state free precession imaging develops slowly because its formation is dependent on both spin-spin and spin-lattice relaxation times. Attempting to image before steady state is established results in artifacts due to transient signal oscillations. Using a starter sequence to precondition the spin system can significantly reduce the delay before imaging. An improved design for a steady-state starter sequence is presented. The new sequence has the advantage of uniformly exciting the steady-state response for all resonance offsets and can be phase cycled to suppress banding artifacts.