Relation Extraction using Explicit Context Conditioning

Relation Extraction (RE) aims to label relations between groups of marked entities in raw text. Most current RE models learn context-aware representations of the target entities that are then used to establish relation between them. This works well for intra-sentence RE and we call them first-order relations. However, this methodology can sometimes fail to capture complex and long dependencies. To address this, we hypothesize that at times two target entities can be explicitly connected via a context token. We refer to such indirect relations as second-order relations and describe an efficient implementation for computing them. These second-order relation scores are then combined with first-order relation scores. Our empirical results show that the proposed method leads to state-of-the-art performance over two biomedical datasets.Comment: Accepted for Publication at NAACL 201

Intrathecal Drug Delivery (ITDD) systems for cancer pain

Intrathecal drug delivery is an effective pain management option for patients with chronic and cancer pain. The delivery of drugs into the intrathecal space provides superior analgesia with smaller doses of analgesics to minimize side effects while significantly improving quality of life. This article aims to provide a general overview of the use of intrathecal drug delivery to manage pain, dosing recommendations, potential risks and complications, and growing trends in the field

Primary Tuberculosis of the Breast Manifested as Abscess: a Rare Case Report

Primary breast tuberculosis is a rare entity. We are reporting a case of primary breast tuberculosis, which presented as breast abscess. On histopathology, it was diagnosed as breast tuberculosis. Aspiration cytology was not done due breast abscess. Patient was put on anti-tubercular drugs. In follow up, after 3 months patient condition was improved. Key words: breast, abscess, tuberculosis, conservative treatment

Evaluation of contact spermicidal potential of Lantana camara leaf extracts on human spermatozooa

Background: The Present study was designed to evaluate the spermicidal potential of various Lantana camara leaf extracts on healthy human spermatozoa.Methods: Four different extracts viz. Petroleum ether, Chloroform, Methanol and Water were prepared and diluted to various concentrations. These were then treated with suitably diluted human semen samples. Various parameters like sperm motility, sperm viability, sperm count, hypoosmotic swelling, acrosomal status and function were noted.Results: The results showed that methanolic and aqueous extracts possessed maximum spermicidal potential in terms of above mentioned sperm health and function parameters. Therefore, methanolic and aqueous extracts were further studied for In-vitro evaluation of pro-oxidant activity by detection of ROS generation using fluorescent probe detection method.Conclusions: The results revealed that both methanolic and aqueous extracts of Lantana camara possessed pro-oxidant potential which could be attributed for its observed contact spermicidal activity

Effect of epidural volume extension with colloid on dose requirement for intrathecal spinal block: a double blind prospective study

Background: Epidural volume extension (EVE) is a modification of combined- spinal epidural anaesthesia (CSEA) in which fluid is injected in epidural space after the intrathecal block. Fluid in epidural space compress subarachnoid space and causes cephalic spread of intrathecal drug to increase block height. Purpose of study is to determine efficacy of EVE on dose requirement of intrathecal bupivacaine when colloid was used for EVE.Methods: Sixty patients of ASA physical status I or II, scheduled for elective caesarean sections were recruited and randomized into two groups (30 each group). Group 1: CSEA in which spinal block is followed by 10 ml Colloid (HES 6%) in epidural space; Group 2: CSEA but no fluid in epidural space. Onset of sensory block and hemodynamic variables were measured at 5 min. intervals up to 40 minutes then at 10 min. intervals till end of surgery. Ineffective block was top- up by epidural 0.5% bupivacaine in incremental doses.Results: Median effective dose of intrathecal bupivacaine was significantly lower, 4.0 mg (95% CI 4.40-5.60) in group 1 versus 7.0 mg (95% CI 6.93-7.61) in group 2. Only 11 patients required ephedrine in group 1 versus 20 in group 2. Requirement of ephedrine was significantly lower 2.20 (±2.94) mg in group 1 versus 4.0 (±2.88) mg groups 2. Changes in haemodynamic variables from baseline were significantly lower in group 1 than those in group 2.Conclusions: EVE with colloid was effective in lowering dose requirement of spinal bupivacaine while patients hemodynamically were more stable.

Cytotoxicity models of Huntington's disease and relevance of hormetic mechanisms: A critical assessment of experimental approaches and strategies.

Abstract This paper assesses in vivo cytotoxicity models of Huntington's disease (HD). Nearly 150 agents were found to be moderately to highly effective in mitigating the pathological sequelae of cytotoxic induction of HD features in multiple rodent models. Typically, rodents are treated with a prospective HD-protective agent before, during, or after the application of a chemical or transgenic process for inducing histopathological and behavioral symptoms of HD. Although transgenic and knockout rodent models (1) display relatively high construct and face validity, and (2) are ever more routinely employed to mimic genetic-to-phenotypic expression of HD features, toxicant models are also often employed, and have served as valuable test beds for the elucidation of biochemical processes and discovery of therapeutic targets in HD. Literature searches of the toxicant HD rodent models yielded nearly 150 agents that were moderately to highly effective in mitigating pathological sequelae in multiple mouse and rat HD models. Experimental models, study designs, and exposure protocols (e.g., pre- and post-conditioning) used in testing these agents were assessed, including dosing strategies, endpoints, and dose-response features. Hormetic-like biphasic dose responses, chemoprotective mechanisms, and the translational relevance of the preclinical studies and their therapeutic implications are critically analyzed in the present report. Notably, not one of the 150 agents that successfully delayed onset and progression of HD in the experimental models has been successfully translated to the treatment of humans in a clinical setting. Potential reasons for these translational failures are (1) the inadequacy of dose-response analyses and subsequent lack of useful dosing data; (2) effective rodent doses that are too high for safe human application; (3) key differences between the experimental models and humans in pharmacokinetic/pharmacodynamic features, ages and routes of agent administration; (4) lack of robust pharmacokinetic, mechanistic or systematic approaches to probe novel treatment strategies; and (5) inadequacies of the chemically induced HD model in rats to mimic accurately the complex genetic and developmental origin and progression of HD in humans. These deficiencies need to be urgently addressed if pharmaceutical agents for the treatment of HD are going to be successfully developed in experimental models and translated with fidelity to the clinic

Functional Architectures of Local and Distal Regulation of Gene Expression in Multiple Human Tissues

Genetic variants that modulate gene expression levels play an important role in the etiology of human diseases and complex traits. Although large-scale eQTL mapping studies routinely identify many local eQTLs, the molecular mechanisms by which genetic variants regulate expression remain unclear, particularly for distal eQTLs, which these studies are not well powered to detect. Here, we leveraged all variants (not just those that pass stringent significance thresholds) to analyze the functional architecture of local and distal regulation of gene expression in 15 human tissues by employing an extension of stratified LD-score regression that produces robust results in simulations. The top enriched functional categories in local regulation of peripheral-blood gene expression included coding regions (11.41×), conserved regions (4.67×), and four histone marks (p < 5 × 10 -5 for all enrichments); local enrichments were similar across the 15 tissues. We also observed substantial enrichments for distal regulation of peripheral-blood gene expression: coding regions (4.47×), conserved regions (4.51×), and two histone marks (p < 3 × 10 -7 for all enrichments). Analyses of the genetic correlation of gene expression across tissues confirmed that local regulation of gene expression is largely shared across tissues but that distal regulation is highly tissue specific. Our results elucidate the functional components of the genetic architecture of local and distal regulation of gene expression

An Approach to Binary Classification of Alzheimer’s Disease Using LSTM

In this study, we use LSTM (Long-Short-Term-Memory) networks to evaluate Magnetic Resonance Imaging (MRI) data to overcome the shortcomings of conventional Alzheimer’s disease (AD) detection techniques. Our method offers greater reliability and accuracy in predicting the possibility of AD, in contrast to cognitive testing and brain structure analyses. We used an MRI dataset that we downloaded from the Kaggle source to train our LSTM network. Utilizing the temporal memory characteristics of LSTMs, the network was created to efficiently capture and evaluate the sequential patterns inherent in MRI scans. Our model scored a remarkable AUC of 0.97 and an accuracy of 98.62%. During the training process, we used Stratified Shuffle-Split Cross Validation to make sure that our findings were reliable and generalizable. Our study adds significantly to the body of knowledge by demonstrating the potential of LSTM networks in the specific field of AD prediction and extending the variety of methods investigated for image classification in AD research. We have also designed a user-friendly Web-based application to help with the accessibility of our developed model, bridging the gap between research and actual deployment