Interactive Malayalam Question Answering System: A Neural Word Embedding And Similarity Measure Based Approach.

This innovative system operates as an automated, domain-specific knowledge repository designed specifically to furnish reliable Malayalam responses to inquiries pertaining to COVID-19. Leveraging advanced Natural Language Processing (NLP) algorithms, both Malayalam documents and questions undergo meticulous processing. The semantic modelling and document conversion stages employ the Word Embedding approach, specifically Continuous Bag of Words (CBOW), to enhance the system's understanding of the language nuances. Subsequently, the retrieved results for a given query are meticulously ranked using the cosine similarity measure, ensuring that the most relevant and accurate information is presented to the user. Integral to the system's efficacy is our proprietary Malayalam question-answering dataset. This dataset has been meticulously curated, drawing from reliable and publicly accessible sources related to COVID-19. It serves as the foundation for experimentation, reflecting the system's ability to provide accurate responses. The system's performance is quantified using the F1 score, a metric that combines precision and recall, yielding a comprehensive evaluation. In our experimentation, the F1 score of the Semantic Malayalam Question-Answering System is found to be 76%, attesting to its robustness and effectiveness in delivering trustworthy information in the Malayalam language within the context of COVID-19

First report on incidence of inflorescence blight and pod rot (Choanephora infundibulifera) on dolichos bean (Dolichos lablab, L.) and yard long beanin (Vignaunguiculata sub sp. sesquipedalis) India

Inflorescence blight and pod rot caused by Choanephorasp. were recorded in two major vegetable crops viz.dolichos bean and yard long bean at a very high degree of severity. Usually, the disease occurs in mild proportions without causing economic loss during rainy season in Kerala (June to September) affecting vegetable crops like cowpea and bhendi. However, during the year 2016, the disease was noticed with a very high severity of more than 90 per cent on two crops grown at two different locations in Thrissur district of Kerala during October to January. None of the commonly used fungicides could control the disease. The pathogen was found to be luxuriantly growing on the inflorescences of dolichos bean and on the fruits of yard long bean. The first incidence of the disease was recorded during the last week of October, 2016. The disease spread was almost cent per cent on susceptible genotypes of dolichos bean and more than 90 per cent in variety ‘Vaijayanthi’ of yard long bean. A study was conducted exploring the pre disposing factors leading to the occurrence of the disease in epidemic proportions.Meteorological factors affecting the disease were studied and it was found that there is positive correlation of the disease severity with increasing atmospheric temperature and rainfall.Atmospheric temperature more than 30oC along with high humidity and rain fall during the preceding week are found to be the major pre disposing factors lead to the epidemic in both the crops. The pathogen was isolated and based on morphological characters, identified as Choanephora sp. Pathogenicity was proved by inoculation on healthy inflorescence stalks.Molecular characterization of the pathogen confirmed the identity as Choanephora infundibulifera. This is the first report of the pathogen on dolichos bean and yard long bean in India

DIGITIZATION OF EDUCATION AND ITS SOCIO-ECONOMIC IMPACTS WITH SPECIAL REFERENCE TO TRIVANDRUM

This study is makes a comparative analysis of the rural-urban divide in digital education and examines the benefits and challenges of e-learning. A total of 124 respondents consisting of students, teachers and parents residing in the rural and urban areas of Trivandrum were surveyed using a well-structured questionnaire administered in both English and Malayalam. The sample population was identified through stratified random sampling. The study finds that disruption of internet connectivity due to signal unavailability is a major challenge of e-learning. Also, majority of the stakeholders were unwilling to make a conscious shift to a digitised education mode. Mostly students favoured online education because of its ease of usage, convenience, remote accessibility and system response speed. But most of the parents and teachers preferred offline education

Development of ClearPEM-Sonic, a multimodal mammography system for PET and Ultrasound

International audience; ClearPEM-Sonic is an innovative imaging device specifically developed for breast cancer. The possibility to work in PEM-Ultrasound multimodality allows to obtain metabolic and morphological information increasing the specificity of the exam. The ClearPEM detector is developed to maximize the sensitivity and the spatial resolution as compared to Whole-Body PET scanners. It is coupled with a 3D ultrasound system, the SuperSonic Imagine Aixplorer that improves the specificity of the exam by providing a tissue elasticity map. This work describes the ClearPEM-Sonic project focusing on the technological developments it has required, the technical merits (and limits) and the first multimodal images acquired on a dedicated phantom. It finally presents selected clinical case studies that confirm the value of PEM information

Prediction of overall survival for patients with metastatic castration-resistant prostate cancer : development of a prognostic model through a crowdsourced challenge with open clinical trial data

Background Improvements to prognostic models in metastatic castration-resistant prostate cancer have the potential to augment clinical trial design and guide treatment strategies. In partnership with Project Data Sphere, a not-for-profit initiative allowing data from cancer clinical trials to be shared broadly with researchers, we designed an open-data, crowdsourced, DREAM (Dialogue for Reverse Engineering Assessments and Methods) challenge to not only identify a better prognostic model for prediction of survival in patients with metastatic castration-resistant prostate cancer but also engage a community of international data scientists to study this disease. Methods Data from the comparator arms of four phase 3 clinical trials in first-line metastatic castration-resistant prostate cancer were obtained from Project Data Sphere, comprising 476 patients treated with docetaxel and prednisone from the ASCENT2 trial, 526 patients treated with docetaxel, prednisone, and placebo in the MAINSAIL trial, 598 patients treated with docetaxel, prednisone or prednisolone, and placebo in the VENICE trial, and 470 patients treated with docetaxel and placebo in the ENTHUSE 33 trial. Datasets consisting of more than 150 clinical variables were curated centrally, including demographics, laboratory values, medical history, lesion sites, and previous treatments. Data from ASCENT2, MAINSAIL, and VENICE were released publicly to be used as training data to predict the outcome of interest-namely, overall survival. Clinical data were also released for ENTHUSE 33, but data for outcome variables (overall survival and event status) were hidden from the challenge participants so that ENTHUSE 33 could be used for independent validation. Methods were evaluated using the integrated time-dependent area under the curve (iAUC). The reference model, based on eight clinical variables and a penalised Cox proportional-hazards model, was used to compare method performance. Further validation was done using data from a fifth trial-ENTHUSE M1-in which 266 patients with metastatic castration-resistant prostate cancer were treated with placebo alone. Findings 50 independent methods were developed to predict overall survival and were evaluated through the DREAM challenge. The top performer was based on an ensemble of penalised Cox regression models (ePCR), which uniquely identified predictive interaction effects with immune biomarkers and markers of hepatic and renal function. Overall, ePCR outperformed all other methods (iAUC 0.791; Bayes factor >5) and surpassed the reference model (iAUC 0.743; Bayes factor >20). Both the ePCR model and reference models stratified patients in the ENTHUSE 33 trial into high-risk and low-risk groups with significantly different overall survival (ePCR: hazard ratio 3.32, 95% CI 2.39-4.62, p Interpretation Novel prognostic factors were delineated, and the assessment of 50 methods developed by independent international teams establishes a benchmark for development of methods in the future. The results of this effort show that data-sharing, when combined with a crowdsourced challenge, is a robust and powerful framework to develop new prognostic models in advanced prostate cancer.Peer reviewe

Increasing frailty is associated with higher prevalence and reduced recognition of delirium in older hospitalised inpatients: results of a multi-centre study

Purpose: Delirium is a neuropsychiatric disorder delineated by an acute change in cognition, attention, and consciousness. It is common, particularly in older adults, but poorly recognised. Frailty is the accumulation of deficits conferring an increased risk of adverse outcomes. We set out to determine how severity of frailty, as measured using the CFS, affected delirium rates, and recognition in hospitalised older people in the United Kingdom. Methods: Adults over 65 years were included in an observational multi-centre audit across UK hospitals, two prospective rounds, and one retrospective note review. Clinical Frailty Scale (CFS), delirium status, and 30-day outcomes were recorded. Results: The overall prevalence of delirium was 16.3% (483). Patients with delirium were more frail than patients without delirium (median CFS 6 vs 4). The risk of delirium was greater with increasing frailty [OR 2.9 (1.8–4.6) in CFS 4 vs 1–3; OR 12.4 (6.2–24.5) in CFS 8 vs 1–3]. Higher CFS was associated with reduced recognition of delirium (OR of 0.7 (0.3–1.9) in CFS 4 compared to 0.2 (0.1–0.7) in CFS 8). These risks were both independent of age and dementia. Conclusion: We have demonstrated an incremental increase in risk of delirium with increasing frailty. This has important clinical implications, suggesting that frailty may provide a more nuanced measure of vulnerability to delirium and poor outcomes. However, the most frail patients are least likely to have their delirium diagnosed and there is a significant lack of research into the underlying pathophysiology of both of these common geriatric syndromes

Preliminary sceening of indigenous collections of turmeric against shoot borer (Conogethes punctiferalis Guen.) and scale insect (Aspidiella hartii Sign.)

The incidence of shoot borer (Conogethes punctiferalis Guen.) and scale insect (Aspidiella hartii Sign.) was scored subjectively on 0-9 scale in an indigenous collection of 489 accessions under field epiphytotic conditions at Vellanikkara, Thrissur during 2001 cropping season. The collections belonged to 21 morphotypic groups of turmeric from different agroclimatic conditions in India. Morphotypic group wise incidence of shoot borer indicated that the lowest incidence of mean score 2 was observed in morphotype 2 followed by 2.6 in morphotype 14. Lowest scale insect incidence of 0.5 was scored in morphotype 6. Eighty accessions were free of scale insect but were susceptible to shoot borer. Maximum susceptibility to the scale insect was noticed in the case of IC 137023 and IC 88895. A total of 22 accessions were tolerant to shoot borer with <3 score. &nbsp