Gene Locater: Genetic linkage analysis software using three-point testcross

Locating genes on a chromosome is important for understanding the gene function and its linkage and recombination. Knowledge of gene positions on chromosomes is necessary for annotation. The study is essential for disease genetics and genomics, among other aspects. Currently available software's for calculating recombination frequency is mostly limited to the range and flexibility of this type of analysis. GENE LOCATER is a fully customizable program for calculating recombination frequency, written in JAVA. Through an easy-to-use interface, GENE LOCATOR allows users a high degree of flexibility in calculating genetic linkage and displaying linkage group. Among other features, this software enables user to identify linkage groups with output visualized graphically. The program calculates interference and coefficient of coincidence with elevated accuracy in sample datasets

Analyzing the Parameters of Multidimensional Poverty in Taluka Naushahro Feroze: A Case Study

This research paper tackles the multidimensional poverty applying Foster and Alkire methods of Taluka Naushahro Feroze’s 14 Union councils on the basic figures. No any single navigator gives clear value for deprivation as naturally it is multidimensional. Three dimensions are selected having unequal weights in health, education, and living standard. These areas have been extra distributed in ten indicators, two for education, two for health while six for living standards. The out-put shows that Union Council Waggan has the most multidimensional poverty while least multidimensional poverty was found in Union Councils of Cheeho Taluka Naushahro Feroze. It further suggests an indicator which has highest contributions for multidimensional poverty such as life expectancy, child school attendance, school quality, child mortality, year of schooling, walls, cooking fuel, overcrowding and which contribute lowest is electricity and improved drinking water. Percentage of people for those who are MPI poor of Taluka Naushahro is 47.95 % (incidence of poverty), while average deprivation of people is 55.75 % furthermore, multidimensional poverty index (MPI) is 26.73 % in Naushahro Feroze. Keywords: Multidimensional poverty, incidence of poverty, Average deprivation DOI: 10.7176/JPID/53-06 Publication date: March 31st 202

Burnout, job dissatisfaction, and mental health outcomes among medical students and health care professionals at a tertiary care hospital in pakistan: Protocol for a multi-center cross-sectional study

Burnout, a state of vital exhaustion, has frequently been related to work-related stress and job dissatisfaction. Given the emotionally and physically challenging nature of their work, high rates of burnout have been reported among health care professionals. This may put them at a higher risk for of suffering from adverse mental health outcomes, including depression, anxiety and stress. In our study, we aim to assess the prevalence i of and associations among burnout and job dissatisfaction and adverse mental health outcomes in a developing country, where the challenges faced by the health care system are unique. Facilities are over-burdened and there is a sharp contrast between doctor to patient ratios in developing and developed countries. We plan to conduct a cross sectional study at the largest tertiary care hospital in Pakistan and its peripheral affiliated health centers. A proportionate sampling technique will be employed to include medical and nursing students, interns, residents and consultants. Previously validated questionnaires, including the Maslach Burnout tool, DASS 21, and Job Satisfaction Survey will be disseminated through Survey Monkey. Statistical analysis will be conducted using IBM SPSS Statistics Version 23 to study the association among burnout, job dissatisfaction, adverse health outcomes and demographic and work-related factors This study may begin laying the foundation for prioritizing the novel concept of physician mental health in the developing world. Further research building on to the results of this study will generate evidence to make recommendations about routine screening for mental illness and policy changes in the health care system

Emotion detection from handwriting and drawing samples using an attention-based transformer model

© 2024 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/Emotion detection (ED) involves the identification and understanding of an individual’s emotional state through various cues such as facial expressions, voice tones, physiological changes, and behavioral patterns. In this context, behavioral analysis is employed to observe actions and behaviors for emotional interpretation. This work specifically employs behavioral metrics like drawing and handwriting to determine a person’s emotional state, recognizing these actions as physical functions integrating motor and cognitive processes. The study proposes an attention-based transformer model as an innovative approach to identify emotions from handwriting and drawing samples, thereby advancing the capabilities of ED into the domains of fine motor skills and artistic expression. The initial data obtained provides a set of points that correspond to the handwriting or drawing strokes. Each stroke point is subsequently delivered to the attention-based transformer model, which embeds it into a high-dimensional vector space. The model builds a prediction about the emotional state of the person who generated the sample by integrating the most important components and patterns in the input sequence using self-attentional processes. The proposed approach possesses a distinct advantage in its enhanced capacity to capture long-range correlations compared to conventional recurrent neural networks (RNN). This characteristic makes it particularly well-suited for the precise identification of emotions from samples of handwriting and drawings, signifying a notable advancement in the field of emotion detection. The proposed method produced cutting-edge outcomes of 92.64% on the benchmark dataset known as EMOTHAW (Emotion Recognition via Handwriting and Drawing).Peer reviewe

SYNTHESIS AND CHARACTERIZATION OF CALCIUM DEFICIENT HYDROXYAPATITE NANOCRYSTALS

Synthetic nanoscale calcium deficient hydroxyapatite (CDHA) particles were synthesized using a co-precipitation technique from aqueous solution of calcium nitrate tetrahydrate and diammonium hydrogen phosphate at pH 8.5 at room temperature. No decomposition of CDHA into other phases was observed till 650°C in air for 1h. The product was evaluated using different techniques such as TEM, XRD and FTIR spectroscopy. The chemical structural analysis of the obtained product was achieved by using X-ray photoelectron spectrometer (XPS). After heat treatment at 650°C for 1hour and ageing for 24 h, the product was collected as free flowing white nanopowder with 85% yield

BIO-SORPTION OF NICKEL ON MODIFIED PHOENIX DACTYLIFERA L. SEEDS

This contemporary study reveals the potential of modified Phoenix Dactylifera L. seeds as a biosorbent to adsorb Ni (II) ions present in simulated wastewater. The effect of initial pH and contact time on the uptake of Ni (II) ions were studied. Increase in pH from 3 to 5 increased the removal efficiency from 7.68 to 24.8 %. Pseudo 2ndorder(PSO)model was found most suitable in kinetic studies. Equilibrium was reached within first 20 minutes. Chemisorption was proved to be the rate limiting step(RLS) in biosorption of Ni (II) ions on modified Phoenix Dactylifera L. seeds

LINEAR AND NON-LINEAR REGRESSION ANALYSIS ON THE BIOSORPTION OF Cu(II) BY RICE STRAW

This study elucidates equilibrium and kinetic modelling for the removal of Cu(II) ion on rice straw(RS). The Adsorption isotherms are empirical relations between equilibrium uptake in solid phase and residual concentration in the liquid phase. A variety of adsorption isotherms are available in the literature which are mainly characterized as 2 and 3 three parameters adsorption isotherm models. In this study various 2 parameters adsorption isotherms are used to elucidate the equilibrium behaviour of Cu(II) removal by rice straw at an average pH = 5, by using linear and non-linear regression analysis. Similarly, Pseudo 1st and 2nd kinetic models are fitted on the experimental data. R2, SSE, MSE, RMSE, ARE and SAE were used as the criteria of the best fit of a model in its linear or non-linear form. On the basis of R2, temkin adsorption isotherm described best behaviour of the Cu(II) removal by rice straw indicating highest value of 0.9664 both for linear and non-linear regressions. Kinetic modelling showed pseudo 2nd order kinetic model both in linear and non-linear form best represented the experimental data of Cu(II) ion removal on rice straw(RS)

The development and validation of a scoring tool to predict the operative duration of elective laparoscopic cholecystectomy

Background: The ability to accurately predict operative duration has the potential to optimise theatre efficiency and utilisation, thus reducing costs and increasing staff and patient satisfaction. With laparoscopic cholecystectomy being one of the most commonly performed procedures worldwide, a tool to predict operative duration could be extremely beneficial to healthcare organisations. Methods: Data collected from the CholeS study on patients undergoing cholecystectomy in UK and Irish hospitals between 04/2014 and 05/2014 were used to study operative duration. A multivariable binary logistic regression model was produced in order to identify significant independent predictors of long (> 90 min) operations. The resulting model was converted to a risk score, which was subsequently validated on second cohort of patients using ROC curves. Results: After exclusions, data were available for 7227 patients in the derivation (CholeS) cohort. The median operative duration was 60 min (interquartile range 45–85), with 17.7% of operations lasting longer than 90 min. Ten factors were found to be significant independent predictors of operative durations > 90 min, including ASA, age, previous surgical admissions, BMI, gallbladder wall thickness and CBD diameter. A risk score was then produced from these factors, and applied to a cohort of 2405 patients from a tertiary centre for external validation. This returned an area under the ROC curve of 0.708 (SE = 0.013, p  90 min increasing more than eightfold from 5.1 to 41.8% in the extremes of the score. Conclusion: The scoring tool produced in this study was found to be significantly predictive of long operative durations on validation in an external cohort. As such, the tool may have the potential to enable organisations to better organise theatre lists and deliver greater efficiencies in care

Visibiome: an efficient microbiome search engine based on a scalable, distributed architecture

Abstract Background Given the current influx of 16S rRNA profiles of microbiota samples, it is conceivable that large amounts of them eventually are available for search, comparison and contextualization with respect to novel samples. This process facilitates the identification of similar compositional features in microbiota elsewhere and therefore can help to understand driving factors for microbial community assembly. Results We present Visibiome, a microbiome search engine that can perform exhaustive, phylogeny based similarity search and contextualization of user-provided samples against a comprehensive dataset of 16S rRNA profiles environments, while tackling several computational challenges. In order to scale to high demands, we developed a distributed system that combines web framework technology, task queueing and scheduling, cloud computing and a dedicated database server. To further ensure speed and efficiency, we have deployed Nearest Neighbor search algorithms, capable of sublinear searches in high-dimensional metric spaces in combination with an optimized Earth Mover Distance based implementation of weighted UniFrac. The search also incorporates pairwise (adaptive) rarefaction and optionally, 16S rRNA copy number correction. The result of a query microbiome sample is the contextualization against a comprehensive database of microbiome samples from a diverse range of environments, visualized through a rich set of interactive figures and diagrams, including barchart-based compositional comparisons and ranking of the closest matches in the database. Conclusions Visibiome is a convenient, scalable and efficient framework to search microbiomes against a comprehensive database of environmental samples. The search engine leverages a popular but computationally expensive, phylogeny based distance metric, while providing numerous advantages over the current state of the art tool