Role of protein concentration on transient film thickness in synovial fluid lubricated joints

A computational model of protein aggregation lubrication has been developed for predicting transient behaviour in lubricated prosthetics. The model uses an advection-diffusion equation to simulate protein transport in order to map concentration changes throughout the contact and inlet zones of an elasto-hydrodynamic contact. Concentration increases lead to exponential increase in fluid viscosity giving rise to lubricating film thicknesses an order of magnitude larger than would be expected using conventional elasto-hydrodynamic theory. The model parameters have been calibrated such that good agreement in transient film thickness is achieved with observed experimental results

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

This study reports the second shared task named as UrduFake@FIRE2021 on identifying fake news detection in Urdu language. This is a binary classification problem in which the task is to classify a given news article into two classes: (i) real news, or (ii) fake news. In this shared task, 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE) registered to participate in the shared task, 18 teams submitted their experimental results and 11 teams submitted their technical reports. The proposed systems were based on various count-based features and used different classifiers as well as neural network architectures. The stochastic gradient descent (SGD) algorithm outperformed other classifiers and achieved 0.679 F-score

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021

Automatic detection of fake news is a highly important task in the contemporary world. This study reports the 2nd shared task called UrduFake@FIRE2021 on identifying fake news detection in Urdu. The goal of the shared task is to motivate the community to come up with efficient methods for solving this vital problem, particularly for the Urdu language. The task is posed as a binary classification problem to label a given news article as a real or a fake news article. The organizers provide a dataset comprising news in five domains: (i) Health, (ii) Sports, (iii) Showbiz, (iv) Technology, and (v) Business, split into training and testing sets. The training set contains 1300 annotated news articles -- 750 real news, 550 fake news, while the testing set contains 300 news articles -- 200 real, 100 fake news. 34 teams from 7 different countries (China, Egypt, Israel, India, Mexico, Pakistan, and UAE) registered to participate in the UrduFake@FIRE2021 shared task. Out of those, 18 teams submitted their experimental results, and 11 of those submitted their technical reports, which is substantially higher compared to the UrduFake shared task in 2020 when only 6 teams submitted their technical reports. The technical reports submitted by the participants demonstrated different data representation techniques ranging from count-based BoW features to word vector embeddings as well as the use of numerous machine learning algorithms ranging from traditional SVM to various neural network architectures including Transformers such as BERT and RoBERTa. In this year's competition, the best performing system obtained an F1-macro score of 0.679, which is lower than the past year's best result of 0.907 F1-macro. Admittedly, while training sets from the past and the current years overlap to a large extent, the testing set provided this year is completely different

Graphene: The Material of Today and Tomorrow

Graphene has astounding aptitudes owing to its unique band structure characteristics outlining its enhanced electrical capabilities for a material with the highest characteristic mobility known to exist at room temperature. Graphene, one-atom-thick, a planar sheet of carbon atoms densely packed in a honeycomb crystal lattice, has grabbed considerable attention due to its exceptional electronic and optoelectronic properties. Reported properties and applications of this two-dimensional form of carbon structure have opened up new opportunities for the future devices and application in various fields. Though graphene is recognized as one of the best electronic materials, synthesizing single sheet of graphene has been less explored. This review article aims to present an overview of the progression of research in graphene, in the area of synthesis, properties and applications. Wherever applicable, the limitations of present knowledge base and future research directions have also been discusse

Understanding COVID-19: From Origin to Potential Therapeutics

Currently, a global pandemic era of public health concerns is going on with the Coronavirus Disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The first case of COVID-19 was reported from Wuhan’s Huanan seafood market in China late December 2019. Bats, pangolins, and snakes have been nominated as salient carriers of the virus. Thanks to its high pathogenicity, it can cause severe respiratory infections. Fever, dry cough, sore throat, pneumonia, septic shock, and ground-glass opacities are the foremost clinical manifestations of COVID-19. Immunocompromised patients are at high risk for COVID-19 infection and may lead to death. Scientist and government agencies around the globe are putting forward their best efforts and resources for the effective treatment of human coronavirus infections; however, neither vaccines nor antiviral drugs are available for the treatment of human coronaviruses (HCoV) infections such as SARS (severe acute respiratory syndrome), MERS (Middle Eastern respiratory syndrome), and COVID-19. Since the outbreak, a plethora of research and review articles have been published. Moreover, the mass media has bombarded the public with conflicting opinions about the pandemic. There is a dire need for accurate and reliable information concerning this pandemic. In this review, we have compiled the up to date information about the origins, evolution, epidemiology, and pathogenesis of this disease. Moreover, very few reports have addressed the clinical features and current status of treatment for COVID-19; we have adequately addressed these topics in detail in this review. Finally, a detailed account of clinical trials of vaccines and other therapeutics currently in progress has been delineated

Eye and Voice-Controlled Human Machine Interface System for Wheelchairs Using Image Gradient Approach

© 2020 The Author(s). This is an open access article distributed under the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Rehabilitative mobility aids are being used extensively for physically impaired people. Efforts are being made to develop human machine interfaces (HMIs), manipulating the biosignals to better control the electromechanical mobility aids, especially the wheelchairs. Creating precise control commands such as move forward, left, right, backward and stop, via biosignals, in an appropriate HMI is the actual challenge, as the people with a high level of disability (quadriplegia and paralysis, etc.) are unable to drive conventional wheelchairs. Therefore, a novel system driven by optical signals addressing the needs of such a physically impaired population is introduced in this paper. The present system is divided into two parts: the first part comprises of detection of eyeball movements together with the processing of the optical signal, and the second part encompasses the mechanical assembly module, i.e., control of the wheelchair through motor driving circuitry. A web camera is used to capture real-time images. The processor used is Raspberry-Pi with Linux operating system. In order to make the system more congenial and reliable, the voice-controlled mode is incorporated in the wheelchair. To appraise the system’s performance, a basic wheelchair skill test (WST) is carried out. Basic skills like movement on plain and rough surfaces in forward, reverse direction and turning capability were analyzed for easier comparison with other existing wheelchair setups on the bases of controlling mechanisms, compatibility, design models, and usability in diverse conditions. System successfully operates with average response time of 3 s for eye and 3.4 s for voice control mode.Peer reviewedFinal Published versio

Impressions and attitudes of adult residents of Karachi towards a possible public health insurance scheme

Objective: To gauge the general population\u27s knowledge and attitude towards a possible public health insurance scheme.Methods: This descriptive, cross-sectional study was conducted at the Aga Khan University Hospital, Karachi, from April to May 2015, and comprised permanent residents of the city. Convenience sampling was used. Data was collected via questionnaires. SPSS 22 was used for data analysis.Results: There were 340 participants in the study with an overall mean age of 32.9±12.4 years. Besides, 159(46.8%) participants were aware of the concept of medical insurance while the correct definition was identified by 160(50.5%) respondents. Overall, 256(75.3%) participants were willing to join a theoretical public health insurance scheme. Of all the respondents, 107(31.5%) had faced a catastrophic event in the past and consequently were more willing to join. Of those unsure or not willing to join, 33(37.9%) respondents identified lack of trust in government programmes as the main reason for their choice.CONCLUSIONS: A large majority of adults had a favourable attitude towards the implementation of a possible public health insurance scheme

A Prediction Model for Membrane Proteins Using Moments Based Features

The most expedient unit of the human body is its cell. Encapsulated within the cell are many infinitesimal entities and molecules which are protected by a cell membrane. The proteins that are associated with this lipid based bilayer cell membrane are known as membrane proteins and are considered to play a significant role. These membrane proteins exhibit their effect in cellular activities inside and outside of the cell. According to the scientists in pharmaceutical organizations, these membrane proteins perform key task in drug interactions. In this study, a technique is presented that is based on various computationally intelligent methods used for the prediction of membrane protein without the experimental use of mass spectrometry. Statistical moments were used to extract features and furthermore a Multilayer Neural Network was trained using backpropagation for the prediction of membrane proteins. Results show that the proposed technique performs better than existing methodologies

Quality of life perceptions in school-going adolescents with social anxiety

Introduction: Social anxiety is common among adolescents with a prevalence range of 9-34%. People with social anxiety have intense fear of being evaluated negatively when they come in contact with strangers and as a result they are less satisfied with their life experiences. Our study aimed to screen school going adolescents for social anxiety disorder and to estimate their perceptions about quality of life. Methods: This cross-sectional study was conducted in Karachi, Pakistan from January to February 2016. We recruited 450 high-school students of ages 14-17 using a self-administered questionnaire based on the Liebowitz Social Anxiety Scale for Children and Adolescents (LSAS-CA-SR) and the brief version of the World Health Organization Quality of Life (WHOQOL-BREF) questionnaire. Results: In this school-based study, 23.8% screened positive for social anxiety with a preponderance of adolescents from public than private schools (33% vs. 18%, p\u3c0.001). Social anxiety status, however, was not associated with gender and age. Screening positive for social anxiety was found to be associated with a significant difference in mean scores on all four domains (physical health, psychological health, social relationships, and environment) of WHOQOL-BREF. Conclusion: Social anxiety is prevalent among Pakistani school adolescents with a substantial negative effect on quality of life. Adolescents must be targeted with interventions such as group treatment and mentorship programs that are effective in tackling the menace of social anxiety

Hepatocellular carcinoma in Pakistan: where do we stand?

Context: From the 1970s till the mid 1990s, hepatitis B was the most common etiological factor for hepatocellular carcinoma (HCC) in Pakistan. Afterwards, a shift in HCC etiology was observed with a steady rise in hepatitis C virus (HCV) related HCC cases. HCV-3a, which is the most prevalent genotype, is also most frequent in HCV related HCC. There was an increase in the proportion of non-B non-C (NBNC) HCC cases as well, which might be attributed to an increase in non-alcoholic fatty liver disease. Evidence Acquisition: The age-standardized rate for HCC is 7.64/100 000 in males and 2.8/100 000 in females. Male to female ratio is 3.6:1. Usual age of presentation is in the fifth and sixth decade. Most patients present with advanced disease, as they are not in a regular surveillance program. This is more so for patients with NBNC chronic liver disease. As many sonologists in Pakistan are practicing without sufficient training to pick up early lesions, alpha-fetoprotein is still recommended to compliment ultrasound in the surveillance of HCC. Results: Majority of HCC patients present with nonresectable disease. Interventions such as transarterial chemoembolization, radiofrequency ablation, resection and chemotherapy including sorafenib are available in selected centers. Pakistan appears to be in an area of intermediate endemicity for HCC. There is a need for population based epidemiological studies to estimate the exact disease burden. Conclusions: Measures to prevent the spread of hepatitis C and B can slow down the epidemic rise in the incidence of HCC in the coming decades. There is a need to implement a proper surveillance program to identify HCC cases at an early stage