Waqf as a socio-economic institution

Syed Khalid Rashid’s lead paper titled ‘Potential of Waqf in Contemporary World’ is a welcome addition to the growing literature on waqf. This brief writeup focuses more on waqf as a ‘socio-economic institution’ and to place waqf as the ‘third’ or voluntary sector of the economy. It will raise some points on a variety of important‘issues’ essential for the revival of waqf which, it is hoped, will complement the lead article. In addition, this paper will share findings and draw from a research project (of which the author was a part of) on Waqf and Higher Education (termed as LRGSWaqf), to support arguments put forward

Mao Zedong\u27s Rise to Power: How One Man Changed the Future for the Better; then Changed it for Himself

An in-depth look into the rise of Mao Zedong from the period of 1949-1959. talking specifically about how despite poor decisions made by Mao during both the first Five-year plan and the Great Leap Forward how he remained in power. the analysis of this is reading both the letter Peng Dehuai, his (Vice Premier) had written him in response too the decisions he had made and the overall outcome of this pinnacle Lushan conference

Editorial

This issue contains papers of interest not only to academics and researchers in the field of Shariah but also is of relevance to industries like sports

Ethics and fiqh for daily life: an Islamic outline

Islam is a religion at the core of which lies belief and it blossoms and perpetually grows through a code of practice consisting of legal rules and moral principles. Iman will fade if it is not sustained by ethical values and moral ideals and reinforced by legal code pf practices. This book presents some of the pertinent aspects of ethics and fiqh for everyday life which benefits non-specialists in religious studies

Biomedical issues in Islamic family law

Islamic discourse on biomedical issues is one of the most topical themes in contemporarylslamicthought.However,literatureespousingthissubject demonstrates dichtomo, up"p.ou.hes by treating issues either from ethcical point ofvieworlegaiperspective'Mo,.o*.,thediversityofjuristicpronouncements containing views f.ri upf...iative of the larger ethical impiications of medical technology on core f;ily value-system as Jnvisioned by Islam proves confusing to common folk and paradoxical to research scholars' To remedy the situation' thisbookarguesforanintegratedapproachbybringingtogethertheimmutable principles of rsta*ic?amiryiu* u, ..,ihrir-,.d in the Qur'an and the Strnnah i""g *iat the underlying moral purposes of the law on marriage, procreation, p""i"ny arrd medicj.uL' ettoidingly' it proposes that to thwart the ethico-juridical pitfalls on medical management of family issues, singular reliance on scientihc e"perts may not be adequate. The_ experts specializing in this area should ,fr" ".q""int themselves witil the working knowledge of medical ie.hrrotogies and relatei disciplines. This approach *:r1+ facilitate the accommodation of biomedical technologies into the legal parameters of Islamic family iaw in a more ethically consistent articulation u'hich could be reassuring to ordinary folks and technically coherent to reserchers in the field

EEG based Stress Analysis through Feature Extraction

The diagnosis of Stress relies virtually solely on doctor-patient conversation and scale analysis, which includes problems such as patient denial, insensitivity, subjective biases, and inaccuracy. Improving the accuracy of Stress diagnosis and therapy necessitates the development of an objective, computerized system for predicting clinical outcomes. Using the modification of EEG data and machine learning techniques, this study attempts to improve the recognition of Stress. The EEG data of 10 volunteers were acquired using a Narosky device during an experiment, including emotive facial stimuli. Psychiatrists used the EEG signal as the criterion for diagnosis of Stress in patients. The different approaches processed the features: machine learning and deep learning. Significant outcomes are achieved using PCA, ICA & EMD for BCI applications. SVM empowers a developer with several advantages: PCA exhibits excellent generalization properties, with stress & pressure detection using EEG Signals. If the signals are negative, the impact of overtraining is sensitive to the curse-of- dimensionality. These advantages were achieved by using EEG signals to detect Stress. The experimental analysis gives some overview of all different approaches, which depend on frequency domain analysis with 14 fourteen-channel EEG signals with reasonable accuracy