The 3D Prandtl fluid flow through a bidirectional extending surface is analytically investigated. Cattaneo–Christov fluid model is employed to govern the heat and mass flux during fluid motion. The Prandtl fluid motion is mathematically modeled using the law of conservations of mass, momentum, and energy. The set of coupled nonlinear PDEs is converted to ODEs by employing appropriate similarity relations. The system of coupled ODEs is analytically solved using the well-established mathematical technique of HAM. The impacts of various physical parameters (...) over the fluid state variables are investigated by displaying their corresponding plots. The augmenting Prandtl parameter enhances the fluid velocity and reduces the temperature and concentration of the fluid. The momentum boundary layer boosts while the thermal boundary layer mitigates with the rising elastic parameter strength. Furthermore, the enhancing thermal relaxation parameter ) reduces the temperature distribution, whereas the augmenting concentration parameter drops the strength of the concentration profile. The increasing Prandtl parameter declines the fluid temperature while the augmenting Schmidt number drops the fluid concentration. The comparison of the HAM technique with the numerical solution shows an excellent agreement and hence ascertains the accuracy of the applied analytical technique. This work finds applications in numerous fields involving the flow of non-Newtonian fluids. (shrink)

Responding to a major pandemic and planning for allocation of scarce resources under crisis standards of care requires coordination and cooperation across federal, state and local governments in tandem with the larger societal infrastructure. Maryland remains one of the few states with no state-endorsed ASR plan, despite having a plan published in 2017 that was informed by public forums across the state. In this article, we review strengths and weaknesses of Maryland’s response to COVID-19 and the role of the Maryland (...) Healthcare Ethics Committee Network in bridging gaps in the state’s response to prepare health care facilities for potential implementation of ASR plans. Identified “lessons learned” include: Deliberative Democracy Provided a Strong Foundation for Maryland’s ASR Framework; Community Consensus is Informative, Not Normative; Hearing Community Voices Has Inherent Value; Lack of Transparency & Political Leadership Gaps Generate a Fragmented Response; Pandemic Politics Requires Diplomacy & Persistence; Strong Leadership is Needed to Avoid Implementing ASR … And to Plan for ASR; An Effective Pandemic Response Requires Coordination and Information-Sharing Beyond the Acute Care Hospital; and The Ability to Correct Course is Crucial: Reconsidering No-visitor Policies. (shrink)

Jensen’s inequality is one of the fundamental inequalities which has several applications in almost every field of science. In 2003, Mercer gave a variant of Jensen’s inequality which is known as Jensen–Mercer’s inequality. The purpose of this article is to propose new bounds for Csiszár and related divergences by means of Jensen–Mercer’s inequality. Also, we investigate several new bounds for Zipf–Mandelbrot entropy. The idea of this article may further stimulate research on information theory with the help of Jensen–Mercer’s inequality.

The Ahmadiyya Muslim community represents the followers of Mirza Ghulam Ahmad, a charismatic leader whose claims of spiritual authority brought him into conflict with most other Muslim leaders of the time. The controversial movement originated in rural India in the latter part of the 19th century and is best known for challenging current conceptions of Islamic orthodoxy. Despite missionary success and expansion throughout the world, particularly in Western Europe, North America, and parts of Africa, Ahmadis have effectively been banned from (...) Pakistan. Adil Hussain Khan traces the origins of Ahmadi Islam from a small Sufi-style brotherhood to a major transnational organization, which many Muslims believe to be beyond the pale of Islam. (shrink)

As COVID-19 pandemic continued to propagate, millions of lives are currently at risk especially elderly, people with chronic conditions and pregnant women. Iraq is one of the countries affected by the COVID-19 pandemic. Currently, in Iraq, there is a need for a self-assessment tool to be available in hand for people with COVID-19 concerns. Such a tool would guide people, after an automated assessment, to the right decision such as seeking medical advice, self-isolate, or testing for COVID-19. This study proposes (...) an online COVID-19 self-assessment tool supported by the internet of medical things (IoMT) technology as a means to fight this pandemic and mitigate the burden on our nation’s healthcare system. Advances in IoMT technology allow us to connect all medical tools, medical databases, and devices via the internet in one collaborative network, which conveys real-time data integration and analysis. Our IoMT framework-driven COVID-19 self-assessment tool will capture signs and symptoms through multiple probing questions, storing the data to our COVID-19 patient database, then analyze the data to determine whether a person needs to be tested for COVID-19 or other actions may require to be taken. Further to this, collected data can be integrated and analyzed collaboratively for developing a national health policy and help to manage healthcare resources more efficiently. The IoMT framework-driven online COVID-19 self-assessment tool has a big potential to prevent our healthcare system from being overwhelmed using real-time data collection, COVID-19 databases, analysis, and management of people with COVID-19 concerns, plus providing proper guidance and course of action. (shrink)

Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method for (...) mathematical modeling, simulation, real-time testing, and prototyping. The quadcopter dynamic model is developed, and controllers are designed using Proportional Integral, and Derivative, Pole Placement, and Linear Quadratic Regulator control strategies. The stability of the controllers is also checked using Lyapunov stability analysis. For verification and validation of the design, Software-in-the-Loop, Processor-in-the-Loop, Hardware-in-the-loop testing, and Rapid Control Prototyping have been performed. The V&V methods of the MBD approach showed practically valid results with a stable flight of the quadcopter prototype. The proposed low-cost POC quadcopter design approach can be easily modified to have enhanced features, and quadcopters with different design parameters can be assembled using this approach for a diverse range of applications. (shrink)

This paper examines incorrect use of oral contraceptives (OCs) in rural Bangladesh by using data from an OC compliance survey. Of the 1031 current users of OCs interviewed, about 13% took their pills out of sequence, while 17% left incorrect intervals between pill packs. Forty per cent of the women reported missing one active pill during the 6 months prior to the survey, and 74% of them took correct action with the missed pill. Of the women who missed two active (...) pills (16%), only 9% took correct action. Multivariate analyses revealed that women support helped protect against taking incorrect action with a missed pill. The fieldworker support is essential to improve the pill-taking behaviour of Bangladeshi women. (shrink)

The current study investigates whether tournament incentives motivate chief executive officer to be socially responsible. Furthermore, it explores the role of sub-national institutional contingencies [i.e., state-owned enterprises vs. non-SOEs, foreign-owned entities vs. non-FOEs, cross-listed vs. non-cross-listed, developed region] in CEO tournament incentives and the corporate social responsibility performance relationship. Data were collected from all A-shared companies listed in the stock exchanges of China from 2014 to 2019. The study uses the baseline methodology of ordinary least squares and cluster OLS regression. (...) Moreover, firm-fixed effects regression, two-stage least squares regression, and propensity score matching deal with the endogeneity problem and check the robustness of the results. The results provide reliable evidence that tournament incentives motivate CEOs to be more socially responsible. On the other hand, sub-national institutional contingencies positively affect the association between CEO tournament incentives and CSRP. The findings have important implications for companies and regulators who wish to enhance CSP by providing incentives to top managers. (shrink)

Nowadays, online product reviews have been at the heart of the product assessment process for a company and its customers. They give feedback to a company on improving product quality, planning, and monitoring its business schemes in order to increase sale and gain more profit. They are also helpful for customers to select the right products in less effort and time. Most companies make spam reviews of products in order to increase the products sales and gain more profit. Detecting spam (...) product reviews is a challenging issue in NLP. Numerous machine learning approaches have attempted to detect and classify the product reviews as spam or nonspam. However, in order to improve the classification accuracy, this study has introduced an ensemble machine learning model that combines predictions from multilayer perceptron, K-Nearest Neighbour, and Random Forest and predicts the outcome of the review as spam or real, based on the majority vote of the contributing models. In order to accomplish the task of spam review classification, the proposed ensemble and other benchmark boosting approaches are tested with 25 statistical features extracted from mobile application reviews of Yelp Dataset. Then, three different selection techniques are exploited to diminish the feature space and filter out the top 10 optimal features. The effectiveness of the proposed ensemble, the individual models, and other benchmark boosting approaches is again evaluated with 10 optimal features in terms of classification accuracy. Experimental outcomes illustrate that the proposed ensemble model outperformed the individual classifiers and state-of-the-art boosting approaches like Generalized Boost Regression Model, Extreme Gradient Boost, and AdaBoost Regression Model in terms of classification accuracy. (shrink)

Volume 20, Issue 7, July 2020, Page 150-152.

Clinical responses to dopamine replacement therapy for individuals with Parkinson’s disease are often difficult to predict. We characterized changes in MDS-UPDRS motor factor scores resulting from a short-duration L-Dopa response, and investigated how the inter-subject clinical differences could be predicted from motor cortical magnetoencephalography. MDS-UPDRS motor factor scores and resting-state MEG recordings were collected during SDR from twenty individuals with a PD diagnosis. We used a novel subject-specific strategy based on linear support vector machines to quantify motor cortical oscillatory frequency (...) profiles that best predicted medication state. Motor cortical profiles differed substantially across individuals and showed consistency across multiple data folds. There was a linear relationship between classification accuracy and SDR of lower limb bradykinesia, although this relationship did not persist after multiple comparison correction, suggesting that combinations of spectral power features alone are insufficient to predict clinical state. Factor score analysis of therapeutic response and novel subject-specific machine learning approaches based on subject-specific neuroimaging provide tools to predict outcomes of therapies for PD. (shrink)

This article aims to improve the understanding of corporate governance and environmental reporting literature by analyzing the impact of board gender diversity (BGD) on environmental performance, environmental disclosure, and greenwashing behavior. The panel regression estimation technique with fixed effects was applied to Chinese firm data. As a result, it was found that more women who served on corporate boards enhanced the company's environmental performance and disclosures while limiting greenwashing behavior. The result indicated that women in top management play a constructive (...) role in establishing firms' active environmental initiatives. Furthermore, this relationship was nonlinear and exponentially increased when women's representation reached the threshold of 33.5% representation on board or higher. Based on the findings, no internal bias was found even after other governance and firm-level control factors and probable endogenies were considered and variable biases were omitted. Notably, the results present important implications for regulators and policymakers by highlighting the influential role of BGD in promoting environmentally responsible practices and reducing greenwashing. (shrink)

The earlier volume in this series dealt with two religions of Indian origin, namely, Buddhism and Jainism. The Indian religious scene, however, is characterized by not only religions which originated in India but also by religions which entered India from outside India and made their home here. Thus religious life in India has been enlivened throughout its history by the presence of religions of foreign origin on its soil almost from the very time they came into existence. This volume covers (...) three such religions—Zoraoastrianism, Judaism, and Islam. In the case of Zoraostianism, even its very beginnings are intertwined with India, as Zoroastrianism reformed a preexisting religion which had strong links to the Vedic heritage of India. This relationship took on a new dimension when a Zoroastrian community, fearing persecution in Persia after its Arab conquest, sought shelter in western India and ultimately went on to produce India’s pioneering nationalist in the figure of Dadabhai Naoroji ( 1825-1917), also known as the Grand Old Man of India. Jews found refuge in south India after the destruction of the Temple by the Romans in 70 C.E. and have remained a part of the Indian religious scene since then, some even returning to Israel after it was founded in 1948. Islam arrived in Kerala as soon as it was founded and one of the earliest mosques in the history of Islam is found in India. Islam differs from the previously mentioned religions inasmuch as it went on to gain political hegemony over parts of the country for considerable periods of time, which meant that its impact on the religious life of the subcontinent has been greater compared to the other religions. It has also meant that Islam has existed in a religiously plural environment in India for a longer period than elsewhere in the world so that not only has Islam left a mark on India, India has also left its mark on it. Indeed all the three religions covered in this volume share this dual feature, that they have profoundly influenced Indian religious life and have also in turn been profoundly influenced by their presence in India. (shrink)

The earlier volume in this series dealt with two religions of Indian origin, namely, Buddhism and Jainism. The Indian religious scene, however, is characterized by not only religions which originated in India but also by religions which entered India from outside India and made their home here. Thus religious life in India has been enlivened throughout its history by the presence of religions of foreign origin on its soil almost from the very time they came into existence. This volume covers (...) three such religions—Zoraoastrianism, Judaism, and Islam. In the case of Zoraostianism, even its very beginnings are intertwined with India, as Zoroastrianism reformed a preexisting religion which had strong links to the Vedic heritage of India. This relationship took on a new dimension when a Zoroastrian community, fearing persecution in Persia after its Arab conquest, sought shelter in western India and ultimately went on to produce India’s pioneering nationalist in the figure of Dadabhai Naoroji ( 1825-1917), also known as the Grand Old Man of India. Jews found refuge in south India after the destruction of the Temple by the Romans in 70 C.E. and have remained a part of the Indian religious scene since then, some even returning to Israel after it was founded in 1948. Islam arrived in Kerala as soon as it was founded and one of the earliest mosques in the history of Islam is found in India. Islam differs from the previously mentioned religions inasmuch as it went on to gain political hegemony over parts of the country for considerable periods of time, which meant that its impact on the religious life of the subcontinent has been greater compared to the other religions. It has also meant that Islam has existed in a religiously plural environment in India for a longer period than elsewhere in the world so that not only has Islam left a mark on India, India has also left its mark on it. Indeed all the three religions covered in this volume share this dual feature, that they have profoundly influenced Indian religious life and have also in turn been profoundly influenced by their presence in India. (shrink)

The topic of abortion was in the limelight again in Dobbs v Jackson, where the US Supreme Court overturned the decision of Roe v Wade, ‘which guaranteed women and pregnant people a constitutional right to abortion’. While not bound by the judgment, this gives us an opportunity to reflect on the current law in South Africa which regulates the termination of pregnancy. The primary piece of legislation which governs abortion is the Choice on Termination of Pregnancy Act. Section 2 of (...) the Act lists the grounds under which one may lawfully terminate a pregnancy. One of those grounds relates to the period of the 13th up until the 20th week of the gestation period, and states that if a medical practitioner, after consultation with the pregnant woman, is of the opinion that the continued pregnancy would significantly affect the social or economic circumstances of the woman, then the pregnancy may be lawfully terminated. The question is: What exactly is meant by ‘social grounds’? This article considers this aspect from a legal perspective and attempts to provide clarity on the issue, in the hope that this will be of assistance to medical practitioners who are concerned about the outcome of their actions, when assisting persons in this position. (shrink)

Background. Imposter syndrome, associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such (...) as neural network, random forest, and ensemble learning to compare the accuracy of prediction of the IS. Results. In total, 500 students completed the questionnaire. We used the YIS scale to determine the presence of IS among medical students. The ensemble model has the highest accuracy of this predictive model, with 96.4%, while the individual accuracy of random forest and neural network is 93.5% and 96.3%, respectively. We used different performance matrices to compare the results of the models. Finally, we compared feature importance scores between neural network and random forest model. The top feature of the neural network model is Y7, and the top feature of the random forest model is Y2, which is second among the top features of the neural network model. Conclusions. Imposter syndrome is an emerging mental illness in Bangladesh and requires the immediate attention of researchers. For instance, in order to reduce the impact of IS, identifying key factors responsible for IS is an important step. Machine learning methods can be employed to identify the potential sources responsible for IS. Similarly, determining how each factor contributes to the IS condition among medical students could be a potential future direction. (shrink)

This paper presents four theorems that connect continuity postulates in mathematical economics to solvability axioms in mathematical psychology, and ranks them under alternative supplementary assumptions. Theorem 1 connects notions of continuity (full, separate, Wold, weak Wold, Archimedean, mixture) with those of solvability (restricted, unrestricted) under the completeness and transitivity of a binary relation. Theorem 2 uses the primitive notion of a separately continuous function to answer the question when an analogous property on a relation is fully continuous. Theorem 3 provides (...) a portmanteau theorem on the equivalence between restricted solvability and various notions of continuity under weak monotonicity. Finally, Theorem 4 presents a variant of Theorem 3 that follows Theorem 1 in dispensing with the dimensionality requirement and in providing partial equivalences between solvability and continuity notions. These theorems are motivated for their potential use in representation theorems. (shrink)

This study has examined the problems’ related to communicativeecology of pilgrim sojourners in Saudi Arabia and its impact on the levelsof their satisfaction with the services provided in a probability sample of439 Pakistani pilgrims. The sojourners’ communication ecology in problemsituations comprises eleven communication sources. Of these, contactswith family/friends and co-pilgrims made top of the list followed by suchcommunity organization sources like information counters, tour operators, andthe Pakistani Hajj mission officials. The mediated sources of contacts with theethnic newspaper, and the mainstream (...) Saudimass media ranked the 3rd and the 4th. The Internet and the digital billboardswere each cited in less than 10 percent of the responses. Stepwise multipleregressions revealed that the most important sources of impact on satisfactionwere: contact with community organizations, family/friends and co-pilgrims,the ethnic newspaper, and the digital screens. Implications of the impact onsatisfaction are discussed for communicating with the pilgrims. (shrink)

In this paper, DSEK model with fractional derivatives of the Atangana-Baleanu Caputo is proposed. This paper gives a brief overview of the ABC fractional derivative and its attributes. Fixed point theory has been used to establish the uniqueness and existence of solutions for the fractional DSEK model. According to this theory, we will define two operators based on Lipschitzian and prove that they are contraction mapping and relatively compact. Ulam-Hyers stability theorem is implemented to prove the fractional DSEK model’s stability (...) in Banach space. Also, fractional Euler’s numerical method is derived for initial value problems with ABC fractional derivative and implemented on fractional DSEK model. The symmetric properties contribute to determining the appropriate method for finding the correct solution to fractional differential equations. The numerical solutions generated using fractional Euler’s method have been plotted for different values of α where α ∈ 0,1 and different step sizes h. Result discussion will be given, describing the changes that occur due to the step size h. (shrink)

Pediatric dentists rely on access to hospital operating rooms for safe, effective, and humane delivery of dental care. The children who benefit most from dental treatment in a hospital operating room are those who are very young, have dental anxieties or phobias, are precommunicative or noncommunicative, need extensive or invasive dental treatments, or have special healthcare needs. Diminishing access to hospital operating rooms for pediatric dental treatment has become an escalating problem in contemporary times. Financial barriers, hospital costs, reimbursement rates, (...) health insurance policies and deductibles, out-of-network hospitals, socioeconomic factors, and the COVID-19 pandemic are prominent contributing factors. This problem in access to care has resulted in long waiting times for hospital operating rooms, deferral of medically necessary dental care, and pain and infection among this vulnerable patient population. Pediatric dentists have responded to the problem by utilizing alternative methods of care delivery, such as in-office deep sedation or in-office general anesthesia, and by implementing aggressive medical management of dental caries. However, the youngest of pediatric patients and children with special healthcare needs still remain at a disadvantage in receiving definitive dental treatment. This article aims to highlight the ethical challenges faced by pediatric dentists in contemporary practice in the face of limitations in hospital operating room access through four case scenarios. (shrink)

Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...) discussion forums, and hence, there is no standard/general set of features that could be effectively used for relevant answer/reply post classification. However, this study proposed an answer detection model that is exclusively relying on lexical features and employs a random forest classifier for classification of answers in discussion boards. Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets. (shrink)

Introduction : a divided discipline -- A genealogy of agency -- Reforming a paradigm : constructivism to rational constructivism -- A rational constructivist theory of identity and strategy -- Jerusalem : the unsubstitutable core value -- Jihad for Jerusalem : Israel the tiger 1967-1997 -- Jihad for Jerusalem : Iran the cub 1967-1997 -- Jihad for Jerusalem : Saudi Arabia the paper tiger 1967-1997 -- Jihad for Jerusalem : Jordan the mouse 1967-1997 -- Conclusion : the future of Jerusalem.

This paper examines incorrect use of oral contraceptives (OCs) in rural Bangladesh by using data from an OC compliance survey. Of the 1031 current users of OCs interviewed, about 13% took their pills out of sequence, while 17% left incorrect intervals between pill packs. Forty per cent of the women reported missing one active pill during the 6 months prior to the survey, and 74% of them took correct action with the missed pill. Of the women who missed two active (...) pills (16%), only 9% took correct action. Multivariate analyses revealed that women's education and their husbands' support helped protect against taking incorrect action with a missed pill. The fieldworker's contact was found to protect against leaving an incorrect interval between pill packs. Women who had membership of non-government organizations were less likely to interrupt their pill use, and more likely to take their pill out of sequence. The present study underscores the need for providing women with more support in their pill use, and advocates that service providers should be the focal point of efforts. Husbands' support is essential to improve the pill-taking behaviour of Bangladeshi women. (shrink)

Drawing on the scholarship of Critical Religion, this article shows how the modern category “religion” operates through a gender code which upholds its discursive power and enables the production of religious—and therefore racial—hierarchies. Specifically, it argues that mentioning religion automatically makes gender present in discourse. Acknowledging religion as an inherently gendered category in this way gives further insight into the discursive power and functioning of the religious label. With the example of the Westphalian production of the “myth of religious violence” (...) and the employment of “religion” in colonial contexts, I demonstrate how a gender code upholds and enables the discursive power of religion. Religion is both gendered and gendering. Acknowledging the multiple ways in which religion is gendered and gendering, then, has important bearings on the analysis of religion’s racializing function which is upheld and aided by the gender code through which religion is spoken. (shrink)

On taking the common distinction between the legal and the ethical as a point of departure, and in an effort to understand Marshall's approach to self-interest, and thereby to his conception of an ethics of commerce, I read three of his essays in the light of some non-technical writings of Frank Hahn and three other Cambridge intellectuals. My larger project connects self-interest and self-deception to a possible ethics of theorizing in economics, and thereby to the ethics of the relationship between (...) the theorist and the theorized, the analyst and the analyzed. (shrink)