This study concentrates on adaptive event-triggered control of complex dynamical networks with unpredictable coupling delays and stochastic deception attacks. The adaptive event-triggered mechanism is used to avoid the wasting of limited bandwidth. The probability of data communicated by the network is established by statistical properties and Bernoulli stochastic variables with an uncertain occurrence probability. Stability analysis based on Lyapunov–Krasovskii functional and the stability of the closed-loop system is guaranteed. Using the LMI technique, we obtain triggered parameters. To demonstrate the feasibility (...) and usefulness of the suggested methodology, two examples are shown. (shrink)

The problem of finite-time stability of switched genetic regulatory networks with time-varying delays via Wirtinger’s integral inequality is addressed in this study. A novel Lyapunov–Krasovskii functional is proposed to capture the dynamical characteristic of GRNs. Using Wirtinger’s integral inequality, reciprocally convex combination technique and the average dwell time method conditions in the form of linear matrix inequalities are established for finite-time stability of switched GRNs. The applicability of the developed finite-time stability conditions is validated by numerical results.

The Canadian residential sector contributes approximately 80 megatons of GHGs to the environment yearly. With the ratification of Kyoto Protocol, Canada has committed to reduce its 1990 GHG emission levels by at least 5% between 2008 and 2012. To meet this target, Canada must evaluate and exploit all feasible means to reduce fossil fuel energy consumption and GHG emissions. Test-case Canadian houses were modeled in the building-energy simulation software ESP-r. Requisite housing stock data were extracted from Canada's residential end-use energy (...) surveys. Photovoltaic and wind-turbine energy systems were assessed for their contribution to electricity generation and GHG savings. Typical household electrical consumption versus renewable electricity generation was assessed to estimate the GHG reduction, cost saving in electricity, and the impact of these technologies on single detached houses. With the use of net-metering, 100% of electricity requirements can be met by these technologies in certain cases, resulting in significant reductions in GHG emissions. (shrink)

With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...) normalized routing overhead. Moreover, throughout the active data section, each intermediate node computes its channel contention value. If an intermediate node detects an increase in channel contention, it notifies the source node. Then the source node determines another least contended route for transmission. The advantages of CCBR are verified in our NS2-based performance study, and the results show that CCBR outperforms ad hoc on-demand distance vector in terms of packet delivery ratio, end-to-end delay, and routing overhead by 4% to 9%. (shrink)

The Holy Qur’an relates believers’ pure emotions to brotherhood. From the perspective of Islam, it has been also affirmed that two people have the same thoughts and opinions in one centre point of love in brotherhood, so fraternal feelings are not merely limited to kinship and consanguinity. In this line, the Holy Qur’an states that we have come to make you brothers with each other; not a brotherhood from parents, but an Islamic one, which is highly appreciated in the Islamic (...) society. In addition, a believing brother can never be filled when his fellow believer is hungry, and he cannot be clothed while the other is with nothing on. Islam further considers all Muslims as one family and calls everyone brothers and sisters or siblings. The true Muslims of any race and tribe as well as any language and age thus have a deep sense of brotherhood with each other, even if one lives in the Eastern parts of the world and the other in the West. In sum, this article aimed to investigate the role of religious teachings in strengthening believers’ brotherhood in the Islamic society. For this purpose, firstly, the definition of religious brotherhood was provided; secondly, religious brotherhood has been described based on the Holy Qur’an.Contribution: This article helped gain a new insight into the role of Islamic teachings in strengthening religious brotherhood in the Islamic society. Besides, the indicators of religious brotherhood were extracted and then enlightened according to the Ayat (viz. verses) from the Holy Qur’an. (shrink)

The big five personality traits and entrepreneurial mindset are crucial individual-level elements that determine entrepreneurial intention. This study examines the impact of big five personality traits and EM, on EI using the theory of planned behavior. Besides, this study examined the role of entrepreneurial self-efficacy and attitude toward entrepreneurship influences EI. To achieve the research objectives, a quantitative approach was used. Structural equation modeling and path analysis were conducted using SmartPLS software. Data were collected from 270 respondents through online questionnaires. (...) Findings of the study revealed that big five personality traits influence ESE and ATE which led to EI. Finally, the moderating role of entrepreneurial passion was also found to have strong effect on influence ESE and ATE. This study offers evidence and insights that academics, educators, and others involved in the creation or expansion of entrepreneurial knowledge can use as a reference point. (shrink)

Excerpt from Rationalism Islam. By the Rt. Hon. Ameer ali syed, of the Judicial Committee of His Majesty's Privy Council, author of The Spirit of Islam and Ethics of Islam. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. (...) In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. (shrink)

Horizontal transfer (HT) is the transmission of genetic material between non‐mating species, a phenomenon thought to occur rarely in multicellular eukaryotes. However, many transposable elements (TEs) are not only capable of HT, but have frequently jumped between widely divergent species. Here we review and integrate reported cases of HT in retrotransposons of the BovB family, and DNA transposons, over a broad range of animals spanning all continents. Our conclusions challenge the paradigm that HT in vertebrates is restricted to infective long (...) terminal repeat (LTR) retrotransposons or retroviruses. This raises the possibility that other non‐LTR retrotransposons, such as L1 or CR1 elements, believed to be only vertically transmitted, can horizontally transfer between species. Growing evidence indicates that the process of HT is much more general across different TEs and species than previously believed, and that it likely shapes eukaryotic genomes and catalyses genome evolution. (shrink)

This article investigates the nexus between bank-specific risks and the financial stability of the banks for a panel data set of 15 scheduled banks in Pakistan over a 12-year period from 2009 to 2020. Using the fixed-effect model, the study result shows that bank-specific risks, i.e., credit risk and liquidity risk are detrimental to bank stability, whereas funding risk has no significant impact on bank stability. Besides these, bank size has also a negative impact on bank stability, whereas the return (...) on assets revealed a positive influence. To ensure stability, bank management should establish policies that confirm secure loan granting and timely reimbursement from customers to minimize the credit risk. Besides this, management should keenly observe the liquidity position and should also effectively mobilize the customer deposits to attain financial stability. (shrink)

During the COVID-19 epidemic, personal safety has received increasing attention, leading to behavioral changes. Mobile-wallet makes it easier for people to keep social distance, which helps stop the spread of the COVID-19 virus. Evolving Internet technology has brought about changes in consumer lifestyle. The current situation of COVID-19 has created a business environment to shift from traditional ways and adopt e-commerce solutions worldwide. Grounded in technology acceptance model theory, this study’s objective is two-fold: First, this study intends to examine perceived (...) susceptibility to COVID-19, perceived severity of COVID-19, insecurity and discomfort as the predictors of perceived usefulness and perceived ease of use. Second, the current research intends to test the moderating effect of electronic words-of-mouth on the relationship between attitude and usage intention. Using survey methods, 226 usable responses were collected through a mall intercept survey in Pakistan. Data were analyzed using partial least square. The results revealed that PEOU and PU positively influence attitude toward M-wallet. This study has found that attitude positively influences the usage intention in adopting M-wallet. The results also support the moderating role of eWOM. These findings contribute to the marketing literature in several ways, particularly in Pakistan. This is the first study to use eWOM as a moderating variable in the TAM theory. In addition, this study adds to the current body of knowledge by considering eWOM as a multi-dimensional construct novel in m-wallet literature. (shrink)

The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social media platforms. There is a considerable need to implement different measures and better perceive COVID-19 pertinent facts and information by demystifying public sentiments. In this study, the Quarantine Life dataset of thousand tweets (...) is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My Pandemic Plan, and #Quarantine and Chill from January to September 2020 has been collected from Twitter. The extracted data have been scrubbed through preprocessing techniques. The sentiments and topics extracted from tweets have been analyzed through the TEXT BLOB, VADER, and AFFIN approach. Results show that people were distressed and fearful due to the COVID-19 pandemic. However, most people enjoyed by playing games, watching movies, and reading books during the lockdown period. According to the present meta-analysis, physical activity interventions are beneficial for patients with dementia in terms of cognition. The proposed framework illustrates the insight impact of COVID-19 on human physiological and mainly focuses on the evaluation of sentiment dynamics at the topical level. (shrink)

Background and purpose Changes to deceased organ donation policy in the USA, including opt-out and priority systems, have been proposed to increase registration and donation rates. To study attitudes towards such policies, we surveyed healthcare students to assess support for opt-out and priority systems and reasons for support or opposition. Methods We investigated associations with supporting opt-out, including organ donation knowledge, altruism, trust in the healthcare system, prioritising autonomy and participants’ evaluation of the moral severity of incorrectly assuming consent in (...) opt-in systems or opt-out systems, by conducting an online survey among healthcare students at a large academic institution. Results Of 523 respondents, 86% supported opt-out, including 53% who strongly supported the policy. The most popular reason for supporting opt-out was the potential for increased donation rates, followed by convenience for those not registered but willing to donate. The most popular reason for opposing opt-out was the belief that presuming consent is morally wrong. Those strongly supporting opt-out viewed the opt-in error as more morally unacceptable, and had higher knowledge and altruism scores. Those opposing opt-out viewed the opt-out error as more unacceptable, and had higher autonomy scores. 48% of respondents supported priority within opt-in systems; 31% supported priority in opt-out. Conclusions There is strong support for opt-out organ donation among healthcare students, influenced by both practical and moral considerations. (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 mixed-methods case study describes the experiences of a rural health organization in Canada that was a pioneer in undergoing institutionally driven radical change. This change was advocated by senior managers and physicians with the strong backing of the government. The senior managers and physicians made a strong case for the radical change and argued that a focus on efficiency and wellness would lead to improved service and quality of patient-care. However, this radical change initiative was resisted by nurses and (...) support staff who perceived that these changes were being driven by market-based institutional logics and questioned their ethical appropriateness in a public system. They also expressed a lack of trust given the large-scale layoffs in a prior restructuring. These findings run counter to extant theory by highlighting the role of agency despite institutional pressures. Specifically, change implementers not only face the burden of justifying ethical appropriateness of institutional logics, but also are required to engage in persuasive discourse that these institutional logics protect the interests of the members. (shrink)

With the increasing growth of online shopping, businesses are intertwining to establish new shopping antecedents. Customer experience has steadily become the most important source of retailers’ long-term competitive advantage via difference. To preserve long-term and sustained consumer loyalty, retailers must continually improve the customer experiences. This study presents a framework for online retailing in a digital environment called the Online Customer Experience-Engagement Context model in the presence of value co-creation. Data was gathered from 189 people who purchased products online. For (...) additional analysis, testing the hypothesis, and model construction, SPSS 26 and Smart-PLS were used. The data was then evaluated further using descriptive statistics, path analysis, measurement, and structural model. The findings show that the online customer experience substantially influenced customer engagement, which improved customer loyalty. The VCC strengthened the link between online customer experience and customer engagement. It suggests that including consumers in co-creating a delightful online customer experience from time to time may be a valuable strategy for online retailers to increase customer engagement and loyalty. To create an overarching outcome, information integration theory, multi-attribute utility theory, and the attitude-behavior-context theory theories are converged to explain the proposed model in the study. (shrink)

Strategic orientation and innovation are vital determinants for accelerating the performance of small-to-medium-sized enterprises. However, there is a lack of empirical evidence confirming the innovation at the product and process levels that instigated the SMEs’ performance. Moreover, the mediating effect of process and product innovation can play a significant role in strategic orientation and manufacturing SMEs’ performance. In this respect, this study aims to examine the mediating effect of product and process innovation between strategic orientation and the performance of Malaysian (...) manufacturing SMEs. The questionnaire survey gathered data from 360 manufacturing SMEs and was analyzed using partial least square structural equation modeling to achieve these research objectives. The study analysis established that customer and entrepreneurial orientation significantly influence product and service innovation. However, the market orientation is significant for process innovation but insignificant for product-level innovation among SMEs. The study’s consequences exposed that process innovation has significantly mediated between the strategic orientation and SMEs performance. It implies that market, entrepreneurial, and customer-related strategies would substantially improve SMEs’ performance by harnessing innovation at product and process levels. The core insights provided by the current work are to strengthen the strategic orientation that can promote product and process innovation, thereby harnessing the SMEs’ performance. Additionally, the study’s significance and limitations were reported at the end. (shrink)

This study investigates structural influence of the Madrassah system on effectiveness of its students in terms of civic health, system thinking and professional development. The researchers constructed the instrument of survey after rigorous literature review, frequent interaction with scholars, clerics and policy makers. The survey was administrated to 600 Madrassah’s students from different schools of thought. By applying T-test and Kruskal Waliss Rank Test for measurement of effectiveness and Structural Equation Modeling methodology the researchers has explored the relationship between the (...) variables, and later analyzed with the help of selected model. Findings of the study demonstrate that education system followed in Madrassahs does not seem to be effective and need-based in contemporary times. Indicators of Madrassah structure such as curriculum and openness negatively influences the students while peda­gogy positively influences the effectiveness of students of Madrasah in Pakistan. In the end, it is recommended that curriculum and pedagogy of Madrassah should be reformed and updated in accordance with knowledge-based economy. This will not only upgrade the poor segment of society but also bring together the variety of individuals close enough to understand each other. (shrink)

Based on the social exchange theory, the aim of this study is to identify the association between job stress state anger, emotional exhaustion and job turnover intention. This study postulates that job related stress and state anger among nurses during COVID-19 subsequently leads to their job turnover intentions. In addition, the study also aims to see the mediating role of emotional exhaustion between COVID-19-related job stress, state anger, and turnover intentions. The sample of this study is gathered from 335 registered (...) nurses working in Pakistani hospitals dealing with COVID-19-related patients. The interrelationships between variables are checked by using structural equation modeling through AMOS. Key findings confirm that COVID-19-related job stress and state anger had a significant effect on nurses’ turnover intentions. Furthermore, emotional exhaustion mediated the relationship between COVID-19-related job stress, state anger, and turnover intentions. There is a lack of research which has assessed the impact of Novel COVID-19-related job stress and state anger on nurses’ turnover intentions in hospitals, providing empirical evidence from a developing country-Pakistan. This study offers managerial implications for hospital management and health policymakers. Moreover, nursing managers need to pay attention to nurses’ turnover intentions who are facing the issue at the front line as patients receive their initial treatment from nurses in the COVID-19 outbreak. (shrink)

To maintain the competitive edge and evaluating the needs of the quality app is in the mobile application market. The user’s feedback on these applications plays an essential role in the mobile application development industry. The rapid growth of web technology gave people an opportunity to interact and express their review, rate and share their feedback about applications. In this paper we have scrapped 506259 of user reviews and applications rate from Google Play Store from 14 different categories. The statistical (...) information was measured in the results using different of common machine learning algorithms such as the Logistic Regression, Random Forest Classifier, and Multinomial Naïve Bayes. Different parameters including the accuracy, precision, recall, and F1 score were used to evaluate Bigram, Trigram, and N-gram, and the statistical result of these algorithms was compared. The analysis of each algorithm, one by one, is performed, and the result has been evaluated. It is concluded that logistic regression is the best algorithm for review analysis of the Google Play Store applications. The results have been checked scientifically, and it is found that the accuracy of the logistic regression algorithm for analyzing different reviews based on three classes, i.e., positive, negative, and neutral. (shrink)

The purpose of this study is to examine the impact of two comparative leadership styles on organizational performance outcomes. The leadership styles undertaken is transformational and servant leadership. A sample of 155 participants is taken from profit-oriented service sector of Pakistan. Data through survey gathered on a five point likert scale from organizations. AMOS and SPSS are used for statistical analysis. The result shows that, transformational leadership has more impact on organizational learning than servant leadership. Furthermore organizational learning enhances organizational (...) performance. Managers and leaders of corporate sector can get benefited from this study. Their main objective is to maximize the profitability of organization thus, they can choose leadership style which polishes their abilities and helps them to achieve profit maximization. (shrink)

Nowadays, due to restrictions on fossil fuels, the use of renewable energies is increasing day by day. Among renewable energies, solar energy has received more attraction due to its availability in all places. Among solar energy technologies, the solar tower has been welcomed due to its high power generation of electrical energy. For accurate modeling of the studied system, each component of the system has been evaluated and modeling has been done. Therefore, in this research, solar tower modeling has been (...) conducted to achieve high electrical energy production, and to better compare the production rate, 5 cities in Iran with different weather conditions have been considered. According to the results, it can be mentioned that the highest production power by the studied system is related to Shiraz city with an average production of 20 kW/m2, and among the cities studied, the lowest rate is related to Mashhad with a production power of 15 kW/m2. (shrink)

This study provides a ‘pyramid of hate’ perspective on issues and challenges facing minority religious communities in social and political climates that bestow permission to hate. Previous research shows that adverse social stereotypes and biases, together with non-inclusive policies and practices at the level of the state, create an enabling environment that signals the legitimacy of public hostility towards a minority community. This paper argues that such climates of hate within and outside the workplace may be better understood by paying (...) attention to the multiple levels of hate, i.e., biased attitudes, biased actions, discrimination and violence. In its extreme form, such climate may lead to indiscriminate massacres and genocide. This contextual study draws on interviews with 76 Shia Muslim professionals and employees in Pakistan to provide a ‘pyramid of hate’ perspective on issues of bias, discrimination and violence facing them. The study unveils a range of experiences, from subtle bias and stereotyping to blatant harassment, discrimination and hostilities facing Shia professionals and employees in Pakistan. The study is unique as it integrates the notion of pyramid of hate into management and organization studies and advances this theory by examining issues of sect-based bias, discrimination and violence within one religion. (shrink)

v. 1. Introduction to the study of Qurʼan -- v. 2. Surat ul-Faateha to Surat-ul-Baqarah (sections 1-21) -- v. 3. Surat-ul-Baqarah (sections 22 to 37) -- v. 4. Surat-ul-Baqarah (sections 38-40), Surat Aal-e-Imran, Surat-un-Nisa (sections 1 and 2) -- v. 5. Surat-un-Nisa (sections 3 to 24), Surat Al-Maaʼidah (complete), Surat Al-Anʼaam (sections 1-5) -- v. 6. Surat Al-Anʼaam (sections 6-20) -- v. 7. Surat Yunus to Surat Ibrahim -- v. 8. Surat al-Hijr to Surat al-kahf -- v. 9. Surat Maryam (...) to Surat-ul-Moʼminoon -- v. 10. Surat-un-Noor to Surat-ul-Qasas -- v. 11. Suratul Ankaboot to Surat Faatir -- v. 12. Surat Yaaseen to Surat-ush-Shoora -- v. 13. Surat Zukhruf to Surat Toor -- v. 14. Surat-un-Najm to Surat-ul-Munafiqoon -- v. 15. Surat-at-Taghaabun to Surat-al-Infitaar -- v. 16. Surat-at-Tateef to surat-an-Naas. (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)

The primary goal of this paper is to read al-Fārābī’s Kitāb al-shiʿr [Book of poetry] between the lines. Though it touches upon his other treatises on poetry and poetics, i.e., Risāla fī qawānīn ṣināʿat al-shuʿarāʾ [Essay on the rules of the art of the poets] and Qawl al-Fārābī fī al-tanāsub wa-l-taʾlīf [al-Fārābī’s saying on harmony and composition), it does so only in passing. Emphasizing the primacy of mimesis (muḥākat) in al-Fārābī’s discussion of poetics, this paper demonstrates how poeticity (shiʿriyya), according (...) to al-Fārābī, goes beyond being a mere “textual” or “oral” quality to even encompass various human actions and activities. In doing so, it also underscores how al-Fārābī’s definition(s) of mimesis is not reducible to comparison, simile, metaphoror even the extended metaphor. (shrink)

When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...) asymptotic properties of the distributions that belong to the minimum domain of attraction of the Weibull distribution are revealed. Furthermore, extensive simulation studies are conducted to demonstrate the efficiency of the proposed methods. Two real datasets are analyzed to illustrate and corroborate the obtained results. The main results concern large samples. (shrink)

Nanotechnology presents significant challenges in terms of developing a regulatory framework. This is due to a lack of scientific knowledge about the behaviour of the technology in its interactions with biological and ecological processes, the environment and other technologies. Crucially, there is a great deal of uncertainty surrounding the potential environmental and human health and safety impacts of NT. Consequently, the development of NT is a potential test case for framing new models of ‘soft law’ voluntary governance as a substitute (...) for traditional command and control type regulation. Driven by ‘new science governance,’ an approach based on a combination of ideas in anticipatory ethics, future-oriented responsibility, upstream public engagement and deliberation and theories of justice may offer a solution. The uniqueness of the approach can be found in the incorporation of anticipatory approaches via public participation and deliberation as the input into procedural justice approaches with distributional justice as the output. The overarching objective of this work is to contribute to the discussion in relation to the internalisation of responsibility and the building of intellectual and societal capacity to anticipate negative consequences before they arise in the hope that such an approach could be the antithesis of the retrospective imposition of responsibility and liability after the harm is done, which is the outcome of traditional regulatory and ethical approaches. Ultimately, the purpose is to contribute to the long-term sustainability of NT. (shrink)

Most models of corporate social responsibility revolve around the controversy as to whether business is a single dimensional entity of profit maximization or a multi-dimensional entity serving greater societal interests. Furthermore, the models are mostly descriptive in nature and are based on the experiences of western countries. There has been little attempt to develop a model that accounts for corporate social responsibility in diverse environments with differing socio-cultural and market settings. In this paper an attempt has been made to fill (...) this gap by developing a two-dimensional model of corporate social responsibility and empirically testing its validity in the context of two dissimilar cultures – Australia and Bangladesh. The two dimensions are the span of corporate responsibility and the range of outcomes of social commitments of businesses. The test results confirm the validity of the two-dimensional model in the two environments. The Factor analysis revealed two leading dimensions. Cluster analysis pointed to two distinctive clusters of managers in both Australia and Bangladesh, one consisting of managers with a broad contemporary concept of social responsibility, and the other with a limited narrow view. The paper concludes that corporate social responsibility is two-dimensional and universal in nature and that differing cultural and market settings in which managers operate may have little impact on the ethical perceptions of corporate managers. (shrink)

In this article, I present a critique of Robert Geraci's Apocalyptic artificial intelligence (AI) discourse, drawing attention to certain shortcomings which become apparent when the analytical lens shifts from religion to the race–religion nexus. Building on earlier work, I explore the phenomenon of existential risk associated with Apocalyptic AI in relation to “White Crisis,” a modern racial phenomenon with premodern religious origins. Adopting a critical race theoretical and decolonial perspective, I argue that all three phenomena are entangled and they should (...) be understood as a strategy, albeit perhaps merely rhetorical, for maintaining white hegemony under nonwhite contestation. I further suggest that this claim can be shown to be supported by the disclosure of continuity through change in the long‐durée entanglement of race and religion associated with the establishment, maintenance, expansion, and refinement of the modern/colonial world system if and when such phenomena are understood as iterative shifts in a programmatic trajectory of domination which might usefully be framed as “algorithmic racism.”. (shrink)

To determine the attitude of general practitioners towards continuing medical education and reasons motivating or hindering them from attending CME procedures, we conducted a cross-sectional survey from November 2013 to April 2014 in Karachi. Three hundred general practitioners who possessed a medical license for practice in Pakistan filled a pre-designed questionnaire consisting of questions pertaining to attitudes towards CME. Data was entered and analyzed using SPSS v16.0. 70.3% of the participants were males. Mean age was 47.75 ± 9.47 years. Only (...) 67.33% knew about CME and only 52% had attended a CME session. Reasons for attending CME procedures reported were: need for updating knowledge, skills and competencies, opportunity to meet colleagues and presenting scientific papers. Mean Likert score was 1.67 for those who thought CME is worthwhile and 1.44 for those who consider their clinical duties as the major hurdle in attending CME procedures. Most common cause for not attending CME was lack of knowledge followed by time constraint. Most physicians were not sufficiently informed about the potential benefits of CME and had never attended a CME session. Most common reason for attending CME procedures reported was need for updating knowledge, skills and competencies while reasons hindering physicians from attending CME were lack of knowledge and time constraint. (shrink)

We describe a knowledge representation and inference formalism, based on an intensional propositional semantic network, in which variables are structures terms consisting of quantifier, type, and other information. This has three important consequences for natural language processing. First, this leads to an extended, more natural formalism whose use and representations are consistent with the use of variables in natural language in two ways: the structure of representations mirrors the structure of the language and allows re-use phenomena such as pronouns and (...) ellipsis. Second, the formalism allows the specification of description subsumption as a partial ordering on related concepts (variable nodes in a semantic network) that relates more general concepts to more specific instances of that concept, as is done in language. Finally, this structured variable representation simplifies the resolution of some representational difficulties with certain classes of natural language sentences, namely, donkey sentences and sentences involving branching quantifiers. The implementation of this formalism is called ANALOG (A NAtural LOGIC) and its utility for natural language processing tasks is illustrated. (shrink)

THIS little work embodies the substance of a lecture delivered to the Society for the Higher Training of Youths, and forms a mere attempt towards the exposition ...

This study addresses the critical shortage of parallel corpora for the Kashmiri language, a significant barrier to advancing language processing technologies for under-resourced languages. Despite Kashmiri's rich cultural heritage, the development of language technology resources, especially parallel corpora, has been notably limited. Our research involves a detailed analysis of the only available parallel corpora for Kashmiri, utilizing these datasets to develop and evaluate Neural Machine Translation (NMT) models. Through this evaluation, we categorize errors and assess the corpora's adequacy in quality (...) and quantity for supporting effective language processing tasks. Additionally, we investigate the reasons behind the scarcity of high-quality resources and identify the challenges inherent in creating robust parallel corpora for Kashmiri. By proposing solutions to these challenges, our study aims to contribute to the revitalization and global recognition of the Kashmiri language, bridging a significant gap in the field of language technology and emphasizing the importance of parallel corpora in preserving linguistic diversity and facilitating technological advancement. (shrink)