The food security of more than half of the world’s population depends on rice production which is one of the key objectives of precision agriculture. The traditional rice almanac used astronomical and climate factors to estimate yield response. However, this research integrated meteorological, agro-chemical, and soil physiographic factors for yield response prediction. Besides, the impact of those factors on the production of three major rice ecotypes has also been studied in this research. Moreover, this study found a different set of (...) those factors with respect to the yield response of different rice ecotypes. Machine learning algorithms named Extreme Gradient Boosting and Support Vector Regression have been used for predicting the yield response. The SVR shows better results than XGBoost for predicting the yield of the Aus rice ecotype, whereas XGBoost performs better for forecasting the yield of the Aman and Boro rice ecotypes. The result shows that the root mean squared error of three different ecotypes are in between 9.38% and 24.37% and that of R-squared values are between 89.74% and 99.13% on two different machine learning algorithms. Moreover, the explainability of the models is also shown in this study with the help of the explainable artificial intelligence model called Local Interpretable Model-Agnostic Explanations. (shrink)

Social capital and scaling social impact are two of the most important concepts within social entrepreneurship and social enterprise research. However, what role social capital plays in scaling social impact is less understood and academic literatures on the connection of these two crucial concepts are fragmented and scattered. To fill this research gap, we have conducted a bibliometric review to inform academics and researchers the salient agents in the field and categorize the conceptual structure of the knowledge base. Using science (...) mapping techniques, we have analyzed 1549 relevant documents from SCOPUS that are published between 1986 and 2021. The primary objective of this review is to uncover the size, growth trajectory, and geographic distribution of literatures related to social capital's role in scaling social impact. Additionally, we have also analyzed key publishing journals, authors, and documents to map the intellectual structure and research fronts of the domain. The review shows that there is a reasonable accumulation of scientific knowledge concerning social capital's role in scaling social impact in the last three decades. Another key finding is that, some of the keywords identified within the research fronts are closely aligned with a number of UN-SDG goals. This is the first study to systematically map social capital's role in scaling social impact literature with the help of a science mapping tool called bibliometric analysis. This work provides a clear overview of the evolution of the research field and presents potentially important research gaps that require further attention. (shrink)

The focus of this paper is to develop a comprehensive conceptual framework for the relationship between internal employer brand image and talent retention. An extensive and semi-systematic literature review identified a number of antecedents and consequences that have been empirically tested in various cutting-edge research studies that were conducted around the world. The existing literature is reviewed using a topical approach, and 66 research studies, most recent from various repositories, were carefully chosen and reviewed based on the criteria. Such studies (...) have been discerned and synthesized in order to establish a complete and accurate understanding of the phenomenon. Finally, a comprehensive and relatively rich conceptual framework has been proposed for future empirical explanations in various social settings via prospective research. (shrink)

The main aim of this paper is to assess the level of knowledge, attitude and practice of university teachers regarding plagiarism in Bangladesh. An online questionnaire consisted of 20 knowledge questions, 23 attitude items, and 18 practice questions was created using Google Forms. The link to the questionnaire was sent via email to university teachers. The total correct answers for knowledge and practice questions, and the total attitude score were converted to percentile scores and categorized accordingly as poor ( mean (...) + 1 SD). Bivariate analyses were conducted to compare the total knowledge, attitude and practice scores based on demographic and academic variables. Multiple linear regressions were used to identify the association between knowledge, attitude and practice scores, and other covariates. The findings revealed an average level of knowledge, attitude and practice regarding plagiarism among the majority of university teachers. The knowledge, attitude and practice scores were significantly higher for teachers who attended academic writing workshops compared to those who did not attend such events. Demographic and academic variables did not impact knowledge and attitude scores. However, the number of papers published in the last two years and their indexing in Web of Science (WoS) or Scopus significantly impacted attitude and knowledge scores. The multiple regression analyses showed that the practice score was significantly associated with age, highest education, and knowledge. (shrink)

The purpose of this paper is to investigate the nature of rhetoric and rhetorical strategies that are implicit in the standalone sustainability reporting of the top 24 companies of the Fortune 500 Global. We adopt Bormann’s :396–407, 1972) SCT framework to study the rhetorical situation and how corporate sustainability reporting messages can be communicated to the audience. The SCT concepts in the sustainability reporting’s communication are subject to different types of legitimacy strategies that are used by corporations as a validity (...) and legitimacy claim in the reports. A content analysis has been conducted and structural coding schemes have been developed based on the literature. The schemes are applied to the SCT model which recognizes the symbolic convergent processes of fantasy among communicators in a Society. The study reveals that most of the sample companies communicate fantasy type and rhetorical vision in their corporate sustainability reporting. However, the disclosure or messages are different across locations and other taxonomies of the SCT framework. This study contributes to the current CSR literature about how symbolic or fantasy understandings can be interpreted by the users. It also discusses the persuasion styles that are adopted by the companies for communication purposes. This study is the theoretical extension of the SCT. Researchers may be interested in further investigating other online communication paths, such as human rights reports and director’s reports. (shrink)

The impetus of this study is to gauge the nexus between economic policy uncertainty and financial innovation in Brazil, Russia, India, China, and South Africa nations for the period from 2004M1 to 2018M12. This study utilizes both the linear and non-linear autoregressive distributed lag models to evaluate the long-run and the short-run association between EPU and financial innovation; furthermore, the causal effects are investigated by following the non-Granger casualty framework. The results of long-run cointegration, i.e., the test statistics of modified (...) F-test, standard Wald test, and tBDM, reject the null hypothesis and establish the presence of the long-run association between EPU and financial innovation. Conversely, long-run asymmetry cointegration revealed the test statistics of FPSS, WPSS, and tBDM in non-linear estimation. Furthermore, both in the long run and short run, the Wald test results disclose asymmetric effects running from EPU to financial innovation. In regards to the asymmetric impact of EPU on financial innovation, this study documents that the positive and negative shocks in EPU are negatively linked with financial innovation in the long run but are insignificant for short-run effects. Besides, financial innovation measured by R&D investment exhibits a positive linkage with shocks in EPU, implying that uncertainty induces innovation in the economy. Referring to causality effects, this study divulges the feedback hypothesis, i.e., bidirectional causality prevails between EPU and financial innovation in all sample countries. (shrink)

The integration of cellular networks and vehicular networks is complex and heterogeneous. Synchronization among vehicles in heterogeneous vehicular clusters plays an important role in effective data sharing and the stability of the cluster. This synchronization depends on the smooth exchange of information between vehicles and remote servers over the Internet. The remote servers predict road traffic patterns by adopting deep learning methods to help drivers on the roads. At the same time, local data processing at the vehicular cluster level may (...) increase the capabilities of remote servers. However, global positioning system signal interruption, especially in the urban environment, plays a big part in the detritions of synchronization among the vehicles that lead to the instability of the cluster. Instability of connections is a major hurdle in developing cost-effective solutions for deriving assistance and route planning applications. To solve this problem, a self-localization scheme within the vehicular cluster is proposed. The proposed self-localization scheme handles GPS signal interruption to the vehicle within the cluster. A unique clustering criterion and a synchronization mechanism for sharing traffic information system data among multiple vehicles are developed. The developed scheme is simulated and compared with existing known approaches. The results show the better performance of our proposed scheme over others. (shrink)

Japan has been reported as a country with high levels of vaccine hesitancy. However, a lack of comprehensive reviews studying factors for vaccine hesitancy for the COVID-19 vaccines in the Japanese context from the perspective of ethical controversy exists. Using a narrative review method, we reviewed factors associated with vaccine hesitancy to the COVID-19 vaccines and examined issues related to ethical controversy among the Japanese population. Factors associated with vaccine hesitancy include concerns about vaccine safety, suspicion of vaccine inefficacy, mistrust (...) of the government, and low perceived threat. Factors associated with vaccine acceptance include environmental factors, factors related to Japanese cultural values, including collectivism and social norms, and positive attitudes toward information provided by authorities. Unique backgrounds in Japan are historical events such as the anti-HPV vaccine campaigns, the accessible medical system fostering high expectations of zero risk, and cultural factors of caring social norms influencing vaccine acceptance. Ethical controversies arise from preferences and practices at the individual or national level around individual rights versus public health benefits. Healthcare professionals and public health experts should continue dialoguing with the critical mass, practitioners, and policymakers, considering the ethical dilemmas surrounding individual rights and public health benefits. Insights obtained from this study indicate the need to develop tailored strategies to enhance vaccine acceptance while respecting individual autonomy within the Japanese context. (shrink)

AimThe aim of this study was to determine the presence of depressive symptoms and understand the potential factors associated with these symptoms among physicians in Bangladesh during the COVID-19 pandemic.MethodsA cross-sectional study using an online survey was conducted in between April 21 and May 10, 2020, among physicians living in Bangladesh. Participants completed a series of demographic questions, COVID-19-related questions, and the Patient Health Questionnaire-9. Descriptive statistics, test statistics were performed to explore the association between physicians’ experience of depression symptoms (...) and other study variables. Stepwise binary logistic regression was followed while conducting the multivariable analysis.ResultA total of 390 physicians completed the survey. Of them, 283 were found to be experiencing depressive symptoms. Predictors which were significantly associated with depressive symptoms were gender, the presence of sleep disturbance, being highly exposed to media coverage about the pandemic, and fear around COVID-19 infection, being assaulted/humiliated by regulatory forces and by the general public, while traveling to and from the hospital and treating patients during the countrywide lockdown.ConclusionThe findings of this study demonstrate that there is a high prevalence of depressive symptom among physicians especially among female physicians in Bangladesh during the COVID-19 pandemic. Immediate, adequate and effective interventions addressing gender specific needs are required amid this ongoing crisis and beyond. (shrink)

Dear Readers,Welcome to this issue of our beloved Bangladesh Journal of Bioethics! In this sweltering heat we are all seeking for some cool and comfort. We bring this issue of BJB on different ethical practices and bring up related questions. Are we respecting the rights of every human being when we are either doing research or practicing health service provision? What are the minimum norms and standards to be maintained or are we circumventing those? The issue looks into different issues (...) and provides us with indepth information, queries, fears and reservations.In the article on Knowledge, attitude and practice of medical ethics among medical intern students in a Medical College in Kathmandu, Ramesh P Aacharyaand Yagya L Shakya, report on a Knowledge Attitude and Practice survey of 46 medical undergraduate interns of Maharajgunj Medical Campus. The result of the survey is quite interesting. ‘Doctors know the best irrespective of patients’ opinion was agreed upon by 35 %, ‘Confidentiality cannot be kept in modern era and should be abandoned’ was strongly disagreed by 34.8% and disagreed by 60.9%. The Authors hope that the findings will assist the faculties to strengthen the teaching of medical ethics and guiding the interns for ethical professional conduct. In the article titled Organizational Justice and Employee’s Service Behavior in the Healthcare Organizations in Bangladesh is an agenda for Research, Md. Nuruzzaman and Md. Humayun Kabir Talukder present a conceptual framework and a set of hypotheses regarding the relationships among distributive justice, procedural justice, interactional justice, employee’s citizenship behaviour, role prescribed behaviour and counterproductive behavior in the healthcare organizations in Bangladesh. The authors state that the purpose is to assist the policy makers and service providers in identifying desirable and undesirable HRM practices in order to maintain optimum level of employee commitment for ensuring quality and efficient service delivery to the communities. Though the article is theoretical it may be useful for the policy makers and service providers. If an operational research could be carried out to test the hypothesis the practical utility of the concept could be tested in Bangladesh.Zoheb Rafique in the article Ethical Justification of Conducting Research Trials in Lower and Middle Income Countries Including Pakistan: The Responsibilities of Research Enterprises explores the ethical aspects of research sponsored by commercial agencies. He looks into the factors that influence selection of a study site for a sponsored trial particularly in traditional countries like Pakistan where cultural values add to the problem in assuring that research is conducted in an ethical manner. In this paper, the Author discusses the responsibilities of researchers and funders in low and middle income countries like Pakistan and the ethical justifications of doing research trials in developing countries. He concludes that research participants should be fully informed about the research trial and their participation and it is their right to know all risks and benefits so that they have the option of rejecting participation.The article on Ethical aspects of Dhaka University Tele-medicine System by Ahmed Raihan Abir provides and analysis of the tele- medicine system in Dhaka University. The Author is a member of an extended group at Dhaka University (DU) which has been developing telemedicine equipment and data acquisition software to promote telemedicine practice in Bangladesh. Recently the Telemedicine group of DU and a local NGO named SAMAMA with support from Service innovation fund (SIF) of the Prime Minister Office (PMO) of Bangladesh took the initiative to establish eight rural telemedicine centers and one expert center for the field trial of telemedicine in Bangladesh. The aim of this paper is to examine the ethical challenges of such health care system and the effort to overcome these problems before starting the field trial. The author looks into the details of Data confidentiality and security, Responsibilities of Doctor and Rural Technician, Quality of service and Implications of telemedicine in Bangladesh. He concludes that DU telemedicine project will essentially bring the services of qualified medical experts to the doorsteps of the common people throughout the country, even in the remote rural areas. Although a telemedicine cannot match a face to face consultation, DU tele-medicine system is much better than no consultation at all.Sifat Rahman in the article on Ethical Issues of Fair Subject Selection in Research provides an overview of the criterion for maintaining ethical standards for conducting research. The Author reviews the three fundamental conditions to be met for adhering to strict ethical standards which are: Respect for Persons by protecting the autonomy of people, treating them with courtesy and respect and obtaining informed consent.; Beneficence which incorporates the philosophy of "Do no harm" while maximizing benefits for the research project and minimizing risks to the research subjects; and Justice by ensuring that reasonable, non-exploitative, and well-considered procedures are administered fairly. Finally the Author concludes that Researchers must be truthful and conduct no deception.Dear Readers, as you can see from the above ethics and maintaining the values in research and services are of utmost importance in the improvement of the quality of life. Through our queries, questions and sense of respect for every living being can our endeavors to ensure ethics in all spheres of development be successful.Dear Readers, please keep on sending your articles, notes or thoughts to us. Your participation will make a difference in the quality of our lives.Best regardsTahera AhmedEditor. (shrink)

Air temperature prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system, hybrid neural-fuzzy inference system, and adaptive neurofuzzy inference system for AT prediction. Modelling was done for three stations in North Dakota, USA, i.e., Robinson, Ada, and Hillsboro. The results reveal that FIS type models are well suited when handling highly (...) variable data, such as AT, which shows a high positive correlation with average daily dew point, total solar radiation, and negative correlation with average wind speed. At the Robinson station, DENFIS performed the best with a coefficient of determination of 0.96 and a modified index of agreement of 0.92, followed by ANFIS with R2 of 0.94 and md of 0.89, and HyFIS with R2 of 0.90 and md of 0.84. A similar result was observed for the other two stations, i.e., Ada and Hillsboro stations where DENFIS performed the best with R2: 0.953/0.960, md: 0.903/0.912, then ANFIS with R2: 0.943/0.942, md: 0.888/0.890, and HyFIS with R2: 0.908/0.905, md: 0.845/0.821, respectively. It can be concluded that all three models are capable of predicting AT with high efficiency by only using DP, TSR, and WS as input variables. This makes the application of these models more reliable for a meteorological variable with the need for the least number of input variables. The study can be valuable for the areas where the climatological and seasonal variations are studied and will allow providing excellent prediction results with the least error margin and without a huge expenditure. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Feminist Studies 41, no. 3. © 2015 by Kathryn Kein 671 Kathryn Kein Recovering Our Sense of Humor: New Directions in Feminist Humor Studies At the 2014 annual meeting of the American Studies Association (ASA), the Humor Studies Caucus held a panel titled “Female Comedians and the Critical Power of Laughter.” After listening to presentations on Gilda Radner, Lily Tomlin, and Black women comedians’ 1960s comedy albums, one audience (...) member asked the panel if the classic theories of humor—Freud’s theory of the joke, Bergson’s thoughts on laughter (all conceived of in relation to the work of men)—applied when analyzing female comedic performers. One panelist immediately responded that she found none of those theories useful to her work on female comedians, and that instead she used queer theory to aid her analysis. This exchange at ASA points to many of the questions that scholars of humor and feminism are currently facing as they work to address a dearth of scholarship dealing with women, feminism, and comedy. The nods in agreement around the room spoke to the notion that scholarship on the topic of women in comedy is not merely filling in gaps, but breaking new ground. With a few notable exceptions, scholars have been relatively silent on topics involving women and/in comedy.1 The meager 1. See Susanne Lavin, Women and Comedy in Solo Performance: Phyllis Diller, Lily Tomlin, and Roseanne (New York: Routledge, 2004); June Sochen, ed., Women’s Comic Visions (Detroit, MI: Wayne State University Press, 1991); John Limon, “Skirting, Kidding: Ellen Degeneres and Paula Poundstone,” in 672 Kathryn Kein scholarly space devoted to feminism and humor is likely shaped by the fraught relationship women and feminism have had with humor in our cultural imagination. Women have long battled a perception that they, as a sex, are biologically not funny. Men have always vastly outnumbered women on stand-up stages and in comedy writers’ rooms. Former Saturday Night Live writer Anne Beatts recalled that star John Belushi, being of the “chicks-aren’t-funny” school, often requested that the women writers be fired.2 In her bestselling Bossypants, Tina Fey recalls that the gender imbalance of the sketch comedy teams at Chicago’s Second City were due to the fact that directors believed “the audience doesn’t want to see a scene between two women.”3 In his 2007 piece in Vanity Fair brashly titled “Why Women Aren’t Funny,” Christopher Hitchens went so far as to call women and humor “antithetical.”4 In particular, feminist women have been painted as humorless and unable to take a joke. In The Promise of Happiness, Sarah Ahmed, defining her figure of the feminist killjoy, observes that “feminists are typically represented as grumpy his Stand-Up Comedy in Theory, or, Abjection in America (Durham, NC: Duke University Press, 2000). 2. For further accounts of women comedy writers’ and performers’ experiences, see Yael Kohen, We Killed: The Rise of Women in American Comedy: A Very Oral History (New York: Sarah Crichton Books, 2012). 3. Tina Fey, Bossypants (New York: Little, Brown, and Company, 2011), 87. 4. Christopher Hitchens, “Why Women Aren’t Funny,” Vanity Fair 557 (2007): 54 Books Discussed in This Essay All Joking Aside: American Humor and Its Discontents. By Rebecca Krefting. Baltimore, MD: Johns Hopkins University Press, 2014. Pretty/Funny: Women Comedians and Body Politics. By Linda Mizejewski. Austin: University of Texas Press, 2014. The Queer Cultural Work of Lily Tomlin and Jane Wagner. By Jennifer Reed. New York: Palgrave Macmillan, 2013. Kathryn Kein 673 and humorless.”5 In a variation of the age-old joke, when a jokester asks, “How many feminists does it take to change a light bulb?” the respondent doesn’t say “How many?” but instead deadpans, “That’s not funny.” In different ways, the three books reviewed in this essay take up the conversation at ASA and tackle these same questions: How do we analyze humor produced by (and for?) women when our understanding of humor is decidedly male? What omissions have the gendered assumptions about humor caused in scholarship on feminism? How does humor work to address these assumptions? And how does the backdrop of these assumptions influence the comedy... (shrink)

Ethical review systems need to build on their experiences of COVID-19 research to enhance their preparedness for future pandemics. Recommendations from representatives from over twenty countries include: improving relationships across the research ecosystem; demonstrating willingness to reform and adapt systems and processes; and making the case robustly for better resourcing.

BackgroundBurnout is a syndrome that results from stressors in the work environment that have not been successfully managed. The prevalence of burnout among schoolteachers was always controversial. COVID-19 pandemic added more stressors to teachers since they had to change their working styles in response to the pandemic lockdowns or curfews. In Saudi Arabia, the prevalence and determinants of burnout among school teachers were not measured by any other group during the COVID-19 pandemic stressors.MethodsA cross-sectional survey was conducted among 879 teachers (...) in the Jazan region, Saudi Arabia, using the Maslach Burnout Inventory, during April 2021. Multistage cluster random sampling was used.ResultsThe mean age of the participants was 41.4 years. Male teachers represented 52.6% of the participants while females represented 47.4%. Most teachers showed burnout symptoms. Consequences of burnout were observed, such as using psychotropic medications, absenteeism, lack of job satisfaction, and changing schools. Using the MBI scale, most teachers showed medium or high emotional exhaustion, low depersonalization, and low personal accomplishment.ConclusionMost teachers showed symptoms of burnout during the COVID-19 pandemic. Being an expert and ability to adapt to technology during the COVID-19 pandemic proved to effectively reduce burnout symptoms. Increasing incentives, early detection, and improving the work environment is recommended to diminish burnout consequences. (shrink)

Trolley dilemmas have been used to justify the intuitive appeal of the doctrine of double effect. According to this doctrine, if a good action has a harmful side effect, it is morally acceptable to do it, provided the harmful effect is not intended. However, in some variants of the dilemma, most people are willing to forego this doctrine, thus making responses inconsistent. In this study, 404 university students from the United Arab Emirates (UAE) were presented with 4 versions of the (...) trolley dilemma. Results came out showing that higher levels of depressive symptoms predict greater consistency in adherence (or rejection) to the doctrine of double effect. Likewise, higher levels of depressive symptom predict utilitarian responses to trolley dilemmas. Anxiety symptoms had similar effects, but more moderate. Demographic variables (age, gender) were also assessed as predictors of responses and consistency to trolley scenarios, but no significant effects were found. (shrink)

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)

This study investigates whether audit partner gender is associated with the extent of auditor disclosure and the communication style regarding risks of material misstatements that are classified as key audit matters. Using a sample of UK firms during the 2013–2017 period, our results suggest that female audit partners are more likely than male audit partners to disclose more KAMs with more details after controlling for both client and audit firm attributes. Furthermore, female audit partners are found to use a less (...) optimistic tone and provide less readable audit reports, compared to their male counterparts, suggesting that behavioural variances between female and male audit partners may have significant implications on their writing style. Therefore, this study offers new insights on the role of audit partner gender in extended audit reporting. Our findings have important implications for audit firms, investors, policymakers and governments in relation to the development, implementation and enforcement of gender diversity. (shrink)

Introduction: find your way -- Orientations toward objects -- Sexual orientation -- The orient and other others -- Conclusion: disorientation and queer objects.

Adopting an Ethics of Care theoretical framework, this paper aims to investigate the way in which the owner-mangers (OMs) of small and medium-sized enterprises in Malaysia engage in human resource management. Based on in-depth interviews with 48 OMs, the findings show that HRM practices occur within the remit of management but are described by the managers in terms of relational obligations and cannot be fully accounted for using a strategic, instrumental, or critical lens. The present study highlights the importance of (...) the caring attitudes of OMs who adopt a humanistic management approach, responding to the varied needs of their employees and the obligations which are inherent to relationships between humans. (shrink)

Unfounded—conspiracy and health—beliefs about COVID-19 have accompanied the pandemic worldwide. Here, we examined cross-nationally the structure and correlates of these beliefs with an 8-item scale, using a multigroup confirmatory factor analysis. We obtained a two-factor model of unfounded (conspiracy and health) beliefs with good internal structure (average CFI = 0.98, RMSEA = 0.05, SRMR = 0.04), but a high correlation between the two factors (average latent factor correlation = 0.57). This model was replicable across 50 countries (total N = 13,579), (...) as evidenced by metric invariance between countries (CFI = 0.96, RMSEA = 0.06, SRMS = 0.07) as well as scalar invariance across genders (CFI = 0.98, RMSEA = 0.04, SRMS = 0.03) and educational levels (CFI = 0.98, RMSEA = 0.04, SRMS = 0.03). Also, lower levels of education, more fear of COVID-19, and more cynicism were weakly associated with stronger conspiracy and health beliefs. The study contributes to knowledge about the structure of unfounded beliefs, and reveals the potential relevance of affective (i.e., fear of COVID-19) and cognitive (i.e., cynicism) factors along with demographics, in endorsing such beliefs. In summary, we obtained cross-cultural evidence for the distinctiveness of unfounded conspiracy and health beliefs about COVID-19 in terms of their structure and correlates. (shrink)

Abstract: Background: In spite of the fact that computers continue to improve in speed and functions operation, they remain complex to use. Problems frequently happen, and it is hard to resolve or find solutions for them. This paper outlines the significance and feasibility of building a desktop PC problems diagnosis system. The system gathers problem symptoms from users’ desktops, rather than the user describes his/her problems to primary search engines. It automatically searches global databases of problem symptoms and solutions, and (...) also allows ordinary users to contribute exact problem reports in a structured manner. Objectives: The main goal of this Knowledge Based System is to get the suitable problem desktop PC symptoms and the correct way to solve the errors. Methods: In this paper the design of the proposed Knowledge Based System which was produced to help users of desktop PC in knowing many of the problems and error such as : Power supply problems, CPU errors, RAM dumping error, hard disk errors and bad sectors and suddenly restarting PC. The proposed Knowledge Based System presents an overview about desktop PC hardware errors are given, the cause of fault are outlined and the solution to the problems whenever possible is given out. CLIPS Knowledge Based System language was used for designing and implementing the proposed expert system. Results: The proposed PC desktop troubleshooting Knowledge Based System was evaluated by IT students and they were satisfied with its performance. (shrink)

With the rapid growth of informatics systems’ technology in this modern age, the Internet of Things (IoT) has become more valuable and vital to everyday life in many ways. IoT applications are now more popular than they used to be due to the availability of many gadgets that work as IoT enablers, including smartwatches, smartphones, security cameras, and smart sensors. However, the insecure nature of IoT devices has led to several difficulties, one of which is distributed denial-of-service (DDoS) attacks. IoT (...) systems have several security limitations due to their disreputability characteristics, like dynamic communication between IoT devices. The dynamic communications resulted from the limited resources of these devices, such as their data storage and processing units. Recently, many attempts have been made to develop intelligent models to protect IoT networks against DDoS attacks. The main ongoing research issue is developing a model capable of protecting the network from DDoS attacks that is sensitive to various classes of DDoS and can recognize legitimate traffic to avoid false alarms. Subsequently, this study proposes combining three deep learning algorithms, namely recurrent neural network (RNN), long short-term memory (LSTM)-RNN, and convolutional neural network (CNN), to build a bidirectional CNN-BiLSTM DDoS detection model. The RNN, CNN, LSTM, and CNN-BiLSTM are implemented and tested to determine the most effective model against DDoS attacks that can accurately detect and distinguish DDoS from legitimate traffic. The intrusion detection evaluation dataset (CICIDS2017) is used to provide more realistic detection. The CICIDS2017 dataset includes benign and up-to-date examples of typical attacks, closely matching real-world data of Packet Capture. The four models are tested and assessed using Confusion Metrix against four commonly used criteria: accuracy, precision, recall, and F-measure. The performance of the models is quite effective as they obtain an accuracy rate of around 99.00%, except for the CNN model, which achieves an accuracy of 98.82%. The CNN-BiLSTM achieves the best accuracy of 99.76% and precision of 98.90%. (shrink)

Clark1880, WGS1984, and ITRF08 are the reference systems used in Iraq. The ITRF08 and WGS84 represent the global reference frames. In the majority of instances, the transformation from one coordinate system to another is required. The ability of the artificial neural network to identify the connection between two coordinate systems without the need for a mathematical model is one of its most significant benefits. In this study, an ANN was employed for two-dimensional coordinate transformation from local Clark1880 to the global (...) reference system ITRF08. To accomplish so, 68 stations with known coordinates in both systems were utilized in this research and were split into two groups: the first set of data was used as the training data and the second set of data was used as the validation data. A root-mean-square error was used to examine the performance of each transformation. The results showed that the RMSE using the ANN was 0.08 m in the east and 0.17 m in the north. The results indicated that the ANN can be used for 2D coordinate transformation with the results that are better than those of the authorized techniques such as 2D conformal transformation and 2D conformal least square. (shrink)

The connected and acyclic components contained in a network are identified by the computation of its complexity, where complexity of a network refers to the total number of spanning trees present within. The article in hand deals with the enumeration of the complexity of various networks’ operations such as sum, product, difference K 2, n ⊖ K 2, and the conjunction of S n with K 2. All our computations have been concluded by implementation of the methods of linear algebra (...) and matrix theory. Our derivations will also be highlighted with the assistance of 3D plots at the end of this article. (shrink)

Floods are one of the most common natural disasters in the world that affect all aspects of life, including human beings, agriculture, industry, and education. Research for developing models of flood predictions has been ongoing for the past few years. These models are proposed and built-in proportion for risk reduction, policy proposition, loss of human lives, and property damages associated with floods. However, flood status prediction is a complex process and demands extensive analyses on the factors leading to the occurrence (...) of flooding. Consequently, this research proposes an Internet of Things-based flood status prediction (IoT-FSP) model that is used to facilitate the prediction of the rivers flood situation. The IoT-FSP model applies the Internet of Things architecture to facilitate the flood data acquisition process and three machine learning (ML) algorithms, which are Decision Tree (DT), Decision Jungle, and Random Forest, for the flood prediction process. The IoT-FSP model is implemented in MATLAB and Simulink as development platforms. The results show that the IoT-FSP model successfully performs the data acquisition and prediction tasks and achieves an average accuracy of 85.72% for the three-fold cross-validation results. The research finding shows that the DT scores the highest accuracy of 93.22%, precision of 92.85, and recall of 92.81 among the three ML algorithms. The ability of the ML algorithm to handle multivariate outputs of 13 different flood textual statuses provides the means of manifesting explainable artificial intelligence and enables the IoT-FSP model to act as an early warning and flood monitoring system. (shrink)

The temperament of the body is an essential constituent for health conservancy and diagnosis of several diseases. Hence, general body temperament and uterine dystemperament with abnormal vaginal discharge need evaluation. In addition, we also applied a computational intelligence technique for enhancing scientific validity to classify the warm-cold and wet-dry temperaments. This trial included a total of 66 participants with a vaginal discharge of reproductive age. Data included demographic characteristics of the participants, symptoms associated with vaginal discharge, women’s general temperament, and (...) symptoms of uterine dystemperament. Correlation between general body temperament and age, abnormal vaginal discharge, and its associated symptoms was also performed. Additionally, we used the Support Vector Machine-Radial Basis Function model to classify the warm-cold and wet-dry temperaments. Warm general temperament was highly prevalent, followed by moderate on the warm-cold temperament scale. In wet-dry temperament, moderate general body temperament was more prevalent. In warm-cold and wet-dry scores, 78.78% and 74.24% had warm and wet uterine dystemperament, respectively. The age and symptoms were correlated with general temperament. A strong positive correlation was found between warm general temperament and warm dystemperament of the uterus. In addition, our SVM-RBF CV-5 classification model achieved the highest accuracy. Our results showed that vaginal discharge is more common in warm general temperament and warm-wet dystemperament of the uterus. The same has been proven by computational intelligence. Nevertheless, vaginal discharge can also happen in normal and other temperaments. (shrink)

Increasingly, clinical research is evaluated on the quality of its statistical analysis. Traditionally, statistical analyses in clinical research have been carried out from a ‘frequentist’ perspective. The presence of an alternative paradigm – the Bayesian paradigm – has been relatively unknown in clinical research until recently. There is currently a growing interest in the use of Bayesian statistics in health care research. This is due both to a growing realization of the limitations of frequentist methods and to the ability of (...) Bayesian methods explicitly to incorporate prior expert knowledge and belief into the analyses. This is in contrast to frequentist methods, where prior experience and beliefs tend to be incorporated into the analyses in an ad hoc fashion. This paper outlines the frequentist and Bayesian paradigms. Acute myocardial infarction mortality data are then analysed from both a Bayesian and a frequentist perspective. In some analyses, the two methods are seen to produce comparable results; in others, they produce different results. It is noted that in this example, there are clinically relevant questions that are more easily addressed from a Bayesian perspective. Finally, areas in clinical research where Bayesian ideas are increasingly common are highlighted. (shrink)

The rapid growth of educational technology in higher education has led to the widespread use of Learning Management Systems (LMS) in distance learning. However, limited research has focused on measuring instructors' satisfaction with these systems, despite its critical role in course engagement and enhancing student interaction with course content. This study proposes a comprehensive framework for evaluating instructors' satisfaction with LMS usage. Thus; We adopted DeLone and McLean's Information System Success Model to empirically assess the relationships between Information Quality (INQ), (...) System Quality (SYQ), Service Quality (SQ), Perceived Usefulness (PU), User Loyalty (UL), and User Satisfaction (US). The results indicate that SQ has a greater effect on the US than SYQ, PU, and INQ. Moreover, the results show that the US has a significant direct influence on UL. The study focuses on higher education instructors and employs a questionnaire-based survey for data collection. Based on the results, it is recommended that LMS design should consider the needs of both instructors and students, incorporating the latest technological advancements. Neglecting instructors' satisfaction in LMS development could negatively influence the outcomes of distance learning courses. (shrink)

Differences That Matter challenges existing ways of theorising the relationship between feminism and postmodernism which ask 'is or should feminism be modern or postmodern?' Sara Ahmed suggests that postmodernism has been allowed to dictate feminist debates and calls instead for feminist theorists to speak (back) to postmodernism, rather than simply speak on (their relationship to) it. Such a 'speaking back' involves a refusal to position postmodernism as a generalisable condition of the world and requires closer readings of what postmodernism (...) is actually 'doing' in a variety of disciplinary contexts. Sara Ahmed hence examines constructions of postmodernism in relation to rights, ethics, subjectivity, authorship, meta-fiction and film. (shrink)

This paper argues that evidential decision theory is incompatible with options having objective values. If options have objective values, then it should always be rationally permissible for an agent to choose an option if they are certain that the option uniquely maximizes objective value. But, as we show, if options have objective values and evidential decision theory is true, then it is not always rationally permissible for an agent to choose an option if they are certain that the option uniquely (...) maximizes objective value. (shrink)

We revisit the flight-to-quality and flight-from-quality occurrences vis-à-vis the stock-bond nexus across differing investment time scales in the COVID-19 era, using a novel technique hinged on a denoised frequency-domain transfer entropy. Our findings divulge that flights, both FTQ and FFQ, could be attained during stress periods. Generally, in the intermediate term of the COVID-19 pandemic, both Islamic and conventional bonds could act as safe havens, diversifiers, and hedges for international equities, and the same could be observed for international equities. We (...) reiterate empirically that flights may improve the financial system’s stability and robustness by allowing diversity to be effective when it is most required. The findings have financial and portfolio implications for investors considering how to deploy their investments in the COVID-19 era. Our findings may impact policymakers’ responses to changes in various asset classes, allowing them to better monitor financial markets and adjust macroeconomic policies. (shrink)

Social media is a prominent communication platform. Its active usage permeates all generations and it is imperative that the platform be fully optimized for knowledge transfer and innovation diffusion. However, there are several considerations regarding platform usage, including media affordances. Social media affordances enable users to interact with the world around them through features of modality, agency, interactivity, and navigation. Previous studies have indicated that social media affordances significantly influence user behavior and usage. However, research exploring the effect of social (...) media affordances on knowledge acquisition and the reduction of decision-making complexities is limited. Therefore, focusing on 179 paddy farmers in Malaysia, this study examined the effect of social media affordances on information quality, knowledge acquisition, and complexity reduction regarding innovation adoption decisions using a quantitative approach. This study’s findings reveal that social media affordances have a significant effect on perceived information quality, knowledge acquisition, and complexity reduction. (shrink)

Muslim women and Muslim members of the Lesbian, Gay, Bisexual, and Transgender (LGBT) community face a specific form of dual subordination in relation to their gender and sexuality. A Muslim woman might seek solace from India's patriarchal religious judicial structures only to find that the secular system's patriarchal structures likewise aid in their subordination and create a space for new forms of such subordination. Similarly, a marginalized LGBT Muslim might attempt to reject an oppressive religious formulation only to come to (...) find that the secular Indian state might criminalize a particular form of sexuality. This analysis explores how Indian laws "give meaning" to sexuality through the legal structures manifested by state and religious regulatory bodies and argues that both religious and state legal institutions need to be reformed to create a legal environment that furthers rather than inhibits a full realization of sexual rights. (shrink)

Shifting laws and regulations increasingly displace the centrality of women's health concerns in the provision of abortion services. This is exemplified by the growing presence of deceptive Crisis Pregnancy Centers alongside new informed consent laws designed to dissuade women from seeking abortions. Litigation on informed consent is further complicated in the clinical context due to the increased mobilization of facts – such as the gestational age or sonogram of the fetus – delivered with the intent to dissuade women from accessing (...) abortion. In other words, factual information utilized for ideological purpose. To preserve a woman's autonomy and decision-making capacity, there must be a concerted effort on the part of legislators and courts to place a woman's health at the center of abortion law and policy. (shrink)

You should rather play hide-and-seek against someone who cannot predict where you hide than against someone who can, as the article illustrates in connection with a high-stakes example. Causal Decision Theory denies this. So Causal Decision Theory is false.