Software defects prediction at the initial period of the software development life cycle remains a critical and important assignment. Defect prediction and correctness leads to the assurance of the quality of software systems and has remained integral to study in the previous years. The quick forecast of imperfect or defective modules in software development can serve the development squad to use the existing assets competently and effectively to provide remarkable software products in a given short timeline. Hitherto, several researchers have (...) industrialized defect prediction models by utilizing statistical and machine learning techniques that are operative and effective approaches to pinpoint the defective modules. Tree family machine learning techniques are well-thought-out to be one of the finest and ordinarily used supervised learning methods. In this study, different tree family machine learning techniques are employed for software defect prediction using ten benchmark datasets. These techniques include Credal Decision Tree, Cost-Sensitive Decision Forest, Decision Stump, Forest by Penalizing Attributes, Hoeffding Tree, Decision Tree, Logistic Model Tree, Random Forest, Random Tree, and REP-Tree. Performance of each technique is evaluated using different measures, i.e., mean absolute error, relative absolute error, root mean squared error, root relative squared error, specificity, precision, recall, F-measure, G-measure, Matthew’s correlation coefficient, and accuracy. The overall outcomes of this paper suggested RF technique by producing best results in terms of reducing error rates as well as increasing accuracy on five datasets, i.e., AR3, PC1, PC2, PC3, and PC4. The average accuracy achieved by RF is 90.2238%. The comprehensive outcomes of this study can be used as a reference point for other researchers. Any assertion concerning the enhancement in prediction through any new model, technique, or framework can be benchmarked and verified. (shrink)

The coastal zone of Bangladesh is endowed with dynamic ‘Terrestrial’ and ‘Coastal and Marine ecosystem’. The zone confronts with declined environmental quality owing to unethical anthropogenic interventions. Few studies regarding ethical attitudes of local communities to conserve the coast were conducted earlier. Two objectives, such as (i) heavy metal concentration, and (ii) physio-chemical quality of sample soil and water were selected to reveal the environmental state of study area. Five heavy metals like- Cadmium, Copper, Iron, Lead, and Zinc; and four (...) physio-chemical parameters such as, the pH, Electrical Conductivity, Temperature, and Turbidity of sample soil and water were measured. The average concentration of Pb in soil is 10 times higher than world average (0.03 mg/g), while Cd concentration in soil is two times more than world average (0.11 mg/L). The concentration of Fe at Inani beach water is 1.54 mg/g more than world average (3.4 mg/g). The physio-chemical parameters are within standard range. Unethical discharge of toxic effluents from shrimp hatcheries, and municipal garbage are main sources of pollution, which ensue into environmental degradations. Concentration of five heavy metals and Calcium Carbonate (CaCO3) in sample mollusk shells exhibit biodiversity deterioration. The mollusk shells from Inani beach contains 0.04 mg/L Cd,0.08 mg/L Cu, 0.42 mg/L Fe, 0.38 mg/L Pb, and 0.07 mg/L Zn. The CaCO3 content in mollusk shells at Inani beach is 49.5%, which indicates the degradation of the mollusks, as shells normally are made with 95% - 97% Calcium Carbonate. Hence, the Department of Environment (DOE), Bangladesh (GoB) declared the area as an ‘Ecologically Critical Area’ (ECA). The concerned stakeholders, like- CPP volunteers and officials, Forest Division, Fisheries Research Institute, Bangladesh Water Development Board, Union Chairman and Journalists of Cox’s Bazar recommended insertion of moral values among local stakeholders through trainings, motivational lectures, demonstrations and dramas, as well as, incorporation of lessons about consequences of unethical activities upon geo-environment into text books. Though least practice has been found regarding moral values during survey, the present research advocates in developing ‘Knowledge pool’ about coastal environment, creating awareness, and developing moral ethics among the local, regional and national stakeholders. (shrink)

The debate in acknowledging street harassment as an existing social problem renders research necessary on the topic. Street harassment is said to occur when it takes place in a public setting and is initiated by a stranger. Through this correlation research, we aimed to establish the relationship between experiencing street harassment and fear of victimization. A positive correlation between the experience of street harassment and fear of victimization was hypothesized and a positive correlation between street harassment and negative reaction to (...) harassment was also hypothesized. Additionally, the most recurring type of public harassing behaviors was identified as well. Two self report questionnaires were administered; A gender based harassment scale assessing the frequency of 8 harassing behaviors which ranged on a likert scale from 0 to 4 and a modified version of The Fear of Crime survey measuring fear of victimization. These questionnaires were administered to a sample of 250 females recruited via convenient sampling technique that had experienced street harassment previously. Percentages, mode and Pearson’s Product correlation were used to statistically analyze data. Results showed a significant, weak positive correlation between street harassment and fear of victimization and a moderate positive correlation between experiencing street harassment and negative reaction towards harassment. The most frequent harassing behavior was being stared in a manner that made the victims uncomfortable with 98% of participants experiencing it, followed by 83.5% of the participants experiencing non-verbal sounds. Through this research, we were able to conclude street harassment does have negative implications for women. (shrink)

The purpose of this research is to examine the influence of servant leadership on teachers of moral education degree programs in Pakistan. By utilizing social learning, we propose that servant leadership and perceived coworker support can reduce the knowledge hiding by enhancing the sense of organization-based psychological ownership. The findings of time-lagged and multi-source data indicate that servant leadership has a negative relationship with knowledge hiding. Our results also indicate that psychological ownership mediates the effects of servant leadership on knowledge (...) hiding. Moreover, a higher level of perceived coworker support enhances the sense of psychological ownership which helps to reduce knowledge hiding. This research extends strong support for the proposition that servant leaders who adopt an employee-centered management approach, stressing personal integrity and care for employees significantly affect employee attitudes and behaviors. Moreover, this study suggests that managers should demonstrate care toward their subordinates which helps them to reduce negative behaviors. (shrink)

Hardy is the last of the Victorian and one of the most popular novelists of England. He, being an author of unique endowments, was not much esteemed in his life time. Hardy became the victim of stereotypical criticism and was badly ostracized by the ecclesiastical circles and the critics of his time as they merely focused on the depressing features of his fiction. This paper intends to reveal certain aspects of his work which remained neglected for a long time. The (...) present study is designed to focus on those characteristics of his work which win the title of a modern novelist for him. Hardy was quite conscious of the shifting environment around him at the vogue of industrialization that left profound marks on his meditative temperament. His depiction of the 19th century scenario is dominated with clash and collision between innovation and tradition. His art deals with twofold aspects of modernity exposing the sanguine and gloomy consequences of modernity. Owing to such an approach of the writer he is regarded as a social realist and one of the earliest of the modern novelists. Hardy poignantly observes the pathetic condition of the labourers, on one hand, and the modern mechanical advancements, one the other, which were of little benefit for the common man in society. The current study is designed to focus upon his approach to the modern developments in the broad context of social and political changes. Hardy is a modern novelist as he concentrates on the current issues such as gender, class, social and psychological disorders, etc. He is a supporter of class and female liberation. (shrink)

Excessive use of social media is a developing concern in the twenty-first century. This issue needs to be addressed before it has any more significant consequences than what we are currently experiencing. As a preventive technique, advertisements and awareness-raising campaigns about the detrimental impact of digital technologies are used. The application of novel mathematical techniques and terminologies in this field of study will have significant potential to enhance healthy living by preventing certain ailments. This is the most compelling justification for (...) conducting a new study with the most up-to-date techniques at our disposal. This study investigates clear and concise transmission in order to generate a deterministic mathematical model of social media addiction S M A using the fractal-fractional derivative operator. Also, the analysis of the S M A model in terms of the invariant domain, the existence of a positive invariant solution, and equilibria assumptions are stated in a detailed manner. Besides that, the basic reproduction number ℝ 0 < 1 is computed, demonstrating that the proposed methodology is more efficacious. The Atangana-Baleanu FF differential operators are recently defined in FF differential operators that are applied to characterize the S M A model’s mathematical algorithm. We investigated the numerical behaviour of the S M A in three ways: changing the fractional-order α as well as the fractal-dimension ℘ ; changing α while keeping ℘ constant; and changing ℘ while keeping α constant. Our examined visualizations and simulation studies using MATLAB for the numerical modelling of the aforementioned system showed that the novel developed Atangana-Baleanu FF differential operators produce remarkable results when compared to the classical frame. (shrink)

In this article, we investigated a deterministic model of pneumonia-meningitis coinfection. Employing the Atangana–Baleanu fractional derivative operator in the Caputo framework, we analyze a seven-component approach based on ordinary differential equations. Furthermore, the invariant domain, disease-free as well as endemic equilibria, and the validity of the model’s potential results are all investigated. According to controller design evaluation and modelling, the modulation technique devised is effective in diminishing the proportion of incidences in various compartments. A fundamental reproducing value is generated by (...) exploiting the next generation matrix to assess the properties of the equilibrium. The system’s reliability is further evaluated. Sensitivity analysis is used to classify the impact of each component on the spread or prevention of illness. Using simulation studies, the impacts of providing therapy have been determined. Additionally, modelling the appropriate configuration demonstrated that lowering the fractional order from 1 necessitates a rapid initiation of the specified control technique at the largest intensity achievable and retaining it for the bulk of the pandemic’s duration. (shrink)

The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. This paper is centered on the comparison of the crisp method with fuzzy multiple linear regression, and then, the utilization of a fuzzy multiple (...) regression method is explained after the comparison. We have used multiple regression and then converted the said technique into three fuzzy cases. The effectiveness of the fuzzy multiple regression model is measured by numerical computation and comparison of both techniques. 2020 Mathematics Subject Classification. Primary 30C45; 30C50; 30C80; Secondary 11B65, 47B38. (shrink)

Stock markets accurately reflect countries’ economic health, and stock returns are tightly related to economic indices. One popular area of financial research is the factors that influence stock returns. Several investigations have frequently cited macroeconomic factors, among numerous elements. Therefore, this study focuses on the empirical analysis of the relationship between macroeconomic factors and stock market returns. When a stock market becomes increasingly volatile, it becomes susceptible to economic uncertainty news, and information on social media platforms. Thus, we incorporated a (...) new dimension of economic uncertainty news sentiment for stock return predictions. We employed the daily data ofgold index, crude oil price, interest rate, exchange rate, and stock returns for a set of countries from January 2010 to December 2020. Subsequently, to compute coefficients, we conducted a regression analysis using one of the more sophisticated approaches: single-layer neural networks and ordinary least square regression. In addition, we only computed EUNS for the period of the fiscal budget announcement for the US, Turkey, and Hong Kong. The results indicate that the gold index, interest rate, and exchange rate are highly significant and negative macroeconomic factors for all analyzed countries. These findings also indicate that EUNS is important and detrimental for projecting stock returns. (shrink)

The COVID-19 outbreak has disturbed the victims' economic conditions and posed a significant threat to economies worldwide and their respective financial markets. The majority of the world stock markets have suffered losses in the trillions of dollars, and international financial institutions were forced to reduce their forecasted growth for 2020 and the years to come. The current research deals with the impact of the COVID-19 pandemic on the global stock markets. It has focused on the contingent effects of previous and (...) current pandemics on the financial markets. It has also elaborated on the pandemic impact on diverse pillars of the economy. Irrespective of all these destructive effects of the pandemic, still hopes are there for a sharp rise and speedy improvement in global stock markets' performance. (shrink)

The existing research aims to seek the herding effects on stock returns at the industry level in Pakistan Stock Exchange. Moreover, the relationship between stock returns and herding has been studied by taking some macroeconomic and fundamental control variables. Herding is actually imitating other’s behaviour. This phenomenon indicates a situation where the investors follow the crowed and ignores their personal information, despite knowing the correctness of their information. Herd behaviour may drive from fundamental factors leading to efficient markets. However, it (...) may not be associated with fundamental information causing unstable prices. The stock price data of PSX listed companies from 1999 to 2017 have been the point of focus. The underlying herding measure was the cross-sectional absolute deviation, proposed by Chang et al.. The significant analysis technique facilitating the current research is pooled mean group /panel autoregressive distributed lag approach. Findings revealed that some sectors are evident for positive effect of herding on stock returns, whereas some others are witnessed for its negative effects on stock returns, in both long run and short run. As far as the control variables are concerned, they demonstrated both significant and insignificant effects on stock returns in different sectors of PSX. The study has important implications for policymakers. (shrink)

This paper explores the theory of ‘Thoughtful Intelligence’. This theory proposes that the capacity to realize the impact of one’s statements and actions on the continued existence, dignity, and development of other people and nations is ‘Thoughtful Intelligence’. I show that the 4 unique thoughtful features (self point of reference, human point of reference, nature point of reference, and creator point of reference) result in a ‘Thoughtful’ leadership role. Applying this to climate change management enables one to characterize and visualize (...) the forthcoming flow of Thoughtful Intelligence. A Delphi-focused method helped identify 7 dynamics of thoughtful climate statesmanship, including carbon neutrality, offsetting carbon in neighboring countries, fighting climate change, integrity of social well-being, preserving environment and culture, caring use of limited resources, and gross national happiness. A Delphi-exploratory method was used to clarify thoughtful climate statesmanship. The consensual 95% results documented that the best thoughtful climate statesmanship belonged to Bhutan. The documentation of thoughtful climate statesmanship is strengthening the literature on statesmanship. Summit leaders, scientists, and people in business globally can benefit from this study. (shrink)

Plastic consumption is an important aspect of contemporary living, and studies that systematically examine consumers’ plastic waste recycling intentions from an ethical perspective are scarce. Considering the severity of plastic waste recycling problems globally based on the stimulus-organism-response paradigm, this study analyses how the information publicity influences consumers’ plastic waste recycling intentions from an ethical perspective in an emerging market economy. We investigate this link by focusing on the indirect effect of perceived social pressure and the moderating role of media (...) disposition (i.e., media richness and content trustworthiness). Data from a three-wave field survey of 469 household consumers from China showed that social pressure mediated the positive relationship between information publicity and ethical recycling intentions. Additionally, media richness and content trustworthiness moderate the link between information publicity and consumers’ perceptions of social pressure. These findings provide encouraging evidence for applying the SOR paradigm to explain the ethical recycling intention of consumers. The findings may assist policymakers in motivating consumers to think ethically about plastic waste recycling. (shrink)

This study focuses on determining the number of children considered ideal by Pakistani husbands and identifying the factors associated with this, with a special emphasis on family type. A cross-sectional survey was conducted among married males residing in four areas of Khairpur district. An equal number of study participants were selected systematically from each field site to achieve the required sample size of 500. Interviews were conducted by trained fieldworkers using a structured questionnaire to obtain information on background socioeconomic characteristics, (...) family structure and reproductive health knowledge and practices, in particular family planning. Multivariate logistic regression analyses were used to assess the hypothesis that family type has an independent association with husbands opinions regarding ideal number of children can help strengthen population control efforts in Pakistan. (shrink)

_The word Development is devious and captivating, however, the development path is perplexed. In most cases, the governments try to attain economic, military, technological, and infrastructural development, whereas, the power centers evade investing and working on issues of Human Development. The governments of countries like Pakistan strive to shuffle the attentiveness of the world by spending a huge amount on building the roads, on bridges, and transportation and in maximization of arms and ammunition. Human development in Pakistan has always been (...) neglected due to various reasons. A huge population of almost a 22million having as low as 154 th position in the human development index. The patriarchal system has created the social and cultural environment that is supporting persistence male domination, remains the major obstacle in the intellectual, social, and economic growth of women. This paper addresses the conceptual and methodological aspects of human development and women’s empowerment in Pakistan, it explains the challenges and trends concerning women’s empowerment throughout Pakistan’s history, specifically in key areas such as individual, education, and health, economic and political participation, and especially Women’s limited and controlled mobility._. (shrink)

Nuclearization of South Asia always remains the most imperative concern for the international community particularly when In May 1998, India and Pakistan tested their nuclear devices which plunged South Asia into a relentless nuclear arms race. Since then, the nuclearization of South Asia has been a reality but the region is as insecure as it was before. Historically, Pakistan’s nuclear program has been a subject of contention with the Western world. Pakistan has worked hard and successfully to build diverse nuclear (...) capabilities. It will preserve these capabilities for the predictable future as a necessary deterrent against perceived existential threats from India. The objective of this study is to provide historical background of the initiatives undertaken by Pakistan towards the development of its nuclear program and highlight the major challenges and hurdles that stood in the way of achieving this goal. Paper conclude that under the present turbulent regional and international environment, Pakistan should carefully weigh its options to become an internationally acceptable normal nuclear state without compromising its genuine security concerns. It is hoped that the finding of this qualitative work would not only facilitate scholars and experts of international relations, but also be a massive contribution for the students in this field. (shrink)

Present study compared disturbed eating attitudes among male and female university students. For which it as postulated that female university students would have more disturbed eating attitudes as compare to male students. For that reason 200 males and 200 female university students from various universities of Karachi were incorporated in the study. Their age ranged from 19 to 25. Participants after verbal and written covenantfrom the heads of their institution were asked to fill the respondents’ profile form to gather the (...) participant’s demographic information, followed by Eating Attitude Test which was used to know ones disturbed eating ways. For statistical evaluation t-test was applied, which specified that male university students experience more disturbed eating attitudes compare to female learners. This clears that distressed eating attempts are not limited to females, but is now affecting males as well. Thus to avert its budding prevalence, teaching institutions should supervise its amassed risks in their students and stimulate them to healthy lines of eating. (shrink)

Patients’ perception with regards to their use in medical teaching is an under-researched area in Pakistan. The objective of this qualitative, pilot study was to determine the perspectives of hospital admitted patients on their being used in the medical education of students in a private medical institution. An attempt to understand the dynamics of interactions between patients, students and doctors was also made and to see how this affected the doctor-patient relationship. A qualitative study with in-depth interviews was conducted in (...) a private medical college of Islamabad, Pakistan with a total of 20 adult patients. The focus was on their experiences with bedside teaching. This pilot study reveals interesting findings about patient-physician interactions in Pakistan. Patients had a traditionally passive role in medical education putting more onuses on the doctor to impart knowledge to the medical students. Patients comforted themselves in the knowledge that they were following Allah’s command when they were involved in the teaching of medical students. The apparent altruism of Pakistani patients in this study was influenced mainly by religious reasons, following the commandments of Allah to help develop future healers for humanity. The culture evident in the medical college where this study was conducted is reflective of the social power ladders that pervade Pakistani society. The positions of doctors and medical teachers in Pakistani society are hardly challenged to debate. Little attention has been paid to the values that influence the cultural and social frameworks within which Pakistani medical teachers, medical students and the patients function. (shrink)

Young adult literature has been studied to understand how authors represent characters who denotes their version of experiencing mental disability or social distress. Thus the following thematic analysis of young adult novels points a question, that whether portrayal of mental disability/social distress is empowering or not. Certainly, mental disabilities seem to be different in novels: in their attempts to represent mental disability/social distress as a real experience, they’re sometimes also attached to popular conceptions of protagonist’s love-affair. Hence, to focus on (...) novels representing mental disability/social distress; themes are hypothesized to explore the identity of the protagonist, society’s influence on protagonist and whether novel romanticize or represents realistic portrayal of disability/distress. Six novels have been selected-One memory of Flora Banks, Everything-Everything, All the Bright Places, 13 Reasons Why, When we Collided and Will Grayson, Will Grayson. These novels calls attention towards how society aggravates disability and shun those who don’t meet certain expectations to be mentally healthy. Literature is a powerful social force and conversation starter about disability/distress awareness to address and deal with challenges. Thus it’s important to recognize that it plays a key role in the empowerment and appreciation for disability which has been the center of this analysis. (shrink)

China, a lofty nation of 5000 years of uninterrupted civilization, world’s second largest economy, a nation of huge land mass and vibrant 1.3 billion populations with permanent seat in United Nation’s Security Council is steadfast on the road of peaceful development. Despite foreign aggressions, humiliations and occupations, Chinese nation never demonstrated revengeful attitude and instead adopted a submissive and non- confrontational approach to buy time for national cohesion, economic and infrastructure development and making the country stronger. The consistent and rapid (...) industrialization has enabled China to maintain over 9% growth rate which brought rich dividends for China and is now termed as economic super power and world’s manufacturing industry. This all can be attributed to consistent pragmatic foreign policy and unique blend of relevant to all and friend of all with mutual accommodation and peaceful coexistence. Pakistan and China are termed as Iron Brothers, therefore, Pakistan can accrue many dividends from rising status of China. This research article critically examines evolution of China’s foreign policy and draws relevance for Pakistan with suggested course of actions to make more dynamic and pragmatic foreign policy. The views and analysis expressed in this article are author’s own. (shrink)

Engaging communities in community-based health research is increasingly being adopted in low- and middle-income countries. The use of community advisory boards is one method of practicing community involvement in health research. To date, few studies provide in-depth accounts of the strategies that CAB members use to practice community engagement. We assessed the perspectives, experiences and practices of the first local CAB in Eswatini, which was implemented as part of the MaxART Early Access to ART for All study. Trained Swazi research (...) assistants conducted two focus group discussions and 13 semi-structured interviews with CAB members who had been part of the MaxART study for at least 2.5 years. Interviews explored CAB composition and recruitment, the activities of CAB members, the mechanisms used to engage with communities and the challenges they faced in their role. The MaxART CAB played an active role in the implementation of the Early Access to Art for All study, and activities mainly focused on: promoting ethical conduct, in particular privacy, consent and confidentiality; communication and education, communicating about the study and educating the community on the benefits of HIV testing and early access to HIV treatment; and liaising between the community and the research team. Strategies for interacting with communities were varied and included attending general community meetings, visiting health facilities and visiting public places such as cattle dipping tanks, buses, bars and churches. Differences in the approach to community engagement between CAB members living in the study areas and those residing outside were identified. The experiences of the first CAB in Eswatini demonstrate that community engagement using CABs is a valuable mechanism for engaging communities in implementation studies. Considerations that could impact CAB functioning include clearly defining the scope of the CAB, addressing issues of CAB independence, the CAB budget, providing emotional support for CAB members, and providing continuous training and capacity building. These issues should be addressed during the early stages of CAB formation in order to optimize functioning. (shrink)

Engaging communities in community-based health research is increasingly being adopted in low- and middle-income countries. The use of community advisory boards is one method of practicing community involvement in health research. To date, few studies provide in-depth accounts of the strategies that CAB members use to practice community engagement. We assessed the perspectives, experiences and practices of the first local CAB in Eswatini, which was implemented as part of the MaxART Early Access to ART for All study. Trained Swazi research (...) assistants conducted two focus group discussions and 13 semi-structured interviews with CAB members who had been part of the MaxART study for at least 2.5 years. Interviews explored CAB composition and recruitment, the activities of CAB members, the mechanisms used to engage with communities and the challenges they faced in their role. The MaxART CAB played an active role in the implementation of the Early Access to Art for All study, and activities mainly focused on: promoting ethical conduct, in particular privacy, consent and confidentiality; communication and education, communicating about the study and educating the community on the benefits of HIV testing and early access to HIV treatment; and liaising between the community and the research team. Strategies for interacting with communities were varied and included attending general community meetings, visiting health facilities and visiting public places such as cattle dipping tanks, buses, bars and churches. Differences in the approach to community engagement between CAB members living in the study areas and those residing outside were identified. The experiences of the first CAB in Eswatini demonstrate that community engagement using CABs is a valuable mechanism for engaging communities in implementation studies. Considerations that could impact CAB functioning include clearly defining the scope of the CAB, addressing issues of CAB independence, the CAB budget, providing emotional support for CAB members, and providing continuous training and capacity building. These issues should be addressed during the early stages of CAB formation in order to optimize functioning. (shrink)

In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the (...) Chebyshev wavelet method, and the modified wavelet-based algorithm. Moreover, based on the novelty and scientific importance, the present method can be extended to solve other nonlinear fractional-order delay differential equations. (shrink)

The 2019 Pandemic has forced students to take online classes, increasing their stress levels and negatively impacting their academic performance. This issue urges the development of a mechanism to make online learning more effective in this nerve-racking time. Therefore, the present study has integrated the task technology fit model and the DeLone and McLean Model of Information Systems Success to address the stated issue. The data were collected from 330 and 326 students of top-ranked public and private universities of Punjab, (...) respectively. The theoretical framework was analyzed with the help of structural equation modeling using Analysis of Moment Structures. The findings indicate that overall quality positively predicts performance through the mediating role of user satisfaction and TTF. The overall quality also positively elevates performance through the mediating role of user satisfaction and actual usage of the system. Moreover, perceived usefulness proved to be a moderator between overall quality and user satisfaction. Finally, the expected practical and theoretical implications have also been discussed. (shrink)

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

In several studies, knowledge is witnessed as one of the foundations of long-term competitive edge and is also a basic source of new product development performance. The aim of this study is to investigate the role of knowledge management capabilities in new product development performance with the mediating role of organizational agility. Additionally, this study also intends to examine the moderating role of business model innovation on the relationship of KMC with organizational agility. This study was conducted on the Chinese (...) automobile sector, and the NPD project managers, supervisors, and engineers of the sector were respondents of this study. A survey questionnaire was used to collect the data from 201 respondents, and data were analyzed using the Smart PLS 3 software. The findings of this research, although limited to the automobile industries, indicate that knowledge sharing and knowledge application have significant and positive effects on the development of new products. Organizational agility significantly mediates the relationship of KMC with NPD. The results found that business model innovation has a significant moderating role in the relationship between KMC and organizational agility. Moreover, the results of this study will assist the managers in developing a modern competitive business environment by implicating KMC in the process of NPD. Lastly, organizations may improve the sustainability of their product and their overall performance by using organizational agility and modern ways of value delivery. (shrink)

© 2015 Elsevier Inc.Toxoplasma gondii is a protozoan pathogen in the phylum Apicomplexa that resides within an intracellular parasitophorous vacuole that is selectively permeable to small molecules through unidentified mechanisms. We have identified GRA17 as a Toxoplasma-secreted protein that localizes to the parasitophorous vacuole membrane and mediates passive transport of small molecules across the PVM. GRA17 is related to the putative Plasmodium translocon protein EXP2 and conserved across PV-residing Apicomplexa. The PVs of GRA17-deficient parasites have aberrant morphology, reduced permeability to (...) small molecules, and structural instability. GRA17-deficient parasites proliferate slowly and are avirulent in mice. These GRA17-deficient phenotypes are rescued by complementation with Plasmodium EXP2. GRA17 functions synergistically with a related protein, GRA23. Exogenous expression of GRA17 or GRA23 alters the membrane conductance properties of Xenopus oocytes in a manner consistent with a large non-selective pore. Thus, GRA17 and GRA23 provide a molecular basis for PVM permeability and nutrient access. (shrink)

Social media particularly Facebook has become a popular platform amongst medical professionals for both social and professional interactions. However, given the nature of such platforms, their use raises ethical concerns including violation of patient privacy and blurring of classical professional and patient-physician relationship boundaries. In order to investigate the pattern of Facebook usage among medical professionals in Pakistan, a mixed method study was conducted at five medical institutions in three different cities including Karachi, Lahore and Islamabad. 806 participants, including 87 (...) faculty members, 239 trainees and 350 medical students, responded to the quantitative survey. Results were analysed using Statistical Package for Social Sciences. For the qualitative arm, focus group discussions and in-depth interviews were conducted among [End Page 272] different groups, and analysed to draw out common themes. Results show that 44% of respondents found professional utility for Facebook. 36% of respondents had never changed their privacy settings and 44% indicated lack of confidence in current privacy settings of the medium. Respondents had posted identifiable patient content and non-identifiable patient content, with students and trainees posting such content more frequently than faculty. (shrink)

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; (...) Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬‬. (shrink)

This twelfth volume of Collected Papers includes 86 papers comprising 976 pages on Neutrosophics Theory and Applications, published between 2013-2021 in the international journal and book series “Neutrosophic Sets and Systems” by the author alone or in collaboration with the following 112 co-authors (alphabetically ordered) from 21 countries: Abdel Nasser H. Zaied, Muhammad Akram, Bobin Albert, S. A. Alblowi, S. Anitha, Guennoun Asmae, Assia Bakali, Ayman M. Manie, Abdul Sami Awan, Azeddine Elhassouny, Erick González-Caballero, D. Dafik, Mithun Datta, Arindam Dey, (...) Mamouni Dhar, Christopher Dyer, Nur Ain Ebas, Mohamed Eisa, Ahmed K. Essa, Faruk Karaaslan, João Alcione Sganderla Figueiredo, Jorge Fernando Goyes García, N. Ramila Gandhi, Sudipta Gayen, Gustavo Alvarez Gómez, Sharon Dinarza Álvarez Gómez, Haitham A. El-Ghareeb, Hamiden Abd El-Wahed Khalifa, Masooma Raza Hashmi, Ibrahim M. Hezam, German Acurio Hidalgo, Le Hoang Son, R. Jahir Hussain, S. Satham Hussain, Ali Hussein Mahmood Al-Obaidi, Hays Hatem Imran, Nabeela Ishfaq, Saeid Jafari, R. Jansi, V. Jeyanthi, M. Jeyaraman, Sripati Jha, Jun Ye, W.B. Vasantha Kandasamy, Abdullah Kargın, J. Kavikumar, Kawther Fawzi Hamza Alhasan, Huda E. Khalid, Neha Andalleb Khalid, Mohsin Khalid, Madad Khan, D. Koley, Valeri Kroumov, Manoranjan Kumar Singh, Pavan Kumar, Prem Kumar Singh, Ranjan Kumar, Malayalan Lathamaheswari, A.N. Mangayarkkarasi, Carlos Rosero Martínez, Marvelio Alfaro Matos, Mai Mohamed, Nivetha Martin, Mohamed Abdel-Basset, Mohamed Talea, K. Mohana, Muhammad Irfan Ahamad, Rana Muhammad Zulqarnain, Muhammad Riaz, Muhammad Saeed, Muhammad Saqlain, Muhammad Shabir, Muhammad Zeeshan, Anjan Mukherjee, Mumtaz Ali, Deivanayagampillai Nagarajan, Iqra Nawaz, Munazza Naz, Roan Thi Ngan, Necati Olgun, Rodolfo González Ortega, P. Pandiammal, I. Pradeepa, R. Princy, Marcos David Oviedo Rodríguez, Jesús Estupiñán Ricardo, A. Rohini, Sabu Sebastian, Abhijit Saha, Mehmet Șahin, Said Broumi, Saima Anis, A.A. Salama, Ganeshsree Selvachandran, Seyed Ahmad Edalatpanah, Sajana Shaik, Soufiane Idbrahim, S. Sowndrarajan, Mohamed Talea, Ruipu Tan, Chalapathi Tekuri, Selçuk Topal, S. P. Tiwari, Vakkas Uluçay, Maikel Leyva Vázquez, Chinnadurai Veerappan, M. Venkatachalam, Luige Vlădăreanu, Ştefan Vlăduţescu, Young Bae Jun, Wadei F. Al-Omeri, Xiao Long Xin.‬‬‬‬‬‬. (shrink)

This seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The (...) Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam. (shrink)