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

This study is aimed to identify the relative effect of online review ratings and perceived crowding on purchase intentions of a consumer. Our study also investigated the contingent effect of gender and perceived crowding between the relationship of exogenous and endogenous variables. This study was conducted in the Malaysian restaurant industry. We applied the purposive sampling technique to identify respondents, the mall intercept survey method was used for data collection. Smart PLS software was applied for data analysis. This study demonstrates (...) through its results that online review ratings and perceived crowding have a positive effect on purchase intentions of a consumer. Moreover, if a consumer perceives crowding at a restaurant, this has a positive contingent effect on the relationship between review ratings and purchase intentions. This demonstrates that the consumer is more inclined to choose a restaurant with a high online review rating and has high perceived crowding at some unfamiliar place. Lastly, no evidence is found for the gender difference between review rating and purchase intentions; however, gender shows contingent effect and results confirmed that males preferred more crowded restaurants as compared to females. There are theoretical and practical implications for managers in the findings of this study. (shrink)

This paper aims to examine the direct and indirect impact of ambient air pollution on employees’ performance. This study has used cross sectional survey design to collect the data from the outdoor employees of the pharmaceutical industry of Pakistan. The data were collected in time lags from 299. Partial least squares- structural equation modeling approach was applied to analyze the data. The results show that AAP has a significant negative impact on the employees’ performance, and anxiety partially mediates the association (...) between AAP and employees’ performance. This study reveals that AAP brings anxiety among outdoor employees, which in turn decreases their working performance. The implications, limitations, and future research directions are presented in the last section of this study. (shrink)

Little is known about the background of atheism in Malaysia and how Muslims respond to the phenomenon, although provocations by Malaysian atheists often take place on social media. This study addressed the gap by exploring the atheism phenomenon in Malaysia’s ethnoreligious-oriented society. Data were collected from in-depth interviews and content analysis using the qualitative method. All data were analysed thematically using the software for qualitative analysis, ATLAS.ti. The resulting superordinate themes that emerged from the analysis include the phenomenon of Malaysian (...) atheism, the factors for becoming atheists and the theme of arguments. The study’s findings are three-fold. Firstly, atheism started in Malaysia after globalisation began. Secondly, most Malaysian atheists were influenced by internal factors based on emotional–psychological elements rather than being scientifically oriented. Last but not least, the main themes of Malaysian atheist arguments are ‘God’s justice’, ‘the problem of evil’ and ‘science rationalism’. As a response, Muslims counter the atheism phenomenon by providing an effective approach to preserving social cohesion and harmony in an ethnoreligious society.Contribution: This article suggests that although atheism is regarded as a challenge to society since Malaysia is an ethnoreligious-oriented society, atheism needs to be countered through proper education as early prevention, besides encouraging healthy discussions. (shrink)

Every emerging technology has its pros and cons; health-conscious users pay more importance to healthy and environment-friendly technologies. Based on the UTAUT2 model, we proposed a comprehensive novel model to study the factors influencing consumers’ decision-making to adopt the technology. Compared to prior studies that focused on linear models to investigate consumers’ technology adoption intentions and use behavior. This study used a Structural Equation Modeling-fuzzy set qualitative comparative analysis approach to account for the complexity of customers’ decision-making processes in adopting (...) new technology. We collected valid responses from 830 consumers, analyzed them, and evaluated them using a deep learning SEM-fsQCA technique to capture symmetric and asymmetric relations between variables. We have extensively incorporated a health-consciousness attitude as a predictor and mediator to understand better the decision-making toward technology adoption, specifically 5G technology. All the factors tested in our model are statistically significant except the economic factors. Health-consciousness attitude and behavioral intention found significant predictors and valid mediators in the process of 5G technology adoption. FsQCA provided six configurations to achieve high 5G adoption. The findings have significant practical ramifications for telecom corporations, advertisers, government officials, and key policymakers. Additionally, the study added substantial theoretical literature to technology adoption, particularly the adoption of 5G technology. (shrink)

The release of over 6,000 genetically modified mosquitoes (GMM) into uninhabited Malaysian forests in 2010 was a frantic step on the part of the Malaysian government to combat the spread of dengue fever. The field trial was designed to control and reduce the dengue vector by producing offspring that die in the early developmental stage, thus decreasing the local Aedes aegypti population below the dengue transmission threshold. However, the GMM trials were discontinued in Malaysia despite being technologically feasible. The lack (...) of systematic studies in terms of cost-benefit analysis, questionable research efficacy and safety-related concerns might have contributed to the termination of the field trial. Hence, this research aims to evaluate the feasibility of GMM release in Malaysia by using a holistic approach based on an Islamic ethical-legal assessment under the maslahah-mafsadah (benefit-risk) concept. Three main strategies based on the maslahah-mafsadah concept approach have been applied: 1) an evidence-based approach, 2) an impact-based approach and, 3) a priority approach. The analysis concluded that GMM could be categorised as zanniyyah (probable). GMM is a promising alternative for dengue control, but many issues must be addressed before its widespread adoption. (shrink)

The possibility of accomplishing sustainable objectives is largely connected to the management and flourishing of an organizational system which keeps human capital engaged and committed. Our study investigated the association of inspirational leadership and innovative communication with employee engagement and commitment under the lens of leader member exchange theory. Specifically, we emphasized the mediating role of mutual trust in connection to social sustainability facets. A survey of data from employees in the manufacturing sector of Yunnan, China was utilized to test (...) the hypothesized model. The study findings reported a significant association and came to the conclusion that a leader’s inspirational behavior coupled with innovative communication is a significant predictor of engagement and commitment in socially sustainable organizations. Moreover, mutual trust significantly mediated the relationship of innovative communication and inspirational leadership with employee engagement and commitment reaching the social perspective of sustainability. The current study added to the literature of sustainable organization by pointing out the social dimensions of sustainability. (shrink)

Journal Name: Semiotica Issue: Ahead of print.

AimThe current study attempted to assess the effect of positive emotion on post-graduate students’ psychological capital as well as on their academic engagement behavior. Also, the direct relationship between PsyCap and academic engagement behavior was assessed alongside the presence of Stress as a moderating variable between PsyCap and academic engagement behavior amongst post-graduate students in Malaysia.Materials and MethodsA self-administered questionnaire was used for data collection from 373 post-graduate Ph.D. students registered in various universities throughout Malaysia with a non-probabilistic sampling technique. (...) Research respondents belonged to management, humanities, engineering, computer science, and health sciences domains, and they responded through a questionnaire copy. Statistically, structural equation modeling was applied to evaluate confirmatory factor analysis, reliability analysis, validity analysis, measurement model, structural model, and path analysis. Furthermore, the bootstrapping approach was utilized to test the final model.ResultsFor the hypothesized model, our results confirmed that positive emotions had a positive and significant effect on students’ psychological capita as well as on their academic engagement behavior. Further, PsyCap also had a positive and significant effect on academic engagement behavior. Our results also reported that stress as a moderating variable has a negative and deteriorating effect on the relationship between PsyCap and the academic engagement of students.ConclusionThe study’s findings support the theoretical assumption that positive emotions help individuals generate cognitive resources, which in turn help them manage their engagement behavioral requirements. However, the stress caused by their study needs may deplete their psychological resources, consequently influencing their academic engagement behavior. Interventions like personal coaching/counseling, appropriate follow-up, and flexible goal settings with other measures may help post-graduate students in achieving their daunting tasks. (shrink)

Half a million species of plants could be existing in the world. Classification of plants based on leaf features is a critical job as feature extraction from binary images of leaves may result in duplicate identification. However, leaves are an effective means of differentiating plant species because of their unique characteristics like area, diameter, perimeter, circularity, aspect ratio, solidity, eccentricity, and narrow factor. This paper presents the extraction of plant leaf gas alongside other features from the camera images or a (...) dataset of images by applying a convolutional neural network. The extraction of leaf gas enables identification of the actual level of chlorophyll and nitrogen which may help to interpret future predictions. Our contribution includes the study of texture and geometric features, analyzing ratio of Ch and N in both healthy and dead leaves, and the study of color-based methods via CNN. Several steps are included to obtain the results: image preprocessing, testing, training, enhancement, segmentation, feature extraction, and aggregation of results. A vital contrast of the results can be seen by considering the kind of image, whether a healthy or dead leaf. (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)

Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...) five main emotions. We use our experimental assessments on the emotion dataset to accomplish the emotion categorization job. The datasets were evaluated and the findings revealed that, when compared to state-of-the-art methodologies, the proposed model can successfully categorize user emotions into several classifications. Finally, we assess the efficacy of our strategy using statistical analysis. This research’s findings help firms to apply best practices in the selection, management, and optimization of policies, services, and product information. (shrink)

Brain-computer interface multi-modal fusion has the potential to generate multiple commands in a highly reliable manner by alleviating the drawbacks associated with single modality. In the present work, a hybrid EEG-fNIRS BCI system—achieved through a fusion of concurrently recorded electroencephalography and functional near-infrared spectroscopy signals—is used to overcome the limitations of uni-modality and to achieve higher tasks classification. Although the hybrid approach enhances the performance of the system, the improvements are still modest due to the lack of availability of computational (...) approaches to fuse the two modalities. To overcome this, a novel approach is proposed using Multi-resolution singular value decomposition to achieve system- and feature-based fusion. The two approaches based up different features set are compared using the KNN and Tree classifiers. The results obtained through multiple datasets show that the proposed approach can effectively fuse both modalities with improvement in the classification accuracy. (shrink)

Over the past couple of decades, research on the perks of corporate social responsibility has reported that it is a source of competitive advantage and can increase the bottom-line performance of the organization. However, a somewhat small proportion of this research is focused on the ‘greenwash’ side, which posits that not all CSR would lead to positive impacts. By extending this line of research, the current study is aimed at investigating the differential impacts of CSR by developing a scale for (...) the three-dimensional model of CSR attributions coined by Ahmad in 2017, that is, Embedded, P-Social, and P-Instrumental CSR, and testing the same with counterproductive sustainability behaviors. The attribution theory was used to explain the relationship between the study variables. Data (N = 311) were collected from the tourism and hospitality sectors. It was found that Embedded and P-Social CSR practices would be attributed to more genuine CSR and would lead to a reduction in counterproductive sustainability behaviors. Furthermore, the P-Instrumental CSR would be attributed to more selfish and instrumental practices and hence would be considered as greenwashing, which will consequently lead to enhancing counterproductive sustainability behaviors. The study further tested the mediating role of employees' organizational trust, which was also supported by the results. Several theoretical and practical implications are discussed. (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)

This article attempts to evaluate emotive meanings across languages and cultures expressed and elicited semiotically from viewers. It investigates the challenges of subtitling emotive feelings in the American filmHomeless to Harvard(2003) into Arabic. It adopts Paul Thibault’s (2000. The multimodal transcription of a television advertisement: Theory and practice. In Anthony Baldry (ed.),Multimodality and multimediality in the distance learning age, 311–385. Campobasso: Palladino Editore) method of multimodal transcription and Feng and O’Halloran’s (2013. The multimodal representation of emotion in film: Integrating cognitive (...) and semiotic approaches.Semiotica197(1/4). 79–100) framework of the multimodal representation of emotion to formulate strategies for subtitling emotion from English into Arabic. Additionally, Feng and O’Halloran’s (2013) framework is adapted to show how stylistic choices (e.g., cinematography, music, soundtracks, etc.) and semiotic expressions can elicit emotion from viewers. The social semiotic model is employed to investigate how emotive representation is realized through verbal and non-verbal items. The findings showed that the filmmakers had properly used stylistic choices and various semiotic techniques to elicit emotion from the viewer derived from the emotion of the film’s heroine. (shrink)

The hybridization of two or more energy sources into a single power station is one of the widely discussed solutions to address the demand and supply havoc generated by renewable production, heating power, and cooling power) and its energy storage issues. Hybrid energy sources work based on the complementary existence of renewable sources. The combined cooling, heating, and power is one of the significant systems and shows a profit from its low environmental impact, high energy efficiency, low economic investment, and (...) sustainability in the industry. This paper presents an economic model of a microgrid system containing the CCHP system and energy storage considering the energy coupling and conversion characteristics, the effective characteristics of each microsource, and energy storage unit is proposed. The random forest regression model was optimized by the gravitational search algorithm. The test results show that the GSA-RFR model improves prediction accuracy and reduces the generalization error. The detail of the MG network and the energy storage architecture connected to the other renewable energy sources is discussed. The mathematical formulation of energy coupling and energy flow of the MG network including wind turbines, photovoltaic, CCHP system, fuel cell, and energy storage devices are presented. The testing system has been analysed under load peak cutting and valley filling of energy utilization index, energy utilization rate, the heat pump, the natural gas consumption of the microgas turbine, and the energy storage unit. The energy efficiency costs were observed as 88.2% and 86.9% with heat pump and energy storage operation comparing with GSA-RFR-based operation costs as 93.2% and 93% in summer and winter season, respectively. The simulation results extended the rationality and economy of the proposed model. (shrink)

This study employs the Porter hypothesis framework to test the moderating role of production cost in the relationship between resource-efficiency actions and financial performance for German small and medium-sized enterprises (SMEs). For this purpose, we employ the 2012, 2018, and 2021 Flash Eurobarometer surveys to analyze how consistently SMEs adopt resource-efficiency actions, and the impact of these actions on their performance and costs. We also conduct a generalized method of moments regression analysis (GMM). Among the seven resource-efficiency actions proposed, saving (...) water had a significant positive (negative) influence on financial performance in 2012, 2021, and (2018). Saving energy and using renewable energy had a positive and significant (insignificant) effect on financial performance in 2018, 2021, and (2012). Finally, selling scrap material to other companies had a positive and significant impact in all years. Furthermore, increased production costs negatively moderate the relationship between eco-efficiency action scores and financial performance. The results indicate that the “strong” version of the Porter hypothesis is not supported: It only holds when the implementation of eco-efficiency actions reduces production costs and increases financial performance. (shrink)

This research aims to examine the Indonesian Ulema Council’s (MUI) fatwa strategy on COVID-19 vaccination booster, which employed religious narrations and laboratory test evidence to justify its arguments. Religious texts become ideological frames that are legitimate and effective in influencing the human senses. This study uses maqashid al-Qur’an as approach. Hence, the use of text of the Qur’an, hadith, and quotations from various ulema’s opinions elucidates the vaccination aim under Islamic law. Based on the MUI fatwa, the primary purpose of (...) the vaccinations is for the sake of national benefits, whereas, from the perspective of maqashid al-Qur’an, it mainly leads to the preservation of the Indonesian people’s life as a whole. The COVID-19 vaccination carried out in Indonesia is for curative purposes; consequently, this programme is classified into the daruriyah [urgent] category. The results revealed that religious authority plays a crucial role in persuading its adherents.Contribution: This research shows that interpreting the Qur’anic verses using the maqashid theory should also be integrated with a scientific approach for the benefit of humanity. (shrink)

1. Academics as a profession is traditionally viewed as stress-free due to high levels of academic freedom, clarity of job description and performance indicators, and tenure protected positions (Th...

A co-creation values consumers’ input as its primary crust in informing businesses on current consumer needs. More importantly, it would be the next shape in future demands of consumers in business sustainability. This paper addressed this context, narrowing its scope in investigating the voices of stakeholders on what would be the essential aspects of the present and future youth qualities in achieving sustainable well-being in the present trend. The findings would be essentially helpful for the youth and the business world (...) to understand the aspects of good youth development, which would shape the next fabric of consumerism. Self-potential development of the youth is vital in achieving excellent life quality and the youth’s well-being in Malaysia. However, the increase in challenges faced by today’s youth is inconsistent with a decline of the group’s well-being. There are various studies and interventions implemented to overcome the youth situation. However, there is still in need for a model that can guide the holistic development of youth self-potential. The purpose of this study is to build a sustainable and comprehensive model of the self-potential development of the youth, which can be integrated with all of the self-potential indicators of the youth via a co-creation process. This study used the Fuzzy Delphi Method on the proposed elements in the development model and systematically analyzed them using Interpretive Structural Modeling to create the development model. The method capitalized 10 stakeholders from various youth development backgrounds in developing the model. The model consists of 25 sub-indicators that are divided into five indicators. The model findings show that one of the most driving indicators is an entrepreneurial mindset among youth, followed by the other indicators of youth self-potential development. The model also shows that the civic-mindedness indicator is the output of youth self-potential that will surface at an end of the development. The model will guide the authorized body on the priority elements that can systematically and strategically improve youth self-potential to meet future challenges with youth aspirations. (shrink)

Lifestyle refers to a set of personal and group behaviours related to normative and semantic aspects of social life. Any coherent set of behavioural patterns derived from religious teachings that exist in life can be considered a religious lifestyle. Considering that the dominant religion in Jordan is Islam, the present study focused on the Islamic lifestyle. In addition, given that the correct relationship between couples has been compared to life-giving blood in marriage, and since the quality of marital role plays (...) a determining role, the existence of communication skills in any of the couples can generate satisfaction and compatibility, whereas lack of awareness of these skills could cause misunderstandings and tension. Therefore, the current study aims to study the role of the Islamic lifestyle in communication skills of 250 Muslim couples of Jordan (Amman, Zarqa and Irbid) in 2022. Data were collected using questionnaires during four months, and the validity and reliability was confirmed. In addition, data analysis was performed in Statistical Package for Social Sciences (SPSS) and Linear Structural Relations (LISREL) using mean tests and structural equation modelling. According to the results, Islamic lifestyle had a positive, significant effect on the improvement of communication skills in Muslim couples in Jordan (P-value: 0.76; T-value: 7.92). Therefore, it is recommended that more attention should be paid to this issue by families, researchers and cultural authorities in the country.Contribution: Our findings revealed that Islamic lifestyle improved communication skills in Muslim couples, which demands special attention. By adhering to the Islamic lifestyle, couples can influence each other’s knowledge, emotions, education and growth, and try to have a realistic understanding of each other’s desires, needs, living environment and perceptions that each has in life issues. Furthermore, they can organise their role in the common life in appropriate ways to prevent problems and solve them in the event of problems. (shrink)

Let G = V G, E G be a molecular graph, where V G and E G are the sets of vertices and edges. A topological index of a molecular graph is a numerical quantity which helps to predict the chemical/physical properties of the molecules. The Wiener, Wiener polarity, and the terminal Wiener indices are the distance-based topological indices. In this paper, we described a linear time algorithm that computes the Wiener index for acyclic graphs and extended this algorithm for (...) unicyclic graphs. The same algorithms are modified to compute the terminal Wiener index and the Wiener polarity index. All these algorithms compute the indices in time O n. (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)

In this paper, we investigate the numerical solution of the coupled fractional massive Thirring equation with the aid of He’s fractional complex transform. This study plays a significant aspect in the field of quantum physics, weakly nonlinear thrilling waves, and nonlinear optics. The main advantage of FCT is that it converts the fractional differential equation into its traditional parts and is also capable to handle the fractional order, whereas the homotopy perturbation method is employed to tackle the nonlinear terms in (...) the coupled fractional massive Thirring equation. An example is illustrated to present the efficiency and validity of the two-scale theory. The solutions are obtained in the form of series with simple and easy computations which confirm that the present approach is good in agreement and is easy to implement for such type of complex systems in science and engineering. (shrink)

As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) and expert systems can assist to deal with this pandemic. AI has the potential to provide extremely accurate insights for an organization to make better decisions based on collected data. Despite the numerous advantages that may be achieved by AI, the use of AI can (...) be perceived differently by society, where moral and ethical issues may be raised, especially in regards to accessing and exploiting public data gathered from social media platforms. To better comprehend the concerns and ethical challenges, utilitarianism and deontology were used as business ethics frameworks to explore the aforementioned challenges of AI in society. The framework assists in determining whether the AI’s deployment is ethically acceptable or not. The paper lays forth policy recommendations for public and private organizations to embrace AI-based decision-making processes to avoid data privacy violations and maintain public trust. (shrink)

Data center technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. Those old-fashioned DCs cannot fulfill the high resource demand compared with today’s DCs. The architectural design of the DCs is getting substantial importance and acting as the backbone of the network because of its essential feature of supporting and maintaining the rapidly increasing Internet-based applications which include search engines and social networking applications. Every application has its parameters, like (...) latency and blocking in the DC network. Every data center network has its specialized architecture. It has a specific arrangement of layers and switches, which increase or decrease the DC network’s efficiency. We develop a simulation tool that comprises two different DC architectures: basic tree architecture and c-Through architecture. Using this simulation, we analyze the traffic behavior and the performance of the simulated DCN. Our main purpose is to focus on mean waiting time, load, and blocking with respect to the traffic within the DCN. (shrink)

Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the early design stages plays a significant role in improving safety. The article describes a newly developed model to predict rockburst intensity grade using Adaptive Boosting classifier. A database including 165 rockburst case histories was collected from across the world to achieve a comprehensive representation, in which four key influencing factors such as maximum tangential stress of the excavation (...) boundary, uniaxial compressive strength of rock, tensile rock strength, and elastic energy index were selected as the input variables, and the rockburst intensity grade was selected as the output. The output of the AdaBoost model is evaluated using statistical parameters including accuracy and Cohen's kappa index. The applications for the aforementioned approach for predicting the rockburst intensity grade are compared and discussed. Finally, two real-world applications are used to verify the proposed AdaBoost model. It is found that the prediction results are consistent with the actual conditions of the subsequent construction. (shrink)

Human resources management is essential to ensure the success of any organization which is based on the belief that an organization gains competitive advantage by using its people effectively and efficiently. But HR professionals need organizational support to make the employees more committed and passionate about their work. In this study, the researchers aim to examine the moderating effect of organizational support in the relationship between human resource professionals’ competencies, HR professionals’ willingness, and HR professionals’ effectiveness. HR Professionals’ competencies such (...) as credible activist, talent manager, culture and change steward, strategy architect, business ally, and operational executor nurture HR professionals’ effectiveness. Besides, HR professionals’ willingness is a significant predictor of HR professionals’ effectiveness. To test the relationships, the researcher collected data through survey questionnaire from 183 managers from commercial banks of Pakistan. For statistical analysis, Partial least squares-structural equation modeling is used to analyze the data and test the hypotheses. The findings reveal the positive and significant impact of HR professionals’ competencies and HR professionals’ willingness on HR professionals’ effectiveness. Additionally, the moderating impact of organizational support was also significant among HR professionals’ competencies, HR professionals’ willingness, and HR professionals’ effectiveness relationship. The study contributes in the literature of HR professionals’ effectiveness and organizational support in the banking sector of local context. The study also discusses the implications and future directions. One of them is that the research framework provides guidelines for HR professionals about what competencies are needed to enhance HR professional effectiveness. The present study recommends HR professionals of the banking sector to be involved in strategic planning and implementation in their organization. (shrink)

The premise of this study is to look at the intergenerational transferal of language and racial trauma of Asian immigrants in general and Korean–American immigrants in particular to a western country, the United States of America. This study investigates trauma from a psychological standpoint, based on Chang-Rae Lee’s novel Native Speaker. In describing a marker of citizenship, the novel’s title also points to who is the native language speaker and who is a native of a country, and why one who (...) is not may be excluded. The Korean immigrants’ vulnerability to the English language and racial differences highlights their status as minority “others,” and they suffer from transgenerational trauma. As a result of transgenerational traumatic effects, Henry has various traumatic side effects such as dysphasia, aphasia, and parasomnia and finally leaves no stone unturned to recuperate from trauma. The Trauma of the Unspeakable theory by Michelle Balaev is used in this article to show how trauma affects people’s minds. (shrink)

A topological index can be focused on uprising of a chemical structure into a real number. The degree-based topological indices have an active place among all topological indices. These topological descriptors intentionally associate certain physicochemical assets of the corresponding chemical compounds. Graph theory plays a very useful role in such type of research directions. The hex-derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. In this paper, we (...) determined the exact values of vertex-edge-degree-based topological descriptors for hex-derived networks HDN 1 p and HDN 2 p, which are generated by the hexagonal network of dimension p. (shrink)

Abortion is the most common and controversial issue in many parts of the world. Approximately 46 million abortions are performed worldwide every year. The world ratio is 26 induced abortions per 100 known pregnancies. Pakistan has an estimated abortion rate of 29 abortions per 1,000 women of reproductive age, despite the procedure being illegal except to save a woman’s life. 890,000 abortions are performed annually in Pakistan. Many government and non-government organizations are working on the issue of abortion. Muslim jurists (...) are unanimous in declaring that after the fetus is completely formed and has been given a soul, abortion is haram (forbidden). (shrink)

An attempt has been made to find some valuable information for particle detection with the help of Solid State Nuclear Track Detectors. The detector is characterized by a critical value of the energy-loss rate by the charged particle. Only those charged particles which give up energy exceeding the critical value alone can produce teachable tracks. The detection thresholds of nuclear track detectors can be specified in terms of their energy loss rates. The findings have been found within a good agreement (...) with the other works. (shrink)

This study presents a modified simplest equation method to investigate some real and exact solutions of conformable time fractional Benjamin-Bona-Mahony equation and Chan-Hilliard equation. We use traveling wave transformation to obtain the results in the form of series solution. Some calculations are performed through Mathematica software to analyze the accuracy of this approach. Graphical representations are reported for more significant results at different fractional-order which demonstrates that this approach is very simple, adequate, and legitimate.