Journal of Southwest Jiaotong University

Uncertainty Quantification for the Flow of Nanofluids in Converging/Diverging Channels

Shahzad — 2024-11-01

In mathematical models, parameters are one of the most important input factors that affect the model outputs. In this work, the effects of parameters in complementing their interaction effects on nanofluids' output variables in converging and diverging channels have been studied. The mathematical model is solved numerically by using Matlab's built-in solver bvp4c. Global sensitivity analysis (Sobol's method) quantifies the effects of input parameters and their interactions on model outputs. The results showed that the channel opening (α) is the most influential model parameter for the velocity profile. Simultaneously, Eckert number (Ec) becomes the most influential parameter for temperature distribution in diverging and converging channels. The least sensitive parameters and interaction effects of involved parameters are identified on velocity and temperature profiles in converging and diverging channels.

The Effect of Magnet Structure on the Cogging Torque Reduction in a Permanent Magnet Generator

Nur — 2024-11-02

The cogging torque would still be a constant part of permanent magnet-electric machines. This happens because of the construction in which permanent magnets are attached to the rotor, and a slot is present at the core of the stator. The contact between the two, related to the distance between the magnetic surface and the stator slot, makes it challenging to eliminate the cogging torque. This study aims to maximize cogging torque by reducing it with a new method. The proposed method is a mixture of two techniques that indicate significant promise. This invention mixes two techniques to improve the final results. The first process is called magnetic edge shaping, and the second technique is called a dummy slot on the stator. A fractional slot number (FSN) type with 24 slots and 18 poles is the permanent magnet machine used for this investigation. This work is assisted by software version 4.2 of the Finite Element Magnetic Method (FEMM), which will simulate the original and the proposed design. The proposed method proved to be effective in minimizing the peak value of the cogging torque, as shown by the simulation results of 98% of the initial design. Combining the two techniques may reduce the tangential value of the flux so that the flux leading to the slot is lower than the initial design.

Determinant Factors of Carbon Emission Disclosure in Jordan

Mustafa Shaikh — 2024-11-03

Currently, environmental issues are being discussed in various countries, including Indonesia. Erratic climate change greatly affects global warming worldwide, one of erratic climate change related to carbon emissions disclosures. However, there are still inconclusive findings regarding factors that determine the extent of carbon emissions disclosure. Based on comprehensive research, the objective of this paper is to examine a few selected factors and their relationship to the extent of carbon emissions disclosure. Green strategy, corporate social responsibility disclosure, good corporate governance, the board of directors, institutional ownership, and financial performance were analyzed to seek any significant relationships to the extent of carbon emissions disclosure. To this end, this study used a modified carbon emissions disclosure measurement from previous studies and a Corporate Social Responsibility Disclosure measurement using a combined corporate social responsibilitymatrix from three countries. Corporate annual reports from the consumer goods industry for the years 2015–2019 were examined to verify carbon emissions disclosure practices by applying content analysis and multiple regression analysis with a quantitative approach. The findings show that green strategy, Corporate Social Responsibility Disclosure, good corporate governance, and financial performance were found to have significant positive influences on the extent of carbon emissions disclosure. Meanwhile, the board of directors and institutional ownership had no significant influence on the extent of carbon emissions disclosure. This research can be used as a basis for developing an innovative strategy in environmental protection that can serve as a guideline for internal company regulations and public regulations to consider environmentally friendly products and services.

A Model for Acculturation Dialogue Between Religion, Local Wisdom, and Power: A Strategy to Minimize Violent Behavior in the Name of Religion in Indonesia

Nurhayati Erikh — 2024-11-04

This research aims to create a model for acculturation dialogue between representatives of religion, local wisdom, and power. The study uses a socially defined paradigm as an approach to cultural acculturation and adopts the theory of institutional development acculturation of Islam (almuhaafadhatu ala al-qadiimi al-shaalih wa al-akhdu bi al-jadiidi al-ashlah). This research found five models for acculturation dialogue between religion, local wisdom and power, namely, 1) taggayyur /deculturating /changing, 2) takammul /additive/ perfecting, 3) tahammul /considerate /tolerant, 4) tasallum /inclusive /receptive, and 5) tamsarrub /institutive /absorbing. The first acculturation model tends to reject the other cultures. The second model tends to be open and cross-sectoral in its approach. The third model is tolerant and accepting of all. The fourth model tends to be open and objective in recognizing truth and goodness from outside of itself, an acculturation model that has the potential to create peace and harmony. The fifth model seeks to absorb universal values so that together cultures are institutionalized into a new cultural unity.

How COVID-19 Quarantine Influenced Online Exam Cheating: A Case of Bangladesh University Students

Yousif Abdelrahim — 2024-11-07

This study aims to identify, through qualitative research, the influence of COVID-19 on student online exam cheating, specifically e-cheating, during the COVID-19 quarantine in Bangladesh university online classes in 2020. The researcher obtained the primary data from 23 undergraduate university students (13 males and ten females) who willingly responded to a semi-structured interview via Messenger Interview. Using grounded theory analysis, the author found that quarantine during the COVID-19 pandemic has caused and increased levels of anxiety and stress among students, which, in turn, has promoted e-cheating. The stress and anxiety allow students to justify their unethical behavior in online classes and cheating on online exams. The study results also show several factors that have contributed to online exam cheating. These factors include social pressure, peer pressure, academic pressure, not using software programs that monitor e-cheating, finding it easy to cheat, willingness to get grade point averages, and worries about jobs. Besides, this study also develops a conceptual framework for the COVID-19 e-cheating model that explains how COVID-19, stress, and anxiety predict the frequency of dishonest behaviors among students, specifically cheating during online exams, and can be used for further qualitative research studies. Finally, the study results can be used as guidelines for faculty members when considering assignments, homework, exams, and how to monitor online exams.

ADOPTING HR ANALYTICS FOR EMPLOYEE RETENTION: INSIGHTS AND STRATEGIES

Abhijeet Dawle — 2025-01-23

The workplace dynamics are changing quickly so for this reason employee retention has
become the top goal for organizational success. Due to changes in job market where it is
becoming costly to recruit new talent, many organizations are now seeking help of HR
analytics to gain understanding into patterns of behaviour among employees. This study,
looks into recent research to understand how the data derived from various analytics
processes in relation to human capital can come up with factors that may lead to turnover and
also to look for ways that organisations can improve on retention management decisions.
Primarily, with the help of predictive models, HR analytics helps employers better identify
potential turnover risks, increase engagement, and implement efficient strategies for
employee retention. HR analytics being used to help organizations identify patterns, as well
as trends, about the employees so that suitable interventions, which can meet the individual
needs of a specific employee, can be implemented to help in developing suitable work
environment. Nevertheless, the large-scale application of HR analytics is limited by these
issues as data privacy, lack of skilled analysts, and integration issue with existing HR
systems. HR analytics help to eliminate barriers to better retention rates, organizational
stability, and workforce productivity. The results imply that when organisations are able to
integrate and employ HR analytics at its best, more organisations are capable to sustain the
changing business environment, anticipate unpleasant things happening before they occur and
most importantly, they reduce turnover rates. Accepting and implementing HR analytics is
therefore crucial for organizations that wish to improve on their employee retention goals and
achieve long term productivity

Impulse Consumption of After-80s Parents in China on Children's Extracurricular Education Services: An Empirical Analysis and Insights

YANHUA GAO — 2025-02-01

This study delves into the impulse consumption behavior of after-80s parents in China regarding children's extracurricular education services. Through an extensive survey and comprehensive data collection, a battery of factors influencing this behavior are quantitatively analyzed. The research findings not only disclose the current state and characteristics of such impulse consumption but also proffer valuable recommendations for pertinent education service providers and policymakers. By fathoming the decision-making mechanisms and psychological factors of after-80s parents, more targeted marketing stratagems and regulatory measures can be contrived to foster the healthy and sustainable progression of the children's extracurricular education market.

The Influence of The Use of New Media in Music Education on Students' Music Aesthetic Ability

YIN JINGJING — 2025-02-01

Musical aesthetic ability is one of the important components in college music education. It comprises of music literacy, music appreciation and music performance. The cultivation of students' music aesthetic ability is very much affected by the teaching methods. The purpose of this study is to examine the effect of the use of new media in teaching music on students' music literacy, music appreciation and music performance. This survey involved 130 college students from Henan Finance University in Zhengzhou, Henan Province. Regression analysis was used to measure the impact of use of new media on the 3 dimensions of aesthetic ability. The study found that the use of new media has a significant impact on students' music aesthetic ability. The use of new media by teachers has the greatest impact on students' music performance. Secondly, it has also had a certain impact on students' music appreciation. The impact on music literacy is minimal among the three dimensions. Therefore, in music education in the future, teachers will comprehensively use teaching tools to more effectively and targetedly strengthen the cultivation of students' music aesthetic ability.

Corporate social responsibility and employee well-being in hotel industry: A mediation of job satisfaction

TU SHUIXIANG — 2025-02-01

This study aims to investigate the impact of Corporate Social Responsibility（CSR）on the well-being of employees in the hotel industry. To shed light on the ways in which CSR improves employee well-being, an integrated model examining the mediating effect of job satisfaction was created. This study collected data through a structured questionnaire, and responses were collected randomly from 285 hotel managers and front-line workers of three-star hotels and above in Nanning, China. Data were analyzed using Structural Equation Modeling (SEM) method. Our research outcomes suggest that undertaking Corporate Social Responsibility（CSR）initiatives not only directly improves Employee Well-being (EWB), including Life Well-being (LWB), Workplace Well-being (WWB) and Psychological Well-being (PWB), but it also enhances employees' positive emotional states through increasing Job Satisfaction (JB). Corporate social responsibility has a significant impact on employee well-being (β=0.235, p<0.05) and job satisfaction (β=0.557, p<0.05), and job satisfaction plays an intermediary role between corporate social responsibility and employee well-being. The indirect effect value of CSR--JS--EWB was 0.251, which did not include 0 in the Lower and Upper value ranges of 95% CI, and p<0.05 indicated mediating significance. This study includes employee well-being into the reaction factors of corporate social responsibility, introduces the action mechanism of job satisfaction, broadens the research perspective of corporate social responsibility, enriches and improves the research on the action mechanism and empirical research between corporate social responsibility and employee well-being. The study has vital theoretical implications and provides valuable guidelines for hotel managers to reduce the adverse effects of CSR on employee well-being.

Analysis of the Effect of Social Services and Financial Support on Community Satisfaction: A Case Study of Gerindra Party Services

OKTASARI SABIL — 2025-02-01

The role of political parties extends beyond electoral competition; they also play a critical role in addressing the socio-economic needs of their communities. This study investigates the impact of two key factors—social services and financial support—on societal satisfaction with the services provided by the Gerindra Party in Indonesia. Using quantitative analysis, this research examines how these variables contribute to the overall satisfaction of citizens and the implications for political engagement and party loyalty. A survey was conducted on 300 community members who have benefitted from Gerindra’s social programs, and path analysis was used to identify relationships between the variables. The findings reveal that both social services and financial support have a significant positive impact on societal satisfaction. The study concludes with policy recommendations for enhancing community-oriented programs to improve political engagement and satisfaction.

Optimizing Speech Emotion Recognition Using Convolutional Neural Network Technique

Silviana Widya Lestari, Rabab Alayham Abbas ,Trismayanti Dwi P, Aisha Rahmayanti — 2025-02-01

This study investigates the successful recognition and interpretation of emotional states through the use of technology, specifically speech-based emotional analysis. Since people with mental health disorders frequently have trouble regulating their emotions, accurate emotion recognition is essential to delivering individualized care. Counsellors and mental health specialists can provide individualized interventions and gain a deeper understanding of people's emotional states by utilizing technology. Convolutional Neural Networks (CNNs) for Speech Emotion Recognition (SER) are the main topic of this study, which focuses on deep learning methods. Notwithstanding notable progress, issues like lowering computational complexity and attaining high accuracy still exist in this field. The paper assesses SER utilizing well-known datasets, such as RAVDESS, CREMA, SAVEE, and TESS, in order to overcome these issues. Root Mean Square Error (RMSE) is the most successful feature extraction technique, according to the methodology, which looks at the performance of five distinct feature extraction strategies. The CNN-based model attains remarkable accuracy scores of 93.11% and 96.07% using RMSE. Conv1D layers are used in the model to apply the best feature extraction technique, allowing for real-time emotion recognition. In order to improve SER accuracy, this study emphasizes the significance of making thoughtful decisions about feature extraction techniques and dataset selection. The study significantly advances SER technology by using CNN models and carefully optimizing feature extraction. In order to progress the area and fully solve its enduring issues, it also highlights the necessity of enhanced modelling techniques and further investigation of various datasets.

Visual Product Identification Apps Based on Improved Deep Learning Algorithm for Visually Impaired

2025-02-01

This audit investigates the various challenges confronted by outwardly disabled people in instruction and commerce situations, shedding light on the systemic obstructions that ruin their consideration and victory. Within the domain of instruction, a need of available learning materials, such as braille reading material, sound assets, and screen perusers, essentially limits their capacity to lock in with educational module viably. Additionally, instructive apparatuses and advances are frequently planned without considering availability, clearing out outwardly disabled understudies at a drawback. Deficiently preparing for instructors and teachers on how to suit the wants of outwardly impeded understudies assist compounds the issue, coming about in restricted bolster and understanding inside the classroom. In proficient settings, the integration of outwardly impeded people is prevented by restricted mindfulness of availability prerequisites among bosses and lacking selection of assistive innovations. Numerous work environments fall flat to actualize the vital instruments, such as screen magnifiers, voice acknowledgment program, or material shows, clearing out outwardly disabled workers incapable to perform errands proficiently. Also, a need of comprehensive approaches and work environment lodging contributes to their marginalization. Imaginative progressions in profound learning calculations and assistive applications have appeared guarantee intending to these challenges, advertising devices for moved forward route, communication. These innovations require assist advancement, comprehensive arranging, and far-reaching mindfulness to maximize their affect. All inclusive, activities cantering on the progression of assistive innovations are crucial for upgrading the quality of life and growing openings for outwardly disabled people, cultivating a more comprehensive society.

The Impact of Muslim Services on the Economic Returns of Scenic Spots Based on SWOT Analysis

ZHAO YI, ZOU TONGQIAN, AHMAD ALBATTAT — 2025-02-01

As the tourism business around the world continues to expand at a rapid pace, the Muslim tourism market has progressively become an important force in the industry. The provision of Muslim services that are adapted to meet the particular requirements of Muslim visitors is an essential component in the process of enriching the economic returns of attractive locations. The framework of the SWOT analysis is utilized in this study in order to conduct an in-depth examination of the possibilities, threats, strengths, and weaknesses that are linked with Muslim services in picturesque areas. By doing so, the purpose of this article is to provide solutions for enhancing the quality of service provided to Muslims and, as a result, supporting sustained increase in economic returns from picturesque spots.