Powerful Software Research Articles

The effect of educational intervention based on the mobile application on women’s knowledge, attitude, and practice on microplastics and health: study protocol for a randomized controlled trial

BackgroundThe pervasive issue of microplastic (MP) contamination is undeniable. The primary solution to this global problem lies in significantly reducing the amount of plastic entering the environment. Addressing such a large-scale issue is no easy feat. However, a necessary strategy involves public education. In parallel, a randomized controlled trial (RCT) aims to evaluate the effect of interventional education via a mobile phone application on improving women’s knowledge, attitude, and practice regarding the health effects of MPs.MethodsThis randomized controlled trial includes three phases. In the first phase, a questionnaire assessing women’s knowledge, attitudes, and practices (KAP) regarding microplastics will be developed and validated. In phase two, educational content for the mobile application “PlastiWise” will be created based on behavior change constructs. In phase three, a two-arm, parallel-design RCT will be conducted with 136 women aged 18 years and older who own smartphones, have basic literacy skills, and provide informed consent. Participants will be recruited through an online call disseminated via social media platforms and health system networks in Iran. They will be randomly assigned to an intervention group (n = 68) receiving the educational program through the app or a control group (n = 68). The sample size was calculated using G*Power software to ensure sufficient power (80%) with an alpha level of 0.05, factoring in a 15% dropout rate. Primary outcome data (KAP scores) will be collected at baseline, immediately post-intervention, and 8 weeks post-intervention using self-reported questionnaires. Data analysis will include descriptive statistics and inferential tests, such as independent t-tests and paired t-tests, to assess group differences and within-group changes over time.DiscussionImplementing an educational intervention on knowledge, attitude, and practice (KAP) about MPs using a mobile application will be a first in Iran. This research is expected to benefit Iranian women by contributing evidence on factors that might influence the effectiveness of educational training related to MP consumption.Trial status Protocol version 1, 2024–07-12. The enrolment of participants began on 2024–09-22. The recruitment is estimated to be completed by 2024–11-21.Trial registration Iranian Clinical Trial Register IRCT20240529061941N1.https://irct.behdasht.gov.ir/user/trial/77069/view. Date is July 12, 2024.

Comparison of personality abilities and self-suppression in women applying for divorce and non-applicant women

Introduction: Considering the effects and negative consequences of divorce at the individual and social levels, especially for women, the need for preventive measures to reduce these damages is evident. Aim: The current research aimed to compare personality abilities and self-suppression in women applying for divorce and non-applicant women. Methods: The current research is applied in terms of purpose and causal-comparative type of descriptive in terms of research method type and the statistical population was all the women who referred to counseling centers in Qom in 2022, from which 30 women who applied for divorce and 30 women who did not apply for divorce were selected using the available sampling method using G*Power software. The research tools were Values in Action Inventory of Strengths by Peterson and Seligman (2003), and Silencing the Self Scale by Jack (1991). To analyze the data, multivariate analysis of variance was used for the main hypothesis and univariate analysis of variance using SPSS26 software was used. Results: The results showed that there is a difference between personality abilities and self-suppression in women applying for divorce and non-applicant women (P<0.01) and women applying for divorce obtained a higher score in self-suppression and a lower score in personality abilities Conclusion: The results showed that there is a difference between personality abilities and self-suppression in women applying for divorce and non-applicating women. In order to increase personal abilities, it is suggested to focus on individual abilities such as hope, optimism, creativity and vitality in couple training and couples therapy sessions.

Novel Pressure-less Adhesive Dispensing Strategy for Thin Die Applications

The automotive electronics market is facing increasingly demanding reliability requirements, along with restrictive European and international environmental legislations targeting the elimination of lead-based materials in electronics packages. As a result, pressure-less Ag-sinter adhesives have been identified as one of the most mature lead-free bonding materials, with thermal and electrical performances comparable or superior to lead-tin alloys, as well as reliability performances compliant with automotive mission profiles. Simultaneously, there is a clear trend towards using thinner dice (<200 µm) in the semiconductor packaging industry for automotive applications, driven primarily by the demand for devices with higher electrical performance. This poses a challenge for the use of pressure-less adhesives, as they have a natural tendency to climb up the vertical sides of the die, potentially causing adhesive to flow over the die surface and resulting in short circuits or yield loss during subsequent IC assembly process steps. Currently, one of the most established processes for controlling the rise of adhesive on the vertical sides of thin dice is 2D screen printing (also known as stencil printing). This process involves selectively printing a complete pattern of adhesive material onto a substrate, onto which the die can then be placed without the need to forcibly spread the pressure-less adhesive to achieve full die backside coverage. However, this process is associated with significant material wastage and is only applicable to flat substrates. The aim of this paper is to introduce an innovative dispensing strategy for thin dice, which dispenses the adhesive in a spiral pattern shape. This technique can be applied to both flat (2D) and non-flat (3D or downset) substrates and minimizes material waste by utilizing a standard time-pressure dispensing system. The paper provides an overview of the concept and the underlying dispensing strategy developed by Besi, as well as an example of its application for die thicknesses down to 110um and 3D substrates in some power packages manufactured by STMicroelectronics. Process capability is validated, and package reliability is demonstrated up to MSL3 + 1000 thermal cycles through scanning acoustic microscopy.

Developing an Integration of Sports and Health Teaching Programs to Improve the Physical and Mental Health of Primary School Students

Background and Aims: At present, China's school physical education focuses on the teaching of sports knowledge and skills, ignoring the individual student's interest in sports activities and health education needs, in recent years, the national education department has required that schools should integrate health education into physical education teaching, but the effect is not obvious, resulting in part of the students' aversion to physical education learning and aversion to emotion, the relevant surveys show that teenagers' rates of myopia, obesity and other indicators are rising year by year The study shows that the myopia rate, obesity rate and other indicators of adolescents are increasing year by year, which seriously affects the physical and mental health of adolescents. From the interdisciplinary perspective of kinesiology and health education, this study aims to develop and implement a teaching program that integrates physical education and health education to improve the physical and mental health of fifth-grade elementary school students. The specific objectives were to improve students' physical skills and health knowledge and to promote their overall physical and mental health development through integrally designed program content. Methodology: This paper adopts the methods of literature, questionnaire survey, expert interview, and comparative experimental method, and analyzes the G*power software to determine the sample size, conducts questionnaires, physical fitness, psychological, and other pre-tests on the samples, and screens out 60 students aged between 10 and 11 years old in two fifth-grade classes of Jinzhou Elementary School to be the subjects of the experimental experiment: class 1 is the experimental group of 30 people, including 14 boys, girls 16 students; class 2 is the control group of 30 students, of which 13 are boys and 17 are girls. A before-and-after comparison experimental design was used to assess the effect of the new teaching program through tests such as the integrated physical education and health teaching program, students' physical fitness testing instruments, psychometric scales, mean, standard deviation, t-test statistics, and so on. Results: The experimental results showed that the teaching program integrating physical education and health education had a significant positive effect on improving the physical fitness and mental health of primary school students. This is manifested in the significant improvement of students' BMI, lung capacity, motor skills, and mental health indicators. Conclusion: The physical education and health integration teaching program proposed in this study not only effectively improves the physical and mental health of primary school students, but also provides new ideas and methods for the reform and development of elementary school education. The empirical results of this study provide a basis for future related research and have certain application value and academic contribution.

Prediction of quality of life among the elderly based on level of depression and spirituality

Introduction: Quality of life (QoL) in the elderly is shaped by physical, psychological, and spiritual factors. Depression commonly affects older adults and is linked to poorer QoL, while spirituality can offer resilience. However, the combined impact of depression and spirituality on elderly QoL is seldom explored.Purpose: This study aims to investigate the relationship between depression, spirituality, and QoL among elderly individuals in nursing homes, examining how these factors influence their physical, social, and mental well-being.Methods: This study used a cross-sectional study design conducted on nursing home residents. The study population was elderly living in nursing homes, with a sample size of 73 people selected by convenience sampling and calculated using G*power software. Quality of life (QoL) was measured using the SF-36 questionnaire, spirituality was measured using the Spiritual Well-Being Scale (SWBS), and depression was measured using the Beck Depression Inventory-II (BDI-II). Data analysis was performed using multiple logistic regression to analyze the relationship between the study variables.Results: Mean scores for physical and mental components of QoL were 50.06 (±6.80) and 50.22 (±8.73), respectively. Spirituality was positively associated with QoL, especially in social (AOR 1.15) and mental health (AOR 1.06) dimensions (p < 0.05). Depression was negatively related to vitality (AOR 1.11) and mental health (AOR 1.09), showing that greater spirituality aligns with higher QoL, while depression correlates with poorer QoL.Conclusion: Spiritual well-being and depression significantly impact elderly QoL, particularly in social, vitality, and mental health aspects.

NUMERICAL INVESTIGATION ON FLEXURAL PERFORMANCE OF BUILT-UP STEEL BEAMS WITH DIFFERENT WEB OPENINGS

Recently, the usage of Structural Steel Beams with Opening in the Web has spread extensively in all over the world, in various types of buildings such as high-rise buildings and industrial buildings. There are several advantages in using openings in beams. There for, an analytical investigation was carried out on fourSteel Beams with Opening (SBWO) models by using a powerful nonlinear simulation software ABAQUS. The initiative was to study the overall flexural behaviour of (SBWO’s) and to establish the maximum load carrying capacity, and deflection. Only vertical loads have been considered in the (SBWO’s) performance investigation. The Built-Up sections were tested up to failure. The simulated models were considered to be under simply supported condition at their edges and a uniform distributed load were applied over the upper flange of the beam along all beam's length. The flexural behaviour of beams with different opening shapes were tested and compared. The test results proved to be very useful in selecting the opening shape.

On The Pros and Cons of Using Excel for Regression Analysis

Excel is a useful and powerful software for simple regression analysis without any programming skills and that is why, it is widely preferred by the undergraduate students from various areas such as chemistry, biology and agriculture as well as many engineering disciplines such as chemical engineering, food engineering and bioengineering. Parameter values and coefficient of determination (R2) can be easily obtained together with the graphical representation for those models exist in Excel such as linear and exponential models. It is also possible to visually examine the model fit and experimental data together on the same graph. For linear models (linear in parameters) Excel Add-In Data Analysis-Regression tool creates a summary output, and parameter estimates, parameter uncertainties, adjusted R2 (R2adj) and root mean square error (RMSE) values can be found even for the models that do not exist in Excel. For nonlinear models (nonlinear in parameters) Excel Add-In Solver tool can be used to obtain parameter estimates (but not uncertainties), and R2, R2adj and RMSE can be calculated manually. Despite these advantages, there are some shortcomings of Excel for regression analysis. For linear models with no-intercept Excel reports the incorrect and overoptimistic R2 and also reports incorrect and overpessimistic R2adj. Excel has also some nonlinear models such as exponential and power models in it; however, Excel computes linear parameter estimates for those nonlinear models and again optimistic R2 is calculated. This paper aims (i) to show these inaccuracies with their reasons by using published data, (ii) how to obtain the correct results, (iii) to warn the instructors who would use Excel for regression analysis in class. Excel users (instructors, students, professionals in any field) should be aware of the pitfalls when using Excel for regression.

Factors Associated with Volunteering among Saudi Arabian Healthcare College Students

Background Volunteering is a helpful service to society, embodying personal commitment and a spontaneous result of community life. In this study, factors associated with the intention to volunteer among healthcare students in Saudi Arabia were investigated using the theory of planned behavior. Methods This was a cross-sectional, survey-based observational study. The data collection tool comprised eight sections (demographic information, volunteering experience, behavioral intention, attitude, subjective norm, perceived behavioral control, motivation to volunteer, and satisfaction from volunteering) in accordance with the theory of planned behavior. The sample size was calculated using G*Power software. A descriptive analysis and univariate and multivariate linear regression analyses were performed to determine the significant differences among the variables. Results A total of 402 healthcare students completed the survey after obtaining permission from the ethics committee. The average age was 23 (±2.2) years, and a majority of the participants were female (60.5%). Most participants were pharmacy students (39.4%), and the average grade point average of all participants was 4.22 (±0.5). About half of them (49.8%) had previous volunteering experience. A significant association was found between the intention of healthcare students to volunteer and attitude (β = 0.350; p < 0.001), subjective norm (β = 0.116; p = 0.001), perceived behavioral control (β = 0.257; p < 0.001), age (β = −0.203; p = 0.023), male gender (β = −1.068; p = 0.005), and volunteering experience (β = 1.156; p = 0.023). Conclusion Attitude, subjective norm, perceived behavioral control, previous volunteering experience, age, and male gender were associated with willingness to volunteer. These findings suggest that healthcare education institutions can develop strategies to engage and motivate student volunteers in community outreach programs. Our study results cannot be generalized, as it was conducted only in the Qassim region of Saudi Arabia.

Efficient distribution network based on photovoltaic fed electric vehicle charging station using WSO-RBFNN approach

An integral and prevalent aspect of modern life is the electric vehicle (EV).EV charging networks struggle with power losses and high energy costs, particularly as demand rises leading to inefficiencies and potential system overloads. A hybrid WSO-RBFNN approach is proposed for the distribution network's photovoltaic (PV) fed electric vehicle charging stations. The performance of the proposed hybrid strategy is a combination of war strategy optimization (WSO) and Radial basis function neural network (RBFNN). It is hence referred to as the WSO-RBFNN technique. WSO optimizes the distribution network by minimizing power loss, improving voltage sensitivity, and reducing costs. Meanwhile, the RBFNN predicts the load demand. This innovative technique WSO-RBFNN identifies the nearest charging spots that minimize power loss and RBFNN optimizes power flow predicts charging demands and addresses both environmental and electrical grid stability concerns. The proposed technique is implemented in MATLAB. MATLAB is powerful computational software widely used in different fields like numerical computation, visualization, and algorithm development. MATLAB provides powerful tools for data visualization and plotting. The results are compared to various existing Heap-based optimizer (HBO), Wild horse optimizer (WHO), and Salp Swarm Algorithm (SSA) techniques. The proposed approach contributes only 0.59 % of a power loss it is less and the cost of energy is 0.18$ which is lesser and the voltage deviation is 6.6 pu which is less than the existing techniques.

Integrating natural product research laboratory with artificial intelligence: Advancements and breakthroughs in traditional medicine.

The Natural Product Research Laboratory (NPRL) of China Medical University Hospital (CMUH) was established in collaboration with CMUH and Professor Kuo-Hsiung Lee from the University of North Carolina at Chapel Hill. The laboratory collection features over 6000 natural products worldwide, including pure compounds and semi-synthetic derivatives. This is the most comprehensive and fully operational natural product database in Taiwan. This review article explores the history and development of the NPRL of CMUH. We then provide an overview of the recent applications and impact of artificial intelligence (AI) in new drug discovery. Finally, we examine advanced powerful AI-tools and related software to explain how these resources can be utilized in research on large-scale drug data libraries. This article presents a drug research and development (R&D) platform that combines AI with the NPRL. We believe that this approach will reduce resource wastage and enhance the research capabilities of Taiwan's academic and industrial sectors in biotechnology and pharmaceuticals.

Enhancing Middle School Mathematics Teaching Effectiveness through the Utilization of GeoGebra Software

With the widespread application of modern information technology in the field of education and the deepening of the new curriculum reform, middle school mathematics teaching is facing new opportunities and challenges. As a powerful dynamic mathematics software, GeoGebra plays an increasingly important role in middle school mathematics teaching due to its intuitiveness, interactivity, and dynamism. This paper first introduces the characteristics of GeoGebra software and then elaborates on its application in middle school mathematics teaching from the perspectives of teachers and students, aiming to provide new ideas and methods for mathematics teaching.

Effect of Use Hormonal Progestin Birth Control on Length of Use, Incidence of Menstrual Cycle Disorders in Birth Control Acceptors in Muara Enim District in 2024

This study aims to determine the effect of progestin hormonal contraceptive use on the duration of use and the incidence of menstrual cycle disorders among contraceptive acceptors in Muara Enim District in 2024. The method used is a correlational design with a cross-sectional approach. The population in this study consisted of all hormonal contraceptive acceptors in Muara Enim District, with a sample size of 853 people, determined using G Power software. Data analysis was conducted using the Spearman’s rho test. The statistical test results showed a p-value of 0.000 (<0.05), indicating a significant relationship between hormonal contraceptive use and menstrual cycle disorders. A correlation coefficient of 0.28 indicates a fairly strong and positive relationship. Furthermore, there is a relationship between the duration of hormonal contraceptive use and menstrual cycle disorders, with a p-value of 0.000 (<0.05) and a correlation coefficient of 0.39, suggesting a moderate and positive relationship in the same direction. These findings are expected to provide valuable information for healthcare providers to offer more accurate recommendations regarding potential menstrual cycle disorders in progestin hormonal contraceptive users, enabling patients to better understand the possible risks associated with this contraceptive method.

Pharmacological Targeting of Sodium and Calcium Channels as a Therapeutic Approach for Chronic Pain Relief

Background: It is determined that chronic pain is a common, worsening health issue that reduces patient’s quality of life and is a huge strain on health systems. Sodium and calcium channels are key for the process of transferring pain signals. Pharmacological targeting of these ion channels has been identified as a potential and efficient long-term therapy of chronic pain in the absence of non-specific side effects of traditional analgesics.Objectives: In a clinical trial, to determine the effectiveness of the drugs, selective sodium and calcium channel blockers in the management of chronic pain symptoms by comparing patients’ pain scores and the number of effectively treated patients over time.Study design: A Double-blind, randomized, controlled trialPlace and duration of the Study: Department of Biochemistry, Saidu Medical College, Saidu Sharif Swat KP – Pakistan from March 2022 to March 2023.Methodology: The effect of sodium and calcium channel blockers was examined in a double-blind, randomized comparison study of 150 patients in a chronic pain clinic. Subjects rated their pain using an anchored pain intensity scale at baseline, two weeks, and four weeks. In analyzing the results, the use of mean, standard deviation and P-value were used whereby the P value used to test hypotheses in an experiment is the probability of obtaining the observed results. Hypothesis derived parameters included; the primary end point being pain score reduction, and the secondary end points including functional changes and side effects respectively.Results: In 150 patients these three groups recognized 23 percent achieving reasonable pain heading for sodium and calcium channel blockers who achieved extra pain cut off the placebo mean pain heading of 7.3 ±1.5 SD reducing to mean pain heading of 3.8 ±1.2 SD in the same patients. Actual placebo group demonstrate a slight improvement (mean change from 7.4 to 6.8). Analysis of the data by the G * Power software showed that the effect size was highly statistically significant, with a p-value = < 0.001. Hundred percent increase in the functional scores for the treatment group, but the adverse effects were reported to be less and were comparable with that of the placebo group. These results suggest that selective sodium and calcium channel blockade can attenuate neuropathic pain.Conclusion: This class of drugs has a substantial potential and does not trigger such severe side effects as constant use of traditional analgesics does for relieving chronic pain. The present work provides evidence that ion channel modulation can be used for chronic pain management, which should be further investigated and considered for implementation into therapeutic pain paradigms.Conclusion: Results indicate that G6PD deficiency is a leading cause of neonatal jaundice, particularly in populations at higher risk due to genetic factors. Early diagnosis and treatment significantly improve outcomes, though complications such as kernicterus remain a risk in severe cases.

Comprehensive analysis of energy, exergy, and economic aspects in a multi-generation system: Power, methanol, and heat generation through plastic waste gasification

The growing apprehensions regarding climate change and the rising levels of carbon dioxide emissions due to fossil fuel usage, in conjunction with the upsurge in plastic waste attributable to population expansion, have catalyzed a heightened consideration of alternative energy carriers as substitutes for fossil fuels. Methanol (MeOH) is emerging as a promising contender for mitigating the challenges encountered by hydrogen in the realms of storage and transportation. This study investigates the application of waste polyethylene gasification with steam for the production of syngas and methanol, utilizing the thermal integration of biogas-fueled chemical looping combustion (CLC). A noteworthy feature of this proposed system is its capability to generate methanol, power and heating without the emission of carbon dioxide into the environment. The powerful software Aspen Plus is utilized for an extensive process simulation. The simulation results reveal that the optimal molar ratio of the oxygen carrier to the biogas in the CLC is 2.6 (At air reactor temperature of 1000 °C). The operational performance evaluation reveals that the suggested system achieves energy efficiency of 69.5% and exergy efficiency of 64.2% The most significant energy destructors are related to the components of the air reactor, combustion chamber, and fuel reactor, respectively. Additionally, the production rate of methanol is 466.2 kg/h, and the minimum selling price of methanol is calculated to be 0.7 USD/kg.

BASIC APPROACHES TO THE FORMATION OF THE TRANSPORT MODEL OF THE CITY

The pace of development in modern cities and the continuous increase in motorization lead to the aggravation of various issues, such as the creation of rational traffic management, the allocation of parking spaces, the quality assurance of road surfaces, and the protection of the environment. Solving these problems requires «correct» systematic management, effective organization of traffic flows, and optimal planning of transportation infrastructure. To manage the transport system and make optimal decisions in transport planning, specific systematic knowledge about the current transport situation and possible scenarios of its development are needed. Тhe lack of a quantitative description of the transport situation significantly complicates an already challenging selection among options for the development of the urban transport system. Bridging the gap between the desired and actual outcomes can be achieved through modern planning tools and impact assessments of decisions, particularly through a unified city transport model. As experience shows, a city transport model used to support decision-making in strategic transport planning is the optimal tool for quantitative assessment of proposed options for transport network development, their subsequent comparison, and well-founded conclusions regarding the feasibility of investments in transport infrastructure projects. Transport models based on modern information technology represent powerful computational software systems that, based on the functional and spatial characteristics of the city combined with all available data on transport demand and supply, calculate the most probable distribution of traffic and passenger flows across the street network. These calculations then form the basis for forecasting city development and provide the necessary analytical foundation for decision-making in the development of urban transport infrastructure. «Correct» strategic management of the city's transport system, among other things, directly affects the quality of transport services for the population and road safety. The main advantage of transport models is that they allow experimentation not with people, but only with a computer representation of their daily behavior. Keywords: transportation model, transport demand, transport supply, transport zone, demand layer.

Measuring the global scientific literature on big data analytics in the LIS: the blending approach of altmetrics and bibliometrics

Purpose This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS). Design/methodology/approach This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences. Findings This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing. Practical implications Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers. Originality/value This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.

Space environment simulation and analyses for the DAMPE mission

Abstract DAMPE was sent into space orbit for nearly nine years. Since its expected lifespan is only three years, DAMPE has surpassed its expected lifespan by almost six years. Due to its long stay in orbit, some of its components have met with such puzzles as the capabilities of the equipment are partially degrading. The effects of the space environment are responsible for some of its degradation. So, the knowledge of the space environment in the coming year is vital for DAMPE operation. We focus on the following factors: 1) electrons and protons trapped in Earth’s radiation belts; 2) solar proton effect; 3) cosmic ray effect; 4) atom oxygen distribution. Based on the powerful analytic software SPENVIS, some typical effects of space environments are simulated and analyzed respectively, providing supportive constraints when the task team of DAMPE decides when to lengthen the lifespan, or when to start the reentry to Earth’s atmosphere.

Building an Accessible and Flexible Multi-User Robotic Simulation Framework with Unity-MATLAB Bridge

Multi-user collaborative robotic simulation has great potential for applications in industry and education. Unity is a powerful software for simulation and online multi-user experience, which can be enhanced with third-party mathematical analysis and multiplayer servers. Unity can become a much more capable and user-friendly robotic simulation package through integration with other software. These include MATLAB for computations and the Photon Unity Engine (PUN) for online multi-user capabilities. This study developed a flexible robotic simulation framework that can be adapted to different scenarios for industrial and educational applications. Several simulation scenarios were developed to identify the most efficient data communication methods between MATLAB and Unity. TCP/IP, Shared Memory, Firebase, and MQTT, were selected to assess their performance and interaction with data in Unity and MATLAB. Next, an independent PUN application was created. Both components were integrated into the simulator for evaluation and performance optimization. The performance of this simulation framework was assessed through two case studies. The results demonstrated that the integrated framework is viable, efficient, and flexible for robotic simulation and digital twins. Future research will expand the framework by adding diverse functionalities to provide users with a better interface, enhancing its performance, and integrating additional software packages.

Harnessing the power of artificial intelligence (AI): a paradigm shift in HRM practices for employee sustainable performance

Purpose This study aims to investigate the interplay between artificial intelligence (AI) integration, organizational digital culture, human resource management (HRM) practices and employee sustainable performance in luxury hotels in Malaysia. It seeks to elucidate how AI adoption influences organizational dynamics, shapes HRM practices and impacts employee sustainable performance over time. Design/methodology/approach Using a quantitative approach, survey questionnaires derived from prior research were utilized. Analysis using G*Power software determined an appropriate sample size, with psychometric evaluation validating scale development. Statistical analyses using Statistical Package for Social Sciences (SPSS) 28.0 and SmartPLS 4 confirmed data reliability and validity. Findings Out of the five hypotheses, three were supported. A positive relationship was found between AI adoption and employee sustainable performance, highlighting AI’s potential to enhance productivity and job satisfaction. However, the relationship between AI adoption and organizational digital culture was not supported. On the other hand, HRM practices positively influenced employee sustainable performance. In addition, organizational digital culture was positively associated with employee sustainable performance, underscoring the role of digital fluency in driving workforce productivity. Conversely, AI failed to moderate the relationship between HRM practices and employee sustainable performance. Research limitations/implications The study’s focus on luxury hotels in Malaysia and its reliance on cross-sectional data, suggesting the need for longitudinal designs and diverse organizational contexts in future research. Comparative studies across sectors and countries could offer insights into variations in AI adoption practices and their impact on organizational performance. Originality/value This study contributes to theoretical frameworks by empirically examining complex relationships between AI integration, HRM practices, organizational digital culture and employee performance, emphasizing the importance of considering organizational context and cultural factors in understanding the implications of AI adoption for sustainable performance enhancement.

RETROSPECTIVE ANALYSIS IN HYPOTHESIS TESTING TO EVALUATE INDONESIA'S GINI RATIO AFTER COVID-19 PANDEMIC

The study highlighted three essential roles of retrospective analysis in hypothesis testing, particularly as a priori analysis, post hoc analysis, and sensitivity analysis. These approaches were applied to the Gini ratio data sourced from the National Socioeconomic Survey Indonesia 2023 to examine the income inequality level in Indonesia. The sample size, statistical power, and effect size for the one-sample t-test are evaluated by aid G*Power software. The test results show that for a sample size of 10, at the 95% confidence interval, there is not enough evidence to show that the Gini ratio in 2023 is smaller than 0.4. A retrospective analysis using G*power software reveals that for a sample size of 20 at the same confidence interval, there is enough evidence to suggest that the Gini ratio is statistically significant at less than 0.4 with a power of analysis of 90.8% and an effect size of 0.76. This study has important implications in hypothesis testing, especially in retrospective analysis, since understanding the effect of sample size and effect size makes it possible for academics or practitioners to optimize hypothesis testing and generate more accurate and reliable test results.