bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Workplace Favouritisme, Workplace Violence terhadap Turnover intention Dimediasi oleh Social Support Guru di Sekolah
Authors: Fitri Dwi Widyati Amalia 
Published: July 2023

Sebuah sekolah bisa menjadi sekolah terbaik ketika memiliki guru yang kompeten di bidangnya, namun seorang guru dapat menurunkan prestasi sekolah jika tidak merasa dihargai oleh sekolah sehingga guru yang kompeten membuat niat turnover. Guru membuat niat pergantian yang disebabkan oleh banyak hal, yaitu favouritism di tempat kerja, kekerasan di tempat kerja dan dukungan sosial di lingkungan sekolah. Penelitian ini bertujuan untuk mengetahui pengaruh favouritism di tempat kerja, kekerasan di tempat kerja dan dukungan sosial terhadap niat turnover. Subjek penelitian ini adalah 45 guru dari unit SD dan SMP di sekolah XYZ wilayah Balaraja. Desain penelitian yang digunakan adalah analisis jalur dengan pendekatan kuantitatif. Hasil penelitian menemukan bahwa favouritisme di tempat kerja berpengaruh positif terhadap niat turnover, kekerasan di tempat kerja berpengaruh positif terhadap niat turnover, dukungan sosial berpengaruh positif terhadap niat turnover, favouritism di tempat kerja melalui dukungan sosial berpengaruh positif terhadap niat turnover dan kekerasan di tempat kerja melalui dukungan sosial berpengaruh positif terhadap niat turnover.
Does Customer Satisfaction and Service Quality have an impact on HDFC Bank Customers’ Loyalty?
Authors: Jyoti  , Kaur Dr. Rupinder Bir 
Published: July 2023

Purpose- The purpose of the present study is to investigate the service quality of HDFC Bank and how it affects the satisfaction and loyalty of their customers. Finding out how customer satisfaction affects service quality and customer loyalty among HDFC customers is the study’s secondary goal.
Design/Methodology/Purpose -Using a questionnaire-based survey method, data from 120 bank customers were gathered using the Purposive Sampling method. Of these, 55.5 per cent were female and 44.5 per cent were male.Findings- The study’s findings showed a significant link between customer satisfaction and service quality (H1). Results, however, indicate that HDFC Bank customer loyalty is not significantly influenced by service quality and customer satisfaction (H2, H3). Additionally, this study’s findings indicate that there is no conclusive evidence linking customer loyalty and service quality through customer satisfaction as a mediator (H4).
Research limitations/Implications- Results may vary in other countries and generalizability to the full population is constrained. Future studies will use more varied samples or carry out more comparable investigations in different sectors.Practical Implications- The study’s findings showed that client loyalty cannot be assured by customer satisfaction and service quality alone.
Content Analysis of Gift Advertisements
Authors: Mahajan Drishti 
Published: July 2023

The objective of this study is to conduct a content analysis of gift themed advertisements that appear in the Indian print media. It seeks to contribute to the neglected area of gift advertising by seeking to understand the practitioners use of the gift theme. Three coders were trained to analyse advertisements on select criteria culled from gifting literature viz., type of product, type of relationship, gift-giving occasion, type of emotional appeal, verbal and visual cues and gender portrayal. The study reveals the limited popularity of the gift theme as a complete years vigil on two popular media vehicles resulted in only 53 usable advertisements. On the elements of type of product featured and gift giving occasion the results are as expected but they are contrary to literature on all the other variables. There is evidence of lack of variety in the use of the gift theme in advertisements. This theory- practice gap in yet another area of marketing is potentially worrisome and the possible reasons for it forwarded in this research need to be verified by future researchers.
Geopolitics of Renewable Energy: Shaping the Global Power Landscape
Authors: Mangla Ashima 
Published: July 2023

This research paper provides a comprehensive analysis of the geopolitical implications of the global transition towards renewable energy. It scrutinizes the traditional energy landscape, emphasizing how fossil fuel resources have historically shaped geopolitical power structures. The key drivers of the shift towards renewables, such as climate change, economic viability, and energy security, are elaborated. The paper identifies emerging leaders in the renewable sector, namely, China and the European Union, and discusses how their strategic positioning could reshape global power dynamics. It examines the potential challenges associated with this energy transition and strategies to mitigate these challenges, emphasizing the role of international cooperation. The paper concludes that the renewable energy revolution marks a significant shift in global geopolitics. This research underscores the deep interconnection between energy and power, emphasizing its enduring relevance in this renewable future.
IKA-FLOW : A Flexible Body Overset Mesh Implementation for Fish Swimming
Authors: Coe Michael , Gutschmidt Stefanie 
Published: July 2023

Simulation of inertial aquatic swimmers requires fluid structure interactions with temporal body geometry deformation. In practice, his results in a change of the computational domain boundaries that represent the ”swimmer.” These simulations are traditionally done sing body-fitted mesh and mesh morphing methods, but have drawbacks of negative cell volumes and small time-steps to account for the complex swimming motion. In contrast, the overset mesh method, also provided by OpenFOAM®, overcomes most of the drawbacks of the mesh morphing method at the expense of interpolation error. The current OpenFOAM® overset motion library only supports rigid body motion and cannot be used to resolve a body undergoing undulation. A modified motion solver is presented that allows for the complex mesh motion of an overset mesh for four body-caudal fin (BCF) virtual swimmers. The results of this solver are compared with published data of body-fitted meshes. The effect of different simulation parameters (including number of solving iterations, time delay, and temporal resolution) is investigated. Additionally, a novel simulation and comparison of the Ostraciiform locomotion mode with Anguilliform, Carangiform, and Thunniform modes are made investigating the wake, drag and lift. It is concluded that fish undulation has a marked effect on reducing lift generation. Lastly, a comparison of turbulence models (Spalart-Allmaras, k − ω SST, and k − kL − ω) at multiple Reynolds numbers shows that all three models have similar performance at lower Reynolds numbers but diverge at higher numbers.
ORGANIZATIONAL SUPPORT PERCEPTION AS A DETERMINANT FOR EMPLOYEE ENGAGEMENT
Authors: Ekwunife Gabriel Okafor  , Emmanuel Dibua  , Nwosu Chike  
Published: July 2023

The performance of employees is crucial in influencing the survival of firms, and so, what improves the employee's performance is significant. Therefore, this study examined the workers' perception of supervisor support and how it could improve their work vigour in selected microfinance banks in southeast Nigeria. A survey research design was adopted by the study, The population of the study consisted of 500 employees of 50 microfinance banks in the region and a complete enumeration was used. A self-developed questionnaire was deployed in data collection and was analyzed using simple regression, and the hypothesis was tested at a 5% level of significance, signifying a 95% confidence level. The findings revealed that there is a statistically significant relationship between supervisor support and employee vigour in the selected microfinance banks in southeast Nigeria (R = .963; RSquare = .928; F = 3314.956; P-value < 0.05). The study concluded that POS as measured by supervisor support positively correlates with employee engagement as measured by vigour in the selected microfinance banks in southeast Nigeria. Sequel to this, it was recommended that the management of the studied banks need to always evaluate what the supervisors do with the supervised because the employees equate what the supervisors do with what the firm does. This will go a long way in making the supervisors behave in the best possible way and will lead to better employee engagement.
Keywords: Engagement, Vigor, Support, Supervisor, Microfinance, Banks, Nigeria.
A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0)
Authors: Li Lingcheng , Fang Yilin , Zheng Zhonghua , Shi Mingjie , Longo Marcos , Koven Charles D. , Holm Jennifer A. , Fisher Rosie A. , McDowell Nate G. , Chambers Jeffrey , Leung L. Ruby 
Published: July 2023

Abstract. Tropical forest dynamics play a crucial role in the global carbon, water,
and energy cycles. However, realistically simulating the dynamics of
competition and coexistence between different plant functional types (PFTs)
in tropical forests remains a significant challenge. This study aims to
improve the modeling of PFT coexistence in the Functionally Assembled
Terrestrial Ecosystem Simulator (FATES), a vegetation demography model
implemented in the Energy Exascale Earth System Model (E3SM) land model
(ELM), ELM-FATES. Specifically, we explore (1) whether plant trait
relationships established from field measurements can constrain ELM-FATES
simulations and (2) whether machine learning (ML)-based surrogate models
can emulate the complex ELM-FATES model and optimize parameter selections to
improve PFT coexistence modeling. We conducted three ensembles of ELM-FATES
experiments at a tropical forest site near Manaus, Brazil. By comparing the
ensemble experiments without (Exp-CTR) and with (Exp-OBS) consideration of
observed trait relationships, we found that accounting for these
relationships slightly improves the simulations of water, energy, and carbon
variables when compared to observations but degrades the simulation of PFT
coexistence. Using ML-based surrogate models trained on Exp-CTR, we
optimized the trait parameters in ELM-FATES and conducted another ensemble
of experiments (Exp-ML) with these optimized parameters. The proportion of
PFT coexistence experiments significantly increased from 21 % in Exp-CTR
to 73 % in Exp-ML. After filtering the experiments that allow for PFT
coexistence to agree with observations (within 15 % tolerance), 33 % of
the Exp-ML experiments were retained, which is a significant improvement
compared to the 1.4 % in Exp-CTR. Exp-ML also accurately reproduces the annual
means and seasonal variations in water, energy, and carbon fluxes and the
field inventory of aboveground biomass. This study represents a
reproducible method that utilizes machine learning to identify parameter
values that improve model fidelity against observations and PFT coexistence
in vegetation demography models for diverse ecosystems. Our study also
suggests the need for new mechanisms to enhance the robust simulation of
coexisting plants in ELM-FATES and has significant implications for
modeling the response and feedbacks of ecosystem dynamics to climate change.
Prediction of Adherence through Illness Appraisal of Individuals with Diabetes: Role of Experiential Avoidance
Authors: Fayyaz Amna , Yusuf Shazia 
Published: July 2023

In chronic diseases, illness appraisal and adherence to the treatment go hand in hand. Diabetes is a silent killer, and most of the time, the experiential avoidance of the patient leads to drastic consequences. The present study was conducted to investigate the relationship between illness appraisal and adherence, and the mediating role of experiential avoidance in this relationship among individuals with diabetes. For this purpose, the data was collected from 150 individuals with Type-I diabetes (n=71) and Type-II diabetes (n=79), recruited from hospitals in Islamabad using a cross-sectional research design. To assess illness appraisal, Brief Illness Perception Questionnaire (Broadbent et al., 2015); for adherence, General Medication Adherence Scale (Naqvi et al., 2018) and for experiential avoidance, Brief Experiential Avoidance Questionnaire (Gámez et al., 2013) were administered. It was hypothesized that 1) there is a negative relationship between adherence, illness appraisal, and experiential avoidance among individuals with diabetes. 2) Illness appraisal predicts adherence among individuals with diabetes. 3) Experiential avoidance mediates the relationship between illness appraisal and adherence among individuals with diabetes. Results indicated a significant negative relationship between adherence, illness appraisal, and experiential avoidance among individuals with diabetes. Results also highlighted that illness appraisal significantly predicted adherence among individuals with diabetes. Furthermore, experiential avoidance significantly mediated the relationship between illness appraisal and adherence among individuals with diabetes. Study results have important implications in clinical settings to improve the treatment process and consider all the other factors impacting adherence.
IMPACT OF MORTGAGE LENDING AND STATE FINANCING PROGRAMS ON THE CONSTRUCTION INDUSTRY OF KAZAKHSTAN
Authors: Омарова А.Т. , Баткеева Д.Р. , Сапарова Б.С. , Сраилова Г.Н. , Batkeeva D. , Omarova A. , Saparova B. , Srailova G. 
Published: July 2023

В статье рассматривается влияние ипотечного кредитования и госпрограмм финансирования на строительную отрасль Казахстана. В ходе исследования авторами была выдвинута гипотеза о дальнейшем росте показателей ипотечного кредитования в строительном секторе Республики Казахстан в условиях трансформации геополитической и экономической ситуации в мире с использованием методов математического моделирования и прогнозирования и применения регрессионного анализа. Помимо своей социальной значимости, развитие ипотечного кредитования способствует сбалансированному развитию финансовой системы страны и сохранению ее стабильности, а также стимулирует развитие строительного сектора экономики, способствуя окупаемости проектов за счет увеличения спроса на жилье среди населения. На основе полученных результатов был сделан вывод о том, что ипотечное кредитование играет важную роль в развитии строительной отрасли Республики Казахстан, поэтому необходимо уделять большое внимание таким фактам, как различные кредитные инструменты и государственное финансирование программ. Результаты исследования имеют теоретическое и практическое значение и подтверждают гипотезу автора о дальнейшем росте показателей ипотечного кредитования в строительном секторе Республики Казахстан и развитии программ государственного финансирования этой отрасли.
The article examines the impact of mortgage lending and state financing programs on the construction industry of Kazakhstan. In the course of the study, the authors put forward a hypothesis about the further growth of mortgage lending indicators in the construction sector of the Republic of Kazakhstan in the context of the transformation of the geopolitical and economic situation in the world using mathematical modeling and forecasting methods and the use of regression analysis. In addition to its social significance, the development of mortgage lending contributes to the balanced development of the country's financial system and maintaining its stability, as well as stimulates the development of the construction sector of the economy, contributing to the payback of projects by increasing the demand for housing among the population. Based on the results obtained, it was concluded that mortgage lending plays an important role in the development of the construction industry of the Republic of Kazakhstan, therefore, it is necessary to pay great attention to such facts as various credit instruments and state financing of programs. The results of the study have theoretical and practical significance and confirm the author's hypothesis about the further growth of mortgage lending indicators in the construction sector of the Republic of Kazakhstan and the development of public financing programs for this industry.
Antibacterial efficacy of aloevera peel extract against streptococcus mutans and P. gingivalis
Authors: Majid Aisha , Sameed Qurat Ul Ain , Asim Saima , Shirazi Nauman , Salman Syed Muhammad Abdullah , Gillani Syeda Munazza , Ali Sajid 
Published: July 2023

Background: The anti-inflammatory, antioxidant, antiviral, antibacterial, antitumor, antiarthritic, and anti-diabetic properties of aloe vera has been well documented in the literature. Considering its antibacterial properties evaluating its benefits as mouth rinse in the oral diseases may facilitate the patients in getting cheaper and safer herbal remedy to clean their oral cavities. Objective: To evaluate the Antibacterial efficacy of aloevera peel extract against Streptococcus mutans and P. gingivalis. Methodology: It was a preclinical experimental study conducted at Baqai Medical and Dental College Karachi, from February to March 2023. Calculated sample size was n =60. The participants were given an envelope for group randomization. S. mutant samples and P. gingivalis were incubated on appropriate media. The Aloe Vera leaves were washed and gel was removed the peels were shed dried and lastly was grinded to powder form. Ethanol (70%) were used for soaking for 15 days with intermittent shaking. The extract was diluted in distilled water in 1:4 (Extract: Distilled water) concentration.
MENINGKATKAN KREATIVITAS SISWA MELALUI PEMANFAATAN SOFTWARE HADITS PADA PEMBELAJARAN AL-QUR’AN HADITS DI MTSN 1 LUBUKLINGGAU
Authors: Mulyan Monica 
Published: July 2023

Artikel ini mengkaji sebuah gagasan untuk dapat memanfaatkan teknologi sebagai sebuah media pembelajaran yang menarik. Memanfaatkan software hadits sebagai media pembelajaran dapat menjadi sebuah solusi praktis untuk mencari hadits yang berkaitan dengan pembelajaran. Aplikasi Kitab Shahih 9 Imam dan Lidwa Pustaka merupakan aplikasi yang mudah digunakan oleh guru maupun siswa. Sumber primer yang digunakan dalam kajian ini adalah software hadits yaitu Kitab Shahih 9 Imam dan Lidwa Pustaka. Metode yang digunakan dalam penelitian ini adalah metode kualitatif, sedangkan sumber sekundernya adalah jurnal, buku, tafsir, website, dan sumber lainnya yang mendukung. Untuk mengolah dan menganalisis data pada penelitian ini digunakan metode deskriptif analisis. Simpulan penelitian ini adalah memanfaatkan teknologi dapat mendorong guru untuk kreatif menggunakan teknologi sebagai media pembelajaran agar tujuan pembelajaran dapat terpenuhi dan terciptanya suasana pembelajaran yang mudah serta praktis digunakan.
Preface: 2nd International Conference on Economic Administration and Information Systems (EAIS 2023)
Authors: Malan Bonnie , Zuo Jun 
Published: July 2023

The 2023 2nd International Conference on Economic Administration and Information Systems (EAIS 2023) was held in Chongqing, China during May 27-28, 2023. The main purpose of this conference is to provide an international platform for displaying and publishing the latest scientific research results related to the topics of economic administration, business strategies, e-commerce, innovation management, and information systems.
EAIS 2023 provided delegates with a good opportunity to exchange new ideas, establish research and/or business contacts, and establish potential partnerships for global partnerships. We sincerely hope that this conference will help to increase knowledge in relevant scientific and academic fields.
We hope that our later discussion may result transfer of experiences and research findings from participants to others, from one institution to another, from social researcher to engineering researcher and vice versa. Also, we hope this event can build a new and strong research network.
We would like to thank each co-host for the efforts to give significant contribution particularly on paper selection. Last but not least, we would like to express our most sincere gratitude to the international advisory board, scientific committee, steering committee, and everybody taking parts in the success of the conference.
Regards,
The Organizing Committees of EAIS
Chongqing, China
A Conceptual Procedure-Based Study on Influencer Marketing Trend Forecasting
Authors: Lu Xuankai 
Published: July 2023

As the digital era develops further, digital marketing is more desirable than traditional marketing. Influencer marketing is now an essential component of brand marketing, and it is evolving into a marketing technique. However, for now, it appears many people do not have a clear idea of what this model consists of and how it is implemented. The paper begins by describing the present context and the definition of influencer marketing according to academic overviews. By analysing the content of influencer marketing and combining the top-notch samples, this research suggests a range of ways to optimise this marketing model so that more people can understand and incorporate this promising trend. Thus, it might encourage the development of influencer marketing hypothesis. Finally, this paper comes up with an implementation approach for the effective management of influencer marketing for brands, and puts forward further research approaches in view of the effectiveness and limitations of marketing models.
Challenges and Solutions Facing the Policy of Hainan Free Trade Port in China
Authors: Liang Zhanzhan 
Published: July 2023

This paper examines the challenges facing China's Hainan Free Trade Port and proposes potential solutions for its development. As a new national strategy, the Hainan Free Trade Port faces various obstacles, such as inadequate infrastructure, insufficient legal framework, and limited talent resources. In response to these challenges, this paper suggests that the Hainan Free Trade Port should focus on strengthening infrastructure construction, improving legal protection and intellectual property rights, and attracting high-quality talent. Additionally, this paper provides an outlook for the future of the Hainan Free Trade Port, highlighting its potential to promote regional economic development and contribute to China's opening-up and reform policies.
Preface: 6th International Conference on Chemical Engineering and Advanced Materials (CEAM 2023)
Authors: Thackeray Willie , Li Jie 
Published: July 2023

The 2023 6th International Conference on Chemical Engineering and Advanced Materials (CEAM 2023) was held in Chongqing, China during June 24-25, 2023. This conference aims to provide opportunities for all participants to exchange new innovative ideas and application experiences as well as to provide a platform where possible innovators can think of new ventures, generate contacts and networks for future collaboration.
The CEAM 2023 topics include chemical engineering, biological chemistry, biological pharmacy, food science, chemical materials, nano materials, materials processing engineering, and advanced materials applications. This conference brought together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations, and to spark new ideas, with the aim of developing new projects and exploiting new technology. The conference has received more than 60 papers from all around the world and after a rigorous peer-review process, less than 50 papers were accepted.
On behalf of the conference organizers, we would like to thank the reviewers for their time and effort in reviewing the papers. Their feedbacks to the authors have been excellent and useful to ensure high quality papers for the conference. Our appreciation to all keynote speakers for sharing their thoughts and experiences with respect to various topics. Our sincere thanks also go to all attendees from all around the world for participating in the conference. Finally, we would like to thank the organizing committee members for their hard work, cooperation, and insights in ensuring the success of this conference.
Scientific Committee of CEAM 2023
Chongqing, China