bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Application of Actor Reverse Performance and AI Technology
Authors: Zuo Yanchen
Published: February 2025

Reverse acting is a performance technique that breaks conventions. Actors use this method to understand their characters from different angles, thus entering the role with a fresh perspective. This approach helps actors more accurately grasp the psychological activities of their characters and understand their motivations. It can even uncover secrets deep within the characters psyche. This unconventional performance style can achieve twice the result with half the effort. When the external behavior of a character contradicts its inner motivation, it creates a strong sense of conflict. By using AI to analyze the emotional reverse expression in script characters, techniques such as sentiment analysis, behavior simulation, and speech recognition can deeply explore the psychological activities and behavioral patterns of characters. AI not only helps analyze the emotional contrast of characters but also assists actors in training their emotional expressions, and even provides new ideas for scriptwriting. Through multi-dimensional analysis and presentation by AI, the emotional layers of dramatic works can become clearer, and the complexity of characters can be better portrayed. In this intelligent age, everyone is both small and great. Just as Freud deconstructed and reconstructed his psychoanalytic theory by analyzing the personalities of classic figures like Antigone and Oedipus, the new era of drama and film can also provide a reference for advanced human self-awareness in this intelligent age through the new modal analysis of the personalities of various classic characters from ancient and modern times, both at home and abroad.
Seismic Inverse Q Filtering for Carbonate Reservoir Characterization
Authors: Zhou Yan , Yu Xin
Published: February 2025

The Ordovician fractured-vuggy carbonate reservoirs in China’s Tarim Basin are characterized by ultra-deep burial (>5000 m) and significant vertical-lateral heterogeneity. Such geological complexity severely degrades seismic data quality, manifesting as low signal-to-noise ratios (S/N) and limited resolution, thereby challenging accurate reservoir characterization. Aiming at these problems, here we use a stabilized inverse-Q filter to process 3D seismic data, conducting seismic amplitude compensation and waveform phase correction, simultaneously. Comparing the inverse-Q filtered result directly with the raw seismic data in terms of seismic profiling, interior information within the reservoir, characterization of faults and fracture-vuggies, we demonstrate the advantages of stabilized inverse-Q filtering in enhancing seismic resolution, strengthening weak signals, and improving lateral continuity of reflections, and reveal that this method can improve the accuracy of fracture-vuggy characterization in the Ordovician carbonate reservoirs.
Le cittadinanze greche multiple in età imperiale. Aspetti della comunicazione tra oratore e pubblico in Dione di Prusa
Authors: Cecchet Lucia
Published: February 2025

Il presente contributo intende discutere la questione delle cittadinanze greche multiple in età imperiale analizzandonalcuni passi delle orazioni bitiniche di Dione di Prusa. Si tratta di passi che mettono bene in luce le modalità e i contesti pubblici e istituzionali nei quali le cittadinanze acquisite, lungi dall’essere percepite semplicemente come titoli onorifici, ponevano difficoltà, limiti e sfide concrete per i loro titolari: il caso di Dione e dei suoi sofisticati tentativi di destreggiarsi davanti alle assemblee e ai consigli di città bitiniche spesso rivali tra loro ne è un chiaro esempio.
Analisis Kesalahan Siswa Berdasarkan Prosedur Newman dalam Menyelesaikan Soal Sistem Persamaan Linier Dua Variabel ditinjau dari Gaya Kognitif
Authors: Virnia Virnia Dwi Rahmawati , Fadillah Syarifah , Astuti Reni
Published: February 2025

This research is a qualitative descriptive research. This study aims to analyze students' errors in solving SPLDV problems based on the Newman procedure in terms of cognitive style. This research was conducted at SMP Negeri 1 Sandai with the research subjects being grade VIII students. Then two students were taken each based on the Field Dependent cognitive style and the Field Independent cognitive style to be interviewed. The data analysis technique used in this study is the description method. Some of the results of the analysis of student errors in the Newman procedure, obtained a percentage of errors in understanding the questions 76%, transformation 50%, process skills 23%, and writing the final answer 90%. Based on the overall results of the percentage of student errors, it was found that students with the Field Dependent cognitive style made more mistakes than Field Independent students with the overall percentage of the Newman procedure in terms of student cognitive style. 36% errors in understanding the questions, 23% transformation errors, 3% process skills, and 38% writing the final answer.
Communication skills in standardized patient and peer assessment: A cross-sectional study
Authors: Bui Thi Hien , Nguyen Thi Hoa Huyen , Tran Thuy Duong , Hoang Lan Van
Published: February 2025

Introduction: In simulation-based education in healthcare, while standardized patients will provide a summary for constructive verbal or written post-encounter feedback to the doctors or nurses from the patient’s viewpoint, peers are also valuable resources to provide accurate and rapid feedback in the view of other healthcare professionals.
Objectives: To compare SPs’ and peers’ feedback in assessing communication skills.
Methods: A cross-sectional study was conducted on trainees (doctors and nurses) and standardized patients who participated in the communication skills training in 2019. A convenience sampling method was applied to collect data using the self-designed questionnaire.
Results: 889 pairs of SPs’ and peers’ feedback were included in this study. Peers and standardized patients did not agree on communication skills by scenarios, p >0.05. By subscales, there was also no agreement between peers’ and standardized patients evaluations of trainees’ communication skills.
Conclusions: This finding supports the continued use of both training methods to help trainees have diverse perspectives in their self-reflection process as healthcare professionals.
The Impact of Head Impacts on Neurodegeneration
Authors:   , van Amerongen Suzan
Published: February 2025

Single and repetitive head impacts are recognized risk factors for neurodegenerative diseases. This thesis aimed to identify pathophysiological pathways, clinical characteristics, and potential biomarkers associated with neurodegeneration following such impacts.

In Part I, we investigated the effects of traumatic brain injury (TBI) on Alzheimer’s disease (AD). Our findings showed no distinct impact of TBI on the clinical presentation or cognitive decline in AD. However, we identified that TBI occurring before the age of 25 was associated with an earlier onset of AD. In Part II, we shifted focus to neurodegeneration linked to repetitive head impact (RHI) exposure. We examined the neuropathology and clinical presentation of a former professional soccer player with dementia, identifying chronic traumatic encephalopathy (CTE) pathology. Our findings highlighted that CTE-related neurodegeneration can clinically resemble AD. Parts III and IV explored in vivo clinical and pathophysiological characteristics by assessing cerebrospinal fluid (CSF), blood biomarkers, and neuroimaging findings in individuals with prior RHI exposure. We identified multiple factors potentially contributing to neuropsychiatric symptoms in these individuals, including neuroinflammatory, neurodegenerative, and catecholaminergic processes. Additionally, we observed that RHI exposure was associated with long-term decreased concentrations in CSF biomarkers reflecting norepinephrine and dopamine pathways. Furthermore, plasma biomarkers of AD pathology correlated with cognitive performance in RHI-exposed individuals.

In conclusion, our findings suggest that TBI has a limited impact on the clinical and pathophysiological characteristics of AD. RHI exposure may be associated with a range of pathophysiological processes beyond CTE-specific p-tau pathology, including neuroinflammation, neuronal loss, and catecholaminergic dysregulation, some of which may contribute to cognitive and neuropsychiatric symptoms. These altered biological pathways offer potential targets for biomarker development in the context of CTE and emphasize the urgent need for disease-specific biomarkers.
Cooling Fan Uses the BLDC Motor
Authors: Van Dung Do  , Van The Tran
Published: February 2025

The article presents simulation results, experimental results, and calculations of temperature control via an NTC temperature sensor and then demonstrates Oled SH1106 using the I2C port for communication. The author uses a 12V/100W BLDC motor with a maximum speed of 5380rpm to replace a 12V/100W DC motor with a maximum speed of 2200rpm. The author uses Arduino to control the speed of the cooling fan and shows it through the OLED screen. The input of the control is an NTC-type temperature sensor. However, this control method is independent of the control on the vehicle's control box. This may be a limitation, but this research mainly demonstrates the applicability of BLDC motors. Using the overview method of DC motors compared to BLDC motors, calculate the temperature to control BLDC motors to reduce the heat of internal combustion engines and electric motors on cars. Replacing DC motors with another motor is a step forward in the electric motor industry. BLDC motor is an option to replace the DC motor.
Analyzing the Sources of Noise in Internal Combustion Engines
Authors: Am Quoc Do
Published: February 2025

Internal combustion engines are extensively used in various modes of transportation, including ships and cars. However, their operation generated significant noise, which can disrupt daily life and poses health risks. Prolonged exposure to noise can lead to insomnia, cardiovascular diseases, and even death, making noise pollution a growing social concern. As the primary power source and major noise contributor in ships and automobiles, internal combustion engines play a crucial role in overall noise levels. The noise produced by internal combustion engines stems from various sources and mechanisms within the engine. These includes the combustion process itself, mechanical interactions between engine components, and the exhaust system, ect. Each of these sources have specific causes and contributing factors. This work discusses and analyzes the sources of noise, their causes, and the factors that influence them. By addressing these key areas, it is possible to reduce the negative effects of engine noise on human health and well-being.
Synthesis of ZnO Nanostructures for Photoluminescent Ink Applications
Authors: Thanh Phuong Nguyen  , Ngoc Nhung Thi Nguyen  , Phuong Trinh Le Nguyen
Published: February 2025

In this study, we have successfully synthesized ZnO nanoparticles (ZnO NPs) using co-precipitation and hydrothermal methods. ZnO NPs were fabricated by co-precipitation for spherical shape, while the hydrothermal method was for rod-shaped morphology. The XRD analysis shows that ZnO NPs possess a hexagonal wurtzite structure for two synthesis methods. The UV-Vis spectra analysis shows that the ZnO NPs have an absorption peak at the wavelength of 355 nm. The PL spectra result reveals that ZnO NPs synthesized by co-precipitation have two peaks at about 570 nm and 650 nm, while ZnO nano-rods synthesized by the hydrothermal method have a PL peak at 650 nm. Luminescent inks based on ZnO nano-rods and nano spherical particles were printed on filter paper using a screen printing method. The logos of the“Faculty of Graphic Arts and Media” samples show bright yellow and pink fluorescence under UV irradiation 365 nm and are invisible under normal light.
Giáo Dục 5.0: Xu Hướng Giáo Dục Tương Lai Trong Kỷ Nguyên Xã Hội Thông Minh
Authors: Ngoc Trung Dang  , Van Hong Bui
Published: February 2025

Xã hội thông minh còn được gọi là Xã hội 5.0 một khái niệm xuất hiện để ứng phó với những gián đoạn do cuộc cách mạng công nghiệp lần thứ tư gây ra như môi trường bất ổn, khó lường, phức tạp và nguy cơ con người bị phụ thuộc vào công nghệ. Xã hội 5.0 với mục tiêu lấy con người làm trung tâm, do công nghệ thúc đẩy. Giáo dục là một trong những trụ cột quan trọng nhất của sự phát triển của mỗi quốc gia. Hệ thống giáo dục trong kỷ nguyên xã hội 5.0 phải phát triển các kỹ năng sáng tạo, tư duy phản biện, hợp tác, giao tiếp và các kỹ năng sống. Đồng thời học sinh phải có các kỹ năng, kiến thức công nghệ, kỹ năng học tập và đổi mới cũng như các kỹ năng sống và nghề nghiệp; Ngoài ra các mô hình học tập trong kỷ nguyên xã hội 5.0 nhấn mạnh đến khả năng của học sinh trong việc tìm kiếm kiến thức, thông tin từ nhiều nguồn khác nhau, xây dựng vấn đề, tư duy phân tích và hợp tác trong việc giải quyết vấn đề. Nghiên cứu này được thực hiện với mục tiêu xác định các vấn đề liên quan đến giáo dục 5.0 nhằm đáp ứng các yêu cầu của xã hội 5.0 từ đó đưa ra các hướng tiếp cận trong giáo dục 5.0. Thông qua việc phân tích đánh giá tài liệu, kết quả nghiên cứu đã xác định được các quan điểm về giáo dục 5.0, các kỹ năng cần phát triển trong giáo dục 5.0, các nguyên tắc của giáo dục 5.0 và xu hướng tiếp cận trong giáo dục 5.0. Với kết quả này chúng tôi kỳ vọng nó sẽ đóng góp không nhỏ trong quá trình hướng tới và hoàn thiện các mục tiêu giáo dục của Việt Nam trong thời đại 5.0 cũng như hướng tới mục tiêu phát triển nguồn nhân lực trong kỷ nguyên công nghệ và hội nhập quốc tế.
Ứng Dụng Công Nghệ AI Tạo các Video Bài Học Sinh Động Hỗ Trợ Dạy Tiếng Nhật
Authors: Thi-Ut-Duyen Nguyen
Published: February 2025

Trong bối cảnh nhu cầu học tiếng Nhật gia tăng, ứng dụng công nghệ tiên tiến vào giảng dạy trở thành xu hướng tất yếu. Nghiên cứu này tập trung vào việc sử dụng trí tuệ nhân tạo (AI) để tạo video mô phỏng tình huống đàm thoại, giúp học viên nâng cao khả năng giao tiếp thông qua môi trường học tập trực quan, sinh động. Phương pháp nghiên cứu bao gồm tổng quan tài liệu, thực nghiệm sư phạm, khảo sát học viên và phân tích nội dung nhằm đánh giá hiệu quả so với giảng dạy truyền thống. Hệ thống video được xây dựng theo quy trình gồm tạo hình ảnh bằng AI, chuyển động, chuyển đổi văn bản thành giọng nói và ghép nội dung. Công cụ AI được sử dụng gồm ChatGPT, TTSFree, Hailuo AI, CapCut và các nền tảng hỗ trợ khác. Kết quả thực nghiệm tại Trường Đại học Sư phạm Kỹ thuật TP.HCM cho thấy phương pháp này giúp tăng hứng thú học tập (98,4%) và cải thiện khả năng ghi nhớ, phản xạ giao tiếp. Đặc biệt, 75% sinh viên cho biết họ tự tin hơn khi giao tiếp tiếng Nhật. Nghiên cứu khẳng định vai trò của AI trong giáo dục và tiềm năng ứng dụng rộng rãi, mở ra hướng đi mới cho giảng dạy ngoại ngữ trong thời đại giáo dục thông minh 5.0.
Cyber Insurance Claims: Navigating a Growing Landscape of Risks
Authors: Goyal Rajesh
Published: February 2025

As the digital landscape evolves, the risk of cyber threats has significantly increased, leading to a rapid growth in the demand for cyber insurance. However, the process of handling cyber insurance claims has become increasingly complex due to the dynamic and sophisticated nature of cyberattacks. This paper examines the challenges and trends in cyber insurance claims, with a particular focus on the difficulties in processing claims related to data breaches, ransomware, and other emerging cyber risks. Through an in-depth analysis of claims data, case studies, and industry responses, the paper identifies key obstacles, including delayed incident detection, ambiguous coverage definitions, and inadequate risk assessment frameworks. The paper proposes solutions such as enhanced risk assessment models, clearer policy terms, improved collaboration between insurers and incident response teams, and the integration of technological innovations like blockchain and AI to streamline claims processing. Additionally, the study highlights the need for regulatory improvements to standardize policy definitions and ensure greater transparency and efficiency in the claims process. The findings provide valuable insights for insurers, regulators, and researchers seeking to address the challenges of cyber insurance claims and adapt to the rapidly evolving cyber threat landscape.
Study on the Corporate Financing Strategy of a Chemical Enterprise as an Example
Authors: Xue Kexuan
Published: February 2025

With the Chinese government's increasing awareness of environmental protection. In recent years, relevant policies have been introduced to promote the industrial upgrading and transformation of chemical enterprises. The transformation and adjustment of chemical enterprises require a large amount of capital investment. Therefore, this paper takes G chemical enterprise as an example, analyzes its financial report, uses the life cycle theory to determine its life cycle stage, and puts forward scientific financing planning and strategies according to the development characteristics and financing needs of enterprises at this stage, establishes diversified financing channels, and improves its financing ability.
Research on Baijiu Stocks: Integrating Entropy-Weighted TOPSIS and LSTM
Authors: Tan Zirui
Published: February 2025

This study addresses the significant stock price volatility in China’s Baijiu industry and the inefficacy of traditional prediction models by proposing an intelligent forecasting framework integrating entropy-weighted TOPSIS and LSTM neural networks. A 17-dimensional evaluation system is constructed, encompassing price, trading, valuation, technical indicators, and financial data. The entropy-weighted TOPSIS method identifies Kweichow Moutai (600519.SH) and Shanxi Xinghuacun Fenjiu (600809.SH) as target stocks. Subsequently, an LSTM model is employed for multi-timescale price prediction, demonstrating superior accuracy compared to conventional models, particularly in short-term forecasting. Empirical results validate the framework’s effectiveness in capturing nonlinear trends and mitigating overfitting. The research offers actionable insights for investors and regulatory strategies, advancing intelligent decision-making in volatile financial markets.
Effect Evaluation and Optimization Suggestions of Green Financial Policies based on Big Data Analysis
Authors: He Shumeng
Published: February 2025

Under the background of Chinas "dual carbon" strategy, whether green finance can promote technological innovation has become a major focus of public attention. This paper uses data from cities in Chinas three major economic zones from 2015 to 2020 to examine whether green finance promotes urban technological innovation efficiency and the moderating effect of environmental regulation. In recent years, energy conservation and environmental protection have gained widespread attention from all sectors of society, and how to achieve sustainable development is an important issue that the whole society needs to consider. At the beginning of the 21st century, Chinas level of scientific and technological innovation has been continuously improving, and green finance has also developed rapidly. However, there is a significant difference in the development level of green finance and technological innovation efficiency across different regions in China. How to build a green finance system that matches this disparity and promote technological innovation has become an urgent issue for local governments to address, while the grasp of environmental regulation efforts within regions requires continuous practice and exploration.
Analysis of Influencing Factors and Mechanism of "Social Phobia" among Enterprise Employees
Authors: Pei Xinran
Published: February 2025

With the emergence and generalization of the term "social fear", more and more people realize that they have more or less emotions or symptoms of social fear, which is not only detrimental to the career development of employees, but also not conducive to the improvement of organizational cohesion. Therefore, it is useful to explore the causes and paths of social fear among employees.Through random sampling, this paper conducted an empirical study on 200 enterprise employee samples, and concluded as follows: First, fear of negative evaluation, self-efficacy and perceived organizational support had significant effects on social fear.Secondly, fear of negative evaluation played a partial mediating role between self-efficacy, perceived organizational support and social phobia.
Transcendence and Reshaping: The Concept, Mechanism and Realization Path of “One Belt, One Road” to Promote the Change of Global Economic Governance System
Authors: Zhang Wendi
Published: February 2025

Since the end of 2019 the new crown pneumonia epidemic has brought a profound impact on the world economy, the world economy has seen a large-scale contraction, economic and trade relations between major countries have faced great challenges, and economic forms such as trade protectionism and anti-globalization have been rapidly pursued, the new crown pneumonia epidemic has also led to the disruption of the global supply chain, and the industrial production of many countries has been seriously impacted, and the global political and economic landscape has undergone significant The global political and economic landscape has undergone significant changes, and global economic governance is facing numerous dilemmas, posing unprecedented challenges to the global economy. The shortcomings of the global economic governance mechanism dominated by developed countries have been highlighted, and the global governance mechanism dominated by developed countries is facing problems such as structural changes in the dominant forces, contradictions and conflicts between different forces, the evolution of the global governance system failing to keep pace with the development of globalization, the lack of opportunities for participation by disadvantaged groups and regions, and the diminishing dominant position of developed countries and other relevant countries in global governance. The Belt and Road Initiative advocated by China, based on its comprehensive national strength and the responsibility of a great power, advocates the building of a community of human destiny, adheres to the stance of multilateralism, upholds the concept of win-win cooperation and development, and focuses on the need to respond to global challenges and to promote changes in the global economic governance system. Based on a new type of development, multilateralism and economic globalization, China has participated in the transformation of the global economic governance system by strengthening global cooperation to prevent global economic risks, building a governance concept of a community of human destiny, formulating more balanced economic policies and rules, and realizing governance innovations in digital governance, so as to promote the improvement of the global economic governance environment conducive to the double cycle of mutual reinforcement. The Belt and Road Initiative advocated by China is a product of the changes in the world economy and the evolution of the international landscape, and its purpose is to conduct business on the basis of access to roads and navigation, to find a new impetus for the growth of the world economy, to respond to the deepening of economic globalization, and to realize the transcendence and reshaping of the pattern of global economic governance.
Evaluating experimental drill on deployment of military emergency medical team for disaster relief
Authors: Luong Trung Hieu , Nguyen Nhu Lam , Hoang Hai , Nguyen Tien Dung , Tran Dinh Hung , Ngo Minh Duc , Nguyen Dai , Nguyen Thanh Chung , Le Quang Thao , Nguyen Thai Ngoc Minh
Published: February 2025

Objective: To evaluate the results of implementing the Military Medical Team model for natural disasters. Methods: Organizing experimental drill of simulated earthquake situations with 25 trauma victims and 5 cases of chronic illness. The evaluated content included the implementation of military medical stations and Medical response at military medical stations in terms of admission, triage, emergency care and transferring.Results: The deployment of the military medical station for disaster relief met the requirements of over 80%. The management of the team leaders, the members' activities, proficiency in using equipment and forms as well as coordination were sufficient > 95%. The triage results using START met the scenario requirements from 87.5% and over. All contents of operation achieved 90% or more. Conclusion: The drill met the set requirements; some contents were added to complete the model.
A Study on Employee Retention: An Important Factor for Organisation Growth in Healthcare Sector
Authors:   1 Assistant Professor, 2Principal  Diamond College of Commerce and Science, RTMNU, Nagpur, India  RTMNU Affiliated to Nagpur University, Shaikh Dr Uzma Tasneem
Published: February 2025

Employee retention in the healthcare sector is a key determinant of organizational growth and service delivery. The healthcare industry faces unique challenges in retaining skilled professionals, where demand for quality healthcare services is on the rise. This study investigates the factors influencing employee retention in healthcare organizations.

The study investigates how employee engagement, job security, company culture, work environment, and recognition affect retention rates. Additionally, it assesses how work-life balance efforts, mentorship, and training programs contribute to employee loyalty.
This study advances our knowledge of employee retention in the healthcare industry by providing insightful information that can inform policy and decision-making.

This research contributes to the broader understanding of employee retention in the healthcare sector, offering valuable insights that can guide policy and decision-making for healthcare institutions. Ultimately, the study highlights that a strategic focus on employee well-being and career growth not only helps in retaining talent but also enhances the overall quality of healthcare services.

Keywords: Employee, Retention Health care sector, strategies
Development of Automated Waste Sorting and Recycling System
Authors:   Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai, kumar V. Ranjith
Published: February 2025

The proposed automated waste sorting and recycling system in this research incorporates state-of-the-art sensing technologies and machine learning techniques to make the waste management process efficient and optimized. With the use of computer vision and sensors, the system accurately detects and sorts various forms of waste materials. Following that, the system activates automated sorting processes that divert recyclable products into corresponding recycling streams. By streamlining the sorting process, the system effectively separates recyclable and non-recyclable materials, maximizing the recovery of resources and minimizing recycling stream contamination. By minimizing manual sorting dependency, this automated system not only improves the speed and accuracy of recycling but also enables a safer and cleaner working condition for waste management. As we aim for a more sustainable world, this state-of-the-art recycling system is at the leading edge of reducing environmental footprint and increasing the possibility of material reuse in an ever-changing world. This new technology seeks to maximize resource recovery, reduce environmental footprint, and lead towards a more sustainable waste management system.

Key Words:  Design, Automation, Waste management, Sorting, Recycling, Optimization, scalability, sustainability.
Juridical Review of Legal Protection for Victims of Mobile Malware Attacks Through Digital Invitations
Authors: Budianto Arif , Nita Surya
Published: February 2025

This research aims to analyze the characteristics of mobile malware attacks through digital invitations, evaluate legal regulations that protect victims in the Banten Police area, and identify obstacles and formulate solutions to improve the effectiveness of legal protection against cybercrime. With increasing cases of cybercrime in the region, this research combines a multidisciplinary approach through field research and normative legal research. Data were obtained from three main sources, namely interviews with victims, law enforcement officials, and legal experts (primary sources); official documents such as laws and regulations (secondary sources); and additional related literature (tertiary sources). Data collection techniques were conducted through observation, in-depth interviews, and documentation, which were then analyzed qualitatively through the stages of data reduction, data presentation, and conclusion drawing. The results showed that mobile malware attacks through digital invitations, which utilize phishing, smishing, and vishing techniques, have become a serious threat with a significant impact on financial security and user data privacy. Existing regulations, such as the Electronic Information and Transaction Law and the Personal Data Protection Law, still have limitations in providing effective protection, especially in the Banten Police area. The main obstacles identified include an imbalance in regulatory focus that focuses more on punishing perpetrators, a lack of technological infrastructure, and low public awareness of cyber threats. Therefore, this study recommends the need for regulatory revisions with an emphasis on victim protection, capacity building of law enforcement officers, public education on digital security, and international cooperation to deal with increasingly complex cybercrime.
THE ADOPTION OF NEW-AGE SPIRITUALISM IN TRADITIONAL ESOTERICISM IN INDONESIA
Authors: PRADIPTA ANDAMAR , STARK ALEXANDER
Published: February 2025

Shamanistic figures play pivotal roles in cultures across the globe as spiritual healers, divinators, or fortune tellers. In Indonesia, shamanistic figures are represented by dukuns who are understood as shamans who possess supernatural abilities to heal or help with other problems. However, new-age spiritualism and its practices such as tarot reading and meditation have affected how traditional esoteric practitioners in Indonesia present their services and personas to the general public. This qualitative study analyzes how new-age perspectives have affected traditional esotericism in Indonesia not just in terms of stigma toward esoteric practitioners and dukuns but also how rituals are conducted. This study used in-depth interviews with five esoteric practitioner informants to conclude the state of esotericism in modern urban Indonesia. The results show that esoteric practitioners have now understood the use of stigma management in personas and rituals based on their understanding of clients’ psychology. This new paradigm has also changed the nature of esoteric rituals from purely liminal to liminoid according to the intentions of practitioners and clients.
THE LITERARY AND ARTISTIC FIELD OF XIYUAN YAJI: A FIELD AND SEMIOTIC PERSPECTIVE
Authors: MENG LIU , HIONG SER WUE
Published: February 2025

This study focuses on the Xiyuan Yaji (Elegant Gathering in the Western Garden) of the Northern Song Dynasty, examining its generation mechanisms and symbolic evolution as a literary and artistic field. It reveals that the literati in Yuanyou period (元祐) accumulated cultural capital through their literati gatherings, thereby constructing the cultural identity of the scholar community and gradually establishing the “Xiyuan Yaji” as a symbol of an ideal life. The Yuanyou literati concretized the Xiyuan Yaji as a manifestation of the ideal life of intellectuals by creating an autonomous cultural domain. This symbol further reinforced its cultural value during the Ming and Qing dynasties. In the modern era, the Xiyuan Yaji has been revived as a spiritual symbol among specific cultural groups. This study provides a fresh perspective for understanding the formation, evolution, and modern significance of cultural symbols of Chinese intellectual culture in the historical context. Additionally, it broadens the application of Bourdieus field theory and semiotics in the study of Chinese intellectual culture.
MAPPING THE EVOLUTION OF ELECTRONIC WORLD-OF-MOUTH RESEARCH: A BIBLIOMETRIC AND TOPIC MODELING ANALYSIS (2002-2023)
Authors: SAIDIN ZAINIL HANIM , HILMI MOHD FAIZ , MUSTAPHA YANTI
Published: February 2025

Electronic word-of-mouth (eWOM) has emerged as a key factor influencing consumer behavior, brand perception, and business strategies in the digital age. This study conducts a comprehensive bibliometric analysis and topic modeling of eWOM research published between 2002 and 2023. Drawing on a dataset of 3,179 articles retrieved from the Scopus database, the study examines trends in publication output, citation metrics, and thematic developments within the field. The results reveal significant growth in eWOM research, particularly from 2010 onwards, reflecting the rise of social media platforms and online review systems. Key themes identified include trust and credibility, the role of social media in amplifying eWOM, and industry-specific applications in sectors such as hospitality, tourism, and healthcare. Topic modeling highlights the evolving nature of eWOM research, with a shift towards empirical studies using advanced analytical techniques. Despite the robust body of work, gaps remain, particularly in managing negative eWOM, understanding cross-cultural differences, and applying big data analytics. This study provides valuable insights into the state of eWOM research and offers directions for future academic inquiry, contributing to the growing body of knowledge on digital consumer behavior and marketing strategies.
ESTABLISING AN INTEGRATIVE SUSTAINABILITY FRAMEWOEK FOR HIGHER EDUCATION IN MALAYSIA: ECONOMIC AND EESG ASPECTS
Authors: YEO AMY CHU MAY , LIM CHIA YIEN , TAY LEE CHIN , CHIN MUI YIN
Published: February 2025

The purpose of this study is to investigate how the Economic, Environment, Social and Governance (EESG) framework for sustainability has been ingrained in a higher institution in Malaysia. Using an interpretive, qualitative approach and a case study, five branches of the HEI in question, were studied for their alignment with the UN 17 SDGs using semi structured interviews and document analysis. The raw data were generated using the MAXQDA software and analysed accordingly. The investigation uncovered that the HEI had effectively pursued most of the SDGs. From a social sustainability standpoint, the university had diligently attended to the welfare and well-being of its students and staff, underscored the significance of maintaining an environmental agenda, and had an excellent governance policy. The economic lens had garnered heightened attention from middle- to the upper-level management. As a whole system, this study has translated into a resilient financial foundation for the institution. Consequently, the study's conclusive findings and subsequent hypothesised model, could potentially serve as a guiding reference for other educational institutions despite the inherent limitations associated with its applicability. To the best of our knowledge, this is the first case study that investigated a private non-profit university in an emerging market.
The impact of digital transformation on public sector organizational commitment: A case study of public management practices
Authors: Engkus Engkus
Published: February 2025

Digital transformation in the public sector significantly reshapes organizational structures, service delivery, and employee engagement. This study aims to examine the critical factors influencing digital transformation in public sector institutions, focusing on leadership, employee commitment, resistance to change, and technological adaptation. Using a systematic literature review approach, the research identifies key success factors, including strong leadership, comprehensive training, cross-departmental collaboration, and robust technological infrastructure. The findings indicate that successful digital transformation enhances efficiency, responsiveness, and employee commitment, particularly when supported by clear communication and adequate training. However, resistance to change remains a challenge, especially when employees perceive automation as a threat to job security. Leadership plays a crucial role in addressing these concerns and fostering a culture of innovation and inclusivity. Furthermore, integrating advanced technologies such as AI, IoT, and big data analytics can significantly improve public service delivery but must align with organizational objectives to maintain public trust. The study concludes that a balanced approach—considering both technological advancements and human factors—is essential for sustainable digital transformation. These insights provide practical implications for policymakers and public sector leaders in navigating digital transformation while ensuring organizational performance and public confidence.
Image segmentation and feature extraction research in Saudi Arabia: Progress, challenges, and future directions (1995–2024)
Authors: Saif Jamil A. M.
Published: February 2025

Image segmentation is an essential process and serves as a foundation on which feature extraction is based. There is also rapid development in this field in Saudi Arabia, which should be accompanied by a review study to trace the evolution of the field and its emerging aspects. In this regard, VOSviewer and Biblioshiny are used to develop a comprehensive study of academic research publications on image segmentation for feature extraction in Saudi Arabia between 1995 and 2024, utilizing Scopus data. This is corroborated by findings that there has been an advancing trend in publication output within the last ten years—a clear manifestation of enhanced research activity in this area. Fundamental terms such as ‘deep learning,’ ‘convolutional neural networks,’ and ‘edge detection’ were observed to be among the most preferred, pointing to the high utility of machine learning in current research work. The research demonstrates that there are effective networks of collaboration and partnerships between the top Saudi authors and Saudi institutions that characterize the research environment in the country. As image segmentation research continues to evolve, this bibliometric study provides information on its evolution in Saudi Arabia, fueled by machine learning and the synergy of disciplines.
Efektivitas Penambahan Ragi Alami dari Ekstrak Buah Mentimun pada Pakan terhadap Bioekologi Ikan Nila
Authors: Ulaan Magdalin , Indriani Yeni , Saselah Jetti , Mose Numisye Iske , Mangangang Yessi
Published: February 2025

Permasalahan yang sering dihadapi dalam industri akuakultur adalah tingginya biaya yang terkait dengan pakan ikan. Pakan merupakan faktor penting yang memengaruhi pertumbuhan dan kelangsungan hidup ikan yang dibudidayakan. Salah satu metode potensial untuk meningkatkan pertumbuhan ikan adalah dengan memasukkan ragi ke dalam pakan mereka. Dalam penelitian ini, digunakan Rancangan Acak Lengkap (RAL) yang terdiri dari empat perlakuan berbeda dengan tiga kali pengulangan. Perlakuan-perlakuan ini dilambangkan sebagai berikut: Perlakuan A (0 ml ragi alami per kilogram pakan), Perlakuan B (10 ml ragi alami per kilogram pakan), Perlakuan C (20 ml ragi alami per kilogram pakan), dan Perlakuan D (30 ml ragi alami per kilogram pakan). Pemberian pakan dilakukan dua kali sehari, dengan dosis pakan setara dengan 5% dari berat badan ikan. Hasil penelitian menunjukkan bahwa pemberian ragi alami yang berasal dari ekstrak buah mentimun ke dalam pakan tidak memberikan pengaruh yang signifikan terhadap parameter bioekologi ikan nila salin. Oleh karena itu, disarankan agar penelitian selanjutnya memperpanjang periode penelitian untuk memastikan efek sebenarnya dari perlakuan dan melakukan analisis uji proksimat untuk mengetahui kandungan protein dalam pakan.
Bioekologi Ikan Bandeng (Chanos chanos) dengan Padat Tebar yang Berbeda di Tambak Polikultur Petta Barat Kabupaten Kepulauan Sangihe
Authors: Indriani Yeni , Ulaan Magdalin , Saselah Jetti Treslah , Manganang Yessi Ayu Putri , Mose Numisye Iske
Published: February 2025

Ikan Bandeng (Chanos chanos) memiliki tingkat permintaan yang terus meningkat sehingga diperlukan teknologi untuk meningkatkan produktivitas ikan bandeng melalui penggunaan padat tebar ikan yang optimal dan teknik budidaya yang digunakan.  Tujuan penelitian ini adalah untuk melihat pengaruh padat tebar yang berbeda dan teknologi budidaya (monokultur dan polikultur) pada pertumbuhan ikan bandeng dan menganalisis rentang nilai kualitas air di lokasi budidaya. Penelitian dilakukan menggunakan metode eksperimental dengan Rancangan Acak Lengkap yang terdiri dari enam perlakuan. Hasil penelitian menunjukkan bahwa padat tebar yang berbeda dan Teknik budidaya yang digunakan (monokultur dan polikultur) tidak signifikan terhadap panjang rata-rata, berat rata-rata, panjang mutlak dan berat mutlak ikan bandeng. Pada parameter kualitas air, seperti suhu, oksigen terlarut, TDS, pH, salinitas, nitrat, nitrit, dan amonia berada dalam rentang optimal  untuk mendukung pertumbuhan ikan bandeng. Kesimpulan dari penelitian ini adalah teknologi polikultur dengan padat tebar optimal 20 ekor/m2 direkomendasikan untuk digunakan pada sistem budidaya di Tambak Reda Kampung Petta Barat dari segi efisiensi lahan dan pakan yang digunakan.
Uji Resistensi Bakteri Endofit dari Akar Eceng Gondok (Eichhornia crassipes) terhadap Linear Alkylbenzene Sulfonate
Authors: Arini Nurul Mahmudah  , Agustina Eva , Faizah Hanik
Published: February 2025

Linear Alkylbenzene Sulfonate (LAS) merupakan salah satu jenis surfaktan anionik yang berpotensi menyebabkan pencemaran lingkungan. Salah satu strategi bioremediasi yang efektif untuk mengurangi pencemaran tersebut adalah bioremediasi menggunakan bakteri endofit. Tujuan dari penelitian ini adalah untuk mengetahui kemampuan resistensi bakteri endofit akar eceng gondok terhadap LAS. Penelitian ini merupakan penelitian eksperimental laboratorium menggunakan metode Rancangan Acak Lengkap (RAL) dengan 5 kali ulangan pada masing-masing isolat bakteri endofit yang didapatkan. Uji resistensi bakteri terhadap LAS dilakukan dalam media cair yang mengandung LAS 10 ppm dan diinkubasi selama 14 hari. Tingkat resistensi bakteri diukur berdasarkan nilai OD bakteri menggunakan spektrofotometri UV-VIS. Hasil penelitian menunjukkan 4 isolat bakteri endofit yang diidentifikasikan sebagai bakteri dari genus Bacillus, Streptomyces, Micrococcus, dan Neisseria, memilki kemampuan resistensi terhadap LAS. Tingkat resistensi tertinggi didapatkan oleh bakteri genus Streptomyces dengan rata-rata nilai OD sebesar 0,728 ± 0,11 dan tingkat resistensi terendah didapatkan oleh isolat bakteri dari genus Bacillus dengan rata-rata nilai OD sebesar 0,361 ± 0,04.
Efektivitas Pistia stratiotes dan Salvinia molesta sebagai Agen Fitoremediasi Limbah Sungai Ciliwung
Authors: Aulya Nailul Rahmi , Ristanto Rizhal Hendi , Nurazizah Meiza , Febryaningrum Sukma , Muthiah Anis , Fauziyah Fina
Published: February 2025

Pertumbuhan pesat dalam pembangunan dan peningkatan populasi mempengaruhi kualitas air sungai, salah satunya adalah Sungai Ciliwung. Penurunan kualitas air Sungai Ciliwung disebabkan oleh limbah organik yang berasal dari rumah tangga, industri, peternakan, dan pertanian, sehingga upaya dilakukan untuk mengelola air dengan menggunakan fitoremediasi. Pistia stratiotes dan Salvinia molesta adalah tanaman air yang mampu menyerap logam berat dalam air tercemar. Tujuan dari penelitian ini adalah untuk menentukan efektivitas tanaman Pistia stratiotes dan Salvinia molesta dalam mengurangi level limbah air di Sungai Ciliwung. Jenis penelitian ini adalah eksperimen skala laboratorium dengan Rancangan Acak Lengkap (RAL) dalam 3 perlakuan (A, B, dan C) dan 6 ulangan. Data dianalisis menggunakan uji ANOVA dengan uji lanjutan DMRT. Hasil penelitian menunjukkan bahwa perlakuan dengan dua jenis tanaman memberikan efek signifikan dalam mengurangi tingkat kekeruhan air, dengan tingkat pengurangan terbesar ditemukan pada tanaman Salvinia molesta. Perubahan warna tercepat dan pengurangan jumlah daun terjadi pada tanaman Pistia stratiotes. Tingkat kontaminan yang diukur dengan Spektroskopi Serapan Atom (AAS) sebelum dan sesudah perlakuan tidak dapat terdeteksi karena batas deteksi parameter uji tersempit yang dimiliki oleh alat/instrumen untuk mengukur sejumlah analit tertentu berbeda.
Biometaversia: Teknologi Pembelajaran Masa Depan dalam Memperkaya Pengetahuan Ketahanan Pangan dan Psikomotorik Siswa
Authors: Izanah Nova , Pratama Vina Risky Ayu , Dini Intan Amalia , Mujamil Muhammad , Kinasih Sekar , Nisa Rifda Nurapni Roudotun , Sulistiawati Sulistiawati , Fitri Aida Destiana
Published: February 2025

Indonesia menjadi salah satu negara yang mengalami krisis pangan. Salah satu aspek yang menjadikan Indonesia mengalami krisis pangan ialah karena terjadinya penurunan produksi bahan pangan akibat keterbatasan lahan pertanian. Peneliti mengembangkan media Biometaversia bertujuan sebagai inovasi dalam pertanian berkelanjutan untuk mengedukasi siswa SMA sebagai salah satu bagian dari masyarakat dalam bercocok tanam hidroponik yang dapat dilakukan di lahan terbatas. Selain itu, tujuan lainnya ialah untuk memperkaya pengetahuan siswa mengenai materi pertumbuhan dan perkembangan tumbuhan. Hal  tersebut dilakukan sebagai upaya mewujudkan masyarakat yang tahan pangan. Penelitian ini dilakukan pada tanggal 14 September 2023 di SMA Negeri 1 Ciruas dengan populasi penelitian siswa kelas XI sejumlah 21 siswa dengan metode random sampling. Penelitian ini dilakukan kuantitatif dengan metode penelitian quasi experimental. Berdasarkan hasil yang didapat, pada penilaian aspek hasil belajar berdasarkan nilai rata-rata post-test didapatkan nilai yang meningkat yaitu 66,79 dari nilai pre-test 55,24 pada Uji T yang menunjukkan nilai signifikasi 0,000 < 0,05, bahwa terdapat perbedaan hasil belajar siswa setelah diberikan treatment. Lalu pada penilaian aspek psikomotor (keterampilan) pada saat pelaksanaan bercocok tanam hidroponik, didapatkan persentase nilai rata-rata dengan kategori baik sekali. Hal tersebut menunjukkan bahwa siswa memiliki keterampilan dalam bercocok tanam hidroponik karena sudah mampu mengaplikasikan pengetahuan hidroponiknya dengan baik.
Kredibilitas Dai: Studi Kasus Dakwah Gus Baha
Authors: Al Farisi Achmad
Published: February 2025

Kredibilitas komunikator dapat menentukan efektifitas dakwah bagi seseorang dai. Gus Baha adalah salah satu pendakwah yang menyampaikan dawkahnya dengan metode dakwah ala pesantren tidak atraktif dan retoris namun dapat diterima oleh Publik. Selama ini belum terdapat tulisan yang mengungkapkan apa saja komponen kredibilitas yang dimiliki oleh Gus Baha. Tulisan ini bertujuan untuk mengungkapkan komponen kredibilitas yang dimiliki oleh Gus Baha. Metode yang digunakan menggunakan metode analisis konten kualitatif dengan membedah komentar netizen di internet ataupun ulasan mengenai kredibilitas Gus Baha baik yang bersumber dari berita media online ataupun blog. Tulisan ini menguraikan komponen kredibilitas dan proses pembangunan kepercayaan dai. Sumber data yang digunakan adalah profil ataupun penyampaian langsung oleh Gus Baha dalam ceramah atau pengajiannya dan respond dari audience yang berbentuk komentar, blog dan postingan di internet. Hasilnya adalah Gus Baha memiliki komponen kredibilitas seperti otoritas, trustworthiness, good sense, good character, dan tidak terlalu menonjolkan dynamism dan goodwill dikarenakan selama ini tidak menampilkan hal tersebut.