bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Intellectual Capital, Islamicity Performance Index, and Corporate Governance on Bank Profitability: Empirical Evidence from Indonesian Islamic Commercial Banks
Authors: Akbar Zoramchev , Hermawan Sigit
Published: November 2023

This quantitative study aims to analyze the influence of Intellectual Capital, Islamicity Performance Index, and Good Corporate Governance on Bank Profitability, specifically focusing on Islamic Commercial Banks in Indonesia from 2016 to 2021. The sample selection utilized the Purposive Sampling method, resulting in a total of eight companies being included. Multiple linear regression analysis was employed to examine the effect of each variable on Return On Assets (ROA). The findings indicate that Intellectual Capital has a significant impact on ROA, while Profit Sharing Ratio does not affect ROA. Furthermore, Zakat Performance Ratio, Sharia Supervisory Board, and Audit Committee were found to have a significant influence on ROA. Data for this study were collected from secondary sources, primarily financial reports and published Good Corporate Governance disclosures on the respective websites of Indonesian Islamic Commercial Banks. The research contributes to the understanding of factors influencing bank profitability and provides valuable insights for policymakers, practitioners, and researchers in the field of Islamic finance and banking.
Highlight:

Intellectual Capital, Zakat Performance Ratio, Sharia Supervisory Board, and Audit Committee have a significant impact on Return on Assets, influencing bank profitability.
Profit Sharing Ratio does not affect Return on Assets, indicating its limited influence on bank profitability.
This study provides empirical evidence on the relationship between various factors, such as Intellectual Capital and corporate governance, and their impact on bank profitability in the context of Islamic Commercial Banks in Indonesia.

Keyword: Bank Profitability, Intellectual Capital, Islamicity Performance Index, Good Corporate Governance, Return on Assets
Enhancing Arabic Language Proficiency in Islamic Boarding Schools: A Comprehensive Study
Authors: Fakhiroh Najiyah , Hikmah Khizanatul
Published: November 2023

This qualitative research study investigates the planning, implementation, and evaluation of Arabic language learning at Ar-Rohmah Putri II Islamic Boarding School in Malang, Indonesia. The research aims to elucidate the intricacies of Arabic language development within the context of Islamic boarding schools, emphasizing its pivotal role. Data was gathered through observation, interviews, and documentation analysis, employing the interactive data analysis technique by Miles and Huberman. The findings reveal three key aspects: 1) meticulous planning of Arabic language curriculum, learning tools, and language competency enhancement programs; 2) effective implementation aligned with educational objectives and the integral curriculum based on tauhid (Islamic monotheism); 3) multifaceted evaluation methods encompassing both student assessments and teacher performance evaluations. This research contributes to a deeper understanding of Arabic language education in Islamic boarding schools and its implications for educational practices worldwide.
Highlights: 

Curriculum Planning: A crucial step in Arabic language learning within Islamic boarding schools involves meticulous curriculum planning.
Effective Implementation: The successful execution of language programs aligns with educational objectives and the integral curriculum.
Comprehensive Evaluation: A multifaceted evaluation approach assesses both students' Arabic language proficiency and teachers' performance.

Keywords: Arabic language learning, Islamic boarding schools, Curriculum planning, Implementation evaluation, Language competency.
Religiosity's Influence on Money Attitude, Self-Control, and Income in Shaping Consumptive Behavior: A Quantitative Analysis
Authors: Hartiningsih Nadhita Bhela , Setiyono Wisnu Panggah
Published: November 2023

This study employs a quantitative approach to investigate the impact of money attitude, self-control, and income level on consumptive behavior, with religiosity as a moderating variable. Using Likert scale data collection and Partial Least Squares (PLS) analysis, our findings reveal that money attitude and self-control positively influence consumptive behavior, while income level has a significant effect. Notably, religiosity moderates the relationship between self-control and consumptive behavior. These results shed light on the intricate interplay between individual financial attitudes, self-control, religiosity, and income level, providing valuable insights for researchers and policymakers seeking to understand and mitigate consumer behavior patterns.
Highlights:

Money Attitude and Self-Control Influence Consumption: Money attitude and self-control are significant factors shaping consumer behavior.
Religiosity as a Moderator: Religiosity plays a moderating role in the relationship between self-control and consumptive behavior.
Implications for Policy and Research: These findings offer insights for policymakers and researchers studying financial behavior and its societal implications.

Keywords: Consumptive Behavior, Money Attitude, Religiosity, Self-Control, Income Level
Fostering Religious Character in Elementary School Students: Insights from Religious Habituation Activities
Authors: Febriyanti Berliana Khofifah , Supriyadi
Published: November 2023

This qualitative phenomenological study explores the process of shaping the religious character of elementary school students through religious habituation activities both within and outside the classroom. Conducted at Hawari Creative Islamic Elementary School, Sidoarjo, with seven participants including religious teachers and grade 1 to grade 6 educators, the research identifies seven key habituation practices for strengthening students' religious character. These practices encompass praying before learning, memorizing Asma al-Husna, congregational Dhuha and Dhuhr prayers, memorizing juz 30, morning almsgiving, and reading surah al-Kahf. The study sheds light on the significance of these activities in religious character development, offering valuable insights for educators and researchers in the field of religious education.
Highlights:

Effective Religious Character Formation: This study provides insights into the efficacy of religious habituation activities in shaping the character of elementary school students.

Multifaceted Habituation Practices: The research identifies and describes seven specific habituation practices, illustrating their role in religious character development.

Educational Implications: The findings offer practical implications for educators and researchers seeking to enhance religious education strategies in elementary schools.

Keywords: Religious habituation, Elementary school students, Character development, Qualitative approach, Phenomenology
Interactive Arabic Language Learning: Enhancing Al-Arabiyah Baina Yadaik through Articulate Storyline
Authors: Yuliyanti Silviya , Fauji Imam
Published: November 2023

This study aims to develop instructional material for Al-Arabiyah Baina Yadaik's book As-Sakan utilizing Articulate Storyline. Employing the Research and Development (RnD) methodology, the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) is utilized for systematic development. Data collection techniques encompassed observation, interviews, expert validation, teacher and student questionnaires, as well as documentation. The material expert assessment yielded an average of 88%, indicating high suitability. Media experts also deemed the material highly feasible, scoring an average of 97%. Arabic teachers' response averaged at 97%, affirming its appropriateness. Moreover, grade 10 students achieved an impressive average score of 97.16%. Expert validations and user feedback demonstrate that this interactive learning medium, rooted in Articulate Storyline, is highly effective for Arabic language education, offering a promising avenue for enhanced learning experiences.
Highlight:

Methodological Approach: This study employs the Research and Development (RnD) methodology, leveraging the systematic ADDIE model for the development of instructional material, ensuring a structured and effective process.
Comprehensive Data Collection: The research utilized diverse data collection techniques including observation, interviews, expert validation, and questionnaires from both teachers and students, as well as thorough documentation, ensuring a holistic assessment of the developed material.
High Suitability and Effectiveness: Expert assessments, media experts' evaluations, and positive responses from Arabic teachers and grade 10 students collectively demonstrate the high suitability and effectiveness of the interactive learning medium created with Articulate Storyline, promising an enriched learning experience in Arabic language education

 

Keyword: Instructional Material, Al-Arabiyah Baina Yadaik, Articulate Storyline, Research and Development, ADDIE Model
Innovative Pedagogy in Arabic Language Acquisition: The Al-Karmaji Approach
Authors: Farikha Nurul , Fauji Imam
Published: November 2023

This study employs a qualitative, descriptive approach to investigate the comprehensive learning process of the Arabic textbook, al-karmaji, in a high school X class at eLKISI Mojokerto. The research delves into planning, methodology, strategies, and utilized media, encompassing stages of initiation, core activities, and conclusion assessments. Findings reveal a unique pedagogical method relying on training from the book's author or designated teacher rather than traditional syllabi or lesson plans. Learning activities adopt a humanistic approach coupled with the qowaid wa tar method, integrating motivational techniques and gamification. Notably, assessments occur weekly and tri-monthly. The study underscores the transformative potential of the al-karmaji approach in Arabic language instruction.
Highlight:

Innovative Pedagogy: This study introduces a unique pedagogical approach in Arabic language instruction, emphasizing experiential learning over conventional lesson plans.

Humanistic Learning: The research highlights the incorporation of a humanistic approach alongside the qowaid wa tar method, enhancing student engagement and motivation in the learning process.

Assessment Frequency: The study identifies a structured assessment schedule, conducted weekly and tri-monthly, providing continuous feedback and opportunities for student progress tracking.

 

Keyword: Arabic Language Instruction, Al-Karmaji Textbook, Qualitative Research, Pedagogical Approach, Learning Assessment
Enhancing Arabic Vocabulary Acquisition: Evaluating Rosetta Stone Application for College Students
Authors: Arifin Fitriah Junita , Hikmah Khizanatul
Published: November 2023

This study investigates the effectiveness of utilizing the Rosetta Stone application as a tool for learning Arabic vocabulary, particularly among college students at Rumah Binaan Indonesia Malang. Employing a case study approach involving observation, interviews, and documentation, the research demonstrates that the application facilitates independent learning, offering exercises with immediate feedback. The findings indicate that college students find the Rosetta Stone application user-friendly and flexible, allowing for convenient Arabic vocabulary acquisition at any time and place. This research sheds light on the potential of smartphone applications, such as Rosetta Stone, in supporting language learning endeavors for beginners.
Highlight:

This study assesses the effectiveness of the Rosetta Stone application as a valuable tool for Arabic vocabulary acquisition, specifically tailored for college students at Rumah Binaan Indonesia Malang.
Employing a comprehensive case study methodology, involving observation, interviews, and documentation, the research substantiates the application's capacity to facilitate independent learning with timely feedback.
The findings underscore the user-friendly and adaptable nature of the Rosetta Stone application, enabling convenient Arabic vocabulary acquisition irrespective of time or location. This research illuminates the promising role of smartphone applications, like Rosetta Stone, in supporting language learning initiatives, particularly for beginners.

Keyword: Rosetta Stone Application, Arabic Vocabulary Learning, College Students, Language Learning Technology, Independent Learning
Enhancing Maharah Kalam: Android-Based Learning Media Development and Efficacy
Authors: Arif Faiz Nur Ihsan , Hikmah Khizanatul
Published: November 2023

In the era of advancing technology and globalization, education is significantly influenced by sophisticated technological advancements. This research aims to elucidate the process of developing Android-based learning media utilizing smart app creators and to assess its effectiveness in enhancing maharah kalam. Employing the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) up to the Implementation stage, the study garnered favorable ratings from media experts (76% indicating 'good'), material experts (84% indicating 'very good'), and students (82% indicating 'very good'). Pre-test and post-test results revealed a notable improvement, with mean scores of 77.5000 and 82.6667 respectively, signifying a significant enhancement in students' maharah kalam proficiency. This research highlights the potential of technology-based learning media in optimizing language education outcomes.
Highlight:

Integration of Advanced Technology: This research addresses the significant impact of sophisticated technology on contemporary education, emphasizing the development of Android-based learning media for language proficiency enhancement.
Effective Implementation through ADDIE Model: The study employs the systematic ADDIE model (Analysis, Design, Development, Implementation, Evaluation) to ensure a comprehensive approach in creating and implementing the learning media, up to the Implementation stage.
Positive Assessment from Experts and Students: The research results showcase favorable evaluations from both media experts (76% indicating 'good') and material experts (84% indicating 'very good'). Additionally, students' responses indicate a substantial improvement in their maharah kalam proficiency, emphasizing the effectiveness of the technology-based learning approach.

Keyword: Technology-Based Learning Media, Android Applications, Maharah Kalam Proficiency, ADDIE Model, Language Education Optimization
Analyzing Higher Order Thinking Skills (HOTS) in Arabic Language Instruction: Insights from Kitab Arabiyyah Baina Yadaik Volume 4A
Authors: Izzah Hajryanti Syahrul , Fauji Imam
Published: November 2023

This study delves into the cognitive aspects of Higher Order Thinking Skills (HOTS) within the commands and instructions presented in Kitab Arabiyyah Baina Yadaik Volume 4A. Employing a qualitative library research method and content analysis, this investigation scrutinizes the instructional content of the book. Findings reveal that the book contains both HOTS-aligned instructions, encompassing skills such as analyzing, evaluating, and creating (C4, C5, C6), as well as non-HOTS instructions related to understanding and applying (C2, C3). The study underscores the importance of discerning and optimizing HOTS components in instructional materials, providing valuable insights for educators and curriculum developers in Arabic language education.
Highlight:

HOTS Identification: Examines HOTS and non-HOTS components in instructional content.
Arabic Language Education: Focuses on enhancing Arabic language teaching and learning.
Curriculum Optimization: Provides insights for educators and developers to improve curriculum materials.

Keyword: Higher Order Thinking Skills (HOTS), Arabic Language Education, Instructional Content Analysis, Cognitive Skills, Curriculum Development
The Influence of Work Motivation, Work Environment, and Career Development on Organizational Commitment Through Job Satisfaction as an Intervening Variable for Employees of Company
Authors: Raihan Azhar , Sumartik
Published: November 2023

This research aims to find out the influence of work motivation on organizational commitment, work environment on organizational commitment, career development on organizational commitment, the influence of work motivation on job satisfaction, work environment on job satisfaction, career development on job satisfaction, job satisfaction to organizational commitment, work motivation to organizational commitment through job satisfaction as an intervening variable, the influence of the work environment. to organizational commitment through job satisfaction as an intervening variable, the influence of career development on organizational commitment through job satisfaction as an intervening variable in PT. Ramayana Lestari Sentosa Sidoarjo. This research method is Quantitative research, Population in this study 88 permanent employees of PT. Ramayana Lestari Sentosa at Jalan Diponegoro No. 2 Sidoarjo, Sampling technique using NonProbability Sampling Technique, The data source used in this study is primary data. Data analysis uses a quantitative research approach. The results of the study concluded that work motivation affects organizational commitment, work environment affects organizational commitment, career development affects organizational commitment, work motivation affects job satisfaction, work environment affects job satisfaction, career development affects job satisfaction, job satisfaction affects organizational commitment, job motivation has no effect on organizational commitment through Job satisfaction as an intervening variable, The work environment affects organizational commitment through job satisfaction as an intervening variable, career development has no effect on organizational commitment through job satisfaction as an intervening variable at PT Ramayana Lestari Sentosa Sidoarjo
Driving Business Performance: Cost Leadership and Government Innovation in SME Partnerships
Authors: Detak Prapanca  , Yani Muhammad , Sari Herlinda Maya Kumala , Gerung Vido Michael , Eva Adelia
Published: November 2023

This quantitative study aims to analyze the influence of Cost Leadership Strategy and government-led innovations on business performance through SME partnerships in the Food and Beverage sector. Conducted in the Sidoarjo district of Indonesia, with a population of 49 SME groups, the research utilized a saturated sampling technique and employed a structured questionnaire to gather data. Using SEM PLS analysis, the results indicate that the Cost Leadership Strategy accounts for 44% of the business performance variance, while innovation through partnerships drives an impressive 86% impact on business performance. The findings underscore the significance of strategically fostering sustainable business performance, highlighting the role of the government in supporting SME partnerships to achieve growth and efficiency in the global marketplace.
Highlights:

Cost Leadership Strategy: Examining the impact of cost-focused approaches on SME business performance.
Innovation in SMEs: Understanding how innovative practices contribute to business growth.
Partnerships for Success: Analyzing the role of SME collaborations in driving sustainable business outcomes.

Keywords: Cost Leadership Strategy, Innovation, SME Business Performance, SME Partnerships, Indonesia.
Impact of Creativity and Lifestyle on Customer Satisfaction in Event Planning Services: A Quantitative Study
Authors: Putri Widya Yeza , Purwanto Nuri
Published: November 2023

This study investigates the influence of creativity and lifestyle on customer satisfaction in event planning services. Using a quantitative approach and explanatory method, data was collected from 100 consumers who had utilized event planning services over a six-month period. The analysis revealed that creativity significantly enhances consumer satisfaction, indicating that higher levels of creativity lead to increased satisfaction. Additionally, lifestyle was found to be a positive predictor of consumer satisfaction, highlighting that a higher lifestyle correlates with greater satisfaction in utilizing event planning services. These findings underscore the importance of creativity and lifestyle considerations in enhancing customer satisfaction within the event planning industry.

Highlight:

Creativity Amplifies Consumer Satisfaction: The study establishes a significant link between creativity and enhanced consumer satisfaction within event planning services, emphasizing the pivotal role of innovative approaches in service delivery.

Lifestyle as a Positive Predictor: The research identifies lifestyle as a key factor influencing consumer satisfaction in event planning services, underscoring the importance of aligning services with the preferences and values of the target clientele.

Implications for Event Planning Industry: These findings provide valuable insights for the event planning industry, highlighting the need to prioritize creativity and consider the lifestyle preferences of consumers to maximize overall satisfaction and competitiveness in the market.

Keyword: Creativity, Lifestyle, Customer Satisfaction, Event Planning Services, Quantitative Approach
Impact of Viral Marketing and Brand Knowledge on Consumer Purchase Decisions: A Quantitative Study
Authors: Ayuni Deva , Purwanto Nuri
Published: November 2023

This study investigates the influence of viral marketing and brand knowledge on purchasing decisions among users of skincare products. With a focus on students at an educational institution, quantitative research methods were employed, and data from 100 respondents were analyzed using SPSS. The findings reveal that viral marketing and brand knowledge each exert a positive and significant impact on purchasing decisions. Moreover, when considered together, viral marketing and brand knowledge jointly contribute significantly to shaping consumer purchasing decisions. This study underscores the relevance of these factors in the cosmetics industry, emphasizing their potential to drive consumer choices and inform marketing strategies.

Highlight:

Consumer Decision-Making Dynamics: This study delves into the intricate interplay between viral marketing, brand knowledge, and their combined influence on consumer purchasing decisions within the skincare product market.

Academic Context as a Valid Setting: Focusing on students at an educational institution provides a unique lens to examine consumer behavior, offering valuable insights for both academia and industry practitioners.

Practical Implications for Marketing Strategies: The findings underscore the pivotal role of viral marketing and brand knowledge in informing effective marketing strategies, emphasizing their potential to shape consumer preferences and drive purchasing decisions in the cosmetics industry.

Keyword: Viral Marketing, Brand Knowledge, Purchasing Decisions, Skincare Products, Quantitative Research
Financial Factors Shaping Stock Prices: Evidence from Food and Beverage Companies (2016-2020)
Authors: Vionita Silvia Al , Setiyono Wisnu Panggah
Published: November 2023

This research employs quantitative methods and secondary data analysis to investigate the relationship between financial variables and stock prices in the food and beverage industry. Utilizing a purposive sampling method, 50 samples from 10 food and beverage companies listed on the IDX are examined over a five-year period. The study reveals that Net Profit Margin and Capital Structure both exert a positive and significant influence on stock prices, whereas Profitability demonstrates a significant negative impact. Notably, when considered together, these three variables collectively influence stock prices. This study's findings have implications for investors, financial analysts, and policymakers, offering insights into the complex interplay between financial metrics and stock market performance within the food and beverage sector.

Highlights:

Financial Metrics Impact: Net Profit Margin and Capital Structure positively influence stock prices, while Profitability has a negative impact.

Sector-Specific Insights: The study focuses on the food and beverage industry, offering sector-specific implications for stakeholders.

Methodological Approach: Quantitative analysis using secondary data and multiple linear analysis techniques informs the research findings.

Keywords: Stock Prices, Financial Factors, Food and Beverage Industry, Secondary Data Analysis, Multiple Linear Analysis.
The Impact of Brand Image, Price, and Product Quality on Mobile Phone Purchase Decisions: A Quantitative Study
Authors: Arif Fikri Rohman , Indayani Lilik
Published: November 2023

This research investigates the influence of brand image, price, and product quality on consumers' decisions to purchase mobile phones at Top Sell Stores in Sidoarjo. Employing a quantitative approach with a sample of 100 consumers, multiple linear regression analysis, coefficient of determination (R2), t-test, F-test, and classical assumption tests were conducted using SPSS statistical software version 22. The findings reveal that brand image, price, and product quality individually exert a significant impact on mobile phone purchase decisions. Moreover, when considered together, they collectively influence consumers' choices. This study contributes to a deeper understanding of the factors shaping mobile phone purchasing behavior, offering valuable insights for businesses and marketers in optimizing their strategies to appeal to consumers in similar retail contexts.

Highlights:

Consumer Preferences: Examining the impact of brand image, price, and product quality on consumer choices in mobile phone purchases.

Quantitative Analysis: Utilizing multiple linear regression and statistical tests to evaluate the significance of these factors.

Practical Insights: Providing valuable insights for businesses and marketers to enhance their strategies in similar retail settings.

Keywords: Brand Image, Price, Product Quality, Mobile Phone Purchase Decisions, Consumer Behavior
Psychological Biases and Investment Decisions: A Study of Economic Students
Authors: Hussalman Akhmad Irsyadin Alain Naufal , Sari Helinda Maya Kumala
Published: November 2023

This research employs a quantitative approach to investigate the impact of financial literacy, regret aversion, herding bias, and the illusion of control on investment decisions among students in the Faculty of Economics and Business at Muhammadiyah University of Sidoarjo. Utilizing a purposive sampling technique, data were collected from 210 students through a validated and reliable questionnaire distributed via Google Forms. The results reveal that while financial literacy exhibits a non-significant influence on investment decisions, regret aversion and the illusion of control significantly affect these decisions. In contrast, herding bias demonstrates an influence that is not statistically significant. This study underscores the importance of psychological factors in shaping investment choices among aspiring economic professionals, with implications for financial education and decision-making strategies in the field.

Highlights:

Financial Literacy's Limited Influence: This research highlights that despite its importance, financial literacy does not significantly impact investment decisions among students in the Faculty of Economics and Business.

Psychological Biases Matter: The study underscores the significance of psychological factors such as regret aversion and the illusion of control in shaping investment decisions, emphasizing the need to address these biases in financial education.

Herding Bias Ineffectiveness: While herding bias plays a role, this study finds that its influence on investment decisions is not statistically significant, indicating room for further investigation into its practical implications.

Keywords: Financial Literacy, Investment Decisions, Regret Aversion, Herding Bias, Illusion of Control
Addressing Domestic Violence in Iraqi Family Law: A Critical Analysis and Recommendations
Authors: Dakhil Yousra Sabri
Published: November 2023

This study delves into the complex interplay between domestic violence and the institution of marriage within the framework of Iraqi family law, focusing on the rights of wives to seek separation in cases of abuse. The research employs a legal analysis approach to scrutinize the existing legal texts, judicial applications, and their impact on marital relationships. Findings reveal a disconnect between the legislation and its practical application, with judicial discretion often prioritizing family preservation over the well-being of the wife. The study highlights the need for legal reform to explicitly grant wives the right to seek separation in cases of any form of domestic violence and advocates for the criminalization of domestic violence. Furthermore, it underscores the importance of conducting seminars and conferences to comprehensively address domestic violence as a societal issue and calls for increased research efforts in this domain. This research offers a critical examination of the status quo and proposes tangible steps towards safeguarding the rights and well-being of spouses affected by domestic violence within the Iraqi legal context.

Highlights :

The study reveals a disconnection between Iraqi family law and the practical application of rights for abused wives, emphasizing the need for legal reform.

Advocacy for explicit legal provisions granting wives the right to seek separation in cases of domestic violence.

Emphasizing the importance of addressing domestic violence through seminars, conferences, and increased research efforts to protect the well-being of spouses.

Keywords : Domestic Violence, Iraqi Family Law, Marital Separation, Legal Reform, Judicial Discretion
Revealing Public Service Quality: Assessing Satisfaction Levels and Performance in a Local Administrative Unit
Authors: Lestari Arum Putri Damayanti , Sukmana Hendra
Published: November 2023

This study delves into the pivotal role of service quality in organizational development, focusing on public service satisfaction at the Suko Village Office, Sidoarjo Sub-district, Sidoarjo Regency. Employing a descriptive quantitative approach through survey methodology, 390 respondents were randomly sampled. Data collection involved primary and secondary sources, while analysis utilized the Community Satisfaction Index (CSI) based on 9 service elements following the Indonesian Minister of Administrative and Bureaucratic Reform Regulation No. 14/2017. Results reveal an average score of 0.111 across the 9 service elements, with the perception interval indicating service quality and performance falling within the "Very Good" category (A). Notably, Service Element U7 (Service Behavior) attained the highest score with an interval value of 3.48 (A), while U9 (Facilities and Infrastructure) marked the lowest with a score of 3.30 (A). This underscores the need for continued focus on infrastructure improvements despite commendable service quality and performance across most domains.
Highlights:

Methodology: Utilized quantitative survey methodology with 390 randomly sampled respondents.
Service Element Analysis: Revealed varying satisfaction levels across 9 service elements, highlighting high performance in Service Behavior and the need for improvement in Facilities and Infrastructure.
Performance Assessment: Overall assessment indicated "Very Good" service quality and performance, signaling effective service delivery within the studied administrative unit.

Keywords: Public Service Quality, Community Satisfaction, Service Performance, Survey Methodology, Service Elements
Harnessing Multimodal Knowledge Graphs for Enhanced Recommender Systems: Insights from Graph Neural Networks and Attention Mechanisms
Authors: Miller Ethan , Davis Olivia , Williams Samuel , Brown Jacob
Published: November 2023

The explosive growth in the amount of information makes users consume information less efficiently, a phenomenon generally known as Information Overload. Recommender systems were created to solve such problems. Today, recommender systems are becoming the core technology of many Internet products. The core problem solved by recommendation algorithms is to replace the user to evaluate the goods or services that the user himself has not consumed and to recommend the goods or services that the user may be interested in to the user. To alleviate the problem of data sparsity, researchers have enhanced the characterization of items or users by introducing the Side Information of the items. In addition to the historical interaction information of the user and the item, the user and the item usually carry some auxiliary information, such as various attributes of the item and the basic information of the user. Reasonable utilization of auxiliary information can effectively alleviate such problems. This paper introduces a novel approach—a graph neural network based on knowledge graphs. This method uses a multimodal knowledge graph to assist recommender systems by converting the multimodal information fusion process in the knowledge graph into an information propagation process on the graph. The neighborhood information is better differentially aggregated through a trainable aggregation approach to obtain a more accurate representation of item node embeddings. In this paper, detailed experiments are conducted on two real recommender system datasets respectively, and the experimental results also show that our method outperforms the current mainstream recommendation algorithms.
Estimation of the geometric measure of entanglement with Wehrl moments through artificial neural networks
Authors: Denis Jérôme , Damanet François , Martin John
Published: November 2023

In recent years, artificial neural networks (ANNs) have become an increasingly popular tool for studying problems in quantum theory, and in particular entanglement theory. In this work, we analyse to what extent ANNs can accurately predict the geometric measure of entanglement of symmetric multiqubit states using only a limited number of Wehrl moments (moments of the Husimi function of the state) as input, which represents partial information about the state. We consider both pure and mixed quantum states. We compare the results we obtain by training ANNs with the informed use of convergence acceleration methods. We find that even some of the most powerful convergence acceleration algorithms do not compete with ANNs when given the same input data, provided that enough data is available to train these ANNs. We also provide an experimental protocol for measuring Wehrl moments, which is state-independent. More generally, this work opens up perspectives for the estimation of entanglement measures and other SU(2)-invariant quantities, such as the Wehrl entropy, in a way that is more accessible in experiments than by means of full state tomography.
Analysis and prediction of automotive running status based on vibration detection system
Authors: Yang Bo , Wang Yanchao , Yang Mei
Published: November 2023

In order to detect and diagnose the operating status without disassembling automobile parts, engine speed and suspension status were tested and analyzed based on vibration detection technology. Based on a DSP processor and an acceleration sensor, the speed of a single cylinder engine was tested under steady-state and transient conditions, respectively. Using the cepstrum method, the vibration signals were collected at different speeds are processed, the fundamental frequency was extracted, and the engine speed information was obtained. According to the speed verification using the Otsu EWT method, the maximum relative error of engine speed was less than 1.5 %, and the error decreases as the speed increases. In order to ensure the reliability of suspension vibration signals, the overall structure and safety of the vibration characteristic detection scheme were designed. Due to the limited sampling frequency of suspension load status sensor data, the EMD method was adopted to process dynamic load signals, which had a good separation effect on suspension vibration signals.
Safety evaluation of tubing and sucker rod vertically handling equipment under stochastic wind load
Authors: Wang Xinzhong , Huang Shengsong , Li Tao , Liu Donghuan
Published: November 2023

Workover operations are crucial for maintain the normal production of oil, gas and water wells and require significant manpower and material resources. In recent years, automation equipment has become more widely used in the operations of oilfield workover operations. The present paper established the finite element model of the newly developed tubing and sucker rod vertically handling equipment, and the deformation, equivalent stress and wind-resistant ability of the structure model under dead weight load and wind load are investigated. The wind load is equivalent to the wind pressure acting on the structural unit, and the transient wind field is composed through linear superposition of harmonic function with random amplitude and frequency. Results show that the maximum equivalent stress is much lower than the yield stress of the structural material under typical working conditions, the maximum displacement of the manipulator position meets the design requirements of positioning accuracy.
Method of co-seismic fault displacement estimate based on peak ground acceleration
Authors: Zhou Qingyun , Zhuang Ruxin
Published: November 2023

Based on the results of the seismic hazard survey in Yunnan Province, four exceedance probabilities of peak ground acceleration were converted into earthquake magnitudes using the empirical relationship between epicentral intensity and magnitude. By using logistic regression, earthquake magnitude, source depth, cover layer thickness, and fault type were used as independent variables to calculate the probability of co-seismic displacement for different earthquake magnitudes. Using the magnitude-displacement empirical model in the southwestern region of China, horizontal and vertical displacements were obtained with a 95 % confidence level. The results show that all Holocene faults have the ability to produce surface displacement, but from the perspective of probabilistic hazard, the probability of surface rupture in the short term is low, while the probability of surface rupture for each fault significantly increases over a long time scale. Buildings with different service lives should adopt different avoidance strategies, and buildings with shorter service lives (<50a) can consider not avoiding active faults.
Nonlinear seismic response of soft soil site in Shanghai
Authors: Zhang Xingyu , Dong Yinfeng , Xie Yiming , Guo Feiyu , Fang Dezhi
Published: November 2023

Site seismic effects are an important factor affecting the design ground motion input. It is well known that for a deep-covered soft-soil site similar to the Shanghai area, the site will exhibit nonlinear characteristics even under relatively small bedrock ground motion input. Therefore, corresponding to different probability levels of ground seismic motion, the seismic effect of the site is also quite different. In the current design codes, the differences in seismic effects are considered by adjusting the maximum value of the design response spectrum and the characteristic period, and the rationality of this adjustment needs further verification. For this reason, the paper takes the standard site model of 280 m cover thickness commonly used in current research as the benchmark, and utilizes the nonlinear time course analysis to study the seismic response characteristics and the variation law of the response spectra of the site under the frequent earthquakes, design earthquakes and rare earthquakes. The results show that: with the increase of the peak value of the input bedrock seismic wave, the amplification coefficient of the surface response wave of the deep-covered soft-soil site decreases gradually; With the increase of the bedrock input, the acceleration amplification coefficient of the deep soil layer increases obviously, which needs to be taken into account when designing the deep underground structure. The long period amplification effect of the case with larger bedrock input (the design earthquake and rare earthquakes) is obvious, and the amplification effect of the acceleration on the surface due to the nonlinearities of the soil is smaller; The current specification adjusts the maximum value and characteristic period of the design response spectrum to achieve the adjustment of different levels of seismic action, which may lead to the underestimation of the long-period response spectrum.
Elucidation of omics approaches and computational techniques for wastewater treatment: A deep insight
Authors: Bansal Hina , Saxena Abhishek , Himanshu  , Singh Pankaj Kumar , Tiwari Archana
Published: November 2023

Ecological contamination has been growing rapidly over the past few decades. Bioremediation, a microbial degradation process, is considered to be one of the most ecological and environment safe and financially friendly remediation methods for ecological parts polluted with chemical-based contaminants. Toward this pursuit, the traditional approaches are skimpy, and individuals must enthusiastically think about the current developments in high-throughput ‘omics’ technologies to remove hazardous and highly polluted contaminants from the environment. The sequencing of various microbial genomes and their functional studies along with metabolic pathway reconstruction and systems biology provide strategies to enhance the degradation and decomposition of pollutants. The computational techniques and omics approaches provide genome-based analysis of the microbial genomes including genomics, proteomics, and system biology along with various tools to determine the structural and functional aspects of microbes and their biodegradation pathways. The current chapter gives a deep insight into the status and advances on different computational techniques and omics approaches to enhance the process of bioremediation. It is a great step against the degradation of the environment and restoring natural resources.
Recent advancement in microbial remediation of heavy metals from industrial effluents
Authors: Shalini K. , Padmanaban V. C. , Aswani T. , Mariaamalraj S.
Published: November 2023

Currently, heavy metal contamination has become a greatest challenge because, they are not degradable. They get accumulated in biotic and abiotic environment. Different strategies are being tested to remediate heavy metal pollution; however, an ecofriendly approach to remove them from the environment is much needed. Bioremediation is one such alternative to the conventional method. Among the utilization of plants and microbes for the heavy metal remediation, microbial remediation is found to be cost effective and low waste generating strategy. Many microorganisms acquired different mechanisms to adapt themselves and remove or detoxify the heavy metals. Besides, many biological agents like biosurfactants, can also be utilized for metal removal from an aqueous environment. This chapter focuses on the impact of heavy metal on the environment, different microbes involved in detoxification process, and biotechnological solutions of heavy metal contamination.
Clean production approaches in industries: a case study on pulp and paper production facility applications
Authors: Yildiz Töre Günay , Can Melisa
Published: November 2023

The sustainability of life and economy is directly dependent on natural resources, and the effects of the use of these resources are felt on both ecology and the economy. As scarce and valuable resources such as raw materials, energy, and water constitute the basic inputs of the economy as well as life. Resource use not only causes increasing pressure on natural resource reserves and adversely affects the environment, but also affects national and international trade and market prices. The efficient and sustainable use of raw materials, energy, and water by both reducing the impact on the environment and producing more value by using less input also contributes to the sustainability of production and therefore the economy. Especially in the second half of the 20th century, the destruction of environmental values brought about by rapid technological and industrial developments and the rapid decrease of non-renewable resources continue to accelerate today.

The rapid industrialization that started with the Industrial Revolution in the 18th century and the unstoppable increase in the world population caused production and consumption to increase at the same rate. In parallel with the changes in industrialization and lifestyles, the wastes have shown a logarithmic increase over time and the local environmental problems due to these wastes have gained a global dimension. The uncontrolled discharge of these wastes continued for years until it was understood that there was a limit to the capacity of nature to accept the wastes generated after production and consumption. Thinning of the ozone layer, global warming, acid rain, toxic and hazardous waste discharges in quantities far above the absorption capacity to various natural receiving environments can be counted within this scope. One of the reasons for the increase in environmental problems has been the very high cost of investments based on the end-of-pipe approach to environmental protection. For this reason, over time, industrial organizations have focused on ‘clean production techniques and practices,’ which is an approach to prevent waste at its source. It has been observed that the industries that have started Clean Production Practices and allocate a budget for investments when necessary, amortize this cost in a short time as it saves water and energy from the cost of waste treatment, and therefore the application area is expanding day by day. It has been understood that clean (sustainable) production can be applied to all type of industries, including small and large, regardless of material, energy and water consumption levels. Observations show that this approach offers the potential to reduce resources by an average of 10–15% without costly investments.

Therefore, in this study, the clean production (CP) approaches in different industries will be discussed with details and CP practices of the pulp and paper production facility will be evaluated in this context.
Controlling organic micropollutants in urban (waste) water treatment by activated carbon adsorption and membrane technology
Authors: Rosa Maria João , Campinas Margarida , Silva Catarina , Mesquita Elsa , Viegas Rui M. C.
Published: November 2023

Population growth and aging, as well as water scarcity driven by climate change call for an enhanced control of organic micropollutants and contaminants of emerging concern (CECs) in the urban water cycle, as progressively entailed in the EU and Portuguese legal framework on drinking water, urban wastewater treatment (UWWT) and water reuse. Multibarrier solutions, grounded on current barriers’ improvement, prioritizing low-energy, physical barriers (to minimize byproducts, resources’ use, and carbon footprint) and producing fit-for-purpose water(s) are needed. Activated carbon(AC)-based and hybrid powdered activated carbon/low-pressure membrane processes have proven a huge potential for controlling organic micropollutants in drinking water treatment and water reclamation, but there is room for improving their sustainability and cost-efficiency with process optimization. This chapter aims to introduce the CECs’ problem in drinking water and UWWT and comprehensively explain the potential for controlling CECs using AC adsorption and hybrid adsorption/low-pressure membrane processes, based on our last decade's lab-, pilot-, and full-scale results herein summarized and discussed.