bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Executive Equity Incentives on Corporate Digital Transformation: Facilitating or Inhibiting
Authors: Liu Lanchi
Published: February 2025

From the perspective of executive equity incentives, this paper utilizes the data of A-share listed companies in Shanghai and Shenzhen from 2007 to 2021 to explore the impact of executive equity incentives on the digital transformation of enterprises. It is found that, firstly, executive equity incentives have an inverted “U” shape impact on enterprise digital transformation, with an inflection point value of 35.17%, and the conclusion still holds after a series of tests. Second, the mechanism test shows that executive equity incentives affect the digital transformation of enterprises through two paths: financing ability and risk-taking ability. Third, the heterogeneity test finds that the effect of executive equity incentives on enterprise digital transformation is more significant in state-owned enterprises and enterprises with dispersed equity. The findings of this paper not only provide empirical evidence for the promotion of enterprise digital transformation, but also provide useful insights for the improvement of enterprise equity incentive mechanism.
Research on the Impact of Carbon Trading Policy on synergy innovation of IUR in the Context of New Quality Productivity
Authors: Yu Yuanchun , Chen Xin
Published: February 2025

Carbon trading policy is an important driving force to promote innovation and development, and it is the key to cultivate new quality productivity for greening transformation. This paper selects the panel data of 30 provinces and cities from 2009 to 2019, and empirically examines the impact effect of carbon trading policy on synergy innovation of IUR by using a multi-temporal double-difference method. The study shows that the carbon trading policy promotes synergy innovation of IUR in the pilot regions, and the conclusion still holds after the placebo test; further research shows that the degree of technology market development level plays a mediating effect in the impact of carbon trading policy on synergy innovation of IUR, the government intervention can strengthen the positive effect of carbon trading policy on synergy innovation of IUR, and the positive promotion effect of carbon trading policy on synergy innovation of IUR in Central China is significant. The positive effect of carbon trading policy on the central region is significant, while the positive effect on the eastern and western regions is not strong.
Machine Learning-Based Personality Prediction Using the Myers-Briggs Type Indicator
Authors: Luo Yi
Published: February 2025

In the digital age, artificial intelligence and machine learning are becoming integrated into all aspects of life. The Myers-Briggs Type Indicator (MBTI) is widely utilized in career planning, team building, and counseling. Traditional MBTI tests require active participation and can be time-consuming and subjective. However, using machine learning to predict MBTI types represents a novel research direction. This study explored the application of machine learning to predict an author's MBTI type based on text data, such as social media posts. A successful text-based classifier was developed, establishing a linguistic foundation for understanding MBTI and personality traits. The research utilized an MBTI dataset derived from posts on the Personality Café forum, along with their corresponding types. The dataset underwent rigorous preprocessing to ensure accuracy and consistency. Two models were trained on the processed dataset: random forest and logistic regression. These models effectively manage complex datasets and generate accurate predictions. The study concluded that predicting personality traits from text data using machine learning is feasible. This finding has significant implications for personality theory, paving new pathways for understanding and applying insights from assessments. This research highlights the significant potential of machine learning in enhancing our comprehension of personality traits and establishes a solid foundation for future studies in this field.
A Comparative Analysis of Lightweight and Non-Lightweight Deep Learning Models for Agricultural Pest Identification
Authors: Luo Chenglin
Published: February 2025

A key component of effective pest control is pest recognition, which involves the exact identification of pests and the prediction of outbreaks through the analysis of data from statistics, mathematics, and biology. More effective identification techniques are required as traditional field surveys, despite their depth, are labor-intensive and have a limited reach. This skill is crucial for the early detection of pests and diseases, enabling prompt actions to prevent their spread. With the advancement of artificial intelligence, approaches like Convolutional Neural Networks (CNNs) can handle vast amounts of visual data gathered by drones, cellphones, and other devices for large-scale agricultural applications, allowing for automatic, real-time monitoring. However, the bulkiness of standard CNN models makes them challenging to deploy on small mobile devices. To achieve effective and precise pest detection in a mobile environment, this study analyzes various lightweight and non-lightweight models for pest recognition. Results indicate that lightweight models show potential for mobile deployment with reasonable accuracy. Furthermore, with additional training and optimization, lightweight models can be effectively utilized for mobile pest identification, offering a promising direction for integrating advanced pest prediction technologies into practical agricultural applications.
Analysis of the Application of UW500 Series Distributed Control System in Pesticide Formulation Automation Production Management
Authors: Yang Jun
Published: February 2025

The pesticide formulation production process requires high precision in control, complex processes, and strict safety and environmental protection standards, making it essential to adopt advanced automation control systems to improve production management. This paper addresses the automation upgrade needs of a pesticide formulation production line, utilizing the UW500 series distributed control system for transformation. By analyzing the system's functional features, a comprehensive process control plan was designed, achieving automation from raw material weighing to finished product packaging. The system's application results indicate significant improvements in key indicators such as product quality, production efficiency, and safety and environmental protection, leading to substantial economic benefits. Practice has shown that the UW500 series distributed control system can effectively meet the automation control needs of pesticide formulation production, providing practical reference for industry intelligent manufacturing upgrades.
Sign Language Recognition Methods: Applications and Advances of Deep Learning Technology
Authors: Jiang Junan
Published: February 2025

In the past few years, the field of sign language recognition (SLR) has attracted widespread attention. Deep learning models demonstrate their significant application potential with their outstanding performance. This paper reviews the application and the advancement of deep learning in the field of SLR, focusing on the application of models, such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks. (LSTM), and Transformers in SLR. This paper systematically analyzes the key step of SLR, including data collection, preprocessing, model training, and performance evaluation. On this basis, this paper discusses the potential of MediaPipe's hand keypoint detection and the integration of CNN, 3D-CNN, and 2D-CNN fusion models, RNN-Transducer and H2SNet frameworks, as well as Transformer-based models, in improving the accuracy of SLR. The aim is to promote the development of accessible communication technologies and enhance the quality of life for those who are hearing-impaired community. This effort also seeks to provide a theoretical foundation and practical guidance for future technological advancements and societal inclusivity.
Fashion and Art: Diverse Possibilities in Creation
Authors: Chen Bingrou
Published: February 2025

In contemporary times, the bond between fashion and art has grown increasingly profound. Designers are eager to showcase their individual artistic pursuits by employing fashion design either as a vehicle for art or as a means of artistic expression. Artists also have started to embrace the potential of transforming fashion into a tool for artistic creation. This paper endeavors to explore the interconnection between fashion and art. It does so by integrating historical records and the insights of theoretical scholars, and by incorporating the creative practices of fashion designers and artists from diverse cultural backgrounds. The aim is to analyze the feasibility and rationality of "considering fashion as a form or means of artistic creation", and to delve into its existential value.
Advertising Strategy in the Promotion of Table Tennis Club among Students
Authors: Hu Jianhui
Published: February 2025

Table tennis, as a national sport in China, has a profound historical and cultural heritage and a broad mass base. In recent years, with the promotion of the national fitness program and the improvement of the attention to the physical health of teenagers, table tennis has gradually become an important part of physical education in schools. At present, the promotion of clubs in schools in China has not been long, and the investigation and research on the promotion of clubs in primary schools are limited. This paper uses questionnaire survey, literature and other investigation and research methods to sort out the investigation and research. In this study, questionnaire software is used to collect data, the questionnaire is published online, and 30 students from Wenlu Primary School and Kaixuan Primary School are organized to fill out the questionnaire online. After collecting data, some problems in the promotion of Shangqiu Table Tennis Club in primary schools are found and analyzed. To find solutions and put forward suggestions and suggestions for Shangqiu Table Tennis Club to accelerate the promotion process of Shangqiu Table Tennis Club. So that Shangqiu table tennis Club can better enter the school to promote, and then enhance the health of students.
Pet Industry Development Forecast Based on Gray GM (1, 1) Modeling
Authors: Zhang Botao , Wang Tiande , Wang Zongyu
Published: February 2025

This study aims to forecast the development of China's pet industry based on a gray GM (1,1) model, focusing on the current state of the industry in the last five years and the global demand for pet food in the next three years. Through hierarchical analysis, this paper builds multiple models to capture market dynamics at different levels to enhance forecasting accuracy. The study shows that the popularity of pet cats continues to rise, while the pet dog market is becoming saturated, reflecting changes in consumer preferences. In forecasting the global demand for pet food, this study compares the annual growth rate and the average annual growth rate, utilizing the performance of the GM (1,1) model versus the NGM (1,1, k, c) model, and ultimately selects the model with better forecasting capabilities. The analysis shows that the global demand for pet food will continue to grow over the next three years, highlighting the potential and challenges of the pet food market. This study provides a scientific basis for strategy development in the pet industry through a gray forecasting methodology to cope with data uncertainty and changing market dynamics.
Application and Challenge Analysis of Large Language Models in Government Document Management
Authors: Yang Huihui , Haslinda Sutan Ahmad Nawi  , Chen Hui
Published: February 2025

As the global process of information technology advances, the role of document management in government operations becomes increasingly crucial. Governments generate vast amounts of documents, which pose significant challenges to traditional document management systems due to their growing volume and complexity. To address these challenges, the development of Artificial Intelligence (AI) technologies, especially Large Language Models (LLMs), has introduced new possibilities for improving the efficiency of government document management. LLMs models trained on large datasets are capable of understanding and generating text with a high degree of semantic understanding, making them valuable for automated document management, text categorization, information extraction, and natural language querying. This paper discuss the ways of traditional government document management and their limitations, focusing on the application of LLMs to government document management, emphasizing their potential to increase automation of document management, reduce human error, and improve the accuracy and efficiency of data processing. Also discussed the limitations of LLMs in government document management, such as bias in training data, potential errors in generated information, and challenges related to data privacy and legal compliance. LLMs offer powerful auxiliary functions in government document management, further research is needed to address these limitations and ensure responsible and effective use of this technology.
The Exploration Path of the Insurance Model for "Specialized, Refined, Peculiar, and Innovative" Enterprises
Authors: He Chen , Jin Yanshan
Published: February 2025

Under the guidance of the strategy of strengthening the country through science and technology, the country has increased its support for "specialized, refined, peculiar, and innovative" enterprises and promoted them to become an important force in enhancing the country's innovation capabilities. The insurance industry has responded to the national strategy and explored suitable insurance innovation models around the risk protection needs of "specialized, refined, peculiar, and innovative" enterprises. The "traditional insurance + policy insurance + innovative insurance" model has initially taken shape and played a certain role in risk protection. However, has this model fully exerted its expected effects in actual operation? What challenges and obstacles does it face? How should it be optimized and improved in the future? This article focuses on the exploration process of this insurance model, reviews the background and practical process of development policies, and analyzes the key links in actual operation to provide reference for its continuous optimization and innovative development.
Research on Evaluation System and Policy Design of Hub City Ecological Niche Competitiveness Based on Logistics Network Integration
Authors: Lv Aohua
Published: February 2025

Hub cities are central cities that use transportation, logistics, information and other hub platforms as carriers to strengthen the aggregation, radiation, and diffusion functions of economic activities and information flow. From the perspective of niche theory, a theoretical framework for evaluating the competitiveness of logistics networks in hub cities is constructed. Based on national logistics hub city data, economic resources, logistics resources, innovation resources, and information resource ecological factors are selected, and an evaluation system is established through models such as niche width, niche overlap, niche suitability, and comprehensive niche value, Conduct multidimensional research on the ecological niche competitiveness of national comprehensive transportation hub cities. The results showed that: (1) From the perspective of comprehensive ecological niche evaluation values, Beijing, Shanghai, Guangzhou, Chongqing and Shenzhen have higher ecological niche values, indicating that these cities have relatively strong logistics competitiveness. (2) The ecological niche width of hub cities is showing an increasing trend, covering increasingly extensive resources, and the competitiveness of regional core cities is gradually increasing. (3) There is excessive competition among cities with the same level of ecological niche width, and homogenization competition increases under the same limited resource conditions, and there is no high degree of overlap in urban relationships among mega first tier cities. (4) From the perspective of niche suitability, there are 71 hub cities higher than the average, indicating that the logistics resource environment of most hub cities has a very high demand for the establishment of hub cities, especially in the northeast, northwest, north China, central Yangtze River region, and coastal areas of Guangxi. The average ecological niche suitability is ranked from high to low as Northwest, Northeast, Central China, South China, Southwest, North China, and East China. Based on the actual problems of logistics networks in our country, we propose characteristic expansion strategies, dislocation competition strategies, and collaborative cooperation strategies from three aspects: expansion, separation, and optimization of ecological niches.
The Impact of Foreign Direct Investment on Green Innovation: Taking Urbanization Level as The Threshold
Authors: Li Lu , Liu Na
Published: February 2025

At present, China's manufacturing industry is in a critical period of industrial upgrading, but it also needs to maintain a good ecological environment during industrial upgrading. In the context of China's proposal to achieve "carbon peak" in 2030 and "carbon neutrality" in 2060, it is necessary to study whether the knowledge spillover of foreign direct investment can have a positive impact on China's green innovation level, so as to make more efficient policy countermeasures for high-quality development. This paper uses China's provincial panel data from 2007 to 2021 and uses a double fixed effect model to explore the impact of foreign direct investment on China's green innovation. The results verify that foreign direct investment has a negative impact on China's green innovation. Further, taking the urbanization level as the threshold variable, it is concluded that there is a nonlinear relationship between foreign direct investment and the level of green innovation, and at a certain critical point, FDI can have the smallest negative impact on green innovation. The inspiration from the experimental results is to be vigilant about the low-end technology transfer of foreign-funded enterprises and their technological dependence. Developing countries, as host countries, need to establish a more comprehensive innovation incentive system and improve sustainable industrial chain clusters. At the same time, they should adhere to sustainable development, continue to pay attention to environmental protection, and set up environmental regulations for foreign investment entry.
Research on the Impact of Issuing Green Bonds on the Corporate Value of Listed Companies in China
Authors: Chen Yujia
Published: February 2025

To study the impact of green bond issuance on the value of issuing entities, this paper uses panel data of green bond issuance by Chinese A-share listed companies from 2015 to 2023, and employs a multi period difference in differences (DID) model to empirically analyze the value changes before and after the issuance of green bonds by enterprises. The research results indicate that firstly, issuing green bonds can significantly improve the TobinQ value of enterprises, that is, green bonds have a positive impact on enterprise value. Secondly, the reduction of debt financing costs has played a partial intermediary role between green bonds and corporate value. Thirdly, in heterogeneity analysis, enterprises in the eastern region and polluting industries are more significantly affected by green bonds.
The reasons for the demise of Liberty Europe
Authors: Liu Bowen
Published: February 2025

The article explores the reasons behind the collapse of liberal Europe in the 20th century, arguing that it was a necessary consequence of the core conflict between imperialism and social democracy. Imperialism undermined the foundations of social democracy by prioritizing expansion and war, leading to economic competition and irreconcilable conflicts among European nations. This competition eroded social democratic institutions, intensified the conflict between socialism and capitalism, and ultimately led to the demise of European democracy. The rise of fascism became an inevitable outcome as it offered a third option in the conflict between imperialism and socialism, appealing to those disillusioned with democracy and freedom. The article concludes that the demise of liberal Europe was due to the conflict between imperialism and socialism, which shattered the traditional democratic framework and led to the rise of fascism.
Research on Automobile Aftermarket Parts Pricing Model Based on Support Vector Machine
Authors: Yang Tengjian , Zhang Chao , Zhu Peipei , Zhang Fan
Published: February 2025

In this study, a pricing model based on support vector machine is proposed to solve the problem of auto aftermarket parts pricing. By collecting and analyzing multi-source heterogeneous data, a "1+4+8" pricing index system was constructed, which includes parts cost, market demand and supply, brand and quality, material and performance. Support vector machine (SVM) is used to establish the pricing model of automobile aftermarket parts. The experimental results show that the pricing model based on support vector machine can effectively improve the pricing accuracy and provide data support for enterprises to formulate reasonable pricing strategies. This study provides a new idea and method for the pricing of automotive aftermarket parts, which is of great significance to enhance the competitiveness of enterprises.
Key Risk Factors Influencing Foreign Direct Investment (FDI) in Zimbabwe’s Agricultural Sector
Authors: Manyika Tinotenda
Published: February 2025

This study explores the key risk factors influencing foreign direct investment (FDI) in Zimbabwe’s agricultural sector. As a fundamental component of Zimbabwe’s economy, agriculture encounters numerous challenges that restrict FDI inflows. The research examines ten critical factors: crop production, climate change, consumer prices, government efficiency, exchange rate fluctuations, fertilizer supply by type and nutrient content, land utilization, GDP deflators, and pesticide use. These elements are analyzed within broader themes, including land ownership and tenure security, political stability, economic volatility and currency issues, infrastructure limitations, legal and regulatory conditions, social and cultural dynamics, and environmental factors. By assessing how these risks either deter or attract FDI, the study offers valuable insights for policymakers, investors, and stakeholders to mitigate challenges and foster a conducive environment for sustainable investment in Zimbabwe’s agriculture.
Safeguarding and Governing Intellectual Property Rights in the Context of Multinational Enterprises
Authors: Yang Chunyu
Published: February 2025

In today’s rapidly evolving global economy, the protection and enforcement of Intellectual Property Rights (IPR) have become critical components for the success of businesses, particularly for Multinational Enterprises (MNEs). IPR encompasses a range of legal protections designed to safeguard innovations, brands, and creative works, thereby fostering an environment conducive to creativity and economic growth. As MNEs operate across diverse jurisdictions, the importance of understanding and navigating the complex landscape of IPR cannot be overstated. This essay aims to explore the intricate relationship between IPR and MNEs, highlighting the challenges these enterprises face in protecting their intellectual assets in a cross-border context. By examining the legal frameworks, regulatory mechanisms, and effective strategies for IPR protection, this analysis will provide valuable insights into how MNEs can navigate the multifaceted issues surrounding intellectual property. Ultimately, this essay posits that a robust understanding and implementation of IPR not only enhances the competitive edge of MNEs but also contributes to global innovation and economic development.
Exploration of the Enforcement Dilemmas of China's Antitrust Law
Authors: Wang Lexu
Published: February 2025

Since its implementation in 2008, China's Antitrust Law has provided legal protection for market competition, but it faces numerous dilemmas in practice. With the rise of emerging industries such as the internet platform economy, big data, and artificial intelligence, the traditional antitrust law framework has increasingly revealed its inadequacies, particularly in regulating new types of monopolistic behaviors, such as data monopolies and platform monopolies. This article reviews the development of China's Antitrust Law and analyzes the enforcement dilemmas it faces, including structural flaws in the administrative system, political priorities, and delays in legal enforcement. Furthermore, the article proposes reform directions to address these dilemmas, including improving the legal framework, enhancing enforcement efficiency, strengthening interdepartmental collaboration, and increasing public participation. The goal is to improve the effectiveness of antitrust law enforcement and promote the healthy development of China's market.
Channels of Base Money Issuance and Policy Responses in Monetary Supply
Authors: Luo Linli
Published: February 2025

Since the People's Bank of China became the monetary authority and implemented the functions of the central bank in 1996, the regulation of the money supply is almost regulated by the channel of the base money supply. Therefore, the discussion on the historical changes of the channel of the base money supply in China and their impact is helpful to study how to adjust the money supply in the future, and then bring good guidance to the proposal of monetary policy. By analyzing the four channels of base money supply one by one, and based on the data from the People's Bank of China and the National Bureau of Statistics, this paper finds out the overall trend change and the impact of the analysis on the overall money supply, and finally puts forward constructive suggestions from the perspective of relatively deficiencies.
Three Separations in Cultural Post-modernism: A Brief Analysis of Don DeLillo’s White Noise
Authors: Shi Xinyan
Published: February 2025

This study examines Don DeLillo’s White Noise through three critical ruptures in contemporary existence, respectively the de-sanctification of body from mind, the alienation between human consciousness and science, and the divergence of scientific truth from science itself. While previous scholarship has focused on postmodern popular culture and its intersection with everyday life through mediascape and technology, the individual transformations beneath these cultural manifestations remain unexplored. This analysis reveals how these separations illuminate the imperceptible yet profound changes in human existence, offering a way to recognize technological mediation without falling prey to its illusions.
Analysis of the Joint Distribution Model Based on the Spare Capacity of Urban Rail Transit in Wenzhou
Authors: Zhao Shuang , Li Youyuan
Published: February 2025

This paper focuses on Wenzhou and deeply studies the joint distribution model based on the spare capacity of urban rail transit. Against the backdrop of national policy guidance and the development of Wenzhou's e - commerce and express delivery industries, it analyzes the feasibility of Wenzhou's rail transit in carrying out logistics distribution in terms of infrastructure, transportation capacity, cost - effectiveness, environmental protection, and market demand. By analyzing the spatio - temporal distribution characteristics of passenger flow at urban rail transit stations, it elaborates on the practical exploration of joint distribution in Wenzhou based on the spare capacity of urban rail transit, including the "rail + logistics" cooperation model, the construction of surrounding logistics distribution stations, and the construction of an intelligent logistics distribution information platform. It explores future development directions, such as multi - party collaborative mail sorting and rail transit transportation, and joint fresh - food distribution between urban rail and e - commerce express delivery, and proposes countermeasures for potential risks in each direction. The research shows that this model has broad prospects, which is expected to ease traffic congestion, reduce logistics costs, and improve distribution efficiency. Although it faces challenges, with multi - party cooperation, it will inject vitality into the high - quality development of Wenzhou.
Comparative Study and Reform of Aesthetic Education General Education Curriculum Design
Authors: WANG FANG
Published: February 2025

Aesthetic education, as an important component of education, plays a vital role in cultivating students' aesthetic awareness, aesthetic abilities, and humanistic qualities. With the acceleration of globalization and modernization, the demand for well-rounded, high-quality talent has increased, and the significance of aesthetic education in higher education has become more prominent. Currently, although general education plays a crucial role in higher education reform, many universities in China still face limitations in the design, content, and teaching methods of aesthetic education courses, necessitating systematic reform and innovation. This research aims to explore how to design aesthetic education courses within the framework of general education and to propose reform paths and strategies that meet the requirements of the new era. The research objectives include analyzing the current state of aesthetic education courses in universities both domestically and internationally, constructing a curriculum framework that meets practical needs, and suggesting innovative reform paths for aesthetic education courses. By employing methods such as literature analysis, case studies, comparative studies, and empirical research, this study aims to provide theoretical support and practical solutions for the reform of aesthetic education in higher education. The results of this study contribute to the enhancement and development of aesthetic education in general education systems and offer valuable insights for aesthetic education course design both domestically and internationally.
Ricadute pratiche della sentenza n. 135 del 2024 della Corte costituzionale che, pur non smentendo sé stessa, ha (di fatto) esteso il diritto di accesso alla morte medicalmente assistita
Authors: Cembrani Fabio
Published: February 2025

Practical implications of the Constitutional Court ruling no. 135/2024 which, while not contradicting itself, has (in fact) extended the right of access to medically assisted death
SUMMARY: Starting from the Constitutional Court ruling no. 134/2024, the Author addresses the practical implications in the care relationship. After highlighting that the Court has confirmed, in this new ruling, the area of non-punishability of assisted suicide defined by the previous constitutional jurisprudence, he goes into the merits of which are the life-sustaining treatments (TSV) for which there is no definition of either a normative or scientific nature. He then underlines how the Constitutional Court has extensively expanded the perimeter of TSV, thus widening the group of people who can legitimately access medically assisted death. Even if, in order to integrate the principles established by the Constitutional Court ruling no. 242/2019, a whole series of other conditions must be verified, among all the circumstance that their interruption or their non-starting determines the death of the patient in a short period of time. He concludes by observing that compliance with this new limit, due to its very generality, could be the source of different interpretations and unequal treatment, sharing the need for the entire matter to finally be regulated in an organic manner by the Italian Parliament as the Constitutional Court has repeatedly recommended.
SOMMARIO: 1. Introduzione - 2. Radicalizzare o elasticizzare il perimetro di tipizzazione dei trattamenti di sostegno vitale (TSV) - 3. Ma qual è (davvero) la ratio della giurisprudenza costituzionale in materia di fine vita? - 4. Conclusioni.
L’eredità del Giansenismo nella riflessione di Francesco Ruffini e Arturo Carlo Jemolo: alcuni primi spunti ricostruttivi
Authors: Varalda Cesare Edoardo
Published: February 2025

The legacy of Jansenism in the reflection of Francesco Ruffini and Arturo Carlo Jemolo: some first reconstructive ideas
ABSTRACT: This contribution intends to delve deeper into the choice that two famous Italian ecclesiasticists, Ruffini and Jemolo, made during the second decade of the twentieth century to study a topic that was not purely juridical, namely the Jansenist movement. After an overview of the writings of the two masters on the subject, in light of the historical and cultural context of the time, adequate space is dedicated to an investigation into the origins of these contributions and their related implications. Thus, on the one hand, we come to better understand the meaning of the choice made and, on the other, to reflect on the relevant methodological profiles that characterized the works examined, opening up interesting and paradigmatic prospects for the future.
SOMMARIO: 1. Premessa - 2. Il Giansenismo brevi cenni di inquadramento - 3. Il contesto: i prodromi del Diritto Ecclesiastico - 3.1. Alcune spigolature di Francesco Ruffini su Manzoni, Cavour e il giansenismo - 3.2. Il problema del giansenismo in Arturo Carlo Jemolo: spunti di riflessione - 4. Una “valutazione comparativa” - 5. Considerazioni conclusive.
Islamic Religious Counselor in Religious Social Guidance For The Elderly
Authors: Safitri Ivani Puji , Subhi Muh.Rifai , Rahman Siti Fatinnah Binti Ab. , Sholeh Muh Ibnu
Published: February 2025

This study aims to examine the role of Islamic religious counselors in the social and religious development of the elderly at Majelis An-Nisa, Ambokulon Village. Using a qualitative descriptive method, this field research collects data through interviews, observations, and analysis to draw conclusions related to the topic. Research results: The process of Islamic religious counseling in the social and religious development of the elderly at Majelis Ta’lim An-Nisa begins with a collective recitation of sholawat to calm the mind. This is followed by dhikr and tahlil led by Ustadz Yazid to purify the heart and strengthen faith. Ustadz Lubis delivers a deep mauidzotul hasanah. Every four months, a religious pilgrimage is held to the graves of saints, such as Sunan Ampel, which deepens spirituality and strengthens social interactions among elderly participants. Social and religious development encompasses the elderly’s role in maintaining spirituality, social interaction, relationship with Allah, a supportive environment, and the willingness to attend religious studies.
Arabic Language Learning Management by Native Speaker
Authors: Bani Moh. Yusuf , Sastradiharja EE Junaedi , Farizal Farizal , Toni Toni , Riezqulloh Anas
Published: February 2025

The aim of the research is to analyze and describe the Arabic language learning management by Native speaker teachers in improving the learning outcomes of students at Mahad Al Wafi Islamic Boarding School. The research method is qualitative through a case study. Data collection techniques include interviews, observations, and documentation. Data processing involves reduction, presentation, and drawing conclusions. The research findings: The planning of Arabic language learning involves steps to achieve objectives, including the selection of methods, media, and resources, with two models: collaborative and independent. The organization includes the selection of materials according to the curriculum, the appropriate teaching methods, and the utilization of relevant media. The implementation combines a holistic approach with the boarding school model, using Student-Centered and Teacher-Centered Learning methods, as well as practical activities to improve language skills and learning enthusiasm. Learning supervision is carried out by internal and external parties to ensure alignment with the plan and exam materials. Conclusion: Learning management is running well and is structured, ensuring each stage of learning is effective in achieving optimal educational goals.
The Formation of a Religious Society Through Dynastic Leadership
Authors: Idrus Moh. Syafi'i , Wahid Abdul , Singh Irom Gambhir , Jannah S. Fathiyatul , Bashori Abdul Hamid
Published: February 2025

This study focuses on the formation of a religious community through dynastic leadership in Campor Timur Village, Ambunten Sumenep. The researcher employs a qualitative method with an ethnographic approach. The data collection techniques used include interviews, observations, and documentation. In data processing, the researcher performs condensation, data presentation, and drawing conclusions. The research findings show that the leadership strategy in forming a religious community involves several steps. First, religious outreach is carried out through sermons, writings, actions, media, and regular study sessions to raise religious awareness. Second, the leader collaborates with the devout community and the government to establish harmonious relations. Third, the leader provides facilities such as roads, meeting halls, and prayer rooms to support socio-religious activities and improve the quality of life for the community, particularly in terms of better access to religious education. In conclusion, effective leadership successfully creates a religious community by strengthening religious values, fostering cooperation, and providing facilities that support ongoing social and religious activities.
Enhancement of Underwater Images using Color Correction and Weight Maps
Authors:   Computer Science Department, Collage of Science, Mustansiriyah University, Baghdad, Iraq, Safa Safa ,   Computer Science Department, Collage of Science, Mustansiriyah University, Baghdad, Iraq, Sadiq Asmaa
Published: February 2025

Physical characteristics of underwater environments, such as absorption, scattering, and progressive color loss, are only a few of the many factors that cause underwater images to degrade. Additionally, the turbid water and marine plankton influence the degradation of these images. All of these play a major role in the difficulty of extracting features from underwater images. This study aims to develop a new system that combines color correction techniques and weight maps to address the challenges caused by underwater environments. First step: the color correction, which consists of both color compensation and white balance, are used to improve the colors of images. In the second step: a comprehensive enhancement solution has been adopted on the two images that resulted from the first step by performing two different ways, the first image is improved by an image sharpening algorithm, and the gamma correction is used to process the second one. Four weights maps are applied for feature extraction and finally multi-scale fusion process is used to find the final enhanced image. Three types of underwater scenes are used (Bluish, Greenish and Foggy) to assess the suggested work. In addition to evaluating the results visually, a number of statistical metrics (IE, PCQI, AG, UIQM and UCIQE) are used to evaluate the results and compare them with previous works. The results indicate a marked improvement in all types of image.
Enhancing educational environments with Social Media Feedback Evaluation Employing Hybrid Neutrosophic Decision Optimization (HNDO) and Neutrosophic Sentiment Fusion (NSF)
Authors:   University of Khorfakkan, UAE, Fouda Walaa
Published: February 2025

This research work examines the critical challenge of enhancing educational environments through social media feedback, often impeded by the very uncertainties and complexities offered by textual data. Existing approaches either may indulge in sentiment analysis or may take the approach of basic data mining; nevertheless, they seldom consider ambiguity, contextual subtlety, and dynamic interventions. We propose an entirely new framework using Hybrid Neutrosophic Decision Optimization (HNDO) and Neutrosophic Sentiment Fusion (NSF) with deep learning-for advanced feature extraction-and reinforcement learning-for adaptive intervention strategies, with Explainable AI (XAI) for transparency. Presenting a new Neutrosophic Quantum Squirrel-Whale Decision Optimization (NQSWDO) framework to optimize educational enhancements based on feedback surveys and social media sentiment analysis, where it can collect, preprocess, extract features, fuse sentiments, optimize decisions, and detect concerns through reinforcement learning before interpreting feedbacks. A Neutrosophic Sentiment Fusion (NSF) model is applied to bring improvement into the accuracy of sentiment classification. Further refinement of educational improvements will come through the new application of hybrid neutrosophic decision optimization (HNDO), which incorporates multi-criteria decision analysis (MCDA) and fuzzy logic. For identification of key concerns, the VGG-Darknet detection model will be used, as well as a deep Q-network (DQN)-based reinforcement-learning system that dynamically intervenes in topic analysis. The last phase will comprehensively interpret feedback and adopt decision-making strategies to avoid wasting time in properly formulating useful educational policies. The results from the experiments indicate the practicality of the proposed framework for improving education decision-making through advanced methodologies on sentiment analysis, optimization, and reinforcement learning.
Kerugian Ekonomi Nasional Akibat Pandemi Covid-19
Authors: Hadiwardoyo Wibowo
Published: February 2025

Pembatasan aktivitas akibat pandemi Covid-19 telah menimbulkan kerugian ekonomi secara nasional. Kerugian itu hanya akan tertutupi apabila krisis dapat diakhiri sebelum menimbulkan kebangkrutan usaha secara massal. Tulisan ini dibuat sebelum PSBB (Pembatasan Sosial Berskala Besar)  berakhir sehingga analisis ini masih didasarkan pada perhitungan apabila PSBB berjalan selama 1 bulan di area Jabodetabek. Sedangkan apabila PSBB diperlama dan atau diperluas ke kota-kota lain, maka otomatis dampak kerugian membesar, dan dapat diproyeksikan berdasar perbandingan waktu dan luasan area. Untuk memudahkan, pembahasan kerugian dibagi dalam kelompok kerugian nasional, sektoral, corporate, maupun individu.
Public Perception of Large Scale Social Restrictions
Authors: Novaldi Mohamad Audy , Hidayat Dasrun
Published: February 2025

This study focuses on the public perception of Soreang District, Bandung Regency regarding Large-Scale Social Restrictions. This problem is examined because in its implementation the Large Scale Social Restrictions creates many different perceptions that are felt by each individual, thus affecting the effectiveness of the implementation of the policy. The purpose of this study is to determine the extent of public knowledge and attitudes about Large Scale Social Restrictions and to find out whether the community has complied with the policy. To answer these objectives, researchers used descriptive research methods with a qualitative approach. The technique of collecting data through interviews, observation and document review. The interview involved most of the people of Soreang District, Bandung Regency. Meanwhile, document review is taken from news in various mass media as well as theory from relevant references. Data analysis techniques use reduction analysis, display, and data conclusion. The results of this study indicate that the people of Soreang District, Bandung Regency already understand and comply with the Large Scale Social Restrictions policy. This is supported by the results of interviews the researchers conducted with several informants, on average, with knowledge of the Large Scale Social Restrictions policy. This level of understanding is manifested through daily behavior by following the provisions of the Large Scale Social Restrictions and implementing health protocols.
Efektifitas Model Pembelajaran Teams Games Tournament (TGT) Terhadap Hasil Belajar Peserta Didik Pada Pelajaran IPAS Kelas IV SD Negeri 2 Lamangga
Authors: B Fitriani , Awaluddin Muhammad , Samritin Samritin
Published: February 2025

Tujuan dari penelitian ini adalah untuk menentukan seberapa efektif model pembelajaran permainan tim  terhadap hasil belajar siswa pada pelajaran IPAS di SD Negeri 2 Lamangga. Penelitian ini adalah jenis kuantitatif dengan desain quasi-eksperimen. Artinya adalah desain di mana dua kelompok dipilih secara random, kemudian dilakukan tes uji coba untuk mengetahui apakah kelompok eksperimen dan kelompok kontrol berbeda dalam keadaan awal. Jumlah poulasi di kelas IV A dan IV B adalah 57, dan dua kelas digunakan sebagai sampel. 28 siswa di kelas IV A digunakan sebagai kelas kontrol, dan 29 siswa di kelas IV B digunakan sebagai kelas eksperimen. Hasil perhitungan menunjukkan bahwa penggunaan Model Pembelajaran Turnamen Tim (TGT) memiliki dampak yang signifikan terhadap hasil belajar IPAS.
Asbabun Nuzul dan Urgensinya dalam Kajian Ulumul Qur’an
Authors: Nasution Abdurrahman , Ahmad Adzin Aziz , Ahmad Kafi Kadhafi , Zulhijjan M. Aziz , Sinaga Rizky Febriansyah
Published: February 2025

Asbabun Nuzul (sebab-sebab turunnya ayat) adalah konsep penting dalam Ulumul Qur'an yang memberikan latar belakang historis dan kontekstual untuk memahami ayat-ayat Al-Qur'an. Penelitian ini membahas urgensi dan signifikansi Asbabun Nuzul dalam menafsirkan Al-Qur'an secara akurat serta implikasinya dalam konteks kontemporer. Dengan menganalisis definisi, manfaat, dan penerapan Asbabun Nuzul, penelitian ini menyoroti perannya dalam mencegah kesalahpahaman dan mengungkap hikmah di balik pewahyuan ayat tertentu. Para ulama berpendapat bahwa Asbabun Nuzul meningkatkan pemahaman dengan mengaitkan makna tekstual dengan konteks historis, sehingga memungkinkan penafsiran yang adil dan relevan untuk tantangan modern, seperti keadilan sosial, kesetaraan gender, dan dialog antaragama. Selain itu, Asbabun Nuzul mendorong inklusivitas, memperkuat pendidikan Islam, dan menyediakan narasi tandingan terhadap ideologi ekstremis. Penelitian ini menyimpulkan bahwa Asbabun Nuzul tidak hanya penting dalam hermeneutika Al-Qur'an, tetapi juga berperan sentral dalam memastikan ajaran Al-Qur'an tetap relevan, kontekstual, dan aplikatif dalam menghadapi kompleksitas kehidupan modern.