bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Putusan Pengadilan Agama Jember Nomor Perkara: 465/Pdt.G/2021/PA.Jr
Authors: Yose Febrian Sianipar Daniel , Bafadhal Faizah 
Published: February 2024

The phenomenon that occurs in the Jember Religious Court is that there is a case of divorce due to a homosexual husband which causes continuous disputes and quarrels, namely case number: 465/Pdt.G/2021/PA.Jr at the Jember Religious Court. The purpose of this study is to determine and analyze the basis for the judge's consideration in decision number: 465/Pdt.G/2021/PA.Jr. The research in this writing is normative legal research. This research uses a statutory approach, conceptual approach, and case approach. Then analyzed using qualitative methods. The result of this research is the decision of the Jember Religious Court Case Number 465/Pdt.G/2021/PA.Jr with the legal basis of Article 19 letters (e) and (f) PP Number 9 of 1975 Jo. Article 116 letters (e) and (f). On the grounds of continuous disputes and quarrels, namely; Article 19 Letter (f) PP Number 9 of 1975 Jo. Article 116 Letter (f) of the Compilation of Islamic Law, the substance of the law has been proven. Then on the grounds of disability or illness on the part of the Defendant, namely; Article 19 Letter (e) PP Number 9 of 1975 Jo. Article 116 Letter (e) of the Compilation of Islamic Law is only based on the testimony of the plaintiff's witness without any other supporting evidence such as a psychiatric diagnosis letter or a mental hospital certificate. This reason can be used because in the trial the Defendant abandoned his right to reject the Plaintiff's argument so that it was decided by verstek.
Abstrak
Fenomena yang terjadi di Pengadilan Agama Jember terdapat perkara cerai gugat yang dikarenakan suami seorang homoseksual yang menyebabkan perselisihan dan pertengkaran secara terus menerus yaitu perkara nomor: 465/Pdt.G/2021/PA.Jr di Pengadilan Agama Jember. Tujuan penelitian ini Â untuk mengetahui dan menganalisis dasar pertimbangan hakim dalam putusan nomor: 465/Pdt.G/2021/PA. Penelitian dalam penulisan ini adalah penelitian hukum normatif. Penelitian ini menggunakan pendekatan perundang-undangan, pendekatan konseptual, dan pendekatan kasus. Kemudian dianalisis menggunakan metode kualitatif. Hasil dari peneltian ini adalah putusan Pengadilan Agama Jember Nomor Perkara 465/Pdt.G/2021/PA.Jr dengan landasan hukum Pasal 19 huruf (e) dan (f) PP Nomor 9 Tahun 1975 Jo. Pasal 116 huruf (e) dan (f). Pada alasan perselisihan dan pertengkaran secara terus-menerus yaitu; Pasal 19 Huruf (f) PP Nomor 9 Tahun 1975 Jo. Pasal 116 Huruf (f) Kompilasi Hukum Islam secara, substansi hukum telah terbukti. Kemudian pada alasan cacat badan atau penyakit pada diri Tergugat yaitu; Pasal 19 Huruf (e) PP Nomor 9 Tahun 1975 Jo. Pasal 116 Huruf (e) Kompilasi Hukum Islam hanya berdasarkan pada keterangan saksi penggugat tanpa adanya alat bukti pendukung lain seperti surat diagnosa psikiater ataupun surat keterangan rumah sakit jiwa. Alasan ini dapat digunakan dikarenakan dalam persidangan Tergugat menanggalkan haknya untuk menolak dalil Penggugat sehingga diputus secara verstek.
A Review of Literature On Service Quality, Safety Perception, and Customer Satisfaction in the Airline Industry
Authors:   1,2&3 Nigerian College of Aviation Technology, Zaria Kaduna State, Nigeria 4Ahmadu Bello University Zaria, Kaduna State, Nigeria, Uhuegho K.O. , Bakare K. A , Ajisola A. O , Akume A.A 
Published: February 2024

A Review of Literature On Service Quality, Safety Perception, and Customer Satisfaction in the Airline Industry 1Uhuegho, K.O. , 2Bakare K. A., 3Ajisola A. O. & 4 Akume A.A. 1,2&3 Nigerian College of Aviation Technology, Zaria Kaduna State, Nigeria 4Ahmadu Bello University Zaria, Kaduna State, Nigeria E-mails: 1kole_k45@yahoo.com, 2 bakarre@gmail.com 3olowoyeye.ajisola@gmail.com 4 akume@abu.edu.ng Corresponding Authors Phone No: 1+2348028800696 ABSTRACT	The continuous growth, profitability and scalability of any business is highly dependent on Service quality. It is therefore a prime issue among airlines globally and in Nigeria in particular. Consumer or customer’s perception of service quality in the airline industry rests on a number of factors. This article reviews literature on service quality in the airline industry and identified cogent parameters used to measure same. Passenger satisfaction, safety perception and theoretical antecedents and underpinnings associated with the subject matter were examined. We conclude by identifying gaps in service quality with a view to initate a research the seeks to fill the identified gaps. Keywords: Service Quality, Airline Industry, Customers, Satisfaction, Gaps, Passengers Uhuegho, K.O., Bakare K. A., Ajisola A. O. & Akume A.A. (2022): A Review of Literature On Service Quality, Safety Perception and Customer Satisfaction in the Airline Industry. Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology. Vol. 10 No. 1. Pp 73-92 DOI: dx.doi.org/10.22624/AIMS/DIGITAL/V10N1P8
Pencil beam scanning proton therapy for mediastinal lymphomas in deep inspiration breath-hold: a retrospective assessment of plan robustness
Authors: Hörberger Filip , Andersson Karin M. , Enmark Marika , Kristensen Ingrid , Flejmer Anna , Edvardsson Anneli 
Published: February 2024

Purpose/background: The aim of this study was to evaluate pencil beam scanning (PBS) proton therapy (PT) in deep inspiration breath-hold (DIBH) for mediastinal lymphoma patients, by retrospectively evaluating plan robustness to the clinical target volume (CTV) and organs at risk (OARs) on repeated CT images acquired throughout treatment.
Methods: Sixteen mediastinal lymphoma patients treated with PBS-PT in DIBH were included. Treatment plans (TPs) were robustly optimized on the CTV (7 mm/4.5%). Repeated verification CTs (vCT) were acquired during the treatment course, resulting in 52 images for the entire patient cohort. The CTV and OARs were transferred from the planning CT to the vCTs with deformable image registration and the TPs were recalculated on the vCTs. Target coverage and OAR doses at the vCTs were compared to the nominal plan. Deviation in lung volume was also calculated.
Results: The TPs demonstrated high robust target coverage throughout treatment with D98%,CTV deviations within 2% for 14 patients and above the desired requirement of 95% for 49/52 vCTs. However, two patients did not achieve a robust dose to CTV due to poor DIBH reproducibility, with D98%,CTV at 78 and 93% respectively, and replanning was performed for one patient. Adequate OAR sparing was achieved for all patients. Total lung volume variation was below 10% for 39/52 vCTs.
Conclusion: PBS PT in DIBH is generally a robust technique for treatment of mediastinal lymphomas. However, closely monitoring the DIBH-reproducibility during treatment is important to avoid underdosing CTV and achieve sufficient dose-sparing of the OARs.
To vanlige digitaliseringsfloker
Authors: Byremo Henrik , Fjellanger Benedicte 
Published: February 2024

Når verden endrer seg gir det offentlige virksomheter både muligheter og utfordringer, men også endrede rammebetingelser. For holde seg relevant må de organisere seg slik at de er i takt med brukernes endrede behov og forventninger. Teamorganisering er den mest dynamiske organisasjonsformen vi kjenner. Mange norske virksomheter velger nettopp å bevege seg mot en teambasert organisering for å holde seg relevant for målgruppene og levere verdi. Denne overgangen er et hamskifte, ikke to graders kursendring som preges ofte av noen digitaliseringsfloker. Artikkelen presenterer to typiske floker: målsetting og lederens rolle og ansvar.
Abstract in English
In an ever-evolving world, public organizations are confronted with continuous shifts in their operating environment. This presents a spectrum of opportunities and challenges. To maintain relevance in this dynamic landscape, it is imperative that these organizations continuously focus on organizational form to meet the evolving needs and expectations of their users. To our knowledge, team organization is the most dynamic organizational form.
Recently, aiming to stay relevant and capitalize on the benefits of digitalization has become a strategic choice for many organizations. This move towards team-based structure is not merely an adjustment but a fundamental transformation, essential for harnessing digitalization's full potential.
This transition often encounters two "digitalization tangles”: goal setting, and the roles and responsibilities of leaders. Goals must be tailored to the team organization and cannot follow the traditional matrix organization structure. When goals are set along the axes of expertise and delivery, they create competing objectives, which makes it difficult for teams and individuals to prioritize in their daily work.
Leadership in a team-based organization requires a paradigm shift. Leaders must pivot from traditional task-focused management to fostering value creation and team success. This necessitates a nuanced understanding and execution of leadership roles, balancing clear direction and goal setting with the autonomy of task execution. Some leaders struggle in this new context, veering towards either absenteeism or micromanagement, both of which hinder the efficacy of team organization.
Successful public organizations that leverage the advantages of digitalization through team organization overcome these challenges. They establish clear, non-conflicting goals, and leaders play an active role in facilitating team success, embracing the evolution of their roles with a learning mindset and commitment.
Our experience suggests that thriving in a team organization differs fundamentally from traditional matrix or domain-based forms of organizing. It requires a rethinking of fundamental business aspects, including goal setting and leadership roles.
A study on the analysis and understanding of art works based on graph neural networks
Authors: Li Hua 
Published: February 2024

Abstract
With the development of the Internet, many art works are uploaded for people to enjoy. To make it more convenient for viewers to understand and analyze the content of art works. In this paper, we use the GNN graph neural network analysis model to extract the art style, creation period, color expression and other features of the works through the work feature saliency attention module, and classify them using the similarity metric. At the same time, we put forward the GNNMMVisRe model to explore the works from the visual multimodality. The analysis results concluded that the Impressionist style of art works had its heyday in the 18th-19th centuries, when the number of works reached 11,674. The Baroque classicism style reached its heyday in the mid-18th century with 5,921 pieces. In terms of color use, low saturation and low luminance color palettes were selected, with average values of 81.3% and 83.4%, respectively. Using the GNN model to categorize, analyze and study the art works improves the understanding and appreciation of the works. It is also significant for the further development of art.
Improving the Effectiveness of Foreign Language Teaching in Colleges and Universities Based on Multiple Data Chains
Authors: Qin Ying , Song Yinqiu 
Published: February 2024

Abstract
To improve the effect of foreign language teaching in colleges and universities with high efficiency, this paper constructs a BP neural network optimized by multi-data chain by integrating multi-data chain and BP neural network, which effectively solves the shortcomings of BP neural network that is easy to fall into the local optimum. It optimizes the initial value and the threshold value of this neural network. On this basis, the multi-data chain optimized neural network is used to analyze the existing data related to English teaching in colleges and universities, to present the proportion of factors affecting foreign language teaching in colleges and universities in the form of data, and to summarize the reasons for acting the teaching effect and the problems existing in the current foreign language teaching classroom. Teachers and students make positive improvements to foreign language classroom teaching based on the data presented by the neural network to improve the effect of foreign language teaching in colleges and universities. Combined with the BP neural network optimized with multiple data chains, this paper conducted an experimental analysis of students’ concentration, satisfaction with the classroom, and performance. As can be seen from the results of data calculation, after the factors affecting the teaching effect were summarized and corrected, the concentration level of the two students in the experiment was significantly improved, and both remained above 50%. In addition, there was a massive difference in the grades of the same group of students before and after the improvement. The average grade of the control group was 76.47 and the middle grade of the experimental group was 87.6.
A Multimodal Semantic Analysis of the Integration of Contemporary Literary Appreciation into College Teaching and Learning
Authors: Liu Huiling 
Published: February 2024

Abstract
With the development of the times, the cultivation of literary appreciation ability in the education system of colleges and universities has been gradually emphasized. This paper constructs a multimodal semantic analysis model based on text feature extraction, image feature extraction and audio feature extraction, and after fusing multiple modalities, combines them with sentiment semantic Analysis, optimizes them through the self-attention mechanism module, and finally constructs a sentiment semantic analysis model based on multimodal feature fusion. Through the performance analysis of the multimodal feature emotion semantic model, the algorithm model accuracy of this paper is as high as 89%, and the recognition accuracy of emotion is stable at about 80~85%. The multimodal sentiment semantic model proposed in this paper has an accuracy rate higher than 80% on literature appreciation related datasets. In the empirical evidence of literature appreciation, the average recognition accuracy rate of emotions expressed in literature is 62.80%. The study provides an achievable path for the multimodal semantic Analysis of contemporary literature appreciation integrated into college teaching, which is of practical significance for developing literature appreciation teaching in colleges and universities.
The construction of physical training and nurturing system for aviation service talents under the background of deep learning
Authors: Wang Weina 
Published: February 2024

Abstract
In the current aviation industry’s demand for excellent service personnel surge, this paper emphasizes the importance of physical training for college aviation service personnel to improve the image of individuals and companies. To this end, this study is oriented to the employment needs of aviation enterprises, creates the “9C cooperation” physical training and nurturing model, and establishes a detailed set of physical training quality evaluation index system. Taking University S as a case study, the data were collected through questionnaires, and factor analysis was applied to comprehensively assess the quality of training and nurturing of aviation service talents. Combined with the IPA analysis model, this paper further explores the correlation between corporate satisfaction and importance and the physical training system. The study results showed that the total variance contribution of the four main factors to the quality of physical training and nurturing was as high as 91.33%, while the overall score of the quality of training and nurturing was 3.153. The importance and satisfaction of enterprises to the quality of form training are distributed in a high range, showing that the training system needs to be further improved. Therefore, colleges and universities need to refine the teaching objectives and contents to ensure that the quality of physical training for aviation service talents can meet the actual needs of aviation enterprises and promote the industry’s overall development.
Research Changes in Curriculum and Pedagogy Based on Big Data Perspectives
Authors: Yang Jingjing , Jin Wenchao 
Published: February 2024

Abstract
Analyzing the research changes in curriculum and pedagogy is significant in exploring its developmental vein and future direction in China, and helps establish a modern academic framework. In this paper, the KNN algorithm is used to meticulously process the data related to the reform of curriculum and pedagogy, and the factor analysis model is used to explore the influencing factors behind these data and the strength of their effects. The clustering and integration method is further used to categorize and integrate these factors to explore the development trend of curriculum and pedagogy deeply. By analyzing the changes in research hotspots, research directions, and author influence between 2010 and 2022, it was found that between 2010 and 2016, the proportion of curriculum and pedagogy-related research reached a maximum of 0.785, while the proportion of research in the category of innovative teaching and learning was 0.065. Teaching and learning has always been the dominant research direction, and its importance has always been maintained at more than 0.5 during the 12 years. In contrast, the research on curriculum reached an importance level of about 0.35 in 2013. In-depth study of classroom teaching is an indispensable and critical way to maintain the innovative development and lasting vitality of the discipline of curriculum and pedagogy.
Educational Sovereignty and Cultural Security in International Exchange of Higher Education in the Information Age
Authors: Shan Jingjing 
Published: February 2024

Abstract
With the development of the information age, international teaching cooperation and exchanges have become increasingly frequent, and educational sovereignty and cultural security in higher education international exchanges have gradually become the focus of attention. This paper constructs a multiple regression model of educational sovereignty related to international exchanges, and designs a cultural security risk assessment model in international exchanges by combining fault tree and Bayesian network to prevent cultural invasion. Empirical Analysis is carried out on this basis to explore the factors and preventive measures affecting educational sovereignty and cultural security in higher education international exchanges. In the regression results, the standard regression coefficient of national comprehensive strength is the highest at 0.272, in which the significance of intellectual property rights, educational legislation, educational administration, state authority and national total strength are all less than 0.001. The accuracy rate is more than 90% for identifying cultural security risks. In the research of this paper, the cultural security risk problems can be effectively identified, and the cultural security problems in the international exchange of university education can be improved with practical guarantee.
Research on Protection and Development Strategies of Traditional Architecture and Cultural Heritage in the Context of Big Data Era
Authors: Shi Jianlin , Shi Ronglian 
Published: February 2024

Abstract
This study first constructed an evaluation index system to protect traditional architecture and cultural heritage, and determined the weights of each index through the entropy weighting method. With the help of fuzzy comprehensive evaluation method, the architectural and cultural heritage protection level in County G was quantitatively evaluated. Further, the study analyzed the key factors affecting the protection of traditional architectural and cultural heritage from the perspectives of government regulation, the number of research institutes and organizations, and accessibility, and conducted a predictive analysis of the level of protection and the level of development with the help of scenario simulation method. The study results reveal that the overall architectural and cultural heritage scores in G urban areas are generally higher than 60, and the heritage conservation effectiveness scores of all eight regions exceed 8. In addition, government regulation, the number of research institutions and organizations, and accessibility contribute positively to heritage conservation and development under certain conditions. The findings of this study are of great significance in promoting the preservation, inheritance, and sustainable development of China’s valuable cultural heritage.
Deep learning combined with the teaching practice path of computer software application courses under the perspective of “five-education integration”
Authors: Zhang Qiuyue , Yu Qiyao 
Published: February 2024

Abstract
As a core course of educational technology, the teaching of application software in colleges and universities faces the problem of insufficient practical ability of learners. This paper constructs a suitable path of computer software application teaching with reinforcement learning by combining reinforcement learning algorithm with students’ cognitive diagnosis theory. Students’ practical level is diagnosed through students’ actual operation results combined with the factors of guessing and mistakes, and appropriate teaching practice paths are recommended based on students’ practical ability combined with Markov decision-making to model the environment of computer software application practice. The TOVE method was used to evaluate the computer application practice course, and the practice paths with individualization were reasoned based on the connection between students’ knowledge points. The results show that among the experimental results of different practice paths, the effectiveness of the deep learning practice path of S1 is the highest at 85%. Compared with the expert-recommended practice path, the deviation value of the path effectiveness of S5 is 1, which indicates that the deep learning practice path is similar to the expert path likewise with a certain degree of specialization. On the Analysis of classroom project practice, the deviation value of the control class is 0.5512, and the deviation value of the experimental class is 4.2662, which is significantly larger than that of the control class, indicating that there is a significant improvement in students’ practical ability under the deep learning teaching practice path.
Efficiency Improvement of Urban Spatial Economic Interaction and Regional Economic Development in the Context of Industrial Circulation
Authors: Hao Huanxia , Jiang Ziyi , He Chengbing 
Published: February 2024

Abstract
With the deepening of economic globalization, interregional connectivity is increasing, making regional economic linkages a hot topic in economics. This study draws on the principles of operations research to classify the urban spatial financial interaction structure into four primary forms: isolated scatter, line, circle, column and network. Through the social network analysis method, the economic structure of urban space is analyzed from the three dimensions of network density, network centrality and cohesive subgroups. At the same time, the distribution of the potential hierarchy of intercity economic links is explored in detail using the gravity model. The empirical Analysis of the 26 city clusters in the Yangtze River Delta reveals that the spatial correlation of the industrial circulation level among these cities is 0.331, and the mean value of the empirical distribution reaches 0.4338, which significantly indicates that the industrial circulation level is positively correlated with the regional economic development. This study provides a valuable reference for the formulation of regional development strategies and shows a unique innovation in enriching the content of economic linkage theory.