bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing entropy changes in urban sewer systems during pollutant degradation
Authors: Gu Yonggang , Shi Xuan , Jin Pengkang , Wang Xiaochang C. 
Published: February 2025

ABSTRACT
Human activities are intricately linked to entropy changes, inevitably impacting the ecological environment. The initial transportation of urban pipe network systems plays a critical role in this process. These systems involve processes such as fermentation, hydrogen production, acetic acid production, and methane production, generating gases, such as methane and carbon dioxide. Despite their importance, the mechanisms underlying entropy changes during organic matter degradation remain underexplored. This study establishes a 1,200-m-long urban sewer pilot system to analyze pollutant degradation through reaction equations. A novel method, based on standard molar reaction enthalpy changes, is developed to calculate entropy changes, revealing distinct stages of entropy increase. Results indicate that environmental entropy rises primarily during sugar degradation and acetic acid production, while entropy decreases during glucose degradation and methanogenesis. During sewage transport, the heat released from pollutant degradation exceeds that associated with greenhouse gas emissions, leading to a general increase in entropy in the external environment. The findings of this study could help to predict the actual influent quality of wastewater treatment plants and facilitate the optimization of wastewater treatment.
Ensemble-based Heart Disease Diagnosis (EHDD) Using Feature Selection and PCA Extraction Methods
Authors: Vinodhini V. , Sathiyabhama B. , Vidhushavarshini S. , Ravi Vinayakumar , Shashidhar R. 
Published: February 2025

Introduction
Heart disease is a growing health crisis in India, with mortality rates on the rise alongside the population. Numerous studies have been undertaken to understand, predict, and prevent this critical illness. The dimensionality of the dataset, on the other hand, reduces the prediction's accuracy.

Methods
We propose an Ensemble-based Heart Disease Diagnosis (EHDD) model in which the dimension is lowered through filter-based feature selection. The experimental is conducted using the UCI Cleveland dataset with cardiac disease. The precision is achieved through three key steps. The scatter matrix is utilized to divide the distinct class points in the first phase, and the highest eigenvalue and eigenvectors are picked for the new decreased dimension of the dataset. The feature extraction is carried out in the second stage utilizing a statistical approach based on mean, covariance, and standard deviation.

Results
The classification component uses the training and test datasets with a smaller sample space. The last stage is to divide the samples into two groups: healthy subjects and diseased subjects. Since a basic binary classifier will not yield the best results, an ensemble strategy using SVM.

Conclusion
Random Forest is chosen to create accurate predictions. When compared to existing models, the suggested EHDD model outperforms them by 98%.
Traversing Shifting Sands—the Challenges of Caring for Someone With Alzheimer's Disease and the Impact on Care Partners: Social Media Content Analysis
Authors: Frederiksen Kristian Steen , Hahn-Pedersen Julie , Crawford Rebecca , Morrison Ross , Jeppesen Rose , Doward Lynda , Weidner Wendy 
Published: February 2025

Background
Social media data provide a valuable opportunity to explore the effects that Alzheimer disease (AD) has on care partners, including the aspects of providing care that have the greatest impacts on their lives and well-being and their priorities for their loved ones’ treatment.

Objective
The objective of this social media review was to gain insight into the impact of caring for someone with AD, focusing particularly on impacts on psychological and emotional well-being, social functioning, daily life and ability to work, health-related quality of life, social functioning, and relationships.

Methods
We reviewed social media posts from 4 sources—YouTube (Google), Alzheimer’s Association, Alzheimer Society of Canada, and Dementia UK—to gain insights into the impact of AD on care partners. English-language posts uploaded between May 2011 and May 2021 that discussed the impact of AD on care partners were included and analyzed thematically.

Results
Of the 279 posts identified, 55 posts, shared by 70 contributors (4 people living with AD and 66 care partners or family members), met the review criteria. The top 3 reported or observed impacts of AD discussed by contributors were psychological and emotional well-being (53/70, 76%), social life and relationships (37/70, 53%), and care partner overall health-related quality of life (27/70, 39%). An important theme that emerged was the emotional distress and sadness (24/70, 34%) associated with the care partners’ experience of “living bereavement” or “anticipatory grief.” Contributors also reported impacts on care partners’ daily life (9/70, 13%) and work and employment (8/70, 11%). Care partners’ emotional distress was also exacerbated by loved ones’ AD-related symptoms (eg, altered behavior and memory loss). Caregiving had long-term consequences for care partners, including diminished personal well-being, family and personal sacrifices, loss of employment, and unanticipated financial burdens.

Conclusions
Insights from social media emphasized the psychological, emotional, professional, and financial impacts on individuals providing informal care for a person with AD and the need for improved care partner support. A comprehensive understanding of care partners’ experiences is needed to capture the true impact of AD.
Exploring the Effect of an 8-Week AI-Composed Exercise Program on Pain Intensity and Well-Being in Patients With Spinal Pain: Retrospective Cohort Analysis
Authors: Griefahn Annika , Avermann Florian , Zalpour Christoff , Marshall Robert Percy , Cordon Morillas Inés , Luedtke Kerstin 
Published: February 2025

Abstract

Background
Spinal pain, one of the most common musculoskeletal disorders (MSDs), significantly impacts the quality of life due to chronic pain and disability. Physical activity has shown promise in managing spinal pain, although optimizing adherence to exercise remains a challenge. The digital development of artificial intelligence (AI)-driven applications offers a possibility for guiding and supporting patients with MSDs in their daily lives.

Objective
The trial aimed to investigate the effect of an 8-week AI-composed exercise program on pain intensity and well-being in patients with spinal pain. It also examined the relationship between exercise frequency, pain intensity, and well-being. In addition, app usage frequency was examined as a proxy for app engagement.

Methods
Data from users who met the inclusion criteria were collected retrospectively from the medicalmotion app between January 1, 2020, and June 30, 2023. The intervention involved the use of the medicalmotion app, which provides 3‐5 personalized exercises for each session based on individual user data. The primary outcomes assessed pain intensity and well-being using the numeric rating scale (NRS) and the Likert scale. Data were collected at baseline (t0), 4 weeks (t1), and 8 weeks (t2). The correlation between exercise frequency, pain intensity, and well-being was analyzed as a secondary outcome. In addition, average session length and frequency were measured to determine app engagement. Statistical analysis included ANOVA and Spearman correlation analysis.

Results
The study included 379 participants with a mean age of 50.96 (SD 12.22) years. At t2, there was a significant reduction of 1.78 points on the NRS (P<.001). The score on the Likert scale for well-being improved by 3.11 points after 8 weeks. Pain intensity showed a negative correlation with the number of daily exercises performed at t1 and t2. Well-being had a small negative correlation with the average number of exercises performed per day. The average number of exercises performed per day was 3.58. The average session length was approximately 10 minutes, and the average interaction with the app was 49.2% (n=27.6 days) of the 56 available days.

Conclusions
Overall, the study demonstrates that an app-based intervention program can substantially reduce pain intensity and increase well-being in patients with spinal pain. This retrospective study showed that an app that digitizes multidisciplinary rehabilitation for the self-management of spinal pain significantly reduced user-reported pain intensity in a preselected population of app users.
The Application of Artificial Intelligence Technology in Intellectual Property Protection and Its Impact on the Cultural Industry
Authors: Dong Yifei , Yin Jianhua 
Published: February 2025

Abstract
Patent data possesses characteristics such as a large amount of relevant data, a large volume of data, and an application and management process that is difficult to control. The protection of patent intellectual property rights will be impacted by these features. In order to solve the above problems, this paper, in the context of artificial intelligence technology, takes the clothing appearance patent intellectual property as the research object, adopts the normalization method to mine the data and extract features, and uses the View-GCN graph convolution module to learn the features of the view, and after that builds a DP-MVGCN model based on the graph convolution neural network for the classification of the appearance of patent intellectual property. Finally, this model is applied to build an effective method of intellectual property protection and discuss the impact of intellectual property protection on the cultural industry. The results show that the feature extraction rate of the DP-MVGCN model is >95% when the number of training times reaches 70. At k=3.0, DP-MVGCN has the highest score result on the test set of 4 evaluation indexes, and the model has good classification accuracy. Starting from 2020, the measured values of the three indices of judicial protection, administrative protection, and social protection have increased sharply over time. By 2023 the protection indexes of the three pathways have increased by 1.27 times, 1.29 times and 1.26 times respectively compared to 2020. It is clear that a reasonable classification of patents can significantly improve the protection of patented knowledge, and the protection of intellectual property rights can also enhance the degree of cultural industry agglomeration and promote the self-production of subcultural clusters.
Study on the Development Path of Cultural Tourism Resources Integration in Hainan Province under the Support of Information Technology
Authors: Li Fangli 
Published: February 2025

Abstract
This paper analyzes the cultural tourism resources of Hainan Province from both qualitative and quantitative perspectives. There are two types of cultural tourism resources: landscape cultural tourism resources and social humanities tourism resources. Based on the input-output theory and input elements such as labor and capital in the production function, combined with the principles of scientific, systematic, and availability of index selection, an evaluation index system for the utilization efficiency of cultural tourism resources in Hainan Province is constructed. The entropy value method is used to determine the weights of Hainan Province’s cultural tourism resources, and the comprehensive scores of Hainan Province’s cultural tourism cities and counties are calculated and taken as the endowment value of tourism resources. With the advantage of the DEA method, the cultural tourism resources of Hainan Province are further measured using the DEA method with the Malmquist index model. The input indicators for Hainan Province’s cultural tourism resources are infrastructure input (23.54%), cultural resources (21.05%), labor input (19.88%), capital input (19.84%), and information technology support (15.69%). In terms of the overall mean value of the IT efficiency measurement for the tourism industry in Sanya, the IT efficiency of all cities and counties fluctuates between 0.85 and 1, with insignificant differences. During the measurement period, the maximum value appeared in 2017 and 2022, indicating that the information technology conditions and management level of Sanya’s tourism industry are in an optimal state in general during this period.
Study on the Dynamic Protection Strategy of Ancient Buildings in Historical and Cultural Neighbourhoods from the Perspective of Traditional Culture Based on Three-dimensional Modelling Technology
Authors: Jiao Ziyun , Zhang Junxue , Ou Lei 
Published: February 2025

Abstract
Ancient cities, as areas of urban origins, possess a deep historical heritage. However, due to the rapid urbanization process, the lack of systematic planning has caused a large number of historical and cultural heritages in ancient cities to be destroyed. In this paper, after collecting geo-architectural data of ancient buildings in historical and cultural neighborhoods using UAV inclined photogrammetry, the Wallis filter algorithm is used to pre-process the image data. In Context Capture software, the three-dimensional modeling of the ancient buildings in the historical and cultural district has been completed. Then, the evaluation indexes and methods for dynamic protection of ancient buildings in historical and cultural neighborhoods are proposed. The results show that the three-dimensional modeling technology can achieve a high degree of accuracy in terms of positional accuracy, plane, and elevation errors, meeting the accuracy indicators. After the implementation of the dynamic protection strategy of this paper, the evaluation scores of each secondary evaluation factor of the dynamic protection and reuse of ancient buildings in Yangqiao Historical and Cultural Quarter have increased to 3.19-4.98 points, all of which are at a high level. This paper is able to analyse the core content of ancient buildings to be protected through three-dimensional modelling, and take into account the protection and development of ancient buildings based on the dynamic protection strategy, which provides new theoretical ideas and practical references for the protection and continuation of the ancient buildings in the historical and cultural district.
Design and Performance Evaluation of Efficient Clustering Algorithms for Big Data Applications
Authors: Dai Ping , Wu Jinhua , He Hao 
Published: February 2025

Abstract
In recent years the rapid development of big data and cloud computing technology, Internet of Things (IoT) technology and artificial intelligence algorithms has provided data analysis and management support for the development of many fields. Therefore, the article designs efficient clustering algorithms for big data applications. The article first proposes a k-means clustering algorithm based on dimensionality reduction. The information entropy-based kernel principal component analysis is combined with the k-means clustering algorithm, and after removing the attributes with little information, the kernel principal component analysis is applied to analyze the information attributes so as to reduce the dimensionality of the data. The article continues by proposing a weighted k-means clustering algorithm based on optimizing the initial clustering center to overcome the degree of influence of different attributes of the sample data on the clustering results during the clustering calculation process. The article concludes with a series of performance evaluations of the clustering algorithm designed in this paper, as well as its application to specific empirical evidence. In the algorithm effect evaluation experiments, with the increasing size of the dataset, the processing efficiency of the proposed algorithm in this paper increases exponentially, and its superiority is more prominent compared to other algorithms.
Frontline Trenches or, Rather, Open Borders? The Multi-Territorial Licensing and Digital Export of Czech Music
Authors: Zahrádka Pavel , Sliwka Rostislav , Tomčík Michal , Hodonický Václav 
Published: February 2025

Abstract
The article explores the impact of the Directive on collective management and multi-territorial licensing 2014/26/EU on the music industry in the Czech Republic. The analysis focusses on the transaction costs associated with granting multi-territorial licence for online distribution of music content, the position of Czech collective rights management organisations vis-à-vis providers of online music services, and the availability of Czech repertoire in the catalogues of streaming services offered worldwide. For the purpose of contextual analysis of the functioning of the digital music market in the EU and its impact on the availability of Czech music content in the offerings of online music services abroad, we will also use a comparison with the results of our previous research on licensing in the audiovisual sector and its impact on the availability of Czech audiovisual content in the offerings of online audiovisual services. The aim of the comparison is to describe the differences and similarities between the licensing regimes of both markets for copyright-protected content and to identify the causes or reasons for the better or worse international availability of Czech music and audiovisual content in the offerings of digital services abroad.
Population aging as a factor limiting the revenue potential of local government units. A case study of gminas in Poland1
Authors: Szymkowiak Marcin , Wyszkowska Dorota 
Published: February 2025

Abstract
The purpose of the study is to determine the impact of demographic changes (depopulation, population aging) occurring in Polish local government units (LGUs), identified in this article with gminas (municipalities), on their revenue potential. The authors analyzed the sources of the own revenue of LGUs dependent on the analyzed demographic phenomena and their importance in the formation of revenue potential. In order to capture these dependencies, the authors used correspondence analysis, which is a multivariate statistical technique whose main aim is to reveal the relative relationships between two or more groups of variables, based on data given in a contingency table. The survey covered all LGUs in Poland, divided into basic LGUs and cities with county rights (acting as both units and counties) for the years 2011 and 2021. For the purpose of the analysis, data from the Local Data Bank of Statistics Poland were used. Among the most fiscally efficient sources of LGUs’ own revenue in Poland, it is the share of personal income tax (PIT) that most influences the formation of their revenue potential. The analysis shows that, depending on the number and age structure of the population, it is also the most dependent source of revenue for LGUs in Poland. While this dependence is in line with previous studies, the analysis also revealed a dependence of property tax revenue on the proportion of older people in the population. The progressive process of depopulation and population aging will therefore limit the revenue potential of these budget units. Moreover, the problem of limiting the analyzed potential will be significantly differentiated territorially, as the aging of the population is unevenly spread across the units.
The Urgency of Marriage Disability from the Perspective of Fiqh and Compilation of Islamic Law (Khi)
Authors: Evanurfitriani Evanurfitriani 
Published: February 2025

Marriage is an inner bond between a man and a woman as husband and wife with the aim of forming a happy and eternal family based on the One Godhead". Marriage will play a role after each mass of people is ready to play a positive role in realizing the purpose of marriage itself. The same thing is in line with Law No. 1 of 1974 concerning marriage article 1, which reads: However, the marriage has not fulfilled the formal law of marriage because it has not been recorded with the authorized registrar/does not have a marriage certificate book. Therefore, even though the marriage is materially valid, but formally the marriage is not yet valid, so that it is forever considered that there has never been an exception marriage if it can be proven by the Marriage Certificate issued by the Marriage Registrar. That by recording the marriage in the Office of Religious Affairs, the marriage has received legal certainty and protection, including against the consequences arising from the said marriage, a woman who marries a man and her marriage is not recorded in the marriage registrar, if the husband is negligent or neglects his obligations, if a wife demands from her husband to fulfill his obligations in court as stipulated in the article 34 paragraph (3) of Law No. 1 of 1974 concerning marriage or will sue her husband in court for having committed intercession as stipulated in article 9 of Law No. 23 of 2004 concerning the elimination of domestic violence (KDRT), then she will experience difficulties due to the absence of authentic evidence of the existence of a legal relationship in the form of marriage between the wife and her husband
Territorial Plates in the Light of Conflicts in Qulombola Communities on the North Coast of Sergipano
Authors: Almeida Gênisson Lima de , Costa Jailton de Jesus , Jesus Robson Andrade de , Oliveira Ingrid Carvalho Santos , Andrade Joyce Dalline Silva , Soares Joyce Helly da Anunciação , Oliveira Ticiano Rodrigo Almeida 
Published: February 2025

Objective: Analyze territorial conflicts through the framework of relationships between artisanal fishermen, shellfish gatherers, farmers, shrimp farmers and companies linked to tourism and oil exploration, in the municipality of Brejo Grande, state of Sergipe.

Method: This is a bibliographical survey, with an emphasis on articles published in periodicals over the last five years, in addition to a documentary survey with consultation in legal regulations. Conflicts were identified through semi-structured interviews with artisanal fisherwomen and shellfish gatherers, in addition to on-site visits.

Results and Discussion: The results demonstrated that relationships are maintained in the quilombola territory due to the internal dispute over natural resources between artisanal fishermen and shellfish gatherers. But, on the other hand, these social subjects are vulnerable to the negative effects of those who hold political and economic power regardless of whether they reside in the territory.

Research Implications: It is necessary to formulate and execute public policies aimed at conserving natural resources and enabling the equal right to enjoy natural resources.

Originality/Value: This study contributes to the literature by analyzing territorial conflicts between artisanal fishermen and women, shellfish gatherers, farmers, shrimp farmers and companies linked to tourism and oil exploration in the region of Brejo Grande, state of Sergipe.