bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theorein and Praxis: Gender Political Troubles. An interview with Martha Nussbaum
Authors: Ibarra Soto Diana 
Published: March 2024

Nussbaum's Capabilities Approach is one of the most meaningful perspectives towards the conflicts that come from social and cultural assumptions regarding gender. Martha Nussbaum, a prominent philosopher at the University of Chicago, proposes that philosophy should be deeply attached to the average people and their real.life problems. Since her early works: The Fragility of Goodness and Therapy of Desire, her main concern has been to improve people's quality of life; from these works, any reader can have a better framework on what Nussbaum recognizes as the main aspects for human development and how they can be obtained.
A Commentary to the logical structure of Thomas Aquinas’s De Aeternitate Mundi contra Murmurantes
Authors: Cavallazzi Sánchez Alejandro 
Published: March 2024

Received: 11-11-11 / Accepted: 21-03-12The opuscule De aeternitate mundi contra murmurantes is Aquinas’s only work dedicated entirely to the problem of the eternity of the world. Written in 1270 the work contains its more complete thought on the subject. In this work Aquinas’s proposes that the world could be both created and eternal, even if the catholic doctrine proposes that the world was created in a single moment. Aquinas’s goal is to show that this is a possible rational alternative even if the doctrine says otherwise. On this matter, Aquinas’s position defends Aristotle’s physics. The argumentative subtleties of the work, based on its rough metaphysical language and lack of historic context, may alienate contemporary readers. This article is logic commentary of the text with the intention of organize and clarify Aquinas’s arguments.
THE DISCLOSURE PRACTICES ON MAQASID SHARIAH OBJECTIVES AMONG MALAYSIAN ISLAMIC BANKS USING FUZZY TOPSIS ASSESSMENT
Authors: Abdul Rahman Rashidah , Ag Kee Dg Ku Habibah , Bujang Imbarine , Jidwin Agnes Paulus 
Published: March 2024

Background and Purpose: Maqasid Shariah ratio is operationalized based on Maqasid Shariah objectives. Shariah fraternity, such as scholars, investors, and customers, is still assessing how the business, specifically the financial institutions, delivers Maqasid Shariah's objectives according to their business goals. Thus, this becomes a genuine concern for society, especially the users of the financial information and shariah financing or investing customers, depositors, or borrowers. Therefore, this study intends to examine the application level of Maqasid Shariah objectives by Islamic banks using their financial reporting data.

Methodology: The Maqasid Shariah ratio is measured based on the two objectives of Maqasid Shariah, namely Justice (Al-Adl) and Welfare (Al-Maslahah). The determinants of the Maqasid Shariah ratio as a performance score for the Shariah scale of Islamic banks are assessed using the sophisticated Fuzzy TOPSIS technique.

Findings: Surprisingly, Malaysian Islamic banks' achievement is based on the Shariah objectives, specifically on Justice (Al-Adl) at 84.51% and Welfare (Al-Maslahah) at 67.53%. However, the top score for Malaysian Islamic banks could achieve an above-average level of 44.1% out of 70% on the overall average score on Maqasid Shariah's objectives application in their reporting practice.

Contributions: The results help improve and understand the application levels on Maqasid Shariah objectives and the disclosure practice on Maqasid Shariah's financial reporting for Islamic banks in Malaysia. Hence, Islamic banks need full disclosure and specific standard or provision on reporting the Maqasid Shariah elements. This needs to assist the users and provide insights into making the right decision, especially in Shariah-compliant investment products, financing alternatives, or services.

Keywords: Maqasid Shariah, Islamic banks, disclosure, maslahah, fuzzy TOPSIS.

Cite as: Abdul Rahman, R., Kee, D. K. H. A., Bujang, I., & Jidwin, A. P. (2023). The disclosure practices on Maqasid Shariah objectives among Malaysian Islamic banks using fuzzy Topsis assessment. Journal of Nusantara Studies, 8(TI), 109-133. http://dx.doi.org/10.24200/jonus.vol8issTIpp109-133
TRUSTWORTHINESS, EXPERTISE AND LIKEABILITY TOWARDS HALAL PURCHASING BEHAVIOUR: DOES ATTITUDE MATTER?
Authors: Rizal Putri Vidiyanna , Rahim Hainnuraqma , Abdul Rasool Mohamed Saladin , Zakaria Nor Balkish , Muhd Irpan Hamidah 
Published: March 2024

Background and Purpose: Consumers prefer to review products and services through social media platforms before purchasing them. Consequently, social media influencers have become essential for advertising and reviewing products and services. Credible sources of information using persuasive messages are deemed as influential in the purchasing behaviours of consumers concerning products and services, especially among Gen Z. This paper examines the factors of social media influencers in the purchasing behaviour towards halal food products among Muslim Gen Z in Malaysia. Significantly, the world halal industry is one of the fastest growing markets, especially in the global market, with an estimated value worth around USD 2.3 trillion (excluding Islamic finance) a year.

Methodology: This study used the non-probability sampling method in selecting 226 respondents. Data collected were analysed using SPSS.

Findings: Findings showed that social media influencer trustworthiness, expertise and likeability could affect consumers’ attitudes and behaviours towards halal food products. Attitude plays a vital role as a mediator in the relationship of social media influencers' trustworthiness, expertise, and likeability towards purchasing behaviour towards halal food products among Muslim Gen Z in Malaysia.

Contributions: Accordingly, the findings of this study are expected to contribute to marketing theory and the concepts of consumer behaviours, especially among Gen Z, towards halal food products in the context of Malaysia.

Keywords: Social media influencer, purchasing behaviour, halal food products, Muslim, Gen z.

Cite as: Rizal Putri, V., Rahim, H., Saladin, M., Rasool, A., Zakaria, N. B., & Muhd Irpan, H. (2023). Trustworthiness, expertise and likeability towards halal purchasing behaviour: Does attitude matter? Journal of Nusantara Studies, 8(TI), 26-42. http://dx.doi.org/10.24200/jonus.vol8issTIpp26-42
Serum vitamin D metabolite and acute-phase protein concentrations are frequently abnormal in a cohort of hospitalized dogs and cats
Authors: Rose Hailey , Jaffey Jared A. , Cammarano Kellie , Ringold Randy , Turner Hailey D. , McArdell Kara , Sender David , Loftus John P. 
Published: March 2024

Abstract

OBJECTIVE
To determine whether serum 25-hydroxyvitamin D (25[OH]D) and 1,25-dihydroxyvitamin D (1,25[OH]2D) concentrations are associated with survival and negatively correlate with acute-phase protein (APP) concentrations in ill dogs and cats admitted to nursing care units.

ANIMALS
Client-owned dogs (n = 79) and cats (16) admitted to 2 academic veterinary hospital nursing care units.

METHODS
A prospective cohort study was conducted between August 12, 2019, and October 26, 2021. A diagnostic laboratory measured 25(OH)D, 1,25(OH)2D, and haptoglobin (HPT) in dogs and cats; C-reactive protein (CRP) in dogs; and serum amyloid A (SAA) in cats. Serum was collected within 12 hours of admission. Illness severity (acute patient physiologic and laboratory evaluation [APPLEfast]) scores and survival data were recorded.

RESULTS
Serum 25(OH)D concentrations were in the deficient range for 22 of 79 dogs and 2 of 16 cats. There were no associations between serum analyte concentrations (25[OH]D, 1,25[OH]2D, and APP) or APPLEfast score and survival in dogs or cats. In dogs, HPT was negatively correlated with 25(OH)D (P = .002; r = –0.34) and 1,25(OH)2D (P = .012; r = –0.28), while CRP was positively correlated with HPT (P = .001; r = 0.32) and APPLEfast score (P = .014; r = 0.16). In cats, 1,25(OH)2D was negatively correlated with APPLEfast scores (P = .055; r = –0.49) and SAA was positively correlated with HPT (P = .002; r = 0.73).

CLINICAL RELEVANCE
Serum 25(OH)D or 1,25(OH)2D was not associated with survival in our hospitalized patient population. Relationships between APP and serum vitamin D metabolites with APPLEfast scores in cats warrant further investigation as illness severity biomarkers.
Research on the High-quality Development Mode and Path of Rural “Culture and Tourism +” Integration Based on Data Analysis--Taking Bengbu City, Anhui Province as an Example
Authors: Lyu Bu , Cao Jianlei , Wang Na , Chen Jianhui 
Published: March 2024

Abstract
This study focuses on a high-quality development model that integrates cultural tourism (Literature and Tourism) and rural revitalization, and takes Bengbu City in Anhui Province as a case study to explore the implementation path and effect of the “Literature and Tourism +” strategy, to provide theoretical guidance and practical references for the sustainable development of rural economy. The study adopts the literature review methods, fuzzy comprehensive evaluation and entropy weight methods. It constructs the evaluation index system, including economic benefits, social impact, cultural tourism innovation inputs, etc. The study results show that from 2010 to 2023, the implementation path and effect of the “cultural tourism +” strategy will be improved. The results of the study show that in the development of cultural tourism integration in Bengbu City from 2010 to 2023, the number of tourists received increased from 6,424,800 to 8,237,900, the tourism income increased from 6,636,000,000 yuan to 6,989,000,000 yuan, and the proportion of tourism income to GDP increased steadily. Through in-depth analysis, it is found that there are differences in the development of culture and tourism among villages, such as Wuhe County has the highest level of culture and tourism development, while Huaiyuan County has the lowest. The integrated development of culture and tourism in the villages of Bengbu City has achieved positive results. However, it still needs to be further improved in regional cooperation, product restructuring, infrastructure construction, etc.
Application of BIM technology in whole life cycle management of assembled buildings
Authors: Ma Rong 
Published: March 2024

Abstract
This paper explores the application of BIM technology in the whole life cycle management of assembled buildings and investigates its role in improving construction efficiency, reducing costs and optimizing project management. The application of BIM technology in each stage is analyzed using principal component analysis and structural equation modeling methods. It was found that introducing BIM technology can significantly improve the efficiency of the design, production, construction and later operation and maintenance of assembly buildings. Specifically, in the design stage, BIM technology enhances the design efficiency through collaborative design; in the production stage, the production process is optimized through information management; in the construction stage, the 3D visualization tool of BIM reduces the construction errors and improves the construction efficiency; and in the operation and maintenance stage, the data management function of BIM technology improves the efficiency of the operation and maintenance of the building. The results show that applying BIM technology can reduce costs by about 20% over the entire project cycle. The conclusion indicates that BIM technology plays a vital role in the whole life cycle management of assembled buildings, which not only improves the efficiency, but also significantly reduces the cost, and is of great significance in promoting the modernization of the construction industry.
A study on muti-strategy predator algorithm for passenger traffic prediction with big data
Authors: Fu Yujie , Gao Ming , Zhu Xiaohui , Fu Jihong 
Published: March 2024

Abstract
In this paper, we study the big data multi-strategy predator algorithm for tourist flow prediction and explore the application of the algorithm in optimizing the tourist flow prediction model to improve the prediction accuracy and efficiency. An adversarial learning strategy extends the search space, an adaptive weighting factor balances the global and local search ability, and a variance operation combined with differential evolution is used to avoid local optimal traps. The experiment adopts variables such as network booking volume and search index as inputs for passenger flow prediction. The predator algorithm is trained by Extreme Learning Machine (ELM) to optimize the input weights and biases to build the FMMPAELM model. The results show that on the training samples, the FMMPA-ELM model predictions are highly consistent with the actual values, with a maximum prediction index of 200.On the test samples, although there are errors, the FMMPA-ELM model exhibits better prediction ability than the traditional ELM model. It is concluded that the FMMPAELM model can effectively improve the accuracy of passenger flow prediction and provide powerful decision support for the tourism industry.
The reform and practice path of “curriculum civics” of medical specialties in colleges and universities on the integration of multiple data
Authors: Xin Lin , He Ruhua , Chen Mengge , Xu Ming , Hao Hongliang 
Published: March 2024

Abstract
In the context of the new era, reforming “curriculum and political thinking” in the medical specialty of colleges and universities is a key path to realizing the fundamental task of cultivating moral integrity. The study adopts a blended teaching mode, combines online and offline resources, and focuses on analyzing the learning behavior of medical students. The correlation between learning behavior and performance was analyzed by DH-Kmeans cluster analysis algorithm and Pearson’s correlation coefficient. The experimental data came from the online learning behaviors of students in the 2022-2023 academic year of T Medical College, and a total of 2426 data were collected. The results showed that learning behaviors were highly correlated with grades, especially the number of tasks completed, course video progress, and the number of chapter studies. In addition, the comparative analysis of teaching experiments showed that students in the experimental class were better than the control class regarding ideological values, learning attitudes and grades. The conclusion shows that the blended teaching mode effectively improves medical students’ learning effect and the quality of ideological education.
Application of ultrasonic non-destructive testing in industrial pipeline inspection
Authors: Shi Xiaolong 
Published: March 2024

Abstract
This study focuses on applying ultrasonic non-destructive testing (UT) technology in industrial pipeline inspection, exploring the physical basis of ultrasound and its effectiveness in pipeline defect detection to improve industrial pipeline safety and reliability. We present the basic physical principles of ultrasound, including its propagation properties and reflection mechanisms. The research methodology includes the analysis of the reflection and refraction characteristics of the ultrasonic technology on different curved surfaces of the pipeline, as well as the establishment of probabilistic models to analyze the inspection data. The results show that the ultrasonic detection technology has a high degree of accuracy in detecting pipeline defects. For example, after 40 repeated inspections, the measurement errors of defect length and depth were less than 10%, of which the length measurement error of defect 2 was 7.14% and the depth error was 7.54%. The conclusion shows that ultrasonic non-destructive testing technology can be effectively applied to the safety inspection of industrial pipelines with high reliability and accuracy, which is of great significance for ensuring industrial safety.
Digital Dance Movement Recognition and Correction System Combining Human Skeletal Information
Authors: Li Ke 
Published: March 2024

Abstract
With the development of digital technology, digital dance movement recognition and correction has become a hot research topic. This study focuses on a movement recognition system that incorporates human skeletal information and aims to improve dance movements’ accuracy and correction efficiency. This study develops a digital dance movement recognition and correction system that combines human lean information. This system can recognize and correct dance movements accurately by improving the spatio-temporal graph convolutional network (ST-GCN). The study employs a spatio-temporal graph representation of the human skeleton and spatial graph convolution technique, and enhances the system’s movement recognition capability through an adaptive graph convolution module. The experimental results show that the system achieves an average accuracy of 99.3% in dance movement recognition, 82% and 92% on the publicly available datasets UTKinect and MSRAction3D, respectively, and 95% on the dance movement dataset ETHDance constructed in this study. In addition, by introducing channel, spatial and temporal attention mechanisms, the system also shows high efficiency in dance movement correction. For the correction test of 10 basic dance movements, the correction accuracy is more than 95%, significantly higher than the 69.91% of the traditional method. This study improves the accuracy of dance movement recognition and provides adequate technical support for dance teaching and practicing.
The Logic and Practical Path of Higher Education Curriculum Reform Based on Cognitive Psychology
Authors: Wang Rui , Huo Dongjiao 
Published: March 2024

Abstract
Based on cognitive psychology theory, this study explores the doctrinal logic and practical path of higher education curriculum reform to enhance the effectiveness of higher education programs, with particular attention to improving students’ psychological quality and learning effectiveness. The study uses the finite element method and digital waveguide technology to simulate and analyze the stringed musical instrument. Accurate simulation of the vibration characteristics of the musical instrument is realized through the vibration equations of an ideal string and the principles of the digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic properties of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.
Fault diagnosis technology of CNC electromechanical system in mechanical engineering equipment manufacturing under structural coupling
Authors: Bai Xueqing 
Published: March 2024

Abstract
This study addresses the fault diagnosis technology of CNC electromechanical systems in mechanical engineering equipment manufacturing, and explores the fault detection methods under the influence of structural coupling to improve the accuracy and efficiency of fault diagnosis. The study first analyzes the time-domain and frequency-domain features for fault diagnosis, including quantitative and dimensionless features used to identify different types of faults. Subsequently, the study explores feature dimensionality reduction methods, including algorithms such as PCA, LLE and t-SNE, and compares the effectiveness of their application in fault diagnosis. The research focuses on proposing a lightweight deep learning fault diagnosis framework called LTCN-BLS, which combines 2-DLTCN and 1-DLTCN branches, and an ILAEN-based BLS classifier to effectively extract and fuse time-domain and time-frequency-domain features of the data. The experimental results show that the LTCN-BLS framework has high accuracy and low network complexity in fault diagnosis, and has obvious advantages in early fault monitoring, degradation assessment, and robustness compared with traditional methods.
Research status of abnormal lipid metabolism and tumorigenesis and development
Authors: Liu Zixuan 
Published: March 2024

Abstract
There is a close relationship between abnormal lipid metabolism and tumor malignant behavior, and abnormal lipid metabolism plays a crucial role in developing malignant tumors. Based on BiLSTM model, combined with Transformer Encoder and CRF decoder, the article successfully constructed a joint extraction model of medical literature, and with the help of Neo4j technology, built the knowledge graph of lipid metabolism abnormality and tumor occurrence and development. The study used data sources from WOSCC, CNKI, Wanfang, VIP, and other databases as data sources. It used bibliometric analysis and tools like CiteSpace and VOS viewer to visualize and analyze related studies in-depth. The study results showed that Oral Oncology in the UK ranked first in abnormalities of lipid metabolism in the number of publications, with a total of 301 related papers and an impact factor of 5.118. The number of studies related to oncology increased from 11 in 2010 to 414 in 2023, with a growth of more than 36.64 times. By comprehensively analyzing the current situation of abnormal lipid metabolism and tumorigenesis and development, this paper provides new ideas and perspectives for the study of cancer prevention, diagnosis, treatment and mechanism. It helps to promote the in-depth research and development of related fields.
Design and realization of Lora wireless communication and 5G based middle and long distance running system under the healthy development of innovative sports
Authors: Han Ying , Xue Dong , Wang Peng 
Published: March 2024

Abstract
In innovative sports, integrating new-generation technologies is revolutionizing how we approach and analyze athletic performance. Our research focuses on developing a sophisticated middle and long-distance running system that harnesses the power of modern communication tech, including LoRa connectivity and 5G edge computing. By applying the IMF method, we effectively minimize data noise, enhancing the fidelity of sports signal analysis. Our system’s prowess is evident in its low latency (2.97 ms at 100 nodes), high accuracy (rating of 6.8), and impeccable anti-collision capabilities during competitive events. In practical tests over 1000 meters, it dramatically reduced timing errors to a mere fraction of manual methods, demonstrating its precision and potential to transform physical training and education. This innovation stands as a beacon for the future of sports, driving the integration of technology and athletics.
Effective application of biosensor analytical techniques in drug testing
Authors: Yan Zhiwei , Hao Xiaohui 
Published: March 2024

Abstract
This study explores biosensor technology, focusing on its application in drug detection through advanced quantitative analysis methods: partial least squares (PLS) and probabilistic principal component analysis (PPCA). We developed a rapid quantitative calibration model using azure A, B, and C—metabolites of pefloxacin mesylate and methylene blue— demonstrated through surface-enhanced Raman spectroscopy. The findings highlight the superior accuracy of PLS and PPCA in predicting drug concentrations, with pefloxacin mesylate detection deviations maintained between 0.24%-0.98% and 0.35%-1.02%, respectively. PLS proved to be slightly more effective. This study confirms the potential of biosensor technology in ensuring drug safety, offering substantial support for public health protection and regulatory compliance.