bluuebunny/crossref_metadata_2025 huggingface dataset:
Antecedents and Consequences of Consumers Attitudes Towards Artificial Intelligence in Social Media
Authors: SARGIN Sinem
Published: July 2024

This study investigates the antecedents and consequences of consumers' attitudes toward artificial intelligence in the social media era. Through an empirical study, data was collected from 388 consumers in Turkey. SmartPLS was used to test the proposed hypotheses. Several key findings were reached: (i) Anthropomorphism impacts consumers' performance expectations positively. (ii) Anthropomorphism does not influence positive attitudes towards artificial intelligence. (iii) Consumers' performance expectations have significantly positive effects on positive attitudes towards artificial intelligence and also on positive emotions. (iv) Positive emotions do not influence positive attitudes towards artificial intelligence. (v) Positive attitudes towards artificial intelligence significantly have positive effects on consumers’ engagement on social media. (vi) Social media self-efficacy has a positive effect on consumers’ engagement on social media. (vii) Consumers’ social media engagement impacts purchase behavior positively. Establishing a comprehensive framework, this study offers valuable insights into the intricate relationships among anthropomorphism, performance expectations, emotions, attitudes, social media self-efficacy, social media engagement, and consumer purchase decisions in the evolving landscape of artificial intelligence. The study contributes to the literature by examining the antecedents and consequences of consumers’ positive attitudes toward artificial intelligence with a comprehensive model. Besides, understanding the drivers that push consumers to generate positive attitudes toward artificial intelligence and the consequences of these positive attitudes is crucial for marketing managers and businesses.
Investigating the Effects of Organizational Long-Term Orientation and Employees Pay Satisfaction on Turnover Intentions
Authors: AKSOY Eda
Published: July 2024

This research investigates the impact of organizational long-term orientation (LTO) and employees’ pay satisfaction on their intentions to leave their jobs. Drawing from stewardship theory, it proposes that both organizational LTO and pay satisfaction will inversely influence employees’ intentions to quit. Furthermore, these two antecedents are expected to have an interactive influence on turnover intentions. The theoretical model was empirically tested with data collected from an online survey of 335 white-collar employees across various industries in Türkiye. The data were analyzed using moderated multiple regressions. The findings provide empirical support for the hypothesized negative relationships between both organizational LTO and pay satisfaction with employees' intentions to leave their jobs. Furthermore, LTO has a significant moderating effect. When pay satisfaction is low, LTO significantly reduces turnover intentions. No significant effect is found when pay satisfaction is high. Hence, the study shows that pay satisfaction has a key influence on employees’ decisions to remain with the organization, especially in the context of high levels of unemployment and economic uncertainty observed in developing countries like Türkiye. Nevertheless, the study findings also suggest that organizations that have a high level of LTO can buffer at least some of the negative effects of low pay on employee retention.
In office external bleaching of teeth with discoloration: a case report
Authors: Anindya Cinitra , Ismiyatin Kun , Zubaidah Nanik , Supandji Rafaelle Raditya , Nurkhalidah Binar Najwa
Published: July 2024

Background: Tooth discoloration is a prevalent issue that significantly impacts an individual's self-confidence. Fortunately, dentists offer highly effective and non-invasive teeth whitening techniques that use higher concentrations of hydrogen peroxide (HP) of around 35% to 40%. These techniques can help resolve the problem of teeth discoloration better than at-home methods designed to deliver faster results. This is particularly helpful when immediate whitening is required. Purpose: This case study aims to report cases of in-office external bleaching of discolored teeth. Case: A 29-year-old woman complained about the yellowish shade of her teeth, which made her feel less confident due to the yellowish color. Case Management: The management for discoloration of teeth was done with dental bleaching using 40% hydrogen peroxide. As a result of the treatment, the desired tooth color increased from 3M1 to 1M1 Vita 3D Master and from Opalescence no.6 to 4. Conclusion: In-office dental bleaching is a highly effective treatment option for correcting tooth discoloration that dental professionals widely use. The procedure can significantly improve the appearance of discolored teeth and increase self-confidence of the patient.
Multidisciplinary assessment of tumor response after internal and external radiation therapy for hepatocellular carcinoma
Authors: Mendiratta-Lala Mishal , Batra Shaan , Lala Kethan , Kohn Miles , Owen Dawn
Published: July 2024

Treatment of hepatocellular carcinoma with both internal and external radiation therapy is becoming more common, with the recent incorporation of internal radiation therapy (transarterial radioembolization) into the Barcelona Clinic Liver guidelines. With the increasing use of radiation therapy for the treatment of liver cancer, it is essential to understand the expected imaging findings after therapy and establish a consensus on the management of these patients. Recent insights into the unique post-treatment imaging features of HCC treated with radiation have prompted updates to treatment response algorithms to improve inter-reader response assessment. One must understand the type of locoregional treatment, the time interval of post-treatment imaging and the sequence of the treatment strategy to provide an accurate treatment response assessment. Although imaging response systems attempt to predict treatment efficacy, many of these complex cases should be discussed in a multidisciplinary setting for management recommendations.
COMPARATIVE ANALYSIS OF TOURISM DESTINATION COMPETITIVENESS: CROATIA VS. SERBIA
Authors: Pavluković Vanja , Slivar Iva , Kovačić Sanja
Published: July 2024

The purpose of this paper is to evaluate the tourism destination competitiveness of Croatia and Serbia from the perspective of tourism industry stakeholders, and subsequently compare their perceptions. Using the convenience sampling method and the snowball approach, tourism stakeholders in both countries were asked to assess 47 competitiveness indicators across four dimensions on a 5-point Likert scale. Comparative analysis of survey results revealed commonalities and disparities in stakeholders’ viewpoints. The findings indicate that both Croatia and Serbia should focus on addressing perceived weaknesses and leveraging strengths to enhance their competitiveness. Notably, both countries receive positive evaluations for their natural and cultural resources, suggesting their potential for tourism development. Stakeholders in Croatia perceive their country as more competitive than Serbia, particularly in marketing, experience, and infrastructure. However, Serbia faces challenges in these areas, indicating the need for improvement, especially in quality of tourism offerings and infrastructure. Also, Serbia struggles with international awareness, destination positioning, and brand perception. Croatia should continue investing in sustaining and enhancing its competitive advantages, while Serbia should focus on improving infrastructure, refining tourism policies, and enhancing marketing initiatives. Both countries should prioritize stakeholder consultations to gather insights and foster collaborative decision-making, along with establishing systems for continuous monitoring of competitiveness indicators and adapting strategies to changing market dynamics. The study highlights implications for DMOs and tourism businesses in each country, emphasizing the importance of cross-country comparisons to understand the significance of competitiveness attributes and the efficacy of strategies within the tourism industry context. This research offers both theoretical and practical contributions, providing policymakers and stakeholders with insights to tailor strategies aligned with stakeholder perceptions and to boost competitiveness in the tourism industries of Croatia and Serbia.
AGEING OF THE LABOUR FORCE – INSIGHTS FROM THE CROATIAN HOSPITALITY INDUSTRY
Authors: Maškarin Ribarić Helga , Dadić Fruk Lorena , Črnjar Kristina
Published: July 2024

Purpose - The research aims to investigate the ageing of the labour force in the Croatian hospitality industry and its implications for sustainable development. Specifically, the study seeks to determine if the ageing trend within the hospitality sector aligns with national labour market trends. Design - The study focuses on analysing the age structure of the workforce in the hospitality industry compared to the overall national level. By examining the dynamics of ageing within this industry, the research aims to uncover any contrasting patterns and trends in the workforce composition. Methodology - Utilizing secondary data from the Croatian Bureau of Statistics, the research conducts a regression analysis to delve into the age distribution within the hospitality industry. The analysis covers a period from 2009 to 2022, providing insights into the changes in the age structure of the labour force over time. Approach - The study delves into the effects of global changes and crises on the labour market in Croatia. By focusing on the hospitality industry, known for its seasonality, low wages, and high proportion of unskilled labour, the research aims to understand how these factors have influenced the age composition of the workforce. Findings - The research reveals a notable trend within the hospitality industry, showcasing a higher proportion of younger workers compared to the national average. This observation contradicts the general ageing trend observed at the national level, highlighting the unique dynamics within the hospitality industry sector. Originality of the research - The study’s originality lies in its specific focus on the ageing workforce within the Croatian hospitality industry. By shedding light on how this sector diverges from national labour market trends, the research provides valuable insights into the changing demographics of the workforce in a critical sector like the hospitality industry. This analysis contributes to a deeper understanding of the implications of age demographics on business policies and human resource management within the industry.
MANAGEMENT OF ELECTRONIC MEDICAL WASTE DISPOSAL AND ITS IMPACT ON THE SUSTAINABILITY OF THE TOURISM DESTINATION
Authors: Baričević Dino , Rajković Irijana , Šimunić Mislav
Published: July 2024

Purpose - The management of electronic medical waste (e-waste) represents a significant challenge and an opportunity for sustainability in the health tourism industry. As large companies in tourist destinations increasingly use electronic devices for medical purposes, the disposal of these items becomes crucial for the health of the environment and the sustainable development of the destination. This paper examines the impact of healthcare e-waste disposal in destinations and discusses strategies for effective management to improve sustainability. Findings-Research - This study is based on a mixed methods design that includes a quantitative analysis of e-waste generation and qualitative case studies at major healthcare providers in leading tourism destinations. The paper evaluates different strategies for e-waste management, including Design for Environment (DfE) principles, the use of environmentally friendly materials, energy efficient practices, data security measures, recycling and reuse, and more. A multi-perspective approach will be used to discuss the challenges and opportunities of e-waste management that promotes sustainable tourism development. Design/methodology/approach - This study examines the management of electronic medical waste (e-waste) and its impact on sustainability in tourism destinations. With the increasing integration of technology into the healthcare services offered there, the proper disposal and recycling of e-waste is proving critical to maintaining environmental health and ensuring sustainable development of the tourism economy. This study aims to identify effective e-waste management strategies that can be implemented by large companies operating in tourism destinations and analyse their impact on the environmental sustainability and overall attractiveness of these places for tourists. Findings/ Originality of the research - This study not only represents an intersection between the healthcare industry’s management practices regarding the disposal of average-life devices by hospitals and sustainability in tourism, but also provides insights for policy makers, healthcare managers and tourism stakeholders regarding effective e-waste management approaches. The study highlights the role that sustainable e-waste management can play as a key differentiator for destinations, while ensuring the health and safety of tourists and the wellbeing of the host community. The argument of this study is therefore that the current management of e- waste in healthcare facilities needs an alternative approach to improve their attractiveness and sustainability.
CONCEPTUALIZATION OF ONLINE REPUTATION OF TOUR OPERATORS: SOURCES, COMPONENTS, AND SPECIFICS
Authors: Kvítková Zuzana , Petrů Zdenka
Published: July 2024

Reputation management is important in achieving a competitive advantage for travel agencies. This paper aims to bring more insights into the (online) reputation of tour operators and identify the specifics in this field of business. The authors approached the topic from the perspective of the tour operators. They focused on the following areas: factors influencing customers´ choice according to the managers’ perspective, reputation components and identification of the main internal and external sources of reputation, ICT implementation, and reputation protection through an approach to negative reviews. The research was based on the qualitative research design, using in-depth interviews was decided as appropriate and consequently, the content analysis was applied. As a result, in the framework of the research, three external sources of reputation were identified: (1) social media and networks, (2) supplier reputation and quality, and (3) media. Three internal resources were used: (1) supplier reputation and quality as part of the strategy, (2) quality of the service, and (3) education and training of employees. The main specifics of the tour operators are the following: (1) higher dependency on social networks (mainly Facebook considering the form of content and the age group of customers), (2) closed and private groups with no possible protection of the reputation or even monitoring, (3) high dependency on the supplier’s reputation and quality standards, (4) fragmented market (many “no name” businesses) is often perceived as a mass by the customers, a negative case described by media can threaten the reputation of the whole sector.
QUALITY MANAGEMENT PRINCIPLES IN HOTEL COMPANIES – A MANAGER`S PERSPECTIVE
Authors: Periša Ana , Vrtodušić Hrgović Ana-Marija
Published: July 2024

Purpose – The article focuses on the implementation of Quality Management Principles in hotel companies. The purpose of this article is to identify the dimensions of a Quality Management System (QMS) that determine the implementation of Quality Management Principles from the managers’ perspective in medium-sized and large hotel companies in the Republic of Croatia. Design – The primary research was conducted from May 21st to July 12th 2023. A total of 154 valid questionnaires were collected. The respondents were managers (CEOs, general managers and/or their deputies or assistants) of large and medium-sized hotel companies in Croatia. Methodology – A survey method using a structured questionnaire was performed. Exploratory factor analysis (EFA) was performed to identify the dimensions that, according to the respondents, determine the implementation of QMS principles. The Kaiser – Meyer – Olkin (KMO) test was performed as a statistical measure to identify data suitability for factor analysis, and the result of the KMO test was greater than 0.6. Findings – Exploratory factor analysis (EFA) was performed to determine the dimensions that, according to the respondents, best define the implementation of QMS principles. The exploratory factor analysis (EFA) identified three dimensions (factors) that according to the respondents’ perception, best describe and determine the implementation of QMS principles in hotel companies. The generated 3 factors explain 56.04% of the total variance. The reliability of each generated dimension was determined by calculating Cronbach’s alpha coefficient which was greater than 0.700. Originality of the research – The results identify which factors are relevant for hotel managers in determining the implementation of the quality management principles in hotel companies. The results of the research can help hotel managers in creating guidelines for the efficient integration of QMSs into everyday business practice.
Kelayakan Usaha Peternakan Domba Padukuhan Wonosobo, Sardonoharjo, Ngaglik, Sleman, DI Yogyakarta
Authors: Sulistio Joko ,   Universitas Islam Indonesia, Tri Budiawan Nagusta ,   Universitas Islam Indonesia
Published: July 2024

Increased public consciousness regarding the significance of meeting nutritional needs, such as calories and animal protein, causes the demand for food from livestock to increase, one of which is sheep meat. The rising population contributes to a continual increase in the demand for sheep. This study aims to assess the viability of the livestock industry in the Sardonoharjo Sub-Village of Wonosobo, Ngaglik Kapanewon, Sleman Regency. This study uses different models in animal husbandry, namely the first (X1) sheep farming in general and the second (X2) farming with farmer partners. Then the investment parameters used to determine a feasible and profitable business are the R/C Ratio , the B/C Ratio , and the BEP. Analyzing the feasibility of a sheep business through two distinct models reveals that the farming model involving farmer partners (X2) proves to be more lucrative over three years. With a higher R/C Ratio and B/C Ratio value, it is more feasible, as well as a lower BEP price, so that it breaks even faster and is more stable against price changes compared to model X1.
Peningkatan Kinerja Perusahaan Melalui Pelatihan Manajemen Logistik
Authors: Kusrini Elisa ,   Universitas Islam Indonesia, Dwi Annisa Putri , Nailie Azzat Noor , Munang Aswan ,   Universitas Islam Indonesia,   Universitas Islam Indonesia,   Universitas Islam Indonesia
Published: July 2024

Increasing logistics efficiency is one aspect that contributes to improving company performance through reducing costs, on-time delivery, and improving customer service. One effort to increase logistics efficiency is to increase the understanding of logistics actors themselves through training activities. Therefore, training activities are carried out from academics to logistics practitioners at companies operating in the logistics and supply chain sector. This training was carried out to increase knowledge and understanding of managing logistics. The training was conducted online and attended by various agency participants. The training material discusses efficiency strategies in logistics management and standardization of logistics performance. Various strategies in planning distribution and transportation, selecting transportation modes, selecting delivery routes, and the rules in Incoterm 2020 are discussed accompanied by examples and best practices. Based on the assessment of 14 participants, the pre-test results show that 50% of participants still got a score below 60 and the post-test score shows that the participants' knowledge has experienced a significant increase with more than 70% of participants getting a score above 80. This reflects an increase in understanding. from participants and demonstrate the effectiveness of the training. Collaboration between the world of practitioners and the world of academia needs to be improved, in the form of training programs for academics so that they can work together to contribute to the development of knowledge and increase professionalism in work to support progress and efficiency in various industrial sectors, especially in the fields of logistics and supply chain.
The problem of Internet accessibility for the visually impaired
Authors: Polilova Tatyana Alekseevna
Published: July 2024

The task of ensuring Internet accessibility for people with disabilities is formulated in the documents of the W3C consortium in the format of the WAI (Web Accessibility Initiative) and WCAG (Web Content Accessibility Guidelines) recommendations. GOST R 52872-2019 has been developed in the Russian Federation, based on WCAG recommendations. The analysis of some provisions of GOST R 52872-2019 is presented in this paper. The current Law No. 181-FZ on the protection of the rights of persons with disabilities is the legal basis for the development of versions of websites for the visually impaired. The provisions of Law No. 181-FZ are implemented in the policy documents of relevant departments. The paper analyzes the provisions of two orders of the Ministry of Digital Development of 2022 and 2023, which determine the procedure for presenting information for the visually impaired on the websites of organizations subordinate to management bodies of different levels. The practice of applying the provisions of regulatory documents and developing Internet support tools for people with health problems has not yet been sufficiently developed. The material contained in this work is intended to serve as a basis for immersion in the topic of regulatory support and technological solutions when designing websites of organizations, taking into account the needs of people with disabilities, in particular, visually impaired site visitors.
Analisis Rasio Keuangan untuk Memprediksi Kondisi Financial Distress Perusahaan Consumer Cyclicals
Authors: Burnika Erwin , Pahala Indra , Handarini Dwi
Published: July 2024

Penelitian ini bertujuan untuk menganalisis peran Return on Asset (ROA), Cash Ratio, Debt to Equity Ratio (DER), dan Total Asset Turnover terhadap Financial Distress perusahaan Consumer Cyclicals yang terdaftar di Bursa Efek Indonesia pada tahun 2020 - 2023. Penelitian ini dilakukan dengan menggunakan metode analisis regresi data panel dengan menggunakan bantuan perangkat lunak E-views 12. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari 212 sampel data yang terdiri dari 53 laporan keuangan perusahaan selama periode 2020 – 2023.. Hasil dari penelitian menujukan bahwa: (1) Return on Asset (ROA) berpengaruh negatif dan signifikan terhadap Financial Distress. (2) Cash Ratio  berpengaruh negatif dan signifikan terhadap Financial Distress. (3) Debt to Equity Ratio (DER) tidak berpengaruh terhadap Financial Distress. (4) Total Asset Turnover (TATO) berpengaruh negatif dan signifikan terhadap Financial Distress. (5) Return on Asset (ROA), Cash Ratio, Debt to Equity Ratio (DER), dan Total Asset Turnover (TATO) secara bersama-sama berpengaruh terhadap Financial Distress.
Accuracy of 4 Different Methods for Estimation of Remaining Growth and Timing of Epiphysiodesis
Authors: Breen Anne Berg , Steen Harald , Pripp Are , Niratisairak Sanyalak , Horn Joachim
Published: July 2024

Background:

The calculation of remaining growth in children and the timing of epiphysiodesis in those with leg-length discrepancy (LLD) is most often done with 4 methods: the Green-Anderson, White-Menelaus, Moseley straight-line graph, and multiplier methods. The aims of this study were to identify the most accurate method with use of bone age or chronological age and to evaluate the influence of including inhibition in the calculations.

Methods:

One hundred and ninety-one children (10 to 17 years of age) with LLD who underwent surgical closure of the growth plate and were followed until skeletal maturity were identified from a local health register. Patients had at least 2 leg-length examinations with simultaneous bone-age assessments (according to the Greulich and Pyle method), with the last examination performed ≤6 months before surgery. The accuracy of each method was calculated as the mean absolute prediction error (predicted leg length – actual leg length at maturity) for the short leg, the long leg, and the LLD. Comparisons were made among the 4 methods and among calculations made with chronological age versus bone age and those made with versus those without incorporation of a reduced growth rate (inhibition) of the short leg compared with the long leg.

Results:

The White-Menelaus method with use of bone age and a fixed inhibition rate was the most accurate method, with a prediction error of 1.5 ± 1.5 cm for the short leg, 1.0 ± 1.2 cm for the long leg, and 0.7 ± 0.7 cm for the LLD. Pairwise comparison of short-leg length and LLD according to the White-Menelaus and other methods showed that they were significantly different (p ≤ 0.002). The calculated inhibition rate did not increase accuracy.

Conclusions:

The White-Menelaus method used with bone age and constant inhibition should be the preferred method when predicting remaining growth and the timing of epiphysiodesis in children between 10 and 17 years of age. One examination is in most cases sufficient for the preoperative clinical investigation when chronological age and bone age are concordant.

Level of Evidence:

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Short-term applications of liquid organic fertilizer from fermented fish residue had adverse effects on the soil and leafy vegetable qualities
Authors: Sukitprapanon Tanabhat-Sakorn
Published: July 2024

Fermented fish residue (FFR) is a major byproduct generated from the fermented fish sources industries and has the potential to make liquid organic fertilizer. This study aims to determine the chemical properties of the FFR and OF derived from the FFR and to investigate the short-term application effects of the OF on the qualities of soil and leafy vegetable. Three cropping seasons of leafy vegetables (lettuce: Lactuca sativa) were conducted in a field experiment with five treatments consisting of liquid chemical fertilizer (IF) and various doses of the OF with water ratios of 1:100, 1:200, 1:500, and 1:1000. The FFR and OF were acidic and contained elevated amounts of N, EC, and Na but low in P, K, and potentially toxic elements. Applying high OF concentrations caused lower soil pH and exchangeable forms of Ca and Mg, but it enhanced available Fe, exchangeable sodium percentage, and exchangeable Na in soil. Short-term application of the OF had the potential risk of causing soil salinity and sodicity. Moreover, adding higher OF concentrations adversely impacts Na accumulation and K reduction in plants. Therefore, this study proposes that the FFR should not be used for OF production unless its Na is reduced.
Ortho-LBP: Novel Features for Enhanced Pattern Recognition through Bitwise Logical Fusion of Bidirectional Orthogonal Information with LBP
Authors: K Nithish Kumar , G Nirmal , Vaghulade Maitreya , Pateriya Pranav , Verma Shairal , Rathee Priyanka
Published: July 2024

Local binary patterns (LBPs) have been fundamental in image processing and machine learning, yet they exhibit limitations such as low preference, generalisation issues, and restricted neighbourhood sampling. To address these, we propose three novel feature extraction techniques: horizontal orthogonal information fused LBP (HOI-LBP), vertical orthogonal information fused LBP (VOI-LBP), and multiplied orthogonal information fused LBP (MOI-LBP). These proposed techniques integrate orthogonal information from the outer 5x5 neighbourhood through logical bitwisefusion with the traditional LBP 3x3 operator. We enhance feature richness and noise robustness by leveraging logical combinations of AND and OR operations on the cyclic 8-bit pairs of corner, horizontal, and vertical pairs of pixels surrounding the central pixel in the LBP’s outer neighbourhood. Experimental evaluations across diverse benchmark datasets, including dog versus cat, CIFAR-10, and MNIST, demonstrate the efficacy of the proposed techniques. We train different deep learning models, such as VGG-16, MobileNet, and EfficientNet B0. The HOI-LBP, VOI-LBP, and MOILBPfeatures consistently do better than regular LBP, showing an average increase of 6.63% training accuracy, and 4.7%in test accuracy. Furthermore, average reductions of 9.46% and 7.51% in training and validation losses signify improvedconvergence and generalisation capabilities. These results show that by capturing subtle variations in texture, gradientenergies, and structural patterns, the fused features offer a more comprehensive representation of image content. Thus,the proposed techniques introduce a paradigm shift in image processing and machine learning, empowering finer detailcapture and improved performance across diverse applications.
Effect of Thermal Aging on Mechanical Performance of GF/PBT Composites for High Voltage Bushing
Authors: Wang Qianli , Zhou Liying , Shang Xin , Duanmu Tianyang , Ma Huimin
Published: July 2024

The present work aims to study the mechanical performance of glass fiber reinforced polybutylene terephthalate (GF/PBT) composite materials used for high-pressure casing under different thermal aging temperatures. Both tensile and three-point bending tests are conducted on the thermally aged GF/PBT samples. Meanwhile, the stress analysis is performed using the finite element method, and the tensile fracture morphology and mode are observed using a scanning electron microscope. The findings reveal a decline in both tensile and bending strengths of GF/PBT as the aging temperature rises. It is worth noting that the elastic modulus of the composite samples remained relatively unaffected by thermal aging. The thermally aged materials exhibit brittle fracture, which directly affects the bonding performance between glass fibers and PBT matrix.
Predicting Tennis Match Outcomes Mid-GameUsing Machine Learning on Psychological and Physical Data
Authors: Li Boyuan , Deng Zihui , Li Jinger , Miao Yixuan , Gupta Gaurav
Published: July 2024

Predicting game outcomes has significantly garnered the interest of researchersin recent years. The role of player performance is integral in-game analytics, significantlyimpacting the interpretation and results of the analysis. Quantifyingfactors impacting tennis games would advance the analysis of player’s performance.The proposed work intends to use real-time data from each game pointto determine essential feature values, formulate and assess the impact of psychologicalmomentum, and employ machine learning methodology on mid-matchdata for predicting the game’s victor. The data source is from Wimbledon and US Open games from 2017 to 2022, a total of 1592 games, and utilize 363 gamesof 2023 to evaluate their forecasting ability. We first obtained weights throughinformation entropy and defined psychological momentum, and then 3 best classifiers,random forest, CatBoost, and Logistic Regression, were detected to assessthe features. Additionally, we implemented a soft voting ensemble method integratingthe Random Forest and CatBoost classifiers. All four models achieve over90% accuracy and F1-score, with the soft voting classifier performing the best(accuracy: 97.5%, F1 score: 97.4%). These models achieve predictive accuraciesabove 70% using the first 25% data of a game.
Effect of Tai Chi on Single-leg Balance in a Sedentary
Authors: Lu Chao , Gao Feng , chen Jie , Wang Weijian , Yang Haoping , Zhang Shinian
Published: July 2024

Objective: This study examines the effects of 16 weeks of taichi exercises on single-leg balance and attentional network in a sedentary population. The effect of the attention network factor in the improved balance ability was investigated. Methods: A randomized two-group parallel controlled trial. 43 sedentary people (23 tai chi group and 20 control group) participated in this study. Each subject was required to meet the criteria of sitting and lying down for an average of at least 7 hours per day for the past 1 month, with no exercise habits. Tai chi was used as the primary exercise intervention. The training was administered three times a week for 16 weeks. The control group would be required to submit the Sedentary Behavior Questionnaire weekly and ensure similar lifestyle habits as before. We measured subjects' dual-task single-leg balance using the Tecnobody-PK252 balance apparatus before and after 16 weeks, and their attentional ability using the attention network test.
Results: Tai chi significantly improved dual-task single-leg balance and attention in the sedentary group (p < 0.05). There was a significant difference compared to the control group. A correlation was found between improved attentional ability and sway path scores. There was no significant difference in the control group before and after the experiment (p > 0.05).
Conclusion: Tai chi can improve dual-task single-leg balance in sedentary people. Tai chi can improve the attentional network ability of sedentary people. Improvements in dual-task balance in the tai chi group correlated with improvements in the attentional network with Orienting and Executive control network.
Transcriptome analysis of stinging catfish (Heteropneustes fossilis) kidney reveals its role during adaptation to hypertonic environment
Authors: Chutia Priyambada , Das Manas , Saha Nirmalendu
Published: July 2024

Background
The facultative air-breather stinging catfish Heteropneustes fossilis, can easily adapt to anisotonic environment up to a level of 6 ppt. The teleost kidney is an essential osmoregulatory organ and plays a vital role in immune system maintenance.
Methods and Results
We took kidney samples from control and 100 mM NaCl-treated stinging catfish to study their adaptive responses to salinity stress. We used high-throughput sequencing followed by de novo transcriptome assembly to analyze the transcriptome of the fish. A total of 89,813 unigene transcripts with 47.28% GC content and 901 bp average length were produced during the final contig assembly. A BLAST search revealed that 45,855 unigenes had a considerable amount of similarity to sequences found in the Swiss-Prot and Ref-Seq databases. Comparative transcriptome analysis revealed that 1660 genes were differentially expressed (693 were upregulated and 967 downregulated) in the kidneys of fish treated with NaCl compared to control kidneys. Several GO pathway terms, including "inflammatory response" and "neutrophil chemotaxis" in the biological process category, "cytoplasm" and "integral component of membrane" in the cellular component category, and "metal ion binding" and "DNA binding," in the molecular function category, were found to be significantly over-represented by enrichment and functional analysis of the DEGs. Additionally, there was an overrepresentation of KEGG pathways like "chemokine signaling pathway," "cytokine-cytokine receptor interaction," and "metabolic pathways."
Conclusion
The current work demonstrates that tolerance to hypertonic environmental stress necessitates the activation of many molecular pathways involved in sustaining the physiological systems in air-breathing stinging catfish.
Computation of Connected Safe Set of Cycle-Related Networks and Applications
Authors: Iqbal Rakib , Zafar Sohail , Kashif Agha , Farahani Moahmmad Reza , Cancan Murat , Alaeiyan Mehdi
Published: July 2024

A connected collection of nodes in a network excluding which results in the decomposition of a network into components such that the cardinality of each component is at most equal to the cardinality of the collection is referred to as a connected safe set (CSS). A CSS of the least size is called connected safe basis and its cardinality is referred to as a connected safe number (CSN). In this article, we computed CSS and CSN of certain cycle-related networks, namely tadpole network, helm network, and prism network. In addition, we presented an application of the CSS for ensuring an optimal water distribution network in a smart city.
A surrogate model-based ESM parameter tuning scientific workflow management framework for HPC
Authors: Hu Liang , Wu Xianwei , Che Xilong
Published: July 2024

In the present era, scientific computation is gradually becoming a primary research method, with an increasing number of researchers engaging in simulation studies on various high-performance computing platforms. Scientific workflows play a crucial role in organizing these complex research tasks effectively. However, poorly managed scientific workflows can lead to wastage of HPC com- putational resources. Researchers using scientific workflows for their studies hope to simplify operations and minimize additional learning costs. The parameter optimization of Earth Sys- tem Models (ESM) poses specific challenges due to its complexity, exacerbating these issues. To address these challenges, we propose a scientific workflow management framework for surrogate- based ESM parameter optimization. In this framework, various tools are deployed, and multiple management mechanisms are established to enhance control over different stages of the workflow cycle. The goal is to conserve platform resources and improve the user experience. We monitor a team engaged in tuning CAM parameters before and after adopting the framework, and the results demonstrate significant improvements in various metrics after deploying the framework. This validates that our proposed scientific workflow management framework effectively addresses the challenges in user operations and resource management during surrogate-based ESM optimization processes. It holds demonstrative significance in showcasing the potential of our framework.
Integrated metabolomic and microbiome analysis identifies Cupriavidus metallidurans as a potential therapeutic target for β-thalassemia
Authors: Guo Xianfeng , Zhang Xuchao , Li Min , Peng Yuanliang , Wang Zi , Liu Jing
Published: July 2024

β-thalassemia(β-TH) is an inherited hemoglobin disorder marked by ineffective erythropoiesis, anemia, splenomegaly, and systemic iron overload, predominantly affecting developing countries in tropical and subtropical regions. Despite extensive research on its pathogenesis, the interactions between gut microbiota and metabolites in β-TH remain poorly understood. This study compares fecal metabolomics and metagenomics between wildtype (WT) and heterozygous Th3/+ mice, a model for non-transfusion-dependent β-thalassemia intermedia. Our results show increased intestinal bilirubin metabolism, with significant elevations in metabolites such as biliverdin, bilirubin, and stercobilin. Metagenomic analysis revealed notable differences in bacterial composition between Th3/+ and WT mice. Specifically, Cupriavidus metallidurans was identified as a key bacterium that mitigates anemia by reducing liver and spleen iron deposition. This is the first study to ameliorate anemia in mice by altering gut microbiota, presenting new strategies for β-TH management.
Association Rule Mining and In silico Analysis of Ethiopian Traditional Medicine Prescription
Authors: Bultum Lemessa Etana , Kim Gwangmin , Lee Seon-Woo , Lee Doheon
Published: July 2024

Multicomponent traditional medicine prescriptions are commonly used for disease treatment in Ethiopia. However, the lack of consistency in these prescriptions across practitioners, cultures, and locations has impeded the development of reliable therapeutic medicines. Therefore, a systematic analysis of traditional medicine information is essential to identify consistent and dependable medicinal materials, fostering harmony in these practices. In this study, we compiled and analyzed a dataset comprising 505 prescriptions, encompassing 567 different medicinal materials used to treat 106 diseases. Utilizing association rule mining, we uncovered significant associations between human diseases and medicinal materials. Additionally, in silico analysis was conducted to provide support for these associations and validate traditional medicinal uses. The results of the study revealed significant associations between diseases and medicinal materials. Notably, wound healing showed a strong association with Rumex abyssinicus Jacq, prompting further molecular-level investigation to confirm this association. In silico analysis of the phytochemicals of Rumex abyssinicus Jacq identified 756 therapeutic targets enriched in various KEGG pathways and biological processes. Using the random-walk with restart algorithm in the CODA PPI network, we identified disease associated with these targets, including cancer, inflammation, congenital malformations, and diseases of metabolic, immune, respiratory, and neurological systems. Furthermore, numerous hub target genes in the PPI network were directly associated with the wound healing process, supporting the findings of the association rule mining and the traditional use of Rumex abyssinicus Jacq for treating wounds. In conclusion, this research revealed important associations between diseases and medicinal materials, emphasizing the therapeutic potential of Rumex abyssinicus Jacq. It provides a foundational understanding for further exploration of the efficacy of traditional and natural-products based medicines.
Broadband Double Layer Metamaterial Circular Polarizer Based on H-Spiral Structure
Authors: Huang Shihua , Mangi Farman Ali , Fatima Ghulam
Published: July 2024

A broadband double layer metamaterial circular polarizer using H-type spiral structure is proposed. The metamaterial structure consists of 784 unit cells arranged in a 28 x28 layout. Each unit cell is composed of H-spiral structure which are twisted by an angle of ± 45o. The right handed circular polarization (RHCP) and left handed circular polarization (LHCP) with high transmission circular polarization are achieved at 27.95GHz-29.95GHz, 31.04GHz-34.31GHz, 35.26GHz-35.96GHz, 38.08GHz-38.58GHz, 39.46GHz-39.60GHz, and 29.96GHz-31.03GHz, 34.32GHz-35.25GHz, 38.59GHz-39.45GHz, respectively. In addition, the broadband axial ratio bandwidth of 5.0%, 2.67%, 8.17%, 2.32%, 1.75%, 1.25%, 2.15%, and 0.35% is achieved across the 20–40 GHz range. The prototype model is fabricated and measured for the validation of simulated results. The simulated and measured results reveal that the metamaterial structure have efficient performance, in terms of Axial Ratio, broadband, transmission loss and circular dichroism for advanced polarization conversion applications. The overall calculated axial ratio bandwidth of 23.66% is extracted across the 20–40 GHz.
Characteristics and Predictors of Stillbirths at the West Gonja Catholic Hospital, Ghana: A Retrospective Analysis Using Birth Registry Data
Authors: Abesig Wadeyir Jonathan , Ganle John Kuumuori
Published: July 2024

Background
Predominantly, stillbirths occur in Low- and middle-income countries, with 75% of stillbirths occurring in sub-Saharan Africa and southern Asia. In Ghana, the stillbirth rate is 22/1000 births. Sadly, there is still limited understanding of the determinants of stillbirths in many parts of Africa, including the Savannah region of Ghana. This study examined the characteristics and predictors of stillbirths at the West Gonja Catholic Hospital from 1st January 2019 to 31 December 2020.
Methods
A retrospective, unmatched case-control study that compared data of mothers with stillbirths to mothers with live births at the West Gonja Catholic Hospital, was conducted. The total sample was 385 mothers (55 stillbirths and 330 live births) who delivered at the West Gonja Catholic Hospital from 1st January 2019 to 31st December 2020. The data were extracted from delivery registers in the labour ward using a Microsoft Excel data extraction form. We used logistic regression to estimate crude and adjusted odds ratios at a 95% confidence level.
Results
Completing Junior High School reduces the odds of a stillbirth (aOR 0.16 95% CI = 0.03–0.77, p < 0.022). The odds of having a stillbirth were higher among mothers who lived in rural areas (aOR 2.92, 95% CI = 1.01–7.86, P < 0.034), mothers who made < 4 antenatal visits (aOR = 6.11, 95%CI = 2.35–15.88, p < 0.01 ), mothers with hypertensive disease in pregnancy (aOR 10.56 95%CI = 2.31–48.26, p < 0.002), mothers who took < 3 doses of IPTp during pregnancy (aOR 11.26 95%CI = 4.38–28.97, p < 0.01 ), mothers who delivered preterm babies (aOR 13.14 95%CI = 3.16–54.58, p < 0.01), mothers who delivered postdate babies (aOR 9.77, 95%CI = 2.62–36.37), p < 0.01), and mothers with breech presentation of the foetus at birth (aOR 55.82, 95%CI = 8.53-365.44, p < 0.01).
Conclusion
A combination of socio-demographic, maternal and foetal factors determined stillbirth at the West Gonja Catholic Hospital between 1st January 2019 and 31st December 2020. Continuous community sensitisation on the effect of key risk factors, early classification of pregnancies into risk groupings and institution of special ANC for high-risk groups are recommended to improve on birth outcomes at the hospital. Other innovative strategies such as domiciliary antenatal care services are recommended to improve the timing and number of ANC attendance. Continuous professional development of midwives and community health nurses in the identification, management and timeous referral of high-risk pregnancies and labour are also recommended to help reduce this undesirable outcome of pregnancy.
Influence of a yogic lifestyle on COVID-19 vaccine refusal among yoga practitioners in Germany: A cross-sectional analysis
Authors: Beerenbrock Yvonne , Büssing Arndt
Published: July 2024

Background: The coronavirus disease 2019 (COVID-19) pandemic has tested society’s vaccine acceptance, particularly among health-conscious yoga practitioners. However, data on vaccine hesitancy in this group are limited.
Methods: To address this gap, we surveyed 1,545 yoga practitioners to assess the impact of vaccine refusal within the context of their yogic lifestyle using quantitative methods.
Results: Surprisingly, 28% of respondents refused vaccination. Age, frequency of yoga practice, and frequency of studying the philosophical background showed no significant influence on COVID-19 vaccine hesitancy. By contrast, the frequency of meditation, adherence to a strict vegetarian diet, individual importance of yoga, quality of life, and adherence to yoga ethics (yamas and niyamas) significantly influenced vaccine refusal. Sex had only a marginal effect. Practitioners who prioritized yoga as a spiritual path, adhered to strict vegetarianism, engaged in daily meditation, and maintained strong yoga ethics were more likely to refuse vaccination.
Conclusion: These findings provide insights into how a specific lifestyle may influence health behaviors, values, and decision-making processes in minority groups with specific health convictions.
Trial Registration: This study was retrospectively registered at the German Clinical Trials Register (https://www.drks.de) (DRKS00034607).
Developments and characteristics of fertility support policies in China over the past decade
Authors: Chu Liming , Duan Jiawei , Zhang Qi
Published: July 2024

Introduction
Encouraging childbearing is an important measure to optimise the current age structure of the population, and the core fertility support policy is fertility-friendly as well as family-friendly.
Materials and methods
This paper statistically analyses the fertility support policies of the country and provinces and cities in the past ten years to clarify the developmental changes and improvement trends of fertility support policies.
Results
Around the evolution of the policy theme, the fertility support policy shows the development trend of sprouting to shaping, unidirectional to expanding the dimension and increasing the surface, auxiliary to active, valuing birth to valuing parenting, family to socialisation, adjusting the number of births to reducing the cost of childbearing, raising and educating.
Discussion and conclusion
Further attention needs to be paid to the holistic, systemic, family and gender perspectives of the policy.