bluuebunny/crossref_metadata_2025 huggingface dataset:
Systematic review of culturally responsive teaching and implications for technical communication education
Authors: Liu Weiqi , Jamaludin Khairul Azhar , Hamzah Mohd Isa
Published: November 2024

Chinese vocational institutions grapple with significant challenges in inclusivity and equity, where traditional teaching methods often ignore the diverse cultural backgrounds of students, leading to disengagement and suboptimal academic performance. Culturally responsive teaching (CRT) provides a promising approach by incorporating students' cultural contexts into the learning process. This study systematically reviews 29 peer-reviewed articles published between 2020 and 2024, following PRISMA guidelines, to assess the effectiveness of CRT within technical communication education (TCE) in Chinese vocational colleges. The review identifies practical CRT strategies that have proven successful in improving student engagement, academic performance, and inclusivity. These strategies include the adoption of student-centered learning approaches, student involvement in curriculum design, tailoring teaching methods to address diverse learning styles and needs, integration of cultural references into teaching materials and ongoing professional development for educators. However, the implementation of CRT is often impeded by resistance from educators accustomed to traditional methods and by limited resources and funding. This study emphasizes the need for enhanced institutional and policy support to effectively integrate CRT into TCE, including the provision of necessary materials and the funding of professional development programs. Future research should explore the long-term impacts of CRT, its effectiveness across various educational contexts and the development of robust professional development programs, thereby solidifying the empirical foundation for CRT and advancing educational equity in TCE.
Influence of global university rankings on strategic decisions at Ho Chi Minh City university of education in balancing global competitiveness and local educational goals
Authors: Nguyen Khuong Vinh , Cao Tuan Anh , Nguyen-Duong Bao-Tran , Huynh Son Van
Published: November 2024

University rankings serve as crucial tools for evaluating and comparing the quality of higher education institutions worldwide. This study examines the impact of global university rankings on the strategic choices made by higher education institutions, with a focus on developing countries such as Vietnam. This study investigates rankings, including QS, Times Higher Education (THE), and Webometrics, and analyzes their emphasis on research output, internationalization, and reputation, frequently at the expense of teaching quality and community engagement. The reviewed literature comprises peer-reviewed articles and studies published from 2010--2023, emphasizing Vietnamese universities such as Ho Chi Minh City University of Education, which encounter difficulties in reconciling global competitiveness with local educational objectives. The findings demonstrate that global rankings tend to favor universities with robust research infrastructures and extensive international networks, resulting in disparities between well-funded institutions and those with limited resources. While emerging trends such as contributions to the United Nations Sustainable Development Goals (SDGs) are becoming more prominent, research metrics continue to be the primary determinants. The study concludes that existing ranking systems fail to adequately represent the broader objectives of universities in developing countries, especially those emphasizing local impact.
The most appropriate scale for behavioral research is a seven-point rating
Authors: Ibrahim Mohd Yusri
Published: November 2024

In social science research, the number of measurement scales is crucial since it might impact the validity and reliability of the results. The purpose of this study was to determine how many measuring scales yielded the best findings in terms of reliability and validity. Three-, five-, seven- and 10-point scales were used to examine the learning behavior of 131 higher education students in this study. The findings indicate that, in comparison to the other three scales, the use of a seven-point scale offers the maximum level of measurement validity and reliability. Consequently, to increase the accuracy of findings, social scientists are advised to employ a seven-point rating, particularly for those studying human behavior.
Organizational culture and its impact on effectiveness in Algerian higher education institutions
Authors: Mokadem Mohamed El Amine , Arshad Darwina , Saoula Oussama
Published: November 2024

In recent years, the pursuit of organizational effectiveness has emerged as a critical priority for higher education institutions (HEIs) worldwide. These institutions are continuously adapting to a rapidly evolving global landscape, where competition for resources, students, and academic prestige is intense. This study delves into the role of organizational culture in shaping the effectiveness of Algerian HEIs, an area that has received limited attention in the literature. Specifically, the research examines how different types of organizational cultures—clan, adhocracy, market, and hierarchy—are linked to institutional effectiveness. The study employs a cross-sectional research design, with data collected through structured questionnaires distributed to college deans and their representatives across multiple HEIs in Algeria. Out of 349 responses, 334 were deemed valid, resulting in a strong response rate of 67.6%. Data analysis was conducted using a combination of descriptive statistics through SPSS and structural equation modeling via Smart PLS 4.0, allowing for a comprehensive examination of the relationships between organizational culture and effectiveness. The findings affirm the study's theoretical framework, demonstrating that organizational culture is a significant determinant of institutional effectiveness in HEIs. Notably, hierarchy and market cultures were identified as having a significant positive impact on effectiveness, suggesting that structured environments with clear goals and a focus on performance contribute to superior outcomes in higher education settings. On the other hand, clan and adhocracy cultures did not show significant associations with institutional effectiveness, highlighting the complexity of cultural influence within educational institutions. This research is among the few, and possibly the first, to examine the relationship between organizational culture and the effectiveness of HEIs in Algeria. The study offers valuable insights for policymakers and educational leaders seeking to enhance HEIs by focusing on cultural dimensions that improve organizational effectiveness.
Raising awareness of financial education among youth in the Elbasan region, Albania
Authors: Gremi Eliona , Çerri Shpëtim , Morina Marsida , Kotollaku Mimoza , Çela Mirësi , Durmishi Ardian
Published: November 2024

This study aims to assess the current state of financial literacy among youth aged 15–25 in the Elbasan region of Albania, with a particular focus on the differences between urban and rural areas. Utilizing a mixed-method approach, the research collected data through surveys and interviews with students, educators, and community members. The quantitative data were analyzed using ANOVA and regression models, while qualitative insights were gained through thematic analysis of the interview responses. The findings revealed significant gaps in financial literacy, especially in rural areas, where access to financial education is limited. Over 68% of schools do not offer dedicated financial literacy modules, and most youth rely on family guidance for financial decisions. The study also highlighted a clear need for more practical financial education, as 85% of respondents expressed that their current education does not adequately prepare them for managing personal finances. In response to these findings, the research proposes several recommendations, including integrating practical financial education modules into school curricula and initiating community-based financial awareness programs. The study also suggests fostering collaboration between educational institutions and policymakers to address these gaps effectively. By identifying critical deficiencies in financial education, this research provides a foundation for future interventions aimed at improving financial literacy among youth, especially in underserved rural areas. The study emphasizes the importance of equipping young people with the necessary skills to make informed financial decisions, contributing to their long-term economic stability and the development of their communities.
Considering the influence of diet on neurodegeneration
Authors: Wankhade Sanjana , Mude Gaurav , Ingale Sakshi
Published: November 2024

Neurodegenerative disorders (NDDs) are characterized primarily by the gradual loss of neurons, which impairs cognitive and physical abilities. Factors such as aging, genetics, and the environment significantly contribute to the onset and progression of these noncommunicable diseases, including Parkinson's disease and Alzheimer's disease. Neurodegenerative disorders, which are characterized by neuroinflammation, oxidative stress, and neuronal loss, are common causes of morbidity and mortality worldwide. Diet plays a crucial role in neurodegeneration, with specific foods and nutrients affecting the emergence and progression of certain illnesses. External factors such as oxidative stress, high-fat and high-sugar diets, smoking, alcohol dependence, aging, brain injury, and increased neuroinflammation negatively impact neurodegeneration. Dementia is most commonly caused by Alzheimer's disease, which is characterized by memory loss due to hippocampal cell loss. Parkinson's disease manifests with nonmotor symptoms, including tremors, slowed movements, rigidity, depression, reduced smell and taste sensitivity, digestive issues, and insomnia. The Mediterranean diet is characterized by the consumption of alcohol in moderation; the consumption of dairy, red meat, refined grains, and saturated fats; and the consumption of many fruits, vegetables, seafood, whole grains, beans, and nuts. The ketogenic diet included moderate protein intake, low cellulose, and high-fat foods, with carbohydrates comprising less than 10% of the daily intake.
Antigenic and genetic characterization of gluten of several wheat varieties
Authors: Badalyan Manvel , Aloyan Tatevik , Kharatyan Satenik , Dilanyan Varya , Vardanyan Arayik , Martirosyan Hamlet , Abrahamyan Armine , Avagyan Lusine , Melikyan Andreas
Published: November 2024

Background: At this stage of agricultural development, the demand for modern wheat varieties have risen considerably. Beyond achieving maximum yield, it is now essential to produce grain that is both high-quality and safe. It is evident that addressing these challenges is nearly impossible through classical selection methods, which rely on a limited set of phenotypic indicators. Obtaining new varieties and enhancing the existing varieties of wheat to meet the needs of both the population and industry can only be achieved through advanced biotechnological methods, including molecular markers and genetic transformations. In this context, protein or biochemical markers are widely employed. Analyzing the electrophoresis spectrum and protein formula of gliadin enables the identification of key selection-genetic parameters of different wheat varieties. This approach also helps pinpoint the fractions and genotypes causing gluten intolerance or celiac disease.
Objective: The objective of this study is to analyze the electrophoretic spectrum in gliadin of several valuable wheat varieties cultivated in Armenia. This includes identifying their protein profiles, conducting genomic analysis, and clarifying the genetic regulation and toxic epitopes that exhibit antigenic activity responsible for gluten intolerance.
Methods: The experimental studies were conducted during 2023-2024 at the Biological Research Laboratory of the “Agrobiotechnology Scientific Center,” a branch of ANAU. The study utilized wheat varieites commonly grown in Armenia, including Bezostaya 100, Aleksevich, Grom, Pobeda 75, Shkola, Victoria, Morets, Tanya and Kolchuga varieties of. Electrophoresis was performed on 8% polyacrylamide gel.
Results: In the electrophoresis spectrum of the wheat varieties studied, the α, β, γ and ω regions were identified. The genes responsible for synthesizing the different fractions in these regions are located in 6A, 6B (S), 1A (S), 1 B (S) and 1D (S) chromosomes. Among the studied wheat varieties, only the Tanya was found to have an antigenic gliadin fraction (fraction 7), which can trigger gluten intolerance and allergy.
Conclusion: The results obtained can be used as genetic markers in the breeding process to develop new high-yield, antigen-free wheat varieties and improve existing ones.
Keywords: Celiac disease, gliadin, protein, electrophoresis, genome, protein formula.
Development of the entrepreneurial ecosystem for the agricultural sector in Ukraine during wartime
Authors: Pugachov Mykola , Shpykuliak Oleksandr , Zhuk Valerii , Bezdushna Yuliia , Ksenofontova Kateryna
Published: November 2024

Enterprises that conduct and ensure the production of agricultural products, their processing and promotion to domestic and foreign markets objectively function in a close relationship, which provides certain savings it also makes the entire chain vulnerable to the negative impact of external factors. The purpose of the study was to conduct an economic assessment of trends in its development under the influence of wartime. Its economic essence, structure, and functional characteristics were theoretically justified, namely: the features of the development of the agricultural sector of Ukraine and the nature of its transformations under the influence of multidirectional changes in the conditions of wartime influence are determined. The interdependence of efficiency and economic efficiency of enterprises belonging to ecosystem sectors was established and methodically justified. Trends in the formation of economic results in a destructive institutional environment were systematised and updated. The problems of modern trends in the development of the ecosystem were methodically processed and the assessment of the following was conducted: structural changes in the composition of business formations, employment of the population in business formations; changes in the material base, the volume of products sold and the profitability of ecosystem enterprises. The assessment was conducted across distinct stages of armed aggression, analysing various sectors of the ecosystem: “agriculture”; “food production”; “manufacture and trade of agricultural resources”; “trade of agricultural products”; and “trade of food products”. The assessment also considered the primary size groups, namely large enterprises and small to medium-sized enterprises. The high tightness of the relationship between the parameters of activity of enterprises of the ecosystem of the agricultural sector was proved, which has a systemic character, and the factor of income from the sale of agricultural products was highlighted as the most substantial for its functioning. The results contributed to understanding the patterns of interdependence between the size and effectiveness of management in agricultural ecosystem enterprises operating as an integral entity under wartime conditions. This understanding is crucial for achieving sustainability, enhancing competitiveness, and, most importantly, ensuring the economic and physical preservation of each specific enterprise
Influence of optical properties of surrounding medium on measured	photoacoustic signals
Authors: Liu Yingjie , Su Yixiong , Yao Jianquan , Wang Ruikang K.
Published: November 2024

Recent progress in photoacoustic imaging has shown its potential in biomedical imaging of biological tissues in vivo because it can offer the imaging contrast comparable to the optical techniques and the imaging resolution similar to the ultrasonic techniques. However, its imaging depth and contrast have a dependence on the optical properties of surrounding medium that has not yet investigated. Therefore, the understanding of how the tissue optical properties affect the performance of photoacoustic imaging would be important. In this paper, we investigate the influence of absorption and scattering coefficients of surrounding tissue on the measured acoustic signal generated from the photoacoustic source of interest. In the experiments, tissue phantoms were constructed with a range of optical properties. We used the intralipid solution to control the scattering property, and the methylene blue to control the absorption property of the phantom. The results show that the absorption and scattering coefficient of surrounding medium is one of major factors that affect the photoacoustic imaging depth and contrast.
Structural studies of some Indian coals by using X-ray diffraction	techniques
Authors: Saikia Binoy K. , Boruah Rajani K.
Published: November 2024

Coal is one of the most abundant energy resources and has the capability to meet future energy needs with high reliability. The basic knowledge of coal structure is crucial to an understanding of the physical properties of coal and chemistry of conversion processes such as gasification, liquefaction, combustion and carbonization. Coal samples from Makum coalfield, Assam, India were investigated by X-ray diffraction techniques. The highly diffuse X-ray diffraction profiles indicate that the coals have amorphous carbon in their structures. Some of the X-ray structural parameters were evaluated by a semi-quantitative method. The parameters determine were d $_{002}$ , d $_{10}$ , L $_{a}$ and L $_{c}$ of various carbon contents (wt%) of different collieries. Strong linear relationship of d $_{002}$ with the wt% of carbon of the coals was observed. The present study reveals that the Assam coals consist of random layered structures with turbostratic carbons.
Fuzzy intelligent quality monitoring model for X-ray image	processing
Authors: Khalatbari Azadeh , Jenab Kouroush
Published: November 2024

Today's imaging diagnosis needs to adapt modern techniques of quality engineering to maintain and improve its accuracy and reliability in health care system. One of the main factors that influences diagnostic accuracy of plain film X-ray on detecting pathology is the level of film exposure. If the level of film exposure is not adequate, a normal body structure may be interpretated as pathology and vice versa. This not only influences the patient management but also has an impact on health care cost and patient's quality of life. Therefore, providing an accurate and high quality image is the first step toward an excellent patient management in any health care system. In this paper, we study these techniques and also present a fuzzy intelligent quality monitoring model, which can be used to keep variables from degrading the image quality. The variables derived from chemical activity, cleaning procedures, maintenance, and monitoring may not be sensed, measured, or calculated precisely due to uncertain situations. Therefore, the γ-level fuzzy Bayesian model for quality monitoring of an image processing is proposed. In order to apply the Bayesian concept, the fuzzy quality characteristics are assumed as fuzzy random variables. Using the fuzzy quality characteristics, the newly developed model calculates the degradation risk for image processing. A numerical example is also presented to demonstrate the application of the model.
Tumor control probability (TCP) in prostate cancer: Role of	radiobiological parameters and radiation dose escalation
Authors: Ahmad Salahuddin , Vogds Betty J. , McKenna Fred , Vlachaki Maria T.
Published: November 2024

The objective of this work was to assess the relative impact of radiobiological parameters and radiation dose escalation on Tumor Control Probability for prostate cancer patients treated with radiation. Radiobiological parameters included α/β ratios, cell surviving fraction at 2 Gy (SF $_{2}$ ) and clonogenic cell density (CCD). Using the Niemierko method, TCP was calculated in ten prostate cancer patients as a function of increasing radiation doses (70–140 Gy), α/β ratios (1.5–20), SF $_{2}$ (0.3–0.7) and CCD (10–20 million cells/cm $^{3}$ ). At 70 Gy and CCD of 10 million/cm $^{3}$ , TCP was above 99% for SF $_{2}$ of 0.3 or 0.4, 97.4%–98.6% for SF $_{2}$ of 0.5 and less than 2% for SF $_{2}$ of 0.6 or 0.7. With dose escalation, TCP values above 99% were demonstrated at 80 Gy for SF $_{2}$ of 0.5 and 100 Gy for SF $_{2}$ of 0.6. For SF $_{2}$ of 0.7, TCP above 99% was demonstrated with 100 Gy and CCD of 10 $^{4}$ cells/cm $^{3}$ or 140 Gy and CCD of 10 $^{7}$ cells/cm $^{3}$ . TCP decreased with lower α/β of 1.5, but at a much smaller scale compared to SF $_{2}$ changes. TCP modeling predicts that SF $_{2}$ and CCD are dominant predictors of radioresistance in prostate cancer. Radiation doses of 100 Gy or greater may be required for tumors with SF $_{2}$ of 0.6 or above. Relating clinical tumor prognostic indicators such as Gleason score and PSA to radiobiological parameters will allow us to identify subsets of patients in need of higher radiation doses and adjuvant therapy to maximize treatment outcomes.
Fast hybrid CPU- and GPU-based CT reconstruction algorithm using	air skipping technique
Authors: Lee Byeonghun , Lee Ho , Shin Yeong Gil
Published: November 2024

This paper presents a fast hybrid CPU- and GPU-based CT reconstruction algorithm to reduce the amount of back-projection operation using air skipping involving polygon clipping. The algorithm easily and rapidly selects air areas that have significantly higher contrast in each projection image by applying K-means clustering method on CPU, and then generates boundary tables for verifying valid region using segmented air areas. Based on these boundary tables of each projection image, clipped polygon that indicates active region when back-projection operation is performed on GPU is determined on each volume slice. This polygon clipping process makes it possible to use smaller number of voxels to be back-projected, which leads to a faster GPU-based reconstruction method. This approach has been applied to a clinical data set and Shepp-Logan phantom data sets having various ratio of air region for quantitative and qualitative comparison and analysis of our and conventional GPU-based reconstruction methods. The algorithm has been proved to reduce computational time to half without losing any diagnostic information, compared to conventional GPU-based approaches.
A new iterative reconstruction algorithm for 2D exterior fan-beam	CT
Authors: Zeng Li , Liu Baodong , Liu Linghui , Xiang Caibing
Published: November 2024

The exterior computed tomography (CT) problem is one kind of truncation problem. It is very ill-posed, so that accurate reconstruction of the attenuation function is hardly possible from real data. Based on projection onto convex sets (POCS) algorithm, total variation minimization (TVM) methods, and C-V model, we develop and investigate a new iterative reconstruction algorithm, which is referred to as subregion-averaged-TVM-POCS (SA-TVM-POCS). Numerical simulations are presented to illustrate the efficiency of the algorithm. The results of this paper can be easily applied to other x-ray CT reconstruction problems.
Detection of Pneumonia in chest X-ray images
Authors: Parveen N. Ravia Shabnam , Sathik M. Mohamed
Published: November 2024

Pneumonia is the common type of infection found in the world. The infection spreads in the lungs area of a human body. The chest x-ray is performed to diagnose this infection. Physicians use this X-ray image to diagnose or monitor treatment for conditions of pneumonia. This type of chest X-ray is also used in the diagnosis of diseases like emphysema, lung cancer, line and tube placement and tuberculosis. Feature extraction methods like DWT, WFT, and WPT can also be used. In this paper, detection of pneumonia infection by unsupervised fuzzy c-means classification learning algorithm is used. This approach gives better result than the rest of the methods. In fuzzy c-means, each resultant pixel gives accurate value since it has a weight associated with it.
A study on the mean free path and half value layer at various	alloys for different photon energies
Authors: Han I. , Aygun M. , Demir L. , Narmanlı E.
Published: November 2024

The mean free path (mfp) and half value layer ( $x_{1 / 2}$ ) values of binary and ternary alloys consist of 3d transition metals have been have been calculated at photon energies 22.1, 25.0, 59.5 and 88.0 keV. The experimental linear attenuation coefficients (μ) for present photon energies have been used to obtain the values of mfp and $x_{1 / 2}$ . The experimental mfp and $x_{1 / 2}$ results have compared with the theoretically calculated results based on attenuation coefficients obtained from WinXCom program. A good correspondence has been observed among the present results and the theoretical results.
Remember, Retrieve and Generate: Understanding Infinite Visual Concepts as Your Personalized Assistant
Authors: Hao Haoran , Han Jiaming , Li Changsheng , Li Yu-Feng , Yue Xiangyu
Published: November 2024

The development of large language models (LLMs) has significantly enhanced the capabilities of multimodal LLMs (MLLMs) as general assistants. However, lack of user-specific knowledge still restricts their application in human’s daily life. In this paper, we introduce the Retrieval Augmented Personalization (RAP) framework for MLLMs’ personalization. Starting from a general MLLM, we turn it into a personalized assistant in three steps. (a) Remember: We design a key-value database to store user-related information, _e.g._, user’s name, avatar and other attributes. (b) Retrieve: When the user initiates a conversation, RAP will retrieve relevant information from the database using a multimodal retriever. (c) Generate: The input query and retrieved concepts’ information are fed into MLLMs to generate personalized, knowledge-augmented responses. Unlike previous methods, RAP allows real-time concept editing via updating the external database. To further improve generation quality and alignment with user-specific information, we design a pipeline for data collection and create a specialized dataset for personalized training of MLLMs. Based on the dataset, we train a series of MLLMs as personalized multimodal assistants. By pretraining on large-scale dataset, RAP-MLLMs can generalize to infinite visual concepts without additional finetuning. Our models demonstrate outstanding flexibility and generation quality across a variety of tasks, such as personalized image captioning, question answering and visual recognition. The code, data and models are available at https://github.com/Hoar012/RAP-MLLM.
Hukum dan Politik dalam Penyelesaian Konflik dalam Mewujudkan Keadilan
Authors: Markoni Efendi Markoni Efendi , Wandi
Published: November 2024

Konflik dalam kehidupan sosial dan politik adalah fenomena yang tak terelakkan, dari perselisihan individu hingga konflik antar negara. Penyelesaian konflik yang adil dan efektif sangat penting untuk menjaga kestabilan dan harmoni masyarakat, dengan hukum dan politik memainkan peran krusial. Hukum menyediakan kerangka kerja dan prosedur yang baku untuk menyelesaikan konflik melalui pengadilan dan arbitrase, meskipun akses yang tidak merata terhadap layanan hukum dan penegakan hukum yang tidak efektif sering menjadi tantangan. Politik berperan signifikan dalam mediasi dan fasilitasi negosiasi konflik. Integrasi harmonis antara hukum dan politik, yang didasarkan pada prinsip-prinsip keadilan, transparansi, dan akuntabilitas, sangat diperlukan. Dengan memperkuat kolaborasi ini dan melakukan reformasi yang diperlukan, diharapkan konflik dapat diselesaikan dengan cara yang adil dan damai, menciptakan masyarakat yang lebih harmonis dan berkeadilan.
Pengaruh jenis kayu meranti merah (Shorea sp.), sengon (Falcataria moluccana Miq.) dan jati putih (Gmelina arborea Roxb) terhadap kualitas papan semen partikel
Authors: Handayani Sri Asih , Yunastain Yesi , Rindayatno Rindayatno , Fahmi Agus Nur , Wardhani Isna Yuniar , Widiati Kusno Yuli
Published: November 2024

Tujuan penelitian ini adalah menganalisis perbedaan jenis kayu terhadap sifat fisik dan mekanik papan semen partikel yang dihasilkan. Bahan yang digunakan didalam penelitian ini adalah meranti merah (Shorea spp.), sengon (Falcataria moluccana Miq.) dan jati putih (Gmelina arborea roxb) dengan campuran semen tonasa dan katalisator MgCl2. Pembuatan papan semen ini menggunakkan perbandingan partikel dan semen (3:1) dengan tekanan kempa 30 bar serta analisis data mengunakan RAL dengan 10 ulangan. Penelitian ini mengacu pada standar ISO 8335 (1987), MS 934 (1986) dan BS 5669 (1989) yang meliputi pengujian fisika (kerapatan, kadar air, penyerapan air, dan pengembangan tebal) dan sifat mekanika Modulus of Elasticity (MoE), Modulus of Repture (MoR) dan Internal Bonding Strength (IBS). Papan semen partikel meranti merah mendapatkan nilai terbaik pada pengujian kerapatan, kadar air, penyerapan air, pengembangan tebal, MoE, dan MoR. Pada papan semen partikel sengon mendapatkan nilai terbaik pada pengujian kerapatan, kadar air, penyerapan air, pengembangan tebal, MoE dan MoR.
Сучасні напрямки впровадження великих моделей штучного інтелекту в охорону здоров’я. Огляд літератури
Authors: Сорока Іван Миколайович , Мочалов Юрій Олександрович , Кізім Алла Володимирівна
Published: November 2024

Вступ. Великі моделі штучного інтелекту (чи як ще їх заведено називати – «базові моделі») є відносно новими хмарними програмними комплексами та рішеннями, які спеціалізуються в роботі з великими масивами даних та параметрів. Після проведення попереднього навчання такі моделі демонструють разючу продуктивність у виконанні різноманітних прикладних та теоретичних завдань. В охороні здоров’я поява великих моделей штучного інтелекту спонукала до розвитку нової парадигми для удосконалення та розвитку методологічних підходів в оцінці даних та розробки систем прийняття рішень. Методологія та методи дослідження. Мета дослідження – проаналізувати доступні джерела науково-медичної інформації, присвячені питанням застосування великих моделей штучного інтелекту в охороні здоров’я. Було здійснено інформаційний пошук доступної інформації у відкритих базах медичних публікацій – «PubMed», «Researchgate», «Google Scholar» та електронні депозитарії текстів наукових установ та закладів освіти. Глибина пошуку становила 10 років. Виклад основного матеріалу дослідження. Яскравим прикладом великих моделей штучного інтелекту є «ChatGPT», «Microsoft Copilot», «Google Gemini», «Claude», «Segment Anything» та «Copy.ai». Великі моделі штучного інтелекту поступово стають потужними інструментами для вирішення різноманітних завдань у галузі охорони здоров’я. На сьогодні можна визначити сім ключових секторів охорони здоров’я, в межах яких можна визначити суттєвий вплив великих моделей штучного інтелекту: 1) біоінформатика; 2) медична діагностика; 3) медична візуалізація; 4) медична інформатика; 5) медична освіта; 6) громадське здоров’я; 7) медична робототехніка. Сучасні великі моделі ШІ є відносно «сирими» та потребують удосконалення та адаптації до кожного сектору охорони здоров’я. Висновки. З часом великі моделі штучного інтелекту можуть стати обов’язковими компонентами системи охорони здоров’я, які будуть забезпечувати її функціонування та подальший розвиток. Варто відзначити постійні зміни парадигми розвитку штучного інтелекту, що сприяє створенню великих моделей штучного інтелекту для трансформації різних секторів охорони здоров’я та біології. Подальший успішний розвиток співпраці штучного інтелекту з охороною здоров’я потребує введення певних регуляторних підходів для зниження потенційних ризиків та запобігання конфліктів інтересів, що дозволить вивести галузь на новий етап розвитку.
Phát triển phần mềm trực tuyến phân tích dữ liệu với mô hình thang đánh giá
Authors: Phạm Thị Mai Huyền , Vĩnh Sơn , Phạm Lê An , Nguyễn Anh Vũ
Published: November 2024

Đặt vấn đề: Trong lĩnh vực y tế và giáo dục, các phương pháp thống kê truyền thống gặp hạn chế khi xử lý dữ liệu thang đo Likert cũng như đánh giá độ tin cậy của bộ câu hỏi. Nghiên cứu này tập trung vào việc khắc phục những hạn chế đó bằng cách phát triển phần mềm phân tích dữ liệu trực tuyến mô hình đánh giá thang đo Rating Scale Model (RSM), cho phép đánh giá độ khó câu hỏi và khả năng người trả lời trên cùng một thang đo, cung cấp thông tin chi tiết về cấu trúc bộ câu hỏi và độ chính xác kết quả.

Mục tiêu: Phát triển một phần mềm trực tuyến thân thiện với người dùng, có kết quả phân tích dữ liệu chính xác tương đương và trực quan hóa tốt hơn so với gói phần mềm R cùng chức năng.

Đối tượng và phương pháp nghiên cứu: Phần mềm RSM trực tuyến được phát triển, phần mềm R (gói eRm), dữ liệu khảo sát sử dụng thang đo Likert. Phát triển phần mềm RSM trực tuyến với giao diện thân thiện, chạy cả hai phần mềm trên cùng một tập dữ liệu khảo sát. Sau đó so sánh kết quả phân tích, đánh giá các chỉ số chất lượng bộ câu hỏi từ kết quả của cả hai phần mềm.

Kết quả: Phần mềm RSM có giao diện dễ sử dụng, thân thiện với người dùng, kết quả phân tích đạt độ chính xác tương đương với gói phần mềm eRm. Phần mềm cung cấp các công cụ trực quan để diễn giải kết quả tốt hơn eRm, có khả năng hỗ trợ đánh giá chất lượng bộ câu hỏi, cải thiện thiết kế khảo sát.

Kết luận: Phần mềm trực tuyến RSM đạt kết quả mong đợi, có tiềm năng ứng dụng rộng rãi trong y tế, giáo dục và xã hội, giúp phân tích dữ liệu khảo sát hiệu quả và chính xác hơn.

Từ khóa: thang đo Likert; lý thuyết trắc nghiệm cổ điển (CTT); mô hình đánh giá thang đo (RSM); lý thuyết đáp ứng câu hỏi (IRT)
INFLUENCE OF CHROMIUM SULPHATE AND MIMOSA (ACACIA DEALBATA) POWDER ON THE QUALITY ATTRIBUTES OF LEATHER PRODUCED FROM THE RUMEN OF CATTLE, SHEEP AND GOAT
Authors: Jantiku Hamman J. , Ekpa E. , Bata I. , Ijasini J. A. , Kperun T. N.
Published: November 2024

The study was carried out to investigate the feasibility of converting the rumen of ruminant animals into leather. Rumen samples from cattle, sheep and goats where subjected to two tanning methods: chromium sulphate and mimosa powder, with five (5) replicates under controlled conditions. Chromium sulphate tanning procedures involved cleaning, liming, de-liming, degreasing, fleshing, drenching, pickling, tanning, basification, aging, re-tanning, neutralization and fat liquoring while the mimosa powder tanning procedures included: cleaning, liming, de-liming, degreasing, fleshing, drenching, tanning and fat liquoring. The mechanical operation like fixing, staking and toggling were also carried out for both tanning procedures. The resulting leathers underwent a series of tests which included: thickness, tensile strength, percentage elongation, ball burst test, water absorption, shrinkage temperature, stitch and tear, permeability to water vapour and apparent density. The results obtained showed that thickness, tensile strength, percentage elongation, shrinkage temperature and water absorption differed significant (P<0.05) across the treatments. However, it was observed that stitch and tear, ball burst test (maximum load and maximum distention), apparent density and permeability to water vapour were not significantly (P>0.05) affected. The outcome of this study establish that rumen from cattle, sheep and goat can be processed into leather for many end uses. Leather quality is affected by rumen type and tanning agent. Cattle rumen tanned with chromium sulphate exhibited the best performance while mimosa powder tanned rumen leathers offers a sustainable and natural alternative. Due to its unique texture, rumen leather can be crafted into various items including key cases, purses, bracelets and...
SUKUK: UNVEILING THE STRUCTURAL UNDERPINNINGS, YIELD SPREAD DYNAMICS, AND COMPARATIVE ANALYSIS WITH CONVENTIONAL BONDS IN THE INDONESIAN FINANCIAL LANDSCAPE
Authors: Triandhari Risna Triandhari , Alfani Natasya Nisaul , Parianom Raden
Published: November 2024

This study delves into whether factors influencing credit spreads differ between sukuk and bonds within the vibrant Indonesian secondary market. The research leverages unbalanced panel data encompassing 2017-2023, meticulously obtained from Thomson Reuters Eikon and CEIC. To extract meaningful insights, a Fixed-Effect Model analysis is employed, a robust technique for handling this type of data. The study further conducts a partial analysis to recognize the potential heterogeneity within the sukuk market. This analysis explores explicitly whether the factors driving yield spread exhibit variations between sukuk structured under the ijarah and mudharabah principles. The study's core finding challenges the notion that investors perceive sukuk as a perfect substitute for conventional bonds in terms of the risk-return profile. This is evidenced by the high degree of similarity in the factors that influence the credit spreads of both instruments. However, a fascinating discovery emerges from the partial analysis. It reveals that mudharabah sukuk stands out as a distinct product within the Indonesian secondary debt market compared to its ijarah counterpart. This finding warrants further investigation into the specific characteristics of mudarabah sukuk that contribute to its distinctiveness.
THE ISLAMIC LEADERSHIP, COMMUNICATION ON THE PERFORMANCE OF ISLAMIC BOARDING SCHOOL AUTHORITIES
Authors: Rusli Lathiefa , Firmansah Yayan , Setiyono Ahmad
Published: November 2024

This research aims to analyse the effectiveness of Islamic Leadership, Communication on the Performance of Islamic Boarding School Authorities, especially in East Java Indonesia. Islamic Boarding School nowadays are facing the globalization era which causes the culture change, such as the traditional leadership style. Qualitative and quantitative data were analysed qualitatively to understand how to maintain the Islamic Boarding School’s problems. Sampling and population were done by collecting data into several Islamic Boarding School authorities. The first conclusion is the implementation of Islamic leadership has positive effect on the performance. The second conclusion is the implementation of communication has no effect on the performance. Another conclusion is the Islamic leadership is known to be more adaptive and more effective in facing the globalization due to the traditionalism era. In addition, some external context should be accommodated and considered in the organizational changes.
THE HEALTH LEVEL OF ISLAMIC COMMERCIAL BANKS IN INDONESIA: THE CAMEL APPROACH ANALYSIS
Authors: Huda Miftahul , Hayatunnisa Syaufi
Published: November 2024

The current condition of Indonesia's Islamic economy is starting to attract public attention. One way to maintain public attention to Islamic economics is that the State pays attention to bank health, because banks play a very important role for the State such as Islamic Banks and UUS are required to maintain a level of health which includes capital adequacy, asset quality, liquidity, profitability, solvency, management quality. This study aims to determine the health level of Bank Muamalat, BCA Syariah and Bank Panin Dubai Syariah. This research uses quantitative descriptive research methods using the CAMEL approach and using Excel as a tool. The population of this study is all Islamic Commercial Banks in Indonesia then taken sempel using simple random sampling technique so that the sempel in this study is Bank Muamalat, BCA Syariah and Bank Panin Dubai Syariah. The results of this study are that it can be seen that the health level of Muamalat Bank in 2018 and 2019 is at a healthy bank level while in the last 3 years Bank Muamalat is at an unhealthy bank level. In contrast to BCA Syariah during 2018-2022 the CAMEL value obtained by BCA Syariah was at a healthy level while the health level of Bank Panin Dubai Syariah in 2020 was at a fairly healthy bank level, apart from 2020 the health level of Bank Panin Dubai Syariah was at a healthy bank level.
DONATION TRANSPARENCY THROUGH BLOCKCHAIN TECHNOLOGY: A BIBLIOMETRIC ANALYSIS
Authors: Mohd Anim Nur Aqilah Hazirah , Rahim Norfhadzilahwati
Published: November 2024

This bibliometric study explores blockchain technology in the donation ecosystem using 44 scholarly publications from SCOPUS (2016-2024). Employing Biblioshiny from the Bibliometrix R package, the study identifies patterns and research gaps. Significant findings highlight the role of smart contracts and cryptocurrency in fostering transparency and security in donations. Additionally, cross-disciplinary discussions are encouraged to integrate blockchain into the donation system effectively. The study enhances understanding and offers strategic insights for future research.
THE EFFECT OF TANGIBLE ASSETS AND GREEN INTELLECTUAL CAPITAL ON PROFITABILITY: THE MEDIATING ROLE OF ESG PERFORMANCE (STUDY ON GO PUBLIC COMPANIES IN INDONESIA)
Authors: Sumiati  , Isnaini Araina
Published: November 2024

Integrating sustainable practices into business strategies is essential for enhancing economic performance and mitigating environmental impacts. In Indonesia, where economic growth and environmental sustainability are critical, this study examines the impact of tangible assets (TA) and green intellectual capital (GIC) on the profitability of publicly listed companies. The research investigates how tangible assets and green intellectual capital influence company profitability through the mediating role of ESG (Environmental, Social, Governance) performance. The study uses a dataset of 363 observations from 122 companies listed on the Indonesia Stock Exchange from 2020 to 2023. Path analysis is employed using RStudio to examine the relationships between tangible assets, green intellectual capital, ESG performance, and profitability (measured by ROA). The findings reveal a significant positive relationship between tangible assets and ESG performance, indicating that companies with substantial tangible assets are better equipped to implement sustainable practices. However, GIC does not show a significant direct impact on ESG performance or profitability (ROA). The mediation analysis underscores the critical role of ESG performance in enhancing profitability, demonstrating a significant positive effect on ROA. This suggests that ESG practices are essential in translating tangible and intellectual resources into financial gains. Despite the non-significant direct effects of GIC, its contribution through improved ESG performance highlights the importance of integrating green intellectual capital into corporate strategies for long-term profitability and sustainability. These findings offer valuable insights for corporate managers and policymakers, emphasizing the need for investments in tangible assets and green intellectual capital to foster sustainable practices and improve financial outcomes. The research underscores the importance for companies to focus on corporate social responsibility, environmental, and governance practices. Implementing ESG concepts helps companies build a good reputation, attract investors, achieve operational efficiency, and ensure long-term sustainability. This study supports the implementation of robust ESG frameworks to achieve both economic and environmental goals.
ANALYSIS OF THE INDUCTION PROGRAM DURING EMPLOYEE RECRUITMENT AND SELECTION AT PT. GLOBALINDO INTIMATES
Authors: Amalia Lutfi Septinawati  , Linando Jaya Addin
Published: November 2024

The aim of this research is to evaluate the general benefits of the induction program for respondents and to understand their perceptions of the program during the recruitment and selection period at PT. Globalindo Intimates. This study employs a qualitative research method, using data gathered through observation and interviews. The analysis is conducted using thematic analysis. The results of this research indicate several benefits of the induction program during recruitment and selection. Respondents reported that the program helps them understand the work system, company goals, and regulations before starting their jobs. Additionally, it disciplines employees, reduces company losses, and allows applicants to assess whether their values align with those of the company, aiding in their decision-making process about whether to join the company. The perceptions of applicants and the company regarding the induction program during the recruitment and selection period reveal both pros and cons. Applicants favor the induction program because it helps them comprehend the work system and regulations, providing them with a clear outlook on their prospective roles before starting. On the other hand, the company believes that conducting the induction program during this period is neither effective nor efficient.
The following suggestions are made for PT. Globalindo Intimates regarding the induction program carried out during employee recruitment and selection. Although there are some inaccuracies in its implementation, the induction program is very beneficial for applicants, employees, and the company. Therefore, it is recommended that PT. Globalindo Intimates continues to conduct the induction program during the recruitment and selection period. However, the program should be implemented in broad terms, covering the work system, work regulations, and company objectives, to minimize the time required for recruitment and selection activities while ensuring effective communication to applicants. Additionally, the induction program should be periodically evaluated to identify areas for improvement, ensuring its effectiveness in the future.
UNDERSTANDING THE DRIVERS OF ONLINE SHOPPING INTENTIONS AMONG MUSLIM CONSUMERS VIA SOCIAL MEDIA
Authors: Muhamad Zin Siti Nurhaini , Gazali Haneffa Muchlis
Published: November 2024

This paper aims to investigate the factors influencing the intention of Muslim consumers to make online purchases using social media. The research adopts the Technology Acceptance Model (TAM) as its theoretical framework. The study examines the impact of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, and Security on the intention of Muslim consumers to purchase online through social media. The sample data was collected through an online questionnaire with a total of 227 respondents. The collected data was then analysed using SPSS version 28.0 to assess model fit and test the hypotheses. The findings indicate that PU, PEOU, and Trust have a positive and significant relationship with the intention of Muslim consumers to purchase online using social media. The study found that Security has no significant impact on the intention of Muslim consumers to make online purchases through social media. The results of the study can be practically useful for customers who want to improve their understanding of online shopping through social media. The findings can also help researchers and policymakers to improve their work. The study contributes by providing a clear explanation of the factors that influence the decision of Muslim consumers to engage in online purchases via social media. Lastly, the report includes recommendations and limitations to guide future researchers interested in exploring this topic further.
THE IMPACT OF EXPERIENTIAL LEARNING ON STUDENT PERCEPTIONS OF A CAREER IN SALES
Authors: Abdul Shukor Syadiyah , Mohamad Nor Nur Shahira
Published: November 2024

Students generally tend to avoid the sales profession as salespeople are often perceived as insincere, pushy, aggressive, and annoying. Moreover, their negative perception of the profession continues to be reinforced by their lack of understanding about it. This study aims to examine the impact of participation in personal selling experiential learning course on student perceptions of a career in sales. Students enrolled in personal selling course participated in a range of experiential learning activities over the course of one semester including promoting financial service product in a real sales environment. The findings presented in this study show that students’ confidence, interest, and knowledge in selling differs before and after their participation in experiential learning. Also, interest in selling is associated with the student’s intention to pursue career in selling.