bluuebunny/crossref_metadata_2025 huggingface dataset:
Business process re-engineering and organization culture; Case study: Ministry of Public Service
Authors:   ,   Uganda Martyrs University, Kinalwa Martha
Published: February 2025

The study examined Business Process Re-Engineering and organization culture with specific reference to Ministry of Public Service in Uganda. It was guided by three research objectives which were; the influence of work process redesign, IT enabled processes and employee empowerment on organization culture. The study used a cross sectional survey design with both qualitative and quantitative results. Data was collected using questionnaires and interviews. In data analysis frequencies, percentages and mean, correlations and regressions to show the magnitude of effect the independent variables have on the dependent variable. Study findings revealed that work process redesign have a positive significant relationship to and organizational culture (r=.220, p < 0.01). Findings also revealed that IT enabled processes significantly affect organizational culture (r=.336, p < 0.01). Also it was found out that there is a positive significant relationship between employee empowerment and organizational culture (r=.503, p < 0.01). It was therefore concluded that work process redesign has improved work flow bringing about realignment of roles, IT enabled processes have changed the way of doing things in the organization due to the ease with which information can be accessed and employee empowerment that comes with Business Process Re-Engineering makes employees feel valued. It was therefore recommended that employees should be involved in the reengineering process so as to ensure their buy in right from the start, hire a consultant to offer further training in the new work processes to adopt more easily, ensure that IT enabled processes are more interactive in a way that allows easy usability.
Budget management and the survival of Saccos in Uganda
Authors:   ,   Uganda Martyrs University, Twesigye Mwerera Nobert
Published: February 2025

The study examined the effect of budget management on the survival of SACCOs in Uganda with reference to ISSIA Sacco in Western Uganda. The study acknowledges that many SACCOs the world over are putting more emphasis on management and internal controls through budgeting. Despite this, however, most of the SACCOs have been riddled with financial scandals and management problems which have affected their financial performances and survival. Most SACCOs are heavily in debt such that they are not able to promptly and adequately disburse enough loans to their members. Using a cross-sectional descriptive survey design that employs qualitative and quantitative approaches, the study subjected 116 respondents; Sacco staff, Sacco members and board members, to interview guide and questionnaires. The study was based on three objectives; to examine the effect of budget planning on the survival of ISSIA Sacco, to examine the effect of budget monitoring on the survival of ISSIA Sacco and to examine the effect of budget accountability on the survival of ISSIA Sacco. In the findings, it was established that ISSIA Sacco prepares budgets which are in line with the objectives of the Sacco. However, budget preparation does not involve all stakeholders as most stakeholders do not attend annual budget planning meetings. ISSIA Sacco management ensures that resources are used for their planned purpose. However, management is not actively involved in implementing the budget. This study concludes that good budget management and regulatory framework are key for survival of SACCOs. The Sacco leaders are transparent and adhere to the rules, guidelines and bi-laws but some leaders are not trained and qualified for their jobs without enough experience to manage a financial institution. The study recommends that ISSIA Sacco should establish formal training mechanisms which will encourage staff to maximize their contribution towards the organization’s objectives and all stakeholders should get involved in budget execution in enhancing the overall budget implementation
Teaching Clarity, Teacher-Student Interaction, and Satisfaction in One Vocational College in China
Authors: Shuxian Wu
Published: February 2025

The research explored the interconnections among teaching clarity, teacher-student interaction, and student satisfaction within a vocational college setting in China. It posited that clear teaching, encompassing well-defined goals, comprehensive content delivery, effective teaching methods, and organized classroom management, fosters a conducive learning environment.
A quantitative approach was adopted, utilizing a self-administered questionnaire distributed to 442 randomly selected students from four different majors in a vocational college. The questionnaire assessed teaching clarity, teacher-student interaction, and student satisfaction across various dimensions. The reliability of the measurement scales was evaluated using the Cronbach's alpha, ensuring internal consistency.
The findings revealed that students generally perceived teaching clarity and teacher-student interaction positively. Specifically, clarity in teaching goals, content, methods, and classroom management were positively associated with various aspects of teacher-student interaction. Furthermore, these factors were also significantly correlated with student satisfaction, encompassing teacher-student interaction, the teaching environment, teaching style, and self-efficacy.
Notably, significant differences were observed in students’ perceptions of teaching clarity, teacher-student interaction, and satisfaction across gender, major, and geographical origin. For instance, female students and those from rural areas reported higher satisfaction levels.
The study highlights that enhancing teaching clarity and fostering positive teacher-student interactions can significantly improve student satisfaction in vocational colleges in China. The findings offer valuable insights for educators and administrators aiming to optimize teaching practices and promote educational equity.
Academic Motivation, Support, and Self-Efficacy Among Medical Masters Degree Students in Guizhou, China
Authors: Liujian Cao , Caiga Beverly
Published: February 2025

The academic success of medical master's students is influenced by a variety of psychological, social, and environmental factors. Among these, academic motivation, social support, and self-efficacy are considered critical determinants of students' learning behaviors and academic outcomes. This paper aimed to explore the influence of Academic Motivation, social support and self-efficacy on the academic achievement of medical master students, with Guizhou University of Traditional Chinese Medicine. Through empirical research, questionnaire data from medical master students were collected and analyzed, the relationship between these factors was explored, and corresponding educational management countermeasures were proposed.
The findings revealed that Academic Motivation is an essential factor affecting students' academic achievement. Both intrinsic motivation and extrinsic motivation have a significant impact on students' learning behavior and grades. Intrinsic motivation is mainly related to students' interest in medical knowledge and expectations for career development. In contrast, extrinsic motivation is closely related to external factors such as obtaining a degree and social recognition. To improve students' Academic Motivation, educational administrators need to take various measures to stimulate students' intrinsic motivation and extrinsic incentives.
As social support plays a vital role in students' learning process, support from teachers, peers and families can enhance students' self-confidence and Academic Motivation, especially in the senior stage, when students face greater academic and employment pressure, so effective social support is particularly important. The study also showed that there is a significant positive correlation between academic self-efficacy and academic support. Improving academic support can enhance students' self-efficacy, thereby further promoting Academic Motivation.
The results of this study provide a theoretical basis and practical guidance for the educational management of medical master's students. Targeted stimulation of Academic Motivation, social support enhancement, and self-efficacy improvement will help improve students' learning outcomes and overall academic achievement. This article urges educational administrators to pay attention to gender and grade differences and develop strategies for supporting every student in the best way possible in dealing with learning challenges and achieving comprehensive personal and professional development.
Shaping a Bright Future with Hope and Education-An Analysis on Easterine Kire's Mose
Authors: Ahalya. R
Published: February 2025

This research study focuses on bringing out Easterine Kire’s views on education, particularly in her literary works, and platforms the importance of education in the process of amelioration, especially in marginalized communities. It also highlights how poverty should never be a barrier to access. Education is seen not just as a tool for personal growth, but also as a means of breaking the cycle of poverty. Similarly, the paper emphasizes that children must not be denied their right to education due to war or conflict. Kire advocates for the resilience of education systems, even in the face of adversity, suggesting that education is an essential right that transcends any socio-political or economic challenges. Regardless of the situation, education must be provided to young children, as it plays a crucial role in the development of both the individual and nation. This study explores how education fosters critical thinking, empowers future generations, and contributes to the advancement of a country’s economy and social stability. Kire's work reinforces the notion that education is foundational to building stronger, more inclusive societies and shaping the future of nations.
The Psychological Scars of Everyday Life in Gaza
Authors: A Ancy
Published: February 2025

Gaza Writes Back, a collection of short stories by Palestinian youths, depicts the deep psychological scars inflicted by ongoing conflict and war trauma. Through compelling narratives set against the harsh realities of daily life in Gaza, the collection highlights the profound impact of violence, displacement, and loss—particularly on children. This study examines how these stories serve as windows into the emotional and psychological struggles of Palestinians, revealing their resilience and suppressed emotions. Employing Freud’s psychoanalytic framework, this research aims to analyze how trauma manifests in the unconscious mind of the characters, shaping their perceptions and behaviors in a war-torn landscape.
Fenomena Fatherless Dalam Perspektif Al-Qur’an (Kajian tentang Relasi Ayah dan Anak dalam Kisah Al-Qur’an)
Authors: Astuti Desi Widiya Puzi , Bashori Bashori
Published: February 2025

Fenomena fatherless atau ketidakhadiran figur ayah dalam kehidupan anak menjadi masalah sosial yang terus meningkat, terutama di Indonesia. Penelitian ini bertujuan untuk menganalisis peran ayah dalam perspektif Al-Qur’an, khususnya dalam membangun relasi ayah dan anak yang sehat. Metode penelitian menggunakan pendekatan kualitatif berbasis studi pustaka (library research) dengan sumber utama ayat-ayat Al-Qur’an yang membahas relasi ayah dan anak serta berbagai literatur ilmiah sebagai pendukung. Berbeda dengan penelitian sebelumnya yang lebih menyoroti aspek psikologis atau sosial dari fenomena fatherless, kajian ini berfokus pada solusi yang ditawarkan Al-Qur’an melalui nilai-nilai parenting. Hasil penelitian menunjukkan bahwa Al-Qur’an menekankan pentingnya peran ayah dalam membimbing, melindungi, dan memberikan teladan positif untuk perkembangan spiritual, moral, dan emosional anak. Penelitian ini menyimpulkan bahwa keterlibatan ayah berdasarkan nilai-nilai Qur’ani dapat mengatasi dampak negatif fatherless sekaligus memperkuat ketahanan keluarga.
Peran Muhammadiyah Dalam Mencetak Generasi Unggul Melalui Pendidikan
Authors: Palguna I Gede Bagus Winaka , Nugraha Sabryan Likhan , Satria Aghna Kayru , Rimarsya Asyifa Arla , Hidayah Astika Nurul
Published: February 2025

Muhammadiyah, sebagai gerakan Islam yang berkomitmen pada pendidikan, memiliki peran penting dalam mencetak generasi unggul melalui pendekatan holistik yang mengintegrasikan nilai-nilai keislaman dengan sistem pendidikan modern. Artikel ini mengulas kontribusi Muhammadiyah dalam mengembangkan pendidikan berbasis kompetensi, penggunaan teknologi digital, dan implementasi kebijakan nasional seperti Merdeka Belajar Kampus Merdeka (MBKM). Dengan metode penelitian kualitatif berbasis normatif yuridis, penelitian ini menyoroti upaya Muhammadiyah dalam mempersiapkan peserta didik agar mampu bersaing secara global melalui program-program unggulan, seperti beasiswa, penguatan karakter, serta penerapan kurikulum berbasis Outcome-Based Education (OBE). Di sisi lain, tantangan seperti kesenjangan akses pendidikan dan pengaruh globalisasi menjadi isu yang harus diatasi. Namun, Muhammadiyah terus menunjukkan kemampuannya untuk beradaptasi melalui inovasi pendidikan yang berkelanjutan, menjadikannya salah satu pelopor pendidikan yang relevan dengan tuntutan zaman tanpa kehilangan identitas nilai-nilai Islam.
Peran Orang Tua Dalam Mengelola Kecerdasan Emosional Anak Menurut Perspketif Islam
Authors: Zubaidah Zubaidah , Mahmud Salami
Published: February 2025

Kecerdasan emosional merupakan kemampuan manusia dalam menguasai dan mengendalikan diri terhadap hal-hal yang dapat mengakibatkan kerugian diri. Kecerdasan emosional harus diperhatikan sedini mungkin oleh orang tua terhadap anak-anak. Islam menempatkan orang tua pada posisi utama dalam keberhasilan anak. Karena itu peran orang tua dalam periode kehidupan anak sangatlah penting. Orang tua harus memberi kesempatan kepada anak-anak untuk tumbuh dan mengeluarkan ide-ide bagus secara emosional dan spiritual. Salah satu upaya yang dapat dilakukan oleh orang tua untuk membentuk karakter dan kepribadian yang baik kepada anak adalah dengan pola asuh yang tepat dan baik. Orang tua menjadi ujung tombak bagi keberhasilan anak dalam menguasai diri dan mengendalikan emosi. Terlebih lagi dalam ajaran Islam, anak adalah amanah yang ditipkan Allah kepada orang tua, maka selayaknya amanah harus dijaga dan diperhatikan dengan baik, karena itu merupakan tanggung jawab yang telah diberikan oleh Allah Swt kepada setiap orang tua.
Pengembangan Media Pembelajaran Mahȃrah Al-Kitȃbah Melalui Permainan Bahasa Untuk Kelas IV MI
Authors: Munaya Auva , Mukhlisah Mukhlisah
Published: February 2025

Era globalisasi menuntut penguasaan teknologi yang berkembang pesat, termasuk dalam dunia pendidikan. Teknologi mempengaruhi proses belajar mengajar melalui media pembelajaran yang efektif. Tanpa media, pembelajaran cenderung monoton. Begitu pula dalam pembelajaran bahasa Arab, terutama keterampilan Mahȃrah Al-Kitȃbah (menulis), yang sering dianggap sulit oleh siswa. Oleh karena itu, media pembelajaran yang kreatif dan inovatif sangat penting untuk mempermudah proses pembelajaran. Artikel ini memaparkan pengembangan media pembelajaran Mahȃrah Al-Kitȃbah melalui permainan bahasa, salah satunya permainan melengkapi huruf yang hilang. Media ini bertujuan untuk mengubah persepsi siswa, bahwa belajar menulis bahasa Arab itu mudah. Metode yang digunakan adalah penelitian dan pengembangan (R&D) dengan model ADDIE yang terdiri dari lima tahapan: analisis, perancangan, pengembangan, implementasi, dan evaluasi. Hasil penelitian menunjukkan bahwa permainan bahasa dapat meningkatkan keterampilan menulis siswa. Siswa yang awalnya kesulitan dalam menuliskan kosakata bahasa Arab dengan benar, setelah menggunakan media ini, dapat menuliskannya dengan lebih mudah. Media berbasis permainan ini dapat menjadi alternatif efektif dalam mengajarkan keterampilan menulis bahasa Arab.
Machine-learning algorithms in regulatory practice
Authors: Lorenz Lukas , Van Erp Judith , Meijer Albert
Published: February 2025

A growing body of literature discusses the impact of machine-learning algorithms on regulatory processes. This paper contributes to the predomi- nantly legal and technological literature by using a sociological-institutional perspective to identify nine organisational challenges for using algorithms in regulatory practice. Firstly, this paper identifies three forms of algorithms and regulation: regulation of algorithms, regulation through algorithms, and regulation of algorithms through algorithms. Secondly, we identify nine organisational challenges for regulation of and through algorithms based on literature analysis and empirical examples from Dutch regulatory agencies. Finally, we indicate what kind of institutional work regulatory agencies need to carry out to overcome the challenges and to develop an algorithmic regu- latory practice, which calls for future empirical research.
Real-Time Workload Prediction and Resource Optimization for Parallel Heterogeneous High-Performance Computing Systems Architectures
Authors: Aslam Ayesha , Anuarovna Zhumakhanova Darya
Published: February 2025

The rapid advancements in heterogeneous parallel architectures, consisting of CPUs, GPUs, FPGAs, have introduced significant challenges in efficient resource management for high-performance computing systems. Static and heuristic-based approaches fail to address the adaptability required for handling varying workloads and hardware configurations which results in suboptimal performance and energy inefficiency. This research proposes a machine learning-driven adaptive resource management framework that dynamically optimizes task scheduling, resource allocation, and data placement. The framework employs regression models & reinforcement learning algorithms to predict workload behaviors, resource utilization, and task execution times in real time. Experimental results on heterogeneous testbed demonstrate a 21% reduction in task execution time, 18% improvement in energy efficiency, and 38% decrease in fault recovery time compared to conventional methods. These findings highlight the framework’s ability to improve resource utilization while maintaining reliability and minimizing energy overhead. The work advances the field by introducing a unified approach that integrates machine learning for runtime optimization across heterogeneous systems. Practical implications include its applicability to large-scale scientific simulations and deep learning tasks, where adaptive resource management is critical. Future study can focus on enhancing prediction accuracy by advanced deep learning techniques and extending the framework to handle emerging hardware accelerators and edge computing environments.
Signal Characteristic Analysis and Anomaly Detection for GPS Spoofing Mitigation
Authors: Tariq Usman , Tariq Bilal
Published: February 2025

This research addresses the critical issue of GPS spoofing attacks in Vehicular Ad-hoc Networks (VANETs), which pose significant threats to the safety and reliability of intelligent transportation systems. The study investigates effective strategies for detecting, tolerating, and managing these attacks, focusing on the unique challenges presented by the dynamic and distributed nature of VANETs. A novel hybrid machine learning approach, combining Bayesian Networks and a Watchdog Model, was developed to enhance anomaly detection in real-time GPS and network data. The methodology also incorporated advanced cryptographic techniques, signal characteristic analysis, and network intrusion detection systems to create a multi-layered defense mechanism. Experimental results, including data from a live spoofing event, demonstrated the effectiveness of the proposed methodology in accurately identifying and mitigating spoofing attacks, even in complex scenarios. The research findings have significant implications for enhancing the resilience of GPS-enabled VANETs against spoofing threats, paving the way for safer and more efficient transportation systems. Future research directions include refining the measurement models, exploring additional data sources, and developing more sophisticated attack scenarios to further strengthen the security of VANETs.
Knowledge-Driven Hybrid Models for E-Commerce Recommendations and Privacy
Authors: Ullah Asad , Hussain Adil
Published: February 2025

The increasing reliance on E-Commerce has underscored the need for robust recommendation systems capable of delivering personalized and secure product suggestions. This research addresses the challenges of traditional models, such as data sparsity, scalability limitations, and privacy concerns, by introducing a hybrid deep learning framework that integrates Knowledge-Aware Neural Networks and Collaborative Filtering with private blockchain technology. Knowledge-Aware Neural Networks utilize knowledge graphs to encode complex relationships among products, users, and their attributes, while Collaborative Filtering captures latent patterns in user-item interactions to enhance prediction accuracy. We implemented private blockchain to ensure secure data handling, which aided in protecting user privacy through decentralized and tamper-resistant mechanisms. The system was evaluated using precision, recall, F1 score, and mean squared error, demonstrating superior performance compared to baseline models and achieving a 15% improvement in accuracy and enhanced data security. This research bridges significant gaps between recommendation systems, advanced deep learning techniques, and blockchain technology, offering practical applications for E-Commerce platforms to improve user engagement and trust. Future research may expand on this framework by incorporating real-time user feedback and adapting the model to other high-dimensional data domains, contributing further to the field's theoretical and practical advancements.
Cluster Analysis for the Relationship between Mathematical Communication Ability and Student’s Problem-Solving Ability
Authors: Dwitasari Devi , Noor Nik Nur Aimee Widad BT Nik Mohammed
Published: February 2025

This study aims to determine how mathematical communication ability with students' problem-solving ability. This research uses a quantitative approach with correlational methods and cluster analysis. The research was conducted at SMPN 1 Rengasdengklok with the population being all class VIII in the 2023/2024 school year. Determination of the sample in this study using purposive sampling technique, where researchers took samples based on the results of consideration to students who had obtained statistical material. Taking the number of samples in this study using the Slovin formula, 83 samples were used in the study. Data collection techniques in this study used mathematical communication ability test instruments and problem-solving skills. This study uses the k-means clustering analysis technique to divide the data into high, medium, and low categories. And analyzed using the Spearman rank correlation test to determine the level of relationship between the entire sample and each cluster. The results of this study show that in cluster 1 30 students have high ability, in cluster 2 as many as 37 students have medium ability, and in cluster 3 as many as 16 students have low ability. The correlation test results for the entire sample have a significant relationship with a contribution of 37.45%. The correlation test results for cluster 1 do not have a significant relationship with a contribution of 7.4%. The correlation test results in cluster 2 have an insignificant relationship with a contribution of 2.2%. The correlation test results in cluster 3 have an insignificant and unidirectional relationship.
Multiple Exponential Regression Modeling of Dengue Haemorrhagic Fever Factors in West Java Province, Indonesia
Authors: Ridhatusalma Ghina , Diandra Salsabila Putri , Rahma Hasna Nabilah , Pangastuti Sinta Septi , Roslan Nurul Farisah Binti
Published: February 2025

Dengue Haemorrhagic Fever is a major public health problem in Indonesia, with 103,509 cases of Dengue Haemorrhagic Fever recorded in Indonesia until the end year of 2020 with 725 deaths with the case fatality rate of 0.70%, and an incidence rate of 38.15 per 100,000 population. The aim of this research is to determine the multiple exponential regression model for the number of Dengue Haemorrhagic Fever cases and its factors in the West Java Province, Indonesia, at the time period of 2020. This research uses secondary data sourced from Open Data Jabar and Badan Pusat Statistik in the form of the number of the Dengue Haemorrhagic Fever cases in each regency or city throughout the West Java, with the independent variables; the number of poverty rate, the number of healthcare workforces, population density, and number of households with adequate sanitation. The final model from the multiple exponential regression shows that population density has a significant effect on the number of Dengue Haemorrhagic Fever cases in the West Java Province.
Modelling Claim Frequency with Spatial Effects for Accurate Insurance Premium Cost Calculations
Authors: Ibrahim Didymus , Mongare Jared
Published: February 2025

This paper challenges the traditional assumption of independence between claim counts and amounts in non-life insurance. It explores the effectiveness of Generalized Linear Models (GLMs) in analyzing claim frequency data, a key component of accurate premium pricing. The proposed approach utilizes GLMs for both the marginal frequency and conditional severity of claims. Dependence between these factors is introduced by incorporating the number of claims as a covariate in the severity model. This strategy offers ease of implementation and interpretability, particularly when combined with Poisson counts and a log-link function. The resulting pure premium calculation considers the marginal mean frequency, a modified severity, and a dependence correction term. The paper further establishes the importance of spatial factors in claim frequency modelling for insurance businesses. It proposes a novel GLMM with a CAR (Conditional Autoregressive) model to account for these spatial effects. The impact of spatial factors on pure premium calculations is evaluated using simulated claim data.
Exploring Algebraic Properties and the Applications of Chinese Remainder Theorem
Authors: Maharani Saskia Putri , Kurniadi Edi , Sylviani Sisilia
Published: February 2025

This research aims to identify the algebraic properties of the Chinese Remainder Theorem or CRT. Chinese Remainder Theorem is an ancient mathematical theorem that allows the solution of a system of simultaneous equations with different modules and allows the reconstruction of integers within a certain range of remainders modulo to relatively prime modulo. The method used in this research is literature study. This theorem allows for efficient processing and manipulation of integers with very large sizes. The proof of the theorems in Chinese Remainder Theorem is also presented in this research.
Online fællesskaber mod vold
Authors: Rysberg Bay Betina , Bjerregaard Ditte
Published: February 2025

Online fællesskaber mod vold
Anmeldelse: Hanne Overgaard Mogensen og Steffen Jöhncke: Antropologien på arbejde
Authors: Jensen Tina Gudrun
Published: February 2025

Anmeldelse: Hanne Overgaard Mogensen og Steffen Jöhncke: Antropologien på arbejde
English Summaries
Authors: Madsen My
Published: February 2025

english summaries
Call for papers: Energi
Authors: Madsen My
Published: February 2025

Call for papers: Energi
Prototype kendali kelembapan budidaya jamur tiram berbasis iot (internet of things)
Authors: Aso Adryansa , Sahbudin  , Baco Syarifuddin , El Fazza Fachri
Published: February 2025

Jamur tiram adalah berupa jamur kayu yang mempunyai banyak manfaat untuk kesehatan dan banyak diminati orang. Dalam budidaya jamur tiram ini petani   sering mengalami kesulitan dalam mengatur suhu dan kelembaban pada kumbung jamur karena nilainya yang selalu berubah ubah jadi petani harus sering bolak balik ke tempat budidaya jamur untuk melakukan pengecekan suhu dan kelembaban pada kumbung jamur. Tujuan peneliti membuat sebuah alat kendali kelembapan budidaya jamur tiram berbasis Iot guna membantu petani jamur mengontrol kelembapan kumbung jamur dan mampu memberikan informasi kelembapan suhu pada kumbung jamur yang lebih akurat. Metode yang digunakan adalah Research and Development dimana menghasilkan serta menguji keefektifan produk. Hasil penelitian alat menggunakan mikrokontroler terdiri dari dua proses yaitu input dan output, dimana pada saat sensor mendeteksi suhu dan kelembapan tidak sesuai maka mikrokontroler akan memproses data dan memberikan perintah kepada nano spray, pompa air dan kipas menstabilkan suhu dan kelembapan pada kumbung jamur, LCD besrta blynk akan menempilkan suhu dan kelembapan pada kumbung jamur. Kesimpulan alat kendali kelembapan dapat bekerja sesuai konsep dasar yang telah dibuat.
Implementasi Sistem Deteksi Keaslian Dan Identifikasi Nominal Uang Kertas Untuk Tunanetra Berbasis Ardiuno Mega
Authors: Haerul  , Fajri Muh , Sukirman  , Sajiah
Published: February 2025

Haerul 19024014092 dan muh. Fajri 18024014083. Implementasi sistem deteksi keaslian dan identifikasi nominal uang kertas untuk tunanetra berbasis ardiuno mega, di bawah bimbingan Sukirman, S.Pd., M.TI dan Sajiah, S.Pd., M.Pd.
Perkembangan teknologi saat ini hampir sebagian besar menyentu seluruh sisi kehidupan manusia, dalam kehidupan sehari-hari teknologi sangat memiliki peran yang sangat penting, tetapi dibalik semua itu peranan teknologi bisa berdampak merugikan apabilah ditangan orang yang tidak tepat, contohnya oknum yang mampu membuat dan mendesain barang ilegal semirip mungkin dengan aslinya sehingga banyak pengguna yang dirugikan. Tujuan dari penelitian ini adalah membuat dan mengimplementasikan sistem deteksi keaslian dan identifikasi nominal uang kertas untuk tunanetra berbasis ardino mega sehingga bisa lebih meminimalisir kecurangan dan kerugian yang tidak diinginkan.
Penelitian ini menggunakan metode metode Research and Development (R&D) yang dirancang untuk mengetahui mengimplementasikan sistem pendeteksi keaslian dan nominal uang kertas berbasis arduino mega. Teknik pengumpulan data dengan observasi, wawancara dan dokumentasi. Berdasarkan hasil penelitian maka didapatkan Perancangan alat pendeteksi keaslian dan nominal uang kertas telah berhasil  di rancang menggunakan mikrokontroler dengan beberapa komponen tambahan lainnya seperti push button, catu daya, sensor UV, sensor warna, LCD, speaker. Implementasi sistem pendeteksi keaslian nominal uang kertas berdasarkan hasil pengujian secara menyeluruh menunjukkan bahwa sistem berjalan dengan baik, sensor UV dan sensor warna bekerja untuk mendeteksi adanya uang kertas dengan jarak pembacaan uang kertas didepan permukaan sensor motor DC dan LCD menampilkan  informasi keaslian dan nominal uang kertas, begitupun dengan speaker akan menyebutkan keaslian dan nominal uang kertas apabila uang kertas itu asli atau palsu.
Wybór prawa jako klauzula abuzywna w umowach konsumenckich zawieranych przez Internet
Authors:   Katedra Prawa Cywilnego i Prawa Prywatnego Międzynarodowego WPiA UŚ, Jagielska Monika , Kunkiel-Kryńska Aleksandra ,   Wierzbowski Eversheds
Published: February 2025

W umowach konsumenckich zawieranych przez Internet (z elementem międzynarodowym)
zwiększa się ryzyko trudności z ustaleniem prawa właściwego, a w razie sporu na tle umowy
z przedsiębiorcą zagranicznym, konsument może napotkać także trudności natury proceduralnej.
Ponadto, może okazać się, że zastosowane prawo nie zapewnia konsumentowi takiej ochrony,
jaką miałby w miejscu swojego zwykłego pobytu. Problematyka ta była przedmiotem rozważań
Sądu Najwyższego, który w wyroku z dnia 17 września 2014 r., (Sygn. akt I CSK 555/13), orzekł,
że zamieszczenie we wzorcu umowy konsumenckiej postanowienia przewidującego zastosowanie
prawa obcego dla konsumenta, a właściwego dla twórcy wzorca, stanowi klauzulę niedozwoloną
w rozumieniu art. 3851 § 1 k.c. Wyrok ten skłania do pytania, czy w relacjach B2C (business to
consumer) w praktyce dochodzi do wyłączenia możliwości wyboru prawa.
Stosowanie ustawy o prawach konsumenta na rynku energii elektrycznej
Authors:   Katedra Prawa UE Katowic, Czarnecka Marzena
Published: February 2025

Artykuł prezentuje wybrane kwestie związane z obowiązkami ciążącymi na przedsiębiorcach energetycznych
w świetle ustawy o prawach konsumenta. Rozważania przedstawione w niniejszym
artykule służą ustaleniu, jakie obowiązki informacyjne względem konsumentów zostały nałożone
na przedsiębiorców energetycznych. Konsumenci są często zdezorientowani w gąszczu rozmaitych
informacji, a tym samym konkurencyjnych ofert. Odbiorcy w gospodarstwach domowych
powinni mieć jasne i przejrzyste informacje, które pozwolą im na podejmowanie świadomych
decyzji w zakresie energii elektrycznej.
New obligations for energy market participants arising from the MAR Regulation
Authors: Hawranek Paweł , Michalski Dariusz ,   Akademia Techniczno-Humanistycznej w Bielsku Białej, Wielgosz Nina ,   Akademia Techniczno-Humanistyczna w Bielsku Białej
Published: February 2025

W artykule podjęto próbę przybliżenia obowiązków, jakie w zakresie handlu derywatami towarowymi
nakłada na spółki obrotu rozporządzenie MAR. Poruszono w nim kwestię wpływu rozporządzenia
MAR na rynek towarowy i relacji tego rozporządzenia do pozostałych regulacji mających wpływ
na rynek energii i gazu (REMIT, EMIR, MiFID II). Przedstawiono wątpliwości i konsekwencje skut-
ków tak ukształtowanego zakresu przedmiotowego regulacji. Zasygnalizowano także zagadnienia
związane z planowanym harmonogramem wdrażania rozporządzenia MAR, jak również wyzwania
dla podmiotów działających na rynku energii.
Which Dimensions of Entrepreneurial Orientation Drive Firm Performance in Hostile Environments? Lessons From the Pandemic Crisis
Authors:   Faculty of Management, AGH University of Krakow, Poland, Suder Marcin
Published: February 2025

Purpose: This study aims to analyze the roles of dimensions of entrepreneurial orientation (EO) – risk- -taking, proactiveness, and innovativeness – within the context of a crisis. Specifically, it evaluates the perspectives of entrepreneurs and managers regarding the impact of these dimensions on firm performance in the hostile environment created by the COVID-19 pandemic. The study adopts a unique perspective, focusing on retrospective assessments by entrepreneurs and managers rather than traditional econometric measurement techniques.

Design/methodology/approach: A quantitative study was conducted, collecting data from 145 owners, managers, and supervisors of small companies in the printing industry in Poland. Respondents assessed the impact of the three EO dimensions on firm performance during the crisis, with each dimension evaluated across multiple aspects and indicators. Unlike traditional approaches, this method relied on subjective, retrospective experiences and evaluations of entrepreneurs and managers, rather than predefined constructs or statistical models.

Findings: The results indicate that, in the hostile environment of the pandemic, two of the three EO dimensions, that is, proactiveness and innovativeness, were perceived by entrepreneurs and managers as significant factors mitigating the crisis’s impact on firm performance. On the contrary, risk-taking was not identified as a significant contributor in this context. These findings highlight the importance of specific entrepreneurial behaviors in uncertain and disruptive conditions.

Practical implications: The study provides practical guidance for business owners and managers operating in crisis environments. Proactiveness and innovativeness should be considered critical entrepreneurial strategies to enhance resilience and firm performance. Moreover, the findings emphasize the value of leveraging crisis experiences to make future entrepreneurial decisions in in hostile environments.

Originality/value: This study contributes to the literature on entrepreneurial orientation by introducing a novel methodological approach based on subjective evaluations of EO dimensions during a crisis. By addressing the gap in ex-post assessments of entrepreneurial behaviors under hostile conditions, this research provides both practical and theoretical insights into how EO can support firms in effectively navigating crises.
Indoor Air Quality Monitoring in Akure, Ondo State, Nigeria
Authors: Olawale Abulude Francis , Ratford Vincent , Ratford Jay , Seelam Raj , Akinnusotu Akinyinka , Victoria Olayinka Yemisi , Mabinuola Arifalo Kikelomo , Adamu Ademola , Johnson Bello Lateef
Published: February 2025

Using the Canāree A1, a low-cost monitoring device made by Piera System, Canada, variations in Particle Count (PC) and Particulate Matter were observed in a building residence of five rooms in Akure, Nigeria (two living rooms, two bedrooms, and one kitchen) in both January and February 2022. The average PM2.5 and PM10 levels in all rooms were above the World Health Organization (WHO) guidelines for 2021, which were: PM2.5 - Annual (5 µg/m3), 24 h (15 µg/m3), and PM10 - Annual (15 µg/m3), 24 h (45 µg/m3). Rooms A (the first sitting room) and C (the kitchen) were found to have greater PC and PM values than the other rooms. Room A had the greatest PC1.0 level, however, PC5.0 was also discovered to be high. Based on the volume of activities, PM10, PM5.0, and PM2.5 were the main air pollutants in Akure. These results indicate considerable effects from both indoor and outdoor activity, two key sources. During the duration of the study, certain residents of the building frequently complained of having a cough, a running nose, and other ailments. These results indicate considerable impacts from both indoor as well as outdoor activities. During the duration of the study, certain residents of the residence often reported having a cough, a running nose, and other ailments.
Therapeutic Options for the Treatment of Community-Acquired Pneumonia Caused by Streptococcus Pneumoniae
Authors: Krehić Jasmina
Published: February 2025

Streptococcus pneumoniae is the most common cause of community acquired pneumonia, acute otitis media, meningitis and other infections, asymptomatic colonizing nasopharynx of healthy children and adults. Since late 1970s there has been a steady decline in the susceptibility of Streptococcus pneumoniae to various groups of antibiotics.The number of antibiotic-resistant pneumococcal infections has decreased due to the success of the pneumococcal conjugate vaccine. In addition to vaccination, guidelines for treatment of pneumococcal disease are developed by various professional and scientific associations, intending to slow or reverse drug-resistant pneumococcal infections. The aim of this work is to provide a generated information about therapeutic options for the treatment of community-acquired pneumonia caused by Streptococcus pneumoniae, based on the recommendations and statements from various guidelines developed by different proffesional and scientific associations but limited on drugs available on the market in Bosnia and Herzegovina.
Impact of Artocarpus lakoocha heartwood extract and Oxyresveratrol on cholesterol digestion and absorption in Caco-2 cell cultures
Authors: Trisat Kanittaporn , Limpeanchob Nanteetip
Published: February 2025

Cardiovascular diseases are the leading causes of death globally, with hypercholesterolemia being a major contributing factor. While lifestyle changes and dietary modifications are recommended for individuals with moderately high cholesterol, there is growing interest in natural alternatives to help manage blood cholesterol levels. Oxyresveratrol has shown promising antihyperlipidemic properties in animal studies. However, the mechanisms underlying these effects are not fully understood. This study focuses on the direct effects of oxyresveratrol and Puag-Haad, an aqueous extract from the heartwood of Artocarpus lakoocha, on lipid and cholesterol processing in the intestinal tract. The study assessed the inhibitory effects on pancreatic lipase, solubility of cholesterol in lipid micelles, bile acid binding, and absorption of cholesterol into differentiated Caco-2 cells. The results showed that both oxyresveratrol and Puag-Haad exhibited a dose-dependent inhibition of pancreatic lipase. Both compounds also effectively inhibited cholesterol solubility in lipid micelles. Puag-Haad in particular bound to bile acids with higher potency than the standard bile acid binder, cholestyramine. In addition, oxyresveratrol and Puag-Haad inhibited cholesterol uptake into Caco-2 intestinal cells, with efficacy comparable to the cholesterol absorption inhibitor ezetimibe. These findings indicate that oxyresveratrol and Puag-Haad interfere with multiple processes involved in lipid digestion and absorption, making them promising candidates for further development as natural antihyperlipidemic agents.
Utilizing secretomes as a novel molecular-based therapy for Parkinson’s disease: A scoping review
Authors: Hutabarat Ervina Arta Jayanti , Suroto Suroto , Soetrisno Soetrisno , Mirawati Diah Kurnia , Pamungkasari Eti Poncorini , Wasita Brian
Published: February 2025

Parkinson’s disease (PD) is a neurodegenerative disorder that affects multiple body systems and results in a variety of motor and non-motor symptoms. Recent research has highlighted the importance of secretome, a diverse array of bioactive molecules produced by mesenchymal stem cells (MSCs). This study explores the progress and potential benefits of secretome use in treating PD. A scoping review was conducted following the Preferred Reporting Items for Scoping Reviews protocol, utilizing journals from PubMed Central, ScienceDirect, and Scopus databases with no time restrictions. The findings suggest that secretome shows promise in developing new therapies for PD, particularly due to its superior antioxidant, neuroprotective, and neurodifferentiation effects on dopaminergic neurons compared to MSCs. These effects have been linked to notable improvements in motor, behavioral, and morphological changes. However, for secretome therapy to be effectively implemented in human patients with PD, factors such as production stages, release mechanisms, and administration routes require further investigation.
Development of tablet formulations containing genistein solid dispersion optimized using Box-Behnken design for enhanced solubility
Authors: Phanapithakkun Suranate , Yusakul Gorawit , Sitthisak Chanakan , Plyduang Thipapun
Published: February 2025

Genistein, a bioactive isoflavone, offers therapeutic potential but is hindered by poor water solubility, limiting its oral bioavailability. This study aimed to enhance genistein’s solubility by developing solid dispersion (SD) and formulating them into tablets. The SDs were prepared using the solvent evaporation method with polyethylene glycol 4000, poloxamer 407, and crospovidone (XPVP) as carriers. A Box-Behnken design optimized the formulation, yielding a significant increase in solubility to 181.12 μg/ml, closely matching the predicted value. Characterization studies, including differential scanning calorimetry, attenuated total reflectance-Fourier transform infrared spectroscopy, and powder X-ray diffraction, confirmed the conversion of genistein from a crystalline to an amorphous state without interaction with carriers, contributing to improved solubility and dissolution profile. The optimized genistein-SD was further developed into tablets, demonstrating effective drug release. Genistein-SD tablets containing XPVP showed faster disintegration and higher genistein release than those with sodium starch glycolate. Stability testing under long-term and accelerated storage conditions confirmed the retention of genistein content (≥96.61%) over 3 months in both the optimized genistein-SD and genistein-SD tablets. These tablets offer a promising genistein oral delivery approach, supporting further pharmaceutical development.
Allosteric inhibition of trypanosomatid pyruvate kinases by a camelid single-domain antibody
Authors: Pinto Torres Joar Esteban , Claes Mathieu , Hendrickx Rik , Yuan Meng , Smiejkowska Natalia , Van Wielendaele Pieter , Hacisuleyman Aysima , De Winter Hans , Muyldermans Serge , Michels Paul A , Walkinshaw Malcolm D , Versées Wim , Caljon Guy , Magez Stefan , Sterckx Yann G.-J
Published: February 2025

African trypanosomes are the causative agents of neglected tropical diseases affecting both humans and livestock. Disease control is highly challenging due to an increasing number of drug treatment failures. African trypanosomes are extracellular, blood-borne parasites that mainly rely on glycolysis for their energy metabolism within the mammalian host. Trypanosomal glycolytic enzymes are therefore of interest for the development of trypanocidal drugs. Here, we report the serendipitous discovery of a camelid single-domain antibody (sdAb aka Nanobody) that selectively inhibits the enzymatic activity of trypanosomatid (but not host) pyruvate kinases through an allosteric mechanism. By combining enzyme kinetics, biophysics, structural biology, and transgenic parasite survival assays, we provide a proof-of-principle that the sdAb-mediated enzyme inhibition negatively impacts parasite fitness and growth.
RCE-IFE: recursive cluster elimination with intra-cluster feature elimination
Authors: Kuzudisli Cihan , Bakir-Gungor Burcu , Qaqish Bahjat , Yousef Malik
Published: February 2025

The computational and interpretational difficulties caused by the ever-increasing dimensionality of biological data generated by new technologies pose a significant challenge. Feature selection (FS) methods aim to reduce the dimension, and feature grouping has emerged as a foundation for FS techniques that seek to detect strong correlations among features and identify irrelevant features. In this work, we propose the Recursive Cluster Elimination with Intra-Cluster Feature Elimination (RCE-IFE) method that utilizes feature grouping and iterates grouping and elimination steps in a supervised context. We assess dimensionality reduction and discriminatory capabilities of RCE-IFE on various high-dimensional datasets from different biological domains. For a set of gene expression, microRNA (miRNA) expression, and methylation datasets, the performance of RCE-IFE is comparatively evaluated with RCE-IFE-SVM (the SVM-adapted version of RCE-IFE) and SVM-RCE. On average, RCE-IFE attains an area under the curve (AUC) of 0.85 among tested expression datasets with the fewest features and the shortest running time, while RCE-IFE-SVM (the SVM-adapted version of RCE-IFE) and SVM-RCE achieve similar AUCs of 0.84 and 0.83, respectively. RCE-IFE and SVM-RCE yield AUCs of 0.79 and 0.68, respectively when averaged over seven different metagenomics datasets, with RCE-IFE significantly reducing feature subsets. Furthermore, RCE-IFE surpasses several state-of-the-art FS methods, such as Minimum Redundancy Maximum Relevance (MRMR), Fast Correlation-Based Filter (FCBF), Information Gain (IG), Conditional Mutual Information Maximization (CMIM), SelectKBest (SKB), and eXtreme Gradient Boosting (XGBoost), obtaining an average AUC of 0.76 on five gene expression datasets. Compared with a similar tool, Multi-stage, RCE-IFE gives a similar average accuracy rate of 89.27% using fewer features on four cancer-related datasets. The comparability of RCE-IFE is also verified with other biological domain knowledge-based Grouping-Scoring-Modeling (G-S-M) tools, including mirGediNET, 3Mint, and miRcorrNet. Additionally, the biological relevance of the selected features by RCE-IFE is evaluated. The proposed method also exhibits high consistency in terms of the selected features across multiple runs. Our experimental findings imply that RCE-IFE provides robust classifier performance and significantly reduces feature size while maintaining feature relevance and consistency.