bluuebunny/crossref_metadata_2025 huggingface dataset:
Il corpo del crimine
Authors: Bubba Angela
Published: February 2025

L’article est consacré à l’affaire Stefano Cucchi, le trentenaire tué par deux carabiniers à Rome en 2009, pendant sa garde à vue. Le texte analysera la transposition au cinéma de cette histoire, c’est-à-dire le film Sur ma peau réalisé en 2018 par Alessio Cremonini. Avec ce travail de recherche on montrera à quel point, en plus de poursuivre l’objectif implicite de dénoncer, l’œuvre enquête sur cet événement en prenant en considération l’univers psychologique du protagoniste, qui est aussi représenté en prêtant une attention particulière à la scénographie, notamment du point de vue des couleurs. À travers le paradigme fondamental de la figure du Christ, seront également explorés les liens entre Sur ma peau et le roman Le procès de Franz Kafka. Finalement, en gardant toujours à l’esprit l’affaire Cucchi, on réfléchira à la métaphore ancienne et pourtant toujours très actuelle de l’État en tant que corps.
Developing and Applying PCK in Diverse Subjects
Authors: Vettriselvan R. , Rajesh Deepa , Subhashini S. , Gajalakshmi K. , Sakthivel R.
Published: February 2025

This chapter explores how in-service teachers can effectively develop and apply Pedagogical Content Knowledge (PCK) across various subjects—mathematics, science, social sciences, and language arts. PCK, which merges subject matter expertise with tailored teaching strategies, is crucial for enhancing educational outcomes. The chapter reviews current trends and best practices in PCK development, offering practical approaches for integrating effective pedagogical techniques with subject-specific content. It provides actionable insights into how educators can adapt their methods to address the unique challenges of each discipline, thus improving instructional practices and student engagement. By focusing on innovative strategies and real-world applications, this chapter serves as a comprehensive guide for teachers aiming to refine their PCK and elevate their teaching effectiveness.
Mapping the Growth of Pedagogical Content Knowledge Across Teaching Careers
Authors: Ravichandra Thangjam , Mariappan M. , Padmaja C. V. , Barnikana Narasinga Rao , Saravanan T. , Boopathi Sampath
Published: February 2025

This chapter of the book presents how pedagogical content knowledge among teachers undergoes changes throughout their careers. The authors try to trace how this kind of expertise develops and finally impacts teaching practices. By analyzing data on a longitudinal basis, case studies will be made in order to realize how PCK develops among teachers from the initial VET stage into the entire life career history of a teacher, mainly focusing on key factors that might lead to its development. It discusses how professional development, reflective practice, and classroom experience work to improve PCK and how these are changed with the changes in educational contexts and student needs. The chapter provides insights into the mechanisms by which PCK deepens, offering practical recommendations for educators and policymakers in supporting ongoing professional growth. It thus illuminates the dynamics of teaching expertise and its implications for teacher education and the quality of instruction.
Developing Science Pedagogical Content Knowledge (PCK) Among Preservice and Novice Elementary Teachers
Authors: Watson Sandy White
Published: February 2025

In this chapter, the author focuses on elementary-level practicing and pre-service teachers' development of pedagogical content knowledge (PCK), beginning with the state of U.S. students' science performance, and science instruction in elementary school settings. The historical development of studies related to teachers' knowledge forms (content, pedagogical, and pedagogical content) are explored individually, along with an investigation of models of PCK, PCK specific to teaching science, and studies on strategies for facilitating PCK development among elementary teacher candidates and in-service teachers.
Current Trends and Best Practices of How In-Service Teachers Can Develop and Apply PCK in Social Sciences
Authors: Maun Deepak , Sharma Parth , Hung Ta Huy
Published: February 2025

Pedagogical Content Knowledge (PCK) is pivotal in advancing social sciences education by combining deep subject expertise with effective teaching practices. This paper explores current trends and best practices in developing and applying PCK, such as project-based learning, flipped classrooms, and service learning. It examines challenges including limited professional development, inadequate resources, and resistance to change, and identifies future directions such as leveraging advanced technology, fostering interdisciplinary approaches, and expanding community partnerships. By addressing these barriers and embracing emerging opportunities, educators can enhance instructional quality and student engagement. This study highlights the importance of continuous refinement and adaptation in teaching strategies to meet diverse student needs and prepare them for a dynamic world.
A Basic Toolkit for Instructional Design by AI in Elementary Level Teaching
Authors: Türkmen Gamze , Sözen Özdoğan Sinem
Published: February 2025

Reporting pathways between instructional design and specific AI models for elementary education is considered highly valuable for the educational field, based on recent developments. Therefore, the aim of this study is to provide an instructional design practice guide for elementary school teachers. Drawing on the capabilities of current educational AI models and the most frequently requested areas of support in instructional design, sample practices were provided as part of in-service teacher training. Four AI tools were selected based on their availability and usability for anyone with internet access. These tools were integrated into the teachers' instructional practices. Ultimately, teachers can utilize educational AI models in every aspect of their instructional design at the elementary level.
Slow and Connected
Authors: Hsiao Ya Ping , Wolff Charlotte Elize , Rajagopal Kamakshi
Published: February 2025

This chapter explores the integration of generative artificial intelligence (GenAI) as an innovative educational technology using the framework of slow and relational pedagogy. It proposes a deliberate instructional design aimed at decelerating student learning behaviors to foster deeper engagement with critical thinking about oneself, peers, and instructors. The chapter begins with a scoping review to survey didactic approaches relevant to both slow and relational pedagogy. The research synthesis emphasizes strategies such as reducing the quantity of tasks while increasing the time allocated for them, focusing more on the learning process rather than the final product, and balancing solitary work with collaborative efforts. Building on these insights, the chapter develops an instructional design using a conjecture map (Sandoval, 2014), which includes a hypothesis, design features, embodiments (interventions), mediating processes, and outcomes. This design aims to create a learning environment where students engage in attentive and collaborative thinking with the aid of GenAI.
Future of Education Using Adaptive AI, Intelligent Systems, and Ethical Challenges
Authors: Yambal Sucheta , Waykar Yashwant Arjunrao
Published: February 2025

AI-driven adaptive learning, intelligent systems, and ethical issues will transform education. AI adaptive learning systems adjust content, pace, and feedback based on student performance and learning preferences. These technologies provide highly tailored education, student engagement, and scalable learning solutions across multiple contexts. Virtual tutors and automated grading systems are projected to minimize administrative workloads for teachers, allowing them to focus on creative instruction. Data privacy, algorithmic discrimination, and the possible loss of human engagement in learning are ethical concerns with AI in education. As AI becomes more prevalent in education, equitable access, data security, and openness in algorithmic decision-making are needed. Using AI to overcome these challenges may lead to a more efficient, inclusive, and ethical education system.
Assessment in Higher Education in the Age of Artificial Intelligence
Authors: Chakabwata William
Published: February 2025

Artificial Intelligence (AI) is taking over the operations of universities globally because of the multiple benefits associated with it which include transparent forms of assessment, immediate feedback to students and a reduced workload on the part of the instructors. There are also challenges that are associated with the use of AI, such as unethical practices which may undermine academic rigour and integrity. A number of theories are employed in this chapter which includes statistical modelling, Unified Theory of Acceptance and Use of Technology, (UTAUT) and Evidence Based Learning (EBL). The chapter presents a case for Africa to adopt AI in a conscientious way in order to meet the Sustainable Development Goal No 4, of providing quality and inclusive education. The opportunities for using AI in assessment in higher education are explored as well as the constrictions that Africa faces in transitioning to this form of technology.
Using ChatGPT to Deconstruct K-12 Student Learning Outcomes for Developing Assessments and Rubrics
Authors: Bolton Natalie A.
Published: February 2025

This chapter explores the utilization of ChatGPT, an artificial intelligence (AI) language model, in deconstructing K-12 content standards or Student Learning Outcomes (SLOs) to facilitate the development of assessments and rubrics following Rick Stiggins' deconstructing standards process. Sections of the chapter explore understanding ChatGPT and its educational applications, detailing Stiggins' deconstructing standards process and providing scenarios for deconstructing learning standards. Further, the chapter delineates the flexibility in deconstructing standards and steps for application, leveraging ChatGPT for SLO deconstruction, developing assessments and rubrics, offering examples, and discussing the implications of AI integration in education. The chapter aims to equip educators with insights and practical guidance to enhance assessment practices, fostering well-rounded student development.
Generative Artificial Intelligence and Assessment of Learning
Authors: Kaddouri Mehdi , Mhamdi Khalid , Jabri Abdelhafid , Boukare Mohamed , Jmad Sabrine
Published: February 2025

This chapter explores the transformative potential of Generative Artificial Intelligence (GAI) in educational assessment, examining its impact on learners, educators, and educational institutions. Through a comprehensive literature review and analysis of existing GAI-based assessment systems, we investigate how GAI is reshaping traditional assessment practices, enabling more personalized, adaptive, and continuous evaluation of student learning. The chapter discusses the major challenges and opportunities associated with GAI, including issues of data privacy, fairness, and the evolving role of educators. We also examine concrete examples of GAI applications in assessment, such as adaptive learning platforms and automated grading systems. The chapter concludes by outlining future research directions and considering the ethical implications of widespread GAI adoption in education. While GAI offers opportunities for enhancing educational assessment, its implementation requires careful consideration of ethical, pedagogical, and technical challenges
Engaging in SoTL Through Faculty Learning Communities
Authors: Rahimi Regina , Soares Lina Bell
Published: February 2025

In the spirit of the scope of this book, this chapter highlights the potential impact collaborative faculty work can have on course design and pedagogy for online graduate students. The chapter describes the development and implementation of a faculty learning community (FLC) engaged in discussions centered on “small teaching practices” and the knowledge gleaned from the collaborative experience that will inform our practice. Emphasizing collaborative faculty engagement, our Scholarship of Teaching and Learning (SoTL) project has sought to strengthen our online graduate students' learning experiences and support their learning needs.
Board Structure and Sustainability Performance
Authors: Aksu Ayfer , Şener İrge , Varoğlu A. Kadir
Published: February 2025

The adoption of the innovative perspective of Industry 5.0 at the highest level in organizations is important for ensuring sustainability in every field and the board of directors' role becomes increasingly important in improving companies' sustainability performance. This chapter first presents the theoretical and conceptual background of Industry 5.0 and sustainability, the role of boards of directors in sustainability, and corporate sustainability reporting. Then, the findings of an empirical study that examine the impact of board structure on companies' sustainability performance are presented. The study aims to contribute by revealing which characteristics of companies' boards of directors positively impact sustainability performances of the companies. The data from 166 manufacturing firms listed on Borsa Istanbul have been used in the research. Findings suggest that both the size of the board and the presence of women on the board have a positive impact on sustainability performance.
Blended EFL Listening
Authors: Lai Zola Chi-Chin
Published: February 2025

This study examined the impact of a blended teaching approach versus traditional instruction on listening comprehension and strategy use among EFL students in a Taiwanese university. Using a quasi-experimental design, 103 low-intermediate students were divided into experimental (n=52) and control (n=51) groups over 18 weeks. The experimental group engaged in pre-class activities (audio, quizzes, videos) and collaborative in-class tasks, while the control group received traditional instruction. Results showed the experimental group had significantly greater listening improvement (mean increase: 10.26 vs. 5.00 points) and higher metacognitive and social/affective strategy use. Additionally, 84% reported increased listening confidence. Findings highlight the effectiveness of blended learning in enhancing EFL listening skills.
Account of Spatio-Temporal Characteristics in Customs Anti-Smuggling Intelligence Acquisition
Authors: Yang Zhanhai , Wang XuAn , Qiu Mingyue , Hou Senlin , Wu Yuqiang
Published: February 2025

The related information on smuggling crimes exists extensively in various media, with multiple data sources. Anti-smuggling intelligence faces the contradiction between the explosive growth of data size and high-efficiency intelligence judgment. Considering the current characteristics of smuggling activities, it is urgent to obtain knowledge from multi-source case data. Aiming to explore a smuggling knowledge acquisition algorithm based on deep learning, this study proposed an anti-smuggling knowledge representation model with both temporal and spatial characteristics and a knowledge-driven anti-smuggling intelligent judgment method. By combining two means, data, information, knowledge, and intelligence were effectively fused via the Term Frequency-Inverse Document Frequency (TF-IDF) technique and Levenshtein distance algorithms, promoting deep mining and application of anti-smuggling big-data resources and enhancing both automation and intelligence levels in anti-smuggling intelligence judgment.
Water Supply for Lawas Community: Investigating Demand and Enhancing Distribution Efficiency
Authors: Lah Zara Elena Sharon , Bolong Nurmin
Published: February 2025

The Lawas community in Sarawak, especially in the town area, heavily depends on treated water from the Trusan Regional Water Treatment Plant (WTP) for daily water needs. However, the hilly and remote areas face several challenges, such as deteriorated water distribution, inadequate supply, and low water pressure. These issues are worsened by the increasing number of new water meter connections each year and the difficulties in supplying water to remote areas. As a result, there have been more complaints to water authorities from the community due to the impact on their essential survival needs. This study aims to comprehensively investigate, analyse, and assess water demand and residual water pressure to determine if the current water supply is sufficient for the population in Lawas. By utilising population data from the 2022 Lawas District Office and recent water pressure measurements obtained using a Pressure Gauge and Prime Log, along with water flow data collected using a Portable Ultrasonic Flow Meter (PT900), Electromagnetic Flow Meter, and Insertion Flow Meter, this research identifies the factors contributing to the inadequacy of water demand. The recommended solutions optimise water pressure and flow to ensure reliable data for future operations and maintenance. These findings provide a reference for designing an efficient water distribution system and promoting optimised water usage tailored to specific areas based on their needs.
Analysis of Soil Fertility and Heavy Metals Contamination on Post- Mining Laterite Nickel Southeast Sulawesi, Indonesia
Authors: Tonggiroh Adi , Pachri Hendra , Mustafa Muhardi
Published: February 2025

The aim of this study was to assess soil fertility and heavy metal contamination in soil on reclaimed land in two sample areas. Area R1, trees are difficult to grow and R2, trees can grow. This investigation was conducted to reveal the level of soil fertility, concentration and enrichment of various heavy metals in contaminated soil. Twenty-two samples, twelve sampling positions in R1 and ten sampling positions in R2. Inductive study combined ICP-MS (Inductively Coupled Plasma Mass Spectrometry) and ICP-OES (Inductively Coupled Plasma-Optically Emission Spectrometry) methodologies to determine the concentration levels of Cu, Pb, Zn, Ni, Co, Mn, As, Cd and Cr. A total of four R1 soil samples and four R2 soil samples were measured by XRD to determine the mineralogy and study the flame emission photometry method, extraction and Walkley-Black to determine the soil physicochemistry: texture, pH, K+, Na+, Ca, Mg, Available Phospor, K, organic carbon, base saturation and cation exchange capacity (CEC). Correlation coefficient analysis and cluster analysis, coupled with principal component analysis, were used to analyze the data and to identify possible sources of these heavy metals. Overall, the levels of heavy metal enrichment are arranged in the following EF order: Cr R1 < Cr R2 ; Mn R1 > Mn R2; Zn R1= Zn R2. Heavy metals Mn, Cr, Co, Ni generally exceed moderate pollution and even strong pollution (2 < Igeo < 3; 3 < Igeo < 4; 5 < Igeo), and Zn, Cu low to moderate pollution levels (0 < Igeo < 1; 1 < Igeo < 2), but Pb, Cd, As low pollution levels (0 < Igeo). The results showed that the difficulty of tree growth in all places in R1 was indicated by the physicochemical properties of soil texture and CEC which were in line with mineralogy in influencing soil fertility and even distribution of heavy metals. Compared to R2, the presence of tree growth was related to a positive correlation between soil texture and organic carbon which played an important role in fertilizing the soil and mineralogy support to control the uneven distribution of heavy metals.
Teledermatology: Canadian dermatologists’ practice patterns, perceived challenges and future recommendations
Authors: Sarfaraz Sidra , Turk Tarek , Lowe Samuel A. J. , Verma Luvneet , Dytoc Marlene
Published: February 2025

The use of teledermatology has increased significantly in recent years. The objective of this study was to determine Canadian dermatologists’ and dermatology residents’ perspectives on teledermatology. An online survey was created to determine participants’ teledermatology practice patterns and their perception of the challenges, education, training, and research in teledermatology. The survey was distributed through the Canadian Dermatology Association and by administrative staff at Canadian Dermatology departments. There were 33 respondents: 66.7% of respondents started using teledermatology during the COVID-19 pandemic, and 93.8% reported that teledermatology accounted for 0-25% of their practice. Convenience, access, and safety were identified as the primary advantages of teledermatology. Teledermatology was mainly utilized for medication monitoring or refills and to assess, manage, or follow up on dermatitis, other chronic inflammatory conditions, and pre-diagnosed dermatologic conditions. Poor photo quality (32.3%) and the inability to conduct physical examinations or accurately diagnose conditions (74.2%) were reported as significant challenges. Respondents recommended education on the medicolegal considerations of teledermatology and research on how teledermatology compares to in-person consultations. Overall, teledermatology offers convenience, access, and improved safety for patients and healthcare professionals. However, addressing challenges related to physical examinations, accurate diagnoses, and photo quality is essential for optimal care delivery.
Predictors of cerebrospinal fluid GeneXpert MTB/RIF positivity in patients with tuberculous meningitis: A prospective cohort study
Authors: Gupta Priyanka , Kumar Neeraj , Garg Ravindra Kumar , Malhotra Hardeep Singh , Rizvi Imran , Verma Rajesh , Sharma Praveen Kumar , Uniyal Ravi , Pandey Shweta , Jain Amita , Jain Parul
Published: February 2025

Objective:

To identify the clinical, laboratory, and radiological markers that could predict a positive GeneXpert result in patients suspected of tuberculous meningitis.

Methods:

In this prospective, observational study, patients with tuberculous meningitis were systematically evaluated. Various clinical, laboratory [including cerebrospinal fluid (CSF) microscopy, culture, and GeneXpert], and neuroimaging factors were examined. All participants were administered anti-tuberculous treatment and corticosteroids. A six-month follow-up was done to evaluate the outcome.

Results:

Of the 116 patients studied, 54 (46.6%) tested positive for GeneXpert, while 62 (53.4%) were negative. Third cranial nerve involvement (OR 3.71, 95% CI 1.052-13.09, P=0.04) and the presence of basal exudates on neuroimaging (OR 5.22, 95% CI 2.03-13.42, P=0.001) emerged as independent predictive factors for a positive GeneXpert result. A positive CSF GeneXpert result (P=0.002) and drug resistance (P=0.004) were significantly linked to adverse outcomes. Additionally, a high score on the Medical Research Council stage III (OR 5.64, 95% CI 1.18-26.87, P=0.03) and elevated CSF cell counts (OR 1.002, 95% CI 1.00-1.001, P=0.03) were identified as independent predictors of poor prognosis.

Conclusions:

Third cranial nerve involvement and the presence of basal exudates were significant indicators of a positive GeneXpert result. MRC stage III disability and elevated CSF cell counts predicted poor outcomes.
A Prospective Observational Study of Cesarean Sections in Tertiary Care Hospital for Maternal and Fetal Outcome after Anesthesia-Related Complications in Obstetric Operation Theatre
Authors: Borkar Kunal , Patil Yogita , Patil Devanand
Published: February 2025

Background:

In this study, we wanted to assess the type of anesthesia and reason for selecting the particular anesthesia, monitoring anesthesia-related perioperative complications, its effects on maternal and neonatal health, determine the most preferred mode of anesthesia used for cesarean section, determine the incidence of perioperative anesthesia-related complication and outcome after anesthesia-related complications, and maternal and fetal outcome in terms of morbidity and mortality after anesthesia.

Materials and Methods:

This was a hospital-based prospective observational study conducted among 735 consecutive cases undergoing cesarean section under general anesthesia (GA)/regional anesthesia both elective and emergency in the department of obstetrics and gynecology of a tertiary care hospital, over a period of one year, after obtaining clearance from Institutional Ethics Committee and written informed consent from the study participants.

Results:

Hypotension was the most frequent complication associated with spinal anesthesia. The percentage of patients having intraoperative hypotension in GA (11.1%) was lower than the percentage of patients having intraoperative hypotension in spinal anesthesia (19.2%). This difference is significant with a P value of < 0.01. Twenty-eight patients at the end of surgery complained of pain because of wearing of spinal level. Two cases of bronchospasm and two cases of shivering were seen in the immediate postextubation period in patients of GA. Twenty-four (3.3%) neonates had low appearance, pulse, grimace, activity, and respiration (APGAR) score and 59 (8%) neonates required Neonatal intensive care unit (NICU) admission. Fifteen neonates required resuscitation because of poor cry. Six were managed with bag and mask ventilation, four neonates required temporary intubation, and five neonates were shifted intubated to NICU.

Conclusions:

Spinal anesthesia is the choice of anesthesia for category 2 and onward cesarean sections. GA is the choice for category 1 cesarean section. Intraoperative hypotension is the commonest complication with all types of anesthesia, but if treated well is associated with no adverse outcomes. The maternal outcome is good with all types of anesthesia. Category 1 cesarean section is associated with low APGAR and increased NICU admissions in neonates. Pre-existing illness in the mother changes the choice of anesthesia.
Phase relations and pyramids
Authors: Walsh Miguel N.
Published: February 2025

We develop tools to study the averaged Fourier uniformity conjecture and extend its known range of validity to intervals of length at least

\exp(C (\log X)^{1/2}(\log \log X)^{1/2})

.
De nuevo, la organización territorial de Andalucía cuestionada por una consulta popular
Authors: Ruiz Magaña Inmaculada
Published: February 2025

Una vez más, en Andalucía se plantea, de nuevo, la ruptura del modelo territorial. Ya lo hizo en 1998 Algeciras, que promovió la celebración de una consulta popular para la conversión del Municipio y su entorno comarcal en una novena Provincia andaluza, y recientemente, en 2022, La Línea de la Concepción, que pretendía celebrar una consulta popular para constituirse en comunidad autónoma. En este trabajo se analiza la sentencia de la Sala Tercera del Tribunal Supremo, de 25 de septiembre de 2023 (recurso n.º 1013/2022) que tiene como Ponente a Pablo María Lucas Murillo de la Cueva, que desestima el recurso contencioso-administrativo interpuesto por La Línea de la Concepción ante la negativa del Consejo de Ministros de celebrar la consulta popular. En este caso se plantean cuestiones de interés relativas a los requisitos de las consultas populares del artículo 71 LBRL y a la aplicación del régimen del silencio administrativo positivo.
Aproximación al Estado Administrativo: De la deferencia Chevron a la delegación Loper Bright
Authors: Reverón Boulton Carlos
Published: February 2025

El presente estudio pretende entender y explicar cuál es ese “momento especial” que hoy en día vive el Administrative State o, si se quiere, el Derecho Administrativo de EE. UU., de manera que acudimos a la doctrina más autorizada que recoge la enorme tensión ideológica entre quienes justifican su particular funcionamiento y sus detractores, cuestión que exige acudir a otras disciplinas jurídicas que ayudan a comprender el pilar de ambas posturas.
La investigación cobra relevancia desde que el 28 de junio de 2024 la Corte Suprema de Estados Unidos anuló (revocó) la doctrina Chevron, establecida en una decisión de 1984 que otorgaba a las agencias reguladoras federales un amplio poder para interpretar y ejecutar las leyes (estatutos) en el ámbito para el cual se crearon esos órganos.
Tinjauan Perancangan Media Panduan Visual Untuk Edukasi Pengendara Motor di Bandung
Authors: Fauzan Mochamad , Karnita Rosa
Published: February 2025

Berkendara merupakan aktivitas penting yang dilakukan masyarakat untuk mencapai tujuan. Namun, dengan meningkatnya volume kendaraan di kota besar, diperlukan peraturan untuk menjaga ketertiban dan keselamatan berlalu lintas. Penelitian ini menggunakan metode semiotika dan pendekatan kuantitatif dengan 103 responden, sebagian besar terdiri dari remaja dan mahasiswa. Kuesioner menanyakan pemahaman dan pengalaman berkendara. Hasilnya menunjukkan bahwa banyak pengendara, terutama remaja, masih melanggar aturan dasar, seperti tidak menggunakan helm dan lampu sein. Meskipun 99% responden setuju bahwa edukasi lalu lintas penting, masih terdapat kekhawatiran mengenai keselamatan berkendara. Penelitian ini menyoroti kurangnya pemahaman tentang etika berkendara yang aman dan pentingin edukasi secara efektif. Sosialisasi yang rendah tentang keselamatan berkendara menjadi faktor utama peningkatan kecelakaan. Oleh karena itu, perlu adanya pendekatan edukasi yang lebih baik untuk meningkatkan kesadaran dan pemahaman mengenai keselamatan lalu lintas di kalangan pengendara.
Usulan Penerapan Lean Manufacturing pada Proses Produksi Kerupuk di Pabrik Kerupuk XYZ di Kota Palembang
Authors: Jugo Carolus Jose , Alfrendo Cornelius Yelgi , Reza Saputra Yohanes Babtis , Situmorang Rycardo
Published: February 2025

Pabrik kerupuk XYZ merupakan salah satu Pabrik yg memproduksi aneka varian kerupuk Khas oleh-oleh kota Palembang yang memproduksi Pelbagai jenis produk kerupuk yaitu yang siap santap dan produk yg siap goreng/setengah jadi. Dalam Penelitian ini kami menemukan pemborosan yang terjadi pada lantai produksi dimana sampai produk siap untuk di kemas atau di goreng. Tujuan dilakukannya penelitian ini adalah untuk mengetahui pemborosan yang ada dalam proses produksi kerupuk dan menemukan solusi terbaik sehingga terjadi efisiensi dalam proses, serta produktivitas yang meningkat  di pabrik kerupuk XYZ. Dengan menerapkan Lean Manufacturing penelitian ini meneliti tujuh jenis pemborosan yang sering terjadi dalam suatu proses industri dengan menggunakan metode Value Stream Mapping (VSM). Hasil penelitian ini menunjukkan bahwa pemborosan yang paling dominan terjadi . Didasari oleh temuan ini kami memberikan usulan perbaikan, yang menurut kami adalah opsi paling relevan untuk di terapkan. Diharapkan penelitian yang kami lakukan ini dapat bermaanfaat bagi perkembangan dan kemajuan kinerja pabrik kerupuk XYZ dan semoga penelitian kami ini menjadi referensi bagi industri lainnya, khususnya usaha kecil dan menengah untuk membawa dampak positif
Strategi Pengelolaan Sampah Sistem Zero Waste Di Kelurahan Pegesangan Kota Mataram
Authors: Silmi Hayatus , Zitri Ilham
Published: February 2025

This study aims to analyze the concept of zero waste, identify effective implementation strategies, assess the chances of success and establish an integrated waste management model for implementation in Pegesangan Village, Mataram City. This study uses descriptive and qualitative methods. The data sources for this study are primary data obtained directly from the government, private sector, universities, the community and information media. In addition, it is supported by secondary data obtained from documents, publications or literature related to zero waste system waste management strategies. The results of this study indicate that the lack of public awareness of the importance of waste management and the existence of traditional markets hinder the effectiveness of waste management and sorting, making it difficult to implement a zero-waste system in the Pegesangan Barat Village area. To overcome these obstacles, the Pegesangan Village Government implemented a "waste sorting" program between organic and inorganic waste. With proper waste separation, organic waste can be processed into useful compost and inorganic waste can be recycled or managed more efficiently. Therefore, community and government involvement is needed to create a waste management plan with a zero waste system, protect the environment, and produce benefits and economic value from the waste produced.
Influências percebidas do curso de Licenciatura em Matemática no ensino de matemática que praticam
Authors: Araújo Jéssica Silva de , Batistela Rosemeire de Fatima
Published: February 2025

Este artigo apresenta uma investigação sobre a utilização de metodologias e estratégias de ensino por professores egressos do curso de Licenciatura em Matemática da Universidade Estadual de Feira de Santana. Para tanto, tem como objetivo investigar o que os professores formados neste curso relatam sobre a influência do curso de Licenciatura em Matemática em suas práticas pedagógicas, a fim de entendermos em que medida se utilizam das propostas metodológicas no ensino que praticam. Para a construção dos dados, realizamos entrevistas com seis professores egressos, que responderam a duas questões: uma sobre a influência do curso em sua prática pedagógica de ensino e outra sobre a estrutura de suas aulas. Para a constituição dos dados, descrevemos as entrevistas e, para a análise dos dados, utilizamos recursos da pesquisa qualitativa fenomenológica, que contempla dois momentos: a análise ideográfica e a nomotética. Compreendemos que os professores egressos valorizam as disciplinas de Instrumentalização para o Ensino de Matemática, bem como os Estágios Supervisionados e as Orientações à Pesquisa. Para além das disciplinas, percebem que os projetos de iniciação à docência e a admiração desenvolvida por alguns professores também influenciam. Notamos que, embora reconheçam a influência e a importância do trabalho diferenciado no ensino de Matemática, afirmam que o uso das novas propostas metodológicas de ensino depende de iniciativas particulares em condições não ideais e destacam preferência por apresentar o conteúdo matemático, contextualizando-o socioculturalmente, no cotidiano e na própria Matemática.
ANALYSIS OF THE KAZAKH CYBER TOURNAMENTS PLATFORM“PINGER.KZ”
Authors: Karazhan Bekassyl , Alimanova Madina , Alseitova Akerke
Published: February 2025

Worldwide experts presume further growth of videogames field and suggest solutions according to the actual statistics. Despite the remarkablesuccesses of the e-athletes from Kazakhstan in a worldwide arena, there is a lack of statistical data on the local cybersport. Therefore, the research was conducted to provide prospective researchers in fields like gamification, eSport and media with actual data. The given scientific paper uses the data collected and analysed from the largest cyber tournament platform in Kazakhstan “Pinger.kz”. The analysed information is about tournaments that took place since the website launched in 2019 to 2021. The libraries of Python for data analysis as BeautifulSoup, requests, matplotlib and Apache tools were used. The aim of the work is to collect and make data analysis for future research. The paper identifies the most popular games among kazakh players in order to use this data in the research on gamification. Parsed data results show the development of the local cybersport and confirm worldwide trends.
AN EVALUATION OF UNSUPERVISED OUTLIER DETECTIONMETHODS FOR UNIVARIATE TIME SERIES DATA IN FINANCIALTRANSACTIONS
Authors: Amankossova Aruzhan
Published: February 2025

An essential problem in finance application areas is identifying abnormal subsequences in time series data. Despite the wide range of outlier detection algorithms, no substantial research has been conducted to thoroughly investigate and assess the various methodologies, particularly in the financial industry. This study focuses on comparing and contrasting the outcomes of various unsupervised algorithms. The findings reveal that the Local Outlier Factor technique outperforms the other methods in terms of precision, recall, and F1-score. The research provides valuable insights for financial institutions and businesses looking to improve their identification of abnormalities systems and highlights the importance of choosing the appropriate unsupervised outlier detection method for financial transaction data. The outcomes of this study can be used to inform future research and development in the area of financialunusual case detection.
IDENTIFYING SPAM MESSAGES FOR KAZAKH LANGUAGEUSING HYBRID MACHINE LEARNING MODEL
Authors: Ydyrys Abdulla , Sultanova Nazerke
Published: February 2025

This paper describes a spam detection system for Kazakh Language using Hybrid Machine Learning Model. The lack of spam detection systems in the Kazakh language calls for the need of a proposed system that can identify unwanted messages. The system integrates multiple Machine Learning algorithms to accurately classify spam and non-spam messages. The performance of the system is evaluated using metrics such as accuracy, precision, recall, and F1-score. Results show that the proposed solution outperforms existing spam detection techniques in terms of detecting spam with a low false positive rate and high accuracy. The findings of this researchcontribute to the development of effective spam detection systems for theKazakh language and provide insights for future work in this field.
TYPES OF LYAPUNOV FUNCTIONS AND GLOBAL STABILITY
Authors: Aitzhanov Yerimbet , Kadyrov Shirali
Published: February 2025

The stability analysis of dynamical systems is a critical aspect of understanding their behavior and ensuring reliable performance in various applications. Lyapunov functions play a pivotal role in this analysis, offering a powerful mathematical tool to assess the stability of equilibrium points. Despite the fact that at the moment there is no general method for finding the Lyapunov function, this review explores the diverse landscape of Lyapunov functions and their contributions to achieving global stability in dynamical systems. Examples of epidemic models and their Lyapunov functions with the graphical implementations in Python in different reproduction numbers are included for deeper understanding. In addition, the history of the Lyapunov global asymptotic stability theorem was considered shortly. Possible further research ideas in this area are included at the end.
A REGION-SPECIFIC APPROACH TO TRAFFIC SIGNRECOGNITION IN KAZAKHSTAN: A COMPARATIVE STUDY OFRESNET-101, MOBILENETV2, AND YOLOV8
Authors: Alsiyeu Ulan , Duisebekov Zhasdauren
Published: February 2025

This research addresses the critical need for accurate traffic sign recognition in Kazakhstan, which is essential for enhancing road safety anddeveloping advanced driver-assistance systems (ADAS). We created a comprehensive dataset tailored to Kazakhstan's traffic conditions and evaluated three state-of-the-art deep learning models: ResNet-101, MobileNetV2, andYOLOv8. Among these, YOLOv8 demonstrated superior performance, achieving 89.2% accuracy, 89.6% precision, 88.9% recall, and an 89.2% F1-score. This study highlights the effectiveness of tailored data augmentation techniques and the potential of YOLOv8 for real-time traffic sign recognition in dynamic environments, significantly contributing to the improvement of ADAS and road safety in Kazakhstan
Prevalence and Risk Factors to Premature Rupture Membrane through a Study in Jiblah University Hospital, ibb, Governorate, Yemen
Authors:   Assistant Professor of Obstetrics and Gynecology, Dean of the Faculty of Midwifery, Jableh University of Medical and Health Sciences, Yemen, Alsharif Afaf , Molhi Amal ,   Bachelor’s degree from Jiblah University of Medical and Health Sciences, Yemen, Alseneaa Athar ,   Bachelor’s degree from Jiblah University of Medical and Health Sciences, Yemen, Mahdi Seham ,   Bachelor’s degree from Jiblah University of Medical and Health Sciences, Yemen, Al-Mojammer Ola ,   Bachelor’s degree from Jiblah University of Medical and Health Sciences, Yemen
Published: February 2025

Background: Prelabour rupture of membranes (PROM), previously known as premature rupture of membranes, PROM occurs when the leakage of
amniotic fluid occurs at least one hour before the initiation of labor. The fetal membranes normally rupture spontaneously during labor probably due to
the physical effects of repetitive uterine contraction.
Objectives: As no studies have previously been conducted about PROM in Jiblah University Hospital in Ibb governorate, Yemen, we hereby aimed to
present first report on prevalence and risks factors contributing and causes of PROM.
Methods: This retrospective observational study was conducted in the department of Obstetrics & Gynecology, Jiblah University Hospital in Ibb governorate,
from December 2023 to Feb 2024. Data were retrieved from the antenatal ward admission register, case files, theatre records, and neonatal care unit records
and reviewed. Descriptive statistics were used to describe data. Chi-square test with a significance level set at p < 0.05
Results: A total of 1350 women of reproductive age between 15 to 56 years were included in the study. With mean (±SD) age of the respondents was
27.5(±6.3) years.
At the individual level, 627 (46.4%) of the respondents were 15 – 25 years old. At the household/community- level with 1063 (78.70% ) of the study respondents
resided in rural. About 640(47.40%) having more than 3 of family number. Nearly 1075 (79.60%) of them are literate. About 1234(91.40%) had normal
blood pressure. Regarding cigarette smoking, 138 (10.20%) smokers and 1212 (89.80%) were non- smokers. Nine hundred and thirty- three (69.10%) of the
khat chewing had a history of khat chewing during this pregnancy and 417 (30.90%) of the non-khat chewing. Eight hundred and seventy-two (64.59%)
of the urinary tract infection during this pregnancy. On the other hand, all the individual and household/community factors were significantly associated
with PROM are family number, vaginitis, urinary tract infection, duration of PROM, abortion where the chi squire test p-value was<0.05.
Conclusion: In this study, a family number, vaginitis, urinary tract infection, duration of PROM, abortion are the risk factors for PROM. Recognizing
the most common risk factors for PROM will help to increase the awareness about high-risk pregnancy, improve the preventive measures of preterm risk
factors and modify preterm care protocol in nurseries.
Immune-enhancing role of vitamin A-Narrative review
Authors: Mohammed Ibraheem Muna , Jaber Hameed Tafaoul , Adnan Mezher Maysam
Published: February 2025

Vitamin A has been prescribed in many cases of immunodeficiency or infection, as researchers have found that vitamin A strengthens immunity and regulates immune cells such as neutrophils, macrophages and others. On the other hand, vitamin A treatment did not reduce the length of stay in the hospital or the death-rate sepsis patients. However, vitamin A plays a positive role in the treatment of COVID-19 through regulating many significant signaling pathways. In addition, it provides protection against measles and reduces mortality, and contributes in the treatment of tuberculosis through several mechanisms. In this review we aimed to explain the role of vitamin A in enhancing body immune functions and reducing inflammation in human body.
РЕАЛИЗАЦИЯ КОНЦЕПЦИИ «ЦИФРОВОЙ КЛАСС» В ОБЩЕОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЯХ МОСКОВСКОЙ ОБЛАСТИ В 2023-2024 ГОДАХ
Authors: Николаев М.В. , Кармаев А.А. , Соломатин А.М. , Лугов И.А.
Published: February 2025

В статье рассматриваются вопросы цифровой трансформации в общеобразовательных организациях, изменения запросов обучающихся, а также управленческие задачи администрации образовательной организации и команды управления, выполнение которых необходимо для решения вопроса цифровизации образовательного процесса. В проведенном исследовании рассматривается опыт общеобразовательных организаций Московской области по внедрению в образовательный процесс цифровых технологий и созданию условий для реализации смешанного обучения, анализируются достигнутые результаты. Статья адресована руководителям образовательных организаций и специалистам органов управления образованием.

In article discusses the issues of digital transformation in educational organizations, changes occurring in the requests of students, as well as the management tasks of the administration of an educational organization and the management team, the implementation of which is necessary to meet the request for digitalization of the educational process. The study examines the experience of educational organizations in the Moscow region in introducing digital technologies into the educational process and creating conditions for the implementation of blended learning, analyzes the results achieved. The article is addressed to the heads of educational organizations and specialists of educational management bodies.
ТАЙМ-МЕНЕДЖМЕНТ КАК ТЕХНОЛОГИЯ УПРАВЛЕНИЯ РАБОЧИМ ВРЕМЕНЕМ ПЕРСОНАЛА ОРГАНИЗАЦИИ СОЦИАЛЬНО-КУЛЬТУРНОЙ СФЕРЫ
Authors: Подкопаев О.А.
Published: February 2025

В современных условиях динамичной хозяйственной деятельности тайм-менеджмент играет важнейшую роль в работе любой организации, включая социокультурные учреждения. Руководителям организаций социально-культурной сферы необходимо учитывать, что не всем сотрудникам творческих и креативных профессий подходит строгий график и планирование: для творческих личностей рекомендуется создавать условия, которые способствуют самоорганизации и креативности, таким образом улучшая их производительность и результативность. Их творческое вдохновение страдает от директивных временных ограничений, что приводит к низким результатам деятельности и недостаточному уровню продуктивности. В то же время повышение эффективности и результативности возможно с помощью технологии управления временем, которая представляет собой организационно-управленческий механизм самокоординации и самоконтроля над распределением времени в условиях многозадачности и ограниченного временного ресурса между различными видами осуществляемой деятельности. Для достижения этой цели используются специальные технологии тайм-менеджмента, организационно-управленческие механизмы управления временем, которые призваны обеспечить успешное выполнение поставленных оперативных и стратегических целей и задач.

In modern conditions of dynamic economic activity, time management plays a crucial role in the work of any organization, including socio-cultural institutions. Managers of organizations in the socio-cultural sphere should take into account that not all employees of creative and creative professions are suitable for a strict schedule and planning: it is recommended for creative individuals to create conditions that promote self-organization and creativity, thus improving their productivity and effectiveness. Their creative inspiration suffers from directive time constraints, which leads to poor performance and insufficient productivity. At the same time, increasing efficiency and effectiveness is possible with the help of time management technology, which is an organizational and managerial mechanism for self-coordination and self-control over the allocation of time in conditions of multitasking and limited time resources between various types of activities. To achieve this goal, special time management technologies, organizational and managerial time management mechanisms are used, which are designed to ensure the successful implementation of the set operational and strategic goals and objectives.