bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Kebutuhan Pergerakan untuk Pengembangan Jaringan Jalan di Kota Lubuklinggau
Authors: Meliana Eta , Buchari Erika , Agustien Melawaty
Published: February 2025

The suitability of road class and service is an important thing that impacts the road's capacity. Currently, in Lubuklinggau City, district/city roads have the same level of service as national roads, with high traffic flows resulting from changes in land use. Road class change plants were analyzed using a four-stage transportation modeling method and processed with a post-mortem program and analysis of service levels and suitability of road classes with MKJI 1997 Level of Service (LOS) and Volume Capacity Ratio (VCR). The locations examined were Yossudarso Street and Letkol Sukirno Lapter Street, south ring of Lubuklinggau City. The traffic volume of Yossudarso Street obtained from the application visum was 2,053 pcu/hour. The traffic account survey results were 2,019 pcu/hour, and Letkol Sukirno Lapter Street obtained from the application visum was 1,718 pcu/hour, and the traffic account survey results were 1,705 pcu/hour. VCR value on Yossudarso Street is 0.72, Letkol Sukirno Street 0.60, Yossudarso Street is 0.72, and Letkol Sukirno Street is 0,60. The level of service for both roads is C.
ABSTRAK
Kesesuaian kelas jalan dengan pelayanan jalan merupakan hal penting yang berdampak pada kemampuan daya tampung jalan tersebut. Saat ini di Kota Lubuklinggau jalan kabupaten/kota tingkat pelayanannya sudah setara jalan Nasional tingginya arus lalu lintas yang terjadi akibat dari perubahan tata guna lahan. Analisis rencana perubahan kelas jalan dilakukan dengan menggunakan metode empat tahap permodelan transportasi dan diolah dengan program visum dan analisa tingkat pelayanan dan kesesuaian kelas jalan dengan MKJI 1997 Level of Service (LOS) dan Volume Capacity Ratio (VCR). Lokasi yang di teliti yaitu Jalan Yossudarso dan Jalan Letkol Sukirno Lapter Lingkar Selatan Kota Lubuklinggau. Volume lalu lintas Jalan Yossudarso diperoleh dari program visum 2.053 smp/jam dan hasil survei traffic count 2.019 smp/jam dan Jalan Letkol Sukirno Lapter Lingkar Selatan diperoleh dari aplikasi visum sebesar 1.718 smp/jam dan hasil survei traffic count 1.705 smp/jam. Nilai VCR di jalan Yossudarso 0,72, jalan Sukirno Lapter 0,60, jalan Yossudarso 0,72 dan jalan Sukirno Lapter 0,60. Tingkat pelayanan kedua jalan tersebut adalah C.
Propagation of Dendrobium crumenatum Sw. through In Vitro Seed Culture Using Fertilizer-Enriched and Organic Complex Media
Authors: Su'udi Mukhamad , Ziyaroh Putry Lazimatu
Published: February 2025

Dendrobium crumenatum Sw. is one of the epiphytic orchids with high ecological and economic value. This study aims to examine the effect of media containing organic compounds enriched with fertilizers for in vitro propagation of D. crumenatum seeds. This culture medium contains organic materials such as potatoes, bananas, coconut water, charcoal, sucrose, and foliar fertilizer. This medium was designed to provide macro, micro, and growth hormone nutrients that support explant growth. The research procedure included sterilization of orchid seeds, explant sowing, and growth observation for about two months. The results showed that orchid seeds experienced optimal growth in media with the addition of coconut water and other organic compounds. The formulation of organic-based media with the addition of coconut water and other supporting compounds is effective in supporting the in vitro growth of orchids, providing opportunities for efficient propagation of orchid species. Explant growth reached 1-2 cm at the 68th day after sowing, with a fresh green colour as an indicator of optimal physiological conditions. The even distribution of shoots indicates that the media provides sufficient space and nutrients without competition between explants. In sum, simple tissue culture media produced from a mixture of organic materials proved reliable function and suited for growing D. crumenatum orchid seeds to produce plantlets, and into further extent it would support conservation efforts.
Key words: Conservation, organic materials, pigeon orchid, simple media, tissue culture
The European Court of Human Rights and life imprisonment
Authors: Polak-Kruszyk Aleksandra
Published: February 2025

This paper is focused on analysing and discussing the standards established by the European Court of Human Rights (ECtHR) concerning prisoners serving life sentences. The article begins by outlining the general standards for implementing life imprisonment established over the years by the ECtHR, based on complaints from life-sentenced prisoners across all Council of Europe countries. In the second part, the article examines 23 specific cases of Polish prisoners serving life sentences who have lodged complaints against Poland. The analysis addresses the causes of violations of specific articles of the European Convention on Human Rights (ECHR) and considers the number of damages awarded under Article 41 of the ECHR, as well as the length of time the Court took to process complaints from Polish prisoners serving life sentences.
Recommendations for Success in Forming and Maintaining a SoTL Community of Practice
Authors: Du Plessis Aletta M. , Schreck Cornelia M. , Bisschoff Christo A. , Coetzee Dané , Kahts-Kramer Samantha A. , Oosthuizen Jacobus J.
Published: February 2025

Scholarship of Teaching and Learning (SoTL) communities of practice (CoP) have emerged as collaborative learning environments that unite people with a shared interest. However, forming and maintaining a successful SoTL CoP can be challenging, requiring careful planning and execution. As academics, we encounter various universal problems and challenges in our teaching and learning practices, particularly in a discipline-focused environment. Researching these challenges is the obvious path to finding answers. However, many discipline-focused academics are unsure of where to begin or how to conduct research on their teaching and learning. As novice SoTL researchers, we established a SoTL CoP in 2021. We used Participatory Action Learning and Action Research (PALAR) principles to form and function our CoP. After two years of successfully maintaining our SoTL CoP, we analysed the data gathered during our meetings. We identified four main themes: Unity in diversity, maximising collaborative potential, nurturing collaboration, and navigating success. We used these themes to compile guidelines for successfully forming and maintaining a SoTL CoP. Implementing these guidelines within a discipline-focused environment will support the development of a collaborative and supportive environment for the advancement of SoTL practices. By prioritising these guidelines, a CoP can thrive, fostering a collaborative and cohesive community where members actively participate, share their expertise, and contribute to collective growth within SoTL.
Photo created using DALLE-3, 2024.
Role of nutrition in the treatment of non-alcoholic fatty liver disease in children
Authors:   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation, Pavlovskaya E.V. ,   Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation, Lebedeva A.M. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation, Bagaeva M.E. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Zubovich A.I. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation, Taran N.N. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Strokova T.V. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Starodubova A.V. ,   Federal Research Centre of Nutrition, Biotechnology and Food Safety, Moscow, Russian Federation,   Russian Medical Academy of Continuous Professional Education, Moscow, Russian Federation,   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation
Published: February 2025

Obesity is associated with a wide range of comorbidities, including non-alcoholic fatty liver disease (NAFLD). Among obese children, the prevalence of NAFLD exceeds 50%. An effective pharmacotherapy for pediatric NAFLD has not yet been developed. The leading method of treatment is to reduce body weight through lifestyle changes, namely diet adjustment and physical activity. Different types of diets (Mediterranean diet, reduction of added sugars and fats) and the use of certain substances, primarily fat-soluble vitamins and omega-3 polyunsaturated fatty acids are being explored as promising diet therapies. This review analyzes the results of current studies investigating the efficacy of dietary interventions in the treatment of NAFLD in children.
Key words: non-alcoholic fatty liver disease, children, nutrition, fructose, Mediterranean diet, vitamin E
Nutrient deficiencies in patients with Shwachman–Diamond syndrome and possibilities of its correction
Authors:   N.I.Pirogov Russian National Research Medical University, Moscow, Russian Federation, Ipatova M.G. ,   N.F.Filatov Children’s City Clinical Hospital, Moscow, Russian Federation
Published: February 2025

Objective. To study the characteristics of nutritional status in children with genetically confirmed diagnosis of SDS.
Patients and methods. The study enrolled 74 patients with genetically confirmed diagnosis of SDS. To assess the nutritional status, anthropometric parameters were examined in all children using the WHO Anthro and WHO AnthroPlus programs. Laboratory markers of nutritional status included serum levels of total protein, albumin, urea, creatinine, cholesterol, HDL, LDL, triglycerides, glucose, iron, calcium, phosphorus, and vitamin D. Specific IgE antibodies to food products, IgA and IgG to gliadin and tissue transglutaminase were investigated. According to the results of examinations, diet therapy was corrected with selection of a specialized therapeutic product considering age, basic metabolism, and concomitant
pathology.
Results. In patients with SDS, height Z-score (Me [Q1; Q3])) was -1.60 [-2.45; -0.8], weight Z-score was -1.47 [-2.45; -0.8] and BMI Z-score was -0.92 [-1.4; 0.22]. In 68.9% of children, there was a delay in physical development, and in 48.6% of cases – protein-energy undernutrition (PEU) of various severity. The analysis of protein metabolism parameters revealed hypoproteinemia in 14 (18.9%) children, hypoalbuminemia in 3 (4.1%) children, decreased urea in 4 (5.4%) children and decreased creatinine in 11 (14.8%) children with SDS. The analysis of lipid metabolism revealed hypocholesterolemia in 54 (73%) children and hypotriglyceridemia in 5.4% of cases. Glucose levels below the reference range were found in 3 children with SDS with grade 3 PEU. Decreased vitamin D levels were found in 59 (79.7%) children, iron deficiency in 20.3% and hypocalcemia
in 8.1%. IgE-mediated food allergy was laboratory confirmed in 43 (58.1%) children, non-celiac gluten sensitivity was detected in 36 (48.6%) children and celiac disease in 1 child. All children were prescribed individualized diet therapy and a therapeutic formula (Alfare, Peptamen).
Conclusion. Nutrient deficiency is often observed in children with SDS. If enzyme replacement therapy has no effect, it may be associated with gluten intolerance and food allergy. Nutritional support in children with SDS should be comprehensive, and enteral nutrition formulas tailored to the age and digestive system are best suited for this purpose.
Key words: Shwachman–Diamond syndrome, SBDS gene, children, physical development, protein-energy undernutrition, therapeutic formulas, Alfare, Peptamen
ANALYSIS OF THE APPLICATIONS OF THE DATA-DRIVEN APPROACH IN EVALUATING THE THERMAL-PHYSICAL PROPERTIES OF COMPOSITES
Authors: Lavshchenko Ruslan , Lvov Gennadiy
Published: February 2025

This research analyzes the potential and prospects of a data-driven methodology for examining the thermo-physical properties of composite materials. The research is to provide an analysis of the potential and benefits of employing data-driven procedures, especially in contrast to conventional methods. The analysis examines fundamental principles and advanced machine learning approaches utilized in materials science, highlighting their ability to improve the knowledge, optimization, and overall quality of composite materials. This study thoroughly examines the application of neural networks in forecasting thermal characteristics, highlighting its predictive skills and potential to transform the analysis of thermal properties in composite materials. Additionally, the research underscores the growing reliance on big data analytics in addressing complex challenges in material behavior, particularly under variable environmental conditions. A comparison assessment is performed between the data-driven methodology and traditional analytical methodologies, emphasizing the distinct advantages and drawbacks of each. This comparison elucidates how data-driven methodologies can enhance and refine the precision of thermo-physical analysis. The convergence of machine learning and material science is shown to not only facilitate more accurate predictions but also reduce experimentation time and costs. The report also delineates contemporary techniques for measuring and forecasting the thermo-physical properties of composites, emphasizing the advancements in new technologies in recent years. The function of computational tools and computer technology is elaborated upon, especially with the modeling of thermo-physical properties and the simulation of production processes for composite materials. This paper highlights the growing significance of these technologies in enhancing both theoretical and practical dimensions of material science. The research provides novel insights into composite manufacture, thereby advancing the future of materials science and the practical applications of composite materials. The results have significant implications for enhancing production processes, fostering innovation, and progressing the research of composite materials across diverse industries.
APPLICATION OF OPTICAL CHARACTER RECOGNITION AND MACHINE LEARNING TECHNOLOGIES TO CREATE AN INFORMATION SYSTEM FOR AUTOMATIC VERIFICATION OF OFFLINE TESTING
Authors: Ziuziun Vadym , Petrenko Nikita
Published: February 2025

During the learning process in any field, testing and monitoring the knowledge of students or other learners is an essential part. Teachers often spend considerable time grading large volumes of standardized tests. While online testing systems have been developed to streamline this process, offline paper tests remain popular as they do not require access to computers, electricity, or a stable internet connection. Offline testing is often considered one of the most representative methods for assessment, but it leads to repetitive work for teachers during the grading process. To save time, some educators use test sheets to structure responses, simplifying grading tasks. Consequently, developing a system that automates the grading of offline tests has become increasingly relevant. The purpose of this research was to develop an information system (web platform) that simplifies the offline test grading process using optical character recognition technologies powered by machine learning algorithms. The object of this research is the processes and functionality involved in creating an information system for the automated grading and evaluation of offline tests. The scientific novelty lies in integrating machine learning algorithms with modified image processing algorithms to create a system capable of analyzing and grading a wide range of offline test tasks, including open-ended, closed-ended, sequence identification, and multiple-correct-answer questions. The practical significance of this research is the development of a web platform to automate offline test grading through optical character recognition and machine learning technologies, reducing teachers' time spent on grading, enabling analysis and improvement of educational programs, supporting various test types, and promoting scientific and technological advancement in education. The developed system can recognize handwritten text from photos, create an array of responses, and compare them to the answers provided by the teacher. This approach significantly reduces the time teachers spend on grading tests. For user convenience, a minimalist interface was created, granting access to all main system functions with intuitive controls. A detailed description of the developed algorithms and machine learning models is provided. This project offers broad potential for further development, including integration with other educational platforms, enhancements in recognition technology, and system scalability.
MATHEMATICAL RATIONALE FOR CREATING AN APPLICATION FOR CONDUCTING RANDOM MEETINGS «COFFEE BREAK»
Authors: Ziuziun Vadym , Osoka Daniil
Published: February 2025

Modern society is facing an increasing trend of social isolation, as people increasingly rely on social media for interaction instead of face-to-face communication. This lack of in-person contact often leads to feelings of loneliness and disconnection. This study proposes the concept of a mobile application, CoffeeBreak, designed to counteract these trends by offering users a platform to arrange brief, in-person meetings, such as a quick coffee chat. By encouraging users to meet in real life, the application aims to foster meaningful social connections and combat the sense of isolation prevalent in today’s digital world. The core innovation of CoffeeBreak lies in its unique approach to matchmaking. Instead of presenting users with an overwhelming array of choices, the app offers a single match within a specified timeframe, thus addressing the common issue of decision paralysis that can arise when users are presented with too many options. By simplifying the process, CoffeeBreak allows users to spend less time making selections and more time connecting with others. This approach is inspired by practices adopted within large companies, where employees use bots in work chat groups to find a partner for a short meeting. These interactions help raise awareness about the activities in other departments and foster informal and professional connections. Expanding this practice to a broader societal level, CoffeeBreak is intended to provide individuals with the opportunity to network beyond their immediate professional circles. This research has established a conceptual system model and developed the mathematical frameworks necessary to support this type of meeting arrangement. Specifically, the study has defined the concept of the CoffeeBreak mobile application, outlined the system model with detailed subsystems and environment interactions, and formulated mathematical models to form the basis of the candidate selection algorithm. The model ensures that users are matched in a way that promotes engagement, as each participant can be assured that their matched partner is equally motivated for the encounter. As the application continues to evolve, it can incorporate additional scheduling criteria to enhance the quality of matches and distribution. For example, if a user attends a meeting within the first two days, they could unlock the potential for additional matches by the end of the week. Ultimately, CoffeeBreak aims to broaden users' horizons, help them form new professional and informal connections, and enhance their social skills. This study’s findings lay the groundwork for a new tool that encourages in-person interactions, enabling individuals to expand their social networks in a balanced and purposeful manner.
Levels of Obedience According to a Javanese Tafsir: An Analysis of Bakri Syahid's Tafsir Al-Huda
Authors: Ramadhan Sulchan Ainur , Azizah Alfiyatul , Nugroho Kharis , Dahliana Yeti , Nurrohim Ahmad
Published: February 2025

Penelitian ini membahas konsep ketaatan menurut Bakri Syahid dalam Tafsir Al-Huda, sebuah karya tafsir Al-Qur’an berbahasa Jawa. Penelitian ini mengkaji bagaimana Bakri Syahid mengartikan dan menafsirkan ketaatan dalam berbagai tingkatan tutur dan tingkatan kosakata bahasa Jawa, mulai dari ngoko hingga krama. Penafsiran ini menunjukkan pentingnya ketaatan sebagai kepatuhan yang tidak hanya bersifat pasif, tetapi juga melibatkan penghayatan mendalam dan kesungguhan. Melalui pendekatan kualitatif dan metode library research, penulis meneliti 54 ayat Al-Qur’an yang mengandung kata dan derivasi ṭā‘ah serta mengidentifikasi lima tingkatan ketaatan, dari yang terendah (ngrujuki) hingga yang tertinggi (ngestokaken dhawuh). Penulis juga mengkaji arti setiap penafsiran ṭā‘ah dalam bahasa Jawa melalui beberapa kamus dan buku tentang tata bahasa Jawa, selain itu dalam penelaahan ayat penulis mempertimbangkan asbabun nuzul ayat dan tafsir Ibnu Katsir sebagai pembanding untuk membuat penelitian ini se objektif mungkin. Penelitian ini menyimpulkan bahwa ketaatan menurut Bakri Syahid melibatkan keseriusan, kesesuaian antara perkataan, hati dan perbuatan, keikhlasan, kesesuaian dengan aturan, kesiapan dalam segala keadaan, keistiqomahan, cinta dan penghormatan dalam menjalankan perintah Allah.
Plastic Burning Particulate Matter as a Source of Environmentally Persistent Free Radicals and Reactive Oxygen and Chlorine Species
Authors: Salim Rizana , Kapur Sukriti , Schervish Meredith , Gerritz Lena , Edwards Kasey , Ruis-Armenta Luis , Varghese Emil , Ravikrishna Raghunathan , Nizkorodov Sergey , Gunthe Sachin , Shiraiwa Manabu
Published: February 2025

Burning plastic waste releases massive amounts of atmospheric particulate matter (PM), but its chemical composition and health-related properties are largely unelucidated. Here we characterize chemical composition of PM generated from burning common types of plastics and quantify reactive oxygen/chlorine species and PM oxidative potential (OP). We find that plastic burning PM contains high levels of environmentally persistent free radicals (EPFRs), transition metals, and polycyclic aromatic hydrocarbons. In the aqueous phase, PM generates hydrogen peroxide, •OH radicals, and carbon-centered organic radicals, exhibiting high levels of OP as characterized by DTT and OH assays. Remarkably, plastic burning PM is associated with high concentrations of hypochlorous acid. Kinetic model simulations demonstrate that the PM respiratory deposition leads to •OH formation via complex redox reactions among its constituents and antioxidants in lung lining fluid. Our study highlights significant atmospheric and health implications for unregulated plastic burning, particularly common in many areas of developing countries.
Integration of Enrichment Strategies with Principal Component Analysis (PCA) for the Advanced of Phenolic Compounds in Bee Products
Authors: Birinci Ceren , Kara Yakup , Gıdık Betül , Kolaylı Sevgi , Can Zehra
Published: February 2025

To achieve a highly selective and sensitive analysis of phenolic compounds in bee products (honey, bee bread and propolis) a simultaneous quantification of 25 phenolic compounds was performed using high-performance liquid chromatography coupled with a diode array detection. In the study, various solvents were utilized to enhance the phenolic profile of bee products. These included non-liquid-liquid extraction, pH 2 with 10 mL of pure water and 20 mL of diethyl ether; pH 2 with 10 mL of pure water and 20 mL of ethyl acetate; pH 2 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate; and pH 7 with 10 mL of pure water, 10 mL of diethyl ether, and 10 mL of ethyl acetate. Additionally, the integration of phenolic compounds identified through the enrichment method was pursued using Principal Component Analysis (PCA). The extraction yields and recovery rates of phenolic compounds can be significantly improved through the combination and integration of different extraction techniques.
Machine learning-enhanced prediction of sensible heat storage potential in Kano-Nigeria based on thermogravimetric analysis
Authors: Maiwada Abubakar D. , Adamu Abdullahi A. , Usman Jamilu , Maiwada Umar D. , Abdulrahman Suleiman , Abba Sani I.
Published: February 2025

The challenge of efficiently predicting the sensible heat storage potential of natural materials like Dawakin Tofa clay for sustainable energy applications necessitates innovative solutions. This study investigates the use of machine learning models: Interactive Linear Regression (ILR), Stepwise Linear Regression (SWLR), Robust Linear Regression (RLR), and (Kernel Support Vector Machine (KSVM). Also, four non-linear models were employed as: G-Matern 5/2 (GM5/2), Trilayered neural network (TNN), Boosted Tree (BoT) and bagged Tree Neural Networks (BTNN). Further, some ensemble methods used are: Simple Average Ensemble (SAE), Weighted Average Ensemble (WAE), and Neural Network Ensemble (NNE). In the laboratory, the test was carried out at the Centre for Genetics Engineering and Biotechnology at the Federal University of Technology in Minna, Niger State, Nigeria. The clay sample was placed in a platinum pan, then heated it at a rate of 10°C per minute while using nitrogen and air as purge gases. The entire experiment took 33 minutes to complete, with results printed for documentation. To ensure accuracy, we repeated the analysis three times and averaged the results. By utilizing locally abundant Dawakin Tofa clay, the research promotes sustainable and cost-effective energy storage solutions, reducing reliance on synthetic materials and lowering the environmental footprint. Among the models, NNE exhibited the best performance, achieving near-perfect accuracy with minimal error metrics (MSE = 0.000212, RMSE = 0.01456 in training; MSE = 0.0001696, RMSE = 0.01302 in testing). SAE demonstrated moderate accuracy with reliable generalization, while WAE showed high variability in training and weaker performance, despite improvement in the testing phase. This study highlights the superiority of nonlinear machine learning models, particularly Neural Network Ensemble (NNE), in accurately modeling the thermal behavior of the sample. It also provides a foundation for optimizing natural materials for thermal storage, recommending material modifications, expanded datasets, pilot-scale studies, and economic assessments. It further underscores the potential of integrating advanced machine learning techniques with natural materials to create scalable, sustainable energy systems, addressing critical environmental challenges in the transition to renewable energy.
Innovation management in economic development: the role of industrialization strategy
Authors: Ikrame Hai , Mohammed Abdellaoui
Published: February 2025

This research paper delves into the crucial role of industrialization strategies in the economic development of Morocco. The study uses a combination of historical analysis, economic theories, and empirical data to examine the interplay between various industrialization models – namely Import Substitution Industrialization (ISI), Export-Oriented Industrialization (EOI), and Strategic Industrialization – and their impacts on economic growth. The analysis underscores the significance of industrialization in fostering job creation, enhancing technological innovation, and driving GDP growth. Moreover, the research highlights the importance of developing a skilled workforce to effectively implement these industrialization strategies, as human capital plays a pivotal role in sustaining growth. By identifying successful case studies from comparable economies, this paper offers a framework for Morocco to adapt and innovate its industrial policies, ensuring a more resilient economic future. The research identifies key drivers of industrialization, such as technological advancements, access to capital, and government policies, while conducting an econometric analysis of Morocco’s industrial landscape, explicitly focusing on extractive industries, manufacturing, and electricity production. Results indicate that while manufacturing industries significantly contribute to economic development, extractive industries show limited impact, and electricity production does not considerably influence growth rates. This paper emphasizes the need for tailored industrialization strategies aligning with Morocco’s unique socio-economic context to promote sustainable economic growth. The findings serve as a vital resource for policymakers and stakeholders, advocating for context-specific approaches that harness the potential of industrialization to overcome developmental challenges. Ultimately, this research contributes to the broader discourse on industrialization within development economics, offering valuable insights for improving economic resilience in Morocco and similar developing nations.
The influence of employee fit dimensions on job satisfaction and intention to stay in selected South African municipalities
Authors: Masoka Josiah , Nyongesa Wesonga Justus
Published: February 2025

This study looked into the impact of employee fit aspects, such as person-job fit, person-environment fit, and person-organization fit on work satisfaction and intention to stay in several South African towns. Data from employees in various departments and levels of the municipality were obtained using a quantitative research design. Standardised measurement devices were used to evaluate employee fit dimensions, work happiness, and intention to stay. The findings show that employee fit characteristics have a positive link with job satisfaction and intention to stay. Higher degrees of person-job fit, person-environment fit, and person-organization fit were linked to enhanced job satisfaction and intention to stay with the organisation. These findings highlight the significance of matching individuals to their job positions, work environments, and organisational cultures to enhance employee well-being and retention. Theoretical implications emphasise the importance of person-environment fit theory, social exchange theory, and organisational support theory in understanding the mechanisms that underpin these interactions. Practical implications include that South African municipalities' human resource management policies should prioritise the measurement and promotion of employee fit characteristics in order to build a good work environment and increase employee engagement and retention. Overall, this study adds to the current literature on organisational behaviour and human resource management by giving empirical evidence of the favourable effects of employee fit characteristics on job satisfaction and desire to stay within municipal contexts in South Africa.
Research of the global higher education market and of the use of artificial intelligence in this field
Authors: Malyshev Viktor , Gab Angelina , Shakhnin Dmytro , Lipskyi Yurii , Kovalenko Viktoriia , Orel Olga
Published: February 2025

The object of the study is the status, segment analysis, dynamics and prospects of the global markets for higher education and artificial intelligence in higher education.
The analysis and systematization of literature data allowed to summarize the results of research in the field of marketing research of higher education markets and artificial intelligence in higher education.
To conduct a marketing analysis, the method of literature search and the method of analysis were applied. The main trends, volumes, rates and factors of growth of the higher education and artificial intelligence markets in the field of higher education, as well as some limitations of their development are presented.
The analysis of the higher education market is carried out by the following segments: geographical regions, mode of study, educational levels, sources of income, educational institutions, and the market of artificial intelligence in education – market components, deployment mode, technologies, applications, geographical regions.
The potential demand and volume of higher education and artificial intelligence markets in the field of higher education in different countries of the world are determined, the dynamics and competition in the world markets are tracked. The state of the art and prospects for further research in the field of higher education and artificial intelligence in education are summarized.
The following scientific methods were used: the method of searching for literature data on the topic under study; the method of analyzing literary sources; comparative analysis of different methodological approaches; content analysis of documents; the method of systematization and classification in conducting research on the achievements of modern science and technology in the field of higher education and the use of artificial intelligence in higher education.
The systematization of literature data allowed to present the problems of higher education and the use of artificial intelligence in higher education in the form of tables and diagrams, which gives a certain advantage for understanding and using the material.
Priorities of digitalization in international trade: the experience of driver countries in digital transformation
Authors: Osadchuk Valeriia
Published: February 2025

Digitalization has fundamentally transformed the landscape of international trade, unlocking opportunities to enhance the efficiency, transparency, and accessibility of trade processes. This study analyzes the priorities of digital transformation in international trade with a focus on the experiences of leading countries. Secondary data sources were used, including global reports, such as the Global Digitalization Index by Huawei, the E-Government Development Index, the World Digital Competitiveness Index, the Global Innovation Index, and the Digital Intelligence Index with its subindices: Digital Evolution and Digital Trust. Additionally, the AI Preparedness Index (AIPI) by the International Monetary Fund was employed to provide insights into countries' readiness to adopt artificial intelligence.
Trends in digitalization and trade were explored using data visualization and statistical analysis. Through correlation analysis, the index with the highest correlation to the World Digital Competitiveness Index was identified, allowing for a deeper examination of the factors influencing the digitalization of economies and trade over the past decade. The case study method was applied to analyze the top 10 countries, revealing best practices, lessons learned, and recommendations for leveraging digital technologies to enhance trade development.
The study's findings highlight the critical role of digital infrastructure, e-commerce penetration, ICT adoption levels, and regulatory frameworks in shaping trade dynamics. The conclusions offer practical recommendations for policymakers and stakeholders aiming to optimize digitalization strategies and improve competitiveness in international trade.
Healing the Waters
Authors: Achikeobi-Lewis Omileye
Published: February 2025

In this paper I put forward the African and Shamanic  belief of the Daoist tradition  that ancestors and their memory are real, passed on from generation to generation. This memory includes the trauma memories of enslavement, and post slavery.  
This understanding becomes important in the field of trauma and grief healing, as the transmission of  ancestral trauma and grief memory, from one generation to another is not fully understood.  This has wide implications for those of African descendants who have suffered from ancestral, historical and continuous trauma. And for all who have suffered harm to the body, mind, and spirit resulting from loss of land, home, culture, and torture in its many forms.
I examine the images of Kwame Akoto-Bamfo Memorial Heads installed in water, as a visual way to guide and lead this discussion. Understanding the transmission of ancestral trauma especially in relation to African descendants is like climbing the Mount Everest of the Trauma field. If this trauma can be understood more fully, recognition that such trauma exist can open the field of trauma to profound exciting ways on how to effectively shift these sort of trauma memories up and out of the memory of the waters of the body. Above all, we give dignity to those who suffer from ancestral traumas of this magnitude by acknowledging their trauma is real.
Whale grief: Episodes I + II
Authors: Cull Ó Maoilearca Laura
Published: February 2025

In this piece, Laura Cull Ó Maoilearca offers two stories that approach the experience of grief and loss from an interspecies perspective with a particular focus on whales. Whilst much mainstream debate and academic literature continues to frame grief as exclusively human, or to position human grief as the standard for grieving per se, Cull Ó Maoilearca follows the work of anthropologist Barbara King (2013) amongst others to attend to whales as both the subjects and objects of grief.  Mapping entanglements of oppressions stemming from speciesism, colonialism, capitalism and racism, the first story mourns the loss of animals including two beluga whales in the 1865 fire at P. T. Barnum's American Museum. The second story attends to the specific case of Tahlequah: the orca who in 2018 pushed the body of her newborn, which died shortly after birth, with her snout for 17 days, in what whale biologists called ‘a show of grief’.
Female Pheromone Associated with Male Attraction in a Medical Interest Recluse Spider Loxosceles intermedia (Araneae; Sicariidae)
Authors: Fischer Marta Luciane , N. Ramires Eduardo , Delay Carlos , Frensch Gustavo , Schulz Stefan , M. da Silva Emanuel , H. L. N. S. Maia Beatriz , A. Marques Francisco
Published: February 2025

The high abundance of the recluse spider Loxosceles intermedia Mello-Leitão, 1934 inside buildings in Curitiba, Southern Brazil, suggests that the encounters between males and females are not random, but instead mediated by chemical cues. An analysis of the male and female cuticular extracts revealed that females release two exclusive cuticular compounds: geranyl acetate and geranyl acetone. Bioassays were conducted using female body extracts and maleand female-specific compounds at short distances, and with live males and females as well as female-specific compounds at long distances. Males interacted significantly more with female body extract and female-specific compounds at short distances and were more attracted to female-specific compounds at long distances. However, when live spiders were used as stimuli, females attracted both males and females but responded more intensely to males. This suggests that females, upon detecting the presence of males, display a motor identification pattern signaling their presence, facilitating the approach of the males. These results support the hypothesis that the reproductive behavior of L. intermedia involves multiple signals, primarily vibration and chemoreception.
Lead agile with goals : The OKR method – application in a savings bank
Authors: Klein Norbert
Published: February 2025

To achieve their corporate goals, savings banks in Germany use several controlling-systems. These systems are often combined with assessment-systems for the employees. Mostly they are carried out annually, for example as part of discussed conversations. But are these systems still suitable to steer the contributions of individual em-ployees to achieve the company goals in a more and more dynamic world? The OKR method (O stands for “Objectives”, KR stands for “Key Result”) a possible alternative. The OKR method was used in the examined medium-sized savings bank for three years. After the first few runs it became clear that a modification becomes necessary. For this purpose, the author (together with a manager of the savings bank) used the results from the OKR reviews were evaluated. A new concept was created for an adapted application of the OKR method for savings bank. The findings are not just interesting for savings banks, but for all companies who deal with the OKR method.
The Patterns of Internationalization and Business Process Outsourcing (Bpo) as Keys of Business Internationalization for Multinational Companies
Authors: Benabed Anis
Published: February 2025

This paper analyzes and presents the outlines of business process out-sourcing (BPO) for multinational companies. The methodology of research started with an initial literature review then to go further with the research there was a focus on data analysis and description, The research has focused as well on ana-lyzing the OLI model for BPO and internationalization by suggesting BPO in the model for multinational companies. According to the analysis and results, BPO is relevant for both domestic and multinational companies but some features and re-strictions may be possible during the process. Restrictions, strengths, weaknesses and risks that should be taken into consideration by the company that would like to operate as multinational or remain domestic. In conclusion, BPO has become a common contemporary business model with a number of companies seeking to outsource variable costs as much as possible, to establish market relationships with subcontractors and to focus on design and management of the value chain for busi-ness values but a resilience plan to mitigate risks during BPO and internationali-zation is very important.
The challenges facing rural population and the potential of sustainability of rural development in Morocco
Authors: Samir Zouhair , Pappné Vancsó Judit
Published: February 2025

Morocco, the fifth-largest economy in Africa, similar to its neighbor-ing developing countries, its rural development is still a work in progress. However, during the last decade, the country has successfully reduced rural poverty and many other aspects relating to the physical and social infrastructures in these remote areas mainly by focusing on fostering agricultural development. The paper provided an overview of rural development and its potential sustainability in Morocco, relying on the journal articles, as well as the available data and censuses provided by the government. The results were organized into the four main pillars of sustainability to explore and examine the challenges facing rural population and development from the sustainability aspect. The review concluded that in the last decades, the government has successfully elevated and stimulated rural development. However, many challenges still face sustainability, mainly the high illiteracy rate which makes it harder to implement sustainable practices, and the infrastructure that is not yet sufficient to foster this transition.
Enhancing multi-step-ahead algal bloom forecasts in river ecosystems by a hybrid recursive deep learning model
Authors: Xu Hanbing , Wang Xue , Zhou Yanlai , Xia Tianyu , Chang Fi-John , Xu Chong-Yu
Published: February 2025

River algal blooms pose a significant environmental threat, necessitating accurate forecasts and timely warnings for effective prevention. This study proposes a novel hybrid model, combining an external recursive long short-term memory neural network based on encoder–decoder (RLSTM-ED) with a backpropagation (BP) neural network, denoted as RLSTM-ED-BP. A dataset comprising 34,992 hydrological, climatic, and water quality (4-hourly) observations from the Hanjiang River Basin in China was divided for model training and testing. Comparative analysis with an RLSTM baseline demonstrated that the RLSTM-ED-BP model enhanced the Nash–Sutcliffe coefficient (NSE) by more than 5% and reduced the root mean square error by over 10% during the 24-h forecast horizon. The RLSTM-ED-BP model yielded NSE and threat score values exceeding 0.95 and efficiently provided early warnings for algal bloom events. The model's enhanced performance contributes to the generalizability of deep learning approaches in addressing the critical environmental challenge of algal blooms.
Regional joint regulation mode for flood control in plain cities: addressing extensive heavy rainfall
Authors: Liu Qianting , Zhang Zhiming , Liangrui Yang , Zhe Wang
Published: February 2025

Establishing a coordinated flood storage and drainage joint regulation mode for various cities can effectively mitigate the disaster risk associated with extensive heavy rainfall. This study introduces a novel concept of joint regulation of urban agglomeration based on watershed features and spatial topological norms. From the perspective of urban agglomeration, three new modes are proposed to guide flood storage and drainage in plain cities: (1) storing before discharging, (2) discharging before storing, and (3) discharging while storing. The modes aim to facilitate coordination among neighboring cities in an urban agglomeration and enhance the temporal and spatial coordination of flood storage and drainage. Multi-layer tree rules are established to allocate modes to cities based on the spatial characteristics of flood risk, storage, and drainage performance. The fact case proves that the mode has certain practical applicability. There are 35, 151, and 30 plain cities that use DS, DWS, and SD modes, respectively, out of 221 total. Most urban agglomerations employ at least two different joint regulation modes. The multi-layer tree rules for mode allocation presented in this study provide theoretical guidelines for flood management in plain cities across various regions.
Temperature Development and Heat Control Analysis In Palu Bridge Pile Cap And Pillar
Authors: Irmawan Mudji , Boyke Christino , Yudoprasteyo Kohar , Rosyidi M. Fadhlan
Published: February 2025

Aim

The research aims to evaluate the efficiency of multi-stage pouring and internal cooling water circulation in mitigating thermal cracking in the Palu Bridge's pile cap and pillar. Using 3D finite element analysis (FEA), it assesses compliance with ACI 301 standards and provides practical guidance for optimizing mass concrete construction based on time and budget constraints.

Background

Mass concrete structures, like the pile cap and pillar of the Palu Bridge, face significant risks of thermal cracking due to the heat of cement hydration. Such thermal stress compromises structural integrity, necessitating effective temperature management strategies.

Objective

This study aims to analyze and compare the efficiency of two temperature control methods—multi-stage concrete pouring and internal cooling water circulation—in maintaining temperature levels within ACI 301 standards during the construction of the Palu Bridge pile cap and pillar.

Methods

A 3D finite element analysis (FEA) was conducted to simulate temperature profiles during concrete hydration. Simulations were validated using a small-scale physical model, and scenarios incorporating staged pouring and cooling pipes were evaluated for compliance with industry temperature thresholds.

Results

The staged pouring method resulted in a maximum core temperature of 68.81°C and a differential temperature of 20.93°C while cooling pipes reduced the maximum temperature to 58.69°C with a differential of 13.16°C. Both approaches kept temperature levels below ACI 301 standards, ensuring structural integrity. The physical model closely mirrored the FEA results, validating the methodology.

Conclusion

Both temperature control strategies effectively mitigate thermal cracking risks. Staged pouring is cost-efficient but time-intensive, whereas cooling pipes offer faster construction at a higher cost. The selection of methods should consider project budget and timeline constraints.