bluuebunny/crossref_metadata_2025 huggingface dataset:
Information systems of deciphering images using aerospace technologies
Authors: Maruschak Vasyl M. , Volynets Taras V.
Published: February 2025

The work is devoted to solving a scientific and practical task, which consists in the development of methods, technologies and means of creating an information system for deciphering images using aerospace technologies. Modern aerospace technologies are a tool for obtaining highly accurate data on the state of the environment, natural-technical complexes and infrastructure facilities. In addition, remote sensing of the Earth (DSR) allows to quickly obtain images of the surface of the studied territory at various spatial and spectral levels, which contributes to a more detailed analysis of ecological processes, monitoring of territories, assessment of the consequences of anthropogenic activities and armed conflicts. In the conditions of the rapid development of space technologies, the application of information systems for deciphering satellite and aerial photographs is relevant. The purpose of the work is to decipher the image to obtain an official object of reliable documentary data about the area and the objects located on it. This includes the identification, analysis and interpretation of the received images for the prompt introduction of changes in the territories, assessment of the condition of infrastructure facilities, natural and man-made systems. The obtained data contribute to effective monitoring and decision-making in the areas of environmental management, environmental protection, as well as in situations related to ensuring national security.These systems are based on methods of automatic recognition and visual analysis, which allows to significantly increase the speed and accuracy of identification of objects, changes in the environment and risk forecasting. Cosmosphere and others, opens opportunities for detailed analysis of man-made impacts, identification of ecological threat zones, monitoring of the condition of forest areas, water resources and other key components of the ecosystem.
Technical and Economic Analysis of Servers as Computing System Modules of the Warehouse Scale Computer Class
Authors: Petushkov Grigory V. , Sigov Alexander S.
Published: February 2025

Objectives. The work set out to technically and economically analyze servers as computing modules of computing systems of the warehouse scale computer (WSC) class.

Methods. The research was carried out using the methods of mathematical analysis and modeling.

Results. The article provides a technical and economic analysis of computing modules or servers. Servers are created on the basis of Xeon (Intel) class microprocessors and the like. An overview of the microprocessor subclasses is given along with an indication of server organization options, as well as their main components and primary areas of use. Server reliability is a complex property that may include durability, maintainability and persistence, or certain combinations of these properties depending on the purpose of the object and the conditions of its use. To ensure maximum reliability, backup elements, including arrays of disks and power supplies, as well as backup servers, are used alongside special solutions, including the use of hot swapping and connection, checking and correction of random access memory errors, and temperature control of server compartments.

Conclusions. The review of options for organizing servers and their main components allows permits the conclusion that their operation is sufficiently reliable. However, servers integrated into the WSC class have special requirements, namely, continuity of operation in 24/7 mode for long periods of time. This requires the development of methods for assessing the reliability of such highly reliable systems, including backup elements, in relation to hardware and software failures, as well as methods for predicting failures and measures to combat their consequences.
Optimization of signal constellations with amplitude-phase shift keying in communication channels with non-fluctuating interference
Authors: Kulikov Gennady V. , Dang Xuan Kh. , Lelyukh Andrey A.
Published: February 2025

Objectives. Multi-position amplitude-phase shift keying (APSK) with a ring-shaped signal constellation is one of the most effective ways for transmitting discrete information in satellite systems. The use of APSK is regulated by several standards. The main are DVB-S2 and VSAT which define both the modulation parameters, and the parameters of the signal constellations. The aim of the paper is to determine the best constellations of 16-APSK and 32-APSK, and provide a minimum BER for cases when the communication channel, along with noise, contains non-fluctuating interference.

Methods. Methods of statistical radio engineering, the theory of optimal signal reception, and computer modeling were used.

Results. The optimization of ring-shaped constellations of 16-APSK and 32-APSK signals is attained by changing the distribution of points along the radius and phase for a case in which the communication channel, along with noise, contains non-fluctuating interference: frequency-shift keyed, retransmitted, phase-shift keyed, and harmonic ones. The best constellations of 16-APSK and 32-APSK are determined, and a minimum bit error rate is provided.

Conclusions. In order to improve the quality of communication in information transmission systems in the presence of non-fluctuating interference, the existing constellations 16-APSK (4, 12) and 32-APSK (4, 12, 16) can be used by changing the ratios between the radii of circles 2.5 for 16-APSK and 2.5/3.9 for 32-APSK. Due to the more efficient use of signal power, the use of constellations with a zero-amplitude point for 16-APSK allows reception noise immunity to be increased. For example, when using constellation (1, 5, 10), the energy gain compared to the standard constellation (4, 12) can reach 1 dB.
Dengue and Dengue Virus in Florida
Authors: Ortiz Yasmin V. , Pérez-Ramos Daniel W. , Caragata Eric P. , Thongsripong Panpim
Published: February 2025

This publication provides an overview of dengue fever, focusing on its epidemiological landscape in Florida. Dengue, caused by dengue virus and transmitted through the bites of infected Aedes mosquitoes, is a major global health concern. Florida has experienced local dengue transmissions, and the incidence of dengue is increasing in the state. The biology and ecology of the primary vectors, Aedes aegypti and Aedes albopictus, play  important roles in the disease's transmission cycle. No vaccine and no specific antiviral treatments are yet available, and diagnosis is difficult because dengue symptoms overlap with those of other, similar febrile illnesses. Prevention and control strategies, such as mosquito management, are therefore crucial to mitigate disease risks. Alongside urbanization, climate change, and globalization, incidence of dengue is increasing in Florida. Continued vigilance and research will help to combat this public health threat.
Study of the Loads of the Load-carrying System Depending on the Parameters of the Hinged Connection of the Half-frames
Authors:   Kharkiv National Automobile Highway University, Sherbak Oleh , Suminov Andrey ,   Kharkiv National Automobile Highway University, Khachaturian Serhiy ,   Central Ukrainian National Technical University
Published: February 2025

This work is the first part of a series of studies of the hinge joint of the bearing system of a front loader with a lifting capacity of 3 tons. For comparison, the concept of building a frame of Western manufacturers with approximately the same load capacity was chosen and a 3D model of the new frame was created in four to three variants with different sizes of the connecting hinge. The situation when a forklift encounters an insurmountable obstacle while picking up material in a bucket is considered. The loads at the upper and lower joints of the half-frames and the load of the entire frame were analyzed. The calculations were performed in dynamics using the Ansys software package for engineering analysis and numerical modeling using the Motion calculation module. The same conditions (boom position, time and speed of movement) were taken as the initial data for all prototypes of the new bearing system. Computer modeling allows us to simulate various scenarios of the loader's load-bearing system behavior during the work process in a short time. In this way, we get results that can be used to identify design weaknesses and make changes at the design stage, and we save material, time, and money for the production of the first samples of new equipment.
This method of computer simulation of machine operating processes allows a complete assessment of the behavior of the supporting system and other elements of the machine and draw conclusions about design flaws in a short time, without manufacturing a metal product and conducting full-scale tests.
In addition, it is necessary to obtain a general understanding of the loads in various situations, for example, when the center of the bucket comes into contact with an obstacle, when the angle of the bucket is changed, when moving a full bucket to a dump point, when driving the loader on an uneven surface, when driving on a slope, and others work processes. Further analysis should be carried out to obtain an overall picture of the loads in various situations, such as when moving the forklift to the unloading point, when moving the forklift on uneven ground, when driving on a slope and during other work processes. After obtaining the overall picture, you can begin to design a supporting system with optimal parameters.
Synthesis of Storage and Loading Hoppers with Elements of Automation
Authors:   Ternopil Ivan Puluj National Technical University, Нevko Ivan , Diachun Andrii ,   Ternopil Ivan Puluj National Technical University, Rohatynskyi Roman ,   Ternopil Ivan Puluj National Technical University, Dovbush Taras ,   Ternopil Ivan Puluj National Technical University, Buchynskyi Volodymyr ,   Ternopil Ivan Puluj National Technical University
Published: February 2025

The purpose of the article is to generate effective designs of storage and loading hopper systems with automation elements based on the application of structural-schematic synthesis by the method of hierarchical grouping using morphological analysis. The use of this method of carrying out structural-schematic synthesis makes it possible to obtain a limited number of design solutions for hoppers, taking into account the gradation of requirements that are applied to them in the process of their development. It allows to significantly save time and resources spent on the search for more effective alternatives.
The generation of efficient designs of storage-loading hopper systems with automation elements was carried out based on the application of structural-schematic synthesis by the method of hierarchical grouping with the help of morphological analysis. As a result of the conducted synthesis, 57 variants of design solutions of storage and loading hoppers were obtained, the schemes of six of them are shown in the figures. Their advantages are the ability to change the volume of accumulation, the possibility of disturbing the bulk medium and avoiding its jamming, ensuring the forced intensive supply of materials when unloading from hoppers, the ability to loosen bulk materials and ensure uniform loading of the conveyor.
A scheme of an automated adaptive limit control system for a screw conveyor with a storage-loading hopper has been developed, which provides a constant value of the given production parameters, in particular, the productivity of bulk materials transportation, the power of the screw drive under the influence of various external factors. By changing the number and composition of the elements of this system, it is possible to generate various design schemes of storage and loading hoppers with automation elements.
Design of Restrained Roof Purlins, Taking Into Account the Stiffness of the Profiled deck
Authors:   Pryazovskyi State Technical University, Hudz Serhii , Fenko Oleksii ,   National University «Yuri Kondratyuk Poltava Polytechnic», Dariienko Viktor ,   Central Ukrainian National Technical University, Portnov Hennadii ,   Central Ukrainian National Technical University
Published: February 2025

The purpose of the study is to analyse internal forces and deformations in the roof purlins restrained by profiled decking, taking into account as many factors as possible that have a significant impact on the cross-sectional utilisation factor in terms of normal stresses, which is an important factor in efficiency and material consumption.
The following assumption was confirmed in this research paper. If a profiled flooring is rigidly attached to the upper flange of a steel purlin in light-roofed frame buildings using self-tapping screws and is interconnected by rivets at the longitudinal joints, it can effectively prevent torsion and lateral bending and be used to counteract the lateral-torsional buckling of the beam. The peculiarities of checking the stability of continuous purlins as part of a roof were investigated and the effectiveness of open cross-sections of hot-rolled profiles was compared on this basis. Practical recommendations for reducing the material consumption of purlin systems by rationally selecting the type of cross-section are given. The conclusion is made on the basis of a geometrically nonlinear analysis of the stress-strain state in accordance with the full theory of beams, taking into account imperfections and stiffness of lateral bracing structures. Preference is given to purlins made of rolled I-beams, which, due to their symmetry, have smaller eccentricities of load application and internal forces by restraint, unlike channels.
The analysis of the stress-strain state based on the full theory of beams and the spatial deformation model, which are in good agreement with each other, allows us to confirm the assumption that when roof purlins are restrained by profiled decking, they can be simplified in the elastic stage only for the main load in the plane of greater stiffness without the use of weights. The pitched component of the load at typical roof pitches of no more than 15º will be largely absorbed by the sheathing itself, and its value is insignificant and can be neglected in comparison with the effect of the prevailing load component in the main bending plane.
The Effectiveness of investments in the tourism Industry of the Republic of Kazakhstan
Authors:   L.N. Gumilyov Eurasian National University, Berdibekova A. , Biryukov V. ,   Abylkas Saginov Karaganda Technical University, Mutaliyeva L. ,   L.N. Gumilyov Eurasian National University
Published: February 2025

Tourism is a specific branch of the economy, therefore, the
assessment of the effectiveness of investments is relevant, which was the content of this article. To enhance the investment activity of the tourism industry, it is necessary to assess the objective resource capabilities of the industry, infrastructure and destinations. It is determined that the effectiveness of tourism is not always the volume of
investments, but the possibility of attracting investments with maximum return and high intensity. Investments in tourism are carried out through: government programs, investments of quasi-governmental structures, the private sector, public-private partnerships. The purpose of the article is to evaluate the results of investments in the tourism industry to increase its activity. The idea of the article is the need to evaluate the effectiveness of investments and what indicators are recommended for this.
The research is based on a statistical database and a survey.
The value of the study lies in assessing the effectiveness of measures for the development of tourism, and the results obtained can be applied to analyze its development.
Education in digital transformation, along with its opportunities and challenges to rising economies
Authors:   Tashkent State University of Economics, Karlibaeva R. , Karlibaeva G. ,   Tashkent State University of Economics
Published: February 2025

Significant progress has been made in the field of fake ideas in recent times. OpenAI has pioneered in this area, regularly initiating research. The ChatGPT dialect show has attracted considerable attention due to its remarkable
ability to process ordinary dialects. The potential of this innovation to upgrade education, especially in developing countries, requires a comprehensive investigation of its expected impact. The essential objective of this study is to
conduct a thorough assessment of OpenAI, particularly ChatGPT, in connection to the educational environment of developing countries. Utilizing the basic record examination strategy, this reflection explores key aspects of ChatGPT, including its ability to offer adaptive and personalized learning, providing high-quality instruction, and support dialect, among other benefits. This research offers a comprehensive consideration of the key interest and limitations associated with this innovation. Its objective is to upgrade our understanding of the potential affect it may have on education in developing countries, accomplished through a broad assessment of ChatGPT.
Knowledge, perceptions and practices associated with timing for breast cancer screening among female students at the University of Zimbabwe: A cross-sectional study
Authors: Chikuvadze Peter , Nkhoma Grace , Mhlanga Maxwell , Ndaimani Augustine
Published: February 2025

Background: Breast cancer remains one of the leading causes of cancer-related mortality among women globally. Early detection through screening is crucial for improving outcomes. However, knowledge gaps, misconceptions, and poor practices around screening timing persist among young women. This study explores the knowledge, perceptions, and practices related to breast cancer screening among female students at the University of Zimbabwe. It aims to inform nursing practice by highlighting the critical role nurses play in addressing these gaps through education, awareness, and guidance on screening timing.
Methods: This analytical cross-sectional study employed random sampling to recruit participants at the University of Zimbabwe from March 4 to April 8. A structured questionnaire with three sections, consisting of closed-ended questions, was used to assess demographic characteristics, as well as knowledge, perceptions, and practices related to breast cancer screening. Data were analyzed using STATA 15, with descriptive statistics presented in tables and figures. Associations between variables were tested using Chi-square, Fisher’s exact tests, and binary logistic regression.
Results: Of the 139 participants, 85% were aged 20-25, single, and undergraduates. Among all age groups, 54% did not perform breast self-examinations. Participants aged 36-40 had significantly higher odds of late screening (OR=17.8, p=0.014) and married participants also had higher odds of later screening (OR=4.42, p=0.009) compared to single participants. Participants who perceived that a healthy diet reduces breast cancer risk had lower odds of late screening (OR=0.32, p=0.021). Participants who knew the recommended age of Breast Self-Examination had higher odds of late screening (OR=2.5, p=0.027). Participants with religious and cultural beliefs influencing their decision-making were significantly more likely to present late (OR = 3.21, p = 0.030).
Conclusion: Socio-demographic factors and health-seeking behaviors significantly influenced breast cancer screening timing. Nurses are pivotal in promoting early screening through tailored health promotion strategies, including raising awareness, addressing misconceptions, and encouraging self-examination practices.
Intelligent Waste Segregation System Using Convolutional Neural Networks for Deep Learning Applications
Authors: Rahmawati Siti Solehah Yunita , Maharani Desy Khalida , Munada Wina
Published: February 2025

Efficient waste management is essential for environmental sustainability and reducing landfill burdens. This study proposes an Intelligent Waste Segregation System leveraging Convolutional Neural Networks (CNNs), specifically the VGG-16 model, to automate the classification of waste into recyclable and non-recyclable categories. The purpose of this research is to enhance waste sorting accuracy and efficiency using advanced deep learning techniques. The system employs VGG-16, pre-trained on a large dataset, and fine-tuned with a waste image dataset, enabling high precision in recognizing waste types. The methodology includes dataset preprocessing, model training, and performance evaluation using metrics such as accuracy, precision, and recall. Experimental results demonstrate that the proposed system achieves a classification accuracy of 96%, surpassing existing traditional methods. The implications of this research include improving recycling processes and reducing environmental pollution through accurate waste segregation. This system has practical applications in urban waste management and recycling facilities, providing a scalable solution to global waste challenges. The findings highlight the potential of CNN-based models, particularly VGG-16, in addressing critical environmental issues. In conclusion, the proposed system offers an effective approach to automated waste segregation, paving the way for sustainable waste management practices through deep learning applications.
Assessment of Cultural Sensitivity in the ChatGPT’s Translation of the Acehnese Chronicle ‘Ali Peureudan’
Authors: Sabrina Sabrina , Takary Ghazali
Published: February 2025

Cultural sensitivity is an integral aspect in translation to ensure the preservation of context and meanings, allowing the readers to grasp the intended meanings; however, this aspect was often omitted and still highly under-researched. The research aimed to examine cultural sensitivity in the ChatGPT’s English translation of the Acehnese Chronicle of Ali Peureudan originated from Aceh Province, Indonesia. The story contains culturally-specific phrases in Acehnese and Arabic languages. The research was a Comparative Literary Analysis which is descriptive qualitative in nature.  The source text (ST) and Target Text (TT) generated by ChatGPT were compared and analyzed carefully using the Translation Quality Assessment developed by Juliane House (2015). There were 26 cultural phrases in total under analysis. The results revealed that 85% of ChatGPT’s renditions of culturally-bound terms were covert, which means that the phrases were adapted to the target language norms (English), such as Allah as ‘God’, Insya Allah as ‘God willing’, and ‘Surat’ as ‘Wish’, causing a loss of cultural nuance, generalization, semantic narrowing, and meaning distortions. Only 15% of the analyzed phrases were translated overly by maintaining their original versions, avoiding diminution of cultural meanings. Of the 15%, only a single word was found to be kept intact in its original version yet accompanied by a meaning description, namely the word Alhamdulillah (Praise be to God).  Such strategy protects its originality, avoids erasure of cultural details, as well as provides understanding to the target readers of its intended meaning. This research concludes that ChatGPT still lacks cultural sensitivity in rendering a literary work. This research is expected to be a foundation for those using ChatGPT as a translation tool for such culturally sensitive texts, and provide an input to ChatGPT developers to improve its system for more accurate rendition.
Depth Study of User Purchase Influencing Factors in Platform E-commerce under the Background of Big Data and AI
Authors: Tang Na , Han Yixuan , Wu Yanlin , Sun Fuli , Lai Xinyue , Huang Bingyan
Published: February 2025

Taking Taobao as a typical platform e-commerce, this study is devoted to exploring how big data and artificial intelligence technology can empower platform e-commerce and affect users' purchase intention. This paper adopts the empirical research method, collects data through online questionnaire, uses spss26 for regression analysis, and adopts the gradient lifting algorithm of machine learning model for data verification. The research results show that marketing activities such as "precise placement", "personal privacy", "product details" and "product ranking", which rely on big data and artificial intelligence technology, are the key factors affecting Taobao users' purchase intention, and their impact coefficients are 0.57, 0.135 and 0.288 respectively. Inventory management, profile building and personalized recommendations are also important factors. This paper takes the Consumer Behavior Analysis Model (AISAS) as the theoretical basis, and puts forward corresponding suggestions for Taobao platform e-commerce to enhance user attention, interest, search, purchase and sharing under the background of big data and artificial intelligence technology application.
Design of an Academic Services Chatbot at Asia Institute Malang
Authors: Djawa Antonio Eka Wadu , Ahda Fadhli Almu'iini
Published: February 2025

This study successfully developed and evaluated an academic services chatbot utilizing Natural Language Processing (NLP) and Artificial Neural Networks (ANN), showcasing a comprehensive methodology that encompassed data collection, preprocessing, model training, and performance evaluation. We meticulously derived the dataset from frequently asked questions at the Asia Institute of Technology and Business Malang, ensuring its relevance and applicability to the target audience. Rigorous preprocessing techniques, including tokenization, stemming, and stop words removal, were employed to enhance the quality of the input data for the ANN model, which significantly improved its performance. The training results revealed a strong correlation between the number of training epochs and the accuracy of the chatbot's responses, indicating that increased training led to enhanced performance. Furthermore, a Cronbach's Alpha coefficient of 0.965 confirmed the validity and reliability of the measurement tool for user feedback, highlighting the robustness of the collected data. User testing involving 37 students indicated a high level of satisfaction with the chatbot's performance, as it achieved a perfect accuracy score of 100%. These findings highlight the potential of NLP-based chatbots to enhance academic information services, effectively addressing student inquiries while significantly reducing the workload on academic staff. This study serves as a valuable model for other educational institutions aiming to implement AI-powered solutions to improve their academic support services and overall student experience.
Cryptocurrency Price Forecasting Using ARIMAX: Conceptual Framework
Authors: Mohamad Fuad Muhammad Fauzan , Din Mazura Mat
Published: February 2025

Cryptocurrency, a digital or virtual currency secured by cryptography, has become a dynamic and volatile asset class, presenting both opportunities and challenges for traders and investors. This study aims to develop a web-based application prototype for forecasting Bitcoin prices using the Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model. The ARIMAX model, known for its ability to integrate external factors into time series forecasting, is applied to historical Bitcoin price data, utilizing the Crypto Fear and Greed Index as an exogenous variable. By addressing the inherent volatility and unpredictability of Bitcoin's price movements, this study seeks to enhance the reliability of price predictions. Model performance will be evaluated using metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The resulting web application will deliver real-time price forecasts and analyses, empowering users to make informed decisions and manage risks more effectively in cryptocurrency trading. This research ultimately aims to contribute to advancements in predictive modeling techniques within financial technology, providing traders and investors with a valuable tool for navigating the complex cryptocurrency market.
SHIELD: Symptom-Based Hybrid Intelligent Early Learning for Disease Prediction
Authors: Fazil Akashah 'Asrul 'Azeem , Tajuddin Taniza
Published: February 2025

Traditional diagnostic approaches often face delays and inaccuracies, while standalone machine learning models fail to account for individual uniqueness. The SHIELD system leverages hybrid machine-learning models to enhance disease prediction based on patient symptoms. This study integrates Gradient Boosting, Decision Trees, and Random Forest models, combining their strengths using an ensemble voting approach. A comprehensive dataset from Kaggle, enriched with symptom severity mappings, enables accurate and personalized predictions. The system delivers practical outputs, including disease names, descriptions, and home remedies, through a user-friendly web interface. Achieving an accuracy of approximately 99.59% with the ensemble model, SHIELD demonstrates its potential to revolutionize early disease detection, aligning with global health objectives.
Pengembangan Kompetensi Guru dan Tenaga Kependidikan melalui Pelatihan Aplikasi Canva di MA Miftahul Ulum Purwakarta
Authors: Rahma Dea Wemona , Cahyadi Nanang , Muftikhali Qilbaaini Effendi , Fathiyana Rana Zaini , Ilmi Nurul , Yutia Syifa Nurgaida , Dharma Putra I Made Raditya , Setiadi Didi , Syamsutizar Muhammad Genta , Adelia Rahaguna Rahma Putri
Published: February 2025

Media ajar yang menarik dan interaktif dalam proses pembelajaran di sekolah maupun madrasah memiliki peran penting dalam meningkatkan motivasi dan minat siswa. Media ajar yang efektif tidak hanya berfungsi sebagai alat penyampaian materi, tetapi juga mampu menciptakan pengalaman belajar yang menyenangkan. Salah satu permasalahan utama yang dihadapi oleh MA Miftahul Ulum adalah adalah rendahnya penguasaan teknologi multimedia di kalangan guru dan tenaga kependidikan. Berdasarkan permasalahan tersebut, tim abdimas memberikan solusi berupa pelatihan dengan judul ”Pemanfaatan Teknologi Informasi dalam Meningkatkan Pembelajaran Berbasis Digital”. Kegiatan ini bertujuan untuk meningkatkan keahlian guru dan tenaga kependidikan dalam memanfaatkan aplikasi desain grafis Canva dalam mendukung kegiatan pembelajaran sehari-hari. Pelatihan dihadiri oleh 15 orang guru dan staf tenaga kependidikan dan berlangsung sekitar 2 jam. Hasil umpan balik dari kegiatan pelatihan menunjukkan bahwa para peserta merasa puas dengan materi pelatihan yang disampaikan karena sesuai dengan kebutuhan mereka. Para peserta juga puas dengan instruktur pelatihan yang menyampaikan materi. Para peserta merasa mampu mengaplikasikan Canva untuk membuat materi pembelajaran yang menarik dan efektif setelah mengikuti pelatihan.
Pelatihan Pengolahan Sampah Organik Menjadi Pupuk Padat dan Cair Di Bank Sampah Sultan Tanjung Kabupaten Lombok Timur
Authors: As'urin B. , Sulastri Sulastri , Junaidi Junaidi
Published: February 2025

Organic waste is an ongoing problem both in big cities and in villages. Along with the increasing population and lack of awareness of environmental damage due to ineffective waste management. Therefore, the government and the community have the task of completing waste management related training on managing organic waste into solid and liquid fertilizer at the Sultan Tanjung Waste Bank, East Lombok Regency, which was held to increase knowledge, skills and empower the community in effective and efficient waste management in Tanjung Village. . The service implementation team collaborates with LP2M as a resource person in the training. The results obtained from this service are as follows: a). This service received a positive response from the management of the Tanjung Sultan waste bank and the training participants (community) of Tanjung Village, however, further development and assistance is needed. b). Achieving an increase in public knowledge regarding the management of organic waste into solid and liquid fertilizer. c). There is a need to develop professional waste management.
Matrix Operators and bv Sequence Spaces
Authors: Anwar Khoirul , Supama
Published: February 2025

In this paper, we study about the matrix domain of the  sequence space by several triangle infinite matrices, namely the Cesaro mean of order one matrix, the Generalized Weighted matrix, and the Riesz matrix. Several things related to the matrix domain that will be observed include isomorphism of sequence spaces, -spaces, Schauder bases, -duals, -duals, -duals, and also the characterization of a mapping of a sequence space by some classes of matrix transformations. Furthermore, we also discuss inclusion relations of several matrix domains of the sequence space .
Un acercamiento a los juegos online a través de una etnografía virtual en Instagram
Authors: Rodolfo Noelia , Baglione María Florencia
Published: February 2025

Las plataformas de juegos online han adquirido mayor popularidad durante los últimos años como una nueva modalidad de los juegos de azar offline. Actualmente, estas actividades se reconocen como un problema social y sanitario que incrementa la cantidad de jugadores patológicos en el mundo. Es tras el advenimiento de la pandemia Covid-19 y las medidas sociosanitarias implementadas, que la oferta se diversificó y amplió. Frente a esta situación, las Tecnologías de la Información y la Comunicación (TIC) y las redes sociales, entre ellas Instagram, se constituyeron en herramientas indispensables para ejecutar, promocionar y difundir este tipo de actividades lúdicas.
Este trabajo tiene por objetivo indagar sobre las características y propiedades de los juegos online promovidos en la red social Instagram. Para ello, la metodología empleada fue de tipo cualitativa, con un diseño de investigación descriptivo-exploratorio. Así, se realizó una etnografía virtual que constó de tres momentos: observación participante, observación no participante y entrevistas semiestructuradas a cajeros y usuarios. Los principales resultados dan cuenta de que los juegos online son percibidos por los usuarios como una actividad ocasional o regular, con fines a entretenerse e incluso obtener un rédito económico; sin embargo, reconocen que su uso puede tornarse un gasto excesivo.
ЗАТРИМАННЯ УПОВНОВАЖЕНОЮ СЛУЖБОВОЮ ОСОБОЮ (СТАТТЯ 208 КРИМІНАЛЬНОГО ПРОЦЕСУАЛЬНОГО КОДЕКСУ УКРАЇНИ): ПРОБЛЕМИ ТЕОРІЇ І ПРАКТИКИ
Authors: Скрекля Л. І. , Богонюк Г. І. , Сосніна О. В.
Published: February 2025

У статті аналізуються особливості затримання уповноваженою службовою особою, яке полягає в обмеженні права на свободу та особисту недоторканність, здійснюється у чітко визначених кримінальним процесуальним законодавством України випадках та розглядається як тимчасовий запобіжний захід. Констатовано, що затримання уповноваженою службовою особою можливе як на підставі ухвали слідчого судді, суду, так і без такої. Обґрунтовано, що поняття «щойно» має охоплювати такий проміжок часу протягом якого можна було б в межах КПК України вчинити дії для отримання ухвали суду на затримання особи (повідомити особі про підозру; вручити повістку про явку до органу досудового розслідування; у разі такої неявки оголосити в розшук підозрюваного; звернутися з клопотанням до слідчого судді про обрання запобіжного заходу у виді тримання під вартою; клопотання про затримання і доставку у суд). Доведена необхідність об’єднати наявні бази в правоохоронних органах, органах державної влади, центрах надання адміністративних послуг, підрозділів сервісних центрів Міністерства внутрішніх справ України, органах реєстрації актів цивільного стану, виконавчої служби, органів пробації, медичних та навчальних закладів, нотаріусів, міграційної служби, пожежної служби тощо із Єдиним реєстром судових рішень, в частині наявності та спрацюванню ризиків щодо особи, якій надаються відповідні послуги, або проводиться перевірка. Слідом, запропоновано розробити та затвердити у встановленому законом порядку «Єдиний автоматизований реєстр забезпечення правосуддя» та зобов’язати слідчих суддів та суддів під час винесення ухвал про застосування заходів забезпечення кримінального провадження, в тому числі і затримання, невідкладно вносити відповідні відомості до такого реєстру. Запровадження «Єдиного автоматизованого реєстру забезпечення правосуддя» створить додаткові можливості щодо оперативного реагування на відповідні рішення слідчого судді (суду), слідчого та прокурора, а також автоматичного інформування системою про факт затримання (вчинення інших процесуальних дій), передбачених законом установ та їх посадових осіб.
Assessing the risk of greenhouse gas emissions from abandoned wells, Cruise No. AL575, 27 JUNE 2022 – 13 JULY 2022, Kiel – Kiel, GEOSTOR leak
Authors: Haeckel Matthias , Schmidt Mark
Published: February 2025

Cruise AL575 is fully embedded in the project GEOSTOR, which is part of the DAM mission
“Marine Carbon Sinks in Decarbonization Pathways”. The investigations contribute to the
assessment of the mechanisms and potential risks of CO2 leakage along boreholes drilled through
the sedimentary overburden above subseafloor storage formations in the North Sea. A total of 50
abandoned wells were investigated in the British sector of the North Sea with the ship's single- and
multi-beam echosounder systems, and at 4 selected boreholes showing hydroacoustic gas release
the gases, water column and sediments were sampled and gas fluxes were quantified during ROV
dives. In addition, the 9 abandoned wells in the GEOSTOR study area in the central part of the
German North Sea sector were surveyed hydroacoustically. Biogenic methane from shallow gas
accumulations in the upper 1000 m of the sediment strata is emitted at the abandoned wells. It rises
to the seafloor along a migration pathway introduced by the drilled borehole. The cruise allowed
to enlarge the dataset on gas leakage at abandoned wells collected during previous North Sea
cruises and increase our understanding of the underlying mechanism that serves as an analog for
CO2 leakage from storage units perforated by old wells.

(Alkor-Berichte AL575)
Translanguaging on Social Media by Educated Arabs
Authors: Reima Al-Jarf
Published: February 2025

Translanguaging is the ability to move smoothly between the languages that a person knows. A sample of Facebook posts written by a sample of educated Arabs was collected. All the participants are native speakers of Arabic and have a good command of English or French as English/French was the medium of instruction in their major area of specialization such as medicine, computer, and engineering. The study aims to find out whether educated Arabs are capable of communicating equally well in both English/French (L2) and Arabic (L1) especially that Arabic is diaglossic having a standard form used in school textbooks, print material and formal situations and a colloquial form used in daily communication with family and friends.  Data analysis showed that most educated Arabs are incapable of translanguaging. They communicate better and are more proficient in English/French than Arabic. Their weaknesses are manifested in their use of slang and Colloquial Arabic rather than Standard Arabic. Many completely ignore Standard Arabic spelling and grammar rules. They spell words the way they pronounce them in their local dialect. Many make agreement, definite article attachment, plural formation, and derivation errors. They code mix, i.e., transliterate English/French words and insert them in Arabic posts (cases الكيسز, schemes اسكيمز, share شير). They do not seem to know the Arabic equivalents of simple general and specialized English/French words (center سنتر, neuro نيورو, maps المابس). They even substitute simple Arabic words with English ones (shoes, fans, café, like, comment). It seems that educated Arabs are unable to think in L1 and L2 simultaneously. Their knowledge of English/French surpasses that of Arabic. They transfer the foreign pronunciation and structures to Arabic. Recommendations for reinforcing the native language and enhancing translanguaging skills are given.
Relación del trastorno por consumo de alcohol y la depresión
Authors:   Universidad de Cartagena, Pérez Mejía David Andrés , Pastrana Arias Ariel Enrique
Published: February 2025

La siguiente monografía tiene como objetivos realizar una revisión en la cual se pueda documentar la relación que existe entre el trastorno por consumo de alcohol y los trastornos depresivos, saber de que manera se relacionan y de que forma pueden afectar o empeorar ambas condiciones entre si.Los trastornos depresivos y el trastorno por consumo de alcohol son entidades que se presentan de manera frecuente en el ámbito psiquiátrico, las cuales existen hace mucho tiempo, se presentan con alta frecuencia y sin lugar a duda en un gran número de pacientes conviven con ambas patologías. La relación entre estos dos trastornos tiene un alto impacto en la salud mental y puede empeorar ambas condiciones existentes y traer consigo otros problemas de salud mental mucho más graves.
Analysis of Slope Stability Based on Four Machine Learning Models
Authors: Zhang Menghan , Wei Jin
Published: February 2025

To achieve rapid and precise prediction of slope stability, we propose an intelligent assessment method utilizing machine learning techniques. This approach aims to enhance the precision of slope stability evaluations, facilitating more effective and timely decision-making in geotechnical engineering. By analyzing 188 slope cases from domestic and international sources, we have identified six key feature variables to evaluate the Factor of Safety (FOS) for slope stability assessment. The dataset was established for evaluating slope stability, and to ensure robustness, it was divided into training and testing set using a 5-fold cross-validation approach. Four slope stability prediction models- GBM, SVM, XGB, and RF- were developed using machine learning algorithms. The accuracy of the models in predicting FOS for slopes was assessed using metrics such as MAE, MSE, RMSE, and R2. The best-performing machine learning model, along with the finite element model developed using GeoStudio, was applied to engineering examples to compare their feasibility and efficiency. The research findings demonstrates that the GBM model has a minimal error between the predicted and actual slope FOS, highlighting its high accuracy. The model shows a strong correlation between predicted and actual FOS, indicating its superior performance relative to other models. GBM model and the finite element model align well with the actual field conditions. However, the GBM model stands out due to its higher accuracy and faster computational efficiency. Therefore, the GBM model offers a high degree of fit between the predicted FOS and the actual values, making it well-suited for evaluating slope stability.
CONVOCATORIA
Authors: Marín Leyva René Augusto
Published: February 2025

CONVOCATORIA
Eficiencia de la dimensión educación del IDH en Michoacán, 1990-2020: un análisis de regresión espacial
Authors: Ayvar Campos Francisco Javier , Giménez García Víctor Manuel , Navarro Chávez José César Lenin
Published: February 2025

El estado de Michoacán enfrenta el reto de un bajo nivel de desarrollo humano y significativas desigualdades queaumentan las disparidades educativas entre sus municipios. Esta investigación tiene como objetivo evaluar laeciencia de los municipios en la generación de bienestar educativo durante el período 1990-2020 y determinarla influencia de los factores espaciales en este proceso. Para ello, basándose en los conceptos de desarrollohumano, eficiencia y dependencia espacial, se diseñó un modelo DEA con bad outputs, se calculó el ÍndiceMalmquist-Luenberger, y se estableció un modelo de regresión espacial. Los resultados revelan que solo seismunicipios fueron ecientes en el uso de recursos, que hubo un incremento en la productividad municipal yestatal, y que los factores espaciales incluyeron en la eficiencia para generar bienestar educativo. Con base enestos hallazgos, se recomienda aumentar la inversión educativa, distribuir equitativamente los recursos,fomentar la colaboración entre los municipios, implementar políticas que consideren factores espaciales ymonitorear los avances para asegurar mejoras sostenibles en el bienestar educativo de los municipios.
O câncer de pele na população branca e preta no Brasil: Prevalência e morbimortalidade
Authors: Valle Letícia Figueiredo do , Santos Livia Oliveira , Falcão Manuela Abrahão , Rosa Mariana Brandão , Figueiredo Huanderson Luis Moura , Rangel Maysa Alves Rodrigues Brandão , Kaminski Valéria de Lima
Published: February 2025

O câncer de pele constitui um importante problema de saúde pública no Brasil, com taxas de incidência em constante crescimento, conforme dados do Instituto Nacional do Câncer. A literatura científica demonstra que o fototipo cutâneo, ou seja, a cor da pele, é um fator de risco significativo, com indivíduos de pele clara apresentando maior susceptibilidade ao desenvolvimento da doença. No entanto, a mortalidade por câncer de pele é proporcionalmente maior em indivíduos negros, possivelmente devido ao diagnóstico tardio, agravado por fatores socioeconômicos, culturais e históricos. Além disso, a exposição aos raios ultravioleta (UVA e UVB) é o principal fator ambiental associado ao desenvolvimento do câncer de pele. A análise dos estudos disponíveis revela que a prevenção primária, por meio de medidas como a utilização adequada de protetor solar e a adoção de estratégias para minimizar a exposição direta ao sol, é fundamental para reduzir a incidência da doença. Diante disso, o objetivo desse estudo foi comparar os diferentes prognósticos do câncer de pele das populações branca e preta além de descrever os principais fatores que acarretam o aumento dos índices dessa doença no Brasil. Por fim, destacamos que a promoção do diagnóstico precoce, através de campanhas educativas e o acesso a exames dermatológicos periódicos, especialmente para populações vulneráveis, é essencial para melhorar o prognóstico e reduzir a mortalidade por câncer de pele.
Análise da eficácia das ações afirmativas para ingresso de docentes nas universidades públicas e o impacto sobre as políticas de financiamento de CT&I (2014-2021)
Authors: Oliveira Ilzver de Matos , Pereira Luiz Ismael
Published: February 2025

A escravidão no Brasil construiu grandes marcas de desigualdades socioeconômicas sobre a população negra brasileira (pretos e pardos). As ações afirmativas têm como objetivo superar esses déficits democráticos, como ocorre com o sistema de cotas no serviço público (ex.: lei federal nº 12.990/2014). No âmbito federal, os concursos públicos devem seguir o sistema de cotas raciais sempre que o número de vagas for igual ou superior a três por edital. No caso do magistério superior, ainda se percebe pequeno o uso das cotas para ingresso nas Universidades Federais, ainda menos nas estaduais, o que é perceptível pelos dados de estudos realizados recentemente a partir dos editais. Por isso, para analisar esse panorama, propusemos o projeto que intitula esse resumo, que foi aprovado na Chamada CNPq/MCTI/FNDCT Nº 18/2021 - Faixa A - Grupos Emergentes – Chamada Universal 2021 – e está sendo executado na Universidade Federal de Sergipe. O problema de pesquisa envolve compreender a efetividade do sistema de ações afirmativas raciais pós-2014 nas Universidades públicas de três regiões do país: Sul, a mais branca (74,1%); Nordeste, a mais preta (11,6%); e Norte, a mais parda (74,5%), segundo o IBGE. A hipótese aponta que há resistências administrativas na gestão de concursos públicos nas Universidades no compliance em relação às ações afirmativas de inclusão de pretos e pardos, bem como uma reduzida eficácia no âmbito estadual. Os dados preliminares indicam que desde 2014 houve um número reduzido de concursos com cotas raciais para o magistério superior e, quando há, o número de aprovados também é baixo, gerando reflexos a curto prazo no acesso a bolsas de produtividade e projetos de pesquisa em CT&I por meio das chamadas públicas, que em sua maioria é acessada por brancos. A metodologia incluirá a coleta e análise de dados legislativos federais e estaduais, regulação administrativa das Universidades, números de recursos humanos e casos judiciais, além da validação dos resultados por meio de um grupo focal com docentes pretos e pardos de Universidades públicas federais e estaduais das regiões estudadas como forma de articulação da pesquisa científica com a sociedade civil.