bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the Alignment of Brazilian Local Government Plans with the United Nations’ Sustainable Development Goals
Authors: Carvalho Sylvestre A. , Lazaro Lira L. B. , Young Andrea F. , Coelho Rooney R. A. , Ortega Fábio J. M. , Hecksher Carolina B. M. C. , Cardoso José R. , Ferreira João S. W. , Jacobi Pedro R. , Junior Arlindo P. , Buckeridge Marcos S.
Published: December 2024

Government plans are crucial for strengthening democratic regimes by defining clear policies and priorities, and by serving as essential channels of communication with voters and social groups within electoral systems. The political commitment to align these plans with the United Nations Sustainable Development Goals (SDGs) of the 2030 Agenda reflects an effort to integrate global priorities into local agendas. Such alignment is critical for fostering sustainable and inclusive progress. However, despite its importance, research on the intersection between government plans and the SDGs remains limited. In this study, we used natural language processing (NLP), artificial intelligence, and statistical analysis to examine the government plans of ten candidates in the 2022 gubernatorial election in the Brazilian state of São Paulo. Our analysis identified key policy topics, explored patterns and trends, and assessed alignment with the 17 SDGs across the social (SDGs 1, 2, 3, 4, 5, 10, and 16), environmental (SDGs 6, 13, 14, and 15), and economic (SDGs 7, 8, 9, 11, and 12) dimensions. The findings emphasize the need for government plans that are more closely aligned with sustainable development goals and that demonstrate a strong political commitment to addressing critical issues, particularly the impacts of climate change. This is especially urgent for the state of São Paulo, which faces significant challenges, including natural disasters, heat waves, flooding, water scarcity, and infrastructure deficiencies.
Educational Design in the Adoption of ICT for Sustainable Digital Learning in Social and Business Sciences: A Structural Equation Model
Authors: Carvajal-Morales Jessica Mariela , León-Plúas Edwin Evaristo , Valenzuela-Cobos Juan Diego , Guevara-Viejó Fabricio
Published: December 2024

Currently, teaching and learning are significantly influenced by Information and Communication Technologies (ICT), especially in a constantly evolving technological environment. The objective of this study was to develop a structural model to understand how university students use ICT for sustainable digital learning in the areas of social and business sciences. The study investigates the main factors influencing the acceptance of sustainable digital learning based on student satisfaction with the actual use of ICT. This research employs Structural Equation Modeling (SEM) with SEM-AMOS and utilizes a questionnaire based on the conceptual framework of the Technology Acceptance Model (TAM), its variants, and Social Cognitive Theory (SCT) as the primary method of data collection, from which 728 valid responses were obtained. Student responses were classified into several constructs and evaluated to determine their satisfaction with ICT for sustainable digital learning. The findings revealed a significant connection between computer self-efficacy, computer anxiety, and perceived enjoyment towards perceived usefulness and perceived ease of use, which in turn positively influenced student satisfaction with the use of ICT. This model proved effective in explaining student satisfaction and highlights the importance of deeply and strategically integrating ICT into educational design to promote digital learning as sustainability.
The Role of Ownership Structure in the Relationship Between Environmental, Social, and Governance Practices and Financial Reporting Quality: Evidence from China
Authors: Liu Haijing , Lee Hyunah
Published: December 2024

This study examines the relationship between environmental, social, and governance (ESG) practices, financial reporting quality, and ownership structure in Chinese listed companies, based on a panel dataset of 1841 firm-year observations from 2016 to 2020. Using three types of panel regression analyses, the study finds a positive relationship between ESG performance and financial reporting quality. Notably, this positive relationship between ESG performance and financial reporting quality is evident only for state-owned enterprises (SOEs), while no significant relationship is observed for private firms (non-SOEs). When ESG is disaggregated into its sub-dimensions, environmental performance shows a positive relationship with financial reporting quality in SOEs, while no significant relationship is found for social and governance performance. This study contributes to the literature by providing empirical evidence on the relationship between ESG practices and financial reporting quality, with a focus on the role of ownership structure in shaping this relationship in an emerging market with government-led sustainability initiatives. The findings reveal significant differences in the integration of ESG considerations into financial reporting based on ownership structure, highlighting the prominent role of SOEs in promoting sustainable business practices and enhancing financial transparency.
Quantifying Algebraic Connectivity: Sombor Index and Polynomial in Some Graphs of Commutative Ring Zp
Authors: Sivakumar Balsubramanian , Rajkumar Veerappan , Siddiqui Muhammad Kamran
Published: December 2024

This work explores the unit graph of the commutative ring Zp for prime p and explores the significance of the Sombor index and the Sombor polynomial in comprehending its structural details. We systematically investigate the unit graph and the identity graph of Zp, exposing subtle patterns and symmetries within its vertices and edges by utilizing the extensive linkages between algebraic structures and graph theory. Using an in-depth examination, we prove the importance of the Sombor index and the Sombor polynomial as indispensable instruments for describing the algebraic and combinatorial characteristics inherent in the graph. Our results clarify the basic characteristics of the unit graph and the identity graph of Zp and highlight its function in expressing the ring’s underlying algebraic structure. This work provides an avenue for further investigations into the interplay between algebraic structures and graph-theoretic concepts and also makes contributions to the subject of algebraic graph theory. We clear the path for further research and developments in this fascinating field of study by explaining the complexities regarding the unit and the identity graphs of Zp and emphasizing the significance of the Sombor index and the Sombor polynomial.
Why Extracellular Vesicles Are Attractive Vehicles for RNA-Based Therapies?
Authors: Aqel Farah , Schneider Kristin , Hartung Denise , Schwarz Kathrin , Shatnyeva Olga
Published: December 2024

Extracellular Vesicles (EVs) are a focus of intense research worldwide, with many groups exploring their potential for both diagnostic and therapeutic applications. Researchers have characterized EVs into various subtypes, modified common surface markers, and developed diverse isolation and purification techniques. Beyond their diagnostic potential, EVs are being engineered as delivery vehicles for various molecules and therapeutics. RNA therapeutics have the potential to be a transformative solution for patients suffering from chronic and genetic disorders and generally targeting undruggable targets. Despite the success of many RNA therapeutics in both in vivo studies and clinical trials, a significant challenge remains in effectively delivering these therapies to the target cells. Many research groups have adopted the use of lipid nanoparticles (LNPs) and other nanocarriers to encapsulate RNA therapeutics, aiming to deliver them as stably as possible to ensure optimal bioavailability and efficacy. While LNPs have proven successful as delivery vehicles, their use is not without drawbacks, such as accumulation within the body. EVs could be a potential solution to many of the problems around LNPs and other nanocarriers.
Rapid Screening of Etomidate and Its Analogs in Seized e-Liquids Using Thermal Desorption Electrospray Ionization Coupled with Triple Quadrupole Mass Spectrometry
Authors: Li Meng , Lin Bicheng , Zhu Binling
Published: December 2024

The growing popularity of e-cigarettes has raised significant concerns about the safety and potential abuse of these products. Compounds originally used in the medical field, such as etomidate, metomidate, and isopropoxate, have been illegally added to e-liquids, posing substantial risks to consumer health, and facilitating the misuse of illicit drugs. To address these concerns, this study developed a rapid and efficient method for detecting etomidate, metomidate, and isopropoxate in e-liquids using thermal desorption electrospray ionization coupling triple quadrupole mass spectrometry (TD-ESI/MS/MS). The TD-ESI/MS/MS method exhibits high sensitivity, with detection limits for etomidate, metomidate, and isopropoxate reaching 3 ng/mL. Screening of 70 seized e-liquid samples from 12 cases using TD-ESI/MS/MS revealed that 46 samples contained only etomidate, 13 samples contained only isopropoxate, and 11 samples contained both etomidate and metomidate. The qualitative results obtained from TD-ESI/MS/MS were in complete agreement with those of GC-MS. Moreover, the TD-ESI/MS/MS method requires no pre-treatment steps and has a detection time of only 1 min, thereby saving experimental consumables and significantly reducing detection time. The method demonstrated high sensitivity, accuracy, and reproducibility, making it suitable for high-throughput screening in forensic and regulatory settings.
Real-Time Observation of Clickable Cyanotoxin Synthesis in Bloom-Forming Cyanobacteria Microcystis aeruginosa and Planktothrix agardhii
Authors: Kurmayer Rainer , Morón Asensio Rubén
Published: December 2024

Recently, the use of click chemistry for localization of chemically modified cyanopeptides has been introduced, i.e., taking advantage of promiscuous adenylation (A) domains in non-ribosomal peptide synthesis (NRPS), allowing for the incorporation of clickable non-natural amino acids (non-AAs) into their peptide products. In this study, time-lapse experiments have been performed using pulsed feeding of three different non-AAs in order to observe the synthesis or decline of azide- or alkyne-modified microcystins (MCs) or anabaenopeptins (APs). The cyanobacteria Microcystis aeruginosa and Planktothrix agardhii were grown under maximum growth rate conditions (r = 0.35–0.6 and 0.2–0.4 (day−1), respectively) in the presence of non-AAs for 12–168 h. The decline of the azide- or alkyne-modified MC or AP was observed via pulse-feeding. In general, the increase in clickable MC/AP in peptide content reached a plateau after 24–48 h and was related to growth rate, i.e., faster-growing cells also produced more clickable MC/AP. Overall, the proportion of clickable MC/AP in the intracellular fraction correlated with the proportion observed in the dissolved fraction. Conversely, the overall linear decrease in clickable MC/AP points to a rather constant decline via dilution by growth instead of a regulated or induced release in the course of the synthesis process.
A Combined Landslide Displacement Prediction Model Based on Variational Mode Decomposition and Deep Learning Algorithms
Authors: Sun Mengcheng , Guo Yuxue , Huang Ke , Yan Long
Published: December 2024

Accurate landslide displacement prediction is an essential prerequisite for early warning systems aimed at mitigating geological hazards. However, the inherent nonlinearity and dynamic complexity of landslide evolution often hinder forecasting performance. Previous studies have frequently combined signal decomposition techniques with individual machine learning methods to enhance prediction reliability. To address the limitations and uncertainties associated with individual models, this study presents a hybrid framework for displacement forecasting that combines variational mode decomposition (VMD) with multiple deep learning (DL) methods, including long short-term memory neural network (LSTM), gated recurrent unit neural network (GRU), and convolutional neural network (CNN), using a cloud model-based weighted strategy. Specifically, VMD decomposes cumulative displacement data into trend, periodic, and random components, thereby reducing the non-stationarity of raw data. Separate DL networks are trained to predict each component, and the forecasts are subsequently integrated through the cloud model-based combination strategy with optimally assigned weights. The proposed approach underwent thorough validation utilizing field monitoring data from the Baishuihe landslide in the Three Gorges Reservoir (TGR) region of China. Experimental results demonstrate the framework’s capacity to effectively leverage the strengths of individual forecasting methods, achieving RMSE, MAPE, and R values of 12.63 mm, 0.46%, and 0.987 at site ZG118, and 20.50 mm, 0.52%, and 0.990 at site XD01, respectively. This combined approach substantially enhances prediction accuracy for landslides exhibiting step-like behavior.
Variations in Phytoplankton Blooms in the Yangtze River Estuary and Its Adjacent Waters Induced by Climate and Human Activities
Authors: Luo Yan , Zhou Ling , Wu Rui , Dong Jingjie , Chen Xinchun , Zhu Zhenjie , Xu Jiafeng
Published: December 2024

The long-term characteristics of phytoplankton blooms and the relative importance of driving factors in the Yangtze River Estuary (YRE) and its adjacent waters remains unclear. This study explored the temporal and spatial patterns of blooms and their driving factors in the YRE and its adjacent waters using MODIS bloom data from 2003 to 2020. Bloom intensity varied along both longitudinal and latitudinal gradients, with very few blooms occurring near the shore and in the open sea. Temporally, blooms exhibited seasonal variations, peaking during the summer and being weakest during the winter. Sea surface temperature was the primary driving factor behind the seasonal variations in algal blooms. The implementation of controlling the pace of urban land development, returning farmland to forest, and initiating marine pollution prevention programs have contributed to a downward trend in the bloom intensity. Additionally, the operation of the Three Gorges Dam altered the Yangtze River’s diluted water during the summer months, thereby reducing the bloom intensity. Conversely, the Taiwan Warm Current promoted an increase in the bloom intensity. Elucidation of the spatiotemporal patterns and the driving factors of blooms in the YRE and its adjacent waters provide crucial support for the prediction and management of algal blooms.
Evaluating Consumer Preferences for Sustainable Products: A Comparative Study Across Five Countries
Authors: Šostar Marko , Ristanović Vladimir
Published: December 2024

In times of global natural changes, environmental pollution, and the harmful impacts of certain products, it is essential to observe consumer behavior regarding preferences for products with sustainable characteristics. This paper evaluates the process of making decisions about the purchase of sustainable products using the Analytical Hierarchy Process (AHP), as the most common method of multi-criteria decision-making. The aim of the research is to define the influences that change consumer behavior regarding the purchase of sustainable products. The study was conducted on a sample of 880 respondents in Croatia, Spain, Moldova, Turkey, and Ukraine. The results showed that the quality and composition of products, their origin in bioproduction, and their status as local or healthy products are decisive for the purchase of sustainable products. It was also found that consumers in different countries vary; those in Croatia and Spain have similar criteria and priorities, while those in Moldova, Turkey, and Ukraine differ in certain aspects of their preferences.
سمات نظم المعلومات وفاعليتها في شركات قطاعي الأعمال والخاص المصرية
Authors: سليم أحمد , عاشور أحمد صقر , خليل عمر النادي , ميلر ستيڨن
Published: December 2024

استهدفت هذه الدراسة تقديم إجابة عن السؤالين الآتيين: (1) هل تختلف سمات نظم المعلومات بين شركات قطاعي الأعمال والخاص المصرية؟ (2) هل يؤثر نوع الملكية (عام وخاص) على العلاقة بين المتغيرات التنظيمية، ودعم الإدارة العليا لنظم المعلومات، و المشاركة في تصميم وبناء نظم المعلومات، والنضج التنظيمي لوحدات نظم المعلومات وبين فاعلية نظم المعلومات المستخدمة في الشركات المصرية؟ وللإجابة عن هذين السؤالين تم جمع بيانات عن متغيرات الدراسة باستخدام عينة من من 42 شركة (23 من شركات الأعمال، 19 من الشركات الخاصة) وبمشاركة 214 مديراً (115 من شركات الأعمال، 99 من الشركات الخاصة). هذا وقد أظهرت نتائج الدراسة وجود اختلاف في نظم المعلومات بين القطاعين؛ من حيث طرق إدخال البيانات للنظم المستخدمة، ومركزية ولا مركزية إمكانات تشغيل البيانات والمعلومات، وعدد سنوات استخدام المعلومات، وحجم الوحدات الإدارية لنظم المعلومات. كما أظهرت نتائج الدراسة أيضاً وجود تأثير لنوع الملكية على العلاقات الإيجابية والقوية بين المتغيرات التنظيمية الثلاثة وفاعلية نظم المعلومات المستخدمة. وهذه النتائج يمكن الاسترشاد بها في تحقيق إدارة فاعلة لتقنيات نظم المعلومات النادرة في شركات قطاعي الأعمال والخاص المصرية.
الإنفاق الحكومي في نموذج متحرك للنمو التبعي مع تطبيق على دولة الكويت
Authors: الغالي خليفة بن الحبيب , المطيري نايف حمد
Published: December 2024

تقدم هذه الدراسة تطويراً لنموذج بارو (1990) الخاص بالنمو التبعي من نموذج ساكن إلى نموذج متحرك لتصحيح الخطأ، وذلك من أجل اختبار العلاقة السببية بين الإنفاق الحكومي والنمو الاقتصادي، ومن ثم التمييز بين الفروض النظرية البديلة في هذا المجال. والسؤال الذي تحاول الدراسة أن تجيب عنه هو ما إذا كان التغيير في الإنفاق الحكومي يؤدي إلى التغير في النمو الاقتصادي أو العكس. وقد توصلت الدراسة باستخدام بيانات عن الاقتصاد الكويتي إلى وجود تأثير مباشر وغير مباشر للإنفاق الحكومي على النمو الاقتصادي، وهي النتيجة التي لم تتمكن الأدبيات في هذا المجال من إثباتها، بسبب استخدامها لنماذج ذات معادلة واحدة. وعلى وجه التحديد توصلت الدراسة إلى إثبات وجود تأثير غير مباشر للإنفاق الحكومي على النمو الاقتصادي، وذلك من خلال تأثيره على الاستثمار في القطاع الخاص.
Predicting Drug Addiction in Students using Artificial Intelligence: A Machine Learning Approach
Authors: Jose Jwala , Suresh Kumar B.
Published: December 2024

This paper presents a novel approach leveraging artificial intelligence (AI) and machine learning (ML) techniques to predict drug addiction among students. The proposed methodology involves the collection of comprehensive data encompassing various factors such as demographics, socio-economic status, academic performance, family history of addiction, peer influence, mental health status, and substance use history. Following data preprocessing and feature selection, different ML algorithms including logistic regression, decision trees, random forests, support vector machines (SVM), and neural networks are trained and evaluated to identify the most effective model for prediction. The developed model is deployed into a user-friendly interface, enabling early intervention and prevention efforts to mitigate the risks associated with substance abuse among students. Ethical considerations regarding data privacy, fairness, and transparency are also addressed throughout the study. Experimental results demonstrate the efficacy of the proposed approach in predicting drug addiction in students, thereby contributing to proactive interventions for promoting student well-being and health.
FAMILY SUPPORT AND DISCHARGE PLANNING INFLUENCE DIABETIC ULCER PATIENTS’ QUALITY OF LIFE
Authors: Fadhlia Husna , Yunisman Roni  , Aminatul Fitri
Published: December 2024

Introduction: Diabetic ulcers can affect the quality of life of sufferers. Support from family and health workers in the form of discharge planning is needed to help improve the quality of life of diabetic ulcer patients. Onjective: This study aims to determine the relationship between family support and discharge planning on the quality of life of diabetic ulcer patients. Method: This study used a correlational method with a cross-sectional approach. The research sample was 50 respondents based on inclusion and exclusion criteria using accidental sampling. The instruments used were the WHOQOL-Bref questionnaire, family support questionnaire, and discharge planning questionnaire. The analysis used was bivariate analysis with Kendall's tau-b correlation test. Results: Of the 50 respondents, there were 37 respondents (74%) with moderate quality of life, 28 respondents (56%) with high family support, and 40 respondents (80%) with good discharge planning. The results of statistical tests show that there is a significant relationship between family support and the quality of life of ulcer patients with a p value of 0.000 <α (0.05), and there is a significant relationship between discharge planning and the quality of life of ulcer patients with a p value of 0.006 <α (0.05). Conclusion: There is a relationship between family support and the quality of life of diabetic ulcer patients and there is a relationship between discharge planning and the quality of life of diabetic ulcer patients. Family support is more significant in influencing the quality of life of diabetic ulcer patients.
О межуниверситетской квантовой сети
Authors: В.Е. Велихов , М.В. Ковальчук , С.П. Кулик , Ю.Б. Миронов , А.П. Овсянников , А.В. Одиноков , Б.М. Шабанов
Published: December 2024

Рассматриваются вопросы создания межуниверситетской квантовой сети (МУКС), которая должна предоставить вузам и научным организациям новые возможности для обучения студентов и проведения исследований в области квантовых технологий. Представлен анализ текущих проектов по созданию сетей с квантовым распределением ключей (КРК), которые проводят страны, развивающие квантовые технологии. Подробно рассмотрены достижения России в области разработки оборудования КРК и строительства магистральной квантовой сети. Описана архитектура МУКС как совокупности доменов – групп сегментов квантового распределения ключей, базирующихся на общем протоколе КРК и работающих под единым управлением. Описаны особенности реализации первой очереди МУКС в 2024 г.

The paper discusses the issues of creating an inter-university quantum network (IUCN), which should provide universities and scientific organizations with new opportunities for teaching students and research in the field of quantum communications and quantum technologies. The article presents an analysis of current projects to create networks with quantum key distribution (QKD), which are being carried out by countries developing quantum technologies. Russia’s achievements in the field of the development of QKD equipment and construction of a backbone quantum network are examined in detail. The article describes IUQN as a set of domains, where a domain is a group of QKD segments based on a common QKD protocol and operating under a single control. The article also describes the first stage of the IUQN implementation in 2024.
Основные подходы к организации мониторинга занятости радиочастотного спектра в гетерогенной сети интернета вещей на основе когнитивного радио
Authors: К.А. Снопок
Published: December 2024

Рассмотрены принципы построения и архитектурные особенности известных сетей LPWAN. Выполнен анализ существующих сетевых топологий подсистемы мониторинга занятости радиочастотного спектра (РЧС). Определены основные подходы к организации мониторинга занятости РЧС в гетерогенной сети интернета вещей на основе когнитивного радио (CR-LPWAN). Рассмотрен сценарий работы сети CR-LPWAN в детерминированной полосе частот сотовой связи. Разработан принцип действия и алгоритм динамического доступа к белым пятнам сети CR-LPWAN, обеспечивающие гарантированные надежность и качество связи.

The design principles and the architectural features of known LPWAN networks are considered. The analysis of existing network topologies of spectrum sensing subsystem is performed. The main approaches to organizing spectrum sensing in the heterogeneous Internet of Things network based on the cognitive radio (CR-LPWAN) are defined. The scenario of CR-LPWAN network operation in a deterministic cellular frequency band is considered. The operational principles and the algorithm of dynamic access to white spaces of CR-LPWAN network are developed, ensuring guaranteed reliability and quality of communication.
Элементарный подход к расчёту систем массового обслуживания
Authors: А.В. Богданов
Published: December 2024

В статье излагается подход к расчёту систем массового обслуживания, основанный на использовании метода, изложенного в статье А.Я. Хинчина «О формулах Эрланга в теории массового обслуживания». Этот подход развит для расчёта потоков сообщений с эрланговскими распределениями времени второго и более высокого порядка и которые отличаются наличием последействия (пуассоновский поток описывается эрланговским распределением первого порядка), а также с рэлеевскими распределениями. В расчётах используются стационарные ординарные потоки входящих сообщений. Для одно- и двухканальной систем массового обслуживания с потерями получены численные результаты и проведена оценка погрешности расчёта с помощью имитационного моделирования. Показано, что с учётом погрешностей генератора случайных чисел, изложенная методика для систем с потерями является точной. Для системы массового обслуживания с ожиданием и потерями с одним каналом обслуживания и одним местом ожидания изложена приближённая методика расчёта, которая, тем не менее, позволяет получить погрешность в приемлемых пределах (не выше 10%). Результаты могут использоваться для обучения студентов с целью более наглядного расчёта систем массового обслуживания, а также, после дополнительного упрощения методики, для предварительной оценки качества различных вариантов систем массового обслуживания.

The paper presents an approach to the computation of queueing system systems based on the method described in A.Y. Khinchin’s article “On Erlang formulas in queueing theory”. This approach is developed for the calculation of message flows with Erlang time distributions of the second and higher order, which are characterized by the presence of aftereffects (a Poisson flow is described by an Erlang first-order distribution), as well as with Rayleigh distributions. Stationary ordinal incoming message flows are used in the calculations. Numerical results are obtained for one- and two-channel queueing systems with losses, and the estimation of the calculation error using simulation modelling is carried out. It is shown that taking into account the errors of the random number generator, the stated methodology for systems with losses is accurate. For a queueing system with waiting and losses with one service channel and one waiting place, an approximate calculation methodology is outlined, which, nevertheless, allows to obtain an error within acceptable limits (not higher than 10%). The results can be used for teaching students in order to more clearly calculate queueing systems and, after additional simplification of the methodology, for preliminary assessment of the quality of various variants of queueing systems.
Обнаружение слабо отражающих воздушных целей с помощью длинноволнового радиолокатора с синтезированной апертурой, установленного на БПЛА
Authors: А.В. Борисенков , О.В. Горячкин , В.А. Ружников
Published: December 2024

В статье исследуются возможности обнаружения слабо отражающих воздушных целей радиолокатором с синтезированием апертуры, использующим режим интерферометрии вдоль пути. Известные способы реализации радиолокационного наблюдения слабо отражающих воздушных целей используют крупногабаритные антенные конструкции и большие мощности радиопередающих систем и при этом имеют ограниченную дальность действия. Решение задачи обеспечивается выводом математической модели серий радиолокационных изображений в канале селекции движущихся целей, оценкой отношения сигнал/шум и расчетом вероятности правильного обнаружения движущейся цели при фиксированном значении вероятности ложной тревоги. Показано, что воздушные цели типа дронов могут быть обнаружены длинноволновой радиолокационной станцией в режиме селекции движущихся целей на расстояниях, имеющих практическое значение, а точность прогноза их местоположения на текущий момент времени может составлять единицы метров.

The paper investigates the possibility of detecting low-reflective, aerial targets by a synthetic aperture radar using path-interferometry mode. Known methods for implementing radar surveillance of low-reflecting aerial targets use large-sized antenna structures and high-power radio transmission systems and at the same time have a limited range. The solution of the problem is provided by deriving a mathematical model of a series of radar images in the moving target selection channel, assessing the signal-to-noise ratio and calculating the probability of correct detection of a moving target with a fixed value of the false alarm probability. It is shown that aerial targets such as drones can be detected by a long-wave radar station in the moving target selection mode at distances of practical importance, and the accuracy of predicting their location at the current moment in time can be several meters.
Kinerja Struktur Perkerasan Aspal Porus Modifikasi dengan Pemodelan Program KENPAVE
Authors: Aszharri Arief , Susetyo Dimas Ariezky , Sulaiman Suherman
Published: December 2024

Flexible pavement planning methods can be classified into five categories, namely empirical methods, methods for limiting shear failure, methods for limiting deflection, regression methods based on pavement performance or road tests and empirical mechanistic methods. Pavement design procedures can be modeled as several layers or viscoelastic structures in an elastic band. By estimating that the pavement structure is like this, it is possible to calculate the stresses, strains, or deflections caused by traffic loads and environmental factors. This research will evaluate the construction structure of a porous asphalt mixture using cariphalte modified asphalt and the addition of gilsonite on a road section with a high traffic volume with an LHR above 50,000 pavement vehicles so that the thickness of the pavement structure layer will be obtained and then evaluated using the KENPAVE program. The results of this study show that the structural performance of porous asphalt mixtures with the addition of gilsonite in the pavement structure increases not significantly with increasing permit repetition loads at fatigue crack damage criteria of 0.5% and 0.45% for segment 4 and segment 5 respectively. Segment 3 showed a significant increase in the permit repetition load of 26.3% compared to the normal mixture. The structural performance of porous asphalt mixtures with the addition of gilsonite in the pavement structure increases insignificantly with the increase in the repetition permit load on the criteria for used grooves from vehicle wheels by 0.42% and 0.74% respectively for segment 4 and segment 5. However, in segment 3, there was a significant increase in the permit repetition load of 30.5% compared to the normal mixture.
Exploring the Impact of Social Media Usage and Sports Participation on High School Students’ Mental Health and Academic Confidence
Authors: Shan Yilin Elaine , Tong Xin
Published: December 2024

This study investigates the effects of sports participation and social media use on high school students' mental health and self-perception, with a focus on understanding their unique contributions to happiness and academic confidence. Structural equation modeling was applied to analyze the relationships between sports participation, time spent on social media, and self-reported levels of happiness and confidence, while accounting for potential gender differences. The results indicate that sports participation is positively associated with happiness, but does not significantly affect academic confidence. In contrast, the use of social media is negatively associated with academic confidence, although it does not significantly impact happiness. Gender differences were observed, with female students reporting a lower level of happiness but a higher level of academic confidence. These findings suggest that while extracurricular activities, such as sports varsity involvement, can support students' well-being, the excessive use of social media apps may undermine their academic confidence.
Geomorphometric analysis of agricultural areas based on the FABDEM digital elevation model
Authors: Erunova Marina , Yakubailik Oleg
Published: December 2024

The application of geoinformation technologies and digital elevation models (DEMs) makes it possible to significantly automate the process of analyzing the terrain in the area under study. Modern DEMs are based on remote sensing data, and their accuracy is constantly improving. Based on new non-profit FABDEM DEM data and the SAGA GIS functionality, a geomorphometric analysis of the topography in the agricultural area of the experimental production farm (EPF) “Mikhailovskoye” was carried out at the Krasnoyarsk Science Center of the Russian Academy of Sciences. For the farm area, a series of large-scale thematic maps was constructed, including slope steepness and aspect, plan and profile curvatures, Terrain Ruggedness Index (TRI), Slope Length and Steepness Factor (LS-factor), Topographic Wetness Index (TWI), etc. A model of surface runoff was also built. The morphometric analysis of the area of EPF “Mikhailovskoye” shows that, despite its small size, the surface structure is heterogeneous. The analysis shows that 85 % of the farm area is flat land, while the remaining 15 % is located on more elevated local landforms. The steepness of most slopes is up to 3°, accounting for 92 % of the total area, with only 8 % of the land being steeper than 3°. The fields of the farm are dominated by western and eastern slopes, which account for 42 % of the total area, while 36 % of the area is represented by southern slopes, with 2 % represented by northern ones. The results of the analysis of the Topographic Wetness Index (TWI) for the entire farm indicate a low erosion risk: only 0.5 % of the farm land has drainage depressions, with 3 % located on hills. According to the Slope Length and Steepness Factor (LS-factor), the hilly areas are located on the slopes with the steepness higher than 4°.
Analysis of the dynamics of settlement territorial structure of municipal districts of the Republic of Tatarstan using geoinformation technologies
Authors: Panasyuk Mikhail , Pudovik Elena
Published: December 2024

The article discusses the results of the analysis of territorial structure dynamics of settlement systems of municipal districts of the Republic of Tatarstan in the period 1959–2016, conducted using modern geoinformation technologies. The example of the studied region shows the advantages of using and developing GIS tools to improve cartographic analysis of settlement systems dynamics and notes the shortcomings of traditional methods for solving such problems. The characteristics of the results of study of the settlement system of the Republic of Tatarstan, including its mapping, obtained in the 1990–2010s, are given. The data presented in the work related to six years of observation, including the results of the censuses of 1959, 1970, 1979 and 2002, as well as data for 1997 and 2016. When choosing the observation periods, the need for information on all settlements in the region and their localization was considered. Each settlement corresponded with the boundaries of modern municipal districts. Geoinformation support for solving analytical problems included six spatial databases containing information on the characteristics of the population of 3 663 settlements that are part of 43 municipal districts of the Republic of Tatarstan, and a developed cartographic basis with precise coordinate referencing of settlements. The analysis of the territorial structure was carried out on the basis of the population size of settlements, the number and total population in their population groups, as well as share structures by population groups for municipal districts and the region. To assess the dynamics, the indicators of the growth/decline rates of the population of settlements and municipal districts were calculated. The analysis of trends in the change in territorial structure of settlement systems was carried out on the basis of cluster analysis methods, which made it possible to identify three groups of municipal districts that differ in the dynamics of changes in population size and structural characteristics of population groups. Each is distinguished by a fairly compact localization within a number of territories of the region. These include: municipal districts of the north-west of Tatarstan; districts of its eastern part and south-west; regions of the western and eastern parts of Tatarstan.
CONTAMINACIÓN DEL AIRE CASOS DE INVESTIGACIÓN EN EL VALLE DEL CAUCA
Authors:   Universidad Santiago de Cali, González Vargas Iván Andrés , Fernández Daza Fabián Felipe ,   Universidad Antonio José Camacho, Cuervo Mulet Raúl Alberto ,   Universidad de San Buenaventura Cali, Balanta Galvis Michel Fernanda ,   Universidad Santiago de Cali, Delgado Ospina Johannes ,   Universidad de San Buenaventura Cali, López Villalobos Iván Darío ,   Universidad Antonio José Camacho, Guanga Esterilla Leidy Maritza ,   Universidad Antonio José Camacho, Granada Luis Felipe ,   Universidad Libre de Cali
Published: December 2024

El aire como recurso natural es tan importante como el suelo y el agua; sin embargo, las estrategias de manejo, calidad y conservación no son suficientes para disponer de este valioso recurso, a pesar de considerar a la contaminación atmosférica como el principal factor de riesgo ambiental, por encima de la mala calidad del agua y la exposición a metales tóxicos o peligrosos, según el informe de carga de enfermedad ambiental en Colombia del Instituto Nacional de Salud.
Análisis de distribución del ruido ambiental y efectos en comunidad trabajadora expuesta en una zona de la comuna 3 de Cali, 2018
Authors:   Universidad Antonio José Camacho, López Villalobos Iván Darío , Fernández Daza Fabián Felipe ,   Universidad Antonio José Camacho, Granada Luis Felipe ,   Universidad Libre de Cali
Published: December 2024

La contaminación por aumento de niveles de intensidad sonora, es uno de los problemas más comunes en el mundo, asociado a las acti-vidades urbanísticas como la invasión del espacio público de zonas comerciales.
"Las Mujeres Del Naya Superación A Una Radiografía Del Miedo Después De La Masacre"
Authors:   Fundación Universitaria Popayán, Córdoba Claros Natalia , Zambrano Mosquera Cindy Paola ,   Fundación Universitaria Popayán
Published: December 2024

Las historias de vida que aquí se describen tienen lugar en el Cabildo Indígena Kite Kiwe, un contexto altamente polémico y diverso, donde una serie de factores históricos de violencia se enlazan con otros de tipo político y cultural que configuran un panorama complejo dotado de memoria y la construcción de nuevos proyectos de vida.
Toma de muestra para gases arteriales y venosos.
Authors:   Universidad Santiago de Cali, Triana Reyes María del Pilar
Published: December 2024

La gasometría arteriovenosa es una técnica de monitorización invasiva que permite en una muestra de sangre arterial y venosa determinar el estado ácido-base (pH), la oxigenación con la presión parcial de oxígeno (PaO2), la presión parcial de dióxido de carbono (PaCO2), el bicarbonato sérico (HCO3), la capacidad de transporte del oxígeno y además cuantificar la respuesta a la intervención terapéutica
CA19.9 & CEAAS PROGNOSTIC TUMOR MARKERS IN CARCINOMA GALLBLADDER - AN OBSERVATIONAL STUDY
Authors: Anshu Ashwani , Yadav Gulab Dhar , Kumar Jauhari Ramendra , Shukla Priyesh
Published: December 2024

Introduction: Gallbladder cancer (GBC) has been documented since the 17th century, with increasing incidence over time. Despite
advancements, GBC remains highly fatal due to its asymptomatic progression and limited understanding of its origins. Gallbladder cancer is the
25th most common cancer globally, with significant gender and regional variations. In India, the incidence is notably higher in the north compared
to the south. Risk factors identified by the Indian Council of Medical Research (ICMR) include age, gender, ethnicity, gallstones, chronic
inflammation, genetics, and lifestyle. Improved imaging and tumor markers like CEA and CA19-9 are crucial for better diagnosis and prognosis.
Objective: To investigate the epidemiology and clinical presentation of gallbladder carcinoma, to assess the levels of tumor markers CA19.9 and
CEAin relation to different stages of gallbladder carcinoma and to examine the relationship between tumor markers CA19.9 and CEAin predicting
the prognosis of patients with gallbladder carcinoma who have undergone resection. Methods: This prospective study was conducted at GSVM
Medical College, Kanpur, from January 1, 2023, to June 30, 2024, on patients suspected or diagnosed with gallbladder carcinoma or mass lesions.
Patients aged between 18 to 70 years, patients suspected or diagnosed with gallbladder carcinoma or mass lesions, and patients who provided
informed consent. Results: Predominantly in patients under 60 years (43.3%), with a higher prevalence in females (73.3%). The most common
symptoms were a lump abdomen (80%) and pain abdomen (55%). The body of the gallbladder was the most common site (65%), with dilated CBD
in 30% of cases. Adenocarcinoma was the most common subtype (90%). Raised CA19-9 and CEAlevels were effective in diagnosing gallbladder
carcinoma with sensitivities of 63.6% and 54.5%, respectively. CA19-9 was superior in predicting tumour burden and recurrence. Significant
reductions in CA19-9 levels were observed one-week post-surgery, while CEA levels significantly decreased one-month post-surgery.
Conclusion: Raised CA19-9 and CEAlevels are useful for initial screening and prognostication of gallbladder carcinoma. CA19-9 is particularly
effective in predicting tumor burden and recurrence. Tumor resection significantly reduces these markers, indicating a positive response to surgery.
These markers, combined with cytohistology, can enhance diagnostic accuracy and patient outcomes.
configuración de un nuevo patrimonio. La pared como lienzo en los murales rurales de los artistas extremeños Sojo y Brea
Authors: García-Manso Angélica
Published: December 2024

Se analiza la estética del “Street Art” como patrimonio asociado a un entorno predominantemente rural en la región española de Extremadura. Para ello se eligen varios aspectos: dos artistas locales, responsables de buena parte de los murales contemporáneos en el entorno; el uso de telas como leit-motiv en una pared a la manera de lienzo y, finalmente, la evolución estética de sendos creadores. Se descubre cómo, aun como arte efímero, se asocia la tela a la práctica antropológica de las mujeres rurales y se reivindica como postura política frente a la denominada “España vaciada”.
OCLUSÃO ARTERIAL AGUDA DE MEMBROS INFERIORES: MANIFESTAÇÕES CLÍNICAS, CONDUTAS E SÍNDROME DE REPERFUSÃO
Authors: Saut Melissa Garcia Silva , Brito Eddy Ferreira , Bertin Maria Fernanda Siqueira , Gotardo Eduardo , Chioveti Gabriela Ricalde , Brito Feliph Cássio Sobrinho , Silva Andressa Aguiar da , Carmo Heitor Bruno Fialho do , Fernandes Maria Luisa de Azevedo , Pinto Ivo da Silva , Silva Douglas Soares da , Mendonça Maria Júlia Brayner Cavalcanti de , Falcão Victória de Luna , Curvo Bianca Neves e , Freitas Lucas Nunes de , Moraes Thalia Almeida de , Bressan Túlio Slongo , Castro Iran Barros de , Checon João Pedro De Almeida , Júnior Luiz Jefferson Barbosa
Published: December 2024

A oclusão arterial aguda (OAA) de membros inferiores é uma emergência vascular caracterizada pela interrupção súbita do fluxo sanguíneo arterial, resultando em isquemia tecidual severa. Essa condição pode ser causada por embolia, trombose ou trauma vascular e requer diagnóstico e intervenção imediatos para evitar complicações graves, como necrose tecidual, amputação ou morte. Clinicamente, manifesta-se pelos "6 P’s" (dor, ausência de pulso, palidez, parestesia, paralisia e alteração da temperatura). O manejo inclui desde terapias anticoagulantes e trombolíticas até intervenções endovasculares ou cirúrgicas. A identificação precoce e o tratamento adequado são cruciais para preservar a viabilidade do membro e melhorar o prognóstico. Esta revisão de literatura foi conduzida com base em publicações científicas obtidas nos seguintes bancos de dados: Biblioteca Virtual em Saúde (BVS), PubMed (Public Medline), Portal de Periódicos CAPES e Scientific Electronic Library Online (SciELO), sem delimitação de período. Além disso, foram consultados os sites oficiais do Ministério da Saúde e materiais da literatura cinzenta. A oclusão arterial aguda de membros inferiores é uma emergência médica que exige diagnóstico e tratamento rápidos para evitar desfechos graves, como amputações e mortalidade. A abordagem deve ser baseada na gravidade da isquemia e nas condições do paciente, variando de terapias conservadoras a intervenções cirúrgicas. Complicações, como a síndrome de reperfusão, reforçam a importância do monitoramento contínuo e da reabilitação pós-tratamento. O controle dos fatores de risco e o acompanhamento multidisciplinar são essenciais para prevenir recorrências. Investir na produção científica e na capacitação dos profissionais de saúde é crucial para aprimorar o manejo dessa condição potencialmente devastadora.
ANÁLISE DAS EXPOSIÇÕES OCUPACIONAIS ASSOCIADAS AO CÂNCER NO BRASIL (2019-2023): TENDÊNCIAS E DESAFIOS NA COLETA DE DADOS
Authors: Both Lucas Mateus , Peixer Isabela Munhoz , Dariva Esther Marcon , Leobet Juliane dos Santos , Guarda Carisi Vitória Trentin , Lepper Pedro Mendonça , Yong Karla Alle Marie , Mariana Georgin  , Deluqui Nathália , Marchese Amanda
Published: December 2024

Diversas substâncias, como o benzeno e hidrocarbonetos, além de radiação, possuem efeito carcinogênico conhecido e abordado por diversos estudos já existentes. Esse estudo abordou, portanto, a frequência de exposições específicas e pesquisou a existência de relação direta entre elas e o número de diagnósticos de câncer relacionado ao trabalho; para isso foi utilizada a análise descritiva e o teste de correlação parcial. Como resultados foram obtidos valores variáveis durante os anos de 2019-2023, tendo queda de casos absolutos durante o período pandêmico da Covid-19; além de ter sido encontrada associação não estatisticamente significativa (P>0,05) entre nunca ter fumado e o câncer relacionado ao trabalho; as exposições mais frequentes foram a radiação não ionizante e os hidrocarbonetos, entretanto, nenhuma exposição se mostrou significativamente diretamente associada aos casos da doença. Concluiu-se assim que são necessárias políticas públicas de proteção aos trabalhadores e maior cobrança pelos órgãos de saúde a respeite da devida coleta de dados de exposição dos casos diagnosticados, devido a grande quantidade de respostas para esse campo como “ignorado/branco”.