bluuebunny/crossref_metadata_2025 huggingface dataset:
BLOBDTBM : Blockchain-based structure for decentralized tourism business model
Authors: Kumar B. C. Girish , Nand Parma , Bali Vikram
Published: February 2025

Given the nation’s current economic prosperity, the tourism sector is flourishing. Tourism is the term used to describe travel to a place that is different from your native country or hometown for a multitude of reasons. Identity theft, middlemen, unsuccessful payments, fraudulent reviews, transparency, settlement, overbooking, regulation, and—above all—safety concerns brought on by the COVID-19 pandemic, omicron, SARS-COV-2, JN.1, and the industry’s traditional architecture are some of the issues the tourism sector has been facing. This research study presents BLOBDBM (Blockchain Based Decentralized
Business model in Tourism sector), a blockchain framework for eliminating third-party middlemen in the tourism sector as a more affordable and user-friendly alternative to hotel listing, booking, and secure payment. In the travel and tourism industry, the proposed work provides a decentralized way to book and pay for hotels. The experimental outcomes of the
Proposed Model outperform those of the most sophisticated Blockchain designs.
Overcoming the implementation and technical challenges in visible light communication for practical deployment
Authors: Bhutani Monica , Gaur Jatin , Jha Bhawanand , Kumar Jitender , Gulzar Yonis
Published: February 2025

VLC is a short-range wireless data transmission technology with high transfer rates and security. However, it faces challenges such as restricted signal transmission due to its line-of-sight principle. Strategies include higher optical methods and using VLC and radio frequency to improve coverage. Fluctuations in light conditions affect performance, and integrating VLC with other infrastructure is difficult. The study recommends using flexible LED technology for easy integration. Security is another issue, with line-of-sight security and strict encryption and authentication. Regulatory and standardization issues also hinder VLC implementation. Researchers, engineers, and policymakers should develop techniques to overcome technical, integration, and regulatory obstacles in VLC system extension.
MC2R : Multi criteria based cluster routing for software defined VANET
Authors: Kumar Manish , Raw Ram Shringar
Published: February 2025

VANET (Vehicular Ad-hoc Network) facilitates real-time and efficient communication among vehicles via vehicle-to-vehicle and vehicle-to-infrastructure interactions. The continuously evolving topology of VANET raises significant concerns about scalability and dependability. Many manufacturers produce vehicles, making it crucial to consider the heterogeneity in VANET routing. Using Software Defined Networking (SDN) and Vehicular Ad Hoc Networks (SD-VANET) together makes it easier to handle heterogeneity and scalability. However, the Roadside Unit’s (RSU) workload is still a big issue. This study
proposes a cluster-based routing method for SD-VANET, termed MC2R (Multi Criteria based Cluster Routing for Software Defined VANET). The Multiple Criteria Decision Making (MCDM) method has been used to identify the cluster head that minimizes the expenses associated with cluster head selection. The Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are used for decision-making purposes. The efficacy of the suggested work has been assessed in comparison to leading routing algorithms. The suggested routing protocols demonstrated commendable performance in throughput, end-to-end latency, and cluster head longevity. The finding indicates a significant reduction in the burden of RSU.
A comprehensive review of recent advances and future prospects of generative AI
Authors: Gupta Jyoti , Bhutani Monica , Kumar Pramod , Kumar Mahesh , Malhotra Nisha , Malik Payal , Kaul Kajal
Published: February 2025

Generative AI has evolved rapidly and demonstrated accuracy in creating content with diverse yet too realistic styles. This paper provides a complete overview of the field, starting with its core principles and continuing with some recent results and potential future applications. This also covers requirements for new task-specific and data models, including our critical generative model generation (GANs, VAE, and more) in four image audio text videos. The paper emphasizes that generative AI has the potential to transform industries and lists some of these possible applications. It also reviews GAN technology limitations, including data bias, ethical questions, and model interpretability. To maximize the potential of this technology, we stress that it is crucial to construct reliable, interpretable, and self-sustainable generative models. The paper ends with a discussion of future directions, new trends in multimodal models, and scopes of energy-efficient approaches. Knowing the risks and potential ahead is how researchers and practitioners can make an informed choice to use generative AI for better or worse.
Benchmarking VADER and TextBlob for sentiment analysis : An evaluation across diverse textual domains in retail product reviews
Authors: Kumar Vijay , Sehrawat Nitu , Yadav Anu , Narula Rachna , Kapoor Dishant , Kumar Anil , Tyagi Devansh , Sharma Ruchi
Published: February 2025

Sentiment analysis holds the potential to become an essential tool for businesses to understand how consumers feel about their products and services on digital platforms. For this study, we focused on two well-known sentiment analysis tools: VADER and TextBlob. Our results highlight the strengths and weaknesses of both tools and offer insights for researchers and practitioners looking to apply sentiment analysis in retail-related applications. We concluded that text analysis tools can be invaluable.
AWS-rekognition-driven attendance system : Enhancing accuracy and security through cloud-based facial authentication
Authors: Bodapati Jyostna Devi , Adithya Koduru Jagrutha , Narukulla Krishnaiah , Kuchoor Santhosh Kumar , Bysani Suresh , Veeranjaneyulu N.
Published: February 2025

Facial recognition technology is widely used in attendance management systems. This study develops an automated attendance system using AWS Recognition, streamlining attendance tracking by eliminating manual record-keeping and reducing errors. The system comprises two key components: user registration and attendance marking. Users register their facial data through AWS Recognition, requiring administrative approval for verification. Attendance is marked by facial authentication, with options for deregistration if needed. Role-based access control allows employees to view their records while administrator monitor all attendance data. By integrating AWS Recognition, the system enhances accuracy, security, and efficiency, demonstrating the potential of cloud-based computer vision in real-world applications.
Participatory Rural Appraisal for Rural Development: A Case Study of Kaljawade Village in Kolhapur District
Authors: Dr. Umesh Balu Gadekar
Published: February 2025

Participatory Rural Appraisal (PRA) has gained prominence as a powerful tool for empowering rural communities by involving them in the planning and implementation of development activities. This paper explores the application of PRA in the rural development process, focusing on Kaljawade Village in the Kolhapur district of Maharashtra, India. The research examines how PRA methods were employed to identify local issues, engage the community, and design sustainable development solutions. The case study highlights the benefits and challenges of using PRA as a tool for rural development, offering insights into the effectiveness of participatory approaches in enhancing the socio-economic conditions of rural areas
Identifying the causal relationship between gut microbiota and lymphoma disease: a Mendelian randomization study and meta-analysis
Authors: Huang Ruizhe , Liu Boyi , Zhang Wenchao , Tian Jie , Yu Kaiwei , Chen Danna
Published: February 2025

Introduction

Increasing evidence from observational studies and clinical trials suggests that gut microbiota (GM) are associated with lymphoma. However, it is unclear whether there is a causal relationship between GM and lymphoma.

Material and methods

To evaluate the causal relationship between GM and lymphoma, we conducted a two-sample Mendelian randomization analysis based on the genome-wide association study (GWAS). GWAS summary statistics of the GM were obtained from the MiBioGen study that including 211 taxa. GWAS summary statistics of four lymphomas were obtained from the IEU Open GWAS study. Then, we systematically performed sensitivity analyses and heterogeneity analysis to verify the reliability of our findings. Finally, we used an external cohort for validation and performed a meta-analysis of the positive results.

Results

We identified 37 causal relationships between GM and lymphoma. The results of the sensitivity analyses demonstrated the reliability of the MR analysis. Furthermore, the combined meta-analysis yielded nine significant results, with the most notable being Terrisporobacter (MetaOR = 2.39, 95% CI = 1.07–5.32, p = 0.03), which was identified as a pathogenic factor for diffuse large B-cell lymphoma (DLBCL). Methanobrevibacter (MetaOR = 0.49, 95% CI = 0.27–0.92, p = 0.03) was identified as a protective factor against DLBCL. Cyanobacteria (MetaOR = 1.94, 95% CI = 1.24–3.03, p = 0.004) were identified as a pathogenic factor for FL.

Conclusions

Our study identified a causal relationship between gut microbes and four lymphoma diseases. To further confirm the causal relationship, external validation was performed, thereby providing new insights into the subsequent mechanisms by which gut microbes mediate lymphoma development.
WORDWALL: INTERFACES DA PLATAFORMA FRENTE À ALFABETIZAÇÃO
Authors: Weissheimer Daiane Aline Langer
Published: February 2025

O presente relato tem como objetivo analisar o uso da plataforma digital Wordwall e suas interfaces no processo de alfabetização, discutindo suas funcionalidades e as práticas do professor frente a utilização da gamificação com alunos inseridos neste ciclo. A gamificação, por sua vez, se constitui de mecanismos tecnológicos a fim de incentivar de maneira lúdica, o aprendizado de modo significativo. A problematização dá-se da seguinte maneira: como a plataforma Wordwall pode contribuir no processo de alfabetização? A plataforma, em linhas gerais, proporciona ao usuário a aplicabilidade de jogos de memória, associações, quizes, jogos de palavras e outros, personalizando o conteúdo estudado em sala de aula, em uma proposta enriquecedora. Para a construção do resumo, utiliza-se o método de revisão bibliográfica com foco nos autores MURR e FERRARI (2020); MAGDA SOARES (2016) e outros.
Determinants of Post Harvest Losses of Rice (Oryza Sativa) among Rice Processors in Benue State, Nigeria
Authors: Dzahan Hilary Liambee
Published: February 2025

Determinants of post harvest losses of rice among rice processors was conducted in Benue state, Nigeria. The objectives were to describe the socio-economic characteristics and determine factors influencing post-harvest losses of rice processors; the study employed the use of purposive, multi stage and simple random sampling procedures to select 150 rice processors using Taro Yamane’s proportionate sampling. Simple descriptive statistics and multiple linear regressions was use for data analyses. The result revealed that, mean age was 41 years, 47.33% were married, 44.67% processed between 7 – 10 100kg bags of rice per week. The result showed that 74.67% attended formal education, 36.67% had experience of between 10-15 years, Result of multiple regression analysis revealed that, R2 was 57%, losses due to inadequate drying facilities, inadequate transportation facilities, scale of operation were statistically significant at 1% and positive implying increase in these variables leads to increase in the dependent variable by the magnitude of their coefficient 23%, 26% and 0.3% . Milling technology and education were statistically significant at 1% but negative implying decrease in these variables will increase the value of the dependent variable by the magnitude of their coefficients -0.74% and -0.33%. The study concludes that, improving drying facilities and transportation efficiency. providing training on post harvest management and improving processing technology can significantly reduce post harvest losses by rice processors. The study recommends that; Government and NGOs should invest in modern drying facilities; provide training on post harvest management for rice processors and improve transportation network and efficiency.
Voices of Undergraduate Students Taking Introductory Statistics Courses
Authors:   Digital Promise,   Achieving the Dream
Published: February 2025

This report presents findings from a 2023-24 study by Achieving the Dream (ATD), examining the experiences of 50 undergraduate students in introductory statistics courses using Lumen One courseware. The study highlights the effectiveness of courseware features providing formative practice with feedback. It also explores how instructor involvement and course modality influence student engagement and sense of belonging, particularly among students of color. About half of the students indicated that their instructors assisted them in connecting the courseware’s content to their understanding through frequent communication, responsiveness, and a strong presence. While students appreciated the courseware’s real-world examples and low-stakes assessments, few reported using an embedded peer community feature, and some desired more detailed feedback. Recommendations emphasize the importance of improving feedback mechanisms and increasing instructor engagement to better support student success.
Modification of a Unani pharmacopoeial formulation Zimad-e-Jarbin to Lotion form and evaluation of Physicopharmaceutical parameters
Authors:   Department of Saidla, Faculty of Unani Medicine, Aligarh Muslim University, Aligarh -202002, India, Rahman Aziz	ur , Rasool Sadaf ,   Department of Saidla, Faculty of Unani Medicine, Aligarh Muslim University, Aligarh -202002, India, Ahmad Qazi	Zaid ,   Department of Saidla, Faculty of Unani Medicine, Aligarh Muslim University, Aligarh -202002, India, Nafees Huda ,   Department of Saidla, Faculty of Unani Medicine, Aligarh Muslim University, Aligarh -202002, India
Published: February 2025

Zimad-e-Jarb, a traditional Unani pharmacopoeial formulation used topically to treat scabies (Jarb), was redesigned into a lotion form to improve patient compliance and address issues like odor, application difficulty, and staining. The lotion was prepared using the ingredients of Zimad-e-Jarb (sulfur, copper sulfate, Indian kamala, and litharge) and standard lotion excipients. The physico-pharmaceutical properties of the lotion were evaluated, including organoleptic characteristics, homogeneity, pH, viscosity, spreadability, washability, and irritancy. The lotion exhibited desirable characteristics: it was a smooth, olive-green, aromatic liquid with no foreign particles or clogs, a pH within the range of normal skin (5.23±0.03 for 1% solution and 5.14±0.01 for 10% solution), a viscosity of 368.4±1.8 cps, and a spreadability of 7.94±0.20 g.cm/s. The lotion was easily washable and showed no signs of irritancy or sensitization in human patch tests. These results suggest that the lotion form of Zimad-e-Jarb is a promising alternative to the traditional paste, offering improved convenience, compatibility, and patient compliance while maintaining acceptable physico-pharmaceutical properties. This study establishes standard quality control parameters for the lotion formulation and supports its potential use in treating scabies.
Remote Sensing and GIS-Based Evaluation of Morphometric Parameters of Madhupur Tract Basin
Authors: Muhammad Qumrul Hassan  , M. Aziz Hasan  , Jowaher Raza
Published: February 2025

Abstract: Evaluating the complexity of the water system is essential to balance its utilization, maintenance, and management. A quantitative description of the drainage system, an essential aspect of the characteristics of a basin, can be assessed by the morphometric characteristics at a defined scale. Morphometric analysis quantitatively studies landforms' physical dimensions and characteristics within a drainage basin. The Madhupur Tract, a large upland area in central Bangladesh, is surrounded by the Jamuna-Brahmaputra River floodplain. Geologically, the Madhupur Tract predominantly consists of older Pleistocene deposits, with a mix of clay, silt, and sand. The drainage pattern in the Madhupur Tract is primarily dendritic, resembling a tree-like structure. Madhupur Tract Drainage Basin is a basin with 9,025 streams of different order, covering an area of almost 3,677 km2. It is very elongated in shape with rapid discharge in a short period. Lower-order streams are high in number, probably due to the elevated nature of the area. A gradual decrease in the number of streams can be seen inversely decreasing with increasing stream order. The consistent decrease in the number of streams in relation to stream order throughout the basin indicates the dominance of erosional landforms. The changes in stream length ratio throughout the basin show that the area is in the early stages of irregular hydrological behavior. The overall drainage density of the Madhupur Tract Basin is high in lower reaches, indicating less porous rock in the bed surface, high slope, and high-water flow regimes. The low form factor value indicated the elongated nature of basins with low peak flow for longer. Flood flows of elongated basins can be more easily managed than circular basins. The relief ratio of Madhupur Tract Basin was measured to be around 0.156, apparently very low, indicating minimal elevation differences with a relatively flat or gently undulating terrain. The ruggedness number of the Madhupur Tract Basin is 33.54. A low ruggedness indicates a relatively smooth and uniform landscape with gradual elevation changes. Both surface water and groundwater interactions influence the Madhupur Tract's drainage system. The lateritic formations in the region contribute to the formation of aquifers, affecting the groundwater flow and the overall drainage dynamics.
The Twins City of Wellington - Palu and Lessons Learned After the Six Years Sulawesi Earthquake for Build Back Better
Authors: Ketut Sulendra  , Gidion Turu’allo  , Atur Siregar
Published: February 2025

Abstract: Wellington And Palu Cities Are Passed By A Normal Type Fault, The Population Is Around 400 Thousand People, Including A Medium City And Water Front City Predicate On The Bay Area So It Is Vulnerable To Tsunami Disasters Due To Tectonic Earthquakes. Wellington Has Been Categorized As A Resilience City But Palu Has Not. Based On This, Palu Needs To Learn A Lot About Disaster Management From Wellington, Including Building Infrastructure That Is Resistant To Earthquake Disasters. This Article Compares The Geological Conditions, Disaster Risks Including Hazard, Vulnerable And Capacity Of The Two Cities. Observing The Many Similarities Between The Two Cities, There Are Certainly Many Lessons That Can Be Used In Managing Earthquake Disasters And Their Secondary Impacts So That Disaster Risk Reduction Efforts Can Be Achieved Optimally. The Condition Of The City Of Palu 6 Years After The Earthquake Disaster Of 28 September 2018, The Recovery Process Is Quite Significant. The Reconstruction Of Infrastructure Is Similarity To Conditions In Wellington After The 2011-2012 Sequel Christchurch Earthquakes. The Rehabilitation And Reconstruction Of Hospital Buildings, Schools, Bridges And Viaducts, Airports And Other Infrastructure Have Been Partially Completed. An Important Note That Is An Obstacle To The Recovery Process Is The Availability Of Fast And Accurate Data On Building Damage, Relocation Locations, Covid-19 And The Relatively Long Duration Reconstruction Progress.
Development of transdisciplinary competency assessment tools in teacher training institutions
Authors: Nga Thi Hang Nguyen  , Loc Phuoc Hoang  , Bao Quang Dinh  , Thuy Thi Bich Vo
Published: February 2025

Developing transdisciplinary competencies for students in teacher training institutions is essential to equip them with the knowledge and foundation for their future educational activities. However, accurately assessing students' transdisciplinary competencies in large classroom settings has never been an easy task. Providing evidence to demonstrate the transdisciplinary competencies of pre-service teachers presents several challenges, while assessments based solely on the instructor's perspective may raise concerns about objectivity and reliability. This paper proposes a framework for assessing students' transdisciplinary competencies, including evaluation criteria and methods for organizing the assessment process. The study was conducted using an experimental approach, focusing on the Natural Science Foundations course for second-year pre-service teachers (N=1000) across two academic cohorts. The research results indicate that the proposed assessment tool can effectively and accurately evaluate pre-service teachers' transdisciplinary competencies.
Keywords: Assessment; Trans Disciplinarity, Transdisciplinary Competencies; Peer Review.
DESAFIOS E CONTRIBUIÇÕES DA TECNOLOGIA NA EDUCAÇÃO: IMPACTOS NO ENSINO E APRENDIZAGEM
Authors: Brandalise Bruna , Midding Ceres , Santos Maria Priscila Miranda dos
Published: February 2025

A presente pesquisa tem como finalidade, explorar a relevância das novas tecnologias na educação e suas implicações na transformação nos métodos de ensino. O ensino busca analisar, de maneira abrangente, como a integração dessas ferramentas tecnológicas pode influenciar e reconfigurar os paradigmas pedagógicos tradicionais. Além disso, será abordado o papel do educador nesse processo de transição, evidenciando como sua função pode evoluir à medida que ele se adapta ao ambiente digital.Ainda examinar os novos métodos de aprendizagem que emergem do avanço tecnológico e da digitalização global, ressaltando como essas inovações estão reformulando a estrutura educacional. Serão discutidas as oportunidades e desafios que surgem com a implementação dessas tecnologias, bem como as competências necessárias para que os docentes possam navegar eficazmente nesse novo cenário educacional. Em suma, o trabalho visa fornecer uma compreensão aprofundada das interações entre tecnologia e educação, destacando a importância de uma abordagem crítica e reflexiva sobre o futuro do ensino e da aprendizagem.
INTERDISCIPLINARIDADE NO ENSINO MÉDIO PROFISSIONALIZANTE: UM RELATO DE EXPERIÊNCIA NO CEDUP RENATO RAMOS DA SILVA
Authors: Oliveira Grace Kelly Schemes , Rocha Sandra Cezária Ronchi , Santana Flávio Carreiro de
Published: February 2025

O objetivo do presente artigo é fornecer um relatório sobre a experiência centrado na importância da interdisciplinaridade nas escolas de ensino médio profissional. Especula-se sobre o Centro de Educação Profissional Renato Ramos da Silva. A pesquisa é baseada em documentos do Projeto Político-pedagógico da escola. No entanto, para alcançar resultados mais confiáveis, vários artigos dos últimos cinco anos são usados para abordar a interdisciplinaridade, multidisciplinaridade e disciplinaridade. O processo procura descobrir até que ponto várias disciplinas podem ser usadas juntas para maximizar o potencial de aprendizado e desenvolvimento do professor do CEDUP e formar um aluno cujos certificados pudessem se adequar às necessidades do mercado de trabalho atual quanto à sua carreira e algumas mais. O artigo tem objetivo descritivo. Ele trabalha para explorar o uso da interdisciplinaridade como meio das práticas de desenvolvimento da carreira de professores da CEDUP. Ao concluirmos os estudos pudemos perceber que a interdisciplinaridade é um processo que auxilia muito no ensino e aprendizagem e ainda contribuem na formação acadêmicas dos alunos no desenvolvimento de habilidades e competências tão exigidas em nosso contexto atual.
O MANEJO DA INFERTILIDADE EM PACIENTES COM SINDROME DO OVÁRIO POLICÍSTICO
Authors: Nunes Natália Alves de Paula , Antunes Isadora de Almeida Gonçalves , Andrade Nicolly da Fonseca , Campos Luiza Penido , Beraldo Laura Cristina Marinho , Coutinho Lohayne Marins Teixeira Rossi
Published: February 2025

A Infertilidade pode ser causada por diversos fatores, sendo a anovulação uma das principais causas, com a Síndrome do Ovário Policístico (SOP) constituindo a endocrinopatia mais frequente em mulheres em idade reprodutiva e a principal responsável pela infertilidade anovulatória. O objetivo desse artigo foi reunir e analisar as opções terapêuticas disponíveis utilizadas no tratamento da infertilidade associada à SOP. Foi realizada uma revisão da literatura através das bases de dados médicas PubMed e BVS, utilizando os termos de indexação “polycystic ovary syndrome”, “infertility” e “treatment”, com operador boleano “AND”. Um total de 24 artigos científicos foram incluídos após a aplicação de critérios de inclusão e exclusão. Por meio dos estudos analisados, foi observado que o citrato de clomifeno segue como a opção mais utilizada, apesar de limitações. Alternativas como inibidores da aromatase, sensibilizadores de insulina e combinações terapêuticas mostraram maior eficácia em alguns casos. Além dos fármacos, intervenções no estilo de vida, suplementação e terapias complementares ofereceram abordagens promissoras. Técnicas de reprodução assistida também foram consideradas como uma opção, porém apresentam riscos que devem ser avaliados. Portanto, o tratamento da infertilidade na SOP deve ser individualizado, considerando não apenas a eficácia dos protocolos medicamentosos, mas também os aspectos metabólicos, psicológicos e a qualidade de vida das pacientes.
OS DESAFIOS E IMPACTOS DA INSERÇÃO DE TECNOLOGIAS DIGITAIS NA EDUCAÇÃO: UMA ANÁLISE SOB A PERSPECTIVA DOCENTE
Authors: Stockmann Eduarda , Santos Maria Pricila Miranda dos
Published: February 2025

Este artigo analisa os desafios e as oportunidades do uso de tecnologias digitais no ambiente escolar, com base nas entrevistas realizadas com duas professoras de diferentes contextos. A pesquisa explora como as tecnologias estão sendo integradas no ensino, as dificuldades enfrentadas pelos docentes e as percepções sobre os impactos dessas ferramentas na aprendizagem dos alunos. Através das entrevistas, foram identificados obstáculos como a infraestrutura inadequada, a resistência ao uso das tecnologias e as desigualdades socioeconômicas dos alunos, que impactam diretamente o acesso às ferramentas digitais. No entanto, também foram evidenciadas as potencialidades das tecnologias, como o aumento do engajamento dos alunos e a melhoria da qualidade do ensino, quando usadas de forma integrada e mediada pelo professor. O estudo sugere que é necessário um esforço conjunto para superar esses desafios, com investimentos em formação contínua para os educadores e políticas públicas voltadas para a inclusão digital nas escolas. A pesquisa contribui para o entendimento do papel da tecnologia na educação e a importância de sua implementação adequada para promover uma aprendizagem mais equitativa e acessível a todos.
PULMONARY HYPERTENSION AS AN INTERDISCIPLINARY PROBLEM. CASE FROM PRACTICE
Authors:   Belarusian State Medical University, I. Karnialiuk , S. Aliakseychik ,   Belarusian State Medical University, N. Varava ,   10th City Clinical Hospital, M. Karnialiuk ,   Republican Scientific and Practical Center "Cardiology"
Published: February 2025

Pulmonary hypertension can develop in patients with bronchopulmonary pathology, as well as due to left ventricular heart failure. The difficulty of differential diagnosis between chronic respiratory and heart failure is due to the close pathophysiological connection between the respiratory and cardiovascular systems, as well as the similarity of clinical manifestations. The leading symptoms are progressive shortness of breath, fatigue on exercise, tachypnea, tachycardia, and peripheral edema syndrome. Differential diagnosis is based on a comparative analysis of the severity of organ damage and the degree of their functional impairment.
MANDIBULAR HYPOPLASIA IN CHILDREN: POSSIBILITIES OF COMPRESSION-DISTRACTION OSTEOGENESIS
Authors:   Belarusian State Medical University, D. A. Hrychaniuk
Published: February 2025

Hypoplasia – is the medical term for underdevelopment. Hypoplasia of the mandible (micrognathia) is associated with underdevelopment of the ramus or body of the mandible, in some cases both at the same time. The main causes of hypoplasia of the lower jaw in children are congenital and acquired. This pathological condition can be detected at the second stage of screening of pregnant women at 19–21 weeks of pregnancy. This pathology leads to both functional (breathing, chewing, swallowing, speech) and aesthetic disorders. Currently, various methods are known for eliminating underdevelopment of the lower jaw, such as the use of allo- and out-grafts or combined, the use of implants made of metals or polymer materials, compression-distraction osteosynthesis. Currently, in our country, as throughout the world, compression-distraction osteosynthesis (CDO) is actively used to eliminate hypoplasia of the lower jaw. Hypoplasia of the mandibular branch combines not only a shortened height, but also a change in the width of the branch. The use of modern technical achievements (MSCT, OPTG, TRG, ultrasound, CDA, surgical guidance) allows not only to study in detail the deformation of the mandible, but also to supplement the necessary information for precise planning of surgical treatment and obtaining a predictable result. The main principles of surgical treatment of patients with an underdeveloped branch of the mandible are: 1) preoperative planning (production of a stereolithographic model of the skull, for spatial visualization of skeletal asymmetry, and a surgical template necessary for osteotomy and CDA fixation), 2) ultrasound and X-ray control at the distraction stage to determine the correctness of the vector of growth and dynamics of the formation of the jaw callus.
LEGAL REGULATION OF THE USE OF DRUGS IN MODERN TACTICAL MEDICINE TAKEN INTO ACCOUNT OF THE FEATURES OF MODERN SPECIAL MILITARY OPERATIONS
Authors: T. V. Zhukova , M. A. Yurochkin , A. V. Beleckij , I. A. Sugak , A. V. Borisov , L. M. Shevchuk , I. V. Fomin , V. P. Shelkovin , V. A. Tumanskij , K. A. Samochernyh , N. E. Ivanova , Yu. M. Zabrodskaya
Published: February 2025

Currently, due to the problems identified during a special military operation, the section of tactical medicine is given special attention. One of the problems we raised is directly related to pain relief. Purpose of the study: to identify the main problems of self-help and mutual assistance related to pain relief and the use of narcotic substances, as well as issues that arise with the close convergence of Russian and Belarusian legislation related to the use of the above-mentioned narcotic painkillers for the purpose of providing first aid, taking into account the characteristics of the damaging factor, as well as wound localization to optimize approaches to training personnel in tactical medicine units. Materials and methods: analysis of data from patients in the intensive care unit of the Military Medical Academy of St. Petersburg, analysis of the causes of death of SVO participants from open data and the media, as well as analysis of sources publishing the distribution of causes of death of military personnel – participants in modern military operations. Results and discussion. Basic first aid skills include a list and content of knowledge, the possession of which is a mandatory minimum for survival. The list of injuries received while participating in hostilities has undergone a number of changes due to changes in the conduct of hostilities and the types of weapons used. However, resolving issues that allow one to survive while providing self-help and mutual assistance remains in the same plane. First of all, these are issues related to pain relief and the use of narcotic drugs. In our opinion, given the convergence of Russian and Belarusian legislation, a number of amendments should be made to the articles relating to the production and use of drugs for medical purposes in both one and the other legislation. Conclusions. The basic scope of first aid, includin g measure s relate d t o self-hel p an d mutua l assistance associated with pain relief with the help of narcotic substances, should be individualized depending on the mechanism and location of the injury, which is subject to correction in the legislative framework of both states.
THE EFFECT OF COMPULSIVE OVEREATING DISORDER ON SEPSIS (REVIEW)
Authors:   Belarusian State Medical University, S. N. Shubina , I. A. Hrushch ,   Belarusian State Medical University, A. F. Krot ,   Belarusian State Medical University, S. L. Tarasyuk ,   Republican Scientific and Practical Center for Mental Health
Published: February 2025

Sepsis is one of the most important causes of death in developed countries, where almost 2/3 of the population is obese. Thus, the coexistence of both conditions is becoming a common occurrence in clinical practice, and an increasing number of scientific studies are aimed at studying the potential impact of obesity on sepsis, but their results remain controversial [1]. Compulsive overeating (CED), according to numerous studies, is one of the causes of obesity in 40 to 70 % of cases, being a trigger factor for this disease. In this regard, there is an increasing need to study obesity in the context of compulsive overeating in critical conditions [2]. The aim of the work: to analyze the data of literary sources touching upon the issues of the influence of obesity (and along with it compulsive overeating) on sepsis; to emphasize the advantages of a multidisciplinary approach in accompanying people with critical conditions with an assessment of eating disorders, in particular, a history of compulsive overeating.
Probabilistic seasonal outlook for the rainy season over India by monitoring the onset dates using GPM IMERG satellite-based precipitation
Authors: Jayasankar Chempampadam Balasubramannian , Misra Vasubandhu
Published: February 2025

Abstract. We utilized the Integrated Multi-Satellite Retrievals for Global Precipitation Mission version 6 (IMERG) rainfall observation (available in real time) over India to determine the onset and demise of the rainy season. The annual mean climatology derived from IMERG observations over India aligned closely with the rain gauge-based India Meteorological Department observation. The IMERG rainfall time series was randomly perturbed to generate 101 ensemble members at every grid point of the rainfall analysis to obtain a corresponding ensemble of the onset and demise dates of the rainy season. The perturbations were designed to sample the uncertainty due to random synoptic or mesoscale rain events influencing the diagnosis of the onset/demise dates at the granularity of the IMERG observations (at 10 km grid). Following earlier studies, we find from the IMERG dataset that seasons with an earlier onset date are strongly related to a lengthier and wetter season, whereas seasons with a later onset date correspond to a shorter and drier season. In contrast, the connections between the onset, demise, seasonal length, and rainfall with ENSO and IOD were comparatively weaker over most of India. The generation of ensembles in this study underscores the potential for real-time application of generating reliable, probabilistic seasonal outlooks of the rainy season over India by leveraging the local links amongst onset date, seasonal length, and seasonal rainfall anomalies. This potential is further confirmed by the high probabilistic skill scores of the seasonal outlooks using the area under the relative operating characteristic curve method.
Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting
Authors: García-León Manuel , García-Valdecasas José María , Aouf Lotfi , Dalphinet Alice , Asensio Juan , Ciliberti Stefania Angela , Gómez Breogán , Aquino Víctor , Aznar Roland , Sotillo Marcos
Published: February 2025

Abstract. Accurate short-term wave forecasts are crucial for numerous maritime activities. Wind and surface currents, the primary forcings for spectral wave models, directly influence forecast accuracy. While remote sensing technologies like Satellite Synthetic Aperture Radar (SAR) and High Frequency Radar (HFR) provide high-resolution spatio-temporal data, their integration into operational ocean forecasting remains challenging. This contribution proposes a methodology for improving these operational forcings by correcting them with Artificial Neural Networks (ANNs). These ANNs leverage remote sensing data as targets, learning complex spatial patterns from the existing forcing fields used as predictors. The methodology has been tested at three pilot sites of the Iberian-Biscay-Ireland region: (i) Galicia, (ii) Tarragona and (iii) Gran Canaria. Using SAR as reference, the ANN corrected winds present Root Mean Square Deviation (RMSD) reductions close to 35 % respect to ECMWF-IFS, and improvements close to 3 % for the scatter-index. Surface currents are also improved with ANNs, reaching speed and directional biases close to 2 cm/s and 6º and correlation close to 35 % and 50 %, respectively. Using these ANN forcings in a regional spectral wave model (Copernicus Marine IBI-WAV NRT) lead to improvements in the Wave Height (Hm0) bias and RMSD around 10 % and 5 % at the NE Atlantic. Mean wave period (Tm02) also improves, with reductions of 17 % and 5 % in bias and RMSD. Furthermore, during extreme events (e.g. storm Arwen at Galicia, November 2021), the Hm0 was corrected close to 0.5m and Tm02 by around 0.4 s.
Uncertainty in the projected Antarctic contribution to sea level due to internal climate variability
Authors: Caillet Justine , Jourdain Nicolas C. , Mathiot Pierre , Gillet-Chaulet Fabien , Urruty Benoit , Burgard Clara , Amory Charles , Chekki Mondher , Kittel Christoph
Published: February 2025

Abstract. Identifying and quantifying irreducible and reducible uncertainties in the Antarctic Ice Sheet (AIS) response to future climate change is essential for guiding mitigation and adaptation policy decision. However, the impact of the irreducible internal climate variability, resulting from processes intrinsic to the climate system, remains poorly understood and quantified. Here, we characterise both the atmospheric and oceanic internal climate variability in a selection of three Coupled Model Intercomparison Project Phase 6 (CMIP6) models (UKESM1-0-LL, IPSL-CM6A-LR, and MPI-ESM1.2-HR) and estimate their impact on the Antarctic contribution to sea-level change over the 21st century under the SSP2-4.5 scenario. To achieve this, we use a standalone ice-sheet model driven by the ocean through parameterised basal melting and by the atmosphere through emulated surface mass balance estimates. The atmospheric component of internal climate variability in Antarctica has a similar amplitude in the three CMIP6 models. In contrast, the amplitude of the oceanic component strongly depends on the climate model and its representation of convective mixing in the ocean. A low bias in sea-ice production and an overly stratified ocean lead to a lack of deep convective mixing which results in weak ocean variability near the entrance of ice-shelf cavities. Internal climate variability affects the Antarctic contribution to sea-level change until 2100 by 45 % to 93 % depending on the CMIP6 model. This may be a low estimate, as the internal climate variability in the CMIP models is likely underestimated. The effect of atmospheric internal climate variability on the surface mass balance overwhelms the effect of oceanic internal climate variability on the dynamical ice-sheet mass loss by a factor of 2 to 5, except in the Dronning Maud area and the Amundsen, Getz, and Aurora basins, where both contributions may be similar depending on the CMIP model. Based on these results, we recommend that ice-sheet model projections consider (i) several climate models and several members of a single climate model to account for the impact of internal climate variability and (ii) a longer temporal period when correcting historical climate forcing to match present-day observations.
Data collected by a drone backpack for air quality and atmospheric state measurements during Pallas Cloud Experiment 2022 (PaCE2022)
Authors: Brus David , Le Viet , Kuula Joel , Doulgeris Konstantinos
Published: February 2025

Abstract. A lightweight custom built drone backpack for air quality and atmospheric state variables measurements on top of consumer-grade drone was used during Pallas Cloud Experiment (PaCE) campaign’s intensive operation period (IOP) between September 12th and October 10th, 2022. The drone backpack measurements include 63 vertical profile flights from two close by locations at Pallasjarvi lake and 12 flights against the reference at Sammaltunturi station. The observations include aerosol number concentrations and size distributions, and meteorological parameters up to 500 m above the ground level. The dataset has been uploaded to the common Zenodo PaCE 2022 community archive (https://zenodo.org/communities/pace2022/, last access: 5 February, 2025). The datasets in two formats NetCDF and CSV are available here: https://doi.org/10.5281/zenodo.14780929, Brus et al. (2025a) and https://doi.org/10.5281/zenodo.14778422, Brus et al. (2025b), respectively.
Enhancing human–robot collaboration with thermal images and deep neural networks: the unique thermal industrial dataset WLRI-HRC and evaluation of convolutional neural networks
Authors: Süme Sinan , Ponomarjova Katrin-Misel , Wendt Thomas M. , Rupitsch Stefan J.
Published: February 2025

Abstract. This contribution introduces the use of convolutional neural networks to detect humans and collaborative robots (cobots) in human–robot collaboration (HRC) workspaces based on their thermal radiation fingerprint. The unique data acquisition includes an infrared camera, two cobots, and up to two persons walking and interacting with the cobots in real industrial settings. The dataset also includes different thermal distortions from other heat sources. In contrast to data from the public environment, this data collection addresses the challenges of indoor manufacturing, such as heat distortions from the environment, and allows for it to be applicable in indoor manufacturing. The Work-Life Robotics Institute HRC (WLRI-HRC) dataset contains 6485 images with over 20 000 instances to detect. In this research, the dataset is evaluated for implementation by different convolutional neural networks: first, one-stage methods, i.e., You Only Look Once (YOLO v5, v8, v9 and v10) in different model sizes and, secondly, two-stage methods with Faster R-CNN with three variants of backbone structures (ResNet18, ResNet50 and VGG16). The results indicate promising results with the best mean average precision at an intersection over union (IoU) of 50 (mAP50) value achieved by YOLOv9s (99.4 %), the best mAP50-95 value achieved by YOLOv9s and YOLOv8m (90.2 %), and the fastest prediction time of 2.2 ms achieved by the YOLOv10n model. Further differences in detection precision and time between the one-stage and multi-stage methods are discussed. Finally, this paper examines the possibility of the Clever Hans phenomenon to verify the validity of the training data and the models’ prediction capabilities.
Հունաստանում հրատարակված հայ մամուլի դերն ու նշանակությունը
Authors: Melyan Kristine
Published: February 2025

We touched upon the Armenian-Greek relations, the Armenian community, and the Armenian press in Greece. Due to historical and political circumstances, Armenians also settled in Greece. They created their own community structures, published the Armenian press and so on. The Armenian press of Greece touches on various issues: community life, Homeland-Diaspora relations, highlights the problems of the Armenian community of Greece, etc. The Armenian press in Greece plays a major role in preserving the Armenian identity within the Greek-Armenian community, especially among the younger generation, and contributes to the preservation of the Armenian language, traditions and customs. Among the databases on the website of the National Library of Armenia, the Armenian Press database is also important, where the main bibliographic data of periodicals with serial numbers are entered. Digital copies of periodicals are posted under the “read online” link.
Հայաստանի ազգային գրադարանի թվային փոխակերպման գործընթացները արդի մարտահրավերներին ընդառաջ
Authors: Melikbekyan Naira
Published: February 2025

The aim of the publication is to highlight the impact of information technology, virtual reality, artificial intelligence and the achievements in many other fields on libraries in general and, in particular, on the activities of the National Library of Armenia in the face of contemporary challenges. Prioritising the preservation of printed heritage, the library embarked on the mission of digitising its collections and making them accessible to users through Optical Character Recognition (OCR) systems. To achieve the aim, the following objectives have been set: presenting the process of digital transformation of the library, discussing priorities for the digitisation of the national printed heritage, providing access to digital versions in the repositories, outlining the recognition process.
Immaterielles Kulturerbe in Kriegszeiten. Die Bedeutung der syrischen Musiktraditionen für den kulturellen Wiederaufbau Syriens
Authors: Jalo Daisam
Published: February 2025

Daisam Jalo gelingt es, den humanitären Wiederaufbau mit der vielfältigen Kultur in Syrien auf verschiedene Weise kausal in einen Zusammenhang zu bringen. Mit seinem Ansatz veranschaulicht er, dass die Zusammenarbeit im Bereich von Forschung und Kulturarbeit auf vielfältige Weise gelingen kann. In einem so neu erlangten Selbstverständnis kann Syrien dann einer modernen Welt beitreten, ohne gewisse weitgehend entwurzelte Zukunftsperspektiven zu riskieren. Ein baldiger Frieden ist neben dem humanitären Aspekt, auch angesichts dieser von Daisam Jalo beschriebenen verheißungsvollen Perspektive dringend zu wünschen.

Prof. Dr. Tiago de Oliveira Pinto

Daisam Jalo ist Musikethnologe, Komponist und Musiker. Sein Arbeitsschwerpunkt liegt im Bereich der transkulturellen Musikforschung.
FOREIGN EXPERIENCE IN THE ORGANIZATION OF ACCOUNTING IN SMALL AND MEDIUM-SIZED BUSINESSES
Authors:   Narxoz University, Almaty, Kazakhstan, Nurkasheva N.S. , Omirkul A.N. ,   Narxoz University, Almaty, Kazakhstan
Published: February 2025

Бухгалтерлік есепті шағын бизнестің біздің экономикамыз үшін жаңа санаттағы бизнес құрылымы ретінде басқа позициялар арқылы жүргізудің әдістемелік және ұйымдастырушылық тәсілдерін зерделеу қажеттілігін талап етті. Себебі, бұл кәсіпорындар қызметінің ерекшелігі есепке алу және бақылау мақсаттары үшін қажетті ақпаратты қалыптастыруға ерекше талаптар қояды. Қазіргі жылдам дамып кеткен ақпараттық инновациялық жүйе бухгалтерлік ақпараттардың сапасын үнемі жақсартуды, оны егжей-тегжейлі көрсетуді және деректерді өңдеудің тиімділігін арттыруды қажет етеді.
Шағын бизнес кәсіпорындарында бухгалтерлік есеп пен салықты бөлек жүргізудің қажеттілігі – жалпы есеп пен салық салуды реттеудің қазіргі тенденциясы шағын бизнесте айтарлықтай қиындықтар туғызатынын көрсетіп отыр. Өйткені ШОБ (шағын және орта бизнес) субъектілері қатарлас бухгалтерлік есеп пен салықтық есепті ұйымдастыру үшін есеп қызметкерлерінің үлкен штатын ұстай алмайды. Бұл мәселелерді шешудің маңызды жолы салықтық есептеулерді жүзеге асыру және бухгалтерлік есеп жүргізу әдістемесін әзірлеу болып табылады.
Бұл ғылыми мақалада шағын кәсіпорындар бухгалтерлік есептің дұрыстығын растау ғана емес, сонымен қатар болашақта елеулі салық санкцияларын болдырмауға мүмкіндік беретін тиімді бухгалтерлік есеп пен бақылау жүйесін құрудың шетелдік тәжірибесі бойынша әдістемелер қарастырылды.