bluuebunny/crossref_metadata_2025 huggingface dataset:
Immersive Technologies: challenges of the inclusive design in times of natural hazards and climate change
Authors: Tavares Daniela Cardoso , Guarese Renan Luigi M. M. , Cheiran Jean Felipe P. , Teófilo Mauro Ricardo da S.
Published: October 2024

This paper addresses inclusive design in immersive technologies. From this perspective, we intend to expand the discussion on inclusive design among researchers and developers of immersive technologies. In addition, we intend to promote reflection on the importance of implementing inclusive design in projects involving climate change awareness and natural hazard mitigation. From the development of this research, we realized that, in general, the contributions of accessibility guidelines, inclusive design principles, and the research agenda represent a solid basis for discussing the opportunities and challenges related to the use of immersive technologies in emergency situations, ensuring that they do not exclude people with disabilities.
Augmenting the dark: Exploring assistive micro-guidance in sonified mixed reality
Authors: Guarese Renan , van Schyndel Ron , Polson Deb , Zambetta Fabio
Published: October 2024

This thesis proposes a series of user evaluations of spatialized sonification methods rendered as AR in simulated and real-life scenarios. It proposes and promotes next-generation micro-guidance methods for low-visibility and vision-impaired (VI) scenarios. In 2D hand-guidance, results (N=47) outlined that sound spatiality methods had the most promising performance in time taken and distance from target. When assessing vertical hand-guidance in a 3D task (N=19), results indicated a significantly higher accuracy for a novel height-to-pitch method. Finally, a significant disparity was found between VI (N=20) and sighted (N=77) people regarding sighted people’s empathy with the VI community. After an AR blindness embodiment experience, sighted people’s (N=15) empathetic and sympathetic responses towards said community significantly increased. Ultimately, this thesis evaluates how audio AR can help users to have accurate and safe performances in day-to-day manual tasks.
Sign2Sign - A First Attempt
Authors: Weng Titus , Lee SingChun
Published: October 2024

At the core of human engagement is communication. While technological advances enable convenient translation for different language speakers to communicate, millions of Deaf, Mute, and Hard-of-Hearing people still face immense hurdles due to the lack of accessible tools to facilitate direct sign language translation. Our project aims to build a Sign2Sign direct immersive translation tool using WebXR that takes input from any accessible camera and produces output in WebXR-supported platforms. This paper presents the preliminary results of direct translation between ten gestures of American and Chinese Sign Languages for sign language translations in an immersive environment.
Computadores Fazem Arte: Um Estudo de Caso sobre o Potencial Social das NFTs através de Formações Didáticas
Authors: Godoy e Silva Manuella de , Teixeira João Marcelo X. N.
Published: October 2024

Este artigo apresenta um estudo de caso sobre o potencial social das NFTs (tokens não fungíveis) por meio de formações didáticas no Brasil. A pesquisa investiga como as NFTs podem ser usadas como ferramentas de inclusão digital e conscientização socioambiental, especialmente em comunidades marginalizadas. O estudo analisa o cenário das NFTs no contexto artístico e cultural brasileiro, identifica as condições básicas necessárias para a criação e comercialização de NFTs, e explora abordagens educacionais para promover a compreensão e uso dessas tecnologias. Utilizando uma combinação de estudo de caso e pesquisa exploratória, foram conduzidas entrevistas, oficinas e análises de iniciativas educacionais. O desenvolvimento de material didático e a implementação de aulas práticas foram elementos centrais da pesquisa, buscando capacitar os participantes no uso de NFTs e tecnologias Web 3.0. Os resultados indicam que as formações educativas sobre NFTs podem fomentar o interesse e a compreensão prática da tecnologia, facilitando a inclusão digital e a participação ativa de grupos marginalizados. Este estudo contribui para o entendimento do papel das NFTs como ferramentas sociais, destacando a importância de continuar desenvolvendo e expandindo formações educativas para maximizar o impacto social e cultural das NFTs.
Crime Scene – VR: Immersive Learning Experience on Criminal Forensics
Authors: Silva Felipe Cortizo E. , Custodio Patrícia R. P. , Goulart Adriana da Silva , Spricigo Cinthia B.
Published: October 2024

This work aimed to develop an immersive experience simulating an authentic criminal forensics situation and observe student perceptions. A detailed pre-production phase created the VR scenario using a real case for reference. The experience was built with Unreal Engine and was applied in a postgraduate course. All respondents found the experience immersive and motivating, aiding their learning. Minor usability issues were reported, but no significant adverse effects like nausea or dizziness occurred.
A Proof of Concept of XR Application in the Construction of Logistics Warehouses
Authors: Jácome Jarbas , Alvez Luís E. M. , Brazileiro Ricardo
Published: October 2024

This proof of concept introduced Pernambuco’s industries to the new possibilities offered by XR technologies. Through the HoloLens 2, SVR 2024 attendees will be able to visualize an example of a logistics warehouse rendered in 3D within the real environment using augmented reality. The logistics company that experienced this PoC expressed interest in further exploring XR applications.
Eye Tracking and Immersive Environments: Analysing the Automotive Experience
Authors: Miguez Rafael , Brito Gabriel de , Leão Felipe , Winkler Ingrid
Published: October 2024

This study combines virtual reality and eye tracking to provide insights about a drivers’ attention and perception. The study follows the Design Science Research paradigm, in which we are using Unreal Engine and PICO 4 Enterprise VR head-mounted display to develop a prototype of a virtual vehicle in an immersive environment, allowing for the analysis of eye-tracking data. Our preliminary results demonstrate that eye tracking is effective in creating heat maps, aiding in the identification of focal points and distractions. Our research contributes to enhance usability testing, user experience, and safety within the automotive industry.
An AI and virtual reality-based computational model to simulate olfactory responses: proposing a research strategy
Authors: Ferreira Yasmim Thasla Santos , Siqueira Alexandre Gomes de , Andrade Carolina Horta , Winkler Ingrid
Published: October 2024

The combination of artificial intelligence and immersive technologies has the potential of enhancing olfactory experiences. This work proposes a research strategy for developing design guidelines for a computational model that integrates artificial intelligence and virtual reality technologies to simulate olfactory responses. We will follow the design science research approach, which will include a literature review, the development of design guidelines, and their evaluation. By leveraging machine learning algorithms and sensory data, the project seeks to optimize the perception and delivery of scents. The outcomes will contribute to creating more personalized and immersive olfactory experiences, potentially transforming industries such as perfumery and virtual reality.
Integrando Avaliações Textuais de Usuários em Recomendação baseada em Aprendizado por Reforço
Authors: Vasconcelos Naan , Reis Davi , Silva Thiago , Silva Nícollas , Cunha Washington , Tuler Elisa , Rocha Leonardo
Published: October 2024

In Multi-Armed-Bandit (MAB) approaches for Recommendation Systems, items are represented as arms to be recommended and the goal is to maximize the expected user’s satisfaction (i.e., reward). Despite the reward often being the ratings explicitly assigned by the user, in other scenarios, implicit ratings extracted from user comments by review-aware recommendation systems (RARs) may efficiently elucidate the user’s preferences. In this paper, we provide a preliminary study of the impact of using these implicit ratings instead of explicit ones in MAB approaches. Our results point out that implicit ratings decrease the entropy of the datasets, negatively impacting the performance of MAB.
O Impacto de Estratégias de Embeddings de Grafos na Explicabilidade de Sistemas de Recomendação
Authors: Zanon André Levi , Rocha Leonardo , Manzato Marcelo Garcia
Published: October 2024

Explanations in recommender systems are essential in improving trust, transparency, and persuasion. Recently, using Knowledge Graphs (KG) to generate explanations gained attention due to the semantic representation of information in which items and their attributes are represented as nodes, connected by edges, representing connections among them. Model-agnostic KG explainable algorithms can be based on syntactic approaches or graph embeddings. The impact of graph embedding strategies in generating meaningful explanations still needs to be studied in the literature. To fill this gap, in this work, we evaluate the quality of explanations provided by different graph embeddings and compare them with traditional syntactic strategies. The quality of explanations was assessed using three metrics from the literature: diversity, popularity and recency. Results indicate that the embedding algorithm chosen impacts the quality of explanations and generates more balanced results regarding popularity and explanation diversity compared to syntactic approaches.
Investigating User's Attentional Focus in Computational Environments: A Literature Review with Emphasis on Webcam Data
Authors: Souza Cassiano da Silva , Silveira Milene Selbach , Manssour Isabel Harb
Published: October 2024

Maintaining the user’s attentional focus has become a recurring concern in recent years. This is due to the consolidation of remote and hybrid models for study and work, which were widely experienced during the social distancing caused by COVID-19. This paper presents a review of works that address this problem by analyzing webcam data, a promising device for behavioral studies. The literature review from 2013 to 2023 was carried out using a hybrid search strategy, through which we selected and analyzed 57 papers. The summary of this study is presented in an interactive visual survey format called the AttentionVis Browser tool. As additional contributions, we provide a list of lessons learned, a list of work limitations, and possibilities for future research.
Análise da Percepção do Uso de Cigarros Eletrônicos no Brasil por meio de Comentários no YouTube
Authors: Dias Aline , Tanure Richardy R. , Almeida Jussara M. , Lima Helen C. S. C. , Ferreira Carlos H. G.
Published: October 2024

The rise of video platforms such as YouTube has revolutionized information sharing and influenced social habits and product consumption. At the same time, the diverse global regulatory landscape and ongoing studies on the health effects of e-cigarettes have led to intense and controversial debates. Amidst this, the production of content about e-cigarettes on the internet is rapidly increasing, particularly on YouTube, one of the most popular video platforms globally and the most popular in Brazil. Despite the growing body of research focused on understanding online interactions with e-cigarettes, there is a lack of comprehensive and detailed temporal analyses that capture the dynamics of the debate and people’s stance towards these products, especially in the Brazilian context. To address this gap, our study aims to investigate the popularity and acceptance of e-cigarettes in Brazil by analyzing YouTube videos and their associated comments. We collected an extensive dataset of videos, channels, comments and their metadata from 2018 to 2023. Our methodology involved analyzing production and engagement metrics, and developing a deep learning-based stance detection model to estimate people’s stance (approval or disapproval) based on comments and quantify the temporal dynamics of these attitudes over the years. Our findings reveal a significant increase in content production and user engagement, indicating a growing public interest, with a notable increase in approving comments on the product. This study fills previous research gaps by offering a comprehensive and pioneering overview of e-cigarette use and public perception in Brazil, emphasizing the need for a more informed discussion among society and regulatory bodies.
Investigating the accessibility of popular mobile Android apps: a prevalence, category, and language study
Authors: Andrade Matheus Gomes de , Rabelo Daniel Mesquita Feijó , Martins Ribamar de Souza , Viana Windson
Published: October 2024

Accessibility in mobile applications is crucial for ensuring that all users, including those with disabilities, can effectively interact with technology. Despite advancements in smartphone integration, significant accessibility challenges remain. This study investigates the accessibility of popular mobile Android apps, examining the prevalence of accessibility issues, categorizing the types of errors, and evaluating the impact of language on accessibility. We evaluated eight widely used apps using the Accessibility Scanner tool and executed them across three languages: Portuguese, English, and Spanish. Results indicate that most accessibility issues are related to touch target size (1145) and contrast (594). Furthermore, the execution language affects accessibility, with spanish presenting the highest number of errors (828). This study underscores the importance of integrating accessibility best practices in app development and suggests areas for future research to improve mobile app accessibility.
Interpolação e Previsão de Precipitação por Redes Neurais Convolucionais para Grafos
Authors: Fonseca Augusto , Goldschimidt Ronaldo , Ogasawara Eduardo , Ferro Mariza , Porto Fábio , Bezerra Eduardo
Published: October 2024

Statistical interpolation methods used to adapt data do not adequately capture the spatiotemporal dependencies of meteorological data. This work proposes the use of Graph Convolutional Neural Networks (GCNs) for precipitation interpolation and forecasting. The experiments utilized radar data and in-situ station data. Comparing GCN interpolation with the statistical Inverse Distance Weighting (IDW) method, preliminary results indicate that GCNs exhibit better accuracy in extreme precipitation events, also showing promise in events of lesser magnitude.
Interoperability Testing Guide for the Internet of Things
Authors: Castelo Branco Karina da Silva , Dantas Valéria Lelli Leitão , Carvalho Liana Mara
Published: October 2024

The Internet of Things (IoT) has expanded the Internet by integrating smart objects, which when interconnected, can collect and share information to provide services. However, the intense data traffic and the diversity of interaction methods of smart objects, which vary based on the protocols and standards, bring several challenges for IoY Interoperability Testing. Such testing evaluates the capability of systems and devices to cooperate effectively. Regarding the challenges in IoT interoperability testing, we highlight the complexity of IoT architecture, the devices heterogeneity, and the guarantee of effective connectivity among the smart objects. In this context, this paper presents a interoperability testing guide for IoT. The guide was developed based on a literature review using systematic mapping and an analysis of real IoT environments. The guide’s evaluation consisted of two steps: (1) a structural assessment using the Technology Acceptance Model (TAM), and (2) a controlled experiment applying the guide to test a real IoT application.
Crianças e Propagandas no TikTok: identificando publicidade infantil na rede social TikTok
Authors: Carvalho Raíssa Gonçalves Lopes , Marques-Neto Humberto Torres
Published: October 2024

This study addresses the identification of advertising on TikTok and its impact on children’s behavior, highlighting the growing presence of this platform in children’s routines. Considering the subtle and often disguised nature of advertising aimed at children, the work focuses on identifying and analyzing all advertising done by influencers for children on this social network. Using a machine learning-based methodology, we built a database of influencer posts by automatically classifying advertising and non-advertising content aimed at children. We applied algorithms such as Naive Bayes and Support Vector Machine to classify videos that accurately address child advertising on TikTok. The results showed that the SVM model performed best, with high accuracy and F1-Score. The research also proposes future improvements, including context analysis and the expansion of the keyword base, to enhance the detection of child advertising and protect young users of the platform.
E-BELA: Enhanced Embedding-Based Entity Linking Approach
Authors: Pereira Ítalo M. , Ferreira Anderson A.
Published: October 2024

Entity linking is the process of connecting mentions of entities in natural language texts, such as references to people or places, to specific entities in knowledge graphs, such as DBpedia or Wikidata. This process is crucial in the natural language processing tasks since it facilitates disambiguating entities in unstructured data, enhancing understanding and semantic processing. However, entity linking faces challenges due to the complexity and ambiguity of natural languages, as well as the discrepancy between the form of textual entity mentions and entity representations. Considering that entity mentions are in natural language and entity representations in knowledge graphs have object nodes that describe them in the same way, in this work we propose E-BELA, an effective approach based on literal embeddings. We aim to put close vector representations of mentions and entities in a vector space, allowing linking of mentions and entities by using a similarity or distance metric. The results demonstrate that our approach outperforms previous ones, contributing to the field of natural language processing.
An Ensemble Approach to Facial Deepfake Detection Using Self-Supervised Features
Authors: Cunha Yan Martins B. Gurevitz , Boaro José Matheus C. , Moraes Daniel de Sousa , Santos Pedro Cutrim dos , Costa Polyana Bezerra da , Busson Antonio José Grandson , Duarte Julio Cesar , Colcher Sérgio
Published: October 2024

Substantial efforts have been dedicated to developing methods for detecting deepfake content, especially with the creation of large and diverse datasets with both higher image quality and demographic features. In this scenario, CNN-based approaches showed good initial success, later improved by their combination with Vision Transformers. More recently, Foundation Models (FMs) have emerged, improving performance across many visual tasks, including deepfake detection, and combining self-supervised features generated by FMs with CNN-based classifiers has resulted in significant performance gains. However, taking advantage of multiple maps of self-supervised features is not as straightforward as just adding more channels to the classifier. Therefore, this work explores ensemble techniques to effectively utilize these diverse self-supervised feature maps for realistic facial deepfake detection. Our experiments indicate that combining the output results of different classifiers, each one utilizing a single map of self-supervised features, leads to significant performance improvements, and several committee approaches consistently outperform individual classifiers, demonstrating the potential of these methods in enhancing deepfake detection accuracy.
Why Ignore Content? A Guideline for Intrinsic Evaluation of Item Embeddings for Collaborative Filtering
Authors: Pires Pedro R. , Rizzi Bruno B. , Almeida Tiago A.
Published: October 2024

With the constant growth in available information and the popularization of technology, recommender systems have to deal with an increasing number of users and items. This leads to two problems in representing items: scalability and sparsity. Therefore, many recommender systems aim to generate low-dimensional dense representations of items. Matrix factorization techniques are popular, but models based on neural embeddings have recently been proposed and are gaining ground in the literature. Their main goal is to learn dense representations with intrinsic meaning. However, most studies proposing embeddings for recommender systems ignore this property and focus only on extrinsic evaluations. This study presents a guideline for assessing the intrinsic quality of matrix factorization and neural-based embedding models for collaborative filtering, comparing the results with a traditional extrinsic evaluation. To enrich the evaluation pipeline, we suggest adapting an intrinsic evaluation task commonly employed in the Natural Language Processing literature, and we propose a novel strategy for evaluating the learned representation compared to a content-based scenario. Finally, every mentioned technique is analyzed over established recommender models, and the results show how vector representations that do not yield good recommendations can still be useful in other tasks that demand intrinsic knowledge, highlighting the potential of this perspective of evaluation.
Metagame Planeta Jovem: Transformando jovens em sua melhor versão
Authors: Gularte Daniel , Oliveira Mauro , Ramos Sílvio
Published: October 2024

This article is an experience report that presents the theoretical foundations, methodologies and operational management of a multimedia solution used as an extension project in secondary school units in municipalities in Ceará for three months. Named, Planeta Jovem, the project used game technologies using narratives inspired by the goals of sustainable development to develop socio-emotional skills in program participants that are capable of changing their perception of the world to na individual with more relevance to their territory.
Impulsionando a descoberta de tratamentos na medicina através da representação distribuída de palavras
Authors: Berto Matheus V. V. , Almeida Tiago A.
Published: October 2024

Word embeddings are mathematical and computational representations that consist of high dimensional vectors capable of encoding the meaning of terms or sentences in a text. This well-established approach enhanced many Natural Language Processing applications, since it can be easily generated from large textual datasets by a different set of algorithms. In this study, we have extended a recently discovered use of word embeddings: the ability to uncover potential implicit information in a corpus (also known as latent knowledge) that may not be achievable with human analysis alone. More specifically, our work combines word embeddings computed through diverse unsupervised methods in order to extract latent knowledge that could anticipate clinical discoveries in the field of medicine. By using a massive amount of scientific papers related to a high deadly cancer called Acute Myeloid Leukemia, our study shows that currently approved therapies could have been investigated earlier due to drug testing notifications issued by our framework. Therefore, our strategy collaborates to a faster drug analysis and biomedical discoveries. Details about our proposal and in-depth analysis of the results can be found in Berto et al. [2].
Evaluating Zero-Shot Large Language Models Recommenders on Popularity Bias and Unfairness: A Comparative Approach to Traditional Algorithms
Authors: Ortega Gustavo Mendonça , Souza Rodrigo Ferrari de , Manzato Marcelo Garcia
Published: October 2024

Large Language Models (LLMs), such as ChatGPT, have transcended technological boundaries and are now widely used across various domains to enhance productivity. This widespread application highlights their versatility, with a notable presence as recommender systems. Existing literature already showcases their capabilities in this area. In this paper, we present a detailed empirical evaluation of the effectiveness of Zero-Shot LLMs, specifically ChatGPT 3.5 Turbo, without special settings, in calibrating popularity bias and ensuring fairness in movie and TV show recommendations when prompted. We particularly focus on how these models adapt their output, comparing them to traditional post-processing algorithms. Our findings indicate that LLMs, evaluated through metrics such as Mean Average Precision (MAP) and Mean Rank Miscalibration (MRMC), not only perform well but also have the potential to surpass conventional recommender systems models like Singular Value Decomposition (SVD) when paired with calibration methods. The results underscore the advantages of using LLMs in more advanced scenarios due to their ease of implementation and performance.
Furando a Bolha: Nudges Digitais em Sistemas de Recomendação
Authors: Alves Gabrielle , Manzato Marcelo G.
Published: October 2024

This research explores the challenges of recommendation systems, focusing on diversity and bias mitigation. Excessive precision can create filter bubbles, limiting users’ worldviews and reinforcing existing preferences – a path to injustice and polarization. We investigate how nudge mechanisms can encourage interactions with diverse content, reducing biases. We analyze user interactions with recommendations, both with and without these nudges, using qualitative and quantitative methods. The results show that nudges increase diversity without compromising system quality. This research deepens the understanding of how to integrate diversity into recommendations while maintaining user satisfaction and suggests practical improvements to enhance fairness and improve the user experience.
Explorando Formas de Calibração e Redução do Viés de Popularidade em Sistemas de Recomendação
Authors: Souza Rodrigo F. , Manzato Marcelo G.
Published: October 2024

Recommender systems aim to enhance user engagement by suggesting new content based on their interests. Common algorithms like collaborative filtering recommend items similar to those users prefer, facilitating content discovery. However, recent research has identified issues such as unfairness, calibration errors, and popularity bias. While popularity bias promotes popular item consumption, it can lead to unfair recommendations that do not accurately reflect individual user interests. Current calibration methods focus on fairness but often overlook the amplifying effect of popularity bias. Our study addresses this gap by investigating calibration techniques and bias reduction strategies to deliver fairer recommendations aligned with user preferences, across various popularity levels. This research contributes insights into system calibration, fairness, user experience, and evaluation metrics.
AvaliApp: instrumento de autoavaliação do cuidado em instituições de longa permanência do idoso
Authors: Oliveira Bernardo , Vieira Bruno Luís De Carvalho , Mota Virgínia Fernandes
Published: October 2024

The rapid aging of the population increases the demand for long-term care, which, when not provided by the family, may be offered by long-term care institutions for the elderly (ILPIs). These institutions require careful evaluation to ensure the health and well-being of the elderly. Such evaluation is crucial for enabling comparisons and assisting in the selection of ILPIs. This work introduces AvaliApp, an application developed for the self-assessment of care in ILPIs. AvaliApp aids in the management of these institutions and contributes to the continuous improvement of care provided to the elderly by supporting the self-assessment of six dimensions: Environment, Workforce, Care, Home, Family and Community Involvement, and ILPI Management.
Planejamento e Estratégia de Comunicação para a TV UFMA na transição para a TV 3.0
Authors: Chaves Miguel Bruno Alves , Shuen Li-Chang
Published: October 2024

This paper aims to describe the planning of TV UFMA in the transition to TV 3.0, addressing the opportunities for audience interaction and the provision of personalized content. The methodology employed included a questionnaire directed at the station’s team, composed of members from the areas of management, journalism, production, technical, and engineering. The results highlight the level of knowledge and expectations of the staff regarding the new technology, identifying the main challenges and the needs for technological adaptation. The research reveals proactive preparation by TV UFMA for the next generation of digital TV, demonstrating the team’s commitment and the strategies to ensure a successful transition.
Avaliação da Experiência do Telespectador na Transição para a TV Orientada a Aplicativos
Authors: Shuen Li-Chang , Soares Neto Carlos de Salles , Moreno Marcelo Ferreira , Bentivi Zefinha , Gonçalves João Victor Cruz , Costa Iago Victor Silva
Published: October 2024

This position paper aims to evaluate the viewer experience during the transition to app-driven digital TV. Using focus groups and individual assessments, complemented by a quantitative survey, the research initially aimed to understand the average viewer’s assessment. However, important nuances were identified concerning populations experiencing digital exclusion, which were addressed with complementary qualitative investigation. The results highlight both the positive reception and specific difficulties faced by average viewers and viewers in situations of digital vulnerability.
Controle remoto e segunda tela para uma TV 3.0 orientada a aplicativos
Authors: Pernisa Júnior Carlos , Moreno Marcelo F. , Teixeira Stanley Cunha , Montezano Cristiane Turnes
Published: October 2024

This paper explores the innovations proposed for TV 3.0, with a focus on the development of a reference remote control and the integration of the second screen. The remote control, redesigned for this new ecosystem, includes advanced functionalities that extend to second-screen devices, such as smartphones. The second screen, in addition to replicating the remote control, enhances interaction possibilities with features like content personalization, real-time synchronization, and improved accessibility. Detailed use cases include navigating program guides, marking and zooming in on specific areas during sports broadcasts, controlling ambient stadium sound, and managing profiles and privacy directly on the second screen. These examples illustrate the potential of TV 3.0 to offer a rich and adaptable experience for diverse audiences.
Konkrete Ergebnisziele im deutschen Gesundheitswesen – eine Schimäre der Gesundheitswissenschaften
Authors: Meinlschmidt Gerhard
Published: October 2024

Gesundheitsziele als Instrument der Gesundheitspolitik sind mit dem Auf- und Ausbau der Gesundheitsberichterstattung in den 90er Jahren des letzten Jahrhunderts mit viel Aufwand entwickelt worden und damit wurde auch die Lücke zu den internationalen Aktivitäten deutlich geschlossen. Die Festlegung von konkreten Gesundheitszielen nach Maß und zeitlichem Bezug wurde jedoch eher selten erarbeitet. Das hängt offensichtlich mit dem mangelnden politischen Willen der Akteure, den unverbindlichen Verabredungen sowie den mangelnden Koordinationsgrundlagen für ein gemeinsames Handeln in den gemeinsamen Gremien zusammen. Insofern bleibt die epidemiologische Formulierung von Ergebniszielen eher ein Wunschdenken der Public-Health-Froschung.
Weiterentwicklung der Gesundheitsberufe
Authors: Wisniowski Nora , Schluttig Marie , Lenz Lara , Kurscheid Clarissa
Published: October 2024

Das deutsche Gesundheitswesen mit über sechs Millionen Beschäftigten steht vor Herausforderungen durch den demografischen Wandel, den Fachkräftemangel und sich verändernde Versorgungsbedarfe. Im Koalitionsvertrag von

2021 werden daher Vorhaben benannt, um die Gesundheitsberufe an der sozialen und gesellschaftlichen Situation neu auszurichten und umzugestalten. Die vorliegende Zwischenbilanz analysiert den Zielerreichungsgrad dieser Vorhaben und diskutiert weitere Lösungsmöglichkeiten im Hinblick auf die Herausforderungen.
Die Situation versorgungsintensiver Kinder und ihrer Eltern in Berliner Kitas
Authors: Boguth Katja , Priesemuth Bennet
Published: October 2024

Inklusion und Teilhabe sind unverzichtbare Aufgaben unserer Gesellschaft, besonders in Kindertageseinrichtungen, wo Kinder ihre ersten sozialen Erfahrungen außerhalb der Familie sammeln und pädagogische Grundlagen für Bildungs- und Gesundheitsförderungsprozesse gelegt werden. Der Kita- Alltag stellt sich für Kinder mit körperlichen, geistigen oder psychischen Behinderungen und/oder chronischen Erkrankungen aufgrund vielfältiger Barrieren jedoch oft als schwierig dar. In dem vorliegenden Text werden Ergebnisse aus Expert*innen- und Gruppeninterviews zur Ist-Situation dieser Kinder in Berliner Kitas gezeigt und mögliche Problemlösungen skizziert.
Neuromuscular Junction Disorders in the Elderly
Authors: Shanina Elena , Glenn Smith Robert
Published: October 2024

The neuromuscular junction (NMJ) is unusually susceptible to disease in aging humans. Both primary autoimmune and paraneoplastic disease target the presynaptic and postsynaptic portions of the NMJ, leading to well-defined syndromes, including Lambert-Eaton myasthenic syndrome and myasthenia gravis. Primary immune disease has a bifid incidence peak, with both diseases found in younger individuals with a predilection for females and in older individuals with less or no gender specificity. Their paraneoplastic counterparts, classically identified in patients with small-cell lung carcinoma and thymomas, respectively, are much more common in older individuals. Almost 90% have onset after age 50, with 60+% of paraneoplastic disease patients being male. Although diseases of the NMJ are also diagnosed in young individuals, the lifespan of those individuals has been lengthened with available treatments, leading to specific challenges for older patients with myasthenic syndromes.
THE SYSTEM OF MILITARY PERSONNEL TRAINING IN THE UNIVERSITIES OF GROUND FORCES OF THE RUSSIAN ARMY IN THE PERIOD OF REFORMS: STAGES OF TRANSFORMATION
Authors: Ахмадиева Эльвира Варисовна
Published: October 2024

В статье представлены этапы преобразований в подготовке военных кадров в вузах Сухопутных войск в период реформирования Вооруженных сил Российской Федерации. Рассматриваются основные направления реформирования системы высшего военного образования, отражены аспекты становления и особенности военного образования.

The article presents the stages of transformation in the training of military personnel in in military higher education institutions of the Ground Forces in the period of reforming the Armed Forces of the Russian Federation. The article considers the main directions of reforming the system of higher military education, reflects the aspects of formation and peculiarities of military education.
НОВЫЕ СРЕДСТВ БОРЬБЫ С ЗООФИЛЬНЫМИ МУХАМИ В СВИНАРНИКАХ В УСЛОВИЯХ ПРОМЫШЛЕННОГО ПРОИЗВОДСТВА
Authors: Сафиуллин Ринат Туктарович , Качанова Екатерина Олеговна
Published: October 2024

В свинарнике для доращивания поросят исходное количество имаго мух за две недели до завершения технологического цикла колебалось от 163 до 286 экз., а среднее их количество составило 249 экз. Количество личинок мух и куколок определяли в соскобах из пола свинарников и их среднее количество по шести точкам составило 29 экз. В процессе 10-недельного цикла производства после дезинсекции препаратом Сольфак Дуо СК 7,5 % интенсэффективность против имаго мух в среднем за весь период составила 82,69 %, Сольфак Дуо + Байцидал - 99,04 %, Квик Байт гранулы (имидаклоприд 0,5 %) - 63,49 %. При испытании совместного назначения препаратов Сольфак Дуо + Байцидал в условиях производства в разные сроки после применения получена высокая интенсэффективность как против взрослых мух ИЭ - 98,84 - 99,04 %, так и против личинок мух ИЭ - 100 %.
QUASI-CORPORATE AGREEMENT AS AN INSTRUMENT FOR PROTECTING THE BENEFICIAL OWNER OF A CORPORATION FROM BEING UNDER RESTRICTIONAL MEASURES OF FOREIGN STATES
Authors: Чугунов Григорий Евгеньевич
Published: October 2024

Статья посвящена анализу теоретических и практических вопросов контроля за деятельностью корпорации посредством корпоративного договора без вступления бенефициарного владельца в состав участников корпорации. В работе сравниваются различные инструменты по защите бенефициарного владельца корпорации от попадания под ограничительные меры иностранных государств, в том числе с помощью квазикорпоративного договора. Автор исследует основные принципы квазикорпоративного договора, а также анализирует причины, по которым применение на практике квазикорпоративного договора может быть затруднено. Полученные в результате исследования выводы и рекомендации могут быть полезны как для научного сообщества, так и применяться практикующими юристами в современных условиях.

The article is devoted to the analysis of theoretical and practical issues of control over the activities of a corporation through a corporate agreement without the beneficial owner becoming a member of the corporation's participants. The work compares various instruments for protecting the beneficial owner of a corporation from falling under restrictive measures of foreign states, including through a quasi-corporate agreement. The author examines the basic principles of a quasi-corporate agreement, and also analyzes the reasons why the application of a quasi-corporate agreement in practice may be difficult. The conclusions and recommendations obtained as a result of the study can be useful both for the scientific community and can be used by practicing lawyers in modern conditions.
МЕДИАПРАКТИКИ КАК СРЕДСТВО ПАТРИОТИЧЕСКОГО И ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ШКОЛЬНИКОВ В РАМКАХ ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ
Authors: Сапунова Мария Александровна
Published: October 2024

Духовно-нравственное и патриотическое воспитание, с точки зрения педагогики - значимая сфера. Работа с новыми технологиями задает особый ритм и динамику повседневной жизни человека. Динамичная жизнь школы, желание детей быть в курсе событий ставит перед фактом необходимость внедрения и применения современных технологий. И главная задача - сформировать правильные поведенческие установки через школьные медиапрактики.
TYPES AND FUNCTIONS OF SPECULATIVE FICTION IN “HIS DARK MATERIALS” BY PHILIP PULLMAN
Authors: Шеряков Тимур Константинович
Published: October 2024

В статье исследуется представленный в трилогии Пулмана синтез сказочной, мифологической, фэнтезийной и рационально-фантастической условностей. Делается вывод, благодаря взаимному наложению разных моделей бытия, характерных для указанных типов вымысла, происходит деконструкция христианского мифа и создается возможность прочтения фэнтезийной образности в научно-фантастическом ключе.

The article examines functions and types of speculative fiction (myth, fairytale, fantasy, science fiction) that are mixed in His Dark Materials by Philip Pullman. This work shows the process of deconstruction of Christian mythology in the trilogy and studies the transformation of fantasy’s secondary world into typical for science fiction multiverse.
DEVELOPMENT OF FLAVOROUS ADDITIVES FOR TOBACCO PROCESSING BASED ON MAILARD REACTION PRODUCTS
Authors: Карманов Денис Александрович , Гнучих Евгения Вадимовна
Published: October 2024

В статье представлены результаты исследований по разработке вкусоароматических добавок на основе продуктов реакции Майяра, применяемых в табачной промышленности. Дегустационная оценка табака показала явное улучшение его потребительских качеств после обработки указанными добавками.

The article presents the results of research on the development of flavoring additives based on Maillard reaction products used in the tobacco industry. A tasting assessment of tobacco showed a clear improvement in its consumer qualities after treatment with the indicated additives.
АНАТОМИЧЕСКИЕ ПРЕДПОСЫЛКИ НЕУСПЕШНОСТИ ГЕРНИОПЛАСТИКИ ПРИ ПАХОВЫХ ГРЫЖАХ И ПУТИ ЕЕ РЕШЕНИЯ
Authors: Лымарь Ю.Ю. , Юдин В.А. , Ставцев М.Л. , Супряга А.А. , Юдин И.В.
Published: October 2024

Наиболее частым местом появления грыж живота является паховый канал. Однако существующие оперативные способы его закрытия не решают проблемы повторного грыжеобразования и послеоперационных осложнений. В связи с этим совершенствование общепринятых техник герниопластики и разработка новых методик оперативного лечения паховых грыж остаются актуальными для современной медицины. Одной из принципиальных задач для успешной реализации этого является детальное изучение структур пахового канала и уязвимых анатомических зон этой области.
РЕКРЕАЦИОННО-ТУРИСТИЧЕСКИЙ ПОТЕНЦИАЛ РЕСПУБЛИКИ БАШКОРТОСТАН
Authors: Сарварова Р.Р. , Шакирянов Р.Р.
Published: October 2024

В данной статье отображены свойства устойчивого туризма, разнообразие и богатство уникальных природных туристско-рекреационных объектов Башкортостана, выявлены факторы роста туризма, предложенаконцепция региональной организации связей между субъектами услуг туризма и схема логистики туризма в Республике Башкортостан.
Психоневрологическое проявления заболевания, вызванного оспой обезьян (monkeypox, MPX, Mpox), в настоящее время
Authors: Улюкин И.М.
Published: October 2024

В работе проведен анализ данных по вопросам распространения и диагностики в настоящее время психоневрологических проявлений заболевания, вызванного оспой обезьян (monkeypox, MPX, Mpox), сопровождения больных в процессе их терапии и реабилитации в плане поддержания санитарно-эпидемиологического благополучия общества.
О ВЛИЯНИИ КУЛЬТУРЫ НА ЭКОНОМИКУ
Authors: Фаркова Н.А.
Published: October 2024

C момента зарождения экономической науки проявлялась связь между природой человека и состоянием экономики. Вопросы, связанные с культурой наций, анализ её влияния на развитие экономики государств, остаются одними из актуальных со второй половины прошлого столетия. Сегодня, в период глобального переустройства межгосударственных связей и отношений, знания о взаимосвязи культуры и экономики позволят составить представление о возможном мироустройстве в будущем.
К ВОПРОСУ ОБ ОЦЕНКЕ РИСКОВ В МОРСКОМ ПРОМЫШЛЕННОМ РЫБОЛОВСТВЕ
Authors: Мухамедов М.Р.
Published: October 2024

В данной статье рассматривается разработка и внедрение математической модели оценки рисков в морском промышленном рыболовстве. Учитываются такие факторы, как опасности для здоровья и жизни людей. Модель включает в себя вероятностные и количественные методы оценки рисков, а также их взвешивание с учетом значимости. В заключение обсуждаются современные системы автоматизации, которые уже активно применяются на рыбопромысловых судах для минимизации рисков.
АPPLICATION OF THE MEDICAL INFORMATION AND ANALYTICAL SYSTEM “ECHINOCOCCOSIS IN CHILDREN”
Authors: Shamsiev J.A. , Isakov A.M. , Shamsiev S.J. , Matlabov P. , Igamova S.S.
Published: October 2024

Practical experience of working with MIAS "Echinococcosis in Children" on processing long-term data at the Specialized Pediatric Surgical Clinic of Samarkand State Medical University, which included 627 children, showed its high effectiveness in scientific information analysis and ease of system mastery.
Tribalism and Cultural Discontent in the Middle East
Authors: Esmailzadeh Yaser ,   Institute for Interdisciplinary Research
Published: October 2024

The Middle East has long been characterized by political instability, violent conflicts, and cultural tensions. In recent years, the re-emergence of tribalism has further contributed to the deterioration of peace in the region. This essay investigates the influence of tribalism on cultural discontent and violence in the Middle East, arguing that it reinforces identity politics, exacerbates sectarianism, and undermines democratic values. These factors, in turn, fuel conflicts and hinder peace-building endeavors. The essay explores specific instances where tribalism has escalated violence, emphasizing the challenges of addressing its root causes. For a comprehensive understanding, there is a need to examine historical and contemporary factors that contribute to tribalism's growth and persistence. The complex interplay between tribalism and other socio-political dynamics highlights how these interactions exacerbate regional instability. The essay concludes by advocating for increased attention to cultural aspects of conflict and the necessity for more effective strategies to foster intercultural dialogue and understanding in the region.
U.S. Constitutional Originalism from Transcendence: The Founders’ Methodology
Authors: Seaver George A. ,   Institute for Interdisciplinary Research
Published: October 2024

The characteristic that made the U.S. Constitution effective is the transcendence of the concepts it embodies. This essay seeks to define transcendence, its relationship to originalism in Constitutional interpretations, its historic origins, the consequences of rejecting them, and provide a truly originalist standard for Supreme Court decision-making. This transcendence has resulted in the U.S. being the only democracy since the Roman Republics to have been sustained over the long-term. Four specific areas are suggested by the Federalist Papers and many federal decisions over the last 50 years in the areas of civil rights, balance of power, public virtue, and judicial restraint. In civil rights, restoring the Constitutional diversity of this extended Republic would reverse the present “diversity, equity and inclusion” and its destructive policy. The recovery of the free exercise of religion from its “sincere personal belief” status would encourage a moral way of thinking and living by restoring Article I in the Bill of Rights to its proper status.
Comparative analysis of international and Malaysia approaches to the treatment of patients with chronic gastritis from the point of view of evidence-based medicine
Authors: Hui Yee Leah , Salibi Ghassan , Tzenios Nikolaos
Published: October 2024

Background: Chronic gastritis, often resulting from *Helicobacter pylori* infection, is a widespread gastrointestinal disorder. The condition requires evidence-based treatment approaches to ensure effective management and improved patient outcomes. This study conducts a comparative analysis of the treatment approaches for chronic gastritis in Malaysia and internationally, focusing on adherence to evidence-based medicine (EBM) practices. Understanding the similarities and differences in these approaches is critical for enhancing Malaysia's healthcare strategies. Methods and Materials: The study employed a systematic review of relevant literature sourced from global medical databases, including PubMed, Embase, and Cochrane Library. The review focused on therapeutic options, diagnostic standards, and evidence-based protocols for managing chronic gastritis, with emphasis on both international and Malaysian healthcare systems. Studies included in the review primarily focused on adult patients diagnosed with chronic gastritis and treated using evidence-based methodologies. Results: The analysis revealed significant parallels in the treatment protocols between Malaysia and international guidelines, particularly in the use of proton pump inhibitors (PPIs) and antibiotic regimens for *H. pylori* eradication. However, differences emerged in the implementation of advanced diagnostic tools, accessibility of healthcare services, and the influence of local antibiotic resistance patterns. While Malaysia follows global best practices, rural-urban healthcare disparities impact the consistency of treatment delivery and patient outcomes. Conclusion: Both international and Malaysian approaches to chronic gastritis prioritize evidence-based medicine. The findings suggest that Malaysia effectively adapts international guidelines to its local healthcare context, though improvements are needed in addressing healthcare accessibility and antibiotic resistance. Enhanced implementation of EBM practices, particularly in rural areas, and personalization of treatment based on resistance patterns, could further optimize patient outcomes in Malaysia.