bluuebunny/crossref_metadata_2025 huggingface dataset:
Matriz de riesgos y controles: auditoría a bases de datos
Authors:   Universidad Cooperativa de Colombia, Guzmán Paredes Yomaira
Published: May 2024

En esta oportunidad vamos a desarrollar una auditoría a las bases de datos de la empresa La Katirita. Las bases de datos desempeñan un papel fundamental en el almacenamiento y gestión de la información crítica de la empresa, incluyendo datos de clientes, transacciones financieras, registros de empleados y otros datos sensibles. El alcance de esta auditoría abarca todas las bases de datos utilizadas en la organización. Se analizarán los procesos de diseño, implementación, mantenimiento y protección de las bases de datos, así como las políticas y procedimientos asociados. La importancia de realizar una auditoría de bases de datos radica en garantizar la confidencialidad, integridad y disponibilidad de la información almacenada, así como en identificar posibles vulnerabilidades y riesgos relacionados con la gestión de datos. Además, la auditoría permitirá evaluar el cumplimiento de las regulaciones y normativas pertinentes, como la Ley de Protección de Datos y las mejores prácticas de seguridad de la información.
Greenwashing e Desinformação: A Publicidade Tóxica do Agronegócio Brasileiro nas Redes
Authors: Medeiros Priscila , Salles Débora , Magalhães Thamyres , Melo Bianca , Santini Rose Marie
Published: May 2024

O agronegócio, um dos principais setores econômicos do Brasil, compõe uma das mais poderosas forças políticas no congresso do país, a Frente Parlamentar da Agropecuária (FPA), e aparece como o principal impulsionador do lobby anti-ambiental. A FPA busca incidir sobre a legislação trabalhista, fundiária e tributária e foi uma importante aliada do Governo de Jair Bolsonaro, uma vez que a agenda de desmonte ambiental do ex-presidente ia ao encontro dos interesses econômicos do agronegócio. No entanto, a necessidade de garantir uma imagem positiva do setor se reflete em diversas estratégias de comunicação, inclusive na veiculação de anúncios pagos nas plataformas online. Nesse sentido, a presente pesquisa pretende analisar a possível presença de greenwashing e/ou desinformação nos 158 anúncios publicados pela FPA no Facebook e Instagram durante o ano de 2023. Após coletarmos os anúncios na interface da Biblioteca de Anúncios da Meta, adotamos três abordagens complementares de análise que nos permitiram identificar e interpretar as estratégias discursivas empregadas pela FPA para “melhorar a imagem do agro”: contagem automática de palavras e análise de coocorrência entre elas, análise de conteúdo e análise de discurso. Nos anúncios analisados, a sustentabilidade é instrumentalizada pelo agronegócio brasileiro como greenwashing e desinformação em sua comunicação publicitária online. Essas estratégias discursivas são utilizadas na publicidade digital da FPA para criminalizar os movimentos sociais que lutam por uma reforma agrária e para disseminar pânico sobre inseguranças jurídicas relacionadas ao direito à propriedade. De uma forma geral, nossos resultados mostram que os anúncios defendem a necessidade de manutenção do status quo das relações socioeconômicas no campo brasileiro e promovem negacionismo em relação aos impactos ambientais do agronegócio.
Grupo centrado: experiência com mulheres na vivência do ciclo gravídico puerperal
Authors: Barbalho Adriana Mendes , Magalhães Fernanda Cândido
Published: May 2024

OBJETIVO: Compreender experiência de grupo orientado pela Abordagem Centrada na Pessoa (ACP) com mulheres que vivenciam o ciclo gravídico puerperal, no contexto do Sistema Único de Saúde (SUS). MÉTODO: Pesquisa qualitativa, de inspiração fenomenológica, e utilização do referencial da ACP como norteador do estudo. As informações foram coletadas por meio de grupo, em quatro encontros presenciais nos meses de maio e junho de 2022, utilizando-se dos instrumentos Versão de Sentido (VS's) e Entrevista Fenomenológica (EF), sendo as informações organizadas em Eixos de Sentido e compreendidas a partir das premissas da ACP em diálogo com estudos vinculados às temáticas emergidas. RESULTADOS E DISCUSSÃO: Os Eixos elaborados a partir das VS’s evidenciaram aspectos e tendências típicas do desenvolvimento de grupo fundamentado pela ACP; descreveram o grupo como espaço de acolhimento e liberdade experiencial, no qual se facilitou a expressão de vivências significativas relacionadas à gestação, parto e puerpério; apresentaram, ainda, o sentido de que a experiência grupal constituiu-se como promotora de trocas e apoio mútuo, de desenvolvimento e aprendizagens significativas. Os Eixos formulados com base na EF revelaram que as mulheres compreenderam a participação no grupo como uma experiência positiva, que propiciou cuidado aos aspectos emocionais, impulsionando autoconhecimento e desenvolvimento; e facilitadora de mudanças construtivas na vivência da maternidade. CONCLUSÃO: O estudo demonstrou a viabilidade de grupo centrado na assistência integral à saúde da mulher no período gravídico puerperal, e as convergências entre os princípios da ACP e os que orientam a prática na assistência do SUS.
Causal inference of Seoul bike sharing demand
Authors: Quan Yuan , Zhixin Yang , Yayuan Xiao
Published: May 2024

The global surge in environmental consciousness has significantly boosted the demand for rental bikes, particularly in metropolitan areas such as Seoul. This study delves into the causal relationships affecting this demand using a dataset from Seoul’s bike-sharing system. Unlike previous research focusing predominantly on predictive analytics, this work innovatively applies multiple linear regression models to uncover causal inferences, offering insights that extend beyond mere forecasting. The challenges addressed include dealing with non-linear relationships and heteroscedasticity by employing the logarithmic transformation of rental counts. This approach not only aids in normalizing the data but also enhances the interpretability of the regression outcomes, emphasizing the changes in demand as a function of various environmental and temporal variables. Recent developments in causal inference methodologies have allowed for more robust and detailed analysis, paving the way for this study’s contribution to the field. The findings underscore the significant influence of factors such as hour of the day, humidity, and seasonal changes on bike rental volumes, which can inform policy-making and operational strategies in urban transport planning.
Cathepsin D assay to verify the retention of lysosomal content v1
Authors: Y. Fasimoye Rotimi
Published: May 2024

Cathepsin D assay is a fluorescence-based assay that leverage on the activity of cathepsin D, a lysosomal enzyme, to monitor the intactness of lysosome in the cell. Here, we describe a method where we used the measurement of cathepsin D activity to verify the intactness of lysosomes that were isolated from HEK293 cells based on anti-TMEM192 Lyso-IP. Our data showed an increase in the cathepsin D activity of lysosomal fraction when compared with whole cell fraction and Mock-IP fraction, an indication that the lysosomes are intact and viable.
Colocalisation imaging of endogenous TMEM192 with lysosomal and mitochondria markers v1
Authors: Y. Fasimoye Rotimi
Published: May 2024

Immunofluorescent (IF) microscopy is a powerful tool used in cellular and molecular biology to monitor the subcellular localisation of proteins. By combining the advantages of immunostaining and confocal light microscope, IF microscopy can be used to assess the colocalization of two or more proteins within the cell. Here, we describe a method that can be used to verify the correct localisation of endogenously expressed TMEM192, by assessing their colocalization with LAMP1 (a lysosomal marker) and ATPB1 (a mitochondrial marker). Furthermore, our data showed that the anti-TMEM192 antibody is compatible for immunofluorescence assay.
Training Methods of Long-Distance Runners for 5-10 Km Competitions: A Bibliometric Analysis
Authors:   Universidade do Paraná, Sampaio Antonio Dayanne , Ledur Antes Danielle ,   Universidade do Oeste de Santa Catarina, Cviatkovski Aline ,   Universidade do Oeste de Santa Catarina, Corazza Sara Teresinha ,   Universidade Federal de Santa Maria, Laux Rafael Cunha ,   Universidade do Oeste de Santa Catarina
Published: May 2024

This study aimed to map the scientific production on training methods for 5 to 10 km long-distance running by means of a bibliometric analysis. PubMed, SciELO and Lilacs databases were used, and data were collected until December 31, 2019. The analysis included experimental studies with the intervention of training methods in runners. Data were analyzed descriptively. It was found that the first article was published in 1981 and 2018 was the year with the highest number of publications. The United States was the country with the highest number of publications, authors and journals. The most frequently cited methods were continuous execution and interval execution. Consequently, the main results were an increase in running economy, VO2max and a reduction in time trial.
Efecto del consumo de Physalis peruviana en la glucemia de adultos jóvenes con sobrepeso y obesidad
Authors:   Universidad Nacional de Trujillo, Ludeña-Meléndez Victor , Ishikawa-Arias Paula ,   Universidad Nacional de Trujillo, Gutiérrez-Guerrero Ana ,   Universidad Nacional de Trujillo, Guevara-Coronel Cristhian ,   Universidad Nacional de Trujillo, Laiza-Pajilla Danna ,   Universidad Nacional de Trujillo, Ledesma-Chavarria Leonardo ,   Universidad Nacional de Trujillo, Fustamante-Rafael Adrian Jamier ,   Universidad Nacional de Trujillo, Loyola-Ascate Estheysi Scarlett ,   Universidad Nacional de Trujillo, Reyes-Beltrán Maria Esther Daisy ,   Universidad Nacional de Trujillo
Published: May 2024

Introducción: Physalis peruviana, también conocida como aguaymanto, uchuva o golden berry, es una planta originaria de los Andes Peruanos a la que se le ha atribuido la capacidad de reducir la glucemia. Objetivo: evaluar el efecto del consumo de Physalis peruviana sobre la glucemia en adultos jóvenes años con sobrepeso u obesidad. Materiales y Métodos: estudio cuasiexperimental pre- y postest con una muestra de 28 adultos jóvenes entre 18-26 años divididos aleatoriamente en 2 grupos: control sin enmascaramiento y experimental. La edad promedio fue 21,6 años y el índice de masa corporal (IMC) 28,7. Se tomaron muestras de sangre en ayunas antes del estudio y semanalmente durante 21 días; paralelamente se administraron 50 g diarios de frutos enteros de P. peruviana al grupo experimental. Ambos grupos adoptaron una dieta hipoglúcida estandarizada y se realizó la evaluación de medias con la prueba t de Student. Resultados: en la medición basal no se hallaron diferencias significativas (p=0,563) en los niveles de glucemia entre los dos grupos. No se encontraron diferencias en el peso o el IMC en el transcurso de las tres semanas. Al final del estudio la glucemia disminuyó tanto en el grupo experimental como en el grupo control (12,5 y 16,1 mg/dL, respectivamente), sin diferencia significativa (p=0,141). Conclusiones: la inclusión del consumo de frutos enteros de P. peruviana no ejerció un mayor efecto hipoglucemiante al finalizar las tres semanas de tratamiento.
Bridging Learning Experiences In and Out of School: Students’ Views
Authors: Oller Judith , Engel Anna , Rochera Maria José
Published: May 2024

This article presents an exploratory study examining the importance that students attribute to pedagogical strategies focused on bridging learning in-and-out of school. The aim is twofold: to analyse students’ views of such strategies in different types of school (personalised learning -PL- and mirror schools), and to investigate whether different perceptions appear among three selected PL schools according to their degree of implementation of such strategies. We have administered the EPAE-A questionnaire to a sample of 3001 students (1481 from 5 PL schools, and 1520 from 5 mirror schools) to determine the value to these type of strategies for learning. The results indicate broad student agreement on the importance of connected learning strategies for learning and engagement in both groups. Moreover, our analysis reveals a certain relationship between the amount of pedagogical strategies aimed at promoting connections between in and out of school learning in the three selected cases and the perceived frequency reported in the questionnaire. In conclusion, our study highlights different elements to help teachers implement connected learning strategies in classrooms.
Journalistic Framing of Finnish Ice Hockey Club Jokerit in the Russian-Led Kontinental Hockey League
Authors: Särkivuori Joakim , Laine Antti
Published: May 2024

One of the major franchises in Finland’s top division in men’s ice hockey (Liiga), Jokerit Helsinki, sold its home arena and half of its shares to Finnish-Russian oligarchs in 2013. Jokerit also switched to the Russian-led Kontinental Hockey League (KHL) and competed there from 2014 to 2022. Russia’s KHL project and its expansion to the West can be viewed as a form of soft power. This study delves into the journalistic coverage of Jokerit during two specific periods: Its early days in the KHL and its later stages when exiting the league. These periods coincide with critical geopolitical events, such as Russia’s annexation of Crimea (2014), Belarusian protests (2020–2021), and Russia’s invasion of Ukraine (2022). Our data consists of Jokerit-related articles in the newspaper Helsingin Sanomat as well as interviews of the journalists who followed the team closely. We explore the critical socio-political coverage of Jokerit in Helsingin Sanomat during these periods and investigate whether the sports journalists recognized the broader geopolitical context of the KHL project and, if so, how this influenced their reporting. Utilizing the framing theory, we identified five frames under which to divide the articles: (a) sports events, (b) international relations, (c) power and governance, (d) business, and (e) unity. The sports event frame predominated during the early KHL era, whereas international relations and power and governance frames only emerged later. These shifts were not initiated by sports journalists but resulted from the efforts of journalists in other fields and increased the societal scrutiny of ties to Russia.
From Villain to Hero: The Role of Disengaged Terrorists in Social Reintegration Initiatives
Authors: Noor Haula
Published: May 2024

Convicted terrorists released from prison often experience social stigma, exclusion, and difficulties reintegrating into society. Authorities have identified the utility of using formerly convicted and released terrorists or disengaged terrorists as an intermediary to help and support terrorist inmates as they go through social reintegration processes. This article explores their role as an intermediary who advocates for fair treatment and rights for their fellow ex-inmates, assisting families and helping them undergo the reintegration process. This research involved interviews with members of three foundations: Yayasan Persadani, Hubbul Wathon Indonesia 19, and DeBintal. By analysing the narrative of the participants, this study found that social reintegration efforts led by disengaged terrorists fostered a sense of social belonging and connectedness among ex-inmates. In addition, these foundations offer valuable assistance to terrorist inmates while ensuring community safety. They serve as a reliable support system during times of need and act as a communication bridge between them and the government. This framework positions these foundations as integral components in addressing concerns about the effectiveness of government-led integration initiatives. The approach adopted by these foundations has positive effects on preventing the re-engagement of released inmates with extremist networks. Despite the need to measure the effectiveness of these initiatives comprehensively, efforts made by these foundations provide potential for societal resilience against terrorism.
Gender Sensitizing Parliaments: Reflections on Becoming a Feminist Academic Critical Actor
Authors: Childs Sarah
Published: May 2024

Informed by my secondment to the UK Parliament in 2015–2016, and the production and reception of The Good Parliament report—which offered a blueprint for a diversity-sensitive House of Commons—this article reflects on my experiences becoming a feminist academic critical actor. This new type of critical actor extends the conceptualization first developed by Childs and Krook (2006, 2008). A distinctiveness vis. Chappell and Mackay’s (2021) concept of the “feminist critical friend” is also drawn: In addition to researching institutional change and supporting others in their reform work, the feminist academic critical actor is essential to instigate and institute institutional change. In this, the feminist academic critical actor is engaged in quotidian persuasion work and is both the agent as well as the analyst of research, critically reflecting on the dynamics and actors of institutional status, change, and resistance, including their own acts, in situ and after. In making the case for the feminist academic critical actor, the academic is recognized as doing something different, begging important questions of responsibility and accountability, and the opportunities and costs of engaging in such acts, particularly for minoritized and/or precarious academics. In the latter part of the article, I sketch out some of the dilemmas located in the questioning of my authority and legitimacy, and concerning the harm that I faced as a relatively privileged aspirant feminist academic critical actor, acting to rework the highly masculinized institution that is the UK House of Commons.
Shocking Experience: How Politicians’ Issue Strategies Are Shaped by an External Shock During Campaigns
Authors: Farkas Xénia , Burai Krisztina , Bene Márton
Published: May 2024

In this article, we focus on how the issue strategies of political leaders are influenced by an external shock that completely changes the public agenda of the election campaign. The 2022 Hungarian parliamentary election campaign is a unique case to investigate this question, as Russia attacked Ukraine six weeks before the election day (April 3, 2022). The study aims to investigate whether the campaign’s issue strategies changed due to this shocking event, and if so, what are the main directions of the changes. The examination relies on a manual content analysis of Hungarian party leaders’ Facebook posts during the campaign, covering both the period before and after the outbreak of the war. First, based on the literature, we distinguish between different issue strategies such as issue ownership, issue stealing, “riding the wave,” and multi-issue and issue-poor strategies. We categorize political leaders’ issue strategies based on their issue focus before and after the external shock. Our results show that while war, economy, and foreign policy play a greater role in the communication of most political actors after February 24, there are remarkable differences between political actors. The communication of opposition party leaders seems to persist with their original issue strategies (issue-poor and multi-issue campaigns), while Viktor Orbán clearly changed his focus immediately after the invasion of Ukraine and ran a “riding the wave” campaign with a focus on war.
ON STYLISTIC DIFFERENTIATION IN UKRAINIAN POETIC SPEECH BASED ON THE SYNTACTIC STRUCTURE OF SENTENCES
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Darchuk Nataliia , Zuban Oksana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Sorokin Victor ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: May 2024

Background. The article is devoted to the stylistic differentiation of syntactic structures of Ukrainian-language poetic texts of the Ukrainian language corpus. The goal is to study the idiostyle on models of syntactic structures, graphically presented in the form of dependency trees, with the establishment of parameters for characterizing the author's style. The properties of the linear structure of 7,752 Ukrainian-language sentences in the verse style were studied. An "averaged" dependency graph was built for each author as a generalization of the syntactic parameters of dependency trees. Methods. Applied methods of structural linguistics included quantitative methods and modeling methods, distributive analysis, direct component method, method of constructing dependency trees (DT) and direct components in linguistic analysis modules: automatic morphological (distributive) and automatic syntactic (direct component and dependency tree method). Results. As a result of the study, it was established that the architecture of the phrase is important, that is, a scheme in the form of a graph that reflects the real sequence of syntactic elements of the statement. If the author has developed his individual writing style, this will inevitably affect the originality of the graphic drawings for the structures of his typical phrases. It is in syntactic stylistics that dependence graphs as a research method will find an unlimited field of application. Eight graph parameters are proposed, the choice of which is determined by the fact that they have stylistic distinguishing power. Conclusions. To justify the applied method of statistical analysis, it can be said that in stylistics each analysis gives only what it can give; the overall research picture consists of a comprehensive review of the results of all analyses. Qualitative methods can describe what is perceived from the text through its symbolic character, but only quantitative methods can explain why the text is constructed in the way it is. Qualitative characteristics consist of precisely those quantitative characteristics that cannot be seen by the average reader, and their detection is the task of science.
PROFESSIONALIZATION OF THE TEACHING OF LINGUISTIC DISCIPLINES IN THE TRAINING SYSTEM OF FUTURE TEACHERS OF UKRAINIAN LANGUAGE AND LITERATURE (HIGHER EDUCATION LEVEL (MASTER'S)
Authors:   PHEE ", Medynska Natalia ,   Academician Stepan Demianchuk International University of Economics and Humanities", Grytsenko Svitlana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: May 2024

Background. Today, the Ukrainian language plays a special role in the formation of future teachers, both as individuals and as professionals. Therefore, it is still relevant to substantiate the functioning in the linguistic didactic discourse and to reveal the features of the content and structure of the concept of "professionalization of the teaching of linguistic cycle disciplines", to outline the conditions for the introduction of this concept into the educational space of institutions at the second level of higher education in Ukraine. The purpose of scientific research is to conduct a study of the essence and content of the concept of "professionalization" and to justify the functioning of the term "professionalization of teaching linguistic cycle disciplines" as a necessary factor in the formation of professional competence of graduate students in the process of implementing a professionally oriented approach to education. Methods. The authors used the analysis of scientific sources on the researched problem, synthesis, modeling of educational and educational situations, and generalization. Results. The article provides a definitive analysis of the concept "professionalization of the future teacher's personality", which led to the justification of the term "professionalization of teaching the linguistic cycle disciplines" as a necessary factor in the formation of the graduate students' professional competence in the process of implementing a professionally oriented approach to education. The essence of the defined concept is determined, its content and structural features are characterized, and the relationship with related concepts and terms is characterized. The psychological-pedagogical conditions under which the professionalization of the teaching of linguistic cycle disciplines will be successful are highlighted, among them the main ones are the interconnected implementation of approaches to learning; development of sustainable motivation to study linguistic disciplines; creation of a professionally oriented educational environment at the faculty and in the group; integration of project, research, communication activities in the learning process. Conclusions. The professionalization of the future teacher's personality is one of the directions of the reform of higher education in Ukraine, and the professionalization of the teaching of certain subjects, in particular the linguistic cycle, is an integral part of this process, the result of which should be the formation of the professional competence of masters in pedagogical specialties.
METHODOLOGICAL APPROACHES FOR DETERMINATION AND ASSESSING THE RESOURCE POTENTIAL OF CRITICAL RAW MATERIALS IN UKRAINE
Authors:   State Commission of Ukraine on Mineral Resources, Kyiv, Ukraine, LYTVYNIUK Stanislav , BARIATSKA Natalia ,   Softmine LLC, Kyiv, Ukraine
Published: May 2024

Industrial and technological interest in critical (strategic) mineral raw materials, given their natural scarcity, is of key importance in the global economy. A country's (or region's) supply of raw materials is a factor of economic security, autonomy and an insurance against global crises. Global and regional analytical researches on the mineral resource assessment in the context of circular and resource efficient (low-carbon) economy development have revealed a number of problematic issues related to different methodological approaches to the assessment, classification, accounting and management of critical mineral raw materials (CRM). The standardization of such approaches for economically related regions is the way to create reliable critical mineral raw material supply chains and ensure sustainable economic development. In order to complete the outlined tasks, a wide range of studies has been used, including general scientific and special methods of scientific and applied research. In addition to general theoretical methods of analysis, statistics and systematization, a complex of methods of geological and technical-economic study of mineral raw materials has been used to achieve the set goal and complete specified tasks. Authors have attempted to define the concept of critical mineral raw materials by using basic criteria and methodical approaches of the United Nations Framework Classification (UNFC). Various classification systems used for the assessment and management of critical mineral raw materials have been considered. Practical experience of the UNFC application during the assessment of CRM resource potential in Ukraine (excluding hydrocarbons and groundwater) based on the list of the European Union has been presented. Considering the current state of the mineral raw material resource base of Ukraine, authors have suggested methodological tools for bringing the State Balance into compliance with the integrated systematic accounting in accordance with the UNFC. The analysis of the State Balance of Ukraine using the UNFC approaches has revealed primary prospects for the mineral and raw material base development, which are related to potential and perspective projects on 22 elements from the EU list of critical mineral raw materials. Ukraine possesses all the prerequisites to participate in European Union programs designed to create sustainable models of supply chains for various resources for the transition to closed-cycle zero waste consumption.
STUDY ON EXOGENOUS PROCESSES ALONG THE WESTERN COAST OF THE CRIMEAN PENINSULA USING DEEP LEARNING METHODS
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, OKHRIMCHUK Roman , DEMIDOV Vsevolod ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, SLIUSAR Kateryna ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, LUKOMSKYI Vladyslav ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: May 2024

Background. Monitoring changes in coastline contours is an actual topic in the field of environmental, geological and information research. However, tasks of this kind are complex and require using modern methods of data processing and analysis, including Earth remote sensing data. One of the modern approaches to solving this class of problems is using machine learning methods, which is the focus of the research in this article. The object of the authors' research is the western coast of the Crimean Peninsula, the study of which by traditional methods has become impossible due to the temporary occupation of the Crimean Peninsula since 2014. In the last decade, the Crimean coastline could have undergone significant changes as a result of anthropogenic activities (including those related to military operations) and landslide-abrasive processes. In this study, the authors limit the study to changes in the coastline of the western part of the Crimean Peninsula over the last decade. Methods. Authors used CNN models (U-Net model) to effectively recognize the coastline and its boundaries in satellite images without the need for manual vectorization. Results. The research involved developing Python code to automatically generate reports including network accuracy (0.95) and loss function (0.19), facilitating the evaluation of different approaches and methods. Additionally, the study created scripts for using the trained network in the task of semantic segmentation and translating the result of the segmentation model into a vectorized result of the coastline contours of the Crimean Peninsula, which was represented as a probability raster. Conclusions. The use of this approach is useful for monitoring changes in the coastline of rivers, seas and lakes throughout Ukraine.
The Using of the Diagnostic Tool “Communication Matrix” in Working with a Child with Severe Multiple Form of Autism
Authors: Vetrova M.A. , Vetrov A.O. , Migachev A.S.
Published: May 2024

Objectives. At the moment, there are extremely insufficient diagnostic tools suitable for examining the communicative sphere of children with severe complicated forms of autism, and recorded practical experience of their use in organizing psychological and pedagogical support for such children. The purpose of the study is to test the diagnostic tool “Communication Matrix” in working with a child of primary school age with a severe complicated form of autism (autism spectrum disorder (ASD), moderate intellectual disability, systemic speech under-development, visual impairment, atopic dermatitis), who was learning the skills of communication using the PECS image exchange communication system.

Methods. Diagnostic tool “Communication Matrix”. Data collection was carried out through observation of the child in free and educational activities for one year, and conversation with parents. The study is presented by three diagnostic sections and their analysis.

Results. At the stage of primary diagnosis, the child’s communicative characteristics were described and comments were given regarding the possibilities of taking them into account using the technique. Formed, partially formed and unformed communication skills of a child at the level of unintentional and intentional behavior, non-standard and standard communication, concrete and abstract symbols and language are identified. The objectives of correctional and developmental work are formulated based on a list of communication skills that are in the process of formation. The tasks were included in a special individual child development program and were implemented during the school day by a team of specialists, then reinforced at home with the participation of a private teacher and family members. At the final diagnostic stage, positive dynamics were noted in the development of communication at all levels. After a break (summer holidays), a regression of some skills was noted at the level of unintentional and intentional behavior, standard communication and specific symbols. 

Conclusion. The “Communication Matrix” tool made it possible to conduct an initial diagnosis of the communication sphere of a child with a severe complicated form of autism and determine the tasks of correctional and developmental work. With the help of the instrument, changes in the child’s communicative sphere were recorded during continuous correctional and developmental education and during a break from it. Also, during the work, the advantages and limitations of the technique in relation to a specific diagnostic case were highlighted.
Impact of perioperative high-protein nutritional support on postoperative outcomes in the treatment of primary lung cancer: Russian prospective multicenter comparative study (NUTRILUNC-study)
Authors: Obukhova Olga A. , Kurmukov Ildar A. , Egofarov Nail M. , Kolesnichenko Mariya G. , Kirillov Yuriy V. , Povaga Svetlana S. , Belyaeva Natal’ya A. , Gordeeva Ekaterina V. , Perminov Yuriy V. , Skorokhod Andrey A. , Nefedov Andrey O. , Novitsky Dmitriy N. , Egofarov Timur N.
Published: May 2024

BACKGROUND: Up to 60% of lung cancer pts experience weight loss. Prevalence of sarcopenia in patients (pts) with non-small cell lung cancer (NSCLC) is about 43% and is an independent predictor of worse overall survival. It was shown that nutritional support improves outcomes in pts with cancer.
AIM: To evaluate impact of perioperative nutritional support on surgical treatment outcomes of patients with NSCLC.
MATERIALS AND METHODS: Patients with primary NSCLC (n=112, 69 males), aged 57,2±8,2, awaiting lung surgery and being at risk of malnutrition (Nutritional Risk Screening Assessment 2002 score ≥3) were randomized into 2 groups. Study group (n=55) received oral nutritional support (Nutridrink Compact Protein, Nutricia LLC), 250 ml/d (36 g of protein, 612 kcal) for 14 d before and 14 d after surgery in addition to standard diet. Control group (n=57) had a standard diet. The number of respiratory complications after surgery, length of hospitalization, anthropometric, functional, laboratory parameters, quality of life (according to Quality of Life Questionnaire Core-30) were assessed. Results were presented as mean ± standard deviation. Differences were considered significant at p ≤0.05.
RESULTS: In the study group there were fewer respiratory complications (p 0.01), and a shorter length of hospitalization (p=0.03). Body weight in the study group did not change significantly, while in the control group it decreased (0.15±3.7 kg versus loss of 3.47±3.6 kg). Results of six-minute walk test and hand grip dynamometry were higher in the study group then in the control group (411.8±56.0 m versus 383.2±52.1 m; 33.5±8.4 kg versus 27.1±6.8 kg). Quality of life was better in the study group, p 0.05. The total protein and albumin levels were higher in the study group (70.9±5.6 g/l versus 63.1±4.0 g/l; 38.5±5.8 g/l versus 33.2±3.0 g/l). One patient in study group experienced 1st grade diarrhea.
CONCLUSION: In patients with NSCLC at risk of malnutrition perioperative nutritional support with high protein oral nutritional support has a positive effect on surgical treatment outcomes.
A novel RCACycleGAN model is proposed for the high-precision reconstruction of sparse TFM images
Authors: Liu Zhouteng , Li Liming , Zhu Wenfa , Xiang Yanxun , Fan Guopeng , Zhang Hui
Published: May 2024

The sparse total focusing method (TFM) has been shown to enhance the computational efficacy of ultrasound imaging but the image quality of ultrasound regrettably deteriorates with an increase in the sparsity rate of array elements. Deep learning has made remarkable advancements in image
processing and cycle-consistent generative adversarial networks (CycleGANs) have been extensively employed to reconstruct diverse image categories. However, due to the incomplete extraction of image feature information by the generator and discriminator in a CycleGAN, high-quality sparse TFM
images cannot be directly reconstructed using CycleGANs. There is also a risk of losing crucial feature information related to minor defects. As a result, this paper modifies the generator and discriminator in the CycleGAN to construct a new relativistic discriminator and coordinate attention
CycleGAN (RCACycleGAN) model, which enables high-precision reconstruction of sparse TFM images. The addition of the coordinate attention module to the CycleGAN enhances the defective feature representation by fully considering the channel and spatial correlation between regions and using the
fusion of spatially perceived feature maps in different directions. It solves the problem of easy loss of defective key feature information. The relativistic discriminator replaces the PatchGAN discriminator in the CycleGAN and evaluates the quality of both real and sparse TFM reconstructed
images to ensure a relative image quality evaluation. This process solves the problem of unstable image quality of the sparse TFM reconstructed image. Experimental results demonstrate that RCACycleGAN can stably reconstruct sparse TFM images even in small sample dataset scenarios. The proposed
network model reconstructs images with better accuracy, including in terms of structural similarity, defect roundness and area, and has a shorter training time than several existing network models.
Bolt loosening monitoring with passive wireless-based smart washers
Authors: Yuqi Tang , Keke Guo , Chonglin Zhao , Wenlian Wang
Published: May 2024

Ensuring sufficient preload of bolted connections is crucial for maintaining the safety of railway operations. Accidents resulting from loose bolts caused by inadequate preload are a recurring concern. Traditional bolt preload detection methods suffer from reliability issues and bulky
equipment requirements. To address these challenges, this study proposes a novel solution utilising passive wireless measurement systems. However, the communication effectiveness of these systems can be significantly impacted by the surrounding metal environment. This research introduces an
intelligent clover washer design to mitigate the adverse effects of eddy currents induced by the metal environment. The design incorporates a new clover antenna and washer structure, effectively reducing the influence of the metal environment and improving the communication quality. The proposed
design has undergone comprehensive prototyping, simulation and experimental verification. The results demonstrate a significant improvement over the traditional circular antenna and washer combination under similar conditions. Specifically, the sensing distance of the new clover washer is
enhanced by 60% and the stable communication distance is improved by 75%. The experimental results highlight the ability of the new clover smart washer to generate a stronger spatial magnetic field and exhibit reduced susceptibility to the metal washer, thereby enhancing communication effectiveness.
Sample entropy-based quantitative assessment of the arc magnetic field spectrum for improved arc welding quality
Authors: Zhong Senming , Yao Ping , Huang Yunyi , Wang Xiaojun , Luo Jianbin , Liang Shunjian
Published: May 2024

Arc magnetic field analysis is a valuable approach for assessing the stability of the arc welding process, yet existing methods lack the ability to effectively quantify the disorder within the process. Through an investigation into the characteristics of the arc magnetic field signal,
it was observed that the occurrence of low-frequency random fluctuations in arc magnetic field power, induced by unstable factors such as bubbles or short circuits, contributed to increased complexity and randomness in the arc magnetic field signals. To visualise the arc magnetic field signals
in a time-frequency domain, a spectrogram was employed, revealing a strong correlation between the distribution of maximum power spectral density (PSD) in the spectrogram and the stability of the arc welding process. Furthermore, a novel method based on sample entropy was introduced to provide
a quantitative measure of this relationship. A comprehensive quantitative assessment indicator called arc magnetic field sample entropy (AMFSE) was proposed. This indicator effectively mitigates the influence of varying parameters on the quantitative results, enabling a more accurate and consistent
representation of the stability of the arc welding process. The proposed method was validated through testing, yielding an accuracy rate exceeding 90%.
Resolving data imbalance in alkaline battery defect detection: a voting-based deep learning approach
Authors: Xu Zhenying , Han Bangguo , Han Liling , Tao Yucheng , Wang Yun , Lei Ying-Jun
Published: May 2024

Alkaline battery defect detection is crucial for ensuring product quality and providing diagnostic feedback. Recently, high-performance deep learning algorithms have been introduced to recognise defects in alkaline batteries. However, the majority of deep learning-based methods overlook
the significant data imbalance issues in alkaline battery electrode images, potentially resulting in performance degradation. Therefore, a voting-based recognition algorithm containing three parts is proposed in this study. Firstly, a resampling and training method is developed to provide
richer information and stronger constraints. Secondly, a weak classification framework based on an improved convolutional neural network (CNN) is designed to provide fine-grained category representations. Finally, a voting-based prediction approach is proposed to improve accuracy and obtain
the final results. Visualisation results demonstrate that the proposed algorithm has a stronger clustering ability and uses voting-based prediction to improve performance. Comparison research shows that the proposed method significantly improves the recall of minority classes and the precision
of majority classes and reaches a state-of-the-art F1 score of 0.982 for alkaline battery defect recognition, which is 0.041 higher than the basic CNN model.
Exposure Experiences of Area Residents Near a Chronic Environmental Contamination Site
Authors: Burcham Sara , Saul Daniella , Nolan Rachael D. , Pinney Susan M.
Published: May 2024

Background: The study aims to analyze and interpret the exposure experiences of local residents living within 5 miles of the Fernald Feed Materials Production Center, a former uranium processing site. The goal is to enhance public health efforts addressing psychological stress resulting from environmental exposure.
Methods: Semi-structured interviews were conducted from July 1998 to February 2001 as part of the Fernald Living History Project. The study focuses on 4 key phenomenological events: air releases of uranium by-products, Ohio Environmental Protection Agency public notifications of water contamination, a citizens' class action lawsuit against the US Department of Energy and National Lead of Ohio, Inc, and extensive media coverage. Researchers used descriptive inductive coding to analyze data from these events, involving 34 participants.
Results: The study identified 5 central themes in the residents' exposure experiences: disruptions to life, loss of trust, seeking answers, interpreting ambiguous threats, and adaptive responses. Participants recounted how these events affected their lives and triggered emotional responses.
Conclusion: This research provides valuable insights into the experiences of individuals living near environmentally contaminated sites and offers guidance for future prevention and mitigation strategies.
Attitude and Attitudinal Structures Toward Physical Education and Their Influences on Physical Activity Behavior
Authors: Wang Yubing , Han Yaogang , Li Pan , Zhang Binn
Published: May 2024

Objectives: The purpose of this study was to examine middle and high school students’ cognitive
and affective attitude and their cognitive-affective attitudinal structures toward physical education (PE). The effects of
cognitive and affective attitude and attitudinal structures on physical activity (PA) in PE and outside of school were also
examined. Methods: 1773 Chinese middle and high-school students participated in this study.
SEM, Chi-square test, ANOVAs, and Contingency tables were adopted to address the research questions. Results: The
results showed that most students (>90%) were holding positive cognitive and affective attitude toward PE. Students’
affective attitude significantly influences their PA in PE and outside of school. Most students were holding the positive
cognitive-positive negative attitudinal structure toward PE. Conclusions: All these findings lay important foundations
for future theoretical advancement about attitude toward PE and provide guidance for PE teachers on attitude intervention
and PA promotion.
Pharmacokinetics and Safety of Bilastine 10 mg/d in Children Aged 2 to 5 Years With Allergic Rhinoconjunctivitis or Urticaria: A Phase 3 Clinical Trial
Authors:   BILA-4021/PED Research Group, Majorek-Olechowska B , Slomskis T , Zollerová L , Martín I , Sánchez C , Gilaberte I , Arranz P
Published: May 2024

Background: Bilastine is a second-generation antihistamine for the symptomatic treatment of allergic rhinoconjunctivitis (ARC) and urticaria in adults, adolescents, and children. The pharmacokinetics and safety of oral bilastine 10 mg/d in children aged 2 to 5 years were evaluated. Methods: This was a multicenter, open-label clinical trial in children aged 2 to 5 years with seasonal or perennial ARC or urticaria treated once daily with bilastine 10 mg orodispersible tablets. The safety evaluation included treatment-emergent adverse events (TEAEs), vital signs, and physical examination. Pharmacokinetic data were pooled with data from a prior pediatric study, and pharmacokinetic modeling was performed to assess consistency. Results: A total of 37 children with ARC (81.1%), urticaria (8.1%), or both (10.8%) were included in the study, with a mean (SD) age of 3.7 (1.2) years. The highest plasma concentrations of bilastine were observed 1 hour after administration (634.91 ng/mL). Eight patients (21.6%) experienced 1 TEAE each, none of which was severe. Body weight and age were not covariates of variation in either systemic clearance or the volume of distribution in children aged 2 to 5 years and did not affect the pharmacokinetic parameters of bilastine. Conclusions: The pharmacokinetics of bilastine was linear and consistent with data from a previous trial, suggesting that a 10-mg dose may be used in children (2 to <12 years). No dose adjustments are deemed necessary. Oral once-daily bilastine 10 mg presented a good safety profile in children aged 2 to 5.
Important antiviral properties of Streptomyces species compounds
Authors: Kumar Ratnesh , Kumar Maneesh , Kumar Suman , Jha Mithilesh Kumar , Tiwari Shashank Nand , Gupta Pratima
Published: May 2024

species, a subgroup of Actinomycetes bacteria, have been analysed for their antiviral properties. These bioactive secondary metabolites, which have a broad spectrum of chemical structures and strong biological activity, offer a promising opportunity for new antiviral therapeutics against various viral infections. These metabolites target different stages of viral replication or interactions with host cells, making them important for biological research and pharmaceutical development. bacteria contain numerous antiviral mechanisms that inhibit viral infections at different stages of the viral life cycle. and other actinomycetes can improve the health of people with viruses, and recent research suggests that combining with other bacterial species could improve overall health and regulate infections. This emphasises the importance of comprehensive approaches to combating viral infections and research into natural products. Further research into multispecies combinations of and other bacterial species is needed to fully utilise their therapeutic potential against viral diseases.