bluuebunny/crossref_metadata_2025 huggingface dataset:
Biological products for the control of Pratylenchus brachyurus in maize crops
Authors: Favoretto Marcio , Calandrelli Angélica , Gomes Simone de Melo Santana , Arieira Cláudia Regina Dias
Published: April 2024

This study aimed to evaluate the effect of seed treatment with biological nematicides on the control of Pratylenchus brachyurus population in maize and crop yield. For this, a greenhouse experiment and a field experiment on clay soil were conducted in Juranda, Paraná State, Brazil. In both experiments, seeds of the maize hybrid K9310 VIP3 were subjected to the following treatments: untreated control, abamectin (Avicta® 500 FS), Bacillus subtilis + B. methylotrophicus (Rizos® + Onix®), B. amyloliquefaciens + Trichoderma harzianum (NemaControl® + StimuControl®), and Pochonia chlamydosporia (Rizotec®). In a greenhouse, seeds were sown in pots containing 950 cm3 of autoclaved substrate. Five days after emergence, each seedling was inoculated with 500 individuals of P. brachyurus. After 75 days, the plants were evaluated for nematode and vegetative variables. Prior to the field experiment, samples of soil and the crop preceding maize were collected for an initial characterization of nematode populations in the area. At 60 days after sowing, plants were evaluated for nematode reproduction. Crop yield was assessed at 150 days after sowing. All biological treatments reduced P. brachyurus in maize roots under greenhouse conditions, with the combination of B. amyloliquefaciens and T. harzianum providing the best results. Additionally, nematode variables were negatively correlated with plant height. Under field conditions, there was a negative correlation between P. brachyurus and crop yield, and biological treatments led to a mean increase of 6 bags ha−1 in maize yield compared with the control.
Распространение фронта ветвящегося случайного блуждания с периодическими источниками ветвления
Authors: Bulinskaya Ekaterina Vladimirovna
Published: April 2024

Рассматривается модель ветвящегося случайного блуждания по целочисленной решетке $\mathbb{Z}^d$ с периодическими источниками размножения и гибели частиц. Предполагается, что режим ветвления надкритический, а для распределения скачка блуждания выполнено условие Крамера. Установлена теорема о скорости распространения фронта популяции частиц по решетке при неограниченном росте времени. Доказательства основаны на фундаментальных результатах, относящихся к пространственному распространению общего ветвящегося случайного блуждания.
Укрупнение состояний ветвящегося случайного блуждания по многомерной решетке
Authors: Popov Grigorii Aleksandrovich , Yarovaya Elena Borisovna
Published: April 2024

Рассматривается случайное блуждание по многомерной решетке с непрерывным временем, которое лежит в основе ветвящегося случайного блуждания с бесконечным числом фазовых состояний. Случайное блуждание со счетным числом состояний, по которым происходит блуждание, за счет их объединения может быть сведено к системе с конечным числом состояний. Изучается асимптотическое поведение времени пребывания преобразованной системы в каждом из конечных состояний в зависимости от размерности решетки в предположении конечной дисперсии и при условии, приводящем к бесконечной дисперсии скачков исходной системы. Показано, что укрупнение состояний в рамках описанного процесса вызывает потерю марковского свойства.
Research on Educational Evaluation Paths under the Perspective of Game-based Learning
Authors: Zhang Ying , Deng Peng
Published: April 2024

Game-based learning, as an innovative educational trend, integrates game design elements into the learning environment to enhance learner engagement and motivation. However, traditional educational evaluation systems have not fully adapted to this mode, necessitating the exploration of more suitable evaluation approaches. This study aims to investigate the educational evaluation paths within the context of game-based learning. The current status of educational evaluation in game-based learning is analyzed, revealing inadequacies in student engagement, motivation stimulation, and knowledge and skill assessment. Combining the ideal vision, the study proposes the use of multidimensional assessment methods, such as behavioral observation, outcome feedback, and player mindset evaluation, along with the incorporation of PBL (Problem-Based Learning) model in educational evaluation. It also emphasizes the role transformation of educators in game-based learning environments, advocating for personalized learning paths and immediate feedback mechanisms. This research systematically explores educational evaluation in game-based learning, proposing innovative methods and practical paths. The findings not only aid in enhancing the educational effectiveness of game-based learning but also provide theoretical support and practical guidance for the innovation of educational evaluation systems. This is expected to play a significant role in promoting comprehensive student development and improving educational quality.
Corporate Financing Constraints, Working Capital Management, and Corporate Investment—An Analysis Based on Manufacturing Industry Data of A-share Listed Companie
Authors: Jin Zhihao
Published: April 2024

The paper selects 11 years of data from A-share listed companies in China from 2001 to 2021 as the research sample, with a focus on the manufacturing industry. The aim is to analyze the relationship between financing constraints, working capital management, and corporate innovation activities, intending to explain the reasons for the continuous increase in innovation activities by Chinese companies from the end of the last century to the present. Due to the high adjustment costs and unstable financing sources restricting corporate innovation activities, this paper particularly examines the role of working capital in alleviating innovation constraints. The research reveals that working capital plays a significant role in buffering fluctuations in corporate innovation investments, and this effect is closely related to the degree of financing constraints faced by the companies.
The Impact of Digital Transformation on Corporate ESG - Evidence Based on Chinese A-share Listed Companies
Authors: Li Xingyue
Published: April 2024

With the gradual development of the digital economy, improving ESG performance through digital transformation has become a new focus for enterprises. This paper focuses on the impact of enterprise digital transformation on ESG performance. Based on the panel data of China's A-share listed companies from 2013 to 2022, this paper empirically examines the impact of digital transformation on ESG performance by using A two-way fixed-effect model and adding time-fixed effects and individual-fixed effects. The study found that digital transformation can help improve ESG performance. Heterogeneity analysis show that the development of digital finance can significantly promote the development of enterprises in the eastern and central regions, while the impact on enterprises in the western region is not obvious. From the perspective of enterprise ownership, digital finance has a more significant improvement in the ESG performance of non-state-owned enterprises. This paper has the policy and practical significance for Chinese enterprises to carry out green transformation and realize the goal of "dual carbon" under the background of the digital economy. Companies can apply environmental protection, social responsibility, and corporate governance considerations to their operations by increasing investment in technology research and development.
Differences in the effects of carbon prices and scale effects on carbon assets:Evidence from hydrogen power carbon trading in China
Authors: He Xinao
Published: April 2024

Hydrogen energy has significant advantages in pursuing carbon neutrality goals. However, there is uncertainty about its economic value. In view of this problem, this paper discusses the hydrogen energy carbon asset valuation method, identifies the key influencing factors, analyzes their impact on carbon assets, and proposes a carbon asset valuation method based on the market method. We analyze the sensitivity of carbon asset value to hydrogen energy using Monte Carlo simulation, which compares the uncertain impact of various combinations of factors and incorporates time variation into the study factors. The results show that: (1) Hydrogen energy has a high carbon asset value; (2) Among the multiple factors considered, energy capacity has the most significant impact on hydrogen energy and carbon assets; (3) Carbon assets of hydrogen energy are determined by factors such as carbon emission reduction capacity, energy level and carbon price.
High-performance coal-based hard carbons for sodium-ion storage enabled by Joule-heated rapid pyrolysis
Authors: Gong Xuelei , Liu Yongxu , Han Junwei , Zhi Linjie
Published: April 2024

Hard carbon materials are potentially used in sodium-ion battery anodes, yet their structure is complex and not easy to control. In this paper, a Joule-heated rapid pyrolysis is proposed for the preparation of hard carbon. The selected highly volatile bituminous coal-based hard carbon is affected by the Joule-heated explosion, where a large number of volatile components are instantly released, which reorganizes the microstructure of hard carbon, increases the layer spacing of carbon microcrystals, and obtains an expanded structure. This coal-based hard carbon exhibits high sodium ion storage capacity (274 mAh g-1), high ICE (80%), and remarkable cycling stability with 80% capacity retention for more than 1000 cycles. In addition, the coal-based hard carbon anode showed good capacity retention (40%) at an extremely low temperature (-40°C).
The Association between Statin Medication Use and Intracranial Aneurysm Risk: A Two- Way Mendelian Randomization Study
Authors: Hao Shengjie , Wu Peirun , Luo Zeyu , Xue Zhiyuan , Wang Mengrui , Wang Bingjie , Wang Shiyu , Cao Jiaqi
Published: April 2024

Recent observational studies have identifi ed a potential link between statin medication use and the risk of intracranial aneurysms (IAs). However, the causal relationship between these factors is not yet clear.Methods:We used a two-way Mendelian randomization approach to examine the relationship between genetically predicted statin medication use and the risk of IAs, as well as the reverse association. We incorporated data from genome-wide association studies of statin medication and IAs in a European population. Our analysis relied on random-effects inverse variance weighted estimation as the primary statistical method.Results:Neither statin medication use nor IA risk was signifi cantly associated with the other, according to ourfindings. The odds ratio (OR) for statin medication was 1.551 (95% confi dence interval [CI]: 0.895–2.685,P = 0.117), and the OR for IA risk was 1.020 (95% CI: 0.984–1.059, P = 0.281). Our results were consistent across different analytical methods, including MR-Egger regression and weighted median.Conclusions:These fi ndings suggest that there is no causal relationship between statin medication use and IA risk.
How Does the Resilience of Semiconductor Supply Chain Affected by Major Power Competition ?
Authors: Cao Shiping , Yu Le , Wang Jian
Published: April 2024

In the era of great power competition, Sino-US trade friction has become increasingly tense, especially in the high-tech industries represented by the semiconductor industry, which has created fierce competition. This study focuses on the risk of semiconductor supply chain interruption in the context of competition between major powers. Taking the Sino-US trade friction incident that began in 2018 as the research background and the semiconductor supply chain resilience as the research object, we construct an evaluation index system for the resilience of China's semiconductor industry chain and a score-matched difference-in-difference (PSM-DID) event impact assessment model uses Stata16.0 to process and calculate a total of 2424 samples from 2017 to 2022. Evaluate the impact of international uncertain events on the resilience of China's semiconductor supply chain through empirical analysis. The research results show that international uncertain events may have an adverse impact on the resilience level of enterprises related to China's semiconductor industry. Enterprises of different sizes have different impacts on the resilience of international uncertain events. The impact of international uncertain events on enterprise resilience There may be a certain lag in adverse effects. The research results help to correctly assess the impact of trade friction on the supply chain resilience of my country's semiconductor industry, and provide scientific support for the formulation of policies related to the semiconductor supply chain and the governance of multiple entities.
Simulation and Analysis of Shear Properties of Loess and Concrete Structures Based on the Discrete Element Method
Authors: Ma Yongjiang , Sun Wen , Lin Mengkai
Published: April 2024

To address the issue of shear damage at the interface of loess and concrete structures, we utilized the discrete element method (DEM) to simulate a straight shear test at the interface. By analyzing the distribution of contact force between particles and the evolution law, we were able to determine the shear characteristics of the contact surface and explore the formation of the shear zone.The test results indicate that the established discrete element contact model simulation results are generally consistent with the indoor test results after calibrating the contact model parameters through the test. The simulation of the contact surface test using discrete element analysis shows strain softening during the shear process. The shear stress-shear displacement curve is consistent with the test results. Additionally, the intergranular contact force and number of contacts increase with normal stress. Near the contact surface of the structure, the intergranular contact force gradually increases during the shear process, resulting in a region of relative stress concentration known as the shear zone.The feasibility of establishing a discrete element model of the contact structure was further verified by simulating and analyzing the direct shear test on the contact surface of loess and concrete structure. The model parameters were calibrated to provide a basis for analyzing the soil-structure interaction.
Design and research of a new type of electromagnetic vacuum circuit breaker
Authors: Xu Lili , Yu Yuting , Chen Chunmian
Published: April 2024

The vacuum circuit breaker is the main switch of electric locomotive, controlling the on and off of the main circuit of electric locomotive. Existing vacuum circuit breaker of electric locomotives generally the air-driven, electromagnetic retention, this vacuum circuit breaker structure is simple and stable performance is high, but large mass, high air tightness requirements, the shortcomings of the noise. The design of this design according to the actual situation of electric locomotives, the design of a vacuum circuit breaker does not require compressed air drive, electronic control of mechanical manipulation mode of the circuit breaker, the new vacuum circuit breaker using electromagnet drive device to realize the vacuum circuit breaker opening and closing operation, while increasing the energy storage device for the vacuum circuit breaker closing operation to provide the necessary energy. This new type of electromagnetic vacuum circuit breaker has the characteristics of small size, simple structure, low cost and high reliability performance.
Research on session recommendation system based on graph neural network
Authors: Wang Yan , Yu Wei , Niu Lianqiang
Published: April 2024

before the graph neural network session recommendation system in order to ensure that the model can not smooth, and ignore the project long distance dependence, and most of the recommended method ignore the project sequence relationship, usually the session in the last project as the user's final interest, and lead to the session understanding is not comprehensive. In view of the above problems, this paper proposes a graph neural network recommendation method with sequence network. The main idea of this method is to regard the session as a graph structure, in which the nodes represent the items that the user interacts with, and the edges represent the interaction between the user and these items, such as click, purchase, etc. Then, the graph neural network can learn the embedding vector of each behavior in the graph. Comparing these behavioral vectors with the corresponding item vectors shows the user's interest in different items in the current session, and a self-attention mechanism is introduced into the graph neural network to distinguish long-distance dependencies in the learning sessions without oversmoothing. The sequence network can then be used to introduce bidirectional gating recurrent units and soft attention mechanisms when the vector representation of the item is fused into the vector representation of the session. In addition, combining contrast learning techniques to improve the expression of long tail items and indirectly improve the effect of the session recommendation model. The experimental results show that the recommendation algorithm of adding sequence network can reduce the complexity and improve the performance.
Research on Development Pathway of New Energy Supply and Consumption System in China
Authors: Feng Junshu , Zhang Fuqiang , Tian Xu , Liu Liantao , Liu Fei , Peng Fei
Published: April 2024

China has put forward the concept of "new energy supply and consumption system". In the overall carbon peak and carbon neutral goals, wind energy and solar energy will become main energy in China, it is necessary to study how to build a good new energy supply and consumption system. In this paper, we give a broad understanding and propose three modes of new energy supply and consumption system. Then, a regional power planning quantitative analysis is carried out which considering constraint of carbon emission, and installed capacity of new energy power generation is predicted. Lastly, development suggestions of distributed new energy, large new energy bases and offshore wind are given respectively.
Inhibitory Effect of Acorus tatarinowii Nasal in Situ Gel on Acetylcholinesterase
Authors: Xie Wuyun , Li Jianxin , Zhang Wenhui , Sun Qingwen , Chen Liang
Published: April 2024

Acorus tatarinowii was a traditional Chinese medicine used to treat neurological diseases such as epilepsy with significant effects. When the oral dosage is too large, it has potential neurotoxic effects. However, the toxicity mechanism is still unclear. In this study network pharmacology methods were used to explore the mechanism of neurotoxicity of Acorus tatarinowii. The results showed that 5 toxic components of Acorus tatarinowii were identified, involving 73 neurotoxic targets. Among them, AKT1, CASP3, PTGS2, ESR1, EGFR, HIF1A, GSK3B, MMP9, SRC, and CCND1 may be key targets for Acorus tatarinowii to exert neurotoxic effects; KEGG pathway analysis found that the neurotoxicity caused by Acorus tatarinowii may be mainly related to Pathways in cancer, Endocrine resistance, and Chemical carcinogenesis-receptor activation. It was found that Acorus tatarinowii may exert neurotoxic effects through multiple components and targets.
Current Situation and Development Prospects of Planning and Construction of Old Neighborhoods--Taking Jiefang District of Jiaozuo City, Henan Province as an Example
Authors: Shi Wentao , Ding Qijian
Published: April 2024

With the accelerated development of urbanization in Henan Province, the old neighborhoods in the Jiefang District of Jiaozuo City are facing increasingly prominent problems, such as functional decline, aging of the physical environment, and disappearance of historical and cultural characteristics. This contrasts with residents' pursuit of higher quality of life. From the residents' perspective, this study aims to explore solutions to the problems of old neighborhoods by visiting and analyzing the current situation of old neighborhoods in Jiaozuo Jiefang District from the residents' perspective. The research methodology includes field visits and survey data analysis in order to get a comprehensive understanding of the current situation and problems of the old neighborhoods. The team will put forward practical suggestions for renovation to improve the quality of life of the residents and improve the living environment. The research is not only limited to the description of the problems, but also focuses on proposing innovative and feasible solutions to provide useful references and suggestions for the renovation and development of the old neighborhoods in Jiaozuo Jiefang District.
Design of Brain Computer Interface Control System Based on Neural Network
Authors: Lo Manfei
Published: April 2024

As an interdisciplinary technology, Brain Computer Interface(BCI) combines the knowledge of neuroscience, biomedical engineering, machine learning and other fields, and is gradually changing people's life and work style. The purpose of this article is to study the brain wave signal identification method based on convolutional neural network (CNN). Firstly, advanced data processing methods are used to preprocess electroencephalogram (EEG) data, including noise removal and baseline drift correction, so as to improve the signal-to-noise ratio and characteristics of the data. Then, the CNN model is constructed, and by optimizing the model structure and parameters, it can better adapt to the processing of EEG data. Finally, compared with other neural network algorithms, the results show that the accuracy of CNN algorithm adopted in this article is higher than other algorithms in training set and test set, and the performance is the best. This algorithm can improve the recognition accuracy of EEG signals, thus achieving a more efficient and accurate BCI control system. The research provides new ideas and methods for EEG signal processing based on neural network, and can provide technical support for the design and implementation of BCI control system.
Discussion on the Development of Face-swap Methods
Authors: Wang Yibo
Published: April 2024

Face-swap technology is a technology that can transfer source face identity information to the target face and maintain some other attributes of the target face, also known as deepfake. Among these methods, the first to appear were target-specific ones, which tend to have better performance but lower efficiency. As deep learning techniques continue to evolve, the pursuit of algorithmic generalization has begun, using pre-trained models to swap different faces. Although the generalized models are very efficient, the quality of certain face-swap images and videos generated is not satisfactory. Thus, people want to find an algorithm with both generality and performance. In the context of the current general pursuit of both generality and performance of deep forgery mehtods, this paper examines the development of deep forgery methods from the early days to the present and discusses the question of whether algorithm generality and performance can be achieved at the same time. After that, this paper proposes a deep forgery dataset, which contains the wild face videos we found from the Internet video community Bilibili, as well as the forged videos and images we generated using the four methods: Deepfakes, DeepFaceLab, FSGAN, and FaceDancer, and tests on this dataset the ability of the existing deep forgery methods for the generation capability of wild faces. Finally, we change the direction of identity vector usage for the effect of the target face on identity transfer during the generation process and propose a metric to measure the identity transfer error of the generated face caused by the target face.
Labour market policy directed at ex-prisoners in Poland
Authors: Błędowski Piotr , Felczak Joanna , Gałecka-Burdziak Ewa
Published: April 2024

In the article we investigate how public employment services perform with respect to ex-offenders registered therein as unemployed workers in Poland in the time span 2004-2019. Our descriptive analysis will serve in the future in policy evaluation analyses regarding efficiency of certain labour market policy programmes offered to former inmates. We base our analysis on individual administrative data from public employment offices. We present the scope and diversity of the performed actions within active and passive labour market policy programmes. We also provide a literature review on the relationship between labour force attachment after leaving the prison and the recidivism.Conducted analysis indicates that public employment offices do not focus, in particular, on ex-offenders. This partially originates in stereotypical perception of ex-offenders. Nevertheless, social services are expected to perform inclusive actions of social and economic character and preventing the recidivism. The range of active labor market policy tools applied to ex-inmates is relatively small. On the other hand, only about 10% of former prisoners received unemployment benefits.In the article, we stress the importance of labour market participation in preventing subsequent criminal behaviour and by our research we also contribute by identifying knowledge gaps in analysing efficiency of certain labour market policies with respect to ex-offenders. Particular modifications in legislation conditions (for example treating ex-offenders as unemployed in special situation in the labour market or their wage during employment while being in prison) should lead to further investigation in the future.
Genially: Innovación en la Enseñanza de Matemáticas para Octavo Año de Educación General Básica Superior a través de la Gamificación
Authors: Lino-Rocafuerte Nelly Teresa , Sánchez-Del Valle Alexandra Elizabeth , Maliza-Cruz Wellington Isaac , González-Vizuete Karla
Published: April 2024

En la actualidad, la aplicación de tecnologías emergentes en la educación genera amplia discusión. Las Tecnologías de la Información y Comunicación (TIC) han transformado los modelos educativos, favoreciendo un enfoque constructivista y significativo, es por ello por lo que hoy en día se pueden utilizar diversos recursos de recompensa gamificados, gestionados a través de plataformas web como Genially, tiene un impacto positivo en las actitudes de los estudiantes hacia las matemáticas y reduce la ansiedad. El objetivo de esta investigación fue desarrollar una propuesta para que los estudiantes de octavo año de la asignatura de matemáticas de educación general básica de una institución pública a través de la herramienta Genially, utilizando la gamificación, pueda contribuir a mejorar la motivación y el aprendizaje de las matemáticas. La metodología de investigación adoptada fue de carácter descriptivo y teórico, con una revisión exhaustiva de la literatura y la aplicación de una encuesta a una muestra de 84 estudiantes, para evaluar la percepción de los estudiantes sobre la gamificación en la enseñanza de matemáticas. En cuanto a los resultados obtenidos, resulta el hecho de que los estudiantes consideran en un 63% que el material didáctico diseñado en Genially lo incentivan a participar en las actividades en las Matemáticas, y en un 49% de los encuestados, manifiestan que están totalmente de acuerdo en que la gamificación les permite adquirir conocimiento en la asignatura, de igual modo, el 37% se muestra de acuerdo, lo que representa que más de un 86% tienen la percepción que la gamificación les ha permitido adquirir conocimiento. Se señalan aspectos a mejorar, como la solución de problemas, pero en general, la gamificación se presenta como una estrategia efectiva para mejorar el proceso de aprendizaje.
A IMPORTÂNCIA DA SAÚDE COLETIVA NA PROMOÇÃO DE SAÚDE BUCAL INFANTIL: UMA VIVÊNCIA EXTENSIONISTA MULTIDISCIPLINAR
Authors: Birck Alana Elis , Silveira Gabriela Rodrigues da , Seeger Eduarda Andrade , Zamarchi Thiago Gargaro , Bitencourt Maiany Mazuim de , Schwaab Haiana , Batista Aline Krüger , Seerig Lenise Menezes
Published: April 2024

O trabalho em pauta apresenta como objetivo evidenciar um relato de experiência de acadêmicos do curso de Odontologia da Universidade Franciscana. Sendo esta vivência proporcionada por disciplinas extensionistas atreladas a Saúde Coletiva, são elas a de Epidemiologia Básica e Aplicada em Odontologia e Humanização na Prática Odontológica, o qual são mais do que meras matérias do curso, elas constituem uma abordagem extensionista que busca impactar positivamente tanto os estudantes, quanto os pacientes, possibilitando a ligação do conhecimento teórico com o prático, visando a interprofissionalidade e a intersetorialidade. Ademais, vale o destaque a relevância de ações extensionistas vigentes na grade curricular acadêmica por meio da curricularização da extensão, considerando o benefício mútuo aos estudantes e aos pacientes, atentando para a singularidade e as necessidades presentes em cada indivíduo. Sendo assim, destaca-se a imprescindibilidade da ligação existente entre promoção de saúde e qualidade de vida, tópico primordial estudado na teoria, sendo, concomitantemente, compreendido na prática efetiva. Portanto, com o intuito de promoção da saúde bucal - considerando a integralidade do indivíduo, e ampliação dos conhecimentos por meio da espiral construtivista, os alunos, em um dia de atividade extensionista, participaram de uma escovação e um levantamento epidemiológico em uma escola municipal da cidade de Silveira Martins.
POTENCIAIS EFEITOS DOS PROBIÓTICOS NO DESENVOLVIMENTO DO MICROBIOMA INTESTINAL DE NEONATOS PREMATUROS
Authors: Raulino Júlia Maria de Holanda , Moura Claudia Schmidt , Rocha Lucas Henrique Figueiredo , Silva Larissa Soares , Barbosa Vitória Sahena Martins Souza , Militão Gabrielle Guerra , Schenk Fernanda Santos , Cruz Noan da , Joter Kelcione Pinheiro Lima , Gomes Patrick Gouvea
Published: April 2024

Este artigo tem por objetivo abordar os potenciais efeitos dos probióticos no desenvolvimento do microbioma intestinal de neonatos prematuros. Trata-se de uma revisão integrativa da literatura, realizada nos materiais indexados na Biblioteca Virtual em Saúde (BVS): Medical Literature Analysis and Retrieval System Online (MEDLINE) e a Literatura Latino-americana e do Caribe em Ciências da Saúde (LILACS). Foram utilizados os Descritores em Ciências da Saúde (DeCS) em cruzamento com o operador booleano AND, da seguinte forma:  “Probióticos” AND “Microbioma Gastrointestinal” AND “Recém-nascido Prematuro”. Após a aplicação dos critérios de elegibilidade foram selecionados 9 (nove) estudos para compor essa revisão. O microbioma intestinal desempenha um papel crucial na saúde geral do neonato. Contudo, a sua composição pode ser particularmente vulnerável em bebês prematuros devido a uma série de fatores, incluindo imaturidade do trato gastrointestinal e exposição a intervenções médicas. Desse modo, os probióticos têm emergido como uma ferramenta promissora para o desenvolvimento imunológico, metabólico e neural do neonato pré-termo. Ademais, cepas probióticas específicas, especialmente o Lactobacillus, Bifidobacterium, apresentaram-se como alternativas profiláticas para o desenvolvimento de complicações gastrointestinais. Portanto, os potenciais efeitos benéficos na promoção da saúde infantil oferecem perspectivas emocionantes para melhorar os resultados a longo prazo.
Identification of the successes and failures of conservation and rural development projects in Los Aletones and La Pradera, in the mountain range sector of the municipality of Belén de Los Andaquíes, Caquetá. In a five-year retrospective
Authors: Vargas Ome Eliana Mayerly , Rodríguez Cantillo Erika , Sánchez Castillo Verenice
Published: April 2024

This research was based on an analysis of the successes and failures of rural development projects developed in the last five years in two villages near the municipality of Belén de los Andaquíes, Caquetá; these two areas were Los Aletones and La Pradera. Different activities were carried out with producers who are or were part of these projects, in order to collect information through interviews, surveys and visits to the different farms.As a result, we obtained information about the positive and negative contributions of each community, including the lack of technical support during the entire process involved in these projects, the acquisition of plant material that is not suitable for the area, the supply of poor quality machinery, and finally, the access roads are a limitation for people to take part in these activities, the importance of which is significant for the conservation of the natural environment. Despite the difficult circumstances, good results were also obtained, such as an increase in the learning of processes such as the elaboration of organic fertilizers, and greater care of natural resources
Quality of service and user satisfaction of a police station in a district of northern Lima
Authors: Vilca Malaver Yanko Yoshitaro , Meneses Claudio Brian Andreé , Zapana Ruiz Jorge Arturo
Published: April 2024

The situation about the attention people receive in the police stations of our country is poor, many users go to these waiting to be attended by police officers after some event or other need, but what they receive is an unfair and degrading treatment, which is why the research seeks to determine the relationship between the quality of service and the user satisfaction of a police station in a district of Lima Norte, 2023. The type of the research is basic, correlative research, cross-sectional, which is applied to a sample of 81 users who are studied through a survey, having as results that talking about quality of service a 43,2 % of the respondents said it was low, a 39,5 % considered it medium and only a 17,3 % considered it high, while regarding user satisfaction, the 53,1 % of the respondents considered it low, a 30,9 % considered it medium and only 16% considered it high, then the Rho Spearman coefficient is applied to establish the correlation, having as result a degree of significance of 0,001, so the existence of a relationship between quality service and user satisfacción is corroborated, also a coefficient of 0,814 is obtained, which indicates a direct and high correlation between the variables, this is because if users receive a bad attention by the police in the police station, the user satisfaction about the service will be equally bad
EU Membership of Western Balkan Countries and Digital Citizenship Practices
Authors: Ömer Ulukaya Esin
Published: April 2024

Following the end of the Cold War, the European Union's interest in the Western Balkans intensified, driven by geopolitical and geostrategic considerations. Moreover, the region holds significance as a transit route for energy lines supplying EU member states. Encompassing a diverse geographical expanse, the Western Balkans includes Croatia, Bosnia and Herzegovina, Montenegro, Bulgaria, Albania, Kosovo, Serbia, North Macedonia, Romania, Greece, and Slovenia. While the EU’s perspectives on the Balkan countries, situated in a geopolitically crucial position, became clearer following the Thessaloniki Summit 2003, they are currently grappling with various challenges. Within the EU, enlargement fatigue has emerged following the enlargements in 2007 and 2013. Concurrently, economic and political crises within the union have prompted restructuring efforts. These reforms, encompassing areas such as the “Rule of Law”, “Functioning Market Economy” and “Democratization and Transparency of Public Administration”, have become imperative amid the evolving global order and globalization trends. Consequently, reforms in digital citizenship have also become inevitable. This study examines the EU membership and digital citizenship practices of the Western Balkan countries.
Digitális alkalmazások megjelenése első osztályban
Authors: Árkosi Brigitta
Published: April 2024

Alsó tagozati matematika alapvető matematikai koncepciókat tanít, mint például az összeadás, kivonás, szorzás és osztás. Az interneten számos digitális oktatóanyag található, amelyek segítenek az első osztályosoknak megérteni az alapvető matematikai koncepciókat. Ezek az anyagok gyakran interaktívak, ami segít a diákoknak jobban megérteni, begyakorolni az órán tanultakat. A digitális eszközök, mint például a tablet, okostelefon és a számítógép, lehetővé teszik a diákok számára, hogy saját tempójukban tanuljanak. Ezen eszközök segítségével a diákok gyakorolhatnak, teszteket végezhetnek, és visszajelzést kaphatnak a teljesítményükről. Ezek a módszerek mind hozzájárulnak ahhoz, hogy a diákok jobban megértsék és élvezzék a matematikát. Azonban fontos, hogy a digitális tanulás mellett mindig kiegyensúlyozzuk a hagyományos tanulási módszerek kiegészítőjeként jelenik meg. Ebben a publikációban két olyan digitális alapon működő rendszert szeretnék bemutatni, amely nagyban hozzájárulhat a matematika órák színesebbé tételhez.
Niveles de estrés laboral en funcionarios del Departamento Regional de Atención Primaria a la Salud y las Unidades de Salud Familiar – Pilar, 2021
Authors: Núñez María Luisa , Muñoz Mística Diana
Published: April 2024

Este estudio presenta un análisis de los niveles de estrés laboral en funcionarios de la Dirección Regional de Atención Primaria de Salud (APS) y de las ocho Unidades de Salud de la Familia (USF) de la ciudad de Pilar. Dicho abordaje se hizo necesario debido a que, a causa de la naturaleza del trabajo en el campo de la salud, los profesionales están constantemente expuestos a situaciones estresantes que, cuando no son manejadas adecuadamente, conducen a una amplia gama de respuestas desadaptativas que finalmente afectan su bienestar físico y psicológico. Este estudio se realizó con un enfoque cuantitativo, específicamente un diseño observacional descriptivo con carácter transversal y prospectivo, que permitió recopilar información sobre las variables estudiadas y su descripción en un tiempo y espacio determinados. Se utilizó el censo como técnica de recolección de datos. Como instrumento documental se empleó el Maslach Burnout Inventory (MBI) de Maslach y Jackson, en su adaptación española. Los resultados mostraron que el 39,04% de los funcionarios encuestados experimentaron niveles altos de estrés laboral, el 31,70% reportaron niveles moderados y el 29,26% reportaron niveles bajos, lo que sugiere la necesidad de implementar medidas preventivas y de intervención para mejorar la salud y el bienestar de estos trabajadores. Los hallazgos de este estudio tienen implicaciones importantes para la gestión de recursos humanos en el sector de la salud y pueden servir como base para futuras investigaciones sobre el tema.
Integrability and convergence of modified sum under some generalized coefficient class in L1-metric
Authors: Nagpal Priyanka , Singh Karanvir
Published: April 2024

The class Sr', a generalization of the class S'  of Fourier coefficients is used to investigate the integrability and convergence of modified sum under L1-metric. The criterion for L1-Convergence of rth derivative of modified sum hn is also obtained under the same class of Fourier coefficients.
Generalized Jordan triple derivations associated with Hochschild 2-cocycles in semiprime rings
Authors: Gouda Aziza , Nabiel Hesham
Published: April 2024

In this article, under some conditions, we prove that every generalized Jordan triple derivation associated with Hochschild 2-cocycle in a 2-torsion free semiprime ring is a generalized derivation associated with Hochschild 2- cocycle.
Multilingual pre-service teacher's knowledge and understanding of analytical geometry content
Authors: Zulu Sibongile , Brijlall Deonarain
Published: April 2024

This South African study explored how pre-service teachers understand concepts in analytical geometry. Extending the work of Skemp and Carrillo-Yañez, et al., we captured data and carried out this qualitative study. We noted that the participants displayed complete understanding for some geometrical concepts but lacked relational understanding. Their learning process was interrupted during the covid epidemic, and this had a negative impact on their relational understanding of geometric concepts.
Application on Atangana-Baleanu fractional derivative via (τ, a)-weak contractive mappings
Authors: Prasad Koti N. V. V. Vara , Mishra Vinay , Surendra Hapka
Published: April 2024

This paper introduces the innovative concept of (τ, a)-weak contractive mappings. We establish several fixed point results without relying on conditions essential in prior works. Examples are presented to showcase our key findings, particularly in scenarios where earlier research outcomes are not applicable. Furthermore, we provide an application of our obtained results to fractional differential equations involving non-singular and non-local kernels.
Empowering Women with Disabilities in the Labor Market: A Mixed-Methods Study on Effective Training Strategies
Authors: Aldosari Aljawharah M. , Eid Hala F.
Published: April 2024

Little research has been done on the best ways to apply these realizations to the training of women with disabilities. We created an intervention program called “Vocational Training Strategies” to close this gap by raising awareness of, encouraging contemplation on, and promoting the application of training strategies that are advantageous for disabled women in the workplace. In the present study, we employed a mixed-methods approach to investigate the effectiveness of an intervention program called “Vocational Training Strategies.” This study involved 83 participants who were randomly assigned to either an intervention group or a control group. The study was designed to promote metacognitive knowledge and the use of effective learning strategies through three key components: awareness, reflection, and practice. The results showed that women with disabilities in the intervention group demonstrated significantly higher levels of metacognitive knowledge and self-reported use of effective training strategies compared to the control group. These findings support our two main hypotheses: that the study would lead to enhanced metacognitive knowledge and increased use of effective training strategies and developed the intention to change women with disabilities’ training behavior and use more effective strategies. Some aspects identified will be of particular interest to researchers, practitioners, and policymakers. In this new study, the authors identify effective training strategies for women with disabilities. The program is based on awareness, reflection, and practice, which together promote metacognitive knowledge and skills that are essential for successful vocational training to empower women with disabilities in the labor market.
A Novel Light-Weight Convolutional Neural Network Model to Predict Alzheimer’s Disease Applying Weighted Loss Function
Authors: Masud Mehedi , Almars Abdulqader M. , Rokaya Mahmoud B. , Meshref Hossam , Gad Ibrahim , Atlam El-Sayed
Published: April 2024

Alzheimer’s disease (AD) is a progressive neurological disorder that presents a significant public health concern. Early detection of Alzheimer’s has the potential to greatly improve patient care and treatment. Artificial intelligence (AI) has the potential to revolutionize healthcare by improving patient outcomes and empowering healthcare providers. In recent years, significant breakthroughs in medical diagnosis have occurred, thanks to the use of AI, particularly through the application of deep learning (DL) techniques. These advancements have the potential to greatly improve patient care and outcomes. Several proposals have been developed utilizing DL techniques to identify AD. This study proposes a DL model to classify individuals with AD using magnetic resonance imaging images. The study aims to evaluate DL’s effectiveness in predicting AD. The proposed model used a custom-weighted loss function, resulting in a 99.24% training accuracy, 96.95% test accuracy, a Cohen’s kappa score of 0.931, and a weighted average precision of 97%. The model is evaluated against several pre-trained models. Regarding accuracy findings and Cohen’s kappa score, the suggested model performs better than the others.
Current State of Research on Potential Biomarkers for Trisomy18 and 21 in Pregnancy Screening
Authors: Al balawi Aisha Nawaf , Ameen Fuad , Elmetwalli Alaa
Published: April 2024

Trisomy 18 (T18) and trisomy 21 (T21) are caused by chromosomal abnormalities, leading to intellectual disabilities and various health complications. T18 is caused by an extra chromosome 18, while T21 is caused by an extra chromosome 21. Both conditions cause abnormalities in the genes, which can lead to physical abnormalities and other health complications. Prenatal screening is a critical aspect of prenatal care that aims to identify potential inherited disorders early in pregnancy. Prenatal screening can help in detecting inherited abnormalities, such as T18 and T21, by testing for a certain genetic material in the mother’s blood or amniotic fluid. If the genetic material is detected, it can be further tested and, if necessary, a prenatal diagnosis can be made. This allows for early planning, including DNA counseling, to prepare for any potential health complications associated with the disorder. In recent years, microRNAs have emerged as promising candidates for biomarkers in prenatal screening. Traditional screening methods, such as ultrasound, amniocentesis, and chorionic villus sampling, have played a crucial role in identifying trisomy pregnancies, but their accuracy is limited. In this review, we explore some of the anticipated future technological advancements and their anticipated influence on these screening methods.
Pädagogik gewährter Autonomie
Authors: Töpper Sandra
Published: April 2024

The question of the human being is central to pedagogy, as all pedagogical thoughts and actions are based on anthropological ideas. At present, anthropocentric understandings of the self and the world of the human being are generally influential. This work scrutinises these both within pedagogy and in relation to Japanese ideas of what it means to be human. Following reflections by Michael Winkler, pedagogical anthropology, François Jullien, Tetsurō Watsuji, Takeo Doi and Bin Kimura, among others, an expanded horizon of thought is opened up in order to re-localise humanity in relations between self, other and world and to justify granted autonomy and being together as objectives of pedagogy.
Community Engagement to Enhance Environmental Health Education to Reduce Communicable Diseases in Developing Countries
Authors: Mwangi Benjamin
Published: April 2024

This chapter describes increasing and sustaining environmental health literacy (EHL) within the less disadvantaged and minority communities in third-world countries. People from developing countries experience systemic barriers to quality and affordable health due to economic disadvantages and lower educational attainment levels. Traditional cultural practices in developing economies reflect values and beliefs held by members for periods spanning generations. However, harmful conventional methods include female genital mutilation (FGM), forced feeding of women, early marriages, taboos, and religious beliefs that prevent women from controlling their fertility, nutritional taboos and traditional birth practices, early pregnancy, and bride price, among others. These undesirable practices affect public health negatively and increase the risk of otherwise preventable diseases. This chapter discusses community-based education approaches to promote healthy living styles and improve attitudes toward clinical interventions and treatments. The chapter contains examples of community-engaged education initiatives to promote EHL in various contexts, like community-initiated training that creates public awareness. Community-based education systems can contribute to building and sustaining equitable access to professional health and partnership between communities and stakeholders in the health sectors, emphasizing mutual co-learning and knowledge co-creation to meet unique existing and emerging needs.