bluuebunny/crossref_metadata_2025 huggingface dataset:
How Continuous Concreteness Shapes Brain Processing and Concept Representation Across Diverse Tasks: Insights from an ERP Study
Authors: Montefinese Maria , Visalli Antonino , Angrilli Alessandro , Ambrosini Ettore
Published: April 2024

Behavioural research over several decades has found that concrete words
are processed more quickly and accurately than abstract words
(concreteness effect). This advantage is also reflected in their
different processing and representation in the human brain. In this
electrophysiological study, we explored the interplay of concreteness as
a continuous measure and task effects on word processing.
Electrophysiological responses of 58 participants were recorded during
semantic, affective, and grammatical decision tasks on words
parametrically varied in concreteness. Our findings uncovered a
fine-grained concreteness effect within four distinct spatiotemporal
windows when a coding of semantic information is required. In the
semantic decision task, we detected a higher parietal positivity within
the P300 time range and an increased left temporo-lateral negative-going
amplitude for less concrete concepts. We also identified a concreteness
effect characterised by greater negativity in the N400 component. In the
affective task, we observed a more pronounced parietal P600-like
component for more abstract concepts. Interestingly, we found that the
neural representational similarity (starting from 450 ms with a
widespread scalp distribution) conformed to the concreteness similarity
among concepts (regardless of the task), implying that their semantic
representations may be characterised along the concreteness dimension in
the brain. Our study transcends the conventional dichotomy of abstract
versus concrete words, unearthing not only varied processing dynamics
along the concreteness dimension but also distinct fine-grained neural
representations. This novel insight positions concreteness as a
structural dimension, enriching our comprehension of how the brain
organises and processes semantic information.
Exploring Diverse Microbial Community Associated With Pandalus Borealis by High-throughput Sequencing Technology and Traditional method
Authors: Cui Xiaoqiu , zhang zhen , Dong Yichen
Published: April 2024

Microbial communities colonizing Pandalus borealis (the northern shrimp)
plays an important role in their ecosystem. Although Pandalus borealis
attracts extensive attention worldwide for a long time, the microbial
community and composition remain unclear. Therefore, the microbial
diversity and community composition were studied by high-throughput
sequencing technology and traditional cultured method. Whole shrimp were
dissected into components including eyes, shrimp eggs, viscera, muscles,
and shrimp tails to evaluate the diversity of culture-independent
microorganisms. The results showed that the microbial composition of
different body parts were similar, although fungal and bacterial
community diversity of the viscera were highest. The most predominant
bacterial phylum was the Proteobacteria that accounted for
13.47–89.82% of all reads from different body parts, except for shrimp
eggs. Only the CXQ1 whole-shrimp and viscera of CXQ25 yielded fungal
community results, of which the predominant phylum and genus were
Acomycota (48.02% and 71.21% in CXQ1 and CXQ25, respectively) and
Aspergillus (4.52% and 4.18%), respectively. Moreover, bacterial
functional predictions and fungal guild were also investigated on the
basis of OTUs results. Meanwhile, the traditional cultivable method
showed that total 22 Acomycota phylum fungal colonies were identified by
18S rRNA sequencing technology. These findings provide new insights for
culturable and inculturable microbial community composition of Pandalus
borealis for the first time.
Strategies to improve diagnosis and access to treatment of retinoblastoma in low-and middle-income countries: a systematic review
Authors: Rabelo Bruna , Alvarenga Kevin de , Rorigues Karla Emília , Ribeiro Adeylson , Lopes Luiz
Published: April 2024

Retinoblastoma, the most common intraocular tumor in childhood, still
faces challenges in diagnosis and treatment, particularly in low- and
middle-income countries. Identifying strategies to improve the time to
diagnosis and access to treatment is crucial to enhance survival rates
and preserve ocular health. We conducted a systematic review to identify
interventions that have demonstrated potential in addressing these
challenges. We performed a comprehensive search across databases until
March 2023. Out of the studies reviewed, twenty-one met the inclusion
criteria and were categorized into five main areas: surveillance
strategies, genetic counseling, education, public assistance and
international partnership. Despite the obstacles faced, the initiatives
identified in this review present acts towards improving the time to
diagnosis and access to treatment for retinoblastoma. Based on the
extracted data, we propose a comprehensive chain of initiatives. We
firmly believe that implementing this chain of initiatives can lead to
improved clinical outcomes for retinoblastoma patients.
Unveiling the Nexus Between Intellectual Capital Efficiency and Financial Performance in Malaysia's Healthcare Sector Amidst the Covid-19 Crisis
Authors: Badri Shah Noor Sharida , Ja’afar Roslan
Published: April 2024

Intellectual capital is a vital element in strategic resources and enhances the productivity of companies in the knowledge-based economy. However, during the COVID-19 pandemic, most of the sectors in Malaysia are affected by staff and apply knowledge-based processes and procedures. The study aims to assess the influence of intellectual capital (IC) efficiency on financial performance in Malaysia's healthcare system during the COVID-19 pandemic. The VAIC technique was used in the study, as well as panel data analysis with STATA 14. The sample was drawn from three (3) years of healthcare annual reports, spanning 2019 to 2021. Eleven (11) healthcare companies were chosen because they have the capacity to develop public healthcare services and provide high-quality medical facilities. The findings for VAIC ranking show Hartalega, the main producer of disposable gloves marked as the highest ranking of efficiency and the least efficient is TMC Life. For panel data analysis, the results exhibit value-added human capital (VAHU) and value-added capital employed (VACA) are observed to have a significant and positive relationship with the dependent variable; Return on Equity (ROE). Human capital and capital employed are considered the most efficient resources to generate profit and the vital elements in the Malaysian healthcare sector to combat the COVID-19 pandemic. This study contributed to the body of knowledge in the Malaysian healthcare sector about intellectual capital literature. Malaysian healthcare organizations can benefit from incorporating more intellectual capital into their operations to preserve long-term development progress.
Consumption with Imperfect Income Expectations
Authors: WU TIANHAO
Published: April 2024

Using survey forecast data, this paper documents several stylized facts about forecasters’ beliefs on income and consumption and aggregate consumption growth: (1) survey-based income forecast at consensus level is highly correlated with consumption growth; (2) consensus income and consumption growth forecast errors under-react to macro news shocks and (3) consensus income forecast error and consumption growth under-react initially and overreact subsequently in response to main business cycle shocks. Motivated by this evidence, we propose a model of equilibrium consumption determination where agents learn the exogenous latent permanent income process and extrapolate the past income realizations. Our model can generate the behavior of consumption that the rational-expectation Permanent Income Hypothesis fails to predict excess smoothness and excess sensitivity of aggregate consumption, and negatively correlated consumption growth and past income change in the medium run. This study contributes to the literature on economic belief formation and empirical consumption by showing how survey-motivated evidence can jointly explain a range of important anomalies.
The Necessity of the Digital Economy for Sustainable Economic Growth in OECD Countries
Authors: Yapi Boni David Jonathan , Seraj Mehdi , Ozdeser Huseyin
Published: April 2024

This paper’s main intent is to study the relationship between the digital economy and the sustainable economic growth of selected OECD countries from 2016 to 2020. In doing so, we will also endeavor to shed a brighter light on distinct elements of the digital economy and to comprehend their collective inputs on the economic returns of the digital systems. To achieve this, secondary data have been gathered to contribute to the quantitative design research method. We further employed a panel data set and regression techniques such as the unit root test, the cointegration test and the dynamic GMM amongst others. The results of the study revealed that sustainable economic growth is slightly significantly linked to the input of the digital economy in the short and long run. However, it has also been discovered that e-commerce revenues have a significantly positive effect on sustainable economic growth in the short and long run. Lastly, this study recommended the establishment of national and international economic metrics, reflecting more on the presence of digital systems.
Increasing access to business incubation services for cottage start-ups to promote inclusive entrepreneurship in Southwest Uganda
Authors: Tumuhimbise Manasseh , Musiita Benjamin , Katarangi Asaph Kaburura , Kahangane Geoffrey , Wanito Atwine Daniel , Akampwera Sheila
Published: April 2024

In the last 30 years, Uganda has grappled with rising unemployment, notably impacting small businesses, with 85% failing within the first five years. This trend is pronounced in the cottage industry, where 46% of businesses couldn't sustain operations in 2017. In Mbarara district, 65% of cottages established in 2015 had closed or relocated by 2019. This study explores the impact of business incubation support services on reducing cottage start-up failures and promoting inclusive entrepreneurship in Mbarara City. Examining 800 start-ups in handicrafts, soap making, pottery, tailoring, and shoe making, the study employed a correlational research design. The data, collected through a Likert scale questionnaire, revealed that access to finance, capacity building, and information technology (ICT) adoption accounted for 13.2% of the variation in cottage enterprise growth potential. Notably, increased finance positively correlated with growth, while capacity building showed no significant association. ICT adoption, however, had a negative correlation. The study emphasizes the need for cottage entrepreneurs to receive more training on product improvement, additional capital, equipment, and partnerships. In conclusion, access to capacity building, funding, and ICT adoption is pivotal for cottage enterprise expansion, advocating for incubation support services to enhance collaboration, funding, equipment, and product improvement training for cottage entrepreneurs.
Financial Literacy, Access to Digital Finance and Performance of Ugandan SMEs in Mbarara City
Authors: Bakashaba Rennie , Musiita Benjamin , Nabachwa Sarah
Published: April 2024

This study investigates the relationship between financial literacy and access to digital finance, and how these impact the performance of small and medium-sized enterprises (SMEs) in Uganda. From a population of 4,776 SMEs in Mbarara City, the research uses a sample of 351 SMEs with a response rate of 99%, chosen based on the Krejcie and Morgan (1970) tables. To investigate the correlations between the variables, a cross-sectional design is used. The findings indicate a positive and significant relationship between financial literacy, access to digital finance and SME performance in Uganda. The regression analysis indicates that 45.7% of the variation in Ugandan SME performance can be explained by the combination of the effect of financial literacy and access to digital finance (adjusted R square = 0.457). This implies that the remaining 54.3% of the variation in SME performance was not taken into account in this study and is due to other factors. Given the significant amount of variation explained by these two variables, the study suggests that policymakers and stakeholders in Uganda's SME sector prioritize programs aimed at enhancing SMEs' financial literacy and access to digital finance. Additionally, the study recognizes the presence of other factors influencing SME performance, emphasizing the need for further research and attention in future planning.
Factor Input Prices and Unemployment in Uganda
Authors: Musiita Benjamin , Kijjambu Frederick Nsambu , Katarangi Asaph Kaburura
Published: April 2024

Examining the impact of input costs on unemployment in Uganda, this study employed an ARDL model based on the Efficiency Wage Theory. Analyzing annual data from 1987 to 2019 and controlling for economic size and currency value, the research found that lending interest rates, real exchange rates, and GDP have a short-term negative impact on unemployment, suggesting an initial rise. However, the study highlights a positive long-run relationship between these factors and unemployment, indicating their potential to contribute to lower unemployment over time. Interestingly, no significant short-run or long-run effect of global crude oil prices on Uganda's unemployment was identified. These findings suggest that while central bank policies promoting lower interest rates can encourage short-term investment and potentially lower unemployment, long-term economic growth is also crucial. Furthermore, the lack of impact from oil prices underscores the need for Ugandan policymakers to diversify the economy beyond oil dependence for sustainable unemployment reduction.
Does Investment in Human Capital Offset Oil Dependence? Unveiling the Drivers of Unemployment in Uganda
Authors: Katarangi Asaph Kaburura , Kijjambu Frederick Nsambu , Musiita Benjamin
Published: April 2024

This study explored the impact of human capital development on unemployment in Uganda. Employing a Vector Auto Regression (VAR) model informed by the Neoclassical growth theory, the research analyzed the relationship between education expenditure (a human capital component) and unemployment, while controlling for physical capital (represented by GDP) and inflation. Utilizing annual data from 1986 to 2022, the findings revealed a complex dynamic. In the short run, higher real effective exchange rates (stronger local currency) and GDP growth might lead to a temporary rise in unemployment. However, the long-term picture suggests a positive influence of real exchange rates and GDP on unemployment, implying they contribute to lower unemployment over time. Interestingly, the study found no direct impact of international oil prices on Uganda's unemployment. The research concludes by highlighting the need for effective population management strategies, such as family planning and education, to ensure sustainable population growth that aligns with economic expansion.
Human Capital Development and Unemployment in Uganda: The Keynesian Theory of Unemployment in Perspective
Authors: Kijjambu Fredrick Nsambu , Musiita Benjamin , Katarangi Asaph Kaburura
Published: April 2024

This study delves into the dynamic relationship between human capital development and unemployment in Uganda, employing a Vector Error Correction Model (VECM) to analyze time series data on education and health expenditures as a percentage of GDP, Gross Fixed Capital Formation, and Government Consumption Expenditure. The study applied aggregated secondary data on an annual basis trenching from 1986 to 2022 and from the World Bank Development Indicators (WBDI). For data analysis purposes, the STATA software was utilized. The findings reveal a significant negative effect of education expenditure on unemployment rates in the short term, highlighting the critical role of educational investment in mitigating unemployment. Health expenditure is similarly beneficial in the long term, though its short-term effects are less pronounced. The results advocate for prioritizing educational spending in economic policies to foster sustainable employment growth. These insights are crucial for policymakers aiming to leverage human capital development as a means to counter unemployment and promote economic stability.
Stakeholder Involvement and Team Capacity on the Performance of Rural Electrification Projects in Southwestern Uganda
Authors: Mpangwire Violah , Ainomugisha Sarah , Musiita Benjamin
Published: April 2024

This research delves into the dynamics of stakeholder involvement and team capacity in shaping the success of rural electrification projects in Southwestern Uganda. The study adopted a cross-sectional design using a quantitative approach. Data was collected from a population of 38 rural electrification projects in Southwestern Uganda. A sample of 34 projects was determined using Krejicie and Morgan's Table 1970, and these were selected through simple random sampling. Findings indicate significant positive relationships between stakeholder involvement, team capacity, and project performance. The analysis reveals that 41.9% of the variations in project performance are explained by stakeholder involvement and team capacity, with 58.1% unaccounted for, signaling potential avenues for future research. The study concludes by advocating for strategic interventions that prioritize stakeholder engagement and team capacity in rural electrification projects in Southwestern Uganda. Therefore, it is important to emphasize the critical role of engaging stakeholders and enhancing team capabilities for successful rural electrification projects.
The Mediating Role of Access to Digital Finance on the Relationship between Financial Literacy and Performance of Uganda SMEs in Mbarara City
Authors: Bakashaba Rennie , Musiita Benjamin , Nabachwa Sarah
Published: April 2024

The study aimed to explore the potential mediating influence of access to digital finance in the relationship between financial literacy and the performance of SMEs in Uganda. To establish this link, the study used a cross-sectional methodology to collect data at a certain point in time. Barron and Kenney's (1986) four phases required each direct influence of the study variables to follow a significant criterion. These requirements were satisfied because there was a significant direct correlation between SMEs' performance and financial literacy (Beta= 0.655; p<.01). Access to digital finance and financial literacy demonstrated a considerable direct impact (Beta= 0.519; p<.01). Moreover, there was a noteworthy direct impact from SMEs' performance to their access to digital finance (Beta=0.491; p<.01). When considering access to digital finance, the direct association between financial literacy and SMEs' performance decreased from Beta=0.655 to Beta=0.548, remaining statistically significant. This indicates that access to digital finance might serve as a moderator in the connection between financial literacy and SME success. further demonstrated by the indirect effect of (0.106/0.655 x 100) percentage. 16.2%, meaning that the direct effect is explained by 83.8% in the model. It is advised that policymakers and stakeholders in Uganda's SME sector should concentrate on developing clear guidelines on how SME owners can access digital finance. This will help in training them to improve the performance of SMEs. To improve SME outcomes, methods should be developed to make it simpler for people to use digital financial services and raise their financial literacy.
Copyright Content User Licensing Model for Collective Management Organizations in Uganda
Authors:   1Learning Content Developer, ISBAT University, Kampala, Uganda 2Dept of ICT - Faculty of Creative Tech, City of Oxford College and University Centre, Oxford, UK 3Department of Computer Science, Federal University of Technology, Minna, Nigeria Dept of Computer Science, Faculty of Physical Sciences, Ahmadu Bello University, Zaria, Nigeria, Lyada Emmanuel , Ehigiator Iyobor Egho-Promise , John K. Alhassan , Mustapha Aminu Bagwa
Published: April 2024

Collective Management Organizations (CMOs) negotiate and collect royalties for intellectual works on behalf of its owners. These royalties fund Collective Management Organizations (CMO) activities, with portions going to copyright holders and the government (VAT). Higher education institutions make substantial contributions to copyright as makers and users of copyrighted works. CMOs attempt to collect royalties from these creators in order to preserve their confidence. Throughout the royalty collection process, Collective Management Organizations (CMO) engage with and gather a large amount of user data. This paper suggests a copyright user licensing approach to help Ugandan CMOs manage their licensing operations. The model includes gathering user information, determining requirements, and granting licenses. Data security in the central database is a major concern. Object-oriented programming (OOAD) is used to develop a trial system for user evaluation. The project involved collaboration with CMO staff, copyright users, and IP practitioners across several African countries. Feedback was gathered through interviews, focus groups, and user testing of a system prototype. The tested prototype was assessed for user-friendliness, navigation ease, consistency, usability, task completion time, and information access speed. The study concludes that a copyright user licensing model can improve licensing processes for CMOs and reduce copyright infringement. It further suggests that this model can be adapted for use by other licensing firms and organizations. Keywords: Collective Management Organization (CMO), Copyright user licensing, Copyright royalties, Higher education institutions, IP, Data security, OOAD, Copyright infringement Journal Reference Format: Lyada E , Egho-Promise E. I.,John,K.A. & Mustapha, A.B. (2024): Copyright Content User Licensing Model for Collective management Organizations in Uganda. Advances in Multidisciplinary Research Journal. Vol. 2.No. 4, Pp1-16. Vol. 10. No. 1. Pp 17-40 www.isteams.net/aimsjournal. dx.doi.org/10.22624/AIMS/BHI/V10N1P2
Pilot Study on Web Server HoneyPot Integration Using Injection Approach for Malware Intrusion Detection
Authors:   1,2Department of Computer Science, Faculty of Computing University of Delta, Agbor, Delta State, Nigeria, , 3Department of Computer Science, Faculty of Physical Science University of Calabar, Calabar, Nigeria, Malasowe Bridget , Aghware Fideli , Edim Bassey Edim
Published: April 2024

The digital world is rapidly coming together as well as transforming a lot of our valued data onto digital forms. Its consequent dissemination eased via the advent of the Internet has also encountered many attacks due to predictable responses from many users – leading up to social engineering and exploits on trust-level of users. The use of deception is now playing a very prominent role in enhancing data security. Several approaches abound to discourage and redirect challenges (via the use of honeypot), and to detect such intrusive activities (via an intrusion detection systems). These have been successfully used to minimize security breaches. We explore a deep learning deception-based honeypot to minimize breaches by adversaries. Used on web servers, it is equipped with identification capabilities as the system learns and defends a user system against intrusive actions. Our confusion matrix shows model has sensitivity of 0.81, specificity 0.08, and prediction accuracy of 0.991 with an improvement rate of 0.39 for data that were not originally used to train. . Keywords: Web Server, HoneyPot, Integratio, Injection Approach, Malware Intrusion Detection CISDI Journal Reference Format Malasowe B., Aghware, F. & Edim, B.E. (2024): Pilot Study on Web Server HoneyPot Integration Using Injection Approach for Malware Intrusion Detection. Computing, Information Systems, Development Informatics & Allied Research Journal. Vol 15 No 1, Pp 13-.28. dx.doi.org/10.22624/AIMS/CISDI/V15N1P2. Available online at www.isteams.net/cisdijournal
A Logistic Regression-Based Technique for Predicting Type II Diabetes
Authors:   1, 2, 3, 7Kwara State University, Malete, PMB 1530, Ilorin, Kwara State, Nigeria, Babatunde Ronke Seyi ,   4,6 Kwara State Polytechnic, Ilorin, Kwara State, Nigeria,   5Tai Solarin University of Education, Ogun state 8Federal College of Education, Iwo, Osun State, Nigeria 9Summit University, Offa, Kwara State, Nigeria, Babatunde Akinbowale Nathaniel , Balogun Bukola Fatima , AbdulRahman Tosho Abdulahi , Umar Emmanuel , Ajiboye Raimot Adenike , Mohammed Shuaib Babatunde , Oke, Afeez Adeshina , Obiwusi, Kolawole Yusuf
Published: April 2024

In recent years, diabetes has emerged as one of the main causes of death for people. The spread of unhealthy foods, sedentary lifestyles, and eating habits have all contributed to the annual increase in the incidence of diabetes. A diabetes prediction model can help with clinical management decision-making. Diabetes prevention may be aided by being aware of potential risk factors and early detection of high-risk individuals. Numerous diabetes prediction models have been created. The size of the data set to be used was an issue in earlier research, but more recent studies have incorporated the use of high-quality, trustworthy data sets, such as the Vanderbilt and PIMA India data sets. Recent research has demonstrated that a few variables, including glucose, pregnancy, body mass index (BMI), the function of the diabetic pedigree, and age, can be used to predict Type II diabetes. Machine learning models of these parameters can be used to accurately predict the chance of the disease occurring as it was investigated in this study. In order to predict Type II diabetes, this study used the machine learning method Logistic Regression. Keywords: Type II Diabetes, Logistic Regression, Hyperparameter and Prediction ACity FCSI Journal Citation Format Babatunde, R.S., Babatunde, A.N., Balogun, B.F., Abdulrahman, T.A., Umar, E., Ajiboye, R.A., Mohammed, S.B., Oke, A.A. & Obiwusi, K.Y. (2024): A Logistic Regression-Based Technique for Predicting Type II Diabetes. Journal of Computational Sciences & Informatics. Academic City University College, Accra, Ghana. Vol 4 No. 1 March, 2024 Pp 1-14. https://www.isteams.net/ghanabespoke2023. dx.doi.org/10.22624/AIMS/FCSIJ/2024/P1
AI and Cybersecurity in Investigative Journalism: A Literature Review
Authors:   American International University West Africa College of Management and Information Technology, Kannifing, The Gambia  2Doctoral Researcher, Department of Mass Communication Crescent University, Abeokuta, Nigeria, Ademola Ojo Emmanuel , Somorin K.
Published: April 2024

This literature review examines the intersection of artificial intelligence (AI) and cybersecurity in the context of investigative journalism. The use of AI technologies in investigative journalism has revolutionized the way journalists analyze data and uncover stories, while also posing new challenges in cybersecurity and the detection of deepfakes. The academic literature highlights the importance of training journalists in cybersecurity best practices, investing in AI technologies, and detecting and debunking deepfakes to safeguard the integrity of journalistic work. By integrating AI and cybersecurity measures into newsrooms, journalists can better protect themselves against cyber threats and combat misinformation, ensuring the continued relevance and credibility of journalism in the digital age. Keywords: Artificial Intelligence, Cybersecurity, Investigative Journalism, Deepfakes, Data Analysis, Misinformation, News Organizations, Cyber Threats, Journalism Integrity. Journal Reference Format: Ademola, O.E. & Somorin, K. (2024): AI and Cybersecurity in Investigative Journalism: A Literature Review. Social Informatics, Business, Politics, L:aw, Environmental Sciences & Technology Journal. Vol. 10, No. 1. Pp 9-18 www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V10N1P2
Application of artificial intelligence control in the control system of cooling and heating energy stations
Authors: Qi Haosheng , Ouyang Qun , Ma Lin
Published: April 2024

In order to understand the application of artificial intelligence in the
control system of cold and hot energy station, the author proposes a
research based on artificial intelligence control in the control system of
cooling and heating energy station. The author first introduces artificial
intelligence technology on the basis of heating and precision heating,
relies on the ?Internet plus? and IoT platform, applies indoor temperature
measurement technology, intelligent control and information docking
technology, and establishes a heating system based on artificial
intelligence technology. This system has improved the level of enterprise
management, promoted the further development of heating and intelligent
energy conservation, reduced energy consumption, reduced pollution, and
achieved the need for precise heating of the pipe-line network. Secondly,
combined with the application case of a district, this district is selected
as the application pilot to describe the role and effect of this system in
the Hydronics. The experimental results indicate that the heat consumption
of the residential area is 27.07 W/m2, while the heat consumption of the
comparison residential area is 28 W/m2. Through indoor temperature
measurement, it was found that the average indoor temperature of the
comparison residential area is 22?C. Therefore, the application of
artificial intelligence heating systems has improved the thermal comfort of
residents, bringing users a high quality heating experience while relatively
reducing energy consumption. The intelligent application of the Hydronics
can more accurately grasp the heating situation, timely and efficiently
adjust the heating scheme, achieve heating balance, and improve the
utilization efficiency of heat sources. At the same time, it can also
effectively improve the troubleshooting ability of the hydronics, prevent
safety risks, improve management efficiency, and will certainly provide more
powerful support for the energy-saving society and environment-friendly
society.
Research and application of thermal energy recovery and automatic monitoring system for motor equipment
Authors: Su Bei
Published: April 2024

In order to achieve an automatic monitoring system for the operation status
of motor equipment, the author proposes a research and application based on
the thermal energy recovery and automatic monitoring system of motor
equipment. The author first analyzes the operating characteristics of the
motor and collects four basic parameters of the motor, namely voltage,
current, speed, and temperature, in order to determine whether the motor is
in normal working condition. Secondly, the system combines electrical
parameter detection and acquisition, wireless network technology,
industrial field bus technology, and computer user software to achieve
remote real-time monitoring, control, and management of the motor?s remote
travel status. This enables the entire system to achieve intelligent,
networked, and systematic management, solving the technical problem of
real-time control and system management that cannot be achieved in motor
systems distributed in multiple locations. Finally, the monitoring results
indicate that after installation and debugging, the data is displayed on
the upper computer. This effect is the data collection of the motor during
low speed operation, which is reflected in real-time on the control panel.
The actual parameters of the motor were compared with the test parameters of
this system, and the test basically achieved the desired effect, with
accurate detection data.
sete saberes de Edgar Morin como fundamentos epistemológicos na formação docente on-line
Authors: Behrens Marilda Aparecida , Prigol Edna Liz
Published: April 2024

Este artigo é resultado de uma pesquisa que objetivou: (i) identificar as impressões da organização e do desenvolvimento de curso on-line, por meio da coleta de indicadores sobre o processo de formação continuada; (ii) analisar as contribuições por meio dos relatos dos professores participantes de curso on-line sobre a possibilidade de os sete saberes de Edgar Morin subsidiarem o início do acolhimento do pensamento complexo na prática pedagógica. A pesquisa qualitativa, do tipo estudo de caso, envolveu a formação continuada on-line de 28 professores portugueses e brasileiros. Como suporte metodológico, utilizaram-se a netnografia e, exclusivamente, um repositório digital na web como lócus de produção de dados. Os resultados indicam que os docentes adquirem saberes teóricos e práticos ao longo da carreira, por meio de estudos, da prática pedagógica e das trocas com seus pares. Conclui-se que a mudança epistemológica no acolhimento do pensamento complexo necessita de processos de formação continuada presencial ou on-line.
Análise do impacto do projeto terapêutico singular no serviço de saúde, comunidade e ensino médico
Authors: Rocha Maria Carolina Pereira da , Francisco Nathalia Braido , Tavares Maria Beatriz Cantú , Junqueira Fábio Miranda
Published: April 2024

Introdução: as Diretrizes Curriculares Nacionais do Curso de Graduação em Medicina, homologadas em 2014, reforçam a necessidade de maior inserção do discente em cenários práticos condizentes com a realidade brasileira. A elaboração do Projeto Terapêutico Singular (PTS) durante o estágio de Saúde Coletiva é uma das ferramentas usadas para ampliar a integração entre ensino, serviço e comunidade (IESC). Objetivos: avaliar o impacto da aplicação do PTS no ensino, no serviço e na comunidade. Métodos: entrevistas e visitas às famílias e equipe de saúde e coleta de dados através do Google Forms® para obter as impressões dos alunos e professores. Resultados: a maioria dos envolvidos entende os benefícios do PTS no aprendizado e como ferramenta de avaliação; como dificuldade citam, principalmente, tempo, falta de vínculo e de seguimento das propostas. Discussão: os dados encontrados condizem com os dados da literatura sobre as potencialidades e dificuldades ligadas ao PTS. Conclusão: a elaboração de um projeto terapêutico proporcionou estabelecimento de integração entre ensino, serviço de saúde e comunidade, porém há pontos a serem reavaliados.
Multiletramento na Educação Infantil: uso da “Mesa Tablet” no desenvolvimento da Aprendizagem
Authors: Martins Thais Rodrigues , Maciel Cilene Maria Lima Antunes
Published: April 2024

Este artigo objetiva verificar a importância do multiletramento na Educação Infantil, concentrando-se no uso da “mesa tablet” como ferramenta tecnológica e explorando como essa perspectiva impacta significativamente o processo de aprendizagem das crianças. Utilizando uma abordagem qualitativa com estudo de caso, a pesquisa busca resultados observados no ambiente escolar e analisa os dados por meio da Análise de Conteúdo de Bardin (2016). Os resultados destacam a interação das crianças com a “mesa tablet” no ambiente educacional. Conclui-se que é viável promover um processo de ensino-aprendizagem integral, envolvendo multiletramento para o desenvolvimento dos estudantes. Esta abordagem ressalta a importância de estratégias que incentivem a autonomia, interação social, criatividade e pensamento crítico, evidenciando a eficácia da introdução de tecnologias, como a “mesa tablet”, para novas oportunidades de aprendizagem e construção de conhecimento.
Ensino de Geografia para Pessoas Cegas: o percurso da construção e avaliação de um material de cartografia tátil com elementos naturais e recicláveis
Authors: Santos Welber Duarte dos , Hübner Marcus
Published: April 2024

O presente trabalho é uma investigação pedagógica aplicada, qualitativa e exploratória. O público-alvo são pessoas cegas, residentes no estado de Mato Grosso, e que foram ou são escolarizadas nesta região. Foram empregados roteiros, questionários, caderno de anotações e gravação de áudio para o levantamento dos dados, analisados à luz das características defendidas por autores da área. O objetivo foi construir um conjunto de recursos educacionais acessíveis e sustentáveis para o ensino de Geografia às pessoas cegas, utilizando elementos biodegradáveis. De acordo com o verificado, embora funcional, com diversidade de texturas e inovador, os recursos podem ter pouca durabilidade e qualidade quando manipulados com frequência, não tendo sido localizados, até aqui, meios de manter a resistência por longos períodos. Além disso, a complexidade da coleta, tratamento e construção podem prejudicar a reprodução do material. Conclui-se que são necessárias investigações e aprofundamentos acerca da utilização e conservação desses elementos para uso educacional.
Quizizz como ferramenta pedagógica na disciplina de agronomia: um estudo de caso a partir da realidade da Casa Familiar Rural de Coquelândia (CFR), Maranhão
Authors: Acioly Thiago Machado da Silva , Viana Diego Carvalho , Mendes Jessica Antonia Cardoso , Silva Francisca Regina Ribeiro da
Published: April 2024

São diversos os relatos de que o uso de metodologias ativas, aliadas a recursos digitais, traz resultados positivos na motivação e engajamento dos estudantes em sala de aula. Nessa perspectiva, surge o Quizizz, uma plataforma gratuita que permite a criação de testes (quiz) com a participação de muitos jogadores, o que possibilita o estudo e a avaliação de conhecimentos em diversos assuntos. Este artigo objetivou analisar a efetividade da gamificação com o Quizizz como uma metodologia colaborativa no processo de ensino e aprendizagem da disciplina de Agronomia, por meio de um questionário. A partir dos resultados, percebe-se que 72% dos estudantes podem se sentir mais motivados nas aulas gamificadas, enquanto, 26% ficam alegres/animados e 2% ansiosos/nervosos. Além disso, as principais dificuldades encontradas foram relacionadas a instabilidade da internet da instituição durante as atividades, localizada no meio rural, e a poluição visual do aplicativo com palavras em inglês.
Análise das produções acadêmicas sobre Educação Física e Currículo Integrado para a Educação Profissional entre 2009 a 2022
Authors: Menchik Jaubert de Castro , Deus Gabriela Brum de , Coutinho Renato Xavier
Published: April 2024

O Ensino Médio Integrado (EMI) é uma modalidade desenvolvida nos Institutos Federais (IFs) que relaciona os conteúdos do ensino básico com o profissionalizante. Assim, este ensaio analisou produções acadêmicas dentro da área da Educação Física (EF), do EMI e dos IFs a partir dos estudos publicados na Biblioteca Digital Brasileira de Teses e Dissertações e no Portal de Periódicos da CAPES no período de 2009 a 2022. Esta pesquisa possuí viés qualiquantitativo, de caráter documental e cienciométrico, traçando um panorama, as implicações nos currículos e nas práticas pedagógicas da EF. Os resultados demonstraram que os percursos da EF nos IFs e as contribuições do EMI dentro da disciplina apresentam caráter relevante. Nota-se que a EF busca sua identidade dentro do EMI, pois, os trabalhos apontam que há uma “esportivização” relativa aos conteúdos. Assim, constata-se a necessidade de ampliar os estudos sobre as possibilidades metodológicas para alcançar a integralidade da educação proposta pelo EMI.
Impressões docentes na educação física escolar de Cuiabá, mato grosso: relato de experiências positivas na educação infantil
Authors: Lúcio Géssica Adriana de Carvalho , Grunennvaldt José Tarcísio , Moreira Evando Carlos
Published: April 2024

O presente estudo tem por objetivo descrever  as práticas de ensino desenvolvidas nas aulas de Educação Física na Educação Infantil a partir dos relatos de experiências de professores de Educação Física das escolas municipais de Cuiabá, MT. Para tanto, realizamos um estudo de campo, de natureza descritiva, de abordagem qualitativa e interpretativa. Os sujeitos da pesquisa foram seis professores de Educação Física das escolas municipais de Cuiabá, MT, atuantes na Educação Infantil. Os instrumentos utilizados na pesquisa foram questionário e entrevista. Evidenciamos nos relatos das experiências dos professores experiências consideradas por eles como exitosas, significativas, proveitosas, dentre elas: a experiência com relação ao conhecimento corporal; o uso da música, diferentes ritmos e espaços; a ludicidade e a imaginação; a utilização de material reciclado como recurso nas aulas.
Métodos Históricos para determinar a equação da Orthotome à Parábola
Authors: Sánchez Ivonne C. , Castillo Luis Andrés
Published: April 2024

Neste artigo se destaca o desenvolvimento histórico e epistemológico dos métodos para determinar a equação de uma cônica específica, desde Menêcmo com a Orthotome até as contribuições de Apolônio com a Parábola. O texto revela um movimento sequencial histórico, utilizando a História da Matemática para enriquecer o ensino da parábola, explorando métodos diversos para determinar sua equação, culminando na expressão reduzida, isto a partir de uma pesquisa bibliografia em fontes primarias, secundarias e terciarias. Embora não foque nas potencialidades das tecnologias digitais, destaca-se o papel do GeoGebra na realização precisa de figuras e na compreensão de correlações geométricas e algébricas durante a investigação histórica. Consideramos que este tipo de investigação histórica e de importância conceitual para os professores e de importância didática sobre o desenvolvimento, apropriação e representação histórica não apenas dessa cônica, mas também de outras curvas, no âmbito científico e disciplinar da matemática e no seu ensino.
Efektivitas Sertifikasi Amil Zakat dalam Meningkatkan Kompetensi Amil di BAZNAS Kabupaten Cilacap
Authors: Dwi Guntoro
Published: April 2024

Banyak amil zakat yang bekerja di lembaga-lembaga pengelola zakat memiliki latar belakang pendidikan, pengalaman, dan pengetahuan yang berbeda-beda mengenai skema pengelolaan zakat yang baik dan benar. Sertifikasi amil zakat diformulasikan untuk menciptakan para amil agar memiliki kompetensi kemampuan kerja yang unggul dan teruji, sehingga tercipta efektivitas dan efisiensi dalam melakukan pengelolaan zakat. Pada BAZNAS Kabupaten Cilacap, terdapat setidaknya dua amil yang telah mengikuti sertifikasi amil zakat dan dinyatakan kompeten. Tujuan dari penelitian ini adalah untuk mengetahui efektivitas sertifikasi amil zakat dalam meningkatkan kompetensi amil di BAZNAS Kabupaten Cilacap. Penelitian ini menggunakan jenis penelitian kualitatif dengan pendekatan survei lapangan, peneliti bermaksud untuk menggambarkan permasalahan sebagaimana yang diperoleh di lapangan, baik data tersebut berupa kata-kata tertulis dari para narasumber maupun data-data pendukung lainnya. Hasil penelitian menunjukkan bahwasanya efektivitas sertifikasi amil zakat dalam meningkatkan kompetensi amil di BAZNAS Kabupaten Cilacap secara umum bisa dikatakan cukup efektif, hal ini dikarenakan terjadinya progres positif peningkatan kualitas kompetensi kerja dari para amil setelah mereka melakukan sertifikasi. Selain itu, sebagai bahan pendukung sekaligus bukti konkrit peningkatam kompetensi tersebut adalah dengan melihat data jumlah muzaki dan mustahik, jumlah penerima manfaat zakat, infak, dan sedekah, serta perolehan dan penyaluran zakat, infak, dan sedekah yang secara umum juga terus meningkat ketika dua orang amil di BAZNAS Kabupaten Cilacap telah melakukan sertifikasi dan dinyatakan kompeten.
Identification of protein expression changes in milk in experimental bovine mastitis using difference gel electrophoresis
Authors: Thomas Funmilola Clara , Ajibola Eyitayo Solomon , Scott Allan , Tassi Richardo , Santana Andre Marcos , McNeilly Tom Nathan , Zadoks Ruth , Haining Hayley , Burchmore Richard , Eckersall Peter David
Published: April 2024

In order to identify the extent of protein changes in milk during mastitis as a guide to detecting markers for prompt management of the disease, milk from cows in which clinical mastitis was experimentally induced were subjected to difference gel electrophoresis (DiGE) analysis. Pooled samples from 6 udders (from 6 cows) were analysed at selected time points: 0, 81 and 312 hours post-challenge with Streptococcus uberis mastitis. These corresponded to samples from the pre-infection, peak and resolution phases of the mastitis challenge. After the preliminary sample preparation, concentration and pooling steps, samples were labelled with CyDyes (Cydye 2, 3 and 5), after which isoelectric focusing and gel electrophoresis were carried out respectively. DiGE gels were subsequently scanned and ImageQuant, ImageJ and DeCyder™ 2D (version 7.0) softwares were used to crop, obtain jpeg images and carry out 2-D differential analysis and processing of the images, respectively. Biological variation analysis (BVA) software (GE Healthcare Life Sciences, Buckinghamshire, UK) was also used to analyse the gels and create gel to gel matching of spots (qualitatively and quantitatively) within the three gels produced. Overall, a total of 521 protein spots were identified as significantly differentially expressed (qualitatively or quantitatively) in mastitis milk during the course of the intramammary infection. This demonstrates the large repertoire of protein biomarker candidates available, revealed through this technique. Further studies are required to elucidate the merits and demerits of these changing proteins in order to identify the one most suitable for clinical application in mastitis diagnosis.
The prevalence, enterotoxigenic properties and antimicrobial susceptibility of Staphylococcus aureus isolated from various foods of animal origin
Authors:   Department of Food Hygiene and Technology, Faculty of Veterinary Medicine, Aydın Adnan Menderes University, Bati Kampusu, Aydın, Türkiye, Kizanlik Pelin Kocak , Goksoy Ergun Omer
Published: April 2024

This study aimed to determine the prevalence, enterotoxigenic properties and antimicrobial resistance profile of Staphylococcus aureus isolated from 850 food samples, including bulk tank milk, Tulum cheese, chicken meat and beef carcasses, in Türkiye. S. aureus contamination rates and the mean contamination levels of 86 positive samples from bulk tank milk, Tulum cheese, chicken meat and beef carcasses were 10.8% (n:49) and 3.01±0.48 log cfu/ml, 17% (n:17) and 3.08±0.42 log cfu/g, 12% (n:12) and 2.89±0.27 log cfu/g, and 4% (n:8) and 1.28±0.54 log cfu/cm2 , respectively. 39 out of 86 isolates (45.3%) had one or more enterotoxin genes (sea-see, seg-selj, sep). sed was the most common classical enterotoxin gene, whereas sei was the most common new enterotoxin gene. Antimicrobial susceptibility testing against 16 antibiotics performed by VITEK 2 showed that 61 isolates (70.9%) were resistant to various antibiotics. 32.8% of the resistant isolates were multidrug resistant (MDR) and the mean multiple antimicrobial resistance (MAR) index was 0.301. The isolates were mostly resistant to penicillin (63.9%), followed by oxacillin (24.4%), clindamycin (19.7%) and erythromycin (12.7%). mecA was detected in 13 isolates (15.1%), but no mecC was found. It was concluded that most of the S. aureus isolates had enterotoxin genes which might cause foodborne intoxications. The high antibiotic resistance rates observed in these strains, including MRSA, may also result in some public health hazards.