bluuebunny/crossref_metadata_2025 huggingface dataset:
IAs Generativas na Educação: Usos, percepções, desafios e adaptações nas práticas pedagógicas do ponto de vista de professores do ensino fundamental, médio e superior
Authors: Bido Yasmin P. , Wiese Igor , Nakamura Walter T.
Published: November 2024

As Inteligencias Artificiais (IAs) Generativas ganharam notoriedade pela capacidade de responder perguntas e criar conteúdo. Apesar das preocupações quanto aos prejuízos no ensino, as IAs Generativas vêm sendo integradas na educação. Porém, seu impacto nas práticas pedagógicas ainda é uma questão em aberto. Este estudo apresenta um survey sobre o impacto das IAs Generativas na educação do ponto de vista de professores de diferentes áreas e níveis de ensino. Como resultado, obteve-se uma visão geral das principais IAs Generativas adotadas, seus usos e benefícios, bem como adaptações nas práticas pedagógicas. Os desafios identificados abrem perspectivas futuras de soluções que estimulem a adoção mais eficiente destas tecnologias.
Conflito de Estrelas: Adaptando um Jogo Educativo Analógico para o Meio Digital
Authors: Guedes Ulisses Thorwald Moraes , Mello Aline Vieira de
Published: November 2024

Os jogos educacionais são uma excelente alternativa aos métodos tradicionais de ensino e aprendizagem porque são mais agradáveis e engajadores. Este trabalho tem como objetivo apresentar a adaptação de um jogo analógico para o ensino de ciências e astronomia para sua versão digital. Métodos, técnicas e ferramentas da Engenharia de Software foram utilizados em seu desenvolvimento. Adicionalmente, foi realizada uma avaliação de aceitação com a criadora do jogo analógico e com estudantes do sexto ano do ensino fundamental. Os resultados dessa avaliação indicaram que o jogo produzido é útil para o ensino de ciências e astronomia e que a interação dos usuários com o jogo é clara e compreensível.
CLaRiCe: Uma abordagem neural para a correção automática de redações
Authors: Tavares João , Rodrigues Luiz , Dermeval Diego
Published: November 2024

Escrever é uma importante habilidade que adquirimos ao iniciar nossos estudos, sendo utilizada em diversas ocasiões para aquisição, representação, avaliação de conhecimentos, como realizado em meios avaliativos como o ENEM, e entretenimento como no meio literário. Diversos trabalhos anteriores realizaram uma exploração acerca de correção automática de textos dissertativos-argumentativos, mas não chegaram a realizar uma análise e comparação profundas acerca do uso de modelos neurais. A realização de experimentos com a base Extended Essay-BR demonstrou que os modelos convolucionais se sobressaem na tarefa de regressão, atingindo um Erro Absoluto Médio que varia de 15.24 a 21.48 dentre as cinco competências, proporcionando um modelo capaz de realizar uma boa correção simultânea das 5 competências.
Construção dinâmica de modelos de learning analytics explicáveis e justos aplicados ao acompanhamento de estudantes de graduação
Authors: Barbosa Tarcísio , Freitas Nathan , Cavalcanti Lhaíslla , Batista Maria da Conceicao Moraes , Gouveia Roberta , Alves Gabriel
Published: November 2024

Com a crescente utilização da IA em diferentes áreas do conhecimento, urge a adoção de métricas e ferramentas que auxiliem na construção de modelos explicáveis, transparentes e éticos, especialmente no contexto educacional. Assim, não é suficiente que um modelo possua um bom desempenho, mas é necessário saber como o modelo está classificando um indivíduo e identificar possíveis vieses na classificação. Esse trabalho propõe um sistema que auxilia nessa atividade, a fim de identificar o risco de evasão dos estudantes no ensino superior. Os atributos dos discentes são utilizados para construir modelos de classificação explicáveis e justos. Assim, além de gráficos que explicam como o estudante foi classificado, as métricas de desempenho também são apresentadas por grupos como gênero ou raça a fim de identificar vieses algorítmicos.
Jogos educacionais digitais e a inclusão das mulheres na programação: Um mapeamento sistemático
Authors: Yamashita Victoria Tiemi , Vilarinho Luana , Silva Alexya , Feital Mell , Valle Pedro Henrique Dias , Quintela Bárbara De Melo , Oliveira Alessandreia De
Published: November 2024

As mulheres representam a maioria dos graduandos, mas ainda há uma disparidade de gênero na Computação. Diversas iniciativas têm sido propostas para apoiar mulheres durante o ensino básico e superior, incentivando sua entrada e permanência em cursos de Computação. Entre elas, destacam-se os Jogos Educacionais Digitais (JEDs), que se mostram aliados importantes no ensino-aprendizagem de programação, proporcionando uma aprendizagem dinâmica e envolvente. Este estudo apresenta um Mapeamento Sistemático com o objetivo de identificar e analisar JEDs voltados para o ensino de programação e o incentivo à participação feminina na Computação. Os resultados indicam uma escassez de iniciativas especificamente direcionadas às mulheres.
Uma sociedade de companions inteligentes na metaversidade para incrementar a aprendizagem ao longo da vida
Authors: Nóbrega Germana , Pains André , Cruz Fernando
Published: November 2024

Impactos da popularização da Inteligência Artificial (IA) vêm sendo tema de debates sociais, promovidos pela grande mídia ou pela academia. Buscando prover a estudantes universitária/os um acompanhamento personalizado e com especificidade ao longo de sua formação, propõe-se explorar tecnologias capazes de identificar possibilidades e ofertar informações que auxiliem em tomadas de decisão durante a vida acadêmica. A solução proposta, além de backend, relativamente à concepção de companion artificial, prevê ainda frontend em ambiente metaverso, onde uma pessoa-aprendiz poderá ter uma experiência de imersão pelos vários gêmeos digitais de espaços físicos dos campi.
Verantwortung für Europa. Substaatliche Regionen im Mehrebenensystem des Europarates
Authors: Ludwig Andreas N.
Published: November 2024

Die politische Mesoebene der Regionen in der europäischen Einigung wurde lange Zeit vor allem im Kontext der EU analysiert. Der Europarat war jedoch der erste, der substaatlichen Akteuren, zunächst den Kommunen und später den Regionen, eine institutionelle Mitwirkung einräumte und damit ein Mehrebenensystem etablierte. Vor diesem historischen Hintergrund widmet sich der Beitrag drei Aspekten: den Ursprüngen der regionalen Dimension des Europarates, ihrer Entwicklung und institutionellen Ausgestaltung sowie schließlich ihrem gegenwärtigen Stand. Der Europarat erweist sich dabei schon früh als Anwalt der Regionen und der Regionalisierung Europas. Er hat erkannt, dass die regionale Ebene ein entscheidender Faktor für die Demokratie ist. In Anbetracht der gegenwärtigen Herausforderungen für Demokratie, Menschenrechte und Rechtsstaatlichkeit in Europa kommt den Regionen als Teil eines »Europas aller Ebenen« damit eine Schlüsselrolle in der Arbeit des Europarates zu.
Antibacterial Activities of Phytosterol Extracted from Kernels and Fresh Green Hulls of Pistacia vera L., Damghan Varieties
Authors: Kouhnavard Delijan Sajedeh , Chinjoo Negin , Hashemi Elham , Safavi Maliheh , Rezaei Arezou , Mirani Nejad Shefa , Samimiazad Avisha
Published: November 2024

Background: Phytosterols (PSs) are plant-derived steroids known for their health-promoting effects, including anti-obesity, hypoglycemic, antimicrobial, anti-inflammatory, antioxidant, and immunomodulatory properties. Previous studies have demonstrated that ethanolic and hydroalcoholic extracts from various parts of Pistacia vera L. (e.g., leaves and fruit) possess antioxidant properties. The consumption of nuts, including pistachios, appears to contribute to improved intestinal microbial composition. Furthermore, evaluations of key sterols such as campesterol, β-sitosterol, stigmasterol, and epicoprostanol against a range of bacteria have shown notable antibacterial properties. Objectives: This is the first study to report on the antibacterial activities of PSs extracted from the kernel and pistachio green hull (PGH) of three Damghan pistachio cultivars. Methods: The Soxhlet method was employed to extract total PSs from the kernel and PGH of the Abbasali, Akbari, and Khanjari cultivars of Damghan pistachios, sourced from Damghan Gardens. The antibacterial activities of the extracted PSs were tested against Staphylococcus aureus (gram-positive) and Escherichia coli (gram-negative) bacteria in duplicate. Statistical analysis of the antioxidant activity results was conducted using SPSS software (version 27). Results: The extracted PSs showed no antibacterial activity at concentrations ranging from 1.6 to 10,000 mg/mL. Conclusions: In contrast to previous reports, no antibacterial effect was observed for the extracted total PSs. Further investigation is recommended to explore the reasons behind this discrepancy.
Analisis Pembelajaran Matematika Menggunakan Situs Mandiri dalam Mendukung Kurikulum Merdeka di SMK Kehutanan Negeri Makassar
Authors: Suaedy Nurdyanti , Pratiwi Winda
Published: November 2024

Background: The low results of Indonesian students in the 2022 PISA mathematics literacy survey reflect a critical gap in students' mathematical abilities, which may hinder the nation's economic progress. An independent website, developed using Google Sites, was used to teach the material, customized to align with the curriculum and essential learning outcomes. Method: A mixed-methods approach was employed, encompassing both quantitative and qualitative methods. Data collection techniques included interviews with mathematics teachers for qualitative data and questionnaires distributed to students for quantitative data. Following observations, researchers gathered information through semi-structured interviews with both students and teachers. Data validation was conducted through triangulation of sources. Results: The average percentage achieved was 88.94%, categorized as very good. It can be concluded that mathematics learning using an independent website to support the independent curriculum produced excellent results. The study indicated that mathematics learning through an independent website significantly supported the implementation of the Independent Curriculum at Makassar State Forestry Vocational School. Conclusion: The independent website is considered to support student-centered learning objectives. Teachers acknowledged that the site allows students to learn independently, at their own pace and according to their needs. Thus, mathematics learning using an independent website significantly supports the implementation of the Independent Curriculum at Makassar State Forestry Vocational School.
MICROAKIS OF DEMONSTRATION FARMS IN THE CZECH REPUBLIC
Authors:   Institute of Agricultural Economics and Information, Brno, Czech Republic, HRABALOVÁ Andrea , MRNUŠTÍK KONEČNÁ Marta ,   Czech University of Life Sciences Prague, Czech Republic
Published: December 2024

The demonstration activities are considered as the most effective way to transfer knowledge and innovation among farmers. In the Czech Republic, these activities are supported under Measure 9.F.m Demonstration Farms from national sources. The paper focuses on understanding the "microAKIS" (farm-level knowledge networks) of these demonstration farms to identify key types of actors. The research seeks to answer the research question: Where does the demonstration farm get the information it needs? Semi-structured questionnaires were used to collect data and the results of the questionnaire survey were processed using the Social Network Analysis method. The contribution of the paper can be expected at evaluation and practical level. The evaluative contribution is in uncovering the knowledge network of demonstration farms and assessing their ability to provide an environment for the dissemination of innovations in agriculture (Innovation Support Services). The practical contribution is in establishing a relationship with demonstration farms and ideally agreeing on regular collection of information supporting the coordination and development of the Agricultural Knowledge and Innovation System.
SUSTAINABLE RURAL DEVELOPMENT THROUGH LOCAL GASTRONOMIC POINTS
Authors:   „Gheorghe Zane” Institute for Economic and Social Research, Romanian Academy - Iași Branch, Romania, DOBAY Krisztina Melinda , APETROAIE Camelia ,   Iași County Agriculture Directorate
Published: December 2024

Local Gastronomic Points are units represented by private kitchens in the countryside, which can operate in agricultural farms, mixed farms, fish farms, wineries, wine farms, fruit farms, hunting grounds, monasteries, etc., where culinary products are prepared according to recipes specific to the area and served directly to the final consumer. The raw materials come, predominantly, from primary production from peasant household farms or from local producers and from authorised sanitary-veterinary and food safety units in the area. Thus, a multitude of short food chains and more sustainable local agri-food systems are created. Since traditional food depends to a large extent on agriculture, hunting and fishing, the specific development of links with tourism can lead to the stimulation of the activities of local entrepreneurs, at the same time being able to boost the development of communities. Appeared relatively recently, in 2016, at the initiative of Ivan Patzaichin Association – Mila 23, the Local Gastronomic Points began to develop in different rural areas in Romania, reaching a number of 318 units and representing true models of social innovation and sustainable rural development.
THE EVOLUTION OF THE ECONOMIC DIMENSION OF AGRICULTURAL FARMINGS IN ROMANIA
Authors:   Research Institute for the Economy of Agriculture and Rural Development, STOICA Dalila , DUMITRU Eduard Alexandru ,   Research Institute for the Economy of Agriculture and Rural Development
Published: December 2024

This paper presents a general analysis of agricultural holdings in Romania. Thus, in this study, the economic size of the agricultural holding, the utilised agricultural area, the total crop production and the gross farm income were analysed, depending on the size of the agricultural holdings expressed in standard output. In addition, to clearly highlight the existing situation, statistical indicators such as standard deviation, coefficient of variation and growth rate were calculated. The current disparities are significant, and there is no clear evidence that they will be reduced or eliminated, because the structural problems facing Romanian agriculture can only be debated over a long period of time. The data used were extracted from the Farm Accountancy Data Network (FADN), for the period 2007-2021. The obtained results support the fact that the average economic size at the level of agricultural holdings in Romania is relatively stable, as far as this indicator is concerned. At the same time, the utilised agricultural areas have decreased and the total crop production has increased for all types of economic sizes, except for holdings with an economic size between 8,000 and 25,000 EUR.
General approach to the construction of non-contact seals dynamic characteristics
Authors:   Yancheng Polytechnic College, School of intelligent manufacturing, Yancheng 224005, China, HUI Weidong , YAN Guojun ,   Yancheng Polytechnic College, School of intelligent manufacturing, Yancheng 224005, China, SHEVCHENKO Serhii S. ,   Pukhov Institute for Modelling in Energy Engineering, Kyiv, 03164, Ukraine, SHEVCHENKO Maryna S. ,   Sumy State University, Sumy, 40007, Ukraine, HUMENIUK Taras V. ,   12:00:00 AM, BUZOVERIA Nadiia H. ,   Ivano-Frankivsk National Technical University of Oil and Gas, Ivano-Frankivsk 76019, Ukraine
Published: December 2024

Higher parameters of centrifugal machines are constantly required, such as the pressure of the medium to be sealed and the speed of rotation of the shaft. However, as the parameters increase, it becomes more and more difficult to ensure the effectiveness of sealing. In addition, sealing systems affect the overall safety of equipment operation, especially vibration. Non-contact seals are considered as hydrostatic-dynamic bearings that can effectively dampen rotor oscillations. Models of “rotor-gap seals” system and impulse seals have been studied to assess the effect of these seal systems on the oscillatory characteristics of the rotor. Analytical dependencies are obtained for calculating the dynamic characteristics and stability limits of seals as hydromechanical systems. The proposed general technique makes it possible to purposefully select the design parameters of seals to adjust sealing systems to work in vibration-safe modes due to a targeted increase in the rigidity of non-contact seals are determined. It leads to an increase in the vibration resistance of the centrifugal machine’s rotor. Comparison of the results of calculations of frequency characteristics according to the obtained expressions with the data of experimental studies showed that the calculation errors do not exceed 5%, which allows using for practice the obtained dependencies in the calculation and design of centrifugal machines sealing systems with sufficient accuracy.
First record of Theridiosoma gemmosum (Araneae, Theridiosomatidae) in the Romanian fauna
Authors:   “Emile Racovitza” Institute of Speleology, NAE AUGUSTIN
Published: December 2024

The Araneae species Theridiosoma gemmosum is cited for the first time in Romanian fauna. Also, the genus Theridiosoma and Theridiosomatidae family are new recorded for Romanian fauna. The original illustrations contribute to a better knowledge regarding morphological characterization of the species. The currently known distribution of this species is also given.
Trachelipus razzauti (Arcangeli, 1913) (Crustacea: Isopoda: Oniscidea) and Typhloiulus serborum Ćurčić & Makarov, 2005 (Myriapoda: Diplopoda) – new species for the Romanian fauna
Authors:   “Emile Racovitza” Institute of Speleology, GIURGINCA ANDREI
Published: December 2024

A new species of Oniscidea, Trachelipus razzauti and a new species and Diplopoda, Typhloiulus serborum, are recorded for the first time for the Romanian fauna. Both species have been “discovered” in the collection of the “Emile Racovitza” Institute of Speleology.
Call for Proposals: TV Matters
Authors:   CSTonline
Published: December 2024

Editor: Sabrina Mittermeier View the full call here >> https://intellectbooks.com/tv-matters TV Matters is a new series of short monographs (40,000 to 50,000 words) on television series, analysing their production history, cultural context, main themes, as well as fandom and audience reception. The focus is on shows that both have critical acclaim (as reflected by awards, media reviews), but more importantly, are genuinely ‘popular’.
Building exposure model for seismic risk assessment of the city of Strumica
Authors: Angova-Kolevska Nadica , Vitanova Marija
Published: November 2024

Seismic risk assessment at the city scale has always been useful for pre-earthquake planning, managing future investments, and prioritizing the seismic repair and retrofit of existing buildings immediately after the earthquake. It is carried out by combining hazard, exposure, and vulnerability models. Exposure in this context, refers to the elements at risk: population, buildings, lifeline systems, or socioeconomic activities. Risk assessment analysis for different regions and cities worldwide shows that exposure and vulnerability are key elements for effective risk assessment. This paper provides an inside into the development of an exposure model of Strumica, North Macedonia, that describes the distribution of Strumica's main residential, industrial, and commercial building classes. The exposure database consisting of the existing building inventory is created using the international standard taxonomy for earthquake risk assessment, proposed by the Global Earthquake Model. This exposure model points out problems and concerns brought about by the implementation process and details the practical solutions and strategies used to achieve the set goals. The long-term expectation is that this exposure model will allow updating existing plans for emergencies, crises, and disasters, allowing city planners to include seismic risk assessment analyses that contain real data to encourage future risk reduction strategies.
Etymologico-etiological assumptions of the galant style
Authors: Mijatović Tanja
Published: November 2024

This paper aims to highlight certain issues that arise when discussing the origins and developmental stages of the galant style, as well as the significance and status this style holds within the history of music. This will be achieved by consulting selected and predominantly Anglophone musico-theoretical and musicological literature. Special attention in this paper will be given to the writings of Charles Rosen, Leonard G. Ratner, William Newman, and David Sheldon. In addition to presenting and confronting the opinions of various authors and questioning the validity of their arguments regarding the position of the galant style in the periodization of music history, the paper will provide a special review of the problem of understanding the stylistic matrix of the galant style and its aesthetic paradigm from two perspectives: 1) based on the analysis of the semantic nuances of the term galant and 2) by indicating the (possible) origin of the galant style.
Ilusion(s) interrupted: Performing I'illusion comique in the Yugoslav Drama Theatre (1991)
Authors: Obradović Ognjen
Published: November 2024

At a time when inter-ethnic conflicts in the Socialist Federative Republic of Yugoslavia began to escalate, Slobodan Unkovski directed Pierre Corneille's L'Illusion comique. The baroque interplay between reality and fiction, integral to the text was heightened in the performance through a series of (un)expected twists. Unkovski's L'Illusion comique was, throughout, an example of theatrical denial, yet at the very end, its abstract chronotope was unequivocally shattered by the use of familiar sounds from factual reality. The intertwining of reality and fiction took on an additional layer when the play was performed at Bitef in September 1991, largerly due to Mira Furlan's portrayal of the princess Isabelle. The actress' haunted body, "ghosts", became the primary generator of meaning in the performance, which encompassed both the personal drama of Mira Furlan and the broader drama that, by its very name, evoked Yugoslavia.
Documentary fiction: A comparative analysis of directorial approaches in Želimir Žilnik's 'Brooklyn-Gusinje' and Abbas Kiarostami's 'Close-Up'
Authors: Šabotić Sead
Published: November 2024

This paper conducts a comparative analysis of two films by internationally renowned directors made within just a few years of each other - Brooklyn-Gusinje by Serbian filmmaker Želimir Žilnik and Close-Up by Iranian director Abbas Kiarostami. Despite originating from different continents and cultures, these two films share a series of nearly identical directorial approaches, presenting stories where authentic documentary footage resembles fictional form, while the fictional elements in both films appear as documentary records. By analyzing both films, this paper will examine the fundamental principles of the authentic genre known as docudrama (docufiction) through comparative analysis. The initial hypothesis is that documentary film is not an imitation of reality but a creative depiction in the broadest sense of the term. Additionally, the paper suggests that these two directors have brought this genre to its most mature phase, often seen in contemporary documentary trends with slight deviations from their approaches.
Higher education policy in the visual arts: Between tacit knowledge and the power of algorithms
Authors: Glišić-Matović Jelena
Published: November 2024

This article explores the development of higher education in the visual arts, examining the balance between tacit knowledge deeply embedded in the historical fabric of the visual arts and the transformative impact of algorithms in the contemporary digital environment. Recognizing algorithms as new "carriers" of knowledge and a kind of "student," the influence of this digital transformation on the traditional educational framework is scrutinized. Originally a philosophical concept perfected in organizational sciences, tacit knowledge is recognized as fundamental to artistic processes and is transferred through "apprenticeship" or studio interaction. Articulating the transfer of tacit knowledge plays a crucial role in advancing higher education policies in the visual arts. The research extends to the epistemological potential found in artistic doctoral research at faculties of visual arts in Serbia, serving as a rich resource for understanding and further developing the dynamic interaction between art and technology. The article navigates relevant theories that illuminate the shifting dynamics in art education and provides insights into how higher education policies in the visual arts adapt to the challenges of the algorithmic age. Using practical examples, the complexity inherent in this intersection is explored, and conclusions are formulated, predicting possible future development paths in this field. The aim is to encourage understanding and formulation of educational policies needed to prepare artists for an environment where the derivation and transfer of tacit knowledge, art as research, algorithmic power, and creativity coexist.
Coopetition in business relationships: Validation and improvement of the coopetitive paradox model
Authors: Díaz-Cueva Jimmy Gabriel , Sánchez-Rodríguez Alexander Bation , Iozzeli-Valarezo Mariana Malvina , Fernández-Ochoa Yandi
Published: November 2024

The purpose of this study was to validate the conceptual model of the coopetitive paradox proposed by Gnyawali et al.[1] This qualitative study, using grounded theory, involved 54 executives from 25 companies from Ecuador’s agriculture sector. The results validated and complemented the conceptual model of the coopetition paradox, filling up important knowledge gaps related to the sources of the dualities and contradictions that drive the paradoxical coopetitive situations in an inter-company network. New findings indicate that the willingness of firms for collaborate with competitors is influenced by the competitive position, the emphasis on the strategic development of the sector, and the interest in long-term sustainability, inferring that an individualistic business culture that emphasizes competitiveness significantly limits the drive for coopetitive strategies. It was also found that the ability to identify and manage sources of tension in coopetitive relationships is determined by the structure of managerial thinking in top managers. As a result of this study, 13 new tentative propositions were incorporated into the theoretical model. This represents an important contribution on strategic management by highlighting the meaning of coopetition to increase the perceived value of customers and the network, even in the presence of conflicts, rivalries and divergent interests.
Play to learn: Exploring the impact of fun english classes on the literacy skills of elementary learners
Authors: Gelizon Mary Joy B.
Published: November 2024

Developing literacy skills at an early age is essential for the overall cognitive, social, and emotional growth of children, as it forms the foundation for their academic success and lifelong learning. Early exposure to literature enhances language development by expanding vocabulary, improving comprehension, and promoting critical thinking. This qualitative exploratory paper described different strategies that elementary teachers implement in fun English classes. This study examined the impacts of fun-based teaching strategies in developing the literacy skills of elementary students, focusing on how these strategies contributed to the development of key language competencies, specifically writing and speaking skills. Elementary teachers (n=12) were purposively sampled to be interviewed. Elementary teachers observed that fun English lessons significantly increased student engagement in both writing and speaking activities. Students were interactive, less fearful of making mistakes, and demonstrated greater enthusiasm and participation. Activities such as storytelling, roleplaying, and creative writing encouraged students to express themselves more freely and confidently. Teachers observed improvements in sentence construction, use of vocabulary, and overall expressiveness, particularly among shy students who became more comfortable speaking in front of others. The study also identified three specific strategies—gamification, group work, and roleplaying—that were effective in enhancing literacy. Teachers used games to build vocabulary and grammar skills, group activities to encourage brainstorming and discussion, and role-playing to promote speaking and creative writing. These strategies created a dynamic learning environment that supported both language learning and personal development. Consequently, teachers are encouraged to embrace dynamic and student-centered approaches to create an engaging English learning environment. Fun-based learning strategies should be intentionally designed to support both receptive and productive language skills, providing students with opportunities to practice English in context.
Automated Cardiovascular Disease Diagnosis Usin Honey Badger Optimization with Modified Deep Learning Model
Authors: V Shoba , G Z Mustafa Khan , S K Senthil Kumar , S Tilak Kumar , Khan Taheer
Published: November 2024

The leading cause of death among people around the world is cardiovascular disease (CVD). In order to prevent patients from other damages, precise diagnostics of CVD on time is a crucial factor. Researcher workers are inspired to apply machine learning (ML) for accurate and quick diagnosis of CVD. ML algorithm extracts patterns and hidden relationships in the medical dataset for detecting or predicting disease development. But the prediction of CVD is a challenging task. The increasing size of healthcare dataset has made it a complex task for practitioners to make disease predictions and understand the feature relations. This study develops an Automated Cardiovascular Disease Diagnosis using Honey Badger Optimization with Modified Deep Learning (ACVD HBOMDL) Model. The major aim of the ACVD HBOMDL technique lies in the classification of CVD using feature selection (FS) and hyperparameter tuning strategies. Initially, the ACVD HBOMDL technique applies min max scaler to preprocess the medical data. To elect an optimal subset of features, the HBO algorithm is used in this work. For CVD classification, deep learning modified neural network (DLMNN) classifier is used and its hyperparameters can be optimally chosen by Bayesian optimization. The experimental results of the ACVD HBOMDL technique can be tested on benchmark medical dataset and the obtained results demonstrate the significant outcomes of the ACVD HBOMDL technique over other existing techniques.
Predictive Modelling for Diabetes: A Support Vector Machine Approach
Authors: R Hemanth , V Tushar , Karnam Suchit , Kamath Shravani G , K V Pallavi
Published: November 2024

A chronic disorder that affects blood glucose levels, diabetes mellitus is caused by either cellular resistance or inadequate insulin and can lead to problems such as renal and heart disease. Support Vector Machines (SVM) are investigated in this work for the prediction of diabetes, with an emphasis on clinical application, model validation, and performance measures. SVM exhibits good prediction capabilities when used with feature selection methods like PCA and kernel functions like RBF. The performance of hybrid models, such GA SVM, is further improved. SVM’s ability to classify high dimensional data offers promise for early diabetes detection; nonetheless, regularization and data imbalance management need to be improved.
Fire Fighting Robot
Authors: M S Karthik , S Gagan , L Yashwanth , M Uday kiran , R Gunasekari
Published: November 2024

This project develops an autonomous firefighting robot to improve safety and efficiency in fire suppression. Equipped with sensors for detecting flames, smoke, temperature, and gas, the robot can locate fires in complex environments. It uses advanced navigation algorithms to move through obstacles and reach fire sources. A robust mechanical platform ensures stability, while a high pressure water pump and controlled nozzle effectively extinguish flames. A thermal imaging camera enhances situational awareness. Testing shows the robot’s effectiveness in detecting and extinguishing fires, contributing to safer firefighting operations in hazardous conditions. Built on a robust mechanical platform, the robot offers the stability needed to operate in challenging conditions. Its firefighting system includes a high pressure water pump and a precisely controlled nozzle for effective flame extinguishment. To further enhance firefighting capabilities, the robot is equipped with a thermal imaging camera, providing real time fire assessment and situational awareness. A user friendly control interface enables remote monitoring and manual operation, giving firefighters critical data and the ability to intervene if needed. Safety is a top priority, with features like emergency stop mechanisms, redundant systems, and reliable communication links ensuring dependable operation in critical conditions. Extensive testing and simulations have assessed the robot’s performance in various fire scenarios, proving its effectiveness in detecting, locating, and extinguishing fires while minimizing risks to human life. This project contributes to advancements in firefighting technology by offering a versatile.
Wheat Yield Prediction Models: A Review of Methodologies and Influencing Factors
Authors: NK Shri Lakshmi , PS Supritha , KN Tanuja
Published: November 2024

It is necessary to look at wheat productivity in the light of global food security, optimal utilization of inputs and formulating policies in view of the prevailing conditions. The present paper deals with advanced understanding of wheat yield forecasting through the use of process based crop models, machine algorithms and their hybrid approaches. This study considers the benefits and limitations of these forecasting methods in terms of climate change, soil characteristics or even self–forecasting. The review aims at enhancing effective yield prediction and in the process pinpoint areas which have not been covered in the existing literature for further investigation.
Ml Driven Multimodal Skin Disease Detection and Monitoring
Authors: A Sugana , S Deepa , K C Jyothi Swaroop , V Jyothsna , Kammar Kiran B
Published: November 2024

The VGG 16 model is a convolutional neural network (CNN) architecture proposed by the Visual Geometry Group (VGG) at the University of Oxford. It is characterized by its depth, consisting of 16 layers, including 13 convolutional layers and 3 fully connected layers. VGG 16 is known for its simplicity and effectiveness, as well as its ability to achieve strong performance on various computer vision tasks, including image classification and object recognition. The model’s architecture features a stack of convolutional layers followed by max pooling layers, with progressively increasing depth. This design allows the model to recognize and understand complex visual features, resulting in highly accurate predictions. In the context of skin disease detection, VGG 16 has demonstrated notable success in accurately classifying and identifying dermatological conditions from medical images. The model uses a powerful technique to identify detailed visual features like texture and colour differences in skin images, which helps it accurately diagnose skin diseases, even those that are difficult to detect with the naked eye. The model can differentiate between various skin conditions like melanoma, skin cancer, and eczema, making it a valuable tool for doctors to diagnose skin diseases accurately. This can help in early detection, which is crucial for effective treatment. When trained on large, datasets of skin images, VGG 16 can provide high diagnostic accuracy, thus enhancing early detection and facilitating timely medical intervention in dermatology.
Learning App for Deaf- Mute using Sign Language English/Gujarati Converter
Authors: V Harinee Devi , S Anusha , M Ankitha , R Ishwarya , M Kaviya
Published: November 2024

This cutting edge learning application is fastidiously created to upgrade correspondence for people who are hard of hearing, quiet, or keen on dominating communication via gestures. It offers consistent interpretation between English text and Gujarati gesture based communication, tending to the basic requirement for open bilingual learning devices. The application incorporates a broad library of signs, each with itemized portrayals and visual guides, empowering clients to learn at their own speed. Intelligent illustrations and tests guarantee a connecting with and vivid opportunity for growth. Also, the application includes continuous interpretation abilities, making ordinary associations smoother and more instinctive. Utilizing progressed computerized reasoning and AI innovations, the application constantly adjusts to the client’s advancement and inclinations, giving a profoundly customized learning venture. This versatile learning model lifts effectiveness as well as keeps clients inspired by following their upgrades and recommending regions for additional training. The applications easy to understand connection point is planned in view of openness, guaranteeing that even those with restricted specialized abilities can explore and use all elements effortlessly.
A Novel Framework for Prevention of Rice Plant Disease Using Deep Learning
Authors: Thennarangam Balaji
Published: November 2024

Agriculture is the backbone of our country. Due to climate change and pollution, yield of rice plant are decreased in the past decades. Farmers are not having sufficient awareness for their plant and cultivation. We proposed a novel disease predication system for rice plant with Normal, Bacterial Leaf, Brown Spot, Leaf Smut, Sheath Blight parameters. We have collected 1000 dataset from different rice plants and implemented with our proposed architecture. We are trying to inculcate deep neural networks and artificial intelligence technologies to investigate the rice plants for disease prediction. In this simulation we analyzed VGG 16, Xception, Inception, ResNet, Hill Climbing ResNet, Modified Hill climbing ResNet, CS ResNet and CS MHC ResNet algorithms. Eventually we got the high accuracy CS MHC ResNet algorithm.
Ingredient Detection and Recipe Recommendation Using Deep Learning
Authors: P Divya Bharathi , Harish Gobburu , R Guna , R Hemanth , B Madhusudan
Published: November 2024

In response to the hectic pace of modern life, there’s a growing need for a smartphone web app that streamlines meal preparation. Our project aims to address this need by developing a sophisticated recipe recommendation system powered by technologies such as computer vision and machine learning. The primary objective is to simplify the culinary experience for users who often find themselves uncertain about what to cook with the ingredients they have on hand. By leveraging computer vision techniques, our system can accurately identify the ingredients available to the user. This information is then processed using machine learning algorithms to generate tailored recipe suggestions. This approach eliminates the need for extensive meal planning or manual recipe searches, saving users valuable time and effort. To tackle this, we prepared an ingredient dataset containing image 12,558 images across 15 food ingredient classes. The YOLOv8 object detection model was used to detect and classify food ingredients. Additionally, the recommendation system was built using machine learning. In the end, we achieved an accuracy of 96%, which is quite impressive.
Patient Management System PMS
Authors: V Thanuj , S Sanjay , B Shashank , A Mahesh
Published: November 2024

Observing the problems of patients waiting in the queue for hours and sometimes not able to get an appointment with the doctor ,the idea of PMS(Patient management system) can address this issue and solve it with an help of an pre booking application where the patients can book an consultancy with their respective doctor with the respective time slots allotted in the application ,the idea proposes the use of Digital pass(Also called as EMERGENCY PASS (EP) ) with an uniquely integrated QR code, these will allow the patients to skip the waiting time and visit the doctor within a short period of time , the patients will be allotted with a limited no of slots who book on the application , so it does not interfere with the general appointment in the hospital’s reception. With the help of this application doctors will be notified that how many number of patients has arrived at the hospital and proceed with the consultation.
Arduino UNO-Based Earthquake Detection System (AUEDS)
Authors: R Sneha , R N Nachiketan
Published: November 2024

This research presents the design, development, and implementation of an Arduino UNO based Earthquake Detection System (AUEDS), specifically engineered for early seismic detection and real time alerting. The objective of this study is to construct a low cost, deployable prototype capable of monitoring seismic activity by detecting ground accelerations and distinguishing earthquake tremors from environmental noise. The AUEDS integrates an MPU6050 accelerometer with an Arduino UNO microcontroller, leveraging real time processing to classify and respond to seismic signals. Testing indicates that the AUEDS reliably detects ground movements within a defined threshold, accurately generating alerts through a GSM module to notify relevant stakeholders. This study contributes a scalable and affordable solution for earthquake monitoring in vulnerable and resource constrained areas, underscoring the practicality of microcontroller based monitoring systems for disaster preparedness and mitigation.
IMPLEMENTASI SOLAR HOME SYSTEM DAERAH TAMBAK IKAN KECAMATAN MALILI KABUPATEN LUWU TIMUR
Authors: Firdaus Firdaus , Haripuddin Haripuddin , Najamuddin Najamuddin , Muchtar Akhyar , Yantahin Muliaty
Published: November 2024

Penelitian ini dilakukan untuk mengaplikasikan Solar Home System (SHS) pada rumah-rumah di Daerah Tambak Ikan Kecamatan Malili Kabupaten Luwu Timur Provinsi Sulawesi Selatan dengan metode penelitian yang dilakukan adalah metode penelitian deskriptif kuantitatif. Tujuan penelitian ini adalah untuk mengetahui dampak SHS, efektifitas SHS, dan tanggapan masyarakat pada rumah-rumah di Daerah Tambak Ikan Kecamatan Malili Kabupaten Luwu Timur Provinsi Sulawesi Selatan. Variabel penelitian ini adalah variabel tunggal yaitu Solar Home System. Pupulasi penelitian ini adalah 140 orang nelayan tambak Kecamatan Malili dengan sampel 28 orang. Data hasil penelitian didapatkan dengan analisis data observasi untuk keluaran sel surya dan kuesioner untuk angket yang dibagikan. Hasil penelitian menunjukkan bahwa; (1) Dampak SHS sangat tinggi yaitu dengan aspek kegunaan sebesar 82,29%. (2) SHS terbukti efektif dengan nilai efisiensi 29% yang dimana melebihi standar 12% - 19% dan kemampuan beban SHS dalam menarik beban lebih besar dari pada penggunaan beban rutinitas rumah-rumah di Daerah Tambak Ikan. (3) Tanggapan masyarakat terhadap SHS sangat tinggi yaitu pada aspek kemudahan pengguna sebesar 82,14% dan aspek kepuasan pengguna sebesar 92,28%.
PERBAIKAN PROFIL TEGANGAN DAN RUGI-RUGI DAYA DENGAN PENEMPATAN MULTI DG SECARA OPTIMAL BERBASIS ARTIFICIAL INTELLIGENCE
Authors: Ratuhaji Faruq , Takdir Muslihi Muhammad
Published: November 2024

Penelitian ini bertujuan untuk memberikan perhitungan deskriptif dalam menentukan lokasi pemasangan dan kapasitas Distributed Generation (DG) secara optimal sebagai kompensasi daya aktif dan reaktif pada sistem tenaga listrik, sehingga dapat meningkatkan efisiensi dan keandalan sistem tenaga listrik. Menggunakan metode optimasi metaheuristics berbasis kecerdasan buatan (Artificial Intelegence) yang diolah menggunakan software MATLAB, dengan membandingkan rugi-rugi daya (losses) dan level tegangan yang diperoleh sebelum dan setelah pemasangan DG dalam beberapa studi kasus pada sistem IEEE 12 Bus. Hasil pengujian menunjukkan kondisi paling optimal penempatan dan kapasitas multi-DG tipe 1 pada sistem IEEE 12 bus, yakni berada pada bus 4, bus 10 dan bus 7 dengan kapasitas masing-masing 86, 318 kW, 136,37 kW, 131,63 kW. Dampak yang diakibatkan dari penempatan tiga unit DG tipe 1 ini adalah penurunan rugi daya aktif dari 20,545 kW menjadi 9,372 kW atau sebesar 54,38%, selain itu beberapa bus pada sistem mengalami perbaikan profil tegangan terlihat dari deviasi minimum tegangan turun dari 5,63% sebelum pemasangan DG menjadi 1,34%.
Filsafat Kehidupan Pelaut: Memahami Keseimbangan antara Teknologi dan Spiritualitas di Era 5.0
Authors: Sumartono Eddy
Published: November 2024

Penelitian ini mengeksplorasi dinamika keseimbangan antara teknologi dan spiritualitas dalam kehidupan pelaut di era Society 5.0, dengan fokus pada tiga variabel utama: keseimbangan teknologi-spiritualitas, dampak psikologis, dan adaptasi sosial. Menggunakan pendekatan kualitatif fenomenologi hermeneutik, penelitian melibatkan 15 partisipan yang terdiri dari nahkoda, perwira, dan awak kapal, dengan pengalaman pelayaran 5-25 tahun. Data dikumpulkan melalui wawancara mendalam, observasi partisipatif, dan analisis dokumen. Hasil penelitian menunjukkan dominasi pola integrasi parsial (7 dari 15 partisipan) dalam mengadopsi teknologi sambil mempertahankan praktik spiritual. Tingkat resiliensi tinggi (8.1/10) mengindikasikan kapasitas adaptasi yang baik, meskipun terdapat tantangan psikologis signifikan dengan tingkat stress mencapai 7.2/10. Transformasi praktik spiritual menunjukkan evolusi adaptif, dengan pengembangan pendekatan hybrid yang mengintegrasikan elemen tradisional dan digital. Strategi adaptasi sosial menunjukkan efektivitas tinggi dalam aspek dukungan sosial (8.5/10) dan komunikasi interpersonal (8.3/10). Penelitian menghasilkan rekomendasi untuk pengembangan program pelatihan integratif dan pembentukan infrastruktur digital yang mendukung keseimbangan teknologi-spiritualitas dalam industri maritim.
A comparison of the Information Content of Orthogonally Polarized Components of Lidar Echo Signal for Evaluating Hydrooptical Characteristics of the Near-Surface Layer
Authors: Glukhov V. A. , Goldin Yu. A. , Glitko O. V. , Glukhovets D. I. , Rodionov M. A.
Published: December 2024

A series of lidar measurements were conducted at stations with a homogeneous vertical distribution of hydrooptical char acteristics in the near-surface layer using a two-channel shipborne polarization lidar PLD-1. Lidar sounding was accompanied by synchronous contact measurements of a number of hydrooptical characteristics. A large dataset of measurement data was obtained in waters where hydrooptical characteristics varied widely. As a result of the statistical processing of these data, regression relationships were obtained linking the seawater beam attenuation coefficient c, absorption coefficient a, and diffuse attenuation coefficient Kd to the lidar attenuation coefficients of the co- and cross-polarized components. In most cases, a linear relationship between hydrooptical characteristics and the lidar attenuation coefficients of the polarized components is observed. These rela tionships are characterized by high values of the coefficient of determination — from 0.8 to 0.95. An exception is the relationship between the seawater beam attenuation coefficient c and the lidar attenuation coefficient of the cross-polarized component, where a second-degree polynomial is used to describe this relationship (coefficient of determination is 0.88). Data on the hydrooptical characteristics obtained using the cross-polarized component of the lidar echo signal mostly duplicate the data of the co-polarized component. However, the use of a two-channel optical receiving system increases the reliability and accuracy of the obtained data and provides the possibility of controlling the homogeneity of the underwater section of the sounding path.