bluuebunny/crossref_metadata_2025 huggingface dataset:
Eye-tracking Experiment of Agenda Setting Function on TouTiao APP
Authors: Yali Qiang
Published: January 2025

Building upon the profound influence of traditional media on public agendas through agenda setting, this study focuses on how the widespread penetration of AI technology reshapes the landscape of news dissemination within the rapidly evolving media ecosystem. Specifically, with the emergence of novel news media platforms like China's Toutiao APP, these platforms, armed with data-driven content distribution mechanisms, challenge the traditional sender-centric information transmission model. Against this backdrop, this research aims to explore whether agenda setting retains its effectiveness and influence in the era of AI-driven news. To validate this inquiry, this study adopts a comprehensive empirical research methodology, integrating eye-tracking technology with questionnaire surveys, to delve into audience reading behavior patterns under the influence of AI recommendation algorithms. Specifically, by selecting China's Toutiao APP as the experimental material, this study manipulates the order of news items displayed on the interface (top versus bottom), meticulously observing and recording participants' reading attention allocation, comprehension depth, and memory retention, thereby scientifically assessing the effectiveness and underlying mechanisms of agenda setting in an AI-news environment. This research not only enriches the application boundaries of agenda setting theory in the digital age but also provides empirical evidence for understanding the profound impact of AI technology in the field of news dissemination. It holds significant implications for guiding future news media strategy formulation, optimizing user experience, and promoting the healthy development of the media ecosystem.
Identification of Abnormal Bidding Behavior Types of Power Suppliers in Electricity Market Based on Multiple Isolated Forests
Authors: Yu Jiang
Published: January 2025

With the steady development of the electricity market, China's electricity market is increasingly showing a large-scale, multi-agent and other characteristics. There are many types of market violation risks and it is difficult to prevent them. Aiming at all kinds of violations in the electricity market, in order to ensure fair competition in the market and prevent and resolve market risks caused by abnormal bidding behaviors in the market, this paper proposes a method for identifying the types of abnormal bidding behaviors of power producers in the electricity market based on multiple isolated forests. Based on the identification index of multi-dimensional abnormal bidding behavior type proposed in this paper, this method first encodes the characteristics of different types of abnormal behavior in the market bidding process, and establishes the numerical characteristic table of abnormal behavior. Secondly, the multiple isolated forest algorithm proposed and constructed in this paper is used to identify the types of potential abnormal behaviors in the bidding process of e-commerce. The example part takes the actual bidding data of a power producer in the US PJM spot market as the research object for anomaly identification and analysis verification. The example results show that the method can effectively identify the abnormal bidding behavior types of the power producer in the market, verify the effectiveness of the method, provide decision support for market supervision, and help the power market run healthily and smoothly.
Research on Prediction of College Students' Registration Based on Machine Learning and Voting Model
Authors: Lei Yang
Published: January 2025

The registration rate of freshmen has always been a major concern for many colleges and universities, especially private ones. The author of this paper collects and completes a dataset of freshmen registration and uses various machine learning algorithms, including decision tree, random forest, and BP neural network, to learn from it. The author introduces the confusion matrix and F1 score to evaluate the effect of machine learning. A voting model based on multiple machine learning algorithms is designed to optimize prediction and the effectiveness of this scheme is verified through numerous experiments. The experimental results also reveal the factors affecting the registration of college freshmen, which has certain guiding significance for the enrollment of colleges and universities. 75% of the data is used as the training set and 25% as the test set. The data is preprocessed to make it standardized and complete. The results show that the performance of the voting model is significantly improved compared to a single algorithm, and the prediction accuracy of freshmen registration is maintained at more than 60%, with the F1 score reaching 0.7.
Spatial distribution Pattern and Influencing Factors of Fujian Manufacturing Industry in Southeastern China: An Empirical Study Based on the Negative Binomial Regression Model
Authors: Qing Ye
Published: January 2025

Introduction: The manufacturing industry is an important component of urban economy, and its spatial configuration profoundly influences its urban planning, infrastructure development, resource allocation, and sustainable development. A scientific industrial layout can effectively promote the growth, transformation, and upgrading of regional economies.
Objectives: Based on data for manufacturing enterprises in Fujian Province spanning 2009–2021, this study explores the spatial distribution patterns of general and innovative manufacturing enterprises at different scales and the factors affecting their spatial distribution.
Methods: we conduct spatial statistical analysis using standard deviation ellipse, spatial autocorrelation, kernel density, and negative binomial regression.
Results: 1) The spatial distribution of manufacturing enterprises is uneven, mainly distributed along coastal urban belt centered on Ningde, Fuzhou, Quanzhou, Xiamen, and Zhangzhou. General manufacturing has been centered on Quanzhou–Xiamen, while innovative manufacturing centers have shifted from Xiamen to Quanzhou. 2) There are significant spatial agglomeration characteristics, forming two core hotspot areas of Xiamen–Zhangzhou–Quanzhou and Fuzhou. However, innovative manufacturing enterprises exhibit stronger polarization and diffusion phenomena. 3) The spatial pattern evolves from a “point-axis” pattern to a “point-cluster belt” pattern, with stronger spillover effects observed for innovative manufacturing enterprises. 4) The factors affecting the spatial pattern of manufacturing enterprises in Fujian Province show significant changes. Among them, regional distance to ports, industrialization level, financial support strength, transportation accessibility, and population size have significant effects. But the coefficient of distance to ports decreases sharply, external development level changes from having a significant positive effect to not have an effect. Furthermore, patent R&D and the number of economic development zones have more significant effects on innovative manufacturing enterprises.
Conclusions: Compared to other coastal provinces in eastern China, Fujian Province's manufacturing industry is more concentrated in coastal areas, and with the industrial transformation and upgrading, the demand for high-quality workers is increasingly strong. Fujian Province should further integrate into the global industrial chain, strengthen industrial clusters, accelerate the cultivation of high-quality talents, thereby promoting high-quality development of the manufacturing industry.
A Comprehensive Score Prediction Method for College Students Based on Multi Model Fusion
Authors: Ance Zhao
Published: January 2025

The rapid development of information and artificial intelligence technologies has brought new opportunities for innovation and transformation to higher education. The integration of these technologies with higher education teaching has led to innovative applications of data-driven decision support in teaching. This paper analyzes the characteristics of various machine learning models, comprehensively utilizes the strengths of each model, constructs a stacking model, and optimizes the model through Bayesian hyperparameter optimization to achieve accurate prediction of comprehensive grades for college students. The academic performance of students in a specific major in Central China is used as experimental data for model validation, achieving ideal predictive results. This method is characterized by a minimal feature set, high predictive accuracy, and strong stability. The comprehensive score prediction model, constructed through analysis of a selected specialty collection, holds significant guidance value in assisting teaching and research departments with curriculum and subject development.
A New Isocratic RP-HPLC Assay Method Development and Validation of Febuxostat in Tablet Dosage Form
Authors: Mahadeo Bhagwat Avinash , Vitthal Awaghade Pratiksha , Jayprakash Katte Atisha , Dayanand Naikawadi Nishigandha
Published: January 2025

Febuxostat is a selective inhibitor of xanthine oxidase that is used to treat hyperuricemia in gout patients. For the determination of Febuxostat, an isocratic liquid chromatographic technique RP-HPLC was devised and validated. By using phosphate buffer (pH 3.0): methanol: acetonitrile (40:20:40, v/v) as a Mobile phase and 1.0 mL/min flow rate at room temperature, chromatographic separation was obtained on a (4.6 x 150mm 3.5um Agilent XBD) C18 column. The injection capacity is 20 liters, and the run time is 7 minutes. The wavelength of detection is set to 317nm. The linear correlation coefficient (R2) was found to be 1.000, with a -0.0035 percent y intercept. The detection limit was determined to be 0.0056ppm while the quantification limit was found to be 0.018ppm. Febuxostat was proven to be 99.85% pure. The requirements for repeatability and precision have been met. For the determination of Febuxostat in pharmaceutical dosage forms, the approach is simple, specific, precise, durable, and accurate (tablets).
25 Years of Progress: Key Takeaways from the 2024 IKCS
Authors:   Texas Tech University Health Science Center, School of Medicine Lubbock, Texas 79415, Hutson Thomas
Published: January 2025

The recent 2024 International Kidney
Cancer Symposium (IKCS) marked its
25th anniversary, a significant milestone
in its journey of fostering collaboration
and innovation in the fight against kidney
cancer. The symposium showcased a wealth
of groundbreaking research and clinical advancements,
offering fresh perspectives on
the evolving landscape of kidney cancer. From
novel therapeutic approaches to improved
prognostic markers, the event highlighted the
relentless pursuit of better outcomes for patients
with this challenging disease.
piRNAs and PIWI-Like Proteins in Renal Cell Carcinoma: A Systematic Review of Emerging Biomarkers and Potential Therapeutic Targets
Authors: Reyes Jheremy , Sánchez Iris , Picón Laura , Montoya Maria
Published: January 2025

BACKGROUND: Renal cell carcinoma (RCC) is the most common
kidney malignancy, often associated with poor prognosis due to
late-stage diagnosis and metastasis. Recent research has identified
PIWI-interacting RNAs (piRNAs) and PIWI-like proteins as
potential biomarkers and therapeutic targets in cancer, including
RCC. This systematic review aims to evaluate the role of piRNAs
and PIWI-like proteins in RCC pathogenesis, prognosis, and
treatment.
METHODS: A systematic search of PubMed and ScienceDirect
databases from 2014 to 2024 was conducted according to PRISMA
guidelines. Eligible studies included randomized controlled trials,
cohort studies, and case-control studies investigating piRNAs and
PIWI-like proteins in RCC. A total of 13 studies were included,
with the quality of studies assessed using the Newcastle-Ottawa
Scale.
RESULTS: Several piRNAs, such as piR-1742, piR-31115, and
piR-57125, were found to be dysregulated in RCC, contributing
to tumor proliferation, invasion, and metastasis through pathways
like PI3K/AKT and epithelial-mesenchymal transition (EMT).
PIWI-like proteins, particularly Piwi-like 1, were associated with
advanced tumor stages and poor survival outcomes, making them
significant prognostic markers. Mitochondrial piRNAs, including
piR-34536 and piR-51810, were identified as novel biomarkers
for RCC prognosis.
CONCLUSION: piRNAs and PIWI-like proteins show great
promise as emerging diagnostic and prognostic biomarkers, as
well as therapeutic targets in RCC. While these molecules have
demonstrated potential in RCC management, further research
is needed to confirm their clinical relevance and mechanisms of
action. Future studies should focus on larger, well-structured
cohorts to validate these findings and explore therapeutic
interventions targeting piRNAs and PIWI-like proteins.
Diffusion Weighted Imaging and Intravoxel Incoherent Motion Magnetic Resonance Imaging are Potential Lenvatinib Treatment Response Biomarkers for Advanced Hepatocellular Carcinoma
Authors:   Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takaramachi, Kanazawa 920-8640, Japan., Kobayashi Satoshi , Kitao Azusa ,   Department of Radiology, Kanazawa University Graduate School of Medical Science, 13-1 Takaramachi, Kanazawa 920-8640, Japan.
Published: January 2025

To evaluate associations between the therapeutic outcomes of lenvatinib for advanced Hepatocellular Carcinoma (HCC), and Diffusion Weighted Imaging (DWI) and Intravoxel Incoherent Motion (IVIM) Magnetic Resonance Imaging (MRI) parameters.
IMPACT OF ACCURACY OF ACCOUNTING DATA ON THE EFFICIENCY OF MANAGEMENT DECISIONS
Authors: Nizamdinova A. K. , Yuferova A. A.
Published: January 2025

Purpose of the research. Analysing the impact of the accuracy of accounting data on the effectiveness of management decisions in commercial companies in the CIS.

Methodology. Empirical and statistical analyses.

Originality / value of the research. A comprehensive approach to studying the impact of accounting data accuracy on the eﬀectiveness of management decisions in the context of CIS companies. The study combines empirical and statistical analyses to provide a comprehensive view of the problem. The results of the study oﬀer speciﬁc practical recommendations to improve accounting and management, which contributes to the competitiveness and sustainable development of enterprises.

Findings. This research study revealed a direct relationship between the accuracy of accounting data and the eﬀectiveness of management decisions. The analyses demonstrated that an increase in accounting accuracy indicators contributes to the improvement of proﬁtability, proﬁtability and growth rates of organisations, which allow the eﬀectiveness of management decisions to be assessed. The main problems aﬀecting the accuracy of data are identiﬁed. Eﬀective recommendations for solving the problems aﬀecting the accuracy of accounting data are formulated.
FORECASTING DEMAND FOR CENTRAL BANK DIGITAL CURRENCY (CBDC) IN KAZAKHSTAN
Authors: Turmahanbetova A. A. , Kasenova G. E. , Nurgalieva A. M.
Published: January 2025

Purpose of the research – the aim of this study is to predict the demand for central bank digital currencies (CBDCs) using household survey data. Additionally, it seeks to develop a logit model to analyze the demand for cash and deposits, and to estimate the demand for CBDCs within the framework of this model.Methodology - the research methodology includes analysing the current microeconometric situation, in order to forecast the potential demand for CBDC in Kazakhstan compared to its close alternatives, using the framework developed by Li. Jiaqi (Li. Jiaqi, 2023) based on a structural demand model.

Estimating the potential demand for CBDC is important for understanding the impact of CBDC on banking products and the potential for utilising CBDC in Kazakhstan.

Originality / value of the research – the relevance of the chosen topic of the study is due to the rapid development of digital technologies and the introduction of central bank digital currency (CBDC) by many countries. The emergence of CBDC is inextricably linked to the socio-economic processes that condition the development of ﬁat money.

For a long time, cash money was the most universally used form of ﬁat money.

However, in recent years in most countries of the world there has been an objective process of falling demand for cash as a means of payment. This is due to the widespread digitalisation of the monetary sphere, which allowed banks in the 2000s to introduce new payment instruments and technologies that made cashless payments faster, more convenient, secure and universal. The latter is especially important for payments in ecommerce and mobile commerce networks.

Findings – the results of the study include: forecasting of CBDC demand using survey data collected by NAC Analytica for JSC "Centre for Development of Payment and Financial Technologies of the National Bank of the Republic of Kazakhstan" through web survey of households (2024). Also an important result of this study is the estimption of demand for CBC on the basis of household survey, construction of logit model of demand for cash and deposits, determination of demand for CBDC within the logit model.
THE IMPACT OF MIGRATION PROCESSES ON THE ECONOMIC DEVELOPMENT OF KAZAKHSTAN'S REGIONS
Authors: Mussulmankulova A. A. , Sagidolda N. , Aben B.
Published: January 2025

The purpose of the research is to analyze the opinions of the population about the impact of migration processes taking place in the Republic of Kazakhstan on economic development, taking into account regional peculiarities.

Research methodology. The research was based on data from a sociological study conducted from February to April 2024 among 3,120 respondents in eight regions of Kazakhstan, including the cities of Almaty and Astana. In addition, classical research methods such as logical, generalization, and comparative analysis were used.

The originality of the research. In this study, the authors tried to identify regional features of the interrelationships between migration processes and factors such as wages, unemployment, economic growth and well-being of the region on the basis of primary data obtained during a sociological study.

The results of the study. The analysis showed a variety of opinions of the population of the regions about the impact of migration. The interrelationships between migration processes and economic development are identiﬁed and considered, taking into account the peculiarities and trends in diﬀerent parts of Kazakhstan.
PRIORITY DIRECTIONS FOR DECARBONIZATION OF KAZAKHSTAN'S ENERGY SECTOR
Authors: Aubakirova G. M. , Isataeva F. M. , Biryukov V. V.
Published: January 2025

Тема номера: Виртуальный универсум будущего

The purpose of the study is to reveal the role of the energy sector in the decarbonization of Kazakhstan, which has enormous potential for increasing production scale and technical progress.

Methodology this study uses a mixed approach to studying the problems of decarbonization of the energy sector, involving their analysis from a position of both the global level and speciﬁcally within the framework of the experience accumulated in Kazakhstan. The use of this approach is important for choosing the country’s development prospects, when national interests must correspond to global trends.

Originality/value of the research. The authors emphasize that changes being made to the energy system are aﬀecting the economy of Kazakhstan, changing the geopolitical dynamics within the country, and could have profound consequences for the foreseeable future. In the current conditions, the promotion of all extractive industries requires the activation, on the one hand, of new measures of government assistance, on the other hand, the promotion of public-private partnerships, and the involvement of business in solving urgent problems.

Research results a comprehensive analysis of the results achieved by Kazakhstan in overcoming the diﬃculties of implementing a “green” approach and searching for new directions for decarbonization of the energy sector was carried out. The authors come to the conclusion that the energy system of Kazakhstan needs large-scale investments to update the energy system with adaptation to renewable energy sources. It is substantiated that changes in such important factors as the social aspect, ecology and climate, energy security and the latest technologies will signiﬁcantly aﬀect the development of coal generation and the energy prospects of Kazakhstan. It is shown that government policy should stimulate a productive transition to a low-carbon future, including by promoting research in the ﬁeld of low-carbon energy and the commercialization of clean energy technologies.

Practical signiﬁcance of the study. The authors hope that Kazakhstan's experience will be useful for emerging countries that are strengthening their competitive positions in international markets by introducing various mechanisms for decarbonizing the energy sector.
BIBLIOMETRIC ANALYSIS OF MARKET SEGMENTATION RESEARCH IN HIGHER EDUCATION
Authors: Issayeva A. D. , Baimagambetova L. K.
Published: January 2025

The purpose of the study is to conduct a bibliometric analysis of scientiﬁc literature in the ﬁeld of segmentation of the higher education to determine the degree of relevance and study of the problem and identify the main trends.

Research methodology. The collection of relevant scientiﬁc articles with bibliometric method was carried out in the Scopus database with keywords "marketing in higher education", "consumers", "higher education", "market segmentation". The study of scientiﬁc publications containing the relationship between marketing in higher education and segmentation was conducted. Scopus database analytics was used to visualize the data, and the VOSviewer software was used to analyze keywords.

The originality of the research lies in the systematisation of main approaches in segmentation and is one of the ﬁrst studies with contribution to strategic segmentation in higher education. This study identiﬁes key areas, central authors, and gaps.

The results of the study. The bibliometric analysis was carried out on 90 scientiﬁc articles, of which 20 articles with a high citation level from 10 international scientiﬁc journals. The results show a signiﬁcant increase in interest in segmentation in the higher education, which is reﬂected in increasing number of publications on education, marketing, and social sciences. Many studies pay attention to the segmentation of students, but the target audience considered as applicants, parents, employers, and graduates. For future research, the authors recommend focusing on the segmentation of international students, urban and rural segments of students, and the graduate segmentation and consider speciﬁcs of higher education segmentation in Kazakhstan.
DOES SUSTAINABILITY REPORT HAS AN EFFECT ON FINANCIAL REPORTING DELAYS? STUDY EVIDENCE FROM INDONESIA
Authors: Qonita Ariina , Khomsiyah
Published: January 2025

Penelitian ini bertujuan untuk menganalisis laporan berkelanjutan atau sustainability report yang efeknya berpengaruh terhadap Financial Reporting Delay yang dimoderasi dengan Earning Quality pada perusahaan energi di Bursa Efek Indonesia (BEI). Sampel pada penelitian yaitu perusahaan energi yang menerbitkan Sustainability Report tahun 2019 – 2022 secara resmi berturut-turut melalui website perusahaan. Dengan menggunakan teknik purposive sampling. Teknik analisis yang digunakan pada penelitian ini ialah menggunakan metode analisis konten kuantitatif dan statistik deskriptif.   Sampel yang digunakan dalam penelitian ini berjumlah 18 perusahaan. Hasil penelitian menunjukan terdapat hubungan negatif antara sustainability report dan financial reporting delay. Sementara earning quality tidak mampu memoderasi sutainanbility report dan financial reporting delay.
Kata kunci: Sustainability Report, Financial Reporting Delay and Earning Quality
DETERMINASI GOOD CORPORATE GOVERNANCE, CSR, CAPITAL INTENSITY, DAN LEVERAGE TERHADAP TAX AVOIDANCE PADA PERUSAHAAN TERDAFTAR DI BEI
Authors: Laurencia Lau Sylvia , Indarto Stefani Lily
Published: January 2025

Penelitian ini bertujuan untuk menganalisis pengaruh Good Corporate Governance (GCG), Corporate Social Responsibility (CSR), intensitas modal, dan leverage terhadap penghindaran pajak pada perusahaan PROPER yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2020-2022 sebanyak 97 perusahaan. Masalah utama yang dihadapi adalah kecenderungan perusahaan untuk meminimalkan kewajiban pajak melalui berbagai strategi penghindaran, yang dapat mempengaruhi pendapatan negara. Sebagai solusi, penelitian ini memberikan wawasan tentang hubungan antara praktik tata kelola, tanggung jawab sosial, dan struktur keuangan dengan ketaatan pajak, sehingga membantu perusahaan dalam merancang kebijakan yang lebih berkelanjutan. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis regresi linier berganda dan menggunakan program SPSS 21. Sampel diambil dengan menggunakan teknik purposive sampling dari perusahaan PROPER di BEI. Hasil penelitian menunjukkan bahwa GCG dan CSR berpengaruh negatif terhadap penghindaran pajak. Sedangkan intensitas modal dan leverage berpengaruh positif terhadap penghindaran pajak.
FAKTOR-FAKTOR YANG MEMPENGARUHI KEBIJAKAN DIVIDEN PADA PERUSAHAAN SEKTOR HEALTHCARE DI INDONESIA
Authors: Selvia  , Wijaya Henryanto
Published: January 2025

Penelitian ini bertujuan untuk melihat dampak rata-rata usia dewan direksi, dewan direksi perempuan, cost of debt, dan kepemilikan institusional terhadap kebijakan dividen pada perusahaan sektor healthcare yang terdaftar di Bursa Efek Indonesia periode 2020-2023. Penelitian ini menggunakan pendekatan kuantitatif dan jenis penelitian statistika deskriptif. Jenis data penelitian menggunakan data sekunder. Sampel diambil menggunakan metode Purposive Sampling dan dianalisis menggunakan regresi berganda data panel di uji dengan aplikasi Eviews versi 12 serta total sampel didapatkan 10 perusahaan dan jumlah obsevasi diperoleh 40 data. Hasil penelitian memperlihatkan rata-rata usia dewan direksi memberikan dampak negatif secara tidak signifikan pada kebijakan dividen. Dewan direksi perempuan memberikan dampak negatif secara signifikan pada kebijakan dividen. cost of debt dan kepemilikan institusional memberikan dampak positif secara signifikan pada kebijakan dividen. Penelitian ini memiliki dampak praktis yang dapat diterapkan oleh perusahaan untuk mengoptimalkan kebijakan dividen untuk memenuhi ekspektasi pemegang saham.
Bioactive compounds in pinhão and potential applications in dairy products: A review
Authors: FIEBIG Matheus Sbruzzi , HELM Cristiane Vieira , PRUDENCIO Elane Schwinden
Published: January 2025

The pinhão seed of Araucaria angustifolia is a rich source of bioactive compounds with potential for various applications in the food, pharmaceutical, and cosmetic industries. This study addresses a wide range of research on the pinhão, including its chemical composition, nutritional and functional properties, processing methods, and potential biological effects. Chemical analyses have revealed the presence of essential nutrients such as proteins, lipids, fibers, and bioactive compounds like flavonoids, galactomannans, and lignans, providing the pinhão with antioxidant, anti-inflammatory, and antinociceptive properties. Moreover, studies have shown the potential of pinhão as a source of edible oils and as an inhibitor of digestive enzymes, suggesting possible applications in diet and the treatment of metabolic disorders. Drying and extraction processes have been investigated to preserve its bioactive properties during industrial processing. The evaluation of the antimicrobial and anticancer activity of pinhão extracts has also been highlighted, revealing its potential as a therapeutic agent. In summary, this abstract synthesizes the importance of pinhão as a valuable source of bioactive compounds with potential benefits for human health and various industrial applications.
Analisis Kualitas Pembelajaran dalam Implementasi Kurikulum Merdeka di SD Negeri Petompon 02 Semarang
Authors: Jesentika Wisanta Sari  , Arfilia Wijayanti  , Mira Azizah
Published: January 2025

The implementation of the Independent Curriculum aims to enhance learning quality in Indonesia. At SD Negeri Petompon 02 Semarang, challenges include the need for differentiated teaching modules, lack of structured teacher coordination, low teacher motivation and competence, and high workloads. This study explores the quality of learning through classroom management, affective support, and cognitive activities, using a descriptive qualitative method. Findings highlight the significance of effective classroom management, consistent affective support, and engaging cognitive activities as benchmarks of learning quality. The principal plays a vital role in leading school development, while teachers are responsible for motivating and guiding students. Students demonstrate active participation and positive responses to the learning process. Despite these achievements, continuous evaluation and improvement remain necessary. This study underscores the need for synergy between principals, teachers, and students to achieve optimal learning quality aligned with the principles of the Independent Curriculum.
Keywords: Learning Quality; Independent Curriculum; Classroom Management; Affective Support; Cognitive Activities.
Manajemen Pembinaan Peserta Didik Dalam Meningkatkan Motivasi Belajar
Authors: Hasanah Nurul , Rizkianti Sofiatur , Khoiri Ahmad , Ulum Nuzzulul
Published: January 2025

This article further delineates the implementation of student development management through both curricular and extracurricular activity programs. The research employs a qualitative approach, specifically case study research focused on fieldwork. The study centers on the following aspects: First, the role of school principals in designing student development programs aimed at enhancing learning motivation. Second, the execution of student development programs with the objective of increasing learning motivation. Third, the oversight of the student development program by the principal. Fourth, the evaluation conducted by the principal to identify obstacles and successes within the implemented program.
Keywords: Coaching Management; Learning Motivation.
ANAIS DO III CONGRESSO NACIONAL MULTIDISCIPLINAR EM ONCOLOGIA (III CONAMON)
Authors:   LITERACIA CIENTÍFICA EDITORA E CURSOS, Silva Roberto Bezerra da , Tavares Thiago Santos
Published: January 2025

O III Congresso Nacional Multidisciplinar em Oncologia (III CONAMON) foi um evento de caráter técnico-científico destinado a acadêmicos e profissionais que desejavam aprimorar seus conhecimentos. O evento foi organizado pela DRM-Pesquisa. A jornada contou com palestras de forma on-line, no dia 24 de agosto de 2024 e visou o estudo e atualização acerca da Oncologia de forma multidisciplinar, uma das áreas mais antigas e essenciais da Ciência da Saúde. O tema do Congresso “Alinhar tecnologia e humanização no cuidado oncológico: desafios e possibilidades”, teve por objetivo apresentar ao público assuntos da Oncologia básica, além de tópicos de domínio da especialidade e de outras áreas que trabalham com ela integradas. Como público-alvo estiveram os estudantes de graduação, pós-graduação, mestrado, doutorado e demais interessados pelas temáticas que foram abordadas durante o III CONAMON. É notório salientar que o evento contou com palestrantes das áreas de Enfermagem, Nutrição, Psicologia, Fisioterapia, Terapia Ocupacional, Medicina e outras áreas das Ciências da Saúde. Os congressistas tiveram a oportunidade de assistir diversas palestras ministradas por profissionais renomados. Além disso, puderam submeter resumos simples e expandidos que foram publicados em anais com ISBN e DOI geral.
Literacia Científica Editora & Cursos
COMPARISON OF TWO HYPOFRACTIONATED PALLIATIVE RADIATION THERAPY SCHEDULES HEAD AND NECK CANCERS IN TERMS OF THEIR CLINICAL OUTCOMES
Authors: Choubey Dr Subhadra , Tiwari Dr Harihar Nath , Singh Dr Rajesh Kumar , Byahut Dr Ravi , Rathi Dr Arun Kumar , Arora Dr Savita
Published: January 2025

More than 70% of patients with locally advanced head and neck malignancies (LAHNC), poor performance status, and eligibility for palliative radiation (RT) for symptom relief are present in India. In this prospective trial, patients with LAHNC at a local cancer centre in northwest India will be treated with two short-course hypo-fractionated RT regimens. There were 7 females and 33 males in this study. The bulk of our study group consisted of smokers and tobacco chewers, and the majority had this habit for 20–30 years, according to the results. In our study population, there was an overall improvement in quality of life and pain, speech, and overall health. In conclusion, patients’ quality of life significantly improved in both groups, and there was no statistically significant difference. Therefore, the Christie regime may be similarly helpful in treating some patients to obtain a complete response
Condições de trabalho, saúde mental e qualidade de vida de enfermeiros
Authors: Brito Suziane de Aguiar , Rocha Iago Prina , Freire Maria Eliane Moreira , Souza Júnior Edison Vitório de , Carvalho Gabriella Cristine Guerra de , Souza Ludmilla Leidianne Limirio , Vieira Júnior Edimar da Silva , Sawada Namie Okino
Published: January 2025

O enfermeiro está exposto a eventos estressantes diariamente, além do constrangimento que expõe a vida do profissional e influencia negativamente o físico e o psicológico. O objetivo deste estudo é analisar os aspectos de condições de trabalho, saúde mental e da qualidade de vida que interferem diretamente na vida pessoal e profissional. Trata-se de um estudo transversal, estruturado conforme STROBE. Foi realizado, de forma online, em 26 estados do Brasil e 01 unidade federativa. No que se refere às variáveis de categorias do estudo foram calculados os coeficientes de correlação utilizado Spearman entre os domínios e teste não paramétrico. As variáveis sociodemográficas em associação com os domínios da qualidade de vida, apresentaram maior impacto no consumo elevado de medicamentos psicotrópicos, afetando os domínios físicos, psicológicos, meio ambiente e relações sociais, interferindo diretamente na vida pessoal e profissional. Diante das análises das condições de trabalho, saúde mental e qualidade de vida dos enfermeiros que contraíram a COVID 19, observa-se que sintomas como tristeza, solidão, medo, angústia afetaram diretamente a vida do enfermeiro. Demonstrando a probabilidade de o profissional desenvolver depressão, síndrome de Burnout, ansiedade e insônia.
GreenZ: Campaign Green Lifestyle dengan Konten Edukatif melalui TikTok @aksibumi.id
Authors: Alsyah Aurelia Vania , Simanjuntak Megawati , Saleh Andika Januar
Published: January 2025

Masalah pengelolaan sampah di Indonesia masih memprihatinkan, dengan 6.667.044 ton sampah yang tidak terkelola pada tahun 2023. Salah satu solusi untuk meningkatkan kesadaran masyarakat mengenai pentingnya pengelolaan sampah adalah melalui penerapan green lifestyle. Program pengabdian masyarakat, GreenZ dirancang untuk mengedukasi generasi Z mengenai gaya hidup ramah lingkungan melalui konten edukatif di platform TikTok. TikTok dipilih karena mayoritas penggunanya merupakan generasi Z, yang memiliki potensi besar untuk diubah menjadi agen perubahan dalam isu lingkungan. Program ini dilaksanakan melalui akun TikTok @aksibumi.id dengan enam seri konten, meliputi konten terkait pengurangan sampah, penghematan kertas, dan gaya hidup minimalis. Metode yang digunakan mencakup pembuatan konten kreatif yang relevan dengan minat generasi Z serta evaluasi engagement melalui indikator views, likes, comments, shares, dan saves. Hasil program menunjukkan setiap konten berhasil melampaui target indikator keberhasilan, dengan konten mengenai skincare dan paperless mendapatkan lebih dari 2.000 views. Kesimpulannya, platform TikTok efektif sebagai media untuk menyebarkan edukasi mengenai green lifestyle. Program ini membuktikan pentingnya pemanfaatan media sosial dalam kampanye lingkungan yang kreatif dan relevan untuk meningkatkan kesadaran generasi Z mengenai isu keberlanjutan lingkungan.
Pemberian Edukasi Fisioterapi Mengenai Low Back Pain pada Petani di Desa Krangkong, Kabupaten Bojonegoro, Jawa Timur
Authors: Mogi Yosefina Sabina Iga , Rahmanto Safun
Published: January 2025

Desa Krangkong merupakan salah satu desa yang ada di Kecamatan Kepohbaru, Kabupaten Bojonegoro, Jawa Timur. Rata-rata penduduk di Desa Krangkong bekerja sebagai petani. Pekerjaan pertanian mempunyai tingkat ketegangan yang tinggi dan melibatkan banyak gerakan repetisi. Hal ini dapat menyebabkan terjadinya penyakit akibat kerja dan gangguan musculoskeletal sering terjadi pada petani. Diantaranya, gangguan muskuloskeletal yang paling umum adalah low back pain. Keluhan low back pain ini disebabkan oleh sikap kerja yang tidak ergonomis pada petani. Peran fisioterapi dalam mengatasi keluhan low back pain ini dengan memberikan edukasi mengenai low back pain berupa upaya pencegahan dan terapi latihan untuk mengatasi low back pain. Kegiatan edukasi ini menggunakan metode penyuluhan menggunakan media leaflet sedangkan untuk postur kerja dan terapi latihan diberikan dengan metode penerapan bersama. Sebelum dilakukan penyuluhan peserta melakukan pengisian kuisoner pre- test dan sesudah pemberian edukasi kembali dilakukan post-test. Hasil penyuluhan ini berdasarkan kuisoner evaluasi pretest dan post-test pemahaman peserta mengenai materi edukasi yang diberikan diperoleh peningkatan sebesar 100% terkait materi low back pain, upaya pencegahan dan penerapan rekomendasi latihan untuk mengatasi low back pain pada petani.
Penerapan Pemeriksaan Berg Balance Scale untuk Menurunkan Risiko Jatuh pada Lansia di Posyandu Lansia Balearjosari, Malang, Jawa Timur
Authors: Rosya Nur Alifah Amalia , Yuliadarwati Nungki Marlian , Rosyida Ari
Published: January 2025

Lanjut usia merupakan seseorang yang sudah menginjak usia 60 tahun lebih. Seiring bertambahnya usia, akan terjadi penurunan kondisi fisik pada tulang dan otot, dan sendi. Kemunduran dan perubahan morfologis pada otot ini menyebabkan perubahan fungsional, seperti penurunan kekuatan, kontraksi, elastisitas, dan fleksibilitas otot. Akibatnya, risiko jatuh pada lansia cenderung meningkat. Kegiatan pengabdian ini bertujuan untuk mengetahui adanya penurunan keseimbangan pada lansia di posyandu lansia Balearjosari, Malang. Metode yang digunakan dalam kegiatan berupa skrining dengan Berg Balance Scale pada lansia yang melibatkan 18 responden. Hasil skrining menunjukkan bahwa 9 responden (50%) memiliki risiko jatuh rendah, 6 responden (33%) memiliki risiko jatuh sedang, dan 3 responden (17%) memiliki risiko jatuh tinggi. Temuan ini menegaskan pentingnya pemantauan dan intervensi untuk mengurangi risiko jatuh pada lansia, mengingat dampak serius yang dapat ditimbulkan dari jatuh, seperti cedera dan penurunan kualitas hidup. Oleh karena itu, upaya pencegahan dan peningkatan keseimbangan serta kekuatan fisik pada lansia sangat diperlukan untuk menjaga kesehatan dan kemandirian mereka.
Srikandi Sejati sebagai Alternatif Program Peningkatan Kepercayaan Diri dan Penguatan Growth Mindset Perempuan Penyandang HIV di Bogor
Authors: Fadilla Annisa Nurul , Hasanah Atina Aulia , Isnaini Nopi , Rafi Arrasyid Putra , Hidayah Alif Nur , Islamiah Nur
Published: January 2025

Bagi orang dengan Human Immunodeficiency Virus (ODHIV), menjalani hidup dapat menjadi tantangan besar, baik secara fisik maupun mental. Secara psikologis, ODHIV menghadapi stres disebabkan salah satunya akibat stigma negatif masyarakat terhadap mereka. Untuk itu diperlukan program penguatan pola pikir perempuan penyandang HIV untuk menghadapi tantangan sosial. Program Srikandi Sejati dengan menggunakan metode ACTORS bertujuan meningkatkan kepercayaan diri dan menguatkan pola pikir growth mindset. Nama Srikandi Sejati bermakna perempuan penyandang HIV yang berani dan kuat untuk menghadapi tantangan sepanjang hidupnya. Program ACTORS terdiri dari Authority, Confidence, Competence, Trust, Opportunity, Responsibility, dan Support. Program ini dimulai dengan persiapan, pre-event: sosialisasi program dan pre-test, dilanjutkan dengan sesi utama dan ditutup dengan post-event: closing dan post-test, serta monitoring dan Evaluasi. Program ini berhasil memberikan dampak positif terhadap peningkatan kepercayaan diri dari 5 ODHIV sebesar 50%. Selain itu, terdapat juga penguatan pola pikir growth mindset sasaran, yaitu sebanyak 4 ODHIV mengalami peningkatan dan 4 lainnya mendapatkan skor maksimal setelah mengikuti program.
VARIABLES SUBROGADAS Y APROBACIÓN ACELERADA DE MEDICAMENTOS
Authors: SAIZ FERNÁNDEZ LUIS CARLOS
Published: January 2025

Las variables subrogadas requieren de una adecuada validación para acreditar su utilidad. No obstante, las autoridades sanitarias admiten variables con un nivel de exigencia progresivamente menor. Las aprobaciones aceleradas precisan de estudios confirmatorios que, con frecuencia, no se completan. La carga viral del VIH o la hipertensión arterial son ejemplos de variables adecuadamente validadas. Por el contrario, se identifican inconsistencias en variables empleadas en el abordaje del cáncer, demencia, osteoporosis y patologías infecciosas o cardiovasculares. El acceso prematuro a las terapias farmacológicas puede repercutir en una mayor incidencia de reacciones adversas con escaso margen para implementar estrategias de mitigación de daños. El abandono del ensayo clínico en beneficio de diseños de corte predictivo u observacional, compromete la calidad de la evidencia obtenida.
Improving the Performance of the Winduhaji Household Industry by Utilizing Android-Based Accounting Applications
Authors: Puspasari Oktaviani Rita , Teguh Iman , Indrawan Rizki
Published: January 2025

Many SME’s industry still experience difficulties in developing their businesses. The main problem is the difficulty of accessing capital to formal financial institutions, due to the lack of implementation of standard financial administration. This community service activity was carried out to help the needs of household industry owners, especially in the Winduhaji area, with 25 participants, using socialization, training and workshop methods as well as mentoring and evaluation. This activity was categorized as successful. This can be seen from the enthusiasm and activeness of the participants at each stage of the activities carried out. The feedback given was very positive, this application was conveyed as very helpful in increasing time efficiency and reducing errors in recording transactions. In addition, they also feel more professional in running a business because they have neater records. Participants also suggested further training to learn more application features such as more detailed reporting or simple financial analysis, which shows a high interest in continuing to utilize technology in managing their businesses.
Application of AI Tools in Research
Authors:   Professor,  Department of Commerce IT, Dr.N.G.P Arts & Science College., . KAMALAVENI Dr.S
Published: January 2025

AI-powered literature search: AI can help researchers to as a researcher, you want your work to be seen and have a positive impact on the world. But in today's competitive research landscape, it can be difficult to get your work noticed. That's where research visibility and impact come in. Research visibility is how well your work is known to the people who matter, such as other researchers, policymakers, and the general public. Research impact is the effect your work has on society, such as advancing knowledge, informing policy, or solving real-world problems. Artificial intelligence (AI) is transforming the process of research visibility and impact in a number of ways. Quickly and efficiently identify relevant literature, even in large and complex datasets. This can help researchers to save time and stay up-to-date on the latest research in their field.

·                    AI-powered writing assistance: AI can help researchers to write more clear, concise, and effective manuscripts. This can help to increase the likelihood that manuscripts will be accepted for publication and that other researchers will read and understand them.

·                    AI-powered dissemination tools: AI can help researchers to disseminate their work more effectively to a wider audience. For example, AI can be used to generate social media posts, blog posts, and other types of content that promote the researcher's work.

·                    AI-powered impact measurement tools: AI can help researchers to track and measure the impact of their work. For example, AI can be used to track citations, downloads, and other metrics that indicate how widely the researcher's work is being used.

Keywords: AI, NPL, Robotics, Consensus, Tableau, Data Driven, Chat GPT
Developing a Machine Learning based Humanized Music Recommendation System
Authors: Thai Mrs. P. Kamakshi , Tiwari Chirag , Divya V , Reddy M. Thulasidhar
Published: January 2025

Music has become an integral part of our lives, with platforms like Spotify and Amazon Music
dominating the market. However, they still often fall short in terms of user satisfaction. This research aims
to focus on matching the energy of the song played by the user instead. This research aims to create an
alternative model that does not focus on traditional features such as popularity or artist but on nuanced
features such as energy, liveness and tempo to add the specific ‘human touch’. To do this, it uses a Spotify
dataset from Kaggle which has a wide range of attributes such as acousticness, danceability and valence,
among others. By using these underutilized features, this research aims to create a recommendation system
that provides more personalized and satisfying music suggestions. This research will include of making a
web application which will allow users to play music and this model and web application will be deployed
using AWS.
Keywords: Personalized song matching, nuanced features, human-touch, user satisfaction enhancement,
Data preprocessing, Clustering Analysis, Dynamic playlist generation
Intelligent Tutoring Systems: A Comprehensive Guide to Personalized Learning
Authors: Garugu Srisudha , Sri V. Bhanu , Shravani E , Karthik B
Published: January 2025

Intelligent Tutoring Systems (ITS) are transforming education by delivering personalized and adaptive learning
experiences tailored to individual student needs. These systems utilize cutting-edge advancements in machine
learning (ML) and artificial intelligence (AI) to model student knowledge, predict learning outcomes, and provide
customized feedback. This paper outlines the design and development of a web-based ITS integrating Bayesian
Knowledge Tracing (BKT), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) models
to enhance learning outcomes. The ITS employs Flask for the backend and React.js for the frontend to deliver an
intuitive and interactive user experience. Additionally, this document discusses the system’s architecture,
implementation, and its broader implications for modern education systems
Keywords: Intelligent Tutoring Systems, Bayesian Knowledge Tracing, RNN, LSTM, Flask, React.js, personalized
learning, student modeling, adaptive education.
Multilingual Plagiarism Detection Across Diverse Media Formats Using OCR and Neural Techniques
Authors: Yogesh C , Balaji G , R S Ganesh Aditya , K Hari Suriya , Shargunam Dr.S
Published: January 2025

This study presents a comprehensive
approach to multilingual plagiarism detection across

various media formats, including image-to-image, text-
to-text, PDF-to-PDF, and file-to-file comparisons.

Utilizing Optical Character Recognition (OCR) with the
PyTesseract module, our system extracts text from
images and scanned documents for analysis. By
leveraging neural network models and cosine similarity,
we computed the semantic similarity across languages
and formats to detect potential plagiarism. Our method
was tested on a variety of language pairs and media
formats, demonstrating its effectiveness in identifying
cross-lingual plagiarism with high precision and recall.
Key Words: Multilingual, Plagiarism Detection, OCR,
Neural Networks, Cosine Similarity, Media Formats