bluuebunny/crossref_metadata_2025_split huggingface dataset:
Entrepreneurial Mindset and Adaptation Capability in Business"
Authors: Hasyim  , Rambe Fitri Ayu Hardiana , Gabriella Simanjuntak  , Icha Henrie Novrianti Hutajulu  
Published: December 2023

The journal "Entrepreneurial Mindset and Adaptability in Business" discusses how entrepreneurship is crucial for Indonesia's economic growth, especially for the younger generation. The author emphasizes that the government is crucial in creating jobs by developing young entrepreneurs. The process of capitalizing on business opportunities by using innovation and creativity is known as entrepreneurship. To achieve this goal, entrepreneurship education focuses on teaching youth to build, own and manage their own businesses. The purpose of this research is to produce a business learning model that can last. Analysis of various entrepreneurship-related documents, laws and regulations, start-up guides, and previous research was used as the research method. The results show that improving entrepreneurial literacy is essential to encourage Indonesian millennials to build their own businesses. In addition, it was mentioned that a company's ability to adapt is key to dealing with change. Organizational leaders and managers play an important role in this. Participation is important in helping organizations change, and fostering entrepreneurial understanding among students is important to produce new entrepreneurs who are ready to face future challenges.So, entrepreneurship education is essential to shape the millennial generation who will become competitive entrepreneurs. This education prioritizes creativity, innovation and practical entrepreneurial skills. Students' ability and interest to build their own business is influenced by entrepreneurial literacy. An important step in developing new entrepreneurs who will transform Indonesia's economy and society is understanding the concept of entrepreneurship and a honed entrepreneurial spirit
Fake News Detection Using MultiChannel Deep Neural Networks
Authors: Meenakshi A Thalor  , Mayuri Garad  
Published: December 2023

Fake news has become a pervasive issue in today's digital age, posing significant challenges to information integrity and trustworthiness. In this study, we propose a novel approach for the detection of fake news using MultiChannel Deep Neural Networks (MC-DNNs). Our research aims to address the limitations of traditional fake news detection methods by leveraging the power of deep learning and multiple data sources.
The Impact of Family Environment and Students Discipline for the Result of Economics Subject Grade XI SMA Negeri 5 Pematang Siantar Year 2023/2024
Authors: Esra Butarbutar  , Herlina Hotmadia Sianipar  , Irjen Pardamean Butarbutar  
Published: December 2023

This research aims to gain knowledge regarding the influence of the family environment and learning discipline on the economic learning outcomes of students in class XI at SMA Negeri 5 Pematang Siantar FY 2023/2024
​This type of research is quantitative research with a quantitative descriptive data analysis approach with the testing media used is Microsoft Excel . The total population in this study was 102 students. The sample collection technique used was the Slovin formula. The data collection technique used was a questionnaire. Hypothesis data collection techniques use simple regression analysis , multiple regression analysis and coefficient of determination (R2).
The results of this research state that: 1) There is a positive and significant influence of the family environment on learning outcomes, this result can be seen in the t test where the calculated t value of learning discipline (0, 0 8) > t table value (1.318) which means the variable is significant. Mukticolinearity Test . The assumption of Tolerance or Variance Inflation Factor (VIF) is capable stated that If VIF > 10 ormark Tolerance < 1.20 so that capablemulticollinearity., or If VIF < 10 or mark Tolerance > 0.10 so it is not capable of multicollinearity. It can be seen in the attachment, (1.20) that Tolerance > 0.10 or Variance Inflation Factor (VIF) < 10, so it can be concluded that the data is not capable of symptoms of multicollinearity.
The Impact of Discoverys Learning Model for the Result of Social Subject Grade VIII SMP Swasta Bina Guna Tanah Jawa
Authors: Sartika Situmorang  , Anggun Tiur Ida Sinaga  , Injen Pardamean Butarbutar  
Published: December 2023

​The problem in this research is Learning outcomes on interaction material between ASEAN countries using the discovery learning model and the conventional model for class VIII at Bina Guna Tanah Java Private Middle School.
​This type of research is quantitative research . The population in this study were all students in class VIII of Bina Guna Tanah Java Private Middle School with a total of 66 students. The sample in this study consisted of 2 classes, namely class VIII-1 and class VIII-2 with a total of 66 students.
​Based on the results of descriptive analysis, it shows that the average social studies learning outcomes for students in classes that do not use the discovery learning model is 71.76. Meanwhile, the average student learning outcomes in classes that use the discovery learning model is 73.91. The results of inferential statistics using SPSS version 21 obtained Sig(2 Tailed)<α or (0.000<0.05) and the calculated t value > t table (3.818>1.294). So, based on the testing criteria, it can be said that there is a significant difference in learning outcomes between classes that use the discovery learning model and classes that use the conversion learning model in class VIII Anatar Nagara-ASEAN Countries Interaction material in social studies subjects at Bina Guna Tanah Java Private Middle School.
Videojuegos aplicados a la enseñanza de las matemáticas iniciales: una revisión sistemática
Authors: Screpnik Claudia Raquel , Cabrera Mejia Javier , Negre Bennasar Francisca , Salinas Ibáñez Jesús 
Published: December 2023

Having digital resources for inclusive education is one of the challenges faced by teachers and institutions. This systematic review focuses on finding developments in digital educational resources oriented towards the teaching of mathematics. Studies in Spanish and English from 2018 to 2022 were considered by searching the Scopus, Web of Science, ERIC, IEEE, and PsycINFO databases. The work was carried out following the PRISMA statement (Ouzzani et al., 2016; Page et al., 2021), the steps proposed by Sánchez-Meca (2022), and the recommendations of Marín (2022). Articles were identified to visualize the characteristics used and to obtain inferences in order to propose guiding principles in the creation of educational video games focused on the learning of mathematics. The results obtained in these experiences were evaluated, and in general, evidence was found that the use of these digital resources is positive, although the authors acknowledge limitations in their work. From reading and analyzing the studies, certain elements emerged that must be taken into account in their design to ensure success in the implementation of these didactic strategies.
En la actualidad, uno de los principales retos para los docentes e instituciones educativas es contar con recursos digitales que fomenten la inclusión en el aula. Con el objetivo de identificar los avances en la creación de recursos educativos digitales para la enseñanza de las matemáticas, se llevó a cabo una revisión sistemática de estudios publicados en español e inglés entre 2018 y 2022, consultando bases de datos como Scopus, Web of Science, ERIC, IEEE y PsycINFO. Para realizar este trabajo, se siguieron los lineamientos de la declaración PRISMA (Ouzzani et al., 2016; Page et al., 2021), así como los pasos propuestos por Sánchez-Meca (2022) y las recomendaciones de Marín (2022). Se identificaron las características utilizadas en los recursos digitales y se extrajeron inferencias para proponer principios rectores en la creación de videojuegos educativos enfocados en la enseñanza de las matemáticas. Además, se evaluaron los resultados obtenidos en dichas experiencias y se encontraron evidencias que respaldan el uso de estos recursos digitales, aunque los autores reconocen las limitaciones de su trabajo. Tras la lectura y análisis de los estudios, se destacan ciertos elementos que deben ser considerados en el diseño de estos recursos digitales para garantizar el éxito en su implementación como estrategias didácticas en la enseñanza de las matemáticas.
Las tecnologías digitales en el entrenamiento de las funciones ejecutivas: una revisión sistemática de literatura
Authors: Ordóñez Fernández María Manuela , Alonso Ferreiro Almudena 
Published: December 2023

The application of the advances in the research on the functioning of the brain, technological development and neurotechnology represent a new way of personalizing the teaching and learning process, finding that the improvement in Executive Functions implies an improvement in academic performance. This prompted the present Systematic Literature Review, which explores how technologies affect the development and improvement of these Executive Functions, in the literature of the last decade. The principles of the PRISMA-2020 declaration are followed. A search was carried out in five databases (Scopus, WoS, ERIC, Scielo and Dialnet), initially finding 255 publications. After applying the exclusion/inclusion criteria, there were 9 articles left, that make up the final sample. The results show a predominance of a clinical approach, with pre-test/post-test methodological designs, in which the technology offers satisfactory results. There is little research on the potential of digital technologies to work on executive functions in the educational field, which implies the need for further psychopedagogical research, incorporating an active and creative role of the subjects, since these functions are established as predictors of academic progress.
La aplicación de los avances en investigación del funcionamiento del cerebro, el desarrollo tecnológico y la neurotecnología suponen una nueva vía de personalización del proceso de enseñanza y aprendizaje encontrando que la mejora en las Funciones Ejecutivas supone una mejora en el rendimiento académico. Este motivo propició la presente Revisión Sistemática de Literatura, que explora cómo inciden las tecnologías en el desarrollo y mejora de estas Funciones Ejecutivas, en la literatura de la última década. Se siguen los principios de la declaración PRISMA-2020. Se realizó una búsqueda en cinco bases de datos (Scopus, WoS, ERIC, Scielo y Dialnet), encontrando inicialmente 255 publicaciones. Tras aplicar los criterios de exclusión/inclusión quedaron 9 artículos que componen la muestra final. Los resultados muestran predominancia de un enfoque clínico, con diseños metodológicos de pre-test/post-test, en los que la tecnología ofrece resultados satisfactorios. Existe escasa investigación del potencial de las tecnologías digitales para trabajar las Funciones Ejecutivas en el ámbito educativo, lo que implica la necesidad de mayor investigación psicopedagógica, incorporando un rol activo y creativo de los sujetos, ya que estas funciones se establecen como predictoras del progreso académico.
Inteligencia Artificial en Educación Superior: Oportunidades y Riesgos
Authors: Cordón García Oscar 
Published: December 2023

At present, Artificial Intelligence (AI) is fully integrated in our society and, thanks to recent developments in generative AI, it has burst into Education at a dizzying pace. The aim of this paper is to reflect on the benefits that AI can bring in this area within Spanish Universities, as well as on the risks that it may entail. To this end, an initial positioning of the current framework will be made; some of the possible applications of AI in Education will be reviewed, from a realistic and methodological point of view; some technological tools and use cases will be compiled; and a series of keys for an effective implementation in the Spanish University System will be proposed, focusing on the challenges and risks at the technological, pedagogical, organizational, legislative, and ethical levels.
En el momento actual, la Inteligencia Artificial (IA) está completamente integrada en nuestra sociedad y, gracias a los recientes desarrollos de la IA generativa, ha irrumpido en la Educación a un ritmo vertiginoso. El objetivo de este trabajo es reflexionar acerca de los beneficios que la IA puede aportar en esta área dentro de las Universidades Españolas, así como sobre los riesgos que puede conllevar. Para ello, se realizará un posicionamiento inicial del marco de trabajo actual; se enumerarán algunas de las posibles aplicaciones de la IA en Educación, desde un punto de vista realista y metodológico; se recopilarán algunas herramientas tecnológicas y casos de uso; y se plantearán una serie de claves para una implantación efectiva en el Sistema Universitario Español, incidiendo en los retos y en los riesgos a nivel tecnológico, pedagógico, organizativo, legislativo y ético.
The Contradictory Foundation of the Estonian Folklore Archives: Traditionality and Modernism, Unification and Segregation, and Basics of Authenticity
Authors:   Estonian Folklore Archives, Estonian Literary Museum, Tartu, Estonia, Saarlo Liina 
Published: December 2023

The Estonian Folklore Archives (EFA) has intertwined with the basis of reasoning about folk and nation in many ways. The article discusses opposing concepts that affected the foundation of the institution and the development of its collections while altering according to prevailing ideologies. Traditionality and modernity, and unification and segregation were interlaced while constructing the Estonian nation during the period of national awakening (starting in the 1850s). In this modernist process the history of Estonians had to be (re)created. Country-wide folklore collection campaigns were organised, during which young people were gathering material from old people about culturally outdated genres and obsolete knowledge. These large collections became the basis of the EFA in independent Estonia and, according to erstwhile principles, the collection of folklore and filling in the white spots on the Estonian map continued. However, since there was no longer any threat to nationality, folklorists also began to experiment with new methods and study the genres, or social/national groups, which so far had been regarded as marginal or insignificant. The Soviet occupation was accompanied by major ideological changes. As a result of constant external pressure, folklorists enclosed themselves into ethno-centrist conservatism – folklore of Estonians and kindred peoples, archaic genres of peasants’ tradition – were preferred to be recorded and studied once again. Authenticity – the set of qualities of texts such as archaic, traditional, oral, or reliable – became the supreme principle for collecting and publishing. Interest in ethnic minorities and contemporary topics arose only at the end of the Soviet era, experiencing an explosive success in the re-independent Estonia.
A Comparative Study of Bitcoin’s Price Prediction Using Regression Models
Authors: Adamu Ibrahim , Ogbonna Chukwudi Justin , Ubah Success Ogechi , Irinews Alumbugu Auta , Muhammad Aminu , Ahmed Shuaibu 
Published: December 2023

The rising popularity and increasing financial acceptance of cryptocurrency are having a profound impact on global scale. Unlike the current fiat currencies, bitcoins offer a unique possibility to predict their price. Despite the fact that many individuals are investing in cryptocurrencies, little is known about their dynamic properties and predictability, which puts money at risk. The aim of this paper is to evaluate and compare different regression algorithms in order to forecast the price of most popular cryptocurrency – Bitcons. Secondary bitcoin historical data from Kaggle which features an updated daily record of 24 variables over a seven-year period ARE considered. Since the bitcoin data is so volatile, we implemented an effective pre-processing of data in order to have a better prediction result. The different models applied include – Linear Regression, Ridge Regression, LASSO Regression and Elastic Net Regression model. However, elastic net performed better with an RMSE of 0.0228 without showing signs of overfitting.
Review on Biological Management of Bactrocera zonata through Pathogenic Activity of Beauveria bassiana
Authors: Sanaullah  , Ali Hafiz Muhammad Sajid , Naqvi Syed Husnain Kumail , Ullah Muhammad Zia , Ali Farhan , Sarfaraz Sana , Fawaz Muhammad Sarmad , Sharif Umer , Ali Haider , Shafi Muhammad Salman , Khalid Aiman , Mushtaq Iqra 
Published: December 2023

Bactrocera zonata is the destructive pest of peach, mango and banana by causing Significant economic losse

It reduces fruit quality, which directly causes decline in export of these economical fruits. Many management strategies were carried to suppress the population of this invasive pest. The use of chemical insecticides in the orchard for control of B. zonata is restricted because insecticides causes several complication in fruit health and makes fruits unfit for human consumption.

The EPF (Beauveria bassiana) act as potent biocontrol agent. B. bassiana enriched with three cuticle degrading enzymes including protease, lipases and chitinase. These enzymes have ability to hydrolyze and degrade the epicuticle and break the antifungal proteins linkage present in that cuticle for facilitating the spore’s penetration. The current study emphasizes the activity of cuticle degrading enzymes (CDE) of Beauveria bassiana (protease, chitinase, lipases) for the management of B. zonata.
Spontaneous Species from the Brazilian Semiarid (Senna uniflora plus Calotropis procera) as Organic Fertilizer in Coriander Production
Authors: Silva Adma Larissa da , Linhares Paulo César Ferreira , Júnior Domingos Severino de Souza , Morais Daniela Rayane da Silva , Peixoto Leticia Samilly de Lima , Peixoto Sarah Sanny de Lima , Sousa Roberto Pequeno de , Pinto Francisco Felipe Barroso , Oliveira Carlos Eduardo Alves de , Lima Francisca Davila de , Alves Debora Viviane , Rosário Paula Cristina de Morais , Bezerra Amanda Diógenes Bastos 
Published: December 2023

Aims: Vegetable farming is widely practiced by farmers in the semi-arid region who use spontaneous species as organic fertilizer, in this sense, the objective was to study the spontaneous species woods pasture (Senna uniflora L.) in addition to rooster tree (Calotropis procera) in different quantities in the production of coriander in the semi-arid region of Brazil.
Place of Study: The experiment was conducted in a greenhouse at the Department of Agricultural and Forestry Sciences, in the region of Mossoró, RN, Brazil, using soil classified as argisol.
Study Design and Methodology: The design used was completely randomized, with five treatments and four replications, with the treatments consisting of the following amounts of the mixture of woods pasture (Senna uniflora L.) plus rooster tree (Calotropis procera) (0.0; 1 .2; 2.4; 3.6 and 4.8 kg m-2 of area). The coriander cultivar "Frevo" was used, adapted to the edaphic and climatic conditions of the semi-arid region.
Agronomic Characteristics of Coriander: plant height (expressed in cm plant-1); number of stems (expressed in units plant-1); productivity (expressed in grams m-2 of area); number of bunches (expressed in units plant-1) and dry mass (expressed in grams m-2 of area).
Conclusion: The mixture of woods pasture plus rooster tree in the amounts of 4.8 kg m-2, obtained the highest productivity and number of bunches, with values of 868 g m-2 and 17.3 units of coriander bunches, respectively. Spontaneous species from the semi-arid region constitute an organic fertilizer alternative for farmers.
Efficacy of the Multimodal and Multilevel Radiofrequency Nerve Ablation for the Management of Low Back Pain Chronic
Authors: Valadez Luis Roberto Garcia , Santoyo Jorge Aram Copca , Lopez Erick E. 
Published: December 2023

Background: Low back pain is currently an important health problem that represents a significant socioeconomic cost in Western societies and is associated with higher rates of disability than any other disorder. Although most cases are treated successfully at the first level of care, it is estimated that around 15% become chronic, resisting conservative treatment.
Aims: to know the analgesic effects by means of the "visual analog scale" and functional effects (oswestry) in patients submitted to radiofrequency, the aim is to know the incidence of low back pain secondary to facet syndrome in the traumatology service, as well as the effectiveness rate of the procedure as a therapeutic method for chronic low back pain.
Study Design: retrospective cohort analytical observational study design.
Place and Duration of Study: Sample: 48 patients with a diagnosis of lumbar facet syndrome treated by lumbar facet denervation (rhizolysis) by multimodal and multilevel radiofrequency between July 2021 and July 2022 at the Regional Military Hospital of specialties in Guadalajara, Jalisco were included.
Methodology: Sample: We included data from the 48 patients who underwent radiofrequency facet denervation of the lumbar spine from L1 to L5, and their functional evolution was evaluated using the Oswestry Disability Index (ODI) and their analgesic evolution using the Visual Analog Scale (VAS).
Results: Sample: Out of 48 patients, finding an average improvement of 5.6 ± 3.28 points in the visual analog pain scale and an improvement of 83.3% was obtained in patients with severe disability according to the Oswestry scale at 6 months of follow-up. There is a reduction of at least 3 points in VAS with a 50% reduction in pain and improvement in functional status. Effectiveness of 91.6% in the reduction of at least 16 points in ODI which represents the minimum score necessary to reduce 1 level of disability in the worst case scenario.
Conclusion: The incidence of patients presenting to the orthopedic office with facet syndrome is 32.87%. Radiofrequency rhizolysis is an effective and safe treatment for the management of chronic low back pain in patients with facet syndrome, with a high rate of effectiveness and low rate of complications. The effectiveness of the treatment lies in the correct selection of the patient including clinical and imaging criteria and positive diagnostic block.