bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hagamos un archivo
Authors: Camusso Mariángeles 
Published: June 2024

En este trabajo me propongo reflexionar en clave de ensayo sobre una selección de imágenes viralizadas en redes sociales durante el año 2018, en el contexto de discusión de la Ley de Interrupción Voluntaria del Embarazo en Argentina. Se inscribe en una serie de indagaciones realizadas sobre diversos corpus de imágenes puestos en circulación en estas redes, inicialmente en Facebook, luego también en Instagram, desde la primera marcha Ni Una Menos, en junio de 2015, en las cuales describimos constantes y transformaciones en los modos de representación hegemónicos de cuerpos, sexualidades y luchas de las mujeres y otras identidades feminizadas. En esta oportunidad pretendo observar ese corpus preguntándome sobre las particularidades de la generación de este archivo y sus inscripciones en las prácticas estético – políticas de los movimientos feministas y de mujeres.
Looking Beyond the Numbers: A Comparison of Operative Self-Efficacy, Supervision, and Case Volume in General Surgery Residency
Authors: Jensen Rachel M. , Anand Ananya , Kearse LaDonna E. , Korndorffer James R. 
Published: June 2024

Background A national survey of general surgery residents revealed significant self-assessed deficits in preparation for independent practice, with only 7.7% of graduating postgraduate year 5 residents (n=1145) reporting self-efficacy for all 10 commonly performed operations surveyed.
Objective We sought to understand why this phenomenon occurs. We hypothesized that self-efficacy would be positively correlated with both operative independence and case volume.
Methods We compared 3 independent datasets: case information for the same 10 previously surveyed operations for residents graduating in 2020 (dataset 1), operative independence data obtained through the SIMPL OR app, an operative self-assessment tool (dataset 2), and case volume data obtained through the Accreditation Council for Graduate Medical Education National Data Report (dataset 3). Operations were categorized into high, middle (mid), and low self-efficacy tiers; analysis of variance was used to compare operative independence and case volume per tier.
Results There were significant differences in self-efficacy between high (87.7%), mid (68.3%), and low (25.4%) tiers (P=.008 [95% CI 6.2, 32.7] for high vs mid, P&lt;.001 for high vs low [49.1, 75.6], and P&lt;.001 for mid vs low [28.7, 57.1]). The percentage of cases completed with operative independence followed similar trends (high 32.7%, mid 13.8%, low 4.9%, P=.006 [6.4, 31.4] for high vs mid, P&lt;.001 [15.3, 40.3] for high vs low, P=.23 [-4.5, 22.3] for mid vs low). The total volume of cases decreased from high to mid to low self-efficacy tiers (average 91.8 to 20.8 to 11.1) but did not reach statistical significance on post-hoc analysis.
Conclusions In this analysis of US surgical residents, operative independence was strongly correlated with self-efficacy.
Comparing Perceptions of Virtual and In-Person Interviews: Results From a National Survey of Internal Medicine Residents
Authors: Henschen Bruce L , Ratcliffe Temple A. , Alexandraki Irene , Harris Linda , Weinstein Amy R. 
Published: June 2024

Background Since 2020, virtual interviews have become the typical way in which applicants assess residency programs. It is unknown whether the change from in-person to virtual interviews has been associated with changes in perceptions of the quality of information gathered by prospective applicants.
Objective To ascertain perspectives on the satisfaction with, quality of, and accuracy of information gathered by internal medicine (IM) residency applicants from virtual and in-person interviews.
Methods Twenty-nine thousand, seven hundred and seventy-six residents from US and Puerto Rico residency programs sitting for the 2022 American College of Physicians Internal Medicine In-Training Examination (IM-ITE) were surveyed. An optional, 5-question survey was administered at the end of the examination. Responses were analyzed based on interview format—virtual (postgraduate year [PGY]-1-2) or in-person (PGY-3)—and PGY.
Results Of 29 776, 23 161 residents responded to the survey (77.8% response rate). Regardless of PGY, respondents reported a high degree of satisfaction with the quality of information gathered from their interview day, though there was a statistically significant difference between virtual and in-person [somewhat/very satisfied: In-person 5938 of 7410 (80.1%); 95% CI [79.2, 81.0] vs virtual 12 070 of 15 751 (76.6%); 95% CI [76.0, 77.3]:P&lt;.001]. Residents in all PGYs reported sessions with residents and one-on-one interviews as the most important factors when creating their rank lists.
Conclusions We found differences in satisfaction and perceptions of the quality of information gathered between IM residents who participated in virtual and in-person interviews. However, regardless of format, most respondents reported satisfaction with their interview experience.
Control concurrente en la ejecución de obras públicas
Authors: Gómez Guillén Vladimir Alexis 
Published: June 2024

Objetivo. El estudio busca describir la aplicación del control concurrente en la ejecución de obras públicas. Métodos. Se consideró una revisión de la literatura científica para comprender en la actualidad las implicancias del control concurrente en la ejecución de obras públicas, reflexionando sobre el efecto que este tiene, con fines de mejora a través de la aplicación oportuna de acciones preventivas y correctivas. Resultados. Se evidenció que el control concurrente permite un desarrollo óptimo para el cumplimiento de la finalidad pública en la ejecución de obras. Conclusiones. El control concurrente es un mecanismo establecido por la Contraloría General de la República (CGR) a fin de gestionar la inclusión de acciones preventivas y acciones correctivas. Por ello, estas acciones se deben realizar con mayor frecuencia, para que las obras públicas sean ejecutadas de manera óptima, evitando así la presencia de situaciones adversas.
Factors of satellite city development
Authors: Джамалудинова М.Ю. , Магомедова З.Д. 
Published: June 2024

В статье рассматриваются ключевые факторы, способствующие росту и расширению городов-спутников по всему миру. К основным факторам относятся децентрализация возможностей трудоустройства из центральных городов, улучшение транспортной инфраструктуры, соединяющей пригороды с городскими центрами, наличие более доступных вариантов жилья, акцент на качестве жизни и местных удобствах в городах-спутниках, обилие незастроенных земель для нового строительства, а также активные экономические стимулы и политика местных и региональных властей. Понимание этих важнейших факторов необходимо для градостроителей, политиков и застройщиков, стремящихся стимулировать устойчивое развитие городов-спутников в будущем.This article examines the key factors contributing to the growth and expansion of satellite cities around the world. The key factors include the decentralisation of employment opportunities from central cities, improved transport infrastructure connecting suburbs to urban centres, the availability of more affordable housing options, an emphasis on quality of life and local amenities in satellite cities, an abundance of undeveloped land for new development, and active economic incentives and policies by local and regional authorities. Understanding these critical factors is essential for urban planners, policy makers and developers seeking to encourage sustainable satellite city development in the future.
Machine learning methods in the analysis of economic conditions
Authors: Труженников Н.А. , Сорокин С.А. , Косникова О.В. 
Published: June 2024

В статье проанализированы особенности методов машинного обучения в анализе экономической конъюнктуры, сущность машинного обучения. На практике использованы методы машинного обучения при анализе экономической конъюнктуры АПК Краснодарского края по экономическим зонам. Даны рекомендации по дальнейшему развитию экономической конъюнктуры АПК региона в разрезе экономических зон.
This scientific article examines the features of machine learning methods in the analysis of economic conditions. The essence of machine learning and its most common methods for analyzing economic processes are investigated. In practice, machine learning methods were used to analyze the economic situation of the agro-industrial complex of the Krasnodar Territory by economic zones. As a result of the analysis, recommendations are given for the further development of the economic situation of the agro-industrial complex of the region in the context of economic zones.
Relationship between Financial Literacy and Investment Behavior among Millennials
Authors: Bagama Ian 
Published: June 2024

Purpose: The aim of the study was to assess the relationship between financial literacy and investment behavior among millennials.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Several studies have highlighted a significant relationship between financial literacy and investment behavior among millennials. Findings suggest that millennials with higher levels of financial literacy tend to exhibit more proactive investment behaviors, such as saving for retirement, diversified portfolio allocation, and increased participation in the stock market. Additionally, greater financial literacy correlates with better understanding of investment products and associated risks, leading to more informed decision-making. Conversely, those with lower financial literacy are more prone to behavioral biases, such as overconfidence or risk aversion, which can hinder their investment activities. These findings underscore the importance of promoting financial education initiatives targeted at millennials to enhance their investment knowledge and ultimately improve their financial well-being.
Implications to Theory, Practice and Policy: Behavioral finance theory, human capital theory and social learning theory may be use to anchor future studies on assessing the relationship between financial literacy and investment behavior among millennials. Financial institutions, educational institutions, and employers should collaborate to develop tailored financial education programs targeting millennials. Policymakers should advocate for the integration of financial literacy into formal education curricula at both the secondary and tertiary levels.
Relationship between Market Orientation and Innovation Performance in Technology Startups in Kenya
Authors: Odello Jeccinta 
Published: June 2024

Purpose: The aim of the study was to assess the relationship between market orientation and innovation performance in technology startups in Kenya.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: A study investigating the relationship between market orientation and innovation performance in technology startups in Kenya found significant correlations between the two variables. Market orientation, defined as the extent to which a firm focus on understanding and meeting customer needs, was positively associated with innovation performance among the startups surveyed. The findings suggest that technology startups that prioritize gathering market intelligence, understanding customer preferences, and

adapting their strategies accordingly are more likely to achieve higher levels of innovation. This underscores the importance of market-driven approaches in fostering innovation within the Kenyan technology startup ecosystem. The study highlights the potential benefits of aligning business strategies with market demands to enhance innovation outcomes and ultimately, the competitiveness of startups in the dynamic technology sector.
Implications to Theory, Practice and Policy: Resource-based view, dynamic capabilities theory and absorptive capacity theory may be use to anchor future studies on assessing the relationship between market orientation and innovation performance in technology startups in Kenya. Technology startups should prioritize the development and implementation of market-oriented strategies to drive innovation performance. Policymakers should recognize the importance of supporting market-oriented entrepreneurship through conducive regulatory frameworks and support programs.
Rol del periodista social frente al delito de explotación sexual de las personas menores de edad
Authors: Melo Hoyte Gricelda Esther 
Published: June 2024

Los medios de comunicación en conjunto con los periodistas tienen un rol fundamental en la visibilización de temas sociales como la migración, los derechos humanos, la trata de personas, la explotación sexual de menores de edad, entre otros. Esta investigación científica se ha propuesto analizar la preparación que reciben los periodistas para el manejo de información relacionada a este delito; así como la labor de los medios en cuanto a la sensibilización de la sociedad por medio de campañas mediáticas difundidas a través de sus plataformas. El estudio tiene un alcance de 53 periodistas de distintos medios de comunicación social, empleando una serie de conceptos que permite realizar una investigación explicativa por medio de la cual se busca establecer las causas de un hecho. Sin embargo, también la investigación es pura y básica teniendo como meta la generación de nuevos planteamientos; además de aspectos descriptivos y exploratorios para lograr un mayor acercamiento a la realidad del tema. Tras la aplicación de un cuestionario, los resultados obtenidos indican que existe una falta de capacitación de los periodistas en cuanto al tratamiento de las noticias relacionadas a la explotación sexual de menores. La implementación del instrumento reveló un mayor cumplimiento a la protección de las víctimas en cuanto al uso de las imágenes. Como parte de las conclusiones, se requiere mayor sensibilización para proteger los derechos humanos de aquellas personas más vulnerables; además, de un compromiso para hacer despertar a la colectividad con acciones que ayuden a salvar vidas, vencer poderes económicos y políticos que se encuentran detrás de estas redes criminales que acaban con la integridad mental, física y emocional de nuestros niños niñas y adolescentes.
extralimitación manifiesta en el ejercicio del Derecho como presupuesto del Abuso del Derecho
Authors: Cuadra Fedee Marcial 
Published: June 2024

RESUMEN
El Derecho, como ordenamiento y sistema coherente, unitario, no puede funcionar en donde los particulares lo perciban como un instrumento para generar amedrentamiento o intimidación. Cuando este pierde su característica, la objetividad y su connotación como método herero compositivo para la solución de los conflictos convertidos en litigios, es de entender que este afecte el denominado Estado de Derecho. El artículo analiza jurídicamente la extralimitación manifiesta en el ejercicio del derecho como presupuesto del abuso del Derecho en el contexto jurídico nacional e internacional, mediante un estudio documental no experimental, descriptivo. De los resultados surge que hay dos formas de incurrir en la extralimitación en el ejercicio del Derecho, de lo que se concluye que la extralimitación en el ejercicio del Derecho ocurre al rebasar los límites legales, causando perjuicio a otros derechos, pero que también se da al utilizar normas para obstaculizar el ejercicio de derechos ajenos, fundamentos se les considera como un tema propio de la Teoría General del Derecho, resultando aplicable a todo el ámbito del Derecho, por lo que se trata de un postulado general con aspectos comunes y otros específicos, según la rama a la que se refiera.
Enhancing business intelligence in e-commerce: Utilizing advanced data integration for real-time insights
Authors: Omorinsola Bibire Seyi- Lande  , Ebunoluwa Johnson  , Gbenga Sheriff Adeleke  , Chinazor Prisca Amajuoyi  , Bayode Dona Simpson  
Published: June 2024

This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, data virtualization, API integration, and streaming data integration, e-commerce businesses can achieve a comprehensive, unified view of their data. The integration of real-time data enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, and improved customer support. Despite challenges such as data silos, data quality issues, scalability, security, and technical complexity, solutions like data governance, cloud computing, and advanced analytics tools can address these obstacles. Future trends, including artificial intelligence, machine learning, edge computing, block chains, and data fabric, promise to further transform BI in e-commerce. Ultimately, advanced data integration and real-time insights are essential for e-commerce companies to stay competitive, optimize operations, and enhance customer satisfaction. In the fast-paced and competitive world of e-commerce, the ability to make quick, informed decisions is crucial for success. Business Intelligence (BI) plays a vital role by transforming vast amounts of data into actionable insights that drive strategic decisions and operational efficiency. This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, data virtualization, API integration, and streaming data integration, e-commerce businesses can achieve a comprehensive, unified view of their data. The integration of real-time data enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, and improved customer support. Despite challenges such as data silos, data quality issues, scalability, security, and technical complexity, solutions like data governance, cloud computing, and advanced analytics tools can address these obstacles. Future trends, including artificial intelligence, machine learning, edge computing, block chain, and data fabric, promise to further transform BI in e-commerce. Case studies from leading e-commerce companies illustrate the practical benefits of implementing these advanced techniques, showcasing significant improvements in operational efficiency and customer satisfaction.
Keywords: Business Intelligence, E-commerce Analytics, Data Integration, Real-Time Insights.
PENERAPAN PENGELASAN METODE SMAW MELALUI KEGIATAN KKNT PEMBUATAN TEKNOLOGI TEPAT GUNA DI DESA MANANG
Authors: Margono Bambang , Sriyanto  
Published: June 2024

ABSTRAK
KKNT atau Kuliah Kerja Nyata Tematik merupakan suatu kegiatan atau pendidikan yang diperoleh saat masa kuliah, pendidikan ini diberikan dengan cara memberi mahasiswa pengalaman belajar hidup dilingkungan masyarakat yang terletak diluar kampus. Teknologi merupakan sarana menyeluruh untuk menyediakan barang-barang yang diperlukan bagi pembangunan pedesaan melalui pemberdayaan masyarakat di berbagai sektor yang didukung oleh penerapan dan pengembangan teknologi tepat guna. Pemilihan teknologi tepat guna yang dapat dikembangkan di Desa Manang adalah pengelasan metode SMAW (Shielded Metal Arc Welding). Setelah dilakukanya observasi, permasalahan yang sering terjadi di desa Manang yakni masih kurangnya kesadaran mengenai kebersihan lingkungan di sekitar. Hal ini diperlihatkan dengan banyaknya sampah yang menumpuk pada aliran sungai serta dipinggir jalan sekitar. Kegiatan KKNT ini lebih mengedepankan pada pembuatan produk teknologi tepat guna yang bertujuan untuk menangani masalah sampah yang berada dialiran sungai kali tumpuk dan mengatisipasi keamanan kolam dari anak anak PAUD dan TK sehingga memudahkan kegiatan masyarakat. Kegiatan ini berupaya untuk memudahkan masyarakat dalam hal melestarikan lingkungan sekitar serta memberikan solusi dari permasalahan sampah agar terciptanya lingkungan bersih dan sehat di desa Manang.
Kata Kunci : KKN Tematik , Sampah , Pengelasan , Las SMAW, Teknologi, Teknologi Tepat Guna
Variable speed wind turbine based on doubly fed induction generator using genetic algorithms
Authors: Cheikh Cherif , M’hamdi Benalia , Khadar Saad , Abderrahmane Amari 
Published: June 2024

Optimization of the control of doubly fed induction generators (DFIGs) is essential for many applications, such as renewable energy systems, industrial automation, and electric cars. Unfortunately, the dynamic and non-linear character of DFIG frequently makes it difficult for conventional control techniques to adjust, which results in less-than-ideal performance. To overcome these obstacles, this paper presents an optimized fuzzy speed control of a doubly fed induction wind generator using a genetic algorithm, which has more advantages than its counterpart PI speed controller. In this study, the modeling of generator in the Park's frame was presented, as well as its indirect vector control applied to the stator flux. Then, to guarantee tracking of the ideal operating point in real-time and to produce the most electricity possible for varying wind speeds, we used a fuzzy PI speed controller. To improve the sizing operation of this controller, we opted for the genetic algorithm technique combined with one of the local search methods, which facilitated the search and reduced the effort compared to the trial-and-error sizing method. Furthermore, this made it possible for the wind system to track the optimal power point maximum with good performance. The simulation results of the suggested control displayed by MATLAB-Simulink illustrate the effectiveness and adaptability of the proposed control scheme across different operating conditions. The analysis of the results showed good performance for speed, small voltage and current ripple when using the fuzzy PI speed controller with genetic algorithm technique. offering promising prospects for practical implementation in variable speed wind turbine applications.
Research on Multi-Beam Line Finding Problem and Optimal Line Finding Path based on Exhaustion Method
Authors: Lu Yuxuan 
Published: June 2024

In this paper, the multi-beam line measurement problem is studied, solving the relevant data of different seabed slope and line measurement, and establishing a multi-beam line measurement model based on it, simulating the work of multi-beam line measurement, using ergodic and iterative algorithms, to achieve the best line measurement path design and calculation of uneven sea area. First of all, the mathematical model of multi-beam line surveying with variable direction of line surveying is obtained through geometric relation and sine and cosine theorem, etc., and the coverage width , overlap rate between lines and sea depth of measuring ships at different positions are solved. Secondly, the characteristics of sea terrain are analyzed, and the variation law of the coverage width of the measured line with the angle of the measured line direction is explored. Finally, whether the beginning and end points of the survey line reach the north and south banks is classified and discussed, and the traversal calculation method is designed to exhaustively explore all possible points and solve the minimum points.