bluuebunny/crossref_metadata_2025 huggingface dataset:
Parisuhteen ja seksuaalisuuden merkitys eturauhassyövän hormonihoidossa olevien ikääntyneiden miesten elämässä ‒ laadullinen pitkittäistutkimus
Authors: Ponsimaa Mirjami , Roos Mervi , Ojala Hanna , Murtola Teemu , Harju Eeva
Published: April 2024

Eturauhassyöpä on ikääntyneiden miesten yleisin syöpäsairaus. Parisuhteen merkitystä eturauhassyöpään sairastuneiden ikääntyvien miesten elämässä on tärkeää tutkia, sillä eturauhassyövän hoito ja etenkin hormonihoito vaikuttaa merkittävästi sairastuneiden seksuaalisuuteen ja oletettavasti parisuhteeseen. Tässä laadullisessa pitkittäistutkimuksessa kuvaamme eturauhassyövän vuoksi hormonihoidossa olevien ikääntyneiden miesten parisuhdetta heidän näkökulmastaan. Tutkimukseen osallistuneita 65–81-vuotiaita miehiä (n=10) haastateltiin kolmessa eri hormonihoidon vaiheessa puolistrukturoidulla teemahaastattelulla. Aineisto koostui 30 yksilöhaastattelusta. Analysoimme aineiston induktiivisella sisällönanalyysillä. Parisuhdetta ja sen muutoksia kuvasimme neljällä yläluokalla: seksuaalisuus muuttuu monimuotoiseksi parisuhteessa, muuttuneen elämäntilanteen merkitys vaihtelee parisuhteessa, yhteisen kanssakäymisen merkitys voimistuu ja puolison tuen merkitys vaihtelee sairausarjessa. Muutokset parisuhteessa ja seksuaalisuudessa sekoittuvat helposti ikääntymisen tuomiin muutoksiin. Ikääntyneillä eturauhassyöpään sairastuneilla miehillä saattaa olla huolia seksuaalisuuteen liittyen. Terveydenhuollon ammattilaisten tulisi huomioida nämä huolet ja ottaa ne aktiivisemmin puheeksi hoidon aikana. Ikääntyneitä miehiä tulisi kannustaa avoimeen ja vastavuoroiseen kommunikointiin parisuhteessa. Koska eturauhassyöpään sairastumisen myötä puolisolta saatu tuki korostuu, tulisi terveydenhuollon ammattilaisten varmistaa myös puolison jaksaminen hoitojen aikana.
Struktural Fungsional dalam Pengelolaan Desa Wisata Simarasok di Nagari Simarasok Kecamatan Baso Kabupaten Agam
Authors: Maharani Syabilla , Magriasti Lince
Published: April 2024

The background to this research is the less than optimal management of the Simarasok Tourism Village. The type of research is a qualitative descriptive approach. The aim of this research is to analyze the Structural Functional approach in Management of the Simarasok Tourism Village in Nagari Simarasok, Baso District, Agam Regency. The results of the research show that: The Structural Functional Approach in Management of the Simarasok Tourism Village in Nagari Simarasok, Baso District, Agam Regency from four components, namely Adaptation, Goal attainment (Achievement of goals), Integration (Integration), and Latency (Latency or pattern maintenance) has been achieved. run by a larger social system, namely the Simarasok Tourism Village community, meaning that the Simarasok Tourism Village social system is able to fulfill its role and function. However, there are things that need to be improved in the Goal Attainment section, inadequate facilities and infrastructure, promises that are still electronic, resources that are not yet competent in the tourism sector.
Countering Hybrid Threats: Challenges and the Role of Defense Science
Authors: Sarjito Aris
Published: April 2024

This study examines hybrid threats' evolution, national security implications, and defense science's role in countering and strengthening defense capabilities using secondary data analysis. The research aims to identify key trends and strategies for countering hybrid threats effectively, with a focus on the role of defense science in enhancing national defense capabilities. Qualitative research methods are employed to analyze existing literature and case studies on hybrid threats and defense science contributions. Findings suggest that hybrid threats have evolved significantly in the contemporary security landscape, necessitating adaptive and innovative defense strategies. Defense science plays a critical role in developing advanced technologies and methodologies to counter hybrid threats, including cybersecurity measures, information warfare tactics, and strategic communication strategies. Recommendations are provided for policymakers and defense practitioners to strengthen defense capabilities and mitigate the challenges of hybrid warfare, emphasizing the importance of interdisciplinary collaboration, international cooperation, and human capital development. In conclusion, the study underscores the importance of integrating insights from defense science into defense planning and preparedness efforts to effectively counter hybrid threats and safeguard national security.
Collaboration and Student Motivation Achievement In Physics Learning
Authors: Tambunan Maranatha , Sihite Koster
Published: April 2024

Teaching and learning activities that tend to be monotonous and passive lead to low student interest and student achievement. Therefore, this study aims to determine fellow collaboration and achievement of student motivation in learning physics. This research is applied with a learning model in six phases that can increase collaboration, motivation and student achievement, namely choosing topics, cooperative planning, implementation, analysis and synthesis, presentation, evaluation. This type of research is a quasi experiment. The instrument used was a student's conceptual knowledge test in the form of a description of 8 items and student activity sheets namely experimental activities. The results showed that collaboration with good students will affect the achievement of student motivation in learning physics.
Application of Test Instrument Designs for Momentum and Impuls In Achieving The Conceptual and Procedural Knowledge of High School Students
Authors: Maharani Nur , Manik Imaniyah
Published: April 2024

This study aims to develop momentum and impulse material test instruments on the achievement of high school students' conceptual and procedural knowledge learning outcomes. The research method used in the design of test instruments is to determine the purpose of the test, compile the grid, choose the form of the test instrument, determine the length of the test instrument, validate the test and test the test to find out the test results. The test instrument was used to assess students' conceptual and procedural knowledge abilities on the material of momentum and impulses. The subject of the study was the test instrument. This research successfully developed a test instrument for momentum and impulse material on the achievement of learning outcomes of high school students' conceptual and procedural knowledge.
IMPROVEMENT OF LEARNING ACTIVITIES AND ACHIEVEMENT OF STUDENT LEARNING OUTCOMES IN LEARNING PHYSICS USING INQUIRY TRAINING LEARNING MODEL
Authors: Rahayu Puji
Published: April 2024

Teaching and learning activities not only require students to obtain good cognitive learning outcomes but also require students to be able to play an active role in learning so that students have good attitudes and skills as well. Student activeness can be seen from the activities or activities during learning. Therefore, this study aims to determine the increase in student learning activities and student learning outcomes using the Inquiry Training learning model. This type of research is a quasi experiment. The instrument used was the observation sheet in accordance with the learning model applied and the learning outcome test in the form of an essay totaling 10 items. The results showed that an increase in student learning activities would affect the achievement of student learning outcomes.
Corte Suprema con agenda verde
Authors: Piazzi Carolina , Fernández Cristian
Published: April 2024

La Corte Suprema de Justicia de la Nación (Argentina) es uno de los altos tribunales a nivel internacional que ha asumido un liderazgo notable en materia de tutela del ambiente, proceso que se inició con la sentencia en la causa Riachuelo-Mendoza, que oficia de punto de partida del trabajo.
Este trabajo indaga en el perfil “verde” de la Suprema Corte a partir de variables tales como: la composición que adoptó la CSJN en los últimos años y el perfil ambiental de algunos de sus magistrados; disposiciones administrativas internas referidas a su interés por el ambiente; ciertos fallos de los últimos años referidos a la problemática ambiental, algunos de gran trascendencia pública, que contienen nuevas tendencias argumentativas. Para esto, se realiza un análisis documental, casuístico y comparativo de los fundamentos de las últimas sentencias de la CSJN sobre ambiente; se revisan los dispositivos administrativos creados con fines de organizar la tarea interna relativa a la temática ambiental; se recupera información sobre los perfiles académicos y políticos de los ministros de la Corte.
Las conclusiones apuntan a destacar que la Corte ha ingresado en la categoría de “Corte verde”, a partir de su composición y de un perfil especializado en Derecho Ambiental que viene construyendo desde, al menos, el 2008. Además, existe una conexión evidente entre la trayectoria académica de algunos magistrados y el activismo judicial en cuestiones socio-ambientales que ha caracterizado a la Corte en los últimos años.
Autonomía de la voluntad y dignidad humana en el campo contractual
Authors: De Dios Flavio
Published: April 2024

En el Derecho Agrario moderno, el vínculo negocial que persigue una finalidad productiva, se rige por el principio de la libertad contractual, pero al establecerlas, las partes contratantes no pueden obviar los alcances y límites impuestos por la ley, el orden público, la moral y las buenas costumbres que el actual CCyCN impone y deben ser respetadas, reconociendo al derecho como generador del cambio social y medio por excelencia que organiza la convivencia.
Respuesta a “Tres comentarios sobre La fantasía de la historia feminista de Joan W. Scott”
Authors: Scott Joan W.
Published: April 2024

Esta comunicación contiene la lectura que Joan W. Scott elaboró como respuesta a los tres comentarios que Juan Ignacio Veleda, Rosa Belvedresi y Adriana Valobra realizaron sobre su libro La fantasía de la historia feminista, traducido por primera vez al español y publicado en marzo de 2023 por Editorial Omnívora. Se presenta el texto en inglés y luego su traducción al español.
Ciencia sexo-disidente y discursos de odio. Una reflexión situada sobre la producción de conocimiento científico desde las disidencias sexo-genéricas
Authors: Saxe Facundo
Published: April 2024

Esta intervención aborda, desde una perspectiva situada, los procesos de desinformación y tergiversación de los que fue objeto un sector de la ciencia pública en Argentina durante 2023. En el ensayo se realiza un recorrido de una serie de hechos puntuales vinculados a la propagación de discursos de odio hacia las ciencias humanas y sociales en diversos medios. El trabajo presenta la descripción de una serie de derivas comunicativas e informativas relacionadas con trayectorias biográficas y profesionales. Asimismo, en este escrito se piensan los efectos a nivel subjetivo, colectivo y simbólico del odio hacia la ciencia sexo-disidente.
Andújar Andrea, Caruso Laura y Palermo Silvana (Comps.) (2022). Género, trabajo y política. Experiencia, sociabilidad y protesta en la Argentina del siglo XX. Buenos Aires: Ediciones Imago Mundi, 268 páginas
Authors: Ramírez Natalia Andrea
Published: April 2024

Lectura crítica de Andújar Andrea, Caruso Laura y Palermo Silvana (Comps.) (2022). Género, trabajo y política. Experiencia, sociabilidad y protesta en la Argentina del siglo XX. Buenos Aires: Ediciones Imago Mundi, 268 páginas
América Latina y el Sur Global en tiempos sin hegemonías
Authors:   Profesora, Universidad Torcuato Di Tella (UTDT), Buenos Aires (Argentina), e investigadora asociada, IESP/UERJ, Rio de Janeiro (Brasil), Hirst Mónica , Russell Roberto ,   Profesor, UTDT y presidente, Fundación Vidanta (México), Sanjuan Ana María ,   Investigadora, Universidad Central de Venezuela, Caracas (Venezuela), Tokatlian Juan Gabriel ,   Profesor plenario, UTDT
Published: April 2024

Este artículo examina el estado, la configuración futura y las formas de gestión del orden internacional, así como la inserción de América Latina en dicho orden, para comprender su fase actual y reflexionar sobre su posible carácter y evolución. Para ello, se emplea la noción de «orden no hegemónico», cuyo inicio no tiene fecha porque obedece a una conjunción de procesos de duración y efectos diferentes. Se sostiene que el orden en formación tendrá dos líneas de fractura principales: un clivaje entre dos Nortes opuestos y diferentes –Norte 1 y Norte 2– y otro clivaje entre ambos Nortes y un Sur Global diverso en recursos y configuraciones de poder del que forma parte América Latina, con especificidades propias. Se aborda la condición singular de la región latinoamericana que, en la búsqueda de la consolidación de su autonomía, mantiene una compleja dinámica triangular América Latina-Estados Unidos-China.
La Asociación Económica Integral Regional (RCEP) en Asia-Pacífico desde la perspectiva jurídica
Authors:   Catedrático (A) de Derecho de la Unión Europea, Universitat Pompeu Fabra (Barcelona), Cienfuegos Mateo Manuel ,   profesor afiliado, UPF Barcelona School of Management
Published: April 2024

La Asociación Económica Integral Regional, más conocida como la RCEP (por sus siglas en inglés), es un acuerdo de libre comercio firmado por 15 países de la región de Asia-Pacífico en noviembre 2020 y en vigor desde enero de 2022. Tras una presentación general de este acuerdo, este artículo examina las negociaciones y la situación actual de la RCEP para, a continuación, centrarse en su contenido básico, especialmente desde una perspectiva jurídica, pues se analiza el marco institucional, la regla de decisión, sus fuentes jurídicas y el sistema de solución de controversias, aunque sin relegar totalmente su estudio desde un punto de vista económico.
Divergencias y convergencias de los debates autonomistas en América Latina y la Unión Europea
Authors:   Profesora de Relaciones Internacionales, Universidad Panamericana, Campus Guadalajara/México, Álvarez von Gustedt Anuschka , Gratius Susanne ,   Profesora de Relaciones Internacionales, Universidad Autónoma de Madrid
Published: April 2024

En un entorno internacional de creciente rivalidad entre China y Estados Unidos, América Latina y la Unión Europea se encuentran en una posición incómoda entre ambas potencias, enfrentando un retorno al sistema westfaliano de los estados-nación que debilita, dentro de las diferencias, sus respectivas identidades regionales. Ante los nuevos desafíos internacionales, este artículo explora, mediante un análisis cualitativo y comparativo, el discurso sobre autonomía en la política exterior de ambas regiones, examinando sus objetivos, prioridades y consecuencias regionales y relación birregional.
América Latina en el nuevo escenario internacional: ¿qué espacio hay para el regionalismo y la cooperación regional?
Authors:   Profesora agregada, coordinadora del Máster en Relaciones Internacionales, Institut Barcelona d'Estudis Internacionals (IBEI)., Bianculli Andrea C.
Published: April 2024

El sistema internacional atraviesa una etapa de transición, marcada por el debilitamiento del multilateralismo, la contestación del orden liberal y la consolidación de nuevos liderazgos globales; además, distintas crisis transfronterizas, como la pandemia de la COVID-19, han profundizado los efectos de estos cambios a nivel regional. En este contexto, ¿cuál es el espacio para la cooperación regional en América Latina? En tanto herramienta de concertación regional y de integración en los flujos y dinámicas internacionales, el regionalismo evidencia logros y retos pendientes. En términos analíticos, el artículo plantea una aproximación que permite examinar el conjunto de intereses, ideas e instituciones en juego a nivel regional en América Latina. El argumento central es que la dinámica cambiante del regionalismo resulta del modo en que los intereses de los estados interactúan con las ideas sobre la región en un entorno institucional específico a lo largo del tiempo.
POLIGAMI DALAM TINJAUAN HIFDZ AL-NĀSL
Authors: Karimullah Suud Sarim
Published: April 2024

When talking about polygamy, it is often seen from the existence and perspective of meeting the biological needs of men. Polygamy is seen as a form of unequal relationship in marriage, so the losers are women. Polygamy always creates a negative perception even though many polygamists are still carried out illegally. Regarding the problem of polygamy, it is necessary to conduct a review that looks at the benefits to produce a comprehensive study. So, in this case, the issue of polygamy is studied through an examination of hifdz al-nāsl, which is one of the concepts of maqashîd al-shari'āh. At the same time, library research is this type of research with the nature of a descriptive-analytical study that systematically describes the facts found accurately and carefully through a review of hifdz al-nāsl. This research concludes that polygamy is a wisdom given by Allah to humans and does not violate the purpose of maqashîd al-shari'āh to continue protecting offspring (hifdz al-nāsl) while still producing because a man will still be able to produce even though they are old. Meanwhile, women are limited by menopause so that when that period has arrived, the female reproductive organs can no longer function generally for fertilization.
Optimizing retail prosperity: Strategic working capital management and its impact on the global economy
Authors: Ramadan Abdulhadi , Morshed Amer
Published: April 2024

This study explores the critical role of the retail sector in the global economy and the importance of working capital management within retail businesses. Recognizing retail’s influence beyond just income generation, the research examines its impact on economic stability, job creation, and national GDP, and how it links industries such as manufacturing and logistics. Employing a blended-methods approach, the study integrates quantitative analysis using AMOS software with qualitative insights from interviews with financial managers and retail experts. Key focus areas include cash flow management, market demand, and supplier relationship management in the context of working capital management. Findings highlight the necessity of effective working capital management in maintaining financial stability, optimizing shareholder wealth, and ensuring long-term business viability in the retail sector. Strategies for enhancing profitability, such as improving supplier relationships and adapting to market demands, are identified. This research contributes to understanding the economic impact of the retail sector and the intricacies of working capital management. It offers insights for policymakers, retail managers, and academics, emphasizing the need for supportive retail industry measures and effective financial management practices. The study fills a gap in literature and sets a foundation for future research in this critical area of economic studies and retail management.
Ganarse la vida criando niños expósitos (Río Grande de São Pedro, Brasil, siglos XVIII-XIX)
Authors: Silvia Volpi Scott Ana , Fachini da Silva Jonathan , Scott Dario
Published: April 2024

El abandono de niños fue un fenómeno generalizado en el universo católico occidental de los siglos XVIII y XIX. En la América portuguesa y después, en el Imperio de Brasil, como determinaba la legislación, los concejos tenían el encargo de tomar medidas para garantizar la asistencia a estos niños. De esta manera, financiaban su sustento y vestimenta, haciendo a los hombres, pero principalmente a las mujeres, como nodrizas, protagonistas de esta asistencia. Dado que esta financiación generó un actividad con ganancias pecuniarias, buscamos analizar cómo las mujeres de diferentes segmentos sociales ingresaron y desempeñaran esta actividad en la Capitania-Provincia de Rio Grande de São Pedro, ubicada en el extremo sur de Brasil, entre los años de 1773 y 1828. Nuestro estudio se plantea desde la perspectiva de la Historia de la Familia y con métodos de la Demografía Histórica y de la Historia Social de la Población.
El sector fitness al interior de México para 2024: análisis desde sus distintas regiones
Authors: Gómez Chávez Lino Francisco Jacobo , Gómez Figueroa Julio Alejandro , Cortés Almanzar Paola , Pelayo Zavalza Adrian Ricardo , López Haro Jorge , Meza Segura Rodrigo , Ontiveros Hernández Zeus Omar , Aguirre Rodríguez Luis Eduardo
Published: April 2024

El objetivo del estudio es analizar, comparar y reflexionar sobre las tendencias del fitness en diferentes localidades de México, abarcando cuatro de sus regiones. El estudio replica la metodología de Fitness Trends From Around the Globe en el contexto mexicano, y se desarrolló en cinco etapas: adaptación de la metodología al español y la cultura local, selección de los estados participantes y la colaboración con profesionales universitarios del área, análisis. de las tendencias fitness a nivel nacional y en los estados participantes, análisis de los contextos locales e integración del documento final. Al analizar las cinco tendencias más destacadas del fitness por estado, se encontraron un total de 13 tendencias diferentes que emergen: entrenamiento de caminata, running o ciclismo, programas de ejercicio y pérdida de peso, entrenamiento personal, ejercicios acuáticos, sesiones de estiramiento autoguiadas o asistidas, entrenamiento de fuerza, entrenamiento funcional, programas de entrenamiento y alimentación, entrenamiento específico para un deporte, creación de un gimnasio en el hogar, gimnasios con costos y membresías económicas, programas de ejercicio para personas con enfermedades crónicas y entrenamiento de estimulación muscular eléctrica (EMS). Los resultados del estudio revelan las diferencias culturales en cuanto a gustos y necesidades en programas de acondicionamiento físico entre las distintas regiones de México.
Enseñar historia en México: percepciones docentes en la Educación Primaria
Authors: Castro-Torres Anacary Guadalupe , Martínez-Rodríguez Rosendo
Published: April 2024

La presente investigación tiene como propósito principal la comprensión de las concepciones del profesorado de Educación Primaria en México respecto a la Historia como asignatura y las finalidades educativas que la constituyen. El trabajo se realizó mediante una metodología cualitativa, contando con la participación de 25 docentes de dos escuelas primarias ubicadas en distintos contextos socioeconómicos en México, quienes respondieron un cuestionario de forma anónima. Una vez analizada la información de este primer instrumento, se realizó una entrevista semiestructurada a cuatro de los docentes para poder profundizar en sus discursos. Entre los hallazgos más destacados se muestra una tendencia hacia concepciones positivistas de la historia, que influyen en las finalidades educativas y en la preferencia por desarrollar contenidos clásicos de la historia mexicana. Esta concepción cerrada del pasado y de los contenidos educativos condiciona el tipo de aprendizajes históricos que pueden desarrollar los profesores en sus clases y entorpece una posible enseñanza competencial de la historia, basada en el desarrollo del pensamiento histórico.
Transición de preescolar a primaria: perspectiva familiar en República Dominicana
Authors: Padilla Faneytt Emelinda
Published: April 2024

La transición de educación inicial a primaria afecta cognitiva, académica, social y psicológicamente a todos los participantes del proceso educativo en el corto y largo plazo. Esta transición ha sido ampliamente estudiada en el ámbito internacional, pero no se ha analizado en República Dominicana desde la perspectiva familiar. Este estudio busca analizar, cualitativamente, la percepción de la transición de preescolar a primaria de padres de Santo Domingo, República Dominicana. Es un estudio de casos exploratorio y cualitativo. Se realizaron entrevistas y grupos focales a 178 participantes de una escuela pública y una privada entre 2021-2023. Los datos se analizaron usando el programa MAXqda®, la triangulación y la comparación constante. Los participantes perciben la transición como un proceso educativo que afecta a niños y familias emocional, social, cognitiva y académicamente. Sostienen que la escuela es la principal responsable de la adecuada implementación de la transición. Aunque realizan actividades para apoyar la transición en el hogar, los padres reconocen que no se involucran en las actividades escolares de transición debido a la falta de información y formación. Por tanto, es necesario desarrollar programas de educación familiar y diseñar materiales educativos sobre la transición.
ChatGPT Analysis of Strengths and Weaknesses in English Writing and Their Implications
Authors: Li Zheng , Huang Qiuheng , Liu Jiying
Published: April 2024

The emergence of the ChatGPT language model has sparked significant interest in educational circles, thanks to its capabilities in generating text, understanding context, and engaging in logical reasoning and conversation. This study explores the impact of ChatGPT on English writing, integrating statistical language models and TF-IDF word frequency analysis to develop a method for identifying and scoring deviations in English essays. Our findings demonstrate the model’s high accuracy in detecting digressions across three categories (88%, 73.33%, and 60%), and its scoring closely aligns with human assessments, with a mean error of just 5.17 and a Pearson correlation coefficient of 0.8024. This evidence supports the model’s reliability and significant potential for application in English writing evaluation.
Quality Innovation Cultivation Strategy for College Students in the Internet Era Oriented on the Cultivation of Innovative Ability
Authors: Zhou Changsheng , Li Chunmei
Published: April 2024

Addressing the imperative of cultivating innovation and learning quality in 21st-century college education, this research proposes a strategic CTDE model to enhance college students’ innovative capacities. By implementing a personalized information mining technique, we have established a sophisticated user profile model that strategically distributes learning resources geared towards innovation. The methodology integrates factor analysis with K-means clustering for a customized learning experience. A targeted survey reveals notable achievements: a standout innovation ability score of 3.92 for an individual student and a class-wide enhancement, with improvements ranging from 14% to 21% after detailed work evaluations. These findings affirm the CTDE model’s efficacy in fostering student innovation and quality learning.
Abnormal User Behavior Detection for Industry Big Data Analysis
Authors: Wang Zhe , Hu Junhua
Published: April 2024

The security of user information and the precision of user services are paramount, necessitating effective detection of abnormal user behavior in vast datasets. This study introduces the QGAN-BDE algorithm, which leverages a quantum generative adversarial network combined with a novel approach for detecting and evaluating abnormal user behavior. Through a feature matching strategy, the algorithm ensures close data alignment between the generator and discriminator. At the same time, the integration of a classical convolutional neural network within the BDE network assesses user behavior abnormalities. Setting distinct thresholds for abnormal behavior and threats enables the differentiation between normal and abnormal activities. Utilizing a dataset and financial stock log data for simulation, the proposed method achieves an AUC value of approximately 0.912 with small negative data samples. Additionally, it records generator and discriminator loss values within the ranges of [1.05,1.55] and [0.49,0.61], respectively, and demonstrates over 80% accuracy in detecting financial stock log anomalies. This method’s reliance on comprehensive big data allows for an in-depth analysis of user behavior, facilitating the timely identification and management of abnormalities.
Construction of urban livability evaluation index system by principal component analysis combined with entropy value method
Authors: Yang Jiaoshi
Published: April 2024

As cities become central hubs for human civilization and economic activities, enhancing urban livability is a critical challenge amid rapid global urbanization. This paper introduces a novel evaluation framework for urban livability, merging principal component analysis with the entropy value method. Focusing on economy, culture, ecological environment, infrastructure, and social welfare as critical dimensions, we develop and empirically test livability indices using Province M as a case study. Results reveal a significant cumulative variance contribution of 97.511% across the dimensions, with Province M’s livability score improving from 3.8 in 2015 to 4.7 in 2022, marking an overall increase of 0.8091. This research offers valuable insights into assessing and enhancing urban livability.
Research on the Application of Blockchain Technology in the Carbon Trading Market of Substations
Authors: Liu Shasha , Liu Jun , Li Yuelong , Zhou Cong , Wang Congli
Published: April 2024

This study examines the entire lifecycle carbon emissions from the construction of substations, emphasizing the demand response from the carbon emission trading market. We use blockchain technology to establish an intelligent contract framework to manage and control substation configurations within digital substations’ physical environments. Based on Blockchain, a regional substation intelligent control model is developed to facilitate optimal decision-making in the carbon trading market. Simulation analyses reveal that adjustments in capacity to 150MW can enhance the peak range from 041.2% to 042.0%, indicating a 0.8% improvement in efficiency. Additionally, this research assesses the carbon emission savings, correlating the volume of carbon transactions to the verification time, particularly noting a significant increase in time cost within the first 200 transactions. This paper contributes to understanding how digital technologies can optimize carbon emissions management and energy savings in substation construction.
Research on the Construction of Campus Security Prevention and Control System Based on Internet of Things Technology
Authors: Peng Yuanru , Hu Li
Published: April 2024

Campus safety is related to the healthy growth of students, and the research focus of this paper is to explore the impact of Internet of Things (IoT) technology on campus safety prevention and control. Based on the correlation between ISM and DEMATEL methods, this paper constitutes an integrated DEMATEL-ISM model by using neighbor matrix and reachable matrix to transform each other. It constructs a risk factor model for campus security prevention and control evaluation based on Internet of Things technology according to the modeling steps after soliciting experts’ suggestions through questionnaires. Combined with the SEM model to estimate students’ campus risk identification ability, the path index was used to construct the college security awareness score index to explore the relationship between latent variables (influencing factors) and observed variables (risk identification ability). The results show that every 1% increase in the safety climate of the social environment will lead to the rise of 0.58%, 0.20%, and 0.52% in the on-campus environment factor, the campus safety management team building factor, and the students’ literacy factor, respectively. A 0.17% increase in the on-campus environment will occur with every 1% increase in students’ literacy in higher education. This study contributes to a deeper understanding of the role of IoT technology in enhancing campus security prevention and control. It can provide deep research references for subsequent risk grading evaluation, risk warning prevention and control, and supervision in campus risk management.
Improved YOLOv5s Algorithm for Target Detection in Highlighted Field Camera Surveillance Images
Authors: Sun Dan , Liao Zhiwu , Zhou Zhimin , Zhang Lei , Wu Wenfeng
Published: April 2024

The complex and changing environment in the field brings a more significant detection challenge to camera surveillance. This paper proposes target detection in camera surveillance images using the improved YOLOv5s algorithm for target tracking in surveillance images. Firstly, to address the weak feature extraction ability of YOLOv5s for small-scale and overlapping targets, the feature extraction performance of YOLOv5s is improved by combining the attention mechanism and substitution loss function in the deep learning network to improve the feature extraction performance of YOLOv5s for target detection in field camera surveillance images. Then, to test the improved algorithm’s performance, the improved algorithm in this paper is compared with SSD, Faster R-CNN, and YOLOv5s detection methods, and performance comparison experiments are done on the basis of the dataset. The results show that the average detection accuracy (MAP) of the algorithm in this paper is improved by 19%, 14.5% and 6.3% than SSD, Faster R-CNN, and YOLOv5s, respectively, and the average speed of detection is 324 FPS, the accuracy is improved, the detection is faster, and for the YOLOv5 m with DA and PT has a higher AP than the other models in this paper. This study enhances the scalability of YOLOv5s algorithm in complex environments, which is crucial for advancing image target detection.
Detection of antibiotic resistance mechanism and research on new anti-infection measures based on big data analysis
Authors: Ji Yan , Jiang Xiuling , Wang Dongyan
Published: April 2024

In this paper, a prototype network model is used for event extraction of antibiotic resistance and new anti-infection information, and also limited or small amount of labeled data is used to obtain a prediction model with excellent generalization performance. The Bi-LSTM framework for antibiotic resistance element detection is a mainstream sequence annotation framework that combines bidirectional long- and short-term memory networks, and its main idea is to obtain contextual information through bidirectional long- and short-term memory networks, and to fuse antibiotic as well as bacterial entity information, and trigger word information for the assignment of element roles. In the keyword co-occurrence analysis, combination therapy and phage had the highest frequency with a centrality of 0.57 and 0.59, respectively, indicating that phage-antibiotic therapy effectively treated patients with drug-resistant bacterial infections. There was a high correlation (r=0.57) between the number of days of ICU stay and the number of days of phage-antibiotic combination therapy, which was further analyzed to show that the number of days of fever, the number of days of indwelling urinary catheter, and the number of days of mechanical ventilation, phage-antibiotic combination days are more important influencing factors.
Reflections on the English Teaching Mode in Colleges and Universities under the Environment of Multimedia Network Technology
Authors: Shi Dandan
Published: April 2024

With the advancement of educational technologies, multimedia and network technologies have significantly enhanced classroom teaching efficiency and quality through their dynamic and intuitive nature. This study introduces a flipped classroom teaching model for college-level English, utilizing the SPOC platform, grounded in constructivist theory and task-based language teaching methodologies. Conducted in a university in City H, this research involved two classes. It employed a paired-sample t-test and principal component factor analysis to evaluate students’ English performance and learning interest pre- and post-implementation. Additionally, a Student Satisfaction Scale was developed to assess the model’s reliability and effectiveness. Results indicated a 1.39-fold increase in learning interest, with independent learning needs’ mean value rising from 10.69 to 16.78 and a notable improvement of 12.49 points in English grades. The factor analysis confirmed the model’s robustness, with all variable influence coefficients surpassing 0.75 and fitness values exceeding standard benchmarks. The SPOC-based English flipped classroom model has proven effective in promoting independent learning, fostering mutual learning spirit, and enhancing academic performance.
Research on the enhancement of informatization literacy of design practice teaching faculty in applied colleges and universities based on OBE model in the context of artificial intelligence
Authors: Gong Daxiao , Xiao Peng
Published: April 2024

The level of informatization literacy of college teachers is related to the comprehensive development of design professionals. In this paper, from the perspective of design practice teaching, we utilize the OBE model to construct a “one-core, six-double” design professional talent cultivation model. We also point out the prospects for applying the OBE model in design practice teaching. The Delphi method is used to construct the teachers’ information literacy evaluation index system. To avoid the influence of the correlation between the indexes on the evaluation results, the AHP-gray correlation combination algorithm is used to calculate the weights of the evaluation indexes. Finally, the complete evaluation index system was used to perform empirical analysis. The results show that the F-statistic of teachers’ informatization awareness and attitude (P1) is 2.349, and the P-value is 0.168, which is greater than 0.1, indicating that there is no significant difference between the scores of teachers’ informatization awareness and attitude in universities in Guangzhou and Shanghai. This study provides a foundation and reference for improving the computer literacy of design practice teaching faculty in applied colleges and universities. It aids in the advancement of design practice teaching.
Analysis of the changes in the art curriculum of preschool children’s education in the new media era
Authors: Gao Xiangyu
Published: April 2024

Art education for preschool children is the basis for the cultivation of young children’s perceptual ability, and the cultivation of young children’s perceptual ability plays an essential and fundamental role in young children’s understanding of the world, feeling of beauty, and discovery of beauty. This paper uses AR technology and microclassrooms in the context of new media to construct an educational model of preschool children’s art curriculum, and a portrait of preschool children’s scholars is built. It focuses on combining the hierarchical clustering algorithm with the radial function method of multivariate interpolation to analyze the classroom behaviors of preschool children, mining the correlation between the course learning behaviors and the learning effect through the Apriori algorithm, and constructing a personalized art learning path for preschool children based on the ant colony algorithm for practice. The results showed that preschool children were divided into four categories, with the highest proportion being excellent preschool children (52.5%). The mean score of preschool children’s art perception score was 8.225, and their scores were normally distributed, with the highest number of preschool children between 8.00 and 8.25. This study is significant for changing the art curriculum in preschool children’s education. Teachers should be guided in teaching activities and focus on children’s perceptual experiences and expressions.
Exploration of Finance Digital Transformation Path Based on RPA Technology
Authors: Zhang Yunhao
Published: April 2024

RPA technology as one of the key technologies to drive financial digital transformation, this paper combines it with AI technology to build an enterprise financial intelligent audit model to realize financial digital operation. Based on the essential operation of RPA technology in the field of financial management and the sorting of financial automation process, the financial intelligent audit process under RPA technology is designed, and the decision tree algorithm is combined with the financial intelligent audit early warning index system to carry out enterprise financial crisis judgment and risk early warning. Taking Enterprise A as an example, early warning simulation of financial accounts and rolling budget simulation of funds are carried out respectively. The audit early warning indicator has a threshold of 0.06, and the average weight of each indicator’s characteristics and the early warning interval are calculated. Taking the indicator A1 as an example, the weight of the characteristic evaluation is 0.153, and the audit early warning signal will be output when the proportion of the balance of the accounts receivable ledger reaches 4.03%. The audit warning signal provides substantial operable space for enterprise financial management and operation.
A study on the application of mixed reality technology in experimental teaching in economic colleges and universities
Authors: Lv Fengqi , Lin Zhixuan
Published: April 2024

With the continuous development of the computer field, mixed reality technology is increasingly used in various fields of life. This paper aims to create a mixed reality interactive experimental teaching system for economic colleges and develop the overall framework of the system using the target detection algorithm. It first designs the interaction system module based on monocular visual spatial localization. Then it builds a teaching evaluation system based on face detection, recognition, and gesture estimation for the experimental teaching of economic colleges and universities for the mixed reality interaction system. This paper empirically analyzes the proposed mixed reality interaction system for experimental teaching in economic colleges. It can achieve a processing speed of 19 frames per second and a high recognition accuracy of 88.23% in the teaching test. The average scores of each index after the testers’ use are above 4, and the average value of the system’s overall score is 4.66. This study has excellent performance and provides a practical roadmap and reference value for developing mixed reality technology in the direction of experimental teaching.
Research on the Path of Improving the Management Ability of College Counselors Based on Structural Equation Modeling
Authors: Wang Xi , Li Yihua , Li Mingqian
Published: April 2024

Aiming at the management problems of students in colleges and universities, this paper analyzes the influencing factors of counselors’ management ability based on the construction of structural equation model. The survey sample and questionnaire are selected according to the research objectives. To ensure the authenticity and validity of the research results, we test the reliability and validity of the questionnaire data, considering their usability. Research hypotheses are put forward according to the actual situation of college counselors’ management ability. At the same time, latent and measurable variables are set, followed by completing the construction of the structural equation model based on counselors’ management ability. Based on the acquired questionnaire data, the partial least squares method was used to conduct a case study on counselors’ management ability. The results show 26 standardized factor loadings >0.705 on the 50 observations of the hidden variables. The compound correlation coefficient R2<0.5, indicating that the five dimensions of leadership, sense of efficacy, adaptability, innovativeness, and execution are positively correlated with the improvement of tutors’ competence. All of them have a positive impact on the improvement of management competence.
Integration of higher education student management and pedagogical concepts based on data-based decision making
Authors: Wu Jun
Published: April 2024

In the context of big data’s growing influence on education, our study presents a novel approach to managing higher vocational student data through a model based on the “three-round education” philosophy. We construct a predictive model to dissect and categorize student performance at X higher vocational college by integrating K-prototypes and LSSVM algorithms. Our findings reveal three primary groups: high achievers (43.65%), average performers (23.38%), and those with challenges (32.97%), each showing apparent differences in academic success indicators. Impressively, the model forecasts student enrollment numbers with less than 1.077% error, providing a reliable tool for educational administrators to make informed decisions and tailor student management strategies effectively.
Statistical Inference Methods for Clinical Medical Data with Missing and Truncated Data
Authors: Cai Kejin
Published: April 2024

In clinical medicine, due to some accidents will inevitably produce the situation of missing data, this study for its with missing and truncated data, the use of mathematical statistics methods for inference supplement. After classifying the types of incomplete data, the article utilizes the great likelihood and empirical likelihood to form a linear statistical model to infer such data. It verifies it through simulation experiments and example analysis. In the simulation experiment, for the case of the same missing probability, as the number of samples increases from 150 to 300, the bias, variance, and mean square error of this paper’s algorithm in parameter β
1 are reduced to 0.0122, 0.1435, and 0.1441, respectively. In the actual statistical inference analysis of cardiac disease and heart transplantation, the standard error of this paper’s method reduces by 0.0576 compared with that of CAA, and the inference The results are by the reality. In clinical medicine, this study proposes a practical statistical extrapolation method and a realization path for objective interpretation when incomplete data is present.
Optimization path of physical training in college soccer teaching based on multivariate statistical analysis
Authors: Feng Xinyuan
Published: April 2024

Physical training in college soccer teaching has the problems of poor science and insufficient data management, this paper applies multivariate statistical methods to uncover data associations in training to construct a digital planning method. The digital characteristics of random vectors can be identified through the theoretical analysis of the multivariate statistical analysis algorithm. Correlation analysis is applied to test the validity of the research data, followed by the construction of regression equations of pre-competition functioning on competition fitness, to achieve the statistical examination of the research data. The multivariate statistical analysis algorithm was used to conduct a case study on physical training for college soccer. The results showed that after 16 weeks of soft ladder training the average muscle strength of the left rectus femoris muscle of 35 players in the experimental group increased from 31.17Kg to 33.32Kg (P < 0.01), and the average muscle strength of the right rectus femoris muscle increased from 30.29Kg to 32.37Kg (P < 0.01) There was a highly significant difference. This study provides theoretical references for physical training in college soccer teaching and promotes the development of college sports teaching.