bluuebunny/crossref_metadata_2025 huggingface dataset:
The Factors Affecting the Demand for Higher Education in Albania – Case Study: An Analysis of the Demand for Second Cycle Master's Studies
Authors: Sinaj Valentina , Shakaj Feruze , Xhabafti Malvina , Foto Glediana
Published: October 2024

Universities in the modern world are expected to seek and cultivate new strategies, to provide the right direction to promote knowledge and social equality. The quality of education is an important factor in attracting and retaining students, as it is a substantial investment made by their parents. Therefore, providing a quality service has become the most important objective for most Higher Education Institutions. The general objective of this paper is to investigate the experiences of students enrolled at university programs in different universities in the country through a questionnaire addressed to third-year Bachelor students, and how this experience will affect their decision-making process to continue or not the second cycle master's studies at these universities. The data from this questionnaire were processed in the R-Studio program. The analysis was conducted using Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) tools for data analysis and testing of relationships between variables. With these methods, we demonstrate how factors such as: academic experience during the years of study, infrastructure and quality of the institution, and the academic offer for master's studies, influence the decision-making of students about whether to continue or not the studies of the second master's cycle, precisely in the universities where they have completed the first cycle of Bachelor studies.
Green Marketing Research Trends: Theory and Practical Application
Authors: Vu Tran Thuy
Published: October 2024

Green marketing has emerged as a major global problem over the last two decades. However, marketing activity in Vietnam remains mostly missing in both academic and practical application areas. The above phenomena are due to a lack of theoretical grounding. Using the strengths of the content analysis method in extensive research, the authors examined 109 scientific papers in English from international journals in the Science Citation Index database. The research findings give insight on changes in green marketing in a variety of areas, including theoretical value, strategy, and expanded research content from 1998 to 2018. The paper also suggests a number of study directions appropriate to the current Vietnamese context for expanding domestic green marketing research and catching up with worldwide research trends.
ANALYSIS OF THE IMPLEMENTATION OF THE INDEPENDENT CURRICULUM FOR IPAS SUBJECT IN CLASS IV-A AT SDN TENGAH 03
Authors: Yansah Eka Adi , Zulfadewina Zulfadewina
Published: October 2024

This study evaluates the implementation of the Independent Curriculum at SDN Tengah 03, East Jakarta, a pilot school for this new curriculum. The aim is to assess the effectiveness of the curriculum in meeting students' learning needs and its application within the school environment. A qualitative approach with descriptive techniques was employed, including observation, interviews, and documentation. The research found that the Independent Curriculum focuses on exploring students' interests and talents, and the formation of the Pancasila Student Profile through integration into school culture and learning activities. While the curriculum provides greater learning freedom, weaknesses were identified in the IPAS teaching module that require improvement. The study recommends adjustments to the module to better align with students' interests and talents. The findings suggest that the Independent Curriculum is expected to enhance educational quality and produce more creative and character-driven students.
“Em (marcha) Ré maior”: arte e trabalho de mulheres no mundo da música carioca (1889-1902)
Authors: Costa Lucas Gabriel Feliciano , Rios Sebastião
Published: October 2024

Este artigo tem por objetivo identificar e caracterizar aspectos da arte e do trabalho de mulheres no mundo da música carioca entre os anos de 1889 e 1902. Partindo de um texto provocador, uma crônica de 1914 de Lima Barreto sobre o estado da criação musical no Brasil de seu tempo, desenvolvemos uma crítica e uma análise do argumento principal de seu texto para realizarmos o objetivo proposto. Para embasarmos a crítica e realizarmos a pesquisa, desenvolvemos uma pesquisa documental em periódicos da época, entre os anos de 1889 e 1902 (com o limite superior um pouco maior que o nosso recorte temporal), na Hemeroteca Digital da Biblioteca Nacional Digital Brasileira para poder, respaldado pelas fontes, reconstruir alguns aspectos da atuação de mulheres em diversas áreas daquele mundo da música carioca. Apresentamos provas da presença e da circulação de mulheres musicistas intérpretes e criadoras. Fazemos o registro de maestrinas e compositoras que tinham obras anunciadas e publicadas para apresentação, performance e venda em seu tempo. Argumentamos, em coro com demais pesquisas sobre a relação entre mulheres e música no Brasil naquele período, que as mulheres musicistas foram excluídas e/ou desconsideradas em nossa história da música.
Black Bottom Blues: reflexões etnomusicológicas e historiográficas sobre estereótipos do Blues
Authors: Corrêa Antenor Ferreira , Rocha Alexandre Eleutério
Published: October 2024

Nosso objetivo é interrogar certas concepções sedimentadas sobre o Blues e mostrar como estas operaram ruídos semântico-hermenêuticos que, por vezes, impediram uma compreensão mais ampla e complexa desse centenário gênero musical afro-americano. A partir de análises e argumentações que consideram o Blues como uma manifestação dinâmica e processual, buscou-se aprofundar a compreensão estrutural inextricavelmente relacionada a fatores sócio-histórico-culturais. Dessa forma, alguns estereótipos e verdades essencialistas estabelecidas foram colocados em xeque: os que reduzem o Blues a uma forma de canção folclórico-popular essencialmente lamentosa e triste. Estes reducionismos, intencionais ou não, acabaram por excluir análises do Blues mais celebrativo, alegre, malicioso e dançante, ou seja, elementos que vão além das matrizes laborais-religiosas com suas cargas de sofrimento e/ou drama. A partir da pêntade reflexiva composta por estrutura, processo, função, significação e hermenêutica, focamos na busca por conceituações e revisões teórico-analíticas fundamentadas em diálogos transdisciplinares entre Etnomusicologia, Musicologia, História, Antropologia e Sociologia.
CRIMINAL OFFENSE COMPUTER DISTRIBUTION OF PRO-GENOCIDE MATERIALS OR CRIMES AGAINST HUMANITY IN ALBANIA, THE PROBLEMS OF ITS IMPLEMENTATION IN PRACTICE
Authors: MIHA Elsa , PEKMEZI Iris , CUKAJ (PAPA) Lirime
Published: October 2024

On the criminal offenses in the field of cybernetics also includes those of a racist and xenophobic nature that are committed through computer systems. The provision of these offenses has come as a result of the implementation of the Additional Protocol to the Convention on Cybercrime on the penalization of acts of a racist and xenophobic nature committed through computer systems, ratified by the Albanian state through law no. 9262, dated 29.7. 2004 For the ratification of the Additional Protocol to the convention on cybercrime, for the criminalization of acts of a racist and xenophobic nature committed through computer systems.
Multi-physics simulation method for automotive motors with variable working conditions based on multi-software combination
Authors: Meixia Jia , Jianjun Hu , Feng Xiao
Published: October 2024

This paper proposes a multi-physics simulation method for automotive motors under variable working conditions based on multi-software combination. The combination of finite element and lumped parameter method can realize the simultaneous simulation of finite element and variable working conditions, so that the simulation process is closer to the actual working process. Based on the analysis of the temperature field and electromagnetic field of the motor, the mathematical model of multi-physics field coupling is decomposed, and the multi-software joint simulation model is established using Maxwell-Simplorer-Simulink. The finite element model is reduced in order using the equivalent current extraction method, which greatly improves the calculation speed of the model. The joint simulation model in this paper is a fully coupled model, which can realize the data exchange and transmission between different software models, thereby realizing the transient simulation of the motor under different working conditions. By using this joint simulation method, the synchronous simulation of multiple physical fields can be obtained at the same time, and the real-time data interaction of the joint simulation model can be realized, avoiding the error caused by the non-fully coupled model simulation process due to the asynchronous. Finally, the motor output torque is verified by experiment. The torque error between the model and the experiment is less than 3%, which proves the effectiveness and accuracy of the multi-field coupling multi-software joint simulation method.
CSI passive indoor fingerprint positioning method based on improved WKNN
Authors: Xiaoqiang Shao , Bo Ma , Zehui Han , Yongde Yang , Zewen Yuan , Xin Li
Published: October 2024

Aiming at the problem of low positioning accuracy caused by excessive interference in amplitude and phase construction, a passive indoor positioning method based on channel state information based on improved weighted K nearest neighbor algorithm is proposed. In the offline stage, the isolation forest method, wavelet domain denoising with improved threshold and linear transformation method are used to preprocess the collected channel state information. The processed amplitude and phase information are used as fingerprint data to construct a stable fingerprint database related to the reference point position information. In the online stage, an improved weighted K nearest neighbor algorithm is proposed to repeatedly match the estimated coordinates. After obtaining the position coordinates in one match, the algorithm calculates the Euclidean distance between the K nearest neighbor points of the position coordinates, and uses Gaussian transform to calculate the weights of the K distance values to complete the positioning of the personnel. Experimental simulation tests were carried out in the classroom and the hall respectively. The results show that about 81% of the test position errors of the proposed algorithm are controlled within 1 meter, which can effectively improve the positioning accuracy.
Dinámica Poblacional de Gusano Cogollero (Spodoptera frugiperda) en el Cultivo de Maíz (Zea mays)
Authors: Zavala Hernández Francisco , Escobar Sarabia Ludybed , Sotelo Zavala Erick Federico , Avilés Alvarado Javier , Álvarez Díaz Guadalupe , Carachure Olmos Pedro
Published: October 2024

El gusano cogollero (Spodoptera frugiperda) es la principal plaga que ataca al cultivo de maíz (Zea mays) en la Región de la Tierra Caliente del estado de Guerrero y Michoacán. Provocando perdidas del más del 70 % de la producción cuando no se tiene una estrategia de control, lo cual impacta directamente en la economía de los productores; la incidencia de adultos, es la forma más exacta de conocer la gravedad del daño ya que las hembras adultas del gusano cogollero, son las que depositan los huevos sobre el envés y haz de las hojas, una hembra es capaz de depositar 1,000 huevos en grupos que van de 10 – 350. Este estudio de dinámica poblacional, se realizó con el objetivo de conocer los resultados de control cultural de esta plaga; la investigación se realizó en una parcela con plantación de maíz, utilizando trampas con feromonas; también, se tomaron datos de temperatura, precipitación y humedad; considerando estos factores climáticos como elementos importantes en la incidencia de la plaga. Los resultados que se obtuvieron fueron: Las feromonas son una estrategia real para bajar las poblaciones de insectos adultos de gusano cogollero, ya que, se observó la presencia de insectos muertos en las trampas; además, los factores climáticos tienen un efecto importante en la disminución e incremento de las poblaciones de insectos plaga. En los datos analizados se encontró que, en altas temperaturas, una precipitación de 0mm y una humedad de 30%, son las condiciones climáticas ideales para que haya una alta incidencia de adultos en la plantación de maíz, logrando atraer el mayor número de insectos adultos, capturando en las trampas hasta 20 insectos y el menor número fueron 2. Sin embargo, cuando la precipitación era del 16mm, la temperatura de 14o y una humedad de 80%, las poblaciones eran muy bajas y en algunos casos, no se encontraba ningún insecto adulto de gusano cogollero en las trampas.
Educación Cívica en la Era Digital: Una Nueva Visión de la Participación Cívica, el Rol de las TIC y la Ingeniería de Sistemas
Authors: Rodríguez Forero Carolina
Published: October 2024

La revolución digital ha provocado un cambio signficativo en el nivel de compromiso cívico y edución cívica. La investigación se centra en el impacto de las Tecnologías de la Información y la Comunicación (TIC) en la conciencia cívica, promoviendo una ciudadanía más activa y participativa. Este estudio destaca la importancia de las plataformas digitales y las tecnologías innovadoras para influir en la educación y la vida cívica, desde una perspectiva de ingeniería de sistemas. El énfasis está en desarrollar sistemas tecnológicos que fomenten la participación ciudadana a través de herramientas digitales, creando espacios virtuales que fomenten el aprendizaje cívico en tiempo real. Una revisión bibliográfica y un análisis comparativo entre países como Australia y el Reino Unido resaltan los nuevos modelos de interacción ciudadana facilitados por las TIC, en contraste con los desafíos que enfrentan regiones como América Latina, donde el acceso desigual a la tecnología es un obstáculo. La aplicación de la ingeniería de sistemas en este contexto se centra en la creación de soluciones tecnológicas que faciliten la interacción eficiente entre los ciudadanos y las instituciones democráticas y educativas, utilizando interfaces fáciles de usar, algoritmos de participación y herramientas de colaboración en línea. El propósito de esta táctica innovadora es mejorar la equidad digital y reforzar los valores democráticos mediante el uso de las TIC de manera significativa y eficiente.  La nueva investigación destaca el papel crucial de la ingeniería de sistemas en la construcción de infraestrucutras tecnológicas que promuevan la participación ciudadana efectiva y diversa en un mundo digital.  La metodología consistió en seleccionar los estudios de las bases de datos más conocidas y hacer un análisis del mismo, poniendo el foco en las relaciones entre las TIC, la ingeniería de sistemas y la participación ciudadana. Los resultados evidencian que, si bien en los países desarrollados han implementado plataformas interactivas o han incorporado la gamificación en el ámbito de conciencia cívica, en América Latina hay limitaciones muy fuertes que tienen que ver con la infraestructura tecnológica. Por ello, este artículo presenta soluciones tecnológicas al uso de la ingeniería de sistemas para facilitar la interacción entre los ciudadanos y las instituciones, aunque también facilita el argumento de que es muy importante mejorar la equidad digital en esos espacios donde hay una infraestructura muy limitada, como América Latina.
La Relación entre la Oferta de Dinero, el Crédito Bancario y el Crecimiento Económico del Ecuador (2000-2022)
Authors: Doménica Michelle Laverde Mena , Nallely Ester Maldonado Basurto , Roger Tomas Yela Burgos , Carlos Guillermo Laverde Mena , Erika Michelle Paucarima Villacis
Published: October 2024

Este estudio analiza la relación entre el crecimiento económico y variables macroeconómicas en Ecuador de 2000 a 2022, enfocándose en la oferta de dinero y el crédito bancario. Utiliza un enfoque cuantitativo con alcance descriptivo y explicativo, y un diseño no experimental longitudinal. Los datos provienen del Banco Mundial y el Banco Central del Ecuador, considerando la teoría cuantitativa del dinero de Fisher. La metodología empleada incluye un análisis de series temporales y la estimación de un modelo de regresión lineal múltiple mediante Mínimos Cuadrados Ordinarios (MCO). Se realizaron pruebas de diagnóstico para verificar los supuestos del modelo, incluyendo tests de raíz unitaria, multicolinealidad, heterocedasticidad, normalidad de residuos y autocorrelación. Los resultados del modelo indican que la tasa de interés, el crédito al sector privado y las reservas internacionales son estadísticamente significativas respecto al PIB, mientras que la inversión, oferta de dinero y tipo de cambio real no muestran efecto significativo. El análisis muestra que un aumento del 1% en el crédito al sector privado se asocia con un incremento del 0.1432 millones de dólares en el PIB, mientras que un aumento similar en las reservas internacionales se relaciona con un crecimiento del 0.095 millón de dólares en el PIB. El estudio también examina la evolución de estas variables a lo largo del período analizado, identificando fases distintivas como el ajuste post dolarización, la expansión económica, y el período de desaceleración y ajuste. Se discute el impacto de eventos externos como la crisis financiera global de 2008-2009 y la pandemia de COVID-19. Se concluye recomendando fomentar un sector financiero sólido y políticas que impulsen el crédito productivo, así como la necesidad de diversificar la economía para reducir la vulnerabilidad a shocks externos en el contexto de una economía dolarizada.
KONSEP MERDEKA BELAJAR DALAM KITAB IHYA’ULUMUDDIN MENURUT PEMIKIRAN IMAM GHAZALI
Authors: Kosim Nandang , Royhatudin Aat
Published: October 2024

Konsep Merdeka Belajar yang digagas dalam sistem pendidikan modern bertujuan untuk memberikan kebebasan kepada siswa dalam menentukan cara belajar yang sesuai dengan minat, bakat, dan potensi mereka. Pemikiran Imam Al-Ghazali, salah satu ulama besar dalam sejarah Islam, memiliki relevansi yang kuat dengan prinsip-prinsip kebebasan belajar ini. Penelitian ini bertujuan untuk mengkaji bagaimana konsep Merdeka Belajar dapat ditemukan dalam pemikiran Al-Ghazali, terutama dalam karyanya yang monumental, Ihya' Ulumuddin. Al-Ghazali menekankan pentingnya pendidikan yang holistik, mengintegrasikan aspek intelektual dan spiritual, serta memberikan kebebasan individu dalam memilih jalan menuju kesempurnaan akhlak dan spiritual. Dalam pandangan Al-Ghazali, kebebasan belajar tidak hanya terkait dengan kebebasan intelektual, tetapi juga dengan tanggung jawab moral dan pengembangan diri. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi literatur, mengidentifikasi prinsip-prinsip Al-Ghazali yang relevan dengan Merdeka Belajar, seperti kebebasan dalam berpikir, kemandirian dalam proses belajar, dan tujuan akhir pendidikan untuk mencapai kebahagiaan dunia dan akhirat. Hasil penelitian menunjukkan bahwa pemikiran Al-Ghazali dapat memberikan landasan filosofis yang kuat bagi pengembangan konsep Merdeka Belajar dalam konteks pendidikan Islam.
Sarcopenia Prevalence in Liver Cirrhosis Patients Using MRI and Handgrip Strength Measurements
Authors: Kansal Mukul , Digra Shikha , Batth Navpreet Kaur , Jindal Pulkit , Singhal Deeksha , Somani Nikhar
Published: October 2024

Background: Cirrhosis, a leading cause of mortality worldwide, is histologically represented as formation of regenerative nodules encircled by fibrous bands caused by chronic liver injury. Nutritional status in cirrhotic patients is challenging to assess due to fluid accumulation resulting from impaired protein synthesis. Factors such as reduced food intake, malabsorption, and altered macronutrient metabolism negatively impact the nutritional status, leading to sarcopenia. The development of sarcopenia is multifactorial and is linked to lower survival rates. Aim: To assess sarcopenia prevalence in liver cirrhosis patients using MRI and handgrip strength measurements. Discussion: Impaired food intake in liver cirrhosis results from a combination of factors including loss of appetite, hormonal changes, early satiety, ascites, nausea, taste disturbances, and functional dyspepsia. Malabsorption can also occur due to portosystemic shunting, reduced bile production, chronic pancreatitis, and small intestinal bacterial overgrowth, all of which contribute to sarcopenia. It also arises from complex interactions involving impaired glycogen synthesis, inadequate nutrition, disrupted skeletal muscle protein synthesis and underlying hypermetabolism. Conclusion: MRI-based assessments indicate there is a significant occurrence of sarcopenia in individuals with cirrhosis. Our findings reveal that handgrip strength, when correlated with MRI results, is a reliable predictor of sarcopenia in these patients.
Maternal Immune Thrombocytopenic Purpura Leading to Severe Neonatal Autoimmune Thrombocytopenia: Report of Two Cases
Authors: Kaur Khushwant , PV Varughese , Shajan Nidhie
Published: October 2024

Introduction: In neonatal intensive care units, neonatal thrombocytopenia is one of the common hematological abnormality seen. Neonatal autoimmune thrombocytopenia should be considered in any neonate who is born to a known case of immune thrombocytopenia purpura (ITP) mother, with early onset thrombocytopenia without any signs of sepsis. Neonatal ITP is a condition of autoantibody mediated platelet destruction. Case details: Two neonates with thrombocytopenia, born to mothers with ITP are described in this report. Lowest platelet count noted was 7000 cells/cmm in one of the neonate. Both neonates received intra venous immunoglobulin (IVIG) while one neonate had persistent and severe thrombocytopenia requiring multiple random donor platelet (RDP) transfusions followed by oral steroid as well. Conclusion: Neonatal thrombocytopenia associated with maternal ITP need close monitoring, early sampling and diagnosis to prevent any possible complications and warrant early initiation of treatment.
Youth service co-operatives: An experimentation in empowerment.
Authors: Lapoutte Alexandrine
Published: October 2024

In this short piece, I reflect on some research I conducted with colleagues on young people, Youth Service Co-operatives (YSCs), and co-operative education which was originally published in the RECMA-Revue internationale de l’économie sociale. The research focused on the capacity of YSCs to foster young people’s empowerment. Here I share some of the findings of the study, using Ninacs’ rope metaphor, then discuss learning in youth co-operatives, and conclude with some reflections on the research experience and wider implications of the findings.
Revisiting education for co-operatives: Exploring the value of signature pedagogies
Authors: Sousa Jorge
Published: October 2024

Educational practices have always played an important role in developing approaches that reflect the plurality of forms of co-operative organisations. Arguably, education is fundamental to the endurance of the co-operative movement. While these practices are intended to reproduce the unique knowledge and social structures that inform co-operatives, they may not always reflect the intrinsic and distinctive values of the co-operative principles. In fact, inappropriate educational practices have had the effect of weakening the co-operative movement by perpetuating a mindset that fosters social and economic inequities. I explore key constructs from education theory and their relevance to pedagogical practices that are intended to support education for co-operatives. In this paper, I argue that education for co-operatives could benefit greatly from identifying and developing signature pedagogies.
A network-based pharmacological study of the network mechanism of Rhizoma Gastrodiae for Parkinson’s disease
Authors: Wan Lei
Published: October 2024

Objective: To research the network mechanism of Rhizoma Gastrodiae for Parkinson’s disease (PD) based on network pharmacology. Methods: “Rhizoma Gastrodiae” and “Parkinson’s disease” were searched as keywords in the Genecards database and Encyclopedia of Traditional Chinese Medicine (ETCM) database to obtain related gene targets, followed by the Venny intersection analysis. Subsequently, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and protein-protein interaction (PPI) analysis were conducted through bioinformatic methods. Finally, literature review was utilized to evaluate the role of core genes in PD. Results: 248 gene targets of Rhizoma Gastrodiae and 8184 PD related genes were downloaded, discovering 163 intersected gene targets through Venny intersection analysis. GO and KEGG analysis revealed that Rhizoma Gastrodiae treatment primarily influences biological processes such as excitatory postsynaptic potential and sodium ion transport, with cellular components mainly involving extracellular exosome and mitochondria. Molecular functions include voltage-gated ion channel activity and transmitter-gated ion channel activity. KEGG pathways impacted include metabolic pathways and neuroactive ligand-receptor interaction. A PPI network identified 10 hub genes, with ALB, INS, and TNF being the top three, potentially serving as core treatment targets. Analysis of the relationship between PPI, GO analysis, and KEGG pathways highlighted SRC, PPARG, and PTGS2 as potential targets for treatment regulation. Literature comparison via Pubmed revealed extensive reporting on CASP3, suggesting its potential translational application as a reference. The remaining nine hub genes, lacking literature documentation, representing innovative candidates for further exploration. Conclusions: This study discovered the fundamental network mechanism underlying Rhizoma Gastrodiae’s efficacy in treating PD, assessing its innovative potential and translational applications. These findings serve as a significant reference for elucidating the central network mechanism of Rhizoma Gastrodiae in PD treatment, offering a scientific foundation and valuable insights for future clinical trials.
Changes of interleukin-1 B, interleukin-6 in trachea in the case of airway mucus hypersecretion induced by acrolein inhalation
Authors: Dan Qi-Qin , Zhang Yun-Hui
Published: October 2024

Objective: This study aims to investigate the expression changes of interleukin-1 B (IL-1β) and interleukin-6 (IL-6) in trachea of rats with acrolein inhalation. Methods: Mucus hypersecretion in the trachea was induced through acrolein inhalation in rats. At 1, 3, and 6 weeks post-acrolein inhalation, rats were sacrificed, and tracheas were harvested for analysis using Reverse Transcription Polymerase Chain Reaction (RT-PCR) and in situ hybridization (ISH). Expressional changes and the distributions of mRNA for IL-1β and IL-6 in tracheal tissues were determined. Immunohistochemistry was also employed to detect the location of IL-1β and IL-6 in the trachea. Results: Compared with the control group, increased immunostaining and mRNA expression for IL-1β and IL-6 were observed in the trachea at 1 week, reaching a peak at 3 weeks in rats exposed to acrolein inhalation, followed by a significant decrease in the levels of IL-1β and IL-6 at 6 weeks. However, in comparison with the Normal Saline (NS) control group, the level of IL-6 mRNA showed no significance. These findings suggest that mucus hypersecretion in the trachea may be associated with an increase in the levels of IL-1β and IL-6, potentially contributing to airway injury induced by acrolein exposure. Conclusions: The experiment confirmed that elevated IL-1β and IL-6 expression, induced by acrolein inhalation, is linked to airway mucus hypersecretion and contributed to the overall inflammatory reaction, so as to provide substantial evidence for clinical treatment by monitoring IL-1β and IL-6 expression changes in tracheal and lung impairment.
New progress in the mechanism of cerebral ischemia-induced lung injury
Authors: Zhai Chen-Yang , Wang Ting-Hua
Published: October 2024

Objective: This study aims to comprehensively review the current state of research regarding the mechanisms underlying lung injury induced by cerebral ischemia-reperfusion injury (CIRI). Methods: A thorough search of both domestic and international journals was conducted to analyze the existing literature, elucidating the intricate mechanisms contributing to cerebral ischemia-induced lung injury. Results: The mechanisms responsible for cerebral ischemic lung injury are remarkably intricate, encompassing a myriad of pathways, molecules, and various other factors, including inflammation, cell injury, oxidase reactions, as well as processes related to regeneration and repair. Conclusion: The in-depth investigation into the mechanism of apoptosis in CIRI not only provides a robust theoretical foundation but also furnishes an essential experimental basis for advancing research and development in the treatment of CIRI.
Advances in the study of exercise to delay immune aging
Authors: Niu Yong-Min , Shi Cheng-Long
Published: October 2024

Background: The aging global population presents a growing challenge, with age-related diseases causing significant issues for humanity. Currently, most drugs are tested on animal models to explore their efficacy in the elderly, but beneficial effects in delaying immune aging have not been observed in clinical trials. This article reviews recent research on combating immune senescence through exercise. Methods: By accessing the Pubmed database and CNKI database, "exercise" and "immune aging" were entered as keywords to retrieve related literature. A thorough examination of the literature involved screening to eliminate duplicate studies that were deemed irrelevant. Results: This paper systematically reviewed the role of exercise in combating immune aging, highlighting its positive effects on immune cell morphology, function, and molecular changes. Exercise increases naive and central memory cells, reduces CD8 EMRA T cells, enhances naive T cell diversity, and improves neutrophil chemotaxis. Meanwhile, it calls for further animal studies to understand the mechanisms behind exercise-mediated anti-aging effects on the immune system. Conclusions: Exercise mitigates immune aging by enhancing cell diversity, reducing harmful T cells, and improving neutrophil function, while the underlying mechanism remains to be investigated.
A short comment on: “Analgesic efficacy of erector spinae plane block in patients undergoing major gynecologic surgery: a randomized controlled study” Feng-Ting Ma*
Authors: Ma Feng-Ting
Published: October 2024

This commentary critically evaluates the study by Bang et al. (Bang et al., 2024) on the analgesic efficacy of the erector spinae plane block (ESPB) in patients undergoing major gynecologic surgery. The study highlights ESPB as an adjunct to postoperative multimodal analgesia, comparing it to the current standard of patient-controlled intravenous analgesia (PCIA) primarily managed with opioids. While ESPB was shown to reduce early postoperative pain, it did not significantly decrease opioid consumption. Concerns are raised regarding the variability in non-opioid analgesic protocols and the timing of baseline assessments for quality of recovery. These issues suggest potential areas for refinement in future research to enhance the reliability and applicability of the findings in clinical practice. It is worthy of paying attention to this difference in clinic for later personal and precise administration.
Batch difference analysis of two independent sample data based on the R language
Authors: Zhang Bao-Lei
Published: October 2024

Objective: This article aims to conduct a differential analysis on two independent sample data sets multiple times using the R programming language. The sample data consists of two separate groups, each containing three samples from a dataset of 7,000 rows. Methods: The data is loaded using the 'openxlsx' package. Normality is assessed with the 'shapiro.test()' function, and variance homogeneity is tested using the 'bartlett.test()'. Differential analysis is performed with 'wilcox.test()' and 't.test()'. The 'ggplot2' package facilitates the visualization of the differential analysis results. The analytical process recursively extracts data from the two groups, to analyze all the data, and exports the results in a tabular file format. It also visualizes all significant differences in the form of bar graphs. Results: The conducted tests reveal that the R programming language can be effectively employed for performing differential analysis on two independent sample data sets swiftly and accurately. Conclusions: This approach significantly reduces the time spent on statistical analysis, providing a valuable reference for researchers involved in related fields to carry out subsequent data analyses.
Potential mechanisms and treatment progress of immune checkpoint inhibitor-related pneumonitis in non-small cell lung cancer
Authors: Wang Zhi-Yong , Li Yue-Wen , Zhang Ying-Song , Zhuang Li
Published: October 2024

Background: Recent use of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) extends survival, but immune-related adverse events (irAEs), especially immune checkpoint inhibitor pneumonitis (CIP), pose a significant threat, progressing swiftly and impacting patient well-being and, in some cases, survival. Objectives: This review aims to analyze the literature related to immune checkpoint inhibitor-associated pneumonia in terms of potential mechanisms, risk factors, predictors and diagnostic treatment, so as to provide a reference for preclinical studies and clinical management. Methods: Using the literature summarizing method, the keywords "NSCLC" and “immune checkpoint inhibitors” were entered in PUBMED (https://pubmed.ncbi.nlm.nih.gov/), and 3968 papers were obtained. The main points of literature discovery are obtained by compressing, categorizing and summarizing literature for reporting. Results: We systematically summarized Checkpoint inhibitor-associated pneumonia incidence and onset time; Checkpoint inhibitor-associated pneumonia potential mechanisms; Risk factors for checkpoint inhibitor-associated pneumonia; Checkpoint inhibitor-associated pneumonia potential predictors; Diagnosis and treatment of checkpoint inhibitor-associated pneumonia. Together, this review provides important literature information to understand the relationship between ICIs and NSCLC. Conclusions: We summarized the potential mechanisms of immune checkpoint inhibitor-associated pneumonia in NSCLC and advances in treatment, and provided the reference for related research and related personnel.
Study of the association between long non-coding RNA and clear cell renal cell carcinoma
Authors: Zhang Xiao-Mei
Published: October 2024

Background: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant cancers, accounting for about 70% of all RCC cases. The relationship between ccRCC and long non-coding RNA (lncRNA) remains to be further investigated. Methods: Using the PubMed website (https://pubmed.ncbi.nlm.nih.gov), we systematically analyzed current studies focused on lncRNA and ccRCC, covering various aspects including the conceptual features of ccRCC, comprehensive molecular analysis, the biological function of lncRNAs in cancer pathogenesis, their roles as potential prognostic biomarkers, and identification of lncRNAs associated with immune subtypes in ccRCC. Additionally, we summarized models, signatures, and validation for prognostic prediction and treatment, prognostic features, gene identification and landscape, lncRNA regulation, as well as approaches to inhibit the progression and address poor prognosis parameters of ccRCC. Result: Based on the latest research progress of lncRNA in ccRCC, this article reviews its expression, function and related mechanisms, in order to provide reference for the application of lncRNA in the field of cancer. Conclusions: In summary, this review analyzes the current studies focused on lncRNA and ccRCC, highlighting lncRNA's potential as a prognostic biomarker and its role in ccRCC progression and immune subtypes. It aims to provide insights for leveraging lncRNA in cancer research and treatment.
Comportamiento de frotamiento sobre el pelaje de monos araña centroamericanos (Ateles geoffroyi Kuhl, 1820; Atelidae) en entorno de cautiverio en Honduras
Authors: Paz-Sánchez Manuel Alejandro
Published: October 2024

Se realizó un enriquecimiento ambiental mediante el uso del fruto maduro de lima limón (Citrus sp.; Rutaceae) a una tropa de monos araña cautiva en el Centro Nacional de Conservación y Recuperación de Especies/Zoológico Rosy Walther, Tegucigalpa, Honduras. Ésto con el objetivo de estimular las funciones biológicas en los primates. Todos los individuos interactuaron con el fruto; sin embargo, las frotaciones del pelaje (esternal y axilar) con el cítrico fueron realizadas específicamente por los machos adultos y juvenil. La función a este comportamiento que excluyó a las hembras puede radicar en algunas de las hipótesis planteadas para la especie como el rol del marcado del olor y su relación con la comunicación olfativa.
Research on the Predictive Ability of Economic Policy Uncertainty on Stock Returns of Industries
Authors: Liu Yuxuan
Published: October 2024

In recent years, the emergence of economic policy uncertainty has had a certain impact on stock returns. It can be used as a research object to explore whether economic policy uncertainty can significantly predict future stock returns. This paper studies the predictive ability of economic policy uncertainty based on relevant data from major industries in the United States from January 1985 to December 2023, including Food industry (Food), Retail Stores industry (Rtail), Fabricated Products industry (FabPr), Drugs, Soap, Perfumes, Tobacco industry (Cnsum), Construction and Construction Materials industry (Cnstr), Consumer Durables industry (Durbl), Automobiles industry (Cars), Textiles, Apparel & Footwear industry (Clths), Machinery and Business Equipment industry (Machn), Chemicals industry (Chems), and Transportation industry(Trans), Utilities industry (Utils), Steel Works Etc industry (Steel), Mining and Minerals industry(Mines), Oil and Petroleum Products industry (Oil), and Banks, Insurance Companies, and Other Financials industry (Finan). Through both in-sample and out-of-sample examines, it is found that economic policy uncertainty is a reliable indicator for predicting stock returns, and its predictive performance is better in Food industry, Retail Stores industry, Fabricated Products industry, Transportation industry, Construction and Construction Materials industry, Consumer Durables industry, Automobiles industry, Textiles, Apparel & Footwear industry, Machinery and Business Equipment industry, Chemicals industry, and Drugs, Soap, Perfumes, Tobacco industry than in Utilities industry, Steel Works Etc industry, Mining and Minerals industry, Oil and Petroleum Products industry, and Banks, Insurance Companies, and Other Financials industry. Meanwhile, by replacing the measurement indicator of economic policy uncertainty, conducting long-horizon forecasting, and using different evaluation periods for robustness checks, it is found that the research conclusions are robust.
Supply Chain Management Optimization Solution for Manufacturing Enterprises in the Context of Digital Transformation
Authors: Ma Jinlin
Published: October 2024

With the deepening of digital transformation, manufacturing enterprises are facing major changes in supply chain management. This paper focuses on how to optimize supply chain management through digital means to realize the intelligence and efficiency of the supply chain. By analyzing the impact mechanism of digital transformation on supply chain information flow, logistics and response speed, it proposes strategies such as building digital infrastructure, innovating collaborative mechanisms, and strengthening risk management and cost control. This paper also emphasizes the important role of key technologies such as data analytics, cloud computing, and Internet of Things (IoT) in improving supply chain responsiveness, reducing costs, and enhancing resilience, and combines them with successful cases to provide practical guidance for the digital transformation of manufacturing enterprises.
The Influence of Cultural Backgrounds on Team Dynamics and Decision Making in Multicultural Environments
Authors: Xie Zhongyu
Published: October 2024

With the deepening development of globalization, cross-cultural communication is becoming increasingly frequent, and the role of multicultural teams in enterprises, education, scientific research, and other fields is becoming increasingly prominent. However, while multicultural teams bring innovation and competitive advantages, they also face challenges such as cultural conflicts and communication barriers. This study aims to explore the strategies and challenges of multicultural teams in cross-cultural communication, as well as how to improve team effectiveness through effective management. Using case analysis method, multiple multinational corporations were selected as research objects, and data was collected through literature review and other methods to analyze the operational mode and management strategy of multicultural teams. Research has found that cultural sensitivity training, cultivation of cross-cultural communication skills, establishment of shared values, and flexible management styles are key strategies for enhancing the effectiveness of multicultural teams. Meanwhile, cultural conflicts and communication barriers are the main challenges. Effective management of multicultural teams is crucial for enhancing team effectiveness. Enterprises should attach importance to cross-cultural training, strengthen communication and understanding among team members, in order to overcome the challenges brought by cultural differences and achieve collaborative development of the team.
Application of ECG signal processing and classification based on CNN in wearable devices
Authors: Zhang Jiayang , Zhang Qin , Zou Yijie
Published: October 2024

To address the issue of ECG signals being susceptible to internal and external noise interference during the acquisition process, in this paper, a novel ECG signal processing and classification method based on convolutional neural network (CNN) is proposed, which combines advanced Wavelet transform technology to achieve high precision classification of real-time ECG signals. Specifically, the method first uses Wavelet transform to preprocess and de-noise ECG signals to improve signal quality. Then, a customized CNN model is used to extract and classify the preprocessed ECG signals. The CNN model can be trained to accurately predict the type of ECG signal. The innovation of this paper lies in combining the highly efficient denoising capability of Wavelet transform with the powerful feature extraction capability of CNN algorithm to realize the high-precision classification of ECG signals. This approach not only improves the accuracy and reliability of ECG signal monitoring, but also opens the possibility of more effective health monitoring and disease prevention. The experimental results demonstrate significant improvements in the clarity and classification accuracy of the preprocessed ECG signals, with the trained CNN model achieving a 99% accuracy rate in predicting ECG signal types. This advancement not only enhances the accuracy and reliability of ECG signal monitoring by wearable devices but also provides possibilities for more effective health monitoring and disease prevention.
Research on High-quality development of enterprises based on an intelligent background
Authors: Gao Yuhao
Published: October 2024

In the global economy, intelligent technology has attracted much attention as a crucial factor in propelling enterprises towards achieving high-quality development growth. Taking the financial reports of A-share listed companies in Shanghai and Shenzhen Stock exchanges published from 2007 to 2022 as samples, this study explores the influence and mechanism of intelligent technology on the high-quality development of enterprises. The study finds that intelligent technology has a substantial positive impact on enhancing the high-quality growth of businesses, especially by improving innovation efficiency and management efficiency. In addition, digital inclusive finance and the digital economy have a positive moderating effect on the relationship between intelligent technology and the high-quality development of enterprises. These results offer practical backing for the advancement of corporate intelligence and establish a vital theoretical and empirical foundation for companies to uphold their competitive edge in an intensely competitive market landscape.
The Impact of Bilateral Currency Swaps on Outward Foreign Direct Investment
Authors: Gao Yunjie
Published: October 2024

The outbreak of the 2008 international financial crisis caused many countries around the world to face exchange rate fluctuations and currency crises. At the same time, China's central bank creatively began to sign central bank currency swap agreements with other countries to stabilize exchange rates and avoid the risk of fluctuations in the US dollar. This article is based on panel data from 90 countries from 2000 to 2021, and uses empirical analysis methods to explore the impact of currency swap agreements on China's outward foreign direct investment. On this basis, the intermediary effect is applied to analyze the financial market mechanism of currency swap policy. Research has found that currency swap agreements have a significant positive impact on the scale of China's outward foreign direct investment (OFDI). Financing constraints are an important influencing mechanism for currency swap agreements to promote China's OFDI. In the context of economic globalization and complex international situations, this study has important reference value for China to further promote deepening cooperation in the financial field between countries and promote the internationalization of the renminbi to facilitate the domestic and international dual circulation.
Research on investment and financing risk problems and countermeasures of PPP construction projects
Authors: Shang Xingyu
Published: October 2024

This study analyzes financing costs, capital liquidity, policy changes and contract execution risks in PPP project investment and financing, and puts forward strategies such as optimizing financing platforms, reducing costs, strengthening regulations, regulatory coordination and improving prevention capabilities. By exploring the causes and effects of risks, combined with domestic and foreign cases to verify the effectiveness of the strategy. This study enriches the theory of PPP risk management, provides guidance for the practical operation of the project, and promotes the healthy development of the PPP project.
Research on the Influencing Factors of Rental House Prices
Authors: Mao Xiaoyang
Published: October 2024

Since the 1990s, China's real estate market has gradually recovered, and has developed into a large and mature trading market today, as the housing price increase, the demand of housing rental also increases a lot. Based on this this article aims to identify the factors that have an impact on rental price. The method of multi-linear regression is used to analyze the factors with over 10,000 samples in Guangzhou from May 2020 to June 2020 from the website of LianJia, one of the biggest real estate agencies in China. The dataset contains 10 variables in total, this research uses VIF, Pearson correlation coefficient to narrow the variables down to District, Rent Type, Area, Elevator Flag and Buld Floor these five variables and considered that they have a significant linear relationship with rental price. By focusing on these variables this study provides a view of the relationship of demand and supply of China’s renting market.