bluuebunny/crossref_metadata_2025 huggingface dataset:
Similarity-based Graph Convolution Collaborative Recommendation Approach
Authors: Zhao Wentao , Wang Dewang
Published: June 2024

With the rapid and iterative development of science and technology, a large amount of information exceeds the range that can be accepted, processed, or effectively utilized by an individual or a system, and recommendation algorithms can, to a certain extent, solve such problems, but traditional recommendation algorithms do not have a good solution to the problems related to data sparsity and recommendation accuracy. A similarity-based graph convolutional neural collaborative recommendation method (GCSCF) is proposed. The similarity algorithm based on the attributes of the item is used to find the item with the highest similarity and has not interacted with the current user, and this item is set to interact with the current user. The relevant interaction information of the user and the item is converted into relative feature vectors; the feature vectors are propagated using a graph convolutional neural network to aggregate the localized information, and the weight coefficients based on the item ratings are normalized to reduce the noise caused by the information aggregation. Comparative experiments are conducted on two public datasets, MovieLens-1M and Movielens-100K, with five baseline models on the set, and using Recall, Normalized Discounted Cumulative Gain (NDCG), and Precision as the evaluation metrics, and the results of the experiments show that the performance of the proposed social recommendation model better than other models.
Analysis of Optimal Variables of Return Freight Insurance Decision for Each Part of Supply Chain Based On Stackelberg Game
Authors: Zhao Rui , Wang Mingrui
Published: June 2024

Based on the theory of demand and profit function, this paper studies the effects of different return freight insurance policies on manufacturers (sellers), platform optimal price, and optimal wholesale price under the distribution model. By constructing a mathematical model under Steinkelberg game, this paper analyzes the model without freight insurance and the model with freight insurance borne by different parts of the supply chain to explore the changes of the optimal variables of each party. The results show that: with the increase of the residual value of returned goods, the optimal retail price and the optimal return volume will increase, while the optimal wholesale price and the optimal demand will decrease. Under the model of freight insurance shared by the platform and the manufacturer, with the increase of freight insurance shared by the manufacturer and the platform, the optimal selling price increases, the optimal demand and the optimal return volume decrease, and when the cost of freight insurance borne by the manufacturer exceeds half, the wholesale price increases. Under the model of buyer bearing freight insurance, when consumers have high price sensitivity, the higher the cost of consumer bearing freight insurance, the lower the maximum selling price.
Pose Estimation Algorithm for Construction Workers
Authors: Ni Zhihao , Song Hong , Wu Hao
Published: June 2024

In order to solve the problem of difficulty in judging the human posture of construction workers in complex environments, this paper uses the method based on bone points to identify the human posture, first produces a video dataset of construction workers, and then compares the two algorithms, and selects a suitable pose estimation algorithm for construction site scenarios, which contributes to the pose estimation of construction workers.
Research on Product Demand Forecasting and Personalized Recommendation Based on Data Analysis
Authors: Yuan Yifu
Published: June 2024

This paper aims to explore the design and implementation of product demand forecasting and personalized recommendation system based on data analysis. Through the collection and analysis of a large number of user behavior data, an accurate demand prediction model is constructed, and based on this, a personalized recommendation algorithm is implemented. The paper first introduces the research background and purpose, and then elaborates the research method, process and results. The method based on data analysis can effectively predict the product demand and provide users with personalized recommendation services, so as to improve user satisfaction and market competitiveness of enterprises.
Predictive Modeling of Combustible Water Content of Five Common Tree Species in Central Yunnan Province
Authors: Yu Shoufu , Gao Zhongliang , Li Jiakun , Li Qingfeng , Cheng Guohui , Mao Yanlan , Kang Yong , Cheng Yang
Published: June 2024

The water content of forest combustible material is a key factor affecting forest fire and spread, and is the main reference factor for forest fire prediction and forecasting. The live branches, live leaves, dead branches and dead leaves of cap-dou oak, green oak, Yunnan poplar, Yunnan oil fir and silver wattle in central Yunnan were selected as the research objects, and the slope ( x1 ), slope direction ( x2 ), slope position ( x3 ), elevation ( x4 ), wind speed ( x5 ), wind direction ( x6 ), humidity ( x7 ), ground diameter ( x8 ), crown height ( x9 ), crown width ( x10), tree height (x11), depression (x12), and tree species (x13), and used correlation analysis to screen the main modeling factors, and constructed a prediction model of water content of combustible materials by multiple linear regression method. The results show that the correlation between the four factors of slope (x1), slope direction (x2), wind speed (x5) and humidity (x7) and the water content of combustible materials is significant, the water content decreases when the three influencing factors of slope (x1), slope direction (x2) and wind speed (x5) increase, and the water content is higher when the influencing factor of humidity (x7) increases, and the water content of combustible materials is constructed into a model of water content of 20 groups by these factors. Compare the predicted value of the water content prediction model with the actual value to analyze the error of the model, and the results show that the established model can be used to predict the water content. The errors were caused by rainfall during sampling, which absorbed water into the combustible materials and resulted in errors in the moisture content, and wind speed measurements, which resulted in inaccurate wind speed measurements. The established water content model can provide a basis for the classification of forest danger level and combustibility of combustible materials, and can provide help and reference for forest fire prevention and management.
An Exploration of the Development of Computerized Data Mining Techniques and Their Application
Authors: Chen Taiying , Lian Jieting , Sun Baiwei
Published: June 2024

The process of data mining involves extracting valuable information and knowledge from vast amounts of data, encompassing various fields such as statistics, machine learning, and database theory. It transcends mere data processing tools, employing intelligent methods for data analysis and stands as a pivotal technology in the era of big data. Its applications span across numerous domains including consumer behavior analysis, market marketing strategies, risk management, medical diagnosis, and fraud detection, with notable prominence in the realm of commerce. In e-commerce platforms, data mining techniques adeptly analyze user purchase histories and browsing records to precisely identify user preferences, recommend personalized products, thus enhancing user satisfaction and sales revenue. In devising marketing strategies, analyzing market data and consumer feedback optimizes product promotion strategies, bolstering market competitiveness. In the medical domain, data mining exhibits robust vitality. By analyzing patient medical records, genetic data, drug response data, predictions of disease trends, optimization of treatment plans, and even early disease warnings are made possible, thereby improving disease cure rates. In the realm of financial security, data mining plays a pivotal role by analyzing transaction data and user behavior to timely detect abnormal transactions and identify fraudulent activities, thereby safeguarding the security and stability of the financial system. In the Internet of Things (IoT) domain, data mining techniques analyze massive sensor data, enabling real-time monitoring and predictive maintenance of devices, thus enhancing operational efficiency and longevity. Data mining extends beyond the aforementioned domains, finding significant applications in social governance, scientific research, intelligent manufacturing, and more. Not only does data mining enhance the scientific rigor and precision of decision-making, but it also empowers various industries to improve efficiency, realize intelligent transformations, thereby further advancing societal progress.
A Prediction Model for Credit Risk Measurement of Small and Micro Enterprises Based On Particle Swarm Optimization random forest algorithm
Authors: Chai Feng
Published: June 2024

In the context of rapid economic development, the credit risk assessment of small and micro enterprises has become the focus of attention in the financial field. The random forest algorithm is widely used in credit risk assessment due to its high accuracy and robustness, but it has some problems, such as difficulty in parameter selection and performance degradation in processing unbalanced datasets. In this study, we propose a credit risk prediction model for small and micro enterprises based on Particle Swarm Optimization Random Forest Algorithm (PSO-RF). The particle swarm optimization effectively solves the problem of random forest parameter selection and improves the prediction performance of the model through the balance of global search and local search. Experimental results show that the PSO-RF algorithm shows significant performance advantages in credit risk prediction, performs well in dealing with unbalanced datasets, and has certain advantages in feature selection. This study provides new ideas and methods for the credit risk assessment of small and micro enterprises, and is of great significance for improving the risk management capabilities of financial institutions and supporting the healthy development of small and micro enterprises.
IMPLEMENTASI MANAJEMEN ARSIP SURAT DI BADAN PENDAPATAN DAERAH KOTA MALANG
Authors: Dharmawan Permana Bagus , Nurdiani Tanti Widia
Published: June 2024

Surat menyurat memainkan peran penting dalam manajemen administrasi organisasi dan perusahaan. BAPENDA Kota Malang, di bawah naungan Walikota, bertugas mengelola pendapatan daerah dan pajak, serta menjalankan fungsi penunjang pemerintahan di bidang keuangan. Rekaman aktivitas atau peristiwa yang disebut arsip harus dikelola secara efektif sesuai dengan peraturan yang berlaku. Manajemen kearsipan melibatkan proses menerima, mengumpulkan, mengatur, mengendalikan, memlihara, dan menyimpan berkas secara sistematis untuk memastikan kemudahan akses dan penemuan kembali saat dibutuhkan. Studi ini meneliti manajemen arsip baik surat masuk dan keluar di BAPENDA Kota Malang yang menggunakan Sistem Nomor (Numerical Filing System). Peneliti menggunakan metode kualitatif, dengan cara mengumpulkan data melalui wawancara dan observasi ke staf tata usaha serta bidang-bidang terkait. Hasil penelitian menunjukkan bahwa meskipun sistem numerik membantu menyusun surat secara terstruktur, masih terdapat beberapa kekurangan seperti kesulitan dalam pencarian surat akibat pencatatan manual di buku agenda, risiko kehilangan atau kerusakan berkas hardcopy, dan ketidaklengkapan penulisan tanggal surat. Penelitian ini menyarankan perbaikan dalam sistem pengarsipan untuk meningkatkan efisiensi dan mengurangi risiko kehilangan data, sehingga mendukung kelancaran operasional administrasi di BAPENDA Kota Malang.
Upaya Meningkatkan Motivasi Belajar Seni Rupa Peserta Didik Melalui Media Artsteps dalam Pembelajaran PJBL di Kelas XII IPA 5 SMA Negeri 8 Denpasar
Authors: Gusti Ayu Made Puspawati  , Putu Dika Pratama  , Mirah Rahmawati
Published: June 2024

The implementation of this research aims to analyze the PjBL learning model by implementing Artsteps media in fostering learning motivation of SMA Negeri 8 Denpasar class XII IPA-5 in the 2023/2024 school year in fine arts subjects. This research is a type of PTK with two cycles, each cycle involving 4 stages of research, namely, (a) planning stage; (b) implementation stage; (c) observation stage; and (d) reflection stage. The subjects in the study were students of SMA Negeri 8 Denpasar class XII IPA-5 which numbered 46 students. Then the methods applied by researchers in collecting research data include literature study, documentation, performance assessment, and observation. The method implemented in data analysis is a quantitative descriptive method, where quantitative methods are implemented to test student performance. Based on the test results that have been carried out in cycle I, the lowest and highest scores in SMA Negeri 8 Denpasar class XII IPA-5 are obtained, namely 60 and 90 with a mean learning outcome of 73. So the success rate of learning outcomes is 72%. Then in cycle II, the lowest and highest scores were obtained at 80 and 95 with a mean learning outcome of 89. Then the learning success rate reached 100%. This indicates that the motivation of students to learn in fine arts subjects has increased as evidenced by the existence of increasingly optimal learning outcomes.
Plantas medicinales de la colonia Tepoxtiapan de las Naciones Originarias y Sentimientos de la Nación, Chilpancingo de los Bravo, Gro
Authors: Cruz Valenzuela Mayra Azucena , Àvila Caballero Luz Patricia , Cazares Garcia Adelaido , Bello Martinez Jorge , Vázquez Villanueva Aurelio
Published: June 2024

El Presente trabajo tiene como objetivo la identificar de las plantas medicinales y/o comestibles de las colonias Tepoxtiapan de las Naciones Originarias y Sentimientos de la Nación, el carácter de esta investigación es un estudio etnobotánico cualitativo, se reportan 27 especies medicinales, 14 comestibles y 6 ceremoniales, se registran 5 especies utilizadas durante la pandemia ocasionada por la enfermedad Covid-19: ajo (Allium sativum), muicle (Justicia spicigera), jengibre (Jengiber officinali), vaporup (Plectrantus coleodies) y curcuma (Curcuma longa), se resalta la importancia de la conservación de los saberes tradiciones así como su afinidad a la cultura
Stress on the thymus and immune response, a review from psychoimmunoendocrinology
Authors: Moreno-Cubela Fidel Jesús , Garrido-Benítez Katherine de la Caridad , Céspedes-Gamboa Luis Rafael
Published: June 2024

Introduction: Psychoneuroimmunoendocrinology is an integrative science that approaches immunity as a physical-biochemical and psychological problem. The immune response is the mechanism by which the body reacts against foreign substances. Stress is the way the body responds to any kind of demand. One of the structures affected by stress is the thymus gland. Objective: to describe the influence of stress on the thymus and the immune response from a psychoneuroimmunoendocrinological perspective.Methods: A search was carried out in the databases Scopus, PubMed, Medgrphic, Science Direct, Schoolar Google, Scielo, and in updated scientific books and journals. Twenty-six bibliographies were selected, mainly from the last 5 years.Development: The sympathetic nervous system, the hypothalamus-pituitary-adrenal axis and the immune system with the thymus as one of its central organs, in integration with its components, are the material basis of the immune response. Psychological stress can alter the immune response by direct innervation of the lymphoid organs. These affectations have dire consequences for homeostasis, materializing in the appearance of diseases and the weakening of the immune response in the periods of human ontogeny.Conclusions: Stress causes lymphocytopenia, decrease of monocytes, macrophages, mast cells, T cells, NK cells and involution of the thymus, which has a negative impact on thymopoiesis, causing immunosenescence and favoring the development of various pathologies. Psychoneuroendocrine-immunological procedures constitute a range of therapeutic-diagnostic options for multiple diseases, from alternative medicine to the use of stem cells for thymus rejuvenation
Update on airway obstruction in children, with a nursing approach airway obstruction in children
Authors: Guzmán Mamani Alba Marysabel , Ortega Martinez Rommer Alex , Romero Isetta Mayra
Published: June 2024

Airway obstruction in children is an important cause of infant mortality; The most common origin is with the ingestion of nuts (60 % to 80 %), followed less frequently by others such as food remains, toys, metal objects (coins), balloons. The symptoms will depend on the point in the airway where said object is located: larynx, trachea or bronchi, with the right main bronchus being the most common. Therefore, it is necessary for the population to know how to prevent suffocation, the signs and symptoms derived from aspiration of an object, and the maneuvers that should be performed
A coupled damage-plasticity DEM bond contact model for highly porous rocks
Authors: Zheng Jinhui , Ciantia Matteo , Previtali Marco
Published: June 2024

In view of the significant stress loss induced by stuructural collapse when simulating high-porous soft rocks using traditional damage bond models in DEM (discrete element methd) modelling, a novel damage bond contact model is proposed to capture the ductile failure of high-porous cemented soft rocks. To address the unrealistic physical contact distribution resulting from the use of spherical particles in DEM modelling and consider the physical presence of broken bonds, far-field interaction is introduced between grains when two untouched particles reach a specific activation gap, enabling the genration of stable, highly porous open structure samples while using spherical DEM particles. The final results demonstrate that this newly developed model facilitates the transition from the purely elastic rock-like behaviour stage to the transitional ductile failure stage of porous soft rocks, as well as reproduces the softening/hardening response of soft rocks under different confinements.
Effects of ply hybridisation on delamination in hybrid laminates at CorTen steel/M79LT-UD600 composite interfaces
Authors: Burhan M , Sands C , McCreight T , Ullah Z
Published: June 2024

The present study conducts a comprehensive examination of fracture behaviour in hybrid composites subjected to static loading, combining both numerical and experimental approaches. Specifically, the investigation focuses on hybrid laminates to elucidate the effect of ply hybridisation on delamination within dissimilar metal-composite interfaces. Variation in ply orientation and stacking sequence is also explored to investigate their effects on fracture behaviour. Additionally, monolithic angle-ply laminates are also considered to assess free edge delamination at dissimilar interfaces. Numerical analysis is employed to evaluate interlaminar stresses at dissimilar interfaces in both monolithic and hybrid laminates. This analysis utilises a developed semi-analytical framework, integrating dimensional analysis to derive expression for interlaminar stresses. Through the utilisation of a numerical model, non-dimensional functions are calculated, further refining the understanding of interlaminar stress distributions at the dissimilar interfaces. The findings highlight the influence of ply orientation and stacking sequence on the mechanical performance and delamination behaviour of dissimilar interfaces. By offering insights into fracture mechanisms, this research provides valuable guidance for optimising the design and enhancing the performance of both monolithic and hybrid laminates in structural applications. The combination of numerical and experimental investigations yields a comprehensive understanding of fracture behaviour, contributing to advancements in composite materials design and applications.
Immersed traction boundary conditions in phase field fracture modelling
Authors: Sims Bradley , Bird Robert , Coombs William , Giani Stefano
Published: June 2024

Phase field approaches are an increasingly popular method for modelling complex fracture problems and have been applied to a number of real-world settings. In some applications, pressure forces, or more generally traction terms, must be considered on the crack faces. However, application of appropriate boundary conditions to represent these tractions is non-trivial, since phase field models do not include a direct description of the fracture surface due to their diffuse nature. This paper summarises one- and two-domain approaches to including immersed traction boundary conditions and states the authors’ intention to implement and evaluate these methods in an hp-adaptive discontinuous Galerkin finite element framework.
Robust topology optimisation of lattice structures with spatially correlated uncertainties
Authors: Yuksel Ahmet Oguzhan , Ben-Yelun Ismael , Cirak Fehmi
Published: June 2024

The uncertainties in material and other properties of structures are often spatially correlated. We introduce an efficient technique for representing and processing spatially correlated random fields in robust topology optimisation of lattice structures. Robust optimisation takes into account the statistics of the structural response to obtain a design whose performance is less sensitive to the specific realisation of the random field. We represent Gaussian random fields on lattices by leveraging the established link between random fields and stochastic partial differential equations (SPDEs). The precision matrix, i.e. the inverse of the covariance matrix, of a random field with Mat´ern covariance is equal to the finite element stiffness matrix of a possibly fractional PDE with a second-order elliptic operator. We consider the discretisation of the PDE on the lattice to obtain a random field which, by design, takes into account its geometry and connectivity. The so-obtained random field can be interpreted as a physics-informed prior by the hypothesis that the elliptic PDE models the physical processes occurring during manufacturing, like heat and mass diffusion. Although the proposed approach is general, we demonstrate its application to lattices modelled as pin-jointed trusses with uncertainties in member Young’s moduli. We consider as a cost function the weighted sum of the expectation and standard deviation of the structural compliance. To compute the expectation and standard deviation and their gradients with respect to member cross-sections we use a first-order Taylor series approximation. The cost function and its gradient are computed using only sparse matrix operations. We demonstrate the efficiency of the proposed approach using several lattice examples with isotropic, anisotropic and non-stationary random fields and up to eighty thousand random and optimisation variables
Comprehensive post-failure analysis of rainfall-induced landslides subjected to various rainfall patterns
Authors: Liu Xian , Ma Guotao , Rezania Mohammad , Li Xueyou , Jiang Shuihua , Nezhad Mohaddeseh
Published: June 2024

Rainfall infiltration presents a significant hazard to slope stability in various global regions. While most previous researches focus on the variations in the factor of slope safety under rainfall infiltration, there is a notable lack of attention to post-failure behaviors of slopes, e.g., the large deformation of slopes triggered by rainfall is often ignored. This is due to the traditional slope stability analysis methods, such as the limit equilibrium method (LEM) and finite element method (FEM), struggle with modeling large deformation of soils. Moreover, the impact of rainfall patterns on the post-failure behaviors of rainfall slopes remains unexplored. To address these issues, this study proposes a new effective coupled method to quantify the postfailure behaviors of landslides affected by different rainfall patterns, employing a combination of FEM and the Generalized Interpolation Material Point (GIMP) method. The results show that the slope failure times for different rainfall patterns are 14 h (uniform), 14 h (advanced), 4 h (delayed), 9 h (intermediate), and 11 h (intermittent), with corresponding runout distances of 2.76 m, 2.95 m, 2.06 m, 2.31 m, and 2.55 m, respectively. Analyzing the large deformation analysis of rainfall-induced landslides can offer new insights to quantitatively identify post-failure features of such disasters.
Numerical Simulation of Nanomachining: Exploring Meshless and Finite Element Techniques for Material Removal Modelling
Authors: Yadav Rahul , Kulasegaram Sivakumar , Brousseau Emmanuel , Alimohammadi Sahar , Read Dan
Published: June 2024

Mechanical nano machining involves the precise removal of material at the nanoscale under the action of a cutting tool, enabling the creation of intricate structures and devices in various sectors, including semiconductors, optics, and manufacturing of medical devices. Nano-machining simulation offers advantages, providing cost-effective, time-efficient exploration of nanoscale material removal. When the nano-machining process is conducted on Atomic Force Microscopy (AFM) instruments, the AFM probe, which is employed as the cutting tool, can be affected by substantial wear of the probe tip. As the tool operates at the nanoscale, the AFM tip experiences significant stress and friction, leading to tip wear that diminishes precision, and impacts the quality of machined surfaces. The present study proposed a simulation framework for nano-scale machining of OFHC-Cu material using a mesh-free technique developed by in-house Lagrangian smooth particle hydrodynamics (SPH) code and finite element method (FEM) employing the dynamic explicit algorithm. The influence of the tip radius as a result of tool wear on the cutting mechanism is analysed. The study found that the cutting mechanism shifted from shearing to ploughing as the tip radius increased to 3.3 times the scratching depth for OFHC copper material. Further, the study explores the impact of scratching depth, rake angle, and tip radius on cutting forces, groove dimensions, and deformed thickness. Increased tip radius results in intense material deformation, indicated by higher cutting forces. The prevalence of normal forces over cutting forces suggested the extrusion of material near the tip radius under significant contact pressure. The ploughing mechanism was also shown to be a more likely processing phenomenon at an increased negative rake angle.
Social Media Platforms: Investigate Sentiment Analysis For Transforming Business Decisions In Car Segments
Authors: Prapullakumar Gowtham Pyate  , B. Balaji Srinivasan
Published: June 2024

The automotive industry is one of the most significant global economic drivers. There has been a steady rise in both the expectations and the level of competition. Thus, to attain a better competitive advantage in the market, the companies carefully analyze the consumers’ opinions on social media platforms to enhance business decisions. Existing studies have shown various analyses of consumer opinion towards brands or products, particularly on one social media platform. Yet, limited studies have explored sentiment analysis in social media text and reviews of preferences of car brands. This research aims to investigate the impact of social media sentiment analysis on business choices involving automotive companies. In this study, a dataset has been taken from a total of five car brand models of Kia, Hyundai, Toyota, Maruti Suzuki, and Mahindra with three social media platforms, namely Twitter, Facebook, and Instagram. Sentiment analysis has been applied to explore the user’s opinions and reviews about five brand car models. By the utilization of Natural Language Processing (NLP), sentiment analysis evaluates the emotional polarity status of users. It showed that the brand Hyundai has achieved a much higher positive polarity sentiment score than the other model. Further, it showed that it achieved a strong correlation between business decisions and sentiment in the social media platform of Facebook, where all the brand models attained strong correlations.
Exploración del medio para fortalecer autonomía en educación inicial [Exploration of the environment to strengthen autonomy in early childhood education]
Authors: Córdova-Cando Dora Jeanneth , Collaguazo-Vega Elcy Viviana , Alejandro-Cortés Daisy Alicia , Reinoso-Castillo Giovanna Patricia
Published: June 2024

Se tiene por objetivo analizar la exploración del medio para fortalecer autonomía en educación inicial. La investigación se configuró desde el enfoque cuantitativo y un tipo descriptiva con diseño no experimental, la población investigada corresponde a 13 niños de 4 años pertenecientes al Nivel Inicial de una institución privada en Loja, Ecuador. En lo que corresponde a adquirir niveles de independencia los niños se encontraron en un 31%, los mismos que luego de la aplicación de actividades en contacto con la naturaleza adquieren un 85%, mejorando un 54% en actividades de exploración con el medio. La ejecución de la planificación micro curricular por experiencias de aprendizaje activando el eje transversal de la exploración del medio, mediante salidas pedagógicas bien planificadas y organizadas permite, la adquisición de habilidades y destrezas que lleva al óptimo desarrollo integral de los niños de este nivel.
Auditoría de gestión en la responsabilidad social corporativa en las cooperativas de ahorro y crédito [Management audit of corporate social responsibility in savings and credit cooperatives]
Authors: Paz-Loayza Jennifer Charlotte , Vásconez-Acuña Lenyn Geovanny
Published: June 2024

La investigación tiene por el objetivo consiste en desarrollar un instrumento de evaluación para determinar el cumplimiento de los principios de la RSC en las COAC del Ecuador. Se trabajó con una metodología descriptiva con diseño no experimental. El instrumento de auditoría de gestión desarrollado para evaluar el cumplimiento de los principios de RSC en la COAC San José proporciona información valiosa sobre la implementación de prácticas éticas y socialmente responsables en la cooperativa. Las COAC desempeñan un papel vital en la inclusión financiera y el desarrollo económico local, y su compromiso con la RSC no solo fortalece su relación con los socios y la comunidad, sino que también mejora su competitividad, su capacidad para enfrentar los desafíos del entorno empresarial. La auditoría de gestión emerge como una herramienta esencial para garantizar la alineación de las prácticas de las COAC con los principios de RSC y promover su crecimiento sostenible.
Gestión de seguridad y salud laboral en el laboratorio de suelos de la UCACUE [Occupational health and safety management in the soil laboratory of UCACUE]
Authors: Villavicencio-Villavicencio Janeth Viviana , Silva-Caicedo Rommel Fernando , Mariño-Andrade Henry Geovanny , Quinde-Alvear Ángel Giovanny
Published: June 2024

Este estudio tiene como objetivo analizar las medidas de gestión de seguridad y salud laboral implementadas en el laboratorio de suelos de la Universidad Católica de Cuenca – Ecuador. La investigación desde el punto de vista metodológico fue de tipo descriptivo con un diseño no experimental, transeccional, la población estuvo conformada por un universo de 18 personas, incluidos personal administrativo, docentes y técnicos docentes que se desempeñan en el Laboratorio de Suelos de la Universidad Católica de Cuenca, en el periodo 2023 – 2024. Solo el 5.56% cree que la señalización de seguridad es adecuada. En contraste, el 55.56% percibe una falta de señalización suficiente, mientras que el 38.89% la considera parcial. La falta de una normativa sólida, la escasa conciencia y cultura de seguridad, junto con la deficiente supervisión, son aspectos críticos que podrían afectar negativamente la gestión actual en este ámbito.
“1+X”证书背景下“校企合作、课证融合”的人才培养模式研究 ——以人力资源培训与开发课程为例
Authors: Wang Peng
Published: June 2024

高等职业教育如何才能与时俱进，国务院于2019年1月印发了《国家职业教育改革实施方案》，并在该方案中明确指出，为深化复合型技能人才培养模式改革，在部分满足条件的高职院校中启动“1+X”证书制度试点工作，鼓励职业院校学生在获得学历证书的同时，参加各类职业技能培训，通过政府部门组织的考试后，可获得各类职业技能等级证书，从而打通职业院校人才培养与一线企业人才需求的瓶颈。本文将以重庆青年职业技术学院人力资源培训与开发课程为例，探讨如何打造人力资源管理专业课堂路径，改进教学方法，提升学生学习效果，优化人才模式培养模式，为职业院校“校企合作、课证融合”教育教学改革提供一种新方法和思路。
Analysis of Prognostic Factors in Non-Traumatic and Non-Diabetic Retinopathy Patients Undergoing Vitrectomy
Authors: Dong Mingxia , Xiao Qing , Liu Chenwei , Fan Baoliang , Han Ru
Published: June 2024

AIM: Vitrectomy is one of the crucial therapeutic interventions for non-traumatic and non-diabetic retinal diseases. However, the prognosis of patients undergoing this procedure and the factors affecting prognosis remain to be clarified. The aim of this study was to analyze the prognostic factors of non-traumatic and non-diabetic retinopathy complicated by vitreous hemorrhage.
METHODS: A retrospective study was conducted on 352 patients, including 152 (43.18%) females, who underwent vitrectomy in our hospital from March 2018 to December 2022, divided into Group A (postoperative complications) and Group B (no complications) according to whether complications occurred during postoperative follow-up. General and clinical data of the two groups were collected and compared. Binary logistic regression was used to analyze the main factors affecting prognosis.
RESULTS: All patients were followed up for 12 months. A total of 87 patients had postoperative complications, accounting for 24.72% (87/352), and were classified as Group A. A total of 265 patients who had no postoperative complications, accounting for 75.28% (265/352), were classified as Group B. There were significant differences in preoperative visual acuity, time of surgical intervention, preoperative fundus condition, stage of retinopathy, preoperative intraocular pressure and age between the two groups (p < 0.05), and these indices were identified as independent risk factors affecting the prognosis of patients (odds ratio >1).
CONCLUSIONS: Preoperative visual acuity, time of surgical intervention, preoperative fundus condition, stage of retinopathy, preoperative intraocular pressure and age are all factors affecting the prognosis of patients with non-traumatic and non-diabetic retinopathy while undergoing vitrectomy. Personalized care is required to improve the surgical outcome for these patients.
The Effect of Conventional Open Thyroidectomy on Clinical Results and Respiratory Function Tests in Multinodular Goitre
Authors: Bolat Haci , Kaçmaz Mustafa
Published: June 2024

AIM: The primary aim of our study was to measure the effect of conventional open thyroidectomy performed for patients with multinodular goiter (MNG) on pulmonary volumes measured with respiratory function tests independent from surgical indications. A secondary aim was to determine whether there was a significant improvement in the complaints due to obstructive symptoms after MNG surgeries.
METHODS: This study was conducted between October 2020 and June 2022. Patients who were hospitalized to undergo surgery for giant multinodular goiter were prospectively included in the study. Patients were questioned about complaints of pressure, hoarseness, dyspnea, sleep apnea, snoring, and dysphagia before the surgery and during the follow-up 6 months after surgery. In addition, pulmonary function tests were performed preoperatively, 48 hours after surgery and 6 months after surgery. Forced expiratory volume in 0.5 seconds forced expiratory volume in 1 second and forced vital capacity values in pulmonary function test (PFT) measurements were recorded.
RESULTS: A total of 55 patients, 42 females and 13 males, mean age 49.54 ± 13.6 years, were included in the study. Although there was a significant decrease in clinical symptoms caused by the thyroid volume within 6 months in patients who were operated for giant MNG there was no significant change in pulmonary function tests. There was a positive correlation between the thyroid volume and nodule weight in patients with MNG.
CONCLUSIONS: Our results suggest that it is not necessary to follow up with patients without obstructive findings in preoperative pulmonary function tests with pulmonary function tests in the postoperative period.
The Mediating Effects of Work-Life Balance on the Relationship of School Heads' Leadership Practices and Teachers' Work Satisfaction
Authors: Borreba Lelet , Potane Joel
Published: June 2024

This study sought to determine whether work-life balance mediates the relationship between school leaders' leadership and teachers' job satisfaction. The descriptive-correlational research design was used in the study, which involved 176 randomly selected public school elementary teachers from the Division of Misamis Oriental, Philippines. The main data source for this study was a modified, and validated survey questionnaire. The study found that most respondents were female and that the 31-45 age bracket is particularly well represented. Furthermore, the prevalence of Teacher I positions suggested that the study sample was primarily composed of entry-level teaching roles. In terms of service years, those with 6-10 years were the largest group. However, in terms of civil status, the results revealed a predominance of married people. The most common category of children is those with 2-3 children, and the most common income category is 25,001-30,000 per month. In addition, work-life balance does not differ significantly by gender, age, service years, civil status, children, or income level. It implies that different groups may have unique needs and preferences for maintaining and achieving work-life balance. Furthermore, no direct correlation has been found between work-life balance and satisfaction; therefore, school administrators must investigate this relationship further. The indirect, direct, and total effects were not statistically significant, suggesting that work-life balance does not mediate the relationship between leadership and job satisfaction. Schools and educational institutions can investigate further the benefits of focusing on leadership development programs that improve leadership skills and practices to positively influence teacher satisfaction.
Public Elementary Teachers’ Motivation and Pedagogical Competence In Teaching Non-Readers: A Correlational Study
Authors: Ortega Wilson , Sumayo Gideon
Published: June 2024

This quantitative study employs a descriptive-correlation research design to determine the motivation and pedagogical competence level of public elementary teachers teaching non-readers in a school district in Alamada, Cotabato, Philippines. It further examined the influence of their motivation on their pedagogical competence. Thirty-five teachers from Grades 1-3 participated in the study. More so, the study utilized content-validated and pilot-tested survey questionnaires to extract the data from the respondents. Descriptive statistics, such as frequency count, mean, and percentage, were utilized, and multiple linear regression was employed for the correlation test. Based on the result, the teachers' overall level of motivation to teach non-readers was very high. More so, the responses indicated a high level of identified regulation, reflecting strong intrinsic motivation. Both introjected regulation and extrinsic motivation were also reported as high, while amotivation was notably low. Moreover, the data revealed that the teachers in Grades 1-3 from one school district in said town were considered very competent. However, this present study found that there is no significant influence between teachers’ motivation and their pedagogical competence in teaching non-readers. The current study recommends that school administrators consider possible actions directed towards sustaining and enhancing high motivation because it can still impact teaching effectiveness and student outcomes while teaching non-readers.
Application of Herzberg's Two-Factor Theory: Motivational Factors and Hygiene Factors in the Financial Industry
Authors: Ybañez Romario
Published: June 2024

This study aimed to investigate the applicability of Herzberg's Two-Factor Theory of Motivation within the financial sector, focusing on banking institutions through a quantitative approach. Through meticulous statistical analysis using the weighted mean formula, data from 100 bank employees, spanning ages 20 to 54, with a gender distribution of 35 males and 65 females, was methodically processed. Each respondent was presented with thoughtfully crafted questionnaires, aimed at pinpointing instances where they experienced notable satisfaction or dissatisfaction in their work or office atmosphere. The findings uncovered pivotal motivational factors within the bank's environment, highlighting recognition, responsibility, and opportunities for growth as key drivers of motivation among employees. Interestingly, the study also shed light on hygiene factors, such as company policies, relationships with superiors, and salary, revealing a strikingly low level of dissatisfaction among employees. These results suggest that the working conditions and support systems within these banking institutions are largely meeting or exceeding employee expectations, contributing positively to their overall motivation and satisfaction. In conclusion, this research validates Herzberg's theory within the context of banking but also offers valuable insights for institutions aiming to enhance employee motivation and engagement.
LA PROPOSTA DI REGOLAMENTO DEL PARLAMENTO EUROPEO E DEL CONSIGLIO SUGLI ORIENTAMENTI DELL’UNIONE EUROPEA PER LO SVILUPPO DELLA RETE TRANSEUROPEA DEI TRASPORTI
Authors: Bocchese Donatella
Published: June 2024

La presente obra es fruto de la celebración del VIII Congreso Internacional de Transporte: el transporte ante el desarrollo tecnológico y la globalización, que tuvo lugar en Benicàssim (Castellón) los días 28, 29 y 30 de septiembre de 2022, organizado por el Instituto Universitario de Derecho del Transporte de la Universitat Jaume I de Castellón (IDT). Recoge más de cuarenta trabajos, entre ponencias y comunicaciones, que se ocupan de distintas cuestiones de actualidad relacionadas con el sector del transporte en todos sus modos (terrestre, marítimo y aéreo), desde una perspectiva tanto de Derecho privado como de Derecho público. El Instituto Universitario de Derecho del Transporte (www.idt.uji.es) es un centro dedicado a la investigación, la consultoría y la formación en el ámbito del Derecho del Transporte. De entre sus actividades destacan la impartición de un Máster en Derecho del Transporte, en versión on-line, la organización de congresos y seminarios, la coedición de una colección de monografías, o la dotación de un premio de investigación sobre la materia.
INTELIGENCIA ARTIFICIAL Y COOPERACIÓN JUDICIAL PENAL INTERNACIONAL: INSTRUMENTOS Y POSIBILIDADES
Authors: Martín Diz Fernando
Published: June 2024

El uso de las TICs en la cooperación jurídica penal internacional: construyendo la Sociedad digital de futuro es una obra colectiva fruto de la investigación en el marco del Proyecto de Excelencia «El uso de las TICs en la cooperación jurídica penal internacional: construyendo la sociedad digital andaluza del futuro (PAIDI-PY18-1059)», coordinado por la Dra. Leticia Fontestad Portalés. Partiendo de la idea de que los instrumentos de cooperación judicial penal internacional no pueden quedarse rezagados en el proceso de digitalización de la Justicia, se estudia en esta obra la transformación digital de la Justicia española, así como el intercambio electrónico transfronterizo de datos a través del sistema e-CODEX, consecuencia de la cooperación judicial internacional en red. Datos que, también deben ser objeto de protección a la luz de la Directiva UE 680/2016 y la Ley 7/2021. Se ofrece, igualmente, el examen de cuestiones de indudable actualidad como son la prueba electrónica en los procesos penales transfronterizos, el uso del blockchain para el aseguramiento y conservación de las pruebas electrónicas, el análisis de la «cooperación» penal internacional entre fiscales europeos delegados en el ámbito de la prueba transfronteriza a través de las nuevas tecnologías, las medidas tecnológicas de investigación en relación con las órdenes europeas de investigación o el análisis de los instrumentos y las posibilidades de la inteligencia artificial en el ámbito de la cooperación judicial penal internacional.
Kor, demens og livskvalitet: Kvantitative resultater fra en korttids pilotstudie av et korprosjekt for mennesker med demens.
Authors: Stensæth Karette , Aasskildt Karoline K. , Brean Are , Johansson Kjersti , Stedje Kristi , Kvamme Tone
Published: June 2024

Tidligere og pågående studier med personer med demens der sang og musikk inngår antar effekt og positive tendenser på symptomer og livskvalitet hos personer med demens. Behovet for dokumentasjon er fortsatt til stede. Denne studien er en pilot og undersøker korsang med personer med demens, gjennomført med tolv deltakere over en periode på åtte uker. Koret studien forsker på er del av en fjernsynsdokumentarproduksjon. Studien har som mål å bekrefte/avkrefte tidligere funn og tendenser knyttet til effekt av korsang på symptomer og livskvalitet for personer med demens. I studien gjennomførte vi standardiserte skjemabaserte målinger på adferdsmessige og psykologiske symptomer på demens, depresjon, apati, livskvalitet og humør. Resultatene viser tendenser som bekrefter tidligere funn, på samtlige målinger. En av målingene, Dementia Mood Picture Test, viser signifikant effekt på bedret humør hos kordeltakerne etter hver korøvelse sammenlignet med målinger gjort før øvelsene. De andre målingene viser ingen negative endringer. I sum er resultatene gode, og det er grunn til å tro at en styrkeberegnet oppfølgingsstudie med intervensjoner gjennomført med flere deltakere over lenger tid, og sammenlignet med en kontrollgruppe, vil kunne påvise signifikant effekt på flere av målingene. En kritikk er at resultatene kanskje vil kunne se annerledes ut når kordeltakelse gjennomføres utenfor rammene av en omfattende fjernsynsproduksjon. Det er også behov for å se om kvalitative data kan utfylle noen av de positive, men likevel begrensede, funnene i studien.
Rettelse: «Kor, demens og livskvalitet. Kvantitative resultater fra en korttids pilotstudie av et korprosjekt for mennesker med demens”
Authors: Stensæth Karette , Aasskildt Karoline K. , Brean Are , Johansson Kjersti , Stedje Kristi , Kvamme Tone
Published: June 2024

Rettelse til: Musikkterapi 2022 / Tidsskriftet Musikkterapi 2024, https://doi.org/10.69625/318192.HBVZ3091
Peran Keluarga dalam Menanamkan Nilai Kasih Terhadap Remaja Kristen Masa Kini
Authors: Zai Rini Karnila , Oet Supriadi
Published: June 2024

The rapid development of technology and the possibility of doing things yourself has caused a decline in the value of togetherness and caring for others. This is no exception for teenagers who are in a transition period, being targets who are more vulnerable to experiencing a loss of sympathy and empathy for their environment. Adolescence or often referred to as a period of searching for identity is a time when a person will prioritize his own interests (ego) without caring about other people. Of course, this is the main duty and obligation of parents to instill the value of love in teenagers through these times. The Bible writes about the primacy of love in human life (cf. John 12:10; Matt. 22:39; John 13:34-35). Living in love is able to control someone to walk without having to get rid of others, to rise without having to put others down, but rather walking together and caring for each other in every season of life.