bluuebunny/crossref_metadata_2025 huggingface dataset:
Examining The Care Pathways Patients Experience When Accessing Outpatient Psychiatric Care in British Columbia
Authors: Jessa Husayn , Rudoler David , Lavergne Ruth , Peterson Sandra , McCracken Rita , Kaoser Ridhwana
Published: September 2024

The British Columbia (BC) mental health roadmap prioritizes equitable access to care. This study investigates the equity of care pathways experienced by BC residents accessing outpatient psychiatric care for the first time. Community-based care pathways are paramount as they indicate timely access to care and are less expensive for the health system. 
We analyzed linked administrative BC health data spanning April 1st 2013, to March 31st 2022, to study how sociodemographic factors relate to accessing psychiatric care pathways. Pathways to outpatient psychiatric care include a community-based pathway, hospitalization to primary care to outpatient psychiatry, and hospitalization directly to outpatient psychiatry. Sociodemographic factors considered were administrative sex, immigration recency and status, neighbourhood income quintile and being a recipient of a low-income drug plan. These relationships were analyzed using multinomial logistic regression, adjusting for age, location, fiscal year, and stratifying by mental disorder diagnoses. 
Being male, a low-income drug plan recipient, living in a lower income neighbourhood, or being a recent economic immigrant or permit holder was associated with increased odds of accessing outpatient psychiatric care via either hospitalization pathway. Having a diagnosis of schizophrenia/bipolar disorder was independently associated with both hospitalization pathways, and this diagnosis exacerbated the magnitude of the estimates for the sociodemographic characteristics. 
We find clear disparities in pathways to accessing outpatient psychiatric care. These disparities indicate health system failures in addressing specific population needs, highlighting the importance of targeted interventions, such as increasing the number of community health workers, to achieve equitable mental health care in BC.
Using System Dynamics for Local Authority Public Health practice in England
Authors: George Abraham
Published: September 2024

A key function of local authority public health teams in England is to undertake a regular health needs assessment of their population. This involves forecasting, among other things, prevalence and incidence of long term conditions and health care service demand. Over the last few years, Kent County Council Public Health has adopted the use of system dynamics modelling (SDM) to not only do this but generate scenarios to simulate the impact of different interventions across different cohorts defined by age groups and diagnosable conditions. These include “no conditions” as well as understand the combined effects of different interventions, demographic changes and wider health determinants. Risk factors, such as smoking, diet and physical activity, were calculated using local linked data for the incidence of single conditions, progression toward complex needs and levels of morbidity including frailty. These were used to create the dynamics of the model. Incidence, prevalence and mortality for each cohort were projected over 25 years with “do nothing” and “Better Health” scenarios. The size of the “no conditions” cohort increased, and the other cohorts decreased in size. The impact of the interventions on life expectancy at birth and healthy life expectancy was significant. SDM heavily influenced local authority commissioning decisions for health improvement services redesign such as smoking cessation, weight management as well as other secondary prevention measures such as hypertension management and cardiovascular disease screening delivered by General Practice and other health service partners.
Association between neighbourhood poverty and type 2 diabetes risk. Does moving from a high to lower poverty neighbourhood reduce diabetes risk?
Authors: Majumder Sharmin , Booth Gillian , Moineddin Rahim , Pinto Andrew
Published: September 2024

ObjectivesDiabetes, a pressing global public health crisis, Diabetes, a global health crisis, is significantly impacted by social determinants, including neighborhood characteristics. This study aims to to assess whether relocation from a high poverty to lower poverty neighbourhood is associated with a reduction in T2D incidence.
Methods and ResultsThis population-based, propensity-matched cohort study will use linked administrative health to examine the association between neighborhood relocation and T2D incidence. The study population will include adults (age ≥20 years) residing in high poverty urban neighborhoods between April 1st, 2002, to March 31st, 2021, as defined by an area Low-Income Measure - After Tax value of 38,730 dollars for a household size 4 based on the Canadian Census. Individuals will be followed for a new diagnosis of T2D using a validated algorithm based on hospitalization and physicians’ claims data. Propensity score matching will used to match individuals who moved from high-to-lower poverty neighbourhoods to one of two comparison groups: those moving from high-to-high poverty areas and those who remain in their original neighbourhood. Time-to-event analysis utilizing Cox proportional hazards regression with a robust variance estimator will be used to compare T2D incidence between matched groups. As a sensitivity analysis, non-propensity score modeling will be conducted using neighbourhood of residence as a time-varying covariate. The results of the aforementioned analyses will be presented during the conference.
ImplicationsBy clarifying the link between neighborhood poverty and T2D incidence, the results will guide focused interventions to alleviate health inequalities in socioeconomically disadvantaged areas.
Modernizing the U.S. Census Bureau’s Demographic Programs
Authors: Velkoff Victoria
Published: September 2024

The U.S. Census Bureau is modernizing its approach to producing demographic data to more effectively and efficiently meet the growing demand for high quality, comprehensive, and timely official statistics. This panel introduces four transformation efforts: the Demographic Frame, National Experimental Wellbeing Statistics (NEWS), and the Census Household Panel.
Perspectives of Quraish Shihab and Yusuf Qaradhawi on Usury and Interest in the Context of Islamic Finance
Authors: Sehabudin Dedeng , Pahala Lamlam , Rahayu Sri , Vladimirovich Kurganov Maksim
Published: September 2024

This research explores the perspectives of Quraish Shihab and Yusuf Qaradhawi on the concepts of usury and interest in the context of Islamic finance. Through a literature review methodology, the study provides a descriptive analysis of their viewpoints as presented in various sources, such as books, scholarly works, and related literature. Quraish Shihab's perspective revolves around the intrinsic injustice associated with prohibited usury. He contends that usury involves elements of oppression, exploitation, and duplication, emphasizing the simultaneous taking of excess with debt. Quraish Shihab's view positions usury as a system that perpetuates injustice through its exploitative nature. In contrast, Yusuf Qaradhawi offers a different interpretation, characterizing bank interest as an additional value determined by the payer. Yusuf Qaradhawi introduces a pragmatic dimension by highlighting that, in the case of non-repayment, the debt's amount increases at the specified payment time. This perspective suggests a more flexible approach, where interest is seen as a consequence of delayed repayment rather than an inherently unjust practice. In analyzing the abstractions presented by both scholars, this research unravels the complexities within Islamic finance. It reveals the nuances between Quraish Shihab's emphasis on the inherent injustice of usury and Yusuf Qaradhawi's more practical approach, considering interest as a result of delayed repayment. Through this comparative study, the research contributes to a more comprehensive understanding of the diverse perspectives within the Islamic financial framework.
An analysis of The Halal Certification Movement for MSME (Micro, Small, and Medium Enterprises) Actors: A Case Study on Halal Tourism in Kudus Regency
Authors: Nafis Abdul Alimin , Agung Slamet Sukardi  , Muhammedi Ssonko
Published: September 2024

Kudus Regency is one of the districts that has tourism potential in the field of halal tourism, where elements that support halal tourism include MSMEs, even though halal certification on MSME products is still minimally applied by MSME actors, especially those in halal tourism in Kudus Regency. The lack of knowledge is also one of the reasons why MSME actors and administrative procedures need to be better understood by MSME actors. This study aims to provide an understanding of the urgency of the halal certification movement for MSME actors in the halal tourism sector so that it is expected to create new jobs. This research uses a qualitative approach by interviewing ten people consisting of MSME actors, where the interview emphasizes the importance and understanding of Halal certification in MSMEs. The results of this study show that with Halal certification on MSME products, consumers increasingly trust and get guarantees from these products, so products that have Halal certification increasingly show that they are worthy of a massive market. The government, Halal Certification Companions, and stakeholders are advised to play a vital role in enhancing MSME participants' understanding of halal certificates for MSME products in halal tourism zones, according to this study.
A method of automating the process of calculating reliability indicators of software systems and their components
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Seniv M. M.
Published: September 2024

The existing means of calculating reliability indicators of software systems are analyzed. It has been established that to determine the reliability indicators of software systems, it is advisable to use the structural-logical analysis of reliability block diagrams, since it clearly and most adequately reflects the process of calculating the reliability indicators of the software system as a whole and its components in particular. Despite the  external simplicity of such an analysis, conducting it is not a trivial task, because even building the condition of technical system operability is a difficult task, especially in the case of the presence of many elements with various connections between them, when solving which manually there is a very high probability human error. Also, the construction and visualization of the graph of states / transitions is a nontrivial task, since the  number of possible states of the software system depending on the number of elements grows exponentially, and, in turn, increases the complexity of the system of differential equations, the solution of which makes it possible to calculate the necessary reliability indicators. It was determined that the process of reliability design of complex software systems in general, and their components in particular, requires automation of all its  stages, starting from the compilation of the reliability block diagram (RBD), and ending with the visualization of the obtained results. A method of automating the process of calculating the reliability indicators of software systems and their components has been developed, which consists of eight steps and, unlike the existing ones, allows the designer to intuitively enter not only input data about the structure, but also the software  architecture itself from the point of view of its reliability, and also automates all stages of calculating reliability indicators, from the stage of constructing a reliability block diagram to the stage of finding the distribution of probabilities of the software system being in all possible states. The proposed method makes it possible to use in various combinations the methods,  lgorithms and software tools used for the reliability design of software systems and to choose from them the most adequate to the needs of the user in a specific situation. The use of the developed method makes it possible to reduce the influence of the human factor and the probability of making an error in the process of calculating reliability indicators of software systems at all stages of reliability design and to reduce its time by at  least 21 %.
Quantitative assessment of the visual quality of digital images based on the laws of human visual perception
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Zhuravel I. M. , Onyshko V. R. ,   Lviv Polytechnic National University, Lviv, Ukraine, Zhuravel Yu. I. ,   Lviv Polytechnic National University, Lviv, Ukraine, Ambroziak K. A. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

The existing methods of quantitative assessment of the visual quality of digital images are studied. Among the main shortcomings of the studied methods, the following can be singled out. Most of them require a reference image, do not include all the components that affect visual quality and do not take into consideration the laws of human visual perception. It was decided to develop a method for quantitative assessment of the visual quality of images, which will work without a reference image and will take into account the regularities of human visual perception. There are characterized the main regularities of human visual perception, which are used in the development of the technique. A classification of the researched methods of quantitative assessment of image quality is proposed for structuring their analysis. It was decided to investigate methods of quantitative assessment of quality based on statistical analysis of image pixel intensities. There are described factors affecting the quality of images and methods of their control based on changes in the pixel intensity distribution histogram. A generalized expression of quantitative quality assessment based on moments is proposed. A methodology for quantitative assessment of the visual quality of images has been developed, which does not require a reference image and is based on the laws of human visual perception. This method was tested on an image processed by local contrast enhancement and low-pass filtering. The test results showed that the visual perception of image quality coincides with the quantitative assessment of its quality. It is possible to use the proposed method with some modifications to determine the quality of color images. Moreover, a potential avenue for advancing the proposed method involves adapting it for evaluating images afflicted by distortions induced by noise presence.
Forecasting of soil moisture using machine learning in smart agriculture systems
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Fedasyuk D. V. , Kostiuk M. O. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

Growing crops in modern conditions is a complex task and practically combines the practices of experience and the latest methods, including information technology, which has become part of the concept of "smart farming". An important factor in the stable predicted yield is the level of soil moisture, which is the result of changes in climatic factors such as air temperature, soil temperature, intensity of solar radiation, rainfall, wind speed, etc. A methodology for processing real historical indicators of climate change in a certain geographical area with subsequent training and application of machine learning models to predict soil moisture is proposed. To build a machine learning model, the following algorithms were selected and studied: the algorithm of regression trees, random forest, linear regression, M5P algorithms and the K* algorithm. The data source for training the models is the open information resource International Soil Moisture Network (ISMN) from ismn.earth/en. , which provides data on soil moisture and temperature, air temperature, and rainfall. Other data was used from the Open Meteo information service, which provides a free API and allows you to get historical data and weather forecast in specified coordinates during specified days.  A data structure was developed to train the model for further prediction of soil moisture.  An architecture has been developed and a software system for predicting soil moisture based on machine learning algorithms has been created using the Spring Framework, the WEKA library and Java FX with the ability to select and study the appropriate algorithms. Experiments have been carried out and the results of the duration of model training have been presented, while the algorithms of regression trees and linear regression require the least training time. A comparison of algorithms is made according to the following criteria: learning speed, cross-testing speed, prediction speed, testing performance indicators for real historical data.  Based on the results of the study, conclusions are drawn about individual algorithms, the feasibility of using them to predict soil moisture based on climatic indicators.  The obtained results will make it possible to evaluate and select the best models of machine learning in the design of the information and analytical system "smart agriculture" for forecasting soil moisture.
Models and means of clothing elements patterns classification using machine learning
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Teslyuk V. M. , Ivasiv S. S. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

The task of pattern classification remains relevant in the fields of trends, style, fashion, personalization, manufacturing, and design. Research aimed at the design and development of models and means of classification of patterns of clothing elements using machine learning is highlighted. The study addresses a pertinent issue in computer vision, namely: increasing the efficiency of classification of patterns of clothing elements. The research was conducted with a proprietary dataset comprising 600 images. The following patterns are defined for classification: “checkered”, “dotted”, “vegetation/floral”, “print”, “solid”, “striped”. A convolutional neural network was developed using the Python programming language and deep learning frameworks Keras and TensorFlow. The scalable Keras-Tuner framework was used to optimize the hyperparameters of the developed network. The structure of the convolutional neural network includes an input layer, a feature extraction part, and a pattern type determination part. The architecture of the applied convolutional neural network is described. The CUDA Toolkit, the cuDNN library and the WSL layer are applied to train a convolutional neural network using a GPU, significantly speeding up the training process. Metrics including accuracy, precision, and recall were used to evaluate the developed convolutional neural network. The web application is developed in the Python programming language with the FastAPI framework. The web application has a described API for interacting with a convolutional neural network, and uses the Pillow (PIL) libraries for working with images and Rembg for image background removal. The user interface is developed in the JavaScript programming language with HTML, CSS and the React framework. The user interface is presented as an intuitive tool for interacting with the system. The developed software uses the modular principle, which allows for rapid modernization of the software. As a result of applying transfer learning, a testing accuracy of 93.33% was achieved, and with fine-tuning, the final version of the convolutional neural network for the classification of patterns of clothing elements with a test accuracy of 95% was obtained. The trained neural network was tested on new images of the specified types of patterns, examples for two patterns are given.
Research of data mining methods for classification of imbalanced data sets
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Doroshenko A. V. , Savchuk D. Y. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

With the rapid development of information technology, which is widely used in all spheres of human life and activity, extremely large amounts of data have been accumulated today. By applying machine learning methods to this data, new practically useful knowledge can be obtained. The main goal of this paper is to study different machine learning methods for solving the classification problem and compare their efficiency and accuracy. A separate task is data pre-processing aimed at solving the problem of sample imbalance, as well as identifying the principal components that will be used to solve the classification problem. For this purpose, an information system for classifying the bankruptcy of a company with specified economic and financial characteristics was researched and developed. The study uses a dataset on the basis of which the efficiency and quality of application of several existing classification algorithms are evaluated. These classifiers are: conventional and linear Support Vector Machine, Extra Trees, Random Forest, Decision Tree, Logistic Regression, Multilayer perceptron Classifier, Gradient Boosting, Naive Bayes Classifier. For data pre-processing, we scaled the data, used the SMOTE method to get rid of the imbalance of the training sample, and performed principal component analysis and L1 regularisation. Principal component analysis allowed us to identify 15 principal components that have the greatest impact on classification accuracy and, accordingly, use them in the classification process. Analysing the results, we found that the best classifier was Random Forest with 95.9 % accuracy, and the worst was Naive Bayes with 85.1 %. To evaluate the quality of classification and select the best classifier, the Confusion matrix is used, which takes into account the number of true positive (TP) and true negative (TN) values, as well as the number of false negative (FN) and false positive (FP) classification results, and the values of such metrics as accuracy, precision, sensitivity, F1, and ROC. Accuracy is the percentage of correct answers given by the algorithm, while Recall is the number of TPs divided by the number of TPs plus the number of FNs. F1 indicates the balance between accuracy and sensitivity. Precision is the number of true positive predictions divided by the number of false positive and true negative predictions. ROC AUC is a tool for measuring performance for classification tasks at different thresholds. It shows how well a model can distinguish between classes. The conclusions present the main results of the study and indicate the main future direction of the work, namely, the study of classification results for other datasets and more efficient processing and analysis.
Methods and techniques for the information and analytical systems of data protection and conversion assessment
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Troian O. A.
Published: September 2024

The goal of the research is to create an algorithm for analyzing vulnerabilities discovered and to enhance the data protection technique based on system penetration testing as a means of evaluating data security. The primary responsibility is to modify established security assessment techniques to fit the evolving technical landscape, namely cloud technologies and security system requirements. The issue of data protection evaluation of electronic documents is discussed in the article, and specifically, an A/B test was conducted. To address this issue, an analysis was conducted on current data protection evaluation methodologies and techniques, and an A/B testing system was constructed. These methods help to determine the level of danger of vulnerabilities, which allows you to effectively and visually determine the overall level of system security by evaluating each vulnerability found. The article examines the practical use of the method, prospects for further development, and features of the effectiveness of penetration testing as a method of assessing the security of information systems and the development of an algorithm for evaluating the vulnerabilities found. Researching the methods and means of security assessment, the work was aimed at creating a convenient and effective tool for assessing the security of data and documents in the network. The theoretical significance of the work is determined by the expansion of scientific knowledge in the field of information and analytical systems of electronic document management. The research aims to explore and apply big data analysis and machine learning techniques to improve data protection. The novelty of the research lies in the synthesis of modern methodologies of A/B testing and analytics within a single platform, which will allow electronic documents to protect data and increase efficiency from hacker attacks. The principles of the method are described along with the main approaches and techniques that contribute to the analysis of hacker attacks on online systems and cloud environments. The components of the method, which provide for data protection, were separately analyzed, and an analysis of system testing was carried out to determine the requirements for the new system and increase the level of protection against data theft. The application of methods and tools for assessing the security of networks, which use a complex of general scientific, experimental, practical, statistical, and mathematical methods for the implementation of algorithms and the formation of the determination of the levels of danger of vulnerabilities, is considered. The method includes data analysis tools, as well as analysis techniques that provide an opportunity to conduct flexible testing of changes on the site with further analysis and impact on conversion, which is important for increasing data protection and meeting consumer needs.
Integration of cloud technologies into virtual reality
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Batiuk A. Ye. , Kulyk Y.-M. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: September 2024

Investigated the possibilities of integrating cloud technologies into virtual reality in order to further improve software tools and increase its efficiency and accessibility. Analysed architectural and infrastructure solutions for the use of cloud services, processing and storage of large data in virtual environments. Conducted a comprehensive scientific study of the possibilities of integrating cloud technologies into virtual reality in order to increase the efficiency and accessibility of this technological segment. Studied the challenges that arise when integrating cloud technologies, in particular, the problems of delays in data transmission and measures to ensure security and privacy in cloud environments. Considered the necessity of developing a cloud infrastructure in popular cloud services, in particular, Amazon Web Services (AWS), to optimise computing tasks and increase overall efficiency, as well as the possibility of scaling virtual reality technology. Article considers the possibility of creating a solution for interacting with cloud resources and using virtual reality applications. The services of a cloud provider are used to allocate computing resources, create a data warehouse, create and manage a virtual network, install and configure solutions for deploying and configuring server software components, and conduct an experiment. Evaluated the impact of cloud technology integration on the quality and availability of virtual reality, and provide prospects for the development of this association. In addition, considered the possibilities of creating optimised solutions for interacting with cloud resources and using virtual reality applications, and assessed the impact of cloud integration on the quality and availability of virtual reality. Developed a software solution and approach for building a cloud infrastructure, described in detail all the steps of creating and deploying a virtual server and data storage for its interaction with virtual reality systems. Prospects for the development of such an association open up wide horizons for innovative technologies in the information technology segment. The results of the study can become an important source of relevant strategic information for further improvement of cloud-virtual environments and development of innovative technologies in the information technology segment.
Kausaalisuuden arviointi sosiaali- ja terveystieteellisessä tutkimuksessa
Authors: Silventoinen Karri , Latvala Antti
Published: September 2024

Kausaalisuuden selvittäminen on tärkeää sekä tieteellisesti että terveyspoliittisesti. Tässä artikkelissa esittelemme keskeisiä menetelmiä kausaalisuuden arviointiin sosiaalilääketieteessä. Kliinisessä lääketieteessä voidaan käyttää kaksoissokkokoetta, mutta sosiaalitieteissä ei useinkaan voida käyttää kokeellista asetelmaa ja sokkoistaminen on tuskin koskaan mahdollista. Koeasetelmaa on hyödynnetty interventiotutkimuksissa, mutta niiden ongelmana on monesti sekä intervention että seurannan lyhyt kesto. Ekologiset ja yksilötasoiset tilastolliset yhteydet voivat antaa viitteitä kausaalisuudesta, mutta ne harvoin voivat osoittaa sitä, vaikka tietoa sekoittavista tekijöistä olisikin käytössä. Seuranta-asetelmat voivat joskus tarjota luotettavampaa tietoa kausaalisuudesta, mutta se edellyttää riittävän tarkkaa seurantatietoa ja toistomittauksia sekä ennen että jälkeen altisteen. Sisarusten vertailu antaa mahdollisuuden vakioida epäsuorasti perhetaustan vaikutusta ja identtisten kaksosten tapauksessa myös geneettisiä tekijöitä. Joissain tapauksissa syntyy myös luonnollisia koeasetelmia, jotka mahdollistavat kausaalisten yhteyksien selvittämisen. Näitä ovat esimerkiksi tietoa lakimuutoksista tai muista ajallisista muutoksista hyödyntävä erojen erotus -asetelma (difference-in-differences) ja ikärajojen tai muiden kriteerimuuttujien katkoskohtien molemmin puolin olevia henkilöitä vertaava regressioepäjatkuvuusasetelma. Viime aikoina suosituiksi ovat tulleet instrumenttimuuttujien käyttö ja näiden erityistapauksena Mendeelinen satunnaistaminen. Näihin asetelmiin liittyy kuitenkin paljon oletuksia, joiden uskottavuutta tulee arvioida. Kausaalisuuden selvittäminen sosiaalitieteissä on haasteellista, mutta usein on mahdollista löytää tutkimusasetelma, jolla päästään pelkkiä tilastollisia yhteyksiä pidemmälle. Huolimatta ongelman hankaluudesta, kausaalisuuden kriittisen pohdinnan tulisi olla olennainen osa sosiaali- ja terveystieteellisestä tutkimusta.
Perception of the Learning Environment among Fifth-Year Students of the Faculty of Dental Medicine of Casablanca
Authors: Oumayma Wahid Hafssa , Al Jalil Zineb , Moussaoui Houda
Published: September 2024

Introduction: The “learning environment” (LE) concept generally refers to educational climate and university culture. It is an intrinsically complex phenomenon. It has various connotations (physical, social, cultural, emotional, and intellectual). In addition to influencing student behavior, the learning environment can predict their academic success, satisfaction, and success.
Objective: This work aimed to evaluate the students’ perception of the learning environment within the Fixed Prosthodontics department of Casablanca and to collect their suggestions for improving this learning environment.
Materials and method: A mixed epidemiological study was conducted with 5th-year students of the Faculty of Dental Medicine of Casablanca. The learning environment was assessed across the Dundee Ready Education Environment Measure (DREEM) for the quantitative part of the study and through focus groups for the qualitative part.
Results: The population studied comprised 58.5% female students with an average age of 22 years +/- 0.856. According to the charter interpretation of DREEM scores, learning domains, teaching, and atmosphere present many problems. Their respective scores were 27.4 +/- 6.32, 25.7 +/- 5.5 and 25.6 +/- 6.88. The areas of academic competence and social life received high scores. The students made suggestions for improvement in each field.
Discussion and conclusion: The students’ perception of their learning environment is an essential source of information for improving problem areas and enhancing the learning experience of students in terms of academic performance, overall health, well-being, quality of life, and future professional development.
Numerical Analysis of 3D Unilateral Quasi-static Contact: Effect of Coating Thickness and Mechanical Properties
Authors:   Institut Pprime UPR3346-IUT, Université de Poitiers, Futuroscope, F-86960, Poitiers, FRANCE, Djamai Andel
Published: September 2024

In this study, a numerical model for unilateral quasi-static contact between a rigid sphere and an elastic coating has been developed. The contact problem was solved using a numerical procedure based on the FFT technique, considering various coatings with different thicknesses and mechanical properties, implemented through a Matlab code. The model calculates the contact surface deformation and pressure field through a double iteration process. The first iteration solves the contact problem for a given indenter penetration, while the second iteration refines this penetration by minimizing the difference between the fixed and calculated loads. To achieve this, influence coefficients are derived from the elasto-static equations using the Papkovich-Neuber potentials. The study discusses the influence of coating thickness and friction coefficient value on the tribological behavior of the coating. The results indicate that contact pressure increases (ranging from 1.9 to 2.5) as the coating becomes thicker or more rigid (0.02 mm to 0.2 mm). Additionally, the tribological behavior of the coated surface is affected by the coating's thickness, hardness, and friction coefficient value. Importantly, this model demonstrates versatility by being applicable to both smooth and rough surfaces.
Tensile Properties of Open Hole and Unhole Sugar Palm ‘Ijuk’ (SPI) Fibre Composite Treated with Sodium Hydroxide (NaOH)
Authors:   School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, MALAYSIA, Jumahat Aidah
Published: September 2024

This study evaluates the effects of sodium hydroxide (NaOH) treatment on tensile properties of sugar palm 'ijuk' (SPI) fibre-reinforced polymer (FRP) composites, with and without an open hole that acts as a stress concentrator. The NaOH treatment is aimed to improve the interfacial adhesion between SPI fibres and polymer matrix. Composite specimens were prepared using the hand lay-up method, incorporating SPI fibres in various orientations, and featuring a 6 mm diameter hole. Tensile tests were conducted to evaluate the mechanical performance of SPI FRP composite, including ultimate tensile strength, Young's modulus, and elongation at break. The research also compared the properties of SPI to those of synthetic glass fibre in fibre-reinforced polymer composites. The results showed that NaOH treatment significantly improves the fibre-matrix adhesion with 26% increase in tensile strength, leading to enhanced tensile properties in both samples, regardless of hole presence. The 0° orientation provides the highest strength and stiffness when the load is applied in the direction of the fibres. While for the 90° orientation, strength reduces by 14%. The impact of the hole on stress concentration and the subsequent mechanical behaviour of the open-hole specimens is substantial. The findings of this study offer insightful perspectives on the potential use ofNaOH-treated SPI fibre in structural and other applications, demonstrating its ability to withstand tensile stresses, even with geometric discontinuities like holes.
Pengaruh Aplikasi Fungi Mikoriza Arbuskula (Glomus sp.) dan Giberelin terhadap Pertumbuhan Fase Vegetatif Tanaman Porang (Amorphophallus oncophyllus) di Tanah Ultisol
Authors: Agustini Fenny , Sembiring Mariani Br , Damanik Revandy I.M
Published: September 2024

Tanaman porang merupakan tanaman semak (herba) yang mempunyai prospek sebagai bahan pangan alternatif dan memiliki nilai ekonomis yang tinggi. Umbi tanaman porang yang merupakan bagian yang dimanfaatkan memiliki kandungan polisakarida (glukomanan) yang tinggi dapat digunakan sebagai sumber pangan. Tanaman porang juga sudah banyak dimanfaatkan di bidang industri dan kesehatan. Salah satu kendala dalam budidaya tanaman porang yaitu minimnya informasi dan teknik budidaya yang baik bagi tanaman porang terutama pada fase pertumbuhan vegetatif. Tujuan penelitian ini adalah untuk mengetahui efektivitas pemberian fungi mikoriza arbuskula (FMA) Glomus sp. dan zat pengatur tumbuh giberelin terhadap pertumbuhan fase vegetatif tanaman porang pada tanah Ultisol. Penelitian ini dilaksanakan di Dusun V Desa Telaga Sari Kecamatan Tanjung Morawa Kabupaten Deli Serdang, dimulai pada bulan Februari sampai dengan Juli 2023. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) Faktorial dengan 3 ulangan yang terdiri dari 2 faktor yaitu perlakukan dosis Glomus sp. (M0 = 0 g/tanaman, M1 = 10 g/tanaman, M2 = 20 g/tanaman dan M3 = 30 g/tanaman) dan perlakuan konsentrasi giberelin (G0 = 0 ppm, G1 = 50 ppm, G2 = 100 ppm dan G3 = 150 ppm). Hasil penelitian menunjukkan bahwa aplikasi Glomus sp. dengan dosis 20 g/tanaman memberikan pengaruh terhadap pertumbuhan tanaman porang yaitu meningkatkan bobot umbi sebesar 21,48 g, serapan hara P sebesar 36,19 mg/tanaman dan derajat infeksi akar sebesar 50% atau masing-masing lebih tinggi 93,17%, 42,59% dan 650% dibandingkan dengan kontrol. Aplikasi giberelin berpengaruh tidak nyata terhadap pertumbuhan vegetatif tanaman porang dan derajat infeksi akar oleh mikoriza di mana infeksi akar tertinggi sebesar 42,50% justru terjadi pada perlakuan tanpa pemberian giberelin.
Luis Barragán. Obra construida: jardines
Authors: Reyes Magaña Daniel Jesús , Hinojosa de la Garza Karla María , Silva Rodríguez Erik Valentín
Published: September 2024

Luis Barragán es reconocido por la armonía de la combinación de los estilos, colores, texturas y espacios. En sus jardines y paisajes los edificios dan paso a la abstracción de muros, planos y chorros de agua. Alineaciones de árboles ejemplares y expansiones de colores brillantes definen los primeros planos, mientras ensalzan la luz de un cielo perfecto. A través del contraste, la magnificación y la abstracción, el color intensifica el espacio exterior, su naturaleza y todas sus maravillas. En este trabajo se describen cuatro de sus obras: Casa Ortega; Unidad Habitacional Cobre de México; Parque Revolución y Jardín 17.
Piet Oudolf maestro del paisajismo
Authors: Reyes Magaña Daniel Jesús , Hinojosa de la Garza Karla María , Silva Rodríguez Erik Valentín
Published: September 2024

Piet Oudolf es un paisajista holandés nacido el 27 de octubre de 1944. Para Oudolf el diseño del jardín no sólo se trata de las plantas, es la emoción, el ambiente, la contemplación. A través de su obra intenta movilizar a la gente. Esa es la parte importante. Un jardín no es un paisaje que se mira, sino un proceso dinámico que siempre está cambiando. Por ello el usuario debe mantenerse en contacto con él todo el tiempo. En este trabajo se aborda el análisis de diversos elementos dentro de la obra de Oudolf, como son: Pavimentos; Mobiliario; Ornamentación; Infraestructura y Arquitectura menor, para después pasar al análisis de dos de sus proyectos: Hauser & Wirth Menorca y The High Line New York.
Competition, economic freedom and bank stability: Evidence from ASEAN
Authors: Nguyen Tuan Hai
Published: September 2024

This study examines how economic freedom and competition affect bank stability. We use data from 70 ASEAN-4 banks from 2007 to 2019 using the system generalized technique of moments. Results corroborate competition-fragility hypothesis. Market strength (or less competition) can boost bank stability. However, in the ASEAN-4 area, competition and bank stability have a non-linear relationship, suggesting that bank stability may decline after market strength exceeds a threshold. Financial and economic freedom also boosts bank stability. This implies banks in free financial and economic contexts are more stable. Banks with more market dominance in nations with more economic or financial autonomy may also be more unstable. The findings suggest that authorities should allow some competition and economic flexibility to keep banks stable. The study examined ASEAN-4 economic freedom’s effects empirically for the first time. It illuminates competitiveness and bank stability.
Development of strategic participatory moral education management model in private vocational colleges
Authors: Soonyeekhun Withawat , Poolkrajang Akkarat , Papanai Rinradee
Published: September 2024

Addressing society’s current ethical dilemmas necessitates urgent reinforcement of moral standards. Transforming student behavior necessitates integrating legal and social measures through proactive youth cultivation within educational institutions. This study focuses on a participatory, strategic approach to managing ethics in private vocational colleges in Thailand. The researchers gathered data through structured, in-depth interviews and opinion surveys from a sample group of 400 individuals, which included directors and department heads of these colleges. The research identified two main dimensions and eleven factors essential for moral education management in private vocational colleges. The first dimension encompasses six critical factors: resource management, structural policies, educational services, personnel, financial management, and materials and equipment management. The second dimension includes five key factors: school strategies, administrative policies, teacher roles, student engagement, and community stakeholder involvement. Statistical analysis supports the causal relationship model, revealing a Chi-Square value of 33.492 and a P-value of 0.055. This comprehensive approach aims to foster sustainable moral development and cultivate desirable societal behaviors among students. It contributes to national stability and aligns with educational and vocational development plans, effectively addressing broader socio-economic challenges. The findings underscore the importance of strategic, ethical management in private vocational education institutions as a cornerstone for nurturing a morally responsible student body and supporting national development goals.
Una aproximación a la relación de los conceptos de base y superestructura en Louis Althusser y Étienne Balibar
Authors: Del Pino Díaz David , Alvarado Castro Iván
Published: September 2024

Este artículo es una aproximación a la relación que guarda la base económica y la superestructura jurídico-política e ideológica en las obras de Louis Althusser y Étienne Balibar durante 1960 y 1970. Para ello, se explicará, en primer lugar, el contexto político e intelectual en el que Althusser y Balibar desarrollan sus trabajos. Posteriormente, se estudiará la crítica a una teoría general de los modos de producción. Esta discusión lleva a Althusser a la recomposición de la relación entre la base y la superestructura tras mayo de 1968. Por último, presentaremos la especificidad que toma esta relación en los trabajos de Balibar.
Platón en Basilea
Authors: Barrios Manuel , Chamorro Emmanuel
Published: September 2024

En los últimos años hemos asistido a un aumento del interés por la lectura cruzada de la obra de Nietzsche y Foucault alrededor de los temas convergentes de la estética de la existencia, la parresía y el cuidado de sí que se articulan a través de sus respectivos acercamientos al mundo grecorromano. Este nuevo nudo de la relación entre ambos autores permite desarrollar determinadas intuiciones que conforman sus análisis genealógicos de nuestra cultura, pero no habían ocupado la atención de los especialistas. En el presente trabajo no pretendemos dar cuenta en profundidad de todos estos controvertidos asuntos, pero sí arrojar algo de luz sobre ellos a partir del examen de un aspecto específico relacionado con este tipo de aproximaciones a la obra de Nietzsche y Foucault: el tratamiento que ambos dan a la figura de Platón a propósito de cuestiones tales como las de la vida filosófica, la voluntad de verdad o la ética del cuidado de sí. Así, volver a las lecciones que el joven Nietzsche imparte en Basilea y a los cursos y escritos del último Foucault nos permite complejizar su reconstrucción del platonismo más allá del tópico que identifica a Platón como el fundador de la metafísica.
Converting philology to philosophy A Platonic model and its inversion in Homer and Classical Philology
Authors: Lima Paulo Alexander
Published: September 2024

This article intends to demonstrate that Plato is present in the young Nietzsche’s thinking, particularly in the definition of philology that is proposed in Homer and Classical Philology. Indeed, Plato’s Sophist makes it possible to comprehend a core aspect of Nietzsche’s thinking on philology, that which is the starting point for all his thinking as it gets developed in the inaugural lecture: the contradiction between the two fundamental trends of philology (aesthetic classicism and historical criticism) and the paralyzing consequences for the practising of it if this contradiction is taken seriously. Furthermore, the Sophist makes it possible to point out an aspect relating to how Nietzsche, in his lecture, tries to overcome the paralyzing effect of the contradiction found in philology, namely through an inversion of Socratic-Platonic logic, according to which a contradiction cannot arise in a concept and has to be purged so as to clear the pathway towards obtaining true knowledge. Instead of adhering to this purging approach, he accepts the contradiction that, at the time, characterized philology. The result of his position is a completely different way of understanding the nature of concepts and truth.
Rol del docente tutor desde el Paradigma Humanista en el programa de profesionalización
Authors: Uyaguari Fernández Julio
Published: September 2024

Tener conocimiento cuál es el rol de un docente tutor en este siglo de la globalización, donde las cosas evolucionan de manera acelerada y todo es más competitivo, posibilita tener herramientas básicas para el actuar docente, que permita la transformación de la sociedad y el Buen Vivir.   Por ello, en esta investigación se analiza una Guía de intervención didáctica desde el paradigma humanista que permita al docente tutor cumplir con su rol de manera efectiva. Este se desarrolló con los estudiantes del programa de profesionalización de la Universidad Nacional de Educación. Se consideró el enfoque cualitativo, tipo descriptivo, el paradigma socio crítico y, la investigación-acción. Los principales resultados evidencian que la guía favorece a que el tutor cumpla satisfactoriamente su rol; además, permite que se trabaje a partir de necesidades de quienes se están formando.  Se concluye que la guía puede ser una herramienta de gran utilidad para las instituciones de educación superior y para educación básica.