bluuebunny/crossref_metadata_2025 huggingface dataset:
Overview of the Hepatitis B Epidemiology and Vaccination among Healthcare Workers
Authors: Alissa Sultan , Al Dawsari Saad , Aldarbi Nahar , Alrtaiq Abdulrahman , Arishi Abdullah , Aldamaeen Shabib , Alnufaie Sultan , Alyami Shaheen
Published: February 2024

Introduction: Healthcare workers (HCWs) who are at high risk for HBV infection, have been recommended to receive the HB vaccine for over 20 years. This review aimed to highlight the enablers and obstacles facing the universal coverage of hepatitis B epidemiology and vaccination among healthcare workers. Methods: A search was conducted using the following terms related to hepatitis B, vaccination, and healthcare workers in Africa: hepatitis B, hepatitis B virus, vaccination, immunization, healthcare workers, health workers, and health personnel. This review included cross-sectional, case-control, and cohort studies. Studies in English or French from any location were selected. A search was conducted for articles published from 1970 to 2022 in PubMed and the Excerpta Medica Database (Embase) using search terms related to hepatitis B and healthcare workers. Results: This study analyzed 25 cross-sectional studies on healthcare workers (HCWs) in African countries to determine the prevalence of hepatitis B vaccination. The majority of the studies were conducted in hospitals and included HCWs from West and East Africa. After assessing the quality of the studies, 5 (14.3%) were found to be of high quality, 17 (77.1%) were of moderate quality, and 3 (8.6%) were of low quality. The proportion of HCWs who were fully vaccinated against hepatitis B varied widely, ranging from 0.8% in Rwanda to 72.0% in Libya. The overall pooled full vaccination coverage among HCWs in Africa was 24.7%. Subgroup analyses showed significant variation in vaccination coverage among HCWs in different regions of Africa and Asia, with the highest coverage in North Africa and the lowest in Central and East Africa. Conclusions: Healthcare workers (HCWs) are at higher risk of infection with Hepatitis B virus (HBV) compared to individuals who do not work in hospitals, with frequencies of infection up to 4 times higher. HBV can be transmitted between patients and HCWs, as well as between HCWs and their relatives, contributing to the ongoing chain of transmission.
Investigating the Impact of Perceived Value and Customer Satisfaction on Repurchase Intentions Among Female E-Commerce Customers
Authors: Oktaviani Rizki
Published: February 2024

This study investigates the impact of perceived value and customer satisfaction on repurchase intentions, focusing specifically on Shopee's customer base. Employing a quantitative approach with a descriptive methodology, primary data was collected through online questionnaires distributed to female Shopee customers. A total of 100 questionnaires were gathered using purposive sampling, targeting females with previous Shopee purchases. Data analysis utilized SPSS and included validity and reliability testing, coefficient of determination, hypothesis testing, as well as partial and simultaneous testing. Additionally, multiple linear regression analysis was conducted. Results indicate a significant positive influence of perceived value and customer satisfaction on repurchase intentions. Recommendations for Shopee include prioritizing aspects such as shopping convenience, pricing, product quality, and order processing time to enhance perceived value and encourage repurchase intention.
Implementación metodológica de aprendizaje basado en simulación aplicado al factor de riesgo físico para ruido Instituto Superior Tecnológico Tsa´chila.
Authors: Pardo Godoy Paola Alejandrina , Moreira Pardo Ibeth Estefanía , Anchaluisa Parra Luis Marcelo , Núñez Naranjo Luis Paúl
Published: February 2024

El presente trabajo se realiza en el Instituto Superior Tecnológico Tsa´chila “Santo Domingo de los Tsa´chila” del cantón Santo Domingo, en la investigación se detecta que el principal problema en el aprendizaje es la detección y prevención del riesgo físicoRuido en el nivel educativo, es la falta de interés y motivación por parte de los estudiantes. En cuanto a la metodología se utiliza el enfoque de carácter cualitativa, que incluyó un diagnóstico situacional de tipo transversal. Por su diseño, el tipo de investigación es no experimental.Los elementos de investigación-acción. La población objeto de estudio abarca 30 estudiantes del segundo semestre en tecnología Superior en Seguridad y Prevención de Riesgos Laborales. Cuyo punto de partida lo constituye la evaluación formativa, empleando la encuesta para obtener datos; que será evaluado a los estudiantes una vez este incorporado el software del area virtual con el análisis de la información se podrá conocer las limitaciones de los estudiantes para incorporarestrategias metodológicas dentro y fuera del salón de clases, como resultado se conocen deficiencias en la motivación de los estudiantes y en el desarrollo de capacidades para la aprehensión de los objetivos básicos de aprendizaje. posterior se manejará la información de manera muy cautelosa, que se pueda notar de manera preliminar que un 95% de los estudiantes les sea fácil el uso de la plataforma virtual y un 5% no les sea fácil aprender a usarla. A partir de lo anterior se concluyó que era indispensable la elaboración de una estrategia metodológica para orientar el aprendizaje de los Riesgos Físicos como el Ruido. Se identificaron las variables y luego se categorizaron las mismas dentro del marco teórico; la metodología que se utilizará, está basada en la recolección directa de la información mediante la encuesta.
SUSTAINABLE AVIATION FUELS
Authors: ESARTE RELANZON CLAUDIA , GARCIA DE LAS HERAS ALFONSO , CARDENAS ALMENA DOLORES
Published: February 2024

The commercial aviation sector emitted 915 million tonnes of CO2 in 2019, 2% of human activity emissions and 12% of transport CO2 emissions. The sector is thus committed to mitigating its impact on climate change.
NEW EMPIRICALLY ADJUSTED HEURISTICS FOR SOLVING THE MULTI-MANNED ASSEMBLY LINE BALANCING PROBLEM WITH DEPENDENT TASK TIMES
Authors: Andreu Casas Enric , GARCIA VILLORIA ALBERTO , PASTOR MORENO RAFAEL
Published: February 2024

Multi-operator assembly lines are used in manufacturing industries that process a high volume of large parts, such as the automotive industry. An assembly line consists of a sequence of stations through which parts flow.
USE OF PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELLING TO IDENTIFY CRITICAL SUCCESS FACTORS IN 6 SIGMA IMPLEMENTATION
Authors: GARCÍA MARTÍNEZ RAFAEL , ALVAREZ ARGUELLES MARIELA , POBLANO OJINAGA EDUARDO RAFAEL , TORRES ARGUELLES VIANEY , NORIEGA MORALES SALVADOR
Published: February 2024

The Six Sigma Methodology (SSM) is a useful tool for the improvement of the quality of the companies, this methodology is constituted by a set of methods of: statistical analysis, collection and analysis of data from its suppliers, customers, and production of the company; analysis of production costs, and, in addition, it is considered as a systematic methodology for the design of new products.
IMPROVING THE EVALUATION AND PREDICTION OF PREVENTION AND TREATMENT EFFICIENCY DURING PUBLIC HEALTH EMERGENCIES BY USING THE SBM-BPNN ALGORITHM
Authors: BAI HUA , Zhang Chaojie
Published: February 2024

Crisis response is the key to reducing the impact and damage of public health emergencies. Previous studies only focused on specific measures for emergency response, but the effectiveness of these measures has seldom been discussed. How about the effective of the crisis response on public health emergencies? What will happen to the effectiveness of crisis response after the transformation of public health emergency measures? To address these questions, a novel research framework was constructed by combining slacks-based measure (SBM) and back propagation neural network (BPNN) algorithms. At Stage I, an efficiency evaluation was conducted on SBM with undesirable outputs to evaluate the prevention and treatment efficiency during public health emergencies, and stochastic frontier analysis was performed to mitigate the influence of environmental factors and statistical noise. At Stage II, the adjusted efficiency was predicted with the BPNN model. The decision-making units were effectively improved by incorporating slack variables, thus enabling the prediction and optimization of optimal cases given the epidemic resources. An empirical analysis of the response of 43 G20 member countries to the COVID-19 pandemic showed that the novel framework could evaluate prevention and treatment efficiency across regions and predict the efficiency and optimal case outputs following shifts in epidemic preventive measures. After evaluation, the mean squared error of the BPNN efficiency prediction model was only 0.0014, whereas that of the BPNN optimal output prediction model was 0.126. Therefore, this novel framework is suitable for evaluating and predicting the effectiveness of crisis response on public health emergencies, which provides necessary assistance for crisis decision-making by the government and emergency management organizations.,
Keywords: Public health emergencies, COVID-19 pandemic, Crisis response efficiency, Evaluation, Prediction.
DÉFICIT DE ARMAZENAGEM DE GRÃOS NO BRASIL
Authors: Lurdes Oliveira da Silva Naiele , Gonçalves Aguiar Aysha , Rebouças Pereira Alana , Lima Evangelista Camilla Lima Evangelista , Teliz de Lira Giovana , Otavio Cabral Neto
Published: February 2024

No ranking dos países que mais produz grãos, o Brasil está entre os cinco maiores produtores de alimentos no mundo e vem superando o índice de produção a cada safra, aliando as novas tecnologias às atividades agrícolas e desempenhando um papel crucial para a economia. Sendo destaque na produção de grãos de arroz, feijão, trigo, algodão, soja e milho, com realce considerável nos últimos dois. Atentando para o alto retorno por trás dos impressionantes números de colheitas recordes e de exportações consideráveis, há um desafio crítico que afeta a estabilidade e o crescimento sustentável dessa indústria: o déficit de armazenagem de grãos. Esse problema vai muito além da logística; ele impacta diretamente a segurança alimentar, a economia e a competitividade do país nos mercados globais. A falta de espaços adequados para estocar grãos de forma segura e eficiente tem impactos profundos em toda a cadeia produtiva, desde os agricultores que lidam com perdas pós-colheita até às exportações que enfrentam desafios administrativos. Apesar de todas as estratégias que se sucedem, a capacidade estática de armazenagem não tem acompanhado o crescimento da produção brasileira, o alto desperdício de grãos e má distribuição dos armazéns colabora para perdas significativas.
Effect of Profitability, and Leverage on Tax Avoidance In Manufacturing Companies Listed On The Stock Exchange In 2018 - 2020
Authors: Nurrobani Mohamad Rizqi , Gangodawilage Damith
Published: February 2024

Tax is one of the largest revenues in the APBN, but when compared to the realization with the target of tax revenue, it is still not appropriate. In this thesis, the authors indicate that this occurs because there is resistance by taxpayers in the form of tax avoidance. This study aims to determine the influence of Profitability and Leverage on Tax Avoidance in manufacturing companies listed on the Indonesia Stock Exchange in 2018 – 2020. The data used in this thesis is secondary data, namely financial reports obtained from the official website of the Indonesia Stock Exchange (IDX). www.idx.com). Sampling by purposive sampling obtained a sample of 10 companies with research time during 2018 - 2020. The method of analysis used was the regression test method and used SPSS version 24 for data processing. The results of this study indicate that profitability partially has a significant positive effect on tax avoidance, leverage partially has a significant positive effect on tax avoidance. Profitability and leverage simultaneously have an influence on tax avoidance.
Implementation of Income Tax Policy on the Transfer of Ownership Rights to Land and/or Buildings in the Subsidized Housing Program in Bekasi Regency (Case Study of PT. Tata Bangun Sarana in 2020)
Authors: Marnani  , Ahmed Abdussalam Ali
Published: February 2024

This study is motivated by the implementation of the Income Tax Policy on the transfer of ownership rights to Land and/or Buildings in the Subsidized housing Program. The government enforces a subsidized housing program with an income tax rate of only 1% and an exemption from value-added tax (VAT) of 0%. PT. Tata Bangun Sarana is one of the developers of subsidized housing in Bekasi Regency. The purpose of this study was to analyze the implementation carried out by PT. Tata Bangun Sarana on PP Number 34 of 2016 in the payment of the Income Tax Policy on the transfer of ownership rights to Land and/or Buildings as well as adjustment efforts due to the enactment of the regulation. This study uses two data sources, the results of interviews and documentation of PT. Tata Bangun Sarana which were analyzed using qualitative methods. PT. Tata Bangun Sarana has implemented PP No. 34 of 2016 during 2020. However, in June, July, and August, PT. Tata Bangun Sarana still imposed subsidized housing selling prices in accordance with PUPR Ministerial Decree No. 242/KPTS/M/2019 for the Bekasi regency area, which was Rp. 158,000,000 which should have used PUPR Ministerial Decree Number 535 of 2020, which was Rp. 168,000,000. PT. Tata Bangun Sarana is recommended to improve management in policy implementation to make it better, in the future to better anticipate interrelated regulations and policies so that there will be no tax underpayments in the future.
Analysis of the Implementation of Hotel Tax Collection on Tour Boats in West Manggarai Regency, East Nusa Tenggara Province Year 2019-2022
Authors: Santoso Teguh , Nahut Natalia , Rahmawati Aninda , Milleano Dani
Published: February 2024

Tourist who travel to tourist destinations using tourist vessels and utilize accommodation services on board generate transactions that generate revenue. However, the collection of hotel tax on tourist vessels in West Manggarai Regency has not met the target set by the local government. This phenomenon indicates a low level of taxpayer compliance. Therefore, it is essential to implement the Regent Regulation of West Manggarai Regency No. 58 of 2017 regarding the Procedures for Hotel Tax Collection on Tourist Vessels. The objective of this research is to analyze the implementation of the Regent Regulation on the Procedures for Hotel Tax Collection on Tourist Vessels and identify the obstacles faced and efforts made by the Regional Financial Management Agency to overcome these challenges. The research methodology employed in this study is qualitative with a descriptive type. The findings reveal that the implementation process of the Regent Regulation on the Procedures for Hotel Tax Collection on Tourist Vessels has not been executed effectively and doues not comply with the applicable rules due to a lack of education and information dissemination, inadequate human resources capabilities, low implementor supervision, insufficient personnel, and suboptimal inter-organizational communication. Therefore, there is a need to enhance activities related to socialization, education, supervision, and human resources training.
Implementation of Blue Ocean Strategy: Review of Previous Cases
Authors: Hokianto Hugo Fostin
Published: February 2024

Blue Ocean Strategy is considered to be an unique strategy to be used by business owners, as its was first introduced as a way to “create profit by finding new market and less focusing on competing”. However, as much as the strategy have been introduced and used, how does it perform in practice? What is Blue Ocean Strategy main points, and what are the theoretical research thinks about the strategy? These has yet to be unanswered, hence using qualitative research with literature review method to conduct research, the discussion points out what makes blue ocean distinctive as a strategy, the theoretical perspectives from many authors about blue ocean strategy, and the example cases in implementing Blue Ocean Strategy.
The Influence of Culinary Skills on Work Motivation and Its Influence on Entrepreneurial Intentions for Students in the Culinary Arts Study Program
Authors: KP. Dalem A.A. Gede Putra , Agung Anak Agung Gede , Yudana Made , Dantes Kadek Rihendra
Published: February 2024

The research aims to explain the impact of culinary skills on the motivation for entrepreneurial activities and desires of culinary students. This quantitative research method involved 114 students. An illustration basic on Morgan was obtained which was corrected by Warwich and Lininger, resulting in 101 students. Testing assumptions using Structural Equation Modeling with Partial Least Squares. The results are; (1) culinary skills have a direct and important influence on the desire for entrepreneurship as shown in T-statistics 27, 224 and sig 0.000; (2) culinary skills have a direct and important influence on entrepreneurial desires in T-Statistics 11, 529 and sig 0,000; ( 3) Encouragement of activity has a direct and important influence on the desire for entrepreneurship with T-Statistics 5, 004 and sig 0, 000; ( 4) culinary skills influence indirectly on the desire for entrepreneurship through encouragement of activity on T - Statistics 5.410 and sig 0.000. This research shows that culinary skills have a huge impact on entrepreneurial desires, whereas activity encouragement is a good bridge in mediating the impact of culinary skills on entrepreneurial desires. It is recommended that to increase the desire for entrepreneurship in culinary students, they need to practice culinary skills and encourage activities.
IMPLEMENTASI MODEL PEMURIDAN DAN MOBILITAS ANTAR GENERASI TERHADAP PERUBAHAN KARAKTER DAN INTERAKSI SOSIAL PADA ANAK-ANAK GENERASI Z
Authors: Lin Steven , Agus setiawan Eko , Djaafar Andre , Pasaribu George Rudi Hartono
Published: February 2024

The aim of this research is to determine the implementation of the discipleship model and intergenerational mobility on changes in character and social interactions among generation Z children at GBI Tabgha Batam. This research is research in the form of field research or field research is a type of research. This research is a qualitative descriptive research. The data in this research comes from primary and secondary data. Data collection methods use observation, interviews and documentation. Interviews were conducted with the community at the PkM location. The research results obtained in the implementation of discipleship and intergenerational mobility on changes in character and social interaction at GBI Tabgha Batam enable Gen Z children to have better character and also in their social interactions, building relationships through intergenerational discipleship is one of the models. ways that can be implemented so that relationships become more active and will influence character changes and better social interactions. This success is determined by other interesting activities that can support increased relations and mobility between generations. The inhibiting factor in efforts to maximize this is the previous generation's lack of understanding of this matter, the school environment and the home environment of generation Z
CLASSIFYING FAKE NEWS ARTICLES USING NATURAL LANGUAGE PROCESSING TO IDENTIFY IN-ARTICLE ATTRIBUTION AS A SUPERVISED LEARNING ESTIMATOR
Authors: Kumar B V Pranay , Pramod Gayam , Mohan L , Reddy A Venkata Ramana
Published: February 2024

There is a growing need for computational tools that can provide insights on the dependability of online content due to the prevalence of false information in widely-accessible media channels including social media feeds, news blogs, and online newspapers. In this study, we explore methods for detecting fabricated news stories in real time. There are two sides to our help. We begin by presenting two new datasets for the fake news detection problem, which together span seven distinct news domains. We give many exploratory analyses aimed at discerning linguistic differences between fake and genuine news information, and we discuss the collecting, annotation, and validation procedure in great detail. We then use the results of these experiments to develop reliable false news detectors. Furthermore, we offer evaluations contrasting machine and human detection of bogus news.The news that circulates through social media networks is a particularly valuable source of information today. It's easy to see why people are so drawn to internet-based news: there's very little effort required, the information is readily available, and it spreads quickly. Since Twitter is one of the most widely used real-time news platforms, it also ranks highly when it comes to the dissemination of news. In the past, gossip has been shown to do significant harm by disseminating false information.
CEFTRIAXONE BLOCKS THE POLYMERIZATION OF Α-SYNUCLEIN AND EXERTS NEUROPROTECTIVE EFFECTS IN VITRO
Authors: Vidhya G. , Anitha J. , Yadav A Santhosh
Published: February 2024

The β-lactam antibiotic ceftriaxone was suggested as a therapeutic agent in several neurodegenerative disorders, either for its ability to counteract glutamate-mediated toxicity, as in cerebral ischemia, or for its ability to enhance the degradation of misfolded proteins, as in Alexander’s disease. Recently, the efficacy of ceftriaxone in neuroprotection of dopaminergic neurons in a rat model of Parkinson’s disease was documented. However, which characteristics of ceftriaxone mediate its therapeutic effects remains unclear. Since, at the molecular level, neuronal α-synuclein inclusions and pathological α-synuclein transmission play a leading role in initiation of Parkinson-like neurodegeneration, we thought of investigating, by circular dichroism spectroscopy, the capability of ceftriaxone to interact with α- synuclein. We found that ceftriaxone binds with good affinity to α-synuclein and blocks its in vitro polymerization. Considering this finding, we also documented that ceftriaxone exerts neuroprotective action in an in vitro model of Parkinson’s disease. Our data, in addition to the findings on neuroprotective activity of ceftriaxone on Parkinson-like neurodegeneration in vivo, indicates ceftriaxone as a potential agent in treatment of Parkinson’s disease.
AUTO TURN OFF FOR WATER PUMP WITH FOUR DIFFERENT TIME SLOTS FOR POWER SAVING APPLICATIONS
Authors: Prabhakar P. , Supraja T. , Renuka E. , Ujwala M.
Published: February 2024

Nowadays the modern technologies are helpful in all aspects of our life. Due to this lots of development done in the field of agricultural. The solar energy converted into electrical energy by photo voltaic cells. This energy stored in batteries during the day time to run the water pump for agriculture and distribute the water to the farm. The project is designed to operate the water pump at four different time slots. It prevents the difficulties of switching the pump on/ off manually. Real time clock interfaced to Arduino then Arduino give command to the corresponding relay to start the load and another command to switch off the load is programmed by the user. A matrix keypad helps to entering different time slots. Switching the pump ON/OFF manually these difficulties can be overcome using this project. There be an inbuilt real time clock (RTC)which keeps tracking the time and thus switches ON/OFF the pump accordingly.In this project, solar panel used to charge the battery a lcd display is interfaced to the to display time. We are setting the time slots from app through wifi communication.
SMART IRRIGATION SYSTEM USING RASPBERRY PI
Authors: Krishna, M. , Vinitha A. , Ravinder S. , Akhilesh G.
Published: February 2024

In India most of people is doing work related agriculture directly or indirectly. An economy of India is mostly affected by agriculture related activities. To check water level of well, farmer have to go to farm and start water pump. Sometimes he has to go in night. If fire is spread in farm how farmer can know? If he know about it, he cannot do anything about it because many plants burned .In this project, we will make one smart irrigation system which will notify farmer on his registered mobile device and email address, if the soil is dry and it need watering, using soil moisture sensor and also notify by glowing bulb and start motor which is attached with main controller. System is also measuring the water level of well and notify the farmer two times a day. For fire detection we used flame detection sensor and if fire is there in farm system will notify the farmer and also buzzer will blow. The aim of this project is to develop a smart irrigation monitoring system using raspberry pi. Focus area will be parameters such as temperature and soil moisture. This system will be a substitute to traditional farming method. We will develop such a system that will help a farmer to know his field status in his home or he may be residing in any part of the world. It proposes an automatic irrigation system for the agricultural lands. Currently the automation is one of the important role in the human life. It not only provide comfort but also reduce energy, efficiency and time saving. Now the industries use automation and control machine which is high in cost and not suitable for using in a farm field. So here it also to design a smart irrigation technology in low cost which is usable by Indian farmers.Raspberry pi is the main heart of the whole system. An automated irrigation system was developed to optimize water use for agricultural crops. Automation allows us to control appliances automatically. The objectives of this project were to control the water motor automatically, monitor the plant growth using webcam and we can also watch live streaming of farm on android mobiles by using wifi.
PRE-MILLING FLEXIBLE FIXTURE REVIEW AND OPTIMISATION
Authors: Veda Prakash Mr. Vodnala , Suresh Mr. S , Kumar Mr. Algot Kiran
Published: February 2024

Machining requires correct workpiece location and restriction. Fixtures secure the workpiece for reproducibility, uniformity, and accuracy. The Workpiece Fixture System (WFS) minimises workpiece elastic deformation to improve machining quality. Elastic deformation impacts workpiece shape and precision. The workpiece's elastic deformation prevented even the most exact machinery from tightening tolerances. Deformation prediction and optimisation require much study. Batch or large production WFSs involve workpiece and fixture setup for machining. Fixture layout design (FLD) involves strategically placing locators and clamps around a workpiece to optimise machining and reduce machining forces. The right FLD holds the workpiece against cutting forces, minimising elastic deformation. FLDs depend on proper locator and clamp placement. FLD optimisation in WFS is essential for high-quality, low-cost machining.
QR BASED ATTENDANCE SYSTEM
Authors: Gujarathi Yashaswini , Chaitanya Katakam Krishna , Bhramarautu Pallavi , Menta Mosheck
Published: February 2024

In higher education institutions, student participation in the classroom is directly related to their academic performance. However, the majority of student attendance registration is still conventionally done, which is tedious and time-consuming, especially for those courses that involve large numbers of students. Over the years, attendance management has been conducted manually at most of the universities. To overcome the manual attendance issues, we proposed and implemented a smart attendance system with the aim to encourage the potential use of the Quick Response (QR) code as a future attendance management system, to track and record student attendance in lectures and exercises for all relevant courses, as an aim of this paper.
EFFECTS OF LIFESTYLE FACTORS ON WEIGHT VARIATIONS AMONG ADOLESCENTS IN SOUTHERN CROSS RIVER STATE, NIGERIA
Authors: UDONWA, Rose Ekaete  , ENEYO, Violet Bassey  , IYAM, Mary Arikpo
Published: February 2024

This study investigated the impact of lifestyle factors on adolescent weight variations in Southern Cross River State, Nigeria, targeting students aged 10 to 22 from 37 secondary schools. The study employed a cross-sectional design and a multistage sampling technique. It included 481 participants, ensuring demographic representation. The methodology involved stratified sampling, systematic student selection, and data collection via questionnaires and personal interviews, focusing on dietary patterns, physical activity, and anthropometric measurements. Analysis using Epi-Info 2002 software revealed significant correlations between lifestyle factors and weight variations, highlighting differences in dietary habits and physical activity levels across genders and between urban and rural students. The findings underscore the need for tailored health education and lifestyle interventions, addressing the socio-cultural context of adolescent health in Southern Cross River State. This research contributes to understanding the determinants of adolescent obesity, emphasizing the development of targeted public health strategies and obesity prevention programs.
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THE EFFECT OF PROFITABILITY AND LEVERAGE ON THE TIMELINESS OF FINANCIAL REPORTING
Authors: Selvy Anggraini  , Afrizal Nilwan
Published: February 2024

Punctuality is an important trait that shows the ability of the organization to compile and present financial statements according to the grace period, because information in financial reporting that is in accordance with the deadline is more useful for stock investors when making investment decisions. The purpose of this study is to evaluate how profitability and leverage affect the timeliness of financial statements. In this study, profitability is assessed through return on assets (ROA) and leverage is analyzed using debt to equity ratio (DER). This type of study is a quantitative set that utilizes secondary information in the form of financial statements per year from the company obtained through the www.idx.co.id site. Participants in this study are property and real estate sub-sector business entities listed on the Indonesia Stock Exchange for the period 2020-2022. The respondents of this study were 69 organizations that met 4 respondent requirements using purposive sampling techniques. The test was carried out through the use of logistic regression analysis with SPSS software version 18. The partial presumptive test output shows that profitability and leverage have a significant positive impact on the timeliness of financial statements. The findings of the coefficient of determination test explain that the percentage of the influence of profitability and leverage for the timeliness of financial statements is 10.2% and the remaining 89.8% is impacted by other independent elements that have not been studied in this study
The Impact of Ownership Concentration on Corporate Financialization: The Mediating Effect of Financing Constraints
Authors: Wang Jun-yu
Published: February 2024

This article selects small and medium-sized listed companies (with stock codes starting with 002) as the research subjects, constructing a panel dataset spanning from 2017 to 2021, resulting in a total of 4324 observations. Through an extensive review and analysis of existing literature and relevant theories, it comprehensively explores the effects of equity concentration on corporate financialization and whether these effects differ in state-owned enterprises. Additionally, it investigates the moderating effects of financing constraints as a variable. After empirical analysis and robustness tests, the following conclusions are drawn: Equity concentration has a significantly negative impact on corporate financialization. Moreover, equity concentration exacerbates financing constraints, which, in turn, suppress corporate financialization. Furthermore, compared to state-owned enterprises, equity concentration has a more pronounced inhibitory effect on corporate financialization in non-state-owned enterprises. In the context of this study, state-owned enterprises in China are those in which ownership or control belongs to the state. The research on the impact of corporate financialization in this article can provide a theoretical basis for government and financial regulatory agencies to formulate financial policies in practical terms.
Propuesta de estrategia didáctica para el desarrollo de competencias matemáticas en estudiantes de la básica secundaria
Authors: Gómez Moreno Fabio
Published: February 2024

This article focuses on the presentation of the didactic strategy proposal with stages and actions for the development of mathematical competences in the students of the Colombian Secondary School. A diagnosis of the current state of these is made in the teaching-learning process of the Mathematics; the theoretical foundations that sustain the strategy are exposed, as well as the three stages of its structure: planning, instrumentation and evaluation; with their respective actions, concluding with the results of its application.
Sistema de gestión de los inventarios en la fábrica de Pastas Alimenticias Cienfuegos
Authors: Feitó Cespón Michael
Published: February 2024

The present investigation is carried out in the Cienfuegos factory of Pasta and its objective is the design of an Inventory Management System that responds appropriately to the needs and requirements of the clients. The calculated service levels showed that customers are not served on time, that there is an average delay of three days in delivery, and the average response time of 10 days. It is possible to design and test a Min Max inventory system, which responds adequately to the characteristics of the demand. It is linked both to the finished product and to the raw material and it is possible to reduce the delivery cycle to only the transportation time while achieving a reduction in inventory costs.
Points de vue de parents immigrants à l’égard d’un modèle de services d’accueil et de soutien à l’apprentissage du français hybride au Centre-du-Québec
Authors: de Oliveira Soares Roberta , Borri-Anadon Corina , Russo Kelly , Gonçalves Gustavo
Published: February 2024

Cette étude qualitative documente les points de vue de parents immigrants par rapport à l’implantation d’un modèle de services hybride de soutien à l’apprentissage du français en contexte régional québécois. Susceptibles d’éviter la marginalisation en classe d’accueil fermée et l’immersion en classe ordinaire sans soutien linguistique suffisant, les modèles hybrides sont encouragés par la recherche. La plupart des recherches sur l’implication scolaire des parents immigrants se concentrent sur les stratégies qu’ils déploient pour soutenir la réussite scolaire de leurs enfants; leurs points de vue sur les pratiques scolaires, notamment les modèles de service d’accueil et de soutien à l’apprentissage du français, étant peu documentées. À partir d’une analyse thématique de contenu d’entretiens semi-dirigés, nous abordons les points de vue de parents immigrants sur le processus d’intégration linguistique, scolaire et sociale de leur enfant, sur la relation établie avec l’école ainsi que sur les espaces de scolarisation fréquentés au sein d’un modèle hybride. Notre analyse témoigne de l’importance de considérer la dimension sociale du processus d’intégration, d’informer davantage les parents immigrants du modèle de services mis en oeuvre auprès de leurs enfants ainsi que de les impliquer réellement dans les prises de décisions.
Refleksi Lima Tahun JPS: Mendukung psikologi sosial yang relevan bagi permasalahan sosial dalam konteks Indonesia
Authors: Hudiyana Joevarian
Published: February 2024

Dalam perkembangannya selama lima tahun terakhir, Jurnal Psikologi Sosial (JPS) senantiasa terus mengusahakan menjadi wadah bagi peneliti psikologi sosial di Indonesia untuk memberikan perspektif, pendekatan, serta dasar em­piris bagi perkembangan ilmu psikologi sosial itu sendiri. Untuk itu, JPS perlu terus melakukan stimulasi bagi topik-topik relevan yang sesuai dengan gejala sosial terkini sambil menantang asumsi dalam literatur ilmiah psikologi yang selama ini sudah eksis. Ini dibuktikan dengan munculnya edisi-edisi khusus dalam beberapa tahun terakhir. Edisi khusus perkembangan metodologi dalam psikologi sosial yang terbit pada tahun 2020 silam menjadi bukti bahwa berbagai pendekatan psikologi sosial memang perlu dilakukan dalam penelitian di Indonesia.Dilanjutkan dengan kemunculan edisi Respon terhadap COVID-19 pada tahun 2021 sampai dengan 2022 silam. Ini merupakan usaha JPS agar kita mem­iliki perspektif dan dasar empiris yang dikemukakan para peneliti psikologi so­sial di Indonesia.
Vulnerable JavaScript functions detection using stacking of convolutional neural networks
Authors: Sheneamer Abdullah
Published: February 2024

System security for web-based applications is paramount, and for the avoidance of possible cyberattacks it is important to detect vulnerable JavaScript functions. Developers and security analysts have long relied upon static analysis to investigate vulnerabilities and faults within programs. Static analysis tools are used for analyzing a program’s source code and identifying sections of code that need to be further examined by a human analyst. This article suggests a new approach for identifying vulnerable code in JavaScript programs by using ensemble of convolutional neural networks (CNNs) models. These models use vulnerable information and code features to detect related vulnerable code. For identifying different vulnerabilities in JavaScript functions, an approach has been tested which involves the stacking of CNNs with misbalancing, random under sampler, and random over sampler. Our approach uses these CNNs to detect vulnerable code and improve upon current techniques’ limitations. Previous research has introduced several approaches to identify vulnerable code in JavaScript programs, but often have their own limitations such as low accuracy rates and high false-positive or false-negative results. Our approach addresses this by using the power of convolutional neural networks and is proven to be highly effective in the detection of vulnerable functions that could be used by cybercriminals. The stacked CNN approach has an approximately 98% accuracy, proving its robustness and usability in real-world scenarios. To evaluate its efficacy, the proposed method is trained using publicly available JavaScript blocks, and the results are assessed using various performance metrics. The research offers a valuable insight into better ways to protect web-based applications and systems from potential threats, leading to a safer online environment for all.
Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis
Authors: Asiri Abdullah A. , Shaf Ahmad , Ali Tariq , Pasha Muhammad Ahmad , Khan Aiza , Irfan Muhammad , Alqahtani Saeed , Alghamdi Ahmad , Alghamdi Ali H. , Alshamrani Abdullah Fahad A. , Alelyani Magbool , Alamri Sultan
Published: February 2024

The accurate detection of brain tumors through medical imaging is paramount for precise diagnoses and effective treatment strategies. In this study, we introduce an innovative and robust methodology that capitalizes on the transformative potential of the Swin Transformer architecture for meticulous brain tumor image classification. Our approach handles the classification of brain tumors across four distinct categories: glioma, meningioma, non-tumor, and pituitary, leveraging a dataset comprising 2,870 images. Employing the Swin Transformer architecture, our method intricately integrates a multifaceted pipeline encompassing sophisticated preprocessing, intricate feature extraction mechanisms, and a highly nuanced classification framework. Utilizing 21 matrices for performance evaluation across all four classes, these matrices provide a detailed insight into the model’s behavior throughout the learning process, furthermore showcasing a graphical representation of confusion matrix, training and validation loss and accuracy. The standout performance parameter, accuracy, stands at an impressive 97%. This achievement outperforms established models like CNN, DCNN, ViT, and their variants in brain tumor classification. Our methodology’s robustness and exceptional accuracy showcase its potential as a pioneering model in this domain, promising substantial advancements in accurate tumor identification and classification, thereby contributing significantly to the landscape of medical image analysis.
Transformation of the pectoral girdle in pennaraptorans: critical steps in the formation of the modern avian shoulder joint
Authors: Wu Qian , O’Connor Jingmai K. , Wang Shiying , Zhou Zhonghe
Published: February 2024

Important transformations of the pectoral girdle are related to the appearance of flight capabilities in the Dinosauria. Previous studies on this topic focused mainly on paravians yet recent data suggests flight evolved in dinosaurs several times, including at least once among non-avialan paravians. Thus, to fully explore the evolution of flight-related avian shoulder girdle characteristics, it is necessary to compare morphology more broadly. Here, we present information from pennaraptoran specimens preserving pectoral girdle elements, including all purportedly volant taxa, and extensively compare aspects of the shoulder joint. The results show that many pectoral girdle modifications appear during the evolution from basal pennaraptorans to paravians, including changes in the orientation of the coracoid body and the location of the articulation between the furcula and scapula. These modifications suggest a change in forelimb range of motion preceded the origin of flight in paravians. During the evolution of early avialans, additional flight adaptive transformations occur, such as the separation of the scapula and coracoid and reduction of the articular surface between these two bones, reduction in the angle between these two elements, and elongation of the coracoid. The diversity of coracoid morphologies and types of articulations joining the scapula-coracoid suggest that each early avialan lineage evolved these features in parallel as they independently evolved more refined flight capabilities. In early ornithothoracines, the orientation of the glenoid fossa and location of the acrocoracoid approaches the condition in extant birds, suggesting a greater range of motion in the flight stroke, which may represent the acquisition of improved powered flight capabilities, such as ground take-off. The formation of a new articulation between the coracoid and furcula in the Ornithuromorpha is the last step in the formation of an osseous triosseal canal, which may indicate the complete acquisition of the modern flight apparatus. These morphological transitions equipped birds with a greater range of motion, increased and more efficient muscular output and while at the same time transmitting the increased pressure being generated by ever more powerful flapping movements in such a way as to protect the organs. The driving factors and functional adaptations of many of these transitional morphologies are as yet unclear although ontogenetic transitions in forelimb function observed in extant birds provide an excellent framework through which we can explore the behavior of Mesozoic pennaraptorans.
A Cellular Potts Model of the interplay of synchronization and aggregation
Authors: Una Rose , Glimm Tilmann
Published: February 2024

We investigate the behavior of systems of cells with intracellular molecular oscillators (“clocks”) where cell-cell adhesion is mediated by differences in clock phase between neighbors. This is motivated by phenomena in developmental biology and in aggregative multicellularity of unicellular organisms. In such systems, aggregation co-occurs with clock synchronization. To account for the effects of spatially extended cells, we use the Cellular Potts Model (CPM), a lattice agent-based model. We find four distinct possible phases: global synchronization, local synchronization, incoherence, and anti-synchronization (checkerboard patterns). We characterize these phases via order parameters. In the case of global synchrony, the speed of synchronization depends on the adhesive effects of the clocks. Synchronization happens fastest when cells in opposite phases adhere the strongest (“opposites attract”). When cells of the same clock phase adhere the strongest (“like attracts like”), synchronization is slower. Surprisingly, the slowest synchronization happens in the diffusive mixing case, where cell-cell adhesion is independent of clock phase. We briefly discuss potential applications of the model, such as pattern formation in the auditory sensory epithelium.
Construction and validation of m6A-related diagnostic model for psoriasis
Authors: Liu Jing , Wang Youlin , Sheng Yu , Cai Limin , Wang Yongchen
Published: February 2024

Background

Psoriasis is a chronic immune-mediated inflammatory disease. N6-methyladenosine (m6A) is involved in numerous biological processes in both normal and diseased states. Herein, we aimed to explore the potential role of m6A regulators in the diagnosis of psoriasis and predict molecular mechanisms by which m6A regulators impact psoriasis.

Methods

GSE30999 (170 human skin tissue samples) and GSE13355 (180 human skin tissue samples) were downloaded as the training analysis dataset and validation dataset respectively. M6A-related genes were obtained from the literature and their expression levels in GSE30999 samples were measured to identify M6A-related DEGs between psoriasis lesions (LS) and non-lesional lesions (NL). We identified m6A-related DEGs using differential expression analysis and assessed their interactions through correlation analysis and network construction. A logistic regression analysis followed by LASSO optimization was employed to select m6A-related DEGs for the construction of a diagnostic model. The performance of the model was validated using support vector machine (SVM) methodology with sigmoid kernel function and extensive cross-validation. Additionally, the correlation between m6A-related DEGs and immune cell infiltration was analyzed, as well as the association of these DEGs with psoriasis subtypes. Functional analysis of the m6A-related DEGs included the construction of regulatory networks involving miRNAs, transcription factors (TFs), and small-molecule drugs. The m6A modification patterns were also explored by examining the gene expression differences between psoriasis subtypes and their enriched biological pathways. Finally, the expression of significant m6A regulators involved in the diagnostic model was examined by RT-qPCR.

Results

In this study, ten optimal m6A-related DEGs were identified, including FTO, IGF2BP2, METTL3, YTHDC1, ZC3H13, HNRNPC, IGF2BP3, LRPPRC, YTHDC2, and HNRNPA2B1. A diagnostic model based on these m6A-related DEGs was constructed, demonstrating high diagnostic accuracy with an area under the curve (AUC) in GSE30999 and GSE13355 of 0.974 and 0.730, respectively. Meanwhile, the expression level of m6A regulators verified by RT-qPCR was consistent with the results in GSE30999. The infiltration of activated mast cells and NK cells was significantly associated with all ten m6A-related DEGs in psoriasis. Among them, YTHDC1, HNRNPC, and FTO were targeted by most miRNAs and were regulated by nine related TFs. Therefore, patients may benefit from dorsomorphin and cyclosporine therapy. Between the two subgroups, 1,592 DEGs were identified, including LRPPRC and METTL3. These DEGs were predicted to be involved in neutrophil activation, cytokine-cytokine receptor interactions, and chemokine signaling pathways.

Conclusions

A diagnostic model based on ten m6A-related DEGs in patients with psoriasis was constructed, which may provide early diagnostic biomarkers and therapeutic targets for psoriasis.