bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring the natural frequencies of knitted materials for protection
against vibration
Authors: BLAGA MIRELA , SEGHEDIN NECULAI EUGEN , GROSU CRISTINA
Published: March 2022

In this study, the use of knitted structures as potential vibration isolators or parts of protective equipment is proposed.
Four types of knitted structures were made from different yarns by varying the stitch depth. By combining these
variables, a series of 48 patterns were tested for vibration isolation using the free vibration method to measure their
natural frequencies. Knowledge of the natural frequencies of textiles is necessary when designing a material to protect
it from vibration, in order to avoid the phenomenon of resonance that occurs when the excitation frequency of an external
force overlaps with the natural frequency of the system. From the recorded values of the frequencies, it is possible to
infer some properties of the knitted materials. The value of the natural frequency of any material gives information about
the stiffness of the material. The higher the natural frequency, the more stiffness can be expected. The shape of the
natural frequency curve is relevant to the material’s ability to dampen vibrations. The smoother the shape, the higher
the damping capacity of the material. The study shows that the yarn type and the structural parameters of the fabric
affect the vibration behaviour. The tightness of the fabric is one of the most important variables affecting the level of
natural frequencies of the material. This research is expected to support the development of knitted fabrics as good
vibration isolators for humans by also showing their comfort level compared to alternative materials used so far.
Effect of washing and temperature on electrical properties of conductive
yarns and woven fabrics
Authors: ULLAH SULTAN , IFTIKHAR AHMED HASSAN , ALI HAMDANI SYED TALHA
Published: March 2022

In our daily life, the temperature and washing parameters go unnoticed on the electrical properties of conductive yarns
and woven fabrics. However, in many cases, these parameters play a crucial role in the use of conductive materials
since they modify their electrical properties. It is critical to predict what this behaviour will be, as these washing and, in
our temperature, parameters can improve or even deteriorate desirable properties in the materials, especially of sensors
embedded textiles. The weight of the conductive samples was decreased up to 11% for silver-coated and 7.75% for
gold-coated yarn after washing. The results suggest that the electrical resistance of yarns increases 1.6%, 8%, and 8.7%
for silver-coated while 13%, 20%, and 21% increase in resistance value for gold-coated yarn after 1st, 2nd, and 3rd wash,
respectively. The silver-coated yarn has better electrical conductance, and ageing does not affect the electrical
resistance of both silver-coated yarns and fabrics till two washes and a slight change occurred after 3rd wash. The woven
structure’s mass per unit area decreases up to 7.69% and 3.7% for silver-coated and gold-coated samples, respectively.
Woven samples conductivity for silver-coated structures decreased 95% and 98% for gold-coated structures
Development and study of textile-based hydrogel wound dressing material
Authors: RODRIGUES MICHAEL , THILAGAVATI GOVINDHARAJAN
Published: March 2022

In this article, the developed textile-based hydrogel dressing is seen to be effective in terms of its exudates management
capacity, strength, elongation and water vapours permeability. The usage of active antimicrobial and antibiofilm agent
i.e., Usnic acid, has given it a broad-spectrum antimicrobial activity and antibiofilm property. The combination of these
properties makes this dressing a better choice for the management of wounds especially chronic wounds that are
infected with biofilm. The design of the experiment (BBD) used in this study is able to point at the optimal combination
of the materials for the construction of such hydrogel dressings and understand the contribution of each factor used in
the study.
Empleo de un escudo protector para la mitigación de la deriva en pulverizaciones agrícolas
Authors:   , Fiorini Correa Julio Gastón
Published: March 2022

La pulverización hidráulica fue adoptada como el sistema más empleado en la distribución de los plaguicidas, las gotas generadas durante la atomización permiten colocar en íntimo contacto a la plaga con el fitoterápico. Dicha atomización es una etapa crítica y constituye un fenómeno físico complejo, en donde la población de gotas generada posee diferentes tamaños haciendo a las de menores diámetros susceptibles a la deriva. Ésta se puede definir como el corrimiento o desvío del agroquímico a un sitio diferente del elegido como objetivo de control en el transcurso de la aplicación o posterior a la misma. Existen numerosos antecedentes respecto de técnicas empleadas para su mitigación. Los llamados escudos protectores (EP) antideriva son una de ellas. El empleo de los EP colocados sobre la barra de pulverización es una técnica que reduce la deriva ya que funciona como barrera mecánica contra el viento, generando una significativa reducción de la velocidad del aire en la zona protegida y modificando la dirección del flujo de aire, pasando del sentido horizontal a uno vertical incrementando la velocidad de las gotas y disminuyendo el tiempo que tardan éstas en recorrer la distancia hasta el objetivo, minimizando los riesgos de deriva. El objetivo del trabajo es cuantificar el efecto sobre la deriva de un modelo de EP con cinco boquillas, cuatro de ellas de abanico plano de 110° y 0,790 l.min-1 con diferentes tamaños de gotas entre sí y una boquilla de cono hueco de 80° y 0,790 l.min-1. Para ello se colocó el EP dentro del túnel de viento y se acondicionó una sección de botalón en él para ubicar las diferentes boquillas. La altura de pulverización fue de 0,50 m y la presión de trabajo de 300 kPa. El EP y las boquillas se colocaron en posición perpendicular respecto de la dirección del viento. El volumen de líquido derivado se calculó por diferencia entre el caudal entregado por la boquilla y el recogido en el banco de ensayos para cada condición de trabajo. Se emplearon dos velocidades de viento, 3,56 m.s-1 (V I) y 4,8 m.s-1 (V II). El diseño experimental empleado fue en bloques aleatorizados (DBA) y el método estadístico empleado fue un ANOVA con un nivel de significación del 5%. Los resultados se expresan en porcentaje de reducción de deriva, el cual surge de la diferencia de los valores de deriva obtenidos sin el EP y con éste. Para la V I fueron, 37,99% para la TTI110-02 con la mayor reducción, seguida por la AI110-02 (37,90%), la TXR80-02 (23,05%), la TT110-02 (21,04%), siendo la XR110-02 la de menor reducción con un 13,61%. Para la V II la boquilla con mayor reducción fue la AI110-02 (45,75%) luego la TTI110-02 (36,13%), la TXR80-02 (27,96%), la XR110-02 (26,95%) y la TT110-02 que obtuvo un 26,32%. Se observó que, al emplear el EP para las dos velocidades de viento estudiadas, los porcentajes de volúmenes derivados se redujeron en todos los casos. Cuando no fue utilizado, se incrementaron.
Assessing the Integration of United Nations Sustainable Development Goals in a University General Education Curriculum
Authors: Lei Chi Un , Cham Chun Yin , Liang Xinyi , Qian Xue , Hu Xiaodong
Published: March 2022

Higher education plays an essential role in achieving United Nations Sustainable Development Goals (SDGs). However, there are only scattered studies on monitoring how universities holistically promote SDGs through their curriculum. The main purpose of this study is to investigate the connection of existing general education courses in a university to SDG education. In particular, we want to know how can general education courses be classified according to SDGs. In this poster paper, we use machine learning approaches to tag the 167 general education courses in a university with SDGs, then analyze the results based on visualizations. Our training dataset comes from the OSDG public community dataset which had been verified by the community. Meanwhile, the learning outcomes and descriptions of general education courses had been used for the classification. We use the multinomial logistic regression algorithm as the algorithm and for the classification. Examples of calculated SDG probability of courses and the overall curriculum were used for illustrating the functions of the proposed approach.
RISCOS À SAÚDE E ADOECIMENTO DO AGRICULTOR DECORRENTES DAS ATIVIDADES RURAIS: REVISÃO INTEGRATIVA DE LITERATURA
Authors: Vieira Coelho Ferreira Luana , Dallacort Rivanildo , Fenner William , Nonato Cunha de França Raimundo , Carolina Macri Gaspar Vendramini Ana
Published: March 2022

Objetivou-se analisar as evidências científicas sobre os riscos à saúde e doenças que acometem os agricultores decorrentes das atividades rurais. Trata-se de uma revisão integrativa de literatura realizada na base de dados eletrônicas SciELO e na Biblioteca Virtual em Saúde (BVS) com os seguintes descritores: agricultores, trabalhadores rurais, população rural, exposição ocupacional, exposição ambiental, riscos ocupacionais, doenças dos trabalhadores agrícolas, doenças profissionais e estresse psicológico. Foram incluídos textos completos, do período entre 2010-2020, nos idiomas inglês, português e espanhol. A revisão foi realizada em seis etapas. Foram encontrados 104 artigos, após leitura do título, resumo e palavras-chave 89 artigos foram excluídos, resultando em uma amostra de 15 artigos para análise final. Os resultados foram descritos em cinco categorias temáticas, sendo: riscos à saúde decorrentes do uso e exposição aos agrotóxicos, implicações à saúde decorrentes da fumicultura, implicações na saúde mental decorrentes do trabalho rural, riscos à saúde decorrentes da atividade extrativista e adoecimento do agricultor decorrentes a diferentes exposições no trabalho rural. Os agricultores estão expostos à vários riscos à saúde, decorrentes de diferentes atividades agrícolas, entre eles, os riscos físicos, químicos, biológicos, ergonômicos, organizacionais e à saúde mental. Muitos riscos são minimizados com a utilização de Equipamentos de Proteção Individual, no entanto, é necessário maior sensibilização sobre a importância do uso correto desses equipamentos na prevenção dos agravos.

Palavras-Chave: agricultores; trabalhadores rurais; exposição ocupacional; exposição ambiental; doenças profissionais.
Formación educativa en Educación Física en el contexto de la virtualidad tecnológica actual
Authors: Bennasar Miguel
Published: March 2022

The study's primary purpose focused on analyzing educational training in Physical Education and the use of technological tools in the current context as a way of perceiving the reality of the use of technological platforms in academic exchanges in a virtual way. The research is methodologically attached to descriptive field studies. The data collection instrument was the survey, made up of 12 items, with their alternatives, which allowed the informants to extract the information from which the analyzes were based. For validity, expert judgment was applied, and reliability was determined using the Cronbach Coefficient, whose result was 0.89. As conclusions, the students stated that ICTs represent a significant fact for understanding educational realities. Likewise, they showed disagreement about Physical Education being versatile under the virtual modality.
Patient Satisfaction Level Concerning Dentistry Services during the COVID-19 Pandemic
Authors: Sandy Nicholaus , Juliawati Mita , Andayani Lia H.
Published: March 2022

Abstract: Patient satisfaction  is a comparison between the patient’s perception of the service received and their expectation before getting the service. The level of patient satisfaction is very important because it could be a measure of the success of a health care facility. The COVID-19 pandemic has an impact on patient satisfaction due to changes in the service flow. This study aimed to determine the level of patient satisfaction with dental services during the COVID-19 pandemic. This is an observational descriptive study with a cross sectional research design. The study was conducted by distributing the patient satisfaction questionnaire to 100 patients who received dental treatment at Puskesmas (Public Health Center) Kampung Sawah, Kecamatan Tanjung Karang Timur, Bandar Lampung. The results showed that 60.1% of patients had high level of satisfaction; 20.08% had moderate level of satisfaction; and 19.32% had low level of satisfaction. In conclusion, the majority of patients who received dental treatment at Puskesmas Kampung Sawah had high level of satisfaction of the services provided.Keywords: patient satisfaction; COVID-19; patient satisfaction questionnaire; dental services Abstrak: Kepuasan pasien merupakan suatu perbandingan antara persepsi pasien terhadap pelayanan yang diterima dengan harapan sebelum mendapatkan pelayanan. Tingkat kepuasan pasien sangat penting karena dapat menjadi tolak ukur keberhasilan suatu fasilitas pelayanan kesehatan. Pandemi COVID-19 memiliki dampak terhadap kepuasan pasien akibat adanya alur pelayanan yang berubah. Penelitian ini bertujuan untuk mengetahui gambaran tingkat kepuasan pasien terhadap pelayanan kedokteran gigi pada masa pandemi COVID-19. Jenis penelitian ialah observasional deskriptif dengan desain potong lintang. Penelitian ini dilakukan dengan menyebarkan patient satisfaction questionnaire kepada 100 pasien yang menerima perawatan kedokteran gigi di Puskesmas Kampung Sawah, Kecamatan Tanjung Karang Timur, Bandar Lampung. Hasil penelitian mendapatkan 60,01% pasien memiliki tingkat kepuasan tinggi; 20,08% memiliki tingkat kepuasan sedang; dan 19,32% memiliki tingkat kepuasan rendah. Simpulan penelitian ini ialah mayoritas pasien yang menerima perawatan kedokteran gigi di Puskesmas Kampung Sawah memiliki tingkat kepuasan yang tinggi terhadap pelayanan yang diberikan.Kata kunci: kepuasan pasien; COVID-19; patient satisfaction questionnaire; pelayanan kedokteran gigi
Analysis & Design of an Earthquake Resistant Multistory Apartment Building in all Seismic Zones to Obtain the Increment in the Required Percentage of Weight of Steel Reinforcement
Authors:   Master of Technology in Structural Engineering, Department of Civil Engineering, Brindavan Institute of Technology and Science, Kurnool, Affiliated to Jawaharlal Nehru Technological University (JNTU), Anantapur and approved by AICTE Andhra Pradesh, India., Ghouse Shaik Anchala Mohammad ,   PG Coordinator & Assistant Professor in Department of Civil Engineering, Brindavan Institute of Technology and Science, Kurnool, affiliated to Jawaharlal Nehru Technological University (JNTU), Anantapur and approved by AICTE Andhra Pradesh, India., Reddy Maddikera Lokanath
Published: March 2022

For designing of an earthquake-resistant structure we follow Indian Seismic design codes are exclusive to a particular country or region. Moreover these seismic codes considered all the criteria such as building typologies, accepted level of seismic risk, local seismology. IS 1893 is an Indian seismic code that provides the seismic zone map and specifies seismic design force. The Bureau of Indian Standard (IS: 1893 (Part-1) 2002) classified India into 4 seismic zones (i.e. Zone II, Zone III, Zone IV & Zone V) and the code allocates 4 levels of seismic intensities as zone factors. But this code does not provide any information regarding how much of required percentage of steel-reinforcement has been increased from zone to zone. The main objective for presenting this project is to obtain the increment in the required percentage of steel-reinforcement for various zones by analyzing a multistory Apartment Building with Stilt + G + 3 Floors as per Indian Standard Codes IS 456 : 2000 and IS 1893 (Part – 1) 2002 using STAAD-Pro Software.
Inventory Modeling: A Five Step Approach
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India., Thamaraiselvi Dr. D , Sripada Shanmukha Sai Ganesh ,   B.E student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India., Pranav Pisupati Srinivasa ,   B.E student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India.
Published: March 2022

Inventory is the array of finished goods, spares, raw materials, and other substances required in the production of the finished goods and it is a major asset to a typical manufacturing company. When utilized properly, it can yield great profits for an organization and when not managed in an optimized way, it can incur big losses. There are various methods for inventory control, some of them being JIT (just in time inventory), cross-docking, and cycle counting. But these methods never yielded dividends to companies in getting control over their inventories. Therefore the need for proper inventory models to help maintain optimal stock keeping in mind the specific constraints of each company/organization is essential, say the least. This paper presents a generic version of an inventory model for raw materials, finished goods, and spares in a stock-keeping unit (SKU) where the overall stock is considered as a dependent variable and it is expressed as a function of various parameters or independent variables such as seasonality, demand and lead times ( to name a few). The model allows the prediction of inventory levels of raw materials, finished goods, and spare parts of the machinery with a very high degree of accuracy and can subject the predictive model to various sensitivity and scenario analyses thus being able to gauge the opportunities and risks involved. As a result, there will be all-around improvements in vendor performance, procurement of raw material, handling the finished goods, and spare stocks resulting in an optimized environment in the inventory.
Web Phishing Detection using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India., Kumaran N , Sri Sai Purandhar ,   B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India., Manikanta Lokesh ,   B.E Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram (Tamil Nadu), India.
Published: March 2022

A web service is one of the most important Internet communications software services. Using fraudulent methods to get personal information is becoming increasingly widespread these days. However, it makes our lives easier, it leads to numerous security vulnerabilities to the Internet’s private structure. Web phishing is just one of the many security risks that web services face. Phishing assaults are usually detected by experienced users however, security is a primary concern for system users who are unaware of such situations. Phishing is the act of portraying malicious web runners as genuine web runners to obtain sensitive information from the end-user. Phishing is currently regarded as one of the most dangerous threats to web security. Vicious Web sites significantly encourage Internet criminal activity and inhibit the growth of Web services. As a result, there has been a tremendous push to build a comprehensive solution to prevent users from accessing such websites. We suggest a literacy-based strategy to categorize Web sites into three categories: benign, spam, and malicious. Our technology merely examines the Uniform Resource Locator (URL) itself, not the content of Web pages. As a result, it removes run-time stillness and the risk of drug users being exposed to cyber surfer-based vulnerabilities. When compared to a blacklisting service, our approach performs better on generality and content since it uses learning techniques.
Sentiment Analysis Applications during COVID-19 Pandemics: An Exploratory Review
Authors:   Department of Computers Science and Information System. Taibah University, Al Madinah Almunawara, Saudi Arabia., Alromema Waseem
Published: March 2022

Coronavirus pandemic has created complex challenges and adverse conditions. Sentiment analysis is a process of studying the user application. Because of using the internet in daily activities, many domains and organizations concentrate on analysis or getting user feedback to take the right decision. This paper is review the existing applications that used a sentiments analysis to identify major sentiment trends associated with the push to reopen the analyzing sentiment in social media like Twitter, etc. Data time aligned to the COVID-19 reopening debate. In addition, discover the most popular techniques and approaches. This study focus the research articles in high impact journals that published during the epidemics from 2019 to 2021. The research question that this study answer it are. This study can be beneficial to many domains such as sentiment analysis, text mining, research in related areas, and postgraduate students. This research could present valuable time sensitive opportunities for governments, and the nation into a successful new normal future. Several applications have employed in several domains, including tourism, education, business and health. Health information can be disseminated by social media and misinformation can be addressed via this platform.
Jual Beli Barang Bekas Melalui Bank Sampah Perspektif Hukum Ekonomi Syariah
Authors: Arifin Zarul
Published: March 2022

This research was conducted to explain the practice of selling used goods through a waste bank. This study aims to clearly illustrate the practice of buying and selling used goods through garbage banks in Sajad District and a review of Islamic law on buying and selling used goods through garbage banks in Sajad District .

Based on the results of the study concluded that the practice of buying and selling used goods through a garbage bank in Sajad Subdistrict already meets the terms and conditions of sale and purchase and is carried out on a like and like basis and no party feels disadvantaged. Review of sharia economic law on the sale and purchase of used goods through waste banks including legal buying and selling because in terms of purity of used goods sold in garbage banks are sacred goods and for used goods in accordance with the opinion of Hanafiyah scholars allow the sale and purchase of goods affected by unclean not to eaten. In terms of prices in the sale and purchase of used goods there has been an agreement between the two parties and no one is harmed.
EXPOSURE LEVEL AND ENTREPRENEURIAL NETWORKING AMONG PIG FARMERS IN BADAGRY, LAGOS STATE
Authors: OSSAI-IGWE LUCKY ESUH
Published: March 2022

The study investigates the relationship between exposure level and entrepreneurial networking among pig farmers in Badagry, Lagos State. Adopting a cross sectional survey research design, utilizing a census sampling technique, the entire population of sixty pig farmers located in Badagry was surveyed. A questionnaire was employed to elicit data from the respondents while correlation and regression analyses were utilized to analyze the data collected. The findings demonstrated that: (i) the exposure level does not in any way affect the entrepreneurial networking of the pig farmers in Badagry (p> 0.05; p = 0.167); (ii) exposure level is not significantly related to entrepreneurial networking among the pig farmers in Badagry. The study recommends that entrepreneurial networking be given proper attention to ensure stronger relationship among pig farmers which could enhance economic growth via increase in agriculture and gross domestic product (GDP). The study also offers suggestion for future studies.
Towards ‘New Normal’ Teaching-Learning for Quality Education: Media-Mediated Instruction Option
Authors: Adediran Yinka Oluranti , Oladiti Abiodun A.
Published: March 2022

The wave of changes pervading the global community presently has called for proactive measures in virtually all aspects of human endeavours to meet the exigencies of change and challenges coded new normal. Education and instructional delivery should therefore be global best practices compliant to give a country relevance among nations. Doing this successfully requires stakeholders in education to meet with the exigencies of the time. Since teachers are the drivers of the nation’s education programmes, they should be prepared to go beyond the traditional face-to- face (F2F) classroom setting. This requires being exposed to the rapid development in Information Communication Technology (ICT) and being able to cope with the challenges of the new normal in teaching. This is encapsulated in the media-mediated instruction that allows for the use of advances in various communication technologies in achieving educational goals which is the major reason of this study. This research therefore examines how, within the new normal, teachers can conduct effective teaching and learning, improve the quality of education, and the way forward for effective teaching and learning in the Arts and Humanities using media-mediated instructional tools.
Land Adaptation Strategies across the Rain-fed Agricultural States as Climate Change Persists
Authors: A.T Towolawi , O Oguntoke , B.S Bada , J.O Adejuwon
Published: March 2022

Acquisition of land for farming activities is hitting hard on the interested smallscale farmers in Nigeria while the available land faces climate change influenced degradation. This current research verified how farmers are coping across four rain-fed (Benue, Edo, Ondo and Niger) states using 1600 copies of pretested questionnaire administered through the multistage procedure. The retrieved copies were coded and analyzed descriptively (frequency and percentage) and inferentially (Chi-Square) at p < 0.05 levels of significance. The results showed that most farmland sizes were three plots, and adaptation of soil management techniques was observed in both Benue and Ondo States, where there were significant (p < 0.05) differences in the farmers' responses to indicate possible differences in policy could assist the two elements of quests. The farmers’ responses indicated addressing of land degradation significantly (p < 0.05), but not with application of fertilizers except in Ondo State (χ= 14.413, p = 0.108 > 0.05). The
farmers responsively planted trees with the same reasons in Ondo State (χ= 4.813, p = 0.850 > 0.05). The farmers hardly exercised zero tillage except in Edo State, while the Ondo State's farmers had no different (χ= 4.813, p = 0.850 >0.05) opinion. Farmers' responses on farmland size, soil management techniques, and land degradation were positive but significantly different. Therefore, the investigation deduced that states with significantly different responses would require different decisions, agricultural policies, and adaptation strategies to lessen and ease the effects of climate change on the land of such states.
Application of the Concept of Asset and Liability Management (ALMA) in the Islamic Banking System
Authors: Choirunnisak Choirunnisak
Published: March 2022

This study discusses the application of the concept of asset and liability management (ALMA) in the banking system. The method used in this research is library research with a qualitative approach, where the data are obtained from books, journals, articles and the like that discuss the theme. After that, it was validated, and analyzed descriptively. The results of this study are: Application of Asset and Liability Management in banking institutions, both Islamic banks and conventional banks must go through an assessment of the budget, make income plans, evaluate investment performance in the past, unify the distribution of bank assets and liabilities and implement asset and financial strategies obligation
Optimal Parameter Allocation in Renewable Energy Sources Integrated Fast Charging EV Station considering hGPS Algorithm
Authors:   Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India., Ray Priyanka , Babu Naladi Ram ,   Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India., Khushwaha Pawan Kumar ,   Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India., Bhattacharjee Chayan ,   Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India., Raju D. Koteswara ,   Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India.
Published: March 2022

A maiden attempt has been made to propose the detailed modelling of fast charging electrical vehicle (EV)stations connected to a hybrid grid-renewable energy source (RES like solar, mini-hydro, and wind) system considering EV demand characteristics and arrival time, departure time, state of charge and battery capacity. This helps achieve the maximum profit and reduce energy demand from the grid. Simulations are performed with a novel meta-heuristic algorithm named by hybrid genetic with pattern search (hGPS) algorithm for the first time. They are used for optimizing the charging station's system parameters, which maximize the net present value (NPV). The investigations are performed by the probabilistic distribution of the EV demand based on EV behaviours and is simulated with the sequential Monte-Carlo method by considering hourly intervals. The obtained economic considerations using hybrid genetic with pattern search (hGPS) algorithm are compared with Genetic Algorithm (GA), Pattern Search (PS) algorithm and are observed that hybrid genetic with pattern search (hGPS) maximizes the profit over others. It is also evident that with the proposed method, the power transferred capacity limit among system network and grid reduces the impact of the grid on the system network.
Indoor Air Quality Assessment Inside Secondary Public Classrooms in Jeddah, Saudi Arabia
Authors:   Department of Architecture, Faculty of Design and Architecture, Dar Al-Hekma University, Alama Areej ,   4872 Prince Majid Rd, Al Fayha'a, Jeddah 22246, Saudi Arabia, Sabbagh Mostafa ,   Department of Architecture, Faculty of Architecture and Planning, King Abdulaziz University; P.O. Box. 80210, Jeddah 21589, Saudi Arabia
Published: March 2022

Classroom indoor air quality (IAQ) can contribute to students’ wellbeing, academic performance, and quality of life. While classroom IAQ field assessments are regularly conducted globally, they are limited in the Kingdom of Saudi Arabia (KSA). Initiatives driven by Saudi Vision 2030 point toward improving IAQ conditions in classrooms and led to the development of enhanced pilot school models. This study assesses classroom IAQ in conventional and pilot secondary public schools in Jeddah using CO2 concentration levels as a commonly used indicator for comparing IAQ and ventilation performance. CO2 levels were measured in 12 classrooms (N = 12) that used different mechanical conditioning systems in three schools. The results revealed that all the examined classrooms reported high levels of CO2 concentrations in excess of the recommended 1,000 ppm by ANSI/ASHRAE Standard 62.1, which was mainly due to classrooms being overcrowded, the type of mechanical conditioning system, and students’ behavioral patterns and operational schedules. More practical guidance on the provision of fresh air and the efficiency of mechanical ventilation systems is required to ensure adequate ventilation and pollutant dilution.
Forecasting of voltage disturbances at the beginning of ferroresonance phenomena in power systems using by a new approach of long-short term memory (LSTM): LSTM for Ferroresonance in power systems
Authors:   Department of Electrical and Energy, Kayseri University, Kayseri, 38280, Turkey., Nogay Hidir Selcuk
Published: March 2022

Ferroresonance is an unexpected, continuous, and undesirable event that causes excessive growth and distortion in the voltage and current waveform, whose cause is unknown and suddenly develops in power systems. To take precautions against the ferroresonance phenomenon, it is necessary to be able to predict how the distortions in the ferroresonance voltage will continue. Today, the ferroresonance problem has not been fully solved yet and more scientific studies are still needed. In this study, a new approach of an LSTM network has been developed that predicts the irregular and excessively large-amplitude continuing behavioral disturbances of the phase voltage in a real electrical power network exposed to ferroresonance. As a result of the study, the ferroresonance-voltage continuing in distorted waveform was estimated with an error of 0.0346 according to the Mean Absolute Percent Error (MAPE). The training data used in the study is only about 5% of all predicted ferroresonance voltage data. The successful estimation of 95% of the Ferreroresonance voltage using only about 5%, proves the success of the LSTM model applied with a new approach for the study.
The prediction of product return rates with ensemble machine learning algorithms
Authors:   Industrial Engineering Department, Engineering Faculty, Istanbul University-Cerrahpasa, Istanbul, Turkey, Tuylu Ayse Nur Adiguzel , Eroglu Ergun ,   Department of Quantitative Methods, School of Business, Istanbul University, Istanbul, Turkey
Published: March 2022

There may not always be actual data available for planning. Predicted data are used especially for future planning. Due to errors in such planning based on prediction, many products enter the reverse logistics network without completing the shelf life. Especially in textile sector, because of fashion, it is the most important point of planning to be able to make accurate estimates in order to avoid unnecessary resource utilization and to provide minimum cost. It is difficult to establish a mathematical model because the prediction problems in real life have multivariate structure and unknown parameters. Most of the studies in literature have been based on time series prediction. But due to changing fashion and demands of consumers, there are significant differences between demand forecasts and real data. So, in the problems with unknown parameters and multivariate structure, Ensemble Machine Learning (EML) methods are preferred recently because they give more accurate results than other prediction methods. Unlike other studies, the product return rate in textile sector has been predicted with the Stacking and Vote algorithms from EML methods in this paper. In this direction, it is aimed to concentrate on the returns of the products sold with the preferences of the customers and to predict the returns more accurately. In this way, the consumer information obtained as a result of the analyzes can provide more accurate planning in avoiding unnecessary production, transportation and storage activities, reducing costs, resource utilization and environmental pollution. In addition, it is one of the main aims of the study to contribute to the literature by determining the parameters that can be used in predicting the return rates. Highest performance results were obtained with Stacking algorithm. The obtained results were given comparatively and the correlation coefficient of 86.07% was reached.
Set-up of the Experiment and Improve the Performance and Emissions of Diesel Fuel with Fusel Oil Additive from Waste Products
Authors:   Department of Chemical Engineering, College of Technological Studies, Public Authority for Applied Education and Training, PO. Box 42325, Shuwaikh 70654, Kuwait., Alenezi Raslan A , Awad Omar I. ,   Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, 518055, Shenzhen, China, Mamat Rizalman ,   Mechanical Engineering, University Malaysia Pahang, 26600, Pekan, Pahang, G Najafi ,   Biosystem Engineering Department, Tarbiat Modares University, Tehran, Iran.
Published: March 2022

Response surface methodology has been widely implemented to improve the pollutant emission characteristics and performance of a compression ignition engine. The fusel oil-biodiesel blend and pure diesel under varied engine loads and speeds with the use of Models of RSM were found to be statistically significant. This research study has aimed to statistically investigate how a fusel oil-diesel blend impacts compression ignition engine performance and the exhaust pollutants by comparing it to pure diesel fuel. The optimum parameter for reducing ISFC, NOx and CO2 emissions while boosting power was chosen. The blended fuel (F20) showed insignificant effects on the IP thereby 20% of fusel oil with diesel may be an acceptable ratio using CI engines in terms of power as well as the lowest NOx emissions with F20. Meanwhile, the highest values of ISFC and CO2 emissions were with F20. When comparing diesel to F20, the optimal load was 29.4 % and the engine speed was 2399 rpm. The predicted values for power, ISFC, NOx and CO2 emissions were 4.06 KW, 220.07 g/KWh, 55.56 ppm and 1.93% respectively.
A formação inicial de professores que ensinam matemática: desafios e possibilidades pelo caminho da extensão universitária
Authors: Castro Maria Celeste Souza de
Published: March 2022

Este artigo tem como objetivo apontar as potencialidades da extensão universitária na formação inicial dos professores de Matemática. A partir de uma pesquisa bibliográfica, realizada no Banco de teses e Dissertações da CAPES e de uma Revisão Sistemática de Literatura (RSL), realizada nos artigos e nos anais de eventos científicos, serão apontados os desafios e as possibilidades da extensão universitária neste campo formativo. A combinação de elementos das abordagens de pesquisa quantitativa e qualitativa teve como objetivo caracterizar, de forma abrangente e criteriosa, os dados oriundos de diferentes bases de divulgação científica. A abordagem qualitativa, teve o aporte da análise de conteúdo sendo apresentada uma descrição analítica dos conteúdos encontrados nos artefatos de divulgação científica. Os resultados denotam limites e potencialidades para a formação inicial de professores que ensinam matemática. Dos limites, a utilização das ações de extensão universitária distanciada das demandas apresentadas pelo chão da escola e a realização dessas ações de forma eventual o que limita a ação enquanto prática educativa e indissociável. Das potencialidades, a ideia de que a ação de extensão universitária pode se configurar como uma alternativa para o desenvolvimento de uma formação crítica dos professores de matemática se constituindo como um campo de resistência às políticas semiformativas que homogenizam e determinam padrões pragmáticos à formação de professores.
(Des)construção curricular necessária: resistir, (re)existir, possibilidades insubordinadas criativamente
Authors: Cyrino Marcia Cristina de Costa Trindade , Grando Regina Célia Grando
Published: March 2022

O objetivo do presente artigo é analisar os impactos das Diretrizes Curriculares Nacionais para a Formação Inicial de Professores para a Educação Básica e da Base Nacional Comum para a Formação Inicial de Professores da Educação Básica (BNC – Formação) e em seguida acenar com algumas formas de resistência no campo formativo. Na análise dos impactos são discutidas tensões no campo epistemológico, no campo curricular e no campo da profissionalização. Nessa análise foi possível observar que, no campo epistemológico, o professor é entendido como consumidor/implementador de conhecimentos produzidos por outros agentes educacionais. Há uma tentativa de padronizar os currículos dos cursos de formação de professores da Educação Básica, uma ênfase na pedagogia das competências, um rompimento da unidade teoria-prática e um fracionamento do conhecimento docente, ao romper com a ótica de organicidade entre a formação inicial e a formação continuada. No campo da profissionalização há uma responsabilização individual dos professores por sua formação e por seu desenvolvimento profissional. Como uma forma de resistir e (re)existir, defende-se uma (des)construção curricular, na perspectiva da insubordinação criativa, na busca de caminhos, brechas, atalhos, táticas, criativas e colaborativas que valorizem a profissionalização do professor e uma formação matemática em prol da justiça social.
Prevalence of Depression among Patients with Chronic Kidney Disease (CKD) at the Kenyatta National Hospital.
Authors: Kioko Angeline Mutindi , Mutavi Teresia Ndilu , Kigamwa Pius Akivanga
Published: March 2022

Background:  Depression is a common comorbidity among patients with chronic kidney disease (CKD). Preceding studies indicates that this condition causes increased mortality and is also linked to poor quality of life. The study aimed to establish the occurrence of depression among patients with chronic kidney disease in Kenyatta National Hospital in Kenya. Method: The study was carried out at the Kenyatta National Hospital in Kenya. The study was done at the renal unit and general medical wards of the hospital and was a cross-sectional descriptive study. The study enrolled 289 patients with CKD who met the inclusion criteria on follow up for kidney transplant and dialysis at the renal unit, those on outpatient follow up at the renal clinic and patients with CKD admitted in the medical wards. The participants were enrolled using systematic random sampling. They were then interviewed using a researcher designed a socio-demographic questionnaire with clinical characteristics and the Beck Depression Inventory-II. IBM Statistics Software Version 21 was used to analyse data and the results reported in narratives, tables and charts. Results: A total of 169(58.5%) participants were male, while 120 (41.5%) were female. Study participants had a mean age of 45.9 years. The prevalence of depression (borderline clinical depression to extreme depression) was found to be 28.4%. 24.9% of participants had mild mood disturbances and 46.7% did not have depression. The most common symptoms of depression among the participants were loss of energy as reported by 78.5% of them and increased fatigue which was reported by 77.9% of the research participants. Conclusion: There is a high prevalence of depression among patients with CKD and patients should be managed effectively for CKD and any other co-existing comorbidity to improve their health outcomes and their quality of life.
Patterns of choice adaptation in dynamic risky environments
Authors: Konstantinidis Emmanouil , Harman Jason L. , Gonzalez Cleotilde
Published: March 2022

An important aspect of making good decisions is the ability to adapt to changes in the values of available choice options, and research suggests that we are poor at changing behavior and adapting our choices successfully. The current paper contributes to clarifying the role of memory on learning and successful adaptation to changing decision environments. We test two aspects of changing decision environments: the direction of change and the type of feedback. The direction of change refers to how options become more or less rewarding compared to other options, over time. Feedback refers to whether full or partial information about decision outcomes is received. Results from behavioral experiments revealed a robust effect of the direction of change: risk that becomes more rewarding over time is harder to detect than risk that becomes less rewarding over time; even with full feedback. We rely on three distinct computational models to interpret the role of memory on learning and adaptation. The distributions of individual model parameters were analyzed in relation to participants’ ability to successfully adapt to the changing conditions of the various decision environments. Consistent across the three models and two distinct data sets, results revealed the importance of recency as an individual memory component for choice adaptation. Individuals relying more on recent experiences were more successful at adapting to change, regardless of its direction. We explain the value and limitations of these findings as well as opportunities for future research.
Red yeast rice preparations for dyslipidemia: A protocol for an overview of systematic review and meta-analysis
Authors:   Xiyuan Hospital,China Academy of Chinese Medical Sciences, Zhao Fangfang ,   Beijing University of Chinese Medicine, Lu Chunli , Chen Luying , Guo Yaxin , Lu Lijie , Jiang Yuerong , Liu Jianping , Chen Keji
Published: March 2022

Review question / Objective: What is the quality of systematic reviews/meta-analysis of red yeast rice (RYR) preparations for dyslipidemia? What is the comparative benefit of red yeast rice preparations on dyslipidemia compared to other lipid-lowering drugs? Based on the current controversies in dyslipidemia guidelines and clinical practice, to explore the relative benefits of red yeast rice compared with other lipid-lowering drugs, we plan to perform an overview of existing SRs/MAs. Condition being studied: Red yeast rice (RYR) has been used as an alternative to statin therapy in treating patients with dyslipidemia, particularly in those considered to be statin intolerant due to statin-associated myalgia (SAM), and clinical studies suggest that RYR is well-tolerated, safe, and effective for cardiovascular disease (CVD) primary prevention. Several studies support the beneficial effect of RYR on blood lipid profiles. Dyslipidemia is a worldwide public health challenge because of its high prevalence, leading to significant economic and social burdens. Many systematic reviews (SRs) /meta-analysis (MAs) have been performed to prove the effects of RYR on dyslipidemia during the past several years. High-quality SRs/MAs can provide clinicians, patients, and other decision-makers with a reliable scientific basis. However, existing SRs/MAs showed varied and heterogeneous results.
Health seeking behaviour among patients suffering from infertility in the Arab countries; a scoping review protocol
Authors:   1. Hadhramout University, 2. Universiti Sains Malaysia, Webair Hana Hasan , Ismail Tengku Alina Tengku , Ismail Shaiful Bahari
Published: March 2022

Review question / Objective: To identify how much and what is already known about health-seeking behavior (HSB) among the Arab patients who experienced infertility. Our purpose is to map and describe the studies that have been done and what they assessed concerning HSB among patients who experienced infertility. This includes the studies which address the factors affecting HSB. This review is conducted to display gaps in HSB literature and to inform a systematic review in the Arab countries. Condition being studied: The review will study research articles which addressed the HSB among couples, men, or women suffering from infertility. We adopted the definition of HSB by Ward et al. (1997) which is the actions undertaken by the patients who perceive themselves as infertile for the purpose to conceive and get children (Ward, Mertens, & Thomas, 1997). This could be any action ranged from neglect to seeking advanced infertility care. We will study the operational definition of HSB in each study, HSB model, rate of seeking medical care and type of care sought, other sources of help sought, and factors influencing HSB. In addition, we will describe how HSB was studied by defining the characteristics of the retrieved studies including design, setting, participants, and sample size, and infertility operational definition.