bluuebunny/crossref_metadata_2025 huggingface dataset:
Response to monoclonal antibodies in asthma: definitions, potential reasons for failure and therapeutic options for suboptimal response
Authors: Pérez de Llano L , Cisneros C , Domínguez-Ortega J , Martínez-Moragón E , Olaguibel JM , Plaza V , Quirce S , Dávila I
Published: August 2022

Real-life data reveal that more than half of severe asthma patients treated with monoclonal antibodies (mAbs) do not achieve a complete response. Response to mAbs must be assessed holistically, considering all the clinically meaningful therapeutic goals, not just exacerbations or oral corticosteroid reduction. There are two different ways of measuring the response to mAbs: one, qualitative, classifies patients according to the degree of disease control they have achieved, without explaining how much a given patient improves relative to his baseline (pre-mAb) clinical situation; the other, quantitative, scores the changes occurred after treatment. Both methods are complementary and essential to making clinical decisions on whether to continue treatment. Several potential causes of suboptimal response to mAbs have been described: incorrect identification of the specific T2 pathways, comorbidities that reduce the room for improvement, insufficient dose, autoimmune phenomena, infections, change of the initial inflammatory endotype, and adverse events. Once a suboptimal response has been confirmed, a well-structured and multifaceted assessment of the potential causes of failure should be performed, considering, in particular, the resulting inflammatory process of the airway after mAb therapy and the presence of chronic or recurrent infection. This investigation should guide the decision on the best therapeutic approach. This review aims to help clinicians gain insights into how to measure response to mAbs and proceed in suboptimal response cases.
Various prediction methods for finding employee retention rate
Authors: Vishal Mahajan  , Aithal P.S. , Mahajan Shailly
Published: August 2022

Prediction method are the methods performed on a data set either to foresee the reaction variable worth in view of an indicator variable or to concentrate on the connection between the reaction variable and the indicator factors. With the help of prediction, it will assist any organisation whether it is corporate or academic for the future retention rate of the employees and the grey area on which the organisations has to focus on rectification of employees concerned problems to increase the loyalty rate. Purpose of this paper is to explain the various techniques which are available presently for predicting or forecasting. This paper also explains about various prediction techniques and also provide insights about these techniques which are available for finding employee retention.
A study on digital payment applications in India
Authors: Anute Nilesh , Tyagi Gaurav , Jagadale Hrishikesh
Published: August 2022

This Research Paper is based on the in-depth study of applications that deals with Unified Payment Interface (UPI) in India. It shows how the dynamics are changing in the UPI sector and which companies are leading the table. The study was conducted in Pune Region and the survey was done with the help of questionnaire. A response of 82 respondents has been collected and then accordingly a conclusion is made. The Data for the study was also conducted from secondary sources which eventually helped us to get a fair understanding of the Industry. In today’s world one word is common that is “Digitalisation” and it is also gaining popularity due to increase in use of Smartphone by the people, the same has applied to the financial sector. In India, the Unified Payment Interface (UPI) was launched in the year 2016 by National Payments Corporation of India (NPCI). UPI is a payment server which allows its users to transfer the money on real-time basis from Peer-to-Peer (P2P) or from Personto-Merchant (P2M). It is an application that allows the users to use multiple bank accounts in single application. UPI has become so popular in India, also around world due to its ease of use, security, real-time alerts, etc. In India, UPI is currently in a growth stage and showing a robust growth year-onyear. In this research we will have an in-depth study on 5 major UPI apps in India namely GooglePay, PhonePe, Amazon Pay, Paytm and BHIM.
Key challenges and solutions for HR professionals in the “New Normal” 2022
Authors: Jain Akanksha , Nanda Shashi
Published: August 2022

It has been two years into the Covid-19 era, the world as we know has changed drastically, stumbling into survival mode as it tries to adjust to the new realities. People are learning to cope with rapid changes that can be disruptive and confusing. They are constantly faced by health scares, financial pressures and domestic challenges. The companies have been crushed by instability and workers are in stressful condition, in such a situation, it becomes the prerogative of HR professionals to step up and keep everything in perspective and aligned. As a result, Human Resources (HR) has become one of the most critical functions of any enterprise in these extraordinary times. This paper intends to highlight the challenges faced by companies and solutions for the same.

This conceptual paper is an attempt at deliberating on how COVID-19 has changed the work-culture landscape. What drastic change it has bought for the HR professionals and what needs to be recognized and adapted to in this new normal. The objective is to understand the hitches and challenges that has come with this new arrangement and lay down some solutions that can bring back the old growth regime.

This is a descriptive study based on information gathered from many HR professionals across industries. In-depth interviews of various stakeholders from a representative range of Indian organizations were conducted and some of the key human-resource related issues and challenges that have come up during the Covid times were identified and enumerated in this paper.

With Covid still very much prevalent but the economies slowly opening up, it is not possible to continue with traditional systems, processes and strategies that the HR professional were using in the pre-covid era. New measures, methods and stratagems need to be laid down to bring people back to work. There is a need to create new policies to re-allign and re-connect the individual goals with organizational goal to bring about a similar level of growth. Thus further accentuating the need for navigating and adapting around the ‘new normal’.
Impact of digitalisation on medical sector employees
Authors: Tailor R K , Walia Ishpreet , Dhuria Meghana , Sharma Palak
Published: August 2022

The present era is known as digitalisation era. There are various sectors in which digitalisation has impacted and has also increased the performance of employees as well as employers’ capacity and satisfaction. It is also important to explain the way, tools and techniques to understand and implement these technological challenges at their workplace. This technological change also shifting their employees from one phase of learning to second phase of learning. During the pandemic period, each saw increase in work from home opportunities this was because people could not go out for work when lockdown was declared. Work from home was possible because of digital presence across the country and various apps like Microsoft Teams, google duo, zoom etc. We were also not able to go to colleges, schools, coaching centers for studying then also due to digitally powerful base we were able to cope up with our studies. People were able to order food, grocery, clothes, and stuffs at their doorsteps using various shopping apps.
Atuação do Enfermeiro Especialista em Urgência/Emergência na Gestão de uma Unidade Básica de Saúde no Momento de Emergência Pandêmica - Covid19: Relato da Vivência Prática
Authors: Torquato Simone Elenir
Published: August 2022

Este estudo trata-se de um relato de experiência de uma Gerente de Unidade Básica de Saúde que adaptou o aprendizado teórico à prática da gestão durante a crise de emergência em saúde pública COVID19. Objetivo: Descrever a aplicabilidade prática da especialização de urgência/emergência na gestão administrativa de uma Unidade Básica de Saúde. Metodologia: Estudo descritivo tipo relato de experiência. Resultados: A atuação profissional em urgência/emergência demanda avaliação da segurança da cena e cinemática, com isto em mente, foi adaptado a atuação profissional para a gestão administrativa de risco com condensação no trinômio avaliação-conduta-coordenação donde priorizou-se a avaliação e adequação da capacidade instalada da Unidade frente a/ estrutura física, recursos materiais e humanos. Conclusão: A especialização profissional em urgência/emergência amplia a visão e facilita a tomada de decisão do processo de trabalho em emergência em saúde pública.
Educação e comunicação sobre vacinas contra Covid-19: um caminho a mais para a redução do impacto da doença nas populações
Authors: Furlam Tiago de Oliveira , Machado Carla Jorge , Pereira Claudia Cristina de Aguiar
Published: August 2022

Trata-se de resenha crítica da obra, cuja referência é: National Academies of Sciences, Engineering, and Medicine. 2021. Understanding and Communicating about COVID-19 Vaccine Efficacy, Effectiveness, and Equity. Washington, DC: The National Academies Press. https://doi.org/10.17226/26154
The Oxygen Blackout in the Amazon and the deaths by asphyxiation in patients with Covid-19 - Psychological sequelae
Authors: Honorato Eduardo Jorge Sant Ana
Published: August 2022

Article reporting situations of psychological demands in the middle of the pandemic, in the epicenter of Manaus
Egyetemi hallgatók környezettudatossága a materializmus, az élettel való elégedettség, a politikai, illetve a pandémiával kapcsolatos nézeteik függvényében
Authors: Mónus Ferenc , Béres Tamás , Sipos Flórián
Published: August 2022

Recently, an increasing focus has been made on studying environmental problems and therelated social phenomena. Understanding the environmentalism and its influencing factorsin the case of higher education students can greatly help the preparation and identificationof sustainability policies and educational practices in higher education institutions. In this study, we investigated environmental attitudes and pro-environmental behavior ofstudents at 17 Hungarian universities as a function of a number of hypothesized influencingfactors. These included materialistic values, life satisfaction, political views, and views on theCovid-19 pandemic. According to our results, these were all related to environmentalism. Moreenvironmentally conscious students were less materialistic, less right-wing in their politicalviews, more satisfied with their lives, and also differed in their views on pandemic issues. Besidea weaker impact of environmentalism and political views, life satisfaction was largely influencedby the relative financial situation perceived by respondents.
A leglátogatottabb európai országok tengerpartjainak érintettsége a túlzott mértékű turizmussal
Authors: Szőllős-Tóth Andrea
Published: August 2022

Tourism has a constant impact on the environment and on society, taking these impacts intoconsideration reveals that these are not always beneficial. Negative impacts include increasedpollution, inappropriate construction, conflicts between local society and tourists, crowding andcongestion. The objective of my research is to study coastal areas affected by overtourism insouthern European countries. By examining tourism in the European countries that received themost international tourists in 2019, I illustrate the importance of 3S tourism (sea, sand, sun), themass of tourists it attracts, and its effects. The tourism of France, Spain and Italy, with their sunny sandy coasts, are presented by summarising data sets from various international databases.I analyse the cases of some destinations from the three countries that are the main focus of the study, based on previously published articles. Coastal areas that have been associated with theovertourism phenomenon by other authors are also presented.
A „Zöld finanszírozáson” túl – A tőkepiac fenntarthatósági vonatkozásai
Authors: Dombi Mihály , Karcagi-Kováts Andrea , Harazin Piroska
Published: August 2022

The accumulation of capital constitutes an enormous obstacle to the sustainability transition.The role of the capital throughout the whole evolutionary process of civilization is undoubtedly impressive, as it has continuously delivered innovations in our everyday lives. Nevertheless, aswe argue in our study, a dominant part of capital accumulation has not fulfilled this functionin monetary and material terms as well recently; or performs at a low efficiency concerning theecological damage generated. Sustainability calls thus for an investment environment in thenear future that allows for the social benefits of capital accumulation through the expansionof the material services delivered, limiting the accumulation of material stocks, resulting insignificant adverse environmental impacts remarkably in the same time. We will introduceand compare the gains of savings and capital accumulation considering the monetary and thematerial dimensions of our socio-economic system, unveiling the relevance of the capital marketin sustainability transition in this way, beyond green finance.
Influence of Social and Organizational Changes Resulting from COVID on Teacher’s research
Authors: Almeida Iris Betzaida Pérez , Rosal José Carlos Casas , Mantero Carmen León , Aroca Alberto Analuisa
Published: August 2022

The arrival of COVID-19 meant a drastic change in the way of teaching and research. This paper explores the effect that the measures taken to contain the COVID-19 spreads have had on the research activities of teachers about variables such as area of knowledge, educational level, and role in projects or gender. To this end, an online survey was designed to collect data, requesting information about time lost in research, the number of papers proposed for publication in scientific journals, difficulties in managing research projects, guarantees in project funding or the capacity to reformulate research activities. Two hundred seventy-one teachers and researchers were asked to participate. Among the main results, most respondents agree on the difficulties in managing their projects; they have been forced to reformulate their research, although they claim that the time lost in research has been limited. The results will help to make decisions on the measures to be taken to alleviate the low performance of research by teacher-researchers during this period and to prepare contingency plans to reduce the impact.
Fusion of Hand-crafted and Deep Features for Automatic Diabetic Foot Ulcer Classification
Authors: Al-Garaawi Nora , Harbi Zainab , Morris Tim
Published: August 2022

This paper proposes to combine both the texture and deep features to build a robust diabetic foot ulcer recognition system since both features represent valuable information about the disease. The proposed system consists of three stages: feature extraction, feature fusion, and DFU classification. The feature extraction is performed by extracting the handcrafted and deep features. The feature fusion is performed by concatenating both feature vectors into a single vector. The DFU classification is performed by training a random forest classifier on the fusion vectors and the resulting classifier is used then for classification. Experimental results showed that the proposed approach provides satisfactory performance in DFU, ischaemia, and infection classification.
Geolocation-based Group Formation and its Mobile Application Prototype
Authors: Sukstrienwong Anon
Published: August 2022

Due to the rapid growth of mobile and wireless technologies, mobile collaborative activities have become important in group learning. However, the problem of establishing optimal groups of members located in various locations occurs if distances between each member and the group itself are concerned. Furthermore, the challenge becomes increasingly complex and time consuming as the number of people required for location-based group formation rises. As a result, the main contribution of this paper is to propose a greedy approach for generating optimal groups of members with the shortest traveling distances between members. We also want to demonstrate that the algorithm can be utilized on mobile devices. A prototype of a mobile -based graphical user interface is presented. In addition, a questionnaire is conducted in order to obtain user feedback that will help us shape the development of the future mobile application in an appropriate manner.
Nanotechnology Practices and Cost Restructure for Effective Cost Management under Industry 4.0 Based Manufacturing Systems
Authors: Mohammad Ali Ahmed Maher , Jabir Sahar Mahede , Kadhim Ameer Ageed , Almagtome Akeel
Published: August 2022

This study offers a theoretical foundation for how nanotechnology impacts most commodities and materials in many ways, given high-tech production processes that increase goods' functional, chemical, and physical qualities. This influenced the cost structure of production and strategic cost management's efforts to adjust for the change. The study employed descriptive-analytic methods to investigate nanotechnology's impact on cost management. The study was based on a comprehensive review of previous studies on nanotechnology and Industry 4.0. The results imply strategic cost management as a vital management and accounting strategy for reallocating indirect costs based on specifications to produce items that meet consumer needs. With rising fixed costs, this study links nanotechnology and cost structure. Strategic cost management techniques minimize costs while preserving product quality, enabling organizations to stay competitive.
Specificity of the Motivation for High-Quality Publications in Russia
Authors: Lambovska Maya Lambovska , Raitskaya Lilia
Published: August 2022

This theoretical study divulges the specificity of the Russian stakeholders' motivation to increase the number of articles in Scopus/WoS by Russian researchers. The research toolkit covers the stakeholder approach, PRISMA recommendations for systematic literature review, methods of deduction, comparison, and qualitative content analysis. We concluded that Russia is quite specific on this topic and found three primary Russian specifics: a unique stakeholder - the unified state bureaucracy; two unique motivational drivers of the researcher stakeholder - professional development and favourable academic environment; three unique motivational drivers of the university management stakeholder - political pressure reduction, power, and effective management.
Editorial Responsibilities
Authors: Team Editorial
Published: August 2022

no abstract
Is the Electronic Exchange of Patient Information among Iranian Healthcare Organizations a Distant Dream?
Authors: Seyyedi Negisa
Published: August 2022

The Article Abstract is not available.
A Low-Power and Wide Dynamic Range Digital Pixel Sensor for Intrinsic Optical Imaging in Image-Guided Neurosurgery and Neocortical Epilepsy
Authors: Salehifar Yasin , Ayatollahi Ahmad , Azim Karami Mohammad , Pirghayesh Ghurshagh Mahzad
Published: August 2022

Purpose: Determining the borders of brain tumors, seizure foci, and their elimination in patients with brain tumors is very important in preventing cancer recurrence. Multispectral Optical Intrinsic Signal Imaging (MS-OISI) image-guided neurosurgery using visible-Near-Infrared (NIR) wavelengths have shown great potential for image-guided neurosurgery. One of the main challenges is the need for low-power consumption, high-speed and above 100dB dynamic range to capture both visible and NIR photons. The overarching goal of this work is to create a Digital Pixel Sensor (DPS) as a Complementary Metal-Oxide-Semiconductor (CMOS) camera for MS-OISI of the brain in image-guided neurosurgery that has a wide dynamic range, low power consumption, and high speed.
Materials and Methods: The general view of neurosurgical system, DPS, and circuit operation of conventional Pulsed Frequency Modulation (PFM) DPS are given first. The proposed PFM DPS and circuit implementation are shown, as well as simulation results obtained using a circuit simulator. Finally, a comparison with other similar works is given.
Results: The proposed pixel simulation results show that the performance parameters such as dynamic range and power consumption has improved in comparison to similar works. However, due to its complicated circuitry, it has a low spatial resolution, which can be compensated.
Conclusion: The image sensor is post-layout simulated in 0.18μm CMOS technology with a 1.3V supply voltage, resulting in 140dB dynamic range and 7.69μW power dissipation with a 11% fill factor. The key novelty for the proposed PFM DPS is: in-pixel Analog-to-Digital Conversion (ADC), using a low voltage and high-speed dynamic comparator. Furthermore, this work uses a self-reset mechanism, which eliminates the need for an external pulse source, as well as variable reference voltage, which eliminates the necessity for a global constant reference voltage. All of these features demonstrate the excellent potential of the proposed pixel for MS-OISI image-guided neurosurgery.
Toward Applicable EEG-Based Drowsiness Detection Systems: A Review
Authors: Sheibani Asl Nasrin , Baghdadi Golnaz , Ebrahimian Serajeddin , Haghighi Sahar Javaher
Published: August 2022

Purpose: Drowsy driving accounts for many accidents and has attracted substantial research attention in recent years. Electroencephalography (EEG) signals are shown to be a reliable measure for the early detection of drowsiness. Unfortunately, there is no comprehensive study showing the applicability of drowsiness detection systems with EEG signals. In this research, we targeted the studies under the category of drowsiness detection, which adopted an EEG-based approach, to inspect the applicability of these systems from different aspects.
Materials and Methods: We included documented studies that utilized clinical devices and consumer-grade EEG headsets for detection of drowsiness and investigated the selected studies from different aspects such as the number of EEG channels, sampling frequency, extracted features, type of classifiers, and accuracy of detection. Among available headsets, we focused on the most popular ones, namely Muse, NeuroSky, and EMOTIV brands.
Results: Considerable number of studies have used EEG headsets, and their reports showed that the highest average accuracy belongs to EMOTIV, and the highest maximum detection accuracy, 98.8%, was achieved by the Muse headset. Spectral features extracted from short periods of 1, 2, or 10 secs are the most popular features, and the support vector machine is the most commonly used classifier in drowsiness detection systems. Therefore, implementing a reliable detection system does not necessarily include complicated features and classifiers.
Conclusion: It is shown that, despite their few electrodes, commercial headsets have gained decent detection accuracy. This study sheds light on the current status of drowsiness detection systems and paves the way for future industrial designs of such systems.
Gastrointestinal Manifestations of the COVID-19: A Systematic Review and MetaAnalysis with 111 studies
Authors: Soltani Saber , Zakeri Armin , Pakzad Iraj , Tabibzadeh Alireza , Zakeri Amir Mohammad , Zandi Milad , Akhavan Rezayat Sara , Jafarzadeh Mehrzad , Khalkhali Asl Parinaz , Zebardast Arghavan , Erfani Yousef , Shahbahrami Ramin , Pakzad Reza , Malekifar Pooneh
Published: August 2022

Introduction: Since the start of a pandemic from Wuhan, China in 2019, there is tremendous attention on the COVID-19 manifestation. One of the most important COVID-19 clinical presentations is gastrointestinal symptoms. The current systematic review study aims to focus on the implication of the gastrointestinal tract in patients infected with SARS-CoV-2.
Methods: We searched literature in MEDLINE, Scopus, Web of Science, and Embase to find related article by using the following keywords "COVID-19", "SARS-CoV-2 infection", "Gastrointestinal Tract", "digestive system". The heterogeneity of included studies was quantified with the I2 statistic. A random-effects model was used to estimate the pooled prevalence and a meta-regression method was utilized to investigate the factors affecting heterogeneity between studies.
Results: Of 3028 retrieved documents, 111 studies with 21126 COVID-19 cases were included. The prevalence of any Gastrointestinal symptoms was 17.22% (14.48 to 20.13). The prevalence of diarrhea was 13.75% (12.07 to 15.44), anorexia 27.41% (21.53 to 33.29) and Nausea/vomiting 8.11% (6.87 to 9.35). Furthermore, the prevalence of other symptoms in current study was fever 76.70% (73.42 to 79.83), cough 58.07% (54.59 to 61.52) and dyspnea/shortness of breath 24.63% (20.06 to 29.48). According to meta-regression results, age (p: 0.027) and fever (p<0.001) had significant effect on prevalence of any Gastrointestinal symptoms.
Conclusion: The anorexia, diarrhea, nausea, and vomiting are the most common Gastrointestinal presentations.
Measurement of Relative Efficiency Levels of Southeast Asian Countries in Dealing with the Covid-19 Pandemic Over One Year
Authors: Awang Nawi Mohamad Arif , Wan Zainon Wan Mohd Nazlee , Mohd Noor Nor Farid , Khamis Mohd Fadhli , Al-Rifai Ali Sultan , Amirul Mat Lazin Muhamamd , M. Sulaiman Ibrahim
Published: August 2022

Introduction: Handling the COVID-19 outbreak is one of the most novelties modern work is facing by many countries today. Massive outbreak needs countries efficacy and talent in creating new approaches. These approaches need to prevent the spread of the outbreak and increase the citizens' belief as the outbreak will damage the countries' functional capacity. Technical efficiency is used maximally to gain total control of the conditions. This study aims to measure the relative efficiency level of Southeast Asian countries in dealing with COVID-19 pandemic over one year.
Methods: The relative efficiency level of the most successful countries in Southeast Asia in managing COVID-19 infection was determined using Frontier 4.1 through Stochastic Frontier Analysis (SFA) and Excel software. The technical efficiency of the SFA model is defined as the ratio of observed output to maximum feasible production. If the country's technical efficiency (TE) is greater than 80%, it is the most effective in Southeast Asia at managing COVID-19 infection, but if it is less than 80% or close to 0, it is inefficient.
Results: This research aims at the COVID-19 epidemic in a Southeast Asian country, where the country with the highest technical efficiency score is the most efficient and indicates the country's ability to deal with the COVID-19 outbreak without any complications. Laos was ranked first (TE = 0.99901), with a technical efficiency score that was higher than that of most other Southeast Asian countries. Singapore comes in second position with a technical efficiency score of 0.99882. Brunei is in third place for COVID-19, with a technical efficiency score of 0.99870. Cambodia is in last place, with a score of 0.84675 for technical efficiency.
Conclusion: Laos is the highest technical efficiency score among the southeast Asian countries. Various things that can lead to inefficiency include lack of awareness about standard operating procedures (SOP) among the causes of COVID-19 case infection in the workplace, and the community continues to increase. This condition may also be due to the lack of medication or vaccines to cure COVID-19. All communities around the world are expected to adopt standard operating procedures (SOP) such as wearing face masks, hand sanitizers, and social distance to curb the increasingly violent spread of COVID-19.
Using Stacking methods based Genetic Algorithm to predict the time between symptom onset and hospital arrival in stroke patients and its related factors
Authors: Amani Firouz , Abdollahi Jafar , Mohammadnia Alireza , Amani Paniz , Fattahzadeh-Ardalani Ghasem
Published: August 2022

Introduction: The early arrival of patients with acute ischemic stroke to start of treatment by recombinant tissue plasminogen activator (rt-PA) within 4.5 hours after onset of stroke and its modeling by data mining methods is an important issue in care of stroke patients. In this paper, the aim was to provide methods to predict the time between symptom onset and hospital arrival in stroke patients and related factors, in addition to improve classification in minority class data, also to maintain the ability of classifying majority class data at an acceptable level.
Methods: We included 676 patients with ischemic stroke who referred to hospital of Ardabil city in the northwest of Iran in 2018. A new method using a combination of machine learning algorithms and genetic algorithms has been proposed to solve this problem. The performances were evaluated with accuracy, sensitivity, specificity, positive predictive value, and negative predictive value. Results: In this study, the stacking technique provides a better result (accuracy 99.51%, sensitivity 100%, and specificity 99.40%) among all other techniques.
Conclusion: Results of this study showed that this model can be used as a valuable tool for clinical decision making.
An application of CART algorithms for detection of an association between VDR polymorphisms and reduced bone density in individuals with type 2 diabetes: a population-based cross-sectional study
Authors: Ghodsi Maryam , Larijani Bagher , Roshani Shahin , Mohammad Amoli Mahsa , Razi Farideh , Keshtkar Abbas Ali , Khashayar Patricia , Zarrabi Fariba , Mohajeri-Tehrani Mohamad Reza
Published: August 2022

Introduction: An important part of preventing major common diseases is identifying genetic factors that contribute to their occurrence. For the first time in our knowledge, we investigated the association between five polymorphisms of vitamin D receptor (VDR) gene (ApaI, BsmI, FokI, EcoRV, and TaqI) and low bone density/osteopenia/osteoporosis in individuals with type 2 diabetes using classification and regression tree (CART) algorithms.
Methods: Data from 158 participants with T2D were used to develop the CART analysis. The binary output variable was "bone state" with low or normal values. Age and BMI (continuous variables), vitamin D deficiency (yes/no), and gender (binary variables), as well as the studied polymorphism of the VDR gene (categorical variables) all played a role in the explanatory model. A 5-fold cross-validation process was used for model validation.
Results: Participants were divided into three groups: men, women, and both sexes. In all groups, age was the major factor predicting the low state in the final obtained tree model. The second most significant predictor in each model was BMI in both sexes (accuracy:75.30% ± 2.80%, AUC: 0.740 ± 0.064), EcoRV polymorphism in women (accuracy: 80.79% ± 6.58%, AUC:0.785 ± 0.063), and TaqI polymorphism in men (accuracy: 76.36% ± 3.05%, AUC:0.706 ± 0.125).
Conclusion: Model validation of the final tree models demonstrated that the use of CART algorithms could be an acceptable technique for risk factors of osteoporosis among individuals with T2D. Our recommendation is to conduct more population-based studies. We hope this study will serve as a basis for future research.
Machine Learning-Based Clinical Decision Support System for Automatic Diagnosis of COVID-19 based on Clinical Data
Authors: Afrash Mohammad Reza , Erfannia Leila , Amrae Morteza , Mehrabi Nahid , Jelvay Saeed , Nopour Raoof , Shanbehzadeh Mostafa
Published: August 2022

Introduction: Needless to say that correct and real-time detection and effective prognosis of the COVID-19 are necessary to deliver the best possible care for patients and, accordingly, diminish the pressure on the healthcare industries. Hence our paper aims to present an intelligent algorithm for selecting the best features from the dataset and developing Machine Learning(ML) based models to predict the COVID-19 and finally opted for the best-performing algorithm.
Methods: In this developmental study, the clinical data of 1703 COVID-19 and non-COVID-19 patients Using a single-center registry from February 9, 2020, to December 20, 2020, were used. The Minimum Redundancy Maximum Relevance (mRMR) feature selection algorithm identified the most relevant variables. Then, chosen features feed into the several data mining methods, including K-Nearest Neighbors, AdaBoost Classifier, Decision Tree, HistGradient Boosting Classifier, and Support Vector Machine. A 10-fold cross-validation method and six performance evaluation metrics were used to evaluate and compare these implemented algorithms, and finally, the best model was implemented.
Results: Out of the 34 included features, 11 variables were selected as the essential features. The results of using ML algorithms indicated that the best performance belongs to the AdaBoost classifier with mean accuracy = 92.9%, mean specificity = 89.3%, mean sensitivity = 94.2%, mean F-measure = 91.6 %, mean KAPA = 94.3% and mean ROC = 92.1 %.
Conclusion: The empirical results reveal that the Adaboost model yielded higher performance than other classification models and developed our Clinical Decision Support Systems (CDSS) interface to discriminate positive COVID-19 from negative cases.
The Study of Psychometric Properties of the Persian Version of Communication and Symbolic Behavior Scale Developmental Profile /Infant Toddler Checklist: An Application of Confirmatory Factor Analysis with Skew Distribution
Authors: Nikkhoo Fatemeh , Naghsh Zahra , Gholami Fesharaki Mohammad
Published: August 2022

Introduction: The importance of early detection and intervention of communication and language problems has increased the need for appropriate tools in this area. This study with aim to evaluating the psychometric properties of Persian version of the Communication and Symbolic Behavior Scales Developmental Profile (CSBS DP) infant/ toddler questionnaire has been done.
Methods: In a cross-sectional study the Persian version of the CSBS DP was submitted to 157 participants randomly drawn from 8 kindergartens of Tehran city (Iran) in year 2020. Internal consistency, reliability, concurrent validity, and construct validity were evaluated. Concurrent validity was explored with total score of two questionnaires (Ages and Stages Questionnaire (ASQ) and MacArthur-Bates Communicative Development Inventory (CDI)).
Results: The correlation between CSBS DP questionnaire with ASQ-3 and CDI were 0.88 and 0.64 respectively. The test-re-test reliability and internal consistency were 0.78 and 0.77 respectively. The confirmatory factor analysis showed adequate construct validity of the Persian version of the CSBS DP questionnaire. RMSEA, GFI and AGFI were <0.000, >0.9 and >0.9 respectively; moreover, other indexes were satisfactory.
Conclusion: The results of this study showed that the validity and reliability of Persian version of CSBS DP questioner is approved and these tools can be used for early detection of evaluating language problems in in infant toddler.
Multivariate and Gene-Based Association Testing of Sarcopenia: Bushehr Elderly Health Program (BEH)
Authors: Noorchenarboo Mohammad , Akbarzadeh Mahdi , Fahimfar Noushin , Shafiee Gita , Moheimani Hamed , Khalagi Kazem , Amoli Mahsa Mohammad , Larijani Bagher , Nabipour Iraj , Ostovar Afshin , Dehghan Abbas , Yaseri Mehdi
Published: August 2022

Introduction: There is a strong correlation between the skeletal muscle mass index (SMI) and handgrip strength as indicators of sarcopenias. Multivariate methods can be exploited statistical power in determining the association between these correlated heritable indicators.
Methods: We conducted a multivariate candidate-gene study based on data collected from the ongoing Bushehr Elderly Health (BEH) cohort, which evaluated the prevalence of musculoskeletal disorders in 2772 Iranians over 60 years old with 663377 single nucleotide polymorphisms (SNPs). We chose genetic variants on IL10 (chromosome 1: 206940947, 206945839), a strongly associated gene known to cause muscle diseases, as candidate regions, which included 27 independent SNPs with LD<0.4 (MAF>0.01 and p-valuehwe >0.05). MultiPhen uses a linear combination of genotypes, including SMI and handgrip, to obtain stronger statistical power. To outperform and confirm the MultiPhen results, it combined with a summary statistics level genebased association test, GATES.
Results: Among the participants, 1138 men (48%) and 1205 women (52%) aged 69.2±6.35 and 69.56±6.45, were present respectively. 27 SNPs with a maximum MAF of 0.488 and a minimum of 0.0098, p-value hwe=0.3 were selected on Interleukin 10 (IL10). In the joint model MultiPhen test, 3 intronic variants (rs11119603, rs3950619, rs57461190) were associated with IL10 with effect sizes between 0.178 and 0.883 (p-value<0.05). We used the GATES model to assess the multivariate aggregated effect of IL10 on the phenotypes. Using this method, the gene's effect was significant (0.046), showing that it is a risk gene for sarcopenia.
Conclusion: This study examined the association of handgrip, SMI, with IL10, as demonstrated in previous studies as risk factors for muscular diseases, using multivariate methods that utilized a joint model to achieve a high level of statistical power.
Protótipo de um sistema eletrônico de medição de nível de reservatório de água residencial de baixo custo
Authors: Santos Carlos Renato Borges , Camargos Ana Flávia Peixoto de
Published: August 2022

Em razão das crises hídricas que vem ocorrendo em diversas cidades do Brasil nos últimos anos, é cada vez mais comum que os consumidores tenham preocupação sobre a informação do nível de água do reservatório residencial, haja vista que os racionamentos e desabastecimentos de água vem sendo cada vez mais comuns, principalmente durante os períodos de estiagem. Neste sentido, este trabalho tem como objetivo apresentar um protótipo de sistema de medição de água desenvolvido  a  partir  de  uma  revisão  bibliográfica  de  estudos  e  equipamentos  de baixo  custo dedicados ao monitoramento do nível de água em reservatórios residenciais. No  desenvolvimento do protótipo foi utilizado o microcontrolador Arduino e o ESP32. Como resultados, o sistema foi capaz de medir, transmitir sem fio a uma certa distância e mostrar o nível de água, bem como tem característica de ser de baixo custo.
O PAPEL DAS POLÍTICAS PÚBLICAS NA PRODUÇÃO SOCIAL DA INCLUSÃO
Authors: Dutra Martinha Clarete
Published: August 2022

Este artigo deriva da tese elaborada no âmbito do Programa de Pós-Graduação em Educação da Faculdade de Educação da UNICAMP - Linha de Pesquisa Formação de Professores e Trabalho Docente, vinculada ao grupo de pesquisa do Laboratório de Estudos e Pesquisas em Ensino e Diferença – LEPED/UNICAMP. Aqui, a proposta é focalizar o papel das políticas públicas na produção social da inclusão. Para tanto, organiza-se por meio da apresentação dos fundamentos teóricos que sustentam o direito à igualdade e à diferença, além da análise dos marcos normativos nacionais e internacionais, relativos ao direito das pessoas com deficiência à educação inclusiva. Na conclusão deste trabalho, salienta-se o potencial indutor do Estado na produção social da inclusão, demonstrado pelos indicadores que apontam a ampliação do acesso à educação inclusiva, o decréscimo de matrículas em escolas segregadas e a preferência majoritária das famílias, gestores e professores pelas escolas inclusivas.
EXPERIENCIA DE FORMACIÓN DOCENTE EN TIC Y RECURSOS DIGITALES INCLUSIVOS: Proyecto DIPCE
Authors: Ares Paloma Antón , Cuevas Pilar Gútiez
Published: August 2022

A medida que los profesores se encuentran con nuevos retos, necesitan actualizar su formación para poder adquirir competencias que les permitan afrontar y desempeñar con éxito su trabajo. En la actualidad, debido a la situación generada por la pandemia y la limitación de la presencialidad en las aulas, la irrupción de dispositivos tecnológicos y para ayudar a los alumnos a que sean digitalmente competentes, requiere que los educadores desarrollen nuevas prácticas metodológicas y adquieran más conocimientos digitales. El proyecto DIPCE, K2, coordinado por la Universidad Complutense de Madrid, España, e investigadores de Bulgaria, Grecia y Bélgica, tiene la finalidad de contribuir a la formación del profesorado para la incorporación de recursos digitales inclusivos y accesibles en la práctica pedagógica. Los resultados aportan un Modelo Didáctico para desarrollar y utilizar, recursos curriculares digitales, un Manual para transferir un curso en línea de manera inclusiva, Gráficos instructivos -en línea, móviles e imprimibles-, Vídeos animados explicativos para apoyar la implementación de la educación remota, así como una base de datos con prácticas de enseñanza, trayectorias y entornos de aprendizaje inclusivos. Productos para ayudar a que todos los alumnos, independientemente de sus características personales y circunstancias, puedan adquirir habilidades digitales necesarias para el aprendizaje y socialización.
DIFERENTES ENFOQUES DE LA EDUCACIÓN A DISTANCIA: revisión del concepto “estar juntos virtualmente” y sus implicaciones en el “saber estar” de los profesores
Authors: Albalat Jordi Quintana , Valente José Armando
Published: August 2022

Con motivo de facilitar bibliografía relevante y referentes teórico-prácticos de calidad en un curso sobre “Docencia Mixta” dirigido al profesorado a la Facultad de Educación del Universidad de Barcelona, consideramos importante traducir el artículo “Diferentes abordagens de educação a distancia” de Valente (2001). Al iniciar en 2021 su traducción, teniendo en cuenta el contexto de la educación y de la formación de maestros en Cataluña, así como el perfil y las necesidades formativas explicitadas por del profesorado de la citada Facultad, surgió la necesidad de adaptar, ampliar y contextualizar sus contenidos y referentes a la realidad del momento. Por ello hemos realizado una traducción anotada y por tanto con comentarios, en la que, además de la actualización y complementación correspondiente, revisamos el concepto “estar juntos virtualmente” ligándolo con la espiral del aprendizaje de Valente (2005a), para concluir con algunas reflexiones sobre implicaciones prácticas del paso de la docencia presencial a la docencia virtual o la docencia mixta, y el “saber estar juntos virtualmente”, las interacciones, las estrategias y las actitudes que los profesores deben tener en cuenta en los entornos virtuales.
Extension of Time In Construction Projects
Authors: Mishra A.K. , Sharma Madan , Selvam Janani
Published: August 2022

Timely complementation of project is highly focused. With an aim to assess the consequences of time extension in terms of project’s performance i.e time and cost based on cases of Nepal. The questionnaire contained statements on practices adopted of Eot in construction field, consequences of Eot in the project’s cost and time and impacts of Eot in the project’s performance through literature review. Also, the impacts of Eot in the project’s performance were tested through Hypothesis test method. Total of four statements from practices adopted in construction, seventeen statements from the consequences of Eot and Four statements from the impacts of Eot in projects performance were established and administrated on twelve projects for collecting the information. The identified results were analyzed with Relative Importance Index (RII) and Ranking. The significant impacts of cost, time and quality were tested on project performance by Regression as set Hypothesis.  Overall RII of practices adopted of Eot in construction field as timing of Eot claim varied from maximum 0.813 to minimum 0.74. The RII of consequences of Eot varied from maximum 0.920 to minimum 0.600. Architect too busy with other tasks attend the bottom position based on overall RII rank value.
Mujeres negras vicheras: una mirada al empoderamiento en el Pacífico colombiano
Authors: Ibáñez Quiñones Sandra Paola , Anacona Muñoz Adriana , Arango Pastrana Carlos Alberto
Published: August 2022

Esta investigación tuvo como propósito analizar el empoderamiento de las mujeres negras vicheras en relación con el desarrollo de las comunidades afrodescendientes del Pacífico colombiano. Para la elaboración del estudio, se planteó una metodología de enfoque cualitativo, por lo que se aplicaron 44 entrevistas (semiestructuradas, en profundidad y colectivas) a mujeres productoras o comercializadoras de viche como técnica de recolección de información. De igual manera, se realizó un análisis cualitativo, a través del software Atlas.Ti que permitió vislumbrar la relación del proceso de empoderamiento de las mujeres y el desarrollo de su comunidad. A partir de lo anterior, se pudo determinar que las prácticas culturales, como la producción de viche, contribuyen a la movilización y transformación de las comunidades. Asimismo, el rol de las mujeres es representativo en este proceso productivo.
Língua de sinais, gestos e cores
Authors: Silva Gustavo de Godoy e
Published: August 2022

A língua de sinais ka'apor não tem nenhuma palavra que denote uma cor específica. Somando-se a esse fato, aparentemente curioso, há outro ainda mais revelador e ao que parece contraditório: há um sinal que designa a ideia genérica de cor. Isso não é tudo. O sinal cor é também usado na gesticulação que acompanha a língua ka'apor falada, a qual não apresenta um item lexical que designe o conceito de cor. Portanto, o ka'apor falado apresenta um gesto para a ideia genérica de cor e itens lexicais da fala que são termos para cores específicas. Partindo desses dados, retomo uma discussão geral sobre a semântica das cores específicas, argumentando que esse não é um domínio fundamental das línguas humanas (Wierzbicka 2008). Além disso, argumento que a modalidade gestual, embora seja um canal visual, é rebelde à referência de cores: as línguas de sinais, por isso, não se adequam à ideia de termos básicos para cores, tal como formulada por Berlin e Kay (1969). Cito aqui o caso da Libras, da língua de sinais do povo yolŋu e da língua de sinais de Top Hill. Por fim, observo que se a língua de sinais ka'apor ignora os termos específicos para cores, o pensamento mítico ka'apor, conhecido por surdos e ouvintes, conceptualiza o excesso de cores como algo maléfico – fato este já demonstrado pela análise comparativa de mitos (Lévi-Strauss 1964). O presente artigo é uma revisão e continuação do trabalho de Ferreira e Siqueira (1985) que compararam a língua de sinais do povo ka’apor com a Libras.
Online Sufism and Reestablishing Religious Authority
Authors: Hidayati Dahlia
Published: August 2022

ONLINE SUFISM AND  REESTABLISHING RELIGIOUS AUTHORITY

Recent burgeoning assumptions claim that long-established traditional authorities are professed to diminish due to the rapid advancement of information media technologies. New and more flexible and democratic authorities have dismantled the abovementioned old power. However, contemporary social media transmission does not eradicate these religious authorities, particularly in the realm of Sufism. Sufi figures generally use cyberspace technologies to disseminate and reinforce their doctrines. Based on Weber's theory of charismatic authority, this study examined the authority features manifested by the Sufism figure Habib Luthfi bin Yahya from Pekalongan Indonesia on social media networks. It is encapsulated that the Islamic mystical school of thought is no longer maintained through direct or offline practices, but it has increasingly evolved into an online community.

 

Keywords: Media, authority, sufism, online, cyberspace.