bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gestión de la Educación Virtual. Alcances Registrados en las Principales Bases de Datos Bibliográficas
Authors: Suárez-Amaya Wendolin , Castillo Susana Correa , Costa Claudio , Figueroa Angelo Burgos 
Published: January 2023

La educación virtual es un fenómeno que ha tomado auge en los últimos tiempos, por lo tanto, hacer un seguimiento de su gestión resulta primordial. El objetivo de este trabajo es ofrecer una revisión de la literatura especializada en torno a los aportes que se han levantado en la temática de la gestión de la educación virtual (GEV). El abordaje metodológico se hizo a partir de la revisión de las bases de datos Wos, Scopus, Scielo, Redalyc y Latindex. Como resultado de la revisión se identificaron un total de 33 trabajos que abordan la temática. Los criterios utilizados fueron el perfil de los autores y las colaboraciones, el alcance teórico, la concepción sobre gestión de la educación virtual, los procesos asociados a la gestión, las temáticas asociadas a las colaboraciones y, las revistas donde se está difundiendo la producción existente. Los resultados revelan escasez de estudios teóricos que discutan la gestión de la educación virtual, con lo cual se abre la posibilidad para desarrollar un nicho de investigación que más que una nueva tendencia, constituye una necesidad para adecuarse a las exigencias actuales.
Correlation between Medications Used during COVID Infection and Post-conditions after the Acute Phase of Infection: A Cross-sectional Study
Authors: Naseef Hani , AbuKhalil Abdallah Damin , Orabi Tala , Joza Mohammad , Mashaala Carmen , Elsheik Malak , Dababat Aseel , Qattosa Maram , Al-Shami Ni'Meh , Rabba Abdullah K 
Published: January 2023

Background:
During the COVID-19 pandemic, off-label medication prescribing and utilizing herbal products and multiple vitamins in the treatment, prevention, and symptom management of COVID-19 was an urgently needed practice to halt the SARS-CoV-2 infection crisis and progression.

Objectives:
This study aimed to determine the correlation between medications used during the pandemic and SARS-CoV-2 infection post-recovery symptoms.

Methods:
A cross-sectional questionnaire-based study was conducted on recovered COVID-19 patients. There were 20 multiple-choice questions, including patient demographics, treatment, and post-recovery symptoms. Chi-square and Fisher’s exact tests were used to investigate significant relationships. In addition, Binary logistic regression was performed to determine confounders. Data were analyzed using SPSS version 22.

Results:
Medications and supplements varied in their therapeutic effects on SARS-CoV-2 post-recovery symptoms. Patients who took vitamin D and calcium experienced increased symptom frequency, and patients taking ACE inhibitors experienced more headaches and coughs. Furthermore, patients receiving azithromycin were asymptomatic after recovery. Patients who took H2 antagonists reported persistent headaches and muscle pain.

Conclusion:
Patients infected with SARS-CoV-2 have responded differently to medications, multivitamins, and herbal supplements. Patients reported resolution of some symptoms and persistence of others post-recovery. Therefore, expert opinion should be considered in COVID-19 management until randomized controlled trials answer many questions and determine medications' safety and efficacy in prevention, treatment strategies, and symptoms of SARS-CoV-2 infection post-recovery.
use of translanguaging to facilitate students’ English learning in an Indonesian Pesantren
Authors: Aribah Siti Nihayati , Pradita Intan 
Published: January 2023

This self-observation report aims to investigate the translanguaging practices of teacher-students’ interactions in multilingual classrooms in an International Islamic Boarding School (henceforth: Pesantren). Since Pesantren is a multilingual and multicultural melting pot for Islam-based character building, it is necessary for English teachers in Pesantren to consider some relevant teaching approaches that merit to the needs of multilingual classrooms. Through extensive navigation, we found that translanguaging is one of referred teaching approaches that can accommodate the needs of learning English in multilingual context. However, empirical findings using translanguaging approach in Pesantren is found rare so far. Thus, this study is focused on the use of translanguaging to facilitate English vocabulary learning in a multilingual context. This self-observational report describes the first author’s teaching description about her teaching practices in a Pesantren classroom. She recorded her face-to-face interaction when explaining the meaning and the functions of English vocabularies. She also documented the lesson plans, learning materials, and students’ work to complete the self-observational report. The data were then coded and analyzed with theory-driven thematic analysis. This report found that translanguaging practices that she did were code-switching and code-mixing. When the teacher practiced translanguaging, the students tended to be able to use their L1 (Bahasa Indonesia) and L2 (Arabic) as linguistic resources to learn L3 (English).
Nighttime Continuous Contactless Smartphone-Based Cough Monitoring for the Ward: Validation Study
Authors: Barata Filipe , Cleres David , Tinschert Peter , Iris Shih Chen-Hsuan , Rassouli Frank , Boesch Maximilian , Brutsche Martin , Fleisch Elgar 
Published: January 2023

Background
Clinical deterioration can go unnoticed in hospital wards for hours. Mobile technologies such as wearables and smartphones enable automated, continuous, noninvasive ward monitoring and allow the detection of subtle changes in vital signs. Cough can be effectively monitored through mobile technologies in the ward, as it is not only a symptom of prevalent respiratory diseases such as asthma, lung cancer, and COVID-19 but also a predictor of acute health deterioration. In past decades, many efforts have been made to develop an automatic cough counting tool. To date, however, there is neither a standardized, sufficiently validated method nor a scalable cough monitor that can be deployed on a consumer-centric device that reports cough counts continuously. These shortcomings limit the tracking of coughing and, consequently, hinder the monitoring of disease progression in prevalent respiratory diseases such as asthma, chronic obstructive pulmonary disease, and COVID-19 in the ward.

Objective
This exploratory study involved the validation of an automated smartphone-based monitoring system for continuous cough counting in 2 different modes in the ward. Unlike previous studies that focused on evaluating cough detection models on unseen data, the focus of this work is to validate a holistic smartphone-based cough detection system operating in near real time.

Methods
Automated cough counts were measured consistently on devices and on computers and compared with cough and noncough sounds counted manually over 8-hour long nocturnal recordings in 9 patients with pneumonia in the ward. The proposed cough detection system consists primarily of an Android app running on a smartphone that detects coughs and records sounds and secondarily of a backend that continuously receives the cough detection information and displays the hourly cough counts. Cough detection is based on an ensemble convolutional neural network developed and trained on asthmatic cough data.

Results
In this validation study, a total of 72 hours of recordings from 9 participants with pneumonia, 4 of whom were infected with SARS-CoV-2, were analyzed. All the recordings were subjected to manual analysis by 2 blinded raters. The proposed system yielded a sensitivity and specificity of 72% and 99% on the device and 82% and 99% on the computer, respectively, for detecting coughs. The mean differences between the automated and human rater cough counts were −1.0 (95% CI −12.3 to 10.2) and −0.9 (95% CI −6.5 to 4.8) coughs per hour within subject for the on-device and on-computer modes, respectively.

Conclusions
The proposed system thus represents a smartphone cough counter that can be used for continuous hourly assessment of cough frequency in the ward.
Comparative incidence of diabetes following hospital admission for COVID-19 and pneumonia: a cohort study
Authors: Holman Naomi , Barron Emma , Young Bob , W. Gregg Edward , KHUNTI KAMLESH , Valabhji Jonathan , Sattar Naveed 
Published: January 2023

<p> </p>
<p><strong>Objective</strong>: The incidence of diabetes may be elevated following COVID-19 but it is unclear whether this is specific to SARS-CoV-2 infection, associated with shared risk factors for severe COVID-19 and diabetes and/or a generic risk following illness. </p>
<p><strong>Research design and methods</strong>: People admitted to hospital for COVID-19 and/or pneumonia between 1st April 2020 and 31st August 2020 in England were linked with the National Diabetes Audit to identify incident diabetes post discharge up to 31st March 2021. Comparator cohorts admitted with pneumonia over the same dates in 2017, 2018 and 2019 were followed until 31st March 2018, 31st March 2019 and 31st March 2020 respectively. Poisson regression models were used to calculate adjusted diabetes incidence rates. </p>
<p><strong>Results</strong>: Using the cohort of people discharged from hospital following a diagnosis of COVID-19 without pneumonia in 2020 as the standard population (incidence rate 16.4 per 1000 person-years (95% CI 12.8-20.7), adjusting for age, sex, ethnicity and deprivation gave incidence rates of 19.0 (95% CI 13.8-25.6) and 16.6 (95% CI 13.3-20.4) per 1000 person-years for those admitted for COVID-19 with pneumonia and pneumonia without COVID-19 in 2020. These rates are not significantly different from those found after hospital admission for pneumonia in 2019, 2018 and 2017 (13.7 (95% CI 10.8-17.3), (13.8 (95% CI 10.9-17.4), 14.2 (95% CI 10.9-18.3) per 1000 person-years respectively). </p>
<p><strong>Conclusions: </strong>Our data do not support a clear impact of COVID-19 on the incidence of diabetes compared to risks in several comparators groups including contemporaneously assessed risks in people hospitalised with pneumonia. </p>
Pengaruh Pemahaman Literasi Ekonomi Terhadap Tingkat Perilaku Konsumtif Mahasiswa Pendidikan Ekonomi UNPAS
Authors: Yogaswara S. Marten , Kusniawati Aini , Ramafrizal Yudho 
Published: January 2023

Judul penelitian ini adalah pengaruh pemahaman literasi ekonomi terhadap tingkat perilaku konsumtif mahasiswa pendidikan ekonomi Unpas. Penelitian ini bertujuan untuk mengetahui pengaruh literasi ekonomi terhadap tingkat perilaku konsumtif mahasiswa pendidikan ekonomi universitas pasundan. Metode penelitian yang digunakan adalah metode kuantitatif dengan pendekatan survey pada mahasiswa pendidikan ekonomi universitas pasundan angkatan 2020 dan 2021. Berdasarkan hasil penelitian menunjukkan bahwa literasi ekonomi memiliki dampak yang signifikan terhadap perilaku pembelian mahasiswa. Berdasarkan hasil pengujian hipotesis, terdapat pengaruh literasi ekonomi terhadap perilaku konsumtif pada 48,7% kasus, sedangkan sisanya 51,3% dipengaruhi oleh faktor lain yang tidak diteliti oleh peneliti.
Kata Kunci : Literasi ekonomi, perilaku konsumtif mahasiswa
Pengaruh Media Koperasi berbantuan Web Based Terhadap Minat Berkoperasi Mahasiswa
Authors: Maula Afief Maula , Riani Dini , Setiani Ani 
Published: January 2023

Penelitian ini bertujuan untuk mengetahui pengaruh media koperasi berbantuan Web Based terhadap minat berkoperasi mahasiswa. Populasi sebanyak 69 mahasiswa Program Studi Pendidikan Ekonomi Universitas Pasundan. Analisis yang digunakan adalah analisis regresi linier sederhana menggunakan program IBM SPSS Statistic Version 26. Adapun hasil penelitian menunjukan analisis regresi linear sederhana yang menghasilkan Y= 9,635 + 0,836x yang artinya, ada peningkatan sebesar 9,635 dari media koperasi berbantuan Web Based maka minat berkoperasi akan bertambah atau meningkat sebesar 0,836 sedangkan hasil koefisien determinasi menunjukan bahwa terdapat pengaruh media koperasi berbantuan Web Based terhadap minat berkoperasi mahasiswa Pendidikan Ekonomi FKIP Unpas sebesar 57,9% yang termasuk ke dalam kategori cukup kuat dan 42,1% dipengaruhi oleh faktor lain.
Kata kunci: koperasi, web based, minat
Emisión de carbono equivalente en la generación de beneficios económicos de la ganadería en el piedemonte amazónico colombiano
Authors: Pardo Rozo Yelly Yamparli , Andrade Adaime Milton César , Orjuela Cháves José Alfredo 
Published: January 2023

El estudio propuso estimar el carbono equivalente (CO2e) generado por la actividad ganadera en el piedemonte amazónico y cómo se relaciona con los beneficios económicos. Se calcularon indicadores de rentabilidad (como el valor presente neto, la razón beneficio costo y la tasa única de retorno) y se estimó la emisión de CO2e proveniente de las actividades operativas, administrativas y de comercialización en una muestra de 60 fincas ubicadas en el piedemonte amazónico colombiano. Se empleó análisis de conglomerados como técnica multivariada para determinar tipologías conforme con las características socioeconómicas de productores y niveles de producción de las fincas. Se propuso un modelo econométrico para hallar la emisión marginal de CO2 atribuida a la generación de utilidad, cuya validez teórica y estadística empleó el estimador de máxima verosimilitud y pruebas de hipótesis de medias. Se encontraron dos tipos de fincas según los factores económicos y ambientales: sistemas ganaderos de acumulación simple y sistemas ganaderos de subsistencia. El impacto de la actividad ganadera en el ambiente es observable a través de la huella de carbono: por cada millón de pesos generado en utilidades se emiten 0,033 Mg de CO2e, mientras que por cada bovino introducido se emiten 1,337 Mg de CO2e. En las fincas se estimó una huella de carbono de 3,1 Mg CO2e.ha-1. Estos datos aportan indicadores ambientales y económicos hacia la valoración de la sostenibilidad y permiten conocer el impacto que tiene la actividad ganadera en la emisión de gases de efecto invernadero que ha conllevado al cambio climático.
Traditional Crafts. What About?
Authors: Ionică Pîrvu 
Published: January 2023

Abstract
The (re)connection of contemporary society with traditional knowledge and its expression, traditional crafts, is a contradictory endeavor in itself. On one hand, traditional crafts are socially perceived as a burden, as a useless part of social life, and in the best case, as an exotic remanence of the past, good only for the hobbyists. On the other hand, as UNESCO and WIPO stated, traditional knowledge, and, by extension, traditional crafts are (or should be) an essential part of humankind’s history, part of the present, and the potential keepers of answers for future challenges. The presented paper aims to point out, mainly for general public use, the characteristics of traditional crafts and their richness. Traditional crafts might possess valuable answers for the present and future, related to sustainable use of natural resources; techniques and technologies for restoration and preservation of cultural heritage; holistic approaches in education; social and economic cohesion, especially for challenged communities. One of the main challenges in the active preservation of traditional crafts is that their protection and further acceptance at a social scale are connected with communities and not with individuals. In this respect, societies must find those instruments to address the communities of knowledge bearers and not companies or individuals. This understanding of the exceptional significance of communities in the present and future of traditional crafts is part of the solution for a desired sustainable life on this planet. Modern technologies will not offer all the answers to a dramatically fast-changing environment.
Barren Worlds
Authors: Benitez Federico 
Published: January 2023

Abstract
This work explores issues with the eliminativist formulation of ontic structural realism. An ontology that totally eliminates objects is found lacking by arguing, first, that the theoretical frameworks used to support the best arguments against an object-oriented ontology (quantum mechanics, relativity theory, quantum field theory) can be seen in every case as physical models of empty worlds, and therefore do not represent all the information that comes from science, and in particular from fundamental physics, which also includes information about local interactions between objects. Secondly, by giving a critical assessment of the role of symmetries in these fundamental physical theories; and, lastly, by warning about unfounded metaphysical assumptions. An argument is made for a moderate form of structural realism instead, one in which objects play the fundamental role of representing symmetries and bearing their conserved charges, and of participating in the network of interactions observed in the world.
Analysis of Relationship between Training Load and Recovery Status in Adult Soccer Players: a Machine Learning Approach
Authors: Mandorino M. , Figueiredo A.J. , Cima G. , Tessitore A. 
Published: January 2023

Abstract
Periods of intensified training may increase athletes’ fatigue and impair their recovery status. Therefore, understanding internal and external load markers-related to fatigue is crucial to optimize their weekly training loads. The current investigation aimed to adopt machine learning (ML) techniques to understand the impact of training load parameters on the recovery status of athletes. Twenty-six adult soccer players were monitored for six months, during which internal and external load parameters were daily collected. Players’ recovery status was assessed through the 10-point total quality recovery (TQR) scale. Then, different ML algorithms were employed to predict players’ recovery status in the subsequent training session (S-TQR). The goodness of the models was evaluated through the root mean squared error (RMSE), mean absolute error (MAE), and Pearson’s Correlation Coefficient (r). Random forest regression model produced the best performance (RMSE=1.32, MAE=1.04, r = 0.52). TQR, age of players, total decelerations, average speed, and S-RPE recorded in the previous training were recognized by the model as the most relevant features. Thus, ML techniques may help coaches and physical trainers to identify those factors connected to players’ recovery status and, consequently, driving them toward a correct management of the weekly training loads.
The Impact of Blended Learning and Direct Video Feedback on Primary School Students’ Three-Step Ball Throwing Technique
Authors: Kyriakidis G. , Panoutsakopoulos V. , Paraschos I. , Chatzopoulos D. , Yiannakos Α. , Papaiakovou G. 
Published: January 2023

Abstract
The purpose of this study was to evaluate three distinct methods of teaching the three-step ball throw simulating the javelin throw technique to primary school students. The sample consisted of 131 primary school students of 5th and 6th grade (Mage = 11.4, SD = 0.47 years) randomly divided into three groups. The control group (CON) received typical instruction, the first experimental group (EXP) followed a blended learning intervention which included an interactive learning activity software and the second experimental group (EXPVF) followed the same blended learning method with an additional direct video feedback system. A pre/post-test design was implemented to evaluate students’ technique, using as criteria five selected technique elements of the three-step ball throw. Wilcoxon signed-rank test analysis showed that all three groups performed significantly better after the intervention in all five criteria. However, Kruskal-Wallis H test analysis with post-hoc test revealed that the results for EXPVF group were significantly better than the other two groups in all elements, while the EXP group showed significantly better results in three of the five elements compared with the CON group. In conclusion, students appeared to benefit more in their three-step ball throw technique through blended learning and direct video feedback.
Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning
Authors: Nakahara Hiroshi , Takeda Kazuya , Fujii Keisuke 
Published: January 2023

Abstract
In baseball, every play on the field is quantitatively evaluated and the statistics have an effect on individual and team strategies. The weighted on base average (wOBA) is well known as a measure of a batter’s hitting contribution. However, this measure ignores the game situation, such as the runners on base, which coaches and batters are known to consider when employing multiple hitting strategies, yet, the effectiveness of these strategies is unknown. This is probably because (1) we cannot obtain the batter’s strategy and (2) it is difficult to estimate the effect of the strategies. Here, we propose a new method for estimating the effect using counterfactual batting simulation. The entire framework consists of two phases: (i) generate a counter-factual batter’s ability based on their actual performances and (ii) simulate games with the batting simulator. To realize (i), we propose a deep learning model that transforms batting ability when batting strategy is changed. This method can estimate the effects of various strategies, which has been traditionally difficult with actual game data. We found that, when the switching cost of batting strategies can be ignored, the use of different strategies increased runs. When the switching cost is considered, the conditions for increasing runs were limited. Our results suggest that players and coaches should be careful when employing multiple batting strategies given the trade-offs thereof. We also discuss practical baseball use-cases to use this simulation.
WHY DOES MUZAKKI PAY ZAKAT THROUGH BAITUL MAAL INSTITUTION?
Authors: Mentari Elyska , Suriani Suriani 
Published: January 2023

Abstract Islamic economic philanthropy through zakat is a means of distributing income from the rich to the poor. The decision of muzakki to pay zakah via zakat institution contributes to equal income distribution within an economy. Thus, it crucial to determine the factors causing muzakki to pay zakah via zakat institution. On this basis, this study intends to examine the effect of transparency, motivation, culture, and reputation on the decision of Muzakki to pay the zakat at the baitu maal institution. The method of analysis used in this research is a binary logit regression model. The sampling technique was purposive sampling with as many as 66 respondents. The results showed that transparency, motivation, culture, and reputation had a positive and significant effect on the decision of Muzakki to pay zakat at the baitu maal institution. To increase the interest of muzakki to pay zakat through the baitu maal institution, muzakki needs to be motivated to obey in paying zakat. The baitu maal institution is required to improve its reputation through optimizing service quality.
PENGARUH KURS, KONSUMSI PEMERINTAH DAN NET FOREIGN ASSET TERHADAP NERACA PERDAGANGAN DI NEGARA-NEGARA ASEAN
Authors: Dewi Queen Shinta , Dawood Taufiq Carnegi , Effendi Rustam , Siregar Muhammad Ilhamsyah , Abrar Muhammad , Fitriyani Fitriyani 
Published: January 2023

AbstractThis study objective is to analyze the factors which affect the trade balance in ASEAN countries. The data in this study uses secondary data in the form of annual data from 1990 to 2019 obtained from the World Bank, FRED, CEIC, andthe Ministry of Finance. The method employed is the GLS random effect panel data analysis model. The conclusion of this study is that the exchange rates, government consumption and Net Foreign Assets have a significant and positive effect on the trade balance of ASEAN countries.