bluuebunny/crossref_metadata_2025_split huggingface dataset:
El pensamiento estadístico como herramienta para la ciudadanía crítica en la formación inicial de profesores de Estadística
Authors: Martínez–Castro Cindy Alejandra , Zapata–Cardona Lucía 
Published: November 2021

El presente artículo reporta un estudio que indagó los aportes del pensamiento estadístico a la ciudadanía crítica en la formación inicial de profesores de Estadística. Los participantes de la investigación fueron diez profesores en formación que cursaban un seminario de Didáctica de la Estadística en un programa de Licenciatura en Matemáticas en una universidad pública de la ciudad de Medellín, Colombia. Los participantes fueron invitados a desarrollar cuatro investigaciones estadísticas en el aula relacionadas con crisis sociales. Las fuentes de información primaria fueron las discusiones en los encuentros del seminario. El análisis se llevó a cabo mediante una codificación inicial para reducir el volumen de la información, organizarla y encontrar regularidades y patrones.
Los principales hallazgos reflejan que mediante las investigaciones estadísticas en el aula, los participantes siguieron un ciclo de indagación empírica en el cual vincularon conceptos, herramientas, procedimientos, razonamiento e inferencia, disposiciones y contextos reales al aproximarse a dar respuestas a las preguntas estadísticas planteadas. Este es un aporte a la ciudadanía crítica.
A School-Based SARS-CoV-2 Testing Program: Testing Uptake and Quarantine Length After In-School Exposures
Authors: Boutzoukas Angelique E. , Zimmerman Kanecia O. , Mann Tara K. , Moorthy Ganga S. , Blakemore Ashley , McGann Kathleen A. , Smith Michael J. , Nutting Boen , Kerley Karen , Brookhart M. Alan , Edwards Laura , Rak Zsolt , Benjamin Daniel K. , Kalu Ibukunoluwa C. 
Published: November 2021

OBJECTIVES
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)–related quarantines, which are required after close contact with infected individuals, have substantially disrupted in-person education for kindergarten through 12th grade (K–12) students. In recent recommendations, shortened durations of quarantine are allowed if a negative SARS-CoV-2 test result is obtained at 5 to 7 days postexposure, but access to testing remains limited. We hypothesized that providing access to in-school SARS-CoV-2 testing postexposure would increase testing and reduce missed school days.

METHODS
This prospective cohort study was conducted in one large public K–12 school district in North Carolina and included 2 periods: preimplementation (March 15, 2021, to April 21, 2021) and postimplementation (April 22, 2021, to June 4, 2021), defined around initiation of an in-school SARS-CoV-2 testing program in which on-site access to testing is provided. Number of quarantined students and staff, testing uptake, test results, and number of missed school days were analyzed and compared between the preimplementation and postimplementation periods.

RESULTS
Twenty-four schools, including 12 251 in-person learners, participated in the study. During preimplementation, 446 close contacts were quarantined for school-related exposures; 708 close contacts were quarantined postimplementation. Testing uptake after school-related exposures increased from 6% to 40% (95% confidence interval: 23% to 45%) after implementation, and 89% of tests were conducted in-school. After in-school testing implementation, close contacts missed ∼1.5 fewer days of school (95% confidence interval: −2 to −1).

CONCLUSIONS
Providing access to in-school testing may be a worthwhile mechanism to increase testing uptake after in-school exposures and minimize missed days of in-person learning, thereby mitigating the pandemic’s ongoing impact on children.
Echocardiography in the intensive care unit: an essential tool for diagnosis, monitoring and guiding clinical decision-making
Authors: Soliman-Aboumarie Hatem , Pastore Maria Concetta , Galiatsou Eftychia , Gargani Luna , Pugliese Nicola Riccardo , Mandoli Giulia Elena , Valente Serafina , Hurtado-Doce Ana , Lees Nicholas , Cameli Matteo 
Published: November 2021

AbstractIn the last years, new trends on patient diagnosis for admission in cardiac intensive care unit (CICU) have been observed, shifting from acute myocardial infarction or acute heart failure to non-cardiac diseases such as sepsis, acute respiratory failure or acute kidney injury. Moreover, thanks to the advances in scientific knowledge and higher availability, there has been increasing use of positive pressure mechanical ventilation which has its implications on the heart. Therefore, there is a growing need for Cardiac intensivists to quickly, noninvasively and repeatedly evaluate various hemodynamic conditions and the response to therapy.Transthoracic critical care echocardiography (CCE) currently represents an essential tool in CICU, as it is used to evaluate biventricular function and complications following acute coronary syndromes, identify the mechanisms of circulatory failure, acute valvular pathologies, tailoring and titrating intravenous treatment or mechanical circulatory support. This could be completed with trans-oesophageal echocardiography (TOE), advanced echocardiography and lung ultrasound to provide a thorough evaluation and monitoring of CICU patients. However, CCE could sometimes be challenging as the acquisition of good-quality images is limited by mechanical ventilation, suboptimal patient position or recent surgery with drains on the chest. Moreover, there are some technical caveats that one should bear in mind while performing CCE in order to optimize its use and avoid misleading findings. The aim of this review is to highlight the key role of CCE, providing an updated overview of its main applications and possible pitfalls in order to facilitate its use in CICU for clinical decision-making.
COVID‐19 and Ontario's Long‐Term Care Homes
Authors: Stall Nathan M. , Brown Kevin A. , Maltsev Antonina , Jones Aaron , Costa Andrew P. , Allen Vanessa , Brown Adalsteinn D. , Evans Gerald A. , Fisman David N. , Johnstone Jennie , Jüni Peter , Malikov Kamil , McGeer Allison , Rochon Paula A. , Sander Beate , Schwartz Brian , Sinha Samir K. , Smith Kevin , Tuite Ashleigh R. , Hillmer Michael P. 
Published: November 2021

AbstractOntario long‐term care (LTC) home residents have experienced disproportionately high morbidity and mortality, both from COVID‐19 and from the conditions associated with the COVID‐19 pandemic. As of July 10, 2021, a total of 3,975 LTC home residents have died of COVID‐19, totaling 43.0% of all 9,245 COVID‐19 deaths in Ontario.The most important risk factors for whether a LTC home will experience an outbreak is the daily incidence of SARS‐CoV‐2 infections in the communities surrounding the home and the occurrence of staff infections. The most important risk factors for the magnitude of an outbreak and the number of resulting resident deaths are older design, chain ownership, and crowding.Many Ontario LTC home residents have experienced severe and potentially irreversible physical, cognitive, psychological, and functional declines as a result of precautionary public health interventions imposed on homes, such as limiting access to general visitors and essential caregivers, resident absences, and group activities. There has also been an increase in the prescribing of psychoactive drugs to Ontario LTC residents.The accumulating evidence on COVID‐19 in Ontario's LTC homes has been leveraged in several ways to support public health interventions and policy during the pandemic. Several further measures could be effective in preventing COVID‐19 outbreaks, hospitalizations, and deaths in Ontario's LTC homes. This includes improving staffing, minimizing LTC worker infection, decrowding LTC homes, enhanced infection prevention and control (IPAC) measures, a more balanced and nuanced approach to public health measures, and additional strategies to promote COVID‐19 vaccine acceptance amongst residents and staff.
Racial Differences in Self‐Appraisal, Religious Coping, and Psychological Well‐being in Later Life During the COVID‐19 Pandemic
Authors: Goler Timothy D. , Bhatta Tirth R. , Lekhak Nirmala , Langa Neema 
Published: November 2021

AbstractOlder adults from minority groups, especially those with pre‐existing health conditions, have been generally considered the most vulnerable to the COVID‐19. Due to greater health disadvantages prior to the pandemic, its adverse health impact in terms of mortality has been disproportionately higher on Blacks than Whites. The existing health disadvantages and worsening economic conditions due to the pandemic are likely to be anxiety‐inducing that could adversely impact the mental health of Black older adults. Existing studies conducted in the pre‐pandemic era have documented paradoxical findings on race differences in later life psychological well‐being. Even with significant structural disadvantages, Black older adults tended to report significantly better psychological well‐being (e.g., lower depressive symptoms) than White adults. The racial differences in coping mechanisms have been cited as an explanation for such paradoxical findings. Based on our national web‐based survey (N=1764, aged 50 years or older), we examined race differences in coping resources such as religious coping and self‐appraisal and their impacts on anxiety and depressive symptoms. We documented greater concerns about the personal impacts of the pandemic among Blacks than their White counterparts. The greater concerns about the pandemic were associated with poorer psychological well‐being outcomes. Yet Blacks reported fewer depressive symptoms and lower anxiety than Whites. Our study finds subjective religiosity, religious coping, and emotional support to be responsible for better psychological well‐being among Blacks than Whites. Our study highlights policy implications of coping resources for racial differences in later life psychological well‐being.
A Stage Set for Disaster: For‐Profit Nursing Homes, Federal Law, and COVID‐19
Authors: Papke David Ray 
Published: November 2021

AbstractThis article exposes the tragic relationship between for‐profit nursing homes and the spread of COVID‐19 in those facilities. For‐profit nursing homes came to dominate nursing‐home care in the United States in the second half of the twentieth century. However, for‐profit nursing homes on average provided care which was inferior to the care provided in state‐run and nonprofit nursing homes. Congress attempted to address the problems in nursing homes in the final decades of the twentieth century, but massive statutes and abundant regulations served mostly to legitimize for‐profit nursing homes. COVID‐19 then underscored the flaws in the legally sanctioned, for‐profit nursing homes, as thousands died within the problematic institution's walls.
THE ANALYSIS AND RECONSTRUCTION OF LABORATORY ACTIVITIES DESIGN ON THE MATERIAL OF DIFFERENCES BETWEEN ANIMAL AND PLANT CELLS FOR TENTH GRADE STUDENTS
Authors: Fattahillah Nuris , Supriatno Bambang , Anggraeni Sri 
Published: November 2021

This research aimed to provide an overview of the practicum design regarding the differences between animal cell and plant cell used in Student Worksheet in Banyuwangi Regency. The samples used were 6 Student Worksheets of practicum work on animal and plant cells consisting of 3 Student Worksheets from the education unit level curriculum (hereafter, KTSP) and 3 Student Worksheets from the curriculum 2013. The sampling technique used in this research was purposive sampling. The instruments used were obtained from the Biology Education Lecturers Team of Indonesia University of Education which consisted of relevance aspect, Competency Aspect, practical aspect and knowledge construction analysis of Vee Diagram adapted from Novak & Gowin (1984). The results of the analysis showed the following: 1.) relevance aspect, not in accordance with the demands of Basic Competence, 2.) Competency Aspect, there were no objects or phenomena that could be observed and the ability to think was only limited to C1, 3.) practical aspect, showing that the suitability of the tools , materials and practicum steps still did not meet the practicum standards, and 4.) the knowledge construction of title/objective had not been focused, the object of the phenomenon could not be observed and only a few theories, principles, and concepts could be identified. This shows that the role of Student Worksheet in practicum activities has not been optimal and practicum reconstruction is needed so that practicum activities can run optimally.
Scenario Model to Mitigate Traffic Congestion and Improve Commuting Time Efficiency
Authors: Khanza Shabrina Luthfiani , Suryani Erma , Hendrawan Rully Agus 
Published: November 2021

Background: Commuting time is highly influenced by traffic congestion. System dynamics simulation can help identify the cause of traffic problems to improve travel time efficiency.Objective: This study aims to reduce traffic congestion and minimise commuting time efficiency using system dynamics simulation and scenarios. The developed scenarios implement the Bus Rapid Transit (BRT) and trams projects in the model.Methods: System dynamics simulation is used to analyse the transport system in Surabaya and the impact of BRT and trams project implementation in the model in order to improve commuting time and to reduce congestion.Results: From the simulation results, with the implementation of BRT and tram projects along with highway expansion, traffic congestion is predicted to decline by 24-44%. With the reduction of traffic congestion, travel time efficiency is predicted to improve by 11-28%. On the contrary, implementation of BRT and tram project without highway expansion is predicted to increase the traffic congestion by 5% in the initial year of implementation, then traffic congestion is predicted to decline by 2% in 2035.Conclusion: Based on the scenarios, transport project implementation such as BRT and trams should be accompanied with improvement of infrastructure. Further research is needed to develop a more comprehensive transportation system to capture a broader view of the problem. Keywords: Model, Simulation, System Dynamics, Traffic Congestion, Travel Time
Comparison of Backpropagation and Kohonen Self Organising Map (KSOM) Methods in Face Image Recognition
Authors: Moonlight Lady Silk , Faizah Fiqqih , Suprapto Yuyun , Pambudiyatno Nyaris 
Published: November 2021

Background: Human face is a biometric feature. Artificial Intelligence (AI) called Artificial Neural Network (ANN) can be used in recognising such a biometric feature. In ANN, the learning process is divided into two: supervised and unsupervised learning. In supervised learning, a common method used is Backpropagation, while in the unsupervised learning, a common one is Kohonen Self Organizing Map (KSOM). However, the application of Backpropagation and KSOM need to be adjusted to improve the performance.Objective: In this study, Backpropagation and KSOM algorithms are rewritten to suit face image recognition, applied and compared to determine the effectiveness of each algorithm in solving face image recognition.Methods: In this study, the methods used and compared in the case of face image recognition are Backpropagation dan Kohonen Self Organizing Map (KSOM) Artificial Neural Network (ANN).Results: The smallest False Acceptance Rate (FAR) value of Backpropagation is 28%, and KSOM is 36%, out of 50 unregistered face images tested. While the smallest False Rejection Rate (FRR) value of Backpropagation is 22%, and KSOM is 30%, out of 50 registered face images. The fastest time for the training process using the backpropagation method is 7.14 seconds, and the fastest time for recognition is 0.71 seconds. While the fastest time for the training process using the KSOM method is 5.35 seconds, and the fastest time for recognition is 0.50 seconds.Conclusion: Backpropagation method is better in recognising face images than KSOM method, but the training process and the recognition process by KSOM method are faster than Backpropagation method due to the hidden layers. Keywords: Artificial Neural Network (ANN), Backpropagation, Kohonen Self Organizing Map (KSOM), Supervised learning, Unsupervised learning
Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review
Authors: Nurqamarani Adisthy Shabrina , Sogiarto Eddy , Nurlaeli Nurlaeli 
Published: November 2021

Background: Technology acceptance model (TAM) has been extensively used to analyse user acceptance of technologies adopted by enterprises at different levels. Moreover, the technology adoption has drawn attention among practitioners and academic communities alike, leading to the development of approaches to understand the concept. However, there is a degree of inconsistency found in previous studies on different types of TAM models used in explaining user acceptance of technologies among small-medium enterprises (SMEs).Objective: This critical literature review aims to synthesise the technology adoption scholarly studies using TAM. It is expected to aid the identification of the most relevant factors influencing SMEs in adopting technology. Additionally, analysing the variations of TAM developed in previous studies could provide suggested variables specific to the type of technology industry.Methods: An integrated approach was used, and this involves a review of articles on the adoption of technologies in SMEs from 2011 to 2021, retrieved from popular databases using a mixture of keywords such as technology acceptance model (TAM), technology adoption, and technology adoption in SMEs.Results: An overview of TAM studies on user acceptance of technology in this review covers a wide range of research areas from financial technology to human resource management-related technology. Perceived usefulness and perceived ease of use were discovered to be the most common factors in TAM from the 21 articles reviewed. Meanwhile, some other variables were observed such as context, type of technology and level of user experience.Conclusion: The review highlights key trends in previous studies on IT adoption in SMEs, which assist researchers and developers in understanding the most relevant factors and suitable TAM models in determining user acceptance in a particular field. Keywords: Technology Acceptance Model, Technology Adoption, Small-medium Enterprises, Critical Review
Pengembangan Lembar Kerja Peserta Didik Basis Hands on Activies dan Minds on Activities Pada Materi Alat Optik
Authors: Hadhiedae Ema Hainun , Miriam Sarah , Mahtari Saiyidah 
Published: November 2021

LKPD berbasis Hands on Activity (HoA) dan Minds on Activity (MoA) belum tersedia, terutama pada materi alat optik. Penelitian dan pengembangan ini bertujuan menghasilkan LKPD berbasis HoA dan MoA pada materi alat optik serta mendeskripsikan validitas dan kepraktisannya. Penelitian ini merupakan penelitian pengembangan dengan model ADDIE. Objek penelitian ini ialah kualitas kelayakan LKPD berbasis HoA dan MoA yang dikembangkan berdasarkan kriteria validitas dan kepraktisan. Teknik pengumpulan data dilakukan melalui instrumen validitas pakar, wawancara dan kuesioner. Subjek uji coba pada penelitian ini adalah peserta didik kelas XI di salah satu SMA Banjarmasin. Data diperoleh dari validitas pakar dan lembar keterbacaan LKPD oleh peserta didik. Hasil penelitian menunjukkan bahwa: (1) validitas LKPD berbasis HoA dan MoA sebesar 3,39 dengan kategori valid dan (2) kepraktisan LKPD berbasis HoA dan MoA sebesar 75,48% dengan kategori praktis. Dengan demikian, disimpulkan bahwa LKPD alat optik berbasis HoA dan MoA layak digunakan dalam proses pembelajaran fisika. Penelitian ini diharapkan dapat menjadi referensi bagi guru atau tenaga pengajar dan membantu proses pembelajaran pada materi alat optik. Student worksheets based on hands-on and minds-on activities (HoA and MoA) are not yet available, specifically on the subject of optical instruments. This research focused on producing student worksheets based on HoA and MoA on optical instruments subject and describe its validity and practicality. This research is development research with the ADDIE model. The object of this research is the eligibility quality of student worksheets based on HoA and MoA, which was developed regarding its validity and practicality criteria. This development research uses the ADDIE model within student worksheets based on hands-on and minds-on activities as research subjects. The test subjects in this research were class XI students at one of the high schools in Banjarmasin. The data collection techniques were carried out by expert validation instruments, interviews and questionnaires. The data were obtained from expert validation and student worksheets readability sheets. This research showed that: (1) the validity of student worksheets based on HoA and MoA was 3,39, which in the valid category and (2) the practicality of student worksheets based on HoA and MoA was 75.48% which in the practice category. Thus, student worksheets based on HoA and MoA on optical instruments subject were eligible to be implemented in learning physics. This research is expected to be a reference for teachers and help the learning process on optical instrument subjects.
Persepsi Peserta Didik dalam Pembelajaran Blended Learning Pada Mata Pelajaran Fisika di Tingkat SMA
Authors: Putri Rahma Kurnia , Purwanto Andik , Connie Connie 
Published: November 2021

Blended Learning sebagai model pembelajaran di lembaga pendidikan yang mengkombinasikan pembelajaran campuran yaitu offline dengan online. Adanya penelitian ini yang tujuannya mendeskripsikan persepsi peserta didik pada model Blended Learning mata pelajaran Fisika khususnya pada masa pandemi Covid-19, sehingga menjadi bahan evaluasi dalam implementasi Blended Learning di sekolah. Jenis penelitiannya adalah deskriptif. Tempat pelaksanaannya di salah satu SMA Kota Bengkulu. Sampel penelitian berjumlah 20 peserta didik dipilih dari 95 peserta didik kelas XI MIPA 1-3, melalui teknik simple random sampling. Instrumen penelitian berupa angket persepsi dan lembar observasi. Angket persepsi yang dirancang sebanyak 30 butir dengan tingkat reliabilitas angket sebesar (0,736) dengan kategori baik. Teknik analisis penelitian ini memakai metode analisis deskriptif serta pendekatan kuantitatif. Penelitian menghasilkan bahwa persepsi peserta didik sangat beragam dan mendapatkan suport yang positif dari semua aspek/pihak tentang persepsi peserta didik terhadap pembelajaran Blended Learning pada mata pelajaran Fisika. Blended learning as a learning model in educational institutions that composite blended learning, online educational materials and opportunities for interaction online with traditional place-based classroom methods. This study aims to describe student perceptions of the blended learning model in physical subjects, especially during the Covid-19 pandemic, to become an evaluation material in implementing Blended Learning in schools. This type of research is descriptive. The place of implementation is in one of the Bengkulu City High Schools. The research sample amounted to 20 students selected from 95 class XI MIPA 1-3 through a simple random sampling technique. The research instrument is in the form of a perception and observation sheet. In the form of perception questions, designed as many as 30 items with a questionnaire reliability level of (0.736) with a good category. In the analysis methodology of this study, the descriptive analysis method and quantitative approaches are used. The study found if students will receive positive support in all aspects of how students perceive Blended Learning in physics.