bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Occupational Fatigue in Healthcare Professionals During the COVID-19 Pandemia
Authors: ÇAĞAN Özlem , IRMAK KAYA Zeynep
Published: August 2021

Aim: This study aimed to determine the level of occupational fatigue in healthcare professionals during the COVID-19 pandemic process and assess some variables considered to have a relationship with it. Material and Method: This study used a descriptive cross-sectional design and was carried out on physicians and nurses between June and July 2020. The study data were collected using a questionnaire with items questioning some socio-demographic data of the healthcare professionals, characteristics of their workplace and working conditions, and contact with patients with COVID-19, and the items of the Occupational Fatigue-Exhaustion Recovery Scale. The study group consisted of 308 females and 98males. In non-normal distributions, the Mann-Whitney U test was used for variables with two groups and Kruskal–Wallis-H test for variables with more than two groups.Results: The mean scores of the healthcare professionals from the chronic fatigue and acute fatigue sub-domains of the Occupational Fatigue Exhaustion Recovery Scale were 60.65±29.10, 65.52±21.64 and 45.09±19.1, respectively. In the study group, fatigue levels were higher in women who were aged 49 years or younger, had weekly working hours of more than 40 hours, and came into contact with COVID 19 patients every day.. Conclusion: The fatigue and burnout levels of healthcare professionals who are directly involved in the care of patients with COVID-19 during the pandemic process were above moderate levels, and the level of their recovery was at a moderate level. It is recommended that necessary administrative initiatives should be taken to improve healthcare workers’ rights, whose working conditions are getting more difficult in the pandemic environment, their needs for rest should be planned, and that working environments that will ensure that not only the risk of contamination but also the risk factors that will arise due to fatigue are under control should be created.
Evaluation of the Correlation Between the Severeness of Lung Involvement and Fatty Liver Disease in Covid-19
Authors: ÜNLÜ Serkan , ILGAR Mehtap , AKÇİÇEK Mehmet
Published: August 2021

Aim: The aim of the study is to investigate whether there is a correlation between the severity of pneumonia and fatty liver disease in COVID-19. Material and Method: In this study chest computed tomography (CT) images of 168 patients who were confirmed to be COVID-19 positive according to nasopharyngeal swab specimens were evaluated. The severity of pneumonia and the presence of hepatic steatosis were evaluated on CT images.Results: The patients were aged between 26 and 89, and the mean age was 63.6 ± 12.4 years. 101 (60.1%) of the patients were male. Hepatic steatosis was observed in 51 (30.4%) patients. No significant difference between the severity of pneumonia and hepatic steatosis on CT (p = 0.715) was found. No significant difference was found in the presence of hepatic steatosis in patients who died because of COVID-19 compared to patients who recovered (p = 0.938).Conclusion:This study revealed that there is no relationship between the severity of COVID-19 pneumonia and hepatic steatosis.
Aplicación e interpretación del diseño de experimentos en cultivos perennes - Café
Authors: Montoya Esther Cecilia
Published: August 2021

En el día a día, cuando la tarea de asesor estadístico se enriquece con el conocimiento y aporte de investigadores en diferentes áreas del conocimiento, relacionadas con un cultivo perenne como lo es café, queda el deber de compartir lo aprendido, complementando detalles que no se encuentran en los textos teóricos de los modelos lineales asociados a los diferentes diseños experimentales, aplicados en la investigación de tipo explicativa. La iniciativa de tener un libro guía en la interpretación de los resultados de diferentes investigaciones de este tipo, se la debo a una sugerencia del Doctor Gabriel Cadena siendo director de Cenicafé y gracias a sus sucesores he podido llevarla a feliz término. Este texto fue elaborado pensando en usuarios de la estadística, principalmente para investigadores y estudiantes, haciendo énfasis en la aplicación del método científico y la estadística para obtener resultados confiables, con la adecuada interpretación y presentación de resultados de los diseños estadísticos experimentales, más utilizados en el Centro Nacional de Investigaciones de Café - Cenicafé.
Two new species and one new record of Neoperla (Plecoptera, Perlidae) from Guangxi Zhuang Autonomous Region, China
Authors: Mo Raorao , Wang Guoquan , Li Weihai , Murányi Dávid
Published: August 2021

Three species of the Neoperla montivaga group are described from Guangxi Zhuang Autonomous Region of southern China, including two new species, N. falcatatasp. nov. and N. shangsiensissp. nov., and a new record for Guangxi: N. bilineata Wu & Claassen, 1934. Illustrations and color images are provided for the three species mentioned above, and the new species is compared with related congeners in the group. Notes on the distribution of the Neoperla species known from Guangxi are also given.
The exercise-instrumental music program and irisin levels in younger non-professional athletes
Authors: Sugiharto S. , Merawati D. , Susanto H. , Pranoto A. , Taufiq A.
Published: August 2021

A passive lifestyle and lack of exercise are triggering factors in increasing metabolic syndrome, whereas metabolic syndrome is associated with increased morbidity and mortality. This study aimed to analyse an exercise-based non-pharmacological approach combined with instrumental music to the plasma levels of irisin. The study employed a randomised pretest-posttest-only group design recruiting 30 male participants. The individuals aged between 19-21 years, body mass index (BMI) 18.5-24.9 kg/m2, normal blood pressure, normal resting heart rate (RHR), VO2max 40-50 ml/kg bodyweight/min, normal haemoglobin (Hb). The subjects were randomly divided into three groups, MIE (n=10, moderate-intensity exercise), MIEM (n=10, moderate-intensity exercise + instrumental music), and HIE (n=10, high-intensity exercise). Blood sampling was collected from pre- and 5 min post-exercise treatment. ELISA method was used to measure the circulating irisin levels. The non-parametric Kruskal-Wallis test, Mann Whitney test and Spearman correlation were chosen to analyse the data. The results showed that there is no significant difference in pre-exercise irisin levels (ng/ml) in MIE (1.58±0.89), MIEM (1.77±3.12), and HIE (1.65±0.88) with a P-value of 0.098. Importantly, the alteration of irisin levels post-exercise program revealed that the level of this peptide (ng/ml) is higher in HIE (7.28±5.11) compared to MIE (1.95±1.85) and MIEM (4.16±3.40) with a P-value of 0.019. The plasma levels of irisin significantly correlate to energy expenditure (r=0.353, P≤0.01), plasma peroxisome proliferator-activated receptor gamma coactivator-1α (r=0.597, P≤0.001), and high-density lipoprotein (r=0.513, P≤0.01). In summary, increased irisin secretion may directly contribute to the gradual alteration of energy expenditure and correlate to physical exercise intensity-related musical treatment.
Very low-grade metamorphism of the Dezadeash Formation (Jura-Cretaceous): Constraints on the tectonometamorphic history of the Dezadeash flysch basin and implications regarding the tectonic evolution of the Northern Cordillera of Alaska and Yukon
Authors: Lowey Grant W ,   Whitehorse, Yukon. Canada
Published: August 2021

Mesozoic convergence of the Wrangellia composite terrane with the western margin of North America resulted in the collapse of intervening flysch basins. One of these basins, the Jurassic-Cretaceous Gravina-Nuzotin belt, comprises from south to north, the Gravina sequence and Gravina belt in southeastern Alaska, the Dezadeash Formation in Yukon, and the Nutzotin Mountains sequence in eastern Alaska. Previous work shows that the Gravina sequence and Gravina belt were underthrust > 20 km beneath the margin of North America in mid-Cretaceous time, culminating in amphibolite facies metamorphism. This tectonometamorphic scenario was subsequently applied to the entire Gravina-Nutzotin belt, despite any detailed studies pertaining to the tectonometamorphic evolution of the Dezadeash Formation. The present analysis of the Dezadeash Formation reveals that metamorphic mineral assemblages in sandstone and tuff document subgreenschist, high temperature zeolite facies metamorphism; Kübler indices of illite and Árkai indices of chlorite in mudstone record diagenetic to high anchizone metapelitic conditions; and the color of organic matter (i.e., the Thermal Alteration Index of palynomorphs and the Conodont Alteration Index) and pyrolysis of organic matter in mudstone and hemipelagite beds document thermal maturation at catagenesis to mesogenesis stages. Collectively, the mineralogic and organic thermal indicators in the Dezadeash Formation suggest that strata experienced maximum pressure-temperature conditions of 2.5 ± 0.5 kbar and 250 ± 25 ℃ in the Early Cretaceous. The inferred tectonometamorphic evolution of the Dezadeash Formation does not support the northern part of the Gravina-Nutzotin belt being underthrust > 20 km beneath the western margin of North America in mid-Cretaceous time, thus contrasting sharply with the Gravina sequence and Gravina belt in the southern part of the Gravina-Nutzotin belt. The diverse tectonometamorphic histories recorded by the southern and northern parts of the Gravina-Nutzotin belt may be a manifestation of oblique collision and diachronous south-to-north accretion of the Wrangellia composite terrane to North America.
On computational Poisson geometry I: Symbolic foundations
Authors: Evangelista-Alvarado Miguel Ángel , Ruíz-Pantaleón José Crispín , Suárez-Serrato Pablo
Published: August 2021

We present a computational toolkit for (local) Poisson-Nijenhuis calculus on manifolds. Our Python module $\textsf{PoissonGeometry}$ implements our algorithms and accompanies this paper. Examples of how our methods can be used are explained, including gauge transformations of Poisson bivector in dimension 3, parametric Poisson bivector fields in dimension 4, and Hamiltonian vector fields of parametric families of Poisson bivectors in dimension 6.
A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images
Authors: Wang Zijian ,   School of Computer Science and Technology, Donghua University, Shanghai 200000, China, Zhu Yaqin , Shi Haibo , Zhang Yanting , Yan Cairong ,   School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai 200000, China
Published: August 2021

Computer Assisted Diagnosis (CAD) based on brain Magnetic Resonance Imaging (MRI) is a popular research field for the computer science and medical engineering. Traditional machine learning and deep learning methods were employed in the classification of brain MRI images in the previous studies. However, the current algorithms rarely take into consideration the influence of multi-scale brain connectivity disorders on some mental diseases. To improve this defect, a deep learning structure was proposed based on MRI images, which was designed to consider the brain's connections at different sizes and the attention of connections. In this work, a Multiscale View (MV) module was proposed, which was designed to detect multi-scale brain network disorders. On the basis of the MV module, the path attention module was also proposed to simulate the attention selection of the parallel paths in the MV module. Based on the two modules, we proposed a 3D Multiscale View Convolutional Neural Network with Attention (3D MVA-CNN) for classification of MRI images for mental disease. The proposed method outperformed the previous 3D CNN structures in the structural MRI data of ADHD-200 and the functional MRI data of schizophrenia. Finally, we also proposed a preliminary framework for clinical application using 3D CNN, and discussed its limitations on data accessing and reliability. This work promoted the assisted diagnosis of mental diseases based on deep learning and provided a novel 3D CNN method based on MRI data.
KAKO ZAKONSKI REGULIRATI OBITELJSKU GRUPNU KONFERENCIJU U HRVATSKOJ?
Authors: Aras Kramar Slađana
Published: August 2021

HOW TO REGULATE THE FAMILY GROUP CONFERENCE IN CROATIA Taking into account the proclaimed aim of the Strategic Plan of the Ministry of Demography, Family, Youth and Social Policy 2019 − 2021, namely, social empowerment and protection of families, children and young people through enhancing family protection and supporting families at risk as a preventive measure of institutionalisation, this paper seeks to discuss the question of how law and legal forms can be used to strengthen families at risk, activate their resources, create a family group network and plan to address family law conflicts of interest and problems. This is done through determining and analysing the procedure and principles of a family group conference, as an alternative to the administrative and/or judicial one in matters of family law and social protection of children and families. For the purpose of reflection and projection, de lege ferenda, on the family group conference in the field of (administrative and judicial) family law and social protection of family members in Croatia, the New Zealand family group conference model, as a starting point for the development of this procedure, and certain European comparative law systems and good practices (the United Kingdom, the Netherlands, Norway) are analysed and discussed in the paper. In particular, open questions about the »right« to the family group conference, the assessment and criteria for referring family members to the conference, including the fact of initiation of the court procedure or if the proceedings are already pending, as well as the legal force or effectiveness of the plans achieved in the family group conference will be discussed. Key words: family group conference; child, family; social welfare center; court
STAVOVI PREMA OSOBAMA S POTEŠKOĆAMA MENTALNOG ZDRAVLJA
Authors: Petak Ana , Narić Sanja , Matković Roberta
Published: August 2021

ATTITUDES TOWARD PEOPLE WITH MENTAL HEALTH DIFFICULTIES The implementation of modern approaches that seek to deinstitutionalize traditional psychiatric services is hampered by unfavorable attitudes of the community towards people with mental disabilities. Stigma is one of the most important factors that delay seeking help and negatively affects the quality of life of people with mental health problems. The research was conducted to describe attitudes towards people with mental health problems and determine their relationship with socio-demographic variables, information, and personal experience with mental health problems. There were 108 participants aged 21 to 59 (71% female, 64.5% college and university degrees). The Community Attitudes toward Mental Illness scale (CAMI) (Taylor & Dear, 1981) and a survey questionnaire were used online. Participants have generally benevolent attitudes toward all dimensions of the scale. Higher self-assessment of knowledge about mental health problems leads to more favorable attitudes towards authoritarianism, and younger age to less social restraint. Participants with a high school diploma have more negative attitudes towards the dimensions of authoritarianism and benevolence than participants with a university degree. There are no significant differences in attitudes regarding the experience of seeking mental health support, but on the authoritarian dimension, there is a significant interaction effect of being informed and mental health support seeking. The results indicate the importance of further research into the relationship between attitudes and mental health support seeking and the level of being informed on mental health issues. Key words: mental health; mental health difficulties; attitudes; stigmatization
PRUŽANJE SOCIJALNIH USLUGA DJECI S TEŠKOĆAMA U RAZVOJU: ULOGA SOCIJALNOG RADNIKA ZAPOSLENOG U USTANOVI SOCIJALNE SKRBI
Authors: Filipaj Ada , Buljevac Marko
Published: August 2021

PROVIDING SOCIAL SERVICES TO CHILDREN WITH DEVELOPMENTAL DISABILITIES: THE ROLE OF A SOCIAL WORKER EMPLOYED IN A SOCIAL WELFARE INSTITUTION The aim of this paper is to present social worker’s job in social facility for children with developmental disabilities. The work of a social worker is described through its parts: work with users, work with user’s families, cooperation with various formal support providers, counselling, and finally social worker as a member of the professional team. These parts of the work are described and problematized. In the last part of this paper, the most common problems faced by social worker in his daily work are problematized. Key words: social work with families of children with developmental disabilities; social work in social facilities; social worker job description
A Blended Grammar Learning System Featuring Unsupervised Pattern Discovery
Authors: Yan Hengbin , Li Yinghui
Published: August 2021

Recent developments in cognitive and psycholinguistic research postulate that language learning is essentially the learning of grammatical construc-tions. An important type of grammatical construction with wide-ranging pedagogical implications is grammar patterns as laid out in Pattern Gram-mar. While grammar patterns have seen increasing adoption in language pedagogy, existing applications typically follow a paper-based, teacher-centered approach to instruction, which is known to be less effective in grammar learning than blended, learner-centered approaches.

In this paper, we propose a blended learning model that integrates web-based technology with classroom-based instruction to facilitate efficient, personalized grammar learning. We present the design and implementation of a blended grammar learning system that provides customizable learning materials for individual learners by discovering important grammar patterns from corpora in an unsupervised manner. Preliminary evaluation shows that the proposed system achieves an accuracy in pattern discovery comparable to systems that rely on manually precompiled pattern lists and hard-coded rules. With a flexible architecture and an easy-to-use interface, the system can play a key role in the creation of a blended learning environment that can be integrated into a wide range of language learning curricula.
Intelligent Mobile Coronavirus Recognition Centre Based on IEEE 802.15.4
Authors: Alzahrani Abdulkareem , M Ali Alheeti Khattab , Salah Thabit Samer , Al_Dosary Duaa , Shaban Al-Ani Muzhir
Published: August 2021

The novel coronavirus (COVID-19) has become widespread around the world. It started in Wuhan, China, and has since spread rapidly among people living in other countries. Hence, the World Health Organization has considered COVID-19 as a pandemic that threatens millions of people’s lives. Due to the high number of infected people, many hospitals have been facing critical issues in providing the required medical services. For instance, some clinical centers have been unable to provide one of the most important medical services, namely blood tests to determine whether an individual is infected with COVID-19. Therefore, it is important to present an alternative diagnosis option to prevent the further spread of COVID-19. In this paper, a proposed intelligent detection communication system (IDCS) is configured for distributed mobile clinical centers to control the pandemic. In addition, the intelligent system is integrated with the Zigbee communication protocol to build a mobile COVID-19 detection system. The proposed system was trained on X-ray COVID-19 lung images used to identify infected people. The Zigbee protocol and decision tree algorithm were used to design the IDCS. The results of the proposed system show high accuracy 94.69% and accept results according to the performance measurements.
Novice Programming Environments
Authors: Good Judith
Published: August 2021

In 2011, the author published an article that looked at the state of the art in novice programming environments. At the time, there had been an increase in the number of programming environments that were freely available for use by novice programmers, particularly children and young people. What was interesting was that they offered a relatively sophisticated set of development and support features within motivating and engaging environments, where programming could be seen as a means to a creative end, rather than an end in itself. Furthermore, these environments incorporated support for the social and collaborative aspects of learning. The article considered five environments—Scratch, Alice, Looking Glass, Greenfoot, and Flip—examining their characteristics and investigating the opportunities they might offer to educators and learners alike. It also considered the broader implications of such environments for both teaching and research. In this chapter, the author revisits the same five environments, looking at how they have changed in the intervening years. She considers their evolution in relation to changes in the field more broadly (e.g., an increased focus on “programming for all”) and reflects on the implications for teaching, as well as research and further development.
Examining the Current Definitions of Computational Thinking
Authors: Demir Kadir , Çaka Cansu , Yaman Nihal Dulkadir , İslamoğlu Hakan , Kuzu Abdullah
Published: August 2021

Computational thinking involves understanding human behavior, designing systems and solving problems by applying the mental tools that reflect the computer science and basic concepts. Development of frameworks of computational thinking helps integrate computational thinking into education and daily life. It is important for students to start using the computational methods and tools as well as algorithmic problem solving in their educations from kindergarten level to university level. Importance of training on programming at early age was explained. In addition, the current situation of programming in education in the world was reviewed. Then curricula and projects in different countries were summarized. It is necessary to start studies at an early age to help individuals acquire these skills.
Teaching How to Think Like a Programmer
Authors: Kalelioğlu Filiz , Gülbahar Yasemin , Doğan Dilek
Published: August 2021

This chapter aims to provide a general description of the preferred pedagogical approaches for the delivery and practice of computer science education based on a review of the literature. Pedagogical approaches mainly used in the teaching of computer science are unplugged activities, robotics programming, block-based or initial programming environments and cross-curricular activities. The preference of these pedagogical approaches varies according to the learners' age and level. Whilst all of these approaches can be used for all ages, some are aimed more at the beginner level than others. The benefits of using each of these approaches will be discussed in this chapter by way of considering educational tips.
A Pedagogical Model to Integrate Computational Thinking Logic to First Year Design Studio
Authors: Güzelci Orkan Zeynel , Çetinel Meltem
Published: August 2021

Today, computational thinking and computational design approaches transform almost all stages of architectural practice and education. In this context, since students are most likely to encounter computers, in this study, the approach of teaching students computational design logic is adopted instead of teaching how to use computers only as a drafting or representation tool. This study focuses on developing a pedagogical model that aims to teach computational thinking logic and analog computing through a design process. The proposed model consists of four modules as follows: abstraction of music and text (Module 1), decomposition of buildings (Module 2), analysis of body-space (Module 3), design of a space by the help of spatial patterns (Module 4). The proposed model is applied to first-year students in Interior Design Studio in the 2019-2020 fall semester. As a result of Module 4, students designed both anticipated and unanticipated spaces in an algorithmic way.
Automating the Assessment of Algorithms and Programming Concepts in App Inventor Projects in Middle School
Authors: Alves Nathalia da Cruz , Gresse von Wangenheim Christiane , Hauck Jean C. R. , Borgatto Adriano F.
Published: August 2021

As computer science education makes its way into schools, diverse initiatives worldwide promote computer science education in K-12, often focusing on teaching algorithms and programming with block-based programming languages such as Scratch or App Inventor. However, alternatives to assess the learning of computer science concepts on this educational stage are still scarce. This chapter presents an automated rubric for assessing algorithms and programming concepts of App Inventor projects at middle school level. The assessment is based on a rubric proposed in alignment with the K-12 Computer Science Framework with satisfactory reliability and validity. The rubric has been automated through a web-based system that allows assessing App Inventor projects through static code analysis. As a result, it can support computer science education in practice providing feedback to students and teachers.
Is the use of Makey Makey Helpful to Teach Programming Concepts to Primary Education Students?
Authors: Pérez-Marín Diana , Hijón-Neira Raquel , Romero Ainhoa , Cruz Silvia
Published: August 2021

New computer devices such as Makey Makey are proposed for children in primary education to learn computer programming. That way, students can interact with the computer with any conductive material, such as fruits or Play-Doh. The research question is whether playing with fruits as interactive devices can help primary education students learn concepts of computer programming. An experiment has been performed to answer the question with 62 primary education children. The results gathered provide significant evidence that students can learn more without using the fruits. Psychological factors may explain these results.
Educational Robotics for Creating Effective Computer Science Learning for All
Authors: Eguchi Amy
Published: August 2021

President Obama's initiative, “computer science for all,” has been a rallying slogan for promoting computer science in K-12 education. Although the participation of people of color in computer science (CS) has increased in the past several years, it is still drastically low and does not reflect the real picture of our society. This chapter explores how educational robotics as a learning tool can inspire underrepresented minorities including females and students of color to become interested in CS. Supported by Papert's constructionism theory, educational robotics effectively facilitates students' learning of various concepts in CS and STEM. Educational robotics is a learning tool which inspires students' interest in learning. It provides a learning environment that promotes students' learning of various CS concepts and computational thinking skills. Although robots naturally spark students' interests, to make it most effective, teachers are required effortfully to create learning opportunities that are authentic and meaningful for individual students.
Educational Robotics in Primary Education
Authors: Kyriazopoulos Ioannis , Koutromanos George , Voudouri Aggeliki , Galani Apostolia
Published: August 2021

The purpose of this chapter is to review the literature referring to the utilization of educational robotics (ER) in primary education. Keyword-based search in particular bibliographic databases returned 21 journal papers for the eight-year period of 2012-2019. The factors that were studied in each of them are as follows: learning environment, area of knowledge/course subjects, pedagogical framework, learning activities, robotic equipment, research methodology, and main findings. The outcomes, among other things, showed that the majority of ER activities took place in a formal learning environment and that ER is appropriate for teaching subjects of STEM education. Though many researches took into account various learning theories that support collaboration, problem-solving, discovery, and construction of knowledge, there were some researches that lacked any pedagogical framework. In spite of the positive cognitive and affective outcomes of ER in learning, there are aspects that require further investigation.
Exploring Preservice Teachers' Attitudes About the Usage of Educational Robotics in Preschool Education
Authors: Papadakis Stamatios , Kalogiannakis Michail
Published: August 2021

Educational robotics have become popular worldwide with a broad range of students, including preschoolers. Although the impact of robotics technology in classrooms has been extensively studied, less is known about preschool teachers' perceptions of how robotics technology impacts learning and its relation to use in the classroom. This is problematic since we know that teachers' perceptions have a great influence on their teaching practices. This study used survey data gathered from 102 students of the Department of Preschool Education in a University in Greece. A questionnaire developed by the researchers were used as data collection tool. At the end of the study, it was determined that preservice preschool teachers' attitudes about educational robotics usage in preschool classrooms were positive although they lack in relevant knowledge. These findings are discussed with respect to their educational implications.
Analysis of Bluetooth Versions (4.0, 4.2, 5, 5.1, and 5.2) for IoT Applications
Authors: Padiya S. D. , Gulhane V. S.
Published: August 2021

IoT includes many sensors that have to collect the data and send it to the superior nodes; for such interaction between the IoT devices, various wireless technologies are available, like infrared, Li-Fi, WI-Fi, Zigbee, Bluetooth, etc. Among all the available, Bluetooth proved the most promising short-range wireless communication technology due to various factors. To fulfil the increasing demand for wireless connectivity, the Bluetooth SIG must continuously perform up-gradation. Here, analysis of Bluetooth versions are discussed based on the characteristics such as speed, bandwidth, range, power, message capacity, beacon provision, compatibility, reliability, errors detection, correction capability, advertisement packets, duty cycle, slot availability masks, and many more. This analysis concluded that all the versions have their own set of merits and limitations. For the basic IoT applications (limited functionalities), Bluetooth 4.0/4.2 is a good choice, while for the complex IoT applications (advance functionalities), Bluetooth 5/ 5.1/ 5.2 is better.
PBIS in Schools
Authors: Ervin Donna L.
Published: August 2021

Educational leaders have implemented positive behavior interventions and supports (PBIS) in schools across the nation to address behavior competence. Most educators have witnessed the evidence of its success in both managing behavior and improving academic outcomes. PBIS is a framework that incorporates evidence-based practices to support students by addressing their mental health and social/emotional needs. Using a culturally relevant and trauma-informed approach, PBIS can help support Students of Color, disciplinary sanctions, and the penal system. The proactive framework has been around for more than 20 years, teaching students behavioral expectations and reinforcing their positive actions. Despite this empirical approach, some teachers remain in favor of the punitive way of disciplining students. In contrast, others have adapted their mindsets to embrace rethinking discipline as a teaching opportunity like learning to read and write. These teachers agree with many scholars that social behavior is learned.
Posttraumatic Growth
Authors: Branson Dana C.
Published: August 2021

The purpose of this chapter is to provide the reader with an understanding of how trauma can set up challenges and obstacles to student academic success and realistic responses by educators and schools to assist students. The chapter begins with an overview of the adverse childhood experiences (ACE) study by Felitti et al. and explores the correlations between experienced childhood trauma and negative medical and social problems. The chapter will discuss the neurologic changes that can occur from childhood trauma and/or toxic stress and the common behavioral manifestations that create educational problems for students. The chapter will discuss the need for school social workers, as they can provide significant benefits to struggling students, educators, and school administrators. Additionally, the use of posttraumatic growth techniques to increase efficiency in classroom behavior, curriculum mastery, and lifelong coping will be discussed with final ideas proposing future research needs.
An Improved Deep Learning Algorithm for Diabetes Prediction
Authors: Mallikarjuna Basetty , Addanke Supriya , D. J. Anusha
Published: August 2021

This chapter introduces the novel approach in deep learning for diabetes prediction. The related work described the various ML algorithms in the field of diabetic prediction that has been used for early detection and post examination of the diabetic prediction. It proposed the Jaya-Tree algorithm, which is updated as per the existing random forest algorithm, and it is used to classify the two parameters named as the ‘Jaya' and ‘Apajaya'. The results described that Pima Indian diabetes dataset 2020 (PIS) predicts diabetes and obtained 97% accuracy.
Medicinal Plant Identification Using Machine Learning Techniques
Authors: C. S. Udaya , M. Usharani
Published: August 2021

In this world there are thousands of plant species available, and plants have medicinal values. Medicinal plants play a very active role in healthcare traditions. Ayurveda is one of the oldest systems of medicinal science that is used even today. So proper identification of the medicinal plants has major benefits for not only manufacturing medicines but also for forest department peoples, life scientists, physicians, medication laboratories, government, and the public. The manual method is good for identifying plants easily, but is usually done by the skilled practitioners who have achieved expertise in this field. However, it is time consuming. There may be chances to misidentification, which leads to certain side effects and may lead to serious problems. This chapter focuses on creation of image dataset by using a mobile-based tool for image acquisition, which helps to capture the structured images, and reduces the effort of data cleaning. This chapter also suggests that by ANN, CNN, or PNN classifier, the classification can be done accurately.
Enhanced PMF Model to Predict User Interest for Web API Recommendation
Authors: Ramathulasi T. , Rajasekhar Babu M.
Published: August 2021

Many methods focus solely on the relationship between the API and the user and fail to capture their contextual value. Because of this, they could not get better accuracy. The accuracy of the API recommendation can be improved by considering the effect of API contextual information on their latent attribute and the effect of the user time factor on the latent attribute of the user through the deep learning-based matrix factorization method (DL-PMF). In this chapter, a CNN (convolutional neural network) with an attention mechanism for the hidden features of web API elements and an LSTM (long-term and short-term memory) network is introduced to find the hidden features of service users. Finally, the authors combined PMF (probabilistic matrix factorization) to estimate the value of the recommended results. Experimental results obtained by the DL-PMF method show better than the experimental results obtained by the PMF and the ConvMF (convolutional matrix factorization) method in the recommended accuracy.
The Benefits and Limitations of Telemedicine During COVID-19
Authors: Depuru Bharathi , Subramanyam Shanthi Sree Kolaru , Anchapakala Suvarna Latha , Pydipati Lakshmi Padmavathi
Published: August 2021

Telehealth is effective in preventing, treating, and taking precautions to avoid spreading of coronavirus. Telehealth allows people with symptoms to stay at home by helping them to communicate with doctors through the internet. This decreases the spreading of corona virus to large number of people and hospital staff. But when it comes to treatment of patients, telemedicine does have some limitations. Medicines given through telemedicine may not be consistent to patients who have chronic disorders and makes the patients' conditions serious, which leads them to hospitalization. The most significant limitation of telemedicine is that some hospitals do not have equipment to deliver care in this manner. In the present situation of COVID-19, the existing telemedicine has to be modified for helping quick testing and to diagnose the infection to take care of the patients. Hence, some of the benefits and limitations of telemedicine have been summarized.
Assessment of Electric Consumption Forecast Using Machine Learning and Deep Learning Models for the Industrial Sector
Authors: Dhupia Bhawna , Rani M. Usha
Published: August 2021

Power demand forecasting is one of the fields which is gaining popularity for researchers. Although machine learning models are being used for prediction in various fields, they need to upgrade to increase accuracy and stability. With the rapid development of AI technology, deep learning (DL) is being recommended by many authors in their studies. The core objective of the chapter is to employ the smart meter's data for energy forecasting in the industrial sector. In this chapter, the author will be implementing popular power demand forecasting models from machine learning and compare the results of the best-fitted machine learning (ML) model with a deep learning model, long short-term memory based on RNN (LSTM-RNN). RNN model has vanishing gradient issue, which slows down the training in the early layers of the network. LSTM-RNN is the advanced model which take care of vanishing gradient problem. The performance evaluation metric to compare the superiority of the model will be R2, mean square error (MSE), root means square error (RMSE), and mean absolute error (MAE).
Practical Approach for Apps Design in Compliance With Accessibility, Usability, and User Experience
Authors: Almeida Fernando , Bernardo Nuno , Lacerda Rúben
Published: August 2021

There is a huge proliferation of digital products on the market today for both large enterprises and small businesses. Most of these companies have experienced the development of software products for the mobile market and have been faced with the major challenge of capturing the customer's attention. There is a great focus on making a great first impact and providing the audience with the best possible digital experience. Accordingly, issues related to usability, accessibility, and user experience are extremely relevant. This chapter addresses how these practices can be used in practice by building an app that offers car cleaning services. Several approaches based on building app interfaces that increase user engagement and retention levels are explored and discussed.
Accessibility Evaluation of Turkish E-Commerce Websites
Authors: Akgül Yakup
Published: August 2021

Disabled people encounter many barriers while attempting to access the services on the web. E-commerce websites have been also intensively and widely used. The e-commerce market in Turkey will hit TL 400 billion by 2021. It also evaluates the accessibility of 10 popular Turkish e-commerce websites using five accessibility testing tools, namely Achecker, TAW, Eval Access, MAUVE, and FAE. This research has found that most accessibility guidelines are covered by A checker tool. Navigation, readability, input assistance, and timing are the common found accessibility problems while assessing the accessibility of the targeted websites.
Fully Extending the Learning Ecosystem Analogy
Authors: Letcher Robert
Published: August 2021

The biological ecosystem is a common conceptual model used to describe the organization and interplay of elements in many systems, including learning systems. However, the analogy is rarely fully extended to all components of the original biological model. This chapter fully extends the ecosystem analogy for use in describing a modern learning ecosystem, including those parallels most often left absent. It also provides examples as to how extending these analogies can aid learning engineers and scholars to better understand, diagnose, and design effective learning models. Throughout, this modern learning ecosystem analogy will be applied to an online public school learning model.
Sustainable Learning Through Curriculum Integration and Responsive Teaching
Authors: Osae Christine A.
Published: August 2021

One of the principal challenges the education system faces presently is the discrepancy between what is learnt in class and the reality outside class. Due to the constant changes and rapid transformation in the world today, most students are undoubtedly training for jobs that may not exist when they finally graduate. How can educators prepare students for such a diverse and dynamic world? What does it take to produce highly innovative graduates that creatively apply outside-the-box solutions (locally rooted and globally scalable) to the world's most pressing issues? This chapter recommends an approach to education that focuses on learning as a process that creates both lifelong and life-wide learners as opposed to rote learners whose success is dependent on their ability to regurgitate content. The chapter demonstrates how Davis College and Akilah promotes sustainable learning through integration and responsive teaching and how the faculty development process plays a key role in this.
Intentional Connection
Authors: Hughes Romana , Marshall Kate
Published: August 2021

This chapter details how learning-based course design promotes meaningful student connections with course content, course goals, and connections with peers, faculty, and student self-awareness. No matter the modality, the learning-based course design model provides a pathway for faculty and instructional designers to use backward design to create courses that embrace significant learning, valuable practice, and feedback opportunities. With an emphasis on authentic activities that are aligned to learning outcomes, learning-based course design avoids busywork and reduces rote memorization of facts and figures. Educational technologies can strengthen the faculty and student course experience, provided that these are purposefully integrated into the course. Courses designed with close attention to student learning provide skill growth that strengthens students' professional lives. Course feedback data allows faculty to refine the course and programs and institutions to develop stronger alignment to their stated goals.
The Digital-Forward Writing Course
Authors: Kadel Robert S. , Garn Myk , Vignare Karen K.
Published: August 2021

First-year writing and composition courses can be major roadblocks for students as their success in later courses often hinges on their abilities to construct a quality written document. Students enter composition courses with broad variation in their abilities and yet must all meet the same standards of completion. In order to address this inequity, greater opportunities for writing and in receiving feedback are paramount. Yet such opportunities would place a high burden on writing instructors in a traditional course. This chapter proposes the digital-forward writing course that draws on a combination of a number of digital tools and pedagogical strategies that can increase writing opportunities while maintaining or even reducing instructors' time commitment. This information is drawn from a workshop held in 2020 that asked writing instructors, instructional designers, developers, and other educators to ideate on meeting the challenges of the entire student writing journey. Specific tools and a discussion of the value of adaptive courseware are included.
Authentic Research, Teaching, Events, and Assessments for Economic Prosperity
Authors: Decker Cassandra R. , Decker Merci
Published: August 2021

Responsive research serves as an alternative platform to address issues of human rights violations, ACEs, structural violence, and systemic poverty in particular as it relates to educational opportunities. This chapter identifies four step-by-step processes that can be used when conducting community-led research and education. Activist anthropology, studying up, studying through, and financial implications of debt foreground earlier efforts made by anthropologists to use their research as a way to examine how policy decisions shape cultural practices and impact the livelihood of specific communities. These efforts are expanded upon by examining the controversy, pitfalls, and rewards found within the epistemological paradigms and research methodologies. The second half of the chapter identifies four pathways researchers can use when engaging in activist anthropology: teaching to a goal; responsive mapping to uncover mystical barriers; community building as the goal for focus groups, interviews, and surveys; and responsive programs and events.
The Modeling of the Capacity of the Moroccan Healthcare System in the Context of COVID-19
Authors: Merzouki Mohamed , Bentahir Mostafa , Chigr Fatiha , Najimi Mohamed , Gala Jean-Luc
Published: August 2021

The outbreak of SARS-Cov2 in China and its subsequent spread has caused a global pandemic. The authors conducted a simple susceptible-infected (SI) model of the spread of COVID-19 in Moroccan population. The model is based on combining the average contact rate (µmax) extracted from the early exponential phase of the outbreak with a logistic simulation over time. Interestingly, this modeling approach showed a perfect fit with a strong correlation between real confirmed and estimated cases when calibrated on the Chinese declining outbreak. Subsequently, the model was applied for studying the ongoing COVID-19 outbreak in Morocco to determine the needed time for reaching 10,000 confirmed cases whose 15% (1,500) are at risk of developing health complications requiring patient care in hospitals. The latter total capacity does not exceed 1,640 beds according to the authorities. Incorporating these parameters in the logistic model, they predicted that the Moroccan healthcare system will be at 27%, 50%, 76%, and 90% of saturation on April 11, 16, 23, and May 4, 2020, respectively.
Viral Infection of the Reproductive System in Times of COVID-19
Authors: Kahloula Khaled , Adli Djallal Eddine Houari , Zouhairi Nadia , Ziani Kaddour , Slimani Miloud , Arabi Wafaa , Aimrane Abdelmohcine , El Baz Soraia , Draoui Ahmed , Echchakery Mohamed , Bitar Abdelali
Published: August 2021

Coronavirus (SARS-COV2) caused several deaths worldwide. This virus infects the target cell by binding to angiotensin-converting enzymes 2 (ACE2) receptor through its receptor-binding domain (RBD) and replicates. Thus, a high level of ACE2 expression is detected in the testicular cells so that the testis is believed to count as a potential target for direct damage by COVID-19. Moreover, the possibility of testicular damage may be caused by either direct viral invasion through interaction with ACE2 receptors or because of inflammatory response. Similarly, in women, literature reported the distribution and function of ACE2 in the female reproductive system, which is widely expressed in the ovary, uterus, vagina, and placenta. It regulates follicular development and ovulation, modulates luteal angiogenesis and degeneration, and influences regular changes in endometrial tissue and embryo development. Taking these functions into account, COVID-19 may disturb the female reproductive functions through regulating ACE2, resulting in infertility, menstrual disorder, and fetal distress.