bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of the Cooperative Course Review Hooray Learning Model on Students’ Learning Outcomes
Authors: Faheem Sezh , Uzeir Dabuos , Yacub Baliwal
Published: August 2021

This study aims to investigate the effect of Cooperative Course Review Horay learning model on students learning outcome. The study uses true experimental design. Description: This research will use descriptive and inferential statistics to quantitatively analyze learning outcomes, with the latter being the primary method of analysis. To describe the scores of the research sample for each variable, a descriptive statistical analysis was carried out to determine their distribution. The findings indicate that Cooperative Course Review is beneficial. The Horay learning method provides great outcomes in terms of student learning. Despite the fact that the average score for the experimental group is 85.20 points, it is the median score for the experimental group that stands at 90 points. The control class has a standard deviation of 62.80 points and a median of 60.00 points, both of which are positive values
Application of the Demonstration Method to Improve Concept Understanding and Learning Activities of Students in Physics Subjects
Authors: Ozuho Simun , Zhadiq Sehou , Tharem Iwuela
Published: August 2021

Using the demonstration technique in conjunction with physics instruction, the purpose of this research is to improve students' comprehension of their ideas. Classroom action research is used in this study, and it is divided into two cycles, with each cycle consisting of six sessions each cycle. It is necessary to prepare ahead, take activities, observe and reflect as part of the research process. Based on the findings, students' comprehension of physics topics improved when they were taught using the demonstrative approach. Cycle I students' understanding score averaged 67 points with a standard deviation of 14.92, while the second cycle students' understanding score averaged 79 points with a standard deviation of 9.84. Students' understanding score increased in both cycles I and II, with the average value of 67 points and the standard deviation of 14.92. On the basis of the study's findings, it is possible to infer that the use of physics learning using the demonstration technique has improved students' comprehension of topics in physics
Monocyte to HDL Ratio in The Prediction of Carotid Artery Intima-Media Thickness
Authors: ABUŞ Sabri , AKTÜRK Erdal
Published: August 2021

Aim: In this study, we aimed to determine whether an increased monocyte count to high-density lipoprotein (MHR) would predict increased carotid intima-media thickness (IMT). Material and Method: All consecutive subjects presenting to the cardiology outpatient clinic of our institute were enrolled in this cross-sectional study. Subjects with cardiovascular and inflammatory diseases were excluded. Subjects were divided into two groups according to carotid IMT: those with carotid IMT >0.9 mm (increased) and those with carotid IMT ≤0.9 mm (normal). The difference in MHR between the two groups was the primary outcome measure of the study.Results: The MHR of the subjects with increased IMT was significantly higher than that of subjects with normal IMT (16.7 ± 5.7 vs. 12.8 ± 5.5, p <0.001). Logistic regression analysis demonstrated that age (OR: 1.202, 95% CI: 1.126-1.284, p<0.001) and MHR (OR: 1.190, 95% CI: 1.097-1.291, p<0.001) were significant predictors for a carotid IMT of >0.9 mm. ROC curve analysis revealed an MHR value of 13.4 as a cut-off in the identification of subjects that had increased IMT, with a sensitivity of 72% and specificity of 60.7%.Conclusion: The inflammation marker MHR can be used as a simple and cost-effective marker to predict increased carotid IMT which is accepted as the indicator of subclinical atherosclerosis.
Comparison of Auxiliary Diagnostic Methods in Pulmonary Embolism
Authors: EKMEKYAPAR Muhammed , ŞAHİN Levent , GÜRBÜZ Şükrü
Published: August 2021

Aim: We investigated the importance of auxiliary diagnostic methods in cases when computed tomography pulmonary angiography (CTPA) cannot be used in pulmonary embolism (PE) with a high mortality rate.Materials and Methods: Patients were selected after the exclusion criteria were applied in a sample created from a single center. A total of 86 patients included in our study were examined in terms of clinical features, auxiliary diagnostic methods, anticoagulant use, and hospitalization and discharge status according to the massive or segmental involvement of PE in CTPA.Results: The mean age of the patients was 52.29±14.14 years. According to the CTPA results, there were 46 (53.5%) patients with massive involvement and 40 (46.5%) patients with segmental involvement. While there were 38 (82.6%) patients with massive involvement whose right chambers of the heart were dilated in echocardiography (ECHO) results, there were 19 (47.5%) patients with segmental involvement. There was a statistical significance between the massive involvement of CTPA and ECHO result (p=0.001).Conclusion: ECHO may be preferred as an auxiliary radiological method in the diagnosis of PE in emergency departments (ED), especially in massive embolisms.
Discovery of a Low-mass Comoving System Using NOIRLab Source Catalog DR2
Authors: Kiwy Frank , Faherty Jacqueline , Meisner Aaron , Schneider Adam C. , Kuchner Marc , Kirkpatrick J. Davy ,   The Backyard Worlds: Planet 9 Collaboration
Published: August 2021

We present the discovery of a low-mass comoving system found by means of the NOIRLab Source Catalog DR2. The system consists of the high proper-motion star LEHPM 5005 and an ultracool companion 2MASS J22410186-4500298 with an estimated spectral type of L2. The primary (LEHPM 5005) is likely a mid-M dwarf but over-luminous for its color, indicating a possible close equal mass binary. According to the Gaia EDR3 parallax of the primary, the system is located at a distance of 58 ± 2 pc. We calculated an angular separation of 7.″2 between both components, resulting in a projected physical separation of 418 au.
The Effect of Tiwari Onion (Eleutherine americana Merr) Tablet on Blood Pressure Stability in Diagnosed Hypertension Patients
Authors: Warastuti Widya
Published: August 2021

BACKGROUND: Non-pharmacological management is carried out by adjusting the lifestyle and non-pharmacological therapy for hypertension sufferers. They use herbal therapy, which is believed to have low side effects, easy, and inexpensive, such as Eleutherine americana Merr Tea.

AIM: This study aimed to analyze Effect of E. americana Merr Tablet on blood pressure in hypertensive patients to be used as supportive therapy to reduce and stabilize blood pressure.

METHODS: This study used a quasi-experimental research design pre-post-test with a control group design, involving 30 respondents. Data collection was carried out for 1 month. Then blood pressure observations were carried out every 1 week for a month after giving E. americana tablets. The sampling technique was purposive sampling method. The data analysis used was the Independent Sample T-Test with a significance level of p < 0.05.

RESULTS: The majority of respondents according to age were in the final elderly age range; 15 people (50%) were 56–65 years old. Most of the respondents involved were female, about 18 people (60%). The respondents’ hypertension category included hypertension Grade 1 (57%) and hypertension Grade II (43%). The independent sample t-test obtained p = systole was 0.029 and diastole was 0.000 (p < 0.005). It showed a significant difference in blood pressure before and after being given E. americana tablets in hypertensive patients.

CONCLUSION: Significant decrease in systolic and diastolic blood pressure in patients with suspected hypertension who obtained E. americana tablets.
The Epidemiology of Knee Arthroscopy during Coronavirus Disease 2019 Pandemic
Authors: Santoso Asep , Anwar Iwan Budiwan , Sibarani Tangkas SMHS , Utomo Pamudji , Arimukti Zarkasyi , Yudistiro Ibnu , Hamid Muhammad Abdul
Published: August 2021

Introduction: Coronavirus disease (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus (SARS Cov-2) has made a huge impact on global health service including in orthopaedic surgical service. Knee surgery (including arthroscopy) is one of the emerging surgical services in Indonesia. As the pandemic goes on, some of the patients prefer to postpone or cancel the surgery planning. We tried to evaluate the epidemiology of knee arthroscopy procedure during Covid-19 pandemic at our institution.
Material and methods: Retrospective data collection was performed on all patients who received knee arthroscopy procedure at Prof dr. R. Soeharso Orthopaedic Hospital, Surakarta, Indonesia during the year 2020. The study evaluated the demographic data, the indication of surgery, and trends of the number of surgeries according to period time. This study also compared the data of knee arthroscopy procedures performed during the corresponding period before the pandemic in Indonesia (January to December 2019).
Results: There was a total of 88 knee arthroscopy surgery performed during the period January to December 2020. There was a decrease in the number of knee arthroscopy during April and May 2020.  The decreasing number of surgeries also occurred in November 2020 which was later followed by the increasing number of surgeries in December 2020. Among all patient received knee arthroscopy during 2020, none have post-operative complication or infection due to SARS Cov-2.
Conclusion: There was some difference in the epidemiology of knee arthroscopy during the COVID-19 pandemic compared to the non-pandemic era. Comprehensive preoperative screening is needed before resume elective surgical service.
Assessment of Infection Control Measures at Primary Health Care Facilities in Egypt
Authors: Rizk Hoda Ibrahim Ibrahim , EL-Raghi Hanan Abd-Elghani , Zein Marwa M.
Published: August 2021

BACKGROUND: Primary care facilities (primary health cares [PHCs]) in Egypt are public sector facilities and the issue of infection control (IC) in public sector facilities is important because public sector facilities are the only option available to most low-income groups, who constitute most of Egypt’s population.

AIM: The aim of the study is to the assessment of IC measures in PHC by national and international assessment tools.

STUDY DESIGN: Health system operation research, observational study.

METHODOLOGY: Sample: 3 Egyptian PHCs, all health care providers (HCPs) in each facility were interviewed with a total number (55 doctors and 34 nurses). using a national assessment tool, interview questionnaire derived from the international assessment tool, and hand hygiene observation checklist.

RESULTS: Although the availability of supplies, presence of administrative activities, and good infrastructure, items related to manpower practice (cleaning activities and procedures) had the lowest percent score (57.9% and 68.5%, respectively). Almost all doctors and nurses did not have a pre-employment tuberculin skin test. Hand hygiene compliance was very low among HCPs during the observation time (1.6% for doctors and 10% for nurses).

CONCLUSION: The national IC assessment tool of PHC facilities in Egypt is well structured, but defective in the assessment of employee health activities related to IC. Tuberculin skin test as screening of tuberculosis for the HCPs is neither done pre-employment nor periodically. Despite the availability of supplies for hand hygiene practice and good IC knowledge, the compliance was very low during the observation time.
Industry 5.0: Ethereum blockchain technology based DApp smart contract
Authors: Rupa Ch. ,   Department of Computer Science and Engineering, Lincoln University College, Malaysia, Midhunchakkaravarthy Divya , Kamrul Hasan Mohammad , Alhumyani Hesham , Saeed Rashid A. ,   Department of Computer Science and Multimedia, Lincoln University College, Malaysia,   Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia,   Department of Computer Engineering, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia
Published: August 2021

The use of advanced technologies has increased drastically to maintain any sensitive records related to education, health, or finance. It helps to protect the data from unauthorized access by attackers. However, all the existing advanced technologies face some issues because of their uncertainties. These technologies have some lapses to provide privacy, attack-free, transparency, reliability, and flexibility. These characteristics are essential while managing any sensitive data like educational certificates or medical certificates. Hence, we designed an Industry 5.0 based blockchain application to manage medical certificates using Remix Ethereum blockchain in this paper. This application also employs a distributed application (DApp) that uses a test RPC-based Ethereum blockchain and user expert system as a knowledge agent. The main strength of this work is the maintenance of existing certificates over a blockchain with the creation of new certificates that use logistic Map encryption cipher on existing medical certificates while uploading into the blockchain. This application helps to quickly analyze the birth, death, and sick rate as per certain features like location and year.
IZAZOVI U IDENTIFICIRANJU RANJIVOSTI MIGRATNTICA NA JUŽNOJ GRANICI EUROPE: DOPRINOSI IZ BIOGRAFSKIH NARATIVA
Authors: Antolinez-Domínguez Inmaculada , Jorge-Barbuzano Esperanza
Published: August 2021

In the 1980s, the Southern Frontier of Spain became one of the southern borders of the European Union after Spain entered into the European Economic Community (EEC). On the African continent, the Spanish cities of Ceuta and Melilla that border with Morocco are physically separated from Spain by the Mediterranean Sea. Those two cities became a privileged enclave for immigration control, but also for the detection of vulnerable conditions of the migrant population. This paper has a double objective: to describe the action research developed in the Center for the Temporary Residence of Immigrants in Ceuta and to analyze 49 biographical interviews with women residents of the Center within the framework of saidaction research. The results show the diversity of situations of vulnerability in which migrant women can find themselves in this border context. Hence, it is important to rethink the intervention to avoid secondary victimization within critical and humanistic models of intervention. This work, precisely, addresses the design of a tool for biographical narratives from the perspectives of integral health and care.
MOTIVACIJA I NAVIKE PIJENJA ALKOHOLNIH PIĆA ADOLESCENATA GRADA DUBROVNIKA
Authors: Capurso Silva
Published: August 2021

ALCOHOL DRINKING MOTIVATION AND HABITS OF ADOLESCENTS IN THE CITY OF DUBROVNIK Adolescent alcohol use is one of the biggest public health problems of youth worldwide. Studies conducted in the Republic of Croatia confirm a high prevalence of this phenomenon in high school students with the data showing that almost 92% of young people under the age of 16 have tried some of the alcoholic beverages. The aim of this study was to examine the prevalence of beer and spirit drinking among high school students according to gender, type of school, and beer drinking of people closely related to them. The study also explored high school students’ motivation for beer drinking and differences in motivation between genders. The study included 789 students from 2nd and 3rd grades of high schools in Dubrovnik. The results showed that 92% of students have tried alcohol at least once. A higher percentage of male students consumed beer and wine than female students, and when it came to hard liquor, female students drank an equal amount of hard liquor as male students. The students in vocational schools, particularly in three-year programs consume more alcohol than the students from grammar schools. The study showed a correlation between adolescent drinking and drinking habits of people close to them, in particular partners and close friends. The study also showed the link between adolescent drinking and parents’ beer drinking. The most common motivation for drinking beer in adolescents is having fun and relaxing from everyday worries. They drink beer when they feel happy or bored as beer drinking increases their good mood and contributes to feeling relaxed. This study results indicate the need for implementing science-based alcohol use prevention programs and programs of high school students’ mental health promotion. The importance of involving parents in prevention programs, the role of the community in promoting healthy lifestyles and organizing ways of constructive leisure and fun for young people are also emphasized. Key words: adolescents; alcoholic drinks; beer; drinking; motivation
Testing an Immersive Virtual Environment for Decreasing Intergroup Anxiety among University Students: An Interpersonal Perspective
Authors: Kuuluvainen Venla , Virtanen Ira , Rikkonen Lassi , Isotalus Pekka
Published: August 2021

This study examined the use of an immersive virtual environment (IVE) in decreasing intergroup anxiety among university students. In Dinner-time360 , the students engaged in an interpersonal encounter by sharing a virtual dinner table with someone from another linguistic or cultural group. A control group watched the documentary in a traditional 2D format. The re-sults showed that the documentary reduced intergroup anxiety in both situa-tions, particularly among students with high anxiety who engaged in the IVE. For the IVE viewers, the decrease in intergroup anxiety was connected to two interpersonal elements: perceptions of the character’s immediacy and an in-creased level of homophily. These findings provide insights into the possibil-ities of IVEs in multicultural learning among university students.
Applying Collaborative Learning for Enhancing the Teaching-Learning Process in Online Learning through Social Media
Authors: Kurni Muralidhar , K Saritha
Published: August 2021

The education system has experienced a significant paradigm change in the present pandemic situation. Traditional teaching methods, used as a marvel, will no longer function in the current situation. This shifting paradigm has affected higher education greatly, primarily because of the rapid movement from conventional approaches to advanced and creative online learning strategies. Collaborative learning is one of the most common ways of working and responding to current needs. This study deals with the influence of STAD, which is one of the collaborative learning techniques. In this research, WhatsApp, a typical social media app, is used to form groups of learners. This experiment’s results demonstrate how improved learning can be achieved when collaborative learning is well used.
Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model
Authors: Housni Mohamed , Talbi Mohammed , Namir Abdelwahed
Published: August 2021

COVID-19 pandemic accelerated the digitalization and the implementation of technological tools to distribute knowledge and content to certify the instructional process's steadiness despite the restrictions posed in many nations worldwide. However, multi-models of development and integrations based on multitudes of theoretical and conceptual frameworks made it difficult for deciders during the year - especially in developing countries - to follow a clear path based on their contextual needs. Based on a literature review and historical Data, Learning Ana-lytics research, and its empirical results, this article proposes a data-analytics model for growth. Training/educational technologies help stakeholders use data as intelligence sources to implement technologies that will improve traditional learning procedures without constraining practices. As a result, the paper also suggests, according to the pragmatic results, a 4-year plan applicable in multidi-mensional contexts to enhance the organization's learning capabilities as a whole unit to face future trials. The return on experience in the last year of the pandemic contracts the methodological basis of results. Furthermore, this manuscript's aim is defined by the urgent necessity of post-pandemic solutions to positively safe-guard the future of keeping the wheel of knowledge running for the learners and warrant upcoming transition into using data as a source of developing new learn-ing technologies.
Pedagogical Mediation and Complexity. A Perspective on the Training of Economists
Authors: Rivera-Lozada Isabel Cristina , Rivera-Lozada Oriana , Bonilla-Asalde César Antonio
Published: August 2021

This research seeks to design a pedagogical strategies proposal for the economic sciences learning at a Faculty of Economics in Colombia; Methods: derived from complex thinking has three phases: resonance, bio-learning-relationality and holographic phase. These involve the following examples of pedagogical mediation: flipped classroom, gamification, socio-pedagogical cartography, virtual learning objects and Feeling methodology with the pillars of bio-pedagogy, knowledge construction, critical thinking and social transformation; the research shows the achievement of learning objectives in economics in line with the bio-pedagogical vision, using the proposed pedagogical mediation; Linking pedagogical innovations based on biopedagogy, allows improving the academic objectives proposed for the training of economists.
Enhanced Data Security of Communication System Using Combined Encryption and Steganography
Authors: Alrikabi Haider Th.Salim , Tuama Hazim Hussein
Published: August 2021

Data security has become a paramount necessity and more obligation in daily life. Most of our systems can be hacked, and it causes very high risks to our confidential files inside the systems. Therefore, for various security reasons, we use various methods to save as much as possible on this data, regardless of its different forms, texts, pictures, videos, etc. In this paper, we mainly rely on storing the basic image which should be protected in another image after changing its formal to composites using the DWT wavelet transform. The process of zeroing sites and storing their contents technique is used to carry the components of the main image. Then process them mathematically by using the exponential function. The result of this process is to obtain a fully encrypted image. The image required to be protected from detection and discrimination is hidden behind the encrypted image. The proposed system contains two algorithms. the first algorithm is used for encryption and hiding, but the second algorithm is designed for returning and decoding the main image to its original state with very efficiently.
The Development of POTENSIA; The Android-Based Psychological Application for Mapping and Assessments of Student Mental Health During the COVID-19 Pandemic
Authors: Ardi Zadrian , Hidayat Hendra , Ifdil Ifdil , Guspriadi Yan , Fauziyyah Siti Azizi
Published: August 2021

Students experience various essential changes related to their psychological conditions during their education in college. Students' adaptability to the demands of these changes will give birth to new skills for the next stage of psychological development. However, academic stress, social problems, career, and personal-emotional problems can hinder the productivity and development of students in terms of mental health. This issue increased with the new-normal life during the COVID-19 pandemic, which also impacted the education process. For this reason, it is necessary to have a mobile-based online psychological assessment to map the mental health conditions of students during the pandemic. This study aims to develop and validate an Android-based online psychological assessment application to map students' mental health conditions. This study involved ten experts in counseling and software development, five counselors, and 638 users of the POTENSIA application. According to application development needs, data analysis using Aiken's V coefficient test, Confirmatory Factor Analysis (CFA), and Rasch Model Analysis. The results of the study prove that the application is considered valid and practical to use. The effectiveness of the application is considered very good in mapping the mental health conditions of students.
Prioritization of Vulnerable Species Under Scenarios of Anthropogenic-Driven Change in Georgia's Coastal Plain
Authors: Paulukonis Elizabeth A. , Crawford Brian A. , Maerz John C. , Wenger Seth J. , Nibbelink Nate P.
Published: August 2021

Effective management of wildlife populations benefits from an understanding of the long-term vulnerability of species to anthropogenic stressors. Exposure to potential habitat change is one measure of vulnerability that wildlife managers often use to assess and prioritize individual species or groups of species for resource allocation or direct management actions. We used species distribution models for 15 species occurring in the coastal plain ecoregion of Georgia to estimate the current amount and distribution of potential habitat and then predict exposure to changes in habitat due to inundation from sea level rise (using the Sea Level Affecting Marshes model) and urban growth (using the Slope Land-use Excluded Urban Topology Hillshade Growth model) for four future time points. Our results predict that all focal species were likely to experience some exposure to habitat change from either sea level rise or urbanization, but few species will experience high exposure to change from both stressors. Species that use salt marsh or beach habitats had the highest predicted exposure from sea level rise (25–69%), while species that use more inland habitats had the highest predicted exposure to urban growth (10–20%). Our models are a resource for managers considering tradeoffs between prioritization schemes under two future stressors. Results suggest that managers may need to prioritize species (or their habitats) based on the predicted magnitude of habitat loss, while also contextualizing prioritization with respect to the current amount of available protected habitat and species global vulnerability.
A Brief Discussion on Incentives and Barriers to Computational Thinking Education
Authors: Özçınar Hüseyin
Published: August 2021

The idea that computational thinking or algorithmic thinking should be taught to everyone dates back to the 1960s. First in 1960s, Alan Perlis argued that computer programming should be taught to everyone because it can be used as a mental tool for understanding and solving every kind of problem. In 1980s, under the leadership of Seymour Papert, students at the level of primary education were attempted to be taught LOGO programming language with the aim of gaining procedural thinking skill. After the publication of Jeannette Wing's “computational thinking” in Communications of the ACM in 2006, the idea that the basic concepts of computer science should be learned by all was started to be debated widely again. In the present paper, the justifications for teaching computational thinking and applicability of teaching computational thinking within the context of existing conditions will be discussed.
Computational Thinking and Participatory Teaching as Pathways to Personalized Learning
Authors: Hamilton Eric , Owens Aileen M.
Published: August 2021

The technological revolution has opened important new avenues for re-thinking and improving educational practice. In this chapter, the authors define and explore the convergence of three such avenues: computational thinking, participatory teaching, and personalized learning. The chapter extends current definitions of personalized learning, but first outlines historical trends and deficiencies associated with what can be referred to as earlier factory or assembly line approaches prevalent in education. The chapter then defines and discusses the constructs of participatory teaching as one approach to personalized learning, an approach by which students take on roles of co-teaching, co-designing lessons, or co-designing and co-managing the curriculum with adult teachers. The chapter furnishes several examples that blend participatory teaching and computational thinking.
Developing Confident Computational Thinking through Teacher Twinning Online
Authors: Oldham Elizabeth , Cowan Pamela , Millwood Richard , Strong Glenn , Bresnihan Nina , Amond Mags , Hegarty Lisa
Published: August 2021

In view of the current focus on computational thinking in schools, professional development is needed so that teachers can help students acquire the requisite skills. Enhancing teachers' confidence is one important aspect. This article describes a project which offers teachers a playful, supportive introduction to computer programming, using the language Scratch. The project, CTwins (“Coding Twins” or “Computational Thinking wins”), entails teachers working in pairs called ‘twins' to produce an artefact, by communicating and reflecting in an online environment. The theoretical framework uses research on pair programming and working in online communities. An evaluative action research approach in two cycles was undertaken, the first being a pilot. For each cycle, teachers completed surveys to measure confidence pre- and post-participation, posted to the online environment, and participated in a focus group. The article then outlines implementation of the CTwins strategy, presents the findings – teachers' confidence showed gains overall-– and discusses possibilities for future work.
Developing Pre-Service Teachers' STEM Skills With Raspberry Pi Activities
Authors: Bampasidis Georgios , Galani Apostolia , Koutromanos George
Published: August 2021

The aim of this study was to explore the development of pre-service primary school teachers' STEM skills with Raspberry Pi activities. Data were collected from 16 pre-service teachers through semi-constructed interviews, reports, and a questionnaire. The results of the qualitative analysis showed that the participants developed the STEM skills mentioned in the literature such as confidence, computing, problem-solving, creativity, technological skills, and enhanced the learning potential of robotics. Moreover, the ready-to-use Python codes on Raspberry Pi platform could be an effective strategy for pre-service teachers with lack of programming to provide solutions on real-world problems. In addition, the participants successfully connected the Raspberry Pi, sensor kits, and Python scripts with real-world problems. This equipment motivated them to transpose a real-world problem to school knowledge. According to the results the combination of Raspberry Pi, sensors, and Python helped the participants upskill in computing.
Apps to Promote Computational Thinking Concepts and Coding Skills in Children of Preschool and Pre-Primary School Age
Authors: Papadakis Stamatios
Published: August 2021

A decade ago, Computational Thinking (CT) and coding were typically considered part of the secondary education programs, as the focus was on programming and algorithm development. The early childhood classroom was not exactly the area expected to find students-developed coding skills. But as has been the case lately, CT and coding have been characterized as fundamental skills of the 21st century, not only for computer scientists but for all citizens. Yet, through the application of developmentally appropriate technologies, the development of coding skills is increasingly possible, and the result may be the advancement of CT fluency or at least familiarity in young age children. Given the enormous success of smart mobile devices and accompanying mobile apps the rationale for this chapter is to investigate if there are apps that provide the children of preschool and pre-primary school age with opportunities to cultivate their foundational coding and CT skills.
Steamsational Writing
Authors: Green Marybeth , McNair C. Lisa
Published: August 2021

Providing young children with rich environments for writing has been a continuing quest for teachers in the early grades. This chapter investigates the use of Bee-bot robots as a means of creating a stimulating environment that engages second graders in the writing process and learning story grammar elements. Researchers met with the students weekly for an hour over six weeks. In the first week, students wrote an initial story and learned the basics of programming a Bee-bot robot. In subsequent weeks, students listened to a story set in the context of the Bee-bot mat, reviewed vocabulary words, planned a path for their robot, wrote a short story, and executed their robot program. There was a significant difference overall between the baseline story and the final story, and between the initial rating of each of the story grammar elements and the final rating of the elements, with the exception of Character.
Robust Decentralized Voltage Tracker of Islanded Multi-DG AC Microgrids Using Invariant Ellipsoids
Authors: Bayoumi Ehab Hassan Eid , Soliman Hisham , El-Sheikhi Farag
Published: August 2021

This chapter develops a robust decentralized voltage tracker for islanded MGs. The proposed controller is robust against the plug and play operation of the MG, loads, and line parameter uncertainties. The problem is solved in the framework of linear matrix inequality (LMI). The proposed robust control represents the load changes and the parameter variations of lines connecting the DGs as a norm-bounded uncertainty. The proposed controller utilizes local measurements from DGs (i.e., it is totally decentralized). Control decentralization is accomplished by decomposing the global system into subsystems. The effect of the rest of the system on a specific subsystem is considered as a disturbance to minimize (disturbance rejection control). The controller is designed by the invariant-sets (approximated by the invariant ellipsoids). Different time-domain simulations are carried out as connecting and disconnected one or more DGs, connecting and disconnecting local loads DGs and transmission line parameters variation.
Privacy Preserving in Smart Cities Using Various Computing Technologies
Authors: Gayathri T. N. , Rajasekharababu M.
Published: August 2021

IoT has influenced our daily lives through various applications. The high possibility of sensing and publishing sensitive data in the smart environment leads to significant issues: (1) privacy-preserving and (2) real-time services. Privacy is a complex and a subjective notion as its understanding and perception differ among individuals, hence the observation that current studies lack addressing these challenges. This chapter proposes a new privacy-preserving method for IoT devices in the smart city by leveraging ontology, a data model, at the edge of the network. Based on the simulation results using Protege and Visual Studio on a synthetic dataset, the authors find that the solution provides privacy at real-time while addressing heterogeneity issue so that many IoT devices can afford it. Thus, the proposed solution can be widely used for smart cities.
An Improved Model for House Price/Land Price Prediction using Deep Learning
Authors: Mallikarjuna Basetty , M. Sethu Ram , Addanke Supriya , Sabharwal Munish
Published: August 2021

House price predictions are a crucial reflection of the economy; sometimes house prices include the land prices and demand of the place and location. The house price and land price are two different things, but both are important for both buyers and sellers. This chapter introduced the combination of ML and DL approaches to predict the house price with the updated regression algorithm. The algorithm named as ‘Mopuri algorithm' reads the 14 attributes like crime rate, population density, rooms, etc. and produces the cost estimation result as a prediction. The proposed model accurately estimates the worth of the house as per the given features. The results of the model tested with the different datasets existing in the Kaggle data source using Python libraries with the Jupyter platform and continuation of the model using the Android OS to develop the smart home web-based application.
Design and Development of an Internet of Things (IoT)-Based Anti-Theft System in Museum Cultural Relics Using RFID
Authors: Gurumoorthy Sasikumar , Reddy L. Venkateswara , Periakaruppan Sudhakaran
Published: August 2021

Art colonnades and museums all over the world are the first option for individuals to visit for the enhancement of the cultural life of people. To ensure their safety, museums have established numerous cultural security measures. Traditional strategies do not obstruct their pace entirely. They only use a computer in the museum to check individuals at the entrance and exit. Therefore, the authors proposed a gallery anti-stealing device created on the internet-of-things (IoT) technology that ensures security through passive readers/writers of RFID. Radio frequency identification (RFID) remains a system that practices isolated data storing and recovery and offers object tracking with a unique identity code. The system then sends sound and light warning information, while the photographic camera structure is triggered to capture a picture at the same time. The recognition of the accuracy in the hardware component of the device can be additionally enhanced by the use of this technology to increase the safety of museum equipment.
Performance Analysis of MCOD Algorithm With Varying Parameters
Authors: Madhuri Sandhya , Rani Usha M.
Published: August 2021

Outlier detection has become one of the prominent and most needed technologies these days. Outliers can be anything in our daily life like credit card fraud, intrusion in a network, aberrant condition detection in condition monitoring data. There are numerous methodologies to detect outliers. In the past few years many tools have come up in the outlier detection in data streams. In this chapter, the authors discuss the tool MOA (massive online analysis) to detect anomalies and the best performing algorithm amongst the prescribed algorithms of MOA. The authors elaborately discuss that MCOD (micro-cluster-based algorithm) is one of the best in the prescribed algorithms of the MOA (massive online analysis) tool which outperforms all other algorithms. In this paper, the authors will deeply discuss the performance of MCOD algorithm. The authors will also discuss which factor of MCOD separates its performance from others and also what the different parameters that influence the performance of MCOD are.
Practical and Case-Based Methods in Teaching and Learning
Authors: Hand Laura Elizabeth
Published: August 2021

This chapter (re)introduces practical learning methods to the reader. Focusing on multimodality, authenticity, engagement, and environmental adaptability, this chapter breaks down practicality in a rapidly changing learning environment and provides a brief overview of three practical approaches. Combining industry-developed knowledge of agile strategies with experiential knowledge of frontline, metric-driven innovations in teaching, learning, and eLearning, this chapter also showcases blueprints for establishing a sustainable foundation for the growing architecture of eLearning in the US and internationally. The chapter is designed to model the chapter's content for the reader, actively involving readers across modalities in the processes of refining an understanding of practical methods and approaches, including (1) case-based learning, (2) active learning, and (3) communicative learning (as a corollary to communicative language teaching).
POS Tagging and NER System for Kannada Using Conditional Random Fields
Authors: Swamy Arpitha , Srinath S.
Published: August 2021

Parts-of-speech (POS) tagging is a method used to assign the POS tag for every word present in the text, and named entity recognition (NER) is a process to identify the proper nouns in the text and to classify the identified nouns into certain predefined categories. A POS tagger and a NER system for Kannada text have been proposed utilizing conditional random fields (CRFs). The dataset used for POS tagging consists of 147K tokens, where 103K tokens are used for training and the remaining tokens are used for testing. The proposed CRF model for POS tagging of Kannada text obtained 91.3% of precision, 91.6% of recall, and 91.4% of f-score values, respectively. To develop the NER system for Kannada, the data required is created manually using the modified tag-set containing 40 labels. The dataset used for NER system consists of 16.5K tokens, where 70% of the total words are used for training the model, and the remaining 30% of total words are used for model testing. The developed NER model obtained the 94% of precision, 93.9% of recall, and 93.9% of F1-measure values, respectively.
Decomposing Customer Engagement Effect Between Marketer- and User-Generated Content and Repurchase Intention in the Online Airline Service Community
Authors: Abdelkader Ali Ahmed , Ebrahim Reham Shawky
Published: August 2021

This research is mainly concerned with identifying the mediating role of customer engagement (CE) between marketer and user-generated content and repurchase intentions in online airline service communities. Additionally, this research explores the significance of differences between the customers' perceptions towards the generated content evaluation according to content generator (marketer/user) and identifies the relatively importance of both marketer and user-generated content influence on CE in online airline service communities. To accomplish these objectives, a random cluster sample of 351 valid internet users was selected. The research findings indicated that user-generated content (UGC) is more influential than marketer-generated content (MGC) on CE and its dimensions. The findings also reveal that CE significantly mediates the relationship between both marketer and user-generated content and repurchase intentions. The findings improve both academicians' studies and marketers' practices within the online airline service community.
How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts
Authors: Zemmouchi-Ghomari Leila
Published: August 2021

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.
DIATERMIA POR ONDAS CURTAS NO GANHO DE AMPLITUDE DE MOVIMENTO EM MEMBROS INFERIORES DE INDIVÍDUOS SAUDÁVEIS: REVISÃO DE ESCOPO
Authors: Lewandoski Lizie Tanani , Maibuk Alessandra Smaniotto , Bertolini Gladson
Published: August 2021

A Diatermia por Ondas Curtas tem sido utilizada com o objetivo de reduzir a resistência dos tecidos musculares e periarticulares para a realização de atividades físicas e exercícios de flexibilidade. Contudo, atualmente observa-se a redução de sua utilização para obter-se ganhos na flexibilidade. Propôs-se uma busca na literatura de estudos que utilizassem esta técnica conjuntamente com o alongamento muscular em membros inferiores, de indivíduos saudáveis, para observar e relatar seus resultados. Assim foi realizada revisão literária de escopo nas bases de dados: Pubmed, Scielo, PEDro, Bireme e Google Acadêmico. A qualidade metodológica dos artigos foi avaliada pela escala PEDro. Onze artigos e uma dissertação de mestrado foram selecionados, alguns artigos apresentaram que o uso do Ondas Curtas combinado ao alongamento alcançou ganhos na flexibilidade, porém estes ganhos não foram tão expressivos se comparado ao alongamento isolado. Observou-se que a maioria dos estudos possui baixa qualidade metodológica.
ALTERAÇÕES NA COMPOSIÇÃO, DIVERSIDADE E ABUNDÂNCIA DA FAUNA EDÁFICA OCASIONADAS PELO EFEITO DE BORDA EM UM FRAGMENTO URBANO DE MATA ATLÂNTICA
Authors: Montoia Comparsi Daiane , Cervigni Feltrin Beatriz , Silveira Bonacazata Santos Marina , Ferreira Sapateiro Mariana , Henrique Ragonha Flávio
Published: August 2021

A presente pesquisa teve como objetivo analisar a possível ocorrência e influência do efeito de borda no Parque do Ingá – Maringá/PR. Buscou-se analisar se havia diferença da composição entre as áreas de borda e centro referente à área estudada. Os resultados evidenciaram menor abundância de macroinvertebrados na região da borda quando comparada ao centro. A região do centro apresentou maior umidade do solo e menor temperatura em relação à borda, assim, é sugerido um aquecimento da zona de borda por influência do meio externo, visto que ao redor do fragmento a composição é de pavimentação urbana. Houve maior diversidade na região central do parque, com a presença de organismos que indicam o estágio sucessional primário do solo em transição (direção borda-centro), devido ao efeito de borda recorrente. Concluiu-se que há uma diferença na diversidade beta das áreas abordadas e que o efeito de borda é influente no fragmento florestal, refletindo em uma baixa heterogeneidade que posteriormente pode afetar os serviços e funções do ecossistema, recomenda-se a revisão e prática do Plano de Manejo do Parque do Ingá, para que os problemas ocasionados pelo efeito de borda possam ser amenizados a tempo de não comprometer a conservação da fauna edáfica e fatores abióticos.
Purinergic Receptor P2Y6 Is a Negative Regulator of NK Cell Maturation and Function
Authors: Li Zhenlong , Gao Yaoxin , He Cong , Wei Huan , Zhang Jiang , Zhang Hongmei , Hu Lulu , Jiang Wenzheng
Published: August 2021

NK cells are critical innate immune cells that target the tumor cells and cancer-initiating cells and clear viruses by producing cytokines and cytotoxic granules. However, the role of the purinergic receptor P2Y6 in the NK cells remains largely unknown. In this study, we discovered that the expression of P2Y6 was decreased upon the activation of the NK cells. Moreover, in the P2Y6-deficient mice, we found that the deficiency of P2Y6 promoted the development of the NK precursor cells into immature NK and mature NK cells. We also found that the P2Y6 deficiency increased, but the P2Y6 receptor agonist UDP or UDP analog 5-OMe-UDP decreased the production of IFN-γ in the activated NK cells. Furthermore, we demonstrated that the P2Y6-deficient NK cells exhibited stronger cytotoxicity in vitro and antimetastatic effects in vivo. Mechanistically, P2Y6 deletion promoted the expression of T-bet (encoded by Tbx21), with or without the stimulation of IL-15. In the absence of P2Y6, the levels of phospho-serine/threonine kinase and pS6 in the NK cells were significantly increased upon the stimulation of IL-15. Collectively, we demonstrated that the P2Y6 receptor acted as a negative regulator of the NK cell function and inhibited the maturation and antitumor activities of the NK cells. Therefore, inhibition of the P2Y6 receptor increases the antitumor activities of the NK cells, which may aid in the design of innovative strategies to improve NK cell–based cancer therapy.