Miracle-dz/UniFAR-FTUs huggingface dataset:
The hybrid course designer's experience using the ABCDE instructional design model

by Kathleen J. Chatfield, Ed.D. Washington State University May 2015 Chair: Richard D. Sawyer This research investigated a new instructional design model intended to provide higher education faculty with guidance that will contribute to their successful design of a hybrid course. The goal of this research was to explore through observation and interviews how first-time designers of a hybrid course experienced the use of the ABCDE instructional design process model and to discover their perception of the effect that their course design had on students accomplishing their course learning objectives. Case study methodology within an action research context was used to collect observations of them as well as their perceptions, feelings, and experiences as characterized by each instructor. The constant comparison method was used to analyze findings across time and scope as well as across cases to identify the benefits and challenges that were associated with using the model. The discussion and conclusions offer reasons for success as well as suggestions for improving the use of the ABCDE model by faculty seeking direction and support with the hybrid course design process.
Impact of the COVID-19 Pandemic on Audit Quality: Lessons and Opportunities

This study aims to identify the impact of COVID-19 on audit quality based on the investigation of three auditing aspects, namely: audit fees, audit procedures, and auditors' salaries in Saudi Arabia and Yemen. For data collection, fifty-five (55) questionnaires were distributed to internal auditors, external auditors, managers of audit offices, and financial managers. Eleven managers of audit offices and auditors were interviewed. A descriptive, regression analysis, and T-test were used. The study results reveal that the audit quality has been significantly affected due to the devastating effect of COVID-19 on audit fees, audit procedures, and audit staff salaries. In addition, the results show that Yemen is severely affected due to several factors, which include a lack of modern auditing systems. Also, private ownership of establishments and the absence of laws for determining audit fees negatively impacted the audit quality. Being the first of a practical kind, this study provides a significant contribution to the existing literature on the impact of COVID-19 on the quality of auditing. This would be useful for corporations, audit offices, auditors, and researchers. Moreover, this study can bridge the identified research gap on this topic and provide empirical evidence about the impact of COVID-19 on audit quality. Doi: 10.28991/esj-2022-SPER-06 Full Text: PDF
Prevention and Management of Postoperative Ileus: A Review of Current Practice

Postoperative ileus (POI) has long been a challenging clinical problem for both patients and healthcare physicians alike. Although a standardized definition does not exist, it generally includes symptoms of intolerance to diet, lack of passing stool, abdominal distension, or flatus. Not only does prolonged POI increase patient discomfort and morbidity, but it is possibly the single most important factor that results in prolongation of the length of hospital stay with a significant deleterious effect on healthcare costs in surgical patients. Determining the exact pathogenesis of POI is difficult to achieve; however, it can be conceptually divided into patient-related and operative factors, which can further be broadly classified as neurogenic, inflammatory, hormonal, and pharmacological mechanisms. Different strategies have been introduced aimed at improving the quality of perioperative care by reducing perioperative morbidity and length of stay, which include Enhanced Recovery After Surgery (ERAS) protocols, minimally invasive surgical approaches, and the use of specific pharmaceutical therapies. Recent studies have shown that the ERAS pathway and laparoscopic approach are generally effective in reducing patient morbidity with early return of gut function. Out of many studies on pharmacological agents over the recent years, alvimopan has shown the most promising results. However, due to its potential complications and cost, its clinical use is limited. Therefore, this article aimed to review the pathophysiology of POI and explore recent advances in treatment modalities and prevention of postoperative ileus.
A Beginner’s Guide to Line Intensity Mapping Power Spectra

Line intensity mapping (LIM) is an emerging technique in measuring galaxy evolution and the large-scale structure of the universe. LIM surveys measure the cumulative emission from all galaxies emitting a given line at a particular redshift, which trace the distribution of dark matter throughout the universe. In this proceeding, we provide an introduction to LIM modeling, focusing on power spectrum calculation. Beyond these calculations, we describe how these power spectra may be used to constrain properties of galaxy evolution and large-scale structure cosmology. Throughout, we use the anticipated EXCLAIM signal of ionized carbon ([CII]) at redshift z=3 as a case study. Our goal is to provide a starting point to non-experts, e.g. upper-level undergraduate and graduate students familiar with the basics of cosmology, with the tools necessary to understand the literature and generate LIM power spectrum models themselves, while also describing a wide array of literature for continued studies.
Decreased dissimilarity of turbulent transport attributed to large eddies

A number of studies have brought up that turbulent transport dissimilarity between momentum and scalars, and even among scalars, is a distinct feature of the unstable boundary layer, affecting the performance of the Monin–Obukhov similarity theory. Although the source/sink distribution of scalars, as well as the top‐down entrainment processes, are identified as being responsible for affecting transport dissimilarity, less is known about the role of bulk‐shear‐generated non‐local large eddies. Using data collected by an eddy covariance system mounted on a 70‐m meteorological tower over a complex rural area, decreased transport dissimilarity with enhanced wind shear is observed during daytime unstable conditions, prompting our interest in the underlying governing mechanisms. Enhanced wind shear increases the intensity of coherent large eddies, with spectra analysis confirming that large eddies with scales larger than 0.3 (in the normalized frequency) are mainly responsible for the enhanced correlation of fluxes. Moreover, this process is operating on large eddies with minimal phase differences. With enhanced wind shear, fluctuations of scalars within these non‐local large eddies become synchronous. Due to the enhanced ejections of large eddies under strong wind shears, fluxes are transported evenly, thereby resulting in decreased transport dissimilarity.
Development of Loop-Mediated Isothermal Amplification Combined with Lateral Flow Dipstick Assay for a Rapid and Sensitive Detection of Cystic Echinococcosis in Livestock in Kenya

Background Cystic echinococcosis is a zoonotic disease caused by the metacestode stage of Echinococcus granulosus and occurs worldwide, causing considerable economic losses and public health problems. The currently available methods for the diagnosis of animal hydatidosis are time-consuming and require well-equipped laboratories which make them incompatible with testing in resource-poor settings. This study developed and evaluated a rapid, more sensitive, and specific loop-mediated isothermal amplification combined with a lateral flow dipstick assay for the rapid and sensitive detection of cystic echinococcosis. Results In this study, a specific primer set and FITC-labeled probe targeting the conserved region of the NADH-1 gene were designed. The LAMP reaction was performed at 60°C for 40 minutes, and the amplification products were successfully visualized by LFD strips. The analytical sensitivity of LAMP-LFD was determined using 10-fold serial dilutions of E. granulosus DNA. The minimal concentration detected was 10 fg/μl, and no cross-reactivity was observed with DNA extracted from Taenia solium, Taenia saginata, and Fasciola hepatica. The ability of the developed LAMP-LFD assay to detect cystic echinococcosis was further evaluated with 62 cyst samples from slaughtered cattle in Juja Abattoir, Kiambu County, Kenya. The LAMP-LFD was able to detect 59/62 (95.2%, 95% CI 0.87–0.98) as positive samples of E. granulosus compared to 53/62 (85.5%, 95% CI 0.75–0.92) by nested PCR assay. Conclusion Our results indicated that the developed LAMP-LFD technique was more sensitive than the nested PCR assay, rapid, and easy to perform with a simple visual detection of products. Therefore, it could be an important point-of-care diagnostic tool for cystic echinococcosis.
Seizure Prediction Based on Convolution Neural Network with Subnet Loss Function

: Electroencephalogram (EEG) signals of patients are applying for the classification and prediction of seizures. Accurate prediction of seizures helps the doctor to decide on the patients' treatment. Various existing models were applied for the prediction of seizures based on feature extraction and deep learning techniques and it also has the limitations of lower efficiency in feature analysis and overfitting problems in deep learning techniques. In this research, the Convolutional Neural Network (CNN) with subnet loss function is proposed for the prediction of seizures. The subnet loss function is applied in CNN model to update the network model with suitable loss value. The subnet loss function is based on probabilistic distance between average embedding in the network. The CNN-VGG16 architecture is applied for the prediction of seizures due to model has higher efficiency in handling the features. The three-loss function is used, the first loss function is used for the feature analysis, the second loss function is applied for the feature map and the third loss function is applied for retraining useful information. To evaluate the performance of the proposed model, two datasets such as iEEG and rs-fMRI datasets were used. The proposed CNN-SLF has the advantage of retrain useful information to provide effective performance. The result shows that the proposed CNN-SLF model has 99.2 % accuracy and the existing Long Short Term Memory (LSTM) with deep learning features has the accuracy of 98 %
Students’ Learning Engagement in an Online Academic Listening and Speaking Class

The sudden shift of learning from traditional to online learning is worth noting once again. Students' learning engagement has always been a complicated thing to research but is worth mentioning and important for the educational department, especially in EFL countries. Students' learning engagement in online learning itself is an indicator in which students have in learning to achieve their goals. Empirically, there have been various studies of learning English listening and speaking and/or student engagement, however inadequate investigative attempts have concentrated on student engagement in academic listening and speaking skills, notably in the Indonesian higher education context and also in online learning. For this reason, the current study strives to delineate how students engage in the online learning of the Academic Listening and Speaking course. Besides, it also focuses on the factors affecting students' engagement in such an online course. With using thematic analysis, this qualitative study concluded that the students do engage in this online course as (1) cognitively engaged by understanding teaching materials and activities in the online ALS course, (2) emotionally engaged by enjoying classroom learning activities, and (3) behaviourally engaged by participating in a discussion, developing problem-solving skills, and applying online learning norms in the classroom. In addition, there are factors affecting students' engagement, including (1) social engagement of student and teacher rapport, (2) collaborative engagement of peer support, and (3) learning passions for Academic Listening and Speaking course.
Rehabilitating Effect of Marijuana on Post-Covid-19 Pain Syndrome

Post-COVID-19 syndrome is a condition that develops after the infected patient has recovered as evidenced by laboratory tests. It is characterized by persistence of physical symptoms and subjective sensations considered to be late effects of the virus on body functions. There are currently no therapeutic means to attenuate these symptoms without inducing adverse effects. A communication of the successful use of medical marijuana in a patient with postCOVID-19 syndrome is herein released.
Compound Heterozygous Factor VII Deficiency c.1025G>A p.(Arg342Gln) With Novel Missense Variant c.194C>G p.(Ala65Gly)

Factor VII (FVII) deficiency manifests as prolonged prothrombin time (PT) and reduced FVII activity. We report a case of an asymptomatic 60-year-old gentleman with discrepancies in PT and FVII coagulant activity levels (FVII:C) on three different thromboplastin reagents used. Further sequence analysis on genomic DNA showed double heterozygosity for c.1025G>A p.Arg342Gln and c.194C>G p.Ala65Gly in the F7 gene. To date, p.Ala65Gly in exon 2 of the F7 gene represents a novel variant in patients with FVII deficiency and is classified as likely pathogenic. Computational prediction tools support a deleterious effect on the gene. The genotype-phenotype association and the clinical significance of this exon 2 missense variant is proposed in this case report.
A Novel Approach for ECG Classification Using Probability Continuous Wavelet Transform and Alexnet-Deep Neural Network

: Arrhythmia identification using electrocardiograms (ECGs) is a critical component of biomedical signal processing and pattern recognition. The classification of ECG arrhythmias is presented in this article using features extracted from the Extreme Value distributor of the probability density function (PDF), also training model built using the Alexnet architecture of a conventional neural network (CNN). A continuous wavelet transform (CWT) was used to convert the features space to a two-dimensional image. Additionally, a comparison of the two approaches was conducted. In the first case, we used CWT to convert ECG data to two-dimensional images. In the second case, features were extracted from PDF files and converted to the image domain using a CWT. With a learning rate of 0.001 and batch size of 250, the accuracy of tests was 98.67 %. The results indicated that the proposed method is more accurate than the conventional method when it comes to feature extraction.
Adaptive Optimal Trajectory Tracking Control for Four Flexible Joint Robot Manipulator

The Swarm Intelligence Optimization Methods were widely used in science. Animals' swarming behaviour mainly inspires these methods. Conventional optimization for Harris Hawks (HHO) is a recent technique based on the hunting strategy of harris hawks. The parallelism technique was used in this study to try to improve the original version of the algorithm. The improved algorithm sets the parameters of two controllers designed to improve the 4-link flexible joint manipulator's dynamic performance. The integral sliding mode controller controls the flexible joints, and the adaptive output feedback tracking controller controls the rigid links. When the improved algorithm is tested on benchmark functions and compared to other optimization strategies. the results show that the improved algorithm is faster and more precise. The simulation results indicate the improved algorithm's capabilities, with an enhancement percentage of 76.72 percent for the first link and 70.91 percent for the first joint compared to the standard approach.
Social Status of Students with Intellectual Disabilities in Special Needs Schools: The Role of Students’ Problem Behavior and Descriptive Classroom Norms

ABSTRACT Introduction Individual social status among peers (i.e., acceptance and rejection) has important implications for students’ social and academic development. The present study investigates the role of individual problem behavior and classroom norms in the development of acceptance and rejection among students with intellectual disabilities (ID) in special needs schools. Methods School staff reported on problem behavior and social status of 1125 students with ID (M = 11.26 years, SD = 3.76; 31% female) in special needs schools at the beginning and end of a school year. Results More individual problem behavior at the beginning of the year predicted students’ lower acceptance and greater rejection at the end of the year, controlling for earlier problem behavior and other variables. The effect of problem behavior was independent of the prevailing classroom norms. Conclusion Our findings show that behavioral problems pose a risk for social exclusion of students with ID among their peers in special needs settings.
Barriers and Facilitators to Uptake and Attendance of Secondary Cardiac Prevention Programmes for Indigenous New Zealanders

Aim: Cardiac Rehabilitation (CR) has good success in improving health outcomes after a heart event. There is poor enrolment and attendance of CR programmes worldwide, particularly for indigenous peoples, such as New Zealand (NZ) Maori. The present study aimed to provide in-depth interview information about barriers and facilitators of both enrolment and attendance in CR, as well as identifying potential solutions. Methods: Thirty-two semi-structured interviews with Maori referred to CR who either: did not enroll; enrolled but did not complete; and completed the programme. Interview topics were based on meta-syntheses and NZspecific information as well as suggested improvements. The transcripts were inductively analysed. Results: Barriers specific to enrolment were inadequate timing or format communication about CR. Time of day or day of week of sessions, and ability to find transportation to attend were barriers to attending. Group format and cultural focus were perceived as barriers to some, but facilitators for others (enrolment and attendance). Participants suggested ways to improve CR communication (enrolment), flexibility regarding content and timing of CR, and, provision of transport (enrolment and attendance), and, increased cultural focus (enrolment and attendance). Conclusions: Providing a greater variety and flexibility in CR programme design could potentially improve enrolment and attendance for indigenous and for non-indigenous clients. Offering CR sessions after hours, in locations that are easily accessible, having different formats such as: groups, individual versus online, or, indigenous- or European dominant-focus may mean that CR appeals to a larger group of CR patients.
Everyday Cycling Mobilities and Tourist Behaviour: The Emergence of Cycle Tourism as COVID-Secure Activity

The extraordinary circumstances of the COVID-19 pandemic have evidently led to increased levels of cycle commuting and cycle tourism closer to and around the home (we refer to this as everyday cycling mobilities). Cycling is a popular tourism pursuit in Japan and in the pandemic era, is acknowledged to be a COVID-secure activity. In response to, and drawing from the theory of planned behaviour, examining the relationship between the COVID-secure perspective and the intention to perform tours via cycling mobilities in Japan is the underlying aim of this exploratory study. Further, analyses are informed by an online survey approach and contextualised with hierarchical multiple regression analyses. Findings emphasise that COVID-secure perspective is negatively associated with intention to tour as part of everyday cycling mobilities, whereas attitude, subjective norm, and perceived behavioural control show positive association. This has implications for everyday cycling mobilities and cycle tourism. COVID-related advice should be developed and disseminated not only to cycling enthusiasts but also to the general public in order to emphasise and reinforce the COVID-secure nature of this mode of tourism. Consequently, the rise in popularity of everyday cycling mobilities and touring, sounds a clarion call to ensure that any ensuing expansion pays heed to responsible tourism concerns.
Influencing Factors on Mobile Wallet Adoption in the Philippines: Generation X’s Behavioral Intention to Use GCash Services

Over the years, financial services have constantly evolved from cash to card to digital transactions. The usage of cashless transactions in the Philippines is not as high in developed countries. The trajectory of generation X’s behavioral intention to adopt GCash was popularized during this pandemic crisis. Currently, there is limited information on the influencing factors that impacts this behavioral intention on the adoption of the untapped target market. This paper aims to investigate the factors that influenced the mobile wallet adoption of generation X in the Philippines that focuses on perceived risk, ease of use, rebates, and social influence. From the survey of (N=385) non-users respondents, the results present a positive effect on generation X's behavioral intention to adopt GCash and a significant relationship between the influencing factors and behavioral intention. This study concludes that these influencing factors have a significant effect on the Filipino generation Xers’ behavioral intention.
Unlock the father–child relationship during lockdown: an investigation of socioemotional experiences of Wuhan preschool children and parents under COVID-19

ABSTRACT This study explored the socioemotional experiences of Wuhan preschool children and their parents, focusing on father–child relationships during lockdown. Mixed methods were employed with semi-structured interviews with 12 families and an online questionnaire involving 748 parents. The results show that the parents were generally positive about the emotional experiences associated with caring for their young children all-day-long, although some parents expressed concerns about their children’s educational issues. About 62.9% of fathers and 44.7% of mothers reported an improvement in father–child relationships. Children’s gender affected the fathers’ views. The rate of positive changes in father–son relationships is significantly higher than in father–daughter relationships. The parents’ attitudes influenced children who demonstrated compliant behaviours for meeting the lockdown requirements, yet the children’s emotions presented a mixture of positive and negative components. These findings reveal the complexity of family life, which has implications for imposing lockdown policies when addressing future emergencies.
A Study of Perception of the Importance of English Language Skills among Indonesian Hotel Employees

Conducting classes for English as a Specific Purpose such as in hospitality and tourism requires thorough needs analysis that serves the needs all stakeholders. However, most studies investigate the perceptions of students of hospitality or tourism major, while the perceptions of hotel employees are rarely investigated. This study is aimed at investigating Indonesian hotel employees (n = 77) perceptions towards various aspects of English skills. No statistical differences were found on the 15-item questionnaire responses based on gender, current job level, hotel stars, and current job departments. However, the results showed that listening and speaking skills are perceived as the most important, while spoken grammar is considered as the least important.