bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pedagogical Transformation and Teacher Learning for Knowledge Building: Turning COVID-19 Challenges into Opportunities
Authors: Teo Chew Lee , Tan Seng Chee , Chan Carol 
Published: October 2021

This paper reports on the continual effort of the Knowledge Building Community (KBC) connecting teachers within and across schools for knowledge creation and community building during the COVID-19 disruptions. During this crisis, schools around the world are challenged with the issues of implementing online learning. Three areas of misalignment were identified: disjoint in learning with home-school separation, piecemeal technologies to mimic physical teaching, and disconnect between teacher professional development and classroom practices and we discussed emerging realignment efforts for transformative learning. Through analyzing the three case examples of how teachers responded to COVID-19 challenges in inter-related areas of curriculum, pedagogy, technology and community, we identified several themes on emerging alignments conducive for transformative pedagogy and technology through community advancement. These themes include: innovating practice around the centrality of ideas; perceiving knowledge building as pervasive; transformative use of technology, and symmetrical advancement of knowledge. These case examples show that in these disruptive times, the teachers were more actively building new practices supported by community dynamics and systemic processes of the KBC. Consequently, the interactions between stakeholders shifted from disjointed relations in different hierarchical levels to a networked community of people, ideas, and resources, and teachers continually advancing their knowledge-building practice in these challenging times.
Ventricular Arrhythmias in Seniors with Heart Failure: Present Dilemmas
and Therapeutic Considerations: A Systematic Review
Authors: Mene-Afejuku Tuoyo O , Bamgboje Abayomi O , Ogunniyi Modele O , Akinboboye Ola , Ibebuogu Uzoma N 
Published: October 2021

Background:
Heart Failure (HF) is a global public health problem, which affects over
23 million people worldwide. The prevalence of HF is higher among seniors in the USA and other
developed countries. Ventricular Arrhythmias (VAs) account for 50% of deaths among patients
with HF. We aim to elucidate the factors associated with VAs among seniors with HF, as well as
therapies that may improve the outcomes.

Methods:
PubMed, Web of Science, Scopus, Cochrane Library databases, Science Direct, and Google
Scholar were searched using specific keywords. The reference lists of relevant articles were
searched for additional studies related to HF and VAs among seniors as well as associated outcomes.

Results:
The prevalence of VAs increases with worsening HF. A 24-hour Holter electrocardiogram
may be useful in risk stratifying patients for device therapy if they do not meet the criterion of low
ventricular ejection fraction. Implantable Cardiac Defibrillators (ICDs) are superior to anti-arrhythmic
drugs in reducing mortality in patients with HF. Guideline-Directed Medical Therapy (GDMT)
together with device therapy may be required to reduce symptoms. In general, the proportion of seniors
on GDMT is low. A combination of ICDs and cardiac resynchronization therapy may improve
outcomes in selected patients.

Conclusion:
Seniors with HF and VAs have high mortality even with the use of device therapy
and GDMT. The holistic effect of device therapy on outcomes among seniors with HF is equivocal.
More studies focused on seniors with advanced HF as well as therapeutic options are, therefore,
required.
Empirical Analysis of Deep Convolutional Generative Adversarial Network for Ultrasound Image Synthesis
Authors: Kumar Dheeraj , Mehta Mayuri A. , Chatterjee Indranath 
Published: October 2021

Introduction:
Recent research on Generative Adversarial Networks (GANs) in the biomedical field has proven the effectiveness in generating synthetic images of different modalities. Ultrasound imaging is one of the primary imaging modalities for diagnosis in the medical domain. In this paper, we present an empirical analysis of the state-of-the-art Deep Convolutional Generative Adversarial Network (DCGAN) for generating synthetic ultrasound images.

Aims:
This work aims to explore the utilization of deep convolutional generative adversarial networks for the synthesis of ultrasound images and to leverage its capabilities.

Background:
Ultrasound imaging plays a vital role in healthcare for timely diagnosis and treatment. Increasing interest in automated medical image analysis for precise diagnosis has expanded the demand for a large number of ultrasound images. Generative adversarial networks have been proven beneficial for increasing the size of data by generating synthetic images.

Objective:
Our main purpose in generating synthetic ultrasound images is to produce a sufficient amount of ultrasound images with varying representations of a disease.

Methods:
DCGAN has been used to generate synthetic ultrasound images. It is trained on two ultrasound image datasets, namely, the common carotid artery dataset and nerve dataset, which are publicly available on Signal Processing Lab and Kaggle, respectively.

Results:
Results show that good quality synthetic ultrasound images are generated within 100 epochs of training of DCGAN. The quality of synthetic ultrasound images is evaluated using Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index Measure (SSIM). We have also presented some visual representations of the slices of generated images for qualitative comparison.

Conclusion:
Our empirical analysis reveals that synthetic ultrasound image generation using DCGAN is an efficient approach.

Other:
In future work, we plan to compare the quality of images generated through other adversarial methods such as conditional GAN, progressive GAN.
GSM and Arduino Based Vital Sign Monitoring System
Authors: Austin Rachel , Lobo Fiona , Rajaguru Swarnalatha 
Published: October 2021

Aims:
Analysis of the vital signs of patients can aid in early disease diagnosis and care. There are many illnesses which can be diagnosed and managed by monitoring this medical information periodically.

Background:
Detection of various early-stage medical diseases can be simply done by monitoring Human vital signs, as they show the standard body's essential functions, indicating the status of an individual's health condition.

Objective:
In many cases it so happens that patients do not receive appropriate medical treatment on time, as a result of which unexpected incidents happen due to ignorance of one’s health status. Since pulse rate and vital sign area unit are the foremost crucial parameters, an affordable device to detect such parameters is useful for human health.

Methods:
Photoplethysmography (PPG) is a photosensitive technique that measures difference in blood volume of the pulse (usually in the body's soft tissues) by specifically interfering with the differences in the photo-emitter's absorption, reflection, volume and dispersion of light, and then it is registered by the photoreceptor. Then, the PPG waveform reflects shifts in arterial blood supply. The waveform obtained with a pulse oximeter illuminates skin and processes variations in the absorption of light.

Results:
The embedded systems-Arduino, GSM module and the various sensors used in this research provide a simple monitoring method which does not require a smartphone or internet connectivity.

Conclusion:
This paper aims at illustrating the significance of constantly monitoring vital signs. The device proposed has been developed as an Arduino program that is straightforward and inexpensive, a conveyable system that acquires the vital signs data and sends a text message as warning messages during a health emergency.
Essentials of Predicting Epileptic Seizures Based on EEG Using Machine Learning: A Review
Authors: Patel Vibha , Tailor Jaishree , Ganatra Amit 
Published: October 2021

Objective:
Epilepsy is one of the chronic diseases, which requires exceptional attention. The unpredictability of the seizures makes it worse for a person suffering from epilepsy.

Methods:
The challenge to predict seizures using modern machine learning algorithms and computing resources would be a boon to a person with epilepsy and its caregivers. Researchers have shown great interest in the task of epileptic seizure prediction for a few decades. However, the results obtained have not clinical applicability because of the high false-positive ratio. The lack of standard practices in the field of epileptic seizure prediction makes it challenging for novice ones to follow the research. The chances of reproducibility of the result are negligible due to the unavailability of implementation environment-related details, use of standard datasets, and evaluation parameters.

Results:
Work here presents the essential components required for the prediction of epileptic seizures, which includes the basics of epilepsy, its treatment, and the need for seizure prediction algorithms. It also gives a detailed comparative analysis of datasets used by different researchers, tools and technologies used, different machine learning algorithm considerations, and evaluation parameters.

Conclusion:
The main goal of this paper is to synthesize different methodologies for creating a broad view of the state-of-the-art in the field of seizure prediction.
The Gut Microbiota Changes in Obese People: A New Perspective for the
Modern Medicine
Authors: Abenavoli Ludovico , Procopio Anna Caterina , Scarpellini Emidio 
Published: October 2021

:
Obesity is one of the major health problems of the modern era. Obesity has been asso-ciated with rapidly rising growth rates that affect every age group of the population indiscrimi-nately, particularly the younger ones. Undoubtedly, it is necessary to identify increasingly effec-tive therapies in order to avoid the possible complications of the syndrome. In this context, the microbiota can represent one of the therapeutic targets for the prevention and treatment of obesity. We highlight the role of the microbiota as a therapeutic target in obesity.
The Effectiveness of Science E-Modules for Class VII Junior High Schools Based on Socioscientific Issues to Improve Students' Critical Thinking Skills
Authors: Suastrawan Komang Edi , Suardana I Nyoman , Sudiatmika A. A. I. Agung Rai 
Published: October 2021

This study aims to analyze the effectiveness of science e-modules for class VII junior high schools based on socioscientific issues to improve students' critical thinking skills. The type of research used is Pre-Experimental with one group pretest-posttest design. This research was conducted at SMP Negeri 2 Seririt in class VII A with a total of 30 students. Data were collected with 12 items of critical thinking skills test on global warming material through pretest and posttest. Data were analyzed using Paired Sample T-Test and gain score test. The Paired Sample T-Test was used to calculate the significance of increasing students' critical thinking skills, but the gain scores were used to calculate the increase in students' critical thinking skills. The results of this research showed that there was a significant difference in students’ critical thinking skills before and after used science e-module in learning (sig. < 0.05). The normalized N-gain test also showed an increase in students' critical thinking skills with a value of 0.55 in the medium category. Based on the results of the Paired Sample T-test and the normalized gain score, it can be concluded that the e-module based on socioscientific issues is effectively used to improve students' critical thinking skills.
Evaluating the Effectiveness of Gamification on Physical Activity: Systematic Review and Meta-analysis of Randomized Controlled Trials
Authors: Mazeas Alexandre , Duclos Martine , Pereira Bruno , Chalabaev Aïna 
Published: October 2021

BackgroundGamification refers to the use of game elements in nongame contexts. The use of gamification to change behaviors and promote physical activity (PA) is a promising avenue for tackling the global physical inactivity pandemic and the current prevalence of chronic diseases. However, there is no evidence of the effectiveness of gamified interventions with the existence of mixed results in the literature.ObjectiveThe aim of this systematic review and meta-analysis is to evaluate the effectiveness of gamified interventions and their health care potential by testing the generalizability and sustainability of their influence on PA and sedentary behavior.MethodsA total of 5 electronic databases (PubMed, Embase, Scopus, Web of Science, and the Cochrane Central Register of Controlled Trials) were searched for randomized controlled trials published in English from 2010 to 2020. Eligibility criteria were based on the components of the participants, interventions, comparators, and outcomes framework. Studies were included when they used gamified interventions in daily life with an active or inactive control group and when they assessed a PA or sedentary behavior outcome. We conducted meta-analyses using a random-effects model approach. Sensitivity analyses, influence analyses, and publication bias analyses were performed to examine the robustness of our results.ResultsThe main meta-analysis performed on 16 studies and 2407 participants revealed a small to medium summary effect of gamified interventions on PA behavior (Hedges g=0.42, 95% CI 0.14-0.69). No statistical difference among different subgroups (adults vs adolescents and healthy participants vs adults with chronic diseases) and no interaction effects with moderators such as age, gender, or BMI were found, suggesting good generalizability of gamified interventions to different user populations. The effect was statistically significant when gamified interventions were compared with inactive control groups, such as waiting lists (Hedges g=0.58, 95% CI 0.08-1.07), and active control groups that included a nongamified PA intervention (Hedges g=0.23, 95% CI 0.05-0.41). This suggests that gamified interventions are not only efficient in changing behavior but also more effective compared with other behavioral interventions. The long-term effect (measured with follow-up averaging 14 weeks after the end of the intervention) was weaker, with a very small to small effect (Hedges g=0.15, 95% CI 0.07-0.23).ConclusionsThis meta-analysis confirms that gamified interventions are promising for promoting PA in various populations. Additional analyses revealed that this effect persists after the follow-up period, suggesting that it is not just a novelty effect caused by the playful nature of gamification, and that gamified products appear effective compared with equivalent nongamified PA interventions. Future rigorous trials are required to confirm these findings.
Comparing Neuroplasticity Changes Between High and Low Frequency Gait Training in Subacute Stroke: Protocol for a Randomized, Single-Blinded, Controlled Study
Authors: Ahmedy Fatimah , Mohamad Hashim Natiara , Lago Herwansyah , Plijoly Leonard Protasius , Ahmedy Ismail , Idna Idris Mohd Yamani , Gani Abdullah , Sybil Shah Syahiskandar , Chia Yuen Kang 
Published: October 2021

Background
Walking recovery post stroke can be slow and incomplete. Determining effective stroke rehabilitation frequency requires the assessment of neuroplasticity changes. Neurobiological signals from electroencephalogram (EEG) can measure neuroplasticity through incremental changes of these signals after rehabilitation. However, changes seen with a different frequency of rehabilitation require further investigation. It is hypothesized that the association between the incremental changes from EEG signals and the improved functional outcome measure scores are greater in higher rehabilitation frequency, implying enhanced neuroplasticity changes.

Objective
The purpose of this study is to identify the changes in the neurobiological signals from EEG, to associate these with functional outcome measures scores, and to compare their associations in different therapy frequency for gait rehabilitation among subacute stroke individuals.

Methods
A randomized, single-blinded, controlled study among patients with subacute stroke will be conducted with two groups: an intervention group (IG) and a control group (CG). Each participant in the IG and CG will receive therapy sessions three times a week (high frequency) and once a week (low frequency), respectively, for a total of 12 consecutive weeks. Each session will last for an hour with strengthening, balance, and gait training. The main variables to be assessed are the 6-Minute Walk Test (6MWT), Motor Assessment Scale (MAS), Berg Balance Scale (BBS), Modified Barthel Index (MBI), and quantitative EEG indices in the form of delta to alpha ratio (DAR) and delta-plus-theta to alpha-plus-beta ratio (DTABR). These will be measured at preintervention (R0) and postintervention (R1). Key analyses are to determine the changes in the 6MWT, MAS, BBS, MBI, DAR, and DTABR at R0 and R1 for the CG and IG. The changes in the DAR and DTABR will be analyzed for association with the changes in the 6MWT, MAS, BBS, and MBI to measure neuroplasticity changes for both the CG and IG.

Results
We have recruited 18 participants so far. We expect to publish our results in early 2023.

Conclusions
These associations are expected to be positive in both groups, with a higher correlation in the IG compared to the CG, reflecting enhanced neuroplasticity changes and objective evaluation on the dose-response relationship.

International Registered Report Identifier (IRRID)
DERR1-10.2196/27935
Fibrossarcoma: relato de caso
Authors: Da Silveira Fontoura Heloisa Emília , Franco Neto da Costa Carlos Alfredo , Batista Burzlaff João , Gilberto Rosa Lauro , Quadros Onofre 
Published: October 2021

A case report of a fibrosarcoma of the mandible on a 13-years-old male pacient is discussed. The tumor was located on
gengival tissue in a region of teeth 44 and 45. The histological findings after biopsy were compatible with a fibromixoma,
but after surgery the final histological diagnosis were fibrosarcoma.
Defect induced cracking and modeling of fatigue strength for an additively manufactured Ti-6Al-4V alloy in very high cycle fatigue regime
Authors: Chi Weiqian , Wang Wenjing , Sun Chengqi 
Published: October 2021

Additively manufactured (AM) alloy usually inevitably contains defects
during manufacturing processor in service. Defects, as a harmful factor,
could significantly reduce the fatigue performance of materials. This
paper shows that the location and introduced form of defects play an
important role in high cycle and very high cycle fatigue (VHCF) behavior
of selective laser melting Ti-6Al-4V alloy. The fatigue life descends
linearly with stress amplitude for interior defect induced failure.
While for artificial surface defect induced failure, the fatigue life
descends at first, and then exhibits a plateau region feature. We also
observed competition of interior crack initiation with fine granular
area feature in VHCF regime. The paper indicates that only the size or
the stress intensity factor range of the defect is not an appropriate
parameter describing the effect of defect on the fatigue crack
initiation. Finally, the effect of artificial surface defect on high
cycle and VHCF strength is modeled, i.e. the fatigue strength σ,
fatigue life N and defect size ( area)
(square root of projection area of defect
perpendicular to principal stress direction) is expressed as σ=
CN( area)
for N0 and
σ= CN (
area) for
N≥N , where C, a and
n are constants, N is the number of cycles at
the knee point.
Cigarette affordability in Canadian provinces: a 10-year review
Authors: Worrell Melissa , Hagen Les 
Published: October 2021

Abstract

The association between pricing and cigarette consumption is long-established. However, the effects of taxation alone can be diminished if relative income increases. Therefore, affordability is seen as a key determinant of demand for cigarettes, as it combines the impact of changing prices with economic growth or wage increases. This brief analysis employs methods used by the World Health Organization in examining cigarette affordability, and explores the trend in affordability across Canadian provinces over a 10-year period, from 2009 to 2019. The discussion illustrates how monitoring affordability over time can help policy makers in Canadian provinces design tobacco taxation for maximum impact.
Responsabilidad del Estado en el uso de las redes sociales
Authors: Daza Pérez Mario Felipe 
Published: October 2021

Conforme con la sociedad digital actual, la interacción activa de los usuarios en plataformas como Facebook, Twitter, Instagram, Zoom, Teams, etcétera, ha hecho que se torne imperioso digitalizar las herramientas que nos gobiernan; concebir ahora las relaciones comunitarias, judiciales, administrativas telemáticamente, con mayor razón a partir del fenómeno de la pandemia del coronavirus, ha llevado incluso a que nuestro modo de vida se ajuste a nuevos paradigmas.
Los agentes del Estado constantemente publican, comentan, insultan, bloquean, informan en las plataformas, generando en ciertas ocasiones “daños antijurídicos”, materiales o inmateriales, de la cual irresponsablemente a veces con contenidos falsos o malintencionados lesionan los derechos de personas, esto con el fin de generar un interés nocivo en la comunidad. Todos los actos, hechos, acciones, operaciones, omisiones, pueden ocasionar, desde la perspectiva administrativa, una responsabilidad estatal, contractual o extracontractual, derivado del uso de las redes sociales.
Reliability of range-of-motion measurements of healthy dogs examined while walking on a treadmill
Authors: Pietsch Sebastian , Steigmeier-Raith Stephanie , Reese Sven , Meyer-Lindenberg Andrea 
Published: October 2021

Abstract

OBJECTIVE
To determine the reliability of range-of-motion (ROM) measurements and describe physiologic differences in ROM or habituation effects during gait analysis of healthy dogs walking on a treadmill.

ANIMALS
11 orthopedically normal dogs.

PROCEDURES
ROM of appendicular joints was determined for each dog while walking on a treadmill on 3 consecutive examination days and once again 6 weeks later. Significant differences in ROM between examination days were determined and quantified. As a measure of reproducibility, the coefficient of variation for repeated measurements was calculated, as were the minimum differences necessary to distinguish between physiologic variation and true change in ROM.

RESULTS
Mean ROM of the shoulder, elbow, and carpal joints varied among examination days between 29.9° and 33.1°, 49.4° and 52.8°, and 7.7° and 88.1°, respectively. Mean associated minimum differences were 12.0°, 14.1°, and 35.6°. Mean ROM of the hip, knee, and tarsal joints varied between 32.9° and 35.8°, 33.7° and 36.8°, and 31.7° and 33.5°, respectively. Mean associated minimum differences were 16.2°, 14.0°, and 9.2°. Only ROM of the elbow joint was reproducible to a small degree. Few systematic effects were detected.

CONCLUSIONS AND CLINICAL RELEVANCE
Measurement of ROM in healthy dogs walking on a treadmill was shown to be diagnostically unreliable owing to high variation among examination days. However, random physiologic fluctuations could be distinguished from systematic effects, demonstrating the importance of reliably applicable threshold values for follow-up treadmill examinations. The applicability of the minimum differences determined here to orthopedically diseased dogs remains to be determined.