Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Combined Versus Singular Verbal or Haptic Feedback on Acquisition, Retention, Difficulty, and Competence Perceptions in Motor Learning

While augmented feedback (AF) is widely acknowledged to affect motor learning, the effects of mode of feedback on motor learning acquisition, retention, and perceived competence has rarely been studied. The present investigation analyzes the effects of verbal, haptic, and combined (verbal and haptic) feedback when learning a novel gymnastic parallel bars task. Forty-eight physical education students and four expert gymnastics teachers participated in the study. We divided the students into three AF groups (verbal, haptic, and combined) and a no-feedback control group (CG). One gymnastics teacher led the learning sessions, while the others evaluated student performances following familiarization, acquisition, and retention learning phases. All sessions were video recoded, and the experts gave blind assessments according to an adapted gymnastic point code. We recorded task perceived difficulty (PD) and students' perceived self-competency throughout the sessions. A repeated measures analysis of variance revealed a significant effect of AF mode on acquisition and retention such that combined AF was best for learning stability and retention (19.1% improvement for combined vs. 9.9% for haptic and 6.9% for verbal). Similarly, participants in the combined AF group, relative to the verbal and haptic AF groups, also reported lower perceived difficulty and higher perceived self-competency after the retention phase. PE teachers are encouraged to combine verbal and haptic AF when teaching new motor skills.
Impact of Various Factors on Color Stability of Fresh Blueberry Juice during Storage

The attractive purple color of blueberries (Vaccinium spp.) is unstable and susceptible to degradation during food processing and storage. The effects of various factors on the color stability of fresh blueberry juice were investigated. Total soluble solid content, pH, and total anthocyanin content were measured. Heating at 30°C and 60°C for 300 min did not influence the color stability, but heating at 100°C drastically decreased it by 33.0%. Sugars decreased color in a concentration-dependent manner. However, glucose and galactose had significantly protective effects on the color disruption than fructose, maltose, and sucrose. Organic acids lowered the color intensity in the order of citric acid> tartaric acid> malic acid> formic acid> acetic acid during 10 days of storage. Color decreased faster during long-term light exposure than in the dark. The color in the dark was kept by 58.7% after 7 weeks, while 48.9% in the light. Color retention was significantly decreased to 93.5% and 93.8% at 4°C and −20°C, respectively, after 7 weeks, while 95.40% at −75°C. We suggest that blueberry juice color can be protected by keeping the extraction temperature below 60°C with the selective addition of glucose, galactose, or citric acid. For long-term storage, it is recommended to use a light-protected container and a deep freezer at −75°C.
Numerical methods for fractional partial differential equations

ABSTRACT In this review paper, we are mainly concerned with the finite difference methods, the Galerkin finite element methods, and the spectral methods for fractional partial differential equations (FPDEs), which are divided into the time-fractional, space-fractional, and space-time-fractional partial differential equations (PDEs). Besides, fast algorithms for the FPDEs are included in order to stimulate more efficient algorithms for high-dimensional FPDEs.
Sampling Considerations for Disease Surveillance in Wildlife Populations

Abstract Disease surveillance in wildlife populations involves detecting the presence of a disease, characterizing its prevalence and spread, and subsequent monitoring. A probability sample of animals selected from the population and corresponding estimators of disease prevalence and detection provide estimates with quantifiable statistical properties, but this approach is rarely used. Although wildlife scientists often assume probability sampling and random disease distributions to calculate sample sizes, convenience samples (i.e., samples of readily available animals) are typically used, and disease distributions are rarely random. We demonstrate how landscape-based simulation can be used to explore properties of estimators from convenience samples in relation to probability samples. We used simulation methods to model what is known about the habitat preferences of the wildlife population, the disease distribution, and the potential biases of the convenience-sample approach. Using chronic wasting disease in free-ranging deer (Odocoileus virginianus) as a simple illustration, we show that using probability sample designs with appropriate estimators provides unbiased surveillance parameter estimates but that the selection bias and coverage errors associated with convenience samples can lead to biased and misleading results. We also suggest practical alternatives to convenience samples that mix probability and convenience sampling. For example, a sample of land areas can be selected using a probability design that oversamples areas with larger animal populations, followed by harvesting of individual animals within sampled areas using a convenience sampling method.
Meta Anti-spoofing: Learning to Learn in Face Anti-spoofing

Face anti-spoofing is crucial to the security of face recognition systems. Previously, most methods formulate face anti-spoofing as a supervised learning problem to detect various predefined presentation attacks (PA). However, new attack methods keep evolving that produce new forms of spoofing faces to compromise the existing detectors. This requires researchers to collect a large number of samples to train classifiers for detecting new attacks, which is often costly and leads the later newly evolved attack samples to remain in small scales. Alternatively, we define face anti-spoofing as a few-shot learning problem with evolving new attacks and propose a novel face anti-spoofing approach via meta-learning named Meta Face Anti-spoofing (Meta-FAS). Meta-FAS addresses the above-mentioned problems by training the classifiers how to learn to detect the spoofing faces with few examples. To assess the effectiveness of the proposed approach, we propose a series of evaluation benchmarks based on public datasets (\textit{e.g.}, OULU-NPU, SiW, CASIA-MFSD, Replay-Attack, MSU-MFSD, 3D-MAD, and CASIA-SURF), and the proposed approach shows its superior performances to compared methods.
Controlling air pollution in a city: A perspective from SOAR‐PESTLE analysis

Strengths, opportunities, aspirations, and results (SOAR) analysis is a strategic planning framework that helps organizations focus on their current strengths and opportunities to create a vision of future aspirations and the results they will bring. PESTLE is an analytical framework for understanding external influences on a business. This research paper describes a field study and interviews of city hall managers from the city of Mashhad, Iran, conducted to investigate the application of SOAR and PESTLE frameworks for managing Mashhad's air pollution. Strategies are prioritized by the technique for order of preference by similarity to ideal solution (TOPSIS), Shannon entropy (SE), and analytic network process (ANP) multicriteria decision‐making (MCDM) methods, considering economic conditions, managers’ opinions, consensus, city council approvals, and national documents. The results of this research study show that creating centralized databases, supporting local governments, and developing smart city infrastructure, with weights of 0.194, 0.182, and 0.161, respectively, are the highest ranked strategies for managing air pollution in Mashhad. It can also be concluded that citizen involvement is key to achieving success in the employment of any management strategy. Integr Environ Assess Manag 2018;14:480–488. © 2018 SETAC
Continuous Electroencephalography Monitoring for Critically Ill Neonates: A Canadian Perspective

BACKGROUND Continuous EEG monitoring, in the form of amplitude-integrated (aEEG) or conventional EEG (cEEG), is used in the neonatal intensive care unit (NICU) to detect subclinical central nervous system pathologies, inform management, and prognosticate neurodevelopmental outcomes. To learn more about provider attitudes and current practices in Canada, we evaluated neurologist and neonatologist opinions regarding NICU EEG monitoring. METHODS A 15-item electronic questionnaire was distributed to 114 pediatric neurologists and 176 neonatologists working across 25 sites. RESULTS The survey was completed by 87 of 290 physicians. Continuous EEG monitoring is utilized by 97% of pediatric neurologists and 92% of neonatologists. Neurologists and neonatologists differ in their EEG monitoring preferences. For seizure detection and diagnosis of encephalopathy, significantly more neonatologists favor aEEG alone or in combination with cEEG, whereas most neurologists prefer cEEG (p = 0.047, 0.001). There is a significant difference in the perceived gaps in monitoring patients with cEEG between neonatologists (13% would monitor more) and neurologists (41% would monitor more) (p = 0.007). Half of all respondents (53%) reported that they would be interested in attending an education session on neonatal EEG monitoring. CONCLUSIONS Canadian neurologists and neonatologists do not agree on the best monitoring approach for critically ill neonates. Furthermore, neonatologists perceive a smaller cEEG monitoring gap as compared with neurologists. However, many participants from both specialties would like to increase long-term EEG monitoring in the NICU setting. Facilitating access to EEG monitoring and enhancing education may help to address these needs.
Obstructive Sleep Apnea in Children With Down Syndrome: Screening and Effect of Guidelines

Previous studies have shown low rates of screening for obstructive sleep apnea in children with Down syndrome (DS), a high-prevalence population. Our study investigated the impact of the 2011 American Academy of Pediatrics guidelines, which recommends screening for obstructive sleep apnea with polysomnogram by age 4 years. We conducted a retrospective chart review of patients 0 to 18 years of age with DS seen at a medical center between 2006 and 2016. Polysomnogram screening frequency was investigated and compared pre- and post-guideline publication. A total of 136 participants were identified. Thirty-two percent (44/136) of children with DS were referred for polysomnogram, all of whom had symptoms. Although overall referral frequency was unaffected, completion frequency by age 18 years improved after publication (30% [21/69] vs 19% [13/67]; P < .05). Notably, polysomnogram completion frequency by age 4 years improved after guidelines publication compared with prior (25% [17/69] vs 0% [0/67]; P < .0001).
Provable and Practical Approximations for the Degree Distribution using Sublinear Graph Samples

The degree distribution is one of the most fundamental properties used in the analysis of massive graphs. There is a large literature on graph sampling, where the goal is to estimate properties (especially the degree distribution) of a large graph through a small, random sample. Estimating the degree distribution of real-world graphs poses a significant challenge, due to their heavy-tailed nature and the large variance in degrees. We design a new algorithm, SADDLES, for this problem, using recent mathematical techniques from the field of sublinear algorithms. The SADDLES algorithm gives provably accurate outputs for all values of the degree distribution. For the analysis, we define two fatness measures of the degree distribution, called the h-index and the z-index. We prove that SADDLES is sublinear in the graph size when these indices are large. A corollary of this result is a provably sublinear algorithm for any degree distribution bounded below by a power law. We deploy our new algorithm on a variety of real datasets and demonstrate its excellent empirical behavior. In all instances, we get extremely accurate approximations for all values in the degree distribution by observing at most $1%$ of the vertices. This is a major improvement over the state-of-the-art sampling algorithms, which typically sample more than $10%$ of the vertices to give comparable results. We also observe that the h and z-indices of real graphs are large, validating our theoretical analysis.
Norepinephrine protects against apoptosis of mesenchymal stem cells induced by high glucose

In diabetes, the number of bone mesenchymal stem cells (MSCs) decreases and their differentiation is impaired. However, the exact mechanism is unclear. Patients with diabetes often experience sympathetic nerve injury. Norepinephrine (NE), a major mediator of the sympathetic nervous system, influences rat MSC migration in culture and in vivo. The present study aimed to investigate the effect of NE on MSCs under high glucose conditions; therefore MSCs were treated with high glucose and NE. High glucose‐induced MSCs apoptosis, which was reversed by NE. To verify the effect of NE, mice underwent sympathectomy and were used to establish a diabetic model. Diabetic mice with sympathectomy had a higher apoptosis rate and higher levels of reactive oxygen species in their bone marrow‐derived cells than diabetic mice without sympathectomy. High glucose inhibited p‐AKT production and B‐Cell CLL/Lymphoma 2 expression, and promoted BAX and caspase‐3 expression. NE reversed these effects of high glucose. An AKT inhibitor enhanced the effects of high glucose. Thus, NE had a protective effect on MSC apoptosis induced by high glucose, possibly via the AKT/BCL‐2 pathway.
Cannabinoid Receptors CB1 and CB2 Modulate the Electroretinographic Waves in Vervet Monkeys

The expression patterns of the cannabinoid receptor type 1 (CB1R) and the cannabinoid receptor type 2 (CB2R) are well documented in rodents and primates. In vervet monkeys, CB1R is present in the retinal neurons (photoreceptors, horizontal cells, bipolar cells, amacrine cells, and ganglion cells) and CB2R is exclusively found in the retinal glia (Müller cells). However, the role of these cannabinoid receptors in normal primate retinal function remains elusive. Using full-field electroretinography in adult vervet monkeys, we recorded changes in neural activity following the blockade of CB1R and CB2R by the intravitreal administration of their antagonists (AM251 and AM630, resp.) in photopic and scotopic conditions. Our results show that AM251 increases the photopic a-wave amplitude at high flash intensities, whereas AM630 increases the amplitude of both the photopic a- and b-waves. In scotopic conditions, both blockers increased the b-wave amplitude but did not change the a-wave amplitude. These findings suggest an important role of CB1R and CB2R in primate retinal function.
Outcome after catheter ablation for left atrial flutter

Abstract Objectives. Left atrial flutter has been reported in up to 10% of patients following pulmonary vein isolation or cardiac surgery. Left atrial flutter is typically highly symptomatic, responds poorly to medical antiarrhythmic treatment, and is often treated by catheter ablation. We aimed to investigate midterm freedom from recurrent arrhythmia after catheter ablation for left atrial flutter. Design. In the National Danish Ablation Registry, we identified consecutive patients, who had undergone catheter ablation for left atrial flutter between 1 January 2014 and 1 April 2017 at our centre. Results. A total of 53 patients (median age 68 years (IQR 60–71) 37 (70%) male) were included. Forty-two patients had prior left atrial catheter ablation procedures (79%), one patient prior ablation for classic atrial flutter (2%), four patients had prior surgery for congenital heart disease (8%), and six patients (11%) had no previous cardiac intervention. Acute procedural success, defined as non-inducibility of any atrial arrhythmia, was achieved in 45 of 53 patients (85%). During midterm follow-up (mean 20 ± 12 months), 26 patients experienced an episode of recurrent atrial arrhythmia. Median EHRA-score was 3 (range 2–4) before catheter ablation and reduced to median 1 (range 1–3) evaluated at follow-up visits after three and twelve months (both p < .001, Wilcoxon rank test). Conclusion. Left atrial flutter is preceded by catheter ablation or cardiac surgery in 89% of patients. Acute procedural success is achieved in majority of patients and ablation reduces symptoms effectively. During midterm follow-up, almost half the patients experience recurrent atrial arrhythmia.
From the battlefield to the bedroom: a multilevel analysis of the links between political conflict and intimate partner violence in Liberia

Objectives Assess the link between levels of armed conflict and postconflict intimate partner violence (IPV) experienced by women in Liberia. Methods Armed Conflict Location and Event Data Project data were used to measure conflict-related fatalities in districts in Liberia during the country’s civil war from 1999 to 2003. These data were linked to individual-level data from the 2007 Demographic and Health Survey, including past-year IPV. Multilevel logistic models accounting for the clustering of women within districts evaluated the relationship of conflict fatalities with postconflict past-year IPV. Additional conflict measures, including conflict events and cumulative years of conflict, were assessed. Results After adjusting for individual-level characteristics correlated with IPV, residence in a conflict fatality-affected district was associated with a 50% increase in risk of IPV (adjusted OR (aOR): 1.55, 95% CI 1.26 to 1.92). Women living in a district that experienced 4–5 cumulative years of conflict were also more likely to experience IPV (aOR 1.88, 95% CI 1.29 to 2.75). Conclusion Residing in a conflict-affected district even 5 years after conflict was associated with postconflict IPV. Policy implications Recognising and preventing postconflict IPV violence is important to support long-term recovery in postconflict settings.
Alteration of SF3B1 and SRSF2 Genes in Myelodysplastic Syndromes Patients in Upper Northern Thailand

Background: The frequency and pattern of mutation in SF3B1 and SRSF2 RNA splicing machinery genes were found to vary among myelodysplastic syndrome (MDS) patients in different populations. There have been less reports of incidence of these gene mutations in Thailand especially in upper northern Thailand. This study therefore had aims to investigate the frequency and pattern of mutation in mutational hotspot of SF3B1 and SRSF2 genes among MDS patients in upper northern Thailand and to investigate the clinical features associated with the mutations. Methods: Fifty-five MDS patients who underwent treatment at Maharaj Nakorn Chiang Mai Hospital participated in this study. The detection of SF3B1 and SRSF2 hotspot mutations was carried out using polymerase chain reaction followed by Sanger sequencing. In addition, clinical features of individual patients with these gene mutations were also investigated. Results: SF3B1 mutations (SF3B1mut) were found in 9 patients (16.4%) including E622D (1/9), R625C (1/9), H662Q (1/9), K700E (5/9), and Q699H co-mutation with K700E (1/9). SRSF2 mutations (SRSF2mut) were found in 4 patients (7.3%) which included P95H (3/4) and P95L (1/4). The SF3B1mut was associated with lower hemoglobin levels (p = 0.023) and higher platelet counts (p = 0.047) when compared with MDS patients without SF3B1mut, while SRSF2mut tended to occur in patients with a higher percentage of bone marrow blasts (p = 0.074). Conclusion: The findings confirmed the difference in frequency of SF3B1 and SRSF2 mutations among different populations. Specifically, we found a co-mutation of Q699H and K700E that has not been previously reported in MDS patients in the COSMIC database. It was also found that SF3B1mut was strongly associated with low hemoglobin level, and high platelet counts whereas SRSF2mut was mostly clustered in MDS with excess blasts subsequently increasing the probability of progression to acute myeloid leukemia.
Electroencephalographic Bicoherence Is Sensitive to Noxious Stimuli during Isoflurane or Sevoflurane Anesthesia

BackgroundThe authors previously reported changes in electroencephalographic bicoherence during isoflurane anesthesia combined with epidural anesthesia. Here, they examined the influence of noxious stimuli on electroencephalographic bicoherence as well as on the Bispectral Index (BIS) and the 95% spectral edge frequency (SEF95). MethodsThe authors enrolled 48 elective abdominal surgery patients (aged 22–77 years; American Society of Anesthesiologists physical status I or II). Raw electroencephalographic signals as well as BIS and SEF95 were recorded on a computer using a BIS® monitor (A-1050) and Bispectrum Analyzer (BSA) for BIS (the authors’ original software). Using BSA for BIS, the authors evaluated the two peak heights of electroencephalographic bicoherence. Anesthesia was induced with 3 mg/kg thiopental and was maintained with, in air–oxygen, 1.0% isoflurane or 1.5% sevoflurane. After confirming the steady state, the authors recorded baseline values. In experiment 1, they administered 3 &mgr;g/kg fentanyl 5 min after incision and investigated the changes in electroencephalographic derivatives at 5 and 10 min after incision. In experiment 2, they administered a similar dose of fentanyl 5 min before incision and investigated the changes in electroencephalographic derivatives immediately before and 5 min after incision. ResultsIn experiment 1, after incision, both peak heights of electroencephalographic bicoherence significantly decreased but returned to control values after fentanyl administration. By contrast, after incision, BIS and SEF95 showed individual variability. In experiment 2, although fentanyl itself did not affect all electroencephalographic derivatives before incision, the variables remained unchanged after incision. ConclusionNoxious stimuli decreased the peak heights of electroencephalographic bicoherence, an effect that was counteracted by fentanyl analgesia.