Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of a Competitive Season on Autonomic Heart Rate Modulation in Field Soccer Athletes

International Journal of Exercise Science 12(2): 1198-1205, 2019. The physical demands of soccer combined with the rigor of the competitive season may have a substantial impact on autonomic modulation in field soccer athletes. The number of sudden death cases associated with soccer may be related to the physical training required to maintain performance and fitness, minimal time for recovery, and recurrent game participation. It is possible to identify individuals at risk of cardiovascular events by measuring heart rate variability (HRV), which is an indirect method for assessing autonomic activity. Therefore, the objective of this study was to analyze HRV before and after a period of field soccer competition. We evaluated 17 healthy male professional field soccer athletes and 12 untrained controls. The HRV was analyzed during supine rest before and after a period of field soccer competition. The following parameters were evaluated: interval R wave variation (RR), standard deviation of normal–normal intervals (SDNN), Root-mean-square successive difference (RMSSD), low frequency component (LF), high-frequency component (HF) and sympathovagal balance (LF/HF). Results indicated that the RR (p < .05, ES: 2.77), SDNN (p < .05, ES: 1.70), LF (p < .05, ES: 1.86), HF (p <.05, ES: 0.89) and LF/HF (p < .05, ES: 0.89) all decreased after the competition in the professional athletes with no change observed in the control group. In conclusion, the data suggest that a soccer competition negatively influences the autonomic regulation of heart rate.
Characterization of the photosynthetic conditions and pigment profiles of the colour strains of Hypnea musciformis from field-collected and in vitro cultured samples

Hypnea musciformis (Wulfen) JV Lamour. is a species of great economic interest as it produces Κ-carrageenan and has shown biological activities against HIV and HSV viruses. This species displays different colour strains in its natural habitat, which may have implications for the biotechnological potential of the species. The aim of this study was to characterize the photosynthetic apparatus and pigment profile of three colour strains of H. musciformis (green, brown and red) in their natural habitat and in culture. Chlorophyll a fluorescence of photosystem II was measured with a pulse-amplitude modulated fluorometer and pigments were quantified by spectrofluorimetry (chlorophyll a) and spectrophotometry (phycobiliproteins). In the natural habitat, we detected significant differences between the colour strains for the following photochemical parameters: the green strain had a higher effective quantum yield (ΦPSII) than the red strain and a higher maximum relative electron transport rate (rETRmax) than the brown and red strains. Saturation irradiances were 1000 µE. m-2.s-1 (green) and 500 µE. m-2.s-1 (brown and red). Concerning in vitro culture, the green strain presented the lowest ΦPSII, rETRmax, and α rETR, while the brown strain presented the highest values for these same parameters. The chlorophyll a content of the cultured green strain was the lowest. The phycoerythrin contents of the three colour strains were unchanged by either natural of in vitro conditions: lower in green, intermediate in brown and higher in the red strain, ensuring the chromatic identity of the strains. Our results suggest that the green strain has a better performance when exposed to high irradiance, but a lower efficiency under low irradiance compared to the brown and red strains.
Size of the largest induced forest in subcubic graphs of girth at least four and five

In this article, we address the maximum number of vertices of induced forests in subcubic graphs with girth at least four or five. We provide a unified approach to prove that every 2‐connected subcubic graph on n vertices and m edges with girth at least four or five, respectively, has an induced forest on at least n−29m or n−15m vertices, respectively, except for finitely many exceptional graphs. Our results improve a result of Liu and Zhao and are tight in the sense that the bounds are attained by infinitely many 2‐connected graphs. Equivalently, we prove that such graphs admit feedback vertex sets with size at most 29m or 15m , respectively. Those exceptional graphs will be explicitly constructed, and our result can be easily modified to drop the 2‐connectivity requirement.
Modeling of Rotating Shaft with Partial Rubbing

We have created the rotating machinery library to carry out analytical investigations for diagnosis by transfer matrix method in Modelica. In this paper, rubbing components for partial rub are implemented in our rotating machinery library. In this research, the model in which the rotor come into contact from a non-contact state by a pulsating external force is analyzed. The relationship between the contact configurations and the generation of various kinds of vibration is investigated. We validated the rubbing model in one side contact case with a rotor kit. By simulation, we reproduced the time history, the orbit and the full spectrum characteristics of the rotating shaft measured by the experiment precisely.
Virtual Reality Based Education with Mobile Device Platform

)e objective of this special issue is to address the virtual reality based education system in the enhancement of learners’ motivation, engagement, immersion, satisfaction, and transfer of learning. Many papers were submitted, and after a thorough peer-review process, five papers were selected to be included in this special issue. )ese research studies provide invaluable insights into understanding and applying virtual reality from a multidisciplinary point of view. )is special issue includes high-quality and original research papers addressing research achievements, practices, theoretical framework, and challenges for virtual reality based education platform with mobile devices. We believe that the published papers in this special issue introduce readers to the latest advances in the field. )e paper by M. Hernández-Ordoñez et al. presents an education platform consisting of a homemade robotic arm, a control system, and the RAR@pp for teaching robotic arm manipulation concepts. In the paper, they apply augmented reality technology for the visualization of the articulation arm angles. )e paper by H. Kim et al. proposes a novel, virtual reality based cyber-physical education system for efficient education in virtual reality on a mobile platform which can integrate the real world into virtual reality using cyberphysical systems technology. )e paper by S. Jeon designed a user-adaptive tactile keyboard on mobile device and then investigated how tactile feedback intensity of the virtual keyboard in mobile devices affects typing speed and user preference. )e paper by K. Choi et al. developed a multilayer 360° VR representation with image-based interactions such as mesh deformation and water simulation, which enables users to realistically interact with 360° panoramic contents without consuming excessive computational resources. On the basis of this representation, they designed and implemented play-based learning scenarios to increase the interactivity and immersion of users. )e paper by M. K. Jin presents an evaluation tool for VR-training contents based on mobile environments. After categorizing VR-training contents in the field of tech education into structure comprehension type, procedure learning type, and equipment experiment type contents, they constructed items for each evaluation area.
Crucial Role of Microbiota in Experimental Psoriasis Revealed by a Gnotobiotic Mouse Model

Psoriatic patients have altered microbiota, both in the intestine and on the skin. It is not clear, however, whether this is a cause or consequence of the disease. In this study, using an experimental mouse model of psoriasis induced by imiquimod (IMQ), we show that oral treatment with a broad spectrum of antibiotics (MIX) or metronidazole (MET) alone mitigates the severity of skin inflammation through downregulation of Th17 immune response in conventional mice. Since some antibiotics, including MET, can influence immune system reactivity, we also evaluated the effect of MIX in the same model under germ-free (GF) conditions. GF mice treated with MET did not show milder signs of imiquimod-induced skin inflammation (IISI) which supports the conclusion that the therapeutic effect is mediated by changes in microbiota composition. Moreover, compared to controls, mice treated with MIX had a significantly higher abundance of the genus Lactobacillus in the intestine and on the skin. Mice treated with MET had a significantly higher abundance of the genera Bifidobacterium and Enterococcus both on the skin and in the intestine and of Parabacteroides distasonis in the intestine. Additionally, GF mice and mice monocolonized with either Lactobacillus plantarum or segmented filamentous bacteria (SFB) were more resistant to IISI than conventional mice. Interestingly, compared to GF mice, IMQ induced a higher degree of systemic Th17 activation in mice monocolonized with SFB but not with L. plantarum. The present findings provide evidence that intestinal and skin microbiota directly regulates IISI and emphasizes the importance of microbiota in the pathogenesis of psoriasis.
Sickle Cell Disease and Fetal Hemoglobin

Sickle cell disease (SCD) is a genetically inherited abnormality of the β‐hemoglobin gene, referred to as hemoglobin S, affecting millions of people worldwide. Despite evidence that child death rates from SCD are declining, the relative burden of child morbidity and disability will increase in the coming decades. Projections by Piel et al.[1] have shown a 30% increase in SCD births by 2050, which underscores the need to develop novel and effective therapies. However, lack of suitable tools to test promising experimental drug therapies hamper further progress.
Evaluation of Response to Hepatitis B Vaccination in Chronic Hemodialysis Patients

Background: Hemodialysis (HD) patients are at an increased risk of acquiring hepatitis B virus (HBV) infection. Active HBV immunization in these patients is recommended. A response rate in HD patients is variable but generally lower than healthy individuals. Objective: The aim of this study is to assess the response of HD patients to the HBV vaccine and correlate response and long-term immunity to various clinical and biomedical factors. Patients and Methods: One hundred and one patients, with a mean age 48.7 ± 18.5 years, received 40 μg of HBV vaccine administered intramuscularly in the deltoid region at 0, 1, 2 and 6 months. The patients' responses to the vaccine were determined by measuring hepatitis B surface antibody (HBsAb) 6 weeks after the last injection and monitored thereafter at 3-month intervals. Results: Seventy-one patients (70.3%) mounted a response with HBsAb >10 mIU/ml 6 weeks following the fourth dose of vaccine, and thus were considered considered as adequate responders. Forty-nine (48.5%) patients mounted an excellent response with HBsAb >100 mIU/ml 6 weeks after the fourth dose. Thirty patients (29.7%) were nonresponders. Responders were significantly younger than nonresponders (P = 0.01). Gender, hemoglobin level, serum albumin, ferritin, parathyroid hormone level and hepatitis C virus infection had no effect on the response to the vaccine. Similarly, there was no difference in diabetic state and adequacy of HD between the two groups. Fifty-nine patients (88%) had persistent protective antibodies at 1 year, while eight (12%) lost such protection. Predictors of persistent immunity at 1 year were high HBsAb level at the completion of the vaccination regime and, to a lesser extent, young age. Conclusion: A 70% response rate to HBV vaccine was observed in the cohort of this study. Young age predicts a favorable response to HBV vaccine in HD patients. High (>100 mIU/ml) HBsAb levels achieved at vaccine completion predict persistent immunity at 1 year.
Koch – Bayesian Image Restoration by Markov Chain Monte Carlo Methods

To smooth digital images while preserving the edges of an image, the Bayesian analysis is applied. The prior information that the image is smooth except for the edges is introduced by a Gibbs distribution based on a modification of the density of Huber (1964) for robust parameter estimation. The analytical solution for estimating the intensity level of one pixel leads to the very fast estimation by iterated conditional modes (ICM) of Besag (1986). Applying it to the smoothing of a digital image, the results show an excellent edge preserving quality. They agree numerically with the estimates of Markov Chain Monte Carlo methods, i. e. the Gibbs sampler and the Metropolis algorithm. The method ICM therefore gives a maximum a posteriori (MAP) estimate.
K-th Nearest Neighbor (KNN) Entropy Estimates of Complexity and Integration from Ongoing and Stimulus-Evoked Electroencephalographic (EEG) Recordings of the Human Brain

Information-theoretic measures for quantifying multivariate statistical dependence have proven useful for the study of the unity and diversity of the human brain. Two such measures–integration, I(X), and interaction complexity, CI(X)–have been previously applied to electroencephalographic (EEG) signals recorded during ongoing wakeful brain states. Here, I(X) and CI(X) were computed for empirical and simulated visually-elicited alpha-range (8–13 Hz) EEG signals. Integration and complexity of evoked (stimulus-locked) and induced (non-stimulus-locked) EEG responses were assessed using nonparametric k-th nearest neighbor (KNN) entropy estimation, which is robust to the nonstationarity of stimulus-elicited EEG signals. KNN-based I(X) and CI(X) were also computed for the alpha-range EEG of ongoing wakeful brain states. I(X) and CI(X) patterns differentiated between induced and evoked EEG signals and replicated previous wakeful EEG findings obtained using Gaussian-based entropy estimators. Absolute levels of I(X) and CI(X) were related to absolute levels of alpha-range EEG power and phase synchronization, but stimulus-related changes in the information-theoretic and other EEG properties were independent. These findings support the hypothesis that visual perception and ongoing wakeful mental states emerge from complex, dynamical interaction among segregated and integrated brain networks operating near an optimal balance between order and disorder.
An Evaluation of the Relationship between Service Quality in Primary Education and Parent Satisfaction

The education is not only a major sector nowadays, but it is also an investment by parents for their children. This study aims to investigate the effect of the dimensions (reliability, tangibility, responsiveness, assurance and empathy) of service quality in primary education on parent satisfaction. This research is conducted in a public primary school and self-administered questionnaire is used to collect the related data. Data is collected based on SERVQUAL model through distributing 400 questionnaires to randomly selected parents in Celal Avsar Primary School in Turkey. The results of this study show that the tangibility, the reliability, the assurance and the empathy of service quality are important dimensions and they have significant positive effect on parent satisfaction.
Diffuse midline glioma with an H3 K27M mutation: A comparison integrating the clinical, radiological, molecular features between adult and pediatric patients.

BACKGROUND Diffuse midline glioma (DMG), H3 K27M-mutant occurs in both adult and pediatric populations. The characteristics of the two DMG groups were systematically explored in this study. METHODS One-hundred-sixteen patients diagnosed with H3 K27M-mutant DMG in Beijing Tiantan Hospital from May 2016 to December 2018 were included. Patients were classified into adult group (n=57, 49.1%) and pediatric group (n=59, 50.9%). The clinical, radiological and molecular features were compared between the groups. Univariate and multivariate analyses were performed to identify prognostic factors. RESULTS Compared with the adult group, pediatric patients had a younger age (8.9±4.1 vs. 35.1±11.8 years, P<0.001), a lower preoperative Karnofsky performance scale score (62.9±15.5 vs. 72.1±16.5, P=0.004), a lower rate of total resection (5.7% vs. 26.8%, P=0.009), a larger tumor size (4.4±0.9 vs. 3.9±1.5 cm, P=0.045), a higher Ki-67 index (63.0% vs. 37.8%, P=0.047), and higher rates of postoperative cranial nerve palsy (61.0% vs. 36.8%, P=0.009) and ataxia (45.8% vs. 26.3%, P=0.029). Adult DMG was predominantly located in the thalamus, while the predilection site for pediatric DMG was brainstem (P<0.001). Kaplan-Meier plot showed that the median survival of adult and pediatric DMG was 16.0 (9.7-22.3) months and 10.0 (8.3-11.7) months, respectively, which imparted a significant difference (P=0.008). Age at diagnosis, radiotherapy, motor deficit and hydrocephalus were confirmed as independent prognostic factors according to the multivariate analysis (P<0.05). CONCLUSION Compared with adult patients, children with H3 K27M-mutant DMG confer distinct clinical, radiological and molecular characteristics, and have a dismal prognosis. Radiotherapy is an independent factor associated with prolonged survival.
Factors That Influence Adoption of Cloud Computing: An Empirical Study of Australian SMEs

Cloud computing is a recent computing paradigm enabling organizations to have access to sophisticated computing services via the Internet on a fee-for-service basis. It provides Small and Medium-sized Enterprises (SMEs) with opportunities to become as technologically advanced as their larger counterparts, without significant financial outlays. This paper examined the important factors that influence SMEs’ adoption of cloud computing technology. Drawing upon aspects of the Technology, Organization and Environment framework and Diffusion of Innovation Theory, we developed a research model of SMEs’ adoption of cloud computing and tested it through an online survey of 149 Australian SMEs. Data was analyzed using multiple regression methods, with results showing that SMEs were influenced by factors related to advantaging their organizational capability (i.e., relative advantage, quality of service and awareness) rather than risk-related factors (i.e., security, privacy and flexibility). The findings offer insights to SMEs owners, Cloud service providers and government in establishing Cloud computing adoption strategies for SMEs.
Synchronous and proportional deglacial changes in Atlantic meridional overturning and northeast Brazilian precipitation

Changes in heat transport associated with fluctuations in the strength of the Atlantic meridional overturning circulation (AMOC) are widely considered to affect the position of the Intertropical Convergence Zone (ITCZ), but the temporal immediacy of this teleconnection has to date not been resolved. Based on a high resolution marine sediment sequence over the last deglaciation, we provide evidence for a synchronous and near-linear link between changes in the Atlantic interhemispheric sea surface temperature difference and continental precipitation over northeast Brazil. The tight coupling between AMOC strength, sea surface temperature difference and precipitation changes over northeast Brazil unambiguously points to a rapid and proportional adjustment of the ITCZ location to past changes in the Atlantic meridional heat transport.
Vote for Me! Election Control via Social Influence in Arbitrary Scoring Rule Voting Systems

Online social networks are used to diffuse opinions and ideas among users, enabling a faster communication and a wider audience. The way in which opinions are conditioned by social interactions is usually called social influence. Social influence is extensively used during political campaigns to advertise and support candidates. Herein we consider the problem of exploiting social influence in a network of voters in order to change their opinion about a target candidate with the aim of increasing his chance to win/lose the election in a wide range of voting systems. We introduce the Linear Threshold Ranking, a natural and powerful extension of the well-established Linear Threshold Model, which describes the change of opinions taking into account the amount of exercised influence. We are able to maximize the score of a target candidate up to a factor of $1-\frac{1}{e}$ by showing submodularity. We exploit such property to provide a $\frac{1}{3}(1-\frac{1}{e})$-approximation algorithm for the constructive election control problem. Similarly, we get a $\frac{1}{2}(1-\frac{1}{e})$-approximation ratio in the destructive scenario. The algorithm can be used in arbitrary scoring rule voting systems, including plurality rule and borda count. Finally, we perform an experimental study on real-world networks, measuring Probability of Victory (PoV) and Margin of Victory (MoV) of the target candidate, to validate the model and to test the capability of the algorithm.
Effect of variable CO2 on eclogite‐derived andesite and lherzolite reaction at 3 GPa—Implications for mantle source characteristics of alkalic ocean island basalts

We have performed reaction experiments between 1, 4, and 5 wt % CO2‐bearing MORB‐eclogite (recycled oceanic crust)‐derived low‐degree andesitic partial melt and fertile peridotite at 1375°C, 3 GPa for infiltrating melt fractions of 25% and 33% by weight. We observe that the reacted melts are alkalic with degree of alkalinity or Si undersaturation increasing with increasing CO2 content in reacting melt. Consequently, an andesite evolves through basanite to nephelinite owing to greater drawdown of SiO2 from melt and enhanced precipitation of orthopyroxene in residue. We have developed an empirical model to predict reacted melt composition as a function of reacting andesite fraction and source CO2 concentration. Using our model, we have quantified the mutual proportions of equilibrated melt from andesite‐peridotite (+ CO2) hybridization and subsequent peridotite (± CO2)‐derived melt required to produce the major element composition of various ocean island basalts. Our model can thus be applied to characterize the source of ocean islands from primary alkalic lava composition. Accordingly, we determined that average HIMU source requires 24 wt % of MORB‐eclogite‐derived melt relative to peridotite containing 2 wt % CO2 and subsequent contribution of 45% of volatile‐free peridotite partial melt. We demonstrate that mantle hybridization by eclogite melt‐peridotite (± CO2) reaction in the system can produce high MgO (>15 wt %) basaltic melts at mantle potential temperature (TP) of 1350°C. Therefore, currently used thermometers to estimate TP using MgO content of primary alkalic melts need to be revised, with corrections for melt‐rock reaction in a heterogeneous mantle as well as presence of CO2.