Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting Continued Participation in Government-Initiated Public Sports Clubs: The Role of Prior Knowledge and Awareness through Health Communications

Physical activity is the most effective preventive medicine in enhancing our physical health and subjective wellbeing. Since 2013, the South Korean government has introduced and developed the public sports club system as a way to promote exercise and the health of the general public. The current study investigated factors underlying the general public’s desires and intentions to join or participate in a public sports club (PSC) using the model of goal-directed behavior (MGB). Data were collected from 254 college students who had prior experience of participating in at least one PSC and were primarily analyzed using structural equation modeling (SEM). The results suggest that, among the five MGB determinants, the positive anticipated emotions and perceived behavioral control were significantly associated with participants’ desires, and, in turn, their desires were significantly related to their intention to participate in PSCs. Meanwhile, the respondents’ prior experience was marginally but significantly associated with desire but not with behavioral intention. Prior knowledge (through health communications) was significantly related to attitude, desire, and behavioral intention. Overall, the findings support the use of positive anticipated emotions, perceived behavioral condition, prior knowledge, and desire as indicators of participation behavior in the PSC context, and may aid the development of health communication and interventions aimed at encouraging future participation.
On Relative-Output Feedback Approach for Group Consensus of Clusters of Multiagent Systems

In this article, the group consensus problem is addressed for a network of multiagent systems (MASs). Unlike in existing literature, where a relative-state feedback-based distributed control input is used to achieve group consensus, this work aims at designing a relative-output-based distributed control law to achieve the same goal. To that effect, the Lyapunov stability theory is used to formulate the sufficient and necessary conditions for the existence of such a feedback controller and then separate conditions have been included for its design. In addition to that, a new linear matrix inequality is explored to choose the intracluster coupling strengths to ensure group consensus. In this article, the relative-output-based control approach is investigated for both the leaderless and the leader-following frameworks of the group consensus problem, and the theoretical findings presented are validated using numerical examples and simulation results.
Oxygen vacancy-rich 2D/0D BiO1−XBr/AgBr Z-scheme photocatalysts for efficient visible light driven degradation of tetracycline

Semiconductor-based photocatalytic technology, as a green and promising avenue in response to the abuse of antibiotic pollution and human health crisis, is restricted by the limited photo-absorption and fast recombination of photogenerated carriers. In this paper, all these challenges were settled by AgBr particles incorporated into oxygen-deficient BiOBr nanosheets, forming novel oxygen vacancy (OV)-rich 2D/0D Z-scheme heterojunctions. Z-scheme photocatalytic system has an effective separation rate of photogenerated carriers and an ability to maintain original redox capacity. Moreover, introducing OVs in the Z-scheme can not only improve the visible light absorption ability, but also serve as recombination centers, thus promoting the separation of electrons and holes. Notably, the photocatalytic activity of 2D/0D BiO1−XBr/AgBr (2:1) was significantly improved under the irradiation of visible light, removing 81% of tetracycline after 25 min, which was about 2.62 times and 2.03 times as high as those of BiO1−XBr and AgBr, respectively. In addition, the 2D/0D BiO1−XBr/AgBr (2:1) indicated high photocatalytic stability and reusability, and its tetracycline degradation efficiency remained stable after five cycles. In summary, this work suggests that the photocatalysts have a great potential to remove TC and provides a possible strategy for purifying water.
Construct Validity and Reliability of the Children Participation Assessment Scale-Child version in Children with Physical Disabilities

Objective This study was conducted to determine the construct validity and reliability of the Children Participation Assessment Scale in activities outside of School–Child version (CPAS-C) in 6-12-year-old children with physical disabilities (PDs). Materials & Methods In this methodological study, participants were 100 children with PDs, recruited from a school for exceptional children with physical-motor disabilities and 100 normally developing children. For assessing the test-retest reliability (ICC), 40 children with PDs completed CPAS-C within a two-week interval, and for assessing the internal consistency (Cronbach's alpha) and construct validity, 100 children with PDs separately completed the Vinland Adaptive Behavioral Scale (VABS) and CPAS-C. Result The majority of participants were children with CP, among whom the highest and lowest ratios were related to diplegia (32%) and dystonia (1%), respectively. The results showed that CPAS-C had acceptable reliability (ICC: 0.6-0.99). Cronbach’s α score was between weak to moderate (α = 0.25-0.75). The difference in the score of participation between the two groups (normally developing children and children with physical disabilities) was significant in all areas (P<0.001). Conclusion The CPAS-C had acceptable psychometric properties; it can be used as a valid and reliable tool for assessing the participation of 6-12-year-old children with PDs in school activities.
Topography of the Anxious Self: Abnormal Rest-Task Modulation in Social Anxiety Disorder

Social anxiety disorder (SAD) is characterized by social anxiety/fear, self-attention, and interoception. Functional magnetic resonance imaging studies demonstrate increased activity during symptom-sensitive tasks in regions of the default-mode network (DMN), amygdala (AMG), and salience network (SN). What is the source of this task-unspecific symptom-sensitive hyperactivity in DMN? We address this question by probing SAD resting state (rs) changes in DMN including their relation to other regions as possible source of task-unspecific hyperactivity in the same regions. Our findings show the following: (1) rs-hypoconnectivity within-DMN regions; (2) rs-hyperconnectivity between DMN and AMG/SN; (3) task-evoked hyperactivity in the abnormal rs-regions of DMN and AMG/SN during different symptom-sensitive tasks; (4) negative relationship of rest and task changes in especially anterior DMN regions as their rs-hypoconnectivity is accompanied by task-unspecific hyperactivity; (5) abnormal top-down/bottom-up modulation between anterior DMN regions and AMG during rest and task. Findings demonstrate that rs-hypoconnectivity among DMN regions is negatively related to task-unspecific hyperactivity in DMN and AMG/SN. We propose a model of “Topography of the Anxious Self” in SAD (TAS-SAD). Abnormal DMN-AMG/SN topography during rest, as trait feature of an “unstable social self”, is abnormally aggravated during SAD-sensitive situations resulting in task-related hyperactivity in the same regions with an “anxious self” as state feature.
The relation between microdosimetry and induction of direct damage to DNA by alpha particles

In radiopharmaceutical treatments α-particles are employed to treat tumor cells. However, the mechanism that drives the biological effect induced is not well known. Being ionizing radiation, α-particles can affect biological organisms by producing damage to the DNA, either directly or indirectly. Following the principle that microdosimetry theory accounts for the stochastic way in which radiation deposits energy in sub-cellular sized volumes via physical collisions, we postulate that microdosimetry represents a reasonable framework to characterize the statistical nature of direct damage induction by α-particles to DNA. We used the TOPAS-nBio Monte Carlo package to simulate direct damage produced by monoenergetic alpha particles to different DNA structures. In separate simulations, we obtained the frequency-mean lineal energy ( yF ) and dose-mean lineal energy ( yD ) of microdosimetric distributions sampled with spherical sites of different sizes. The total number of DNA strand breaks, double strand breaks (DSBs) and complex strand breaks per track were quantified and presented as a function of either yF or yD. The probability of interaction between a track and the DNA depends on how the base pairs are compacted. To characterize this variability on compactness, spherical sites of different size were used to match these probabilities of interaction, correlating the size-dependent specific energy ( z ) with the damage induced. The total number of DNA strand breaks per track was found to linearly correlate with yF and zF when using what we defined an effective volume as microdosimetric site, while the yield of DSB per unit dose linearly correlated with yD or zD, being larger for compacted than for unfolded DNA structures. The yield of complex breaks per unit dose exhibited a quadratic behavior with respect to yD and a greater difference among DNA compactness levels. Microdosimetric quantities correlate with the direct damage imparted on DNA.
Effects of antiepileptic drugs on ovaries of female Wistar rats

ABSTRACT Valproate (VPA) induced changes in ovarian morphology are observed in humans with epilepsy and in non-epileptic animals. The effects of lamotrigine (LTG) on female reproduction is not well known. We investigated whether LTG might be a safer drug for use with patients of reproductive age. Forty Wistar albino female rats were divided into five groups. The control group was injected with saline-vehicle solution. The low dose (LD)-VPA group was injected with 100 mg/kg VPA. The high dose (HD)-VPA group was injected with 500 mg/kg VPA. The LD-LTG group was injected with 10 mg/kg LTG. The HD-LTG group was injected with 50 mg/kg LTG. We evaluated histological and biochemical changes in the ovaries. The number of atretic and cystic follicles was increased in the HD-VPA and HD-LTG groups compared to the control group. A significant increase in malondialdehyde level was found in the VPA groups compared to the control and LTG groups. No significant differences in total glutathione levels or superoxide dismutase activity were found among study groups. Catalase activity was significantly higher in HD-VPA and HD-LTG groups compared to the control, LD-VPA and LD-LTG groups. Prevalence and intensity of caspase-3 immunoreactivity in the luteal cells were significantly greater in the HD-LTG group compared to the control group. VPA administration caused polycystic ovarian syndrome-like changes in the ovary. We found that LD-LTG, which reflects the dose for humans, might be a safer option for use during the reproductive age.
Relative precision of the sibship and LD methods for estimating effective population size with genomics-scale datasets

Computer simulations were used to compare relative precision of two widely-used single-sample methods for estimating effective population size (Ne)—the sibship method and the linkage-disequilibrium (LD) method. Emphasis is on performance when thousands of gene loci are used, which now can easily be achieved even for non-model species. Results show that unless Ne is very small, if at least 500-2000 diallelic loci are used, precision of the LD method is higher than the maximum possible precision for the sibship method, which occurs when all sibling relationships have been correctly identified. Results also show that when precision is high for both methods, their estimates of effective population size are high and positively correlated, which limits additional gains in precision that might be obtained by combining information from the two estimators.
Cavity-Free Ultrastrong Light-Matter Coupling

Strong coupling between light and matter can occur when the interaction strength between a confined electromagnetic field and a molecular resonance exceeds the losses to the environment, leading to the formation of hybrid light–matter states known as polaritons. Ultrastrong coupling occurs when the coupling strength becomes comparable to the transition energy of the system. It is widely assumed that the confined electromagnetic fields necessary for strong coupling to organic molecules can only be achieved with external structures such as Fabry–Pérot resonators, plasmonic nanostructures, or dielectric resonators. Here we show experimentally that such structures are unnecessary and that a simple dielectric film of dye molecules supports sufficiently modified vacuum electromagnetic fields to enable room-temperature ultrastrong light-matter coupling. Our results may be of use in the design of experiments to probe polaritonic chemistry and suggest that polaritonic states are perhaps easier to realize than previously thought.
Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort

Objective Develop and validate models that predict mortality of patients diagnosed with COVID-19 admitted to the hospital. Design Retrospective cohort study. Setting A multicentre cohort across 10 Dutch hospitals including patients from 27 February to 8 June 2020. Participants SARS-CoV-2 positive patients (age ≥18) admitted to the hospital. Main outcome measures 21-day all-cause mortality evaluated by the area under the receiver operator curve (AUC), sensitivity, specificity, positive predictive value and negative predictive value. The predictive value of age was explored by comparison with age-based rules used in practice and by excluding age from the analysis. Results 2273 patients were included, of whom 516 had died or discharged to palliative care within 21 days after admission. Five feature sets, including premorbid, clinical presentation and laboratory and radiology values, were derived from 80 features. Additionally, an Analysis of Variance (ANOVA)-based data-driven feature selection selected the 10 features with the highest F values: age, number of home medications, urea nitrogen, lactate dehydrogenase, albumin, oxygen saturation (%), oxygen saturation is measured on room air, oxygen saturation is measured on oxygen therapy, blood gas pH and history of chronic cardiac disease. A linear logistic regression and non-linear tree-based gradient boosting algorithm fitted the data with an AUC of 0.81 (95% CI 0.77 to 0.85) and 0.82 (0.79 to 0.85), respectively, using the 10 selected features. Both models outperformed age-based decision rules used in practice (AUC of 0.69, 0.65 to 0.74 for age >70). Furthermore, performance remained stable when excluding age as predictor (AUC of 0.78, 0.75 to 0.81). Conclusion Both models showed good performance and had better test characteristics than age-based decision rules, using 10 admission features readily available in Dutch hospitals. The models hold promise to aid decision-making during a hospital bed shortage.
Perinatal outcomes in women affected by different types of headache disorders: A prospective cohort study

Abstract Objective This study aims to investigate pregnancy and perinatal outcomes in women with tension-type headache, migraine without aura and migraine with aura by comparing them to women without any headache disorders. Study design Prospective cohort study including singleton pregnancies attending the first trimester aneuploidy screening at the University Hospital of Modena, in Northern Italy, between June 2018 and December 2019. Results A total of 515 consecutive women were included and headache disorders were reported in 43.5% of them (224/515). Tension-type headache was diagnosed in 24.3% of the cases, while 14% suffered from migraine without aura and 5.2% from migraine with aura. Birthweight was significantly lower in women affected by migraine with aura respective to other groups, and a significantly higher rate of small for gestational age infants was found in tension-type headache (10.4%) and in migraine with aura (24.9%) groups respective to the others (p < 0.001). Moreover, the admission to the neonatal intensive care unit was significantly higher in all the headache groups (p = 0.012). Multivariate analysis showed that women presenting tension-type headache (OR 4.19, p = 0.004), migraine with aura (OR 5.37, p = 0.02), a uterine artery pulsatility index >90th centile (OR 3.66, p = 0.01), low multiple of the median (MoM) of Pregnancy-associated plasma protein-A (PAPP-A) (OR 0.48, p = 0.05) and high MoM of Inhibin-A (OR 3.24, p = 0.03) at first trimester, are independently associated with the delivery of small for gestational age infants when compared to women without headache disorders. Conclusion Migraine with aura and tension type headache expose women to an increased risk of delivering small for gestational age infants, in association with some utero-placenta markers evaluated at first trimester. These women with headache disorders have an additional indication to undergo first trimester aneuploidy screening and would possibly benefit from specific interventions.
The Role of Micronutrient and Immunomodulation effect in the vaccine era of COVID-19.

Different dietary nutrients have distinct effects, including enhancing immune response activity and supporting mucous membrane integrity. These effects are critical in fighting against pathogenic agents, which cover COVID-19, the coronavirus disease that shuts down globally. Recent researches have shown that micronutrient deficiency is commonly associated with compromised immune responses, respiratory tract infections, or even susceptibility to COVID-19. The relationship between Vit A and infection is its role in mucosal epithelium integrity (skin and mucous membrane), the supplementation could be an option for assisted-treating the SARS-CoV-2 virus and a possible prevention of lung infection. Vit C/ascorbic acid stimulates oxygen radical scavenging activity of the skin and enhances epithelial barrier function. Ascorbic acid alone or with other natural compounds (baicalin and theafalvin) may inhibit the expression of angiotensin converting enzyme II in human small alveolar epithelial cells and limited the entry of SARS-CoV-2. Vitamin D receptors (VDRs) can be expressed by immune cells, and different immune cells (macrophages, monocytes, dendritic cells, T cells, and B cells) can convert Vit D into its active form 1,25-(OH)2 D. Oral vitamin D intake can be a readily way to restrict the viral infection through down regulation of ACE2 receptor and to attenuate the disease severity by decreasing the frequency of cytokine storm and pulmonary pro-inflammatory response. Vit E supports T-cell mediated functions, optimization of Th1 response and suppression of Th2 response. Vitamin E supplementation can lower the production of superoxides and may favors the antioxidants and benefit the progress of COVID-19 treatment. Zinc plays an essential role in both innate and adaptive immune systems and cytokine production, and Zinc-dependent viral enzymes to initiate the infectious process have proved the Zinc levels are directly associated with symptoms relieved of COVID-19. Iron is an essential component of enzymes involved in the activation of immune cells, lower iron levels predispose to severe symptoms of SARS-CoV-2, and monitoring the status can predict the disease severity and mortality. Selenium participates in the adaptive immune response by supporting antibody production and development. Deficiency can reduce antibody concentration, decreased cytotoxicity of NK cells, compromised cellular immunity, and an attenuated response to vaccination. The COVID-19 vaccines including three broad categories, protein-base vaccines, gene-based vaccines (mRNA vaccines and DNA vaccines), combination of gene and protein-based vaccines. Micronutrients are involved in immunity from the virus entering the human to innate immune response and adaptive immune response. Micronutrients are indispensable in immune response of vaccination.
Epidemiology of Injuries in National Collegiate Athletic Association Men's Football: 2014-2015 Through 2018-2019.

CONTEXT Football is among the most popular collegiate sports in the United States, and participation in National Collegiate Athletic Association (NCAA) football has risen in recent years. BACKGROUND Continued monitoring of football injuries is important for capturing the evolving burden of injuries in NCAA football. The purpose of this study was to describe the epidemiology of football-related injuries among men's NCAA football players during the 2014-2015 through 2018-2019 academic years. METHODS Exposure and injury data collected in the NCAA Injury Surveillance Program were analyzed. Injury counts, rates, and proportions were used to describe injury characteristics, and injury rate ratios were used to examine differential injury rates. RESULTS The overall injury rate was 9.31 per 1000 athlete-exposures. Most injuries occurred during general play (17.5%), blocking (15.8%), and tackling (14.0%). Concussions (7.5%), lateral ligament complex tears (6.9%), and hamstring tears (4.7%) were the most commonly reported injuries. CONCLUSIONS Results of this study were generally consistent with previous findings, though changes over time in rates of commonly reported injuries warrant attention. Continued monitoring of injury incidence is needed to appraise the effectiveness of recently implemented rules changes.
Communicative Interaction in Language Learning Tasks among EFL Learners

This paper explores peer-peer interactions of low proficiency level children using a spot-the-differences task in an EFL context in a language institute in Shiraz, Iran. The children were asked to practice with several sets of similar spot-the-differences tasks and the analysis focuses on the observable changes from the first to the last repetition. After the task performances were recorded, the children were invited to watch their first and last performances and comment on the changes they noticed in an interview. Both the analysis of their dialogues performing the tasks and their reflections clearly indicate that peer-peer interactions with this age group at a very low level of competence can bring various benefits and thus primary language teachers could consider introducing similar communication tasks with children with some confidence.
Impact of Climate Change on Eye Diseases and Associated Economical Costs

Climate change generates negative impacts on human health. However, little is known about specific impacts on eye diseases, especially in arid and semi-arid areas where increases in air temperatures are expected. Therefore, the main goals of this research are: (i) to highlight the association between common eye diseases and environmental factors; and (ii) to analyze, through the available literature, the health expenditure involved in combating these diseases and the savings from mitigating the environmental factors that aggravate them. Mixed methods were used to assess the cross-variables (environmental factors, eye diseases, health costs). Considering Southern Spain as an example, our results showed that areas with similar climatic conditions could increase eye diseases due to a sustained increase in temperatures and torrential rains, among other factors. We highlight that an increase in eye diseases in Southern Spain is conditioned by the effects of climate change by up to 36.5%; the economic burden of the main eye diseases, extrapolated to the rest of the country, would represent an annual burden of 0.7% of Spain’s Gross Domestic Product. In conclusion, the increase in eye diseases has a strong economic and social impact that could be reduced with proper management of the effects of climate change. We propose a new concept: disease sink, defined as any climate change mitigation action which reduces the incidence or morbidity of disease.