Miracle-dz/UniFAR-FTUs huggingface dataset:
Impulsive Personality Traits Predicted Weight Loss in Individuals with Type 2 Diabetes after 3 Years of Lifestyle Interventions

Impulsivity has been associated with type 2 diabetes (T2D) and may negatively impact its management. This study aimed to investigate impulsive personality traits in an older adult population with T2D and their predicting role in long-term weight control and glycemic management, through glycated hemoglobin (HbA1c), following 3 years of intervention with a Mediterranean diet. The Impulsive Behavior Scale (UPPS-P) was administered as a measure of impulsive traits at baseline. Results showed higher total baseline scores of UPPS-P, and higher positive urgency in individuals with T2D, compared with those without T2D. The regression analysis in patients with T2D showed that sensation seeking and lack of perseverance predicted weight loss at follow-up. By contrast, impulsive traits did not predict follow-up levels of HbA1c. In conclusion, the present findings suggest that higher impulsive traits in individuals with T2D seem to affect long-term weight control, but not glycemic control.
Immediate Tooth Autotransplantation with Root Canal Filling and Partially Demineralized Dentin/Cementum Matrix into Congenital Missing Tooth Region

This clinical report describes immediate tooth auto-transplantation with an autograft of partially demineralized dentin/cementum matrix (pDDM), based on an orthodontic treatment plan for a 16-year-old male patient with a congenital missing tooth (#45). First, vital teeth (#14, #24) were extracted, and root canal filling (#14) was immediately performed with the support of a fixation device. Simultaneously, the tooth (#24) was crushed in an electric mill for 1 min, and the crushed granules were partially demineralized in 2% HNO3 solution for 20 min as the graft material. Next, the donor tooth was transplanted into the created socket (#45), and stabilized using an enamel bonding agent. The wet pDDM was loaded into the location of the congenital missing tooth, and the flap was repositioned. The bonding agent for stabilization was removed at 28 days, and also small contact points between the transplanted tooth and the upper premolar (#14) were added using photopolymerizable composite resin. X-ray photos were taken sequentially, and there were no postoperative complications. The radiographic images showed that the periodontal ligament space and alveolar ridge line could be observed at 18 months. The pDDM was harmonized with the mandible, and the remodeled bone-like shadow was observed in the graft region. We concluded that immediate tooth transplantation with root canal fillings and autogenous pDDM may be a valuable alternative to dental implanting or bridge formation for patients with a congenital missing tooth, followed by orthodontic treatment.
Functional narrative animation as visual feedback for interactions in 3D visualization

Visual feedback can help users understand the function, state, and outcome of a system during the pre‐, mid‐, and post‐interaction phases. Current visual feedback in 3D visualization scenarios takes less account of information transfer in terms of appearance design and dynamic behavior, which results in visual feedback being presented in a more engineered form and conveying simple information. For these issues, we proposed the concept and method of functional narrative animation as visual feedback for interactions in 3D visualization. We also provided a set of Unity‐based animation library and a plugin tool for configuring the animations. Finally, through user experiments and interviews, we analyzed the role of functional narrative animation as in the interactive visual feedback for 3D visualizations and make corresponding design recommendations.
TAX EVASION IN MALAYSIA: A STUDY FROM TAX PAYER’S PERCEPTIVE

Taxes forestalling continues to be the disappointing element towards the nation advancement plus economic climate. Lowlevel conformity upon taxes outcomes the cash becoming evaded or even prevented, which result in a higher-level associated with darkness overall economy that is harmful. This particular research concentrates on learning the result associated with taxpayer’s consciousness in the direction of duty forestalling within Malaysia. This particular research is really a quantitative research using main information. 3 factors were getting talked about that could impact taxes forestalling inside Malaysia which includes taxes well-being, charges plus taxes understanding. Information has been gathered through person people residing in countryside in addition to cities within Malaysia. The particular results found that almost all factors possess substantial partnership along with duty forestalling throughout Malaysia, plus taxes wellbeing had been came to the conclusion in order to offers unfavorable partnership along with duty forestalling, charges includes a good connection together with taxes forestalling and even duty understanding includes an unfavorable romantic relationship using taxes forestalling within Malaysia. Key phrases: Taxes forestalling, Taxes Well-being, Charges, Taxes Understanding
Nonparametric discriminant analysis with network structures in predictor

ABSTRACT Multiclassification, known as classification for multi-label responses, has been an important problem in supervised learning and has attracted our attention. Discriminant analysis (DA) is a popular method to deal with multiclassification. With the increasing availability of complex data, it becomes more challenging to analyse them. One of the important features in complex data is the network structure, which is ubiquitous in high-dimensional data because of strong or weak correlations among variables. In addition, in the framework of DA, an assumption of normal distributions is imposed on the predictors, but it is usually invalid in applications. To relax the normality assumption, we propose a nonparametric discriminant function to address multiclassification. In addition, to incorporate the network structure and improve the accuracy of classification, we develop three different network-based surrogate predictors to replace conventional predictors. The key features of the proposed method include the incorporation of network structures in predictors and allowance of predictors to follow exponential family distributions. Finally, numerical studies, including simulation and real data analysis, are conducted to assess the performance of the proposed method.
The evolution of nearby galaxy clusters

On the basis of 377 Abell galaxy clusters with z < 0.2, constituting statistically uniform sample we determined the cluster ellipticity using three methods. We found weak correlation between cluster redshift and ellipticity. It is shown that this correlation is due to neither the assumed position of the cluster center nor method of the galaxy cluster ellipticity determination. This result is consistent with the reports of the recent evolution of galaxy clusters.
Some Further Results on the Bénard Problem

The exact solution of the sixth‐order differential equation which governs the stability of a viscous fluid contained between two rigid walls and heated from below is briefly reviewed and extended to include detailed results on the curve of neutral stability and the cell pattern at the onset of instability. Two approximate methods of solution are then discussed which employ a Fourier or Fourier‐type expansion and which require the solution of only a fourth‐ or a second‐order differential equation. A comparison of these approximate results with the exact solution gives some insight into the relative accuracy of these methods when applied to other more general problems for which an exact solution cannot be obtained.
Knowledge about Dementia and its Associated Factors: Study among the Middle-aged Population in Indonesia

BACKGROUND: Dementia is a general term for loss of memory, language, problem solving, and other thinking skills that can interfere with daily life. Dementia is generally experienced by the older people. Nearly 10 million new cases of dementia reported each year, and more than 50% of dementia patients live in low and middle-income countries. With these potentially increasing number of dementia cases, accurate knowledge about dementia is essential for the community as it could be beneficial for the quality of care and reducing its progression. AIM: This study aimed to assess knowledge about dementia in the middle-aged age group and to determine the sociodemographic factors associated with knowledge about dementia in Indonesia. METHODS: A cross-sectional survey targeted the middle-aged population (40–59 years old), using an online questionnaire examining sociodemographic characteristics (age, gender, occupation), living arrangements, and the Dementia Knowledge Assessment Scale. RESULTS: A total of 1147 respondents were examined, revealing that more than 67% of the participants had poor knowledge about dementia. We revealed that female gender, younger age, and higher occupational level were significantly associated with good knowledge about dementia in various subscales. Interestingly, the living arrangements showed no significant association with knowledge about dementia in any subscale. CONCLUSION: The results emphasize the importance of intensive public health awareness to improve public knowledge about dementia in Indonesia, specifically targeting men and older individuals, as well as those with lower occupational levels.
Probability, Statistical Optics, and Data Testing, 3rd edn

The development of good material for any student course must involve a significant amount of interplay between the recipients and the presenter. There can be no doubt that the third edition of Professor Frieden's book carries the hallmark of such feedback. Not only have some previous discourses been honed but new material has been included, reflecting the ideas and developments in the subject material since the publication of the first edition 20 years ago. The book is unique in the way that it deals with the principles of Probability and Statistics with a slant of application to problems in Optics. The opening chapters are a paragon of clarity in setting the scene for the presentation of the rich material that follows. They contain interesting historical notes presented with gentle humour and the basic definitions associated with experimentation, statistics and probability with the way in which they are interconnected. Although many of the presentations of the statistical/probability concepts generally lead to discussions in the field of optics (e.g. the effects of atmospheric turbulence on the quality of a stellar image) many of the standard statistical tests, such as Chi-square, Student-t etc, are there. Also there are worked out exercises on everyday problems more related to amicable bar discussions on, for example, what is required to decide on whether the flip of a coin has a bias or what is the likelihood of people within a group sharing the same birthday. Much of the material is, however, much deeper than this and, via its underlying theme, links are provided to some of the essentials of very basic physics, including the Heisenberg Uncertainty Principle and the Higgs mass phenomenon. The depth of the coverage is final-year undergraduate to postgraduate level. The philosophy of presentation is that a true understanding of the discipline is best obtained by direct participation through the working out of set problems. The text provides many worked examples with copious and interesting problems (without answers) for engagement. By dipping in, it is also possible to find insight on a particular statistical need that might be to hand and requiring solution. Even with a text of concentrated discourse of some 500 pages, there are omissions. More might have been said perhaps on tests relating measurements to theory or prediction, say those of the Kolmogorov-Smirnov type. The layout is very clear, although the software package behind it has the quirk of sometimes carrying the last section header on the odd-numbered pages to far beyond what is included on those pages. All in all, a rare collection of ideas that stands alone, with unique style, and deserving to be called a true `classic'. David Clarke
A Systematic Review of the Influence of Bovine Colostrum Supplementation on Leaky Gut Syndrome in Athletes: Diagnostic Biomarkers and Future Directions

Background: Bovine colostrum (BC) contains a myriad of bioactive molecules that are renowned for possessing unique medicinal benefits in children and adults, and BC supplements are considered safe and cost-effective options to manage/prevent the incidence of upper respiratory tract infections and gut-related problems in athletes. In this review, we will try to answer the question: How will BC supplementation ameliorate gut permeability problems among athletes? Methods: Literature searches were performed using PRISMA guidance to identify studies assessing the influence of BC supplements on gut permeability. Studies were selected using four databases: PubMed, Web of Science, Scopus, and EBSCO, and a total number of 60 articles were retrieved by using appropriate keywords. Results: Nine studies were selected that met the eligibility criteria for this review. The data analysis revealed that vigorous exercise profoundly increases intestinal permeability, and BC supplementation helps to reverse gut permeability in athletes. Conclusion: BC supplementation may be highly beneficial in improving gut permeability in athletes. However, well-designed, placebo-controlled, and randomized studies are needed to evaluate the long-term safety and efficacy and to determine the optimal dose schedules of BC supplementation in high-performance athletes.
Prediction of Liquid Magnetization Series Data in Agriculture Based on Enhanced CGAN

The magnetized water and fertilizer liquid can produce biological effect of magnetic field on crops, but its residual magnetic field strength is difficult to be expressed quantitatively in real time, and accurate prediction of it is helpful to define the scope of action of liquid magnetization. In this paper, a prediction model for liquid magnetization series data is presented. It consists of conditional generative adversarial network (CGAN) and projected gradient descent (PGD) algorithm. First, the real training dataset is used as the input of PGD attack algorithm to generate antagonistic samples. These samples are added to the training of CGAN as true samples for data enhancement. Second, the training dataset is used as both the generator and discriminator input of CGAN to constrain the model, capture distribution of the real data. Third, a network model with three layers of CNN is built and trained inside CGAN. The input model is constructed by using the structure of two-dimensional convolution model to predict data. Lastly, the performance of the model is evaluated by the error between the final generated predicted value and the real value, and the model is compared with other prediction models. The experimental results show that, with limited data samples, by combining PGD attack with CGAN, the distribution of the real data can be more accurately captured and the data can be generated to meet the actual needs.
(2016). A computationally efficient 2D model for inherently equilibrated 3D stress predictions in heterogeneous laminated plates. Part Model validation. Composite Structures 156 , 186-217.

The higher-order, equivalent single-layer model developed in Part I is applied to the stretching and bending of exemplar multilayered ﬂat plates, where the results are compared with diﬀerent 3D models, and trends and insights are subsequently drawn. The present mixed displacement/stress-based model is derived from inherently equilibrated 3D stress ﬁelds that satisfy the interlaminar and surface traction equilibrium conditions. A new set of governing equations is derived from a contracted Hellinger-Reissner functional that only enforces the classical membrane and bending equations via Lagrange multipliers. Combined with the fact that the same set of stress resultants is used for all stress ﬁelds, the number of unknown variables of the theory reduces, while maintaining suﬃcient ﬁdelity to capture higher-order transverse shearing and zig-zag eﬀects. A wide range of stacking sequences are considered ranging from orthotropic straight-ﬁbre laminates to sandwich panels with variable-stiﬀness face sheets, i.e. composite plies in which the reinforcing ﬁbres describe curvilinear paths. Hence, the model is used to study laminated plates with 3D heterogeneity , that is laminates comprising layers with material properties that can diﬀer by multiple orders of magnitude and that vary continuously in-plane. The governing equations are solved both analytically using trigonometric expansions and numerically using the pseudo-spectral diﬀerential quadrature method. The 3D stress ﬁelds predictions correlate closely with 3D elasticity and 3D ﬁnite element solutions and are accurate to within a few percent for thick plates with characteristic length to thickness ratios as small as 5:1. In fact, the results suggest that 3D stress ﬁelds from our model satisfy Cauchy’s 3D equilibrium equations more accurately, and at a three-order degree of freedom reduction in computational cost, compared to high-ﬁdelity 3D FEM models.
Do Integrated Hub Models of Care Improve Mental Health Outcomes for Children Experiencing Adversity? A Systematic Review

This review assesses the effectiveness of integrated primary health and social care hubs on mental health outcomes for children experiencing adversity and describes common integration dimensions of effective hubs. PubMed, OVID Medline and PyschINFO databases were systematically searched for relevant articles between 2006–2020 that met the inclusion criteria: (i) interventional studies, (ii) an integrated approach to mental health within a primary health care setting, (iii) validated measures of child mental health outcomes, and (iv) in English language. Of 5961 retrieved references, four studies involving children aged 0–12 years experiencing one or more adversities were included. Most children were male (mean: 60.5%), and Hispanic or African American (82.5%). Three studies with low-moderate risk of bias reported improvements in mental health outcomes for children experiencing adversity receiving integrated care. The only RCT in this review did not show significant improvements. The most common dimensions of effective integrated hubs based on the Rainbow Model of Integrated Care were clinical integration (including case management, patient-centred care, patient education, and continuity of care), professional integration, and organisational integration including co-location. These results suggest hubs incorporating effective integration dimensions could improve mental health outcomes for children experiencing adversity; however, further robust studies are required. Registered with Prospero: CRD42020206015.
Age-Unfriendly by Design

Abstract Problem, research strategy, and findings The world’s population is aging at a rapid rate, yet many local built and social environments are not well suited to support older adults. Australia exemplifies the demographic–environmental disconnect because it is one of the world’s most suburban nations and has one of the proportionally largest baby boom generations. In this research we examined the relationship between built and social environments with respect to older adult vulnerability in Greater Melbourne (Australia). We found that neighborhoods with lower levels of built environment support also had lower levels of social infrastructure. The spatial imbalance across the region was most pronounced when considering the spatial distribution of older adults aged 85 years and older. Our analysis of policymaker interviews revealed a marked disconnect between the scale and scope of the challenges of suburban aging and the state and local government response. Limitations of the study included the operationalization of built environment and social infrastructure variables. Takeaway for practice Age-friendly planning and design cannot be limited to the “easier stuff” such as communication and information, social participation, and respect and inclusion. Suburban built environments require more effort and investment in transportation, housing, and outdoor spaces and buildings to support the physical and mental wellbeing of older adults aging in place. Walkable suburban neighborhoods with high levels of accessible social infrastructure will help build community connections and encourage older adult physical activity and social engagement.
Integration of contextual intelligence by sport medicine clinicians in the United States

ABSTRACT Context: Contextual intelligence (CI) has been theorized to be an asset to the clinical practice of Athletic Trainers (AT’s). However, no research has explored if CI behaviors are practiced by AT’s. Objective: To delineate the practice frequency of CI by athletic trainers and describe any differences according to respondent characteristics. Participants: 2143 clinical AT’s were invited to participate. 284 completed the survey (13.2%) and 229 were usable (81%). Forty-four percent (44%) of participants earned a professional Master’s degree; the most frequently reported age range was 26–30 years old (29%); and a the majority (59%) of participants had ≥10 years of experience and (82%) were Caucasian/White. Main outcome measure(s): Frequency of CI behaviors were measured using the Contextual Intelligence Profile™ (CIP™). Results: The Cronbach coefficient alpha for the 48-item CIP™ was α = . 935. Kaiser–Myers–Olkin’s (KMO) Measure of Sampling Adequacy for the means of the CIP’s™ 12-behaviors was 0.927; and Bartlett’s Test of Sphericity was significant (X 2 = 1195.04(66), p = . 001), indicating validity. All 12 CI behaviors were practiced by participants. However, no CI behavior was practiced with high frequency (M≤1.50). No differences were found according to sex or district. ANOVA with a Games-Howell post hoc analysis indicated differences between several respondent groups including ethnicity, education level, experience level, and dual credentialed. Paired samples t-tests found that Foresight (M = 1.82 ± .66) and Hindsight (M = 1.80 ± .61) behaviors were practiced more frequently than Insight behaviors (M = 2.19 ± .86); (tF = 8.486(172), p = . 001; tH = 8.303(171), p = . 001, respectively). Conclusions: All (12) CI behaviors were reported to be practiced by AT’s. However, none of them were practiced with high frequency. Insight behaviors were practiced the least. More experienced and educated athletic trainers reported practicing CI behaviors more often.
Comparing Mental Health, Wellbeing and Flourishing in Undergraduate Students Pre- and during the COVID-19 Pandemic

There has been a preponderance of studies on student mental health, wellbeing and flourishing during the COVID-19 pandemic. Few studies have compared data on student mental health and wellbeing before and during the pandemic. The purpose of the current study was to compare mental health and wellbeing in undergraduate students before and during the COVID-19 pandemic. Survey research was conducted with three groups of undergraduate students (n = 905) from diverse scientific fields at a large, urban university in South Africa. Data was collected by means of electronic surveys, combining full-scale items from three instruments, the Mental Health Continuum Short Form, the Flourishing Scale and the Fragility of Happiness Scale. Data was analysed by the Statistical Package for the Social Sciences (SPSS), the Analysis of Moment Structures (AMOS) and R software. The results indicate that while the mental health and wellbeing of students declined during the pandemic concerning their perceived ability to contribute to society, having supportive and rewarding social relationships and them being engaged and interested in their daily activities, it also improved in terms of their perceived ability to manage their daily lives (environmental mastery), being challenged to grow (personal growth) and in terms of their views that society was becoming better (social growth/actualisation).