Miracle-dz/UniFAR-FTUs huggingface dataset:
Working towards More Effective Implementation, Dissemination and Scale-Up of Lower-Limb Injury-Prevention Programs: Insights from Community Australian Football Coaches

Disseminating lower-limb injury-prevention exercise programs (LL-IPEPs) with strategies that effectively reach coaches across sporting environments is a way of preventing lower-limb injuries (LLIs) and ensuring safe and sustainable sport participation. The aim of this study was to explore community-Australian Football (community-AF) coaches’ perspectives on the strategies they believed would enhance the dissemination and scale-up of LL-IPEPs. Using a qualitative multiple case study design, semi-structured interviews with community-AF coaches in Victoria, Australia, were conducted. Overall, coaches believed a range of strategies were important including: coach education, policy drivers, overcoming potential problem areas, a ‘try before you buy approach’, presenting empirical evidence and guidelines for injury-prevention exercise programs (IPEPs), forming strategic collaboration and working in partnership, communication and social marketing, public meetings, development of a coach hotline, and targeted multi-focused approaches. A shift to a culture whereby evidence-based IPEP practices in community-AF will take time, and persistent commitment by all involved in the sport is important. This will support the creation of strategies that will enhance the dissemination and scale-up of LL-IPEPs across community sport environments. The focus of research needs to continue to identify effective, holistic and multi-level interventions to support coaches in preventing LLIs. This could lead to the determination of successful strategies such as behavioural regulation strategies and emotional coping resources to implement LL-IPEPs into didactic curricula and practice. Producing changes in practice will require attention to which strategies are a priority and the most effective.
A Parametric Study of Sink Marks in Injection-Molded Plastic Parts using the Finite Element Method

Abstract A numerical procedure to simulate the formation of a sink mark near the base of a rib in an injection-molded plastic part has been developed. This method uses two commercially available software packages, C-Mold and Abaqus, to model the injection molding process. The C-Mold software uses a generalized Hele-Shaw formulation to simulate the mold filling, packing and cooling stages of injection molding. From this analysis, pressure and temperature histories in the rib area are derived. These are used to determine the initial conditions and boundary conditions for a sequentially-coupled thermal / structural finite element analysis of a cross-section of the rib, using the Abaqus software. An elastic-plastic material model with temperature-dependent material properties is employed. The thermal/structural finite element analysis provides an accurate model of the two-dimensional cooling and shrinkage behavior of the part during molding. To verify the accuracy of the method, the dependence of sink mark depth on various geometric and molding parameters has been analyzed. The predicted sink mark depth is found to be in good agreement with experimental results from the literature.
Flexible Database Generators

Evaluation and applicability of many database techniques, ranging from access methods, histograms, and optimization strategies to data normalization and mining, crucially depend on their ability to cope with varying data distributions in a robust way. However, comprehensive real data is often hard to come by, and there is no flexible data generation framework capable of modelling varying rich data distributions. This has led individual researchers to develop their own ad-hoc data generators for specific tasks. As a consequence, the resulting data distributions and query workloads are often hard to reproduce, analyze, and modify, thus preventing their wider usage. In this paper we present a flexible, easy to use, and scalable framework for database generation. We then discuss how to map several proposed synthetic distributions to our framework and report preliminary results.
Preinjury somatization symptoms contribute to clinical recovery after sport-related concussion

Objective: To determine the degree to which preinjury and acute postinjury psychosocial and injury-related variables predict symptom duration following sport-related concussion. Methods: A total of 2,055 high school and collegiate athletes completed preseason evaluations. Concussed athletes (n = 127) repeated assessments serially (<24 hours and days 8, 15, and 45) postinjury. Cox proportional hazard modeling was used to predict concussive symptom duration (in days). Predictors considered included demographic and history variables; baseline psychological, neurocognitive, and balance functioning; acute injury characteristics; and postinjury clinical measures. Results: Preinjury somatic symptom score (Brief Symptom Inventory–18 somatization scale) was the strongest premorbid predictor of symptom duration. Acute (24-hour) postconcussive symptom burden (Sport Concussion Assessment Tool–3 symptom severity) was the best injury-related predictor of recovery. These 2 predictors were moderately correlated (r = 0.51). Path analyses indicated that the relationship between preinjury somatization symptoms and symptom recovery was mediated by postinjury concussive symptoms. Conclusions: Preinjury somatization symptoms contribute to reported postconcussive symptom recovery via their influence on acute postconcussive symptoms. The findings highlight the relevance of premorbid psychological factors in postconcussive recovery, even in a healthy athlete sample relatively free of psychopathology or medical comorbidities. Future research should elucidate the neurobiopsychosocial mechanisms that explain the role of this individual difference variable in outcome following concussive injury.
Experimental Advances in Effect of Waviness on Properties of Fibre Reinforced Composite Materials

Categories, fabrication techniques, characterization techniques, and effect of waviness on properties of fibre reinforced composite materials and structures are reviewed. Waviness exerts a great affluence on properties of composite materials and structures, which leads to a significant degradation or reduction of mechanical performances, such as static compressive/tensile strength, compressive fatigue life, and so on. Various factors related to waviness nested into the composite materials and structures, including wave geometry, thickness position of the wavy layer, percentages of layers with waviness, are considered and stated in detail. Failure mode of laminate containing waviness and the reasons for their failure initiation are analytically stated. At last, some prospects about this study are presented.
Ejection fraction as a statistical index of left ventricular systolic function: the first full allometric scrutiny of its appropriateness and accuracy

Left ventricular ejection fraction (EF) is a ratio that is deemed to accurately normalize stroke volume (SV) to end‐diastolic volume (EDV). Ratios are now well‐recognized for not normalizing the numerator, in this case SV, consistently for the denominator, EDV. We aimed to provide the first allometric‐based scrutiny of the conventional assumptions that underpin the EF ratio. We allometrically modelled untransformed SV and EDV measurements from 112 preclinical heart failure patients in the Multi‐Ethnic Study of Atherosclerosis (MESA), and 864 chronic heart failure patients in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study. An information‐theoretic approach was adopted to assess the relative quality of twelve candidate models for normalizing SV to EDV. None of the conventional underlying assumptions for accurate ratio normalization, for example an allometric exponent ≈1, were upheld for EF. A two‐parameter power function with normal, heteroscedastic error was the best model for scaling SV to EDV in both samples. The allometric exponent (95% confidence interval) was 0·776 (0·682 to 0·869) in MESA, and 0·860 (0·857 to 0·864) in TOPCAT. EF was inversely correlated with EDV in MESA (r = −0·67, 95% CI: −0·76 to −0·55) and TOPCAT (r = −0·41, 95% CI: −0·46 to −0·35). Consequently, for fundamental statistical reasons, EF was biased low for people with generally larger EDVs, and vice versa. For the first time, we have demonstrated that EF is an inaccurate statistic for scaling SV to EDV, leading to potential biased inferences for research and individual patients.
Manual tracking using touchscreen interfaces

Touchscreen devices are increasingly being utilized in machine control environments. They are used to enter operating parameters, monitor processes, and issue real-time control signals. However, little data exists on what type of interface should be used for a given application; therefore this paper studies different interfaces for real-time control. Three very distinct user interfaces are implemented on a touchscreen device and compared with a physical joystick in a manual-tracking experiment. Results show that operators performed best with the joystick, followed by an interface with on/off commands, an interface with tilting commands, and finally an interface with a touchscreen slider.
Empirical Distribution of Nearest-Transmitter Distance in Wireless Networks Modeled by Matérn Hard Core Point Processes

Availability of the distribution of the distance between a generic location and the closest point to it from a point process is very crucial for the performance analysis of wireless networks modeled by such a point process. In this paper, we fit the empirical probability density function of the closest-point distance in the Matérn hard core point process of Type II to various existing distributions, and find that the Weibull distribution has the best goodness-of-fit among all other distributions examined (e.g., the gamma, log-normal and Rayleigh distributions). We also propose a better piecewise probability density function for the closest-point distance, including an exact expression and a heuristic formula that can be fitted by a Weibull-like function. Simulation results show that the proposed piecewise model has a very close goodness-of-fit to the empirical data.
Instrumentation and sampling strategies for cooperative concurrency bug isolation

Fixing concurrency bugs (or "crugs") is critical in modern software systems. Static analyses to find crugs such as data races and atomicity violations scale poorly, while dynamic approaches incur high run-time overheads. Crugs manifest only under specific execution interleavings that may not arise during in-house testing, thereby demanding a lightweight program monitoring technique that can be used post-deployment. We present Cooperative Crug Isolation (CCI), a low-overhead instrumentation framework to diagnose production-run failures caused by crugs. CCI tracks specific thread interleavings at run-time, and uses statistical models to identify strong failure predictors among these. We offer a varied suite of predicates that represent different trade-offs between complexity and fault isolation capability. We also develop variant random sampling strategies that suit different types of predicates and help keep the run-time overhead low. Experiments with 9 real-world bugs in 6 non-trivial C applications show that these schemes span a wide spectrum of performance and diagnosis capabilities, each suitable for different usage scenarios.
The efficacy and safety of udenafil, a new selective phosphodiesterase type 5 inhibitor, in patients with erectile dysfunction.

INTRODUCTION Udenafil is a potent selective phosphodiesterase type 5 (PDE5) inhibitor newly developed for the treatment of erectile dysfunction (ED). AIM This study was performed to evaluate the efficacy and safety of udenafil therapy in patients with ED. METHODS In this multicenter, double-blind, placebo-controlled, fixed-dose, parallel-group phase III trial, 167 patients with ED of diverse origin and severity were randomized to take placebo or udenafil at fixed doses of 100 or 200 mg as needed for 12 weeks. MAIN OUTCOME MEASURES Primary efficacy variable was change from baseline in erectile function (EF) domain scores of the International Index of Erectile Dysfunction (IIEF) questionnaire. Secondary efficacy variables include change from baseline in scores on the IIEF Questions 3 and 4 (IIEF Q3 and Q4), change from baseline in all domain scores of the IIEF, patients' responses to questions 2 and 3 of the Sexual Encounter Profile (SEP2 and SEP3), and patients' responses to the Global Assessment Question (GAQ). Any adverse events were also recorded during the trial. RESULTS After 12 weeks of treatment, the patients treated with udenafil showed significantly greater change from baseline in the IIEF-EF domain score compared with placebo (placebo, 0.20; 100-mg udenafil, 7.52; and 200-mg udenafil, 9.93, respectively) (P < 0.0001). Compared with placebo, udenafil significantly enhanced the rates of successful penetration (SEP Q2) and maintenance of erection (SEP Q3) (P < 0.0001). Furthermore, significantly greater proportions of udenafil treatment groups responded positively to the GAQ compared with the placebo group (GAQ: placebo, 25.9%; 100-mg udenafil, 81.5%; and 200-mg udenafil, 88.5%, respectively) (P < 0.0001). Treatment-related adverse events were generally mild to moderate with facial flushing and headache being the most common. CONCLUSIONS Udenafil is an effective and well-tolerated therapy for ED of broad-spectrum etiology and severity.
Electrical, magnetic and magnetodielectric properties in ferrite-ferroelectric particulate composites

Particulate composites of ferroelectric and ferrite phases having general formula (1-x) {(Bi0.5Na0.5)0.94Ba0. 06TiO3} − xNi0.65Zn0.35Fe2O4 were prepared for x = 0, 0.1, 0.2 and 0.3 using the conventional double-sintering ceramic method. The structural analysis were carried out to confirm the presence of constituent phases in the composite and to evaluate lattice parameter for all samples. The microstructural analysis and average grain size determination were carried out using a field emission scanning electron microscope (FESEM). The dielectric properties were measured as a function of temperature and frequencies. Observations of P-E hysteresis loops and M-H hysteresis loops, respectively, confirm the ferroelectric and ferromagnetic nature of the composite samples, and the coupling between ferroelectric and ferromagnetic ordering was ensured in the presence of a magnetodielectric at room temperature. The highest value of the magnetodielectric is found to be 2.19% for 30 mol% of NZFO. The investigated composites seem to be very attractive for multiple state memory devices in which data can be stored as polarization (P) or magnetization (M) or both.
Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting

In this letter, the authors point out that the readjusting phase of edge adaptive image steganography based on LSB matching revisited introduces a pulse distortion to the long exponential tail of the histogram of the absolute difference of the pixel pairs. Making use of this observation, a targeted steganalytic method based on B-Spline fitting is proposed. Experimental results show that the proposed method obtains excellent results for detecting stego images with low embedding rate. The dominant performance of our method compared with state-of-the-art blind steganalyzers, such as SPAM and SRM is apparent. Furthermore, our method can accurately estimate the threshold used in the secret data embedding procedure and can separate the stego images with unit block size from those with block sizes greater than one.
Male gender is an adverse prognostic factor in B‐cell lymphoma patients treated with immunochemotherapy *

Male gender is an adverse prognostic factor in Hodgkin’s lymphoma, but no such association has yet been established in non‐Hodgkin lymphomas. Here, we have evaluated whether gender has prognostic impact on the survival of patients with B‐cell non‐Hodgkin lymphoma in the postrituximab era of lymphoma therapies. The study populations consisted of 217 diffuse large B‐cell lymphoma (DLBCL) and 110 follicular lymphoma (FL) patients treated with immunochemotherapy. Hundred and sixty chemotherapy‐treated DLBCL patients served as a control group. According to Kaplan–Meier analyses, female patients had a significantly better progression‐free survival than men both in DLBCL (4 yr PFS 75% vs. 60%; P = 0.013) and in FL (4 yr PFS 68% vs. 52%, P = 0.036) patients treated with immunochemotherapy. In chemotherapy‐treated DLBCL patients, no difference in survival between the genders was found. The results support the idea that women seem to respond better to rituximab.
Single-Carrier Phase-Disposition PWM Techniques for Multiple Interleaved Voltage-Source Converter Legs

Interleaved converter legs are typically modulated with individual carriers per leg and phase-shifted pulse width modulation (PS-PWM) as it facilitates current balancing amongst the legs. Phase-disposition PWM (PD-PWM), despite the better harmonic performance, cannot be directly used due to the resulting current imbalance that may damage the converter. This paper addresses the current sharing issue and proposes a sorting algorithm implementation that enables single-carrier PD-PWM technique for interleaved two-level converter legs. An extension of the proposed algorithm through a switching state feedback loop, limiting the average switching frequency, is also developed. In both cases, the output current is of high quality and shared amongst the phase-legs, while the deviation between the phase-leg currents is well regulated. Simulation results demonstrate the general function of method for multiple interleaved legs as well as its current sharing capabilities for high-power applications. Experimental results from a low-power laboratory prototype validate the operation of the proposed approach.
Gain-scheduled H2-performance control of individual synchronous generators with static VAR compensator controllers

By gain-scheduled controller parameterizing according to phase plane partitioning, swing equations for individual synchronous generators in multi-machine power systems are approximated through sequential linear time-invariant (LTI) models, based on which we formulate a pseudo H2-performance control via static VAR compensators (SVC) for stabilizing generators and improving their transient and steady-state behaviors. SVC belongs to the flexible ac transmission systems, which are widely utilized for reactive power compensation and stabilization in power systems. The pseudo H2-performance control is addressed by the H2-performance optimization techniques for LTI systems but in the gain-scheduled sense. Numeric examples illustrate efficacy of the suggested stabilization and performance improvement.
The Role of Matrix Metalloproteinase-3 in the Doxycycline Attenuation of Intracranial Venous Hypertension-Induced Angiogenesis

BACKGROUND The molecular mechanism of brain arteriovenous malformation (BAVM) is largely unknown. Intracranial venous hypertension (VH) may enhance focal angiogenesis and promote BAVM development and progression. A rat VH model effectively simulates the hemodynamic microenvironment of this disease. OBJECTIVE To explore the effect of doxycycline in VH-related angiogenesis, as well as the role of matrix metalloproteinase-3 (MMP-3) and other molecular factors. METHODS A rat VH model was generated by common carotid artery and distal external jugular vein anastomosis. Microvessel density (MVD) in the perisinus area and expression of MMP-3/2/9, VEGF, TIMP-1, TGF-β, and HIF-1α were examined, with and without daily doxycycline treatment for 4 wk. The effects of doxycycline were verified in Vitro using human brain microvascular endothelial cells (HBMECs). MMP-3 overexpression or knockdown in HBMECs was used to confirm the role of MMP-3 in cell functions. RESULTS MVD in the perisinus cortex was greatly increased after VH. Doxycycline decreased MVD, suppressed MMP-3 overexpression, and reduced VEGF, TGF-β, and TIMP-1 levels compared with the controls (P < .05). In Vitro, doxycycline decreased HBMEC migration, tube formation, and the mRNA, protein, and enzymatic activity levels of MMP-3. MMP-3 overexpression in HBMECs promoted migration, while knockdown of MMP-3 significantly attenuated proliferation, migration, and tube formation (P < .05). CONCLUSION Our findings indicate that MMP-3 plays an important role in VH-related angiogenesis and the promotion of vascular remodeling. Suppression of MMP-3 overexpression by doxycycline may provide a potential strategy for inhibiting BAVM development.
Chronic inflammation predicts long‐term mortality in patients with Raynaud's phenomenon

Subclinical chronic inflammation could be the driving force behind the recently revealed association between abnormal nailfold capillaries as well as autoantibodies and long‐term mortality in patients with incipient Raynaud's phenomenon. Whether laboratory markers that reflect a chronic inflammatory process are directly related to mortality in Raynaud's phenomenon is not known.
Estimating Eulerian Energy Spectra from Drifters

The relations between the kinetic energy spectrum and the second-order longitudinal structure function for 2D non-divergent flow are derived, and several examples are considered. The transform from spectrum to structure function is illustrated using idealized power-law spectra of turbulent inertial ranges. The results illustrate how the structure function integrates contributions across wavenumber, which can obscure the dependencies when the inertial ranges are of finite extent. The transform is also applied to the kinetic energy spectrum of Nastrom and Gage (1985), derived from aircraft data in the upper troposphere; the resulting structure function agrees well with that of Lindborg (1999), calculated with the same data. The transform from structure function to spectrum is then tested with data from 2D turbulence simulations. When applied to the (Eulerian) structure function obtained from the transform of the spectrum, the result closely resembles the original spectrum, except at the largest wavenumbers. The deviation at large wavenumbers occurs because the transform involves a filter function which magnifies contributions from large separations. The results are noticeably worse when applied to the structure function obtained from pairs of particles in the flow, as this is usually noisy at large separations. Fitting the structure function to a polynomial improves the resulting spectrum, but not sufficiently to distinguish the correct inertial range dependencies. Furthermore, the transform of steep (non-local) spectra is largely unsuccessful. Thus, it appears that with Lagrangian data, it is probably preferable to focus on structure functions, despite their shortcomings.
Action recognition based on a mixture of RGB and depth based skeleton

In this paper, we study how different skeleton extraction methods affect the performance of action recognition. As shown in previous work skeleton information can be exploited for action recognition. Nevertheless, skeleton detection problem is already hard and very often it is difficult to obtain reliable skeleton information from videos. In this paper, we compare two skeleton detection methods: the depth-map based method used with Kinect camera and RGB based method that uses Deep Convolutional Neural Networks. In order to balance the pros and cons of mentioned skeleton detection methods w.r. t. action recognition task, we propose a fusion of classifiers trained based on each skeleton detection method. Such fusion lead to performance improvement. We validate our approach on CAD-60 and MSRDailyActivity3D, achieving state-of-the-art results.