Miracle-dz/UniFAR-FTUs huggingface dataset:
Concurrent validity, inter-, and intrarater reliabilities of smart device based application for measuring vertical jump performance

Background: The aim of this study was to examine the concurrent validity and inter-and intra-rater reliabilities of smart device based application, against force platform-based portable device Wii balance board (WBB) measurements for the flight time and jump height during the vertical jump. Material and methods: Thirty participants (23.8 ±3.41 years) completed three vertical jumps, which were evaluated using WBB and application for smart device. To assess the concurrent validity, jump height and flight times were obtained from each device. Inter-and intra-rater reliabilities were determined by replicating data analysis of smart device based application recordings. Results: Flight time and jump height collected from smart device based application showed excellent agreement level with WBB (flight time and jump height: ICC [2,1]=0.972). However mean flight time and jump height from the smart device based application was significantly higher than WBB (mean difference: 0.006 sec, 0.745 cm, p < 0.05). Intra-rater sessions showed good level of agreement (flight time: ICC [2,1] = 0.967, jump height: ICC [2,1] = 0.974), and inter-rater session showed almost perfect reliability (flight time: ICC [2,1] = 0.985, jump height: ICC [2,1] = 0.987). Conclusions: Smart device-based applications could be used to replace pressure-based portable devices for clinical evaluations in post-injury rehabilitation as well as evaluating sports performance.
Simulating Wireless Communication Systems

Preface. 1. Simulation: Background and Overview. Communication Systems. Simulation Process. Simulation Programs. 2. Simulation Infrastructure. Parameter Input. Signals. Controls. Results Reporting. 3. Signal Generators. Elementary Signal Generators. Tone Generators. Sampling Baseband Signals. Baseband DataWaveform Generators. Modeling Bandpass Signals. 4. Random Process Models. Random Sequences. Random Sequence Generators. Continuous-Time Noise Processes. Additive Gaussian Noise Generators. Bandpass Noise. Parametric Models of Random Processes. 5. Discrete Transforms. Discrete Fourier Transform. Decimation-in-Time Algorithms. Decimation-in-Frequency Algorithms. Small -N Transforms. Prime Factor Algorithm. 6. Spectrum Estimation. Sample Spectrum. Daniell Periodogram. Bartlett Periodogram. Windowing and Other Issues. Welch Periodogram. Yule-Walker Method. 7. System Characterization Tools. Linear Systems. Constellation Plots. 8. Filter Models. Modeling Approaches. Analog Filter Responses. Classical Analog Filters. Simulating Filters via Numerical Integration. Using IIR Digital Filters to Simulate Analog Filters. Filtering in the Frequency Domain. 9. Modulation and Demodulation. Simulation Issues. Quadrature Phase Shift Keying. Binary Phase Shift Keying. Multiple Phase Shift Keying. Frequency Shift Keying. Minimum Shift Keying. 10. Amplifiers and Mixers. Memoryless Nonlinearities. Characterizing Nonlinear Amplifiers. Two-Box Nonlinear Amplifier Models. 11. Synchronization and Signal Shifting. Shifting Signals in Time. Correlation-Based Delay Estimation. Phase-Slope Delay Estimation. Changing Clock Rates. 12. Synchronization Recovery. Linear Phase-Locked Loops. Digital Phase-Locked Loops. Phase-Locked Demodulators. 13. Channel Models. Discrete Memoryless Channels. Characterization of Time-Varying Random Channels. Diffuse Multipath Channels. Discrete Multipath Channels. 14. Multirate Simulations. Basic Concepts of Multirate Signal Processing. Filter Design for Interpolators and Decimators. Multirate Processing for Bandpass Signals. 15. Modeling DSP Components. Quantization and Finite-Precision Arithmetic. FIR Filters. IIR Filters. 16. Coding and Interleaving. Block Codes. BCH Codes. Interleavers. Convolutional Codes. Viterbi Decoding with Soft Decisions. A. Mathematical Tools. Trigonometric Identities. Table of Integrals. Logarithms. Modified Bessel Functions of the First Kind. B. Probability Distributions in Communications. Uniform Distribution. Gaussian Distribution. Exponential Distribution. Rayleigh Distribution. Rice Distribution. C. Galois Fields. Finite Fields. Polynomial Arithmetic. Computer Generation of Extension Fields. Minimal Polynomials and Cyclotomic Cosets. D. References. Index.
A Quantitative Analysis of Microplastics in Bivalves Sourced from the Southern Gulf of St. Lawrence

INTRODUCTION Plastic is an incredibly versatile material. It has revolutionized various industries and helped billions of people live far more convenient lives. From an economic standpoint, the production of plastic was an incredible success. Since the 1950s, it is estimated that over 8.3 billion tonnes of virgin plastics have been produced (UN Environment, n.d.). However, a lack of foresight has left the world with environmental issues. Over 5.25 trillion plastic particles, measuring around 260 000 tonnes, are floating in the world’s oceans (Eriksen et al., 2014). Over time, organisms accumulate microplastics through consumption or absorption (Devriese et al., 2017). Much of the microplastics in marine organisms that are consumed by humans are contained in the gut tissue, which is not habitually consumed. However, marine organisms such as bivalves are consumed whole, and the levels of microplastics in bivalves designated for human consumption have not been studied in the Maritimes. According to Fisheries and Oceans Canada, the Maritime region accounted for 757 million dollars of Canada’s total landed fisheries value in 2012 (Fisheries and Oceans, 2019). Considering that fisheries are a vital industry in coastal areas, information on microplastic levels in seafood marketed for consumption is important for developing strategies to limit this pollution (Fisheries and Oceans, 2019). Fisheries and Oceans Canada recommends investigating and comparing the levels of microplastic pollution in two of the most consumed bivalves, blue mussels (Mytilus edulis) and eastern oysters (Crassostrea virginica), to quantify the problem (2019).
Structure-Activity Relationships of Dopamine Transporter Pharmacological Chaperones

Mutations in the dopamine transporter gene (SLC6A3) have been implicated in many human diseases. Among these is the infantile parkinsonism-dystonia known as Dopamine Transporter Deficiency Syndrome (DTDS). Afflicted individuals have minimal to no functional dopamine transporter protein. This is primarily due to retention of misfolded disease-causing dopamine transporter variants. This results in a variety of severe motor symptoms in patients and the disease ultimately leads to death in adolescence or young adulthood. Though no treatment is currently available, pharmacological chaperones targeting the dopamine transporter have been shown to rescue select DTDS disease-causing variants. Previous work has identified two DAT pharmacological chaperones with moderate potency and efficacy: bupropion and ibogaine. In this study, we carried out structure-activity relationships (SARs) for bupropion and ibogaine with the goal of identifying the chemical features required for pharmacological chaperone activity. Our results show that the isoquinuclidine substituent of ibogaine and its analogs is an important feature for pharmacological chaperone efficacy. For bupropion, the secondary amine group is essential for pharmacological chaperone activity. Lastly, we describe additional ibogaine and bupropion analogs with varying chemical modifications and variable pharmacological chaperone efficacies at the dopamine transporter. Our results contribute to the design and refinement of future dopamine transporter pharmacological chaperones with improved efficacies and potencies.
An economic analysis of community-level fast food prices and individual-level fast food intake: longitudinal effects

Background— While dietary intake is shaped by cost, there is minimal research on the association between community-level food prices and dietary intake. Methods— We used nationally representative, longitudinal data to examine how community-level food price variation was associated with individual-level fast food intake by race/ethnicity and income across waves II (1996) and III (2001–02) of The National Longitudinal Study of Adolescent Health (n=11,088) from 158 baseline and 363 follow-up US counties. Results— Negative binomial regression models predicting the number of fast food meals per week show strong relationships between fast food consumption and prices of fast food and soda that varied by gender and race/ethnicity. We found relatively stronger association between food prices and fast food intake for males and relatively greater price sensitivity for soda versus burgers. In the group with strongest associations (black males), a 20% increase in price of soda was associated with a decrease of a 0.25 visits to a fast food restaurant per week. Conclusions— Economic incentives may be an effective mechanism to address fast food intake in an age group at high risk for obesity.
DIFFERENTIABLE STRUCTURES ON FUNCTION SPACESH

A C differentiable manifold structure is constructed for spaces of maps from a compact CT manifold M to a Cr manifold N. The method (1) is inspired by Douady; (2) does not require any additional structure on TV (such as sprays); (3) includes the case when N is an analytic manifold and concludes that the mapping space is also an analytic manifold; (4) can be used to treat all the classical mapping spaces (CT functions, C functions with Holder conditions, and Sobolev functions). Several interesting aspects of these manifolds are investigated such as their tangent spaces, their behavior with respect to functions, and realizations of Lie group structures on them. Differentiable structures are also exhibited for spaces of compact maps with noncompact domain. Introduction. Let A(M, N) be a space of functions from a compact manifold M to a Riemannian manifold N. In 1956 J. Eells, Jr. 191 succeeded in showing that for a large variety of such function spaces the Riemannian structure on N determines a differentiable structure on A(M, TV). Since then function space manifolds have come to lie at the heart of modern infinite dimensional nonlinear analysis [8J, [lO], [ll], [l2J. The current interest in the topology of infinite dimensional manifolds [13j has not obscured the fact that the only concrete examples of such are still function space manifolds. The classical method of constructing charts on A(M, N) involves a utilization of the exponential map induced by the Riemannian structure on N. Abraham [l] following Smale has extended this method to the case when N is an infinite dimensional manifold which carries differentiable partitions of unity. Palais [23] and Eliasson [ 14j have given axiomatic descriptions of the function spaces j(M, N); mote generally, they also include spaces of sections of fibre bundles. The main result, and probably the best result that these classical methods can produce, is one of the following type. // M is a compact Cr manifold, N is a (-r + s+2 Banach manifold (l < s < °°) carrying Cr+S+2 partitions of unity and Received by the editors September 15, 1971. AMS 1970 subject classifications. Primary 58D15.
Levels of Evidence Supporting United States Guidelines in Pancreatic Adenocarcinoma Treatment

Simple Summary The aim of our work is to describe the level of evidence supporting therapeutic recommendations in United States pancreatic adenocarcinoma guidelines, and its evolution over time. We recorded the level of evidence for each therapeutic recommendation extracted from the American Society of Clinical Oncology and National Comprehensive Cancer Network guidelines. In both United States guidelines, less than 9% of therapeutic recommendations are supported by a high level of evidence. In the National Comprehensive Cancer Network guidelines, there was no significant increase in high level of evidence recommendations over time. However, guidelines authors can only deal with the available evidence to develop recommendations while highlighting the strengths and weaknesses of included studies. There is a need for a more collaborative effort in pancreatic adenocarcinoma treatment to tackle important therapeutic questions and challenge the current framework of evidence. Abstract Cancer guidelines are ideally based on high levels of evidence (LOE). We aim to evaluate the LOE supporting recommendations in United States (US) guidelines on pancreatic adenocarcinoma (PDAC) treatment and its evolution over time. We searched for current guidelines from the American Society of Clinical Oncology (ASCO) and National Comprehensive Cancer Network (NCCN) and their prior publicly available versions on societies’ websites and/or MEDLINE. We recorded the LOE and class of recommendation (opinion of the writing panel) for each recommendation. We defined high LOE as: a “high” quality of evidence from the GRADE methodology (ASCO) and “Category 1” (NCCN). Our main outcome was the proportion of PDAC recommendations supported by high LOE. Proportions of high LOE recommendations were 5% (2/40) and 8% (12/153) in current ASCO and NCCN guidelines, respectively. Less than 10% of class I recommendations were based on high LOE. For NCCN guidelines, the proportion of high LOE recommendations did not improve over time and only three recommendations increased their LOE. We identified a small percentage of high LOE recommendations for PDAC treatment in US guidelines. However, guidelines authors can only deal with the available evidence. The current framework of evidence should be challenged with consideration of observational evidence.
MemCork: Exploration of Hybrid Memory Architectures for Intermittent Computing at the Edge

Microcontroller units (MCUs) are often used in Internet of Things nodes that operate intermittently. Such nodes alternate active and inactive phases under strict energy constraints. Typically, the memory system has a significant impact on overall MCU energy consumption. Memory accesses and memory leakage power often dominate the consumption of active and inactive phases, respectively. Emerging Non-Volatile Memory (NVM) technologies have recently enabled the design of non-volatile MCUs that can significantly reduce energy consumption during inactive phases. However, replacing all memories with emerging NVMs is not necessarily the best solution, as it often results in dynamic power overhead during active phases. Instead, a hybrid memory architecture that combines volatile and non-volatile technologies is a promising alternative. However, designing hybrid memory MCUs is challenging because the technology that best fits a data segment depends on its access pattern during execution (e.g., program memory experiences mostly reads while the stack alternates reads and writes). For a given intermittent application, our goal is to find the best memory architecture based on a data mapping that takes advantage of the different properties of the available memory technologies. To this end, we present MemCork, a tool for hybrid memory architecture exploration in intermittent computing devices. Based on an instrumented execution on a technology-agnostic FPGA prototype, our tool exhaustively explores the possible data mapping and memory architecture combinations to find the most energy-efficient solution. We evaluate MemCork on two representative intermittent applications and find a customised memory architecture and data mapping that reduces energy consumption by up to 23% compared to a fully NVM solution.
Hydrodynamics simulations of 2ω laser propagation in underdense gasbag plasmas

Recent 2ω laser propagation and stimulated Raman backscatter (SRS) experiments performed on the Helen laser have been analyzed using the radiation-hydrodynamics code HYDRA [M. M. Marinak, G. D. Kerbel, N. A. Gentile, O. Jones, D. Munro, S. Pollaine, T. R. Dittrich, and S. W. Haan, Phys. Plasmas 8, 2275 (2001)]. These experiments utilized two diagnostics sensitive to the hydrodynamics of gasbag targets: a fast x-ray framing camera (FXI) and a SRS streak spectrometer. With a newly implemented nonlocal thermal transport model, HYDRA is able to reproduce many features seen in the FXI images and the SRS streak spectra. Experimental and simulated side-on FXI images suggest that propagation can be explained by classical laser absorption and the resulting hydrodynamics. Synthetic SRS spectra generated from the HYDRA results reproduce the details of the experimental SRS streak spectra. Most features in the synthetic spectra can be explained solely by axial density and temperature gradients. The total SRS backscatt.
Improving Tuberculosis Medication Adherence: The Potential of Integrating Digital Technology and Health Belief Model

Tuberculosis (TB) is a significant public health concern. Globally, TB is among the top 10 and the leading cause of death due to a single infectious agent. Providing standard anti-TB therapy for at least 6 months is recommended as one of the crucial strategies to control the TB epidemic. However, the long duration of TB treatment raised the issue of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Thus, directly observed therapy (DOT) has been introduced as a standard strategy to improve anti-TB medication adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life, which ultimately could complicate adherence issues. Apart from that, its effectiveness in improving anti-TB adherence is debatable. Therefore, digital technology could be an essential tool to enhance the implementation of DOT. Incorporating the health belief model (HBM) into digital technology can further increase its effectiveness in changing behavior and improving medication adherence. This article aimed to review the latest evidence regarding TB medication non-adherence, its associated factors, DOT’s efficacy and its alternatives, and the use of digital technology and HBM in improving medication adherence. This paper used the narrative review methodology to analyze related articles to address the study objectives. Conventional DOT has several disadvantages in TB management. Integrating HBM in digital technology development is potentially effective in improving medication adherence. Digital technology provides an opportunity to improve medication adherence to overcome various issues related to DOT implementation.
CARLEMAN ESTIMATES FOR THE SCHRÖDINGER OPERATOR WITH A LOCALLY SEMIBOUNDED STRONGLY SINGULAR POTENTIAL

Let be an arbitrary selfadjoint extension in , , of the minimal Schrodinger operator with a potential that is locally bounded from below. For a certain class of functions of and a parameter , which are connected with the hyperbolic equation , an estimate of the form is obtained for almost all ; here is a function with compact support and is explicitly expressed in terms of an arbitrary continuous function , . An application of this estimate to the question of pointwise approximation of functions by spectral "wave packets" is considered.Bibliography: 15 titles.
3D-Printed Polycaprolactone Mechanical Characterization and Suitability Assessment for Producing Wrist–Hand Orthoses

In this research, the mechanical properties of 3D-printed polycaprolactone (PCL), a biocompatible and biodegradable semi-crystalline polyester, available as feedstock for additive manufacturing technology based on the material extrusion process, were determined. The influence of the infill pattern (zig-zag vs. gyroid) and ultraviolet (UV-B) exposure over the specimens’ mechanical performances were also investigated to gather relevant data on the process parameter settings for different applications. Specimens and samples of 3D-printed PCL were analyzed through tensile and flexural tests. The experimental data showed the good repeatability of the manufacturing process, as well as a mechanical behavior independent of the specimens’ infill pattern at full density. No differences between the failure patterns of the tensile specimens were recorded. UV-B exposure proved to have a significant negative impact on the specimens’ tensile strength. The 3D printing of PCL and PCL blends is reported mainly for use in scaffold manufacturing or drug delivery applications. As another novelty, the suitability of commercial PCL filaments for producing patient-customized wrist–hand orthoses was also assessed in this study. Semi-cylindrical PCL samples mimicking the forearm part of a wrist–hand orthosis with hexagonal open pockets were 3D-printed and mechanically tested. The results were discussed in comparison to samples with a similar design, made of polylactic acid. The experiments revealed the need to carefully calibrate the manufacturing parameters to generate defect-free, good quality prints. Once settings were established, promising results were obtained when producing orthoses in a ready-to-use form. On the other hand, the attempts to thermoform flat 3D-printed PCL orthoses proved unsuccessful.
Depressive Rumination: Nature, Theory, and Treatment.

About the Editors. List of Contributors. Preface. Acknowledgements. PART I: NATURE AND CONSEQUENCES OF RUMINATION. 1. Nature, Functions, and Beliefs about Depressive Rumination (Costas Papageorgiou and Adrian Wells). 2. The Consequences of Dysphoric Rumination (Sonja Lyubomirsky and Chris Tkach). 3. Reactive Rumination: Outcomes, Mechanisms, and Developmental Antecedents (Jelena Spasojevic, Lauren B. Alloy, Lyn Y. Abramson, Donal MacCoon, and Matthew S. Robinson). 4. Mental Control and Depressive Rumination (Richard M. Wenzlaff). 5. Physiological Aspects of Depressive Rumination (Greg J. Siegle and Julian F. Thayer). PART II: THEORIES OF RUMINATION. 6. The Response Styles Theory (Susan Nolen-Hoeksema). 7. Rumination, Depression, and Metacognition: The S-REF Model (Gerald Matthews and Adrian Wells). 8. Rumination as a Function of Goal Progress, Stop-Rules, and Cerebral Lateralization (Leonard L. Martin, Ilan Shrira and Helen M. Startup). 9. A Comparison and Appraisal of Theories of Rumination (Melissa A. Brotman and Robert J. DeRubeis). PART III: MEASUREMENT AND TREATMENT OF RUMINATION. 10. Measurement of Depressive Rumination and Associated Constructs (Olivier Luminet). 11. Psychological Treatment of Rumination (Christine Purdon). 12. Cognitive Therapy for Depressive Thinking (Dean McMillan and Peter Fisher). 13. Metacognitive Therapy for Depressive Rumination (Adrian Wells and Costas Papageorgiou). Index.