Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the clinical efficacy of the PeTrack motion tracking system for respiratory gating in cardiac PET imaging

Respiratory gating is a common technique used to compensate for patient breathing motion and decrease the prevalence of image artifacts that can impact diagnoses. In this study a new data-driven respiratory gating method (PeTrack) was compared with a conventional optical tracking system. The performance of respiratory gating of the two systems was evaluated by comparing the number of respiratory triggers, patient breathing intervals and gross heart motion as measured in the respiratory-gated image reconstructions of rubidium-82 cardiac PET scans in test and control groups consisting of 15 and 8 scans, respectively. We found evidence suggesting that PeTrack is a robust patient motion tracking system that can be used to retrospectively assess patient motion in the event of failure of the conventional optical tracking system.
Continuous Dependence for Two Implicit Kirk-Type Algorithms in General Hyperbolic Spaces

This paper aims to study extensively some results concerning continuous dependence for implicit Kirk-Mann and implicit Kirk-Ishikawa iterations. In order to equipoise the formation of these algorithms, we introduce a general hyperbolic space which is no doubt a free associate of some known hyperbolic spaces. The present results are extension of other results and they can be used in many applications.
Optimizing YOLOv5 algorithm for Mask-wearing Detection

The novel coronavirus has a strong ability to spread and survive. Wearing a mask correctly can effectively reduce the spread of the virus among the crowd. How to intelligently and efficiently detect the wearing of a mask is of great significance. Detecting whether to wear a mask is the target detection content that many researchers are currently studying. YOLOv5 (You Only Look Once) is an excellent algorithm in target detection. Given that detecting whether a mask is worn is different from other target detection tasks, in this paper, we tried to optimize YOLOv5 algorithm to make it more suitable for mask-wearing detection. In words, detection layers, attention mechanism were added, and proper loss function was chosen strictly to the YOLOv5 target detection algorithm. So that optimal YOLOv5 algorithm model was proposed. The accuracy rate (precision), recall rate (recall) and average precision (mAP) of the algorithm on the test set were 83%, 83.3% and 81.7% respectively, higher than YOLOv3, YOLOv4, YOLOv5 detection algorithm.
Theory and applications of bijective barycentric mappings

Barycentric coordinates provide a convenient way to represent a point inside a triangle as a convex combination of the triangle’s vertices, and to linearly interpolate data given at these vertices. Due to their favourable properties, they are commonly applied in geometric modelling, finite element methods, computer graphics, and many other fields. In some of these applications it is desirable to extend the concept of barycentric coordinates from triangles to polygons. Several variants of such generalized barycentric coordinates have been proposed in recent years. An important application of barycentric coordinates consists of barycentric mappings, which allow to naturally warp a source polygon to a corresponding target polygon, or more generally, to create mappings between closed curves or polyhedra. The principal practical application is image warping, which takes as input a control polygon drawn around an image and smoothly warps the image by moving the polygon vertices. A required property of image warping is to avoid fold-overs in the resulting image. The problem of fold-overs is a manifestation of a larger problem related to the lack of bijectivity of the barycentric mapping. Unfortunately, bijectivity of such barycentric mappings can only be guaranteed for the special case of warping between convex polygons or by triangulating the domain and hence renouncing smoothness. In fact, for any barycentric coordinates, it is always possible to construct a pair of polygons such that the barycentric mapping is not bijective. In the first part of this thesis we illustrate three methods to achieve bijective mappings. The first method is based on the intuition that, if two polygons are sufficiently close, then the mapping is close to the identity and hence bijective. This suggests to “split” the mapping into several intermediate mappings and to create a composite barycentric mapping which is guaranteed to be bijective between arbitrary polygons, polyhedra, or closed planar curves. We provide theoretical bounds on the bijectivity of the composite mapping related to the norm of the gradient of the coordinates. The fact that the bound depends on the gradient implies that these bounds exist only if the gradient of the coordinates is bounded. We fo-
Representative Bureaucracy, Age-Friendly Planning, and the Role of Gender, Public Engagement, and Professional Management

What leads to more age-friendly cities: professional management, passive gender representation in management, or active public engagement? In a survey of 1,378 local governments, age-friendly features were measured in the community comprehensive plan, zoning codes, and economic development plan. Gender representation does not distinguish level of age-friendly planning, but public engagement promotes age-friendly practices in all three areas: comprehensive plans, zoning, and economic development plans. Structural equation models find professionalism and public engagement matter more than gender representation in management, as they promote active representation, which leads to more age-friendly practices.
Factors Effecting of the Consumer Purchase Intention by Local Life Services Live Streaming

As new e-commerce and local life service model, local service live streaming has great potential. This study intends to investigate the connections between live streamers, viewers, the product, the platform (i.e., ability, interaction, comment, promotion, trust and popularity) and the consumer's purchase intention. It also investigates the moderating role of consumer perceived value (i.e. perceived risk, perceived usefulness and perceived social value). Collected data from questionnaire and examined the hypotheses with structural equation model. The results suggest that interaction and ability have direct positive effects on purchase intention, and consumer perceived risk, perceived usefulness and perceived social value has significant moderating effect between factors and intention. This study gives some management implications for local service live streaming while extending the field of theoretical research on consumers purchase intention.
Fault Diagnosis and Detection for Battery System in Real-World Electric Vehicles Based on Long-Term Feature Outlier Analysis

Accurate detection and diagnosis battery faults are increasingly important to guarantee safety and reliability of battery systems. Developed methods for battery early fault diagnosis concentrate on short-term data to analyze the deviation of external features without considering the long-term latent period of faults. This work proposes a novel data-driven method to detect long-term latent fault and abnormality for electric vehicles (EVs) based on real-world operation data. Specifically, the battery fault features are extracted from the incremental capacity (IC) curves, which are smoothed by advanced filter algorithms. Second, principal component analysis (PCA) algorithm is utilized to reduce dimensionality, and the cumulative percent variance (CPV) is to determine the number of significant features. Based on the features, a cluster algorithm is employed to capture the battery potential failure information. Moreover, the cumulative root-mean-square deviation is introduced to quantificationally analyze the degree of the battery failures using large-scale battery data to avoid the missing fault reports using short-term data. In addition, a battery system failure index is proposed to evaluate battery fault conditions. The results indicate that the proposed long-term feature analysis method can effectively detect and diagnose faults.
The role of the strange quark in chiral symmetry breaking

This document is focused on QCD at low energies (below 1 GeV), where the breakdown of chiral symmetry takes place, explaining the existence of an octet of light pseudoscalar mesons (pi, K and eta). The dynamics of these states is related to the actual pattern of chiral symmetry breaking. The particular mass hierarchy of the light quark masses allows one to consider (and compare) two different chiral limits of interest, with m_u=m_d=0 and m_s kept at its physical value (N_f=2 massless flavours) or m_u=m_d=m_s=0 (N_f=3 massless flavours). The related chiral order parameters are discussed in terms of the Euclidean Dirac operator, highlighting the role of the fermion determinant and the sea strange-quark pairs, and indicating that order parameters should decrease when one goes from N_f=2 to N_f=3 chiral limits. The consequences of this suppression for the effective theory of QCD at low energies, i.e., Chiral Perturbation Theory, are considered, in particular the conditions under which chiral expansions are saturated by their leading order. The next-to-leading order low-energy constants L_4 and L_6, suppressed by the Zweig rule in the scalar sector but enhanced by the large value of the strange quark, are shown to play an essential role. Several sources of information are then analysed: a sum rule related to the dependence of the N_f=2 chiral condensate on the strange-quark mass indicates a signficant variation from m_s=0 to its physical value, lattice simulations yielding the dependence of pseudoscalar observables on the quark masses show a suppresion of leading-order contributions compared to next-to-leading ones in three-flavour chiral series, the comparison of low-energy pi-pi and pi-K scattering data using dispersive methods exhibits significant differences between N_f=2 and N_f=3 chiral symmetry breakings . All these elements point towards the need for a careful assessment of the convergence of N_f=3 Chiral Perturbation Theory, for which a framework is proposed.
The Delivery Dispatching Problem with Time Windows for Urban Consolidation Centers

This paper addresses the dispatch decision problem faced by an urban consolidation center. The center receives orders according to a stochastic arrival process, and dispatches them for the last-mile distribution in batches. The operator of the center aims to fi nd the cost-minimizing consolidation policy, depending on the orders at hand, pre-announced orders, and stochastic arrivals. We present this problem as a variant of the Delivery Dispatching Problem that includes dispatch windows, and model it as a Markov decision problem. For toy-sized instances, we solve this model to optimality. Through numerical experiments on these instances, we show that we approximate the optimal values with an error of less than 2%. Larger instances suff er from intractably large state-, outcome-, and action spaces. We propose an Approximate Dynamic Programming (ADP) algorithm that can handle such instances, using value function approximation to estimate the downstream costs. To cope with large action spaces - with sizes up to 2120 in our experiments - we formulate an integer linear program to be used within our ADP algorithm. To evaluate the performance of our ADP policies, we test against various benchmark policies, including a lookahead policy based on scenario sampling. We test the performance of ADP on a variety of networks. When the dispatching problem provides su fficient fl+6exibility in dispatch times, ADP outperforms our myopic benchmark policies by more than 15%, and lookahead policies by over 10%.
Turbulence generation in the wake of perpendicular cylinders and bars.

The complex mechanisms by which turbulence is generated in the wake of non-connecting perpendicular cylinders and bars immersed in a uniform airflow have been investigated by undertaking a wind tunnel study. The effects, upon both the flow around each member in the configuration and the fluid motion in the near wake, of changes in the member spacing were assessed, and in this respect a critical separation distance has been identified. It was found that the overall flow field created by the perpendicular geometry can be divided into an inner region of highly disturbed conditions and an outer region of quasi two dimensional flow. The characteristics of the turbulent inner region were ascertained from comprehensive measurements of surface pressures, mean velocities, flow vorticity, and turbulence parameters including intensities, length scales, spectral energies and kinetic energies. The results revealed that, with regard to both section types, two fundamental regimes are possible, and that these are separated by a critical member spacing of three diameters/section depths. When the spacing is below this critical value the mechanism of turbulence generation is dominated by a pair of horseshoe vortices which develop around the centre of the downstream span. At the critical spacing, these horseshoe vortices are replaced by weaker longitudinal trailing vortices which persist over the range of spacings examined up to ten diameters/ section depths. Although the general characteristics of these mechanisms are similar in the case of both the perpendicular cylinders and perpendicular bars, the precise nature of each regime was found to be dependent upon section type. In addition, during the course of this research it was necessary to design and construct electronic equipment incorporating a dual channel analogue to digital conversion process. This enabled the simultaneous acquisition of data from two hot-wire anemometers for the purpose of obtaining spatial correlation coefficients.
Analytical Design of PI Controller for First Order Transfer Function Plus Time Delay: Stability Triangle Approach

In this study, proportional-integral (PI) controller design with a geometric approach for first order time-delayed systems is presented. This method can be expressed as an improved version of the weighted geometric center method. The method is based on calculating the center of gravity of a stability triangle selected inside the stability boundary locus (SBL). Stability boundary is determined along the <inline-formula> <tex-math notation="LaTeX">$(k_{p},k_{i})$ </tex-math></inline-formula> axes with the SBL. A stability triangle is formed with the two boundary points of the SBL intersecting the <inline-formula> <tex-math notation="LaTeX">$k_{p}$ </tex-math></inline-formula> axis for <inline-formula> <tex-math notation="LaTeX">$k_{i} =0$ </tex-math></inline-formula> and the point corresponding to the weighted geometric center value of the angular frequency. The center of gravity of the determined stability triangle gives the optimum PI control gains. Also, an analytical solution method for the PI controller design is presented. The proposed method (stability triangle) is examined on numerical examples. The time response performances of the controller calculated with the proposed method and the controllers calculated using the weighted geometric center method were compared. In addition, the comparisons of the PI controller determined by the proposed method and the different controllers selected in the neighborhood of this point are included. Comparisons with the studies in the literature including the PI controller design of the time-delayed first-order open-loop unstable transfer function are presented. As a result, it has been seen that the proposed method determines the parameters that provide optimum system performance in the tested region.
AN AUGMENTED IIM & PRECONDITIONING TECHNIQUE FOR JUMP EMBEDDED BOUNDARY CONDITIONS

A second-order accurate augmented method is proposed and analyzed in this paper for a general elliptic PDE with a general boundary condition using the jump embedded boundary conditions (JEBC) formulation. First of all, the existence and uniqueness of an interface problem with given are discussed. Then, the well-posedness theory is extended to the interface problems with given jump conditions. In the proposed numerical method, one novel idea is to precondition-ing the PDE first so that the coefficient of the highest derivative is of O(1). The second idea is to introduce two augmented variables corresponding to the jump in the solution and its normal derivative along the boundary to get an interface problem. For a piecewise constant coefficient, the fast Poisson solver then can be utilized in a rectangular domain. The augmented variables can be determined from a Schur complement system. We also propose two preconditioning techniques for the GMRES iterative method for the Schur complement; one is from the flux jump condition, and the other one is from the algebraic preconditioner based on the interpolation scheme in the augmented algorithm. The presented numerical results show that the proposed method has not only obtained second order accurate solutions in the L ∞ norm globally, but also second order accurate normal derivatives at the boundary from each side of the interface. The proposed preconditioning technique can speed up 50-90% compared with the method without preconditioning. Key words. Jump embedded boundary conditions (JEBC), augmented immersed interface method, fast Poisson solver, irregular domain, PDE and algebraic preconditioner.
What is the problem? Representations of gender and violence towards politicians in UK parliamentary debates

Recent research demonstrates that there are important gendered dimensions in politicians’ experiences of violence. Less scholarship has examined the phenomenon’s political impacts, including how violence is represented as a policy problem by political actors themselves. This article applies feminist frame analysis to theories of gender and political violence to explore how UK members of Parliament frame their experiences of violence (including abuse, harassment and intimidation) in the eight House of Commons debates specifically on the topic between 2010 and 2021. Violence towards politicians, including an increasing focus on the experiences of women and social media abuse, has been politicised over time as a normative policy problem, being framed as an attack on the public good of democracy. This article develops theories of gender and political violence by demonstrating that the problem of gendered political violence can and should be conceptualised not only as a unique phenomenon but also as a policy problem.
Does the Enhanced Recovery Pathway Decrease Length of Stay and Readmission Rates in Patients Undergoing Gynecologic Surgery?

The Enhanced Recovery After Surgery (ERAS) pathway promotes an early recovery after surgery using an evidence-based multidisciplinary approach. The ERAS protocol is aimed at standardizing care to improve patient outcomes. There is consistent evidence that ERAS pathways reduce hospital length of stay (LOS) and readmission rates, decrease healthcare costs, and improve patient satisfaction and outcomes. By attenuating the surgical stress response and supporting the return of physiological function, the ERAS pathway achieves its effectiveness. This scholarly project aimed to evaluate how ERAS improves patient outcomes in gynecology patients at a county hospital. A standardized method for improving patient recovery was not in place at the institution prior to the implementation of the ERAS pathway. ERAS-boarded gynecology surgery patients were reviewed retrospectively as part of this quality improvement project. Through this quality improvement project, hospital LOS was reduced without increasing readmissions or complications. There were no significant relationships between readmission rate and categorical extraneous variables. However, two significant relationships were found among LOS and the categorical extraneous variables. Hispanics had a shorter LOS and women who had an open procedure had longer LOS. As a result of the evaluation of this pathway, modifications may be made to the implementation of ERAS to ensure the high level of success of the program and enhance its expansion to other surgical specialties.
Accuracy and Stability of Virtual Source Method for Numerical Simulations of Nonlinear Water Waves

Copyright © 2018 by the International Society of Offshore and Polar Engineers (ISOPE) The virtual source method (VSM) developed by Langfeld et al., (2016) is based upon the integral equations derived by using Green's identity with Laplace's equation for the velocity potential. These authors presented preliminary results using the method to simulate standing waves. In this paper, we numerically model a non-linear standing wave by using the VSM to illustrate the energy and volume conservation. Analytical formulas are derived to compute the volume and potential energy while the kinetic energy is computed by numerical integration. Results are compared with both theory and boundary element method (BEM).
Avaliação de Desempenho em Cursos de Engenharia de Computação Baseada nos Microdados do ENADE

Este artigo apresenta uma análise de desempenho dos discentes em cursos de Bacharelado em Engenharia da Computação a partir da aplicação de técnicas de ciência de dados nos microdados do Exame Nacional de Desempenho dos Estudantes (ENADE). Os resultados dizem respeito ao curso ofertado pela Universidade Federal do Pará. Não obstante, a mesma metodologia empregada pode ser aplicada a cursos de outras instituições. De maneira contributiva, coordenadores de curso usufruirão de informações relevantes sobre o desempenho de seus alunos em comparação com a média nacional. Tal compreensão revela áreas deficientes do curso que, por sua vez, podem ser convertidas em melhorias no projeto pedagógico e na qualidade do ensino.
MAPPING THE AIR MOISTURE CHANGE IN UNDER CANOPY TREES USING A HEMISPHERICAL AND AERIAL PHOTOGRAPH BASED ON MACHINE LEARNING APPROACHES

The essential roles of trees in controlling the local climatic variation, such as air moisture, are still interesting to observe. Therefore, this study must deliver knowledge of the benefits of growing trees and enhance people's awareness of climate change adaptation. Here, the analysis requires several data fields such as hemispherical photography, an aerial photograph of a UAV, and air temperature collected using a wet and dry bulb thermometer, which has converted to air moisture. All these are considered to understand the air moisture change under the trees' canopy during a day observation. The hemispherical photography and aerial photograph of a UAV are processed to measure the tree's canopy size and then used together with interpolated air moisture to map the variation in air moisture distribution in under-canopy trees using random forest (RF) and Artificial Neural Network (ANN). The result shows that hemispherical photography describes the ability to control the air moisture change. As its size increases, the air moisture level tends to be higher. It was maintained at more than 70% compared to the area with lower canopy cover. This characteristic is similar to the pattern shown by the RF and ANN. However, the SVM has better results as it can separate air humidity in vegetated and non-vegetated areas.