Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification and description of telerehabilitation assessments for individuals with neurological conditions: A scoping review

Background The clinical adoption of telerehabilitation accelerated rapidly over the last few years, creating opportunities for clinicians and researchers to explore the use of digital technologies and telerehabilitation in the assessment of deficits related to neurological conditions. The objectives of this scoping review were to identify outcome measures used to remotely assess the motor function and participation in people with neurological conditions and report, when available, the psychometric data of these remote outcome measures. Methods MEDLINE (Ovid), CINAHL, PubMed, PsychINFO, EMBASE, and Cochrane databases were searched between December 13, 2020, and January 4, 2021, for studies investigating the use of remote assessments to evaluate motor function and participation in people with neurological conditions. An updated search was completed on May 9, 2022, using the same databases and search terms. Two reviewers independently screened each title and abstract, followed by full-text screening. Data extraction was completed using a pre-piloted data extraction sheet where outcome measures were reported as per the International Classification of Functioning, Disability and Health. Results Fifty studies were included in this review. Eighteen studies targeted outcomes related to body structures and 32 targeted those related to activity limitation and participation restriction. Seventeen studies reported psychometric data; of these, most included reliability and validity data. Conclusion Clinical assessments of motor function of people living with neurological conditions can be completed in a telerehabilitation or remote context using validated and reliable remote assessment measures.
Implementation of Indeterminate Transition Zones for Uncertainty Modeling in Classified Remotely Sensed Scenes

With the increasing importance of information derived from remotely sensed data for planning and decision processes also the necessity increases to generate binding and sound statements about the geometric and thematic uncertainties that go along with this information. However, in contrast to classical approaches problems arise in the course of an a priori evaluation of classification results, in particular for those that are based on spatial high resolution data. Consequently, new developments are necessary which are treated in the project „CLassification Assessment using an Integrated Method (CLAIM)“ which is performed by the authors and which is funded by the German Research Foundation (DFG). A key problem during the evaluation process is caused by the imperfections in the reference (“ground truth”) data itself. Because of the increased demands concerning better geometrical and thematic accuracies of modern sensor systems these uncertainties are becoming even more dominant and should not be neglected anymore. Hence, we propose an integrated approach that considers not only uncertainties in the classified but also in the reference data. Furthermore, the phenomenon of indeterminate boundaries gains in importance which can for instance be treated with methods known from fuzzy logic theory. But on the other hand so far no comprehensive solutions are known for the evaluation of uncertainties along indeterminate boundaries or within the resulting fuzzy transition zones. Based on a more detailed description of the overall problem and our general approach (see section 2) the focus of this contribution is on the geometric-semantic construction of these indeterminate transition zones (section 3). Some remarks on the implementation (section 4) and an outlook (section 5) complete this intermediate report about the project CLAIM.
Choice in Ablative Therapies for Thyroid Nodules

Abstract Ultrasound-guided ablation procedures have been growing in popularity and offer many advantages compared with traditional surgery for thyroid nodules. Many technologies are available, with thermal ablative techniques being the most popular currently though other nonthermal techniques, such as cryoablation and electroporation, are gaining interest. The objective of the present review is to provide an overview of each of the currently available ablative therapies and their applications in various clinical indications.
Glutamate infusion associated with reduced rises of p‐Copeptin after coronary surgery: Substudy of GLUTAMICS II

Glutamate plays a key role for post‐ischaemic recovery of myocardial metabolism. According to post hoc analyses of the two GLUTAMICS trials, patients without diabetes benefit from glutamate with less myocardial dysfunction after coronary artery bypass surgery (CABG). Copeptin reflects activation of the Arginine Vasopressin system and is a reliable marker of heart failure but available studies in cardiac surgery are limited. We investigated whether glutamate infusion is associated with reduced postoperative rises of plasma Copeptin (p‐Copeptin) after CABG.
Lipopolysaccharide transport regulates bacterial sensitivity to a cell wall-degrading intermicrobial toxin

Gram-negative bacteria can antagonize neighboring microbes using a type VI secretion system (T6SS) to deliver toxins that target different essential cellular features. Despite the conserved nature of these targets, T6SS potency can vary across recipient species. To understand the functional basis of intrinsic T6SS susceptibility, we screened for essential Escherichia coli (Eco) genes that affect its survival when antagonized by a cell wall-degrading T6SS toxin from Pseudomonas aeruginosa, Tae1. We revealed genes associated with both the cell wall and a separate layer of the cell envelope, lipopolysaccharide, that modulate Tae1 toxicity in vivo. Disruption of genes in early lipopolysaccharide biosynthesis provided Eco with novel resistance to Tae1, despite significant cell wall degradation. These data suggest that Tae1 toxicity is determined not only by direct substrate damage, but also by indirect cell envelope homeostasis activities. We also found that Tae1-resistant Eco exhibited reduced cell wall synthesis and overall slowed growth, suggesting that reactive cell envelope maintenance pathways could promote, not prevent, self-lysis. Together, our study reveals the complex functional underpinnings of susceptibility to Tae1 and T6SS which regulate the impact of toxin-substrate interactions in vivo.
The Morphological Component Analysis and Its Application to Color-gray Image Fusion ⋆

This paper focuses on a new color-gray image fusion algorithm based on Morphological Component Analysis (MCA) which is a novel decomposition (separation) method based on sparse representation of signals and images. The interest of the newly proposed fusion algorithm is the ability of preserving textural information. In our fusion scheme, color original images are transformed into gray-scale images firstly. Secondly, we discompose the gray-scale images into smooth parts and textural parts, and thirdly fuse them respectively; fourthly, gray-scale fused image is obtained by adding the two fused parts. Finally, the color fused images are achieved based on the gray-scale fused image. We tested the algorithm in medical and biological images, and experimental results justify the superiority of the fusion algorithm.
On Large-N Holographic Thermal QCD at Finite Gauge Coupling at (the Non-Conformal/Next-to) Leading Order in N

In the context of [1]'s string theoretic dual of large-N thermal QCD-like theories at finite gauge/string coupling (as part of the `MQGP' limit of [2]), we discuss the following. First, up to LO in N, using the results of [3], we show that the local T^3 of [2] is the T^2-invariant sLag of [3] in a resolved conifold. This, together with the results of [4], shows that for a (predominantly resolved or deformed) resolved warped deformed conifold, the local T^3 of [2] in the MQGP limit, is the T^2-invariant sLag of [3] justifying the construction of the delocalized SYZ type IIA mirror of the type IIB background of [1]. Then, using the prescription of [5], we obtain the temperature dependence of the thermal (and electrical) conductivity working up to leading order in N (the number of D3-branes), and upon comparison with [6] show that the results mimic a 1+1-dimensional Luttinger liquid with impurities. Further, including sub-leading non-conformal terms in the metric determined by M (the number of fractional D-branes = the number of colors = 3 in the IR after the end of a Seiberg duality cascade), by looking at respectively the scalar, vector and tensor modes of metric perturbations and using [7]'s prescription of constructing appropriate gauge-invariant perturbations, we obtain respectively the speed of sound, the diffusion constant and the shear viscosity \eta (and \eta/s) including the non-conformal O((g_s M^2) (g_s N_f)/N<<1)-corrections, N_f being the number of flavor D7-branes.
AN ADAPTED FRAME ON THE INDICATRIX BUNDLE OF A COMPLEX FINSLER SPACE

Following the study of the indicatrix of a complex Finsler space (M;L) initiated in [10], in this paper an adapted frame is introduced on the complexied of the real tangent bundle of the complex Finsler manifold in a manner that makes it easier to study the properties of the indicatrix bundle. The indicatrix IM is studied as a hypersurface of the holomorphic tangent bundle T 0 M and the adapted frame obtained on it gives simplied expressions of
Effect of vitamin D supplementation on hormones and menstrual cycle regularization in polycystic ovary syndrome women: A systemic review and meta‐analysis

Polycystic ovary syndrome (PCOS) is a prevalent endocrine disease among women of childbearing age. Women with PCOS frequently experience reproductive complications, which are closely associated with the concentration of vitamin D. This systemic review and meta‐analysis were conducted to elucidate the possible effect of vitamin D supplementation in PCOS women on hormones, including Luteinizing hormone (LH), follicle‐stimulating hormone (FSH), the ratio of LH and FSH (LH/FSH), and the menstrual cycle regularization.
Distribution of the high-velocity clouds in the Galactic halo

Context. There is a connection between the kinematics and sky distribution of the high velocity clouds (HVCs) and the spatial velocity and orbital plane of the Magellanic Clouds (MCs) that allow us to conclude that most HVCs were ejected from the Clouds, some hundreds of Myrs ago, probably by an encounter between the Large (LMC) and Small Magellanic Cloud (SMC). Aims. Based on the idea that HVCs have progenitors in the MCs, we attempt determine theoretical distances to the HVCs using observed data of the sky positions and radial velocities, and thus to map the spatial distribution of the HVCs. Methods. i) In the context of a kinematical model we have found an analytical formula that gives the distance of an HVC; ii) we have developed two dynamical models in order to study the orbits of the HVCs under the gravitational forces exerted by the Galaxy and the MCs and forces of resistance due to the movement of the HVCs through the Galactic gaseous disk. We have adopted the gravitational potential of the Milky Way given by a dark matter halo (Model 1) plus a massive thick disk partially composed by dark matter (Model 2). By means of a fitting to certain Galactic, MC and HVC conditions we have obtained values for the free parameters of the Models. We have obtained the dynamical distances to the HVCs by constructing the theoretical relationship between the radial velocity and the distance in the line of sight of each HVC. Results. The HVCs can be divided into three major groups: Population MS, Population W and Population A−C. Population MS comprises the Magellanic stream and the leading arm of the Magellanic system. The HVCs of this population are dispersed around the MCs within a volume of ≈200 kpc × 200 kpc × 60 kpc. Population W is situated at a mean distance of ≈15 kpc from the Sun, and has been braked by the gas of the Galactic disk. Population A−C includes Complexes A, C, H, L, M, and ACHVC. The dynamical models give two solutions for the distance of each HVC of Population A−C. The near-distance solutions place Population A− Ca t ≈6 kpc from the Sun, showing that this chain of HVCs started to interact with the outer parts of the Galactic gaseous disk about 100 Myr ago. While, the spatial distribution of Population A−C represented with the far distances has the shape of a gigantic ring with a radius of ≈125 kpc. Our results support the idea that the LMC-SMC encounter triggered a period of star formation bursts, in which part of the LMC bar was probably formed. The interactions of a few 10 5 massive stars formed in this era with the then-existing low metallicity ISM of the MCs would have created the HVCs
Development of the source calibration system of the STEREO experiment and search for sterile neutrinos at the ILL

The STEREO experiment has been proposed to give an unambiguous response to the hypothesis of a light sterile neutrino state (∆m 2 ∼ 1eV 2 ) as the origin of the reactor antineutrino anomaly. Its goal is to confirm or reject this hypothesis by searching at short distance (9-11 m) for a neutrino oscillation pattern in the energy spectrum of the ν e ’s emitted by the research nuclear reactor of the Laue-Langevin Institute in Grenoble (France). To this end, the detector is composed of 2 tons of Gd-loaded liquid scintillator read out by an array of PMTs, and is segmented in 6 cells in the direction of the ν e ’s propagation. Antineutrinos are detected via the IBD process by observing a time correlated signal composed of a prompt energy deposit from a positron and a delayed signal produced by the neutron capture. Measuring small oscillations superimposed on the reactor antineutrino energy spectrum requires a good energy resolution and an excellent knowledge of the detector response. This manuscript presents a dedicated Geant4 simulation study of a calibration system based on radioactive sources. This system has been conceived to fulfill all the STEREO physics requirements: calibrating the energy scale and the neutron capture efficiency at the 2 % level, knowing the energy response in the reactor antineutrino energy spectrum (0-8 MeV), and characterizing the detector response in a broader sense (non-uniformities, non-linearity, particle identification, etc). To this end, we propose three calibration subsystems: one automated subsystem to move radioactive sources around the detector, whose main role is to calibrate the energy scale in each cell independently; a second subsystem to inter-calibrate the neutron capture efficiency between cells by moving an AmBe source under the detector; and finally, a third subsystem consisting in three manual calibration tubes inside the liquid scintillator, necessary to assess the absolute neutron capture efficiency inside three different cells. The final part of this manuscript is devoted to the study of the selection criteria, and the proposal of methods to reject the expected gamma background.
Evaluation of two convection‐permitting ensemble systems in the HyMeX Special Observation Period (SOP1) framework

This study compares and evaluates two convection‐permitting ensemble systems based on Consortium for Small‐scale Modeling (COSMO) and Applications of Research to Operations at Mesoscale (AROME) models in the HyMeX framework. The performance of both AROME‐EPS and COSMO‐H2‐EPS (where EPS denotes Ensemble Prediction System) is assessed over the whole HyMeX special observation period SOP1. Afterwards, an analysis of the predictability of two heavy precipitation events observed during the intense observation period IOP16a of the first HyMeX special observation period SOP1 on 26 October 2012 is also undertaken. Ensemble discharge forecasts were carried out to reinforce the quantitative precipitation forecast evaluation.
Relationship Between Airborne Fungi Presence and the Position of the High Efficiency Particulate Air Filter in the Heating, Ventilation, and Air Conditioning System

Aim: Establish the influence of the terminal or nonterminal position of High Efficiency Particulate Air (HEPA) filters in the Heating, Ventilation, and Air Conditioning (HVAC) system on the presence of airborne fungi in controlled environment rooms. Background: Fungal infections are an important cause of morbidity and mortality in hospitalized patients. Methods: This study was realized from 2010 to 2017, in rooms with terminal and nonterminal HEPA filters, in eight Spanish hospitals. In rooms with terminal HEPA filters, 2,053 and 2,049 samples were recollected, and in rooms with nonterminal HEPA filters, 430 and 428 samples were recollected in the air discharge outlet (Point 1) and in the center of the room (Point 2), respectively. Temperature, relative humidity, air changes per hour, and differential pressure were recollected. Results: Multivariable analysis showed higher odds ratio (OR) of airborne fungi presence when HEPA filters were in nonterminal position (OR: 6.78; 95% CI [3.77, 12.20]) in Point 1 and (OR: 4.43; 95% CI [2.65, 7.40]) in Point 2. Other parameters influenced airborne fungi presence, such as temperature (OR: 1.23; 95% CI [1.06, 1.41]) in Point 2 differential pressure (OR: 0.86; 95% CI [0.84, 0.90]) and (OR: 0.88; 95% CI [0.86, 0.91]) in Points 1 and 2, respectively. Conclusions: HEPA filter in terminal position of the HVAC system reduces the presence of airborne fungi. To decrease the presence of airborne fungi, adequate maintenance of the environmental and design parameters is necessary in addition to the terminal position of the HEPA filter.
Trauma-Responsive Vocational Rehabilitation Services

Research on the effectiveness of Vocational Rehabilitation (VR) Programs has revealed that VR services are less effective for trauma-affected and Black consumers. For instance, consumers with trauma exposure disengage from services earlier than their non-traumatized counterparts, and Black consumers benefit less from each phase of VR services compared to others. One midwestern state’s VR program sought to address these disparities by offering trauma-informed and trauma-responsive services that emphasize cultural responsiveness, racial equity, and strengths-based practices. To begin this work, the state’s VR program collaborated with an applied research unit in a public university to establish two work groups: a communications group and a training group. The purpose of the communications group was to build a robust referral network within the VR Division and with other community-based agencies and providers, particularly for low-income, Black consumers. The purpose of the training group was to develop and deliver a training program to support VR professionals in providing trauma-informed and trauma-responsive services. Results from an evaluation of the training indicated that each training module generated for staff both reminders and new insights into ways to effectively work with consumers. Staff expressed that they wanted opportunities to further explore and apply the training content and needed additional, ongoing support to implement what they were learning. In response to staff needs, the state’s VR program is continuing to invest in this community–university partnership by establishing communities of practice for staff and evaluating the effectiveness of the training program.
Maternal-fetal outcomes of pregnant women with type 1 diabetes treated with continuous subcutaneous insulin infusion or multiple daily injections during pregnancy – A Brazilian health care referral center cohort study

ABSTRACT Objective: Pregnant women with type 1 diabetes (T1D) have an increased risk of maternal-fetal complications. Regarding treatment, continuous subcutaneous insulin infusion (CSII) has advantages compared to multiple daily injections (MDI), but data about the best option during pregnancy are limited. This study's aim was to compare maternal-fetal outcomes among T1D patients treated with CSII or MDI during pregnancy. Subjects and methods: This study evaluated 174 pregnancies of T1D patients. Variables of interest were compared between the groups (CSII versus MDI), and logistic regression analysis was performed (p < 0.05). Results: Of the 174 included pregnancies, CSII was used in 21.3% (37) and MDI were used in 78.7% (137). HbA1c values improved throughout gestation in both groups, with no difference in the first and third trimesters. The frequency of cesarean section was significantly higher in the CSII group [94.1 vs. 75.4%, p = 0.017], but there was no significant difference in the frequency of other complications, such as miscarriage, premature delivery and preeclampsia. The mean birth weight and occurrence of neonatal complications were also similar, except for the proportion of congenital malformations, which was significantly lower in the CSII group [2.9 vs. 15.6%, p = 0.048]. In regression analysis, the association of CSII with cesarean section and malformations lost significance after adjusting for HbA1c and other covariates of interest. Conclusion: In this study, we observed a higher frequency of cesarean section and a lower occurrence of congenital malformations in the CSII group, but the adjusted results might indicate that these associations are influenced by glycemic control.
Study of digital watermark based on chaos algorithm

A chaos-based LSB watermarking algorithm is proposed in this paper, which is based on traditional LSB watermarking. This method adopts Logistic Chaos-Map to generate sequence, and then construct watermark embedded in the image. This algorithm greatly enriches the types of watermark and simplifies initial conditions of constructing watermarks. At the same time, an improved Patchwork watermarking algorithm is presented which is based on multiple sets. This arithmetic uses binary or multiply chaotic sequence to divide carrier images. At last, this paper introduces the multiwatermarking of colourful image based on chaos algorithm.
Efficient Community Detection

Given a large network, local community detection aims at finding the community that contains a set of query nodes and also maximises (minimises) a goodness metric. Furthermore, due to the inconvenience or impossibility of obtaining the complete network information in many situations, the detection becomes more challenging. This problem has recently drawn intense research interest. Various goodness metrics have been proposed. And most of them base on the statistical features of community structures, such as the internal density or external spareness. However, the metrics often result in unsatisfactory results by either including irrelevant subgraphs of high density, or pulling in outliers which accidentally match the metric for the time being. Further more, when in a highly overlapping environment such as social networks, the unconventional community structures make these metrics usually end up with a quite trivial detection result. In our work, we go for a alternative point of view on the formation of the communities, namely the assembly of nodes with different roles in the structure. With the new view point, we present two metrics which are proved to perform superiorly in traditional and complex environment respectively. Moreover, on realising a single metric is whatsoever limited in effectiveness as well as scope of application, we raise up a complete framework for the collaboration of metrics in the field, which also lands a base-stone for future innovations. The experiment results collected from Amazon, DBLP, Youtube and LivingJournal well certifies the effectiveness of the metrics.