Miracle-dz/UniFAR-FTUs huggingface dataset:
An approach to examine dynamic behavior of medical compression bandage

Compression bandages are subjected to a repeated and prolonged spatial deformation, at knee and ankle positions, during ambulatory conditions of the lower limb. The important dynamic variables like speed, the amount of the degree of bending at knees and ankles, etc. could affect the long-term compression behavior of the bandage. The aim of this study was to investigate the dynamic behavior of medical compression bandage using a newly designed dynamic leg-segment model. A prototype was especially designed to simulate the dynamic behavior of the human leg using a mannequin limb. The influence of major factors, i.e. the speed of the reciprocating movement of the mannequin, the amount of displacement amplitude of the reciprocating movement of the mannequin (i.e. step size), and the applied extension level given to the bandage, on the sub-bandage pressure exerted by the bandage on the mannequin surface were analyzed using this model. It was observed that the rate and amount of the sub-bandage pressure drop increased under dynamic mode of the mannequin as compared to static mode. A higher drop in the sub-bandage pressure under dynamic mode was obtained with increasing the amount of displacement amplitude of the mannequin leg and also with increasing the applied extension level given to the bandage. The ambulatory conditions of the leg result in cyclic deformations in the wrapped bandage, and this influences the sub-bandage pressure variations over time. The proposed leg-segment model enables to assess dynamic behavior of different compression bandages under customized conditions and hence could be used for comparing and pre-evaluating different bandage products.
[Influence of Comorbidities on Revision Rate within the First Year after Primary Total Hip Arthroplasty].

Background Total hip arthroplasty (THA) is very frequently performed. Despite low complication rates, revisions play an important clinical and economical role. The aim of this study was to identify comorbid diseases of patients undergoing primary THA and their potential influence on the survival of hip replacements. Patients/Material and Methods A total of 867 patients were included in this retrospective study. All revisions were reviewed that took place at our hospital within one year of primary implantation of THA. Comorbid diseases were detected by administrative data, using the Elixhauser definition, which includes thirty diseases. The Cox regression model and Fisher's exact test were used to examine correlations between comorbidities and risk of revision. Results 41 Patients required re-operation within the first year of surgery. The presence of one or more of the analysed comorbidities was associated with a greater risk of revision. Deficiency anemia, obesity, drug abuse, alcohol abuse, fluid and electrolyte disorders and peripheral vascular disorders were associated with increased risk of revision (p < 0.05 for all comparisons). CONCLUSION The total number of comorbidities and specific comorbid diseases was independently associated with an increased risk of re-operation within the first year of total hip arthroplasty. This information could be helpful in pre- and post-operative risk adjustment and patient selection.
Wavelets: Algorithms and Applications (Yves Meyer)

analyzed. Roughly speaking, when the residual criterion is used, the error of an approximate solution is measured by how much it violates the equation rather than by its distance from the true solution. The worst case setting is the most reassuring setting since the cost and errors of algorithms are defined by their worst case performance. However, for some problems it is too pessimistic and it causes the respective worst case complexity to be huge. This is especially the case for multivariate problems. For ill-posed problems, the situation is even worse since the worst case complexity is infinite. To cope with such intractability (or unsolvability) analyzing the problems in other settings is in order. Therefore, in Chapter 7, average case and probabilistic settings are considered. In these settings, the space of functions is equipped with a probability measure (Gaussian measures are assumed through out the book). Then the error and cost of algorithms are measured by their expectations (average case setting) or probability of being too large (probabilistic setting) instead of by their maximal values. It turns out that in these two settings, worst case unsolvable or intractable problems become solvable or tractable. Another two settings, asymptotic and randomized, are considered in Chapter 8. Both settings are closely related to the worst case setting; however, in the asymptotic setting sequences of algorithms with increasing number of information pieces are studied. A winner is the one with the fastest rate of convergence. In the randomized setting, nondeterministic (random) information and algorithms (e.g., Monte Carlo methods) are allowed. am not quoting concrete results on complexities for various problems and/or settings; in particular, how much complexity reduction is gained by switching from the worst case setting to other settings. Doing so would be like telling the conclusion of a suspense novel to the reader who is about to start reading it. Hence, instead, let me strongly recommend this valuable book.
Robust In-Flight Sensor Fault Diagnostics for Aircraft Engine Based on Sliding Mode Observers

For a sensor fault diagnostic system of aircraft engines, the health performance degradation is an inevitable interference that cannot be neglected. To address this issue, this paper investigates an integrated on-line sensor fault diagnostic scheme for a commercial aircraft engine based on a sliding mode observer (SMO). In this approach, one sliding mode observer is designed for engine health performance tracking, and another for sensor fault reconstruction. Both observers are employed in in-flight applications. The results of the former SMO are analyzed for post-flight updating the baseline model of the latter. This idea is practical and feasible since the updating process does not require the algorithm to be regulated or redesigned, so that ground-based intervention is avoided, and the update process is implemented in an economical and efficient way. With this setup, the robustness of the proposed scheme to the health degradation is much enhanced and the latter SMO is able to fulfill sensor fault reconstruction over the course of the engine life. The proposed sensor fault diagnostic system is applied to a nonlinear simulation of a commercial aircraft engine, and its effectiveness is evaluated in several fault scenarios.
RADIAL PRESSURES IN POWDER COMPACTION

AbstractA simple theory is advanced to explain the variation of radial (die-wall) pressure during compaction in conventional dies. The theory predicts that, during the application and release of pressure by the punch, the radial pressure should follow a characteristic cycle whose form is determined by the elastic properties and by the yield stress in shear of the material being pressed. The theory is supported by experimental radial-pressure determinations on a range of materials.The theory accounts for the residual radial pressures that dies continue to exert on compacts after removal of the punch pressure; according to the theory, these residual pressures arise through shearing of the pressed material, and have maximum values which are determined by the shear strength of the material. The mechanism of production of capping and laminar cracks by residual radial pressures is discussed in detail.An apparatus for the measurement of radial pressures and powder/die friction coefficients at moderately high tem.
Nanosecond-Precision Time-of-Arrival Estimation for Aircraft Signals with Low-Cost SDR Receivers

Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are important for a wide set of applications including aircraft/drone tracking, air traffic data verification, or self-localization. Our focus in this work is on TOA estimation methods that can run on low-cost software-defined radio (SDR) receivers, as widely deployed in Mode S / ADS-B crowdsourced sensor networks such as the OpenSky Network. We evaluate experimentally classical TOA estimation methods which are based on a cross-correlation with a reconstructed message template and find that these methods are not optimal for such signals. We propose two alternative methods that provide superior results for real-world Mode S / ADS-B signals captured with low-cost SDR receivers. The best method achieves a standard deviation error of 1.5 ns.
Organizing Images from Social Media to Monitor Real-World Events

Everyday, millions of images are posted in social media websites online. Given that in social media websites there are no guarantees of image precedence and quality, making sense of social media imagery presents itself as a challenging task. In this paper, we describe the architecture of a system developed to facilitate the analysis of social media imagery. Our system combines both low-level and high-level image analytics to organize the images into a reduced and semantically-linked set that can be explored by end-users. We evaluate our system on a large dataset of images posted during major social media events such as the 2014 World Cup Finals. Keywords-Social Media, Imagery Analytics, Visual Analysis
Emotional and Financial Experiences of Kidney Donors over the Past 50 Years: The RELIVE Study.

BACKGROUND AND OBJECTIVES Most kidney donors view their experience positively, but some may experience psychosocial and financial burdens. We hypothesized that certain donor characteristics, poor outcome of the recipient, negative perceptions of care, and lack of support may be associated with poor psychosocial outcomes for donors. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS The Renal and Lung Living Donors Evaluation Study (RELIVE) examined long-term medical and psychosocial outcomes for kidney donors (at three U.S. transplant centers) who donated between 1963 and 2005. Standardized questionnaires evaluated donor perspectives, recovery time, social support, motivation, financial impact, insurability after donation, and current psychological status. Questionnaires were mailed to 6909 donors. RESULTS Questionnaires were returned by 2455 donors, who had donated 17 ± 10 years earlier (range, 5-48 years), a response rate of 36%. Most (95%) rated their overall donation experience as good to excellent. Rating the overall donor experience more negatively was associated with donor complications, psychological difficulties, recipient graft failure, and longer time since donation. Nine percent (n=231) reported one or more of the following poor psychosocial outcomes: fair or poor overall donor experience, financial burden, regret or discomfort with decision to donate, or psychological difficulties since donation. Recipient graft failure was the only predictor for reporting one or more of these poor psychosocial outcomes (odds ratio, 1.77; 95% confidence interval, 1.33 to 2.34). Donors with lower educational attainment experienced greater financial burden. One of five employed donors took unpaid leave; 2% reported health and life insurability concerns. CONCLUSIONS Although the majority of donors viewed their overall donation experience positively, almost 1 in 10 donors reported at least one negative consequence related to donation. Recipient graft failure was associated with poor psychosocial outcome, defined as one or more of these negative consequences. Some donors were financially disadvantaged, and some experienced insurance difficulties. Interventions to avoid negative psychosocial and financial consequences are warranted.
Controlling multimedia players using NFC enabled mobile phones

Multimedia content is commonly manipulated using a keyboard and a mouse. We propose an innovative way of controlling multimedia services using mobile phones equipped with NFC (Near Field Communication) compliant RFID readers. A user activates multimedia content by touching an RFID tag. This action configures the mobile phone as a remote control for the multimedia content. The user sends commands such as play, pause and stop, using the phone's UI. The multimedia content is shown on a wall display. This approach has several benefits: a common and easy-to-use user interface, off-the-self components, and lightweight implementation. We have not created any new technology, but our system makes use of widely used ones. The innovation of our system comes up on how all these technologies are glued together to get a light and flexible system. We present three prototypes: an interactive advertising catalogue, a video player and a slideshow viewer.
Study of precise positioning and antiswing for the varying rope length in 3D crane systems base on the combination of partial decoupling and fuzzy control

-Crane system is under-actuated nonlinear and coupling, and the rope length is variable in 3D movements. In view of these, a control method which can realize accurate localization and reduce swing is proposed. This method is based on partial nonlinear decoupled and fuzzy control. Simulation results show that this controller can make the maximum swing angle between 4deg-7deg and it can shorten the localization time. The presented controller can simplify complex mathematical calculations, improve the control accuracy and shorten the adjustment time. This method is of a good dynamic performance and robustness.
NADPH oxidase plays a central role in cone cell death in retinitis pigmentosa

Retinitis pigmentosa (RP) is a collection of diseases in which rod photoreceptors die from a variety of mutations. After rods die, the level of tissue oxygen in the outer retina becomes elevated and there is progressive oxidative damage to cones that ultimately triggers apoptosis. In this study, we investigated the hypothesis that NADPH oxidase (Nox) and/or xanthine oxidase serve as critical intermediaries between increased tissue oxygen and the generation of excessive reactive oxygen species that cause oxidative damage to cones. Apocynin, a blocker of Nox, but not allopurinol, a blocker of xanthine oxidase, markedly reduced the superoxide radicals visualized by hydroethidine in the outer retina in the retinal degeneration‐1 (rd1+/+) model of RP. Compared to rd1+/+ mice treated with vehicle, those treated with apocynin, but not those treated with allopurinol, had significantly less oxidative damage in the retina measured by ELISA for carbonyl adducts. Apocynin‐treated, but not allopurinol‐treated, rd1+/+ mice had preservation of cone cell density, increased mRNA levels for m‐ and s‐cone opsin, and increased mean photopic b‐wave amplitude. In Q344ter mice, a model of dominant RP in which mutant rhodopsin is expressed, apocynin treatment preserved photopic electroretinogram b‐wave amplitude compared to vehicle‐treated controls. These data indicate that Nox, but not xanthine oxidase, plays a critical role in generation of the oxidative stress that leads to cone cell death in RP and inhibition of Nox provides a new treatment strategy.
GATA1 insufficiencies in primary myelofibrosis and other hematopoietic disorders: consequences for therapy

ABSTRACT Introduction: GATA1, the founding member of a family of transcription factors, plays important roles in the development of hematopoietic cells of several lineages. Although loss of GATA1 has been known to impair hematopoiesis in animal models for nearly 25 years, the link between GATA1 defects and human blood diseases has only recently been realized. Areas covered: Here the current understanding of the functions of GATA1 in normal hematopoiesis and how it is altered in disease is reviewed. GATA1 is indispensable mainly for erythroid and megakaryocyte differentiation. In erythroid cells, GATA1 regulates early stages of differentiation, and its deficiency results in apoptosis. In megakaryocytes, GATA1 controls terminal maturation and its deficiency induces proliferation. GATA1 alterations are often found in diseases involving these two lineages, such as congenital erythroid and/or megakaryocyte deficiencies, including Diamond Blackfan Anemia (DBA), and acquired neoplasms, such as acute megakaryocytic leukemia (AMKL) and the myeloproliferative neoplasms (MPNs). Expert commentary: Since the first discovery of GATA1 mutations in AMKL, the number of diseases that are associated with impaired GATA1 function has increased to include DBA and MPNs. With respect to the latter, we are only just now appreciating the link between enhanced JAK/STAT signaling, GATA1 deficiency and disease pathogenesis.
Sexual selection can both increase and decrease extinction probability: reconciling demographic and evolutionary factors

Previous theoretical models of the effect of sexual selection on average individual fitness in a population have mostly predicted that sexually selected populations should adapt faster and clear deleterious mutations more quickly than populations where sexual selection is not operating. While some laboratory studies have supported these predictions, others have not and studies of field systems have tended to find negative effects of sexual selection, or no effect. The negative effects of sexual selection found in field and other studies are usually ascribed to the costs associated with strong sexual selection acting on the population. Here, using an individual-based model that allows feedback between demographic and evolutionary processes, we find that sexual selection can lead to both increases and decreases in population-level fitness measures such as extinction probability and adaptation rate. Whether fitness increases or decreases depends on a variety of environmental and demographic factors including the nature of environmental change, the carrying capacity of the environment, the average fecundity of the population in question and the strength of condition dependence. In many cases, our model predicts that sexual selection leads to higher extinction probability in small populations because of an increased risk of demographic stochasticity, but lower extinction probability in larger populations because of faster adaptation rates. This is consistent with field studies that have mostly focussed on very small populations such as recently introduced birds, and tend to find negative effects, and also with laboratory studies that tend to use larger populations and have tended to find positive effects. These findings go at least some way towards an understanding of the apparent contradictions between theoretical predictions, laboratory studies and field data.
Estratégia Distribuída para Análise de Assuntos Abordados no Twitter Via Evolução de Clusters

Recentes técnicas têm aplicado algoritmos de evolução de clusters para analisar transições de assuntos em redes sociais e apresentam-se eficazes no monitoramento destes. No entanto, a elevada taxa de produção de dados nas redes sociais cria a necessidade de processamento de uma quantidade de dados cada vez maior. Este trabalho propõe uma estratégia mais escalável para análise da evolução de assuntos em redes sociais, por meio do emprego de uma solução distribuída na etapa de clustering dos dados. Os experimentos foram realizados utilizando dados obtidos do Twitter e demonstram que a solução proposta é promissora, apresentando ganhos consideráveis de desempenho.
Inductance calculation for the curved rectangular coil

Wireless power transmission and charging technologies for smart devices, small robots and electric vehicles using the magnetic coupling have been available commercially [1]. And most of wireless charging pads sold in the markets have a planar shape. Therefore, 3-Dimensional wireless charging technology should be needed to improve the consumer product convenience. For 3D wireless charging, it is common to use multiple transmitting coils. And the shape of the transmitting coils is designed to conform to that of the transmitter system. In this case, the performances of the coils and the important design parameters determining the system efficiency can be varied with the shape. In this paper, the inductance calculation for a curved coil in 3D wireless charging is proposed and the comparison results with EM simulation is shown.
Novel user influence measurement based on user interaction in microblog

With the development of science and technology, various social networks have emerged in recent years and microblog is a prevailing one. This paper focuses on how to identify the most influential users quantitatively in microblog and proposes a new ranking method which employs the fact that a follower's contribution to the influences of his/her followees varies and depends greatly on the interactions between them. We consider bidirectional interactions from perspectives of followees and followers, and measure the interactive degree by four factors comprised of retweeting strength, commenting intensity, mentioning density and a special indicator to the potential interactions called keyword similarity. The experimental results show that our method based on user interaction is better in calculating the user influence.
StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow

Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical for many tasks including code retrieval and annotation. In most existing research, question-code pairs were collected heuristically and tend to have low quality. In this paper, we investigate a new problem of systematically mining question-code pairs from Stack Overflow (in contrast to heuristically collecting them). It is formulated as predicting whether or not a code snippet is a standalone solution to a question. We propose a novel Bi-View Hierarchical Neural Network which can capture both the programming content and the textual context of a code snippet (i.e., two views) to make a prediction. On two manually annotated datasets in Python and SQL domain, our framework substantially outperforms heuristic methods with at least 15% higher F1 and accuracy. Furthermore, we present StaQC (Stack Overflow Question-Code pairs), the largest dataset to date of ~148K Python and ~120K SQL question-code pairs, automatically mined from SO using our framework. Under various case studies, we demonstrate that StaQC can greatly help develop data-hungry models for associating natural language with programming language
A distributed fault detection observer-based approach for a network of multi-agent systems with switching topologies

This paper deals with the problem of distributed fault detection for a team of time-invariant multi-agent systems with switching topologies. Each single agent model is represented by a “virtual” model in the form of a continuous impulsive switched system. Distributed observers are designed with the LMI approach by using multiple Lyapunov functions, dwell time constraint and the H−/H∞ indexes. The proposed method detects the faults occurring on each agent (if any) and its neighbors (if any). Results of numerical simulations are provided to show the effectiveness of the approach.
Exfoliative Skin-peeling, Benefits from This Procedure and Our Experience

The peeling procedure is a valuable method for the aged skin, photo aging, acne scars and melasma. It should be performed by dermatologist. Pre peeling preparation of the skin is very important to prepare the skin for this procedure. It can be archived by applying the mask with acids twice a week. The caring of the skin after procedure is also very important for the success of the treatment. Same cases may have complication but managing them is also a challenge for dermatologist.