Miracle-dz/UniFAR-FTUs huggingface dataset:
Modular Multi-level Converter Control Method Based on CPS - PWM

The traditional voltage output of light DC transmission is mostly two-level or three-level. It is difficult to meet the high voltage and high power requirements of the power grid; MMC(Modular multi-level converter, MMC) becomes a hot spot in recent years because of modular structure, small harmonic content, easy to expand and so on. In this paper, according to the equivalent single-phase MMC topology and analyze the principle of MMC, using the voltage outer loop and current inner loop cooperate control strategy to control the capacitance of the sub-module and the system circulation by the carrier phase shift PWM modulation technique to modulate the power switch device. Finally verify the correctness of the control strategy by building the MMC model to simulation experiments through MATLAB/Simulink.
A Block-Based Multifeature Extraction Scheme for SAR Image Registration

In this letter, a block-based multifeature extraction scheme is proposed to register the synthetic aperture radar (SAR) images. With appropriate modifications, the scale-invariant feature transform (SIFT) and the SAR-SIFT operators are used to extract two types of features including texture points and corner points from the SAR images. The input images are divided into a certain number of blocks and the two types of features are extracted from each of the blocks for the uniform distribution of the features. A novel scheme is presented to obtain these features in the same proportion from the input images. The proposed method has the advantages of proper controllability of the number of extracted features and the uniform distribution of the features. A correct match identification by local searching algorithm is proposed to significantly increase the number of correct matches between the SAR images. Experiments on three pairs of multimodal and multitemporal SAR images demonstrate the effectiveness of the proposed method.
Multicentre, blinded, randomised clinical trial comparing the use of flunixin meglumine with firocoxib in horses with small intestinal strangulating obstruction

BACKGROUND Small intestinal strangulating obstruction (SISO) is associated with endotoxaemia which leads to an increased risk of death. Nonsteroidal anti-inflammatory drugs (NSAIDs) are used to treat signs of endotoxaemia by inhibiting cyclo-oxygenases (COX). COX-1 is expressed constitutively and promotes gut barrier function, whereas COX-2 is inducible and contributes to the signs of endotoxaemia. In preclinical SISO trials, intestinal barrier recovery was more complete with reductions in endotoxin permeability in horses treated with COX-2 selective NSAIDs as compared with horses treated with flunixin meglumine. OBJECTIVES We hypothesised that treatment of post-surgical SISO horses with firocoxib (COX-2 selective) would reduce the signs of endotoxaemia to a greater extent than flunixin meglumine (nonselective COX inhibitor) while continuing to provide similar levels of pain control. STUDY DESIGN Blinded randomised clinical trial. METHODS In addition to clinical monitoring, preoperative and 12-, 24- and 48-h post-operative plasma samples were assessed for prostaglandin E2 (PGE2 ), thromboxane B2 (TXB2 ), TNF⍺ and soluble CD14 (sCD14). RESULTS In 56 recruited SISO horses, either flunixin meglumine (1.1 mg/kg, i.v., q12h) or firocoxib (0.3 mg/kg, i.v. loading dose; 0.1 mg/kg, i.v., q24h) was given in the post-operative period in three university hospitals from 2015 to 2017. COX-2 selectivity was confirmed by a relative lack of inhibition of the COX-1 prostanoid TXB2 by firocoxib and significant inhibition by flunixin meglumine (P = 0.014). Both drugs inhibited the COX-2 prostanoid PGE2 . There were no significant differences in pain scores between groups (P = 0.2). However, there was a 3.23-fold increased risk (P = 0.04) of increased plasma sCD14 in horses treated with flunixin meglumine, a validated biomarker of equine endotoxaemia. MAIN LIMITATIONS Horses were all treated with flunixin meglumine prior to referral. In addition, many horses were treated with lidocaine, which has been shown to mitigate the deleterious effects of flunixin meglumine. CONCLUSIONS In SISO cases, firocoxib reduced a biomarker of endotoxaemia as compared with flunixin meglumine while continuing to provide similar levels of pain control.
Why are CSPs Based on Partition Schemes Computationally Hard?

Many computational problems arising in, for instance, artificial intelligence can be realized as infinite-domain constraint satisfaction problems (CSPs) based on partition schemes: a set of pairwise disjoint binary relations (containing the equality relation) whose union spans the underlying domain and which is closed under converse. We first consider partition schemes that contain a strict partial order and where the constraint language contains all unions of the basic relations; such CSPs are frequently occurring in e.g. temporal and spatial reasoning. We identify three properties of such orders which, when combined, are sufficient to establish NP-hardness of the CSP. This result explains, in a uniform way, many existing hardness results from the literature. More importantly, this result enables us to prove that CSPs of this kind are not solvable in subexponential time unless the exponential-time hypothesis (ETH) fails. We continue by studying constraint languages based on partition schemes but where relations are built using disjunctions instead of unions; such CSPs appear naturally when analysing first-order definable constraint languages. We prove that such CSPs are NP-hard even in very restricted settings and that they are not solvable in subexponential time under the randomised ETH. In certain cases, we can additionally show that they cannot be solved in O(c) time for any c ≥ 0. 2012 ACM Subject Classification Theory of computation → Computational complexity and cryptography
Adversaries monitoring Tor traffic crossing their jurisdictional border and reconstructing Tor circuits

We model and analyze passive adversaries that monitors Tor traffic crossing the border of a jurisdiction an adversary is controlling. We show that a single adversary is able to connect incoming and outgoing traffic of their border, tracking the traffic, and cooperating adversaries are able to reconstruct parts of the Tor network, revealing user-server relationships. In our analysis we created two algorithms to estimate the capabilities of the adversaries. The first generates Tor-like traffic and the second analyzes and reconstructs the simulated data.
Génération de scénario : planification avec un opérateur défini par un modèle graphique

Utiliser la planification pour generer des scenarios pre-sente de nombreux avantages tels que la variabilite, le controle et l'adaptation du scenario. Cependant, un scenario ne doit pas juste etre une sequence d'actions valide mais doit egalement satisfaire la coherence causale, c'est a dire que la sequence d'actions doit suivre une progression narrative logique et etre explicable (i.e. l'apprenant doit comprendre tout ce qui se passe). Dans cet article, nous proposons un nouvel operateur de planification permet-tant d'encapsuler des ensembles d'actions sous la forme de graphes. L'interet de cet operateur et de contextualiser les actions et ainsi faciliter la coherence causale des scenarios generes. Nous donnons un exemple de scenario genere et evaluons les performances de notre systeme sur un probleme des IPCs.
Streaming Kernel PCA with Õ(√n) Random Features

We study the statistical and computational aspects of kernel principal component analysis using random Fourier features and show that under mild assumptions, $O(\sqrt{n} \log n)$ features suffices to achieve $O(1/\epsilon^2)$ sample complexity. Furthermore, we give a memory efficient streaming algorithm based on classical Oja's algorithm that achieves this rate
Clinical impact of routine angiographic follow-up after percutaneous coronary interventions on unprotected left main.

BACKGROUND Patients undergoing percutaneous coronary intervention (PCI) with drug-eluting stent (DES) on unprotected left main (ULM) represent a complex subset. The role of routine coronary angiography at follow up in this subset remains debated. METHODS At the documented center, all patients undergoing successful PCI on ULM lesions performing angiographic follow-up is suggested, but adherence to such a recommendation is inhomogeneous. Consecutive patients undergoing DES PCI on ULM were enrolled and experienced no adverse events during the first 6 months. Patients were then allocated to two groups: those undergoing routine control angiography (CA) and those undergoing clinical follow-up (CF). Primary endpoint was major adverse cardiac events (MACE) defined as cardiac death, myocardial infarction and urgent repeat target vessel revascularization. RESULTS A total of 190 patients underwent successful DES implantation on ULM and the study population was without early events. CA was performed at 6 months after the index procedure in 91 (48%) patients. After 35 ± 21 months, MACE rates were significantly more common in the CF group as compared with the CA group (16.2% vs. 4.3%, p = 0.009). At multivariable analysis, CA was associated with reduced MACE risk (HR 0.13, 95% CI 0.1-0.7, p = 0.028). Of note, this was mainly driven by higher cardiac death rate in those undergoing CF than in those undergoing CA (p = 0.01). CONCLUSIONS CA after complex PCI, such as ULM PCI, is associated with reduced MACE. Such an observation calls for appropriately designed randomized trials.
Knowledge-Aided 2-D Autofocus for Spotlight SAR Range Migration Algorithm Imagery

With continuous improvement of the synthetic aperture radar (SAR) resolution, the 2-D defocus effect in SAR image resulting from uncompensated motion error has made autofocus become a new challenging problem. Conventional 2-D autofocus approaches assume that the 2-D phase error is absolutely unknown and estimate them directly. Due to high dimensionality of the unknown parameters, these approaches often suffer from high computational burden and low estimate accuracy. In this paper, we analyze the effect of range migration algorithm (RMA) processing on the 2-D echo phase, and reveal the analytical structure of the residual 2-D phase error in RMA imagery. Then, by exploiting the derived prior knowledge on the phase error structure, an accurate and efficient 2-D autofocus approach is proposed. In the new method, only 1-D error, e.g., azimuth phase error, or residual range cell migration, is required to be estimated directly, while the 2-D phase error is computed directly from the estimated 1-D error by exploiting the analytical structure of the 2-D phase error. The experimental results clearly demonstrate the effectiveness and robustness of the proposed method.
Characteristics and Outcomes of Young Children Hospitalized with Laboratory-Confirmed Influenza or Respiratory Syncytial Virus in Ontario, Canada, 2009-2014.

BACKGROUND Respiratory illnesses are a major contributor to pediatric hospitalizations, with influenza and respiratory syncytial virus (RSV) causing substantial morbidity and cost each season. We compared the characteristics and outcomes of children 0-59 months of age who were hospitalized with laboratory-confirmed influenza or RSV between 2009 and 2014 in Ontario, Canada. METHODS We included hospitalized children who were tested for influenza A, influenza B, and RSV, and were positive for a single virus. We characterized individuals by their demographics and healthcare utilization patterns, and compared their hospital outcomes, in-hospital cost, and post-discharge healthcare use by virus type and by presence of underlying comorbidities. RESULTS We identified and analyzed 7,659 hospitalizations during which a specimen tested positive for influenza or RSV. Children with RSV were the youngest whereas children with influenza B were the oldest (median ages 6 months [interquartile range {IQR}: 2-17 months] and 25 months [IQR: 10-45 months], respectively). Complex chronic conditions were more prevalent among children with all influenza (sub)types than RSV (31%-34% vs 20%). In-hospital outcomes were similar by virus type, but in children with comorbidities, post-discharge outcomes varied. We observed no differences in in-hospital cost between viruses or by presence of comorbidities (overall median cost: $4,150 CAD [IQR: $3,710-$4,948]). CONCLUSION Influenza and RSV account for large numbers of pediatric hospitalizations. RSV and influenza were similar in terms of severity and cost in hospitalized children. Influenza vaccination should be promoted in pregnant women and young children, and a vaccine against RSV would mitigate the high burden of RSV.
Ters Yüz Filmi Kapsamında Duyguların ve Beynin İşleyişinin İncelenmesi

Ters Yuz (Inside Out; Docter ve del Carmen, 2015) ailesiyle birlikte yeni bir sehre tasinmalarinin ardindan degisen yasantisina uyum saglamaya calisan Riley’nin ve beyninde yer alan duygularinin baslarindan gecen maceralari anlatan bir animasyon filmidir. Bu filmde temel olarak Riley’nin beyninin kumanda merkezinde yer alan bes temel duygu (Nese, Uzuntu, Ofke, Tiksinti ve Korku) uzerinden bireylerin sahip oldugu her duygunun onemi ve hayatlarinda oynadigi ozgun rol ele alinmaktadir. Film, Riley’nin Cekirdek Anilarini kurtarmak icin beyninde bir maceraya giren Nese ve Uzuntu ile birlikte bir insanin beyninin isleyisini izleyicinin karsisina getirirken; ayni zamanda Riley’nin gunluk hayatini Nese ve Uzuntu olmadan surdurmeye calismasini ve kisiligin ergenligin baslangiciyla birlikte daha karmasik bir yapi kazanmasini da izleyicilere sunmaktadir. Bu film analizinde Ters Yuz filmi kapsaminda duygularin ve beynin isleyisinin nasil aktarildiginin aciklanmasi ve bu kapsamda filmdeki kullanimlarin psikoloji biliminin bulgulari ile nasil desteklendiginin ele alinmasi planlanmistir. Bu incelemenin klinik psikologlara bu filmin terapi surecinde nasil kullanilabilecegine iliskin bir bakis acisi sunmasi hedeflenmektedir.
Effects of modified constraint-induced movement therapy on upper extremity function and occupational performance of stroke patients

[Purpose] The purpose of this research was to examine the effectiveness of modified constraint-induced movement therapy (mCIMT) on the upper extremity function and occupational performance of stroke patients. [Participants and Methods] An experimental study was carried out on two groups of 7 participants selected by a specific criterion. The experimental group received the mCIMT as well as the conventional rehabilitation therapy (CRT) for 5 days per week over a 2 week period. The control group received only the CRT. Outcome measures included the Manual Function Test (MFT), Motor Activity Log (MAL), and Canadian Occupational Performance Measure (COPM). [Results] Average amount of changes in the MAL and COPM is different in statistical analysis between the mCIMT and the CRT groups before and after the intervention. The mCIMT group showed significant improvements on MFT, MAL, and COPM before and after the intervention. [Conclusion] We suggest that the mCIMT improves the upper extremity function and occupational performance of stroke patients better than the CRT alone.
LncRNA‐RMRP promotes nucleus pulposus cell proliferation through regulating miR‐206 expression

Long noncoding RNAs (LncRNAs) are involved in the pathogenesis of intervertebral disc degeneration (IDD). However, the biological function and expression of RMRP were still unclear. In our study, we showed that RMRP expression was up‐regulated in degenerated NP tissues compared to normal NP samples, and higher RMRP expression was associated with the disc degeneration grade. Further studies indicated that ectopic expression of RMRP enhanced NP cell growth and also enhanced the expression of ki‐67, PCNA and cyclin D1 in the NP cell. Moreover, overexpression of RMRP promoted the expression of Type II collagen and aggrecan and suppressed the expression of MMP13 and ADAMTS4. In addition, we found that the expression of miR‐206 was down‐regulated in degenerated NP tissues compared to normal NP samples, and lower miR‐206 expression was correlated with the disc degeneration grade. Interestingly, we indicated that miR‐206 expression in NP tissues was negatively correlated with the expression of RMRP. Ectopic expression of miR‐206 suppressed NP cell proliferation and suppressed the expression of Type II collagen and aggrecan and enhanced the expression of MMP13 and ADAMTS4. Furthermore, we demonstrated that overexpression of RMRP increased NP cell growth and regulated ECM expression through targeting miR‐206. These results suggested that lncRNA‐RMRP promoted the progression of IDD through targeting miR‐206, providing an attractive new therapeutic approach for the treatment of IDD disease.
Stereo 3D Object Trajectory Reconstruction

We present a method to reconstruct the three-dimensional trajectory of a moving instance of a known object category using stereo video data. We track the two-dimensional shape of objects on pixel level exploiting instance-aware semantic segmentation techniques and optical flow cues. We apply Structure from Motion (SfM) techniques to object and background images to determine for each frame initial camera poses relative to object instances and background structures. We refine the initial SfM results by integrating stereo camera constraints exploiting factor graphs. We compute the object trajectory by combining object and background camera pose information. In contrast to stereo matching methods, our approach leverages temporal adjacent views for object point triangulation. As opposed to monocular trajectory reconstruction approaches, our method shows no degenerated cases. We evaluate our approach using publicly available video data of vehicles in urban scenes.
Implementing a Signing Forms Mechanism in an Open XMPP Server to Reduce Successful Network Attacks

Servers implementing the eXtensible Messaging and Presence Protocol (XMPP) enable the near-real-time exchange of structured yet extensible data between any two or more network entities. In this paper we propose to address network attacks, a security issue, by implementing signing forms over an in-band registration mechanism. We validate our proposal implementing this mechanism over OpenFire , which is a free, community-supported and open source XMPP server. Our experiments showed that the number of successful attacks was reduced to 0 when our proposal is implemented.
DeepCache: Principled Cache for Mobile Deep Vision

We present DeepCache, a principled cache design for deep learning inference in continuous mobile vision. DeepCache benefits model execution efficiency by exploiting temporal locality in input video streams. It addresses a key challenge raised by mobile vision: the cache must operate under video scene variation, while trading off among cacheability, overhead, and loss in model accuracy. At the input of a model, DeepCache discovers video temporal locality by exploiting the video's internal structure, for which it borrows proven heuristics from video compression; into the model, DeepCache propagates regions of reusable results by exploiting the model's internal structure. Notably, DeepCache eschews applying video heuristics to model internals which are not pixels but high-dimensional, difficult-to-interpret data. Our implementation of DeepCache works with unmodified deep learning models, requires zero developer's manual effort, and is therefore immediately deployable on off-the-shelf mobile devices. Our experiments show that DeepCache saves inference execution time by 18% on average and up to 47%. DeepCache reduces system energy consumption by 20% on average.
Women Diagnosed with Endometriosis Show High Serum Levels of Diethyl Hexyl Phthalate

Background: Endometriosis is one of the common causes of infertility with very diverse etiology. In modern lifestyle, humans are exposed to several endocrine-disrupting chemicals (EDCs) which may lead to reproductive disturbances. Diethyl hexyl phthalate (DEHP) is one of the common EDCs to which women are exposed by the use of cosmetics, perfumes, food packaging, medicine, and insecticides. Aim: The aim of this study was to measure the levels of DEHP in women diagnosed with endometriosis and healthy females and to compare these levels among different stages of endometriosis. Setting and Design: This descriptive study was conducted at a tertiary care hospital. Subjects and Methods: This study comprised of fifty women diagnosed with endometriosis, aged 20–40 years, and fifty age-matched healthy, fertile women without endometriosis. Females on any medication/comorbid conditions were excluded from the study. Serum DEHP concentrations were measured by high-performance liquid chromatography (HPLC). The results were expressed as means ± standard deviation (SD) (ng/ml of DEHP). Statistical Analysis: Data were analyzed using IBM-SPSS version 20. Two-sample Student's t-test and one-way ANOVA were applied for the analysis. Results: The mean ± SD value of DEHP in cases was 65.29 ± 21.69 ng/ml; however, the mean ± SD value of DEHP in controls was undetectable. Comparison of DEHP among stages of endometriosis revealed an increasing trend with advanced stages (III and IV). The values were not different between the two age groups of women with endometriosis (20–30 and 31–40 years). Conclusion: High levels of DEHP in women diagnosed with endometriosis suggest a role of phthalates in the etiology of endometriosis and permit careful use of such compounds.
A Deep Face Recognition Method Based on Model Fine-tuning and Principal Component Analysis

In this paper, we propose a simple and effective deep face recognition method based on model fine-tuning and principal component analysis. At first, we use our own face dataset to fine tune the improved VGG-Face model. This can effectively solve the problem that the training dataset is too small and the data distribution is different. Through the part of the existing model parameters as the initial parameters of the new model, greatly accelerated the convergence rate of the model training. Then, for the facial features extracted by the deep learning method, we use principal component analysis to further remove redundant features, reduce the complexity of the features, and improve the face recognition rate. The experimental results prove that the proposed approach achieves a good face recognition accuracy on our test dataset.
Motion Mapping for the Heterogeneous Master-Slave Teleoperation Robot using Unit Dual Quaternions

Heterogeneous master-slave robots are widely used as both assistive robot system for the elder/disabled people and teleoperation robot system for dangerous environments, and in these applications the orientation of the links of the slave robot is critical for the convenient and intuitive teleoperation. This paper studies the motion mapping from a human master arm to a heterogeneous slave robot arm UR5 for tele-manipulation using unit dual quaternions (UDQ). Firstly, we analogy the links of the slave robot to the links of the human master arm, and accordingly group the slave arm joints into “shoulder”, “elbow” and “wrist” joint set; Then, we capture the motion (orientations) of the human master arm via a wearable motion capture system; Finally, we compute the motion of the corresponding joint-set of the heterogeneous slave robotic arm via UDQ based inverse kinematics. As a result, the operator can tele-operate the heterogeneous robot system intuitively and conveniently, and the fatigue degree and error rate of the user can be significantly reduced, and thus the safety of teleoperation in an unstructured and constrained environment can be significantly improved.