Miracle-dz/UniFAR-FTUs huggingface dataset:
DVDNET: A Fast Network for Deep Video Denoising

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoising have been unsuccessful as their performance cannot compete with the performance of patch-based methods. However, our approach outperforms other patch-based competitors with significantly lower computing times. In contrast to other existing neural network denoisers, our algorithm exhibits several desirable properties such as a small memory footprint, and the ability to handle a wide range of noise levels with a single network model. The combination between its denoising performance and lower computational load makes this algorithm attractive for practical denoising applications. We compare our method with different state-of-art algorithms, both visually and with respect to objective quality metrics. The experiments show that our algorithm compares favorably to other state-of-art methods. Video examples, code and models are publicly available at https://github.com/m-tassano/dvdnet.
Deep Sketch-Based Modeling of Man-Made Shapes

Sketch-based modeling aims to model 3D geometry using a concise and easy to create---but extremely ambiguous---input: artist sketches. Most conventional sketch-based modeling systems target smooth shapes and, to counter the ambiguity, put manually-designed priors on the 3D shape; they also typically require clean, vectorized input. Recent approaches attempt to learn those priors from data but often produce low-quality output. Focusing on piecewise-smooth man-made shapes, we address these issues by presenting a deep learning-based system to infer a complete man-made 3D shape from a single bitmap sketch. Given a sketch, our system infers a set of parametric surfaces that realize the drawing in 3D. To capture the piecewise smooth geometry of man-made shapes, we learn a special shape representation---a deformable parametric template composed of Coons patches. Naively training such a system, however, would suffer from lack of data and from self-intersections of the parametric surfaces. To address this, we introduce a synthetic sketch augmentation pipeline as well as a loss function that biases the network to output non-self-intersecting shapes. We demonstrate the efficacy of our system on a gallery of synthetic and real artist sketches as well as via comparison to related work.
Population synthesis of black hole binary mergers from star clusters

Black hole (BH) binary mergers formed through dynamical interactions in dense star clusters are believed to be one of the main sources of gravitational waves (GWs) for Advanced LIGO and Virgo. Here, we present a fast numerical method for simulating the evolution of star clusters with BHs, including a model for the dynamical formation and merger of BH binaries. Our method is based on Hénon’s principle of balanced evolution, according to which the flow of energy within a cluster must be balanced by the energy production inside its core. Because the heat production in the core is powered by the BHs, one can then link the evolution of the cluster to the evolution of its BH population. This allows us to construct evolutionary tracks of the cluster properties including its BH population and its effect on the cluster and, at the same time, determine the merger rate of BH binaries as well as their eccentricity distributions. The model is publicly available and includes the effects of a BH mass spectrum, mass-loss due to stellar evolution, the ejection of BHs due to natal and dynamical kicks, and relativistic corrections during binary–single encounters. We validate our method using direct N-body simulations, and find it to be in excellent agreement with results from recent Monte Carlo models of globular clusters. This establishes our new method as a robust tool for the study of BH dynamics in star clusters and the modelling of GW sources produced in these systems. Finally, we compute the rate and eccentricity distributions of merging BH binaries for a wide range of cluster initial conditions, spanning more than two orders of magnitude in mass and radius.
The X-ray coronae of two massive galaxies in the core of the perseus cluster

We study the X-ray properties of two elliptical galaxies, NGC 1270 and NGC 1272, in the core of the Perseus cluster with deep Chandra observations. Both galaxies have central supermassive black holes, the mass of which is 6.0 × 109 and 2.0 × 109 $\rm{M}_\odot$, respectively. Our aim is to examine relatively cool soft X-ray-emitting gas within the central region of these massive early-type galaxies. Such gas, referred to as a Minicorona in previous studies is common in the core of large elliptical cluster galaxies. It has not been completely stripped or evaporated by the surrounding hot intracluster medium and nor fully accreted on to the central black hole. With thermal emission from the minicorona dominating over any power-law radiation components, we find that both NGC 1270 and NGC 1272 encompass minicoronae, the temperature and radius of which are 0.99 and 0.63 keV; 1.4 and 1.2 kpc, respectively. For NGC 1272, the thermal coronal component dominates the core emission by a factor of over 10. We show that the depletion time-scale of minicoronal gas via viscous stripping is shorter by a factor of 100 than the replenishment time-scale due to stellar mass-loss. Magnetic fields are presumably responsible for suppression of the transport processes. Finally, we show that both objects have to meet a balance between cooling and heating as well as that among mass replenishment, stripping, and accretion.
A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT

On the Internet of Things (IoT), devices continuously communicate with each other, with a gateway, or other Internet nodes. Often devices are constrained and use insecure channels for their communication, which exposes them to a selection of attacks that may extract sensitive pieces of information or manipulate dialogues for the purpose of sabotaging. This paper presents a new layer in the RIOT networking architecture to seamlessly integrate secure communication between applications using DTLS. The layer acts as a modular abstraction layer of the different DTLS implementations, enabling swapping of the underlying implementation with just a few lines of code. This paper also introduces credman, a new module to manage credentials used for (D)TLS connections.
A New Fast Approach for an EEG-based Motor Imagery BCI Classification

Nowadays, Brain Computer Interface has an important role in the life quality of paralyzed people. However, this technique is mainly affected by the quality of the recorded signal in each trial. This problem could be solved by rejecting low-quality trials. But developing the processing based on the recorded signal from the brain, which is a mixture of the target signal plus noise and artifact, would not be favourable in situations that all trials have low quality. This paper solves this problem by presenting a new fast algorithm for separating recorded source signals. Results indicate the improvement in classification accuracy of the proposed method compared with the well-known state of the art works.
Near-infrared imaging polarimetry toward M 17 SWex

We conducted near-infrared ($\mathit {JHK}_{\rm s}$) imaging polarimetry toward the infrared dark cloud (IRDC) M 17 SWex, including almost all of the IRDC filaments as well as its outskirts, with the polarimeter SIRPOL on the IRSF 1.4 m telescope. We revealed the magnetic fields of M 17 SWex with our polarization-detected sources that were selected by some criteria based on their near-IR colors and the column densities toward them, which were derived from the Herschel data. The selected sources indicate not only that the ordered magnetic field is perpendicular to the cloud elongation as a whole, but also that at both ends of the elongated cloud the magnetic field appears to be bent toward its central part, i.e., a large-scale hourglass-shaped magnetic field perpendicular to the cloud elongation. In addition to this general trend, the elongations of the filamentary subregions within the dense parts of the cloud appear to be mostly perpendicular to their local magnetic fields, while the magnetic fields of the outskirts appear to follow the thin filaments that protrude from the dense parts. The magnetic strengths were estimated to be ∼70–$300\, \mu$G in the subregions, of which the lengths and average number densities are ∼3–9 pc and ∼2–7 × 103 cm−3, respectively, by the Davis–Chandrasekhar–Fermi method with the angular dispersion of our polarization data and the velocity dispersion derived from the C18O (J = 1–0) data obtained by the Nobeyama 45 m telescope. These field configurations and our magnetic stability analysis of the subregions imply that the magnetic field has controlled the formation/evolution of the M 17 SWex cloud.
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning

We tune one of the most common heating, ventilation, and air conditioning (HVAC) control loops, namely the temperature control of a room. For economical and environmental reasons, it is of prime importance to optimize the performance of this system. Buildings account from 20 to 40 % of a country energy consumption, and almost 50 % of it comes from HVAC systems. Scenario projections predict a 30 % decrease in heating consumption by 2050 due to efficiency increase. Advanced control techniques can improve performance; however, the proportional-integral-derivative (PID) control is typically used due to its simplicity and overall performance. We use Safe Contextual Bayesian Optimization to optimize the PID parameters without human intervention. We reduce costs by 32 % compared to the current PID controller setting while assuring safety and comfort to people in the room. The results of this work have an immediate impact on the room control loop performances and its related commissioning costs. Furthermore, this successful attempt paves the way for further use at different levels of HVAC systems, with promising energy, operational, and commissioning costs savings, and it is a practical demonstration of the positive effects that Artificial Intelligence can have on environmental sustainability.
Throughput Scaling of Covert Communication over Wireless Adhoc Networks

We study the throughput scaling law of covert communication over wireless adhoc networks where (roughly) n legitimate nodes (LNs) and nκ for 0 < κ < 1 warden nodes (WNs) are randomly distributed in a unit area. Each legitimate source wants to communicate with its destination while ensuring that each WN is unable to detect the presence of communication. A preservation region, where the transmission of the LNs is not permitted, is introduced around each WN to increase the transmit power of the LNs outside the preservation regions. For achievability, multi-hop (MH), hierarchical cooperation (HC), and hybrid HC-MH schemes in the literature are utilized with some modifications. In the MH and the hybrid schemes, because the preservation regions may block the direct data paths, a detouring method that distributes the detours evenly over a wide region is proposed to avoid the concentration of relaying burdens. In the HC scheme, we properly control the symbol power and the MIMO transmission scheduling. We also present matching upper bounds on the throughput scaling under an assumption that every active LN consumes a same average transmit power over the time period that the WNs observe.
AssociationsWith Eicosapentaenoic Acid to Arachidonic Acid Ratio and Mortality in Hospitalized Heart Failure Patients

Background: Intake of n-3 polyunsaturated fatty acids (n-3 PUFAs) lowers the risk of atherosclerotic cardiovascular events, particularly ischemic heart disease. In addition, the ratio of eicosapentaenoic acid (EPA; n-3 PUFA) to arachidonic acid (AA; n-6 PUFA) has recently been recognized as a risk marker of cardiovascular disease. In contrast, the prognostic impact of the EPA/AAratio on patients with heart failure (HF) remains unclear. Methods and Results: A total of 577 consecutive patients admitted for HF were divided into 2 groups based on median of the EPA/AA ratio: low EPA/AA (EPA/AA <0.32 mg/dl, n = 291) and high EPA/AA (EPA/AA ≥0.32, n = 286) groups. We compared laboratory data and echocardiographic findings and followed cardiac mortality. Although body mass index, blood pressure, B-type natriuretic peptide, hemoglobin, estimated glomerular filtration rate, total protein, albumin, sodium, C-reactive protein, and left ventricular ejection fraction did not differ between the 2 groups, cardiac mortality was significantly higher in the low EPA/AA group than in the high EPA/AA group (12.7 vs 5.9%, log-rank P = .004). Multivariate Cox proportional hazard analysis revealed that the EPA/AA ratio was an independent predictor of cardiac mortality (hazard ratio 0.677, 95% confidence interval 0.453–0.983, P = .041) in patients with HF. Conclusion: The EPA/AA ratio was an independent predictor of cardiac mortality in patients with HF; therefore, the prognosis of patients with HF may be improved by taking appropriate management to control the EPA/AA balance. (J Cardiac Fail 2016;22:962–969)
Distributed Throughput Maximization in Wireless Networks via Random Power Allocation

We develop a distributed throughput-optimal power allocation algorithm in wireless networks. The study of this problem has been limited due to the nonconvexity of the underlying optimization problems that prohibits an efficient solution even in a centralized setting. By generalizing the randomization framework originally proposed for input queued switches to SINR rate-based interference model, we characterize the throughput-optimality conditions that enable efficient and distributed implementation. Using gossiping algorithm, we develop a distributed power allocation algorithm that satisfies the optimality conditions, thereby achieving (nearly) 100 percent throughput. We illustrate the performance of our power allocation solution through numerical simulation.
HISTOMORPHOLOGICAL AND IMMUNEHISTOCHEMICAL STUDY OF POSTNATAL DEVELOPMENT OF THYMUS IN TURKEY ( Meleagris Gallopavo )

Fourty normal turkeys divided into four age groups(1week,1month,2months and 7months) were included. The thymus gland were collected and prepared for histological and immunohistochemical studies. Anatomically thymus gland in turkey has (4-5) thymic lobes in left side and (5) in the right, extended from the level of 7 cervical vertebra to the level of the thoracic inlet. Results of present study appeared thymus at one week as a mass of lobes in adipose tissue and gradually developed to be two chains of lobes on both sides of the neck, the parenchyma is undistinguished to cortex and medulla, no Hassall's corpuscles were noticed. At one month there are clear lobulation by fine septae, parenchyma is differentiated into cortex and medulla. Hassall's corpuscles were appeared. At two months there are very clear lobulation , well-developed septae and Hassall's corpuscles were more aqurence, and presence of erythrocytes. The histological architecture of 7 months old is similar to that of two months but the Hassall's corpuscles were more obvious. The immunhistochemical examination by using antibody (CD268) revealed presence of B lymphocytes within the parenchyma of thymus at one month, two months and seven months turkey. The current study concluded that the thymus well developed at one month and had a role in humeral immunity. Basrah Journal of Veterinary Research,Vol.17, No.3,2018 Proceeding of 6th International Scientific Conference,College of Veterinary Medicine University of Basrah,Iraq
An Investigation into Happiness , Dynamics and Adaptation 1

This investigation discusses and employs dynamic panel analysis to provide new insights into the concept of happiness, and particularly its dynamics. Arguments are advanced for its use both in terms of the advantages such analysis offers, and also because it takes into account dynamics omitted by more standard panel data estimation methods like fixed effects. Using the British Household Panel Survey, it is demonstrated that happiness is largely (but not wholly) contemporaneous. This helps to provide explanations for previous findings, inform the adaptation discussion, and generate new understanding regarding wellbeing. An event – no matter when entered into must have a contemporaneous impact on either the life of an individual or an individual’s perception of their life (or both) for it to be reflected in self-reported life satisfaction scores. Similarly, this contemporaneous finding also explains other results in the literature about the well-being legacy of events.
Analysis of field-induced transmembrane potential responses of single cardiac cells in terms of active and passive components

Field-induced transmembrane potential (V/sub m/) responses of cardiac cells have complex spatiotemporal variation. We show that these responses can be decomposed into simpler components that facilitate their understanding. Enzymatically isolated guinea pig cardiac cells were stained with /spl sim/50 /spl mu/M voltage sensitive dye di-8-ANEPPS, and stimulated along their longitudinal axes using a pair of S1 (5 ms) and S2 (10 ms) uniform field pulses (S1-S2=20 ms). The V/sub m/ responses recorded using a multisite optical mapping system were decomposed into a differential-mode component V/sub md/ and a common mode component (V/sub mc/). The V/sub md/ varies linearly along the cell length, and describes the passive component of the field responses. The V/sub mc/ is uniform along the cell length, and describes the active component. The V/sub mc/ arises from an imbalance in membrane currents along the cell length, and is depolarizing at rest and hyperpolarizing during the plateau. It has been shown previously that a model cell with dynamic Luo-Rudy) membrane currents fails to reproduce the hyperpolarizing V/sub m/ responses during the plateau, and a hypothetical outwardly rectifying current I/sub a/ has been proposed to resolve the discrepancy. However, the true ion channel basis of I/sub a/ has not been resolved. Using pharmacological interventions we dissect the membrane currents involved during the plateau responses, and suggest that the sustained plateau current (I/sub kp/) is most likely the ion channel correlate of I/sub a/.
Enhancing Meetings: The Impact of Leader Behavior.

This research examined the effects of meeting leader behavior on organizational meetings. Two studies investigated whether leader behavior that satisfies the psychological needs of meeting attendees, leads to higher levels of meeting productivity and satisfaction. Study 1 used correlational methods, with regressionbased mediation analysis, to assess whether satisfaction of attendee needs mediated the association between leader behavior and attendee ratings of actual meetings in a sample of 110 employees. Study 2 involved an analogue experiment with 158 employees to test the effects of leader behavior on ratings of hypothetical meeting scenarios. The studies provide correlational and experimental evidence for the positive impact of needs-focused behaviors, offering organizational leaders practical solutions for improving meetings.
The effect of initial trust on user adoption of mobile payment

Due to the high perceived risk and low switching cost, it is critical to building users' initial trust in mobile payment in order to facilitate their adoption and usage. The purpose of this research is to examine the effect of initial trust on user adoption of mobile payment. We conducted data analysis with structural equation modeling. The results indicated that perceived security, perceived ubiquity and perceived ease of use have significant effects on initial trust, which in turn determines perceived usefulness and usage intention. We also found that perceived cost is a significant determinant of usage intention.
Title Clinical significance of hepatocyte growth factor/c-Met expression in the assessment of gastric cancer progression

Among the mechanisms that control cancer progression, cell mobility is a significant factor required for cellular liberation from the primary focus and infiltration. Hepatocyte growth factor (HGF) has been shown to facilitate cell mobility. In the present study, the clinical significance of the HGF/c-Met pathway in the assessment of gastric cancer progression was evaluated. From a cohort of patients with gastric cancer who underwent surgical resection between April 1999 and March 2003, 110 subjects were randomly selected. Preoperative serum HGF levels were measured and various pathological factors were analyzed. Furthermore, 50 subjects were randomly selected from within this group and immunohistochemical staining of tissue preparations for HGF and its receptor c‐Met were performed. In the infiltrative growth pattern [(INF)α,β vs. INFγ], advanced progression was associated with elevated preoperative serum HGF levels (P<0.001). No correlation was identified between serum HGF levels and immunostaining for HGF or c‐Met in the tissue preparations. Immunostaining revealed a significant correlation between c‐Met expression and lymphatic vessel invasion (ly0.1 vs. 2.3; P=0.0416), lymph node metastasis (n0.1 vs. 2; P=0.0184) and maximum tumor diameter (≤50 mm vs. >50 mm; P=0.0469). Furthermore, c‐Met‐positivity was associated with a significant difference in overall survival (P=0.0342), despite stage I and II cases accounting for 82% of the total cohort (41 of 50 cases). These results suggested that the expression of the HGF/c-Met pathway in gastric cancer may be a potential predictive factor for disease progression.
G R ] 2 6 M ay 2 01 9 Automaticity for graphs of groups

In this article we construct asynchronous and sometimes synchronous automatic structures for amalgamated products and HNN extensions of groups that are strongly asynchronously (or synchronously) coset automatic with respect to the associated automatic subgroups, subject to further geometric conditions. These results are proved in the general context of fundamental groups of graphs of groups. The hypotheses of our closure results are satisfied in a variety of examples such as Artin groups of sufficiently large type, Coxeter groups, virtually abelian groups, and groups that are hyperbolic relative to virtually abelian subgroups. 2010 Mathematics Subject Classification: 20F65, 20F10, 20E06, 20F36