Miracle-dz/UniFAR-FTUs huggingface dataset:
Brief Announcement: Applications of Uniform Sampling: Densest Subgraph and Beyond

In this paper we provide a framework to analyze the effect of uniform sampling on graph optimization problems. Interestingly, we apply this framework to a general class of graph optimization problems that we call heavy subgraph problems, and show that uniform sampling preserves a 1-ε approximate solution to these problems. This class contains many interesting problems such as densest subgraph, directed densest subgraph, densest bipartite subgraph, d-max cut, and d-sum-max clustering. As an immediate impact of this result, one can use uniform sampling to solve these problems in streaming, turnstile or Map-Reduce settings. Indeed, our results by characterizing heavy subgraph problems address Open Problem 13 at the IITK Workshop on Algorithms for Data Streams in 2006 regarding the effects of subsampling, in the context of graph streams. Recently Bhattacharya et al. in STOC 2015 provide the first one pass algorithm for the densest subgraph problem in the streaming model with additions and deletions to its edges, i.e., for dynamic graph streams. They present a (0.5-ε)-approximation algorithm using ~O(n) space, where factors of ε and log(n) are suppressed in the ~O notation. In this paper we improve the (0.5-ε)-approximation algorithm of Bhattacharya et al. by providing a (1-ε)-approximation algorithm using ~O(n) space.
Tenoscopic anatomy of the equine carpal flexor synovial sheath.

OBJECTIVE To describe the tenoscopic anatomy of the carpal sheath of the flexor tendons (carpal sheath) viewed from a lateral approach. STUDY DESIGN Tenoscopic observation of structures within the carpal sheath subsequently confirmed by dissection. ANIMALS OR SAMPLE POPULATION 12 equine cadaveric forelimbs. METHODS The limbs were positioned lateral side up with the carpus slightly flexed. After distention of the carpal sheath, a portal for the arthroscope was made approximately 3 cm proximal to the distal radial physis and 2.5 cm caudal to the radius between the tendons of the ulnaris lateralis and lateral digital extensor muscles. RESULTS A lateral tenoscopic approach was adequate to identify all structures within the carpal sheath. From proximal to distal, structures identified using this approach were the radial head of the deep digital flexor muscle, accessory ligament of the tendon of the superficial digital flexor muscle, distal radial physis, tendons of the superficial and deep digital flexor muscles, accessory carpal bone, antebrachiocarpal and middle carpal joints, and vincula of the tendon of the deep digital flexor muscle. CONCLUSIONS A lateral tenoscopic approach offered an easy, repeatable entry into the carpal sheath and allowed good observation of all structures within the sheath except for the medial borders of the tendons of the deep and superficial digital flexor muscles. CLINICAL RELEVANCE Applications of a lateral tenoscopic approach to the carpal sheath include diagnostic procedures, lavage and synovial resection for septic tenosynovitis, desmotomy of the accessory ligament of the tendon of the superficial digital flexor muscle for flexural deformity or tendinitis, and removal of osteochondromas from the distal radial metaphysis.
Transmission of bovine herpesvirus 1 within and between herds on an island with a BHV1 control programme

Transmission of bovine herpesvirus 1 (BHV1) within and between herds was studied on the island of Ameland, The Netherlands. There were 50 herds with 3300 head of cattle on the island. Herds were divided into three groups: (1) only containing seronegative cattle, (2) containing seronegative cattle and vaccinated seropositive cattle, and (3) containing only vaccinated cattle. All 23 herds in groups 1 and 2 were monitored. Three major outbreaks of BHV1 infections were observed due to the introduction of infectious cattle. Another major outbreak was most likely induced by reactivation of latent BHV1 in seropositive cattle. The basic reproduction ratio within these herds was estimated at least 4. Only one of these outbreaks led to three secondary outbreaks in susceptible herds in which all cattle were seronegative. These outbreaks were most likely due to respectively, direct animal contact, human transmission, and aerogenic transmission. The basic reproduction ratio between herds in this study was estimated to be 0·6.
Online Topic Modeling for Real-Time Twitter Search

This paper discusses the work done by a team at the University of Florida for the TREC 2011 Microblog Track. To build a real-time microblog search engine we rely on topic modeling for our search. To facilicate our algorithms we bundle similar tweets together in what we call supertweet generation. We perform online inference and oine inference depending on the time frame of the topical query. In this paper we discuss our techniques, challenges, future work, but not the evaluation of our results. We oer this notebook entry to invite future discussion and collaboration.
Morphine-induced ocular hypotension is modulated by nitric oxide and carbon monoxide: role of mu3 receptors.

PURPOSE Recent findings generated from our laboratory have demonstrated the involvement of nitric oxide (NO) in morphine-induced reduction of intraocular pressure (IOP). The present study was designed to investigate the possible involvement of carbon monoxide (CO) in morphine-induced reduction of IOP and the role of mu(3) opioid receptors. METHODS New Zealand rabbits were used in this study. They were pretreated with the nitric oxide synthase inhibitor Nomega-nitro-L-arginine methyl ester (L-NAME, 1%, 30 microL), or an inhibitor of heme oxygenase (HO), zinc protoporphyrin-IX (ZnPP-IX; 0.1 mg/kg; i.v.). The same animals were then treated with morphine (100 microg/30 microL) with or without NO or CO donors administration, sodium nitroprusside (SNP) and tricarbonylchloro(glycinato)ruthenium(II) (CORM-3), respectively. A separate set of animals were pretreated with the nonselective opioid receptor antagonist, naloxone (100 microg/30 microL), or the micro(3) opioid receptor inhibitor, L-glutathione (GSH, 1%, 30 microL), in the presence of SNP or CORM-3 followed by morphine administration. IOP measurements were taken at different times after monolateral instillation of morphine. RESULTS Morphine induced a significant decrease in IOP and pretreatment with ZnPP-IX or L-NAME significantly prevented this effect whereas administration of NO or CO donors amplified morphine-induced decrease in IOP. This effect was partially abrogated both by pretreatment with ZnPP-IX or L-NAME, and by pretreatment with naloxone and GSH suggesting that the decrease in IOP relies on exogenous NO and CO liberated from SNP and CORM-3, respectively. CONCLUSIONS We conclude that the endogenous NO/CO system and micro(3) receptors contribute to morphine-induced ocular hypotension and that the reduction of IOP elicited by morphine can be augmented by exogenous NO and CO.
Paleoecological changes in the latest Miocene of Sorbas basin, S.E. Spain

Au 3° Seminaire sur le Messinien (Malaga, 1977), Geerlings a presente la distribution des foraminiferes planctoniques dans la coupe de Los Perales situee dans le bassin de Sorbas. Une etude quantitative de la microfaune benthique de cette coupe a ete realisee maintenant pour servir de standard pour nos recherches dans les bassins voisins. Les resultats preliminaires de l'analyse paleoecologique et leurs relations avec la lithologie sont discutes. Plusieurs explications peuvent etre proposees pour les changements lithologiques et faunistiques intervenant a la fin du Miocene : variations de salinite, de profondeur ou de temperature ; ces trois facteurs ont vraisemblablement joue un role effectif ; un accroissement de la salinite dans un bassin dont la profondeur diminue, peut-etre accompagne d'un refroidissement, est intervenu pendant le depot de la partie superieure de l'intervalle considere. Des recherches preliminaires dans les bassins voisins (Vera, Campo de Nijar) semblent indiquer que ces phenomenes ont une extension geographique plus importante.
A Framework for the Real-Time Walkthrough of Massive Models

We present a framework for rendering very large 3D models at nearly interactive rates. The framework scales with model size. Our framework can integrate multiple rendering acceleration techniques, including visibility culling, geometric levels of detail, and image-based approaches. We describe the database representation scheme for massive models used by the framework. We provide an effective pipeline to manage the allocation of system resources among different techniques. We demonstrate the system on a model of a coal-fired power plant composed of more than 15 million triangles. CR Categories and Subject Headings: H.2 – Database Management, I.3. 3 – Picture/Image Generation (Display Algorithms), I.3. 4 – Graphics Utilities (Application packages), I.3. 6 – Methodology and Techniques (Graphics data structures), I.3. 7 – Three-Dimensional Graphics and Realism (Virtual reality), J.2 – Physical Sciences and Engineering (Engineering), J.6 – Computer-Aided Engineering (Computer-aided design)
Packet-based load-balancing in fat-tree based data center networks

In a data center with TCP/IP communications, it is generally believed that packet-based load balancing is not suitable because the associated packet out-of-order problem will significantly lower the network utilization. In this paper, we first show that if packet-based load balancing is performed properly in a fat-tree based data center, the packet out-of-order problem is not as severe as most researchers believed. This is due to the fact that multiple (minimal) paths between any given pair of servers in a fat-tree are of the same hop count. If packets are evenly routed onto different paths, they will experience similar delay performance. As a result, the packet out-of-order arrivals at the receiver are usually within a small sequence number range. Notably, the fast retransmit (FR) algorithm in TCP will be triggered for resending the “lost” packet if three duplicate ACKs are received (i.e. FR threshold is three). To provide leeway for out-of-order packet arrivals due to packet-based load balancing, we propose to judiciously increase the FR threshold. Simulation results show that FR threshold values between 6 and 9 can effectively suppress unnecessary fast retransmits and at the same time, the impact to real packet losses is minimal. Compared to a flow-based load balancing scheme, we found that our packet-based load balancing with modified TCP consistently provides higher goodput and noticeably smaller delay.
Application of high density electrical method in detecting goaf water in coal mines

High-density electrical method is a rapid, economical and efficient method for detecting goaf water in coal mines. In this paper, firstly, the high-density electrical method was used to perform forward and inverse calculations on the numerical model of the old mine goaf, and the characteristics of geoelectric response were analysed. It can provide scientific basis for on-site detection, analysis, and interpretation of goaf features. Then, the wateraccumulated goaf was explored by combining the engineering cases to make accurate description of the location and extent of the goaf area. Finally, the reliability of the geophysical prospecting was further verified through drilling case. This shall provide the effective reference materials for safe mining and water control.
Multi-agent memetic computing for adaptive learning experiences

Learning is a mechanism to acquire new knowledge and to enhance individual skills in industrial and academic environments. In particular, employing learning methods in an industrial context supports the overall business competitiveness in the new economy. Currently, the e-Learning systems provide a simple “digitalization” of the learning process where the focus is on the educational resources, which are only an input of the whole learning process, and on their presentation (delivery). Computational Intelligence methodologies can overcome current learning systems limitations attaining to personalize learning content and activities to specific preferences of the learner and to assist designers with computationally efficient methods to develop “in time” e-Learning environments. This paper shows how to achieve both results exploiting an ontological representation of learning environment and memetic approach of optimization, integrated into a cooperative distributed problem solving framework.
An efficient full-wave method of moments analysis for RLSA antennas

Here a computationally efficient method of moments (MoM) formulation is presented for the full-wave analysis and design of radial line slot antennas (RLSAs). The method efficiency is based on an ad-hoc representation of the internal problem (electrically large circular cavity) Green's function, which is split into the sum of a parallel plate waveguide contribution and a rim effect contribution, expanded in terms of radial modes. The convergence rate of the proposed Green's function expansion is investigated both analytically and numerically with the aid of some examples. Furthermore, comparisons with a commercial general purpose MoM software were performed on a complete RLSA to demonstrate the accuracy and the efficiency of our approach
Higher Order CRF for Surface Reconstruction from Multi-view Data Sets

We propose a novel method based on higher order Conditional Random Field (CRF) for reconstructing surface models from multi-view data sets. This method is automatic and robust to inevitable scanning noise and registration errors involved in the stages of data acquisition and registration. By incorporating the information within the input data sets into the energy function more sufficiently than existing methods, it more effectively captures spatial relations between 3D points, making the reconstructed surface both topologically and geometrically consistent with the data sources. We employ the state-of-the-art belief propagation algorithm to infer this higher order CRF while utilizing the sparseness of the CRF labeling to reduce the computational complexity. Experiments show that the proposed approach provides improved surface reconstruction.
Length Estimation of Rational B́ezier Curves and Application to CAD Parametrization

We want to estimate the chord length Λ of a given rational Bézier curve efficiently. Since rational Bézier are nonlinear function, it is generally impossible to evaluate its length exactly. We approximate the length by using subdivision and we investig ate the accuracy of the approximation Λn. In order to improve the efficiency, we use adaptivity with some length estimator. Additionally , we will give a rigorous theoretical analysis of the rate of converge nce ofΛn to Λ. We analyze also the required number of subdivisions in orde r to attain a prescribed accuracy. At the end, we briefly descri be an application in CAD surface parametrization. Keywords—Rational Bézier, Length, Parametrization, Adaptivity. I. I NTRODUCTION In geometric modeling, rational Bézier curves are importa nt CAGD entities because they can represent both the free-form setting and the algebraic one. Thus, they can exactly descri be circular arcs and most interesting conic sections. On the ot r hand, free-form Bézier curves are special case of them. Our main contribution in this paper is as follows: • Algorithm for length estimation of such curves, • Theoretical investigation using subdivisions and bounds, • Exponential convergence speed O(2), • Practical computer implementation of the theory. Related works are as follows. Roulier has proposed a length estimation algorithm but only for Bézier curves [11]. Walt er et al. did not really evaluate lengths but they have approximated the arc length parametrization which is a very closely relat ed task. A similar approach was proposed by Floater who used cubic spline for the approximation [5]. Subdivision techni que was used by Hain who proposed some approach to stop the subdivision recursion [6]. In this paper, we use also subdivision but for the rational case. The structure of this paper is as follows. We will start by formulating the problem more accurately in the next section. The main result of this paper is found in section III where we introduce the approximation method and we analyze the error. We will see in section IV a possible improvment of the method by using adaptivity. Section V will be devoted to a brief application in CAD parametrizations. Finally, we show some numerical results at the end of the paper. II. PROBLEM FORMULATION Our objective is to design an algorithm for estimating the length of a curvex inside an interval [a, b]. That is, we want to evaluate
Efficient packet monitoring for network management

Network monitoring is a vital part of modern network infrastructure management. Existing techniques either present a restricted view of network behavior and state, or do not efficiently scale to higher network speeds and heavier monitoring workloads. We present a novel architecture for programmable packet-level network monitoring that addresses these shortcomings. Our approach allows users to customize the monitoring function at the lowest possible level of abstraction to suit a wide range of monitoring needs: we use operating system mechanisms that result in a programming environment providing a high degree of flexibility, retaining fine-grained control over security, and minimizing the associated performance overheads. We present an implementation of this architecture as well as a set of experimental applications.
Stance Detection with Bidirectional Conditional Encoding

Stance detection is the task of classifying the attitude expressed in a text towards a target such as Hillary Clinton to be "positive", negative" or "neutral". Previous work has assumed that either the target is mentioned in the text or that training data for every target is given. This paper considers the more challenging version of this task, where targets are not always mentioned and no training data is available for the test targets. We experiment with conditional LSTM encoding, which builds a representation of the tweet that is dependent on the target, and demonstrate that it outperforms encoding the tweet and the target independently. Performance is improved further when the conditional model is augmented with bidirectional encoding. We evaluate our approach on the SemEval 2016 Task 6 Twitter Stance Detection corpus achieving performance second best only to a system trained on semi-automatically labelled tweets for the test target. When such weak supervision is added, our approach achieves state-of-the-art results.
Amperometric Enzyme-based Gas Sensor for Formaldehyde: Impact of Possible Interferences

In this work, cross-sensitivities and environmental influences on the sensitivity and the functionality of an enzyme-based amperometric sensor system for the direct detection of formaldehyde from the gas phase are studied. The sensor shows a linear response curve for formaldehyde in the tested range (0 - 15 vppm) with a sensitivity of 1.9 μA/ppm and a detection limit of about 130 ppb. Cross-sensitivities by environmental gases like CO2, CO, NO, H2, and vapors of organic solvents like methanol and ethanol are evaluated as well as temperature and humidity influences on the sensor system. The sensor showed neither significant signal to CO, H2, methanol or ethanol nor to variations in the humidity of the test gas. As expected, temperature variations had the biggest influence on the sensor sensitivity with variations in the sensor signal of up to 10 % of the signal for 5 vppm CH2O in the range of 25 - 30 °C.
Characterization of Coupling Efficiency and Absorption Coefficient for Fiber-Coupled SNSPD With an Optical Cavity

We report the characterization of optical coupling efficiency and the absorption coefficient of fiber-coupled superconducting nanowire single photon detector with an optical cavity, which limit the system detection efficiency. The small lenses were applied to compact fiber-coupled package and the efficient optical coupling higher than 95% were confirmed experimentally. The absorption coefficient was also verified and reached to ~ 60% at 1550 nm wavelength and optimum polarized condition. The system detection efficiencies at 1550, 1310 and 810 nm were 28, 40 and 3%, respectively, which are related to the absorptance dependencies on wavelengths.
The H19 long noncoding RNA gives rise to microRNAs miR-675-3p and miR-675-5p to promote skeletal muscle differentiation and regeneration

The H19 long noncoding RNA is repressed after birth, except in skeletal muscle. Dey et al. discover that H19 exon1 encodes miR-675-3p and miR-675-5p. The inhibition of myogenesis by H19 depletion is rescued by expression of miR-675-3p and miR-675-5p. The abnormal skeletal muscle regeneration in H19-deficient mice is rectified by reintroducing miR-675-3p and miR-675-5p. These miRs target the anti-differentiation Smad transcription factors and the DNA replication initiation factor Cdc6. In summary, H19 gives rise to microRNAs to promote skeletal muscle differentiation and regeneration.
A genome‐wide identified risk variant for PTSD is a methylation quantitative trait locus and confers decreased cortical activation to fearful faces

Genetic factors appear to be highly relevant to predicting differential risk for the development of post‐traumatic stress disorder (PTSD). In a discovery sample, we conducted a genome‐wide association study (GWAS) for PTSD using a small military cohort (Systems Biology PTSD Biomarkers Consortium; SBPBC, N = 147) that was designed as a case‐controlled sample of highly exposed, recently returning veterans with and without combat‐related PTSD. A genome‐wide significant single nucleotide polymorphism (SNP), rs717947, at chromosome 4p15 (N = 147, β = 31.34, P = 1.28 × 10−8) was found to associate with the gold‐standard diagnostic measure for PTSD (the Clinician Administered PTSD Scale). We conducted replication and follow‐up studies in an external sample, a larger urban community cohort (Grady Trauma Project, GTP, N = 2006), to determine the robustness and putative functionality of this risk variant. In the GTP replication sample, SNP rs717947 associated with PTSD diagnosis in females (N = 2006, P = 0.005), but not males. SNP rs717947 was also found to be a methylation quantitative trait locus (meQTL) in the GTP replication sample (N = 157, P = 0.002). Further, the risk allele of rs717947 was associated with decreased medial and dorsolateral cortical activation to fearful faces (N = 53, P < 0.05) in the GTP replication sample. These data identify a genome‐wide significant polymorphism conferring risk for PTSD, which was associated with differential epigenetic regulation and with differential cortical responses to fear in a replication sample. These results may provide new insight into understanding genetic and epigenetic regulation of PTSD and intermediate phenotypes that contribute to this disorder. © 2015 Wiley Periodicals, Inc.