Miracle-dz/UniFAR-FTUs huggingface dataset:
On Interior-Point Warmstarts for Linear and Combinatorial Optimization

Despite the many advantages of interior-point algorithms over active-set methods for linear optimization, one of the remaining practical challenges is their current limitation to efficiently solve series of related problems by an effective warmstarting strategy. As a remedy, in this paper we present a new infeasible-interior-point approach to quickly reoptimize an initial problem instance after data perturbations, or a new linear programming relaxation after adding cutting planes for discrete or combinatorial problems. Based on the detailed complexity analysis of the underlying algorithm, we perform a comparative analysis to coldstart initialization schemes and present encouraging computational results with iteration savings of around 50% on average for perturbations of the Netlib linear programs (LPs) and successive linear programming relaxations of max-cut and the traveling salesman problem.
An FP Tree based Approach for Extracting Frequent Pattern from Large Database by Applying Parallel and Partition Projection

There are lots of data mining tasks such as association rule, clustering, classification, regression and others. Among these tasks association rule mining is most prominent. One of the most popular approaches to find frequent item set in a given transactional dataset is Association rule mining. Frequent pattern mining is one of the most important tasks for discovering useful meaningful patterns from large collection of data. The FP Growth algorithm is currently one of the fastest approaches to frequent item set mining. This paper proposed an efficient and improved FP Tree algorithm which used a projection method to reduce the database scan and save the execution time. The advantage of PFP Tree is that it takes less memory and time in association mining. Experimental result showed that the improved PFP Tree algorithm performs faster than FP growth Tree algorithm and partition projection algorithm. It is more efficient and scalable in the case of large volume of data. The effectiveness of the method has been justified over a sample our one super market database.
Investigating the Development of Abnormal Subauroral Ion Drifts (ASAID) During the Magnetically Quiet Times of October 2003

Appearing as inverted subauroral ion drifts (SAID) during magnetically disturbed and quiet times, the abnormal SAID (ASAID) is a recently reported phenomenon. Disturbed‐time ASAID development can be explained with a magnetospheric cold‐plasma‐shoulder‐hot‐ring‐current interface layer that generates an earthward (or inward) magnetospheric electric (E) field, which maps down to the ionospheric cold‐plasma‐trough‐hot‐ring‐current interface layer as a southward (or equatorward) ionospheric E field. However, this plasmaspheric shoulder cannot develop under magnetically quiet conditions. Therefore, the quiet time ASAID development is still not clear and our main aim is to unravel its development. We analyze multisatellite and multiinstrument observations and show four scenarios demonstrating ASAID events during the magnetically quiet period of 9–11 October 2003. Results obtained for the longer 9–12 October 2003 time period provide observational evidence of the continuous presence of solar wind Alfven waves (i) driving dayside magnetopause and nightside magnetotail reconnections, (ii) bouncing back and forth in the coupled magnetosphere and ionosphere, and thus (iii) creating bouncing Alfven waves that ripple the plasma sheet's inner edge during the ASAID events investigated. These observational results suggest that the bouncing Alfven waves led to the development of a magnetospheric cold‐plasma‐ripple‐hot‐ring‐current interface layer during these quiet times leading to quiet time ASAID development. Confirming this suggestion, we demonstrate and analyze 10 February and 5 March 1991 scenarios, depicting ASAID events, and invoke published magnetospheric cross‐tail EY observations evidencing bouncing Alfven waves and plasma sheet rippling during the underlying energetic particle injection events.
San Fermín: Aggregating Large Data Sets Using a Binomial Swap Forest

San Fermin is a system for aggregating large amounts of data from the nodes of large-scale distributed systems. Each San Fermin node individually computes the aggregated result by swapping data with other nodes to dynamically create its own binomial tree. Nodes that fall behind abort their trees, thereby reducing overhead. Having each node create its own binomial tree makes San Fermin highly resilient to failures and ensures that the internal nodes of the tree have high capacity, thereby reducing completion time. Compared to existing solutions, San Fermin handles large aggregations better, has higher completeness when nodes fail, computes the result faster, and has better scalability. We analyze the completion time, completeness, and overhead of San Fermin versus existing solutions using analytical models, simulation, and experimentation with a prototype built on peer-to-peer system deployed on PlanetLab. Our evaluation shows that San Fermin is scalable both in the number of nodes and in the aggregated data size. San Fermin aggregates large amounts of data significantly faster than existing solutions: compared to SDIMS, an existing aggregation system, San Fermin computes a 1MB result from 100 PlanetLab nodes in 61-76% of the time and from 2-6 times as many nodes. Even if 10% of the nodes fail during aggregation, San Fermin still includes the data from 97% of the nodes in the result and does so faster than the underlying peer-to-peer system recovers from failures.
60 GHz Wireless Link Within Metal Enclosures: Channel Measurements and System Analysis

Wireless channel measurement results for 60 GHz within a closed metal cabinet are provided. A metal cabinet is chosen to emulate the environment within a mechatronic system, which have metal enclosures in general. A frequency domain sounding technique is used to measure the wireless channel for different volumes of the metal enclosure, considering both line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. Large-scale and small-scale characteristics of the wireless channel are extracted in order to build a comprehensive channel model. In contrast to conventional indoor channels at 60 GHz, the channel in the metal enclosure is highly reflective resulting in a rich scattering environment with a significantly large root-mean-square (RMS) delay spread. Based on the obtained measurement results, the bit error rate (BER) performance is evaluated for a wideband orthogonal frequency division multiplexing (OFDM) system.
Human and Dog Consumption of Fish on the Lower Ob River of Siberia: Evidence for a Major Freshwater Reservoir Effect at the Ust’-Polui Site

Abstract Ust’-Polui is one of the most extensively studied archaeological sites in the western Siberian Arctic. New radiocarbon (14C) dates for charcoal, faunal remains, bark, hide, and human bone from this site are presented. When modeled, the charcoal dates span from ~260 BC to 140 AD, overlapping with the dendrochronology dates from the site. These dates also overlap with the expected age of the site based on artefact typology. 14C dates on reindeer bone have a slightly younger modeled age range, from ~110 BC to 350 AD. In contrast, dates on the site’s numerous dog remains, and on human and fish bone, all predate these modeled age ranges by over 500 years, despite being from the same deposits. Several sets of paired dates demonstrate significant age differences. Bone dates with lower δ13C values tend to be over 500 years older than those with higher δ13C values. Stable isotope data for the humans, dogs, and other faunal remains are also presented. These data suggest the dogs and the humans were regularly consuming freshwater fish. The dogs were probably fed fish by their human counterparts. Overall, the dog and human dietary patterns at Ust’-Polui created 14C dates biased with major freshwater reservoir effects.
Newcastle Disease Virus: Potential Therapeutic Application for Human and Canine Lymphoma

Research on oncolytic viruses has mostly been directed towards the treatment of solid tumors, which has yielded limited information regarding their activity in hematological cancer. It has also been directed towards the treatment of humans, yet veterinary medicine may also benefit. Several strains of the Newcastle disease virus (NDV) have been used as oncolytics in vitro and in a number of in vivo experiments. We studied the cytolytic effect of NDV-MLS, a low virulence attenuated lentogenic strain, on a human large B-cell lymphoma cell line (SU-DHL-4), as well as on primary canine-derived B-cell lymphoma cells, and compared them to healthy peripheral blood mononuclear cells (PBMC) from both humans and dogs. NDV-MLS reduced cell survival in both human (42% ± 5%) and dog (34% ± 12%) lymphoma cells as compared to untreated controls. No significant effect on PBMC was seen. Cell death involved apoptosis as documented by flow-cytometry. NDV-MLS infections of malignant lymphoma tumors in vivo in dogs were confirmed by electron microscopy. Early (24 h) biodistribution of intravenous injection of 1 × 1012 TCID50 (tissue culture infective dose) in a dog with T-cell lymphoma showed viral localization only in the kidney, the salivary gland, the lung and the stomach by immunohistochemistry and/or endpoint PCR. We conclude that NDV-MLS may be a promising agent for the treatment of lymphomas. Future research is needed to elucidate the optimal therapeutic regimen and establish appropriate biosafety measures.
Bevacizumab for choroidal neovascularization secondary to age-related macular degeneration and pathological myopia

Introduction: Many retinal specialists have utilized intravitreal bevacizumab as an anti-VEGF to treat choroidal neovascularization (CNV), secondary to age-related macular degeneration (AMD) and pathological myopia, with favorable results. Bevacizumab is currently approved only for the systemic treatment of colon carcinoma, whereas it is widely used off-label for treating ocular neovascular diseases. Areas covered: In this review, after thorough search, 33 relevant studies conducted in the last 4 years were found. These articles comprised 14 studies about use of bevacizumab alone or in combination with other therapeutic agents to treat exudative AMD, and 19 studies on the use of myopic CNV. Expert opinion: Although bevacizumab is widely used as an anti-VEGF agent for the treatment of exudative AMD, data on its systemic side effects are limited because of studies’ short follow-up periods, absence of appropriate controls, limitation in reporting outcomes, and lack of controlled clinical trials in Phase III. Some safety studies demonstrated no difference between bevacizumab and ranibizumab in occurrence of heart attacks or stroke. Conducting proper randomized clinical trials with long-term follow-up is crucial to make sure about efficacy and safety of bevacizumab.
Mining and Analyzing Twitter trends: Frequency based ranking of descriptive Tweets

One of the major sources of trending news, events and opinion in the current age is micro blogging. Twitter, being one of them, is extensively used to mine data about public responses and event updates. This paper intends to propose methods to filter tweets to obtain the most accurately descriptive tweets, which communicates the content of the trend. It also potentially ranks the tweets according to relevance. The principle behind the ranking mechanism would be the assumed tendencies in the natural language used by the users. The mapping frequencies of occurrence of words and related hash tags is used to create a weighted score for each tweet in the sample space obtained from twitter on a particular trend.
"Anxietas tibiarum". Depression and anxiety disorders in patients with restless legs syndrome.

BACKGROUND Symptoms of anxiety and depression in patients with restless legs syndrome (RLS) have been observed. However, it is unclear whether rates of threshold depression and anxiety disorders according to DSM-IV criteria in such patients are also elevated. METHODS 238 RLS patients were assessed with a standardized diagnostic interview (Munich-Composite International Diagnostic Interview for DSM-IV) validated for subjects aged 18-65 years. Rates of anxiety and depressive disorders were compared between 130 RLS patients within this age range and 2265 community respondents from a nationally representative sample with somatic morbidity of other types. RESULTS RLS patients revealed an increased risk of having 12-month anxiety and depressive disorders with particularly strong associations with panic disorder (OR=4.7; 95% CI=2.1-10.1), generalized anxiety disorder (OR=3.5; 95% CI= 1.7-7.1), and major depression (OR=2.6; 95% CI=1.5-4.4). In addition, lifetime rates of panic disorder and most depressive disorders as well as comorbid depression and anxiety disorders were considerably increased among RLS patients compared with controls. CONCLUSIONS The results suggest that RLS patients are at increased risk of having specific anxiety and depressive disorders. Causal attributions of patients suggest that a considerable proportion of the excess morbidity for depression and panic disorder might be due to RLS symptomatology.
IN SITU SHEAR MODULUS REDUCTION COMPUTATION USING SEISMIC INTERFEROMETRY BY DECONVOLUTION FROM BOREHOLE AND SURFACE DATA: THEORY AND EXAMPLES

We use seismic interferometry by deconvolution to estimate the travel time between two receivers located at the surface and at the bottom of a soil column having strong motion recordings. Since the distance between sensors is known, the computed travel time can be used to estimate the velocity of propagating waves in the medium. In previous studies, several records having different PGA's have been used to estimate the material degradation by computing the lag time either by cross-correlation or deconvolution techniques. In this study we show that it is possible to obtain reliable results using a single couple of records if nonlinear effects are triggered. First, some numerical tests are conducted to validate the method with a monolayer soil column, with well known mechanical properties. As a borehole input, we use the record of the Northridge earthquake of 1994 (Sylmar station rock site), while the ground motion at the surface is computed using a 1D SH nonlinear wave propagation code. Furthermore, the code allows to set constant/variable shear velocity profile for each layer and controlling the hysteretic damping following a prescribed damping ratio curve. The results show the capability of the method to compute the G/G0 curve that is compatible with the theoretical one. In addition, we assess the effect of hysteretic damping control during wave propagation. We found that this introduces artificial degradation of the backbone curve, which in turn produces permanent fictitious material degradation. Finally, we use borehole and surface accelerograms from the Mw9 Tohoku earthquake in 2011 recorded at the KiK-net IBRH16 station. We estimate the plastic degradation of the first 5 m of loosely packed soil layers and monitor the temporal changes of shear modulus at this site.
Learning to Act with RVRL Agents

The use of reinforcement learning to guide action selection of cognitive agents has been shown to be a powerful technique for stochastic environments. Standard Reinforcement learning techniques used to provide decision theoretic policies rely, however, on explicit state-based computations of value for each state-action pair. This requires the computation of a number of values exponential to the number of state variables and actions in the system. This research extends existing work with an acquired probabilistic rule representation of an agent environment by developing an algorithm to apply reinforcement learning to values attached to the rules themselves. Structure captured by the rules is then used to learn a policy directly. The resulting value attached to each rule represents the utility of taking an action if the conditions of the rule are present in the agent’s current set of percepts. This has several advantages for planning purposes: generalization over many states and over unseen states; effective decisions can therefore be made with less training data than state based modelling systems (e.g. Dyna Q-Learning); and the problem of computation in an exponential state-action space is alleviated. The results of application of this algorithm to rules in a specific environment are presented, with comparison to standard reinforcement learning policies developed from related work.
Design and Empirical Evaluation of an Agile Web Engineering Process

Web applications present important characteristics that must be properly addressed by software engineering methods, processes and techniques. In most cases, Web systems have to be delivered complying with severe time constraints due to its strategic nature for the client’s business. In this work we describe an agile process for Web-based application development, XWebProcess, which is based on Extreme Programming and aims at building high quality Web applications in a time effective way. The process is described using the SPEM meta-modeling language to facilitate its understanding and further improvements. An experiment was conducted to assess the time effectiveness and the quality of the proposed process. The results have shown that XWebProcess is equally agile when compared to Extreme Programming, moreover, surveys conducted as part of the experiment pointed out that XWebProcess is suitable to Web development in dimensions such as requirements gathering, user interface and navigation design, and software testing.
An Occlusion-Based Representation of Shape for Viewpoint Recovery

In this paper we present the geometry and the algorithms for organizing and using a viewer-centered representation of the occluding contour of polyhedra. The representation is computed from a polyhedral model under orthographic projection for all viewing directions. Using this representation, we derive constraints on viewpoint correspondences between image features and model contours. Our results show that the occluding contour, computed in a model-based framework, can be used to strongly constrain the viewpoints where a 3D model matches the occluding contour features of the image.
Distributed Maximal Clique Computation

Maximal cliques are important substructures in graph analysis. Many algorithms for computing maximal cliques have been proposed in the literature, however, most of them are sequential algorithms that cannot scale due to the high complexity of the problem, while existing parallel algorithms for computing maximal cliques are mostly immature and especially suffer from skewed workload. In this paper, we first propose a distributed algorithm built on a share-nothing architecture for computing the set of maximal cliques. We effectively address the problem of skewed workload distribution due to high-degree vertices, which also leads to drastically reduced worst-case time complexity for computing maximal cliques in common real-world graphs. Then, we also devise algorithms to support efficient update maintenance of the set of maximal cliques when the underlying graph is updated. We verify the efficiency of our algorithms for computing and updating the set of maximal cliques with a range of real-world graphs from different application domains.
Expression and Cellular Localization of Molecules of the gp82 Family in Trypanosoma cruzi Metacyclic Trypomastigotes

ABSTRACT A member of the Trypanosoma cruzi gp82 family, expressed on metacyclic trypomastigote surface and identified by monoclonal antibody (MAb) 3F6, plays a key role in host cell invasion. Apart from the gp82 defined by MAb 3F6, no information is available on members of this protein family. From cDNA clones encoding gp82 proteins sharing 59.1% sequence identity, we produced the recombinant proteins J18 and C03, the former containing and the latter lacking the epitope for MAb 3F6. Polyclonal antibodies to J18 and C03 proteins were generated and used, along with MAb 3F6, to analyze the expression and cellular localization of gp82 family members in metacyclic forms of CL and G strains, which belong to highly divergent genetic groups. By two-dimensional gel electrophoresis and immunoblotting, molecules of 82 to 86 kDa, focusing at pH 4.6 to 5.4, and molecules of 72 to 88 kDa, focusing at pH 4.9 to 5.7, were visualized in CL and G strains, respectively. Flow cytometry and microscopic analysis revealed in both strains similar expression of MAb 3F6-reactive gp82 in live and permeabilized parasites, indicating its surface localization. The reaction of live parasites of both strains with anti-J18 antibodies was weaker than with MAb 3F6 and was increased by permeabilization. Anti-C03 antibodies bound predominantly to flagellar components in permeabilized G strain parasites, but in the CL strain the flagellum was not the preferential target for these antibodies. Host cell invasion of metacyclic forms was inhibited by J18 protein, as well as by MAb 3F6 and anti-J18 antibodies, but not by C03 protein or anti-C03 antibodies.
Whole-Genome Sequence of Listeria welshimeri Reveals Common Steps in Genome Reduction with Listeria innocua as Compared to Listeria monocytogenes

ABSTRACT We present the complete genome sequence of Listeria welshimeri, a nonpathogenic member of the genus Listeria. Listeria welshimeri harbors a circular chromosome of 2,814,130 bp with 2,780 open reading frames. Comparative genomic analysis of chromosomal regions between L. welshimeri, Listeria innocua, and Listeria monocytogenes shows strong overall conservation of synteny, with the exception of the translocation of an FoF1 ATP synthase. The smaller size of the L. welshimeri genome is the result of deletions in all of the genes involved in virulence and of “fitness” genes required for intracellular survival, transcription factors, and LPXTG- and LRR-containing proteins as well as 55 genes involved in carbohydrate transport and metabolism. In total, 482 genes are absent from L. welshimeri relative to L. monocytogenes. Of these, 249 deletions are commonly absent in both L. welshimeri and L. innocua, suggesting similar genome evolutionary paths from an ancestor. We also identified 311 genes specific to L. welshimeri that are absent in the other two species, indicating gene expansion in L. welshimeri, including horizontal gene transfer. The species L. welshimeri appears to have been derived from early evolutionary events and an ancestor more compact than L. monocytogenes that led to the emergence of nonpathogenic Listeria spp.
Towards the Systematic Development of Description Logic Reasoners: CLASP Reconstructed

It is argued that considerable beneets can be obtained by making KR&R systems easily ex-tendable, so that new language constructs can be added on a per-application basis. In order to achieve this extensibility we need techniques for formally specifying the extensions, and for modularly and locally modifying the implementations. We present two such techniques applicable to the family of reasoners based on Description/Terminological Logics, namely natural semantics rules of inference, and the protodl customizable KBMS architecture. The bulk of the paper aims to demonstrate the eecacy of these techniques, together with some heuristics for their use, by showing how we could reconstruct a previously proposed description logic: Devanbu and Litman's extension to classic, called clasp, designed to reason about actions and plans. In the process, we uncover a few de-ciencies in the original proposal, and provide for the rst time a formal semantics for clasp.