Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel DR-tree index based on the diagonal line of MBR

The application of spatial database is increasingly widespread. How to effectively store and organize multidimensional space data and improve the processing efficiency of multidimensional data has become a central issue. R-tree is one of the most widely used spatial indexes. Due to the existing large overlap and coverage among the nodes of R-tree, the search path of a data object is not unique, and the search efficiency declines sharply when the amount of data increases. Based on the analysis and research of previous index trees, a novel DR-tree index based on the diagonal lines of MBR is proposed in this paper. DR-tree uses the diagonal line of MBR to indicate spatial data objects and construct R-tree, still adopt the endpoint coordinates of MBR diagonal to signify the location of leaf nodes or non-leaf nodes. Since MBR is simplified, the coverage and overlap among regions are also reduced. Experimental results show that the new index tree is superior to R-tree in performance. The query paths of data objects are single, the insertion, deletion, and query efficiency of data objects are significantly improved, and the performance of the new index tree becomes more apparent when the amount of data objects increases.
A language modeling approach to the Text Retrieval Conference

In deze bijdrage wordt beschreven hoe taalmodelleren kan helpen Information Retrieval te gebruiken voor het systematisch combineren van informatie uit verschillende bronnen. Vier subtaken van TREC (Ad Hoc, Entry Page, Adaptive Filtering en Cross-language) worden gebruikt om de toepassing te demonstreren van taalmodellen voor verschillende problemen van Information Retrieval.
Authorship Verification via k-Nearest Neighbor Estimation Notebook for PAN at CLEF 2013

In this paper we describe our k-Nearest Neighbor (k-NN) based Au- thorship Verification method for the Author Identification (AI) task of the PAN 2013 challenge. The method follows an ensemble classification technique based on the combination of suitable feature categories. For each chosen feature cate- gory we apply a k-NN classifier to calculate a style deviation score between the training documents of the true authorA and the document from an author, who claims to beA. Depending on the score and a given threshold, a decision for or against the alleged author is generated and stored into a list. Afterwards, the final decision regarding the alleged authorship is determined through a majority vote among all decisions within this list. The method provides a number of benefits as for instance the independence of linguistic resources like ontologies, thesauruses or even language models. A further benefit is the language-independency among different Indo-European languages as the approach is applicable on languages like Spanish, English, Greek or German. Another benefit is the low runtime of the method, since there is no need for deep linguistic processing like POS-tagging, chunking or parsing. Moreover, the method can be extended or modified for in- stance by replacing the classification function, the threshold or the underlying features including their parameters (e.g. n-Gram sizes or the amount of feature frequencies). In addition to the PAN 2013 AI-training-corpus, where we gained an overall accuracy score of 80%, we also evaluated the algorithm on our own dataset with an accuracy of 77.50%.
The Effect of Interconnect Design on the Performance of Large L 2 Caches

The ever increasing sizes of on-chip caches and the growing domination of wire delay have changed the traditional design approach of the memory hierarchy. Many recent proposals advocate splitting the cache into a large number of banks and employ an on-chip network to allow fast access to nearby banks (referred to as Non-Uniform Cache Architectures (NUCA)). While these proposals focus on optimizing logical policies (placement, searching, and movement) associated with a cache design, initial design choices do not include the complexity of the network. With wire delay being the major performance limiting factor in modern processors, components designed without including wire parameters and network overhead will be sub-optimal with respect to both delay and power. The primary contributions of this work are: 1. An extension of the current version of CACTI to include network overhead and find the optimal design point for large on-chip caches. 2. An evaluation of novel techniques at the microarchitecture level that exploit special wires in the L2 cache network to improve performance.
Nanoparticles-Assisted Stem Cell Therapy for Ischemic Heart Disease

Stem cell therapy has attracted increasing attention as a promising treatment strategy for cardiac repair in ischemic heart disease. Nanoparticles (NPs), with their superior physical and chemical properties, have been widely utilized to assist stem cell therapy. With the help of NPs, stem cells can be genetically engineered for enhanced paracrine profile. To further understand the fate and behaviors of stem cells in ischemic myocardium, imaging NPs can label stem cells and be tracked in vivo under multiple modalities. Besides that, NPs can also be used to enhance stem cell retention in myocardium. These facts have raised efforts on the development of more intelligent and multifunctional NPs for cellular application. Herein, an overview of the applications of NPs-assisted stem cell therapy is given. Key issues and future prospects are also critically addressed.
Risk Factors for the Presence of Chikungunya and Dengue Vectors (Aedes aegypti and Aedes albopictus), Their Altitudinal Distribution and Climatic Determinants of Their Abundance in Central Nepal

Background The presence of the recently introduced primary dengue virus vector mosquito Aedes aegypti in Nepal, in association with the likely indigenous secondary vector Aedes albopictus, raises public health concerns. Chikungunya fever cases have also been reported in Nepal, and the virus causing this disease is also transmitted by these mosquito species. Here we report the results of a study on the risk factors for the presence of chikungunya and dengue virus vectors, their elevational ceiling of distribution, and climatic determinants of their abundance in central Nepal. Methodology/Principal Findings We collected immature stages of mosquitoes during six monthly cross-sectional surveys covering six administrative districts along an altitudinal transect in central Nepal that extended from Birgunj (80 m above sea level [asl]) to Dhunche (highest altitude sampled: 2,100 m asl). The dengue vectors Ae. aegypti and Ae. albopictus were commonly found up to 1,350 m asl in Kathmandu valley and were present but rarely found from 1,750 to 2,100 m asl in Dhunche. The lymphatic filariasis vector Culex quinquefasciatus was commonly found throughout the study transect. Physiographic region, month of collection, collection station and container type were significant predictors of the occurrence and co-occurrence of Ae. aegypti and Ae. albopictus. The climatic variables rainfall, temperature, and relative humidity were significant predictors of chikungunya and dengue virus vectors abundance. Conclusions/Significance We conclude that chikungunya and dengue virus vectors have already established their populations up to the High Mountain region of Nepal and that this may be attributed to the environmental and climate change that has been observed over the decades in Nepal. The rapid expansion of the distribution of these important disease vectors in the High Mountain region, previously considered to be non-endemic for dengue and chikungunya fever, calls for urgent actions to protect the health of local people and tourists travelling in the central Himalayas.
Schemes for deterministic polynomial factoring

In this work we relate the deterministic complexity of factoring polynomials (over finite fields) to certain combinatorial objects, we call m-schemes, that are generalizations of permutation groups. We design a new generalization of the known conditional deterministic subexponential time polynomial factoring algorithm to get an underlying m-scheme. We then demonstrate how progress in understanding m-schemes relate to improvements in the deterministic complexity of factoring polynomials, assuming the Generalized Riemann Hypothesis (GRH). In particular, we give the first deterministic polynomial time algorithm (assuming GRH) to find a nontrivial factor of a polynomial of prime degree n where (n-1) is a constant-smooth number. We use a structural theorem about association schemes on a prime number of points, which Hanaki and Uno (2006) proved by representation theory methods.
on Emerging Trends in

In multilabel classification each example is represented with features and associated with multiple labels. Multilabel classification aims to predict set of labels for unseen instances. Researchers have developed multilabel classification using both the problem transformation approach and algorithm adaptation approach. An algorithm called ML-kNN that follows algorithm adaptation approach has been developed and being used to perform multilabel classification. However it does not considers label correlation and thus results in lesser prediction accuracy. A new approach called CML-kNN reported in the literature exploits label correlation using both Intra-Coupling and Inter-Coupling label similarities between the labels to provide better accuracy than that of ML-kNN, but curse of dimensionality is the great challenges in multilabel data. So to address this problem a new approach called CML-kNN with feature selection is presented in this work. The basic idea of this work is to investigate the performance
ISMANET: A Secure Routing Protocol Using Identity-Based Signcryption Scheme for Mobile Ad-Hoc Networks

Mobile ad-hoc networks consist of mobile nodes interconnected by multihop path that has no fixed network infrastructure support. Due to the limited bandwidth and resource, and also the frequent changes in topologies, ad-hoc network should consider these features for the provision of security. We present a secure routing protocol based on identity-based signcryption scheme. Since the proposed protocol uses an identity-based cryptosystem, it does not need to maintain a public key directory and to exchange any certificate. In addition, the signcyption scheme simultaneously fulfills both the functions of digital signature and encryption. Therefore, our protocol can give savings in computation cost and have less amount of overhead than the other protocols based on RSA because it uses identity-based signcryption with pairing on elliptic curve. The effectiveness of our protocol is illustrated by simulations conducted using ns-2.
Abnormal autonomic cardiovascular control in ankylosing spondylitis

OBJECTIVE This study was aimed at assessing the contribution of the autonomic nervous system to adjustments of cardiovascular function in patients with ankylosing spondylitis (AS). METHODS In 18 AS patients (mean age: 34.9; mean disease duration: 6.4 years) and 13 healthy controls (mean age: 31.7) the changes of heart rate (HR) with deep breathing (E/I ratio) and standing up (30/15 ratio) were recorded. The slope of cardiac baroreflex, the times series of blood pressure and HR values upon lying and standing, and venous plasma concentrations of catecholamines were also analysed. Erythrocyte sedimentation rate (ESR), plasma C reactive protein (CRP) concentration and a clinical index (BASDAI score) were used to assess the degree of disease activity in patients. RESULTS In the standing patients, blood pressure was found to decrease progressively (p< 0.001). Furthermore, the patients with a BASDAI score > 5 had a higher heart rate than patients with a BASDAI score < 5 (p<0.02), and there was a trend for a similar difference when patients were classified according to their ESR and CRP. Plasma catecholamine concentrations and the E/I ratio were not different in patients from controls. The 30/15 ratio and the slope of the spontaneous baroreflex during standing were both lower in AS patients than controls (p< 0.01). CONCLUSIONS This study demonstrated a change in autonomic nervous system function of AS patients, with a decreased parasympathetic activity, as evidenced by higher HR and lower baroreflex slope. As these significant deviances were mainly observed in patients with more active (or more inflammatory) disease, the autonomic nervous system involvement could be related to the inflammatory process. This autonomic strain may be related to the cardiac involvement in AS patients.
Central Memory CD8+ T Cells Induce Graft-versus-Host Disease and Mediate Graft-versus-Leukemia1

In allogeneic hemopoietic stem cell transplantation, mature donor αβ T cells in the allograft promote T cell reconstitution in the recipient and mediate the graft-vs-leukemia (GVL) effect. Unfortunately, donor T cells can attack nonmalignant host tissues and cause graft-vs-host disease (GVHD). It has previously been shown that effector memory T cells not primed to alloantigen do not cause GVHD yet transfer functional T cell memory and mediate GVL. Recently, central memory T cells (TCM) have also been reported to not cause GVHD. In contrast, in this study, we demonstrate that purified CD8+ TCM not specifically primed to alloantigens mediate GVHD in the MHC-mismatched C57BL/6 (B6)→BALB/c and the MHC-matched, multiple minor histocompatibility Ag-mismatched C3H.SW→B6 strain pairings. CD8+ TCM and naive T cells (TN) caused similar histological disease in liver, skin, and bowel. B6 CD8+ TCM and TN similarly expanded in BALB/c recipients, and the majority of their progeny produced IFN-γ upon restimulation. However, in both models, CD8+ TCM induced milder clinical GVHD than did CD8+ TN. Nonetheless, CD8+ TCM and TN were similarly potent mediators of GVL against a mouse model of chronic-phase chronic myelogenous leukemia. Thus, in contrast to what was previously thought, CD8+ TCM are capable of inducing GVHD and are substantially different from TEM but only subtly so from TN.
60 55 v 3 3 M ar 2 00 5 RELAXATION TIME OF QUANTIZED TORAL MAPS

We introduce the notion of the relaxation time for noisy quantum maps on the 2d-dimensional torus-a generalization of previously studied dissipation time. We show that relaxation time is sensitive to the chaotic behavior of the corresponding classical system if one simultaneously considers the semiclassical limit (→ 0) together with the limit of small noise strength (ǫ → 0). Focusing on quantized smooth Anosov maps, we exhibit a semiclassical régime < ǫ E ≪ 1 (where E > 1) in which classical and quantum relaxation times share the same asymptotics: in this régime, a quantized Anosov map relaxes to equilibrium fast, as the classical map does. As an intermediate result, we obtain rigorous estimates of the quantum-classical correspondence for noisy maps on the torus, up to times logarithmic in −1. On the other hand, we show that in the " quantum régime " ǫ ≪ ≪ 1, quantum and classical relaxation times behave very differently. In the special case of ergodic toral symplectomorphisms (generalized " Arnold's cat " maps), we obtain the exact asymptotics of the quantum relaxation time and precise the régime of correspondence between quantum and classical relaxations.
A Polynomial Invariant of Graphs On Orientable Surfaces

We consider cyclic graphs, that is, graphs with cyclic orders at the vertices, corresponding to 2‐cell embeddings of graphs into orientable surfaces, or combinatorial maps. We construct a three variable polynomial invariant of these objects, the cyclic graph polynomial, which has many of the useful properties of the Tutte polynomial. Although the cyclic graph polynomial generalizes the Tutte polynomial, its definition is very different, and it depends on the embedding in an essential way. 2000 Mathematical Subject Classification: 05C10.
ITERATIVELY DECODABLE CODES FOR WATERMARKING APPLICATIONS

The problem of information hiding or watermarking is investigated. Based in an information theoretic analysis of the watermarking task we investigate a strategy to employ binary codes to robustly hide data in a given host signal. The central theme of the problem is the interplay of a vector quantization and a channel coding task. Turbo codes and other coding schemes are compared in terms of their performance in a watermarking application.
Etiology of Gastroschisis

If scientific progress depends upon research experiments, experiments themselves depend upon hypotheses. In material science such as Theoretical Physics, even Nobel Prizes have been awarded for hypothetical works [1]. Unfortunately, the healing science is reeling in the rungs of ‘Evidence-Based Medicine’. Although a specialized journal ‘Medical Hypotheses’ tries to bridge this gap, medical science generally frowns upon theorization without observed numerical data. Athena, who is greatly interested in “Theoretical Medicine”, is pleased to note that etiopathogenic puzzle of gastroschisis has recently been elucidated by several hypothetical papers.
A Flexible Approach Towards Self-Adapting Process Recommendations

A companys ability to flexibly adapt to changing business requirements is one key factor to remain competitive. The required flexibility in people driven processes is usually achieved through ad-hoc workflows which are naturally highly unstructured. Ef- fective guidance in ad-hoc workflows therefore requires a simultaneous consideration of multiple goals: support of individual work habits, classification of unstructured messages, exploration of crowd process knowledge, and automatic adaptation to changes. This paper presents a flexible approach towards the mapping of unstructured messages onto processes as well as patterns for self-adjusting and context-sensitive process recommendations based on the analysis of user behavior, crowd processes, and continuous application of process detection. Specifically, we classify users as eagles (i.e., specialists) or flock. The approach is evaluated in the context of the European research project Commius.
Global asymptotic stability of stochastic neural networks with distributed and time-varying delays

This paper is concerned with the asymptotic stability analysis problem for stochastic neural networks with distributed and time-varying delays. By using the stochastic analysis approach, employing some free-weighting matrices and introducing an appropriate type of Lyapunov functional which take into account the ranges of delays, a new stability criterion is established in terms of linear matrix inequalities (LMIs) to guarantee the delayed neural networks to be robustly asymptotically stable in the mean square. And the new criterion is applicable to both fast and slow time-varying delays. One numerical example has been used to demonstrate the usefulness of the main results.
The influence of in-pregnancy smoking cessation programs on partner quitting and women’s social support mobilization. A randomized controlled trial. Running title Partner quitting and social support: an RCT Authors:

Background Smoking cessation interventions in pregnancy could influence a woman’s social behaviour and her partner’s smoking behaviour, but this has not been examined in any published randomized trials. Method 918 women smoking at booking for antenatal care were enrolled in a cluster-randomized trial of three interventions: standard care, self-help manual and enhanced stage-based counselling, or self-help manual, enhanced stage-based counselling and use of an interactive computer program. The outcomes were change in social support received by women between booking for maternity care and 30 weeks gestation and 10 days postpartum and reported cessation in the woman’s partner at these times. Results Few pregnant women’s partners stopped smoking (4.1% at 30 weeks of gestation and 5.8% at 10 days postpartum) and the probability of quitting did not differ significantly by trial arm. Women’s scores on the Inventory of Socially Supportive Behaviours showed a slight decline from booking to 30 weeks gestation, and a slight increase to 10 days postpartum, but these changes did not differ significantly by trial arm.
How sustainable is social based mobile crowdsensing? An experimental study

The wide spread of smart mobile devices such as tablets and phones makes mobile crowdsensing a viable approach for collecting data and monitoring phenomena of common interest. Smart devices can sense and compute their surroundings and contribute to mechanisms that examine social and collective behaviours. Crowdsensing offers a feasible alternative to exchange and compute sensing tasks and data between devices. Due to the limited resources (i.e., battery, processing power, memory) of smart mobile devices, the cooperation and hence, the performance of the mobile crowdsensing applications may be affected. We empirically show that collective incentives, such as trust (social ties) among participants, and resources availability can boost the performance of mobile crowdsensing applications. This collective incentive together with the existing cooperation enforcing mechanisms, can enhance the cooperation of the participants and incentify them to cooperate in social based mobile crowdsensing applications.
The Feasibility of Utilizing the Cellular Infrastructure For Urban Wildlife Telemetry

Human populations inhabiting urban landscapes have increased from 224 million in 1900 to 2.9 billion in 1999. The wildlife biology profession utilizes telemetry derived location information for ecological and management studies that involve movement, behavior, habitat use, survival, productivity, and others. World-wide there were more than 1.2 billion cellular telephone users in 2003. A cellular phone based telemetry system is a feasible technology to assist wildlife biologists and researchers overcome the obstacles and requirements for conducting research in urbanized landscapes. A study was performed to assess functional and economic feasibility of developing a cellularbased telemetry system for urban wildlife use. A review of current literature that used traditional wildlife telemetry technologies resulted in the focus of four areas: the study of urban wildlife; traditional telemetry technologies; radio tag weights, frequency use, power, and cost of traditional telemetry technologies; and performance of traditional technologies in urban and non-urban landscapes. Geolocation by wireless communications systems is a relatively new market in the United States, and thus requirements and standards are still developing. Due to constraints outlined in this paper, at this time, the most feasible and promising approach to utilizing the cellular infrastructure for geolocation of urban wildlife is by establishing an ad hoc system for data transferal and accomplishing geolocation by ultra-wide band (UWB) technology.
Limited Effect of Dopaminergic Medication on Straight Walking and Turning in Early-to-Moderate Parkinson’s Disease during Single and Dual Tasking

Background In Parkinson’s disease (PD), the effects of dopaminergic medication on straight walking and turning were mainly investigated under single tasking (ST) conditions. However, multitasking situations are considered more daily relevant. Methods Thirty-nine early-to-moderate PD patients performed the following standardized ST and dual tasks as fast as possible for 1 min during On- and Off-medication while wearing inertial sensors: straight walking and turning, checking boxes, and subtracting serial 7s. Quantitative gait parameters as well as velocity of the secondary tasks were analyzed. Results The following parameters improved significantly in On-medication during ST: gait velocity during straight walking (p = 0.03); step duration (p = 0.048) and peak velocity (p = 0.04) during turning; velocity of checking boxes during ST (p = 0.04) and DT (p = 0.04). Velocity of checking boxes was the only parameter that also improved during DT. Conclusion These results suggest that dopaminergic medication does not relevantly influence straight walking and turning in early-to-moderate PD during DT.