Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconfigurable Number Theoretic Transform architectures for cryptographic applications

As an important component of Spectral Modular Arithmetic (SMA) cryptographic co-processor, the efficient architectures of Number Theoretic Transforms (NTTs) on FPGA are discussed in this paper. We analyze characteristics of the NTTs for cryptographic applications, compare different arithmetic approaches, introduce an optimized solution for FPGA implementation, and developed several different architectures. Qualitative and quantitative analyses are provided to show the effectiveness of our proposed architectures.
Moment invariant-based multi-target recognition and grasping for robot manipulator

A moment Invariant-Based multi-target recognition and grasping method aimed to the visual servoing control for robot manipulator is presented. The recognizing for the assigned target objective among the multi-targets is realized by using the image region segment technique, features set composed of 7 moment invariants and Euclidean distance measurement. The grasping recognized target objective is completed with the method of position-based visual servoing control. The experimental study is done on a GB-400 4 DOFs robot manipulator by using the proposed method and its effectiveness is verified.
Systematic Review: Representativeness of Participants in RCTs of Acetylcholinesterase Inhibitors

Objective To determine whether there are differences in age and sex distribution and presence of comorbidities between participants included in randomized controlled trials of acetylcholinesterase inhibitors and nationwide cohort of persons with Alzheimer’s disease. Methods PubMed, Scopus and Cochrane Library databases were searched for original articles from their inception to January 4, 2015. Double-blind randomized controlled trials with donepezil, rivastigmine or galantamine compared to placebo in participants with Alzheimer’s disease were included. Data from a nationwide cohort of persons with clinically verified diagnoses of Alzheimer’s disease was defined as a reference population. Results 128 full-text articles were assessed for eligibility, 31 of them fulfilled criteria. Mean age of participants in randomized controlled trials (n = 15,032) was 5.8 years lower (95% CI 5.7 to 5.9, P < 0.001), compared to the mean age of 79.7 years in the reference population with Alzheimer’s disease (n = 28,093). Most of the articles did not report age distribution of participants. The proportion of women was 63.2% (9,475/14,991) in randomized controlled trials and 67.8% (19,043/28,093) (P < 0.001) in the reference population. Information on comorbidities and use of concomitant drugs were lacking or poorly reported in most articles. Conclusions There is a discrepancy between participants in randomized controlled trials of acetylcholinesterase inhibitors and real-life population with Alzheimer’s disease. Participants in randomized controlled trials were significantly younger. Further, more detailed reporting of age distribution, comorbidities and concomitant drugs would be important information for clinicians when evaluating conclusions from randomized controlled trials to real-life practice. The existing recommendations of inclusion of older people should be followed to ensure safe pharmacotherapy for older people.
Modifying Reflexion Model with AspectJ Seonah Lee

Aspect-oriented tracing is one of several practical applications that can be used in analyzing and understanding an existing software system. In fact, some researchers try to adopt AspectJ into dynamic reverse engineering tools due to the powerful tracing capabilities of AspectJ. This research seeks to address the following question: Given a real situation where a software system is modified, what are advantages and disadvantages that exist in the tracing capabilities of AspectJ? I utilize AspectJ to understand the Reflexion Model, which has a real requirement of its modification. Further, I modify it with the information obtained in tracing the software system. Experimentally, I evaluate feasibility and ease of use of AspectJ for reverseengineering. Finally, I provide a discussion of the advantages and disadvantages of AspectJ for tracing software execution.
A (one-dimensional) Free Brunn-minkowski Inequality

– We present a one-dimensional version of the functional form of the geometric Brunn-Minkowski inequality in free (non-commutative) probability theory. The proof relies on matrix approximation as used recently by P. Biane and F. Hiai, D. Petz and Y. Ueda to establish free analogues of the logarithmic Sobolev and transportation cost inequalities for strictly convex potentials, that are recovered here from the Brunn-Minskowski inequality as in the classical case. The method is used to extend to the free setting the Otto-Villani theorem stating that the logarithmic Sobolev inequality implies the transportation cost inequality. It is used further to recover the free analogue of Shannon's entropy power inequality put forward by S. Szarek and D. Voiculescu. 1. Classical Brunn-Minkowski and functional inequalities In its multiplicative form, the classical geometric Brunn-Minkowski inequality indicates that for all bounded Borel measurable sets A, B in R n , and every θ ∈ (0, 1), vol θA + (1 − θ)B ≥ vol (A) θ vol (B) 1−θ where θA+(1−θ)B = {θx+(1−θ)y; x ∈ A, y ∈ B} and where vol (·) denotes the volume element in R n. Equivalently on functions (known as the Prékopa-Leindler theorem), whenever θ ∈ (0, 1) and u 1 , u 2 , u 3 are non-negative measurable functions on R n such that u 3 θx + (1 − θ)y ≥ u 1 (x) θ u 2 (y)
A New Hybrid Evolutionary-Based Data Clustering Using Fuzzy Particle Swarm Optimization

In this paper, a new hybrid evolutionary fuzzy-based particle swarm optimization algorithm is proposed for multi-dimensional data clustering. The proposed mechanism integrates an Evolutionary-based approach with a Fuzzy Particle Swarm data Clustering (EFPSC). Unlike other static and centralized clustering techniques, our proposed model can dynamically adapt to the changes and does not require a prior knowledge of the number of clusters in the datasets. It is more adaptive towards problems with dynamic changed information. It has a linear scaling behavior, which make it suitable for use on large data sets. In addition, swarm-based clustering has the capacity to work with any kind of data that can be described in terms of symmetric dissimilarities, and it imposes no assumptions on the shape of the clusters it works with. Finally, an important strength of the algorithm is its ability to automatically determine the number of clusters within the data. The adaptation scheme proposed in the algorithm make it possible to tune with structures exist within the data. One of the key advantages of the EFPSC is the selection of parameter values which offers the good combination of its setting that generates the efficient clustering results in the solution space. The principle of evolutionary approach including its properties like crossover and mutation made a concrete effect in the algorithm. In addition, the guiding rules, which are alignment, cohesion and separation rule, led to better solutions. Numerous experiments will be conducted using both synthetic and real datasets to evaluate the efficiency of the proposed model. Cluster validity approaches are used to quantitatively evaluate the results of the clustering algorithm.
Complete genome sequence of Riemerella anatipestifer type strain (ATCC 11845T)

Riemerella anatipestifer (Hendrickson and Hilbert 1932) Segers et al. 1993 is the type species of the genus Riemerella, which belongs to the family Flavobacteriaceae. The species is of interest because of the position of the genus in the phylogenetic tree and because of its role as a pathogen of commercially important avian species worldwide. This is the first completed genome sequence of a member of the genus Riemerella. The 2,155,121 bp long genome with its 2,001 protein-coding and 51 RNA genes consists of one circular chromosome and is a part of the GenomicEncyclopedia ofBacteria andArchaea project.
Review of structures and control of battery-supercapacitor hybrid energy storage system for electric vehicles

The energy storage system (ESS) is the heart of electric vehicles, which determines their efficiency, power, and driving range, etc. The emerging demand of modern electric vehicles often requires the ESS to preserve high energy density, along with the high peak power. Nowadays, batteries and supercapacitors, which could deliver high energy and power capability respectively, are commonly used as the ESS in industrial practice. A hybridization of them, the hybrid energy storage system (HESS), will potentially take their individual advantages, thus supplying a large burst of current and also storing enough energy to ensure a sufficiently long driving range. This paper reviews the state-of-the-art technology for batteries, supercapacitors, and the HESS. Various structures and topologies for the HESS are discussed, and control strategies are investigated.
Magnesium ions mitigate biofilm formation of Bacillus species via downregulation of matrix genes expression

The objective of this study was to investigate the effect of Mg2+ ions on biofilm formation by Bacillus species, which are considered as problematic microorganisms in the food industry. We found that magnesium ions are capable to inhibit significantly biofilm formation of Bacillus species at 50 mM concentration and higher. We further report that Mg2+ ions don't inhibit bacterial growth at elevated concentrations; hence, the mode of action of Mg2+ ions is apparently specific to inhibition of biofilm formation. Biofilm formation depends on the synthesis of extracellular matrix, whose production in Bacillus subtilis is specified by two major operons: the epsA-O and tapA operons. We analyzed the effect of Mg2+ ions on matrix gene expression using transcriptional fusions of the promoters for eps and tapA to the gene encoding β galactosidase. The expression of the two matrix operons was reduced drastically in response to Mg2+ ions suggesting about their inhibitory effect on expression of the matrix genes in B. subtilis. Since the matrix gene expression is tightly controlled by Spo0A dependent pathway, we conclude that Mg2+ ions could affect the signal transduction for biofilm formation through this pathway.
A Hybrid RNN Model for Cursive Offline Handwriting Recognition

This paper presents an approach to handwriting character recognition using recurrent neural networks. The method Multi-dimensional Recurrent Neural Network is evaluated against the classical techniques. To improve the model performance we propose the use of specialized Support Vector Machine combined with the original MDRNN in cases of confusion letters to avoid misclassifications. The performance of the method is verified in the C-Cube database and compared with different classifiers. The hierarchical combination presented promising results.
Partial Evaluation applied to Symbolic Pattern Matching with Intelligent Backtrack

Partial version presented at Workshop for Static Analysis (Bor-deaux France) october 1992. Abstract Symbolic pattern matching as ooered by Lisp dialects allows to scan Sexpressions, to verify their shape and to extract or compare subparts of them. A rich set of patterns exists and among them alternate patterns. Such patterns are handled through backtrack: a failure forces the pattern matcher to regress to its last point of choice and to try another branch. The usual na ve backtrack algorithm forgets all the informations acquired on the datum from the last point of choice up to the failure point. Our algorithm provides intelligent backtrack i.e. these informations are given back to the pattern matcher which can then use them to choose the appropriate backtrack point therefore eliminating redundant tests or dead-end branches. It turns out that this very simple idea \Don't throw any information painfully acquired", forms the basis of many clever algorithms such as Knuth-Morris-Pratt (KMP) or Boyer-Moore (BM) for strings, Hoomann-O'Donnell for trees etc. The other beneet comes from the great aptitude of our pattern matcher to be partially evaluated into eecient code: no eurekas are needed to show that we \rediscover" all the previously mentionned algorithms. The original results of this paper are: 1. a general symbolic pattern matching algorithm with intelligent backtrack. Contrasting with many published pattern matchers, ours ooers pattern variables, boolean connectives and unbounded tree-like repetition. 2. we show how failure informations are, most of the time, static (or safely approximated) thus giving great opportunities for our pattern matcher to well behave through partial evaluation. 3. we show that KMP, BM and others are instances of our pattern matcher depending on the exact order (left-to-right, top-to-bottom, etc.) along which composed patterns such as cons or tree match their sub-patterns. In conclusion, our pattern matcher appears as the incarnation of a simple but fundamental idea, can be tailored to particular domains such as strings, trees or nucleotides sequences, uses regular partial evaluation to automatically produce superior compilers and eventually provides an interesting framework to teach and compare known algorithms. Symbolic pattern matching is a popular technique of Lisp or ML families of languages. In these languages, data are usually tree-shaped so that compiling patterns into eecient code is of paramount importance. We based our study on the pattern language presented in Que90] and its associated denotational semantics. This pattern language allows to express a wide variety …
Cross-Country Heterogeneity and Endogeneity Bias in Life Satisfaction Estimations - Macro- and Micro-Level Evidence for Advanced, Developing and Transition Countries

The past literature found evidence for the presence of endogeneity issues due to individuals' heterogeneity and omitted time-varying variables in the relationship between income and life satisfaction on the micro-level for the UK (Powdthavee (2010)). The aim of the present contribution is to put these results in a broader context and to investigate the role of cross-country heterogeneity and income endogeneity in estimations on life satisfaction for sub-samples of advanced, developing and transition countries. The paper is innovative in merging this methodology with a multi-country setting, particularly considering transition and developing countries. Instrumenting for income, we find that cross-country heterogeneity is associated with a significantly lower estimate for the income effect, whereas controlling for endogeneity bias delivers significantly higher estimates. This points to a negative bias in the OLS estimate, and thus approves previous literature's findings. Capturing endogeneity appears to be essential in studies on life satisfaction. The negative bias apparently is highest for the sub-sample of transition countries and lowest for advanced countries. Most of the macro- and micro-level impacts are in line with the previous literature.
whole-genome molecular-interaction network Genetic-linkage mapping of complex hereditary disorders to a data

data Supplementary http://www.genome. org/cgi/content/full/gr.075622. 107/DC1 "Supplemental Research Data" References http://www.genome. org/cgi/content/full/18/7/1150#References This article cites 49 articles, 12 of which can be accessed free at: Open Access Freely available online through the Genome Research Open Access option. service Email alerting click here top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at the
Framework for studying Spatially Ordered

We propose a comprehensive research framework to empirically investigate complex visual inference tasks, support mechanisms (animated transition using morphing or vector overlay), and how spatial ability affects people’s learning and knowledge construction process from Spatially Ordered Treemaps (SOTs) as compared to conventional choropleth maps. This effort is inspired by the call of the new International Cartographic Association commission on Cognitive Visualization (CogVis), which proposes “developing a sound theoretical framework based upon cognition and perception discipline” (Fabrikant, 2011). The framework aims to explore SOTs in the context of both ‘in-vitro’ and ‘in-vivo’ settings. This study is grounded in cartography but also conforms to experimental design standards in perception and cognitive sciences.
Structural Relationship Analysis Among Variables of Mentoring Network Characteristics, Mentoring Functions, and the Working Attitudes of North Korean Defectors

Abstract This study was conducted with a purpose to examine the structural relationship among mentoring network characteristics, mentoring functions, and the work attitudes of North Korean defectors. One hundred twenty-one North Korean defectors participated in the study, who were involved in settlement programs in Seoul, Korea. Amos 20.0 and SPSS 21.0. were used for statistical analysis. According to the developmental network theory, mentoring network characteristics include: network range, number of networks, and network intimacy. Mentoring functions include: career function, role function, and psychosocial function. The results are as follows. Mentoring network characteristics have a positive (+) effect on mentoring functions (β = 0.267, C.R. = 2.329, p < .05) and mentoring functions have a positive (+) effect on work attitude (β = 0.703, C.R. = 6.748, p < .001). Mentoring characteristics also have an indirect effect on work attitude through mentoring functions (β = 0.188). The results of this study implicate the need for expanding mentoring networks and developing mentoring functions for North Korean defectors in both formal and informal social network areas.
Patients with auditory neuropathy/dys-synchrony lack efferent suppression of transient evoked otoacoustic emissions.

Function of the olivocochlear reflex, measured by suppression of transient evoked otoacoustic emissions, is assessed in nine patients with bilateral auditory neuropathy/dys-synchrony and compared to matched control subjects with normal auditory function. TEOAEs were acquired using 65 dB peak sound pressure linear clicks with and without the presence of broad-band noise presented binaurally, ipsilaterally, or contralaterally in a forward masking paradigm. Efferent suppression differed significantly between subject groups (p < .0001). Mean suppression was less than 0.22 dB across all suppressor noise conditions for the auditory neuropathy/dys-synchrony subjects. TEOAE suppression averaged 4.47 (binaural), 2.41 (ipsilateral), and 1.52 (contralateral) dB in the control subjects. Suppression characteristics across the three suppressor conditions were also assessed in one patient with unilateral auditory neuropathy/dys-synchrony. The results suggest that poor efferent responses are related to compromised afferent input to the OCR pathway and support the use of efferent suppression of otoacoustic emissions as a differential measure of auditory function in patients with auditory neuropathy/dys-synchrony.
The TIME-WAIT state in TCP and its effect on busy servers

Hosts providing important network services such as HTTP and FTP incur a per-connection memory load from TCP that can adversely affect their connection rate and throughput. The memory requirement is directly tied to the number of connections; caching and other sharing methods will not alleviate it. We have observed HTTP throughput reductions of as much as 50% under SunOS 4.1. 3 due to this loading. This paper advocates off-loading the memory requirements to the growing number of clients. This reduces server memory requirements as connection rate at that server grows due to increases in the number of clients and the bandwidth available on the network. These approaches control server memory load better with growing client load than per-transaction techniques such as persistent HTTP connections. These approaches also interoperate with persistent connections to take advantage of their other benefits. This paper describes the causes of the memory loading, called TIME-WAIT loading, and defines three methods of alleviating it that scale with increasing number of clients. We present measurements of the systems and a comparison of their properties.
A panel data approach for fashion sales forecasting

Sales forecasting is an important problem in fashion retail operations. In this paper, we propose a novel panel data based particle-filter (PDPF) model to conduct fashion sales forecasting. We evaluate the performance of proposed model in terms of sales quantity and color trend prediction by using real data from the fashion industry. The experimental results provide novel insights and practical guidance to operations managers on the use of panel data for fashion sales forecasting.
Transcription Factor Fos-Related Antigen-2 Induces Progressive Peripheral Vasculopathy in Mice Closely Resembling Human Systemic Sclerosis

Background— Microvascular damage is one of the first pathological changes in systemic sclerosis. In this study, we investigated the role of Fos-related antigen-2 (Fra-2), a transcription factor of the activator protein-1 family, in the peripheral vasculopathy of systemic sclerosis and examined the underlying mechanisms. Methods and Results— Expression of Fra-2 protein was significantly increased in skin biopsies of systemic sclerosis patients compared with healthy controls, especially in endothelial and vascular smooth muscle cells. Fra-2 transgenic mice developed a severe loss of small blood vessels in the skin that was paralleled by progressive skin fibrosis at 12 weeks of age. The reduction in capillary density was preceded by a significant increase in apoptosis in endothelial cells at week 9 as detected by immunohistochemistry. Similarly, suppression of Fra-2 by small interfering RNA prevented human microvascular endothelial cells from staurosporine-induced apoptosis and improved both the number of tubes and the cumulative tube lengths in the tube formation assay. In addition, cell migration in the scratch assay and vascular endothelial growth factor–dependent chemotaxis in a modified Boyden chamber assay were increased after transfection of human microvascular endothelial cells with Fra-2 small interfering RNA, whereas proliferation was not affected. Conclusions— Fra-2 is present in human systemic sclerosis and may contribute to the development of microvasculopathy by inducing endothelial cell apoptosis and by reducing endothelial cell migration and chemotaxis. Fra-2 transgenic mice are a promising preclinical model to study the mechanisms and therapeutic approaches of the peripheral vasculopathy in systemic sclerosis.
NvCloudIDS: A security architecture to detect intrusions at network and virtualization layer in cloud environment

Today we are living in the era of Cloud Computing where services are provisioned to users on demand and on a pay-per-use basis. On oneside, Cloud Computing has made things easier but it has also opened new doors for cyber attackers. In this paper, we propose an efficient security architecture named as NvCloudIDS to deal with intrusions at Network and Virtualization layer in Cloud Environment. NvCloudIDS performs the behavioral analysis of network traffic coming to or going from Cloud Networking Server (CNS) and provides first level of defense from intrusions at network level. It also performs Virtual Machine (VM) memory introspection and VM traffic analysis at hypervsior layer of Cloud Compute Server (CCoS) and provides second level of defense at virtualization level. The architecture of NvCloudIDS is primarily designed to improve the robustness and power of attack detection of IDS by leveraging Virtual Machine Introspection (VMI) and Machine learning techniques. The framework is validated with recent intrusion dataset (UNSW-NB) and malware binaries collected from research centers and the results seem to be promising.