Miracle-dz/UniFAR-FTUs huggingface dataset:
Circuit Level Modeling of Extra Combinational Delays in SRAM-Based FPGAs Due to Transient Ionizing Radiation

This paper presents circuit level models that explain the extra combinational delays in a SRAM-based FPGA (Virtex-5) due to Single Event Upsets (SEUs). Several scenarios of extra combinational delays are simulated based on the circuit architecture of the FPGA core, namely Configurable Logic Blocks (CLBs) and routing. It is found that the main delay contribution originates from extra interconnection lines that are unintentionally connected to the main circuit path via pass transistors activated by SEUs. Moreover, longer delay faults observed on Input/Ouput Blocks (IOBs) due to SEU were investigated through simulations. In all cases, results are in close agreement with the ones obtained experimentally while exposing the FPGA to proton irradiation.
Clathrin‐Coated Pits: Vive La Différence?

Because of the discovery of coated pits and vesicles more than 40 years ago and the identification of clathrin as a major component of the coat, it has been assumed that clathrin‐coated pits (CCPs) are responsible for the uptake of most plasma membrane receptors undergoing internalization. The recent molecular characterization of clathrin‐independent routes of endocytosis confirms that several alternative endocytic pathways operate at the plasma membrane of mammalian cells. This heterogeneous view of endocytosis has been expanded still further by recent studies, suggesting that different subpopulations of CCPs responsible for the internalization of specific sets of cargo may coexist. In the present review, we have discussed the experimental evidence in favor or against the existence of distinct parallel clathrin‐dependent pathways at the plasma membrane.
Comparative Analysis of the Relationship between Job Burnout and General Health of Male and Female High School Teachers in Zabol

The aim of this study was to determine the relationship between general health and job burnout of male and female high school teachers in Zabol. The research followed a cross-correlational method. The statistical population included all male and female high school teachers in the academic year 2014 in Zabol. In this study, considering participants’ gender, stratified random sampling method was used. Data collecting was performed through applying the Maslach’s Burnout Inventory and General Health Questionnaire (GHQ-28). The content validity was checked and alpha coefficients for the variables of general health and job burnout were 0.92 and 0.81, respectively. In this research study, Pearson correlation coefficient, regression analysis, and independent t-test were conducted to analyze the hypotheses using SPSS v.21. Results revealed that general health and its dimensions were significantly and positively correlated with job burnout of male and female high school teachers in Zabol. Additionally, emotional exhaustion and depersonalization were significantly and negatively related to general health. Regarding the priority of the predictor variables of teachers’ general health, in the first step, emotional exhaustion, in the second step, depersonalization and in the third step, lack of personal accomplishment entered into the prediction model, these three variables together predicted 21% of variations in general health. Moreover, general health and job burnout were not significantly correlated in terms of gender.
Improved Related-key Attacks on DESX and DESX+

Abstract In this article, we present improved related-key attacks on the original DESX, and DESX+, a variant of the DESX with its pre- and post-whitening XOR operations replaced with addition modulo 264. Compared to previous results, our attack on DESX has reduced text complexity, while our best attack on DESX+ eliminates the memory requirements at the same processing complexity.
ARNold: A web tool for the prediction of Rho-independent transcription terminators

Rho-independent termination is a major mechanism of transcriptional arrest in bacteria that controls both normal 3’ termination and a wide array of regulatory attenuation events. Detecting Rho-independent terminators is an obliged step in the annotation of bacterial operons. Yet, while several efficient algorithms are available for this purpose, there is no freely available web site enabling a rapid scanning of raw genomic sequence for the presence of terminators. Here we implemented such a web server, which combines two published prediction algorithms, Erpin and RNAmotif, and performs nearly as well as more complex procedures while being accessible to the non specialist. The ARNold Web server is available at : http://rna.igmors. u-psud.fr/toolbox/arnold/
Regulation of metabolism and inflammation in liver and skeletal muscle

Type 2 diabetes (T2D) is a complex metabolic disorder characterised by hyperinsulinaemia, hyperglycaemia and dyslipidaemia. Obesity is the major risk factor for development of insulin resistance, a main predictor of T2D. Recent evidence indicates that nutrient excess and obesity lead to chronic low-grade inflammation in metabolic tissues, which further promotes insulin resistance. AMP-activated protein kinase (AMPK), a central regulator of energy homeostasis, increases insulin sensitivity in liver and skeletal muscle and lowers the plasma glucose level, thus reverting the major metabolic disturbances in T2D. Serine/threonine protein kinase 25 (STK25) was found to be differentially expressed in skeletal muscle, comparing AMPKγ3 (Prkag3-/-) knockout mice to wild-type littermates, indicating a potential role for STK25 in regulation of energy homeostasis in skeletal muscle. In Paper I, genes regulating the circadian rhythm (Cry2, Nr1d1 and Bhlhb2) were shown to be differentially expressed in skeletal muscle from wild-type mice treated with the AMPK agonist 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR), while they remained unaltered in AMPKγ3 knockout mice. Furthermore, the respiratory exchange ratio (RER) was elevated during the dark period of observation in wild-type mice reflecting a diurnal shift in substrate utilisation from lipid oxidation at daytime to carbohydrate utilisation during nighttime. However, no day/night shift in the RER profile was observed in Prkag3-/- littermates. Thus, this study suggests that APMK, as a central energy sensor, could be one important node linking energy metabolism to the circadian clock function. In Papers II and III, the AMPK agonists, AICAR and metformin, are shown to markedly decrease the expression of IL-6-induced serum amyloid A (SAA) cluster genes, haptoglobin and suppressor of cytokine signalling 3 (SOCS3) in the human hepatocyte cell line HepG2. By repressing AMPK activity with small interfering (si)RNA the inhibitory effect of AMPK on SAA expression by both AICAR and metformin was reversed (Paper II), indicating that the effect of the agonists is mediated by AMPK activation. Further, we show that AMPK interferes with IL-6 signalling by decreasing IL-6-induced phosphorylation of Janus kinase 1 (JAK1), src homology 2 domain containing protein tyrosine phosphatase 2 (SHP2) and signal transducer and activator of transcription 3 (STAT3) in HepG2 cells (Papers II and III). In addition, pharmacological activation of AMPK was shown to repress IL-6-induced inflammation in vivo by suppression of STAT3 activity in mouse liver (Paper III). This suggests that AMPK is an important intracellular link between metabolic and inflammatory pathways in liver. In Paper IV we show that partial reduction of STK25 by siRNA increases uncoupling protein 3 (UCP3), glucose transporter 1 (GLUT1), GLUT4 and hexokinase 2 (HK2) in the rodent myoblast cell line L6, both at mRNA and protein level. Correspondingly, the rates of palmitate oxidation and insulin-stimulated glucose uptake were elevated…
Single camera based location estimation with dissimilarity measurement

In this paper we present a method that uses a single camera as a passive sensor for location estimation. The implementation is focused on the image processing techniques and dissimilarity measurement. Experimental results have indicated that good state estimates could be obtained, considering very little use of visual information. Consequently, popular cameras can be perceived as a simple and interesting solution for visual odometry and present very promising possibility in autonomous navigation.
Profiling and analyzing the I/O performance of NoSQL DBs

The advent of the so-called NoSQL databases has brought about a new model of using storage systems. While traditional relational database systems took advantage of features offered by centrally-managed, enterprise-class storage arrays, the new generation of database systems with weaker data consistency models is content with using and manag- ing locally attached individual storage devices and providing data reliability and availability through high-level software features and protocols. This tutorial aims to review the architecture of selected NoSQL DBs to lay the foundations for understanding how these new DB systems behave. In particular, it focuses on how (in)efficiently these new systems use I/O and other resources to accomplish their work. The tutorial examines the behavior of several NoSQL DBs with an emphasis on Cassandra - a popular NoSQL DB system. It uses I/O traces and resource utilization profiles captured in private cloud deployments that use both dedicated directly attached storage as well as shared networked storage.
Very Shallow Water Bathymetry Retrieval from Hyperspectral Imagery at the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

A number of institutions, including the Naval Research Laboratory (NRL), have developed look up tables for remote retrieval of bathymetry and in-water optical properties from hyperspectral imagery (HSI) [6]. For bathymetry retrieval, the lower limit is the very shallow water case (here defined as < 2m), a depth zone which is not well resolved by many existing bathymetric LIDAR sensors, such as SHOALS [4]. The ability to rapidly model these shallow water depths from HSI directly has potential benefits for combined HSI/LIDAR systems such as the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) [10]. In this study, we focused on the validation of a near infra-red feature, corresponding to a local minimum in absorption (and therefore a local peak in reflectance), which can be correlated directly to bathymetry with a high degree of confidence. Compared to other VNIR wavelengths, this particular near-IR feature corresponds to a peak in the correlation with depth in this very shallow water regime, and this is a spectral range where reflectance depends primarily on water depth (water absorption) and bottom type, with suspended constituents playing a secondary role.
Dynamical Constraints on Using Precise Spike Timing to Compute in Recurrent Cortical Networks

Several recent models have proposed the use of precise timing of spikes for cortical computation. Such models rely on growing experimental evidence that neurons in the thalamus as well as many primary sensory cortical areas respond to stimuli with remarkable temporal precision. Models of computation based on spike timing, where the output of the network is a function not only of the input but also of an independently initializable internal state of the network, must, however, satisfy a critical constraint: the dynamics of the network should not be sensitive to initial conditions. We have previously developed an abstract dynamical system for networks of spiking neurons that has allowed us to identify the criterion for the stationary dynamics of a network to be sensitive to initial conditions. Guided by this criterion, we analyzed the dynamics of several recurrent cortical architectures, including one from the orientation selectivity literature. Based on the results, we conclude that under conditions of sustained, Poisson-like, weakly correlated, low to moderate levels of internal activity as found in the cortex, it is unlikely that recurrent cortical networks can robustly generate precise spike trajectories, that is, spatiotemporal patterns of spikes precise to the millisecond timescale.
DocuBurst: Visualizing Document Content using Language Structure

Textual data is at the forefront of information management problems today. One response has been the development of visualizations of text data. These visualizations, commonly based on simple attributes such as relative word frequency, have become increasingly popular tools. We extend this direction, presenting the first visualization of document content which combines word frequency with the human‐created structure in lexical databases to create a visualization that also reflects semantic content. DocuBurst is a radial, space‐filling layout of hyponymy (the IS‐A relation), overlaid with occurrence counts of words in a document of interest to provide visual summaries at varying levels of granularity. Interactive document analysis is supported with geometric and semantic zoom, selectable focus on individual words, and linked access to source text.
Predicting Disease-Related Proteins Based on Clique Backbone in Protein-Protein Interaction Network

Network biology integrates different kinds of data, including physical or functional networks and disease gene sets, to interpret human disease. A clique (maximal complete subgraph) in a protein-protein interaction network is a topological module and possesses inherently biological significance. A disease-related clique possibly associates with complex diseases. Fully identifying disease components in a clique is conductive to uncovering disease mechanisms. This paper proposes an approach of predicting disease proteins based on cliques in a protein-protein interaction network. To tolerate false positive and negative interactions in protein networks, extending cliques and scoring predicted disease proteins with gene ontology terms are introduced to the clique-based method. Precisions of predicted disease proteins are verified by disease phenotypes and steadily keep to more than 95%. The predicted disease proteins associated with cliques can partly complement mapping between genotype and phenotype, and provide clues for understanding the pathogenesis of serious diseases.
Solving the traveling salesman problem with a distributed branch-and-bound algorithm on a 1024 processor network

This paper is the first to present a parallelization of a highly efficient best-first branch-and-bound algorithm to solve large symmetric traveling salesman problems on a massively parallel computer containing 1024 processors. The underlying sequential branch-and-bound algorithm is based on 1-tree relaxation. The parallelization of the branch-and-bound algorithm is fully distributed. Every processor performs the same sequential algorithm but on a different part of the solution tree. To distribute subproblems among the processors we use a new direct-neighbor dynamic load-balancing strategy. The general principle can be applied to all other branch-and-bound algorithms leading to an "automatic" parallelization. At present we can efficiently solve traveling salesman problems up to a size of 318 cities on networks of up to 1024 transputers. On hard problems we achieve an almost linear speed-up. <<ETX>>
Chinese text word-segmentation considering semantic links among sentences

Tokenization of Chinese input text into words is a necessary step to realize a Mandarin Chinese text-to-speech. Several word-segmentation algorithms were developed in which linguistic information are combined with statistical ones or with heuristic rules. In this paper we investigate in the advantages that can arise when semantic relation among sentences is taken into account during the word segmentation process. The algorithm we propose shows how this kind of semantic information could improve the performances of a word segmentation algorithm.
Expression of neonatal Fc receptor in the eye.

PURPOSE The neonatal Fc receptor (FcRn) plays a critical role in the homeostasis and degradation of immunoglobulin G (IgG). It mediates the transport of IgG across epithelial cell barriers and recycles IgG in endothelial cells back into the bloodstream. These functions critically depend on the binding of FcRn to the Fc domain of IgG. The half-life and distribution of intravitreally injected anti-VEGF molecules containing IgG-Fc domains might therefore be affected by FcRn expressed in the eye. In order to establish whether FcRn-Fc(IgG) interactions may occur in the eye, we studied the mRNA and protein distribution of FcRn in postmortem ocular tissue. METHODS We used qPCR to study mRNA expression of the transmembrane chain of FcRn (FCGRT) in retina, optic nerve, RPE/choroid plexus, ciliary body/iris plexus, lens, cornea, and conjunctiva isolated from mouse, rat, pig, and human postmortem eyes and used immunohistochemistry to determine the pattern of FcRn expression in FCGRT-transgenic mouse and human eyes. RESULTS In all four tested species, Fcgrt mRNA was expressed in the retina, RPE/choroid, and the ciliary body/iris, while immunohistochemistry documented FcRn protein expression in the ciliary body epithelium, macrophages, and endothelial cells in the retinal and choroidal vasculature. CONCLUSIONS Our results demonstrate that FcRn has the potential to interact with IgG-Fc domains in the ciliary epithelium and retinal and choroidal vasculature, which might affect the half-life and distribution of intravitreally injected Fc-carrying molecules.
Annotating Clinical Events in Text Snippets for Phenotype Detection

Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare. NLP systems that analyze the narrative data embedded in clinical artifacts such as x-ray reports can help support early detection. In this paper, we consider the importance of identifying the change of state for events - in particular, clinical events that measure and compare the multiple states of a patients health across time. We propose a schema for event annotation comprised of five fields and create preliminary annotation guidelines for annotators to apply the schema. We then train annotators, measure their performance, and finalize our guidelines. With the complete guidelines, we then annotate a corpus of snippets extracted from chest x-ray reports in order to integrate the annotations as a new source of features for classification tasks.
Mapping the Minds of Suicide Bombers using Linguistic Methods: The Corpus of Palestinian Suicide Bombers' Farewell Letters (CoPSBFL)

abstract This study proposes a novel methodology for the study of the mindset, motives, and cognitive style of individual suicide bombers in Israel/Palestine, based on a comprehensive corpus of personal farewell letters (which also serve as last wills) that were written by suicide bombers to their family during the Second Intifada (2000–2006). To avoid privileging certain a priori sentiments, motivations, or concepts over others, I used a programmatic “bottom-up” sequence of quantitative psycholinguistic procedures, in which prominent themes or concepts from one level of analysis are further qualified and contextualized in the next. This afforded a minimally biased view of the cognitive content of Palestinian suicide bombers, including the sentiments, motivations, and concepts that they were more preoccupied with, and the context in which these ideas were expressed. The results are largely consistent with theories of political violence that place pro-social sentiments at the forefront of the motivations for suicide terrorism, and paramount to antisocial sentiments such as hatred and revenge. Since the linguistic patterns that were uncovered in this analysis cannot be controlled consciously, and the farewell letters of suicide bombers have rarely been rigorously analyzed linguistically, this study may provide an unprecedented glimpse into the cognitive style and content of individual suicide bombers—a glimpse that is minimally biased by political, partisan, or sectarian preconceptions.
The lifespan , accessibility and archiving of dynamic documents

Today most Web documents are created dynamically. These documents don’t exist in reality; they are created automatically and they disappear after consultation. This paper surveys the problems related to the lifespan, accessibility and archiving of these pages. It introduces definitions of the different categories of dynamics documents. It describes also the results of our statistical experiments performed to evaluate their lifespan.
Porous silicon cantiliver for DNA immobilization and detection

In this project, we employ a microcantilever based mechanical transduction DNA detection approach. We believe that the method to traduce and amplify signal has much wider implications for many binding assays in chemistry and biology, such as that in immunoassay. The core idea is to measure the bending and the stress of a microcantilever induced by DNA hybridization. A porous polysilicon cantilever is used to simultaneously immobilize and detect DNA. Mechanical simulations are needed to study the mechanical behavior of the porous cantilever prior to manufacturing and conducting biological testing.
Management of carcinoma in situ of the bladder: best practice and recent developments

Management of carcinoma in situ of the bladder remains a complex and challenging endeavor due to its high rate of recurrence and progression. Although it is typically grouped with other nonmuscle invasive bladder cancers, its higher grade and aggressiveness make it a unique clinical entity. Intravesical bacillus Calmette-Guérin is the standard first-line treatment given its superiority to other agents. However, high rates of bacillus Calmette-Guérin failure highlight the need for additional therapies. Radical cystectomy has traditional been the standard second-line therapy, but additional intravesical therapies may be more appealing for non-surgical candidates and patients refusing cystectomy. The subject of this review is the treatment strategies and available therapies currently available for carcinoma in situ of the bladder. It discusses alternative intravesical treatment options for patients whose condition has failed to respond to bacillus Calmette-Guérin therapy and who are unfit or unwilling to undergo cystectomy.
Title An adaptive RBF neural network model for evoked potentialestimation

Rights ©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. I Abstrucf-A method for evoked potential estimation based on a n adaptive radial basis function neural network (RBFNN) model is presented in this paper. During training, the number of hidden nodes (number of RBFs) and model parameters are adjusted to fit the target signal which is obtained by averaging. In order to reduce computational complexity and the influence of noise in estimating single-trial evoked potential (EP), the number of hidden nodes is also minimized in training. After training, both peak latency and amplitude, being distinctive features of an EP, are characterized by the center and height of the corresponding RBF respectively. In EP estimation, an adaptive algorithm is employed to track the peaks from trial to trial by adapting the center and height of RBFs directly. The adaptive RBFNN is tested on a computer simulated data set and clinical EP recording. O u r proposed algorithm is suitable for tracking EP waveform variations. estimation, adaptive signal processing.