Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative Analysis of Embedded FPGA-Architectures for Arithmetic

Embedding FPGAs (eFPGAs) in modern SoCs provides a high amount of flexibility while high-throughput digital signal processing algorithms can be realised efficiently. An analysis of eFPGA architectures and corresponding structural elements is presented to determine the optimisation potential for eFPGAs tailored to an arithmetic oriented application domain. The applied design flow incorporating an automated layout generation approach and the utilised simulation environment is discussed. An eFPGA macro designed and realised for arithmetic oriented applications is quantitatively compared to an actual commercial FPGA in terms of area, power consumption and delay time. It can be shown that this optimised eFPGA macro outperforms a state of the art commercial device for a couple of arithmetic operators which are commonly applied in arithmetic datapaths
Doxorubicin Synergizes with 34.5ENVE to Enhance Antitumor Efficacy against Metastatic Ovarian Cancer

Purpose: Novel therapeutic regimens are needed to improve dismal outcomes associated with late-stage ovarian cancer. Oncolytic viruses are currently being tested in patients with ovarian cancer. Here, we tested the therapeutic efficacy of combining doxorubicin with 34.5ENVE, an oncolytic herpes simplex virus transcriptionally driven by a modified stem cell–specific nestin promoter, and encoding for antiangiogenic Vasculostatin-120 (VStat120) for use against progressive ovarian cancer. Experimental Design: Antitumor efficacy of 34.5ENVE was assessed in ovarian cancer cell lines, mouse ascites–derived tumor cells, and primary patient ascites–derived tumor cells by standard MTT assay. The ability of conditioned medium derived from 34.5ENVE-infected ovarian cancer cells to inhibit endothelial cell migration was measured by a Transwell chamber assay. Scope of cytotoxic interactions between 34.5ENVE and doxorubicin were evaluated using Chou–Talalay synergy analysis. Viral replication, herpes simplex virus receptor expression, and apoptosis were evaluated. Efficacy of oncolytic viral therapy in combination with doxorubicin was evaluated in vivo in the murine xenograft model of human ovarian cancer. Results: Treatment with 34.5ENVE reduced cell viability of ovarian cancer cell lines, and mouse ascites–derived and patient ascites–derived ovarian tumor cells. Conditioned media from tumor cells infected with 34.5ENVE reduced endothelial cell migration. When combined with doxorubicin, 34.5ENVE killed synergistically with a significant increase in caspase-3/7 activation, and an increase in sub-G1 population of cells. The combination of doxorubicin and 34.5ENVE significantly prolonged survival in nude mice bearing intraperitoneal ovarian cancer tumors. Conclusions: This study indicates significant antitumor efficacy of 34.5ENVE alone, and in combination with doxorubicin against disseminated peritoneal ovarian cancer. Clin Cancer Res; 20(24); 6479–94. ©2014 AACR.
Residues and Telescopers for Rational Functions

We give necessary and sufficient conditions for the existenceof telescopers for rational functions of two variables in the continuous, discrete and q-discrete settings and characterize which operators can occur as telescopers. Using this latter characterization, we reprove results of Furstenberg and Zeilberger concerning diagonals of power series representing rational functions. The key concept behind these considerations is a generalization of the notion of residue in the continuous case to an analogous concept in the discrete and q-discrete cases.
Detection and storage of multivariate temporal sequences by spiking pattern reverberators

We consider networks of spiking coincidence detectors in continuous time. A single detector is a finite state machine that emits a pulsatile signal whenever the number incoming inputs exceeds a threshold within a time window of some tolerance width. Such finite state models are well-suited for hardware implementations of neural networks, as on integrated circuits (IC) or field programmable arrays (FPGAs) but they also reflect the natural capability of many neurons to act as coincidence detectors. We pay special attention to a recurrent coupling structure, where the delays are tuned to a specific pattern. Applying this pattern as an external input leads to a self-sustained reverberation of the encoded pattern if the tuning is chosen correctly. In terms of the coupling structure, the tolerance and the refractory time of the individual coincidence detectors, we determine conditions for the uniqueness of the sustained activity, i.e., for the funcionality of the network as an unambiguous pattern detector. We also present numerical experiments, where the functionality of the proposed pattern detector is demonstrated replacing the simplistic finite state models by more realistic Hodgkin-Huxley neurons and we consider the possibility of implementing several pattern detectors using a set of shared coincidence detectors. We propose that inhibitory connections may aid to increase the precision of the pattern discrimination.
Ziegler Extension Spaces of Oriented Matr iods

We study the space of all extensions of a real hyperplane arrangement by a new pseudo-hyperplane, and, more generally, of an oriented matroid by a new element. The question whether this space has the homotopy type of a sphere is a special case of the "Generalized Baues Problem" of Billera, Kapranov & Sturmfels, via the Bohne-Dress Theorem on zonotopal tilings. We prove that the extension space is spherical for the class of strongly euclidean oriented matroids. This class includes the alternating matroids and all oriented matroids of rank at most 3 or of corank at most 2. In general it is not even known whether the extension space is connected. We show that the subspace of realizable extensions is always connected but not necessarily spherical.
Testing the predictability of stock markets on real data

Stock trading, one of the most common economic activities in the world where the values of stocks change quickly over time. Some are able to turn great profits while others turn great losses on stock trading. Being able to predict changes could be of great help in maximising chances of profitability. In this report we want to evaluate the predictability of stock markets using Artificial Neural Network models, Adaptive Neuro-Fuzzy inference systems and Autoregressive-moving-average models. The markets used is Stockholm, Korea and Barcelona Stock Exchange. We are using two test scenarios, one which consists of incrementing the initial 25 days of training with 5 days until the end of the stock year, and the other one consisting of moving the 25 training days, 5 days until the stock year is over. Our results consists of showing how the predictions look like on the Stockholm market for all the methods and test scenarios and also show graphs of the error rate (percentage) of all methods and test cases in each of the markets. Also a table showing the average error of the methods and test cases, to be able to evaluate which one will perform the best. Our results shows that the ANFIS with at least 50 days of training will perform the best.
A Proficient Domain Based Approach for Mining Frequent Pattern for Medicine database

Frequent patterns are usually generated by determining the support count of every candidate item set against given transactions. Several methods have been developed for generating frequent patterns. The objectives of various methods are to avoid too many unnecessary candidate generations, to ensure no frequent item sets are left and to reduce same candidate generation. Domain based frequent pattern mining is different from traditional frequent pattern mining. Domain based frequent pattern mining is a growing method which first finds frequent data items from main domain (top most) and then subsequently repeat the mining process into their sub domain and refine the item set at each level with support count . For example in medical Science there are several domains like cancer, diabetes, fever etc Cancer domain again contains many sub domains like lung cancer, colorectal cancer, breast cancer, prostate cancer, pancreatic cancer and bladder cancer. In this paper we introduce a new technique for mining frequent pattern based on domain and sub domain. We use the mapping form high level to low level by using concepts hierarchies. Keyword:- frequent pattern Domain, sub domain, children, growingly, refine
A PaaS to Support Collaborations through Service Composition

The French project OpenPaaS aims at providing a social platform to help companies initiating and managing their collaborations. Nowadays, data exchange is no sufficient and collaborations need to be supported for every interaction between the actors of the collaboration. This paper concerns a PaaS in charge of supporting the deduction of collaborative business processes that involve subscribing organizations of the PaaS. In order to be applicable to industrial needs, the process deduction should require the minimum knowledge from users: collaborative objectives and a repository of all the capabilities made available by the subscribing organizations. Functional and non-functional gaps are filled simultaneously when building the process: (i) a collaborative ontology allows finding sets of capacities able to achieve the collaborative objectives and (ii) a non-functional assessment builds the optimal process i.e. the sequences of activities and also the set of partners with their corresponding capabilities. This article focuses on the first point and brings a methodology based on semantics to deduce a collaborative process.
Habitual responding for alcohol depends upon both AMPA and D2 receptor signaling in the dorsolateral striatum

Chronic alcohol self-administration leads to alcohol-seeking behavior that is habitual and insensitive to changes in the value of the earned alcohol. Such behavior has been shown to rely on the dorsolateral region of the striatum in rats but the specific pharmacological control of output from this region is not yet understood. In the following experiments rats were trained to self-administer unsweetened 10% (v/v) ethanol in daily sessions for 8 weeks prior to testing for sensitivity to outcome devaluation. We examined the role of glutamatergic AMPA-receptor activation by testing the effects of the antagonist NBQX (0.3 and 1.0 μg/μl) infused specifically into the dorsolateral striatum (DLS) before devaluation testing. In a separate group of rats we examined the role of dopaminergic D2-receptor activation using the D2-receptor antagonist raclopride (0.2 and 1.0 μg/μl) infused into the DLS before devaluation testing. Following control (saline) infusions rats’ lever-press performance was insensitive to devaluation of ethanol thus showing evidence of habitual responding. NBQX and racolpride each restored goal-directed control of responding at doses that did not impair overall lever-press rates. These data demonstrate that expression of habitual alcohol seeking relies on glutamatergic inputs to the DLS and D2 receptors within the DLS.
Right-Wing Authoritarianism and Social Dominance Orientation: Their Roots in Big-Five Personality Fa

Extending previous research on the relation of Big-Five personality with right-wing authoritarianism and social dominance orientation, we examined the relationships of Big Five facet scores rather than factor scores. The results (N = 332) of stepwise regression analyses showed that Openness to Experience was the only significant predictor of RWA on factor level, whereas Values and Ideas were significant predictors on facet level. A similar analysis of SDO showed that Agreeableness and Openness to Experience contributed significantly to the prediction on factor level, whereas Tender-Mindedness and Values were the best significant predictors on facet level. The prediction based on facet scores showed to be more accurate that the prediction based on factor scores. A random split of the sample confirmed the robustness of the findings. The results are discussed against the background of the personality and the social psychology approaches to explaining individual differences in prejudice.
Topic models for automatic image annotation

Modern image retrieval systems, which allow users to use textual queries and perform content-based image retrieval (CBIR), depend greatly on Automatic Image Annotation. Many models namely unsupervised topic models have successfully been applied in text analysis and are showing encouraging results in automatic image annotation. In this work, we first describe the basic topic models: the latent semantic analysis (LSA), the probabilistic latent semantic analysis (PLSA) and the latent Dirichlet allocation (LDA). Since these models assume that documents are represented as “bag of words” in text analysis, we then describe BOV-based image representation, an analogous representation adapted to image annotation. Based on SIFT technique followed by vectorial quantization, this representation allow image to be as “bag of visterms” (BOV). Finally, we describe some advanced topic models: GM-PLSA, GM-LDA and CORR-LDA, which are used in image annotation. Keywordsautomatic image annotation; topic models ; CBIR ; SIFT ; BOV.
Extended Statecharts : A Specification Formalism for High Level Design *

This paper introduces Extended Statecharts as a comprehensive modeling mechanism for high level systems design. Extended Statecharts allow for the explicit representation of declarable problem-specific system soft failures, thereby allowing for failure related information to be incorporated into the high level system design. Temporal logic is used for verification of important design properties. An example of an assembly process is used to illustrate the capabilities of Extended Statecharts.
Glutamine Reduces the Apoptosis of H9C2 Cells Treated with High-Glucose and Reperfusion through an Oxidation-Related Mechanism

Mitochondrial overproduction of reactive oxygen species (ROS) in diabetic hearts during ischemia/reperfusion injury and the anti-oxidative role of glutamine have been demonstrated. However, in diabetes mellitus the role of glutamine in cardiomyocytes during ischemia/reperfusion injury has not been explored. To examine the effects of glutamine and potential mechanisms, in the present study, rat cardiomyoblast H9C2 cells were exposed to high glucose (33 mM) and hypoxia-reoxygenation. Cell viability, apoptosis, intracellular glutamine, and mitochondrial and intracellular glutathione were determined. Moreover, ROS formation, complex I activity, membrane potential and adenosine triphosphate (ATP) content were also investigated. The levels of S-glutathionylated complex I and mitochondrial apoptosis-related proteins, including cytochrome c and caspase-3, were analyzed by western blot. Data indicated that high glucose and hypoxia-reoxygenation were associated with a dramatic decline of intercellular glutamine and increase in apoptosis. Glutamine supplementation correlated with a reduction in apoptosis and increase of glutathione and glutathione reduced/oxidized ratio in both cytoplasm and mitochondria, but a reduction of intracellular ROS. Glutamine supplementation was also associated with less S-glutathionylation and increased the activity of complex I, leading to less mitochondrial ROS formation. Furthermore, glutamine supplementation prevented from mitochondrial dysfunction presented as mitochondrial membrane potential and ATP levels and attenuated cytochrome c release into the cytosol and caspase-3 activation. We conclude that apoptosis induced by high glucose and hypoxia-reoxygenation was reduced by glutamine supplementation, via decreased oxidative stress and inactivation of the intrinsic apoptotic pathway.
Somatostatin-secreting Pheochromocytoma Mimicking Insulin-dependent Diabetes Mellitus

We herein present the findings of a 42-year-old woman with either adrenal pheochromocytoma or intraadrenal paraganglioma that simultaneously secreted somatostatin, thus mimicking insulin-dependent diabetes mellitus. Pheochromocytoma was clinically diagnosed based on scintigraphy, elevated catecholamine levels, and finally a histopathological analysis of resected specimens. The patient had diabetic ketosis, requiring 40 U insulin for treatment. Following laparoscopic adrenalectomy, insulin therapy was discontinued and the urinary c-peptide levels changed from 5.5-9.0 to 81.3-87.0 μg/day. Histologically, somatostatin immunoreactivity was detected and the somatostatin levels were elevated in the serum-like fluid obtained from the tumor. Clinicians should be aware of the possible occurrence of simultaneous ectopic hormone secretion in patients with pheochromocytoma.
Audiovisual speech integration in pervasive developmental disorder: evidence from event-related potentials.

BACKGROUND Integration of information from multiple sensory sources is an important prerequisite for successful social behavior, especially during face-to-face conversation. It has been suggested that communicative impairments among individuals with pervasive developmental disorders (PDD) might be caused by an inability to integrate synchronously presented visual and auditory cues. METHOD We investigated audiovisual integration of speech stimuli among a group of high-functioning adult PDD individuals and age- and IQ-matched controls using electroencephalography, measuring both early pre-phonological, as well as late phonologically driven integration. RESULTS Pre-phonological AV interactions are intact, while AV interactions corresponding to more complex phonological processes are impaired in individuals with PDD. CONCLUSIONS The present findings argue for a pattern of impairments on tasks related to complex audiovisual integration combined with relative sparing of low-level integrational abilities. This combination may very well contribute to the communicative disabilities which are typical for the disorder.
THE PERFORMANCE OF BAA BEFORE AND AFTER PRIVATIZATION

This paper discusses the performance of the former British Airports Authority (BAA) before and after privatization, and more specifically with its technical efficiency. BAA was privatized under the Airports Act of 1986, in July 1987. The paper considers to what extent technical efficiency changed following privatization using data envelopment analysis. The study finds that privatization had no noticeable impact on technical efficiency, and that technical efficiency within BAA is a composite of varying performance across the different airports operated by the company over time.
Are Good Workers Employed by Good Firms ? A test of a simple assortative mating model for France and the United States∗

In this article, we test a simple version of Becker’s marriage model for wage setting. This model predicts positive assortative mating. We estimate this model using linked employer–employee data for the France and the United States. We reject this simple version for both countries. The zero or negative correlation between person and firm ∗The authors gratefully acknowledge the financial support of the National Science Foundation and the Centre de Recherche en Économie et Statistique (CREST), Paris. This research is a part of the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics Program (LEHD), which is partially supported by the National Science Foundation Grant SES-9978093 to Cornell University (Cornell Institute for Social and Economic Research), the National Institute on Aging, the U.S. Department of Labor (ETA) and the Alfred P. Sloan Foundation. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the U.S. Census Bureau, the National Science Foundation, or the Institut National de la Statistique et des Études Économiques. Confidential data from the LEHD Program were used in this paper. The U.S. Census Bureau is preparing to support external researchers use of the U.S. data under a protocol to be released in the near future; please contact Ron Prevost, Ronald.C. Prevost@census.gov. For further information concerning the French data, contact INSEE/CREST, 15, bd Gabriel Péri, 92245 Malakoff Cedex, France. †Corresponding author. CREST, Département de la recherche, 15, bd Gabriel Péri, 92245 Malakoff Cedex, France. sebastien.perez-duarte@ensae.fr
A Case of O1 Vibrio Cholera Bacteremia and Primary Peritonitis in a Patient With Liver Cirrhosis

Vibrio cholerae are Gram-negative bacteria that are differentiated into O1/O139 and non-O1/non-O139 serogroups depending on their ability to agglutinate with specific antiserum. In contrast to non-O1/non-0139 Vibrio cholerae, which are more prone to invade the bloodstream, Vibrio cholerae O1 is rarely the cause of bacteremia. We report a case of O1 Vibrio cholera bacteremia and primary peritonitis in a patient with liver cirrhosis. The literature on the subject is also reviewed.
Picturing Algorithmic Surveillance: The Politics of Facial Recognition Systems

This paper opens up for scrutiny the politics of algorithmic surveillance through an examination of Facial Recognition Systems (FRSs) in video surveillance, showing that seemingly mundane design decisions may have important political consequences that ought to be subject to scrutiny. It first focuses on the politics of technology and algorithmic surveillance systems in particular: considering the broad politics of technology; the nature of algorithmic surveillance and biometrics, claiming that software algorithms are a particularly important domain of techno-politics; and finally considering both the growth of algorithmic biometric surveillance and the potential problems with such systems. Secondly, it gives an account of FRS's, the algorithms upon which they are based, and the biases embedded therein. In the third part, the ways in which these biases may manifest itself in real world implementation of FRS's are outlined. Finally, some policy suggestions for the future development of FRS's are made; it is noted that the most common critiques of such systems are based on notions of privacy which seem increasingly at odds with the world of automated systems.
A Persistent Programming Language for the Semantic Web

The impedance mismatch problem that occurs when relational data is being used by object-oriented (OO) programs, also occurs when OO programs process RDF data, on the Semantic Web. The impedance mismatch problem is caused by the differences between RDF and the data model of OO languages. In this paper, we present a solution to this problem. Essentially, we modify the OO languages so that RDF resources will become first-class citizens in the OO languages, and objects of OO languages will become first-class citizens in RDF. Three important benefits that follow from this modification are: (1) it becomes natural to use the language as a persistence programming language, (2) the language supports implicit integration of data from multiple data sources, and (3) SPARQL queries and inference can be applied to objects during the run of a program. We present principles of languages that support our solution, and we describe an implementation of our approach, by an extension of the Ruby programming language.
Performance Analysis of Spread Domain of Semiconductor Junction in Thermoelectric Power Generators

As an alternative to classical thermoelectric devices, a structure incorporating a spread area semiconductor has been investigated. A novel structure containing spreading scale semiconductor junction has been proposed. Simulation results for both silicon and lead telluride structures are compared to measurement data, whereby excellent agreement is achieved. In a detailed simulation study, the influences of several design parameters like geometry, material composition, and doping profiles on the device performance of thermoelectric generators are assessed. Furthermore, the device behavior is discussed within non-ideal thermal environments. The novel structure incorporating a spread domain semiconductor junction turns out to be highly adaptable to given environmental conditions.