Miracle-dz/UniFAR-FTUs huggingface dataset:
MCDA-based methodology for efficient 3D-design space exploration and decision

Recently, the academic and industrial communities have proposed new technologies in order to overcome the physical limitations of the silicon, and among them 3D-Stacked Integrated Circuits (3D-SIC). Manufacturing of 3D-SICs consists in piling up conventional CMOS ICs and creating vertical interconnections between them. This offers new perspectives and levels of performance but the question of efficiently designing them arises since the solution space increases significantly. This paper presents a first approach based on a multi-criteria method in order to be able to efficiently design 3D-SIC. The aim of this work is to quickly explore the design space while considering the numerous criteria involved. This work is a first approach that shows a new design method based on the use of Multi- Criteria Decision Aid (MCDA) tools for efficient 3D-SIC design. The problem considered in this first approach is a global 3D-floorplanning. This work has shown that using MCDA tools can provide objective information that would not be available with the current conventional design methods. Those information provides deep analyses which could answer some of the questions a designer may have about the design space of a circuit. We believe that, with these promising results, this MCDA-based method will allow designers to overcome the growing complexity of designing 3D-SICs.
Secure reliable multimodel biometric fingerprint and face recognition

Biometrie image recognition is the process of studying the closest match region in between the examining images. The study of the recognition is done about the spatial pixels (picture element) among the image. Recognition of two different biometric features, finger print and face images are attempted. Finger print images are analyzed through every pixel. And face images are analyzed by the distance between various face mark identities and their relational distance difference (difference in distance and gonial angular value of left and right mandible bone). In this paper we are used principal component analysis completely out forms standards technique and curvelet transform. In the multi modal biometric technique are achieved good result with all security system for finger print and face recognition.
Testing the Neoclassical Model of Regional Economic Growth: A Panel Data Approach across the Finnish Provinces, 1973-1996

This study assesses the degree to which the variation of regional growth rates in Finland during the period 1973-1996 is consistent with the neoclassical view of growth. Panel data on Finnish provinces are examined with several estimation techniques and the obtained results are tested for their sample and model sensitivity. A region's investment rate, population growth rate, and the rate of technological progress are found to be reliable predictors of output per capita, but only when the growth model is augmented to include human and public capital accumulation, as well as initial conditions among regions. This suggests a need to examine the links between regional economic growth and the accumulation of new forms of capital more carefully.
Human genetic variations in the 5HT2A receptor: a single nucleotide polymorphism identified with altered response to clozapine.

OBJECTIVE to determine if the agonist serotonin and antagonists loxapine and clozapine have an altered potency for four allelic variants (T25N, I197V, A447V, and H452Y) of the human 5HT2A receptor when compared to the wild-type allele. METHODS The receptor or its variants are studied in an in-vitro functional assay system consisting of a Sf9 insect cell line that is stably transformed with the human wild-type and mutant alleles. This assay system measures release of calcium stores due to receptor activation by agonists and inhibition of this agonist stimulated response by antagonists. RESULTS Both loxapine and clozapine exhibit non-competitive antagonism of serotonin stimulation of the human 5HT2A receptor signal transduction system and loxapine is the more potent inhibitor. This study shows that the I197V allele requires a two-fold higher concentration of the atypical neuroleptic clozapine to inhibit serotonin stimulation compared to the wild-type receptor (P = 0.036). The I197V mutation does not affect the inhibition of serotonin stimulation by the typical neuroleptic loxapine nor does it alter the activation of the receptor by serotonin. It is also significant that the results of this study indicate that the T25N, A447V, and H452Y mutations in the human 5HT2A receptor do not significantly alter the response of the receptor to the agonist serotonin or the antagonists loxapine and clozapine.
The Causality Relationship between Financial Market Indexes and Financial Ratios: Evidence from Amman Stock Exchange

This study examines the effect of financial ratios on financial indexes. For this purpose, the financial indexes of ASE are examined. In the study, the relation between financial indexes performance and financial ratios are analyzed by time series data. In the analysis 4 financial indexes between 2010 and 2014 have been analyzed. The dependent variable of the study is financial indexes; the independent variables are financial ratios. This study contributes to the body of knowledge by estimating the presence and nature of theses causal associations. The results of Granger causality test revealed that the financial ratios have causal relationship with the performance of ASE indexes. Based on the analysis, the results showed that financial ratios (P/E, P/BV and DIV/YIELD) significantly caused financial indexes performance. The Johansen Cointegration test shows long run relationship among the variables. Some policy implications and recommendations are drawn in the conclusion for policy makers.
Intrinsic and extrinsic factors that influence ovarian environment and efficiency of reproduction in cattle

The emergent concepts on ovary environment, reproductive physiology and the development of pharmacology are constantly supporting the advance of assisted reproduction. Within the last years, the biotechnics related to the synchronization of follicular development and the manipulation of bovine estrus cycle have progressed rapidly and consistently. The combined use of timed-artificial insemination (TAI), superovulation (SOV), ovum pick up (OPU), in vitro embryo production (IVEP) and timed-embryo transfer (TET) has a great potential to improve reproductive outcomes and disseminate selected genetics, diminishing the interval of generations and improving herds genetic gain. However, several factors can potentially affect the efficiency of these procedures. The knowledge of the particularities of the genetic groups, follicular growth manipulation, follicular population predictors, and metabolic and environmental aspects that interfere with ovarian environment and, consequently, oocyte quantity and quality is crucial to optimize the reproductive programs. This review aims to elucidate some factors that affect the ovarian environment and must be well known in order to improve the efficiency of reproduction in cattle.
Safety, tolerability, and pharmacokinetics of single oral doses of tofacitinib, a Janus kinase inhibitor, in healthy volunteers

Tofacitinib is an oral Janus kinase inhibitor. This randomized, double‐blind, parallel‐group, placebo‐controlled study was the first evaluation of tofacitinib in humans. The objectives were to characterize the safety and tolerability, pharmacokinetics (PK), and pharmacodynamics of escalating single tofacitinib doses in healthy subjects. Tofacitinib (0.1, 0.3, 1, 3, 10, 30, 60, and 100 mg) or placebo was administered as oral powder for constitution. For each dose, 7–9 subjects were randomized to tofacitinib and 3–5 subjects to placebo. Ninety‐five males and females (age range 19–45) completed the study. Forty‐nine treatment‐emergent all‐causality adverse events (AEs) were observed; nausea and headache were the most frequently reported. Tofacitinib PK was characterized by rapid absorption (time to peak serum concentration [Tmax] 0.5–1 hour), rapid elimination (mean terminal half‐lives 2.3–3.1 hours), and dose‐proportional systemic exposures (peak serum concentration [Cmax] and area under the serum concentration‐time curve from time zero to infinity [AUC0–∞]). No appreciable correlation was observed between tofacitinib dose and lymphocyte subset counts. Single‐dose tofacitinib up to 100 mg in healthy subjects had a safety profile of mostly mild AEs, and no deaths, serious AEs, severe AEs or discontinuations due to AEs.
A Test of the Market’s Mispricing of Domestic and Foreign Earnings

This study investigates whether abnormal returns can be earned using public information about firms' domestic and foreign earnings. The results indicate that the market understates foreign earnings’ persistence. As a result, it is possible to construct a zero-investment hedge portfolio that consistently earns positive returns across years. A disproportionate fraction of the positive abnormal returns to the long position is concentrated in the few days surrounding the subsequent year's quarterly earnings announcement dates. Furthermore, the abnormal returns do not appear to persist beyond the subsequent year. The results are consistent with market mispricing, and not mis-estimated risk.
Single-trial Classification of Viewed Characters using Single-channel EEG Waveforms

Electroencephalograms (EEGs) and Eventrelated potentials (ERP) have long been used to observe the human visual perception process, such as the human response to letters, Kanji characters and symbols. This paper examines the possibility of classifying characters when viewed by subjects in single trials using single-channel EEG waveforms of the frontal area (Fz) and the occipital area (Oz) of the brain. The first 20 trials for each character were used for calibration, and the remaining trials were assigned to the test data set. Feature vectors for each trial were created as EEG waveforms from 100 up to 800 msec. after the stimuli was shown. To extract features of waveforms, the regression relationship between EEG and ERP waveforms was used to transform observed signals. As a result, the performance of cross validation rates of the test data set increased incrementally during the perceptual process, for both Fz and Oz, when the predicted waveforms were measured using the regression relationship. Also, the effectiveness of the prediction using the regression relationship for the classification performance of viewed characters was determined during the perceptual process. This provides evidence that a procedure using the relationship between EEG and ERP is effective in predicting viewed characters.
Enhancing network based intrusion detection for imbalanced data

The application of machine learning to intrusion detection has been researched for several decades, however, with varying degrees of success. This paper focuses on two common techniques: Multi Layer Perceptrons (MLPs) and Decision Trees (DTs). Previous research on these techniques has produced contradictory results concerning their ability to detect particular classes of intrusion. Some of these contradictions are argued to be a result of properties of the data set used for empirical study, the KDD Cup '99 data set, which poses several challenges to learning algorithms. One particular challenge is considered here, learning from imbalanced data, which is an intrinsic problem to intrusion detection. Empirical results show that both the DT and MLP trained with back propagation obtain very poor classification rates of the minor classes, particularly U2R (User to Root) intrusions; the MLP often being unable to detect this class. An evolutionary neural network is employed, in which several evaluation functions are examined. Two general fitness measures are used, which lead to similar behaviour to training an MLP with back propagation. However, when employing evaluation functions that calculate the fitness proportionally to the instances of each class, thereby avoiding a bias towards the major class(es) in the data set, significantly improved true positive rates are obtained whilst maintaining a low false positive rate.
Low Level of Exposure to Pesticides Leads to Lung Dysfunction in Occupationally Exposed Subjects

Pesticides may contribute to adverse respiratory health effects among farmers and have been considered one causal factor for the rise in asthma prevalence. This cross-sectional study was conducted to evaluate potential respiratory function abnormalities following long-term pesticide exposure by means of a complete pulmonary function testing, including spirometry, lung volumes, and diffusing capacity for carbon monoxide. The study population was comprised by workers from a prominent intensive agriculture area of southern Spain that relied on pesticides for the control of plagues. Eighty-nine pesticide sprayers of plastic greenhouse farming and a control group of 25 nonspraying control farmers from the same area were interviewed by a general practitioner asking about sociodemographic factors, occupational exposure, and clinical symptoms by using a structured questionnaire. Multiple regression analyses showed a relationship of short-term exposure to pesticides (as indicated by a drop in serum cholinesterase > 25% of baseline levels) with reduced forced expired volume in 1 s, and of long-term exposure (as indicated by a cumulative pesticide exposure index) with reduced forced expiratory flow rate. Exposure to bipyridilium-class herbicides was a determinant of a fall in the diffusing capacity of the lungs, and neonicotinoid insecticides showed a relationship with lower pulmonary volumes (total lung capacity, residual volume, and functional residual capacity), suggestive of restrictive lung disease, and with an increased risk of reporting irritative symptoms.
Labor Relations and Productivity Growth in Advanced Capitalist Economies

In this paper, we claim that worker rights (including collective bargaining rights, employment protection, and income security) promote productivity growth. We argue that cooperative labor-management relations encourage workers to make positive contributions to technical and organizational innovations that raise labor productivity, and that an industrial relations system that secures strong worker rights fosters cooperative labor-management relations. These arguments are supported by an empirical analysis of long-run productivity growth in 15 advanced capitalist countries. We first develop an index of worker rights and show its positive effect on several indicators of labor-management cooperation. We then develop an index combining measures of worker rights and labor-management cooperation and show its positive effect on the rate of growth of labor productivity.
Communication-efficient privacy-preserving smart metering

The frequent reporting by smart meters may raise privacy concerns about the whereabouts of the consumers. There have been a number of privacy-preserving schemes proposed during the recent years, whereof most provide privacy-preserving aggregation of consumption values from groups of smart meters, while less provide privacy-preserving billing computations. An important aspect is transmission efficiency, since smart meter communication is usually wireless. Groups of smart meters form mesh networks, where the meters organize temporarily wireless paths where they forward messages on behalf of each other to and from the master meter or base station. Low transmission overhead is thus of high concern to reduce the amount of communication. Also of concern is resilience towards adversaries that are capable of compromising multiple meters. In this paper, we propose privacy-preserving schemes for consumption aggregation and billing that are communication-efficient and that provide (s-1)-resilience.
The Electoral Influence of Party Leader Images in Australia and New Zealand

Although the electoral influence of voter attitudes toward American presidential candidates has never seriously been questioned, only in relatively recent times has the existence of an equivalent effect for political party leaders in parliamentary systems become well-accepted. This analysis seeks to extend the understanding of the nature of parliamentary leadership effects to encompass the types of specific leadership qualities that influence electoral choice. Data from open-ended questions in surveys conducted in Australia in 1979 and New Zealand in 1981, taken together with earlier research, indicate a broad similarity of voter responses to different political leaders, in parliamentary as well as presidential systems. In particular, the criteria voters take into account most consistently when making leadership-based electoral decisions are positive perceptions of the “performance relevant” qualities of competence and integrity. This is evidence against the argument that voting on the basis of leadership personality is in some sense “irrational. ”
Role of pri-miRNA tertiary structure in miR-17~92 miRNA biogenesis

MicroRNAs (miRNAs) regulate gene expression in a variety of biological pathways such as development and tumourigenesis. miRNAs are initially expressed as long primary transcripts (pri-miRNAs) that undergo sequential processing by Drosha and then Dicer to yield mature miRNAs. miR-17~92 is a miRNA cluster that encodes 6 miRNAs and while it is essential for development it also has reported oncogenic activity. To date, the role of RNA structure in miRNA biogenesis has only been considered in terms of the secondary structural elements required for processing of pri-miRNAs by Drosha. Here we report that the miR-17~92 cluster has a compact globular tertiary structure where miRNAs internalized within the core of the folded structure are processed less efficiently than miRNAs on the surface of the structure. Increased miR-92 expression resulting from disruption of the compact miR-17~92 structure results in increased repression of integrin α5 mRNA, a known target of miR-92a. In summary, we describe the first example of pri-miRNA structure modulating differential expression of constituent miRNAs.
Effects of N2 contents on the non-equilibrium composition in SF6 decaying process

It's increasing clear that departures from both thermal and chemical equilibrium exist in conditions relevant to high-voltage circuit breakers after current zero. The electron temperature (T<inf>e</inf>) is often higher than the heavy species temperature (T<inf>h</inf>). We are intended to investigate the effects of N<inf>2</inf> contents on the electron temperature and non-equilibrium composition during the arc decaying process, when the heavy species temperature decreases from 12000 K to 1000 K at 4 atm. A two-temperature chemical kinetic model of SF<inf>6</inf>/N<inf>2</inf> thermal plasma containing all the reactions available is developed. The ratio of T<inf>e</inf> to T<inf>h</inf> is defined as the function of electron number density. And also, T<sup>∗</sup> is introduced to allow a smooth transition between T<inf>e</inf> and T<inf>h</inf>. The ratio of T<inf>e</inf> to T<inf>h</inf> and the kinetic compositions at different N<inf>2</inf> contents are compared and analyzed. Then, the physicochemical process can be better interpreted based on the non-equilibrium phenomenon.
Generalized Conjugate Priors for Bayesian Analysis of Risk and Survival Regressions

Summary. Conjugate priors for Bayesian analyses of relative risks can be quite restrictive, because their shape depends on their location. By introducing a separate location parameter, however, these priors generalize to allow modeling of a broad range of prior opinions, while still preserving the computational simplicity of conjugate analyses. The present article illustrates the resulting generalized conjugate analyses using examples from case‐control studies of the association of residential wire codes and magnetic fields with childhood leukemia.
An interference cancellation scheme using dynamic space code multiple access (DSCMA) system

Non-uniform traffics can severely degrade the performance of code division multiple access (CDMA) and space division multiple access (SDMA) cellular systems. In this paper, we propose a novel interference cancellation scheme by using the joint multiple access system from the merge of CDMA and SDMA systems to form dynamic space code multiple access (DSCMA). This multiple access system uses a modified version of large area synchronous (LAS) sequence called LAS even-ternary (LAS-ET) sequence to increase its duty ratio. This sequence also exhibits a region called interference free window (IFW) near zero delay time offset. In order to ensure that all the signal components drop within the IFW, a narrow beam with higher directivity smart antenna system is exploited. The size of IFW is adapted to the smart antenna half-power beamwidth using DSC algorithm. By using this algorithm the spectrum efficiency is further increased. Finally, all the interferences induced in non-uniform traffics can be dramatically reduced in DSCMA system and thus resulting in a higher system capacity.
Prediction of posttranslational modifications using intact-protein mass spectrometric data.

We present a Web-based application that uses whole-protein masses determined by mass spectrometry to identify putative co- and posttranslational proteolytic cleavages and chemical modifications. The protein cleavage and modification engine (PROCLAME) requires as input an intact mass measurement and a precursor identification based on peptide mass fingerprinting or tandem mass spectrometry. This approach predicts mass-modifying events using a depth-first tree search, bounded by a set of rules controlled by a custom-built fuzzy logic engine, to explore a large number of possible combinations of modifications accounting for the experimental mass. Candidates are saved during a search if they are within a user-specified instrument mass accuracy; the total number of possible candidates searched is based on a specified fuzzy cutoff score. Candidates are scored and ranked using a simple probabilistic model. There is generally not enough information in an intact mass measurement to determine a single unique protein characterization; however, the program provides utility by expediting the identification of sets of putative events consistent with the mass data and ranking them for further investigation. This approach uses a simple, intuitive rule base and lends itself to discovery of unannotated posttranslational events. We have assessed the program with both in silico-generated test data and with published data from an analysis of large ribosomal subunit proteins, both from the yeast S. cerevisiae. Results indicate a high degree of sensitivity and specificity in characterizing proteins whose masses resulted from reasonable proteolysis and covalent modification scenarios. The application is available on the web at http://proclame.unc. edu.
Comparison of two novel-strategies to obtain sub-pitch resolution in ultrasound elastography

In elastography, Conventional Linear Array (CLA) - based RF data acquisition can only provide good quality displacement measurements in the direction of beam propagation (axial direction). For obtaining high-precision Lateral Displacement Estimation (LDE), one of the popular methods is by interpolating A-lines in between neighboring RF A-lines. However, acquiring and utilizing the actual data from sub-pitch location will yield fundamentally better estimation. In this paper, we explore a novel method of acquiring and augmenting post-beamformed RF A-line in sub-pitch locations by electronically translating the sub-aperture by activating odd and even number of elements alternatively. We compare this approach to another recently described method where sub-pitch translations of beams were accomplished by actuator-assisted translation of the linear array transducer. The performances of the methods were studied through simulation and experiments on phantoms. The results demonstrate that these methods yield better quality LDE compared to those obtained from interpolation of RF A-lines.