Miracle-dz/UniFAR-FTUs huggingface dataset:
Performed and preferred participation in science and technology across Europe: Exploring an alternative idea of “democratic deficit”

Republican ideals of active scientific citizenship and extensive use of deliberative, democratic decision making have come to dominate the public participation agenda, and academic analyses have focused on the deficit of public involvement vis-à-vis these normative ideals. In this paper we use latent class models to explore what Eurobarometer survey data can tell us about the ways in which people participate in tacit or in policy-active ways with developments in science and technology, but instead of focusing on the distance between observed participation and the dominant, normative ideal of participation, we examine the distance between what people do, and what they themselves think is appropriate in terms of involvement. The typology of citizens emerging from the analyses entails an entirely different diagnosis of democratic deficit, one that stresses imbalance between performed and preferred participation.
The Cumulus, Photogrammetric, In Situ, and Doppler Observations Experiment of 2006

The finescale structure and dynamics of cumulus, evolving from shallow to deep convection, and the accompanying changes in the environment and boundary layer over mountainous terrain were the subjects of a field campaign in July–August 2006. Few measurements exist of the transport of boundary layer air into the deep troposphere by the orographic toroidal circulation and orographic convection. The campaign was conducted over the Santa Catalina Mountains in southern Arizona, a natural laboratory to study convection, given the spatially and temporally regular development of cumulus driven by elevated heating and convergent boundary layer flow. Cumuli and their environment were sampled via coordinated observations from the surface, radiosonde balloons, and aircraft, along with airborne radar data and stereophotogrammetry from two angles. The collected dataset is expected to yield new insights in the boundary layer processes leading to orographic convection, in the cumulus-induced transport of boundary layer a.
Efficient analysis of experimental observations.

The prime goal of this chapter is to encourage researchers in pharmacology to make use of some of the statistical techniques developed in recent years that could increase the efficiency of their analyses. The topics we have chosen to illustrate are fractional replicates of fac­ torial experiments, single degrees of freedom and half-normal plots in the analysis of variance, robust estimation, and up-and-down method for quan­ tal responses. Briefly, the advantages of the techniques illustrated here are the follow­ ing.
Experimental Evaluation of Explicit and Symbolic Automata-Theoretic Algorithms

Experimental Evaluation of Explicit and Symbolic Automata-Theoretic Algorithms by Deian Tabakov The automata-theoretic approach to the problem of program verification requires efficient minimization and complementation of nondeterministic finite automata. This work presents a direct empirical comparison of well-known automata minimization algorithms, and also of a symbolic and an explicit approach to complementing automata. I propose a probabilistic framework for testing the performance of automatatheoretic algorithms, and use it to compare empirically Brzozowski’s and Hopcroft’s minimization algorithms. While Hopcroft’s algorithm has better overall performance, the experimental results show that Brzozowski’s algorithm performs better for “highdensity” automata. In this work I also analyze complementation by considering automaton universality as a model-checking problem. A novel encoding presented here allows this problem to be solved symbolically via a model-checker. I compare the performance of this approach to that of the standard explicit algorithm which is based on the subset construction, and show that the explicit approach unexpectedly performs an order of magnitude better.
Comparison of Western blot (immunoblot) and glycoprotein G-specific immunodot enzyme assay for detecting antibodies to herpes simplex virus types 1 and 2 in human sera

Sera from patients with culture-proven genital herpes infections were tested for herpes simplex virus type 1 (HSV-1)- and HSV-2-specific antibodies by both a Western blot (immunoblot) technique (WBA) and immunodot enzyme assays (IEAs) specific for HSV-1 or HSV-2 glycoprotein G (gG). Of 137 serum samples tested, none was mistyped by either WBA or IEA. Both tests were most sensitive with sera obtained at least 21 days after onset of primary HSV-2 infections or sera drawn during recurrent HSV-2 genital episodes: 75 of 76 (99%) such serum samples were positive for HSV-2 antibody by WBA and 73 of 76 (96%) were positive by IEA. Of sera drawn earlier than 21 days from onset of primary genital HSV-2, antibodies to HSV-2 were detected in 25% by WBA and 8% by IEA. In patients with culture-proven primary genital HSV-1 infection, WBA detected antibodies to HSV-1 proteins in 16 of 17 (94%) serum samples drawn at least 21 days after onset of primary genital HSV-1 infection, compared with 9 of 17 (53%) serum samples tested for gG-1 by IEA. Both WBA and IEA are accurate and sensitive tests for HSV-2 antibody in patients convalescing from a first episode or having symptomatic or asymptomatic recurrent genital herpes. WBA was more sensitive than IEA in detecting seroconversion following primary HSV-1 genital herpes, although both assays may miss persons undergoing early seroconversion to HSV-2.
Defect detection in Through Silicon Vias by GHz Scanning Acoustic Microscopy: Key ultrasonic characteristics

Among the technological developments pushed by the emergence of 3D-ICs, Through Silicon Via (TSV) technology has become a standard element in device processing over the past years. As volume increases, defect detection in the overall TSV formation sequence is becoming a major element of focus nowadays. Robust methods for in-line void detection during TSV processing are therefore needed especially for scaled down dimensions. Within this framework, the current contribution describes the application field of GHz Scanning Acoustic Microscopy (SAM) to TSV void detection.
Constrained Flexibility in the Extension of Novel Causative Verbs

0. Introduction Whenever we learn a novel word, whatever its grammatical category, what we are learning is a label for a whole category of things in the world. The word dog, for example, refers not to an individual dog, but to the whole set of dog-like things in the world. Likewise, the word jump refers not to a single instance of jumping, but to an entire category of jumping events. A large literature has grown up around the kinds of categories that children assign to novel nouns, asking, for example, whether a novel count noun refers to a particular individual, to a basic level category, or to a superordinate category (e.g. Markman 1993, Waxman 1990). The corresponding questions have not been asked, however, about novel verbs, i.e. what categories of events a novel verb can be extended to include. It is well established that there are systematic regularities in the mapping between verb meaning and verb syntax, such that verbs that refer to similar event types, i.e. verbs that have similar meanings, can occur in similar sentence structures (e.g. Carter 1976, Gruber 1965, Jackendoff 1990, Levin 1993). We know, for example, that only verbs that label a change of state can occur in the so-called causative-inchoative alternation, illustrated by the sentences in (1). Note that the verb bounce can be used both in a transitive frame (1a) and in an unaccusative intransitive frame (1b), but that hit cannot (2). The discrepancy between these two patterns of use is due to the fact that only bounce labels some change of state undergone by the ball; on the contrary, in (2a) it’s Sammy that does the hitting, not the ball.
DISCRIMINANT ANALYSIS AND MAHALANOBIS DISTANCE (NIR DIFFUSE REFLECTANCE SPECTRA) IN THE ASSESSMENT OF DRUG’S BATCH-TO-BATCH DISPERSION AND QUALITY THRESHOLD ESTABLISHMENT

Distance-based supervised pattern recognition method (PRM) – discriminant analysis (DA) in principal component (PC) space described by Mahalanobis distance (MD) was suggested for definition of batch-to-batch dispersion of 22 drugs, produced by 14 manufacturers. The range of under test medicines numbered 18 pharmacological classes, including biologics, microbiological drugs and combined drugs, containing several active ingredients. Thermo Scientific ANTARIS II FT-NIR Analyzer collected spectra in diffuse reflectance mode, data pre-processing and analysis were performed using the TQ Analyst software. The value of spectral dispersion for the most samples in the research except capsules did not exceed 10 MD, what correlated with the values met in literature (Mark & Tunnell, 1985). Mahalanobis distance threshold, which was calculated in leave-one-out-cross validation (LOOCV), proved equal 3 for the majority of drugs, what was in a good agreement with the theoretically determined limit (Mark, 2001, p. 321).
A novel circular patch antenna of generating vortex beams based on complex transformation optics

Generation of vortex beam carrying orbital angular momentum (OAM) is a popular field of research in recent years. Based on the theory of complex transformation optics, a standing-wave current distribution along the circumference of a conventional circular patch is transformed into a uniform traveling current distribution instead, thus leading to the generation of vortex beams. Compared to the other designs of generating vortex beams, our design takes a patch antenna as a single radiator, thus, it has incomparable advantage in the compact structure.
LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification

This paper describes the system developed at LIA for the SemEval-2017 evaluation campaign. The goal of Task 4.A was to identify sentiment polarity in tweets. The system is an ensemble of Deep Neural Network (DNN) models: Convolutional Neural Network (CNN) and Recurrent Neural Network Long Short-Term Memory (RNN-LSTM). We initialize the input representation of DNN with different sets of embeddings trained on large datasets. The ensemble of DNNs are combined using a score-level fusion approach. The system ranked 2nd at SemEval-2017 and obtained an average recall of 67.6%.
Improving prediction performance using ensemble neural networks in textile sector

Neural network technique has been recently preferred in textile sector for the prediction task because the traditional mathematical and statistical methods can be inadequate to derive complex relations within textile datasets. Meanwhile ensemble learning has become a popular machine learning approach in recent years due to the high prediction performance it provides. Therefore, this study proposes an ensemble learning approach that combines neural networks with different parameter values (the number of hidden layers, learning rate and momentum coefficient) to improve prediction performance in textile sector. In the experimental studies, the proposed model was tested on ten different real-world textile datasets. The results show that ensemble neural networks usually achieve better prediction performance than an individual neural network in terms of correlation coefficient and relative absolute error measures.
Specific Sequences Outside the E-box Are Required for Proper per Expression and Behavioral Rescue

A 69 bp circadian regulatory sequence (CRS) upstream of the per gene is sufficient to drive circadian transcription, mediate proper spatial expression, and rescue behavioral rhythmicity in per 01 flies. Within the CRS, an E-box is required for transcriptional activation by two basic-helix-loop-helix (bHLH) PERARNT-SIM (PAS) transcription factors, dCLOCK (dCLK) and CYCLE (CYC). To define sequences within the CRS that are required for spatial expression, circadian expression, and behavioral rhythmicity, a series of mutants that alter blocks of 3 to 12 nucleotides across the entire CRS were used to drive lacZ or per expression in vivo. As expected, the E-box within the CRS is necessary for high-level expression and behavioral rhythmicity, but sequences outside the E-box are also required for transcriptional activation, proper spatial expression, and behavioral rhythmicity. These results indicate that the dCLK-CYC target site extends beyond the E-box and that factors other than dCLK and CYC modulate per transcription.
Colon-specific prodrugs of 5-aminosalicylic acid: synthesis and in vitro/in vivo properties of acidic amino acid derivatives of 5-aminosalicylic acid.

5-aminosalicyl-L-aspartic acid (5-ASA-Asp) and 5-aminosalicyl-L-glutamic acid (5-ASA-Glu) were synthesized and their properties as colon-specific prodrugs of 5-aminosalicylic acid (5-ASA) were investigated employing rats as test animals. Incubation of 5-ASA-Asp and 5-ASA-Glu with the homogenates of tissue and contents of stomach or small intestine released no 5-ASA, indicating that they were stable in this condition. Incubation of 5-ASA-Asp with the cecal contents released 5-ASA 37%, whereas 5-ASA-Glu released only 8% of the dose in 16 h. Plasma concentration of 5-ASA-Asp after intravenous administration decreased rapidly and became undetectable in 60 min. No 5-ASA was detected in the blood, which indicated 5-ASA-Asp was stable in the plasma. After oral administration of 5-ASA-Asp, concentration of 5-ASA, its metabolite N-acetyl-5-ASA, and 5-ASA-Asp in the plasma, feces, and urine was determined. In the plasma, 5-ASA-Asp was not detected and the concentration of 5-ASA or N-acetyl-5-ASA was very low. About 33% of the administered dose was recovered as 5-ASA and N-acetyl-5-ASA and 43% as 5-ASA-Asp from feces, and 20% as 5-ASA and N-acetyl-5-ASA and 1% as 5-ASA-Asp from urine in 24 h. These results suggested that most of 5-ASA-Asp was delivered to the large intestine and about half of the administered dose was activated to liberate 5-ASA. After oral administration of free 5-ASA, fecal recovery was only 7% of the dose in 24 h and more than 80% was recovered from urine. Comparing 5-ASA-Asp and free 5-ASA, the amount of 5-ASA available in the large intestine was much larger, while the amount of 5-ASA in urine, which might be related to the systemic toxicity of 5-ASA, was much lower by the administration of 5-ASA-Asp than free 5-ASA.
Hematopoietic Derived Cell Infiltration of the Intestinal Tumor Microenvironment in ApcMin/+ Mice

Abstract Tumors consist of a heterogeneous population of neoplastic cells infiltrated by an equally heterogeneous collection of nonneoplastic cells that comprise the tumor microenvironment. Tumor growth, invasion, and metastasis depend on multiple interactions between these cells. To assess their potential as therapeutic targets or vehicles for tumor specific delivery of therapeutic agents, we examined the contribution of bone marrow derived cells (BMDCs) to the intestinal tumor microenvironment. Hematopoietic stem cells expressing the enhanced green fluorescent protein (eGFP) were transplanted into lethally irradiated ApcMin/+ mice, and their engraftment was analyzed by confocal microscopy. The results showed abundant infiltration of eGFP cells into the small intestine, colon, and spleen compared to heart, muscle, liver, lung, and kidney. Within the intestine, there was a pronounced gradient of engraftment along the anterior to posterior axis, with enhanced infiltration into adenomas. Immunofluorescence analysis showed that osteopontin was expressed in tumor stromal cells but not in nontumor stromal populations, suggesting that gene expression in these cells is distinct. Tumor vasculature in ApcMin/+ mice was chaotic compared to normal intestinal regions. Our data suggest that BMDCs can be harnessed for tumor-targeted therapies to enhance antitumor efficacy.
Biophysical properties of mouse connexin30 gap junction channels studied in transfected human HeLa cells

1 Human HeLa cells expressing mouse connexin30 (Cx30) were used to study the electrical properties of Cx30 gap junction channels. Experiments were performed on cell pairs with the dual voltage‐clamp method. 2 The gap junction conductance (gj) at steady state showed a bell‐shaped dependence on junctional voltage (Vj; Boltzmann fit: Vj,0= 27 mV, gj,min= 0.15, z= 4). The instantaneous gj decreased slightly with increasing Vj. 3 The gap junction currents (Ij) declined with time following a single exponential. The time constants of Ij inactivation (τi) decreased with increasing Vj. 4 Single channels exhibited a main state, a residual state and a closed state. The conductances γj,main and γj,residual were 179 and 48 pS, respectively (pipette solution, potassium aspartate; temperature, 36‐37 °C; extrapolated to Vj= 0 mV). 5 The conductances γj,residual and γj,main showed a slight Vj dependence and were sensitive to temperature (Q10 values of 1.28 and 1.16, respectively). 6 Current transitions between open states (i.e. main state, substates, residual state) were fast (< 2 ms), while those between an open state and the closed state were slow (12 ms). 7 The open channel probability (Po) at steady state decreased from 1 to 0 with increasing Vj (Boltzmann fit: Vj,0= 37 mV; z= 3). 8 Histograms of channel open times implied the presence of a single main state; histograms of channel closed times suggested the existence of two closed states (i.e. residual states). 9 We conclude that Cx30 channels are controlled by two types of gates, a fast one responsible for Vj gating involving transitions between open states (i.e. residual state, main state), and a slow one correlated with chemical gating involving transitions between the closed state and an open state.
Representing Linguistic Corpora and Their Annotations

A Linguistic Annotation Framework (LAF) is being developed within the International Standards Organization Technical Committee 37 Sub-committee on Language Resource Management (ISO TC37 SC4). LAF is intended to provide a standardized means to represent linguistic data and its annotations that is defined broadly enough to accommodate all types of linguistic annotations, and at the same time provide means to represent precise and potentially complex linguistic information. The general principles informing the design of LAF have been previously reported (Ide and Romary, 2003; Ide and Romary, 2004a). This paper describes some of the more technical aspects of the LAF design that have been addressed in the process of finalizing the specifications for the standard.
Optimal PFC corrector of single stage power converter using BC tuned PID controller

In this paper, Bee Colony (BC) algorithm based tuning of the proportional, integral and derivative (PID) controller is proposed. The novelty of the proposed method is enhanced searching ability, reliability and suitable for complex problems. Here, the proposed method is used to optimize the proportional, integral and derivative gains of the PID controller based on the output power variation from the input power. With the optimized gains, PID controller determines the control output to reduce the error between the actual and reference value of the instantaneous input power. This instantaneous input reference is computed with the aid of Radial Basis Function Network (RBFN). In the presented work, the topology of the AC to DC power converter is modelled and controlled with BC optimized PID controller. The performance of the proposed BC-PID controller for AC to DC converter is analyzed in terms of power factor correction and efficiency. The validation of the proposed control algorithm is performed on MATLAB/Simulink working platform and the effectiveness of the proposed method is analyzed by using the comparison analysis with the existing techniques.
A new UWB pulse generator for narrowband interference avoidance

In this paper a new IR-UWB pulse generator circuit is proposed which is capable of solving the coexistence problem of narrowband and ultra wideband communication systems. This is done by creating a notch in the PSD of the generated UWB signal and adjusting its center frequency at the frequency of the narrowband interference. Using a triangular pulse generator, a triangular signal is generated and applied to the proposed circuit which consists of three main function blocks including quadratic, exponential and differentiator circuits. A differential pair MOS transistors in sub threshold region is utilized in order to realize the exponential block. The circuit is designed using a 0.18-mm RF CMOS technology. The notch is produced with the center frequency of 5GHz. Simulation results verify the effectiveness of the proposed pulse generation technique where simulated signals are in accordance with mathematical analyses. The resultant IR-UWB signal also satisfies the FCC mask requirements.
Optimal algorithms for minimal perfect hashing

Minimal perfect hash functions are used for memory efficient storage and fast retrieval of items from static sets. We present an overview of previous solutions and analyze a new algorithm based on random graphs for generating order preserving minimal perfect hash functions. We show that the new algorithm is both time and space optimal in addition to being practical. The algorithm generates a minimal perfect hash function in two steps. First a special kind of function into a random graph is computed probabilistically. Then this function is refined deterministically to a minimal perfect hash function. The first step uses linear random time, while the second runs in linear deterministic time.
Pancreatic hormones and amino acid levels following liver transplantation

Glucose intolerance, hyperinsulinemia, peripheral insulin resistance and hyperglucagonemia are common in patients with advanced liver disease. These abnormalities in the plasma levels of the pancreatic hormones, insulin and glucagon have been thought to be responsible, at least in part, for the abnormal plasma ratio of branched‐chain amino acids to aromatic amino acids. To evaluate this issue, plasma levels of glucose, insulin, glucagon, C‐peptide and the branched‐chain and aromatic amino acids were measured before and serially after orthotopic liver transplantation in 9 humans and 5 dogs. The abnormal plasma amino acid levels rapidly improved and achieved normal levels following orthotopic liver transplantation. Insulin levels also became normal following orthotopic liver transplantation, despite enhanced insulin secretion documented by an even further increased level of C‐peptide. In contrast, the baseline abnormal plasma glucagon levels which are commonly seen in cirrhotics became even more abnormal following orthotopic liver transplantation. Despite this progressive increase in the abnormally elevated plasma glucagon levels, plasma amino acid levels, both branched‐chain and aromatic, became normal. These data demonstrate that before and after orthotopic liver transplantation, there is: (i) no relationship between the changes in plasma levels of glucagon and changes observed in the plasma level of amino acids; and (ii) plasma insulin and amino acid levels change in the same direction. In addition, these changes in plasma insulin and amino acid levels following orthotopic liver transplantation occur despite enhanced secretion of insulin evidenced by the progressive increase in plasma levels of C‐peptide.