Miracle-dz/UniFAR-FTUs huggingface dataset:
Functional Expression of the New Gap Junction Gene Connexin47 Transcribed in Mouse Brain and Spinal Cord Neurons

A new mouse gap junction gene that codes for a protein of 46,551 Da has been identified and designated connexin47 (Cx47). It mapped as a single-copy gene to mouse chromosome 11. In human HeLa cells and Xenopus oocytes, expression of mouse Cx47 or a fusion protein of Cx47 and enhanced green fluorescent protein induced intercellular channels that displayed strong sensitivity to transjunctional voltage. Tracer injections in Cx47-transfected HeLa cells revealed intercellular diffusion of neurobiotin, Lucifer yellow, and 4′,6-diamidino-2-phenylindole. Recordings of single channels yielded a unitary conductance of 55 pS main state and 8 pS substate. Cx47 mRNA expression was high in spinal cord and brain but was not found in retina, liver, heart, and lung. A low level of Cx47 expression was detected in ovaries. In situ hybridizations demonstrated high expression in α motor neurons of the spinal cord, pyramidal cells of the cortex and hippocampus, granular and molecular layers of the dentate gyrus, and Purkinje cells of the cerebellum as well as several nuclei of the brainstem. This expression pattern is distinct from, although partially overlapping with, that of the neuronally expressed connexin36 gene. Thus, electrical synapses in adult mammalian brain are likely to consist of different connexin proteins depending on the neuronal subtype.
Mining opened frequent itemsets to generate maximal Boolean association rules

Lots of association rules may be generated in the process of association rules minging. It leads to users hard to find important information they needed. The maximal Boolean association rules have the advantages that these rules contain a small number and don't lose the rules' information. Thereby it increased the efficiency of the users' analysis about the rules and saved the storage space. Opened frequent itemsets and closed frequent itemsets can be used to mine the maximal Boolean association rules. In this paper, we analyse the property of maximal Boolean association rules and propose an algorithm of mining opened frequent itemset. Finally, we verify this algorithm by an example.
Iris recognition system for secure authentication based on texture and shape features

One of the most accurate biometric authentication methods is iris pattern. It has the advantages of being stable, contactless and no user's previous knowledge is required. This paper presents an iris recognition system for user authentication. To design the proposed iris authentication system we reviewed and evaluated four iris pattern recognition features including Histogram of Oriented Gradients (HOG), combined Gabor and Discrete Cosine Transform (DCT), and Grey level Co-occurrence Matrix (GLCM). The system was tested using UBIRIS.v1 IRIS dataset and the results showed that GLCM gives the largest Euclidean distance between two iris images for two different users, which is higher than using combined features. Moreover, GLCM gives the highest recognition accuracy using Logistic Model Trees (LMT) classifier. Accordingly, GLCM is regarded the most discriminative and the most effective technique for the proposed iris authentication system.
Compact high-power 60 GHz power amplifier in 65 nm CMOS

This paper presents a compact 60 GHz power amplifier utilizing a novel 4-way multi-conductor power combiner and splitter. The proposed topology provides the capability of combining the output power of four individual power amplifier cores in a compact die area of 0.025 mm2 with the advantage of lower insertion loss and higher efficiency compared to the conventional distributed active transformer topology. Each power amplifier core consists of a three-stage common-source amplifier with transformer-coupled impedance matching networks. Fabricated in 65 nm CMOS process, the measured gain of the 0.19 mm2 power amplifier is 18.8 dB at 60 GHz with 3dB band width of 4 GHz while consuming 424 mW from a 1.4V supply. A maximum saturated output power of 18.3dBm is measured with the 15.9% peak power added efficiency at 60 GHz.
Inventory models with stock- and price-dependent demand for deteriorating items based on limited shelf space

This paper deals with the problem of determining the optimal selling price and order quantity simultaneously under EOQ model for deteriorating items. It is assumed that the demand rate depends not only on the on-display stock level but also the selling price per unit, as well as the amount of shelf/display space is limited. We formulate two types of mathematical models to manifest the extended EOQ models for maximizing profits and derive the algorithms to find the optimal solution. Numerical examples are presented to illustrate the models developed and sensitivity analysis is reported.
Resistance to Pirates 2.0: A Method from Leakage Resilient Cryptography

In the classical model of traitor tracing, one assumes that a traitor contributes its entire secret key to build a pirate decoder. However, new practical scenarios of pirate has been considered, namely Pirate Evolution Attacks at Crypto 2007 and Pirates 2.0 at Eurocrypt 2009, in which pirate decoders could be built from sub-keys of users. The key notion in Pirates 2.0 is the anonymity level of traitors: they can rest assured to remain anonymous when each of them only contributes a very small fraction of its secret information. This scenario encourages dishonest users to participate in collusion and the size of collusion could become very large, possibly beyond the considered threshold in the classical model. There are numerous attempts to deal with Pirates 2.0 each of which only considers a particular form of Pirates 2.0. In this paper, we propose a method for fighting Pirates 2.0 in any form. Our method is based on the researches in key-leakage resilience. It thus gives an interesting and rather surprised connection between the rich domain of key-leakage resilient cryptography and Pirates 2.0. We first formalize the notion of key-leakage resilient revoke system and then identify sufficient conditions so that a key-leakage resilient revoke scheme can resist Pirates 2.0 in any form. We finally propose a construction of a secure key-leakage resilient identity-based revoke system that fulfills the required conditions. The main ingredient in the construction relies on the identity-based encryption with wildcards (WIBE) and our construction of key-leakage resilient WIBE could be useful in its own right.
Isolation and Identification of Aspergillus Section Fumigati Strains from Arable Soil in Korea

Abstract 63 strains of Aspergillus section Fumigati were isolated from 17 samples of arable soil in a central province of Korea. Based on the results of genotypic and phenotypic analyses, they were identified as Aspergillus fumigatus, A. lentulus, Neosartorya coreana, N. fennelliae, N. fischeri, N. glabra, N. hiratsukae, N. laciniosa, N. pseudofischeri, N. quadricincta, N. spinosa and N. udagawae. Among these, N. fennelliae, N. hiratsukae, N. quadricincta, and N. udagawae had not been previously recorded in Korea. The diversity of Aspergillus section Fumigati species from arable soil in Korea is also addressed.
Mesolimbic Dopamine, Its Receptors and Social Learning

MESOLIMBIC DOPAMINE, ITS RECEPTORS AND SOCIAL LEARNING Richard Matta Advisor: University of Guelph, 2018 Professor Elena Choleris This thesis investigated the role of dopamine (DA) in the social transmission of food preferences (STFP) in male and female mice. A study conducted by Choleris et al., 2011 using systemic treatments found a role for DA D1-type receptors (D1, D5) in social learning, and a role for DA D2-type receptors (D2, D3, D4) in feeding behavior in the STFP in mice. The potential brain region(s) of action underlying these effects are only now being investigated. The ventral tegmental area (VTA) has dopaminergic projections to limbic structures including the hippocampus and nucleus accumbens (NAc). Previous work done in our lab finds that infusing the DA D1-type receptor antagonist SCH23390 into the dorsal hippocampus blocks social learning in male and female mice (Matta et al., 2017). This thesis found that infusing the DA D2type receptor antagonist Raclopride into the dorsal hippocampus blocks social learning in female, but not male mice. This social learning impairment due to intrahippocampal Raclopride could not be explained by changes in total food intakes, exposure to the socially carried diet odor, or changes in olfactory discrimination between the two foods used during the choice test. Blocking hippocampal DA D2-type receptors also sex-dependently mediated the social interactions, whereby males had a greater reduction in agonistic-type behaviors, while females had a greater reduction in social investigatory-type behaviors. Using in vivo microdialysis, we further found that social learning in the STFP was associated with increased hippocampal DA
Situational analysis of the subjective well-being of university software developers in Puebla

Integral well-being is vital for the optimal functioning of people. The requirements for a software developer in the performance of their professional activity are varied and complex. These requirements range from working in multidisciplinary and multilingual teams, going through the challenge of technological advances of the discipline to commit to quality and innovation. To face these demands, it is essential that the developers have an optimal functioning, where the experience emotional and satisfaction with life play an important role. The objective of this article is to analyze the subjective well-being of university software developers in Puebla. The research is a quantitative cross-correlation study to identify statistically significant relationships between the different welfare variables. The study involved 47 university software developers from the city of Puebla. We use Pearson's multivariate correlation to validate the instruments and find relationships between variables, and Chi-squared statistics to calculate the dependency between them. The results reveal that the university software developers experience with higher incidence and intensity, the positive affections over the negatives. The affective balance (Net Affect), calculated as the difference of the weighted averages by duration between positive affective states and negative, was positive (mean = 1.31). "Concentrated" is the positive affective state with the highest incidence and with the highest reported intensity. "Tired" is the most experienced negative affect and highest in intensity. Developers spend 40% of their time experiencing negative affective states (U-index) and are moderately satisfied with their lives in general.
An illumination device

PURPOSE: A lighting device is provided to increase a lighting range by controlling a projection angle of the light emitted from a plurality of light emitting units. CONSTITUTION: A lighting device includes a chimney module(20), a plurality of light emitting units(21), a control device and a drive unit. The chimney module includes an upper housing, a lower housing, and a lamp socket. The plurality of light emitting units are installed in the chimney module. The plurality of light emitting units include a light emitting element(211). The light emitting element is a lamp, a light emitting plate or LED lamp. The control device is installed in both sides of the light emitting unit. The control device rotates the light emitting unit. The drive unit controls the rotation angle of the light emitting unit by interlocking with the control device. A heat emitting device(213) is installed in the light emitting unit to emit the heat from the light emitting element.
Effects of Correlated Shadowing on Soft Decision Fusion in Cooperative Spectrum Sensing

In this paper, the impact of correlated shadowing on collaborative spectrum sensing is investigated in cognitive radio networks. A novel correlation model, called NeSh model, is introduced for more accurately capturing correlated shadowing effects on both sensing and reporting channels. Two soft decision fusion schemes are taken into account and general combining formulas are driven based on the optimal Neyman-Pearson criterion. The effect of different cognitive radio deployments on the performance is also studied. Based on the analysis, a new method for selecting collaborating cognitive radios is proposed to alleviate the effects of correlated shadowing and improve the performance of the system. Numerical results show that, the common assumption of independent and identically distributed (i.i.d.) shadowing is optimistic in most cases and correlated shadowing may have a significant impact on the performance of the system.
A UAV-based photogrammetric mapping system for road condition assessment

We present an Unmanned Aviation Vehicle-based Photogrammetric mapping system in this paper. This work is part of a project monitoring of unpaved road condition using remote sensing and other technology, sponsored by the US Department of Transportation. The system is based on a low cost model helicopter equipped with a GPS/IMU and a geomagnetic sensor to detect the position, attitude and velocity of the helicopter. An autonomous controller was employed to control helicopter to fly along a predefined flight path and reach the desired positions. At the ground station, a computer was used to communicate with the helicopter in real-time to monitor flight parameters and send out control commands. The entire processing system includes camera calibration, integrated sensor orientation, digital 3D road surface model and orthoimage generation, automated feature extraction and measurement for road condition assessment. In this paper, both the project and the system architecture are described, and the recent development results are presented.
Video halftoning

This paper studies video halftoning that renders a digital video sequence onto display devices, which have limited intensity resolutions and color palettes, by trading the spatiotemporal resolution for enhanced intensity/color resolution. This trade is needed when a continuous tone video is not necessary or not practical for video display, transmission, and storage. In particular, the quantization error of a pixel is diffused to its spatiotemporal neighbors by separable one-dimensional temporal and two-dimensional spatial error diffusions. Motion-adaptive gain control is employed to enhance the temporal consistency of the visual patterns by minimizing the flickering artifacts. Experimental results of halftone and colortone videos are demonstrated and evaluated with various halftoning techniques.
Real exchange rates: some evidence from the postwar years

Allan H. Meltzer is a professor of political economy and public policy at Carnegie Mellon University and a visiting scholar at the American Enterprise Institute. Thanks to Craig Hakkio, Carl Christ and Bennett McCalIum who commented on an earlier draft and to Jeffrey Liang who contributed more than the usual assistance. A preliminary version was presented at the 1992 Western Economic Association session honoring Milton Friedman on his 80th birthday.
Consumption of fructo-oligosaccharide reduces 2,4-dinitrofluorobenzene-induced contact hypersensitivity in mice

Strategies to manipulate the intestinal microbiota have been considered to promote immune health. The aim of the present study was to examine whether fructo-oligosaccharide, a typical prebiotic, could suppress antigen-specific skin inflammation by favourably changing the population of intestinal microbiota. Female BALB/c mice were fed a synthetic diet with or without fructo-oligosaccharide supplementation for 3 weeks and were then epicutaneously immunised with 2,4-dinitrofluorobenzene. Afterwards, mice continued to receive their respective diets. At 5 d after immunisation, the mice were ear challenged with the hapten. Ear swelling after the challenge was significantly reduced in the mice fed the diet supplemented with fructo-oligosaccharide than in mice fed the control diet. To characterise the change in the intestinal microbiota, DNA samples isolated from fresh faeces were subjected to PCR–denaturing gradient gel electrophoresis and real-time PCR based on 16S rDNA gene sequences. Dietary fructo-oligosaccharide altered the composition of intestinal microbiota. The numbers of bifidobacteria, but not lactobacilli, were significantly higher in mice fed the fructo-oligosaccharide-supplemented diet than in mice fed the control diet. Ear swelling was negatively correlated with the numbers of bifidobacteria in the faeces. Sequence analysis revealed that Bifidobacterium pseudolongum was the most predominant bifidobacteria in the intestine of mice fed the fructo-oligosaccharide-supplemented diet. These results suggest that consumption of fructo-oligosaccharide reduces contact hypersensitivity, which is associated with proliferation of B. pseudolongum in the intestinal tract of mice.
Utilizing Graphics Processing Units for rapid facial recognition using video input

We propose a facial recognition method that is implemented utilizing a Graphics Processing Unit (GPU) to accelerate the processing time for a single frame of an input video sequence. When working with live streaming data, the processing speed that a particular frame is processed is a significant factor. A fast processing speed is necessary so that a recognition method can keep up with the frame rate of the video sequence. GPU computing is an ideal method to accelerate recognition processing. By implementing components of a facial recognition method on a Tesla C2050 GPU, we achieve a method that runs up to six times faster than a pure CPU implementation of the method. We evaluate these implementations using live streaming data and find that the GPU implementation achieves a greater accuracy and performance over the CPU implementation.
Personality Processes and Individual Differences Flux, Pulse, and Spin: Dynamic Additions to the Personality Lexicon

Personality constructs were proposed to describe intraindividual variability in interpersonal behavior. Flux refers to variability about an individual's mean score on an interpersonal dimension and was examined for the 4 poles of the interpersonal circumplex. Pulse and spin refer to variability about an individual's mean extremity and mean angular coordinate on the interpersonal circumplex. These constructs were measured using event-contingent recording. Latent state–trait analyses indicated high stability of flux in submissive, agreeable, and quarrelsome behaviors and some stability in the flux of dominance. Further analyses indicated moderate to high stability in pulse and spin. Neuroticism predicted greater pulse, spin, and submissive behavior flux. Extraversion predicted greater flux in agreeable behavior. In contrast, Agreeableness predicted reduced spin and quarrelsome behavior flux. Social environmental variables predicted greater flux in dominant behavior. Flux, pulse, and spin provide reliable and distinctive additions to the vocabulary for describing individual differences. The language of personality description leans heavily on everyday language for encoding how people are similar to and different from one another. The reliance on everyday language accounts for the success of the lexical approach in providing robust broad factors for describing individuals (Goldberg, 1993). A limitation in developing a systematic language of description based on ordinary language is that dimensions to which humans are not sensitive do not become encoded in the language. Simplification is a key characteristic of human social cognition. For example, people may generate vocabulary that allows them to schematically represent consistent characteristics of persons. Inconsistencies may be ignored to simplify cognitive representations. Yet variability in behavior exists; manifest behavior is not always consistent with traits. The goal of the present study was to conceptualize several types of variability in interpersonal behavior that represent stable and distinctive features of individuals. An individual generates a stream of behavior occurring within interpersonal events that occur across time. Most commonly, the stream of behavior is characterized by a mean level, such as when behaviors are aggregated across events (e. It is also possible to characterize the stream of behavior in terms of regular cycles, such as the weekly cycles that occur in interpersonal behavior (Brown & Moskowitz, 1998). It may also be illuminating to characterize the stream of behavior in terms of its variability, the extent of fluctuations that occur within individuals across events. The present research focuses on the extent of temporal stability in intraindividual variability in interpersonal behaviors and the predictors of …
The serum profile of adipokines in overweight patients with metabolic syndrome.

INTRODUCTION Obesity is a disease that brings several complications and increases the risk of other diseases like metabolic syndrome, diabetes mellitus type 2, or coronary heart disease. Disturbances in secretion of adipokines caused by obesity have an influence on the development of metabolic complications. The aim of this study was an investigation of adipokines profile in overweight or obese people with metabolic syndrome in comparison to overweight/obese patients without metabolic syndrome. MATERIAL AND METHODS The studied groups consisted of 38 obese or overweight patients without metabolic syndrome (nonMS) and 17 with recognized metabolic syndrome (MS), according to International Diabetes Federation (IDF) criteria. All individuals underwent anthropometrical and blood-pressure examination as well as biochemical analyses such as: serum concentrations of glucose, insulin, adiponectin, resistin, leptin, TNF-alpha, IL-6, hs-CRP, total cholesterol, HDL, and triglycerides. RESULTS A significantly lower concentration of adiponectin, and a higher concentration of IL-6, was observed in patients with metabolic syndrome (MS) in comparison to nonMS. Moreover, higher concentrations of hs-CRP and TNF-alpha were observed in patients with metabolic syndrome. CONCLUSIONS A decreased concentration of adiponectin in obese people is an early predictor of metabolic syndrome. A low adiponectin level could be a marker of high risk of cardiovascular disease in obese patients. (Pol J Endocrinol 2010; 61 (1): 36-41).
Cosmological Singularities : Other matter models

Isotropic cosmological singularities are singularities which can be removed by rescaling the metric. In some cases already studied ([2], [1]) existence and uniqueness of cosmological models with data at the sin-gularity has been established. These were cosmologies with, as source, either perfect fluids with linear equations of state or massless, collision-less particles. In this article we consider how to extend these results to a variety of other matter models. These are scalar fields, massive collisionless matter, the Yang-Mills plasma of [3] and matter satisfying the Einstein-Boltzmann equation.
Hyperscanning : Simultaneous fMRI during Linked Social Interactions

A new methodology for the measurement of the neural substrates of human social interaction is described. This technology, termed “Hyperscan,” embodies both the hardware and the software necessary to link magnetic resonance scanners through the internet. Hyperscanning allows for the performance of human behavioral experiments in which participants can interact with each other while functional MRI is acquired in synchrony with the behavioral interactions. Data are presented from a simple game of deception between pairs of subjects. Because people may interact both asymmetrically and asynchronously, both the design and the analysis must accommodate this added complexity. Several potential approaches are described. © 2002 Elsevier Science (USA)