Miracle-dz/UniFAR-FTUs huggingface dataset:
Bounded depth quantum circuits

Qubits don’t last forever in fact, for the most part they don’t stick around for very long at all. Qubit decoherence makes it highly desirable to come up with quantum circuits that are very time efficient. In response to this problem, classes of quantum circuits called small depth, or bounded depth circuits, have emerged over the last 15 or so years. Based loosely on their classical counterparts, these circuits achieve small depth by taking advantage of the high degree of parallelization offered by the addition of a quantum fanout gate, and of ancilla qubits in a sense, they trade circuit depth for circuit breadth. Bounded depth circuits can replace their ‘normal’ counterparts in many interesting, and also commonly encountered situations, leading to circuits that can both scale and perform better.
Hopfield Neural Networks for Vector Precoding

We investigate the application of Hopfield neural networks (HNN) for vector precoding in wireless multiple-input multiple-output (MIMO) systems. We apply the HNN to vector precoding with N transmit and K receive antennas, and obtain simulation results for the average transmit energy optimization as a function of the system load α = K/N. We compare these results with lattice search based precoding performances, and show that the proposed method for nonlinear vector precoding with complexity O(K 3 ) achieves competitive performances in the range 0 <α ≤ 0.9 in comparison to lattice search based precoders. The proposed method is of a polynomial complexity and therefore, it is an attractive suboptimal approach for vector precoding. I. INTRODUCTION
Influence of a Probiotic Milk Drink, Containing Lactobacillus Paracasei Lpc-37, on Immune Function and Gut Microbiota in Elderly Subjects

Immunosenescence and alterations in the intestinal microbiota are associated with aging. Immune functions, as well as the intestinal microbiota, can potentially be modified and improved by probiotics, thus being particularly beneficial to elderly consumers. The ability of Lactobacillus paracasei Lpc-37 to modulate immune markers including phagocytic activity, natural killer (NK) cell activity and cytokine profiles, as well as composition and activity of the intestinal microbiota, in healthy elderly subjects was investigated in a randomised, double-blind, placebo-controlled study. Only very limited effects in the measured blood or faecal immune markers or intestinal microbiota could be detected between the fermented milk drinks with or without probiotics. Thus, no significant immunological or microbial effects of the probiotic fermented milk could be detected in this study population.
Remote control of mobile robots through human eye gaze: the design and evaluation of an interface

Controlling mobile robots remotely requires the operator to monitor the status of the robot through some sort of feedback. Assuming a vision based feedback system is used the operator is required to closely monitor the images while navigating the robot in real time. This will engage the eyes and the hands of the operator. Since the eyes are engaged in the monitoring task anyway, their gaze can be used to navigate the robot in order to free the hands of the operator. However, the challenge here lies in developing an interaction interface that enables an intuitive distinction to be made between monitoring and commanding. This paper presents a novel means of constructing a user interface to meet this challenge. A range of solutions are constructed by augmenting the visual feedback with command regions to investigate the extent to which a user can intuitively control the robot. An experimental platform comprising a mobile robot together with cameras and eye-gaze system is constructed. The design of the system allows control of the robot, control of onboard cameras and control of the interface through eye-gaze. A number of tasks are designed to evaluate the proposed solutions. This paper presents the design considerations and the results of the evaluation. Overall it is found that the proposed solutions provide effective means of successfully navigating the robot for a range of tasks.
Existence of Fixed Points of Asymptotically Generalized Φ-Hemicontractive Mappings in the Intermediate Sense

Let E be a real Banach space, C be a nonempty closed convex subset of E and T : C → C be a continuous generalized Φ-pseudocontractive mapping, Xiang [Chang He Xiang, Fixed point theorem for generalized Φ-pseudocontractive mappings, Nonlinear Analysis 70 (2009) 22772279] proved that T has a unique fixed point in C. It is our purpose in this study to extend the results of Xiang [11] to the class of asymptotically generalized Φ-hemicontractive mappings in the intermediate sense, recently introduced by Okeke, Olaleru and Akewe [6].
Intelligent computing for modeling axial capacity of pile foundations

In the last few decades, numerous methods have been developed for predicting the axial capacity of pile foundations. Among the available methods, the cone penetration test (CPT)-based models have been shown to give better predictions in many situations. This can be attributed to the fact that CPT-based methods have been developed in accordance with the CPT results, which have been found to yield more reliable soil properties; hence, more accurate axial pile capacity predictions. In this paper, one of the most commonly used artificial intelligence techniques, i.e., artificial neural networks (ANNs), is utilized in an attempt to develop artificial neural network (ANN) models that provide more accurate axial capacity predictions for driven piles and drilled shafts. The ANN models are developed using data collected from the literature and comprise 80 driven pile and 94 drilled-shaft load tests, as well as CPT results. The predictions from the ANN models are compared with those obtained from the most commonly .
Electron emission model for Hall thruster plasma modelling

Electron emission at low incident energy is a topic of interest for Hall Thrusters plasma modeling. Among others, it is suspected that it could have a non-negligible impact on unexplained plasma behaviors such as anomalous electron transport. Consequently, a precise model of electron emission fitted to Hall Thruster simulations could improve Hall Thrusters plasma understanding.This article present a complete model of electron emission at low energy, which describes emitted electrons in terms of yield, angular and energy distribution. It is based on a physical and analytic approach and allows describing electron emission variations depending on physical parameters. Preliminary results of this model are presented. ∗Ph.D. student, Department Physics, Instrumentation, Environment, spacE (DPhIEE), marc.villemant@onera.fr †Research Scientist, Department Physics, Instrumentation, Environment, spacE (DPhIEE), pierre.sarrailh@onera.fr ‡Research Scientist, Department Physics, Instrumentation, Environment, spacE (DPhIEE), mohamed.belhaj@onera.fr §Research Scientist, Department Physics, Instrumentation, Environment, spacE (DPhIEE), christophe.inguimbert@onera.fr ¶Senior Scientist at CNRS, GREPHE group, laurent.garrigues@laplace.univ-tlse.fr ‖Dr, electric propulsion R&T manager, Propulsion, Pyrotechnics and Aerothermodynamics section, Claude.Boniface@cnes.fr
Key Frame Extraction from a Video using Edge Change Ratio

With massive growth of video content the advancement in technology extraction of valid information from video has become a challenge. In order to obtain useful information from video, video has to be processed efficiently. Redundancy in a video is reduced by extracting key frames. Key frames represent the prominent content of video. This paper presents algorithm for key frame extraction. Edge change ratio method extracts the key frames representing the content of whole video. The extracted key frames can be used in various applications like content based video retrieval, video surveillance, video summarization etc.
Improved Adam Optimizer for Deep Neural Networks

Adaptive optimization algorithms, such as Adam and RMSprop, have witnessed better optimization performance than stochastic gradient descent (SGD) in some scenarios. However, recent studies show that they often lead to worse generalization performance than SGD, especially for training deep neural networks (DNNs). In this work, we identify the reasons that Adam generalizes worse than SGD, and develop a variant of Adam to eliminate the generalization gap. The proposed method, normalized direction-preserving Adam (ND-Adam), enables more precise control of the direction and step size for updating weight vectors, leading to significantly improved generalization performance. Following a similar rationale, we further improve the generalization performance in classification tasks by regularizing the softmax logits. By bridging the gap between SGD and Adam, we also hope to shed light on why certain optimization algorithms generalize better than others.
A multi-camera system for real-time pose estimation

This paper presents a multi-camera system that performs face detection and pose estimation in real-time and may be used for intelligent computing within a visual sensor network for surveillance or human-computer interaction. The system consists of a Scene View Camera (SVC), which operates at a fixed zoom level, and an Object View Camera (OVC), which continuously adjusts its zoom level to match objects of interest. The SVC is set to survey the whole filed of view. Once a region has been identified by the SVC as a potential object of interest, e.g. a face, the OVC zooms in to locate specific features. In this system, face candidate regions are selected based on skin color and face detection is accomplished using a Support Vector Machine classifier. The locations of the eyes and mouth are detected inside the face region using neural network feature detectors. Pose estimation is performed based on a geometrical model, where the head is modeled as a spherical object that rotates upon the vertical axis. The triangle formed by the mouth and eyes defines a vertical plane that intersects the head sphere. By projecting the eyes-mouth triangle onto a two dimensional viewing plane, equations were obtained that describe the change in its angles as the yaw pose angle increases. These equations are then combined and used for efficient pose estimation. The system achieves real-time performance for live video input. Testing results assessing system performance are presented for both still images and video.
Characterization of Perfect Ulam Permutation Codes via Spheres and Young Tableaux

Permutation codes in the Ulam metric have recently been proposed for use in flash memory devices. We explore the possibility of perfect permutation codes in the Ulam metric by considering sphere sizes of permutations in the Ulam metric. We ako introduce new a method to calculate exact sphere sizes using Young Tableaux. The discussion is then extended to multipermutation codes, where we consider sphere sizes toward understanding perfect Ulam multipermutation codes.
Mining Twitter for Adverse Drug Reaction Mentions : A Corpus and Classification Benchmark

With many adults using social media to discuss health information, researchers have begun diving into this resource to monito r or detect health conditions on a population level. Twitter, specifically, has flourished to several hundred m illion users and could present a rich information source for the detection of serious medical conditions, like adverse drug reactions (ADRs). However, Twit ter also presents unique challenges due to brevity, lack of structure, and informal language. We present a freely available, manually annotated corpus of 10,822 tweets , which can be used to train automated tools to mine Twitter for ADRs. We collected tweets utilizing drug names as keywords, but expanding them by applying an algorithm to generate misspelled v ersions of the drug names for maximum coverage. We annotated each tweet for the presence of a mention of an ADR , and for those that had one, annotated the mention ( including span and UMLS IDs of the ADRs ). Our inter - annotator agreement for the binary clas sification had a Kappa value of 0.69 , which may be considered substantial (Viera & Garrett , 2005). We evaluated the utility of the corpus by training two classes of machine learning algorithms: Naïve Bayes and Support Vector Machines. The results we presen t v alidate the usefulness of the corpus for automated mining tasks . The classification corpus is available from http://diego.asu. edu /downloads .
CAUSES OF ANTISOCIAL BEHAVIOR OF ADOLESCENTS

Problems of antisocial behavior today are not only consequence of bad material conditions, nowadays they ensue more and more from contradictories of rich society that gave to everyone proportionally high standards in the area of work and behavior, but not in consumption field. This state brings us to the conclusion that today we live in structurally dissatisfied society, that is a base of many antisocial behavior problems. To prevent successfully antisocial behavior, it is necessary to research a wide field of disorders in social behavior of adolescents, from their most common forms, causes, to the consequences which this kind of behavior has on an individual and its social environment. The causes of escalated juvenile delinquency are found even in the school system, economic instability, bad influence of peers and also in neglect or excessive care of parents. In this paper, the author is focused on the most dominant causes of social behavior disorders. Target group are adolescents in high school, just because in this life period young people tend to absorb different forms of socially unacceptable behavior depending on the sex of adolescent. The paper gives a few topics for new researches. Key words: adolescence, antisocial aggressive behavior, delinquency, deviant subculture and counterculture, dissocial behavior.
Evolution of karyotype, sex chromosomes, and meiosis in mygalomorph spiders (Araneae: Mygalomorphae)

Spider diversity is partitioned into three primary clades, namely Mesothelae, Mygalomorphae, and Araneomorphae. Mygalomorph cytogenetics is largely unknown. Our study revealed a remarkable karyotype diversity of mygalomorphs. Unlike araneomorphs, they show no general trend towards a decrease of 2n, as the chromosome number was reduced in some lineages and increased in others. A biarmed karyotype is a symplesiomorphy of mygalomorphs and araneomorphs. Male meiosis of some mygalomorphs is achiasmatic, or includes the diffuse stage. The sex chromosome system X1X20, which is supposedly ancestral in spiders, is uncommon in mygalomorphs. Many mygalomorphs exhibit more than two (and up to 13) X chromosomes in males. The evolution of X chromosomes proceeded via the duplication of chromosomes, fissions, X–X, and X-autosome fusions. Spiders also exhibit a homomorphic sex chromosome pair. In the germline of mygalomorph males these chromosomes are often deactivated; their deactivation and pairing is initiated already at spermatogonia. Remarkably, pairing of sex chromosomes in mygalomorph females is also initiated at gonial cells. Some mygalomorphs have two sex chromosome pairs. The second pair presumably arose in early-diverging mygalomorphs, probably via genome duplication. The unique behaviour of spider sex chromosomes in the germline may promote meiotic pairing of homologous sex chromosomes and structural differentiation of their duplicates, as well as the establishment of polyploid genomes. © 2013 The Linnean Society of London, Biological Journal of the Linnean Society, 2013, 109, 377–408.
Introgression of phenoxy herbicide resistance from Raphanus raphanistrum into Raphanus sativus

Phenoxy herbicides such as 2,4-dichlorophenoxy acetic acid (2,4-D) and 4-chloro-2-methylphenoxy acetic acid (MCPA) are selective herbicides used extensively in agriculture for weed control. Wild radish (Raphanus raphanistrum) is a problem weed across the globe and heavily infests crop fields in Australia. Phenoxy herbicides are used to selectively control dicot weeds, including wild radish. As a result of selection, phenoxy-resistant wild radish populations evolved in Western Australia. In this research, introgression of phenoxy resistance from wild radish to cultivated radish (Raphanus sativus) was investigated following classical breeding procedures. F1 progeny were generated by crossing MCPA-resistant R. raphanistrum and MCPA-susceptible R. sativus . F 1 hybrids were screened for MCPA resistance. The MCPA-resistant F1 hybrids were used to produce three generations of backcross progeny. Genetic analyses of F1 and backcross progeny demonstrated introgression of the MCPA-resistant trait from wild radish to cultivated radish. Implications of phenoxy resistance introgression into cultivated radish include potential development of herbicidetolerant radish cultivars or other members of the Brassicaceae family.
Trade in Value Added: An East Asian Perspective

This paper aims to provide a non-technical explanation of the concept of trade in value added, with particular reference to East Asia. The trade in value added approach allows us to redefine the relationship between countries of origin and destination in international trade, and thereby addresses an important issue of measuring international trade in the face of growing production sharing among different countries. In contrast to the orthodox concept of trade balances based on foreign trade statistics, it focuses on the value added contents of a traded product, and considers each country’s contribution to the value added generation in a production process.
SCREENING AND DIAGNOSIS OF AUTISM SPECTRUM DISORDERS

Objectives: Develop and examine a new screening and diagnostic framework for autism spectrum disorders (ASD), and study the prevalence of ASD in 2-year-old children in Gothenburg. Methods: Psychometric properties of the Swedish version of the Diagnostic Interview for Social and COmmunication disorders (DISCO) were examined in 91 patients aged 2-40 years referred for assessment of ASD. Twenty-one children screening positive for language delay at the Child Health Centres (CHCs) at 2.5 years were followed up with comprehensive neuropsychiatric assessments at 7.5 years. Another CHC general population sample of several thousand 2.5-year-olds was screened for ASD using the Modified Checklist for Autism in Toddlers (M-CHAT) and a new joint attention observation measure, the JA-OBS. Children screening positive for ASD were given very comprehensive ASD diagnostic assessments (including the DISCO) in a specialised centre. Prevalence rates for ASD in one age cohort were estimated. Some psychometric properties of the CHC screening instruments were examined. Results: The psychometric properties of the DISCO were found to be good to excellent. In the “language cohort” 13/21children had a neuropsychiatric disorder at the age of 7 years (of whom several had ASD). The prevalence of ASD in 2-year-olds in 2010 was 0.80%. Corresponding rates for 2-year-olds referred to the specialised centre in 2000 and 2005 (when no population screening had occurred) were 0.18% and 0.04%. The Positive Predictive Value (PPV) for the combination of M-CHAT (+ M-CHAT interview) and the JA-OBS was 90%, and the sensitivity 96%. Discussion: ASD is a relatively common neurodevelopmental disorder that can be detected at high rates already at child age 2 years (prevalence 0.80%). The DISCO appears to be a good instrument in diagnostic assessment both for clinical use and in research. A positive language screen at age 2.5 years should be regarded as an indicator of other possible neurodevelopmental problems, Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations (ESSENCE), including ASD. The combination of instruments, M-CHAT and JA-OBS, has excellent PPV and sensitivity and the new screening programme shows promise for early detection of ASD as a routine in the developmental program at CHCs. Trained medical staff is a basic requirement and enables earlier detection and the use of screening tools also beyond routine population screening regardless of the age at which a suspicion of autism is raised. Crucial for screening are effective routines for further diagnostic assessments and interventions without delay. Keywords: autism spectrum disorder (ASD), prevalence, early symptoms, screening, diagnostic
The role of Keap 1-Nrf 2-ARE signal pathway in diabetic retinopathy oxidative stress and related mechanisms

Objective: Diabetic retinopathy (DR) is one severe complication of diabetes, and involves reactive oxygen species (ROS) produced under oxidative stress (OS) conditions. Keap1-Nrf2-ARE is one important endogenous antiOS signal pathway. This study generated a type 2 DR rat model, on which expression of Nrf2/ARE pathway related proteins were measured to investigate functional role and mechanism of Keap1-Nrf2-ARE signal pathway in DR. Patients and Methods: Using DR model rats, blood samples were collected for measuring FBG, TC, TG, HDL-C, and LDLC for evaluating blood glucose and lipid. Retinas were collected for measuring ROS content using DCFH-DA staining, and caspase-3 activity was measured by colorimetry. Cell apoptosis was measured by flow cytometry. Keap1 and Nrf2 proteins were quantified by Western blot. Aqueous humor was collected for measuring MDA, SOD, GSH-Px, and T-AOC. Results: Model rats had significantly elevated blood FBG, TG, TC, and LDL-C, plus decreased HDL-C. Model rats also had higher retinal ROS content, enhanced caspase-3 activity, and potentiated apoptosis. Compared to the control group, model rats had elevated MDA and lower activity of SOD, GSH-Px, and T-AOC in aqueous humor, plus lower Keap1 and higher Nrf2 expression in retina. Conclusion: DR rats showed significantly elevated retinal apoptosis, with prominent OS. Under diabetic conditions, activation of Keap1-Nrf2-ARE pathway may play a role in alleviating OS damage and protecting retina.
Design and Implementation of IoT Based Home Automation

-In the olden days electrical, electronic and electromechanical devices were supporting all the day to day life activities. Some devices were fully automated and some were semi-automated. Due to the advancement in computer and communication technology, the trend is more towards the automation of most of the activities which are needed in a day to day activities with very less human intervention. In this project, we are proposing an automated tool which works on the concept of Internet of Things which is basically electronic and communication technology which controls the home appliances such as light, fan, water tap, geyser, air conditioner and washing machine.
Review of Cape Verde Aphanommata Wollaston, 1873 (Coleoptera: Curculionidae: Cossoninae) with Description of New Species, Larva and Notes on Biology and Distributional Patterns

The genus Aphanommata in the Old World is reviewed. Aphanommata kuscheli sp. nov. from Sao Nicolau and A. strakai sp. nov. from Fogo (both Cape Verde islands) are described. Aphanommata euphorbiarum (Wollaston, 1867) from Santo Antao in the Cape Verde islands is redescribed and its lectotype is designated. All three Aphanommata species from the Cape Verde islands as well as A. filum (Mulsant and Rey, 1859) from Old World are diagnosed, illustrated, and keyed. Mature larva of A. kuscheli sp. nov. is described, larval morphology is discussed and the current state of knowledge about immature stages of Cossoninae is summarized. Vertical and inter-insular distributional pattern of Cape Verde Aphanommata and Pselactus is reviewed and discussed.