Miracle-dz/UniFAR-FTUs huggingface dataset:
IMMIGRANTS AND CRIME: THE RELATIONSHIP BETWEEN FOREIGN- BORN POPULATIONS AND CRIMINAL ACTIVITY AT THE STATE LEVEL

The purpose of the present study is to examine the relationship between immigration and criminal activity. The present study uses annual, state-level data on foreign-born populations and a fixed effects model. Most prior studies on this topic used city-level data. Results suggest that foreign-born populations have no significant effects on most state-level crime rates. States with higher percentages of foreign-born populations have statistically similar crime rates to those states with lower percentages of foreign-born populations. There is, however, a significant and negative relationship between rape and foreign-born populations. States with higher percentages of foreign-born populations have lower reported rates of rape. These results are noteworthy because they suggest that the percentage of the state population that is foreign born does not result in more criminal activity at the state-level.
The Biological Substrates of Alzheimer's Disease

This book contains 21 selections. Some of the titles are: Dementia of the Alzheimer Type: Genetic Aspects; Determination of Cerebral Metabolic Patterns in Dementia Using Positron Emission Tomography; Pathology of the Basal Forebrain in Alzheimer's Disease and Other Dementias; Characterization of Neurofibrillary Tangles with Monoclonal Antibodies Raised Against Alzheimer Neurofibrillary Tangles; and HLA Associations in Alzheimer's Disease.
Identification of Founding Accessions and Patterns of Relatedness and Inbreeding Derived from Historical Pedigree Data in a White Clover Germplasm Collection in New Zealand

Pedigrees provide suitable input for tracking breeding crosses and monitor plants and animal populations. Pedigree analysis is an essential tool to visualize and describe population structure and genetic diversity. Pasture plant breeding relies on a range of strategies from closed system recurrent selection using elite cultivars to diversity-focused programs using ecotypes and wild germplasm as parents. There is currently no published pedigree analysis of white clover (Trifolium repens L.), despite over a century of breeding efforts in New Zealand. A pedigree map was constructed for white clover germplasm stored in the Margot Forde Germplasm Centre located in Palmerston North, New Zealand. Inbreeding and kinship coefficients and the effective number of founders through time were estimated to assess genetic relatedness in the reference population. A total of 15,265 accessions were included in the map. The maximum number of traced generations was 15, and the mean completeness of parentage for the reference population was 72%. The mean number of offspring was 5.14. The origin of founding and introduced accessions was assessed. The effective number of founders was 175.68 or 17.5% of the total number of reference founders. Founding accessions and influencing ancestors were identified. One of the earliest parental accessions identified was ‘North Canterbury Type I’ from 1941. Relatedness was determined using the k coefficient, with k = 1 as complete relatedness. The overall mean relatedness was k = 0.002. Overall mean inbreeding level was 0.39%. Relatedness and inbreeding coefficients revealed distinct germplasm pools formed across time that are of interest to pre-breeding efforts. L.M. Egan and V. Hoyos-Villegas, AgResearch Lincoln Research Centre, PB 4749, Christchurch, New Zealand; L.M. Egan and R.W. Hofmann, Faculty of Agriculture and Life Sciences, Lincoln Univ., Lincoln, New Zealand; B.A. Barrett and K. Ghamkhar, AgResearch Grassslands Research Centre, PB 11008, Palmerston North, New Zealand; V. Hoyos-Villegas, current address, Dep. of Plant Science, McGill Univ., Ste-Anne-de-Bellevue, QC, Canada. Received 18 Nov. 2018. Accepted 17 Apr. 2019. *Corresponding author (valerio.hoyos-villegas@mcgill.ca). Assigned to Associate Editor Bradley Bushman. Abbreviations: COP, completeness of parentage; MFGC, Margot Forde Germplasm Centre; NPGS, National Plant Germplasm System. Published in Crop Sci. 59:2087–2099 (2019). doi: 10.2135/cropsci2018.11. 0688 © 2019 The Author(s). This is an open access article distributed under the CC BY license (https://creativecommons.org/licenses/by/4.0/).
Discrimination , Limitation , and Challenges

Cochlear implant (CI) surgery has been available to profoundly deaf children and adults for about 40 years (Christiansen & Leigh, 2002). In the United States, the National Institute on Deafness and Other Communication Disorders (2016) reported that by the end of 2012 about 324,200 CI devices had been implanted worldwide. Congenitally deaf children are increasingly being implanted at a young age. In the United Kingdom, for example, between 2006 and 2011, 74% of eligible children ages 0–3 years received a CI (Raine, 2013). The successful outcomes of cochlear implantation in regard to audition and spokenlanguage development, particularly for those who have CI surgery at a young age, have been widely reported (see, e.g., Niparko & Marlowe, 2010), but research has also drawn attention to the difficulties of communication and social participation that continue to be experienced by children and young people with CIs (e.g., BatChava & Deignan, 2001; Punch & Hyde, 2011). At the same time, policies promoting integrated schooling have resulted in the decline of specialized deaf schools and bilingual/bicultural approaches to deaf education (Swanwick HE DEGREE to which individuals with cochlear implants (CIs) experience communication difficulties has implications for social participation and identity development. However, few studies have examined the relationship between cochlear implantation, identity, and social participation. Using data from a Danish national survey of deaf adults, the authors examined the significance of having (or not having) a CI in regard to identity (categorized as deaf, hearing, bicultural, and marginal) and various related factors concerning social participation and experiences of being deaf. Cochlear implantation was found to be associated with type of identity, type and quality of friendships and social activities, and feelings of limitation attributed to hearing loss. Age was a significant factor: These associations were mainly found among participants older than age 25 years. The authors discuss the results in dialogue with the concept of social identity and the history of the bilingual/bicultural tradition in Denmark. MADELEINE CHAPMAN AND JESPER DAMMEYER
Automatic English phoneme recognition from articulatory data generated by EPG systems with grid and anatomical layout of contact sensors

The aim of the study was to conduct automatic phoneme identification from articulatory data that accompanied the production of these phonemes in continuous speech. The articulatory data were obtained from 2 electropalatographic systems, Palatometer by Complete Speech and Linguagraph by Rose-Medical. Palatometer was used with the artificial palate containing 124 contact sensors in a grid layout, including 2 sensors monitoring the lip contact. The palate included a vacuum-thermoformed flexible printed circuit. Linguagraph was used with the acrylic artificial palate designed and developed for the purpose of this study, containing 62 electrodes in anatomical layout. Palatometer was used by one native of General American and Linguagraph by one native of General British, each reading 140 phonetically balanced sentences that included Harvard Sentences and TIMIT prompts. The EPG data were parametrised into dimensionality reduction indexes, which were analysed by means of linear discriminant analysis and a probabilistic neural network. The results of classifications are discussed.
An Empirical Study of Intention of Usage of Health Information on the Internet : Comparison by Gender *

논문투고일:2011년 07월 22일 논문수정완료일:2011년 08월 13일 논문게재확정일:2011년 09월 05일 * 본 연구자들은 초고에 유익한 고견을 제안해주신 편집위원님과 심사위원님들께 감사드립니다. 이 논문은 2011년 상지대학교 교내 연구비 지원에 의한 것임. ** 상지대학교 경영정보학과 조교수 *** 상지대학교 경영정보학과 교수, 교신저자 **** 타이완 명전대학교 응용컴퓨팅학과 조교수 Since the general quality of life has been improving, people have become interested in “well-being. ” The widespread acceptance of the importance of “well-being” to quality of life has encouraged people to take more interest in getting health information online when they need it. Expansive use of online health information suggests that individual characteristics (i.e., gender and other traits), Website features, and perceived trust are related to the primary concern for many online health information consumers. This study examines whether familiarity, perceived security, and reputation of health information on various Websites influence the relationship of trust and intention to use by gender. These research results will contribute to the adoption of online health information by gender and, moreover, will provide companies with an understanding of key characteristics of consumers who use emoticons and provide useful implications for marketing strategies to current and future consumers. Keyword:Internet, Health Information, Trust, Behavior Intention to Use, Experience, Security, Familiarity, Reputation 韓國IT서비스學會誌 第10卷 第3號 2011年 9月
Learning Deep Conditional Neural Network for Image Segmentation

Combining Convolutional Neural Networks (CNNs) with Conditional Random Fields (CRFs) achieves great success among recent object segmentation methods. There are two advantages by such usage. First, CNNs can extract low-level features, which are very similar to the extracted features in primates’ primary visual cortex (V1). Second, CRFs can set up the relationship between input features and output labels in a direct way. In this paper, we extend the first advantage by using CNNs for low-level feature extraction and a Structured Random Forest (SRF)-based border ownership detector for high-level feature extraction, which are similar to the outputs of primates secondary visual cortex (V2). Compared to the CRF model, an improved Conditional Boltzmann Machine (CBM), which has a multi-channel visible layer, is proposed to model the relationship between predicted labels, local and global contexts of objects with multi-scale and multilevel features. Besides, our proposed CBM model is extended for object parsing by using multivisible branches instead of a single visible layer of CBM, which cannot only segment the whole body but also the parts of the body under. These visible branches use each branch for the segmentation of the whole body or one of the body parts. All branches share the same hidden layers of CBM and train the branches under an iterative way. By exploiting object parsing, the whole body segmentation performance of object is improved. To refine the segmentation output, two kinds of optimization algorithms are proposed. The superpixel-based algorithm can re-label the overlapped regions of multiple kinds of objects. The other curve correction algorithm corrects the edges of segmented object parts by using smooth edges under a curve similarity criterion. Experiments demonstrate that our models yield competitive results for object segmentation on the PASCAL VOC 2012 dataset and for object parsing on the PennFudan Pedestrian Parsing dataset, Pedestrian Parsing Surveillance Scenes dataset, Horse-Cow parsing dataset, and PASCAL Quadrupeds dataset.
Evaluating Chinese Generation Y‘S Expectation of E-Service Quality from on-line Tourism Products

Upon the enactment of the reform and openingup policy, the rapid development of the tourism industry leads to apparent competitive advantages for China‟s economy (2) . According to a sample survey on domestic tourism (3) , the number of domestic tourists reached 50. 01 billion in 2017, marking a 12.8% increase from last year. The number of urban and rural residents reached 3.677 billion (15.1% increase) and 1.324 billion (6.8% increase), respectively. Domestic tourism revenue reached 4.57 trillion Yuan, indicating a trend of 15. 9% increase annually. Urban and rural residents spent 3. 77 trillion Yuan (16.8% increases) and 0.80 trillion Yuan (11.8% increase), respectively.
University of Dundee ROS / TRPA 1 / CGRP signaling mediates cortical spreading depression

Objectives: The transient receptor potential ankyrin A 1 (TRPA1) channel and calcitonin gene-related peptide (CGRP) are targets for migraine prophylaxis. This study aimed to understand their mechanisms in migraine by investigating the role of TRPA1 in cortical spreading depression (CSD) in vivo and exploring how reactive oxygen species (ROS)/TRPA1/CGRP interplay in regulating cortical susceptibility to CSD. Methods: Immunohistochemistry was used for detecting TRPA1 expression. CSD was induced by K on the cerebral cortex, monitored using electrophysiology in rats, and intrinsic optical imaging in mouse brain slices, respectively. Drugs were perfused into contralateral ventricle of rats. Lipid peroxidation (malondialdehyde, MDA) analysis was used for indicating ROS level. Results: TRPA1 was expressed in cortical neurons and astrocytes of rats and mice. TRPA1 deactivation by an anti-TRPA1 antibody reduced cortical susceptibility to CSD in rats and decreased ipsilateral MDA level induced by CSD. In mouse brain slices, H2O2 facilitated submaximal CSD induction, which disappeared by the antioxidant, tempol and the TRPA1 antagonist, A-967079; Consistently, TRPA1 activation reversed prolonged CSD latency and reduced magnitude by the antioxidant. Further, blockade of CGRP prolonged CSD latency, which was reversed by H2O2 and the TRPA1 agonist, allyl-isothiocyanate, respectively. Conclusions: ROS/TRPA1/CGRP signaling plays a critical role in regulating cortical susceptibility to CSD. Inhibition ROS and deactivation of TRPA1 channels may have therapeutic benefits in preventing stress-triggered migraine via CGRP.
Analysis of Bhutanese native chickens genetic diversity by microsatellite markers

Four Bhutanese native chickens and commercial lines were genotyped at 18 microsatellite loci to investigate genetic diversity. A total of 160 alleles were scored with the mean value of 8.87± 0.55 across populations. Substantial genetic variations were examined for all populations with Khuilay and Yuebjha Narp represented the highest and lowest genetic variability among Bhutanese native chickens. The genetic differentiation was moderate among six chicken populations. A Neighbour-joining tree revealed a distinct separation of Bhutanese native chickens from commercial chickens. It is concluded that Bhutanese native chicken represented unique population and valuable genetic resources for effective conservation and utilization.
Title Augmented Prototyping of 3 D Rigid Curved Surfaces

This paper presents an application of Augmented Reality (AR) in Rapid Prototyping (RP) of non-textured rigid curved surfaces. By enhancing the prototypes with AR, evaluation of its design and aesthetic concepts in real-time becomes easier, saving time and production costs. In our application, no fiducial markers are required and the CAD model used to build the prototype is applied in an edge-based tracking system specially designed to deal with curved shapes. Results from a pilot user study comparing the use of a 3D software and the proposed application are also presented.
Droplet growth in warm turbulent clouds 1 Droplet growth in warm turbulent clouds

B.J. Devenisha∗ P. Bartellob, J.-L. Brenguierc, L.R. Collinsd, W.W. Grabowskie, R.H. A. IJzermansf, S.P. Malinowskig, M.W. Reeksf, J.C. Vassilicosh, L. -P. Wangi, Z. Warhaftd,j aMet Office, Fitzroy Road, Exeter, EX1 3PB, UK bMcGill University, Montreal H3A 2K6, Canada cMétéo-France/CNRS, GAME/CNRM, Toulouse, France dSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA eNational Center for Atmospheric Research, Boulder, CO, USA fSchool of Mechanical and Systems Engineering, University of Newcastle, Newcastle-upon-Tyne, NE1 7RU, UK gUniversity of Warsaw, Institute of Geophysics, Warsaw, Poland hInstitute for Mathematical Science and Department of Aeronautics, Imperial College London, London SW7 2BY, UK iDepartment of Mechanical Engineering, University of Delaware, Newark, DE 19716, USA jAtkinson Center For a Sustainable Future, Cornell University, Ithaca, NY 14853, USA Correspondence to: Met Office, Fitzroy Road, Exeter, EX1 3PB, UK Email: ben.devenish@metoffice.gov. uk
Investment Portfolio optimization on Russian Stock Market in Context of Behavioral Theory

The paper investigates possible investment portfolio optimization considering behavioral errors. The research rationale is due to the adaption of the investment recommendations for unqualified investors on the Russian stock market. In economic literature, the consequences of behavioral effects are not detailed enough when making a portfolio of Russian securities. The aim of the article is to make the most optimal portfolio based on the risk/reward ratio. The author made a hypothesis on applying various periods of profitability analysis to improve profitability indicators and increase the subjective probability of its achievement. To build a portfolio model, the behavioral portfolio theory and its optimization through linear programming were used. The study was based on modeling the investment portfolio of the most liquid stocks on the Russian stock market. Modified elements of the cumulative prospect theory with behavioral coefficients were used as indicators of profitability and probability. Based on the analysis results, the model of semi-annual portfolio analysis was proposed as a tool for portfolio optimization. The investor review of the portfolio semi-annual rate of profitability led to its best final index of effectiveness. In the medium-term assessment of portfolio profitability, the influence of behavioral factors decreases while maximizing returns with medium high risk. The research result is consistent with the basics of behavioral economics as the prospect theory regarding risk and loss aversion. Moreover, the factor of frequency of access to information and the degree of naive portfolio diversification with high profitability are promising areas for the development of research in behavioral finance. However, determining by the investor the objective probability to achieve the expected return level by using specific benchmarks is controversial.
Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing

Image augmentation is a widely used technique to improve the performance of convolutional neural networks (CNNs). In common image shifting, cropping, flipping, shearing and rotating are used for augmentation. But there are more advanced techniques like Cutout and SamplePairing. In this work we present two improvements of the state-of-the-art Cutout and SamplePairing techniques. Our new method called Copyout takes a square patch of another random training image and copies it onto a random location of each image used for training. The second technique we discovered is called CopyPairing. It combines Copyout and SamplePairing for further augmentation and even better performance. We apply different experiments with these augmentation techniques on the CIFAR-10 dataset to evaluate and compare them under different configurations. In our experiments we show that Copyout reduces the test error rate by 8.18% compared with Cutout and 4.27% compared with SamplePairing. CopyPairing reduces the test error rate by 11.97% compared with Cutout and 8.21% compared with SamplePairing. Copyout and CopyPairing implementations are available at https://github.com/t-systems-on-site-services-gmbh/coocop.
THE EFFECT OF PROFITABILITY, SOLVABILITY AND COMPANY SIZE ON THE COMPANY VALUE

This study aims to determine the effect of Profitability, Solvability, and Company Size on Company Values on LQ-45 companies for the period 2015-2017. As many as 99 companies registered in the LQ-45 index were sampled. This study chooses the purposive sampling method to obtain the data. This study uses multiple regression analysis techniques to reach the inferred results.The results of this study show that profitability and company size have positive influence on company value; solvency does not have an influence son company value.
Removal from EEG using Spatially Constrained Independent Component Analysis and Wavelet Denoising with Otsu ’ s Thresholding Technique

This paper presents a novel technique for removing the artifacts from the ElectroEncephaloGram (EEG) signals. EEG signals are influenced by different characteristics, like line interference, EOG (electro-oculogram) and ECG (electrocardiogram). The elimination of artifact from scalp EEGs is of substantial significance for both the automated and visual examination of underlying brainwave actions. These noise sources increase the difficulty in analyzing the EEG and obtaining clinical information related to pathology. Hence it is crucial to design a procedure to decrease such artifacts in EEG records. This paper uses Spatially-Constrained Independent Component Analysis (SCICA) to separate the Independent Components (ICs) from the initial EEG signal. As the next step, Wavelet Denoising (WD) is applied to extract the brain activity from purged artifacts, and finally the artifacts are projected back and subtracted from EEG signals to get clean EEG data. Here, thresholding plays an important role in delineating the artifacts and hence a better thresholding technique called Otsu’, thresholding is applied. Experimental results show that the proposed technique results in better removal of artifacts. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICCTSD 2011
Report # MATC-UNL : 205 Final Report Impact of Truck Loading on Design and Analysis of Asphaltic Pavement Structure-Phase IV : Mixed-mode Fracture Characterization

The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. This document is disseminated under the sponsorship of the Department of Transportation University Transportation Centers Program, in the interest of information exchange. The U.S. Government assumes no liability for the contents or use thereof. Report # MATC-UNL: 205 Final Report
Paper miR-181 a regulates multiple pathways in hypopharyngeal squamous cell carcinoma

1 Department of Biomedical Science, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. 2 Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. 3 UPM-MAKNA Cancer Research Laboratory Institute of Bioscience, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia. 4 Department of Otorhinolaryngology, Taiping General Hospital, Jalan Taming Sari, 34000 Taiping, Perak, Malaysia.
The impact of corporate social responsibility on customer attitudes and retention

Although many studies report positive effects of corporate social responsibility (CSR) on customer attitudes, recent literature shows that the effectiveness of CSR initiatives critically varies among consumers, brands, and companies. Using 1375 customer responses about 93 brands in 18 industries, we examine how perceived CSR relates to customer attitudes and actual retention 2 years later, and specifically how this relationship may be contingent on brand characteristics. Our results indicate that perceived CSR can indeed compensate for the absence of a strong brand or smaller advertising budgets, but not for lack of innovativeness. Companies that simultaneously do good and innovate are rewarded with more positive customer attitudes and higher levels of customer retention.