Miracle-dz/UniFAR-FTUs huggingface dataset:
AN OVERVIEW OF TECHNOLOGY EVOLUTION : INVESTIGATING THE FACTORS INFLUENCING NON-BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT

Today, the technological revolution influenced the methods of payment. Most interesting is that our perception towards money is changing, and we are beginning to try forms of money which have not been used or seen previously in history of human such as cryptocurrency or digital currencies. Since the factors influence the adoption of bitcoins still unknown, this study aims to investigate the user’s behavioural intention use bitcoins as a payment method. Based on the literature review, this study used Amos 18 to analyse the collected data from 161 participants. The finding indicate that all research hypotheses were supported except hypothesis measures the effect of security and control on user perceived self-efficacy to use Bitcoins. In term of measuring the user’s intention to adopt bitcoins, the data analysis illustrate that all hypotheses were significantly supported. Among all constructs, the highest effect on user’s intention comes from perceived trust and the lowest affect is transaction processing. This study has contributed to our understanding of current knowledge of user adoption theory in the context of cryptocurrency. Also, based on the sample uses on this study, farther data collection to compare the adoption of current bitcoins users with non-users is need it.
The Contribution of Human Capital and Urbanization to Canadian Regional Growth 1

This paper investigates the conditional convergence of both human capital indicators and per capita income across Canadian provinces in an empirical framework. In this framework, long-run relative provincial steady states are determined by relative rates of urbanization and one-time shocks to Quebec and Alberta’s relative steady states. As predicted by the theoretical framework of Barro, Mankiw, and Sala-i-Martin (1995), we found that indicators of relative human capital ratios appear to have converged at roughly the same speed as per capita income—around 5 per cent in the 1951–1996 period. The quantitative effects of urbanization and regional shocks to relative human capital and per capita income are similar, with one exception: In Alberta, the 1973 oil shock contributed to the rise in per capita income but not in human capital. In comparison, however, the negative shock in 1970 to Quebec’s convergence path appears to have affected the evolution of both human capital and per capita income.
Timbre Memory , Familiarity and Dissimilarity

This study examines the effect of timbre memory decay on the perception of timbre dissimilarity in tones equalized in pitch, loudness and duration. This study makes two hypotheses: (1) the perception of timbre dissimilarity changes as retention interval (RI) increases; (2) timbre familiarity minimizes the perceptual change of timbre dissimilarity with increasing RI. Two experiments were conducted to test these hypotheses. In the first experiment, participants rated the dissimilarity of synthetic tone pairs with RIs of 0.5 s, 5 s and 10 s. In the second experiment, participants rated the dissimilarity of pairs of synthetic tones, digital transformations of acoustic sounds or acoustic instrument sounds with five RIs between 0.5 s and 5 s. The results of the two experiments show that participants perceive similar pairs as significantly more dissimilar as RI increases, particularly for highly unfamiliar synthetic tones, that RI has less of an effect on more dissimilar pairs, and that timbre familiarity minimizes the RI effect on dissimilarity ratings.
Mycosphaerella spp . and their anamorphs associated with leaf spot diseases of Eucalyptus

The aim of this taxonomic treatment of Mycosphaerella spp. on Eucalyptus leaves and its anamorphs is the analysis of the heterogeneous genus Mycosphaerella. At the same time, the book provides a practical identification book in which the systematic position of the various taxa is also discussed. The data collected and analysed result from material examined on the host leaves and from extensive cultural studies. A total of 57 species including 6 new taxa of Mycosphaerella are treated. Anamorph species in the genera Cercospora, Lecanostictopsis, Mycovellosiella, Passalora, Phaeoramularia, Pseudocercospora, Pseudocercosporella, and Stigmina are also described. A brief introduction and overview outline the difficulties of assigning leaf blotch diseases to the respective Mycosphaerella species. The heterogeneity of this genus has been analysed numerically by multiple correspondence analysis (MCA) to detect characters relevant for species separation, e.g. germination pattern of ascospores, and to group species. The resulted minimum spanning tree shows that the 18 Mycosphaerella species with known anamorphs cluster according to their anamorphic genera. Two keys to the identification of the teleomorphs and the anamorphs are provided. At first sight, these keys are well suitable to identify such a specimen, but their regular, practical use will have to prove it. The main part of the book includes the species descriptions in strict alphabetical order. They are clearly structured and therefore easy to read. Each taxon is completely illustrated by excellent line drawings, some of them and the associated disease symptoms by photographic plates. In several cases (e.g. figs. 20-32, 50-57, 68-77), however, the size has been too much reduced, thus diminishing their information content. Figure 3, representing the characters for species separation, is very crowded, especially in the centre areas. A larger scale might have helped to a better reading. The book ends with notes on species not treated and a discussion on the placement of M. mycopappi in Didymella and the placement of its anamorph in a new genus (Xenostigmina zilleri). A general index and an index to the host plants completes the book. In the whole, the book is a very valuable contribution to the knowledge of the genus Mycosphaerella and the respective anamorphs. It is based on extensive literature review and careful examination of material, including types, and standardised culturing work. I am delighted to see such a large taxonomic treatment published, which is certainly a must for all mycologists interested in this complex and fascinating genus.
Bioremediation of Olive Oil Mill Wastewaters by Fungal ( Trichoderma viride , strain 8 / 90 ) Sequencing batch reactor

Olive oil mill wastewaters (OOMWs) still represent an important environmental problem due to the several difficulties which has to be faced for their disposal.The performance of a lab-scale Sequencing Batch Reactor (SBR) for olive oil mill wastewater (OOMW) treatment was investigated. The reactor, preliminarily filled with suspended solids free OOWM was inoculated with Trichoderma viride (strain 8/90) fungal biomass. Influent and effluent dissolved organic carbon (DOC), total suspended solids (TSS) and polyphenols concentrations were monitored. The obtained results showed that the steady state removal of the organic carbon was about 66%, whereas phenolic compounds were reduced by about 50%.
Comparison of contrast-enhanced ultrasound and contrast-enhanced helical CT in the diagnosis of high echo-level small focal liver lesions

Objective: To compare the diagnosis accurate rate of contrast-enhanced ultrasound (CEUS) and contrast enhanced helical CT (CECT) in high echo-level small focal liver lesions (HSFLLs) (diameter ≤3 cm), and to explore the application value of CEUS in the diagnosis and differential diagnosis of the benign and malignant liver hyperechoic lesions. Methods: The institutional review board of Tumor Hospital of Guangxi Medical University approved the study protocol. The CEUS Time intensity curves (TICs) results of 75 cases (107 lesions) with HSFLLs detected by twodimensional ultrasound (2DUS) were reviewed and analyzed. And the results were compared with CECT. Results: The area under the curve of CEUS and CECT were 0.941 and 0.936 respectively. The cut off value of CEUS diagnosis for malignant lesions was 2.5. The sensitivity, specificity and the accuracy of CEUS for diagnosing malignant hepatic tumors were respectively 90.0%, 89.4% and 89.71%, versus 90.0%, 87.2% and 88.79% in CECT. The positive predictive value of CEUS and CECT were 0.895 and 0.875. The negative predictive value of CEUS and CECT were 0.101 and 0.103. In the diagnosis and differential diagnosis of cirrhotic nodules lesions and small hepatocellular carcinoma (SHCC) lesions, the accurate rate of CEUS was 92.86%, and CECT was 90.48%. Conclusion: CEUS could effectively and dynamically evaluate the hemodynamics of liver tumors, and provide qualitative and quantitative diagnosis to HSFLLs. In the diagnosis of HSFLLs and SHCC, CEUS was equal to CECT.
PORTAL HYPERTENSION IN THE LIVER CIRRHOSIS : PHYSIOPATHOLOGY AND THERAPEUTICAL APPROACH OF ESOPHAGEAL VARICEAL BLEEDING

Portal hypertension represent the major consequence of liver cirrhosis, with lifethreatening complications like upper digestive hemo rrhage through esophageal varices efraction. The physiopathology of portal hypertensi o in chronic liver disease is dominated by two factors, portal blood inflow and i ntrahepatic vascular resistance, which are responsible for the hemodinamic changes i n portal venous system. The main complication of portal hypertension is eso phageal and gastric varices development, and therefore the standard of care sho uld be focused primarly on prophylaxy and secondly, in advanced cases, on vari ce l bleeding treatment. We describe here the physiopathology of portal hype rtension in cirrhosis, as well as the current management of the most important and potentially catastrophic complication, acute variceal bleeding.
Sectoral Linkages and Labor Productivity : Panel Data Analysis for Turkey

Aim of the study is to investigate the relation between sectoral linkages and labor productivity. To achieve this aim; values of the both dependent and independent variables were calculated from Turkey National Input Output Tables (from 1995 to 2009 years) which have been published by World Input Output Database (WIOD). 35 sectors in the National Input Output Tables aggregated to 20 sector groups with regard to input output methodology and coefficients calculated on this aggregation. Panel data analysis has been used to detect relations between industrial/inter industrial linkages and productivity. If sectoral linkage have significant impacts on labor productivity tested in the study. While labor productivity has been chosen as dependent variable in the study, backward and forward linkage coefficients were added to model as independent variable. We have used balanced panel data model to detect relations between industrial/inter industrial linkages and productivity. Possible cross-section dependency and heterogeneity problems are taken into account in the model and the best estimation methods were preferred in the study. As we researched it is not found any study in this field using these methods and findings of our study are expected to understand determinants of labor productivity that is one of the major source of economic growth. With respect to empirical finding; results are changing cross the sector groups. Relation between all sectoral linkages (forward, backward and intra) and labor productivity have been found statistically significant for textile and communication sectors. If the model evaluated for throughout the economy, statistically significant relations with productivity have been found for backward linkages and intra industry linkages in this period. For forward linkages, statistically significant relation with productivity could not be found.
Dynamic Blocks for Face Verification

ISSN: 2186-0114 http://www.cennser. org/IJCVSP Abstract Face recognition system is a computer based biometric information processing for automatically identifying or verifying a person from a digital image or a video frame. The significance of this research area is increasing day by day. Although the existing methods of face verification system perform well under certain conditions, there are still challenging problems due to several issues such as pose variation, facial expression variation, occlusion, imaging conditions, illuminations, size variations, age variations, orientations, etc. This paper addresses the problem of recognizing human faces despite the variations of pose and size. To handle these problems, we mainly focus on dynamic block size. Instead of uniform block, we propose Dynamic Size Blocks (DSB) considering most prominent face features such as eye, eyebrow, nose, mouth, chin, cheek, fore-head, etc., based on facial landmarks. In this feature based approach, we use a Dynamic Local Ternary Pattern (DLTP) for extracting facial feature information from each dynamic block. Then we perform a square-root of Chi-Square distance for similarity measurement of each block. We use a Support Vector Machine (SVM) classifier for face verification. We performed a comprehensive experimental evaluation on Labeled Faces in the Wild (LFW) dataset with restricted settings original images. Our proposed method has achieved an accuracy of 74.08% on all test images and 82.26% on dataset images excluding extreme pose variations.
How Watching Different Types of Television Content is Related to Dutch Adolescents’ Hypergender Orientations

Media effect theories and social cognitive theories of gender development posit that young people use the media to learn how to behave according to their gender. This study aimed to investigate reciprocal relationships between adolescents’ television diets and their endorsement of hypergender orientations (i.e., hypermasculinity and hyperfemininity). Based on data from a short-term longitudinal survey among 1,007 Dutch adolescents (13-17 years old), this study showed that different television genres were related to hypergender orientations in different ways. The most notable finding was the relevance of reality TV docu-soaps for both adolescent girls’ and boys’ hypergender orientations. In addition, more frequent exposure to romantic comedy movies predicted an increased endorsement of hyperfeminine gender roles among girls, whereas more frequent exposure to situational comedies was associated with lower levels of girls’ hyperfemininity. These findings could be used in media literacy interventions targeting the influence of specific types of television exposure on adolescents’ stereotypical gender role notions. From a young age, children learn what it means to be male or female
Financial Constraints and the Effects of Alternative Financial System Design

How does the design of a country’s financial system affect the relative performance of its firms or industries, particularly in supporting their innovative processes? Firms’ realization of technological innovations may critically depend on the degree of financial constraints they face. An appropriate design of the financial system may alleviate the financial constraints of otherwise innovative firms, contributing to overall economic performance. The paper examines the relation between financial system design and industrial technological innovations in the presence of financial constraints. We find that industrial sectors with relatively heavy external financial dependence by their small and young firms realize faster technological progress in bank-based financial systems. There is also a weak evidence of a general positive effect on technological progress associated with a market based financial system design regardless of industrial heterogeneity. JEL Classification: G1, G21, G32, E44, O14, O3, O4
The Gender Gap in Informal Child Care: Theory and Some Evidence from Italy

Our model studies couples' time allocation and career choices, which are affected by a social norm on gender roles in the family. Parents can provide two types of informal child care: basic care (feeding, changing children, baby-sitting) and quality care (activities that stimulate children's social and cognitive skills). We obtain the following main results. Traditional mothers provide some informal basic care, whereas career mothers purchase full time formal basic care in the market. Informal basic care is too large and the group of career mothers is too small because of the social norm. Informal quality care is increasing in the couple's income and is provided in larger amount by mothers. We test the model's predictions for Italy using the most recent ISTAT "Use of Time" survey. In line with the model, mothers devote more time than fathers to both basic and quality informal care; more educated parents devote more time to quality informal care than less educated parents; more educated mothers spend more time in the labor market than less educated mothers.
Ionospheric Influence on Substorm Development

Our understanding of the geogenic component (i.e. the component of ionospheric or Earth origin) of the plasma sheet and its importance in substorm development is incomplete. Empirical and numerical models of plasma sheet composition disagree. Thirty years after the detection of significant fluxes of geogenic ions in the magnetosphere, we are still unable to unambiguously affirm or refute the assertion that substorm onset is causally related to heavy ion outflow. Here we review observations relating to the ionospheric contribution to the plasma sheet and the various approaches used to investigate the relationship between heavy ion outflow and substorms. We suggest that the only practical way to investigate the long term feedback effects thought to be associated with changes in ion outflow and mass composition in the plasma sheet is to self-consistently include ion outflow in large scale magnetospheric models and to test these models with the best available data sets and theories of plasma instabilities.
Application of Experimental Airflow Visualization Techniques to Aid the Numerical Modeling of Electronic Component Convective Heat Transfer

This study advocates the use of experimental flow visualization to aid the numerical modeling of electronic component convective heat transfer in air-cooled Printed Circuit Boards (PCBs) applications. A detailed characterization of the airflow patterns around PCB-mounted electronic components is undertaken using different, but complimentary flow visualization techniques, for uniform 2 m/s airflows. The methods consist of traditional smoke-flow and a novel paint-film evaporation technique, which combined provide a detailed description of the flow phenomena and their effects on the heat transfer processes. A range of PCB topologies is considered, the complexity of which is gradually increased to generate different airflow phenomena. Apart from uniform freestream conditions, the impact of upstream aerodynamic disturbance, mimicking more realistic system level flow conditions, is also studied both on component convective heat transfer and numerical predictive accuracy. These qualitative descriptions of the flow fields are used to help explain instances of prediction errors in component operating temperature, obtained using Computational Fluid Dynamics (CFD) analysis. Flow visualization is shown to be an efficient means of identifying aerodynamically sensitive regions on populated boards, where temperature prediction accuracy must be viewed with caution. It can also help with the selection of a numerical flow modeling strategy, and should be considered as a valuable design tool early in the thermal
The Effects of Socially-mediated Exposure to Ethanol on the Self-administration of Ethanol in Adolescent Rats

PAGE The present series of experiments extends earlier work in which early social learning about ethanol was shown to moderate ethanol intake in periadolescent and preweanling rats. In the preceding studies, young rats exposed to a brief period of interaction with an intoxicated sibling significantly increased their voluntary ethanol consumption relative to controls. In the current investigation, the formerly used model was modified to examine whether preweanlings would retain socially acquired information about ethanol into adolescence. Preweanling rats received repeated social exposure to ethanol cues in the home cage for five consecutive days. In Experiment 1, subjects underwent a two-bottle preference test in which they were offered unrestricted access to water and 6%v/v ethanol for 24 hours on postnatal day (PD) 30. It was found that the adolescent rats that received social interaction with intoxicated siblings during infancy consumed a higher percentage of ethanol than controls. These results provide additional support for the long-term effects of socially-mediated postnatal experiences with ethanol. In Experiments 2a and 2b, we examined the social transference of ethanol preferences in terms of operant behavior, but did not find that home-based exposure to ethanol odor cues during infancy impacts the operant self-administration of ethanol in adolescents. This research suggests that these two models of self-administration may not a sse ss the sam e types of processes that are involved in ethanol intake and initiation, at least not to the sam e extent. Alternatively, it is possible that the operant procedure may be sensitive enough to detect differences in ethanol self-administration between ethanol-exposed observers and controls, but that different procedural circumstances would be necessary to capture such an effect.
Teacher outputs Student outputs Teacher ? Student ? ! ! " !

Often the best performing deep neural models are ensembles of multiple base-level networks. Unfortunately, the space required to store these many networks, and the time required to execute them at test-time, prohibits their use in applications where test sets are large (e.g., ImageNet). In this paper, we present a method for compressing large, complex trained ensembles into a single network, where knowledge from a variety of trained deep neural networks (DNNs) is distilled and transferred to a single DNN. In order to distill diverse knowledge from different trained (teacher) models, we propose to use adversarial-based learning strategy where we define a block-wise training loss to guide and optimize the predefined student network to recover the knowledge in teacher models, and to promote the discriminator network to distinguish teacher vs. student features simultaneously. The proposed ensemble method (MEAL) of transferring distilled knowledge with adversarial learning exhibits three important advantages: (1) the student network that learns the distilled knowledge with discriminators is optimized better than the original model; (2) fast inference is realized by a single forward pass, while the performance is even better than traditional ensembles from multi-original models; (3) the student network can learn the distilled knowledge from a teacher model that has arbitrary structures. Extensive experiments on CIFAR-10/100, SVHN and ImageNet datasets demonstrate the effectiveness of our MEAL method. On ImageNet, our ResNet-50 based MEAL achieves top1/5 21.79%/5.99% val error, which outperforms the original model by 2.06%/1.14%. Code and models are available at: https://github.com/AaronHeee/MEAL.
EFFECT OF NITROGEN TREATMENT ON Nd-FeB BASED POWDER

For high performance applications, one type of magnets used is Nd-Fe-B based magnets. In this context, to implement those components key properties must be enhanced, such as the intrinsic coercivity and remanence. To achieve this, it was proposed to explore the nitrogenation of Nd2Fe14B powders, using as motivation its effect on R2Fe17 and RFe11Ti intermetallic compounds (R=Rare Earth Elements), improving its magnetic properties. From the results obtained of the processing routes under N2 atmosphere, main phase (Nd2Fe14B) decomposes at higher temperatures of processing, affecting magnetic properties. For longer times of exposition under N2 atmosphere and 673 K, coercivity decreased.