Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding Clinical Information Needs and health Care Decision Making Processes in the Context of Health Information Technology

s: 1. Menon S, Singh H, Giardina T, Rayburn W L, Davis B P, Russo E M, Sittig D F. Role of Safety Huddles to Promote Learning about Electronic Health Record-related Safety Risks. 2015 AcademyHealth Annual Research Meeting, Minneapolis, MN. June 14-15, 2015. 2. Murphy DR, Smith, MW, Russo E, Sittig DF, Singh H. Sociotechnical Analysis of Test Result Communication in Three EHR-Based Clinical Settings. Agency for Healthcare Research & Quality Annual Conference. Washington DC. October 4-6, 2015. 3. Russo E, Sittig DF, Murphy DR, Smith MW, Singh H. Challenges in Patient Safety Improvement Research in the Era of Electronic Health Records: Lessons from an AHRQ Funded Multi-Site Study. Agency for Healthcare Research & Quality Annual Conference. Washington DC. October 4-6, 2015. 4. Menon S, Singh H, Giardina TD, Rayburn WL, Davis BP, Russo E, Sittig DF. Exploring the Use of Safety Huddles as a Strategy to Promote Learning about Electronic Health Record-Related Safety Risks. Agency for Healthcare Research & Quality Annual Conference. Washington DC. October 4-6, 2015. 5. Murphy DR, Smith, MW, Sittig DF, Russo E, Singh H, Variation in EHR Implementations and the Impact on Safety of Test Result Follow-up. American Medical Informatics 2015 Association Annual Conference. San Francisco, CA. November 13-17, 2015. 6. Roosan D, Bhise V, Schwartz-Micheaux J, Russo E, Murphy DR, Sittig DF, Singh H. Understanding Delays in Abnormal Test Result Follow-Up Using Electronic Health Records In Outpatient Primary Care Settings. American Medical Informatics Association 2016 Annual Conference. Chicago, IL. November 12-16, 2016.
An Improved SIFT-PCA-Based Copy-Move Image Forgery Detection Method

Copy–move image tampering is one of the most frequently tampering types that contaminate images authenticity due to its ease. Tampering detection becomes more difficult when the tampered parts are subjected to post operations like scaling, rotation, compression or noise. In this paper, a blind copy-move tampering detection and localization method is proposed. Its novelty lies in the combination of SIFT, PCA and DBSCAN techniques. The proposed method shows its potential to disclose and localize tampered regions of different sizes and shapes. Furthermore, our method requires no prior information about the image or the manipulation operations carried on it. A comparative analysis between the proposed method and other tampering detection methods is evaluated based on various performance measures. Our experimental results show that the proposed method outperforms the previous reported techniques and is quite reliable in copy-move tampering detection and localization.
Competitive Imbalance of Heterogeneous Teams in Closed Leagues and Dominance Criteria

In this article we explore a new application about sequential dominance (introduced in the fields of social welfare measurement): The measurement of competitive imbalance in sports leagues when observations of both teams’ points and fan-bases are available. We argue that desirable properties for the measurement of imbalance – e.g. a dual concept of the inclination to any increase in downside risk – lead us to present a new sequential dominance criterion. JEL Classification: D63 ; L83 ; Z28.
Athens Institute for Education and Research ATINER ATINER ' s Conference Paper Series HEA 2018-2585

Acute Stroke is known as a neurologic emergency, which should be treated as soon as possible. The differences in treatment are dependent on the subtypes of stroke (intracranial hemorrhage/cerebral infarction). To discriminate between bleeding and infarction it is necessary that the patients undergo CT or MRI before treatment. Many recent studies suggest rapid neuroimaging (CT/MRI) for better outcome. However an association between delay of medical imaging, type of imaging and outcome (mortality rate) has not been systematically investigated. The aim of the present paper therefore is to explore the impact of time and type of imaging on outcome. Data was collected over a period of 9 years (2007 – 2015) by using clinical data (N=48,355). Binomial logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for the association between age (5 groups) as well as pre-notification by the emergency rescue or doctor, neuroimaging using Stata ©. In several models controlling for patient age and severity of stroke using the National Institutes of Health Stroke Scale (NIHSS), MRI as a diagnostic tool is associated with lower mortality in brain infarction, while for CT imaging no association is found. Time to picture, however, has no significant influence.
NUMERICAL OPTIMIZATION OF FLOW CONTROL BY TANGENTIAL JET BLOWING ON TRANSONIC AIRFOIL

Numerical RANS simulations are carried out to optimize airfoil aerodynamic performance and to provide a background for investigations of buffet control on transonic airfoil by tangential jet blowing. A jet of compressed air is blown from a small slot nozzle tangentially to airfoil upper surface in the region of shock location to energize the boundary layer and to reduce the shock-induced separation thus enhancing the airfoil performance. Numerical optimization is performed to determine parameters of flow control.
Expanding Apparel and Textile Market through effective Marketing Strategies : A case study of Bangladesh

Apparel and Textile manufacturing industries have been considered to be an important element in Bangladeshi economy. Considering the Marketing strategies widely used by composite apparel manufacturers in a form of direct marketing and relationship marketing. But, its potential has not been incorporated in small and medium apparel companies in Bangladesh. This paper focuses on the development and formulation of effective marketing strategies for apparel industry. The paper also portrays a comprehensive merchandising model and Information and Communication Technologies (ICT) model for apparels companies in Bangladesh. Case study method was used to collect qualitative data for this study. However, several unique strategies were identified and explained in favor of introducing a new platform for apparel textile companies in Bangladesh. This paper is portrayed in this journal to receive feedback in order to publish the study in refereed journal. Keywords— Apparel Marketing, Merchandising, ICT, SMEs
Modelagem de séries temporais financeiras: uma abordagem estatística para a identificação de modelos de média condicional

A analise de series temporais financeiras lida com a avaliacao de ativos no decorrer do tempo, possibilitando o entendimento do seu comportamento dinâmico e construir modelos capazes de prever valores futuros da serie. No primeiro estagio do procedimento para construcao de modelos e necessaria a selecao da subclasse adequada baseada nas observacoes do processo, para entao realizar a estimacao de seus parâmetros. Neste artigo e investigada uma metodologia para determinacao de uma subclasse de modelos pertencentes a classe ARIMAX para a descricao de processos geradores de series financeiras. Sao apresentadas condicoes para a determinacao da subclasse adequada e do numero minimo de parâmetros em cada estrutura. Para ilustrar o metodo, analisou-se os dados da serie diaria do indice da Bolsa de Valores de Sao Paulo entre os anos 2000 a 2014, atestando para o uso das estruturas de modelos ARIMAX(5,5,1,2) e ARIMAX(6,6,1,2). http://dx.doi. org/10.18226/23185279.v6iss1p22
Facial expression classification

Nowadays, more and more advance electronic and machinery applications were invented to provide a better lifestyle to the society. Because of that reason, facial expression classification application also become important as it can help the electronic applications to interact with users in a more user-friendly method. Thus, a facial expression classification system using RBF neural network implementation is presented. As a beginning of the research in the facial expression classification, this project is done based on the shapes of the mouths. The mouths will be first undergone image preprocessing to obtain its shape and vectors. The vectors are needed for the neural network to process and learn to classify facial expressions. Radial Basis Function (RBF) neural network is used in this project as it provides advantages in pattern recognition. Networks are simulated for a few configurations and compared the result of testing. The results show that the percentages of correct matching are very high even though it is just based on the shape of the mouth. The percentage of correct matching can achieve in the range of 60% until 100%. Future improvements for facial expressions classification are suggested at the end of the project to improve the performance and functionality of facial expression classification in the future.
Antituberculosis drug resistance in immigrants to Alberta, Canada, with tuberculosis, 1982-1994.

SETTING Provincial Tuberculosis Service, Alberta, Canada. OBJECTIVE To estimate resistance rates of Mycobacterium tuberculosis to antituberculosis drugs in relation to previous treatment, country of origin, age and duration of residence in Canada. DESIGN Retrospective chart review of all culture-positive tuberculosis diagnosed between 1982 and 1994 in immigrants to Alberta. RESULTS A total of 753 immigrants with culture-positive tuberculosis were studied; 131 patients (17.4%, 95% Confidence Interval [CI] 14.7, 20.1) had strains resistant to one or more of the first-line medications (isoniazid [INH], rifampin [RIF], ethambutol [EMB], pyrazinamide [PZA], and streptomycin [SM]). Initial and secondary resistance rates were 16.4% and 30.3%, respectively (P = 0.003, Odds ratio [OR] 2.2, 95% CI 1.3, 3.8). Resistance occurred in 22.2% of patients 40 years of age and under, and in 13.8% of those over 40 years of age (P = 0.005, OR 1.8, 95% CI 1.2, 2.6). Resistant M. tuberculosis was isolated from 20.4% of those who had lived in Canada for less than 15 years, and in 9.0% of those who had immigrated to Canada more than 15 years before diagnosis (P < 0.001; OR 2.4, 95% CI 1.3, 4.2). Resistance rates to individual medications in all immigrants were as follows: INH 9.9% (95% CI 7.8, 12.0), RIF 0.8% (95% CI 0.2, 1.4), EMB 1.9% (95% CI 1.0, 2.8), PZA 1.9% (95% CI 0.3, 3.5), and SM 12.9% (95% CI 10.4, 15.4). Immigrants from Vietnam, China, and the Philippines had tuberculosis strains that were resistant to one or more of the first line medications in 30.2%, 21.8%, and 15.5% of cases, respectively (P = 0.04). CONCLUSION In industrialized countries such as Canada where most cases of tuberculosis are diagnosed among the foreign-born, drug resistance surveys continue to be an important part of an effective tuberculosis control program.
Variation and Path Coefficient Analysis of Important Agronomic Traits in Two-and Six-rowed Recombinant Inbred Lines of Barley ( Hordeum vulgare L . )

The variation and relations of fifteen agronomic and morphologic traits (e.g., yield and its components, days to heading and test weight) were evaluated in 42 two-rowed and 57 six-rowed recombinant inbred lines of barley derived from Azumamugi × Kanto Nakate Gold cross. Significant differences were detected among lines for all traits studied. Kernel number/spike, awn length, kernel weight/spike, yield, harvest index and spike length had the highest coefficient of phenotypic variation (39.73%, 35.79%, 34.59%, 32.57%, 31.05% and 27.79%, respectively). Harvest index and biological yield explained more than 90% of total yield variation among twoand six-rowed lines. Discriminant analysis distinguished twoand six-rowed lines with spike length, awn length, kernel weight/spike, peduncle length and harvest index having the highest weight. Phenotypic and genotypic correlations showed a high positive relationship between yield and harvest index, biological yield, test weight, kernel weight/spike and kernel number/spike. Path analysis based on genotypic correlations for grain yield also showed the highest direct effect of kernel number/spike and indirect effect of kernel weight/spike via kernel number/spike.
On the Stationarity of Exhaustible Natural Resource Prices : Misspeci cation E ¤ ects Arising from Incomplete Models

In this paper we examine whether the real prices of eleven natural resource commodities exhibit stochastic or deterministic trends. A common methodological feature in the relevant empirical literature, most of which published in the Journal of Environmental Economics and Management, has been so far the application of univariate tests for unit roots. In these tests the real price for each commodity is tested for unit roots in isolation from all other natural resource commodity prices. We claim that this approach is likely to produce spurious inferences concerning the true number of unit roots, since it ignores any possible dynamic interactions among the available set of nominal prices. We suggest that the hypothesis of stationarity of real commodity prices should be properly de ned and tested within a multivariate error correction model, which explicitly accounts for all possible linear interdependencies among the series involved. In such a framework, the stationarity of the real prices that participate in the system depends on whether the system exhibits su¢ cient cointegration with a speci c cointegration matrix. Our empirical results suggest that within this multivariate framework, eight of eleven real prices of exhaustible natural resource commodities satisfy the restrictions for being stationary. On the contrary, all of these eleven real prices appear to be non-stationary, when the unit root hypothesis is tested in the context of incomplete models. JEL Classi cation: Q31; C12; C51; C53
The Effect of Production Information on the Choices of Lease Locations : a Study of the Marcellus Shale

In November 2010, the Pennsylvania government began posting well-specific production data of the Marcellus Shale. The information reveals the shale gas reserve distribution. This paper studies the effect of the production information disclosure on the shale gas operators’ choices of lease locations. A theoretical model is proposed, in which firms sequentially choose the location with the highest expected return by conducting Bayesian updating about the locations’ output potentials, with their prior beliefs adjusted by the production data. The model is empirically examined using a novel dataset. Outcomes show that the production information shifts firms’ target leases towards more productive regions.
Morpheme networks reveal language dynamics

Morphemes are the smallest meaningful parts of words. As one word can be composed of multiple morphemes, one morpheme can be present in more than one word. Therefore, morphemes represent a natural unit to study the evolution of words. Here, we analyzed three different Indo-European languages and compared variants of these languages differing in time and region. For this purpose, we adopted a network based approach from bioinformatics. It is frequently used for analyzing domains, the structural, functional and evolutionary units of proteins. Despite the global similarity of the morpheme networks, we identified characteristics associated with fundamental differences in word formation. Comparisons of the networks revealed that the fate of a morpheme is highly influenced by its connectivity. As a morpheme contains meaning, differences between the networks revealed cultural changes over time and between regions. Therefore, morphemes represent not only meaningful but also evolutionary parts of words.
Liquefaction Hazard Maps for Australia

Screening-level liquefaction hazard maps for Australia are developed corresponding to ground motions for annual probability of exceedance equal to 10% and 2% in 50 years (equivalent to return period of 500 and 2500 years, respectively). The maps integrate the Seed and Idriss (1971) calculation of cyclic stress ratio (CSR) into a GIS-model of ground motions and ground conditions. This study uses earthquake design magnitude from an approximate magnitude deaggregation using the source model characterization developed for the Australian Seismic Hazard Map (AS 1170.4, 2007). Ground accelerations are derived from AS 1170.4 (2007). The liquefaction hazard maps present liquefaction trigger hazard and are intending as screening tool to guide detailed investigation and assessment as required.
eview he ontogeny of plant indirect defenses

Plants frequently attract natural enemies of their herbivores, resulting in a reduction in tissue damage and often in enhanced plant fitness. While such indirect defenses can dramatically change as plants develop, only recently have ecologists begun to explore such changes and evaluate their role in mediating plant–herbivore–natural enemy interactions. Here we review the literature documenting ontogenetic patterns in plant rewards (i.e. extrafloral nectaries (EFNs), food bodies (FBs) and domatia) and volatile organic compounds (VOCs), and identify links between ontogenetic patterns in such traits and the attraction of natural enemies (ants). In the case of reward traits we concentrate in ant–plant studies, which are the most numerous. We report that all indirect defensive traits commonly vary with plant age but ontogenetic trajectories differ among them. Myrmecophytic species, which provide both food and shelter to their defenders, do not produce rewarding traits until a minimum size is reached. Then, a pronounced increase in the abundance of food rewards and domatia often occurs as plants develop, which explains the temporal succession or colony size increase of mutualistic ant species and, in some cases, leads to a reduction in herbivore damage and enhanced fitness as plants age. In contrast, ontogenetic patterns were less consistent in plant species that rely on VOC emissions to attract natural enemies or those that provide only food rewards (EFNs) but not nesting sites to their associated ants, showing an overall decline or lack of trend with plant development, respectively. Future research should focus on uncovering: (i) the costs and mechanisms underlying ontogenetic variation in indirect defenses, (ii) the relative importance of environmental and genetic components shaping these ontogenetic trajectories, and (iii) the consequences of these ontogenetic trajectories on plant fitness. Advances in this area will shed light on the context dependency of bottom-up and top-down controls of herbivore populations and on how natural selection actually shapes the ontogenetic trajectories of these traits. © 2013 Elsevier GmbH. All rights reserved.
Using Logistic Regression Model To Construct Insulator Spark Detection System

151403-7575-IJET-IJENS © June 2015 IJENS I J E N S  Abstract— This paper develops a visual images insulator spark detection system (VIISDS) associated with logistic regression model to study the relationship between spark discharge and leakage current in transmission insulators. In this study, image processing technology which comprises images preprocessing, detecting and analyzing the spark characteristics is first applied to deal with visual images of sparks discharged on the surface of insulators captured by the developed remote monitoring system. The logistic regression model is then applied to establish a probability model that uses visual images as the determining factor for insulator cleaning (with early warning for leakage current) to identify the relationship between spark intensity and leakage current. The leakage current of insulators could be estimated according to spark intensity observed in the images, and no remote leakage current measuring device was required. This enabled the early warning of leakage current at varying levels and facilitated the development of an insulator maintenance mechanism for transmission lines that uses discharge images of insulators over traditional night-time observations.
Time Series Forecasting with Deep Learning

Mathematical models, which aimed on finding characteristic of time series data and forecasting the future values, have been studied since many years ago, and they have been bringing tremendous benefits for science and economy. In this study, a novel time series model is proposed using a Deep Belief Net (DBN). The DBN is composed by a Restricted Boltzmann Machine (RBM) and a Multi-Layered Perceptron (MLP) which are artificial neural network models. To decide the optimal size of the model for different time series data, Particle Swarm Optimization (PSO) is adopted in the proposed method. To confirm the effectiveness of the proposed model, chaotic time series data and exchange rate time series data were used in the forecasting experiments. It was shown that the prediction precision of proposed method was higher than using conventional neural network models such as MLP and DBN with RBMs. Key-Words: time series forecasting, deep belief net (DBN), restricted Boltzmann machine (RBM), multi-layered perceptron (MLP), chaos
Response of Some Wheat Cultivars to Salinity and Water Stress

A pot trial was executed on three wheat cultivars (Sakha 93, Gemieza7 and Giza 168) grown in clay soil under saline conditions and water stress at the greenhouse of Plant Nutrition Institute, Hohenheim University, Stuttgart, Germany, to determine the individual and the combined effect of salinity and water stress on wheat growth and evaluate the best wheat cultivar under the different salinity levels and water stress. Randomized complete block design was applied as salinity levels (0, 50, 100 and 150 mM NaCl) occupied in main block, water stress (irrigated every day, after 4 and 8 days) assigned in subplot and distributed the cultivars in sub subplot in the pot. Germination percentage, plant height, leaf area, fresh and dry weight, and Na and Cl concentration were determined. The results showed that salinity and water stress had highly significant differences on all the studied characteristics under study conditions, whereas Salinity and water stress decreased germination percentage, plant height, total weight, and shoot weight, and increased Na and Cl concentration significantly in shoots. The cultivar Sakha 93 and Gemmieza 7 surpassed other cultivar (Giza 168) under salinity and water stress in the most of characteristics.