4,244 research outputs found

    OPTIMAL REGRESSION MODEL FOR PREDICTING THE WINNING GAME AND CONTRIBUTING FACTORS IN ICE HOCKEY WORLD CHAMPIONSHIP

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    The purpose of this study was to present the statistical model to predict the winning of ice hockey game and determine the contributing factors for win in the world ice hockey championship. In order to find the optimal regression model for ice hockey, we compared two regression model (logistic and linear model) with the database of all games and the separate databases of top/bottom teams. The logistic regression model using the separate database was most accurately predicted the actual outcome of games. This model and database further revealed that goalkeeping and scoring efficiencies and the number of shots on goal were significantly contributing factors to win. In addition, the results for prediction analysis of winning rate for each team indicated that offensive skills were more important factors than defense power to increase winning rate for teams

    The Influence of Consumer Experiences on Store Choice Criteria and Patronage Intention: the Case Study of SPA brands

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    Based on an array of economic and social data as well as business trends, Pine and Gilmore (1999) agree that current consumers are concerned with engaging experiences rather than just buying goods and services. Pine and Gilmore (1999) conceptualized this new focus of consumer demand as the emerging “Experience Economy” (EE). This perspective views experiences as enhancing consumer value beyond that derived from goods and services. Pine and Gilmore (1999) proposed four experience realms of EE—entertainment, educational, escapist, and esthetic

    Adverse childhood experiences and the associations with depression and anxiety in adolescents

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    Objectives There has been increasing attention to adverse childhood experiences (ACEs) among adolescents in the U.S because ACEs may result in severe mental health issues. Although associations between ACEs and mental health have been explored, research on how different types or combinations of ACEs render different impacts on adolescents is limited. Therefore, this study aims to (a) examine latent classes of ACEs among adolescents who have experienced at least one ACE and (b) investigate associations of each latent group of ACEs with mental health problems, depression and anxiety. Method Questionnaires on ACEs and depression/anxiety from the 2016 National Survey of Children’s Health (NSCH) were used, and a total of 11,437 adolescents aged 10–17 years were included in this study. For analyses, latent class analysis (LCA) was implemented to identify the number and types of classes, which are pertinent to represent the heterogenous combinations of ACEs. Moreover, chi-square tests and ordinal regression were performed to investigate the associations of class memberships within ACEs with depression/anxiety. Results The LCA found four class memberships within ACEs: Multiple High-Risk, Broken Family, Income Hardship, and Multiple Low-Risk. These classes displayed differences in depression/anxiety. For both pre-existing and current conditions of depression/anxiety, the most prominence has been found in the Multiple High-Risk, followed by the Multiple Low-Risk, the Broken Family, and the Income Hardship, in order. Conclusions These differences among the classes indicate that understanding of ACEs and interventions should be based on considering latent classes of ACEs

    The Effects of Game Players’ Social Intelligence on Social Support and Psychosocial Problem Factors in a 2-Wave Longitudinal Study

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    Although digital gaming may be considered a social medium, no prior study has investigated how young players’ social intelligence affects their psychosocial problems (aggression, depression, loneliness, and stress) and social functioning (relationships with parents and peers). The primary aim of this study was to investigate the relations between social intelligence and psychosocial outcomes. Using data from 1364 online game players in Korea, we conducted a 2-wave longitudinal study at 6-month intervals for tracking the same person. The findings indicated that level of social intelligence was negatively related with all measures of adverse emotions and positively related with relationships with parents and peers over time. The findings and implications are discussed

    Searching for Dark Photons with Maverick Top Partners

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    In this paper, we present a model in which an up-type vector-like quark (VLQ) is charged under a new U(1)dU(1)_d gauge force which kinetically mixes with the SM hypercharge. The gauge boson of the U(1)dU(1)_d is the dark photon, γd\gamma_d. Traditional searches for VLQs rely on decays into Standard Model electroweak bosons W,ZW,Z or Higgs. However, since no evidence for VLQs has been found at the Large Hadron Collider (LHC), it is imperative to search for other novel signatures of VLQs beyond their traditional decays. As we will show, if the dark photon is much less massive than the Standard Model electroweak sector, MγdMZM_{\gamma_d}\ll M_Z, for the large majority of the allowed parameter space the VLQ predominately decays into the dark photon and the dark Higgs that breaks the U(1)dU(1)_d . That is, this VLQ is a `maverick top partner' with nontraditional decays. One of the appeals of this scenario is that pair production of the VLQ at the LHC occurs through the strong force and the rate is determined by the gauge structure. Hence, the production of the dark photon at the LHC only depends on the strong force and is largely independent of the small kinetic mixing with hypercharge. This scenario provides a robust framework to search for a light dark sector via searches for heavy colored particles at the LHC.Comment: 40 pages and 11 figure

    A Novel On-chip Three-dimensional Micromachined Calorimeter with Fully Enclosed and Suspended Thin-film Chamber for Thermal Characterization of Liquid Samples

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    A microfabricated calorimeter (μ-calorimeter) with an enclosed reaction chamber is presented. The 3D micromachined reaction chamber is capable of analyzing liquid samples with volume of 200 nl. The thin film low-stress silicon nitride membrane is used to reduce thermal mass of the calorimeter and increase the sensitivity of system. The μ-calorimeter has been designed to perform DC and AC calorimetry, thermal wave analysis, and differential scanning calorimetry. The μ-calorimeter fabricated with an integrated heater and a temperature sensor on opposite sides of the reaction chamber allows to perform thermal diffusivity and specific heat measurements on liquid samples with same device. Measurement results for diffusivity and heat capacitance using time delay method and thermal wave analysis are presented

    Sonographic Detection of Intrathyroidal Branchial Cleft Cyst: A Case Report

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    We report here on an extremely rare case of an intrathyroidal branchial cleft cyst. Intrathyroidal branchial cleft cyst is rare disease entity and it has nonspecific findings on sonography, so the diagnosis of the lesion is very difficult. However, during aspiration, if pus-like materials are aspirated from a thyroid cyst, we should consider the possibility of intrathyroidal branchial cleft cyst in the differential diagnosis

    Synergistic Effect between Cryptotanshinone and Antibiotics against Clinic Methicillin and Vancomycin-Resistant Staphylococcus aureus

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    Cryptotanshinone (CT), a major tanshinone of medicinal plant Salvia miltiorrhiza Bunge, demonstrated strong antibacterial activity against clinic isolated methicillin and vancomycin-resistant Staphylococcus aureus (MRSA and VRSA) in this experiment. The CT was determined against clinic isolated MRSA 1–16 with MIC and MBC values ranging from 4 to 32 and 8 to 128 μg/mL; for MSSA 1-2 from 16 to 32 μg/mL and 64 to 128 μg/mL; for VRSA 1-2 from 2 to 4 μg/mL and 4 to 16 μg/mL, respectively. The range of MIC50 and MIC90 of CT was 0.5–8 μg/mL and 4–64 μg/mL, respectively. The combination effects of CT with antibiotics were synergistic (FIC index <0.5) against most of tested clinic isolated MRSA, MSSA, and VRSA except additive, MRSA 4 and 16 in oxacillin, MRSA 6, 12, and 15 in ampicillin, and MRSA 6, 11, and 15 in vancomycin (FIC index < 0.75–1.0). Furthermore, a time-kill study showed that the growth of the tested bacteria was completely attenuated after 2–6 h of treatment with the 1/2 MIC of CT, regardless of whether it was administered alone or with ampicillin, oxacillin, or vancomycin. The results suggest that CT could be employed as a natural antibacterial agent against multidrug-resistant pathogens infection
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