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  1. Article: Exploring EFL learners' acceptance and cognitive absorption at VR-Based language learning: A survey and experimental study.

    Hsu, Liwei

    Heliyon

    2024  Volume 10, Issue 3, Page(s) e24863

    Abstract: This study aimed to explore the applicability of VR-based language learning in an EFL context. An online survey was conducted to understand the structural relationship between EFL learners' cognitive absorption, behavioral intention to use VR for English ...

    Abstract This study aimed to explore the applicability of VR-based language learning in an EFL context. An online survey was conducted to understand the structural relationship between EFL learners' cognitive absorption, behavioral intention to use VR for English learning, and perceptions regarding the sense of immersion created by VR. The hedonic motivation system adoption model (HMSAM) was adopted, and 230 valid responses were retrieved for statistical analyses. The results showed that most constructs of HMSAM, namely, perceived ease of use, perceived usefulness, curiosity, joy, control, behavioral intention to use, and immersion, were significantly associated with other constructs. VR's immersion had a positive significant influence on the behavioral intention of EFL learners to engage in VR-based language learning. It was revealed that curiosity was not a significant predictor for immersion. Moreover, a within-subject neurophysiological experiment was conducted with 33 EFL learners who experienced both VR-based and non-VR-based settings to examine the influence of VR technologies on their cognitive absorption and learning outcomes. Results demonstrated that VR did increase the participants' cognitive absorption; furthermore, participants had better retention about the learned contents in VR-based setting. The findings have practical and theoretical implications based on the findings of the survey and experiment.
    Language English
    Publishing date 2024-01-20
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e24863
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online ; E-Book: Trade, investment, innovation and their impact on access to medicines

    Hsu, Locknie

    an Asian perspective

    (Cambridge international trade and economic law)

    2016  

    Author's details Locknie Hsu
    Series title Cambridge international trade and economic law
    Keywords Legislation, Pharmacy ; Drug Industry / economics ; Drug and Narcotic Control ; Asia
    Subject code 338.4/761095
    Language English
    Size 1 Online-Ressource (xxvi, 459 Seiten), Illustrationen
    Publisher Cambridge University Press
    Publishing place Cambridge
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019129415
    ISBN 978-1-316-53266-9 ; 9781107072732 ; 1-316-53266-6 ; 1107072735
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Three-dimensionally printed facial prosthesis with a silicone veneer technique: A clinical report.

    Frias, Vladimir / Hsu, Larson

    The Journal of prosthetic dentistry

    2023  

    Abstract: Digital technology has revolutionized the acquisition of patient data and the fabrication of prosthetic replacements for extraoral defects. This clinical report illustrates the use of a new technique which allows the digital creation of an acrylic resin ... ...

    Abstract Digital technology has revolutionized the acquisition of patient data and the fabrication of prosthetic replacements for extraoral defects. This clinical report illustrates the use of a new technique which allows the digital creation of an acrylic resin framework which is then veneered with silicone to create an esthetic prosthesis in less time and with less patient discomfort.
    Language English
    Publishing date 2023-03-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 218157-5
    ISSN 1097-6841 ; 0022-3913
    ISSN (online) 1097-6841
    ISSN 0022-3913
    DOI 10.1016/j.prosdent.2023.01.036
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ul III Zs.145: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Unveiling challenges in Mendelian randomization for gene-environment interaction.

    Gorfine, Malka / Qu, Conghui / Peters, Ulrike / Hsu, Li

    Genetic epidemiology

    2024  

    Abstract: Gene-environment (GxE) interactions play a crucial role in understanding the complex etiology of various traits, but assessing them using observational data can be challenging due to unmeasured confounders for lifestyle and environmental risk factors. ... ...

    Abstract Gene-environment (GxE) interactions play a crucial role in understanding the complex etiology of various traits, but assessing them using observational data can be challenging due to unmeasured confounders for lifestyle and environmental risk factors. Mendelian randomization (MR) has emerged as a valuable method for assessing causal relationships based on observational data. This approach utilizes genetic variants as instrumental variables (IVs) with the aim of providing a valid statistical test and estimation of causal effects in the presence of unmeasured confounders. MR has gained substantial popularity in recent years largely due to the success of genome-wide association studies. Many methods have been developed for MR; however, limited work has been done on evaluating GxE interaction. In this paper, we focus on two primary IV approaches: the two-stage predictor substitution and the two-stage residual inclusion, and extend them to accommodate GxE interaction under both the linear and logistic regression models for continuous and binary outcomes, respectively. Comprehensive simulation study and analytical derivations reveal that resolving the linear regression model is relatively straightforward. In contrast, the logistic regression model presents a considerably more intricate challenge, which demands additional effort.
    Language English
    Publishing date 2024-02-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605785-8
    ISSN 1098-2272 ; 0741-0395
    ISSN (online) 1098-2272
    ISSN 0741-0395
    DOI 10.1002/gepi.22552
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1969: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  5. Article: TCRpred: incorporating T-cell receptor repertoire for clinical outcome prediction.

    Liu, Meiling / Liu, Yang / Hsu, Li / He, Qianchuan

    Frontiers in genetics

    2024  Volume 15, Page(s) 1345559

    Abstract: T-cell receptor (TCR) plays critical roles in recognizing antigen peptides and mediating adaptive immune response against disease. High-throughput technologies have enabled the sequencing of TCR repertoire at the single nucleotide level, allowing ... ...

    Abstract T-cell receptor (TCR) plays critical roles in recognizing antigen peptides and mediating adaptive immune response against disease. High-throughput technologies have enabled the sequencing of TCR repertoire at the single nucleotide level, allowing researchers to characterize TCR sequences with high resolutions. The TCR sequences provide important information about patients' adaptive immune system, and have the potential to improve clinical outcome prediction. However, it is challenging to incorporate the TCR repertoire data for prediction, because the data is unstructured, highly complex, and TCR sequences vary widely in their compositions and abundances across different individuals. We introduce TCRpred, an analytic tool for incorporating TCR repertoire for clinical outcome prediction. The TCRpred is able to utilize features that can be extracted from the TCR amino acid sequences, as well as features that are hidden in the TCR amino acid sequences and are hard to extract. Simulation studies show that the proposed approach has a good performance in predicting clinical outcome and tends to be more powerful than potential alternative approaches. We apply the TCRpred to real cancer datasets and demonstrate its practical utility in clinical outcome prediction.
    Language English
    Publishing date 2024-03-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2024.1345559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Robust best linear weighted estimator with missing covariates in survival analysis.

    Wang, Ching-Yun / Hsu, Li / Harrison, Tabitha

    Statistics in medicine

    2024  Volume 43, Issue 9, Page(s) 1790–1803

    Abstract: Missing data in covariates can result in biased estimates and loss of power to detect associations. We consider Cox regression in which some covariates are subject to missing. The inverse probability weighted approach is often applied to regression ... ...

    Abstract Missing data in covariates can result in biased estimates and loss of power to detect associations. We consider Cox regression in which some covariates are subject to missing. The inverse probability weighted approach is often applied to regression analysis with missing covariates. Inverse probability weighted estimators typically are less efficient than likelihood-based estimators, but in general are more robust against model misspecification. In this article, we propose a robust best linear weighted estimator for Cox regression with missing covariates. Our proposed estimator is the projection of the simple inverse probability weighted estimator onto the orthogonal complement of the score space based on a working regression model of the observed data. The efficiency gain is from the use of the association between the survival outcome variable and the available covariates, which is the working regression model. The asymptotic distribution is derived, and the finite sample performance of the proposed estimator is examined via extensive simulation studies. The methods are applied to a colorectal cancer study to assess the association of the microsatellite instability status with colorectal cancer-specific mortality.
    MeSH term(s) Humans ; Models, Statistical ; Likelihood Functions ; Survival Analysis ; Probability ; Regression Analysis ; Computer Simulation ; Colorectal Neoplasms
    Language English
    Publishing date 2024-02-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.10044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1756: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Conference proceedings ; Online: 3D-mapping-aided PPP-RTK for deep urban canyons

    Geng, J. / Xin, S. / Hsu, L.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: GNSS precise positioning is challenged in difficult urban environments. The performance of precise positioning, especially integer ambiguity resolution, will be seriously deteriorated by the receptions of complex multipath or NLOS (non-light-of-sight) ... ...

    Abstract GNSS precise positioning is challenged in difficult urban environments. The performance of precise positioning, especially integer ambiguity resolution, will be seriously deteriorated by the receptions of complex multipath or NLOS (non-light-of-sight) signals. In this study, we used a 3D urban model to detect and exclude those NLOS signals from both carrier-phase and pseudorange measurements. Then a 3D-mapping-aided (3DMA) weighting model was developed to enhance the performance of PPP-RTK (real-time kinematic precise point positioning) in complex urban areas. We first constructed the 3DMA weighting function by analyzing static GNSS data in various urban environments. Then this function was applied to both static and kinematic positioning experiments. We found that our 3DMA weighting could identify those poor measurements with high C/N 0 values in urban environments while those traditional C/N 0 -based methods could hardly detect such disqualified measurements. In typical deep urban environments, the ambiguity fixing rates of PPP-RTK was increased from less than 50% to over 80% after our 3DMA NLOS detection and weighting model were applied. As a result, the 3DMA PPP-RTK could achieve a positioning availability of more than 90% with a horizontal positioning precision of better than 20 cm, while the availability of traditional PPP-RTK without 3DMA was less than 50%.
    Language English
    Publishing country de
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Enhancing EFL Learners' Self-Efficacy Beliefs of Learning English with Emoji Feedbacks in CALL: Why and How.

    Chen, Yen-Jung / Hsu, Liwei

    Behavioral sciences (Basel, Switzerland)

    2022  Volume 12, Issue 7

    Abstract: Encouraging feedback positively affects learners' self-efficacy; in language learning, self-efficacy predicts language learner performance and behavior. Our research involved three studies to expand knowledge about why and how we can enhance English as a ...

    Abstract Encouraging feedback positively affects learners' self-efficacy; in language learning, self-efficacy predicts language learner performance and behavior. Our research involved three studies to expand knowledge about why and how we can enhance English as a Foreign Language (EFL) learners' self-efficacy beliefs in online settings. In Study 1, based on an online survey with 310 participants, we ascertained the extent to which EFL learners with greater self-efficacy tend to challenge themselves by learning content that requires a proficiency level that is higher than their current proficiency. In Study 2, we recruited 120 EFL learners; the results indicate that positive feedback via emojis embedded in online courses could significantly boost EFL learners' self-efficacy beliefs about learning English. Study 3 involved 35 participants and extended the understanding provided by the first two studies, showing that EFL learners not only like to use emojis for computer-mediated communication (CMC), but also prefer to receive them as feedback. This research adds to knowledge on "why" and "how" we can enhance EFL learners' self-efficacy beliefs in online contexts. We systematically provide empirical evidence regarding the aforementioned issues and demonstrate that positive feedback through emojis has great potential to enhance EFL learners' self-efficacy, even when such feedback is subliminal.
    Language English
    Publishing date 2022-07-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs12070227
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: COVID-19 and Domestic Violence: Economics or Isolation?

    Henke, Alexander / Hsu, Linchi

    Journal of family and economic issues

    2022  Volume 43, Issue 2, Page(s) 296–309

    Abstract: Recent studies estimate that the COVID-19 pandemic significantly increases reports of domestic violence in several countries. Using mobile device tracking data, city-level unemployment data, and new data on labor market conditions caused by the ... ...

    Abstract Recent studies estimate that the COVID-19 pandemic significantly increases reports of domestic violence in several countries. Using mobile device tracking data, city-level unemployment data, and new data on labor market conditions caused by the coronavirus pandemic, we isolate the effects of unemployment and staying at home on incidents of domestic violence. We find that unemployment decreases domestic violence after controlling for the degree to which people stay at home. We also provide evidence that staying at home increases domestic violence. However, we find that the effects of unemployment and staying at home are concentrated right after an initial shock from mid-March to mid-June 2020. Finally, we find that some labor market conditions linked to COVID-19, such as being prevented from looking for work due to the pandemic, decrease domestic violence, and these labor market effects are often gendered.
    Language English
    Publishing date 2022-03-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2016887-1
    ISSN 1573-3475 ; 1058-0476
    ISSN (online) 1573-3475
    ISSN 1058-0476
    DOI 10.1007/s10834-022-09829-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Near-unity uniformity and efficiency broadband meta-beam-splitter/combiner.

    Hemayat, Saeed / Hsu, Liyi / Ha, Jeongho / Ndao, Abdoulaye

    Optics express

    2023  Volume 31, Issue 3, Page(s) 3984–3997

    Abstract: Subwavelength planar structured interfaces, also known as metasurfaces, are ultra-thin optical elements modulating the amplitude, phase, and polarization of incident light using nanostructures called meta-atoms. The optical properties of such ... ...

    Abstract Subwavelength planar structured interfaces, also known as metasurfaces, are ultra-thin optical elements modulating the amplitude, phase, and polarization of incident light using nanostructures called meta-atoms. The optical properties of such metasurfaces can be controlled across wavelengths by selecting geometries and materials of the meta-atoms. Given recent technological developments in optical device miniaturization, components for beam splitting and beam combining are sought for use within these devices as two quintessential components of every optical setup. However, realizing such devices using metasurfaces typically leads to poor uniformity of diffraction orders and narrow-band operation. Using a modified version of particle swarm optimization, we propose and numerically demonstrate a broadband, reciprocal metasurface beam combiner/splitter with uniformity > 97% and diffraction efficiency > 90% in the continuous band from λ=1525 nm to λ=1575 nm. The proposed approach significantly extends the current state of the art of metasurfaces design in terms of uniformity, bandwidth, and efficiency, and opens the door for devices requiring high power or near-unit uniformity.
    Language English
    Publishing date 2023-01-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.480233
    Database MEDical Literature Analysis and Retrieval System OnLINE

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