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  1. Article: Consistent estimation of technical and allocative efficiencies for a semiparametric stochastic cost frontier with shadow input pricesTai-Hsin Huang; Kuan-Chen Chen; Chien-Hsiu Lin; Ming-Tai Chung

    Chen, Kuan-chen / Chung, Ming-tai / Huang, Tai-hsin / Lin, Chien-hsiu

    Journal of productivity analysis Vol. 41, No. 2 , p. 307-320

    2014  Volume 41, Issue 2, Page(s) 307–320

    Keywords Semiparametric cost frontier ; Monte Carlo simulations ; Shadow prices ; Technical efficiency ; Allocative efficiency
    Language English
    Publisher Springer
    Publishing place Dordrecht [u.a.]
    Document type Article
    ZDB-ID 1007404-1 ; 1478730-1
    ISSN 1573-0441 ; 0895-562X
    ISSN (online) 1573-0441
    ISSN 0895-562X
    Database ECONomics Information System

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  2. Article ; Online: Organocatalytic enantioselective Mannich and retro-Mannich reactions and combinations of these reactions to afford tetrasubstituted α-amino acid derivatives.

    Chen, Kuan-Lin / Tanaka, Fujie

    Organic & biomolecular chemistry

    2024  Volume 22, Issue 3, Page(s) 477–481

    Abstract: Organocatalytic asymmetric Mannich reactions and kinetic resolutions of the ... ...

    Abstract Organocatalytic asymmetric Mannich reactions and kinetic resolutions of the products
    Language English
    Publishing date 2024-01-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2097583-1
    ISSN 1477-0539 ; 1477-0520
    ISSN (online) 1477-0539
    ISSN 1477-0520
    DOI 10.1039/d3ob01855e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator-Optimized Stacking Ensemble Approaches.

    Lin, Pei-Hua / Kuo, Ping-Huan / Chen, Kuan-Lin

    IEEE journal of biomedical and health informatics

    2024  Volume PP

    Abstract: Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. Therefore, predicting the activities of daily living (ADL) results of patients with stroke before hospital discharge can assist clinical workers in ... ...

    Abstract Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. Therefore, predicting the activities of daily living (ADL) results of patients with stroke before hospital discharge can assist clinical workers in formulating more personalized and effective strategies for therapeutic intervention, and prepare hospital discharge plans that suit the patients' needs. This study used the leave-one-out cross-validation procedure to evaluate the performance of the machine learning models. In addition, testing methods were used to identify the optimal weak learners, which were then combined to form a stacking model. Subsequently, a hyperparameter optimization algorithm was used to optimize the model hyperparameters. Finally, optimization algorithms were used to analyze each feature, and features of high importance were identified by limiting the number of features to be included in the machine learning models. After various features were fed into the learning models to predict the Barthel index (BI) at discharge, the results indicated that random forest (RF), adaptive boosting (AdaBoost), and multilayer perceptron (MLP) produced suitable results. The most critical prediction factor of this study was the BI at admission. Machine learning models can be used to assist clinical workers in predicting the ADL of patients with stroke at hospital discharge.
    Language English
    Publishing date 2024-03-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3372649
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Correction: Different autism measures targeting different severity levels in children with autism spectrum disorder.

    Huang, Chien-Yu / Chen, Kuan-Shu / Lee, Kuan-Ying / Lin, Chien-Ho / Chen, Kuan-Lin

    European archives of psychiatry and clinical neuroscience

    2023  

    Language English
    Publishing date 2023-10-28
    Publishing country Germany
    Document type Published Erratum
    ZDB-ID 1045583-8
    ISSN 1433-8491 ; 0175-758X ; 0940-1334
    ISSN (online) 1433-8491
    ISSN 0175-758X ; 0940-1334
    DOI 10.1007/s00406-023-01703-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A Swollen Inferior Gemellus Muscle with Hematoma Mimics Sciatica-A Case Report.

    Siow, Co Yih / Chen, Kuan-Lin

    Diagnostics (Basel, Switzerland)

    2022  Volume 12, Issue 5

    Abstract: Extra-spinal causes of sciatic pain are normally underdiagnosed, as they are extremely uncommon. Although pyriformis syndrome is recognized as one of the main causes of sciatic pain, other pelvic muscles that could cause sciatic pain are often overlooked. ...

    Abstract Extra-spinal causes of sciatic pain are normally underdiagnosed, as they are extremely uncommon. Although pyriformis syndrome is recognized as one of the main causes of sciatic pain, other pelvic muscles that could cause sciatic pain are often overlooked. The present article describes a swollen inferior gemellus muscle with hematoma initially diagnosed with ultrasonography and later confirmed with magnetic resonance imaging (MRI) scan. Ultrasound revealed a swollen muscle with hematoma between the ischial tuberosity and the medial surface of the greater trochanter of the femur. MRI scan showed edematous change with an increased enhancement of the right inferior gemellus muscle. Ultrasound could be used to diagnose inferior gemellus pathology, but the muscle is easy to miss. Therefore, MRI could be preferred for conditions that impact deep or large areas in confirming inferior gemellus pathology.
    Language English
    Publishing date 2022-04-26
    Publishing country Switzerland
    Document type Case Reports
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics12051080
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Development of an Air Pollution Risk Perception Questionnaire for Running Race Runners Based on the Health Belief Model.

    Chow, Hsueh-Wen / Chen, Kuan-Lin

    International journal of environmental research and public health

    2022  Volume 19, Issue 18

    Abstract: An increasing number of individuals participate in running races worldwide; however, running in the presence of air pollution poses health risks to runners. Therefore, developing a valid and reliable instrument is imperative to assess runners' beliefs ... ...

    Abstract An increasing number of individuals participate in running races worldwide; however, running in the presence of air pollution poses health risks to runners. Therefore, developing a valid and reliable instrument is imperative to assess runners' beliefs and perceptions regarding risks and health behaviors. This study developed a comprehensive questionnaire based on the health behavior model and relevant literature. The questionnaire was tested with 310 responses from individuals with running race experiences in Taiwan. Tests of the measurement model were conducted using reliability and confirmatory factor analysis. The results reveal that the questionnaire consists of eight constructs: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, perceived self-efficacy, cues to action, health behavior intention, and awareness of air quality. The 31 items jointly accounted for 72.71% of the observed variance. All eight factors have good internal consistency, convergent, and discriminant validity with acceptable model fit indexes. Additionally, a valid translated English version of the questionnaire is provided for future research, sports agencies, or governments to explore factors that affect, or interact with, risk while running under air pollution conditions to develop management strategies.
    MeSH term(s) Air Pollution ; Health Belief Model ; Humans ; Perception ; Reproducibility of Results ; Running ; Surveys and Questionnaires
    Language English
    Publishing date 2022-09-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph191811419
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Atezolizumab-induced subacute cerebellar ataxia in a patient with extensive-stage small cell lung cancer.

    Chen, Chun-Chia / Tseng, Kuan-Hua / Lai, Kuan-Lin / Chiang, Chi-Lu

    Therapeutic advances in medical oncology

    2023  Volume 15, Page(s) 17588359231192398

    Abstract: Recently, immune checkpoint inhibitors (ICIs) have become the standard treatment option for patients with lung cancer, including small cell lung cancer (SCLC). ICI-induced neurological immune-related adverse events are rare and exhibit diverse clinical ... ...

    Abstract Recently, immune checkpoint inhibitors (ICIs) have become the standard treatment option for patients with lung cancer, including small cell lung cancer (SCLC). ICI-induced neurological immune-related adverse events are rare and exhibit diverse clinical manifestations, often leading to missed or delayed diagnosis. Herein, we report the case of a patient with extensive-stage SCLC who received atezolizumab with etoposide/platinum and gradually developed neurological symptoms after three cycles of chemoimmunotherapy. Subsequently, the patient received a diagnosis of subacute immune-related cerebellar ataxia and was treated successfully with pulse steroid therapy. The patient exhibited almost complete remission of neurological symptoms and had progression-free survival for >24 months.
    Language English
    Publishing date 2023-08-31
    Publishing country England
    Document type Case Reports
    ZDB-ID 2503443-1
    ISSN 1758-8359 ; 1758-8340
    ISSN (online) 1758-8359
    ISSN 1758-8340
    DOI 10.1177/17588359231192398
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Different autism measures targeting different severity levels in children with autism spectrum disorder.

    Huang, Chien-Yu / Chen, Kuan-Shu / Lee, Kuan-Ying / Lin, Chien-Ho / Chen, Kuan-Lin

    European archives of psychiatry and clinical neuroscience

    2023  Volume 274, Issue 1, Page(s) 27–33

    Abstract: The Childhood Autism Rating Scale™, Second Edition (CARS™-2) and Social Responsiveness Scale™, Second Edition (SRS™-2) are two measures for identifying autism symptoms. The CARS™-2 has two versions: Standard (CARS-ST) and High-Functioning (CARS-HF). To ... ...

    Abstract The Childhood Autism Rating Scale™, Second Edition (CARS™-2) and Social Responsiveness Scale™, Second Edition (SRS™-2) are two measures for identifying autism symptoms. The CARS™-2 has two versions: Standard (CARS-ST) and High-Functioning (CARS-HF). To better understand their properties, this study aimed to investigate: (1) the associations among the CARS-ST, CARS-HF and the SRS™-2, and (2) the severity consistency between the CARS-ST and the CARS-HF. A sample of 125 children with autism spectrum disorder was recruited (mean age: 80.98 months, SD = 16.08). Based on Verbal Comprehension Index (VCI), children were divided into two groups: low severity level of autism spectrum disorder (LSL-ASD: VCI ≥ 80) and high severity level of autism spectrum disorder (HSL-ASD: VCI < 80). All children were evaluated with the CARS-ST and the SRS™-2, and the HF group, with the CARS-HF as well. In the LSL group, the CARS-ST and the CARS-HF had high correlation (r = 0.852, p < .001). Both versions had small to moderate correlations with the SRS™-2 (r = 0.130-0.491). In the HSL group, no significant correlations were found between the CARS-ST and SRS™-2 (p > .05). The CARS-HF and the CARS-ST had low severity consistency (Kappa = 0.376, p < .01). The CARS-ST and the CARS-HF had high correlations but low severity consistency. Different correlation patterns were found between the CARS™-2 and the SRS™-2 in the LSL and HSL groups. The results should help clinicians better understand the properties of the measures and choose appropriate measures when assessing autism symptoms.
    MeSH term(s) Child ; Humans ; Autism Spectrum Disorder/diagnosis ; Autistic Disorder ; Severity of Illness Index
    Language English
    Publishing date 2023-08-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1045583-8
    ISSN 1433-8491 ; 0175-758X ; 0940-1334
    ISSN (online) 1433-8491
    ISSN 0175-758X ; 0940-1334
    DOI 10.1007/s00406-023-01673-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Development and validation of the newly developed Preschool Theory of Mind Assessment (ToMA-P).

    Fu, I-Ning / Chen, Cheng-Te / Chen, Kuan-Lin / Liu, Meng-Ru / Hsieh, Ching-Lin

    Frontiers in psychology

    2024  Volume 15, Page(s) 1274204

    Abstract: Introduction: Theory of mind (ToM) refers to the ability to understand and attribute mental states to oneself and others. A ToM measure is warranted for preschool children to assess their ToM development from a multidimensional perspective (i.e., ... ...

    Abstract Introduction: Theory of mind (ToM) refers to the ability to understand and attribute mental states to oneself and others. A ToM measure is warranted for preschool children to assess their ToM development from a multidimensional perspective (i.e., cognitive and affective dimensions). This study aimed to develop the Preschool Theory of Mind Assessment (ToMA-P) and to evaluate its construct validity and applicability.
    Methods: The ToMA-P was developed based on comprehensive literature review and revised with expert panel feedback. Its psychometric properties were evaluated in 205 typically developing preschoolers with Rasch analysis for its dimensionality, item difficulties, and convergent validity.
    Results: The results indicated that all ToMA-P items, except for one, fit the hypothesized two-dimensional construct. The item difficulties in the cognitive and affective dimensions followed developmental sequences. The ToMA-P scores exhibited good convergent validity, as evidenced by its significant correlations with age, verbal comprehension, adaptive functions, and daily ToM performance (
    Discussion: This study provides empirical evidence that the ToMA-P measures cognitive and affective ToM following developmental sequences, and that it has potential as a clinical tool for assessing ToM in preschool children.
    Language English
    Publishing date 2024-04-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1274204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Conversation-Based Information Delivery Method for Facility Management.

    Chen, Kuan-Lin / Tsai, Meng-Han

    Sensors (Basel, Switzerland)

    2021  Volume 21, Issue 14

    Abstract: Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers' efficiency and user experience in retrieving specific ... ...

    Abstract Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers' efficiency and user experience in retrieving specific information on the facility management platform. Therefore, this research aims to develop a conversation-based method to improve the efficiency and user experience of facility management information delivery. The proposed method contains four major modules: decision mechanism, equipment dataset, intent analysis, and knowledge base. A chatbot prototype was developed based on the proposed method. The prototype was then validated through a feasibility test and field test at the Shulin Arts Comprehensive Administration Building in Taiwan. The results showed that the proposed method changes the traditional information delivery between users and the facility management platform. By integrating natural language processing (NLP), building information modelling (BIM), and ontological techniques, the proposed method can increase the efficiency of FM information retrieval.
    MeSH term(s) Communication ; Information Management ; Information Storage and Retrieval ; Natural Language Processing ; Taiwan
    Language English
    Publishing date 2021-07-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s21144771
    Database MEDical Literature Analysis and Retrieval System OnLINE

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