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1. Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry

Author

Li, Lok Yee Joyce, Wang, Shin-Yi, Wu, Cheng-Jung, Tsai, Cheng-Yu, Wu, Te-Fang, and Lin, Yaoh-Shiang

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundHearing impairment is the most frequent sensory deficit in humans, affecting more than 360 million people worldwide. In fact, hearing impairment is not merely a health problem, but it also has a great impact on the educational performance, economic income, and quality of life. Hearing impairment is therefore an important social concern. ObjectiveWe aimed to evaluate and compare the accuracy of self-perception, Hearing Handicap Inventory for the Elderly-Screening (HHIE-S) questionnaire, free-field voice test, and smartphone-based audiometry as tests for screening moderate hearing impairment in older adults in China. MethodsIn this study, 41 patients were recruited through a single otology practice. All patients were older than 65 years. Patients with otorrhea and cognitive impairment were excluded. Moderate hearing impairment was defined as mean hearing thresholds at 500, 1000, 2000, and 4000 Hz >40 dB hearing loss (pure-tone average > 40 dB hearing loss). All patients completed 5 hearing tests, namely, the self-perception test, HHIE-S questionnaire test, free-field voice test, smartphone-based audiometry test, and standard pure-tone audiometry by the same audiologist. We compared the results of these tests to the standard audiogram in the better-hearing ear. ResultsThe sensitivity and the specificity of the self-perception test were 0.58 (95% CI 0.29-0.84) and 0.34 (95% CI 0.19-0.54), respectively. The sensitivity and the specificity of the HHIE-S questionnaire test were 0.67 (95% CI 0.35-0.89) and 0.31 (95% CI 0.316-0.51), respectively. The sensitivity and the specificity of the free-field voice test were 0.83 (95% CI 0.51-0.97) and 0.41 (95% CI 0.24-0.61), respectively. The sensitivity and the specificity of the smartphone-based audiometry test were 0.92 (95% CI 0.60-0.99) and 0.76 (95% CI 0.56-0.89), respectively. Smartphone-based audiometry correctly diagnosed the presence of hearing loss with high sensitivity and high specificity. ConclusionsSmartphone-based audiometry may be a dependable screening test to rule out moderate hearing impairment in the older population.

Published
2020
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6. Comparing Low- or Standard-Dose Alteplase in Endovascular Thrombectomy: Insights From a Nationwide Registry

Author

Chen, Chih-Hao, Lee, Chung-Wei, Hsieh, Yi-Chen, Lin, Chun-Jen, Chen, Yu-Wei, Lin, Kuan-Hung, Sung, Pi-Shan, Tang, Chih-Wei, Chu, Hai-Jui, Tsai, Kun-Chang, Chou, Chao-Liang, Lin, Ching-Huang, Wei, Cheng-Yu, Yen, Shang-Yih, Chen, Po-Lin, Yeh, Hsu-Ling, Chan, Lung, Sung, Sheng-Feng, Lee, Meng, Liu, Hon-Man, Lin, Yen-Heng, Lee, I-Hui, Yeh, Shin-Joe, Lien, Li-Ming, Chiou, Hung-Yi, Lee, Jiunn-Tay, Tang, Sung-Chun, Jeng, Jiann-Shing, Tang, Sung-Chun, Jeng, Jiann-Shing, Lee, Chung-Wen, Chen, Chih-Hao, Lin, Yen-Heng, Yeh, Shin-Joe, Lee, Bo-Ching, Chung, Tai-Chun, Lin, Chun-Jen, Lee, I-Hui, Chi, Nai-Fang, Hsu, Li-Chi, Chung, Chih-Ping, Liu, Hung-Yu, Luo, Chao-Bao, Chang, Feng-Chi, Lin, Chung-Jung, Wu, Chia-Hung, Yu, Kai-Wei, Hwang, Hsuen-En, Lin, Te-Ming, Chen, Yu-Wei, Chen, Chi-Jen, Wang, Ching-Yi, Kuo, Yeh-Lin, Lu, Ping-Sheng, Chao, Yen-Tung, Su, Yi-Hsin, Lin, Pei-Ju, Chen, Yi-Chun, Fan, Li-Ling, Yang, Ju-Fang, Lin, Kuan-Hung, Lin, Chien-Jen, Yang, Sheng-Hsiang, Yang, Chun-Ming, Lin, Huey-Juan, Yeh, Poh-Shiow, Chang, Chia-Yu, Cheng, Tian-Junn, Lee, Wei-Jia, Ko, Ching-Chung, Tsui, Yu-Kun, Shih, Yun-Ju, Wu, Te-Chang, Sung, Pi-Shan, Chang Chun-Min Wang, Yu-Ming, Huang, Chih-Yuan, Chen, Chih-Hung, Hsieh, Meng-Tsang, Ou, Chang-Hsien, Lin, Wan-Ching, Chen, Li-Ching, Ann, Bi-Shin, Tang, Chih-Wei, Lai, Yen-Jun, Huang, Lih-Wen, Kuo, Ya-Ling, Peng, Szu-Hsiang, Pai Lin, Yi-Chun, Chu, Hai-Jui, Lin, Cheng-Huai, Sun, Yu, Lu, Chien-Jung, Lee, Chun-Yu, Liu, Chang-Hsiu, Tsai, Kun-Chang, Chen, Kuo-Wei, Tsai, Li-Kai, Hsiue, Yen-Chung, Cheng, Ya-Wen, Fu, Chuan-Hsiu, Chen, Wen-Yu, Chou, Chao-Liang, Po, Helen L., Lin, Ya-Ju, Hwang, Yung-Pin, Kuo, Shu-Fan, Huang, Chun-Chao, Jhou, Zong-Yi, Yu, Hui-Fen, Lin, Hsiao-Chu, Wei, Cheng-Yu, Chen, Chih-Lin, Wu, Pei-han, Tsai, Yi-Ching, Yen, Shang-Yih, Lee, Jiunn-tay, Chou, Chung-Hsing, Ko, Chien-An, Chen, Po-Lin, Tsuei, Yuang-Seng, Chen, Wen-Hsien, Liao, Nien-Chen, Liaw, Yeng-Fung, Yeh, Hsu-Ling, Lien, Li-Ming, Hsiao, Chen-Yu, Lin, Kuan-Yu, Yang, Tsui-Hua, Chan, Lung, Chen, Jia-Hung, Yu, Shun-Fan, Su, I-Chang, Lu, Yueh-Hsun, Sung, Sheng-Feng, Yang, Tzu-Hsien, Hsu, Yung-Chu, Su, Yu-Hsiang, Hung, Ling-Chien, Lin, Mao-Hsun, Su, Chien-Yu, Liu, Hon-Man, Huang, Yung-Chuan, Wan, Chih-Cheng, Lin, Ching-Huang, Yen, Cheng- Chang, Shih, Ching-Sen, Lin, Chun-Shien, Lee, Meng, Tsai, Yuan-Hsiung, Huang, Yen-Chu, Hung, Wei-Tse, and Lee, Jiann-Der

Published
2024
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9. Development of a Soft Gripper - Sensing, Actuation, and Controls

Author

YANG, WU-TE

Subjects
Mechanical engineering, dynamical modeling, soft actuator, soft robot, soft sensor, underactuated control
Abstract

Soft robotics is an emerging field that offers adaptability and flexibility compared to rigid robots due to their inherent elasticity. Unlike rigid robots, soft robots exhibit distinct properties, kinematics and dynamics. This research, therefore, intends to introduce novel advancements in soft gripper design and control. Inspired by human skin, a dual-layer soft tactile sensor is proposed with pyramid-shaped sensing elements. It employs machine learning approaches to achieve superior sensitivity in detecting contact force, contact location, and other features. A novel design methodology for soft pneumatic actuators utilizes simplified cantilever beam approximations to develop kinematic and dynamic models. Model-based optimization design techniques are applied to determine optimal dimensional parameters, enhancing the actuator's properties such as force/torque, bendability, and controllability. To accurately capture nonlinear mechanical behavior, an alternative modeling approach using Ludwick’s Law and data-driven parameter estimation is introduced and validated through experimentation. The approach optimizes the efficiency of parameter determination within dynamical models while improving accuracy. Addressing control challenges in under-actuated systems, this research explores coordination strategies for multiple soft actuators of a soft gripper, employing stable model inversion to a multi-finger soft gripper. Simulation and experimental validation demonstrate the effectiveness of this strategy in achieving precise and coordinated motions, thereby advancing the practical applicability of soft robots. Overall, these techniques aim to enhance the capabilities of current soft grippers, paving the way for their broader deployment in real-world scenarios.

Published
2024

10. Grounded-Knowledge-Enhanced Instruction Understanding for Multimodal Assistant Applications

Author

Wu, Te-Lin

Subjects
Artificial intelligence, Assistive AI, Computer Vision, Foundation Models, Grounding, Multimodal, Natural Language Processing
Abstract

With the recent advancements in artificial intelligence (AI), researchers are making endeavours towards building an AI that can understand humans, collaborate with humans, and help or guide them to accomplish certain everyday chores. The actualization of such an assistant AI can pose several challenges including planning (on certain events), comprehending human instructions, multimodal understanding, and grounded conversational ability.Imagine a scenario that one wishes to perform a task, such as “making a plate of fried rice”, or “purchasing a suitable sofa bed”, which can require multiple steps of actions and manipulation of certain objects. How would an assistant AI collaborate with humans to accomplish such desired tasks? One crucial aspect of the system is to understand how and when to take a certain action, which is often learned from interpreting and following a guidance, a piece of resource that encompasses knowledge about accomplishing the task and potentially the events that will occur during task completions. The guidance can come from human verbal interactions (e.g., in the form of a conversation or a question) or static written instructional manuals.In the first part of this thesis, I will decompose the proposed system framework into three foundational components: (1) task-step sequencing/planning, where the AI needs to understand the appropriate sequential procedure of performing each sub-task to accomplish the whole task, especially when the task knowledge is learned from instructional resources online that can be many and do not always come consolidated with proper ordering; (2) action-dependencies understanding, where an agent should be able to infer dependencies of performing an action and the outcomes after executing a particular action, in order to examine the situations and adjust the plan of accomplishing tasks; (3) multimodal grounding and active perception, that we equip the AI with the ability to actively ground the visually perceived surroundings to the textual instructions (or verbal interactions) and perform reasoning over multimodal information along the task completions.Combining the two parts, the foundational components as well as the established novel challenging benchmarks, this thesis aims at providing a comprehensive research road map for the research direction of next-generation (multimodal) AI assistants.

Published
2024

13. Spatiotemporally organized immunomodulatory response to SARS-CoV-2 virus in primary human broncho-alveolar epithelia

Author

Castaneda, Diana Cadena, Jangra, Sonia, Yurieva, Marina, Martinek, Jan, Callender, Megan, Coxe, Matthew, Choi, Angela, García-Bernalt Diego, Juan, Lin, Jianan, Wu, Te-Chia, Marches, Florentina, Chaussabel, Damien, Yu, Peter, Salner, Andrew, Aucello, Gabrielle, Koff, Jonathan, Hudson, Briana, Church, Sarah E., Gorman, Kara, Anguiano, Esperanza, García-Sastre, Adolfo, Williams, Adam, Schotsaert, Michael, and Palucka, Karolina

Published
2023
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29. Roles of autophagy in orthodontic tooth movement

Author

Li, Yina, Jacox, Laura Anne, Coats, Shannon, Kwon, Jane, Xue, Peng, Tang, Na, Rui, Zou, Wang, Xiaoyu, Kim, Yong-Il, Wu, Te Ju, Lee, Yan-Ting, Wong, Sing Wai, Chien, Chia Hui, Cheng, Chih-Wen, Gross, Ryan, Lin, Feng-Chang, Tseng, Henry, Martinez, Jennifer, and Ko, Ching-Chang

Published
2021
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33. Manipulator Trajectory Optimization Using Reinforcement Learning on a Reduced-Order Dynamic Model with Deep Neural Network Compensation

Author

Yung-Hsiu Chen, Wu-Te Yang, Bo-Hsun Chen, and Pei-Chun Lin

Subjects
trajectory planning, deep reinforcement learning, energy/speed optimization, obstacle avoidance, Mechanical engineering and machinery, TJ1-1570
Abstract

This article reports the construction of an articulated manipulator’s hybrid dynamic model and trajectory planning and optimization of the manipulator using deep reinforcement learning (RL) on the dynamic model. The hybrid model was composed of a physical-based reduced-order dynamic model, linear friction and damping terms, and a deep neural network model to compensate for the nonlinear characteristics of the manipulator. The hybrid model then served as the digital twin of the manipulator for trajectory planning to optimize energy efficiency and operation speed by using RL while taking obstacle avoidance into consideration. The proposed strategy was simulated and experimentally validated. The energy consumption along paths was reduced and the speed was increased so the manipulator could achieve more efficient motion.

Published
2023
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44. The Influence of Cementitious Materials and Admixture on Ground Improvement Strength Using the Jumbo-Jet Special Grouting Method

Author

Ko, Wu-Te

Subjects
関西大学, Kansai University
Abstract

For ground improvement projects in Taiwan, the jumbo-jet special grouting method is often adopted in consideration of the maturity of construction technology and the project economy. The type of cementitious materials used in this method and the presence or absence of bentonite affects its strength although this is often ignored in the engineering circle in Taiwan. This study aims to address this issue by conducting a series of laboratory experiments under simulated site conditions. The findings are expected to have a positive impact on Taiwan's engineering circle.

Published
2023

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