1,722,089 research outputs found
Active matter for removal of biofilm and endocrine-disrupting chemicals
Full text linkSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-08-01The student, Yu-Heng Deng, accepted the attached license on 2022-07-05 at 10:16.The student, Yu-Heng Deng, submitted this Dissertation for approval on 2022-07-05 at 10:25.This Dissertation was approved for publication on 2022-07-06 at 16:44.DSpace SAF Submission Ingestion Package generated from Vireo submission #18141 on 2022-11-16 at 10:17:40Biofilm and endocrine-disrupting chemicals are critical environmental problems that impact human’s health. Although a number of strategies have been proposed to address these issues, the recurrence of biofilm and endocrine-disrupting chemicals in the environment keep exerting adverse effects on our daily lives. To this end, the overall goal of my research is to develop a system of active matter for the removal of biofilm and endocrine-disrupting chemicals. In this dissertation, Chapter 1 discusses the methodologies of active matter fabrication, the fundamental issues caused by biofilm and endocrine-disrupt chemicals, and the current constraints in the removal of these two issues. Chapter 2 presents the design of active matter, so-called self- locomotive, antimicrobial microrobot (SLAM), and explains its mechanism to eliminate biofilm from target bio-fouled structures. Based on the findings in Chapter 2, Chapter 3 investigates how to prevent biofilm recurrence by constructing a collective analysis to understand the biofilm composition. Chapter 4 further explores how SLAM can be applied as a micro-cleaner to remove endocrine-disrupting chemicals through its intrinsic oxidation capability, along with in vitro studies that examines the toxicity of endocrine-disrupting chemicals after the treatments. Lastly, Chapter 5 summarizes the key findings through Chapter 2 to Chapter 4 and proposes the directions for future investigations
Preface to the Special Issue of Numerical Ocean Modeling and Prediction
No full textThe International Workshop for Numerical Ocean Modeling and Prediction was held at the National Taiwan University in Taipei, Taiwan, 23 - 25 April 2008. The workshop was organized by Yu-heng Tseng (National Taiwan University), Christopher N. K. Mooers (University of Miami), and Malcolm J. Bowman (State University of New York at Stony Brook). There were more than sixty participants representing Taiwan, Canada, Germany, Japan, South Korea, Vietnam, USA and the People's Republic of China
sj-docx-1-tim-10.1177_01423312231203043 – Supplemental material for A reverse chain search algorithm for the resource constraint in deep space detectors
No full textSupplemental material, sj-docx-1-tim-10.1177_01423312231203043 for A reverse chain search algorithm for the resource constraint in deep space detectors by Yu-Heng Qi, Yuan Liu, De-Feng Gu and Ju-Bo Zhu in Transactions of the Institute of Measurement and Control</p
A Systematic Review of Complications Associated withInitial Learning Curve of Endoscopic Spine SurgeryHighlighting the Necessity of Introducing an EffectiveFellowship to Train Competent Endoscopic SpineSurgeons
No full text10.37421/jsp.2020.9.456Journal of Spine95Jo
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