Search Results - "Xin, Kevin"
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A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery
Published in Head & neck (01-05-2024)“…Background New patient referrals are often processed by practice coordinators with little‐to‐no medical background. Treatment delays due to incorrect referral…”
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Journal Article -
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On Laws of Thought—A Quantum-like Machine Learning Approach
Published in Entropy (Basel, Switzerland) (01-08-2023)“…Incorporating insights from quantum theory, we propose a machine learning-based decision-making model, including a logic tree and a value tree; a genetic…”
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Limited generalizability of deep learning algorithm for pediatric pneumonia classification on external data
Published in Emergency radiology (01-02-2022)“…Purpose (1) Develop a deep learning system (DLS) to identify pneumonia in pediatric chest radiographs, and (2) evaluate its generalizability by comparing its…”
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Antimicrobial Susceptibility, Biotypes and Phylotypes of Clinical Cutibacterium (Formerly Propionibacterium) acnes Strains Isolated from Acne Patients: An Observational Study
Published in Dermatology and therapy (01-12-2019)“…Introduction The aim of this study was to investigate the distribution of antimicrobial susceptibility, biotypes and phylotypes of clinical Cutibacterium acnes…”
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Poly(ε-Caprolactone) Nanofiber Wrap Improves Nerve Regeneration and Functional Outcomes after Delayed Nerve Repair
Published in Plastic and reconstructive surgery (1963) (01-07-2019)“…The purpose of this study was to assess the efficacy of biodegradable, electrospun poly(ε-caprolactone) nanofiber nerve conduits in improving nerve…”
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Interconnectedness of global hemostasis assay parameters in simultaneously evaluated thrombin generation, fibrin generation and clot lysis in normal plasma
Published in Thrombosis research (01-04-2016)“…Abstract Background Fluorogenic thrombin generation (TG) assays and turbidity-based fibrin generation (FG)- and fibrinolysis (FL)-resistance assays have been…”
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Selective serotonin reuptake inhibitors may lead to improved cataract surgery outcomes in patients with amblyopia
Published in Clinical ophthalmology (Auckland, N.Z.) (01-08-2019)“…To evaluate the effects of selective serotonin reuptake inhibitor (SSRI)/serotonin norepinephrine reuptake inhibitor (SNRI) medications in combination with…”
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Journal Article -
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Design Optimization for the Stability of Concentric Tube Robots
Published in IEEE robotics and automation letters (01-10-2021)“…Concentric tube robots are catheter-sized continuum robots that show dexterous movement for minimally invasive surgical procedures. However, one of the major…”
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Designing Concentric Tube Manipulators for Stability Using Topology Optimization
Published in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-10-2018)“…One of the major problems facing the development and road to practical usage of concentric tube continuum robots in surgical environments is that of…”
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Conference Proceeding -
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QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting
Published 02-05-2024“…Forecasting, to estimate future events, is crucial for business and decision-making. This paper proposes QxEAI, a methodology that produces a probabilistic…”
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Journal Article -
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Liquid Phase Adsorptive Desulfurization Using Modified Zeolites for Transportation and Fuel Cell Applications
Published 01-01-2020“…Sulfur removal from transportation fuels is essential for maintaining a pollutant-free environment and ensuring a healthy life. Adsorptive desulfurization…”
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Dissertation -
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Abstract 2475: Bmi1 is a therapeutic target in recurrent medulloblastoma
Published in Cancer research (Chicago, Ill.) (15-07-2016)“…Abstract We describe the epigenetic regulator Bmi1 as a novel therapeutic target for the treatment of recurrent human Group 3 medulloblastoma, a childhood…”
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Food safety regulatory systems in Europe and China: A study of how co-regulation can improve regulatory effectiveness
Published in Journal of Integrative Agriculture (01-11-2015)“…Food safety has received a great deal of attention in both developed and developing countries in recent years. In China, the numerous food scandals and scares…”
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A computational model for synaptic message transmission
Published 02-10-2023“…A computational model incorporating insights from quantum theory is proposed to describe and explain synaptic message transmission. We propose that together,…”
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Machine learning for discovering laws of nature
Published 18-03-2023“…Based on Darwin's natural selection, we developed "machine scientists" to discover the laws of nature by learning from raw data. "Machine scientists" construct…”
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Machine learning for decision-making under uncertainty
Published 08-12-2022“…We live in a world brimming with uncertainty, where we constantly have to make a lot of decisions under incomplete information. We are firm believers that our…”
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Journal Article -
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Effect of sample size on the response of DEM samples with a realistic grading
Published in Particuology (01-08-2014)“…This paper shows that for DEM simulations of triaxial tests using samples with a grading that is repre- sentative of a real soil, the sample size significantly…”
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Journal Article -
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Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
Published in Clinical and translational science (01-08-2022)“…Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data…”
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Journal Article -
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Implementation of rotational resistance models' A critical appraisal
Published in Particuology (01-10-2017)“…Contact models that simulate rotational resistance at particle contacts have been proposed as a means to capture the effect of shape in DEM simulations. This…”
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Journal Article