Results 121 to 130 of about 215,150 (354)

A Causation Analysis of Chinese Subway Construction Accidents Based on Fault Tree Analysis-Bayesian Network. [PDF]

Front Psychol, 2022
Qie Z, Yan H.
europepmc   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

Identification and Analysis of Metro Foundation Construction Safety Risk Based on Fault Tree Analysis

Chemical Engineering Transactions, 2016
Fuzzy theory and Bayesian network theory were based on the fault tree. The fault tree analysis method improved the fault analysis to obtain number of event's exact problem.
H.M. Liu, L. Liu, X.L. Ji
doaj   +1 more source

Exploring Quality Evaluation of Innovation and Entrepreneurship Education in Higher Institutions Using Deep Learning Approach and Fuzzy Fault Tree Analysis. [PDF]

Front Psychol, 2021
Wang C, Zheng P, Zhang F, Qian Y, Zhang Y, Zou Y.   +5 more
europepmc   +1 more source

Matrix Tropism Influences Endometriotic Cell Attachment Patterns

Advanced Functional Materials, EarlyView.
The influence of substrate stiffness and multicellular coculture on endometriotic cell attachment to extracellular matrix‐laden microarrayed islands is reported. This model investigates early endometriotic cell attachment, aiming to capture “lesion initiation events”.
Hannah S. Theriault, Hannah R.C. Kimmel, Alison C. Nunes, Allison L. Paxhia, Sarah Hashim, Kathryn B.H. Clancy, Gregory H. Underhill, Brendan A.C. Harley   +7 more
wiley   +1 more source

Analysis of the impact of a pandemic on the control of the process safety risk in major hazards industries using a Fault Tree Analysis approach. [PDF]

J Loss Prev Process Ind, 2022
Ashraf AM, Imran W, Véchot L.
europepmc   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Modeling and Evaluation of Reliability in Rocket Engine by Fault Tree Analysis [PDF]

فصلنامه علوم و فناوری فضایی, 2010
Recognition of any type of failures in systems and prediction of its reliability have important role in improvement of design of systems. Fault Tree Analysis (FTA) is one of the best techniques in analysis and improvement of complex systems.
M. Karbasian, A. Bagheri
doaj  

Native Lignin Migration and Clustering in Wood: Superhydrophobic, Antimold, and Tribonegative Layers for Rain‐Driven Electrification

Advanced Functional Materials, EarlyView.
This study proposes a sustainable solution for rainwater‐driven energy harvesting by harnessing the intrinsic properties of lignin in wood. The first demonstration of an all‐wood tribonegative material for liquid–solid triboelectric nanogenerators is presented, eliminating the need for fluorine‐containing polymers and functional additives. Abstract The
Xuetong Shi, Ran Bi, Xin Shu, Peipei Wang, Yeedo Chun, Zhixiang Chen, Chris Zhou, Yi Lu, Orlando J. Rojas   +8 more
wiley   +1 more source

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

Advanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang, Huiying Li, Shuodan Huang, Linxuan Zhang, Yan Gao, Ruoran Wang, Xiaoyu Wang, Hélder A. Santos, Zhenyu Yin, Bing Xia   +9 more
wiley   +1 more source