Results 51 to 60 of about 10,845 (267)
FEBS Open Bio, EarlyView.In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Electrical Grounding Fault Prediction of EMU Traction Motor
机车电传动, 2021 The traction motor plays a key role in the EMU train’s power transmission system. The most frequent fault of traction motor is grounding fault. By using RBF neural network, decision tree and support vector machine (SVM) respectively, the traction motor’s
Xuemiao PANG +4 more
doaj
Algerian Journal of Signals and Systems, 2020 The purpose of this work is the risk assessment of a stabilizer reflux drum using HAZOP - Fault tree - Event tree approach. This risk assessment approach aims first of all to identify potential accident scenarios using Hazard an Operability study (HAZOP)
Seif El Islam Bouasla +2 more
doaj +1 more source
A minimal cellulosome‐like system in Cellulosilyticum lentocellum
FEBS Open Bio, EarlyView.Cellulose‐degrading bacteria typically use cellulosomes, large multi‐enzyme complexes on a scaffold protein. In Cellulosilyticum lentocellum, we characterise a far smaller arrangement, a single scaffold bound to one cellulase through a single cohesin‐dockerin interaction.
John Allan +2 more
wiley +1 more source
Safety + AI: A Novel Approach to Update Safety Models Using Artificial Intelligence
IEEE Access, 2019 Safety-critical systems are becoming larger and more complex to obtain a higher level of functionality. Hence, modeling and evaluation of these systems can be a difficult and error-prone task.
Youcef Gheraibia +4 more
doaj +1 more source
Aging Is a Key Driver for Adult Acute Myeloid Leukemia
Aging and Cancer, EarlyView.Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Mechanics & IndustryIn recent years, the number of wind farms and the power of wind turbines have been greatly improved, and the gearing system, as a key structure in doubly-fed wind turbines, is of great significance to the safe and stable operation of wind turbines ...
Yin Xiaowei +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source