Results 81 to 90 of about 45,615 (247)

Perception of working conditions on the quality of working life: Employees linked to health companies in Barranquilla, Colombia

open access: yes, 2017
Working conditions and their interaction on Quality of Working Life (QWL) perception in health sector employees from Barranquilla-Colombia were studied and modeled in a sample of 333 people aged between 16 and 73 years old.
Gamarra-Amarís O.   +4 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

open access: yesAdvanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder   +3 more
wiley   +1 more source

Duodenal neuroendocrine tumors: Short-term outcomes of endoscopic submucosal dissection performed in the Western setting

open access: yesEndoscopy International Open, 2023
Sunil Gupta   +7 more
doaj   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Comparison of guidewires for successful cannulation of biliary stenosis and targeting of biliary branches in ERCP

open access: yesEndoscopy International Open, 2023
Masanori Kobayashi   +3 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

BIM-Based Design Quality Indicator for Modular Construction

open access: yes
Modular construction requires a comprehensive assessment of the quality of design solutions, taking into account interconnected architectural, production, logistical, and digital factors at all stages of the lifecycle.
Sergey Pogorelskiy   +2 more
core   +1 more source

Bioengineered Exosome‐Loaded Immunomodulatory Bioadhesive Spray Reverses Liver Fibrosis and Metabolic Dysfunction That Triggers Beneficial Gut‐Liver Crosstalk in Chronic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
Umbilical cord stem cell‐derived exosomes encapsulated in an immunomodulatory bioadhesive hydrogel spray enable localized therapy, sustained vesicle delivery, macrophage polarization, suppress systemic inflammation, and mitigate glucose and insulin homeostasis impairments in MAFLD.
Triya Saha   +4 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

open access: yesAdvanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi   +7 more
wiley   +1 more source

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