Results 111 to 120 of about 767,702 (363)

The Non-Linear Impact of Industry 4.0 on Carbon Emissions in China’s Logistics Sector

open access: yesApplied Sciences
This study investigates the impact of Industry 4.0 on carbon emissions within China’s logistics sector, focusing on its potential to support global carbon reduction goals.
Qingwen Li   +3 more
doaj   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

Ensuring the visibility and traceability of items through logistics chain of automotive industry based on AutoEPCNet Usage [PDF]

open access: yes, 2016
Traceability in logistics is the capability of the participants to trace the products throughout the supply chain by means of either the product and/or container identifiers in a forward and/or backward direction.
Beneš, Filip   +7 more
core   +2 more sources

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

open access: yesAdvanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang   +8 more
wiley   +1 more source

Logistics 4.0 and supply chain 4.0 in the automotive industry

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract The Industry 4.0 technologies give real benefits to the plants where they are implemented such as performance improvement, costs and delays reductions. The automotive plants are among the factories that could implement most of these technologies.
Krasimir Markov, Pavel Vitliemov
openaire   +1 more source

Enabling Technologies to Support Supply Chain Logistics 5.0

open access: yesIEEE Access
Industry 5.0 complements the Industry 4.0 approach by enabling the transition of industry digitization to a sustainable, human-centered and resilient paradigm.
Beatriz Andres   +3 more
doaj   +1 more source

World Class Supply Chain 2019: Next Generation Ideas [PDF]

open access: yes, 2019
Next Generation Ideas, being the theme for the Fourth Annual World Class Supply Chain Summit, reflected summit’s focus on understanding what is becoming and what will continue to be of increasingly of high priority for current and future supply chain ...
Haughton, Michael
core   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

open access: yesAdvanced Science, EarlyView.
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li   +22 more
wiley   +1 more source

Exploring educational simulation platform features for addressing complexity in Industry 4.0: a qualitative analysis of insights from logistics experts

open access: yesFrontiers in Education
IntroductionThis study explores the transformative impact of Industry 4.0 on industrial operations, emphasizing the integration of advanced technologies like AI, IoT, and Big Data Analytics to enhance process optimization, automation, and connectivity ...
Ernesto Pacheco-Velazquez   +2 more
doaj   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

open access: yesAdvanced Science, EarlyView.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee   +17 more
wiley   +1 more source

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