Results 231 to 240 of about 3,186,017 (302)
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li +7 more
wiley +1 more source
When algorithms set the roster: algorithmic scheduling, work-time control, and work-related burnout among hotel employees. [PDF]
Wang M, Kunasekaran P.
europepmc +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
HSG-Net: A Scheduling-Aware Heterogeneous Graph Surrogate for Aviation Sensing-Data Processing Chains. [PDF]
Guo P, Huang Z, Lei P, Yang Z.
europepmc +1 more source
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez +9 more
wiley +1 more source
Intelligent Cloud Resource Usage Potentially to Improve Task Scheduling by the use of Artificial Intelligence. [PDF]
Mohammed Lateef H +7 more
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Clinical risk-aware reinforcement learning for latency-constrained healthcare IoT scheduling. [PDF]
Jumah JAB +7 more
europepmc +1 more source
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo +11 more
wiley +1 more source
Optimization of multi-objective flexible scheduling for container rail mounted gantry cranes in railway logistics yards. [PDF]
Wang H, Xu C, Hou Y, Zhang J, Liu Z.
europepmc +1 more source

