Results 131 to 140 of about 13,577 (310)

A Pressure Microsensor Made of Parylene‐C for Use as Medical Implant

Advanced Materials Technologies, EarlyView.
A monolithic parylene‐C pressure sensor with gold strain gauges provides 6.2 μV$\mu{\rm V}$·mmHg$\cdot{\rm mmHg}$−1$^{-1}$ sensitivity. The morphology of a sputtered thin film strain sensor is granular/columnar, which results in a high gauge factor of 7.5. Thermal bonding and parylene‐C coating create a hermetic cavity.
Ann‐Kathrin Klein, Victor Krajka, Andreas Dietzel   +2 more
wiley   +1 more source

Interpretable machine learning algorithms for calculating the heat conduction coefficient of crop-derived renewable fuels

Industrial Crops and Products
Accurate prediction of the heat conduction coefficient (HCC) of renewable fuels is essential for improving thermal management and advancing clean combustion technologies.
Walid Abdelfattah, Ramdevsinh Jhala, Ramachandran Thulasiram, Ahmed Mohsen, Aman Shankhyan, Manoj Kumar Ojha, Dhirendra Nath Thatoi, Fereydoon Ranjbar   +7 more
doaj   +1 more source

A robust-solution-based methodology to solve multiple-objective problems with uncertainty

, 2009
This paper presents the formulation and evaluation of a methodology to solve multiple-objective problems in the presence of uncertainty based on robustness.
Sevaux, Marc, Salazar, Daniel, Gandibleux, Xavier, Jorge, Julien   +3 more
core   +1 more source

Tunable‐Threshold UV Dosimetry With Programmable Luminescent Tags via Oxygen‐Mediated Room‐Temperature Phosphorescence

Advanced Materials Technologies, EarlyView.
A fully organic UV threshold dosimeter is developed by exploiting the oxygen‐sensitive room‐temperature phosphorescence of a purely organic emitter in a polymer matrix. Upon reaching a specific cumulative UV dose, photochemical oxygen depletion triggers a sharp, high‐contrast emission.
Tim Achenbach, Paul‐Anton Will, Karl Sebastian Schellhammer, Sebastian Reineke   +3 more
wiley   +1 more source

Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions

IEEE Access
The Physician Scheduling Problem (PSP) has emerged as a critical challenge in healthcare management, directly relevant to Sustainable Development Goal 3 (SDG 3) - Good Health and Well-being.
Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Mohamad Khairulamirin Md Razali   +5 more
doaj   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Renewable energy-powered water desalination and treatment network under wind power and water demand uncertainty: A possibilistic chance-constrained programming

Energy Strategy Reviews
Given the scarcity of freshwater resources, the growing significance of desalination is undeniable. It holds immense potential, particularly in regions grappling with severe water shortages.
Fateme Alipoor, Hani Gilani, Hadi Sahebi, Seyed Farid Ghannadpour   +3 more
doaj   +1 more source

Fast Algorithms for Solving H-infinity-Norm Minimization Problems

, 2001
In this paper we propose an efficient computation approach to minimize the H-infinity-norm of a transfer-function matrix depending affinely on a set of free parameters.
Varga, Andras, Parrilo, Pablo
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Using Mathematical Programming to Analyze and Improve Robust Queue Management in Healthcare Systems

International Journal of Applied Mathematics and Computing
Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service ...
openaire   +1 more source