Programmable Pneumatic Actuator System for a Bioinspired Artificial Colon
A modular soft robotic colon simulator driven by programmable pneumatic actuation is developed to mimic physiological and pathological‐like motility patterns of the large intestine. Finite element–guided design and distributed control enable anatomically realistic deformation for peristalsis, segmentation, and mass movements, supporting capsule ...
Andrew Bickerdike +6 more
wiley +1 more source
The Ugandan youth public health ambassador program: a community-based public health initiative. [PDF]
Wipfli H +8 more
europepmc +1 more source
An enhanced connected banking system optimizer with multiple strategies for numerical optimization problems. [PDF]
Yin Y, Liu H, Cai S, Ye Y.
europepmc +1 more source
Visible Pregnancy, Invisible HIV: How Social Norms Shape Adolescents Protection Choice in Kenya and Nigeria. [PDF]
Bitère C +3 more
europepmc +1 more source
Artificial Intelligence in Cancer Research: Modality Dependence and Limited Visual-Spatial Integration in Multimodal Large Language Models for Breast Cancer Histopathology. [PDF]
Güler I +4 more
europepmc +1 more source
Malmquist productivity index for two-stage network systems under data uncertainty: A real-world case study. [PDF]
Shojaie SE +2 more
europepmc +1 more source
Frequency-constrained robust unit commitment via physics-guided piecewise-linear nadir surrogates and adaptive virtual inertia. [PDF]
Fard SHB, Shakarami MR, Doostizadeh M.
europepmc +1 more source
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A Linear Approximation for Chance-Constrained Programming
Journal of the Operational Research Society, 1987Decision environments involve the need to solve problems with varying degrees of uncertainty as well as multiple, potentially conflicting objectives. Chance constraints consider the uncertainty encountered. Codes incorporating chance constraints into a mathematical programming model are not available on a widespread basis owing to the nonlinear form of
David Olson
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Chance-Constrained Programming
Management Science, 1959A new conceptual and analytical vehicle for problems of temporal planning under uncertainty, involving determination of optimal (sequential) stochastic decision rules is defined and illustrated by means of a typical industrial example. The paper presents a method of attack which splits the problem into two non-linear (or linear) programming parts, (i)
A. Charnes, W. W. Cooper
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