Results 181 to 190 of about 11,517 (301)

Changes in body weight, awareness, and behaviors among workers participating in an online specific health guidance program incorporating multiple nudges: a process evaluation. [PDF]

Environ Occup Health Pract
Takebayashi M, Kashiwado C, Kaneda Y, Ohhata S, Koyama T.   +4 more
europepmc   +1 more source

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Nudge for governmental change in health policy. [PDF]

Front Public Health
Alsaqqa HH.
europepmc   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

Unlocking a Nitrosuccinate Lyase for Decarboxylative Enzymatic Hydronitration

Angewandte Chemie, EarlyView.
The nitrosuccinate lyase CreD catalyzes C–NO2 bond formation using nitrite in water and shows synthetic practicality with high turnover numbers up to 102,000. A combination of protein engineering and computational methods helped to reveal the mechanistic principles that underpin this unique enzymatic activity.
Matteo Aleotti, Hannah Dreisbach, Rémi Corlay, Clara Weber, Tamara Reiter, Wael Elaily, Bastian Daniel, Klaus Zangger, Pedro A. Sánchez‐Murcia, Mélanie Hall   +9 more
wiley   +2 more sources

Improving Context-Aware Personalized Nudging: Using Wearable Sensors to Reduce Sedentary Behavior. [PDF]

Dela J Public Health
Rahman T, Vemuri A, Firkin CJ, Bodt B, Orsega-Smith E, Dominick GM, Decker K.   +6 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Metal‐free Hydrogen Generation from Seawater and Silicon Waste: A Circular Approach

Angewandte Chemie, EarlyView.
Hydrogen was rapidly generated directly from untreated seawater and polymeric Si waste without any transition metal catalyst. The in situ generated polymeric cross‐linked Si resin was completely depolymerized under mild conditions into chloro‐silane monomers.
Mustapha Hamdaoui, Anja Steinmaurer, Philipp Jernej, Daniel Legenstein, Peter Hartmann, Adrian Daniel Boese, Katalin Barta   +6 more
wiley   +2 more sources

Behavioral nudges and targeted education as sustainability strategies to reduce hazardous waste generation in intensive care and perioperative settings: a prospective interventional study. [PDF]

J Anesth Analg Crit Care
Roveri G, Vacondio M, Martintoni R, Riemer K, Bock M, Rauch S.   +5 more
europepmc   +1 more source

Design Optimization of Soft Fabric Pneumatic Actuators

Advanced Intelligent Systems, EarlyView.
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos   +2 more
wiley   +1 more source