Results 201 to 210 of about 1,272,541 (289)

Behavioral biases in intertemporal decisions

, 2013
Modeling intertemporal decisions is essential to understand many financial decisions both at the household and at the company level. Most of the time, these decisions are very complicated and it is very difficult to develop a single model that can describe the intertemporal decision making process in different contexts.
openaire   +1 more source

Conformational Switching of Proteins on Material Surfaces Enabled by Peptide‐Oriented Adsorption

Advanced Functional Materials, EarlyView.
Responsive biointerfaces could be achieved using conformationally responsive proteins; however, their interconversion can be lost upon surface adsorption. Herein, we demonstrate that the incorporation a Au binding peptide into calmodulin allows for binding control on Au wherein the protein retains conformational switching. This capability was confirmed
Sakthirupini Ramamurthy, Kyle B. Meerbott, Lorenzo Travaglini, Garima S. Dobhal, Artur Sawicki, Marc R. Knecht, Tiffany R. Walsh, Dominic J. Glover   +7 more
wiley   +1 more source

From "Rational Agent" to "Bounded Rationality": A Qualitative Study of Decision-Making Biases in Exercise Behavior Among Post-PCI Patients with Coronary Heart Disease. [PDF]

Patient Prefer Adherence
Xia T, Li H, Liu L, Jin R, Xie Y, Zhang G, Han Y, Xing H, Wang Y, Wang J.   +9 more
europepmc   +1 more source

An Edible Chitosan‐Based Acoustic Sensor for Sound‐Responsive Actuation in Edible Robots

Advanced Functional Materials, EarlyView.
This study introduces an edible acoustic sensor for robotic food and edible robotics. Built from a chitosan piezoelectric film between gold electrodes, the sensor enables acoustic communication through ON/OFF keying. Integrated into an edible robot with pneumatically actuated arms and neck, it responds to high‐frequency tones.
Valerio Francesco Annese, Bokeon Kwak, Gaia de Marzo, Giulia Coco, Valentina Antonaci, Leonardo Lamanna, Massimo De Vittorio, Dario Floreano, Mario Caironi   +8 more
wiley   +1 more source

AI cannot replace human participants in behavioral research. [PDF]

Proc Natl Acad Sci U S A
Hoover J, Cooke ADJ, Tomaino G, Lee SH.
europepmc   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Digital nudging in software development: a review and research agenda. [PDF]

Front Artif Intell
Pribik I, Felfernig A.
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Impaired midfrontal‑motor theta phase synchronization characterizes maladaptive motivational behavior in people with obsessive‑compulsive disorder. [PDF]

PLoS Biol
Pang Y, Zhou D, Peng Z, Liu W, Huang R, Seger CA, Chen Q.   +6 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source