Results 211 to 220 of about 397,913 (253)

Flexible Contract, Flexible Morale? Microcredit Design and Repayment Discipline

International Economic Review, EarlyView.
ABSTRACT Flexible repayment benefits borrowers, but practitioners fear increased moral hazard. Investigating their concerns requires disentangling repayment choices from repayment capacity, which is typically infeasible in field studies. We use a lab‐in‐the‐field experiment with 645 microcredit borrowers to cleanly identify the effect of repayment ...
Kristina Czura, Anett John, Lisa Spantig
wiley   +1 more source

Quantum-inspired pedestrian mobility modeling: Applying probabilistic spatial simulation to urban walkability and thermal comfort in Sri Lanka. [PDF]

PLoS One
Deshan M, Jayasinghe A, Abenayake C.
europepmc   +1 more source

Identification of Stress Location During Low-Speed Mobility Travel Using Environmental Data. [PDF]

Sensors (Basel)
Jadram N, Nishikawa Y, Sugaya M.
europepmc   +1 more source

System identification and robust PID controller tuning of quarter car suspension system using hybrid optimization techniques. [PDF]

Sci Rep
Ram SS, Kumar C, Saravanakumar R, Banjerdpongchai D.   +3 more
europepmc   +1 more source

The benefits of in situ reporting: Experimental evidence from in-the-moment surveys of public transit riders. [PDF]

Behav Res Methods
Antoun C, Frías-Martínez V, Garove A, Awasthi N, Abrar SM.   +4 more
europepmc   +1 more source

Overcoming Barriers to Engaging Latino Older Adults in an Advance Care Planning Clinical Trial: Perspectives for Researchers and Funders. [PDF]

J Palliat Med
Farro SA, Mino I, Lum HD, Kielty T, Grengs V, Patel C, Haynes CA.   +6 more
europepmc   +1 more source

Life-Sustaining Treatment Decisions and Parent Caregiving Experiences for Children With Medical Complexity.

JAMA Netw Open
Chuang SW, Lin JJ, Sheu SJ, Lin CP.
europepmc   +1 more source

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Deep Reinforcement Learning of Semi-Active Suspension Controller for Vehicle Ride Comfort

IEEE Transactions on Vehicular Technology, 2023
Among the controllable suspension systems, the control of the semi-active suspension is mostly based on optimal control. Recently, deep reinforcement learning is widely used as a method to solve the optimal control problem.
Daekyun Lee, S. Jin, Chibum Lee
semanticscholar   +1 more source