Results 91 to 100 of about 328,942 (275)

Optimal Nonlinear Income Taxation with Learning-by-Doing [PDF]

This paper examines a two-period model of optimal nonlinear income taxation with learning-by-doing, in which second-period wages are an increasing function of first-period labour supply.
Alan Krause
core  

Learning by Doing: Student & Faculty Reflections on a Collaborative Model for Conducting and Publishing Mixed Methods Research in a Graduate Course. [PDF]

Innov High Educ, 2022
Costello GR, Davis KR, Crocco OS.
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Enseigner les humanités numériques en Tunisie : conditions, pratiques et choix

Humanités Numériques
The teaching of the digital humanities in Tunisian universities, though present, is not well structured, and it has not yet been the subject of research or didactic analysis.
Delphine Cavallo, Aïda Chebbi
doaj   +1 more source

Learning by Doing: Practical Strategies to Integrate Resident Education and Quality Improvement Initiatives. [PDF]

J Grad Med Educ, 2021
Clemo R, Parsons AS, Boggan JC, Shieh L, Miller BP.   +4 more
europepmc   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Learning by Doing in Markets, Firms, and Countries [PDF]

Kazuhiro Mishina
core   +18 more sources

Learning by doing: an observational study of the learning curve for ultrasonic fundus-first dissection in elective cholecystectomy. [PDF]

Surg Endosc, 2022
Blohm M, Sandblom G, Enochsson L, Cengiz Y, Austrums E, Abdon E, Hennings J, Hedberg M, Gustafsson U, Diaz-Pannes A, Österberg J.   +10 more
europepmc   +1 more source

Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas, Connor A. Law, Joan A. Casey, Thomas Mosley, Rebecca F. Gottesman, Ramon Diaz‐Arrastia, Holly Elser, Andrea L. C. Schneider   +7 more
wiley   +1 more source

Organizational Capital, Learning-by-Doing and Investment Volatility [PDF]

This paper addresses the issue of plant-level investment volatility in the context of a purely convex model, where fluctuations are driven by technological shocks.
Fabiano Rodrigues Bastos
core