Results 91 to 100 of about 1,163,868 (343)

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

Support for Teaching & Learning at Binghamton - 8 Take Aways [PDF]

, 2015
8 take aways handout from the CLT workshop on support for teaching and learning offered at Binghamton University.https://orb.binghamton.edu/clt_workshops/1011/thumbnail ...
Center for Learning and Teaching (CLT),
core   +1 more source

A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell, Vanessa Rück, Mikkel B. Liisberg, Cecilia Cerretani, Villads R. M. Nielsen, Tom Vosch, Stacy M. Copp   +6 more
wiley   +1 more source

University Problems - Trying to Look on the Bright Side [PDF]

, 2013
https://digitalcommons.winthrop.edu/weeklyreader/1028/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

A teaching accompaniment and development model: possibilities and challenges for teaching and learning centers

International Journal for Academic Development, 2019
We propose a ‘1-to-1’ accompaniment and teaching development model emerging from the analysis and reflection of professional experience at a Teaching and Learning Center in a Chilean university.
Jerez Yáñez, Oscar, Aranda Cáceres, Romina, Corvalán Canessa, Fernanda, González Rojas, Lesslie, Ramos Torres, Armin   +4 more
openaire   +3 more sources

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Web-based discussion in teaching and learning organic chemistry: a scoping literature review on its current trends, cognitive, social, and teaching aspects

Cogent Education
Web-based discussion tools have emerged as valuable platforms in teaching and learning chemistry. Despite the increasing use of web-based discussion tools, their effectiveness in enhancing cognitive, social, and teaching aspects of organic chemistry ...
Aloys Iyamuremye, Francois Niyongabo Niyonzima, Innocent Twagilimana   +2 more
doaj   +1 more source

Examining an Online Microbiology Game as an Effective Tool for Teaching the Scientific Process

Journal of Microbiology & Biology Education, 2013
This study investigates the effectiveness of the online Flash game Disease Defenders in producing knowledge gains for concepts related to the scientific process.
Kristi G. Bowling, Yvonne Klisch, Shu Wang, Margaret Beier   +3 more
doaj   +1 more source

Heartfelt Thanks from a Former Cabbage Head and Warm Body - Here\u27s To Ya, Mr. Brevards! [PDF]

, 2014
https://digitalcommons.winthrop.edu/weeklyreader/1039/thumbnail ...
Bird, John, Teaching and Learning Center
core   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source