Results 111 to 120 of about 14,049,689 (261)

Problem-Based Learning in Child and Adolescent Psychiatry: A Perspective from Japan

Advances in Medical Education and Practice, 2021
Junko Iwatsuki,1,2 Takeshi Kondo,3 Noriyuki Takahashi,3– 5 Hideki Takami,3 Hiroshi Nishigori,6 Itzel Bustos-Villalobos,7 Branko Aleksic,7,8 Hideki Kasuya,7 Nobutaro Ban,9 Tetsuya Yagi,10 Norbert Skokauskas11,12 1International Collaboration Planning ...
Iwatsuki J, Kondo T, Takahashi N, Takami H, Nishigori H, Bustos-Villalobos I, Aleksic B, Kasuya H, Ban N, Yagi T, Skokauskas N   +10 more
doaj  

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Self- directed learning barriers in a virtual environment: a qualitative study

Journal of Advances in Medical Education and Professionalism, 2017
Introduction: There is a growing trend in online education courses in higher education institutes. Previous studies have shown that high levels of self-direction are essential for successful online learning.
NOUSHIN KOHAN, KAMRAN SOLTANI ARABSHAHI, RITA MOJTAHEDZADEH, ABBAS ABBASZADEH, TAYEBEH RAKHSHANI, AMIRHOUSEIN EMAMI   +5 more
doaj  

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Biomimetic Core–Shell Liposome Nanoparticles Deplete Lipoproteins and Enhance the Purity of Extracellular Vesicles from Human Blood

Advanced Functional Materials, EarlyView.
Lipoprotein‐mimicking nanoparticles (SL‐NPs), comprising Fe3O4@SiO2 cores coated with liposomal bilayers, selectively capture lipoproteins through protein corona formation. The resulting SL‐NP‐lipoprotein complexes can be removed by low‐speed centrifugation, thereby enhancing the purity of small extracellular vesicles (sEVs) isolated from human serum ...
Man‐Di Wang, Andrew J. Perciaccante, David Inman, Bong Hwan Sung, Alissa M. Weaver, Suzanne M. Ponik, Ying Ge, Song Jin   +7 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Ionizable Lipid‐Dependent Optimization of Steroid Lipid Nanoparticles With Tunable Immunomodulatory Properties

Advanced Materials, EarlyView.
A novel engineering strategy that establishes material design principles for incorporating anti‐inflammatory steroids into lipid nanoparticles to reduce LNP‐induced inflammation while retaining mRNA delivery. Results are validated in vitro and in three animal models of inflammation and autoimmunity in vivo.
Ajay S. Thatte, Benjamin E. Nachod, Julia Baena, Jenna Muscat‐Rivera, Lesley Chaboub, Hannah C. Safford, Hannah C. Geisler, Hannah M. Yamagata, Melgious J. Y. Ang, Michael Kegel, Alexandre Poirier, Elaine R. Tong, Zhe Zhong, Qiangqiang Shi, Jinjin Wang, Elisa Battistini, Ye Zeng, Alex G. Hamilton, Kelsey L. Swingle, Drew Weissman, Jilian R. Melamed, Michael J. Mitchell   +21 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

An Inquiry into Professional Graduate Medical School

, 2001
The purpose of this study was to suggest the directions of improvement in medical education through analyzing the published reports about medical education system.
양은배
core  

Engineering Pluripotent Stem Cells‐Derived Inner Ear Organoids With Enhanced Maturation and Reproducibility by Micro‐Topographical Cues

Advanced Materials, EarlyView.
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma, Jungeun Lim, Woochan Kim, Yeon Ju Kim, Dream Kim, Shinyull Lee, Chaeyeon Park, Stephen Rhee, Shruthy Kuttapan, Jungho Ha, Sang Wook Park, Kyunghoon Kim, Noo Li Jeon, Sunho Park, Yun‐Hoon Choung, Jangho Kim   +15 more
wiley   +1 more source