Results 121 to 130 of about 6,051,053 (294)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Skeletal Age Assessment: A Comparison Of 3 Methods.

, 2015
The aim of this study was to evaluate the applicability of 3 methods of skeletal age assessment. The skeletal assessment methods of Greulich and Pyle (GP), Tanner et al (TW3), and Eklöf and Ringertz (ER) were used to analyze the dorsopalmar hand-wrist ...
Menezes, Alynne Vieira, Haiter-Neto, Francisco, Casanova, Marcia Spinelli, Kurita, Lucio Mitsuo   +3 more
core   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Prevalence of sarcopenia and sarcopenic obesity in Korean adults: The Korean Sarcopenic Obesity Study (KSOS) [PDF]

, 2009
*Context:* Sarcopenic obesity (SO), a combination of excess weight and reduced muscle mass and/or strength, is suggested to be associated with an increased risk of adverse health outcomes.
Tae Nyun Kim, Sei Hyun Baik, Hyun Joo Kang, Sae Jeong Yang, Wook Song, Ji A Seo, Sin Gon Kim, Hye Jin Yoo, Nan Hee Kim, Kang Il Lim, Kyung Mook Choi, Dong Seop Choi   +11 more
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Skeletal age evaluation using hand X-rays to determine growth problems. [PDF]

PeerJ Comput Sci, 2023
Umer M, Eshmawi AA, Alnowaiser K, Mohamed A, Alrashidi H, Ashraf I.   +5 more
europepmc   +1 more source

Age & Opportunity annual report 2011

, 2012
Strategic report for Age & Oppertunity ...
Age & Opportunity
core  

“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

Retracted: The Application of Magnetic Resonance Imaging in Skeletal Age Assessment. [PDF]

Appl Bionics Biomech, 2023
And Biomechanics AB.
europepmc   +1 more source

EVALUATING THE SKELETAL AGE OF CHILDREN ON THE BASIS OF BONE SIZE [PDF]

, 1994
EVALUATING THE SKELETAL AGE OF CHILDREN ON THE BASIS OF BONE SIZE. The study contains a description of the method of determining the age of children on the basis of long bones and other bones measurements.
Kozłowski, Tomasz, Florkowski, Andrzej
core