Results 191 to 200 of about 4,966,594 (348)

Fast Charge–Discharge of LiNi0.9Co0.05Mn0.05 Enabled by a Bikitaite‐Infused Separator for Li Metal Batteries

Advanced Functional Materials, EarlyView.
A bikitaite‐infused cellulose separator is introduced for Li metal batteries, leveraging bikitaite zeolite's ion‐conductive properties to regulate Li+‐ion flux and suppress dendrite growth. The membrane design ensures uniform Li plating, enhanced electrolyte wettability, and robust thermal/mechanical stability, delivering stable performance and low ...
Isheunesu Phiri, Kennedy Ssendagire, Sun‐Yul Ryou   +2 more
wiley   +1 more source

CLASSIFICATION OF FEATURE SELECTION BASED ON ARTIFICIAL NEURAL NETWORK

, 2009
Pattern recognition (PR) is the central in a variety of engineering applications. For this reason, it is indeed vital to develop efficient pattern recognition systems that facilitate decision making automatically and reliably.
Hussain, Aini
core  

Artificial selection for reversal learning reveals limited repeatability and no heritability of cognitive flexibility in great tits (Parus major). [PDF]

Proc Biol Sci, 2023
van den Heuvel K, Quinn JL, Kotrschal A, van Oers K.   +3 more
europepmc   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Natural and artificial selection and suffering and well-being

Frontiers in Genetics, 2014
Jeroen eVan Rooijen
doaj   +1 more source

Fitness and artificial selection [PDF]

Heredity, 1961
Marjorie Dinsley, J M Thoday
openaire   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Full-Length RNA Sequencing Provides Insights into Goldfish Evolution under Artificial Selection. [PDF]

Int J Mol Sci, 2023
Du X, Zhang W, Wu J, You C, Dong X.
europepmc   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

Advanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen, Chi Cong Nguyen, Tran Bach Dang, Phuoc Thien Phan, Jordan Thorpe, Michael Listyawan, Nhat Minh Doan, Sinuo Zhao, Hongru Chen, Trung Thien Hoang, Mingsheng Xu, Jisheng Han, Thanh Nho Do, Adam Hill, Timothée Mouterde, Hoang‐Phuong Phan   +15 more
wiley   +1 more source

Artificial selection for resistance to copper and off-target physiological and behavioral effects in Drosophila melanogaster. [PDF]

Ecotoxicol Environ Saf
Arnold KA, Everman ER.
europepmc   +1 more source