Results 151 to 160 of about 514,599 (310)

Basic language programs for one-, two-, three-, or four-factor within- and between-subjects ANOVAs for Apple II and Commodore PETs [PDF]

, 1980
L. R. Hartley
openalex   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

Advanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang, Jaerok Kim, Sang‐Min Lee, Sungpyo Baek, Saeroonter Oh, Yoonmyung Lee, Sungjoo Lee   +6 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

Advanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon, Dong Ho Lee, Seyoung Oh, Jongwon Yoon, Hyo‐Bae Kim, Ji‐Hoon Ahn, Woojin Park, Han Seul Kim, Byungjin Cho   +8 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Artificial intelligence in action: building simulation and analysis tools for powder diffraction. [PDF]

Acta Crystallogr A Found Adv
Scardi P, Malagutti MA.
europepmc   +1 more source

Ce3+‐Activated Lithium Rare‐Earth Oxonitridolithosilicates: A New Class of LED Phosphors with Similarities to Garnets

Advanced Functional Materials, EarlyView.
Garnet‐like luminescence upon Ce3+‐activation is found in the first six representatives Li9RESi4N4O8 (RE = Y, La, Gd, Dy, Yb, Lu) of the substance class of lithium rare‐earth oxonitridolithosilicates, which also show a novel structure type. High‐temperature solid‐state synthesis yielded crystalline samples for single‐crystal X‐ray diffraction‐based ...
Kilian M. Rießbeck, Markus Seibald, Christiane Stoll, Anja Köbler, Markus Suta, Hubert Huppertz   +5 more
wiley   +1 more source

Benchmarking large language models for genomic knowledge with GeneTuring. [PDF]

Brief Bioinform
Shang X, Liao X, Ji Z, Hou W.
europepmc   +1 more source

Engineering Highly Cellularized Living Materials via Mechanical Agitation

Advanced Functional Materials, EarlyView.
A mechanical agitation strategy is developed to engineer highly cellularized living materials, achieving cell densities of up to 1 billion cells per milliliter. By precisely tuning properties such as stiffness and toughness in blood clots, the approach is validated in both in vitro and in vivo studies.
Aram Bahmani, Shiyu Liu, Evan Johnston, Weiyi Wan, Xiaoyi Lan, Tianqin Ning, Alexander Nottegar, Ran Huo, Shuaibing Jiang, Jianyu Li   +9 more
wiley   +1 more source

Analyzing Patient Complaints in Web-Based Reviews of Private Hospitals in Selangor, Malaysia, Using Large Language Model-Assisted Content Analysis: Mixed Methods Study. [PDF]

JMIR Form Res
Sulaiman MH, Muda N, Abdul Razak F.
europepmc   +1 more source

Nanomaterial‐Integrated Fiber Neural Probes for Deep Brain Monitoring and Modulation: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng, Yang Li, Muhammad Fayyaz Kashif, Linda Piscopo, Massimo De Vittorio, Ferruccio Pisanello   +5 more
wiley   +1 more source