Results 131 to 140 of about 1,037,044 (293)

Measuring the Integration of Staple Food Markets in Sub-Saharan Africa: Heterogeneous Infrastructure and Cross Border Trade in the East African Community [PDF]

This analysis employs cointegration methods and semiparametric regression in order to assess the integration of maize markets and the factors determining national and cross-national transmission of price signals in Sub-Saharan Africa.
Rico Ihle, Sergiy Zorya, Stephan von Cramon-Taubadel   +2 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Semi-empirical model to estimate ideal conditions for the growth of large protein crystals. [PDF]

Acta Crystallogr D Struct Biol, 2020
Nakamura H, Takahashi S, Inaka K, Tanaka H.   +3 more
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Multiple-Play Bandits in the Position-Based Model

, 2016
Sequentially learning to place items in multi-position displays or lists is a task that can be cast into the multiple-play semi-bandit setting. However, a major concern in this context is when the system cannot decide whether the user feedback for each ...
Cappé, Olivier, Lagrée, Paul, Vernade, Claire   +2 more
core   +1 more source

Pellet Printing for Soft Robotic Devices

Advanced Science, EarlyView.
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu, Ju‐Hung Chen, Ariana Olivares, Katherine Kostak, Stefan Pedicone, Savita V. Kendre, Markus P. Nemitz   +6 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

A semi-empirical model to optimize continuous-flow hyperpolarized ¹²⁹Xe production under practical cryogenic-accumulation conditions. [PDF]

J Magn Reson, 2020
Plummer JW, Emami K, Dummer A, Woods JC, Walkup LL, Cleveland ZI.   +5 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Semi-empirical modelling of SiGe hetero-structures

, 2012
The k . p perturbation method, initially developed for bulk systems has subsequently been generalised to model heterostructures using the envelope function approximation. This semi-empirical modelling technique provides vital information on the electronic and optical properties of complicated material systems that form heterostructures.
openaire   +3 more sources