Results 61 to 70 of about 23,568 (222)
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Advanced Healthcare Materials, EarlyView.Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
Solving Systems of Polynomial Equations over GF(2) by a Parity-Counting Self-Reduction [PDF]
, 2019 We consider the problem of finding solutions to systems of polynomial equations over a finite field. Lokshtanov et al. [SODA'17] recently obtained the first worst-case algorithms that beat exhaustive search for this problem.
Kaski, Petteri +2 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Evaluation of a domestic photo sharing environment [PDF]
, 2010 A thesis submitted to University of Wolverhampton for the degree of Doctor of Philosophy in Ubiquitous ComputingUbiquitous computing describes the aspirations of including information systems into the fabric of our daily lives.
Sondhi, Gaurav
core
Spatial models for context-aware indoor navigation systems: A survey [PDF]
, 2012 This paper surveys indoor spatial models developed for research fields ranging from mobile robot mapping, to indoor location-based services (LBS), and most recently to context-aware navigation services applied to indoor environments.
Christophe Claramunt +6 more
core +1 more source
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 +3 more
wiley +1 more source
MABS validation through repeated execution and data mining analysis [PDF]
, 2006 Agent Based Modelling is the most interesting and advanced approach for simulating a complex system: in a social context, the single parts and the whole are often very hard to describe in detail.
Remondino, Marco, Correndo, Gianluca
core
Advanced Materials, EarlyView.The intimate interaction between negatively charged RNA molecules and conjugated polymers in organic electrochemical transistors (OECTs) in aqueous electrolytes is investigated. It demonstrates that RNA binding reduces the volumetric capacitance of the polymer channel, enabling the development of an ultrasensitive biosensing platform capable of ...
Hong Liu +7 more
wiley +1 more source
A QUALITATIVE DESCRIPTIVE STUDY EXPLORING ASSOCIATE DEGREE NURSING FACULTY’S EXPERIENCES TEACHING ELECTRONIC HEALTH RECORD SYSTEMS USE [PDF]
, 2017 There has been a persistent call for nursing education to prepare students to practice safely and competently in the technology-rich, information-laden healthcare system. The growth of the national health information infrastructure, built on an expanding
Winstanley, Helene Debra
core
Photo‐ and Thermally‐Induced Huge Layer Decoupling in Twisted Bilayer WSe2
Advanced Materials, EarlyView.A newly developed automated dark‐field tomography visualizes twist‐angle‐dependent structural relaxation and quantifies 3D structures in twisted bilayer WSe2. This approach reveals the evolution of local stacking configurations, thermally induced sub‐ångström interlayer decoupling, and light‐driven interlayer expansion on picosecond timescales ...
A. Nakamura +10 more
wiley +1 more source