Results 161 to 170 of about 1,138,309 (354)

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Advanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He   +20 more
wiley   +1 more source

A Solution‐Based Deposition Method Enabling Pigment Blue Edible Electrochemical Transistors

Advanced Science, EarlyView.
A novel solution‐based method is presented to produce Copper Phthalocyanine fibrous films displaying effective ion permeability and enhanced transconductance in electrolyte‐gated transistors architectures. Using these films, the first instance of a fully edible electrolyte‐gated transistor with volumetric capacitance, targeting in‐body applications, is
Alessandro Luzio, Fabrizio M. Ferrarese, Matteo Butti, Alberto D. Scaccabarozzi, Bojan Petrović, Sanja Kojić, Goran Stojanović, Simone Fiorini Granieri, Shubham Tanwar, Adrica Kyndiah, Mario Caironi   +10 more
wiley   +1 more source

Program Equivalence for Algebraic Effects via Modalities [PDF]

arXiv, 2019
This dissertation is concerned with the study of program equivalence and algebraic effects as they arise in the theory of programming languages. Algebraic effects represent impure behaviour in a functional programming language, such as input and output, exceptions, nondeterminism etc. all treated in a generic way.
arxiv  

Autonomous Self‐Evolving Research on Biomedical Data: The DREAM Paradigm

Advanced Science, EarlyView.
DREAM is a fully autonomous, self‐evolving biomedical research system capable of independently formulating scientific questions, performing analyses, and making new discoveries without human intervention. Validated in biomedical studies, DREAM significantly outperforms human scientists in research efficiency, accelerating scientific discovery and ...
Luojia Deng, Yijie Wu, Yongyong Ren, Hui Lu   +3 more
wiley   +1 more source

on the termination of logic programs with function symbols

, 2012
Recently there has been an increasing interest in the bottom-up evaluation of the semantics of logic programs with complex terms. The main problem due to the presence of functional symbols in the head of rules is that the corresponding ground program could be infinite and that finiteness of models and termination of the evaluation procedure is not ...
GRECO, Sergio, Spezzano F, Trubitsyna I.
openaire   +5 more sources

2D Programmable Photodetectors Based on WSe2/h‐BN/Graphene Heterojunctions

Advanced Science, EarlyView.
A programmable non‐volatile bipolar semi‐floating gate photovoltaic photodetector is developed, enabling reversible light response switching and improved response speed. This capability facilitates the successful implementation of the device in dual‐channel optoelectronic hybrid communication, fulfilling the performance demands of high‐speed, large ...
Zhihao Wang, Jialing Jian, Zhengjin Weng, Qianqian Wu, Jian Li, Xingyu Zhou, Wei Kong, Xiang Xu, Liangliang Lin, Xiaofeng Gu, Peng Xiao, Haiyan Nan, Shaoqing Xiao   +12 more
wiley   +1 more source

Reporting Failures in Functional Logic Programs

Electronic Notes in Theoretical Computer Science, 2007
AbstractComputing with failures is a typical programming technique in functional logic programs. However, there are also situations where a program should not fail (e.g., in a deterministic top-level computation) but the evaluation fails accidentally, e.g., due to missing pattern combinations in an operation defined by pattern matching.
openaire   +2 more sources

AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices

Advanced Science, EarlyView.
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios   +4 more
wiley   +1 more source

Coupling hydrothermal liquefaction and aqueous phase reforming for integrated production of biocrude and renewable H2

AIChE Journal, Volume 69, Issue 1, January 2023., 2023
Abstract Lignin‐rich stream from lignocellulosic ethanol production was converted into biocrude by continuous hydrothermal liquefaction (HTL) while hydrogen was produced by aqueous phase reforming (APR) of the HTL aqueous by‐product. The effects of Na2CO3 and NaOH were investigated both in terms of processability of the feedstock as well as yield and ...
Arturo Di Fraia, Edoardo Miliotti, Andrea Maria Rizzo, Giulia Zoppi, Giuseppe Pipitone, Raffaele Pirone, Luca Rosi, David Chiaramonti, Samir Bensaid   +8 more
wiley   +1 more source

The implementation of an application-driven functional architecture of a peer-to-peer distributed computing system defined by conceptual and logical models of artificial intelligence. 1. Declarative and logical approaches

Известия высших учебных заведений. Поволжский регион:Технические науки
Relevance and goals. Most network distributed computing systems (DCS) implement “client-server” and “master-slave” applications. It is relevant to create applications with an arbitrary structure consistent with the functional architecture of the DCS ...
V.I. Volchikhin, N.S. Karamysheva, M.A. Mitrokhin, S.A. Zinkin   +3 more
doaj   +1 more source