Results 61 to 70 of about 709,118 (272)

Q fever outbreak in the terraced vineyards of Lavaux, Switzerland

New Microbes and New Infections, EarlyView., 2014
Abstract Coxiella burnetii infection (Q fever) is a widespread zoonosis with low endemicity in Switzerland, therefore no mandatory public report was required. A cluster of initially ten human cases of acute Q fever infections characterized by prolonged fever, asthenia and mild hepatitis occurred in 2012 in the terraced vineyard of Lavaux ...
C. Bellini, I. Magouras, C. Chapuis‐Taillard, O. Clerc, E. Masserey, G. Peduto, O. Péter, S. Schaerrer, G. Schuepbach, G. Greub   +9 more
wiley   +1 more source

The anterior nucleus of the thalamus plays a role in the epileptic network

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2010-2024, December 2022., 2022
Abstract Objectives We investigated both the metabolic differences and interictal/ictal discharges of the anterior nucleus of the thalamus (ANT) in patients with epilepsy to clarify the relationship between the ANT and the epileptic network. Methods Nineteen patients with drug‐resistant epilepsy who underwent stereoelectroencephalography were studied ...
Hao Yan, Xueyuan Wang, Tao Yu, Duanyu Ni, Liang Qiao, Xiaohua Zhang, Cuiping Xu, Wei Shu, Yuping Wang, Liankun Ren   +9 more
wiley   +1 more source

Evolutionary Multi-Objective Membrane Algorithm

IEEE Access, 2020
Recent advances in evolutionary algorithms based on membrane computing have shown that the mechanism of membrane computing is an effective way to solve optimization problems. In this work, we propose a new evolutionary multi-objective algorithm that uses
Chuang Liu, Yingkui Du, Ao Li, Jiahao Lei   +3 more
doaj   +1 more source

A classification method for high‐dimensional imbalanced multi‐classification data

Electronics Letters, 2023
High‐dimensional imbalanced multi‐classification problems (HDIMCPs) occur frequently in engineering applications such as medical detection, item classification, and email classification.
Mengmeng Li, Qibin Zheng, Yi Liu, Gengsong Li, Wei Qin, Xiaoguang Ren   +5 more
doaj   +1 more source

Evolutionary Image Transition Based on Theoretical Insights of Random Processes [PDF]

arXiv, 2016
Evolutionary algorithms have been widely studied from a theoretical perspective. In particular, the area of runtime analysis has contributed significantly to a theoretical understanding and provided insights into the working behaviour of these algorithms. We study how these insights into evolutionary processes can be used for evolutionary art.
arxiv  

Integrative systems‐level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors

Molecular Oncology, EarlyView.
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam, Salem Chouaib, Mohammad Askandar Iqbal   +2 more
wiley   +1 more source

The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation [PDF]

arXiv, 2016
Evolutionary algorithms have been used in many ways to generate digital art. We study how evolutionary processes are used for evolutionary art and present a new approach to the transition of images. Our main idea is to define evolutionary processes for digital image transition, combining different variants of mutation and evolutionary mechanisms.
arxiv  

Deep Evolutionary Learning for Molecular Design [PDF]

arXiv, 2020
In this paper, we propose a deep evolutionary learning (DEL) process that integrates fragment-based deep generative model and multi-objective evolutionary computation for molecular design. Our approach enables (1) evolutionary operations in the latent space of the generative model, rather than the structural space, to generate novel promising molecular
arxiv  

Loss of SETD2 in wild‐type VHL clear cell renal cell carcinoma sensitizes cells to STF‐62247 and leads to DNA damage, cell cycle arrest, and cell death characteristic of pyroptosis

Molecular Oncology, EarlyView.
Vulnerability to the small molecule STF‐62247 is observed in SETD2‐inactivated VHL‐positive clear cell renal cell carcinoma (ccRCC) cells. DNA damage and loss of CDC25A leads to cell cycle arrest in S phase. Cleavage of caspase‐3 (CASP3) and gasdermin E (GSDME) suggests cell death by pyroptosis.
Mathieu Johnson, Sandra Turcotte
wiley   +1 more source

Interactive Evolutionary Computation for Analyzing Human Awareness Mechanisms

Applied Computational Intelligence and Soft Computing, 2012
We discuss the importance of establishing awareness science and show the idea of using interactive evolutionary computation (IEC) as a tool for analyzing awareness mechanism and making awareness models.
Hideyuki Takagi
doaj   +1 more source