Results 61 to 70 of about 8,794,560 (381)
In this article, we tested optimal SNP filtering strategies for accurate parentage assignment and pedigree reconstruction for a wild population of red‐spotted masu salmon, Oncorhynchus masou ishikawae. We found that mid‐point filtering in terms of call rate and minor allele frequency performs well for pedigree reconstruction.
Shohei Noda+6 more
wiley +1 more source
Constraining continuous topology optimizations to discrete solutions for photonic applications [PDF]
Photonic topology optimization is a technique used to find the electric permittivity distribution of a device that optimizes an electromagnetic figure-of-merit. Two common techniques are used: continuous density-based optimizations that optimize a grey-scale permittivity defined over a grid, and discrete level-set optimizations that optimize the shape ...
arxiv
Novel Artificial Human Optimization Field Algorithms - The Beginning
New Artificial Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization Algorithms.
Gajawada, Satish, Mustafa, Hassan
core +1 more source
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
Dendritic cells are key players in the activation of T cells and their commitment to effector function. In this In a Nutshell Review, we will discuss how dendritic cells guide the trafficking of antigen and leukocytes in the lymph node, thus influencing T‐cell activation processes. Dendritic cells (DCs) play a central role in initiating and shaping the
Enrico Dotta+3 more
wiley +1 more source
Objectives To identify determinants of continuous glucose monitoring (CGM) implementation from primary care providers’ (PCPs’) perspectives and examine the associations of these determinants with both PCP intent to discuss CGM with eligible patients and ...
Varsha G. Vimalananda+8 more
doaj +1 more source
Quality and Computation Time in Optimization Problems [PDF]
Optimization problems are crucial in artificial intelligence. Optimization algorithms are generally used to adjust the performance of artificial intelligence models to minimize the error of mapping inputs to outputs. Current evaluation methods on optimization algorithms generally consider the performance in terms of quality.
arxiv
불확실한 독립운전 상황을 고려한 마이크로그리드 운영계획 최적화 [PDF]
학위논문 (석사)-- 서울대학교 대학원 : 공과대학 산업공학과, 2019. 2. 이경식.본 논문은 마이크로그리드 운영자 관점에서 불확실한 독립운전 상황에 대비한 운영계획 최적화 문제를 다룬다. 마이크로그리드는 전력 수요의 상당 부분을 상위 송전계통에 의존하기 때문에, 송전계통과의 연결이 중단되는 독립운전에 적절히 대처하지 못하였을 경우 경제적으로 상당한 손실이 발생할 수 있다.
이종헌
core
SamACO: variable sampling ant colony optimization algorithm for continuous optimization [PDF]
An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism ...
Chung, H.S.+4 more
core +2 more sources
In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali+3 more
wiley +1 more source
Detecting and generating overlapping nested communities
Nestedness has been observed in a variety of networks but has been primarily viewed in the context of bipartite networks. Numerous metrics quantify nestedness and some clustering methods identify fully nested parts of graphs, but all with similar ...
Imre Gera, András London
doaj +1 more source