Results 71 to 80 of about 4,627,276 (412)
Population Ecology, EarlyView.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
Evaluating the origin and spread of spotted lanternfly (Lycorma delicatula) in Japan
Population Ecology, EarlyView.The invasive spotted lanternfly (Lycorma delicatula) is native to China and is a serious economic pest in the Republic of Korea and the United States, though it is not considered a pest in Japan. We established a distribution map of L. delicatula in Japan through a comprehensive review of published literature and citizen science reports and analyzed ...
Matthew T. Kamiyama +5 more
wiley +1 more source
Population Ecology, EarlyView.In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna and generated genotyping data. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half‐sibling pairs, considerable number of false‐positive
Yohei Tsukahara +5 more
wiley +1 more source
Dendritic cells steering antigen and leukocyte traffic in lymph nodes
FEBS Letters, EarlyView.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
Video Feature Extraction Based on Modified LLE Using Adaptive Nearest Neighbor Approach [PDF]
, 2015 Locally linear embedding (LLE) is an unsupervised learning algorithm which computes the low dimensional, neighborhood preserving embeddings of high dimensional data. LLE attempts to discover non-linear structure in high dimensional data by exploiting the
Bohra, P. (Preksha), Joshi, S. (Sunil)
core
DKT-STDRL: Spatial and Temporal Representation Learning Enhanced Deep Knowledge Tracing for Learning Performance Prediction [PDF]
arXiv, 2023 Knowledge tracing (KT) serves as a primary part of intelligent education systems. Most current KTs either rely on expert judgments or only exploit a single network structure, which affects the full expression of learning features. To adequately mine features of students' learning process, Deep Knowledge Tracing Based on Spatial and Temporal Deep ...
arxiv
The dual nature of TDC – bridging dendritic and T cells in immunity
FEBS Letters, EarlyView.TDC are hematopoietic cells combining dendritic and T cell features. They reach secondary lymphoid organs (SLOs) and peripheral organs (liver and lungs) after FLT3‐dependent development in the bone marrow and maturation in the thymus. TDC are activated and enriched in SLOs upon viral infection, suggesting that they might play unique immune roles, since
Maria Nelli, Mirela Kuka
wiley +1 more source
Classification of Sambas Traditional Fabric “Kain Lunggi” Using Texture Feature
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 Traditional fabric is a cultural heritage that has to be preserved. Kain Lunggi is Sambas traditional fabric that saw a decline in its crafter. To introduce Kain Lunggi in a broader national and global society in order to preserve it, a digital image ...
Alda Cendekia Siregar +1 more
doaj +1 more source
Randomized Dimensionality Reduction for k-means Clustering [PDF]
, 2013 We study the topic of dimensionality reduction for $k$-means clustering. Dimensionality reduction encompasses the union of two approaches: \emph{feature selection} and \emph{feature extraction}.
Boutsidis, Christos +3 more
core
Review on Graph Feature Learning and Feature Extraction Techniques for Link Prediction
, 2020 The problem of link prediction has recently attracted considerable attention by research community. Given a graph, which is an abstraction of the relationships among entities, the task of link prediction is to anticipate future connections among entities
Garibay, Ivan +3 more
core +1 more source