Geographic variation in walking activity in the red flour beetle Tribolium castaneum
This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley +1 more source
Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?
Background: Preterm birth is a clinical event significant but difficult to predict. Biomarkers such as fetal fibronectin and cervical length are effective, but the often are used only for women with clinically suspected preterm risk.
Wei Luo+4 more
doaj +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
Learning Point-Guided Localization for Detection in Remote Sensing Images
Object detection in remote sensing images is challenging due to the dense distribution and arbitrary angle of the objects. It is a consensus that the oriented bounding box (OBB) is more suitable to represent the aerial objects.
Qing Song+5 more
doaj +1 more source
Digit Recognition Using Convolution Neural Network [PDF]
In pattern recognition, digit recognition has always been a very challenging task. This paper aims to extracting a correct feature so that it can achieve better accuracy for recognition of digits. The applications of digit recognition such as in password, bank check process, etc. to recognize the valid user identification.
arxiv
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition [PDF]
Effective building pattern recognition is critical for understanding urban form, automating map generalization, and visualizing 3D city models. Most existing studies use object-independent methods based on visual perception rules and proximity graph models to extract patterns.
arxiv
Proof-Pattern Recognition and Lemma Discovery in ACL2
We present a novel technique for combining statistical machine learning for proof-pattern recognition with symbolic methods for lemma discovery. The resulting tool, ACL2(ml), gathers proof statistics and uses statistical pattern-recognition to pre ...
B. Buchberger+11 more
core +1 more source
The dual nature of TDC – bridging dendritic and T cells in immunity
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
2D electrophoresis image brightness correction based on gradient interval histogram
Background Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images.
Qiaofeng Ou+4 more
doaj +1 more source
Massively parallel pattern recognition with link failures [PDF]
The capabilities of reliable computations in linear cellular arrays with communication failures are investigated in terms of pattern recognition. The defective processing elements (cells) that cause the misoperations are assumed to behave as follows ...
Kutrib, Martin, Löwe, Jan-Thomas
core +1 more source