Results 111 to 120 of about 14,485,412 (367)
Context-aware Human Intent Inference for Improving Human Machine Cooperation [PDF]
arXiv, 2018 The ability of human beings to precisely recog- nize others intents is a significant mental activity in reasoning about actions, such as, what other people are doing and what they will do next. Recent research has revealed that human intents could be inferred by measuring human cognitive activities through heterogeneous body and brain sensors (e.g ...
arxiv
Molecular Oncology, EarlyView.Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad +13 more
wiley +1 more source
Detector-in-Detector: Multi-Level Analysis for Human-Parts [PDF]
arXiv, 2019 Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional neural network (CNN). In this paper, we take the inherent correlation between the body and body parts into account and propose a new framework to boost up the detection performance of the multi-level objects.
arxiv
Whole-Body Human Pose Estimation in the Wild [PDF]
arXiv, 2020 This paper investigates the task of 2D human whole-body pose estimation, which aims to localize dense landmarks on the entire human body including face, hands, body, and feet. As existing datasets do not have whole-body annotations, previous methods have to assemble different deep models trained independently on different datasets of the human face ...
arxiv
Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network [PDF]
, 2019 Human bodies exhibit various shapes for different identities or poses, but the body shape has certain similarities in structure and thus can be embedded in a low-dimensional space. This paper presents an autoencoder-like network architecture to learn disentangled shape and pose embedding specifically for the 3D human body.
arxiv +1 more source
OXYURIS VERMICULARIS IN THE HUMAN BODY. [PDF]
The Lancetn ...
Brinton, William, Beale, LionelS
openaire +5 more sources
Aging human body: changes in bone, muscle and body fat with consequent changes in nutrient intake.
Journal of Endocrinology, 2017 Aging affects almost all physiological processes, but changes in body composition and body phenotype are most observable. In this review, we focus on these changes, including loss of bone and muscle and increase in body fat or redistribution of the ...
Pegah Jafarinasabian +4 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Host genetic variation impacts microbiome composition across human body sites
Genome Biology, 2015 BackgroundThe composition of bacteria in and on the human body varies widely across human individuals, and has been associated with multiple health conditions.
R. Blekhman +10 more
semanticscholar +1 more source
Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer
Molecular Oncology, EarlyView.This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu +7 more
wiley +1 more source