Results 61 to 70 of about 4,826,846 (257)
Computer vision and deep transfer learning for automatic gauge reading detection
Scientific ReportsThis manuscript proposes an automatic reading detection system for an analogue gauge using a combination of deep learning, machine learning, and image processing.
Hitesh Ninama +7 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
wiley +1 more source
Pictures, Images and Deep Reading
CLELEjournal, 2015 This paper considers the support provided by multimodal children’s literature in the development of literacy. The focus is on reading in a second language and the negotiation of understanding due to information gaps in the narrative, and on reading ...
Janice Bland
doaj
Lip Reading Sentences Using Deep Learning With Only Visual Cues
IEEE Access, 2020 In this paper, a neural network-based lip reading system is proposed. The system is lexicon-free and uses purely visual cues. With only a limited number of visemes as classes to recognise, the system is designed to lip read sentences covering a wide ...
Souheil Fenghour +3 more
semanticscholar +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Application of Computer-aided Diagnosis System Based on Deep Learning in Rib Fracture Diagnosis
CT Lilun yu yingyong yanjiu, 2022 Objective: To investigate the application value of computer-aided diagnosis (CAD) system based on deep learning (DL) in rib fracture diagnosis. Methods: The CT images of 232 patients with chest trauma were analyzed retrospectively and the films were read
Shan XIONG +5 more
doaj +1 more source
Scientific Reports, 2020 In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmonary tuberculosis (PTB) screening when interpreted by human readers.
M. Nash +9 more
semanticscholar +1 more source
Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding
FEBS Letters, EarlyView.In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança +2 more
wiley +1 more source
Deep Lip Reading: a comparison of models and an online application [PDF]
Interspeech, 2018 The goal of this paper is to develop state-of-the-art models for lip reading -- visual speech recognition. We develop three architectures and compare their accuracy and training times: (i) a recurrent model using LSTMs; (ii) a fully convolutional model ...
Triantafyllos Afouras +2 more
semanticscholar +1 more source
FEBS Letters, EarlyView.Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
wiley +1 more source