Results 11 to 20 of about 9,204,231 (269)
A comprehensive overview of genomic imprinting in breast and its deregulation in cancer
Nature Communications, 2018 In growth and development genomic imprinting is important in regulating gene expression. Here, the authors study loss of imprinting (LOI) in cancer, developing a mixture model to detect monoallelically expressed loci without genotyping data - applying ...
Tine Goovaerts +6 more
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npj Clean Water, 2023 Monitoring access to safely managed drinking water services requires information on water quality. An increasing number of countries have integrated water quality testing in household surveys however it is not anticipated that such tests will be included
Alemayehu A. Ambel +5 more
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Stability analysis of the coexistence equilibrium of a balanced metapopulation model
Scientific Reports, 2021 We analyze the stability of a unique coexistence equilibrium point of a system of ordinary differential equations (ODE system) modelling the dynamics of a metapopulation, more specifically, a set of local populations inhabiting discrete habitat patches ...
Shodhan Rao +2 more
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Monitoring water quality using control charts at PDAM Surya Sembada Surabaya
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang, 2023 Statistical quality control using control charts is an easy-to-implement method to improve quality. Improvements in the quality of products and services are continuously implemented to meet consumer needs.
Valeriana Lukitosari +4 more
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Deep learning for sustainable agriculture needs ecology and human involvement
Journal of Sustainable Agriculture and Environment, 2023 Deep learning is an emerging data analytic tool that can improve predictability, efficiency and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how deep learning methods have been applied in the context of sustainable
Masahiro Ryo +6 more
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ISPRS International Journal of Geo-Information, 2022 In recent years, significant progress has been obtained in object detection using Convolutional Neural Networks (CNNs). However, owing to the particularity of Remote Sensing Images (RSIs), common object detection methods are not well suited for RSIs ...
Liming Zhou +5 more
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Using machine learning to speed up new and upgrade detector studies: a calorimeter case [PDF]
EPJ Web of Conferences, 2020 In this paper, we discuss the way advanced machine learning techniques allow physicists to perform in-depth studies of the realistic operating modes of the detectors during the stage of their design.
Ratnikov Fedor +5 more
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Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing [PDF]
PeerJ, 2013 Exosomes are nanosized (30–100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein coding RNAs. A number of cancer cells produce elevated levels of exosomes.
Piroon Jenjaroenpun +5 more
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Remote Sensing, 2023 Object detection in remote sensing images (RSIs) has become crucial in recent years. However, researchers often prioritize detecting small objects, neglecting medium- to large-sized ones.
Liming Zhou +5 more
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BMC Genomics, 2017 Background High-grade serous ovarian carcinoma (HG-SOC) is the dominant tumor histologic type in epithelial ovarian cancers, exhibiting highly aberrant microRNA expression profiles and diverse pathways that collectively determine the disease ...
Vladimir A. Kuznetsov +2 more
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