Results 61 to 70 of about 906,093 (293)
Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network
IEEE Access, 2020 In the smart mariculture, the timely and accurate predictions of water quality can help farmers take countermeasures before the ecological environment deteriorates seriously.
Juntao Liu +6 more
doaj +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
IEEE AccessCurrently, the water environment is complicated, and the water quality factors are non-linear and non-stationary, so the accuracy of traditional water quality prediction model is restricted.
Aihua Yu, Qingjie Xiao
doaj +1 more source
Prediction model of agricultural water quality based on optimized logistic regression algorithm
EURASIP Journal on Advances in Signal Processing, 2023 Aiming at the problem that the linear regression of the traditional linear water quality prediction model is not robust enough and the prediction accuracy cannot be guaranteed in the presence of interference, this paper proposes an agricultural water ...
RongLi Gai, Hao Zhang
doaj +1 more source
Molecular Oncology, EarlyView.We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto +8 more
wiley +1 more source
Multivariate NIR studies of seed-water interaction in Scots Pine Seeds (Pinus sylvestris L.) [PDF]
, 2003 This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of ...
Lestander, Torbjörn
core
A weather forecast model accuracy analysis and ECMWF enhancement proposal by neural network [PDF]
, 2019 This paper presents a neural network approach for weather forecast improvement. Predicted parameters, such as air temperature or precipitation, play a crucial role not only in the transportation sector but they also influence people's everyday activities.
Durica, Marek +5 more
core +1 more source
Molecular Oncology, EarlyView.Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice +16 more
wiley +1 more source
Frontiers in Water, 2023 Wildfires pose a risk to water supplies in the western U.S. and many other parts of the world, due to the potential for degradation of water quality. However, a lack of adequate data hinders prediction and assessment of post-wildfire impacts and recovery.
Sheila F. Murphy +16 more
doaj +1 more source
Lake water quality monitoring and prediction: natural attenuation [PDF]
, 2016 The Engineering Campus Lake in Universiti Putra Malaysia (UPM) receives urban run-off (non-point source) and treated wastewater (point source). The role of the lake as a natural attenuation plant will be assessed in this study by monitoring and ...
Ahsan, Amimul +3 more
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