A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity حسب Wesam S. Ahmed (10170053)

"…However, questions related to its mechanism of interaction with the substrate, furimazine, as well as bioluminescence activity remain elusive. Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …"

Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy حسب Hamed Elgendy (14148846)

Both decreasing interstructural space size and increasing total cover increase shrimp abundance on artificial structures deployed in a UAE seagrass bed حسب Bartholomew, Aaron

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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex حسب Wesam S. Ahmed (10170053)

"…</p><p dir="ltr">Corrigendum: Decreased interfacial dynamics caused by the N501Y mutation in the SARS-CoV-2 S1 spike:ACE2 complex: Frontiers in Molecular Biosciences: <a href="https://dx.doi.org/10.3389/fmolb.2022.1018464" rel="noreferrer" target="_blank">https://dx.doi.org/10.3389/fmolb.2022.1018464</a>, published online 19 October 2022.…"

L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression حسب Rached, Johnny

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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells حسب Nihal AlMuraikhi (6002234)

"…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …"

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... حسب Wesal Habbab (17346961)

"…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …"

Serum Vitamin D Concentration ≥75 nmol/L Is Related to Decreased Cardiometabolic and Inflammatory Biomarkers, Metabolic Syndrome, and Diabetes; and Increased Cardiorespiratory Fitn... حسب Vijay Ganji (8710491)

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application حسب Abdus Salam (1918387)

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment حسب Poonam Dhiman (12889038)

"…This research presents a precise fruit disease identification model based on context data fusion with Faster-CNN in an edge computing environment. …"

Addition of sphingosine-1-phosphate to human oocyte culture medium decreases embryo fragmentation حسب Zreik, Tony

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Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture حسب Hasibul Islam Peyal (17983828)

"…The purpose of this work is to categorize 14 classes for both cotton and tomato crops, with 12 diseased classes and two healthy classes using a deep learning-based lightweight 2D CNN architecture and to implement the model in an android application named “Plant Disease Classifier” for smartphone-assisted plant disease diagnosis system, the results of the experiments reveal that the proposed model outperforms the pre-trained models VGG16, VGG19 and InceptionV3 despite having fewer parameters. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…Notably, this Convolutional Neural Network (CNN) operates autonomously, requiring no human intervention, and can be applied with substantially smaller datasets than traditional CNNs. …"
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Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant حسب Lei Zhang (38117)

Performance evaluation of 3D-printed PLA composites doped with WE43 magnesium alloy for bone tissue engineering applications حسب Sumama Nuthana Kalva (17302906)

"…Adding WE43 alloy to PLA decreased the average pore sizes of the composites. …"

Indomethacin as a Rescue Therapy for Patent Ductus Arteriosus in Extremely Premature Infants after Failed Ibuprofen Treatment حسب Amal Sabouni (17046236)

"…In our practice, we administer one or two courses of ibuprofen followed by a single course of indomethacin if the PDA has not shown closure or decrease in size on the echocardiogram (echo) exam. …"

Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion حسب Khoury, Nathalie

"…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…"
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InCR: Inception and concatenation residual block-based deep learning network for damaged building detection using remote sensing images حسب Burak Tasci (17032302)

"…Then, we developed a unique convolutional neural network (CNN) called the inception and concatenation residual (InCR) deep learning network, which incorporates concatenation-based residual blocks and inception blocks to improve performance.…"

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals حسب Farhana Ahmed Chowdhury (22564808)

"…We introduce MultiResLinkNet, a segmentation model based on a one-dimensional convolutional neural network (1D CNN), specifically designed to synthesize arterial blood pressure (ABP) directly from raw radar waveforms. …"

A comparative analysis to forecast carbon dioxide emissions حسب Md. Omer Faruque (17545671)

"…This leads to the second step, which involves formulating the multivariate time series CO₂ emissions forecasting challenges considering its influential factors. Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …"