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

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

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

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by 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. …”

Time series analysis of environmental quality in the state of Qatar by Ammar, Abulibdeh

“…This study investigated the impact of economic growth, electricity consumption, energy consumption, and the crop production index on environmental quality in Qatar by considering four different types of GHGs emissions (carbon dioxide, methane, nitrous oxide, and F-GHGs) and using a time-series dataset for the period of 1990–2019. This study investigated the long- and short-term impacts between these variables using ARDL bounds testing, while the stationarity properties of the variables were tested by applying the Zivot–Andrews test. …”
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Time series analysis of environmental quality in the state of Qatar by Ammar Abulibdeh (15785928)

“…<p>This study investigated the impact of economic growth, electricity consumption, energy consumption, and the crop production index on environmental quality in Qatar by considering four different types of GHGs emissions (carbon dioxide, methane, nitrous oxide, and F-GHGs) and using a time-series dataset for the period of 1990–2019. This study investigated the long- and short-term impacts between these variables using ARDL bounds testing, while the stationarity properties of the variables were tested by applying the Zivot–Andrews test. …”

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

“…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. …”

Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant by Lei Zhang (38117)

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

“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”

Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting by Aryan Bhambu (18767731)

“…However, the inherent complexity and irregular variations in volatility time series data present significant challenges for accurate modeling. …”

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Evaluating our framework on several publicly available benchmark time series datasets from various domains and with diverse characteristics, we demonstrate that it performs, on average, significantly better than the baseline forecasters for short-term and long-term forecasting, even for datasets that consist of only a few hundred training samples.…”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion by Khoury, Nathalie

“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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Recurrent ensemble random vector functional link neural network for financial time series forecasting by Aryan Bhambu (18767731)

“…However, the non-stationary and non-linear characteristics inherent in time series data pose significant challenges when accurately predicting future forecasts. …”

Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells by Shebaby, Wassim N.

“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…<p dir="ltr">Hardware Trojans (HTs) pose a significant threat to the integrity and security of integrated circuits, particularly in critical systems where stealthy hardware modifications can lead to catastrophic consequences. …”

Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

Navigating the Stock Market: The Role of State-of-the-Art Deep Learning Techniques by Anika Kanwal (18905377)

Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment by Aryan Bhambu (18767731)

“…However, the dynamic nature and significant variability in financial <u>time series</u> data pose substantial challenges to achieving these forecasts. …”

Effects of hydroxycut ingestion on the lipid profile & lipoproteine metabolism in the rat model. (c2004) by Khajag, Koulajian

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