apoA2 correlates to gestational age with decreased apolipoproteins A2, C1, C3 and E in gestational diabetes by Manjunath Ramanjaneya (14603468)

“…</p><h3>Conclusions</h3><p dir="ltr">Apoproteins apoA2, apoC1, apoC3 and apoE are decreased in women with GDM and may have a role in inflammation, as apoA2 and C3 correlated with CRP. …”

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution by Kashif Bilal (16896357)

“…Educational institutes have been shutdown sporadically across the globe forcing teachers and students to adopt distance learning techniques. Due to the closure of educational institutes, work and learn from home methods have burdened the network resources and considerably decreased a viewer’s Quality of Experience (QoE). …”

Fourier-Transform Infrared Imaging Spectroscopy and Laser Ablation -ICPMS New Vistas for Biochemical Analyses of Ischemic Stroke in Rat Brain by Mohamed H. M. Ali (5768066)

“…Areas close to the stroke focus experienced decrease in the lipid and lipid acyl contents associated with an increase in lipid ester, olefin, and methyl bio-contents with a novel finding of Aβ1-42 in the PL-GM and L-WM. …”

Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle by Jinit Masania (7164239)

“…This may be achieved by decreasing protein glycation by the reactive metabolite, methylglyoxal (MG). …”

Decreased methylglyoxal-mediated protein glycation in the healthy aging mouse model of ectopic expression of UCP1 in skeletal muscle by Jinit, Masania

“…This may be achieved by decreasing protein glycation by the reactive metabolite, methylglyoxal (MG). …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. …”

eIF4A inhibition prevents the onset of cytokine-induced muscle wasting by blocking the STAT3 and iNOS pathways by Zvi Cramer (10742876)

“…These effects are likely dependent on the inhibition of eIF4A activity since we observed similar results using PatA. …”

Machine learning in crime prediction by Karabo Jenga (17788496)

“…With the help of machine learning, many researchers have studied predicting crimes extensively. …”

Impact of trace noble metals on the catalytic performance of LaNiMgO towards methane dry reforming by Mohamed, Assem T.

“…On the other hand, at the same time-on-stream LaNiMgO-Rh lost 0.3 and 0.7 % of its maximum CO2 and CH4 conversions, respectively.In durability measurements, and after 140h LaNiMgO-Rh exhibited slight decay in the CO2 conversion from 77.6 % to 70.5%, the CH4 conversion decreased from 72.3% to 64.2%. …”
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Impact of trace noble metals on the catalytic performance of LaNiMgO towards methane dry reforming by Yahia H. Ahmad (14340210)

“…In durability measurements, and after 140h LaNiMgO-Rh exhibited slight decay in the CO₂ conversion from 77.6 % to 70.5%, the CH₄ conversion decreased from 72.3% to 64.2%. …”

Genome-Wide Association Study of Vitamin D Deficiency in the Middle East With a Relevant Characterization of the Novel <i>SDR42E1 </i>Gene by Nagham Nafiz Ahmad Hendi (19938204)

“…Cellular viability also decreased significantly after the knockout of SDR42E1 in the HCT116 cells.…”

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

“…Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. …”

A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate by Geethakumari, Anupriya M

“…We envisage that the NB2E3 nanobody-2× Mpro biosensor engineered here will be useful in drug discovery and functional characterization of Mpro mutants in newly emerging SARS-CoV-2 variants as well as in detecting SARS-CoV-2 infection in a point-of-care testing (POCT) format.…”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling by Mohamad Faysal Baalbaki (21547373)

“…Addressing this gap, this thesis aims to integrate machine learning models with production data to model permeability for the whole reservoir. …”

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization by Muhammad Salman Khan (7202543)

“…In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …”

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Thus, the data representation learning is the core stage of intelligent FDD techniques. …”

Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…In this paper, different machine learning (ML) approaches are compared for the coordination of EVs charging. …”

Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)