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

“…However, in practice, a patient’s visits are irregularly spaced over a relatively long period of time, and disease progression patterns exhibit non-stationarity. …”

Effect of sulfonated poly (ether ether ketone) on the sensitivity of polyvinylidene fluoride-based resistive humidity sensors by Shoaib Mallick (14578565)

“…As the concentration of SPEEK increases in the blend film, the hydrophilicity of the composite film also increases, which enhances the sensitivity of the sensing film. …”

Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)

“…Electric Digital Twin grid can perform online analysis of the grid in real-time and integrates all the past and present data and express the current grid status to the producers and consumers and also predicts the future grid status. …”

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

“…., its generation, propagation and mitigation, in order to increase operational efficiency and improve livability within smart cities. …”

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic anal... by Haidong Wang (47381)

“…We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. …”

Blockchain-Based Local Energy Market Enabling P2P Trading: An Australian Collated Case Study on Energy Users, Retailers and Utilities by Liaqat Ali (641438)

“…Moreover, the margins of both energy retailers and distribution utilities are kept unchanged or increased to some extent by the proposed trading model to incorporate them in the LEM framework effectively. …”

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …”

Cognitive Load Estimation Using a Hybrid Cluster-Based Unsupervised Machine Learning Technique by Iqbal Hassan (22155274)

“…<p dir="ltr">The increasing prevalence of non-invasive, portable Electroencephalography (EEG) sensors for neuro-physiological measurements has propelled EEG-based assessments of cognitive load (CL) into the spotlight. …”

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations by Mohamed Massaoudi (16888710)

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

“…For a large-sized data set, KPCA’s execution time and occupied storage space will increase drastically and the monitoring performance can also be affected in this case. …”

Is board compensation excessive? by Dah, Mustafa A.

“…For companies that overpay, the average excess compensation is greater than $60,000 per director, while directors that are underpaid receive about $33,000 less than predicted. …”
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The impact of maternal care on child development by Sayour, Nagham

“…Results show that treated children enjoy an increase of 3.6 h per week in the time they spend with their mothers, mainly due to a decrease in the time spent in non-institutional care. …”
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Targeting arginine auxotrophy in pancreatic cancer cells using human recombinant arginase I-induced arginine deprivation. (c2017) by Khalil, Nathalie

“…It is also important to mention that we noticed an increase in the percent of surviving cells among completely auxotrophic cell lines postaddition of citrulline at 72, 96 and 120 hours of drug incubation. …”
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Minimizing Traffic Congestion through V2V Communication by Alqawasmeh, Suhieb

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"Development of Authentic Annual and Seasonal Lightning Thunderstorms Day Maps for Saudi Arabia" by Shwehdi, M. H.

“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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"Thunderstorm distribution and frequency in Saudi Arabia" by Shwehdi, M. H.

“…Annual thunderstorms are most frequent over the southwestern parts of the country, and generally decrease towards the west and east. Due to its low latitude and less temporal change, the west coast of the Red Sea recorded the lowest Td/yr. …”
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Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)

“…<p dir="ltr">Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. …”

The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

“…A distance gradient analysis indicates that as distance from the nearest toxic source increases, the mean percentage of blacks in the community decreases and the mean percentage of whites increases. …”
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Dual Targeting of Matrix Metalloproteases and the MAPK Pathway in Acute Myeloid Leukemia Cells Using an MMP-activated anthrax lethal toxin (PrAgL1/LF) by Al Saneh, Ahmad

“…Inhibition of the MAPK pathway through PrAgL1/LF led to sustained activation of autophagy, starting at 24 hours and lasting up to 120 hours following treatment with PrAgL1/LF in the AML cell lines. Addition of CQ led to an increase in cell cytotoxicity following treatment with PrAgL1/LF, at all time points, indicating that the inhibition of the MAPK pathway in AML cells leads to the activation of autophagy, which in turn mediates cell death following treatment with PrAgL1/LF. …”
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Malva pseudolavatera Leaf Extract Promotes ROS Induction Leading to Apoptosis in Acute Myeloid Leukemia Cells in Vitro by El Khoury, Marianne

“…Treatment of AML cell lines with M. pseudolavatera methanolic leaf extract showed a dose- and time-dependent inhibition of proliferation and a dose-dependent increase in apoptotic hallmarks such as an increase in phosphatidylserine on the outer membrane leaflet and membrane leakage in addition to DNA fragmentation. …”
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