Genome-Based Characterization of Bacterial Pathogens Causing Bloodstream Infection by Boujanian, Carni

“…Bloodstream infections (BSIs) caused by multi-drug resistant (MDR) bacterial pathogens are considered among the risk factors that pose a severe threat to public health, leading to increased morbidity and mortality. …”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”

Feeder protection challenges with high penetration of inverter based distributed generation by Margossian, Haraj

“…The increasing proportion of inverter based distributed generation (DG) in the power system may limit the short circuit power available at distribution substations and consequently cause significant troubles for the protection of distribution feeders where DG are connected. …”
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Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads by Yazdavar, Ameen H.

“…The proposed microgrid planning approach simultaneously determines the sizes, locations and types of distributed generators (DGs) and shunt capacitor banks (CBs). The presence of nonlinear loads along with the capacitors of CBs or DGs' output filters may cause severe voltage distortions. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”

Optimum sizing of steam turbines for concentrated solar power plants by Poullikkas, Andreas

“…For capacity sizes of 10kWe up to 50MWe, the steam turbine efficiency increases and the steam turbine expected specific capital cost of the power block decreases at a high rate, whereas for larger sizes they remain almost constant. …”
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Parallel multi-voltage power minimization in VLSI circuits. (c2013) by Younes, Rabih Halim

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Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking by Ahmet Faruk Aysan (11902115)

TCAD Simulation and Analysis of Selective Buried Oxide MOSFET Dynamic Power by Mahmoud, Rana

“…Increasing power dissipation may lead to decreasing system effciency and lifetime. …”
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Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”

Preterm birth in low-middle income Countries by Alim, Swarray-Deen

“…Preterm birth (PTB), remains a major cause of significant morbidity and mortality world-wide with about 12–15million preterm births occurring every year. …”
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Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…After accounting for the role of coal as a baseload power source, an increase in the share of renewable energy is estimated to mitigate N2O emissions at the U.S. state level only if states individually decrease their share of coal use to levels below 41.47%. …”
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Optimization of Electric Vehicles Wireless Charging by Gesrou, Abdalla

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Defense against adversarial attacks: robust and efficient compressed optimized neural networks by Insaf Kraidia (19198012)

“…This study compresses the generative pre-trained transformer (GPT) by 65%, saving time and memory without causing performance loss. …”

Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

“…Periodic based automatic cleaning showed decreases in improvement of between 164.64% to 245.34%. …”
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…<p dir="ltr">Transient stability assessment (TSA) is critical to the reliable operation of a power system against severe fault conditions. In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Thermo-economic analysis of a novel P2X polygeneration system for hydrogen, ammonia, and methanol production with near-zero emissions by Laveet Kumar (11460088)

“…The system's levelized cost of hydrogen (LCOH) decreases significantly from $1.70/kg to $0.80/kg, and the levelized cost of electricity (LCOE) decreases from 4.30 ¢/kWh to 3.30 ¢/kWh. …”

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

“…In this study, we employ a classification strategy to explore stress and its impact on spatial activation patterns and brain connectivity caused by the Stroop color–word task (SCWT). To improve our results and increase our dataset, we use data augmentation with a deep convolutional generative adversarial network (DCGAN). …”
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”