Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…However, its reliability is impacted by challenges such as false positives, false negatives, and environmental variability, particularly in low base rate damage scenarios. …”

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. …”

Automatic detection of data manipulation in power systems by Al Halabi, Leen

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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.…”

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

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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…However, high dimensional data present a significant challenge for machine learning techniques. …”

Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system by Sampath Rajapaksha (17541411)

“…However, vanilla AE models often suffer from overgeneralization, reconstructing anomalies without significant errors, resulting in many false negatives. …”

Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Qatar’s immigrants at higher risk of diabetes by Nature Research (16552612)

“…The researchers stress, however, that their preliminary results should be confirmed in future studies involving larger numbers of participants. 1 “We would advise the Qatari government to screen all immigrants entering the country, as this would decrease the risk of unnecessary complications due to the late diagnosis of diabetes,” says lead author Dennis Mook-Nakamori. …”

β-2-himachalen-6-ol protects against skin cancer development in vitro and in vivo by Daaboul, Hamid E.

“…Also, there was a significant decrease in p-Erk and p-Akt protein levels. …”
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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…We hypothesize that recent chemotherapy treatment could result in false-negative PET results. Design Case-control study evaluating PET findings. …”
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Effect of temperature on the rheological properties of neat aqueous Wyoming sodium bentonite dispersions by Vryzas, Zisis

“…The Bingham yield stress, from the low shear rate data, increased linearly with temperature, while the plastic viscosity decreased with temperature, in a manner very similar to the decrease of water viscosity with temperature. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…After controlling for other sources of emissions, U.S. states that produce a larger share of renewable energy are found to have lower GHG emissions. …”
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Minimizing Traffic Congestion through V2V Communication by Alqawasmeh, Suhieb

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Self-reported awareness and attitude of cancer patients towards clinical nurse coordinators by Deeb, Ahmad

“…Results: The overall percentage mean scores ± standard deviation of knowledge was 59 ± 17, perception towards clinical nurse coordinators (79 ± 14) and attitude towards seeking their services (69 ± 16). Linear regression showed that participants on chemotherapy had significantly better perception (higher scores) compared to participants on concurrent therapies (β = -3.91, p = .049). …”
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Analysis of facial emotion expression in eating occasions using deep learning by Elif Yildirim (17725965)

“…We propose a facial expression-based prediction model to eliminate user bias in questionnaire-based assessment systems and to minimize false entries to the system. …”

Total hip arthroplasty: Evolution of the use of dual mobility cups in Lebanon by Assi, Chahine

“…Recurrent dislocation, being a major reason for revision total hip arthroplasty (THA), was found to decrease significantly using dual mobility cup (DMC) compared to standard cups (SC), and that in both primary and revision THA. …”
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