Using a Time Timer™ to increase appropriate waiting behavior in a child with developmental disabilities by Grey, Ian

“…This study aimed to examine the use of a predictive stimulus (Time Timer™) and delayed reinforcement to increase appropriate waiting behavior in a child with developmental disabilities and problem behavior maintained by access to tangible items and activities. …”
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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. The model was evaluated on two other datasets: Animal2 and Camera Trap, with an mAP of 92% on the Animal2 dataset and 90% on the Camera Trap dataset.…”

Soluble Neuropilin-1 Response to Hypoglycemia in Type 2 Diabetes: Increased Risk or Protection in SARS-CoV-2 Infection? by Abu Saleh Md Moin (6189512)

“…</p><h3>Conclusion</h3><p dir="ltr">Hypoglycemia potentiated both plasma sNRP1 level elevation and its ligands VEGF and SEMA3A, likely through an ADAM9-mediated mechanism that was not associated with RAS overactivity or ACEi therapy; however, whether this is protective or promotes increased risk for SARS-CoV-2 infection in T2D is unclear.…”

The emergence of new SARS-CoV-2 variant (Omicron) and increasing calls for COVID-19 vaccine boosters-The debate continues by Naushad Ahmad Khan (6406973)

“…The Delta variant was reported to have increased transmissibility, higher viral load [4] and high rates of reinfection [5]. …”

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

“…However, agricultural areas decreased from 152.13 km² (18.5%) in 1980 to 140.38 km² (17%) in 2023, while barren lands decreased from 54.44 km² (6.6%) in 1980 to 34.71 km² (4.22%) in 2023. …”

Addressing bias in the definition of SARS-CoV-2 reinfection: implications for underestimation by Hiam Chemaitelly (439114)

“…<h3>Introduction</h3><p dir="ltr">Reinfections are increasingly becoming a feature in the epidemiology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. …”

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…<p dir="ltr">Just-in-time defect prediction (JITDP) research is increasingly focused on program changes instead of complete program modules within the context of continuous integration and continuous testing paradigm. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…By leveraging a comprehensive retinal image dataset and applying advanced deep learning techniques, DiaNet v2 demonstrates a remarkable accuracy in diabetes diagnosis. …”

Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO₂ levels before, during and after the tournament over Greater Doha. …”

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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HbA1c over 8.5% is not predictive of increased infection rate following penile prosthesis implant surgery in diabetic patients with erectile dysfunction by Raidh Talib (14779198)

“…<p dir="ltr">Diabetes mellitus is associated with increased risk of erectile dysfunction. Penile prosthesis implantation is an efficient therapeutic option for erectile dysfunction, but not without risk, as infection remains a prominent concern. …”

Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

“…The exponential increase in the number of infections has rendered traditional diagnosis techniques inefficient. …”
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From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…The proposed scheme transforms multivariate time-series data into images for better encoding and extracting relevant features. …”

Increased complications of COVID-19 in people with cardiovascular disease: Role of the renin–angiotensin-aldosterone system (RAAS) dysregulation by Robin Augustine (3976964)

Minimizing Traffic Congestion through V2V Communication by Alqawasmeh, Suhieb

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Percutaneous coronary intervention can be safely performed with left ventricular thrombus without increasing stroke risk: A 5-year retrospective review using real-world data by Mohanad Shehadeh (17860691)

“…<h3>Introduction</h3><p dir="ltr">Left ventricular thrombus (LVT) increases the risk of ischemic stroke. However, it remains uncertain if the percutaneous coronary intervention (PCI) in the confirmed LVT setting further augments the stroke risk. …”

Assessment of strategic management practice in private nonprofit hospitals in Greater Beirut. (c1996) by Baltagi, Dima Abdallah

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Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy by Hanna, Rita

“…Moreover, we noted an early and specific upregulation of cardiac PDE1A, PDE2A, PDE4B, PDE4D and PDE5A expression at week 4, followed by increases in PDE3A levels in diabetic hearts at week 8. …”
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Increasing efficiency of Atriums in Hot Arid Zones by Vethanayagam, Vijayantha

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Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition by Albadawi, Yaman

“…This research presents a novel sensor-based human activity recognition system that utilizes a unique feature extraction technique associated with a deep learning method for classification. One of the main contributions of this work is dividing the sensor sequences time-wise into non-overlapping 2D segments. …”
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