Parkinson’s disease and schizophrenia interactomes contain temporally distinct gene clusters underlying comorbid mechanisms and unique disease processes by Kalyani B. Karunakaran (12478431)

“…<p dir="ltr">Genome-wide association studies suggest significant overlaps in Parkinson’s disease (PD) and schizophrenia (SZ) risks, but the underlying mechanisms remain elusive. …”

In-Hospital Outcomes and Temporal Trends of Surgical Versus Intravascular Ultrasound–Guided Endovascular Interventions for Femoropopliteal Disease by Elsayed, Basel

“…Procedures were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes, and the Cochran-Armitage test was used to assess temporal trends. …”
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Temporal patterns of cancer burden in Asia, 1990–2019: a systematic examination for the Global Burden of Disease 2019 study by Rajesh, Sharma

“…This study examines the temporal patterns of incidence, mortality, disability and risk factors of 29 cancers in Asia in the last three decades. …”
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Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis... by Marissa B Reitsma (8674341)

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... by Parkes J Kendrick (9714851)

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

“…These findings robustly validate the efficacy of employing non-stationary kernels for temporal modeling of EHR data, and emphasize the importance of modeling non-stationary temporal information in healthcare prediction tasks.…”

Long-term antibiotic resistance surveillance of gram-negative pathogens suggests that temporal trends can be used as a resistance warning system by Sorberg, Mikael

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SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…<p dir="ltr">Electrocardiogram (ECG) signals play a critical role in diagnosing cardiovascular diseases (CVDs), yet automated ECG classification remains challenging due to inter-patient variability, signal noise, and heart rhythm complexity. …”

Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis by George Nitzburg (18614989)

“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”

Preparation of Mesoporous/Microporous MnCo₂O₄ and Nanocubic MnCr₂O₄ Using a Single Step Solution Combustion Synthesis for Bifunction Oxy... by Anchu Ashok (14152020)

Lewy body-like alpha-synuclein inclusions trigger reactive microgliosis prior to nigral degeneration by Megan F. Duffy (5713772)

“…<h3>Background</h3><p dir="ltr">Converging evidence suggests a role for microglia-mediated neuroinflammation in Parkinson’s disease (PD). Animal models of PD can serve as a platform to investigate the role of neuroinflammation in degeneration in PD. …”

A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”

Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals by Farhana Ahmed Chowdhury (22564808)

“…The proposed MultiResLinkNet excelled in ABP segmentation, outperforming state-of-the-art networks in combined and individual scenarios, and produced the best average temporal and spectral correlations as well as the lowest temporal and spectral errors in nearly all scenarios’ data. …”

Stress Management Using Physiological Signals and Audio Stimulation by Katmah, Rateb Majd

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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

“…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…”

Minimizing Traffic Congestion through V2V Communication by Alqawasmeh, Suhieb

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Initial risk assessment for pulmonary hypertension in patients with COPD by Yammine, Joe

“…Diffusion capacity was lower but did not reach statistical significance (P = 0.07). In multivariate analysis, statistically significant independent variables were >3% decrease in exercise oxyhemoglobin saturation and decline in prebronchodilator FEV1 (P = 0.01 and P = 0.04, respectively). …”
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Use of Ultrasound and Ionic Liquids to Enhance the Extractive Desulfurization of Oils by Zuraiqi, Karma

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Glycemic outcomes of Advanced Hybrid Closed Loop system in children and adolescents with Type 1 Diabetes, previously treated with Multiple Daily Injections (MiniMed 780G system in... by Goran Petrovski (129836)

“…All participants followed a 10-day structured initiation protocol which included 4 steps: step 1: AHCL system assessment; step 2: AHCL system training; step 3: Sensor augmented pump therapy (SAP) for 3 days; step 4: AHCL system use for 12 weeks, successfully completing the training from MDI to AHCL in 10 days. …”