Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad Hadi Ahmad (17632248)

“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”

Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…The ordinal logistic regression analysis showed that the numbers of unhealthy dietary behaviors adopted by participants, and adverse changes in exercise, setting/reclining and screen times were significantly associated with weight gain. …”

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. …”

Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

“…The content of the posts has a significant impact on attracting users and total user’s engagement. …”
Get full text

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability by Iffa Afsa C M (22304104)

“…While neural networks have been proposed to extract multiscale features from raw data in various applications, to our knowledge, no work has utilized multiscale feature extraction, specifically for diagnostic CA prediction. …”

Measuring Sustainability in Design for Hospitality by Zimmer, Teresa Marie

Get full text

Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach by Ahmad Abujaber (9100064)

“…<h3>Background</h3><p dir="ltr">The use of machine learning techniques to predict diseases outcomes has grown significantly in the last decade. …”

Can plasma vitamin C predict survival in stage IV colorectal cancer patients? Results of a prospective cohort study by Temraz, Sally

Get full text
Get full text
Get full text
Get full text

Identification of a Gene Panel Predictive of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy Employing Transcriptomic and Functional Validation by Radhakrishnan Vishnubalaji (3563306)

“…Orthogonal partial least squares-discriminant analysis (OPLS-DA) and receiver operating characteristic curve (ROC) analyses revealed significant predictive power for the identified gene panels with an area under the curve (AUC) of 0.75 for the validation cohort (n = 50) to discriminate RD from pCR. …”

Neoadjuvant Chemotherapy Alters Neuropilin-1, PlGF, and SNAI1 Expression Levels and Predicts Breast Cancer Patients Response by Noura Al-Zeheimi (5177066)

“…From a panel of tested proteins and genes, we found that the levels of plasma NRP-1, placenta growth factor (PlGF) and immune cell expression of the transcription factor <i>SNAI1</i> before and after NAC were significantly different. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. Methods Design: Retrospective case-control. …”
Get full text
Get full text
Get full text
Get full text

From protests to polls: A study on voting intentions in Lebanon by Charles Harb (6709490)

Constrained investments and opportunity cost – evidence from Islamic funds by Dah, Mustafa

Get full text
Get full text
Get full text
Get full text

Metabolomic Profiling of Pregnancies With Polycystic Ovary Syndrome Identifies a Unique Metabolic Signature and Potential Predictive Biomarkers of Low Birth Weight by Ilhame Diboun (3522413)

The Immunophenotyping Changes of Peripheral CD4+ T Lymphocytes and Inflammatory Markers of Class III Obesity Subjects After Laparoscopic Gastric Sleeve Surgery – A Follow-Up Study... by Nasser M Rizk (18810328)

“…</p><h3>Results </h3><p dir="ltr">The means (SD) of age and BMI of class III obesity subjects was 32.32 (8.36) years and 49.02 (6.28) kg/m², respectively. LGS caused a significant reduction in BMI by 32%, p< 0.0001. LGS intervention significantly decreased CD4+ T-lymphocytes and effector memory (TEM) cells but increased T-regulatory (Treg), naïve, and central memory (TCM) cells, with all p values < 0.05. …”

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

Get full text

Prediction of CO₂ uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence by Mohd Azfar Shaida (19756971)

“…<p dir="ltr">This study introduces comprehensive research on the prediction of the carbon dioxide (CO₂) uptake from the biomass-waste derived-porous carbons (BWDPCs), by using scientometrics and model agnostic multi-layered explainable artificial intelligence (XAI) techniques. …”

Validation of the emergency surgery score’s predictive accuracy for postoperative outcomes and ICU admissions in MENA vs. non-MENA emergency surgery patients by Mohamed Said Ghali (16810713)

“…</p><h3>Conclusion</h3><p dir="ltr">The ESS is a superior tool compared to ASA for predicting postoperative outcomes in emergency surgical patients, and it is applicable to diverse populations, including those from the MENA region. …”

The Importance of Acetonitrile in the Pharmaceutical Industry and Opportunities for its Recovery from Waste by McConvey, Ian F.

“…However, the volatility in acetonitrile supply in recent years, coupled with its relatively poor environmental profile, has presented significant challenges to its use in manufacturing processes and laboratories. …”
Get full text

Magnesium recovery from desalination reject brine as pretreatment for membraneless electrolysis by Nafis Mahmud (14150004)

“…Motivated by this system, the first part of this study focuses on the optimization of magnesium recovery from desalination brine by adding NaOH using response surface methodology. …”