Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”

Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy by Hamed Elgendy (14148846)

Duration of symptoms is the only predictor of testicular salvage following testicular torsion in children: A case-control study by Zlatan Zvizdic (9212371)

Prediction of Soil Loss in a Reservoir Watershed Using an Erosion Model and Modern Technological Tools: A Case Study of Marathon Lake, Attica in Greece by Pavlopoulos, Kosmas

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The significance of the papanicolaou smear diagnosis of low-grade squamous intraepithelial lesion cannot exclude high-grade squamous intraepithelial lesion by Nasser, Selim M.

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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks by Rawan AlSaad (14159019)

“…We also present a case-study of our model’s interpretability illustrating how clinicians can gain some transparency into the predictions.…”

ESDD Prediction of Outdoor Polymer Insulators by Khaled, Abdelrahman

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Predicting stability of classes in an object-oriented system by Azar, D.

“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. …”

Prediction of the Backwater Level Due to Bridge Constriction in Waterways by Assar, Kimia Haji Amou

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Role of nutritional indices in predicting outcomes of vascular surgery by Jabbour, Jana

“…We aimed to assess the combined use of recent significant weight loss (>10% body mass) and serum albumin levels as a nutritional status index to predict outcomes. …”
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Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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Transfer learning for genotype–phenotype prediction using deep learning models by Feng, Samuel

“…This manuscript illustrated that transfer learning is applicable for genotype data and genotype-phenotype prediction. Results Using HAPGEN2 and PhenotypeSimulator, we generated eight phenotypes for 500 cases/500 controls (CEU, large population) and 100 cases/100 controls (YRI, small populations). …”
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An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

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Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being by Deniz Cemiloglu (17150980)

“…Competence in using social media significantly predicted both PSMU and SM-WB in the Arab sample. …”

Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes by Abu Saleh Md Moin (6189512)

“…PPBP and THBS1 tended to increase at hypoglycemia in both cohorts, though reached significance only in controls (p < 0.05), returning to BL levels post-hypoglycemia. …”

The impact of maternal care on child development by Sayour, Nagham

“…Studying heterogeneous effects reveals a differential impact by child's age. An increase of 6.5 h per week in the time 2-year-olds spend with their mothers significantly improves their non-cognitive skills.…”
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Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger by Mariem Mhiri (17991544)

“…Focusing on the Cryogenic Heat Exchanger (CHE) as a case study, an essential component of liquefaction, the framework integrates digital twins (DT), machine learning (ML), and predictive model to enable real-time monitoring, early failure detection, and proactive mitigation. …”

The Impact of Employee Engagement on Turnover Intention and Burnout by Al Rashidi, Rahaf

“…Employee engagement has been the center of attention for a long period because of the significant positive impact that it exerts on work-related outcomes of employees. …”
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The effect of CEO ownership & CEO entrenchment on firm value. (c2011) by Hallak, Waddah

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