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 significance of ferrous ion oxidation during corrosion of carbon steel in aerated near-neutral aqueous solutions by Ke Wang (82395)

“…<p dir="ltr">Numerical models were developed to investigate the significance of ferrous ion oxidation in carbon steel corrosion in near-neutral aerated aqueous solutions. …”

The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention by Pinnington, Ashly

“…Purpose– The purpose of this study is to address the mixed predictions about the relationship between general skills training and turnover intention of early career graduates by examining the mediating mechanisms of perceived organizational support (POS) and job satisfaction (JS) through which this relationship might be enacted. …”
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Growth hormone treatment modulates active ghrelin levels in rats by Haddad, Haytham

“…Genotropin treatment caused a dose dependent decrease in active ghrelin concentration in stomach, kidney and pancreas with a concomitant increase in plasma, and reaching significance at 20 and 100 µg/rat/day doses. …”
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Tumor size predicts vascular invasion and histologic grade by Abdalla, Eddie

“…Vascular invasion and high histologic grade predict poor outcome after surgical resection or liver transplantation for hepatocellular carcinoma (HCC). …”
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Prediction of the Backwater Level Due to Bridge Constriction in Waterways by Assar, Kimia Haji Amou

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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

“…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. …”
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On the Relationship Between Macroeconomic Factors and S&PBSEAuto Index: An ARDL Approach by Alexander, Rhoda

“…This study aims to explore the relationship between selected macroeco nomic variables and the S&P BSE Auto index between January 2017 and August 2019, when the automotive industry in India recorded its biggest slump in sales. …”
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Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding by Shanableh, Tamer

“…In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. …”
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The relation between employee satisfaction and job performance in UAE construction industry by Jaber, Mona

“…Similarly, it was confirmed that significant chances for advancement in work (Career Growth) has significant predictive effects on continuous indulgence in new challenges (Task Resilience) (H5). …”
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Can birth weight predict later body composition in anorexia nervosa? by Mattar, L.

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

“…If the large population data is extensive compared to small population data, expect transfer learning results to improve significantly. We show that Transfer learning is capable to create powerful models for genotype-phenotype predictions in large, well-studied populations and fine-tune these models to populations were data is sparse.…”
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

“…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Subsequently, Traffic Transformer captures and learns the hidden relationships between any elements of the input sequence, constructing accurate prediction for multiple forthcoming intervals of traffic accidents. …”

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. …”

Predicting tendon tissue grafting source from the extensors of long fingers by Yammine, Kaissar

“…The aim is to better predict the location of tendon tissue sources on the dorsum of the hand in reconstructive surgery. …”
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Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking by Ahmet Faruk Aysan (11902115)

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

“…</p><h3><br></h3><h3>Results</h3><p dir="ltr">At baseline (BL), PPBP (p < 0.05), THBS1 (p < 0.05), and CDH1 (p < 0.01) were elevated in T2D; LYVE1 was not different between controls and T2D subjects at BL or at subsequent timepoints. …”

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”