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Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides
Published 2015“…Based on our analysis pipeline, we identified four potential maize defense subnetwork modules. …”
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Antifungal activity of green synthesized selenium nanoparticles and their effect on physiological, biochemical, and antioxidant defense system of mango under mango malformation dis...
Published 2023“…The SeNPs at a concentration of 30 μg/mL were found to be the best concentration which enhanced the physiological (chlorophyll and membrane stability index), and biochemical (proline and soluble sugar) parameters. The antioxidant defense system was also explored, and it was reported that green synthesized SeNPs significantly reduced the biotic stress by enhancing enzymatic and non-enzymatic activities. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
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Predicting stability of classes in an object-oriented system
Published 2010“…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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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases
Published 2010“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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Hepatitis serology predicts tumor and liver-disease characteristics but not prognosis after resection of hepatocellular carcinoma
Published 2004“…The presence of hepatitis did not significantly affect the survival rate, but hepatic fibrosis and vascular invasion predicted a decreased survival rate. …”
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Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai
Published 2014“…The root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
Published 2023“…Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health
Published 2024“…We believe Dapagliflozin prescriptions in Qatar were associated with decreased Gamma Glutamyltransferase and Aspartate Aminotransferase enzyme levels, confirming prior research. …”
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Neoadjuvant Chemotherapy Alters Neuropilin-1, PlGF, and SNAI1 Expression Levels and Predicts Breast Cancer Patients Response
Published 2019“…Unlike NRP-1, circulating PlGF was significantly increased (<i>p</i> = 0.014) in patients with a pathological complete response (pCR). …”
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Battery Energy Management Techniques for Electric Vehicle Traction System
Published 2019Get full text
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A machine learning-based optimization approach for pre-copy live virtual machine migration
Published 2023“…However, the cloud services may be temporarily unavailable due to maintenance of the cloud infrastructure, load balancing of services, defense against cyber attacks, power management, proactive fault tolerance, or resource usage. …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
Published 2025“…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …”
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Impact of global macroeconomic factors on spillovers among Australian sector markets: fresh findings from a wavelet-based analysis
Published 2023“…Using data from May 14, 2007 to March 31, 2022, this study applies the time-varying parameter vector autoregressive model to study their static and dynamic connectedness, wavelet coherence analysis to investigate the time-frequency co-movement of global macroeconomic factors with Australian sector stock indices and wavelet decomposition-based Granger causality. The results show that aggressive stocks (Industrials, Consumer Discretionary and Financials) are net transmitters, while defensive stocks (Health, Information Technology, Communication and Utilities) are net receivers of spillovers. …”
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis
Published 2019“…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. …”
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PRACTICES OF SAFETY DESIGN OF SAUDI RESIDENTIAL BUILDINGS
Published 2020“…Architects and engineers play the most significant role assuring safety in the design of buildings. …”
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Generative AI: a double-edged sword in the cyber threat landscape
Published 2025“…Its usage by malevolent entities to automate intricate malware creation poses a significant threat, circumventing conventional defensive measures. …”