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RStudio randomforest package
Randomforest Package, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/randomforest+package/randomforest+package/pm40532867-165-12-15
Average 90 stars, based on 1 article reviews
randomforest package - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Ultrasonic replacement of natural aging: Potential strategies for improving the color, antioxidant activity, and volatile compound profile of astragalus mead.
Article Snippet: The growing demand for natural and functional beverages has driven research aimed at improving the quality of herbal meads.. This study investigates the use of non-thermal processing methods, ultrasonic, microwave, and high hydrostatic pressure processing, as alternatives to traditional natural aging for improving the physicochemical properties, antioxidant activity, color stability, and volatile compound profile of astragalus mead.. Response surface methodology was employed to optimize fermentation conditions, which yielded the highest flavonoid content and sensory quality at an impregnation time of 12 h, an impregnation temperature of 10 C, and a fermentation temperature of 20 C. Among the processing methods evaluated (natural aging, ultrasound, microwave irradiation, and high hydrostatic pressure), ultrasound treatment resulted in the most significant improvements.

Article Title: Confirmed vocal activity of mediterranean monk seals in the Inner Ionian Sea Archipelago, Greece.
Article Snippet: We performed a random forest classification with fivefold cross-validation using the randomForest package in RStudio (Liaw and Wiener, 2002).

Article Title: The predictivity of QSARs for toxicity: Recommendations for improving model performance
Article Snippet: Using the 283 PaDEL descriptors as defined in Section 2.1.2, the RandomForest package (present within RStudio) was applied.

Article Title: Leaffooted Bugs, Leptoglossus phyllopus (Hemiptera: Coreidae), Are Attracted to Volatile Emissions from Herbivore-Damaged Cotton Bolls.
Article Snippet: Random Forest analysis was conducted using the randomForest package in R Studio to identify the compounds that distinguished the volatile blends between the herbivory treatments [30,31].

Article Title: Machine-Learning-Optimized Palm-Biomass-Derived Activated Carbon Adsorbent for Gold Recovery from Mobile Leachate
Article Snippet: Given the significant increase in smartphone consumption, an incremental increase in global electronic waste (e-waste) production has become an environmental concern.. Herein, we report on the use of palm biomass as a precursor of activated carbon (AC) to recover gold from e-waste.. The current study utilizes random forest algorithms for the optimization of AC’s production from four types of palm biomass.

Article Title: Leaffooted Bugs, Leptoglossus phyllopus (Hemiptera: Coreidae), Are Attracted to Volatile Emissions from Herbivore-Damaged Cotton Bolls
Article Snippet: Random Forest analysis was conducted using the randomForest package in R Studio to identify the compounds that distinguished the volatile blends between the herbivory treatments [ , ].

Article Title: Gut microbiome is associated with insula structure in neonates.
Article Snippet: The infant brain and gut microbiome both develop rapidly in early infancy.. Growing evidence indicates that the gut microbiome plays a critical role in shaping neurodevelopment early in life, possibly through effects on brain regions involved in affective, interoceptive, and sensory processes.. This study used brain magnetic resonance imaging (MRI) and whole genome sequencing of fecal samples to examine associations between the gut microbiome and brain structures in infants at 2 weeks of age.

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Article Title: The grey water footprint of the Guangdong-Hong Kong-Macao Greater Bay Area, China: Spatial patterns, driving mechanism and implications.
Article Snippet: The grey water footprint (GWF) quantifies the environmental impact of socio-economic activities on water resources.. Facing the dual challenges of rapid economic growth and significant water pollution, the GuangdongHong Kong-Macao Greater Bay Area (GBA) urgently requires precise assessments of its water pollution situation.. This study provides a systematic analysis of the spatial and temporal distributions of the GWF in the GBA from 2008 to 2021, and utilizes the Random Forest model to investigate its driving mechanisms.



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