Phosphomevalonate kinase (PMK) catalyzes phosphoryl transfer from adenosine triphosphate (ATP) to mevalonate 5-phosphate (M5P) on the pathway for synthesizing cholesterol and other isoprenoids. To permit this reaction, its substrates must be brought proximal, which would result in a significant and repulsive buildup of negative charge. To facilitate this difficult task, PMK contains 17 arginine...

Abstract Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow, and surface water quality quantity. This study includes comparative analysis of the two machine learning techniques, M5P model tree (M5P) Gene Expression Programming (GEP), predictions infiltration characteristics. The models were trained tested using 7 combination (CMB1 – CMB7) input parameters...

Accurate estimation of soil temperature (Ts) at a national scale under different climatic conditions is important for soil–plant–atmosphere interactions. This study estimated daily Ts the 0 cm depth 689 meteorological stations in seven climate zones China period 1966–2015 with M5P model tree (M5P), random forests (RF), and extreme gradient boosting (XGBoost). The results showed that XGBoost (av...

In water bodies, sediment transport is a potential source of numerous negative effects on resource projects and can damage environmental services. Two machine learning (ML) algorithms, the M5P random forest (RF) models, have been explored for first time as alternatives to Soil Water Assessment Tool (SWAT) model estimate suspended load (SSL) in Oskotz river basin, forested experimental basin Nav...

bearing capacity prediction of shallow foundation is one of the most important problems in geotechnical engineering practices, with a wide variety range of methods which have been introduced to forecast it accurately. recently, soft computing methods such as artificial neural networks (anns) and support vector machines (svms) have been used for prediction of the ultimate bearing capacity of sha...

نخستین گام در راستای تحلیل و ارزیابی ریسک‌های زنجیره تأمین شناسایی این ریسک‌ها است. روش‌های مرسوم بر اساس فیلترهای دستی یا خودکار داده‌­محور ارائه شده فیلتر به‌­دلیل محدودیت‌های نمونه‌گیری دارای مشکلات اعتبارسنجی هستند از طرف دیگر مبتنی داده، داده‌های ریسک که پیچیده مبهم هستند، عملکرد ضعیفی دارند. برای پرکرده خلل پژوهشی، پژوهش، چارچوبی تعاملی بین تحلیل‌­گر ماشین حجم وسیعی حوزه مواد غذایی با است...