Results 161 to 170 of about 142,592 (341)

A Validated Model to Predict Severe Weight Loss in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Severe weight loss in amyotrophic lateral sclerosis (ALS) is common, multifactorial, and associated with shortened survival. Using longitudinal weight data from over 6000 patients with ALS across three cohorts, we built an accelerated failure time model to predict the risk of future severe (≥ 10%) weight loss using five single‐timepoint ...
David G. Lester   +4 more
wiley   +1 more source

Risk of Hepatotoxicity in Patients With Gout Treated With Febuxostat or Benzbromarone: A Propensity Score–Matched Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this study was to evaluate and compare the risk of hepatotoxicity associated with the use of febuxostat and benzbromarone in patients with gout. Methods New users of febuxostat or benzbromarone with monitoring of liver function at least three times in a year after initiation of the study drugs were identified from an ...
Wenyan Sun   +8 more
wiley   +1 more source

ANALISIS KADAR PENGAWET BORAKS PADA BLENG DAN KERUPUK PULI YANG DIPRODUKSI OLEH BEBERAPA HOME INDUSTRI KABUPATEN MAGETAN [PDF]

open access: yes, 2007
Puli crisply is one of kind crisply which made of rice upon. Beside that, oftentimes the processing is enhanced by bleng. Bleng is phosphate salt condensation, in form of crystal, and yellowish chromatic, the content have many boron element and some ...
WIJAYANTI, RENI
core  

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath   +4 more
wiley   +1 more source

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