Results 21 to 30 of about 1,161 (140)
Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Sustainable Development, EarlyView.ABSTRACT The growing global demand for biofuels has raised concern about compromising food security. This study uses two independent economy‐wide models to evaluate the impact of expanding the Brazilian sugarcane bioenergy system on economic growth, social outcomes and food security.
Angelo C. Gurgel +6 more
wiley +1 more source
Trait coevolution and causal inference using generalized dynamic phylogenetic models
Methods in Ecology and Evolution, EarlyView.Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen +3 more
wiley +1 more source
Methods in Ecology and Evolution, EarlyView.Abstract Ecological surveys are often fragmented, costly and limited in scale, leading to large and long‐standing knowledge gaps which threaten our ability to properly safeguard biodiversity. Passive acoustic monitoring (PAM) has promised to deliver automated biodiversity monitoring, but networks are rarely deployed on scales that can offer truly novel
Benjamin Cretois +17 more
wiley +1 more source
Proteomic and Transcriptomic Signatures of Poor Asthma Symptom Control in the U‐BIOPRED Cohort
Allergy, EarlyView.No stable features were identified as associated with asthma symptom control in transcriptomics or sputum proteomics. Higher TWEAKR/TNFRSF12A and MBL/MBP‐C serum levels increased the odds of uncontrolled symptoms, while higher MK08/MAPK8 and CD5L serum levels decreased the odds, after adjustment for clinical variables.
Joana Antão +294 more
wiley +1 more source
Diabetes, Obesity and Metabolism, EarlyView.ABSTRACT Aims Evidence suggests that COVID‐19 may be associated with an increased risk of diabetes. We aimed to examine this association by investigating the role of socioeconomic and metabolic factors on the risk of new‐onset type 2 (T2D) and type 1 (T1D) diabetes after COVID‐19 diagnosis. Materials and Methods We conducted a retrospective, population‐
Sharmin Shabnam +11 more
wiley +1 more source
The Effect of Chlorhexidine Mouthwash on Blood Pressure: A Systematic Review and Meta‐Analysis
International Journal of Dental Hygiene, EarlyView.ABSTRACT Aim This study evaluated the effect of rinsing with a chlorhexidine containing mouthwash (CHX‐MW) on blood pressure (BP), as compared to rinsing with a control MW or no MW, based on (randomised) controlled trials and observational studies in humans. PROSPERO CRD42020222495.
Lars S. J. Toonen +5 more
wiley +1 more source
Exploring Toothbrushing Duration Among Adults: A Systematic Review
International Journal of Dental Hygiene, EarlyView.ABSTRACT Aim There is a need for greater understanding of the average brushing time among individuals. Since the average brushing time remains unclear, this study involves a systematic review to assess this aspect of oral hygiene practices and how it has evolved over the years. Material and Methods The PubMed‐MEDLINE and Cochrane‐CENTRAL databases were
Tim M. J. A. Thomassen +3 more
wiley +1 more source
Journal of Time Series Analysis, EarlyView.ABSTRACT We propose a new formulation of the Vašičekmodel within the framework of functional data analysis. We treat observations (continuous‐time rates) within a suitably defined trading day as a single statistical object. We then consider a sequence of such objects, indexed by day.
Piotr Kokoszka +4 more
wiley +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
Mathematical Finance, EarlyView.ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source