scholarly journals Multivariable nonparametric learning: A robust iterative inversion‐based control approach

2020 ◽  
Vol 31 (2) ◽  
pp. 541-564
Author(s):  
Robin Rozario ◽  
Tom Oomen
Keyword(s):  
Control Approach ◽  
Nonparametric Learning ◽  
Iterative Inversion

A Robust Control Approach for Primary Frequency Regulation through Variable Speed Wind Turbines

2010 ◽  
Vol 130 (11) ◽  
pp. 1002-1009 ◽  
Author(s):  
Jorge Morel ◽  
Hassan Bevrani ◽  
Teruhiko Ishii ◽  
Takashi Hiyama
Keyword(s):  
Robust Control ◽  
Wind Turbines ◽  
Frequency Regulation ◽  
Variable Speed ◽  
Control Approach ◽  
Primary Frequency

H∞ Control Approach to Reduction of Energy Capacity of Energy Storage Systems

2017 ◽  
Vol 137 (8) ◽  
pp. 596-597
Author(s):  
Kenta Koiwa ◽  
Kenta Suzuki ◽  
Kang-Zhi Liu ◽  
Tadanao Zanma ◽  
Masashi Wakaiki ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage Systems ◽  
Energy Capacity ◽  
Energy Storage Systems ◽  
Control Approach

Gestational diabetes mellitus and macrosomia: An analysis of secondary data

2018 ◽  
Vol 1 (2) ◽  
pp. 94-98
Author(s):  
Mufdlilah Mufdlilah ◽  
Fijri Rachmawati
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Maternal Morbidity ◽  
Secondary Data ◽  
Case Control ◽  
Health Issues ◽  
Control Approach ◽  
The Past ◽  
Maternal Morbidity And Mortality

Excessive fetal weight is considered as a health issues because it increases perinatal and maternal morbidity and mortality. The prevalence of macrosomia worldwide has increased over the past 2 to 3 decades. This study aimed to determine correlation between the incidence of gestational diabetes mellitus and macrosomia among pregnant women. The design of this study was analytical with a case control approach. Data used to analyze the incidence of macrosomia based on secondary data from 2014-2018. This research suggested that diabetes mellitus in pregnancy has a significant relationship with the incidence of macrosomia.

The relationship between brain structure and general psychopathology in preadolescents

2020 ◽  
Author(s):  
Louise Mewton ◽  
Briana Lees ◽  
Lindsay Squeglia ◽  
Miriam K. Forbes ◽  
Matthew Sunderland ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Surface Area ◽  
Brain Structure ◽  
Parental Education ◽  
Mental Illnesses ◽  
General Psychopathology ◽  
Control Approach ◽  
Cortical Volume ◽  
Subcortical Regions ◽  
The Relationship

Categorical mental disorders are being recognized as suboptimal targets in clinical neuroscience due to poor reliability as well as high rates of heterogeneity within, and comorbidity between, mental disorders. As an alternative to the case-control approach, recent studies have focused on the relationship between neurobiology and latent dimensions of psychopathology. The current study aimed to investigate the relationship between brain structure and psychopathology in the critical preadolescent period when psychopathology is emerging. This study included baseline data from the Adolescent Brain and Cognitive Development (ABCD) Study® (n = 11,721; age range = 9-10 years; male = 52.2%). General psychopathology, externalizing, internalizing, and thought disorder dimensions were based on a higher-order model of psychopathology and estimated using Bayesian plausible values. Outcome variables included global and regional cortical volume, thickness, and surface area. Higher levels of psychopathology across all dimensions were associated with lower volume and surface area globally, as well as widespread and pervasive alterations across the majority of cortical and subcortical regions studied, after adjusting for sex, race/ethnicity, and parental education. The relationships between general psychopathology and brain structure were attenuated when adjusting for cognitive functioning. There was evidence of a relationship between externalizing psychopathology and frontal regions of the cortex that was independent of general psychopathology. The current study identified lower cortical volume and surface area as transdiagnostic biomarkers for general psychopathology in preadolescence. The widespread and pervasive relationships between general psychopathology and brain structure may reflect cognitive dysfunction that is a feature across a range of mental illnesses.

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