Results 231 to 240 of about 11,025,050 (395)

Prediction of protein interactions with function in protein (de-)phosphorylation. [PDF]

open access: yesPLoS One
Vagiona AC   +5 more
europepmc   +1 more source

Symbolic computation of exact solutions expressible in hyperbolic and elliptic functions for nonlinear PDEs

open access: bronze, 2004
D. Baldwin   +5 more
openalex   +1 more source

On Jordan Type Inequalities for Hyperbolic Functions [PDF]

open access: gold, 2010
Riku Klén   +2 more
openalex   +1 more source

Increasing sedentary time, minimum dietary energy requirements, and food security assessment

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract We compute corrections for sedentary behavior in physical activity levels (PALs) and incorporate them along with corrections for over estimation of basal metabolic rates (BMRs) into threshold caloric intakes, known as minimum dietary energy requirements (MDERs).
Jacob Michels   +2 more
wiley   +1 more source

Universal harmonic functions on the hyperbolic space [PDF]

open access: bronze, 2010
Athanassia Bacharoglou   +1 more
openalex   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev   +3 more
wiley   +1 more source

Glucose enzymes reaction in a spherical matrix using HPM and HFM. [PDF]

open access: yesSci Rep
Suguna M   +5 more
europepmc   +1 more source

Forecasting Wholesale Electricity Market Prices Considering Bidding Conditions Using Price Sensitivity

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
It is very difficult to predict spot prices in Japan, where solar power generation has entered the market. Herein, It is attempted to predict the timing of sudden price changes by using price sensitivity, which will begin to be made public in 2021. The impact of price sensitivity on forecasting will be examined by making other variables general.
Shinji Hirota   +4 more
wiley   +1 more source

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