Results 131 to 140 of about 13,071 (304)

Researcher–Entrepreneur Relationship and Performance of Innovative Startups

International Journal of Finance &Economics, EarlyView.
ABSTRACT Many innovative startups are joint ventures between researchers and entrepreneurs, who collaborate in R&D and product commercialization. Government policies such as grants, subsidies, and patent licensing fees act as Pigouvian subsidies, incentivizing R&D by bridging the gap between the social and private returns of innovation.
Yangguang Huang, Helen Hui
wiley   +1 more source

Analysis of a Weak Galerkin Mixed Formulation for Modified Maxwell’s Equations

Mathematics
In this paper, we are interested in studying a mixed formulation of weak Galerkin type to approach the electric field and a Lagrange multiplier, which are solutions of a problem deriving from Maxwell’s equations.
Abdelhamid Zaghdani, Abdelhalim Hasnaoui
doaj   +1 more source

Lagrange multiplier selection in hybrid video coder control

, 2022
S.542-545The Lagrangian coder control together with the parameter choice is presented that lead to the creation of the new hybrid video coder specifications TMN-10 for H.263 and TML for H.26L.
Wiegand, T., Girod, B.
core  

New Drain Spacing Formulas Using the Variational Iteration Method

Irrigation and Drainage, EarlyView.
ABSTRACT In this study, the drain spacing is computed using the variational iteration method (VIM) to the linearized Boussinesq equation. By applying at most two iterations of the VIM method under three different initial condition scenarios, three equations for drain spacing calculation were derived. These equations predict values of drain spacing that
George Kargas, Leonidas Mindrinos, Paraskevi Londra   +2 more
wiley   +1 more source

Spatial Correlation Testing for Errors in Panel Data Regression Model

پژوهش‌های ریاضی, 2016
To investigate the spatial error correlation in panel regression models, various statistical hypothesizes and testings have been proposed. This paper, within introduction to spatial panel data regression model, existence of spatial error correlation and ...
S Sasani, M Mohammadzadeh
doaj  

NONLINEAR PROGRAMS WITH UNBOUNDED LAGRANGE MULTIPLIER SETS

, 2008
We investigate nonlinear programs that have a nonempty but possibly unbounded Lagrange multiplier set and that satisfy the quadratic growth condition. We show that such programs can be transformed, by relaxing the constraints and adding a linear penalty ...
Mihai Anitescu
core  

The Effect of the Interaction Between Price and Time Preference on Cigarette Consumption

International Studies of Economics, EarlyView.
ABSTRACT The primary focus of this essay is to obtain new estimates of the price sensitivity of cigarette consumption and related outcomes using the 1979 cohort of the National Longitudinal Survey of Youth (NLSY79). This work expands on the existing literature on the topic by taking into account measures of time preference in the NLSY79 to examine ...
Yan Song
wiley   +1 more source

Generation of Optimal FRP Layout for Strengthening Damaged Structures with a Local Displacement Constraint

Buildings
Structural deflection is a critical factor used for evaluating the effectiveness of reinforcement. This study proposes a method for generating FRP layouts with a local displacement constraint to strengthen damaged structures.
Ping Yuan, Yafu Cai, Guodong Wang, Xuhui Zhang, Lizhao Dai   +4 more
doaj   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley   +1 more source