نتایج جستجو برای: net saving maximization

تعداد نتایج: 151451  

2010
Michael Sattinger

This paper derives the incidence of linear taxes on capital and labor in a competitive equilibrium in balanced growth. The paper further considers a tax on consumption and a tax credit. Tax incidence is determined using an analytic expression for the saving rate out of income net of all taxes and credits. Results for zero population growth do not extend to positive population growth, where the ...

2005
Leon Bettendorf Ben Heijdra Leon J.H. Bettendorf Ben J. Heijdra

In this paper we study the implications of population ageing in an economy with a sizeable non-traded goods sector. To this effect a highly stylized micro-founded macro model is constructed in which the age structure of the population plays a non-trivial role. The model distinguishes separate birth and death probabilities (thus allowing for net population change), allows for age-dependent labou...

Journal: :North Carolina Medical Journal 2017

Journal: :Intelligent Automation and Soft Computing 2023

Big Data and artificial intelligence are used to transform businesses. Social networking sites have given a new dimension online data. media platforms help gather massive amounts of data reach wide variety customers using influence maximization technique for innovative ideas, products services. This paper aims develop deep learning method that can identify the influential users in network. comb...

2009
Surasak Saokaew Sirada Maphanta Pornchanok Thangsomboon.

UNLABELLED Pharmacist participation in patient care team has been shown to reduce incidence of adverse drug events, and overall drug costs. However, impact of pharmacist participation in the multidisciplinary intensive care team on cost saving and cost avoidance has little been studied in Thailand. OBJECTIVE To describe the characteristics of the interventions and to determine pharmacist's in...

ژورنال: علوم آب و خاک 2005
جواد ترکمانی, , محمد عبدالهی عزت آبادی, ,

This study shows how multiobjective programming, compromise programming and filtering techniques could be used to manage scarce resources. Data were collected from a sample of 109 Rafsanjan pistachio producers. The aim of the program was to make a compromise between the objectives of profit maximization, the maximization of the area under pistachio gardens and also maximization of the groundwat...

Journal: :The American naturalist 2003
Jan A van Gils Ingrid W Schenk Oscar Bos Theunis Piersma

Foragers that feed on hidden prey are uncertain about the intake rate they can achieve as they enter a patch. However, foraging success can inform them, especially if they have prior knowledge about the patch quality distribution in their environment. We experimentally tested whether and how red knots (Calidris canutus) use such information and whether their patch-leaving decisions maximized th...

Journal: :Entropy 2004
Jack Denur

The randomness of Brownian motion at thermodynamic equilibrium can be spontaneously broken by velocity-dependence of fluctuations, i.e., by dependence of values or probability distributions of fluctuating properties on Brownian-motional velocity. Such randomness-breaking can spontaneously obtain via interaction between Brownian-motional Doppler effects — which manifest the required velocity-dep...

Journal: :Buildings 2022

Bioclimatic solar greenhouses are passive systems of relevant interest in the building sector, as they allow reduction energy needs related to air-conditioning. The aim this work is analyze thermal behavior a bioclimatic greenhouse attached residential building. It equipped with photovoltaic blinds (SPBs) manage inputs and produce electricity. Automated control implemented activate vents SPBs. ...

Journal: :CoRR 2010
Ryota Tomioka Taiji Suzuki

Multiple kernel learning (MKL), structured sparsity, and multi-task learning have recently received considerable attention. In this paper, we show how different MKL algorithms can be understood as applications of either regularization on the kernel weights or block-norm-based regularization, which is more common in structured sparsity and multi-task learning. We show that these two regularizati...

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