19,566 research outputs found
Model Gaya Kepemimpinan Yang Mempengaruhi Kinerja Bawahan
Gaya kepemimpinan dalam sebuah proyek konstruksi memegang peranan penting dalam mencapai tujuan proyek. Gaya kepememimpinan dan pengaruhnya terhadap bawahan berbeda-beda bagi setiap individu. Dalam penelitian ini, penulis membandingkan antara gaya kepemimpinan dan inovasi gaya kepemimpinan dalam mempengaruhi kinerja bawahan. Penulis menggunakan kuisioner dengan sistem skala likert untuk mengetahui seberapa besar pengaruh pengaruh setiap indikator dari gaya kepemimpinan, inovasi gaya kepemimpinan dan kinerja bawahan. Tujuannya adalah untuk menentukan faktor– faktor yang dapat mempengaruhi gaya kepemimpinan, menentukan faktor – faktor yang dapat mempengaruhi inovasi keterampilan kepemimpinan, menentukan faktor – faktor yang dapat mempengaruhi kinerja bawahan, serta membuat sebuah model gaya kepemimpinan yang mempengaruhi kinerja bawahan yang terdiri dari gaya kepemimpinan, inovasi keterampilan kepemimpinan, dan kinerja bawahan
Identifying network communities with a high resolution
Community structure is an important property of complex networks. An
automatic discovery of such structure is a fundamental task in many
disciplines, including sociology, biology, engineering, and computer science.
Recently, several community discovery algorithms have been proposed based on
the optimization of a quantity called modularity (Q). However, the problem of
modularity optimization is NP-hard, and the existing approaches often suffer
from prohibitively long running time or poor quality. Furthermore, it has been
recently pointed out that algorithms based on optimizing Q will have a
resolution limit, i.e., communities below a certain scale may not be detected.
In this research, we first propose an efficient heuristic algorithm, Qcut,
which combines spectral graph partitioning and local search to optimize Q.
Using both synthetic and real networks, we show that Qcut can find higher
modularities and is more scalable than the existing algorithms. Furthermore,
using Qcut as an essential component, we propose a recursive algorithm, HQcut,
to solve the resolution limit problem. We show that HQcut can successfully
detect communities at a much finer scale and with a higher accuracy than the
existing algorithms. Finally, we apply Qcut and HQcut to study a
protein-protein interaction network, and show that the combination of the two
algorithms can reveal interesting biological results that may be otherwise
undetectable.Comment: 14 pages, 5 figures. 1 supplemental file at
http://cic.cs.wustl.edu/qcut/supplemental.pd
Open questions in the study of population III star formation
The first stars were key drivers of early cosmic evolution. We review the
main physical elements of the current consensus view, positing that the first
stars were predominantly very massive. We continue with a discussion of
important open questions that confront the standard model. Among them are
uncertainties in the atomic and molecular physics of the hydrogen and helium
gas, the multiplicity of stars that form in minihalos, and the possible
existence of two separate modes of metal-free star formation.Comment: 15 pages, 2 figures. To appear in the conference proceedings for IAU
Symposium 255: Low-Metallicity Star Formation: From the First Stars to Dwarf
Galaxie
The application of reliability methods in the design of stiffened FRP composite panels for marine vessels
The use of composite laminate materials has increased rapidly in recent years due to their excellent strength to weight ratio and resistance to corrosion. In the construction of marine vessels, stiffened plates are the most commonly used structural elements, forming the deck, bottom hull, side shells and bulkheads. This paper presents the use of a stochastic approach to the design of stiffened marine composite panels as part of a current research programme into developing stochastic methods for composite ship structures, accounting for variations in material properties, geometric indices and processing techniques, from the component level to the full system level. An analytical model for the solution of a stiffened isotropic plate using a grillage analogy is extended by the use of equivalent elastic properties for composite modelling. This methodology is applied in a reliability analysis of an isotropic (steel) stiffened plate before the final application for a reliability analysis for a FRP composite stiffened plate
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