Design of Stocking Density of Broilers for Closed House in Wet Tropical Climates

The objectives of this research were to: 1) design the stocking density of broiler reared at a closed house system in wet tropical climates based on the heat released by broiler, 2) design broiler harvesting system based on the housing heat load, and 3) design required housing area based on the broiler age. The housing design used to determine the broiler stocking density was based on Computational Fluid Dynamics (CFD) with Solid Works Flow Simulation software. The method had good validation shown by small number of average percentage of deviation (6.07%). Simulation was carried out by changing the number of broilers i.e. 16, 18, 20, 21 and 22 birds/m2. According to the CFD simulation result, total heat load inside the house was 233.33 kW at 21 birds/m2 at weight 1.65 kg/bird. At that stocking density the housing can be occupied by 27,224 birds until 22 days of age. The highest total weight was produced by daily harvesting started from 22 to 32 d. It can be concluded that the stocking density of closed house for broiler is 34.65 kg/m2, total production is 45,717 kg per period and the required area for 27,224 broilers is 248.63 m2 (1 to 7 days of age broiler), 562.52 m2 (8 to 14 days of age broiler) and 1,000 m2 (15 to 22 days of age broiler)

Density of abortion facilities in the four largest US cities

Population Research Cente

Density of States Method at Finite Isospin Density

The density of states method is applied for lattice QCD at a finite isospin density. The advantage of this method is that one can easily obtain results for various values of parameters (quark mass, coupling constant and the number of flavors). We compare results for the chiral condensate and the quark number density with those from the R-algorithm and find that they are in good agreement. By calculating the chiral condensate we obtain information on the phase structure for various quark flavors and isospin chemical potentials. We also show results for the chiral condensate at two different quark masses and at two different isospin densities which are not easily obtainable in the conventional Monte Carlo method.Comment: 11 pages, 15 figure

Density and Crowd in Palasari Bandung Book Market

BBC Bookstore at Palasari Market is a shop frequently visited by buyers, because in addition to implement a self-service system, it also has a quite complete book collection. However, the storage of books there exceeds the store’s capacity and not well organized, which caused the density of the store. Therefore, it is necessary to examine how the density and crowd affect space users in the activities that take place inside the store. The method of research conducted is using a qualitative approach, which related to the condition of the bookstore. This study observes to which extent the density and crowd occurs in Bandung Book Store in Palasari Book Market, and observes its impact on space users. The results of field studies show that dense objects placement in a store result in congestion and density for the users who use the place as well. Result of this study shows that the relationship between density and crowd affects human behavior in space. The density caused by the number of people and displayed books in the store resulted in distress and discomfort of the space users. Keywords: density, crowd, bookstor

Modelling the Density of Inflation Using Autoregressive Conditional Heteroscedasticity, Skewness, and Kurtosis Models

The paper aimed at modelling the density of inflation based on time-varying conditional variance, skewness and kurtosis model developed by Leon, Rubio, and Serna (2005) who model higher-order moments as GARCH-type processes by applying a Gram-Charlier series expansion of the normal density function. Additionally, it extended their work by allowing both conditional skewness and kurtosis to have an asymmetry term. The results revealed the significant persistence in conditional variance, skewness and kurtosis which indicate high asymmetry of inflation. Additionally, diagnostic tests reveal that models with nonconstant volatility, skewness and kurtosis are superior to models that keep them invariant.inflation targeting, conditional volatility, skewness and kurtosis, modelling uncertainty of inflation

Generalization Bounds via Information Density and Conditional Information Density

We present a general approach, based on an exponential inequality, to derive bounds on the generalization error of randomized learning algorithms. Using this approach, we provide bounds on the average generalization error as well as bounds on its tail probability, for both the PAC-Bayesian and single-draw scenarios. Specifically, for the case of subgaussian loss functions, we obtain novel bounds that depend on the information density between the training data and the output hypothesis. When suitably weakened, these bounds recover many of the information-theoretic available bounds in the literature. We also extend the proposed exponential-inequality approach to the setting recently introduced by Steinke and Zakynthinou (2020), where the learning algorithm depends on a randomly selected subset of the available training data. For this setup, we present bounds for bounded loss functions in terms of the conditional information density between the output hypothesis and the random variable determining the subset choice, given all training data. Through our approach, we recover the average generalization bound presented by Steinke and Zakynthinou (2020) and extend it to the PAC-Bayesian and single-draw scenarios. For the single-draw scenario, we also obtain novel bounds in terms of the conditional $\alpha$-mutual information and the conditional maximal leakage.Comment: Published in Journal on Selected Areas in Information Theory (JSAIT). Important note: the proof of the data-dependent bounds provided in the paper contains an error, which is rectified in the following document: https://gdurisi.github.io/files/2021/jsait-correction.pd

Dynamical density-density correlations in one-dimensional Mott insulators

The dynamical density-density correlation function is calculated for the one-dimensional, half-filled Hubbard model extended with nearest neighbor repulsion using the Lanczos algorithm for finite size systems and analytically for large on site repulsion compared to hopping amplitudes. At the zone boundary an excitonic feature exists for any finite nearest neighbor repulsion and exhausts most of the spectral weight, even for parameters where no exciton is visible at zero momentum.Comment: 5 pages, REVTeX, epsf, 3 postscript figure

Screening in orbital-density-dependent functionals

Electronic-structure functionals that include screening effects, such as Hubbard or Koopmans' functionals, require to describe the response of a system to the fractional addition or removal of an electron from an orbital or a manifold. Here, we present a general method to incorporate screening based on linear-response theory, and we apply it to the case of the orbital-by-orbital screening of Koopmans' functionals. We illustrate the importance of such generalization when dealing with challenging systems containing orbitals with very different chemical character, also highlighting the simple dependence of the screening on the localization of the orbitals. We choose a set of 46 transition-metal complexes for which experimental data and accurate many-body perturbation theory calculations are available. When compared to experiment, results for ionization potentials show a very good performance with a mean absolute error of $~0.2$ eV, comparable to the most accurate many-body perturbation theory approaches. These results reiterate the role of Koopmans' compliant functionals as simple and accurate quasiparticle approximations to the exact spectral functional, bypassing diagrammatic expansions and relying only on the physics of the local density or generalized-gradient approximation