East African Fisheries Research Organization Annual Report 1952

Several important advances have been made in our knowledge both regarding the factors which determine fertility in tropical lakes and the fish that live in them. As a result of our investigations a new theory has been put forward regarding the part played by animals in the bionomics of a lake; this theory, stated somewhat baldly, is that within certain limits the greater the number of animals in a shallow tropical lake, the greater becomes its potential fertility, and therefore the greater the number of animals it can support. The theory arises as a logical conclusion, once we accept the fact that the rate of production in such a lake is determined by the rate at which organic matter is decomposed. Bottom deposits which consist mainly of vegetable matter decompose slowly, whereas deposits which contain a high proportion of matter of animal origin decompose more rapidly. Thus the more animals in a lake, particularly animals which feed on plant material, the faster the biological cycle can proceed and the greater the density of animals it can support. This new concept will have a very profound influence on our ideas concerning the consequences of overfishing tropical waters. It also shows that efforts must be made to encourage and protect all herbivorous and detritus feeding animals, whether they be copepods, fish, or hippopotami, and whether they are of immediate economic importance or not.

Blind equalization and sequence estimation using Markov chain Monte Carlo methods

This paper discusses the problem of restoring a digital input signal that has been degraded by an unknown FIR filter in noise, using the Gibbs sampler. A method for drawing a random sample of a sequence of bits is presented; this is shown to have faster convergence than a scheme by Chen and Li, which draws bits independently. ©1998 IEEE.

An overview of Sequential Monte Carlo methods for parameter estimation in general state-space models

Nonlinear non-Gaussian state-space models arise in numerous applications in control and signal processing. Sequential Monte Carlo (SMC) methods, also known as Particle Filters, provide very good numerical approximations to the associated optimal state estimation problems. However, in many scenarios, the state-space model of interest also depends on unknown static parameters that need to be estimated from the data. In this context, standard SMC methods fail and it is necessary to rely on more sophisticated algorithms. The aim of this paper is to present a comprehensive overview of SMC methods that have been proposed to perform static parameter estimation in general state-space models. We discuss the advantages and limitations of these methods. © 2009 IFAC.

A markov chain Monte Carlo method for estimating population mixing using Y-chromosome markers: Mixing of the Han people in China

We present a new approach for estimating mixing between populations based on non-recombining markers, specifically Y-chromosome microsatellites. A Markov chain Monte Carlo (MCMC) Bayesian statistical approach is used to calculate the posterior probability

Annual Report of the Game and Fisheries Department for the year ended 31st December 1952

The annual report presents information on Lake Victoria, Lake Albert (including tbe Albert Nile and associated Fisheries)-Report by Lake Albert Fisheries Officer,Lake Kyoga and Waters of Eastern Uganda-Report by Fisheries Officer, Serere. Lakes George, Edward and Waters of Western Uganda -Report by the Fisheries Officer, Kichwamba Fish Farming-Report by the Fisheries Officer, Fish Fanning,dams,crocodiles. It presents information on angaling, Trouting, Nile Perch and Ripon Falls Barbel

Monte Carlo optimization strategies for air-traffic control

The safety of the flights, and in particular conflict resolution for separation assurance, is one of the main tasks of Air Traffic Control. Conflict resolution requires decision making in the face of the considerable levels of uncertainty inherent in the motion of aircraft. We present a Monte Carlo framework for conflict resolution which allows one to take into account such levels of uncertainty through the use of a stochastic simulator. A simulation example inspired by current air traffic control practice illustrates the proposed conflict resolution strategy. Copyright © 2005 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

Filariasis research annual report 1952

This 1952 report gives details of findings in the Southern and Southern Highlands Provinces. Accordingly in this publication a return is made to the more usual method of presentation, a summary being given of work done, with detailed sectional reports.

生物分子水溶液的Monte Carlo模拟 Ⅲ: 力偏倚抽样法和Metropolis抽样法的比较

用力偏倚(FB)法,由体系的晶体点阵构型出发到达平衡态所需的循环数为Metroplis法的武分之二。为了得到较好的结构信息所需的构型数也仅为后者的五分之二。虽然每个循环所需机时为Metropolis法的1.6倍,仍是一加速收敛的好方法。此外进一步支持了以分子的平移扩散作为判别抽样效率的判据,指出接受几率在0.33—0.36之间的步长可能是合适的。此外还统计了和丙氨酸作用大于2kcal/mol的分子座标,使它们与丙氨酸-水分子径向分布图的峰值相对应。图2表2参9