MULTIPLE MALE AND FEMALE REPRODUCTIVE STRATEGIES AND THE PRESENCE OF A POLYANDRIC MATING SYSTEM IN THE TERMITE RETICULITERMES LABRALIS (ISOPTERA:RHINOTERMITIDAE)

Multiple male and female reproductive strategies and the presence of a polyandric mating system in the termite Reticulitermes labralis (Isoptera:Rhinotermitidae)

Beef Reproductive systems of termite colonies may involve the number of individuals in the reproductive caste and the copulatory selectivity of reproductive individuals (i.e., polyandry or polygamy), both of which directly impact the fertility and genetic diversity of the colony.Polygamy is widespread in the lower termites, whereas polyandry appear

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Unscheduled hospital contacts after inpatient discharge: A national observational study of COPD and heart failure patients in England.

IntroductionReadmissions are a recognised challenge for providers of healthcare and incur financial penalties in a growing number of countries.However, the scale of unscheduled hospital contacts including attendances at emergency departments that do not result in admission is not well known.In addition, little is known about the route to readmissio

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FRANCHISING AS A BUSINESS CONCEPT - CHANCE FOR MANY IN SERBIA

The development of the franchise network as an alternative solution in comparison with the traditional opening of the organizational units allows our own expansion through enganging less money and risk-sharing with local entrepreneurs who are already well familiar with its own market and its potential and had it completely checked before investing

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Fully Convolutional Neural Network Prediction Method for Aerostatic Performance of Bluff Bodies Based on Consistent Shape Description

The shape of a bluff body section is of high importance to its aerostatic performance.Obtaining the aerostatic performance of a specific shape based on wind tunnel tests and CFD simulations takes a lot of time, which affects evaluation efficiency.This paper proposes a novel fully convolutional neural network model that enables rapid prediction from

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