BACKGROUND House flies are of major public health concerns in areas with poor sanitation and hygienic conditions. Unfortunately, sanitation and hygiene have always been ignored in dairy farms particularly in the developing or low-income countries. Management of these flies mostly depends on the awareness regarding associated hazards and protective measures taken by the people to minimize risks ...

We have begun to see the emergence of large-scale knowledge bases that house tens of thousands of facts encoded in expressive representational languages. The richness of these representations o er the promise of signi cantly improving the quality of natural language generation, but their representational complexity, scale, and task-independence pose great challenges to generators. We have desig...

Production planning for biopharmaceutical portfolios becomes more complex when products switch between fed-batch and continuous perfusion culture processes. This article describes the development of a discrete-time mixed integer linear programming (MILP) model to optimize capacity plans for multiple biopharmaceutical products, with either batch or perfusion bioprocesses, across multiple facilit...

We have begun to see the emergence of large-scale knowledge bases that house tens of thousands of facts encoded in expressive representational languages. The richness of these representations ooer the promise of signiicantly improving the quality of natural language generation, but their repre-sentational complexity, scale, and task-independence pose great challenges to generators. We have desi...

The emetic responses induced by staphylococcal enterotoxin A (SEA), SEB, SEC2, SED, SEE, SEG, SEH, and SEI in the house musk shrew (Suncus murinus) were investigated. SEA, SEE, and SEI showed higher emetic activity in the house musk shrew than the other SEs. SEB, SEC2, SED, SEG, and SEH also induced emetic responses in this animal model but relatively high doses were required. The house musk sh...

Computer architects extensively use simulation to steer future processor research and development. Simulating large-scale multicore processors is extremely time-consuming sometimes impossible because of infrastructure limitations. This paper proposes scale-model simulation, a novel methodology predict system performance. Scale-model first constructs simulates scale model the target with reduced...

In this paper, we use the house price data ranging from January 2004 to October 2016 to predict the average house price of November and December in 2016 for each district in Beijing, Shanghai, Guangzhou and Shenzhen. We apply Autoregressive Integrated Moving Average model to generate the baseline while LSTM networks to build prediction model. These algorithms are compared in terms of Mean Squar...

background traumatic brain injury (tbi) is an important public health problem throughout the world. objective this study assesses repeated glasgow coma scale (gcs) scores to predict the severity of tbi and survival of the patients. materials and methods a sample of 239 patients who were hospitalized with traumatic brain injury was selected by random sampling from icu wards at shahid beheshti ho...

The present study evaluates the performances of a rammed earth (RE) structure under seismic loading and its reinforcement by using finite element simulations. First, pertinence numerical model was evaluated through simulation an experimental test conducted on 0.5-scale house presented in literature. A full 3D model, based solid elements, surface shell elements were conducted. effects interface ...

In this paper, we develop a new mathematical model that integrates layout configuration and production planning in the design of dynamic distributed layouts. The model incorporates a number of important manufacturing attributes such as demand fluctuation, system reconfiguration, lot splitting, work load balancing, alternative routings, machine capability and tooling requirements. In addition, t...