Soil temperature plays an important role in agriculture, industry and other fields.Accurate soil temperature prediction can help improve productivity and avoid risks in many fields.At present, many machine learning methods have been applied to soil temperature prediction such as support vector regression (SVR), artificial neural network (ANN), long

We introduce a family of lattice-gas models Beanies of flocking, whose thermodynamically consistent dynamics admits a proper equilibrium limit at vanishing self-propulsion.These models are amenable to an exact coarse-graining which allows us to study their hydrodynamic behavior analytically.We show that the equilibrium limit here belongs to the uni

Water pollution is one of the recent problems of societies.In recent years, there has been a lot of focus on finding new ways to purify water.In addition, the usual and old purification methods cannot effectively remove new chemical pollutants from water.Therefore, these pollutants inflict lots of problems including different diseases.Thus, new met

The current empirical enquiry aimed to investigate the relationship among job rotation, musculoskeletal disorders and human resource productivity in Iran Carton Manufacturing Company and to detect any significant and interaction effect among the constructs.To this end, a sample of 116 laborers at Iran Carton Company was randomly selected to take pa