Israeli warplanes fired missiles on Iran during a retaliatory strike early Friday morning, one Western official and two Iranian officials said, suggesting that the attack included more advanced firepower than initial reports indicated. It was not immediately clear the types of missiles used, from where they were fired, whether any were intercepted by Iran's defenses or where they landed. The Western official and the Iranian officials requested anonymity to discuss classified information. Previously, Iranian officials said Friday's attack on a military base in central Iran was conducted by small aerial drones, most likely launched from inside Iranian territory. A separate group of small drones, they said soon after the attack, was shot down in the region of Tabriz, roughly 500 miles north of Isfahan.

Drought is a natural creeping threat with numerous damaging effects in various aspects of human life. Accurate drought prediction is a promising step in helping policy makers to set drought risk management strategies. To fulfill this purpose, choosing appropriate models plays an important role in predicting approach. In this study, different models of Artificial Neural Network (ANN) are employed to predict short and long-term of droughts by using Standardized Precipitation Index (SPI) at different time scales, including 3, 6, 12, 24 and 48 months in Tabriz city, Iran. To this end, different combination of calculated SPI and time series of various hydro-meteorological variables, such as precipitation, wind velocity, relative humidity and sunshine hours for years 1992 to 2010 are used to train the ANN models. In order to compare the models performances, some well-known measures, namely RMSE, Mean Absolute Error (MAE) and Correlation Coefficient (CC) are utilized in the present study. The results illustrate that the application of all hydro-meteorological variables significantly improves the prediction of SPI at different time scales.

The Hippocratic oath states: "first do no harm." In today's era of personalized medicine, we are trying to uphold this oath, but we also break it. Modern medicine has moved away from this oath in many ways. But new technologies that enable personalized medicine and a population-based approach to health will be the key to making Hippocrates' vision come true. Physicians today focus on specific diagnoses and specialized treatments, both of which were espoused by the Knidian school.