Graves being prepared for the victims of an airstrike on a school in Minab in southern Iran, 2 March 2026. Graves being prepared for the victims of an airstrike on a school in Minab in southern Iran, 2 March 2026. A photo of Iran's bombed schoolgirl graveyard went around the world. T he graves, freshly dug, lie in neat rows of 20 across. More than 60 have already been carved out of the earth, with a few clusters of people standing gathered around them.

Due to the increase in data availability in urban and regional studies, various spatial panel models have emerged to model spatial panel data, which exhibit spatial patterns and spatial dependencies between observations across time. Although estimation is usually based on maximum likelihood or generalized method of moments, these methods may fail to yield unique solutions if researchers are faced with high-dimensional settings. This article proposes a model-based gradient boosting algorithm, which enables estimation with interpretable results that is feasible in low- and high-dimensional settings. Due to its modular nature, the flexible model-based gradient boosting algorithm is suitable for a variety of spatial panel models, which can include random and fixed effects. The general framework also enables data-driven model and variable selection as well as implicit regularization where the bias-variance trade-off is controlled for, thereby enhancing accuracy of prediction on out-of-sample spatial panel data. Monte Carlo experiments concerned with the performance of estimation and variable selection confirm proper functionality in low- and high-dimensional settings while real-world applications including non-life insurance in Italian districts, rice production in Indonesian farms and life expectancy in German districts illustrate the potential application.

Ideally,languagemodelswould reflect the cultural norms of various regions around the world and generate culturally appropriate content when responding inlocallanguages oftheregions, unless otherwise specified.

Neolithic period to the Industrial Revolution and includes information reviewed and assembled by history experts and graduate research assistants.

Visual Question Answering (VQA) is an important task in multimodal AI, and it is often used to test the ability of vision-language models to understand and reason on knowledge present in both visual and textual data.

Indonesian rescuers have recovered wreckage from a missing plane that is believed to have crashed with 11 people on board while approaching a mountainous region on Sulawesi island during cloudy conditions. The discovery on Sunday comes after the small plane - on its way from Yogyakarta on Indonesia's main island of Java to Makassar, the capital city of South Sulawesi province - vanished from radar on Saturday. Rescuers on the ground then retrieved larger debris consistent with the main fuselage and tail scattered on a steep northern slope, Anwar told a news conference. "The discovery of the aircraft's main sections significantly narrows the search zone and offers a crucial clue for tightening the search area," Anwar said. "Our joint search and rescue teams are now focusing on searching for the victims, especially those who might still be alive." The plane, a turboprop ATR 42-500, was operated by Indonesia Air Transport and was last tracked in the Leang-Leang area of Maros, a mountainous district of South Sulawesi province.