Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Russian forces began a "massive attack" on Ukraine on Monday night, killing three people and targeting 13 regions with 650 drones and 30 missiles, Ukrainian President Volodymyr Zelenskyy said in a post on X. Those killed in the overnight attack included a four-year-old girl in the central Zhytomyr region, Governor Vitalii Bunechko said on Telegram.

Three killed after Russia launches'massive' attack across Ukraine Russia carried out a massive overnight attack on several Ukrainian cities, President Volodymyr Zelensky has said, a day after he warned of strikes over the Christmas period. At least three people were killed, according to Ukrainian officials, including a four-year-old child, while energy infrastructure was also targeted, leaving several regions without power. Russia launched 635 drones and 38 missiles, Ukraine's air force said, adding that 621 of them were downed. Zelensky said people simply want to be with their families, at home, and safe in the run-up to Christmas, and said the strikes sent an extremely clear signal about Russia's priorities despite ongoing peace talks. He added that Russian President Vladimir Putin still cannot accept that he must stop killing.

Ramzan Kadyrov vows retaliation against Ukraine following drone attack on Grozny building, while Ukrainian officials say Zelenskyy remains unafraid of threats.

What is in the 28-point US plan for Ukraine? 'Ukraine is running out of men, money and time' Can the US get all sides to end the war? Why is Europe opposing Trump's peace plan? Here's where things stand on Wednesday, December 3: Russian forces attacked Ukraine's Kherson region, using "rocket launchers, mortars and drones", killing a 76-year-old woman and injuring at least two other people, the Kherson Regional Prosecutor's Office said in a post on Telegram. A Russian drone attack killed one person and injured five people in the eastern Ukrainian city of Kramatorsk, the head of the city's military administration, Oleksandr Honcharenko, wrote on Facebook.

Senior Pentagon officials have arrived in Ukraine to discuss efforts to end the war with Russia, the US military has said. The team, led by US Army Secretary Dan Driscoll, is expected to meet Ukrainian President Volodymyr Zelensky in Kyiv on Thursday when he returns from a trip to Turkey. Reports began surfacing on Wednesday that the US and Russia had prepared a new peace plan, containing major concessions from Ukraine. Neither Washington nor Moscow has officially confirmed the plan. Earlier in the day, at least 26 people were killed in a Russian missile and drone attack on Ukraine's western city of Ternopil, officials there said.

Is the fall of Pokrovsk inevitable? Is Trump losing patience with Putin? At least 19 people have been killed and dozens wounded in Russian drone and missile attacks across Ukraine, according to the country's emergency service. The attack came overnight on Wednesday, as President Volodymyr Zelenskyy was due to arrive in Turkiye, where he hopes to revive talks over ending the war caused by Russia's full-scale invasion two years ago. Effective sanctions and assistance to Ukraine can change this," the president said in a social media post on Wednesday, calling for air defence missile aid from allies.

Nine people have been killed and dozens more wounded in a Russian attack on the western city of Ternopil, Ukraine's president Volodymyr Zelensky has said. Nine-storey blocks of flats were hit in the strikes, as Russia fired more than 470 drones and 47 missiles at Ukraine overnight in a brazen attack, Zelensky said. Three districts of Ukraine's second city, Kharkiv, were also hit by a massive drone attack which injured more than 30 people, including children. Photos posted online showed buildings and cars ablaze. Power cuts are affecting a number of regions across the country, Ukraine's energy ministry said.

In recent years, machine learning (ML) techniques have become a powerful tool for improving the accuracy of predictions and decision-making. Machine learning technologies have begun to penetrate all areas, including the real estate sector. Correct forecasting of real estate value plays an important role in the buyer-seller chain, because it ensures reasonableness of price expectations based on the offers available in the market and helps to avoid financial risks for both parties of the transaction. Accurate forecasting is also important for real estate investors to make an informed decision on a specific property. This study helps to gain a deeper understanding of how effective and accurate ensemble machine learning methods are in predicting real estate values. The results obtained in the work are quite accurate, as can be seen from the coefficient of determination (R^2), root mean square error (RMSE) and mean absolute error (MAE) calculated for each model. The Gradient Boosting Regressor model provides the highest accuracy, the Extra Trees Regressor, Hist Gradient Boosting Regressor and Random Forest Regressor models give good results. In general, ensemble machine learning techniques can be effectively used to solve real estate valuation. This work forms ideas for future research, which consist in the preliminary processing of the data set by searching and extracting anomalous values, as well as the practical implementation of the obtained results.

At least four people were killed and 20 were wounded in multiple Russian missile and drone attacks overnight on the Ukrainian capital, Kyiv, local officials have said. Kyiv mayor Vitali Klitschko said on Friday morning search and rescue operations were continuing in several locations. Among the wounded, 16 were admitted to hospital. Ukrainian authorities said Russian forces launched 407 drones and 45 missiles, including cruise and ballistic missiles, of which they succeeded in destroying, respectively, around 200 and 30. "It was a very frightening night. We heard some of the drones go over this area in central Kyiv, giant explosions ringing out across the city, some so loud that they were shaking the glass here of our hotel, we've seen pictures of people who took shelter in the metro stations underground and underground car parks," said Al Jazeera's Charles Stratford, reporting from the Ukrainian capital.

In the current study, the fatigue life of QSTE340TM steel was modelled using a machine learning method, namely, a neural network. This problem was solved by a Multi-Layer Perceptron (MLP) neural network with a 3-75-1 architecture, which allows the prediction of the crack length based on the number of load cycles N, the stress ratio R, and the overload ratio Rol. The proposed model showed high accuracy, with mean absolute percentage error (MAPE) ranging from 0.02% to 4.59% for different R and Rol. The neural network effectively reveals the nonlinear relationships between input parameters and fatigue crack growth, providing reliable predictions for different loading conditions.