Ukraine bade farewell to legendary fighter pilot Andriy Pilshchykov, known by his call sign "Juice", who was killed with two other pilots during a training flight last week. A Ukrainian flag was draped over 29-year-old Pilshchykov's coffin and his cap placed on top. Russian forces shot down two Ukrainian drones over the Black Sea, the Russian state RIA news agency reported citing the Ministry of Defence. The mission of Ukraine's president in Russian-occupied Crimea said that Moscow was preparing to start a new round of mobilisation for the Russian army in the territory. The United Kingdom's defence ministry said Russia had boosted salaries and benefits for its soldiers making military service "increasingly lucrative".

Russian air defences shot down three Ukrainian drones flying over the Russian regions of Tula and Belgorod, the Ministry of Defence has reported, in the latest attempted attacks on targets inside Russian territory. Two drones "were destroyed" by air defences over the Tula region south of Moscow, the defence ministry said in a statement on the Telegram messaging app early on Tuesday morning. Another drone was "destroyed by air defence forces" over the Belgorod region, which borders Ukraine, at about 11pm Moscow time (20:00 GMT) on Monday, the ministry said in a separate statement. The ministry did not say whether there had been damage or casualties as a result of the drone raids. Moscow and other Russian regions have been hit by a barrage of Ukrainian drone attacks in recent weeks with Ukrainian President Volodymyr Zelenskyy saying late last month that the war would be returning to Russia.

Russia's defence ministry has said its air defence forces destroyed a large-scale Ukrainian-launched drone attack on the Crimean Peninsula, which Moscow annexed from Ukraine in 2014. Crimea has been targeted by Kyiv since Moscow launched its full-scale invasion of Ukraine in February 2022, but has come under more intense, increased attacks in recent weeks. The Russian Ministry of Defence said early on Friday its forces shot down nine drones, while 33 others "were suppressed by electronic warfare and crashed without reaching the target". It did not elaborate on whether there had been any damage or casualties. It added that it had also shot down a Ukraine-launched missile over the Kaluga region, which borders the Moscow region.

Logs are valuable information for oil and gas fields as they help to determine the lithology of the formations surrounding the borehole and the location and reserves of subsurface oil and gas reservoirs. However, important logs are often missing in horizontal or old wells, which poses a challenge in field applications. In this paper, we utilize data from the 2020 machine learning competition of the SPWLA, which aims to predict the missing compressional wave slowness and shear wave slowness logs using other logs in the same borehole. We employ the NGBoost algorithm to construct an Ensemble Learning model that can predicate the results as well as their uncertainty. Furthermore, we combine the SHAP method to investigate the interpretability of the machine learning model. We compare the performance of the NGBosst model with four other commonly used Ensemble Learning methods, including Random Forest, GBDT, XGBoost, LightGBM. The results show that the NGBoost model performs well in the testing set and can provide a probability distribution for the prediction results. In addition, the variance of the probability distribution of the predicted log can be used to justify the quality of the constructed log. Using the SHAP explainable machine learning model, we calculate the importance of each input log to the predicted results as well as the coupling relationship among input logs. Our findings reveal that the NGBoost model tends to provide greater slowness prediction results when the neutron porosity and gamma ray are large, which is consistent with the cognition of petrophysical models. Furthermore, the machine learning model can capture the influence of the changing borehole caliper on slowness, where the influence of borehole caliper on slowness is complex and not easy to establish a direct relationship. These findings are in line with the physical principle of borehole acoustics.

A Ukrainian strike destroyed a missile complex in Russian-occupied Crimea on Wednesday, August 23, Ukraine's military intelligence agency said. Russia and Ukraine launched drone strikes against each other Wednesday morning, each looking to score a major win in a fight that continues to drag on with little progress or end in sight. Ukrainian intelligence claimed to have destroyed a Russian S-400 surface-to-air missile defense system in Crimea, while Russia struck grain facilities in Odesa overnight Tuesday. The S-400 system shows another instance of Ukraine's plan to strike at Russian assets, even behind the front line. Ukraine's intelligence agency GUR claimed on its Telegram channel that Russia has a "limited number" of sophisticated systems left and that this loss strikes a "painful blow" to their forces.

General Oleksandr Tarnavskyi, the deputy commander of Ukrainian forces in the south, said Ukraine's troops had gained a footing in the southeastern village of Robotyne and were organising the evacuation of civilians. Oleksandr Prokudin, the governor of Ukraine's Kherson region, said an elderly woman was killed and a 55-year-old man injured in Russian air attacks. A drone raid was reported in Moscow, forcing a temporary halt to air traffic at Vnukovo, Sheremetyevo and Domodedovo airports. City Mayor Sergei Sobyanin said Russian air defence systems shot down the two drones west of the capital and blamed Ukraine. Russia's Air Force said it scrambled two jets against two drones flying near the Crimean Peninsula, which it annexed in 2014.

Russian air defence systems have brought down two combat drones west of the Russian capital, Moscow mayor Sergei Sobyanin said. The drones were downed early on Tuesday over the Moscow region's towns of Krasnogorsk and the settlement of Chastsy, Sobyanin said. One in the Krasnogorsk area, the other in the Chastsy area," he Sobyanin said on the Telegram messaging app, adding that emergency services were responding. The Moscow mayor did not give details on damage or casualties in what is the latest attempted drone raid on the Russian capital. Air traffic at Moscow's Vnukovo, Sheremetyevo and Domodedovo airports was briefly halted, Russia's state news agency TASS reported, quoting an aviation service source as saying. "Glass damage was recorded on several floors" in a multi-storey residential building in Krasnogorsk," the news agency said, without specifying whether it was the result of a drone strike.

Data-driven, deep-learning modeling frameworks have been recently developed for forecasting time series data. Such machine learning models may be useful in multiple domains including the atmospheric and oceanic ones, and in general, the larger fluids community. The present work investigates the possible effectiveness of such deep neural operator models for reproducing and predicting classic fluid flows and simulations of realistic ocean dynamics. We first briefly evaluate the capabilities of such deep neural operator models when trained on a simulated two-dimensional fluid flow past a cylinder. We then investigate their application to forecasting ocean surface circulation in the Middle Atlantic Bight and Massachusetts Bay, learning from high-resolution data-assimilative simulations employed for real sea experiments. We confirm that trained deep neural operator models are capable of predicting idealized periodic eddy shedding. For realistic ocean surface flows and our preliminary study, they can predict several of the features and show some skill, providing potential for future research and applications.

Global warming's impact on high temperatures in various parts of the world has raised concerns. This study investigates long-term temperature trends in four major Ghanaian cities representing distinct climatic zones. Using NASA's Prediction of Worldwide Energy Resource (POWER) data, statistical analyses assess local climate warming and its implications. Linear regression trend analysis and eXtreme Gradient Boosting (XGBoost) machine learning predict temperature variations. Land Surface Temperature (LST) profile maps generated from the RSLab platform enhance accuracy. Results reveal local warming trends, particularly in industrialized Accra. Demographic factors aren't significant. XGBoost model's low Root Mean Square Error (RMSE) scores demonstrate effectiveness in capturing temperature patterns. Wa unexpectedly has the highest mean temperature. Estimated mean temperatures for mid-2023 are: Accra 27.86{\deg}C, Kumasi 27.15{\deg}C, Kete-Krachi 29.39{\deg}C, and Wa 30.76{\deg}C. These findings improve understanding of local climate warming for policymakers and communities, aiding climate change strategies.

A Ukrainian military drone has damaged a building in central Moscow, causing an explosion that was heard across the city's business district in the latest attack on the Russian capital by unmanned aerial vehicles. Moscow Mayor Sergei Sobyanin said in a statement on the Telegram messaging app that air defence systems had shot down a drone early on Friday morning and debris had fallen on the city's Expo Center. The Expo Center – a large event space used for major exhibitions – is located less than 5km (3.1 miles) from the Kremlin. A video published by Russian media outlets showed thick smoke rising next to skyscrapers in the city. The Russian defence ministry said that Ukraine launched the drone attack at about 4am local time (01:00 GMT) "using an unmanned aerial vehicle against objects located in Moscow and the Moscow region".