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 launched an air attack on Ukraine's capital, Kyiv, on Monday, killing one civilian in the first reported death in the city this year, according to the Ukrainian military. Russia's military also carried out drone attacks on northeastern Ukraine on Sunday, killing at least two people in the Sumy region and wounding three in the Kharkiv region, according to local officials.

The exponential growth of information presents a significant challenge for researchers and professionals seeking to remain at the forefront of their fields and this paper introduces an innovative framework for automatically generating insightful financial digests using the power of Large Language Models (LLMs), specifically Google's Gemini Pro. By leveraging a combination of data extraction from OpenAlex, strategic prompt engineering, and LLM-driven analysis, we demonstrate the automated example of creating a comprehensive digests that generalize key findings, identify emerging trends. This approach addresses the limitations of traditional analysis methods, enabling the efficient processing of vast amounts of unstructured data and the delivery of actionable insights in an easily digestible format. This paper describes how LLMs work in simple words and how we can use their power to help researchers and scholars save their time and stay informed about current trends. Our study includes step-by-step process, from data acquisition and JSON construction to interaction with Gemini and the automated generation of PDF reports, including a link to the project's GitHub repository for broader accessibility and further development.

Ukrainian officials have renewed their calls for more sanctions on Russia after Russian forces launched dozens of attack drones and ballistic missiles at Kyiv overnight ahead of a second exchange of soldiers and civilians. Ukraine's military on Saturday said overnight attacks launched from multiple Russian regions used 250 drones and 14 ballistic missiles to hit Kyiv, damaging several apartment buildings and a shopping mall, and injuring at least 15 people. Sites in the Ukrainian regions of Dnipropetrovsk, Odesa and Zaporizhia were also hit, with Ukrainian forces saying six of the ballistic missiles were shot down by its air defences, along with 245 drones, many of which were said to be Iranian-designed. Oleh Syniehubov, head of Kharkiv's regional state administration, said on Saturday morning that four Ukrainians were killed and several others injured over the past 24 hours in the region as a result of multiple Russian attacks. Meanwhile, Russia's Ministry of Defence on Saturday said at least 100 Ukrainian drones attempted to strike Russian targets overnight.

A Russian drone attack on the Black Sea port city of Odesa overnight injured three people, sparked fires and damaged homes and civilian infrastructure, regional governor Oleh Kiper said. Russia's Ministry of Defence said its units destroyed 26 Ukrainian drones overnight. Nine of the drones were shot down over the southern Voronezh region, while eight were taken down over the border region of Belgorod. The remaining drones were downed over the Kursk, Lipetsk and Moscow regions, as well as over the Russian-annexed Crimean peninsula, the ministry said. The Defence Ministry also said Russia has taken control of Kalynove village in Ukraine's eastern Donetsk region.

Russia's territorial gains in Ukraine are slowing down dramatically, two analyses have found, continuing a pattern from 2024 at a time when both nations are trying to project strength in the face of United States-mediated negotiations aimed at ending the war. Britain's Ministry of Defence last week estimated that Russian forces seized 143sq km (55sq miles) of Ukrainian land in March, compared with 196sq km (76sq miles) in February and 326sq km (126sq miles) in January. The Institute for the Study of War, a Washington, DC-based think tank, spotted the same trend, estimating Russian gains at 203sq km (78sq miles) in March, 354sq km (137sq miles) in February and 427sq km (165sq miles) in January. These estimates are based on satellite imagery and geolocated open-source photography rather than claims by either side. Should this trend continue, Russian forces could come to a standstill by early summer, roughly coinciding with US President Donald Trump's self-imposed early deadline for achieving a ceasefire.

United States defence secretary Lloyd Austin has waded in on reports that North Korea was preparing to enter the Ukraine war with troops. "If they are co-belligerents, if their intention is to participate in this war on Russia's behalf, that is a very, very serious issue," Austin said. Austin was returning from his fourth visit to Kyiv, where he announced a 400m package of US weapons for Ukraine. John Kirby, White House national security spokesman, said Washington believes that at least 3,000 North Korean soldiers arrived this month by sea to Vladivostok, Russia's largest Pacific port. "These soldiers then travelled onward to multiple Russian military training sites in eastern Russia, where they are currently undergoing training," Kirby said on Wednesday.

Ukraine has struck a manufacturer of military explosives deep inside Russian territory overnight, as well as storage infrastructure at a military airfield in the Lipetsk region, Kyiv's General Staff has said in a statement. For their part, Russian air defence units downed 110 Ukrainian drones over the country, Russia's Ministry of Defence said Sunday, including one over the Moscow region, 43 over the border region of Kursk, and 27 over the southwestern Lipetsk region. The Russian SHOT Telegram channel reported that drones attempted to strike the Ya. The explosives plant, one of the largest manufacturers of its kind used by Russian forces in the war that Moscow launched against Ukraine in February 2022, is subject to sanctions by the United States and the European Union. Such large-scale aerial attacks are still relatively rare on Russia. Kyiv's General Staff said in a post on Telegram the Sverdlov factory had been making chemical components for artillery ammunition and aerial bombs, adding that it was still assessing the damage from its attack.

Ukraine launched a series of drones targeting Moscow and western Russia, according to regional officials. Russian air defence units downed 110 Ukrainian drones over Russia, the Ministry of Defence said, including one over the Moscow region, 43 over the border region of Kursk, and 27 over the southwestern Lipetsk region. Russia's air defence units destroyed at least one drone flying towards the capital, Moscow Mayor Sergei Sobyanin said on the Telegram messaging app, while drone debris sparked several short-lived fires in Lipetsk, the regional governor said on the app. No injuries or significant damage were reported from the attacks. Four firefighters suffered minor shrapnel wounds in a Ukrainian drone attack in an industrial zone in the city of Dzerzhinsk in Russia's Nizhny Novgorod region, the regional governor said.

Kyiv, Ukraine – Russia's aerial attack on Ukraine was colossal. Moving in waves from several directions and at different speeds and heights, 127 missiles and 109 drones attacked 15 of Ukraine's 24 regions. The attack is being seen in Ukraine as Russian President Vladimir Putin's revenge for Kyiv's daring incursion into the western Russian region of Kursk that began in early August and has resulted in the apparent takeover of more than 1,000sq kilometres (386sq miles). "He is a vindictive person, he got offended," General Lieutenant Ihor Romanenko, ex-deputy head of the General Staff of Ukraine's Armed Forces, told Al Jazeera. The attack began in predawn darkness on Monday as buzzing swarms of explosives-laden heavy drones took off from the Azov Sea town of Yeisk in southwestern Russia.

Load data from power network clusters indicates economic development in each area, crucial for predicting regional trends and guiding power enterprise decisions. The Transformer model, a leading method for load prediction, faces challenges modeling historical data due to variables like weather, events, festivals, and data volatility. To tackle this, the cloud model's fuzzy feature is utilized to manage uncertainties effectively. Presenting an innovative approach, the Cloud Model Improved Transformer (CMIT) method integrates the Transformer model with the cloud model utilizing the particle swarm optimization algorithm, with the aim of achieving robust and precise power load predictions. Through comparative experiments conducted on 31 real datasets within a power network cluster, it is demonstrated that CMIT significantly surpasses the Transformer model in terms of prediction accuracy, thereby highlighting its effectiveness in enhancing forecasting capabilities within the power network cluster sector.