Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The FBI on Wednesday shared a wanted poster for Chinese national Baoxia "Emily" Liu, adding that the State Department is offering a reward of up to 15 million for information on her and others accused of smuggling U.S. drone weapons to Iran. Liu and three other fellow Chinese nationals were charged by President Joe Biden's Justice Department in January 2024 in an alleged years-long conspiracy in which they unlawfully exported and smuggled U.S. export-controlled items through China and Hong Kong to entities affiliated with Iran's Islamic Revolutionary Guard Corps (IRGC) and Ministry of Defense and Armed Forces Logistics (MODAFL), which supervises production of Tehran's missiles, weapons, and Unmanned Aerial Vehicles (UAVs). Her co-defendants are Li Yongxin, also known as "Emma Lee;" Yung Yiu Wa, also known as "Stephen Yung;" and Zhong Yanlai, also known as Sydney Chung.

At Tehran's Amirkabir University, authorities installed facial recognition software at its entrance gate to also find women not wearing the hijab, the report said. Surveillance cameras on Iran's major roads are also being used to search for uncovered women. Investigators also said they obtained the "Nazer" mobile phone app offered by Iranian police, which allows "vetted" members of the public and the police to report on uncovered women in vehicles, including ambulances, buses, metro cars and taxis. "Users may add the location, date, time and the licence plate number of the vehicle in which the alleged mandatory hijab infraction occurred, which then'flags' the vehicle online, alerting the police," the report said. According to the report, a text message is then sent to the registered owner of the vehicle, warning them they had been found in violation of the mandatory hijab laws.

Tehran, Iran – Iran's army and Islamic Revolutionary Guard Corps (IRGC) have been showcasing and testing new defensive and offensive weapons in large-scale military exercises for the past three months. The country is preparing for another tumultuous year amid threats by the United States and Israel to bomb Iranian nuclear facilities, critical energy infrastructure, and military sites. Iran is also promising a third iteration of its major military strikes on Israel, in retaliation for Israeli attacks amid the devastating war on Gaza. The exercises – Eqtedar, Zolfaqar and Great Prophet – have been held across Iran, the Sea of Oman and the northern Indian Ocean. The weapons tested show Iran intends to maintain its defiance of Israel and the West, refusing to negotiate with US President Donald Trump under his "maximum pressure" policy and continuing to advance its nuclear programme.

Tehran, Iran – Iran's Foreign Ministry and judiciary have confirmed that Iranian national Mohammad Abedini, who was arrested in Italy at the behest of the United States, has been released. Abedini was returned to Tehran after being arrested as part of a "misunderstanding", Mizan, the official news outlet of the judiciary, said on Sunday. The report, also aired by state television, said his release was secured after talks between the Iranian intelligence ministry and the Italian intelligence service. Foreign Ministry spokesman Esmaeil Baghaei in a short statement welcomed the release of the Iranian national, who is accused by Washington of involvement with a January 2024 drone attack on a US outpost in Jordan that killed three American soldiers. He stressed the ministry would defend the rights of Iranian nationals abroad.

In rapidly urbanizing regions, designing climate-responsive urban forms is crucial for sustainable development, especially in dry arid-climates where urban morphology has a significant impact on energy consumption and environmental performance. This study advances urban morphology evaluation by combining Urban Building Energy Modeling (UBEM) with machine learning methods (ML) and Explainable AI techniques, specifically Shapley Additive Explanations (SHAP). Using Tehran's dense urban landscape as a case study, this research assesses and ranks the impact of 30 morphology parameters at the urban block level on key energy metrics (cooling, heating, and lighting demand) and environmental performance (sunlight exposure, photovoltaic generation, and Sky View Factor). Among seven ML algorithms evaluated, the XGBoost model was the most effective predictor, achieving high accuracy (R2: 0.92) and a training time of 3.64 seconds. Findings reveal that building shape, window-to-wall ratio, and commercial ratio are the most critical parameters affecting energy efficiency, while the heights and distances of neighboring buildings strongly influence cooling demand and solar access. By evaluating urban blocks with varied densities and configurations, this study offers generalizable insights applicable to other dry-arid regions. Moreover, the integration of UBEM and Explainable AI offers a scalable, data-driven framework for developing climate-responsive urban designs adaptable to high-density environments worldwide.

Floods are among the most prevalent and destructive natural disasters, often leading to severe social and economic impacts in urban areas due to the high concentration of assets and population density. In Iran, particularly in Tehran, recurring flood events underscore the urgent need for robust urban resilience strategies. This paper explores flood resilience models to identify the most effective approach for District 6 in Tehran. Through an extensive literature review, various resilience models were analyzed, with the Climate Disaster Resilience Index (CDRI) emerging as the most suitable model for this district due to its comprehensive resilience dimensions: Physical, Social, Economic, Organizational, and Natural Health resilience. Although the CDRI model provides a structured approach to resilience measurement, it remains a static model focused on spatial characteristics and lacks temporal adaptability. An extensive literature review enhances the CDRI model by integrating data from 2013 to 2022 in three-year intervals and applying machine learning techniques to predict resilience dimensions for 2025. This integration enables a dynamic resilience model that can accommodate temporal changes, providing a more adaptable and data driven foundation for urban flood resilience planning. By employing artificial intelligence to reflect evolving urban conditions, this model offers valuable insights for policymakers and urban planners to enhance flood resilience in Tehrans critical District 6.

In an address to the 79th United Nations General Assembly Tuesday, Iranian President Masoud Pezeshkian claimed to be the one playing peacemaker in the Middle East and, in a juxtaposition, accused Israel of supporting terrorism. Pezeshkian called on the U.N. to "examine" modern history and said, "Iran has never initiated a war. It has only defended itself heroically against external aggression, causing the aggressors to regret their actions," Pezeshkian said, adding that Iran does not "occupy" territory or exploit resources for other countries. "It has repeatedly offered various proposals to its neighbors and international fora aimed at establishing lasting peace and stability," he said. "We have emphasized the importance of unity in the region and establishing a strong region." Iran's President Masoud Pezeshkian walks, on the sidelines of the 79th United Nations General Assembly at U.N. headquarters in New York, U.S., September 24, 2024.

JERUSALEM - The Iranian regime's plot to assassinate former President Trump is the latest in a string of attempts by Tehran to lethally target American officials and Iranian American dissidents. Iranian Supreme Leader Ali Khamenei has effectively put bounties on the heads of Trump, his former Secretary of State Mike Pompeo and ex-National Security Advisor John Bolton for their roles in the U.S. drone strike that eliminated the global Iranian terrorist Qassem Soleimani in 2020. According to the U.S. government, Soleimani was responsible for the murders of over 600 American military personnel in the Middle East. BOLTON CALLS IRAN ASSASSINATION PLOT AN'ACT OF WAR,' CALLS ON BIDEN ADMIN TO'TERMINATE' NUCLEAR TALKS Former President Trump, left, and Iranian leader Ali Khamenei. Fox News Digital reported on Tuesday that the Department of Homeland Security received intelligence from a human source about the planned Iranian assassination of Trump.

The Lebanese militant group Hezbollah claimed responsibility for a cross-border drone and missile attack in northern Israel on Wednesday that the Israeli military said had injured 14 soldiers, six of them severely. It was one of the most damaging attacks in recent months by Hezbollah, Iran's most powerful regional proxy, in its continuing clashes with Israel. The attack came a day after Israel's targeted killing of two Hezbollah commanders as fears continue to grow of a broader conflict between Israel and Tehran, which mounted a wide aerial attack on Israel over the weekend. An internal Israeli army memo said an initial investigation found that Hezbollah had fired two anti-tank rockets at an Israeli Bedouin border village, Arab al-Aramshe, before dispatching an exploding drone. An Israeli military spokeswoman declined to comment on the memo.

Tehran, Iran – Israel has pledged to "exact a price" from Iran in response to missile and drone attacks launched by Tehran in retaliation to the deadly bombing of its consulate in Syria at the beginning of this month. Israel's war cabinet has met several times to debate a course of action to complement a diplomatic push against Iran since Saturday's unprecedented direct attacks on Israel, with Israeli army chief of staff Herzi Halevi saying a military response is certain. Iranian President Raisi threatened a "massive and harsh response" on Wednesday if Israel decides to launch a direct military assault on Iranian soil. So how effectively can Iran defend itself if such an attack occurs? For decades, Iran has increasingly insisted on relying on its local capabilities when it comes to its economy, but a similar push can also be seen in its military sector.