Science Biology Golden retrievers and humans share'striking' genetic similarities The same genes influence intelligence, anxiety, and depression in both species. Breakthroughs, discoveries, and DIY tips sent every weekday. You're likely not reading too much into your dog's mood: according to researchers at the University of Cambridge, certain genes influencing golden retriever behavior are also traceable to human emotions including intelligence, depression, and anxiety. "The findings are really striking," Eleanor Raffan, a neuroscience researcher and coauthor of a study published in the, said in a statement . "They provide strong evidence that humans and golden retrievers have shared genetic roots for their behavior."

Antisocial behavior (ASB) on social media -- including hate speech, harassment, and cyberbullying -- poses growing risks to platform safety and societal well-being. Prior research has focused largely on networks such as X and Reddit, while \textit{multi-party conversational settings} remain underexplored due to limited data. To address this gap, we use \textit{CyberAgressionAdo-Large}, a French open-access dataset simulating ASB in multi-party conversations, and evaluate three tasks: \textit{abuse detection}, \textit{bullying behavior analysis}, and \textit{bullying peer-group identification}. We benchmark six text-based and eight graph-based \textit{representation-learning methods}, analyzing lexical cues, interactional dynamics, and their multimodal fusion. Results show that multimodal models outperform unimodal baselines. The late fusion model \texttt{mBERT + WD-SGCN} achieves the best overall results, with top performance on abuse detection (0.718) and competitive scores on peer-group identification (0.286) and bullying analysis (0.606). Error analysis highlights its effectiveness in handling nuanced ASB phenomena such as implicit aggression, role transitions, and context-dependent hostility.

Can Ukraine restore its pre-war borders? Why are Tomahawk missiles for Ukraine a'red line' for Russia? Is Russia testing NATO with aerial incursions in Europe? Ukrainian President Volodymyr Zelenskyy has said he will travel to Washington, DC, to meet his US counterpart, Donald Trump, on Friday. The main topics to be discussed will be air defence and long-range capabilities, Zelenskyy said in a message on his Telegram channel.

Russia's foreign minister Sergei Lavrov says his country has no intention of attacking EU or Nato member states but warned of a decisive response to any aggression directed towards Moscow. In a wide-ranging speech delivered at the UN General Assembly on Saturday, Lavrov said threats against Russia by Western countries were becoming increasingly common. He also took aim at Israel, saying that while Russia condemned the 7 October 2023 attacks by Hamas, there was no justification for the brutal killings of Palestinians in Gaza, or for plans to annex the West Bank. Israel has previously said its Gaza operation is necessary to defeat Hamas. At least 65,926 people have been killed by Israeli strikes, according to the Hamas-run health ministry, while about 1,200 people were killed and 251 others were taken hostage in the 7 October attacks.

In the predawn darkness of June 13, Israel launched a "preemptive" attack on Iran. Explosions rocked various parts of the country. Among the targets were nuclear sites at Natanz and Fordo, military bases, research labs, and senior military residences. By the end of the operation, Israel had killed at least 974 people while Iranian missile strikes in retaliation had killed 28 people in Israel. Israel described its actions as anticipatory self-defence, claiming Iran was mere weeks away from producing a functional nuclear weapon.

Since his first day in office, President Donald Trump has mismanaged negotiations over an end to the war in Ukraine. More than 100 days later, innocent Ukrainians are still dying while the president gets played by Russian President Vladimir Putin – illustrated starkly by the barrages of drones and missiles continually aimed at Ukrainian cities as Trump posts online. It's good to hear Trump finally express some frustration toward Putin and admit that his negotiating tactics aren't working, that, as he says, Putin is "just tapping me along, and has to be dealt with differently." The reasons for this aren't complicated. Instead of increasing his leverage over Russa, Trump offered concession after concession before talks even began.

In the animal kingdom, having a big brain is usually linked with being smarter. But a new study by scientists in France shows this is not actually true when it comes to domestic dogs. They found that breeds with smaller brains respond best to training and have good short-term memory – two traits considered'clever' in dogs. Meanwhile, breeds with bigger brains scored higher for fear, aggression, attention-seeking behaviours and separation anxiety – traits linked with dimwittedness. So, if you've got a big dog such as a Retriever, Rottweiler or Siberian Husky, they're likely to have a smaller brain but higher brainpower.

Dementia is a neurodegenerative condition that combines several diseases and impacts millions around the world and those around them. Although cognitive impairment is profoundly disabling, it is the noncognitive features of dementia, referred to as Neuropsychiatric Symptoms (NPS), that are most closely associated with a diminished quality of life. Agitation and aggression (AA) in people living with dementia (PwD) contribute to distress and increased healthcare demands. Current assessment methods rely on caregiver intervention and reporting of incidents, introducing subjectivity and bias. Artificial Intelligence (AI) and predictive algorithms offer a potential solution for detecting AA episodes in PwD when utilized in real-time. We present a 5-year study system that integrates a multimodal approach, utilizing the EmbracePlus wristband and a video detection system to predict AA in severe dementia patients. We conducted a pilot study with three participants at the Ontario Shores Mental Health Institute to validate the functionality of the system. The system collects and processes raw and digital biomarkers from the EmbracePlus wristband to accurately predict AA. The system also detected pre-agitation patterns at least six minutes before the AA event, which was not previously discovered from the EmbracePlus wristband. Furthermore, the privacy-preserving video system uses a masking tool to hide the features of the people in frames and employs a deep learning model for AA detection. The video system also helps identify the actual start and end time of the agitation events for labeling. The promising results of the preliminary data analysis underscore the ability of the system to predict AA events. The ability of the proposed system to run autonomously in real-time and identify AA and pre-agitation symptoms without external assistance represents a significant milestone in this research field.