Unlike most primary headaches, secondary headaches need specialized care and can have devastating consequences if not treated promptly. Clinical guidelines highlight several 'red flag' features, such as thunderclap onset, meningismus, papilledema, focal neurologic deficits, signs of temporal arteritis, systemic illness, and the 'worst headache of their life' presentation. Despite these guidelines, determining which patients require urgent evaluation remains challenging in primary care settings. Clinicians often work with limited time, incomplete information, and diverse symptom presentations, which can lead to under-recognition and inappropriate care. We present a large language model (LLM)-based multi-agent clinical decision support system built on an orchestrator-specialist architecture, designed to perform explicit and interpretable secondary headache diagnosis from free-text clinical vignettes. The multi-agent system decomposes diagnosis into seven domain-specialized agents, each producing a structured and evidence-grounded rationale, while a central orchestrator performs task decomposition and coordinates agent routing. We evaluated the multi-agent system using 90 expert-validated secondary headache cases and compared its performance with a single-LLM baseline across two prompting strategies: question-based prompting (QPrompt) and clinical practice guideline-based prompting (GPrompt). We tested five open-source LLMs (Qwen-30B, GPT-OSS-20B, Qwen-14B, Qwen-8B, and Llama-3.1-8B), and found that the orchestrated multi-agent system with GPrompt consistently achieved the highest F1 scores, with larger gains in smaller models. These findings demonstrate that structured multi-agent reasoning improves accuracy beyond prompt engineering alone and offers a transparent, clinically aligned approach for explainable decision support in secondary headache diagnosis.

Environment Animals Insects This bug uses'red flags' to tell predators to buzz off The tropical Matador bug's fancy dance is not a mating ritual. Breakthroughs, discoveries, and DIY tips sent every weekday. In the forests of Panama, the matador bug () frequently looks like it is waving . The insect uses the red flag-looking appendages on its hind legs to perform an intricate and mysterious display. Now, we have even more evidence that this funky leg dance has a serious purpose-telling predators to buzz off.

Choosing what pictures to include in your online dating profile is a big deal. Most people want to present a decent mix of flattering, fun and relaxed photos that showcase the best of you. But there are some in particular that should be avoided at all costs, experts say. A team from dating app Wisp asked 1,200 people for their biggest photo red flags that make them swipe left. The survey revealed 83 per cent of singles judge profiles on photos before reading a single word of your personal bio.

Pennsylvania Secretary of State Al Schmidt said mail-in ballots cannot be counted until 7 a.m. on Election Day under state law preventing pre-canvassing, so voters should not expect the final results to be available on election night. Elections are one of the most crucial parts of any democracy, and unfortunately that also means bad actors try to twist things for their own gain. With the U.S. general elections just around the corner, cybersecurity risks are ramping up, not just to the systems running the election but also to you. Social media and the internet are being used to spread propaganda and sway your opinions. What's even more concerning is that these campaigns are now powered by AI tools, making it very easy for bad actors to churn out misleading information at lightning speed and on a huge scale.

With the iOS 18 update coming this fall, it's like Apple had adulterers in mind. You can lock and even hide apps using your Face ID - a feature many have dubbed a'cheater's paradise.' I guarantee many coupled-up folks will'hide' dating apps or their preferred secret communication methods. Cheaters always find a way to sneak around, but not all are savvy enough to know about all the tech clues their wayward ways leave behind. Now, before we get to the clues… Snooping on someone's phone, computer or other tech never ends well.

Automated scientific discovery promises to accelerate progress across scientific domains. However, developing and evaluating an AI agent's capacity for end-to-end scientific reasoning is challenging as running real-world experiments is often prohibitively expensive or infeasible. In this work we introduce DISCOVERYWORLD, the first virtual environment for developing and benchmarking an agent's ability to perform complete cycles of novel scientific discovery. DISCOVERYWORLD contains a variety of different challenges, covering topics as diverse as radioisotope dating, rocket science, and proteomics, to encourage development of general discovery skills rather than task-specific solutions. DISCOVERYWORLD itself is an inexpensive, simulated, text-based environment (with optional 2D visual overlay). It includes 120 different challenge tasks, spanning eight topics each with three levels of difficulty and several parametric variations. Each task requires an agent to form hypotheses, design and run experiments, analyze results, and act on conclusions. DISCOVERYWORLD further provides three automatic metrics for evaluating performance, based on (a) task completion, (b) task-relevant actions taken, and (c) the discovered explanatory knowledge. We find that strong baseline agents, that perform well in prior published environments, struggle on most DISCOVERYWORLD tasks, suggesting that DISCOVERYWORLD captures some of the novel challenges of discovery, and thus that DISCOVERYWORLD may help accelerate near-term development and assessment of scientific discovery competency in agents. Code available at: www.github.com/allenai/discoveryworld

Many people have had suspicions that their partner was cheating, but have questioned whether those feelings had any weight or were just their minds playing tricks on them. A'love rat' investigator, who only works for women, has shared her'loyalty check' that she claims will uncover breadcrumbs that leads to catching an unfaithful man. The check includes certain apps on their phone, files on their computer and how they use Google search. 'If the guy has a history of being secretive, that answer is almost always'Yes,'' she told DailyMail.com. 'Based on his personality, his profile, and things like that, I will approach them in the way that I think will work the best.'

A single man from Michigan recounted in a viral video how he nearly gave up on dating entirely and went "mentally insane" after a woman he met on an online dating app committed a heist on the date, earning the nickname "Felony Melanie." After reviewing security footage from the restaurant – he's convinced he may have finally solved the mystery of what really happened and why his eye is slightly red. I may take a sabbatical from going on internet dates," influencer Ryan Michael Annese said. The date nightmare story went viral on TikTok, amassing over 3 million views. "I doubt any of you guys can top it.