Don't worry, you probably aren't swallowing spiders. Breakthroughs, discoveries, and DIY tips sent every weekday. All of us lay down every night and proceed to be completely unaware of what's happening in the waking world around us as we snooze. It shouldn't be surprising, then, that there are all kinds of myths about sleep. We have inaccurate ideas about what prevents us from sleeping, what helps us sleep, and what happens while we're sleeping.

The months since leaving the White House have shown that Musk has failed to abandon his political preoccupations. The months since leaving the White House have shown that Musk has failed to abandon his political preoccupations. The Tesla CEO once hinted he was done with politics - but he's been leaning further into the international far right When the far-right activist Tommy Robinson emerged from a London courtroom this week after a judge cleared him of a terrorism charge, he gave thanks to the man he said had bankrolled his defense. If you didn't step in and fund my legal fight I'd probably be in jail," Robinson said. In the period immediately after Musk's messy departure from the White House, the Tesla CEO repeatedly suggested that he was done with politics. Investors who had pushed him to refocus on his businesses were delighted. The months since, however, have proved that Musk has failed to abandon his political preoccupations. He has done the opposite, veering further into ...

Is Trump losing patience with Putin? Will sanctions against Russian oil giants hurt Putin? At least 10 people have been killed, and more parts of Ukraine have been plunged into darkness, after another night of intense Russian attacks across the country, local authorities said, as diplomatic momentum to end the nearly four-year war falters. Ukraine's military announced on Saturday morning that hundreds of Russian drones, as well as missiles launched from the air, ground and sea, targeted critical infrastructure, a frequent Kremlin target as another harsh winter of war looms. Most of the missiles went through defences, with only nine successfully shot down, but 406 of the drones were intercepted.

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Accurate segmentation of the left atrium (LA) from cardiac MRI is critical for guiding atrial fibrillation (AF) ablation and constructing biophysical cardiac models. Manual delineation is time-consuming, observer-dependent, and impractical for large-scale or time-sensitive clinical workflows. Deep learning methods, particularly convolutional architectures, have recently demonstrated superior performance in medical image segmentation tasks. In this study, we applied the nnU-Net framework, an automated, self-configuring deep learning segmentation architecture, to the Left Atrial Segmentation Challenge 2013 dataset. The dataset consists of thirty MRI scans with corresponding expert-annotated masks. The nnU-Net model automatically adapted its preprocessing, network configuration, and training pipeline to the characteristics of the MRI data. Model performance was quantitatively evaluated using the Dice similarity coefficient (DSC), and qualitative results were compared against expert segmentations. The proposed nnUNet model achieved a mean Dice score of 93.5, demonstrating high overlap with expert annotations and outperforming several traditional segmentation approaches reported in previous studies. The network exhibited robust generalization across variations in left atrial shape, contrast, and image quality, accurately delineating both the atrial body and proximal pulmonary veins.

Pediatric appendicitis remains one of the most common causes of acute abdominal pain in children, and its diagnosis continues to challenge clinicians due to overlapping symptoms and variable imaging quality. This study aims to develop and evaluate a deep learning model based on a pretrained ResNet architecture for automated detection of appendicitis from ultrasound images. We used the Regensburg Pediatric Appendicitis Dataset, which includes ultrasound scans, laboratory data, and clinical scores from pediatric patients admitted with abdominal pain to Children Hospital. Hedwig in Regensburg, Germany. Each subject had 1 to 15 ultrasound views covering the right lower quadrant, appendix, lymph nodes, and related structures. For the image based classification task, ResNet was fine tuned to distinguish appendicitis from non-appendicitis cases. Images were preprocessed by normalization, resizing, and augmentation to enhance generalization. The proposed ResNet model achieved an overall accuracy of 93.44, precision of 91.53, and recall of 89.8, demonstrating strong performance in identifying appendicitis across heterogeneous ultrasound views. The model effectively learned discriminative spatial features, overcoming challenges posed by low contrast, speckle noise, and anatomical variability in pediatric imaging.

Tesla plans to pay Musk $1tn - do they really need him that much? A great leader is a huge asset for company, of course, but can anyone be worth $1 trillion? That is the pay packet Tesla shareholders have approved for Elon Musk, as long as he meets the targets they have set over the next 10 years. In the meantime he won't collect a salary, but will presumably throw himself into his work with renewed vigour. He was certainly buzzing with energy as he jigged around the stage at the carmaker's Texas headquarters to rapturous applause, telling the audience that while other shareholder meetings were snoozefests, Tesla's are bangers.

The songbirds are even better at mimicking the'Star Wars' robot than parrots. Breakthroughs, discoveries, and DIY tips sent every weekday. Songbirds like parrots and parakeets might be well known for squeaking out embarrassing one-liners and certain four-letter words, but those aren't the only sounds they can mimic. Birds have been observed copying dog barks, car alarms, and even chainsaws . But it turns out some species are better equipped to copy the droid's high-pitched beeps and boops than others.

Nobel Prize-winning American scientist James Watson has died aged 97. His co-discovery of the structure of DNA opened the door to help explain how DNA replicates and carries genetic information, setting the stage for rapid advances in molecular biology. But his honorary titles were stripped in 2019 after he repeated comments about race and intelligence. In a TV programme, he made a reference to a view that genes cause a difference on average between blacks and whites on IQ tests. The death of Watson, who co-discovered the double-helix structure of DNA in 1953, was confirmed to the BBC by Cold Spring Harbor Laboratory, where he worked and researched for decades.

Jacob Elordi's portrayal of the monster in the Netflix movie is unlike we've ever seen him before. Enter your email to receive alerts for this author. You can manage your newsletter subscriptions at any time. You're already subscribed to the aa_Rebecca_Onion newsletter. You can manage your newsletter subscriptions at any time.