🤖 Tech & Computer Science

Framer: Interactive Frame Interpolation

The Framer model is designed for interactive frame interpolation, enabling smooth transitions between two images with enhanced control. By customizing keypoint trajectories, users can influence motion details and manage challenging transformations, like differing shapes or styles. An "autopilot" mode estimates and refines keypoints automatically, simplifying the process. Framer is useful for tasks like image morphing and time-lapse generation, offering extensive flexibility and control over the interpolation process. The code and interface will be released to support further research and development.

Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles

The DLBITM-AMD model is designed to enhance Android malware detection in autonomous vehicles (AVs), addressing security concerns tied to the Android OS in these systems. This approach uses deep learning to identify malware accurately, employing Z-score normalization and binary grey wolf optimization (BGWO) for feature selection. Integrating a transformer with an RNN model and a softmax layer, plus a snake optimizer for parameter tuning, DLBITM-AMD achieves 99.26% accuracy, surpassing existing models for AV Android malware detection.

⚛️ Physics and Chemistry

Successful experiment paves the way for discovery of a new element

Researchers, including those from Lund University, have developed a new detection method for observing the element livermorium, marking a step toward creating superheavy elements like element 120. This discovery, part of experiments conducted at Berkeley Lab, aims to approach the "island of stability," a theoretical region where superheavy elements may have extended stability. Lund University’s SHREC detector, central to the experiment, enabled this observation of livermorium within eight days, suggesting promising experimental settings for further exploration.

Eco-friendly graphene composite recovers gold from e-waste

Researchers from Singapore, the UK, and China have developed a composite material made of graphene oxide and chitosan that extracts gold from e-waste ten times more efficiently than previous methods. This environmentally friendly material doesn’t require an external power source and could help reduce e-waste volume and reliance on gold mining. Graphene’s high surface area aids adsorption, while chitosan facilitates the catalytic reduction of ionic gold, offering a more sustainable and efficient recovery process compared to traditional methods.

🧬 Biology & Medicine

New 3D body scan method beats traditional imaging for tracking body fat

A recent study published in npj Digital Medicine introduces a new method for predicting body composition using 3D body shapes, aiming to address chronic disease risk without the need for advanced imaging. Traditional measures like BMI and waist-hip ratios lack accuracy in differentiating fat and lean mass, often requiring specialized staff and in-person visits. The study underscores the need for accessible, affordable tools to accurately assess body composition in broader clinical and public contexts.

More Evidence Ties Semaglutide to Reduced Alzheimer’s Risk

A recent study suggests that the diabetes and obesity drug semaglutide may reduce the risk of Alzheimer’s disease (AD). Using electronic health records, researchers found that patients prescribed semaglutide had a significantly lower risk of developing AD over three years compared to patients on other antidiabetic medications. The findings support further trials to explore semaglutide’s potential in preventing AD, as the drug has shown neuroprotective effects in animal models by reducing beta-amyloid and improving memory and glucose metabolism in the brain.

🔭 Space & Astronomy

Scientists discover molecules that store much of the carbon in space

MIT scientists have identified pyrene, a large carbon-based molecule, in the interstellar cloud TMC-1. This molecule could account for a significant carbon reservoir in space, potentially supporting theories that such carbon-rich molecules contributed to the early chemical makeup of our solar system. The discovery, made using the Green Bank Telescope, highlights pyrene's potential as a key carbon source in cosmic environments, advancing our understanding of star and planet formation.

Chinese company Deep Blue Aerospace plans to start launching space tourists in 2027

MIT scientists discovered pyrene, a carbon-based molecule, in the TMC-1 interstellar cloud. This molecule may serve as a carbon reservoir in space, supporting theories that such molecules contributed to the solar system's early chemistry. Using the Green Bank Telescope, the finding sheds light on carbon’s role in star and planet formation.

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