This study proposes BioPINN-LM, a hybrid framework for rapid wall-stress prediction and conversational risk interpretation in ascending thoracic aortic aneurysms. The framework outperforms baseline models and achieves high accuracy in wall-stress prediction and conversational decision support.
Researchers investigated the influence of thermocapillary convection on phase-change material melting under varying gravity conditions. The study found that aspect ratio is a key factor in determining the dominant convective regime, with thermocapillary effects dominating in flat cavities and natural convection dominating in cavities w...
The study proposes an electric ignition scheme for ADN-based thrusters, eliminating the need for catalysts and preheating, and achieving rapid cold-start ignition. The results show that the thruster achieves stable combustion at room temperature, with optimal ignition voltage identified as 80 V.
A deep learning model called IncResUnet detects plasma bubbles in the ionosphere with high accuracy. The model achieved an F1-score of 0.914 on the FORMOSAT-1 test set and outperformed traditional threshold methods.
Researchers propose a new numerical method for binary asteroid systems, achieving numerical accuracy and structure preservation. The method outperforms existing methods in energy conservation and orthogonality preservation, making it suitable for long-term predictions and planetary defense mission planning.
A new pre-rerouting strategy ensures seamless service continuity in LEO satellite networks by redefining routing metrics to account for link effective duration and available bandwidth. The strategy achieves a packet loss rate of 1% compared to 7% with conventional rerouting schemes.
The Apophis asteroid will make a rare 38,000 km flyby of Earth in 2029, offering a unique chance for planetary science and defense. The flyby will provide direct evidence for the structural evolution of rubble-pile asteroids and demonstrate the feasibility of various exploration modes.
A novel hierarchical motion planning method combines goal-biased RRT with sequential convex programming to plan high-quality trajectories for space redundant manipulators. The proposed method successfully satisfies obstacle avoidance, end-effector line-of-sight constraints, and joint torque limits, converging in 17 and 18 iterations fo...
A new strategy design method for multi-aspect information acquisition of non-cooperative targets is proposed using sequential coalition game theory. The method combines four close-range operation models to achieve efficient acquisition of multi-aspect payload information under minimum fuel constraints.
The 2029 Apophis flyby will offer a unique opportunity for planetary science and defense against a potentially hazardous asteroid. The event will provide insights into Apophis' physical state and expected effects on its orbit and spin, as well as potential surface material displacement and internal structural response.
The bionic multichannel whisker system provides spatial coverage for fine surface interrogation and radial collision detection, improving shape reconstruction and force estimation. The system's calibration framework and low-computational-overhead correction ensure cross-channel consistency and reliability.
A single-source dual-drive flexible knee assistive exoskeleton was designed to support older adults in real daily walking scenarios. The system can recognize multiple daily locomotion patterns and provide appropriate assistive torque in real time, reducing users' movement burden and improving balance and mobility.
A wearable ultrasound patch with a semi-supervised segmentation network and a dedicated clinical predictor is developed for noninvasive central venous pressure monitoring in ICU patients. The system achieved high accuracy in detecting elevated CVP, with IJV Max Area and IJV Ratio as dominant predictors.
The robot combines two biomimetic strategies to achieve exceptional speed, load capacity, and maneuverability. It maintains high speed under heavy loads and has impressive energy efficiency.
A new AI-driven EMG control framework has been developed to improve elderly assistance. The framework uses a 3-level approach to translate EMG signals into robotic assistive actions across various levels. It shows improved results in physiological signal labeling, functional multijoint intent decoding, and behavioral task adaptation.
A recent study found that recurrent heatwave exposure is linked to accelerated biological aging in middle-aged and older adults. The research, using data from the China Health and Retirement Longitudinal Study, discovered that increased heatwave frequency and duration lead to disruptions in lipid and glucose metabolism, ultimately acce...
During early simulated microgravity, cerebral blood flow changes are closely associated with upstream macrovascular hemodynamics in internal carotid and vertebral arteries. The study found that regional cerebral blood flow alterations are independently predicted by vertebral artery hemodynamic parameters.
Researchers propose a multiple-moon-aided Jovian capture method utilizing solar gravity perturbation (SGP) to reduce velocity increments. The study uses four dynamic models and computes datasets to analyze the mechanism of SGP, revealing its influence on perijove radius change.
A study proposes two detonation defense modes to defend against large-sized near-Earth asteroids. The novel flyby pre-excavation detonation mode offers stronger energy coupling and can destroy hundred-meter-scale asteroids, making it the preferred option when warning time permits.
The review explores various propulsion strategies, navigation algorithms, and on-demand release mechanisms for autonomous microrobots. The authors propose a four-tier hierarchy based on barrier traversal capability, enabling local, systemic, deep tissue, and immune-privileged delivery.
Journal Cyborg and Bionic Systems achieved a ranking of 2nd in Robotics and 4th in Engineering, Biomedical in the Journal Citation Report 2025. The journal has an Impact Factor of 20.9 and is published by Beijing Institute of Technology Press Co., Ltd.
Optoelectronic tweezers (OETs) manipulate single cells through dielectrophoretic forces, offering a unique approach to cell capture, transport, sorting, analysis, and functional screening. OET integrates with microfluidics and other technologies for label-free single-cell physical parameter measurement and biomolecule manipulation.
A new carbon nanotube bandage provides a practical, deployable alternative for shape sensing in robots used in surgery. The sensor can be easily installed and offers real-time intraoperative guidance.
Researchers found that frequency-specific transcranial photobiomodulation elicits complementary glial mechanisms for neurovascular protection and amyloid clearance in Alzheimer's disease. CW light primarily targeted astrocytes, while 40-Hz light drove microglial clustering around Aβ plaques.
A novel dynamic modeling approach for a net-membrane capture system accounts for combined deformations, enabling effective capture of stationary and spinning debris. The study identifies optimal shooting parameters, demonstrating excellent despinning capability during capture.
Researchers used a brain vital signs framework to monitor cognitive and neurophysiological function in astronauts on a 17-day mission. The results showed minimal differences in accuracy and reaction time across various cognitive tasks, with no significant neurophysiological decline.
Researchers proposed a novel method for detecting Earth's free oscillations utilizing TianQin, achieving high signal-to-noise ratio of 73 and distinguishing multiple modes. This method leverages frequency splitting effect to circumvent calibration errors, enabling precise probing of Earth's internal structure.
This study proposes a frequency-sweeping interferometry technique to measure intertelescope baselines with high precision and stability. Experimental results demonstrate improved stability by 33.47% and ranging accuracy of 44.30 μm over 10 m range.
A study proposes two detonation defense modes to deal with large-sized near-Earth asteroids. The flyby pre-excavation detonation mode offers stronger energy coupling and can destroy hundred-meter-scale asteroids, making it a preferred option when warning time permits.
A dynamic model of the release mechanism and interfacial adhesion effect is established to evaluate release performance and guide optimization. The improved genetic algorithm-based identification method significantly enhances model approximation, enabling accurate description of dynamic behavior during release.
A new paradigm for brain-computer interfaces uses text sequence stimulation to evoke robust brain responses while being gentler on the eyes. The technology achieved high-speed operation with low discomfort, outperforming conventional brightness flicker in comfort and preference across a wide frequency range.
Untethered micro/nanorobots powered by magnetic, acoustic, or optical fields can disrupt clots and deliver drugs, achieving faster and safer recanalization. Imaging guidance enables real-time feedback on thrombus burden and treatment response.
A dual-mode wireless microsystem simultaneously monitors electrophysiological signals and dopamine-related electrochemical signals, providing a complete view of brain state transitions. The system shows dose-dependent effects of dexmedetomidine on cortical neural activity and neurochemical signals.
A wireless controller was implanted into cockroaches, boosting their mobility and success rates in navigating through obstacles. The implant allowed the insects to use their full behavioral repertoire, including rolling and side-stepping, while backpacked insects struggled with reduced success rates.
Researchers proposed a modular design framework combining rigid and soft-robot-like reconfigurability for next-generation multifunctional magnetic medical robots. The articulated actuator prototypes demonstrated stability, predictability, and cross-scale feasibility in complex biological environments.
The research presents a novel system, RAMRS, that combines robot-assisted osteotomy and augmented reality-guided reconstruction to improve accuracy and efficiency in complex maxillofacial surgeries. The system achieves significant reductions in errors compared to traditional methods, making it a major step forward for the field.
Physical intelligence embeds sensing and actuation into materials, while biological intelligence integrates living cells for biocompatibility and environmental sensing. Computational intelligence enables data-driven perception, planning, and learning. Human oversight remains crucial for safety.
A new AI-based system was trained on 890 cases of nasopharyngeal carcinoma and refined through four iterations, achieving clinically acceptable plans in just 3.5 minutes. The system achieved superior or comparable dosimetric quality with lower doses to organs at risk.
This study proposed a myoelectric prosthetic control framework that integrates tactile, kinesthetic, and EMG information to improve stability and adaptability during dynamic tool handling. The TKE-BGC system achieved stronger stability, accuracy, and generalization in dynamic tool handling.
A new deep learning framework uses diffusion tensor imaging to identify subcortical vascular cognitive impairment (SVCI) with high accuracy. The model stratifies patients into low-, moderate-, and high-risk subgroups for each cognitive domain, offering a more objective and scalable tool for clinicians.
A new multimodal controller for myoelectric prosthetic hands uses tactile, kinesthetic, and EMG signals to improve tool handling and reduce tool drops. The system significantly reduced the number of tool drops and shortened completion times in both able-bodied participants and amputees.
Researchers developed a deep learning framework to classify and profile subcortical vascular cognitive impairment using DTI volumes. The model achieved high accuracy and correlated with neuropsychological scores, enabling stratification of patients by predicted risk of impairment in specific cognitive functions.
Researchers developed a novel bioinspired nanocomposite for targeted immunoengineering and improved tendon regeneration. The KGN@PB@CM nanoparticles effectively modulated macrophage polarization, reduced inflammation, and promoted tenocyte differentiation, leading to enhanced tissue repair.
Researchers developed nanomotors cloaked in breast cancer cell membrane that utilize NIR light to target and kill cancer cells. The nanomotors release chemically generated reactive nitrogen species, leading to synergistic tumor treatment.
This study investigates the effects of different spinal cord stimulation frequencies on brain networks in disorders of consciousness. It found that 5 Hz and 70 Hz triggered distinct network responses, with 5 Hz promoting rapid electrophysiological integration and 70 Hz favoring delayed hemodynamic and long-range network modulation.
A new framework models tumor, stroma, and immune-related compartments separately to predict treatment response in HER2+ breast cancer. The stromal compartment achieved the best performance, outperforming other methods.
The J-MSR soft robot achieves record-breaking speeds of 14.85 BL/s, showcasing multimodal maneuverability and functionality versatility. It can carry payloads, navigate confined environments, and even perform wireless power and signaling tasks.
A new generation of wearable technologies is being developed to mitigate the effects of microgravity on the human body. These systems, including passive suits and active exoskeletons, use advanced materials and sensors to provide continuous, adaptive loading during astronaut activities.
The new device mimics an octopus's multimodal grasping strategy, achieving the fastest stiffness-switching performance reported to date. It delivers stunning speed, softening in 1.3 seconds and rigidifying in 0.8 seconds, while maintaining cooperative grasping forces exceeding 4 newtons.
A team of researchers has developed a wearable fabric electrotactile system that provides more precise and localized tactile feedback in virtual reality. The system uses a novel 'stimulation-inhibition' design to cancel lateral current spread, resulting in improved recognition accuracy and reaction times for users.