Microfabrication Technologies for Nanoinvasive and High-Resolution Magnetic Neuromodulation.

The increasing demand for precise neuromodulation necessitates advancements in techniques to achieve higher spatial resolution. Magnetic stimulation, offering low signal attenuation and minimal tissue damage, plays a significant role in neuromodulation. Conventional transcranial magnetic stimulation (TMS), though noninvasive, lacks the spatial resolution and neuron selectivity required for spatially precise neuromodulation.

Genetically engineered probiotics as catalytic glucose depriver for tumor starvation therapy.

Cancer cells predominantly adapt the frequent but less efficient glycolytic process to produce ATPs rather than the highly efficient oxidative phosphorylation pathway. Such a regulated metabolic pattern in cancer cells offers promising therapeutic opportunities to kill tumors by glucose depletion or glycolysis blockade. In addition, to guarantee tumor-specific therapeutic targets, effective tumor-homing, accumulation, and retention strategies toward tumor regions should be elaborately designed.

RF Signal-Based UAV Detection and Mode Classification: A Joint Feature Engineering Generator and Multi-Channel Deep Neural Network Approach.

With the proliferation of Unmanned Aerial Vehicles (UAVs) to provide diverse critical services, such as surveillance, disaster management, and medicine delivery, the accurate detection of these small devices and the efficient classification of their flight modes are of paramount importance to guarantee their safe operation in our sky. Among the existing approaches, Radio Frequency (RF) based methods are less affected by complex environmental factors. The similarities between UAV RF signals and the diversity of frequency components make accurate detection and classification a particularly difficult task.