This study proposes a novel transmission framework that integrates a nonlinear companding-based PAPR reduction method with the Digital Post-Distortion (DPoD) technique to balance power efficiency and Bit Error Rate (BER) performance. To recover the transmitted signals, a Successive Decision Feedback Nonlinearity Equalizer (SDFNE) is developed at the receiver side. The SDFNE employs a time-domain least squares equalizer with closed-loop iterative feedback to jointly mitigate companding distortion and PA nonlinearity. The proposed framework balances transmitter-side PAPR suppression and receiver-side nonlinear equalization. This enables the PA to operate closer to its saturation point while achieving excellent BER performance. Meanwhile, compliance with spectral emission mask requirements is maintained. Numerical results on diverse PA models demonstrate that the proposed transmission framework with the SDFNE method significantly outperforms conventional nonlinear signal processing methods, including nonlinear companding, digital predistortion, and DPoD. Superior BER performance is achieved in a power-efficient manner, making the proposed framework particularly suitable for resource-constrained communication systems.

A bioinspired bead-on-string Ag/AgCl heterostructure for stable ion-electron transduction in stretchable dry electrodes is developed, opening a route to long-term, high-fidelity wearable electrophysiological monitoring and personalized hands-free human-machine interaction.

This work develops an asymmetric polarization strategy for covalent triazine frameworks (CTFs) by introducing naphthalene units to strengthen the internal electric field and promote charge separation. The resulting CTF-P1 achieves an H₂O₂ production rate of 2762.0 μmol g⁻¹ h⁻¹ in pure water without sacrificial agents. Mechanistic studies reveal that enhanced polarization facilitates both oxygen reduction and water oxidation, enabling efficient photocatalytic H₂O₂ synthesis.

Researchers have introduced a laser-triggered material platform that allows soft electronic devices and soft robots to be selectively erased, reshaped, or reprogrammed from a distance. By using light as a remote “transform button,” the technology enables rapid, localized decomposition of soft materials—opening new possibilities for secure device disposal, adaptive robotics, and operation in hard-to-access, resource-limited environments.

A synergistic paradigm to drive reactive chlorine chemistry inside porphyrinic zirconium frameworks is provided, and a avenue to merge catalytic, photothermal, and oxidative modes for enhanced antibacterial, detoxifying, and antitumor activities is opened.

Through atomic dragging, HEAH (high-entropy alloy hydride) imparts high-distortion characteristics to the MgH₂ surface, weakening interfacial Mg–H bonds and enhancing de-/hydrogenation kinetics. Meanwhile, dehydrogenated HEA enables spontaneous H₂ dissociation without energy barrier, leading to rapid hydrogenation at 200 °C.

Researchers have introduced a laser-triggered material platform that allows soft electronic devices and soft robots to be selectively erased, reshaped, or reprogrammed from a distance. By using light as a remote “transform button,” the technology enables rapid, localized decomposition of soft materials—opening new possibilities for secure device disposal, adaptive robotics, and operation in hard-to-access, resource-limited environments.

Under the dual challenges of global climate change and food security, agricultural environmental monitoring is at a critical juncture of transitioning from “passive remediation after the event” to “proactive prevention and control in advance.” With the development of smart agriculture, although mobile robots and multimodal sensors have addressed the problems of low efficiency and high cost in traditional manual sampling, most existing monitoring solutions remain at the “post-event detection” stage—that is, pollution has already occurred before an alarm finally arrives, causing control measures to often lag behind. To truly achieve green and sustainable agricultural development, there is an urgent need to give mobile robots a “smart brain”, enabling them not only to perceive the present but also to accurately predict the dynamic trends of pollutants based on complex environmental data.

This study proposes a novel Alamouti-Orthogonal Frequency Division Multiplexing (OFDM) system that mitigates constructive and destructive interference in practical multi-antenna wireless communications. Experimental results across multiple scenarios demonstrate that, under spatial misalignment, the Alamouti-OFDM system provides a maximum Signal-to-Noise Ratio (SNR) gain of 3.45 dB over traditional diversity transmission systems; in scenarios where traditional methods exhibit  > 10 dB spectral fluctuations, our system confines the spectral variations of the received signals within 2 dB.