Allergic Rhinitis In article number 2412249, Hua Bai, Hongli Chen, Lin Li, Ka Bian, and co-workers developed the nanocrystallization of an asymmetric aza-BODIPY-based photosensitizer with a butterfly configuration. These nanoparticles are employed in the treatment of allergic rhinitis (AR) through a combination of photothermal and photodynamic therapies. This study represents the first successful investigation into the application of phototherapy for rhinitis, presenting a novel, straightforward, and efficient treatment strategy for this condition.

Microwires In article number 2500455, Si-Da Jiang and co-workers produce innovative nanocrystal-core/amorphous-shell structure directly from as-quenched amorphous microwire (CoFe-Based) by using a multi-step direct current annealing technique. It possesses enhanced mechanical, soft magnetic and giant magneto-impedance properties that fulfil the requirements of the emerging sensor technologies. It can be applied to weak magnetic sensors and self-monitoring sensors.

Aqueous Zinc Batteries Aqueous zinc batteries, despite their advantages in safety and performance, suffer from water-based side reactions like hydrogen evolution and corrosion. In article number 2411632, Jonggeol Na, Kwan Woo Nam, and co-workers propose a novel electrolyte that enhances stability by suppressing these side reactions and maximizing performance through solvation structure optimization. In particular, it is noteworthy that only 26 experiments were conducted based on physics-guided Bayesian active learning.

Printing The cover design contains three main elements: the “brain” representing machine learning, the process of AC-EHD printing, and the “curved surface” representing parameter optimization, which expresses the paper's idea of using a machine learning-based optimization framework to rapidly optimize the AC-EHD printing parameters. More in article number 2407496, Yiwen Feng, Dazhi Wang, and co-workers.

Memristive-Neural Integrated Chip The human brain can process spatiotemporal information more efficiently than contemporary computers. This image illustrates empirical evidence of biological brain functions via capacitorless memristive-neural integrated chip (MnIC) and an oxygenated-amorphous-carbon-based synaptic device. The MnIC successfully demonstrates real-time unsupervised learning and image recognition in a spiking neural network, showcasing a significant advancement in practical applications. More in article number 2407612, Jinsub Park, Jea-Gun Park, and co-workers.

Wearable Sensors In article number 2411046, Yannan Liu, Yingchun Li, Daidi Fan, and co-workers integrated a wireless wearable system with a multimodal input terminal, utilizing “IS”-shaped conductive hydrogel, to effectively decouple temperature and strain sensing during motion. This system can transmit bimodal signals through a mobile app, achieving integrated wireless smart monitoring and sensory feedback for the motion state of patients with arthritis and patients after joint surgery.

Antibiotic Resistance In article number 2407549, Amir Sheikhi and co-workers report sevelamer (SEV), a Food and Drug Administration (FDA)-approved polymeric microparticle, as an adjuvant therapy to combat antimicrobial resistance. SEV captures off-target vancomycin and daptomycin in the gastrointestinal tract, preventing resistance enrichment in Enterococcus faecium. SEV therapy protects the last-resort antibiotics, which may address the global antimicrobial resistance crisis. Image created with BioRender.