Posterior nasal nerve neurolysis in addition to radiofrequency ablation of the inferior turbinates for patients with chronic rhinitis.

Introduction: This study aimed to evaluate the outcome of radiofrequency ablation of the inferior turbinates (RFIT) combined with posterior nasal nerve neurolysis (RPN3) in comparison with RFIT alone in the treatment of patients with chronic rhinitis unresponsive to pharmacological therapy.

Methods: A retrospective cohort study was conducted on adult and adolescent patients with chronic rhinitis who demonstrated a poor response to medication. Patients with a total 24-hour reflective total nasal symptom score (rTNSS) of ≧5, rhinorrhea score of ≧2, and congestion score of ≧2 were included.

Decoding speech intent from non-frontal cortical areas.

Brain-machine interfaces (BMIs) have advanced greatly in decoding speech signals originating from the speech motor cortices. Primarily, these BMIs target individuals with intact speech motor cortices but who are paralyzed by disrupted connections between frontal cortices and their articulators due to brainstem stroke or motor neuron diseases such as amyotrophic lateral sclerosis. A few studies have shown some information outside the speech motor cortices, such as in parietal and temporal lobes, that also may be useful for BMIs.

Cycling Molecular Assemblies for Selective Cancer Cell Golgi Disruption.

The Golgi apparatus is a critical organelle responsible for intracellular trafficking and signaling, orchestrating essential processes such as protein and lipid sorting . Dysregulation of its function has been implicated in various pathologies, including obesity, diabetes, and cancer, highlighting its importance as a potential therapeutic target. Despite this, the development of tools to selectively target the Golgi in specific cell types remain a significant unmet challenge in imaging and drug discovery.

Hydrogen-bonded organic framework nanotransducers enabled sono-optogenetics for Parkinsonian rats.

Cell-type-specific activation of parvalbumin (PV)-expressing neurons in the external globus pallidus (GPe) through optogenetics has shown promise in facilitating long-lasting movement dysfunction recovery in mice with Parkinson's disease. However, its translational potential is hindered by adverse effects stemming from the invasive implantation of optical fibers into the brain. In this study, we have developed a non-invasive optogenetics approach, utilizing focused ultrasound-triggered mechanoluminescent nanotransducers to enable remote photon delivery deep in the brain for genetically targeted neuromodulation.

Resource-efficient photonic networks for next-generation AI computing.

Current trends in artificial intelligence toward larger models demand a rethinking of both hardware and algorithms. Photonics-based systems offer high-speed, energy-efficient computing units, provided algorithms are designed to exploit photonics' unique strengths. The recent implementation of cellular automata in photonics demonstrates how a few local interactions can achieve high throughput and precision.