Deep learning-based MVIT-MLKA model for accurate classification of pancreatic lesions: a multicenter retrospective cohort study.

Background: Accurate differentiation between benign and malignant pancreatic lesions is critical for effective patient management. This study aimed to develop and validate a novel deep learning network using baseline computed tomography (CT) images to predict the classification of pancreatic lesions.

Methods: This retrospective study included 864 patients (422 men, 442 women) with confirmed histopathological results across three medical centers, forming a training cohort, internal testing cohort, and external validation cohort.

Enhanced room temperature ammonia gas sensing based on a multichannel PSS-functionalized graphene/PANI network.

Disordered polymerization of polymers widens the polymerization degree distribution, which leads to uncontrollable thickness and significantly weakens their sensing performance. Herein, poly(sodium -styrenesulfonate)-functionalized reduced graphene oxide (PSS-rGO) with multichannel chain structures coated with thin polyaniline layer (PSS-rGO/PANI) nanocomposites was synthesized a facile interfacial polymerization route. The morphology and microstructure of the PSS-rGO/PANI nanocomposites were characterized using Fourier transform infrared (FTIR) spectroscopy, Raman spectroscopy, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and scanning electron microscopy (SEM).

Spontaneous ventilation video-assisted thoracoscopic surgery for octogenarian non-small cell lung cancer patients: a non-inferiority study.

Background: The benefits of spontaneous ventilation (SV)-video-assisted thoracoscopic surgery (VATS) in octogenarian patients with non-small-cell lung cancer (NSCLC) have rarely been reported. This retrospective study was conducted to evaluate the safety and feasibility of SV-VATS in octogenarian patients with NSCLC.

Methods: Patients with NSCLC aged >80 years who underwent SV-VATS or mechanical ventilation (MV)-VATS between 2017 and 2022 were included in this study.

Lattice plainification and band engineering lead to high thermoelectric cooling and power generation in n-type BiTe with mass production.

Thermoelectrics can mutually convert between thermal and electrical energy, ensuring its utilization in both power generation and solid-state cooling. BiTe exhibits promising room-temperature performance, making it the sole commercially available thermoelectrics to date. Guided by the lattice plainification strategy, we introduce trace amounts of Cu into n-type Bi(Te, Se) (BTS) to occupy Bi vacancies, thereby simultaneously weakening defect scattering and modulating the electronic bands.