Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.

Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.

Efficient and Robust Europium(III)-Based Hybrid Lanthanide Scintillators for Advanced X-ray Imaging.

Scintillators that convert ionizing radiation into low-energy photons are essential for medical diagnostics and industrial inspections. Despite advances in X-ray scintillators, challenges remain in achieving high efficiency, environmental compatibility, stability, and flexibility. Here, we present experimental investigations of a new type of europium(III)-based hybrid ternary complex scintillators for improved X-ray detection and imaging.

Identifying influential nodes in brain networks via self-supervised graph-transformer.

Background: Studying influential nodes (I-nodes) in brain networks is of great significance in the field of brain imaging. Most existing studies consider brain connectivity hubs as I-nodes such as the regions of high centrality or rich-club organization. However, this approach relies heavily on prior knowledge from graph theory, which may overlook the intrinsic characteristics of the brain network, especially when its architecture is not fully understood.

Investigating the inflammatory mechanism of notoginsenoside R1 in Diabetic nephropathy via ITGB8 based on network pharmacology and experimental validation.

Background: Diabetes often causes diabetic nephropathy (DN), a serious long-term complication. It is characterized by chronic proteinuria, hypertension, and kidney function decline, can progress to end-stage renal disease, lowering patients' quality of life and lifespan. Inflammation and apoptosis are key to DN development.

right posterior sectionectomy during liver procurement based on preoperative 3D planning to prevent extreme large-for-size syndrome in adult-to-adult liver transplantation: a case report.

Background: Large-for-size syndrome (LFSS) is an uncommon but potentially lethal complication following adult liver transplantation (LT). Reduced-size liver transplantation (RSLT) is considered a valuable alternative to delayed fascial closure or mesh closure for preventing LFSS. In this article, we report a successful adult-to-adult RSLT case with right posterior graft sectionectomy using three-dimensional (3D) computer-assisted planning.

Personalized neoantigen hydrogel vaccine combined with PD-1 and CTLA-4 double blockade elicits antitumor response in liver metastases by activating intratumoral CD8CD69 T cells.

Background: Liver metastasis is highly aggressive and immune tolerant, and lacks effective treatment strategies. This study aimed to develop a neoantigen hydrogel vaccine (NPT-gels) with high clinical feasibility and further investigate its efficacy and antitumor molecular mechanisms in combination with immune checkpoint inhibitors (ICIs) for the treatment of liver metastases.

Methods: The effects of liver metastasis on survival and intratumor T-cell subpopulation infiltration in patients with advanced tumors were investigated using the Surveillance, Epidemiology, and End Results Program (SEER) database and immunofluorescence staining, respectively.

Dual relaxation behaviors driven by a homogeneous and stable dual-interface charge layer based on an EGaIn absorber.

Interface engineering, by modulating defect distribution and impedance at interfaces and inducing interfacial polarization, has proven to be an effective strategy for optimizing dielectric properties. However, the inherent incompatibility between heterogeneous phases presents a significant challenge in constructing multi-heterointerfaces and understanding how their distribution influences dielectric performance. Herein, we constructed an EGaIn@Ni/NiO/GaO composite structure by employing a low-intensity ultrasound-assisted galvanic replacement reaction followed by high-temperature annealing.

Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning.

Liaoning Cashmere Goats are a high-quality dual-purpose breed valued for both their cashmere and meat. They are also a key national genetic resource for the protection of livestock and poultry in China, with their intensive farming model currently taking shape. Leveraging new productivity advantages and reducing labor costs are urgent issues for intensive breeding.

Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils.

Machine learning (ML) models for accurately predicting heavy metals with inconsistent outputs have improved owing to dataset outliers, which influence model reliability and accuracy. A comprehensive technique that combines machine learning and advanced statistical methods was applied to assess data outlier's effects on ML models. Ten ML models with three outlier detection methods predicted Cr, Ni, Cd, and Pb in Narayanganj soils.

Calcineurin-fusion facilitates cryo-EM structure determination of a Family A GPCR.

Advances in singe-particle cryo-electron microscopy (cryo-EM) have made it possible to solve the structures of numerous Family A and Family B G protein-coupled receptors (GPCRs) in complex with G proteins and arrestins, as well as several Family C GPCRs. Determination of these structures has been facilitated by the presence of large extramembrane components (such as G protein, arrestin, or Venus flytrap domains) in these complexes that aid in particle alignment during the processing of the cryo-EM data. In contrast, determination of the inactive state structure of Family A GPCRs is more challenging due to the relatively small size of the seven transmembrane domain (7TM) and to the surrounding detergent micelle that, in the absence of other features, make particle alignment impossible.

Structure of G protein-coupled receptor GPR1 bound to full-length chemerin adipokine reveals a chemokine-like reverse binding mode.

Chemerin is an adipokine with chemotactic activity to a subset of leukocytes. Chemerin binds to 3 G protein-coupled receptors, including chemokine-like receptor 1 (CMKLR1), G protein-coupled receptor 1 (GPR1), and C-C chemokine receptor-like 2 (CCRL2). Here, we report that GPR1 is capable of Gi signaling when stimulated with full-length chemerin or its C-terminal nonapeptide (C9, YFPGQFAFS).

Structural basis for ligand recognition of the human hydroxycarboxylic acid receptor HCAR3.

Hydroxycarboxylic acid receptor 3 (HCAR3), a class A G-protein-coupled receptor, is an important cellular energy metabolism sensor with a key role in the regulation of lipolysis in humans. HCAR3 is deeply involved in many physiological processes and serves as a valuable target for the treatment of metabolic diseases, tumors, and immune diseases. Here, we report four cryoelectron microscopy (cryo-EM) structures of human HCAR3-Gi1 complexes with or without agonists: the endogenous ligand 3-hydroxyoctanoic acid, the drug niacin, the highly subtype-specific agonist compound 5c (4-(n-propyl)amino-3-nitrobenzoic acid), and the apo form.

Luminescence properties of SrGaGeO:Bi phosphors and temperature sensing characteristics of co-doped Sm.

As one of the fundamental physical quantities, temperature is extremely important in various fields. In order to study the temperature sensing characteristics of dual-emitting center phosphors, Bi-doped and Bi/Sm-doped SrGaGeO phosphors were synthesized by high-temperature solid-phase method. Under 312 nm excitation, the SrGaGeO:Bi phosphor exhibits a blue broadband emission corresponding to the P → S transition of Bi ions.

A Study on the 3D Reconstruction Strategy of a Sheep Body Based on a Kinect v2 Depth Camera Array.

Non-contact measurement based on the 3D reconstruction of sheep bodies can alleviate the stress response in sheep during manual measurement of body dimensions. However, data collection is easily affected by environmental factors and noise, which is not conducive to practical production needs. To address this issue, this study proposes a non-contact data acquisition system and a 3D point cloud reconstruction method for sheep bodies.

Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer.

Deep learning has drawn increasing attention in microstructure estimation with undersampled diffusion MRI (dMRI) data. A representative method is the hybrid graph transformer (HGT), which achieves promising performance by integrating -space graph learning and -space transformer learning into a unified framework. However, this method overlooks the 3D spatial information as it relies on training with 2D slices.

Pollution area identification, receptor model-oriented sources and probabilistic health hazards to prioritize control measures for heavy metal management in soil.

Identifying the primary source of heavy metals (HMs) pollution and the key pollutants is crucial for safeguarding eco-health and managing risks in industrial vicinity. For this purpose, this investigation was carried out to investigate the pollution area identification with soil static environmental capacity (QI), receptor model-oriented critical sources, and Monte Carlo simulation (MCS) based probabilistic environmental and human health hazards associated with HMs in agricultural soils of Narayanganj, Bangladesh. The average concentration of Cr, Ni, Cu, Cd, Pb, Co, Zn, and Mn were 98.

Structural basis for the ligand recognition and G protein subtype selectivity of kisspeptin receptor.

Kisspeptin receptor (KISS1R), belonging to the class A peptide-GPCR family, plays a key role in the regulation of reproductive physiology after stimulation by kisspeptin and is regarded as an attractive drug target for reproductive diseases. Here, we demonstrated that KISS1R can couple to the G pathway besides the well-known G pathway. We further resolved the cryo-electron microscopy (cryo-EM) structure of KISS1R-G and KISS1R-G complexes bound to the synthetic agonist TAK448 and structure of KISS1R-G complex bound to the endogenous agonist KP54.