PD-1/PD-L1 Inhibitors Plus Antiangiogenic Drugs Versus Sorafenib as the First Line Treatment for Advanced Hepatocellular Carcinoma: A Phase 3 RCTs Based Meta-Analysis.

Background: For advanced hepatocellular carcinoma (HCC), sorafenib remains the established therapy. PD-1/PD-L1 inhibitors plus antiangiogenic drugs (PIAD) as a new therapeutic approach for advanced HCC is still a subject of clinical debate regarding whether they offer improved treatment outcomes. This study was conducted to compare the two treatments in terms of antitumor efficacy and safety.

Crown-like Biodegradable Lipids Enable Lung-Selective mRNA Delivery and Dual-Modal Tumor Imaging In Vivo.

Systemic mRNA delivery to specific cell types remains a great challenge. We herein report a new class of crown-like biodegradable ionizable lipids (CBILs) for predictable lung-selective mRNA delivery by leveraging the metal coordination chemistry. Each CBIL contains an impressive crown-like amino core that coordinates with various metal ions such as Zn and further regulates the in vivo organ-targeting behavior of lipid nanoparticles (LNPs).

Simulation of landslide dam failure due to overtopping considering wide-graded soil erosion.

Landslide dams, as a particular type of secondary geological disaster, can cause serious flood disasters. Therefore, accurately predicting potential dam failure processes is crucial for developing reasonable emergency response plans. Currently, several landslide dam failure models have been proposed, but most of these models do not appropriately consider the wide gradation of landslide dam materials, which is essential for accurate erosion calculations.

A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy.

Federated learning (FL) facilitates the collaborative optimization of fault diagnosis models across multiple clients. However, the performance of the global model in the federated center is contingent upon the effectiveness of the local models. Low-quality local models participating in the federation can result in negative transfer within the FL framework.

Fast-Responsive HClO-Activated Near-Infrared Fluorescent Probe for In Vivo Diagnosis of Inflammatory Bowel Disease and Ex Vivo Optical Fecal Analysis.

Inflammatory bowel disease (IBD) is an idiopathic intestinal inflammatory disease, whose etiology is intimately related to the overproduction of hypochlorous acid (HClO). Optical monitoring of HClO in the living body favors real-time diagnosis of inflammatory diseases. However, HClO-activated near-infrared (NIR) fluorescent probes with rapid response and high inflammatory cell uptake are still lacking.

Electron-Withdrawing Substituents Enhance the Type I PDT and NIR-II Fluorescence of BODIPY J Aggregates for Bioimaging and Cancer Therapy.

Organic dyes with simultaneously boosted near-infrared-II (NIR-II) fluorescence, type I photodynamic therapy (PDT), and photothermal therapy (PTT) in the aggregate state are still elusive due to the unclear structure-function relationship. Herein, electron-withdrawing substituents are introduced at the 5-indolyl positions of BODIPY dyes to form tight J-aggregates for enhanced NIR-II fluorescence and type I PDT/PTT. The introduction of an electron-rich julolidine group at the position and an electron-withdrawing substituent (-F) at the indolyl moiety can enhance intermolecular charge transfer and the hydrogen bonding effect, contributing to the efficient generation of superoxide radicals in the aggregate state.

Visualization of Endogenous Hypochlorite in Drug-Induced Liver Injury Mice via a Bioluminescent Probe Combined with Firefly Luciferase mRNA-Loaded Lipid Nanoparticles.

Drug-induced liver injury (DILI) is a common liver disease with a high rate of morbidity, and its pathogenesis is closely associated with the overproduction of highly reactive hypochlorite (ClO) in the liver. However, bioluminescence imaging of endogenous hypochlorite in nontransgenic natural mice remains challenging. Herein, to address this issue, we report a strategy for imaging ClO in living cells and DILI mice by harnessing a bioluminescent probe formylhydrazine luciferin () combined with firefly luciferase (fLuc) mRNA-loaded lipid nanoparticles (LNPs).

Rolling bearing fault diagnosis based on fine-grained multi-scale Kolmogorov entropy and WOA-MSVM.

In allusion to solve the issue of fault diagnosis for bearing and other rotatory machinery, a technique based on fined-grained multi-scale Kolmogorov entropy and whale optimized multi-class support vector machine (abbreviated as FGMKE-WOA-MSVM) is proposed. Firstly, vibration signals are decomposed by fine-grained multi-scale decomposition, and the Kolmogorov entropy of the sub-signals at different analysis scales is calculated as the multi-dimension feature vector, which quantitatively characterize the complexity of the signal at multi-scales. Aiming at the problem of sensitive parameters selection for multi-class support vector machine model (abbreviated as MSVM), the whale optimization algorithm (abbreviated as WOA) is introduced to optimize the penalty factor and kernel function parameter, and constructing optimal WOA-MSVM model.

Rolling bearing fault diagnosis based on RQA with STD and WOA-SVM.

A rolling bearing fault diagnosis method based on Recursive Quantitative Analysis (RQA) combined with time domain feature extraction and Whale Optimization Algorithm Support Vector Machine (WOA-SVM) is proposed. Firstly, the recurrence graph of the vibration signal is drawn, and the nonlinear feature parameters in the recurrence graph combined with Standard Deviation (STD) are extracted by recursive quantitative analysis method to generate feature vectors; after that, in order to construct the optimal support vector machine model, the Whale Optimization Algorithm is used to optimize the c and g parameters. Finally, both Recursive Quantitative Analysis and standard deviation are combined with the WOA-SVM model to perform fault diagnosis of rolling bearings.

Real-time fluorescence imaging with indocyanine green during laparoscopic duodenum-preserving pancreatic head resection.

Background: Laparoscopic duodenum-preserving pancreatic head resection (LDPPHR) is a surgical method used to treat benign and low-grade malignant pancreatic head tumors. This study aimed to determine the protective effect of common bile duct in LDPPHR using indocyanine green (ICG) fluorescence imaging.

Methods: A retrospective analysis of 30 patients treated with LDPPHR at the Second Affiliated Hospital of Nanchang University between January 2015 and November 2022 was performed.

[Leptin-mediated ERK Signaling Pathway Promotes the Transformation of Rat Alveolar Type II Epithelial Cells Induced by Yunnan Tin Mine Dust].

Background: Currently, a significant number of miners are involved in mining operations at the Gejiu tin mine in Yunnan. This occupational setting is associated with exposure to dust particles, heavy metals, polycyclic aromatic hydrocarbons, and radioactive radon, thereby significantly elevating the risk of lung cancer. This study aims to investigate the involvement of leptin-mediated extracellular regulated protein kinase (ERK) signaling pathway in the malignant transformation of rat alveolar type II epithelial cells induced by Yunnan tin mine dust.

Dynamic Semi-Supervised Federated Learning Fault Diagnosis Method Based on an Attention Mechanism.

In cases where a client suffers from completely unlabeled data, unsupervised learning has difficulty achieving an accurate fault diagnosis. Semi-supervised federated learning with the ability for interaction between a labeled client and an unlabeled client has been developed to overcome this difficulty. However, the existing semi-supervised federated learning methods may lead to a negative transfer problem since they fail to filter out unreliable model information from the unlabeled client.

Modular Design of Biodegradable Ionizable Lipids for Improved mRNA Delivery and Precise Cancer Metastasis Delineation In Vivo.

Lipid nanoparticles (LNPs) represent the most clinically advanced nonviral mRNA delivery vehicles; however, the full potential of the LNP platform is greatly hampered by inadequate endosomal escape capability. Herein, we rationally introduce a disulfide bond-bridged ester linker to modularly synthesize a library of 96 linker-degradable ionizable lipids (LDILs) for improved mRNA delivery in vivo. The top-performing LDILs are composed of one 4A3 amino headgroup, four disulfide bond-bridged linkers, and four 10-carbon tail chains, whose unique GSH-responsive cone-shaped architectures endow optimized 4A3-SCC-10 and 4A3-SCC-PH lipids with superior endosomal escape and rapid mRNA release abilities, outperforming their parent lipids 4A3-SC-10/PH without a disulfide bond and control lipids 4A3-SSC-10/PH with a disulfide bond in the tail.

Electron-Withdrawing Substituents Allow Boosted NIR-II Fluorescence in J-Type Aggregates for Bioimaging and Information Encryption.

Developing molecular fluorophores with enhanced fluorescence in aggregate state for the second near-infrared (NIR-II) imaging is highly desirable but remains a tremendous challenge due to the lack of reliable design guidelines. Herein, we report an aromatic substituent strategy to construct highly bright NIR-II J-aggregates. Introduction of electron-withdrawing substituents at 3,5-aryl and meso positions of classic boron dipyrromethene (BODIPY) skeleton can promote slip-stacked J-type arrangement and further boost NIR-II fluorescence of J-aggregates via increased electrostatic repulsion and intermolecular hydrogen bond interaction.

Traceable Attribute-Based Encryption With Equality Test for Cloud Enabled E-Health System.

The emerging Internet of Things (IoTs) and cloud technologies spark dramatic growth in efficiency and productivity for the conventional e-health sector. However, the extensive applications of the communication network also expose the sensitive medical data to the unprecedented cyber threats. To protect the data privacy in IoTs-based e-health cloud environments, we propose an adaptively secure data sharing scheme with traceability and equality test (T-ABEET).

Laparoscopic anatomical left hemihepatectomy guided by middle hepatic vein in the treatment of left hepatolithiasis with a history of upper abdominal surgery.

Background: This study aimed to investigate the safety and efficacy of laparoscopic anatomical left hemihepatectomy guided by the middle hepatic vein (MHV) for the treatment of patients with hepatolithiasis who had a history of upper abdominal surgery.

Methods: Retrospective data analysis was performed on patients who underwent laparoscopic left hepatectomy for hepatolithiasis and with previous upper abdominal surgery at the Second Affiliated Hospital of Nanchang University from January 2018 to April 2022. According to the different surgical approaches, patients were divided into laparoscopic anatomical left hepatectomy guided by the MHV group (MHV-AH group) and laparoscopic traditional anatomical left hepatectomy not guided by the MHV group (non-MHV-AH group).

A Multiscale Recursive Attention Gate Federation Method for Multiple Working Conditions Fault Diagnosis.

Federated learning (FL) is an effective method when a single client cannot provide enough samples for multiple condition fault diagnosis of bearings since it can combine the information provided by multiple clients. However, some of the client's working conditions are different; for example, different clients are in different stages of the whole life cycle, and different clients have different loads. At this point, the status of each client is not equal, and the traditional FL approach will lead to some clients' useful information being ignored.

"Dual-Key-and-Lock" NIR-II NSCyanines Enable High-Contrast Activatable Phototheranostics in Extrahepatic Diseases.

Conventional cyanine dyes with a symmetric structure are "always-on", which can easily accumulate in the liver and display high liver background fluorescence, inevitably interfering the accurate diagnosis and therapy in extrahepatic diseases. We herein report a platform of NIR-II non-symmetric cyanine (NSCyanine) dyes by harnessing a non-symmetric strategy, which are extremely sensitive to pH/viscosity and can be activated via a "dual-key-and-lock" strategy. These NSCyanine dyes with a low pKa (<4.

Non-Solvatochromic Cell Membrane-Targeted NIR Fluorescent Probe for Visualization of Polarity Abnormality in Drug-Induced Liver Injury Mice.

Noninvasive visualization of liver polarity by using fluorescence imaging technology is helpful to better understand drug-induced liver injury (DILI). However, cell membrane-targeted polarity-sensitive near-infrared (NIR) fluorescent probes are still scarce. Herein, we report a non-solvatochromic cell membrane-targeted NIR small molecular probe () for monitoring the polarity changes on cell membranes in living cells and in vivo.

Effect of different lymph node dissection methods on the number of lymph nodes detected and prognosis in gallbladder cancer.

At present, the extent of lymph node dissection (LND) for radical gallbladder cancer (GBC) is still controversial, and there is no evidence that LND improves prognosis, however, the latest guidelines for GBC recommend that removal of more than 6 lymph nodes facilitates staging of regional lymph nodes. The aim of this study is to investigate the effect of different LND methods on the number of lymph nodes detected and assess the prognostic factors during radical resection of GBC. This study retrospectively analyzed 133 patients (46 men and 87 women; average age: 64.

Electroshock synthesis of a bifunctional nonprecious multi-element alloy for alkaline hydrogen oxidation and evolution.

The design and production of active, durable, and nonprecious electrocatalysts toward alkaline hydrogen oxidation and evolution reactions (HOR/HER) are extremely appealing for the implementation of hydrogen economy, but remain challenging. Here, we report a facile electric shock synthesis of an efficient, stable, and inexpensive NiCoCuMoW multi-element alloy on Ni foam (NiCoCuMoW) as a bifunctional electrocatalyst for both HOR and HER. For the HOR, the current density of NiCoCuMoW could reach ∼11.

Federated Learning Based Fault Diagnosis Driven by Intra-Client Imbalance Degree.

Federated learning is an effective means to combine model information from different clients to achieve joint optimization when the model of a single client is insufficient. In the case when there is an inter-client data imbalance, it is significant to design an imbalanced federation aggregation strategy to aggregate model information so that each client can benefit from the federation global model. However, the existing method has failed to achieve an efficient federation strategy in the case when there is an imbalance mode mismatch between clients.

Sequential multi-parametric MRI in assessment of the histological subtype and features in the malignant pleural mesothelioma xenografts.

Objective: It is still a challenge to find a noninvasive technique to distinguish the histological subtypes of malignant pleural mesothelioma (MPM) and characterize the development of related histological features. We investigated the potential value of multiparametric MRI in the assessment of the histological subtype and development of histologic features in the MPM xenograft model.

Methods: MPM xenograft models were developed by injecting tumour cells into the right axillary space of nude mice.