Production and functional characteristics of a novel hirudin variant with better anticoagulant activities than bivalirudin.

Current antithrombotic therapies face dual constraints of bleeding complications and monitoring requirements. Although natural hirudin provides targeted thrombin inhibition, its clinical adoption is hindered by sourcing limitations. This study developed a recombinant hirudin variant HMg (rHMg) with enhanced anticoagulant activity through genetic engineering and established cost-effective large-scale production methods.

Association Between Fractional Exhaled Nitric Oxide (FeNO) and Cognitive Function in Patients with Obstructive Sleep Apnea.

Purpose: Obstructive sleep apnea (OSA) is characterised by intermittent hypoxia and sleep fragmentation, both of which can impair cognition. This study aimed to investigate the association between fractional exhaled nitric oxide (FeNO), a non-invasive marker of airway inflammation, and memory performance in patients with OSA.

Methods: A total of 102 participants were enrolled: 62 with moderate or severe OSA (apnea-hypopnea index, AHI≥15) and 40 with snoring or mild OSA (AHI <15).

[Thyroid nodule segmentation method integrating receiving weighted key-value architecture and spherical geometric features].

To address the high computational complexity of the Transformer in the segmentation of ultrasound thyroid nodules and the loss of image details or omission of key spatial information caused by traditional image sampling techniques when dealing with high-resolution, complex texture or uneven density two-dimensional ultrasound images, this paper proposes a thyroid nodule segmentation method that integrates the receiving weighted key-value (RWKV) architecture and spherical geometry feature (SGF) sampling technology. This method effectively captures the details of adjacent regions through two-dimensional offset prediction and pixel-level sampling position adjustment, achieving precise segmentation. Additionally, this study introduces a patch attention module (PAM) to optimize the decoder feature map using a regional cross-attention mechanism, enabling it to focus more precisely on the high-resolution features of the encoder.

Bacteriophages enhance the transformation of dissolved organic matter during vermicomposting of sludge.

Vermicomposting is an eco-friendly technology for treating sewage sludge, however its efficiency in transforming biological material is often constrained. This study investigates the potential of bacteriophages to enhance the transformation of dissolved organic matter (DOM) during sludge vermicomposting. Fresh dewatered sludge treated with bacteriophages (VP) were compared to untreated controls (CK) over a 30 days' vermicomposting.

Prognostic value of sarcopenia in patients with unresectable colorectal liver metastases after drug-eluting beads transcatheter arterial chemoembolization: a single center retrospective study.

Sarcopenia is a prevalent condition in tumor patients and can potentially impact the prognosis of tumor treatment. This retrospective study aimed to evaluate the correlations between sarcopenia and the prognosis of patients with unresectable colorectal liver metastases (CRLM) received drug-eluting beads transcatheter arterial chemoembolization (DEB-TACE) therapy. From December 2018 to December 2023, unresectable CRLM patients who had already received second-line therapy from the Wuhan Union Hospital were involved in our study.

Multiscale Modeling and Simulation of Falling Collision Damage Sensitivity of Kiwifruit.

Falling damage is the most common form of damage sustained by kiwifruit during the process of picking and post-processing, and it is difficult to conduct a quantitative analysis of this phenomenon through traditional experimental methods. In order to deeply understand the sensitivity of kiwifruit to falling collision damage, the finite element numerical simulation method was used to evaluate and predict the sensitivity of kiwifruit to falling collision damage during harvesting. First, we obtained the appearance characteristics of kiwifruit through reverse engineering technology and determined the geometric and mechanical property parameters of kiwifruit through physical mechanics experiments.

Melatonin enhances the efficacy of anti-PD-L1 by improving hypoxia in residual tumors after insufficient radiofrequency ablation.

The hypoxic microenvironment and inflammatory state of residual tumors caused by insufficient radiofrequency ablation (iRFA) are major reasons for rapid tumor progression and pose challenges for immunotherapy. We retrospectively analyzed the clinical data of patients with hepatocellular carcinoma (HCC) treated with RFA and observed that iRFA was associated with poor survival outcomes and progression-free survival. Using an orthotopic HCC mouse model and a colorectal liver metastasis model, we observed that treatment with melatonin after iRFA reduced tumor growth and metastasis and achieved the best outcomes when combined with anti-programmed death-ligand 1 (anti-PD-L1) therapy.

Drug-eluting bead transarterial chemoembolization combined with apatinib/camrelizumab for the treatment of advanced hepatocellular carcinoma with hepatic arterioportal shunts.

Objective: To evaluate the efficacy and safety of drug eluting bead transarterial chemoembolization (D-TACE) combined with apatinib/camrelizumab in patients with advanced hepatocellular carcinoma (HCC) and hepatic arterioportal shunts (APSs).

Methods: From January 2021 to December 2022, the consecutive medical records of patients with advanced HCC and APS receiving D-TACE combined with apatinib/camrelizumab were reviewed for eligibility. Overall survival (OS), progression-free survival (PFS), tumour response, and adverse events (AEs) were assessed.

oHSV2-mGM repolarizes TAMs and cooperates with αPD1 to reprogram the immune microenvironment of residual cancer after radiofrequency ablation.

Background: Due to the size and location of the tumor, incomplete radiofrequency ablation (iRFA) of the target tumor inhibits tumor immunity. In this study, a murine herpes simplex virus (oHSV2-mGM) armed with granulocyte-macrophage colony-stimulating factor (GM-CSF) was constructed to explore its effect on innate and adaptive immunity during iRFA, and the inhibitory effect of programmed cell death-1 (PD1) on tumor.

Methods: We verified the polarization and activation of RAW264.

Effect of metformin on hepatocellular carcinoma patients with type II diabetes receiving transarterial chemoembolization: a multicenter retrospective cohort study.

Background: Diabetes is prevalent among patients with hepatocellular carcinoma (HCC) and is associated with a poor prognosis. Although the hypoglycemic drug metformin has shown antitumor effects, its potential positive effect on patients with HCC and diabetes undergoing transarterial chemoembolization (TACE) remains unclear. Therefore, this study aimed to investigate the efficacy and safety of metformin in patients with HCC and type II diabetes who are receiving TACE.

Earthworm gut digestion drives the transfer behavior of antibiotic resistance genes in layers of extracellular polymeric substances during vermicomposting of dewatered sludge.

Gut digestion by earthworms (GDE) is a crucial step in vermicomposting, affecting the fate of antibiotic resistance genes (ARGs) in vermicompost sludge. The extracellular polymeric substance (EPS) matrix of sludge is an important space for ARG transfer. However, the effect of GDE on EPS-associated ARGs remains unclear.

Ultrasmall Metal TPZ Complexes with Deep Tumor Penetration for Enhancing Radiofrequency Ablation Therapy and Inducing Antitumor Immune Responses.

Radiofrequency ablation (RFA) is one of the most common minimally invasive techniques for the treatment of solid tumors, but residual malignant tissues or small satellite lesions after insufficient RFA (iRFA) are difficult to remove, often leading to metastasis and recurrence. Here, Fe-TPZ nanoparticles are designed by metal ion and (TPZ) ligand complexation for synergistic enhancement of RFA residual tumor therapy. Fe-TPZ nanoparticles are cleaved in the acidic microenvironment of the tumor to generate Fe and TPZ.

Multi-line-of-sight Hartmann-Shack wavefront sensing based on image segmentation and K-means sorting.

Multi-line-of-sight wavefront sensing, crucial for next-generation astronomy and laser applications, often increases system complexity by adding sensors. This research introduces, to the best of our knowledge, a novel method for multi-line-of-sight Hartmann-Shack wavefront sensing by using a single sensor, addressing challenges in centroid estimation and classification under atmospheric turbulence. This method contrasts with existing techniques that rely on multiple sensors, thereby reducing system complexity.

Experimental demonstration of wavefront reconstruction and correction techniques for variable targets based on distorted grating and deep learning.

This research presents a practical approach for wavefront reconstruction and correction adaptable to variable targets, with the aim of constructing a high-precision, general extended target adaptive optical system. Firstly, we delve into the detailed design of a crucial component, the distorted grating, simplifying the optical system implementation while circumventing potential issues in traditional phase difference-based collection methods. Subsequently, normalized fine features (NFFs) and structure focus features (SFFs) which both are independent of the imaging target but corresponded precisely to the wavefront aberration are proposed.

Performance of the neural network-based prediction model in closed-loop adaptive optics.

Adaptive optics (AO) technology is an effective means to compensate for atmospheric turbulence, but the inherent delay error of an AO system will cause the compensation phase of the deformable mirror (DM) to lag behind the actual distortion, which limits the correction performance of the AO technology. Therefore, the feed-forward prediction of atmospheric turbulence has important research value and application significance to offset the inherent time delay and improve the correction bandwidth of the AO system. However, most prediction algorithms are limited to an open-loop system, and the deployment and the application in the actual AO system are rarely reported, so its correction performance improvement has not been verified in practice.

In situ anchored ternary hierarchical hybrid nickel@cobaltous sulfide on poly(3,4-ethylenedioxythiophene)-reduced graphene oxide for highly efficient non-enzymatic glucose sensing.

A ternary hierarchical hybrid Ni@CoS/poly(3,4-ethylenedioxythiophene)-reduced graphene oxide (Ni@CoS/PEDOT-rGO) is rationally designed and in situ facilely synthesized as electrocatalyst to construct a binder-free sensing platform for non-enzymatic glucose monitoring through traditional electrodeposition procedure. The as-prepared Ni@CoS/PEDOT-rGO presents unique hierarchical structure and multiple valence states as well as strong and robust adhesion between Ni@CoS/PEDOT-rGO and GCE. Profiting from the aforementioned merits, the sensing platform constructed under optimal conditions achieved a wide detection range (0.

Multiscale Static Compressive Damage Characteristics of Kiwifruit Based on the Finite Element Method.

In the handling or processing process, fruits are easily crushed by external loads. This type of damage in fruit often leads to the internal pulp browning and rotting, with the severity largely dependent on the fruit tissue's geometric and mechanical properties. In kiwifruits, with their thin skin and dark-colored flesh, it is particularly challenging to observe and analyze the damage caused by extrusion through traditional experimental methods.

Highly Stable Spatio-Temporal Prediction Network of Wavefront Sensor Slopes in Adaptive Optics.

Adaptive Optics (AO) technology is an effective means to compensate for wavefront distortion, but its inherent delay error will cause the compensation wavefront on the deformable mirror (DM) to lag behind the changes in the distorted wavefront. Especially when the change in the wavefront is higher than the Shack-Hartmann wavefront sensor (SHWS) sampling frequency, the multi-frame delay will seriously limit its correction performance. In this paper, a highly stable AO prediction network based on deep learning is proposed, which only uses 10 frames of prior wavefront information to obtain high-stability and high-precision open-loop predicted slopes for the next six frames.

Fabrication and Investigation of the Microwave Absorption of Nonwovens Modified by Carbon Nanotubes and Graphene Flakes.

This study aims to investigate the influences of carbon nanotubes (CNTs) and graphene flakes (GFs) on the microwave absorption performance of nonwovens. Nonwovens were modified with CNTs and GFs through an impregnation method, creating a series of absorption samples with different carbon nanomaterial contents. Then the absorption performance of the samples was tested on both sides in the X-band (8.

Object-independent wavefront sensing method based on an unsupervised learning model for overcoming aberrations in optical systems.

This Letter introduces the idea of unsupervised learning into object-independent wavefront sensing for the first time, to the best of our knowledge, which can achieve fast phase recovery of arbitrary objects without labels. First, a fine feature extraction method which only depends on the wavefront aberrations is proposed. Then, a lightweight neural network and an optical feature system are combined to form an unsupervised learning model, and the neural network is promoted to be well trained by reversely outputting fine features.

Efficacy, mechanism, and safety of melatonin-loaded on thermosensitive nanogels for rabbit VX2 tumor embolization: A novel design.

Transarterial chemoembolization (TACE) has been widely used for hepatocellular carcinoma. Reducing hypoxia in the tumor microenvironment after TACE remains a challenge as tumor progression is common in post-TACE patients due to the hypoxic tumor microenvironment. In this study, melatonin loaded on p(N-isopropyl-acrylamide-co-butyl methylacrylate) (PIB-M) was used for tumor embolism.

Association of the pretreatment lung immune prognostic index with immune checkpoint inhibitor outcomes in patients with advanced hepatocellular carcinoma.

Objective: To evaluate whether the pretreatment Lung Immune Prognostic Index (LIPI) is associated with outcomes in advanced hepatocellular carcinoma (HCC) patients under ICI.

Methods: A two-center retrospective study of patients with HCC treated with immune checkpoint inhibitors (ICIs) between January 2018 and January 2021 was performed. Based on pretreatment derived neutrophils/ (leukocytes minus neutrophils) ratio (dNLR) greater than 3 and a lactate dehydrogenase (LDH) level greater than the normal value, patients were stratified into three groups (good LIPI:0 risk factor, intermediate LIPI: 1 risk factor, and poor LIPI: 2 risk factors).

Recent advances in oncolytic virus therapy for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a highly refractory cancer and the fourth leading cause of cancer-related mortality worldwide. Despite the development of a detailed treatment strategy for HCC, the survival rate remains unsatisfactory. Oncolytic virus has been extensively researched as a new cancer therapeutic agent in the treatment of HCC.

The Feasibility of TACE Combined with TKIs Plus PD-1 Antibody for Advanced HCC.

Objective: To evaluate the efficacy and safety of transarterial chemoembolization (TACE) combined with tyrosine kinase inhibitors (TKIs: sorafenib, lenvatinib, and apatinib) plus camrelizumab (TACE-TKIs-C) vs TACE combined with TKIs (TACE-TKIs) for advanced hepatocellular carcinoma (HCC).

Methods: In this two-center retrospective study, patients with advanced HCC treated with TACE-TKIs-C or TACE-TKIs were enrolled between January 1, 2018, to October 1, 2020. A total of 260 eligible patients received TACE-TKIs-C (N=70) or TACE-TKIs (N=190).