Precipitation Behavior and Properties Evolution of Cu-1.16Ni-0.36Cr Alloy During Heat Treatment.

In this paper, Cu-1.16Ni-0.36Cr alloy was obtained by adding Ni-Cr intermediate alloy, and the effects of aging parameters on its microstructural evolution and mechanical properties were studied.

Regional citrate anticoagulation algorithm and management protocol aimed at ensuring blood calcium stability: a prospective single-arm study.

Background: Although several regional citrate anticoagulation (RCA) algorithms have been reported, clinical data confirming their effectiveness and safety are limited. We have developed a novel RCA algorithm applicable to extensive continuous renal replacement therapy (CRRT) settings. The aims of this study were to evaluate the incidence of calcium and citrate abnormalities that necessitated human intervention when using this algorithm during RCA and to identify the optimal values of the coefficients and in the equations.

Detecting the Stage of Fibrosis in Non-alcoholic Fatty Liver Disease by 9.4T Phosphorus Magnetic Resonance Spectroscopy.

Purpose: To study the potential advantages of phosphorus magnetic resonance spectroscopy (P-MRS) in differentiating advanced from mild fibrosis in non-alcoholic fatty liver disease (NAFLD) and early diagnosis at high field strength MR (9.4 Tesla).

Methods: Fibrosis of normal and carbon tetrachloride (CCl)-treated male rats was staged into: none (F0), perisinusoidal or periportal (F1), perisinusoidal and portal/periportal (F2), bridging fibrosis (F3) and cirrhosis (F4) by Sirius Red staining.

Empagliflozin ameliorates RSL3-induced ferroptosis in vascular endothelial cells via the NRF2/HO-1 pathway.

Endothelial cell dysfunction is a fundamental injury of atherosclerosis cardiovascular disease (ASCVD), closely linked to ferroptosis, which is a novel type of cell death induced by iron-dependent lipid peroxidation. Several clinical trials have suggested that empagliflozin, a selective inhibitor of sodium glucose co-transporter 2, reduces the risk of hospitalization for heart failure and cardiovascular death in patients with type 2 diabetes. However, little is known about the mechanism of EMPA in endothelial cell ferroptosis in ASCVD.

Dual energy CT-based Radiomics for identification of myocardial focal scar and artificial beam-hardening.

Background: Computed tomography is an inadequate method for detecting myocardial focal scar (MFS) due to its moderate density resolution, which is insufficient for distinguishing MFS from artificial beam-hardening (BH). Virtual monochromatic images (VMIs) of dual-energy coronary computed tomography angiography (DECCTA) provide a variety of diagnostic information with significant potential for detecting myocardial lesions. The aim of this study was to assess whether radiomics analysis in VMIs of DECCTA can help distinguish MFS from BH.

Radiomics classification of fresh and old vertebral compression fractures: Impact of compression grade and morphology on diagnostic performance.

Objectives: To develop a radiomics model for identifying fresh or old vertebral compression fractures (VCFs) from CT images, thereby assisting physicians in making more effective decisions.

Methods: Patients with VCFs who underwent both CT and MRI within one week were retrospectively enrolled from June 2018 to February 2023. VCFs were categorized as subgroups according to compression grades (mild, moderate or severe) or morphology types (wedge-shaped, biconcave or crush).

Depassivation of Zero-Valent Iron through Continuous Surface Renewal with Mechanochemical Processing.

Zero-valent iron (ZVI) is a solid reductant that can react with a wide array of contaminants; however, its effectiveness is significantly reduced by the surface passivation layer formed on its surface. This study introduces mechanochemical depassivation to revitalize passivated ZVI and restore its reactivity. The method is exemplified through mechanical milling to depassivate ZVI with different passivation layers formed in solutions containing Cr(VI), Ni(II), and/or trichloroethylene, as well as in a complex water matrix.

[Evaluation of Dual Emission Control Effects and Green Innovation Mechanisms: Evidence Based on the Construction of Free Trade Pilot Zones].

With the replication and promotion of the experience of pilot reform and innovation, as well as the continuous deepening of institutional openness, exploring green and low-carbon models has become an important measure for the country to promote the high-quality development of free trade pilot zones. This study focused on the core task of institutional innovation in free trade pilot zones, measured and quantified the level of green investment liberalization and green trade facilitation in each region, and explored the carbon emission dual control effect of free trade pilot zones using cutting-edge methods, such as group period average processing effect estimation （CATT）, imputation, and stacked DID. The research conclusions were as follows： ① The phased establishment of free trade pilot zones reduced the total carbon emissions by 27.

Characterization of the Micro-Morphology and Compositional Distribution of Chang'e-5 Lunar Soil Mineral Surfaces Using TOF-SIMS.

The lunar soil samples returned by China's Chang'e-5 (CE-5) contain valuable information on geological evolutions on the Moon. Herein, by employing high-resolution time-of-flight secondary ion mass spectrometry (TOF-SIMS), five rock chip samples from the CE-5 lunar soil are characterized in-depth, which reveal micro-morphological and compositional features. From the elemental/molecular ion distribution images, minerals such as pyroxene, ilmenite, feldspar, K-rich glass, silica, and silicate minerals are identified, along with their occurrence states and distribution results.

Effect of Cold Deformation on the Microstructural and Property Uniformity of AlO/Cu Composites.

Copper matrix composites (Cu-MCs) have garnered significant attention due to their exceptional electrical, wear-resistant, and mechanical properties. Among them, AlO/Cu composites, reinforced with AlO, are a focal point in the field of high-strength, high-conductivity copper alloys, owing to their high strength, excellent electrical conductivity, and superior resistance to high-temperature softening. Cold deformation is an effective method for enhancing the mechanical properties of AlO/Cu composites.

Automatic grading of knee osteoarthritis with a plain radiograph radiomics model: combining anteroposterior and lateral images.

Objectives: To establish a radiomics-based automatic grading model for knee osteoarthritis (OA) and evaluate the influence of different body positions on the model's effectiveness.

Materials And Methods: Plain radiographs of a total of 473 pairs of knee joints from 473 patients (May 2020 to July 2021) were retrospectively analyzed. Each knee joint included anteroposterior (AP) and lateral (LAT) images which were randomly assigned to the training cohort and the testing cohort at a ratio of 7:3.

Codelivery of anti-CD47 antibody and chlorin e6 using a dual pH-sensitive nanodrug for photodynamic immunotherapy of osteosarcoma.

Osteosarcoma is a malignant tumor originating from bone tissue that progresses rapidly and has a poor patient prognosis. Immunotherapy has shown great potential in the treatment of osteosarcoma. However, the immunosuppressive microenvironment severely limits the efficacy of osteosarcoma treatment.

Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis.

Objectives: This study aimed to evaluate the performance of a deep learning radiomics (DLR) model, which integrates multimodal MRI features and clinical information, in diagnosing sacroiliitis related to axial spondyloarthritis (axSpA).

Material & Methods: A total of 485 patients diagnosed with sacroiliitis related to axSpA (n = 288) or non-sacroiliitis (n = 197) by sacroiliac joint (SIJ) MRI between May 2018 and October 2022 were retrospectively included in this study. The patients were randomly divided into training (n = 388) and testing (n = 97) cohorts.

Effects of Cold Rolling Reduction Rate on the Microstructure and Properties of Cu-1.16Ni-0.36Cr Alloy after Thermo-Mechanical Treatment.

In this paper, a Cu-Ni-Cr alloy was prepared by adding a Ni-Cr intermediate alloy to copper. The effects of the cold rolling reduction rate on the microstructure and properties of the Cu-1.16Ni-0.

Deep Learning-Based Automated Magnetic Resonance Image Segmentation of the Lumbar Structure and Its Adjacent Structures at the L4/5 Level.

(1) Background: This study aims to develop a deep learning model based on a 3D Deeplab V3+ network to automatically segment multiple structures from magnetic resonance (MR) images at the L4/5 level. (2) Methods: After data preprocessing, the modified 3D Deeplab V3+ network of the deep learning model was used for the automatic segmentation of multiple structures from MR images at the L4/5 level. We performed five-fold cross-validation to evaluate the performance of the deep learning model.

Effects of biochar and zero valent iron on the bioavailability and potential toxicity of heavy metals in contaminated soil at the field scale.

Heavy metals (HMs) such as copper, nickel and chromium are toxic, so soil contaminated with these metals is of great concern. In situ HM immobilization by adding amendments can decrease the risk of contaminants being released. A five-month field-scale study was performed to assess how different doses of biochar and zero valent iron (ZVI) affect HM bioavailability, mobility, and toxicity in contaminated soil.

Homocysteine induces ferroptosis in endothelial cells through the systemXc/GPX4 signaling pathway.

Objectives: To investigate whether ferroptosis is involved in HCY-induced endothelial injury and the possible mechanism of HCY-induced ferroptosis.

Methods: EA. hy926 cells were cultured in vitro.

Deep learning-assisted knee osteoarthritis automatic grading on plain radiographs: the value of multiview X-ray images and prior knowledge.

Background: Knee osteoarthritis (OA) is harmful to people's health. Effective treatment depends on accurate diagnosis and grading. This study aimed to assess the performance of a deep learning (DL) algorithm based on plain radiographs in detecting knee OA and to investigate the effect of multiview images and prior knowledge on diagnostic performance.