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Grain boundary segmentation is crucial for the quantitative analysis of grain structures and material optimization. However, challenges persist due to noise interference, high labeling costs, and low detection Accuracy. Therefore, we propose a semi-supervised method called Semi-SRUnet, which is based on teacher–student knowledge distillation and pseudo-label repair to achieve grain boundary detection for a small number of labels. Specifically, the method introduces SCConv (Spatial and Channel Reconstruction Convolution) and boundary regression to improve the U-Net (a convolutional neural network architecture) as a teacher network. These innovations aim to reduce spatial and channel redundancy, expand the receptive field, and effectively capture contextual information from images, thereby improving feature extraction robustness and boundary precision in noisy environments. Additionally, we designed a pseudo-label repair algorithm to enhance the Accuracy of pseudo-labels generated by the teacher network and used knowledge distillation to train a lightweight student network. The experimental results demonstrate that Semi-SRUnet achieves 88.86% mean Intersection over Union (mIoU), 96.64% mean Recall (mRecall), 91.5% mean Precision (mPrecision), and 98.77% Accuracy, surpassing state-of-the-art models and offering a novel approach for reliable grain boundary segmentation and analysis. [ABSTRACT FROM AUTHOR]

Internal pore defects are inevitable during laser powder bed fusion (LPBF), which have a significant impact on the mechanical properties of the parts. Therefore, detecting pores and obtaining their morphology will contribute to the quality of LPBF parts. Currently, supervised models are used for defect image detection, which requires a large amount of LPBF sample data, image labeling, and computing power equipment during the training process, resulting in high detection costs. This study extensively collected LPBF sample data and proposed a method for pore defect classification by obtaining its morphological features while detecting pore defects in optical microscopy (OM) images under various conditions. Compared with other advanced models, the proposed method achieves better detection accuracy on pore defect datasets with limited data. In addition, quickly detecting pore defects in a large number of labeling ground truth images will also contribute to the development of deep learning. In terms of image segmentation, the average accuracy scores of this method in the test images exceed 85%. The research results indicate that the algorithm proposed in this paper is suitable for quickly and accurately identifying pore defects from optical microscopy images. [ABSTRACT FROM AUTHOR]

Glomerulonephritis (GN) is the most common cause of end-stage renal failure worldwide; in most cases, it cannot be cured and can only delay the progression of the disease. At present, the main treatment methods include symptomatic therapy, immunosuppressive therapy, and renal replacement therapy. However, effective treatment of GN is hindered by issues such as steroid resistance, serious side effects, low bioavailability, and lack of precise targeting. With the widespread application of nanoparticles in medical treatment, novel methods have emerged for the treatment of kidney diseases. Targeted transportation of drugs, nucleic acids, and other substances to kidney tissues and even kidney cells through nanodrug delivery systems can reduce the systemic effects and adverse reactions of drugs and improve treatment effectiveness. The high specificity of nanoparticles enables them to bind to ion channels and block or enhance channel gating, thus improving inflammation. This review briefly introduces the characteristics of GN, describes the treatment status of GN, systematically summarizes the research achievements of nanoparticles in the treatment of primary GN, diabetic nephropathy and lupus nephritis, analyzes recent therapeutic developments, and outlines promising research directions, such as gas signaling molecule nanodrug delivery systems and ultrasmall nanoparticles. The current application of nanoparticles in GN is summarized to provide a reference for better treatment of GN in the future. [ABSTRACT FROM AUTHOR]

Detecting posture changes of athletes in sports is an important task in teaching and training competitions, but its detection remains challenging due to the diversity and complexity of sports postures. This paper introduces a single-stage pose estimation algorithm named yolov8-sp. This algorithm enhances the original yolov8 architecture by incorporating the concept of multi-dimensional feature fusion and the attention mechanism for automatically capturing feature importance. Furthermore, in this paper, angle extraction is conducted for three crucial motion joints in the motion scene, with polynomial corrections applied across successive frames. In comparison with the baseline yolov8, the improved model significantly outperforms it in A P 50 (average precision) aspects. Specifically, the model's performance improves from 84.5 AP to 87.1 AP, and the performance of A P 50 – 95 , A P M , and A P L aspects also shows varying degrees of improvement; the joint angle detection accuracy under different sports scenarios is tested, and the overall accuracy is improved from 73.2% to 89.0%, which proves the feasibility of the method for posture estimation of the human body in sports and provides a reliable tool for the analysis of athletes' joint angles. [ABSTRACT FROM AUTHOR]

Melatonin, an indole neurohormone secreted mainly by the pineal gland, has been found to be involved in a variety of liver diseases. However, the underlying mechanism by which melatonin ameliorates cholestatic liver injury is not fully understood. In this study, we investigated the mechanism by which melatonin attenuates cholestatic liver injury via inhibition of the inflammatory response. We measured the levels of serum melatonin in patients with obstructive cholestasis (n = 9), patients with primary biliary cholangitis (PBC) (n = 11), and control patients (n = 7). We performed experiments with C57BL/6 J mice treated with 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC) and melatonin to verify the role of melatonin in the mouse model of cholestasis. Primary mouse hepatocytes were used for in vitro studies to study the mechanisms of action of melatonin in cholestasis. The levels of serum melatonin were markedly increased and negatively correlated with serum markers of liver injury in cholestatic patients. As expected, oral administration of melatonin significantly attenuated cholestasis-induced liver inflammation and fibrosis in 0.1% DDC diet-fed mice. Further mechanistic studies in cholestatic mice and primary hepatocytes revealed that melatonin reduced the conjugate BA-stimulated expression of cytokines (e.g. Ccl2, Tnfα, and Il6) through the ERK/Egr1 signalling pathway in these models. The levels of serum melatonin are significantly elevated in cholestatic patients. Melatonin treatment ameliorates cholestatic liver injury by suppressing the inflammatory response in vivo and in vitro. Therefore, melatonin is a promising novel therapeutic strategy for cholestasis. [ABSTRACT FROM AUTHOR]

Metal FDM technology overcomes the problems of high cost, high energy consumption and high material requirements of traditional metal additive manufacturing by combining FDM and powder metallurgy and realizes the low-cost manufacturing of complex metal parts. In this work, 15-5PH stainless steel granules with a powder content of 90% and suitable for metal FDM were developed. The flowability and formability of the feedstock were investigated and the parts were printed. A two-step (solvent and thermal) debinding process is used to remove the binder from the green part. After being kept at 75 °C in cyclohexane for 24 h, the solvent debinding rate reached 98.7%. Following thermal debinding, the material's weight decreased by slightly more than 10%. Sintering was conducted at 1300 °C, 1375 °C and 1390 °C in a hydrogen atmosphere. The results show that the shrinkage of the sintered components in the X-Y-Z direction remains quite consistent, with values ranging from 13.26% to 19.58% between 1300 °C and 1390 °C. After sintering at 1390 °C, the material exhibited a relative density of 95.83%, a hardness of 101.63 HRBW and a remarkable tensile strength of 770 MPa. This work realizes the production of metal parts using 15-5PH granules' extrusion additive manufacturing, providing a method for the low-cost preparation of metal parts. And it provides a useful reference for the debinding and sintering process settings of metal FDM. In addition, it also enriches the selection range of materials for metal FDM. [ABSTRACT FROM AUTHOR]

Background & Aims: There is an unmet clinical need for non‐invasive tests to diagnose non‐alcoholic fatty liver disease (NAFLD) and individual fibrosis stages. We aimed to test whether urine protein panels could be used to identify NAFLD, NAFLD with fibrosis (stage F ≥ 1) and NAFLD with significant fibrosis (stage F ≥ 2). Methods: We collected urine samples from 100 patients with biopsy‐confirmed NAFLD and 40 healthy volunteers, and proteomics and bioinformatics analyses were performed in this derivation cohort. Diagnostic models were developed for detecting NAFLD (UPNAFLD model), NAFLD with fibrosis (UPfibrosis model), or NAFLD with significant fibrosis (UPsignificant fibrosis model). Subsequently, the derivation cohort was divided into training and testing sets to evaluate the efficacy of these diagnostic models. Finally, in a separate independent validation cohort of 100 patients with biopsy‐confirmed NAFLD and 45 healthy controls, urinary enzyme‐linked immunosorbent assay analyses were undertaken to validate the accuracy of these new diagnostic models. Results: The UPfibrosis model and the UPsignificant fibrosis model showed an AUROC of.863 (95% CI:.725–1.000) and 0.858 (95% CI:.712–1.000) in the training set; and.837 (95% CI:.711–.963) and.916 (95% CI:.825–1.000) in the testing set respectively. The UPNAFLD model showed an excellent diagnostic performance and the area under the receiver operator characteristic curve (AUROC) exceeded.90 in the derivation cohort. In the independent validation cohort, the AUROC for all three of the above diagnostic models exceeded.80. Conclusions: Our newly developed models constructed from urine protein biomarkers have good accuracy for non‐invasively diagnosing liver fibrosis in NAFLD. [ABSTRACT FROM AUTHOR]

Bile components play a critical role in maintaining gut microbiota homeostasis. In cholestasis, bile secretion is impaired, leading to liver injury. However, it remains to be elucidated whether gut microbiota plays a role in cholestatic liver injury. Here, we performed a sham operation and bile duct ligation (BDL) in antibiotic-induced microbiome depleted (AIMD) mice and assessed liver injury and fecal microbiota composition in these mice. Significant reductions in gut microbiota richness and diversity were found in AIMD-sham mice when compared to sham controls. Three-day BDL leads to great elevation of plasma ALT, ALP, total bile acids, and bilirubin where reduced diversity of the gut microbiota was also found. AIMD further aggravated cholestatic liver injury evidenced by significantly higher levels of plasma ALT and ALP, associated with further reduced diversity and increased Gram-negative bacteria in gut microbiota. Further analyses revealed increased levels of LPS in the plasma of AIMD-BDL mice where elevated expression of inflammatory genes and decreased expression of hepatic detoxification enzymes were also found in liver when compared to the BDL group. These findings indicate that gut microbiota plays a critical role in cholestatic liver injury. Maintaining its homeostasis may alleviate liver injury in patients with cholestasis. [ABSTRACT FROM AUTHOR]

Cholangiocytes play a crucial role in bile formation. Cholangiocyte injury causes cholestasis, including primary biliary cholangitis (PBC). However, the etiology of PBC remains unclear despite being characterized as an autoimmune disease. Using single-cell RNA sequencing (scRNA-seq), fluorescence-activated-cell-sorting, multiplex immunofluorescence (IF) and RNAscope analyses, we identified unique DUOX2+ACE2+ small cholangiocytes in human and mouse livers. Their selective decrease in PBC patients was associated with the severity of disease. Moreover, proteomics, scRNA-seq, and qPCR analyses indicated that polymeric immunoglobulin receptor (pIgR) was highly expressed in DUOX2+ACE2+ cholangiocytes. Serum anti-pIgR autoantibody levels were significantly increased in PBC patients, regardless of positive and negative AMA-M2. Spatial transcriptomics and multiplex IF revealed that CD27+ memory B and plasma cells accumulated in the hepatic portal tracts of PBC patients. Collectively, DUOX2+ACE2+ small cholangiocytes are pathogenic targets in PBC, and preservation of DUOX2+ACE2+ cholangiocytes and targeting anti-pIgR autoantibodies may be valuable strategies for therapeutic interventions in PBC. The aetiology of primary biliary cholangitis (PBC) remains unclear. Here, the authors find that the numbers of DUOX2 + ACE2 + small cholangiocytes in human and mouse livers are inversely associated with disease severity, and present data indicating that they may be the target of polymeric immunoglobulin receptor (pIgR) -mediated humoral responses, suggesting that preservation of these cells and targeting anti-pIgR autoantibodies may be valuable strategies for therapeutic interventions in PBC. [ABSTRACT FROM AUTHOR]

Semaphorin7a (SEMA7A), a membrane-anchored member of the semaphorin protein family, could be involved in a diverse range of immune responses via its receptor integrin β1. Recently, we reported that the SEMA7AR148W mutation (a gain-of-function mutation, Sema7aR145W in mice) is a risk factor for progressive familial intrahepatic cholestasis and nonalcoholic fatty liver disease via upregulated membrane localization. In this study, we demonstrated that integrin β1 is a membrane receptor for nuclear factor NF-kappa-B p105 (NF-κB p105) and a critical mediator of inflammation. Integrin β1 could interact with the C-terminal domain of NF-κB p105 to promote p50 generation and stimulate the NF-κB p50/p65 signalling pathway, upregulate TNF-α and IL-1β levels, and subsequently render hepatocytes more susceptible to inflammation. The induction of integrin β1 depends on elevated Sema7a membrane localization. Moreover, we revealed elevated levels of Sema7aWT (SEMA7AWT) in hepatocellular carcinoma (HCC) patients and an HCC mouse model. In line with our findings, the NF-κB p50/p65 pathway could also be activated by high Sema7a expression and repressed by integrin β1 silencing. In conclusion, our findings suggest that the Sema7aR145W (SEMA7AR148W) mutation and high Sema7aWT (SEMA7AWT) expression both activate the NF-κB p50/p65 pathway via integrin β1 and play a crucial role in inflammatory responses. CuX12wCaSN9kKvLmEwshrP Video Abstract [ABSTRACT FROM AUTHOR]

In this article, molecular dynamics simulation is used to primarily explore the lattice matching problem of solute atoms in different configurations after entering the Fe lattice at 0 K temperature. It reveals that by changing the initial configurations, metal solute atoms (Cr, Cu, Ti, Al) are more stable in the <110> configuration while C atom tends to stay in the octahedral gap of the BCC lattice. In addition, the matching mechanisms of different solute atoms in BCC Fe lattice in different configurations are elaborated in detail. The relaxation of metal solute atoms in different configurations eventually forms different stable structures while C atoms only exist in the nearest‐neighbor octahedral gap of the BCC Fe lattice in each configuration. [ABSTRACT FROM AUTHOR]

Molecular dynamics simulation is used to explore the changes in melting point of Fe nanomaterials under different initial configurations. What reveals in this simulation is that an S-curve with different curvature appears in the diagram owing to the hindering of total energy supply in larger damping coefficient by changing the temperature-damping coefficient (T-damp). In addition, the change in simulated theoretical melting points are found by comparing the initial configurations of different particles under the same conditions. [ABSTRACT FROM AUTHOR]

Semaphorin 7A (SEMA7A) is a membrane‐bound protein that involves axon growth and other biological processes. SEMA7A mutations are associated with vertebral fracture and Kallmann syndrome. Here, we report a case with a mutation in SEMA7A that displays familial cholestasis. WGS reveals a SEMA7AR148W homozygous mutation in a female child with elevated levels of serum ALT, AST, and total bile acid (TBA) of unknown etiology. This patient also carried a SLC10A1S267F allele, but Slc10a1S267F homozygous mice exhibited normal liver function. Similar to the child, Sema7aR145W homozygous mice displayed elevated levels of serum ALT, AST, and TBA. Remarkably, liver histology and LC‐MS/MS analyses exhibited hepatocyte hydropic degeneration and increased liver bile acid (BA) levels in Sema7aR145W homozygous mice. Further mechanistic studies demonstrated that Sema7aR145W mutation reduced the expression of canalicular membrane BA transporters, bile salt export pump (Bsep), and multidrug resistance‐associated protein‐2 (Mrp2), causing intrahepatic cholestasis in mice. Administration with ursodeoxycholic acid and a dietary supplement glutathione improved liver function in the child. Therefore, Sema7aR145W homozygous mutation causes intrahepatic cholestasis by reducing hepatic Bsep and Mrp2 expression. SYNOPSIS: A new type of progressive familial intrahepatic cholestasis (PFIC) was caused by the homozygous R148W mutation in SEMA7A. Preliminary mechanistic studies revealed that the mutation reduced hepatic expression of canalicular membrane bile acid (BA) efflux transporters Bsep and Mrp2, resulting in intrahepatic cholestasis. A female child patient presented with elevated levels of serum ALT, AST, and total bile acid (TBA) of unknown etiology.A SEMA7AR148W homozygous mutation was identified in the child patient.The Sema7aR145W (human R148W) homozygous mice displayed elevated levels of serum ALT, AST, and TBA, as well as hepatocyte hydropic degeneration and intrahepatic accumulation of conjugated BAs.The Sema7aR145W homozygous mutation reduced the expression of canalicular membrane Bsep and Mrp2 in mouse livers and sandwich‐cultured primary hepatocytes.Administration with ursodeoxycholic acid (UDCA) and a dietary supplement glutathione (GSH) were effective for this new type of PFIC. [ABSTRACT FROM AUTHOR]

We report here, for the first time, that interleukin 32 (IL32) expression is elevated in the liver of patients with obstructive cholestasis, and its upregulation ameliorates cholestatic liver injury by repressing bile acid (BA) synthesis and the inflammatory response. Cholestasis is characterized by excessive accumulation of intrahepatic BA that causes liver injury and inflammation.1,2 IL32, a predominantly intracellular proinflammatory mediator, is involved in infectious diseases and cancers,3-7 but at present, its role in cholestasis remains unknown. To reveal how IL32 represses BA synthesis in cholestasis, we assessed the expression of major genes involved in the biosynthesis and transportation of BA. Together, these data indicate that hepatic IL32 can ameliorate cholestatic liver injury by repressing BA synthesis and liver inflammation. [Extracted from the article]

The selective laser melting (SLM) process parameters significantly affect the bonding of melting powders and the substrate or deposited layer, and the microstructure of end-use components. In this study, single track, double track and cubic sample SLM experiments were carried out to investigate the effect of process parameters on the surface morphology of SLM-fabricated AlSi10Mg alloy. The hierarchical microstructures discriminated by the Si phase are observed in SLM-processed AlSi10Mg samples. The formation mechanism of the hierarchical microstructures is elucidated. The formula proved that the solidification rate (R) increases gradually from the boundary to the center of the melt pool. Coarse zones are formed by the instantaneous existence of an extremely high ratio of thermal gradient (G) and solidification rate at the melt pool boundary, where solidification microstructure grows planar. With the heat propagating, a gradual change of the G/R ratio appears and the microstructure turns to columnar-dendritic growth, creating the fine zones. [ABSTRACT FROM AUTHOR]