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In the present work, the modification effect of Te and the corresponding growth process of Mg2Si were clarified. With 0.5 wt% Te addition, the dendritic primary Mg2Si transformed to polygons, accompanied by a reduction in size from over ∼165 μm–∼18 μm. However, 2.0 wt% Te addition resulted in degradation of modification effect, and the morphology of Mg2Si changed to dendrite. Three-dimensional morphology of primary Mg2Si indicated that Te altered the morphology of primary Mg2Si from dendrites to polyhedrons surrounded by {111} and {100}. The modification mechanism of Te can be attributed to the heterogeneous nucleation and the doping of Te during the growth process of primary Mg2Si, which greatly contributed to dimension decrease and morphology evolution of primary Mg2Si respectively. With Te corporation, the relative surface energy between the {100} and {111} (r) drops, contributing to the exposure of {100}. Our work shows that the solute concentration under non-equilibrium solidification plays an important role in determining the final morphology of Mg2Si. The local segregation of Mg and Si solutes results in the degradation of dendrite arms along certain directions during the initial stage of crystal growth. Combined with the modifying effect of Te, which alters the surface energy of the crystal, the final crystal morphology deviates from its equilibrium state. Our study demonstrates that ultimate morphology and dimensions of primary Mg2Si can be determined simultaneously with the addition of certain modifiers, which can be achieved by regulating the growth and nucleation of Mg2Si at the same time.

Enhanced oil recovery (EOR) remains paramount for tapping into residual oil post primary and secondary recovery stages. While conventional methods hold their ground, the rise of chemical EOR, especially utilizing nanofluids, stands out due to its economic viability, enhanced recovery efficiency, and adaptability. The allure of nanofluid-enhanced oil recovery (N-EOR) has grown amongst researchers, albeit with underlying mechanisms that still harbor inconsistencies and ambiguities. This review meticulously examines the micro-mechanics of nanofluid interactions with heavy oil molecules, particles, and surfaces, the methodologies underpinning nanofluid-assisted EOR, multiphase displacement within pores and cores, and the fluid–solid coupling during such flows. Key findings show that nanofluids alter mineral wettability, adjust oil/water interfacial tension, shift structural disjoining pressure, and curtail viscosity. The prowess of N-EOR largely hinges on nanoparticle adsorption. Their affinity for mineral surfaces induces a shift towards water-wet states, while their interplay at oil/water boundaries can tweak interfacial tensions, fostering emulsification. One standout revelation is the adsorption of asphaltenes on nanoparticles, which mitigates asphaltene concentrations in heavy oil, thereby diminishing viscosity and amplifying oil extraction. Contrary to previous studies that merely spotlighted outcomes, our review delves deep into the complexities of nanoparticle adsorption, spotlighting the harmonious interplay between nanoparticle adsorption features and N-EOR operations. We unravel the intricacies of nanofluid behaviors during multiphase core displacement and provide a detailed overview of pertinent simulations. To encapsulate, this study demystifies potential N-EOR techniques and charts fresh research trajectories. Our revelations aim to enrich the comprehension of N-EOR phenomena, accentuating the pivotal role of nanofluids in multiphase core transitions and computational simulations. Furthermore, we highlight lingering challenges, directing the scientific community towards continued nanoparticle innovations and exploration. The novelty of this study is as follows: Nanofluids are mainly used in the third oil recovery process, and are not used in the first and second oil recovery processes. In addition, during the third oil recovery, some nanofluids may remain in the mine due to the sedimentation characteristics of nanomaterials. Currently, we are also committed to developing new processes to reduce the deposition of nanomaterials in the mine. At present, it is not clear how nanofluids enhance the oil recovery mechanism, and the oil recovery mechanism is relatively chaotic. In this article, we analyzed these mechanisms.

Metal halide perovskite has generated significant attention due to its high optical absorption coefficient, the tunability of bandgap, and its solution processing properties, all of which have led to a range of applications including solar cells, photodetectors, light-emitting diodes and lasers. However, the material's application as an optical modulator for high-energy ultrafast lasers is still limited by its slow nonlinear optical response, low damage threshold and the inferior stability. Herein, we developed a saturable absorber (SA) with the thermally stable Cs0.15FA0.85PbI2.85Br0.15 perovskite thin films as an optical modulator towards the near-infrared nanosecond passively Q-switched Nd:YAG laser generation for the first time. The Cs0.15FA0.85PbI2.85Br0.15 perovskite SA optical modulator produced an exceptional nonlinear optical response with a notable modulation depth of 15.1%, an ultrashort recovery time of 52.46 ps, and a high optical damage threshold exceeding 275.9 mJ/cm2. Of further significance, it displayed an excellent operational stability, and when incorporated into the oscillator of the Nd:YAG laser, allowed for a stable operation of 166 ns pulse laser with a center wavelength of 1.06 μm. The findings provide a pathway for the employment of the Cs0.15FA0.85PbI2.85Br0.15 perovskite SA optical modulator in near-infrared ultrafast laser applications.

The aim of this paper is to study the flexural behavior of reinforced concrete (RC) beams reinforced by engineered cementitious composite (ECC). The reinforcement effect of ECC on RC beam is studied by experiments, numerical simulation and theoretical analysis, considering the secondary load. Five beams were tested under static load, including two beams with ECC layers at the top and bottom (TBEB), two beams with ECC layers at the bottom (BEB) and one unreinforced beam. Different parameters in the test include reinforcement ratio, whether the top is equipped with ECC layer, and the thickness of the top ECC layer. The test data were used to validate the finite element model developed to simulate the bending response of the ECC layer reinforced beam. Then, a series of parameter studies were carried out to evaluate the effects of ECC layer thickness, reinforcement ratio and ECC elastic modulus on the reinforced beam. The experimental and numerical simulation results show that compared with other reinforced beams, TBEB equipped with 50 mm ECC layer at the top and bottom has better performance. Compared with the control beams, the ultimate bearing capacity is increased by 82.6 %, ductility and deformation capacity are increased by 2.38 times and 2.11 times, respectively. Finally, a calculation model for predicting the flexural capacity of TBEB is presented. The predicted flexural capacity is in good agreement with the experimental results.

Background: Constipation is one of the chronic gastrointestinal functional diseases that affects the quality of life. While Qi Lang Formula (QLF) has demonstrated effectiveness in alleviating constipation symptoms, its precise mechanism remains elusive. Methods: QLF was analyzed using UPLC-MS/MS. Targets for QLF were collected from SwissADME, Herb, ITCM databases, and constipation-related targets from scRNA-seq and Genecards databases. Overlapping targets suggested potential QLF therapy targets for constipation. Enrichment analysis used the KOBAS database. A ''drug-ingredient-target'' network was constructed with Cytoscape, and AutoDock verified active ingredient binding. H&E staining assessed colonic mucosa changes, TEM examined ICC structural changes. ELISA measured neurotransmitter levels, and Western blot verified QLF's effect on target proteins. ICC proliferation was observed through immunofluorescence. Results: We identified 89 targets of QLF associated with ICC-related constipation, with c-Kit emerging as the pivotal target. Molecular docking studies revealed that Atractylenolide Ⅲ, Apigenin, Formononetin, Isorhamnetin, Naringenin, and Ononin exhibited strong binding affinities for the c-Kit structural domain. QLF significantly enhanced first stool passage time, fecal frequency, fecal moisture content, and intestinal propulsion rate. Further analysis unveiled that QLF not only restored neurotransmitter levels but also mitigated colon muscular fiber ruptures. ICC ultrastructure exhibited partial recovery, while Western blot confirmed upregulated c-Kit expression and downstream targets. Immunofluorescence results indicated ICC proliferation post QLF treatment in rat colon. Conclusion: Our findings suggest that QLF may promote ICC proliferation by targeting SCF/c-Kit and its downstream signaling pathway, thereby regulating intestinal motility.

Pyruvate kinase deficiency is a rare hereditary erythrocyte enzyme disease caused by mutations in the pyruvate kinase liver and red blood cell gene. The clinical presentations of pyruvate kinase deficiency are significantly heterogeneous, ranging from just mild anemia to hemolytic crisis or even death. The proband in our study was a 2-year-old girl for severe skin and scleral icterus with progressive aggravation. We collected the family's data for further analysis. Whole exome genome sequencing of the pedigree revealed a novel compound heterozygous mutation, c.1097del (p.P366Lfs*12) and c.1493G > A (p.R498H), in the pyruvate kinase liver and red blood cell gene. Furthermore, molecular dynamics simulations were employed to uncover differences between the wild type and mutant pyruvate kinase liver and red blood cell proteins, focusing on structural stability, protein flexibility, secondary structure, and overall conformation. The combined bioinformatic tools were also utilised to assess the effects of the missense mutation on protein function. Thereafter, wild type and mutant plasmids were constructed and transfected into 293T cells, and Western blot assay was conducted to validate the impact of the mutations on the expression of pyruvate kinase liver and red blood cell protein. The data presented in our study enriches the genotype database and provides evidence for genetic counseling and molecular diagnosis of pyruvate kinase deficiency.

Acute kidney injury (AKI) presents a daunting challenge with limited therapeutic options. To explore the contribution of N6-methyladenosine (m6A) in AKI development, we have investigated m6A-modified mRNAs within renal tubular cells subjected to injuries induced by diverse stressors. Notably, while the overall level of m6A-modified RNA remains unaltered in renal tubular cells facing stress, a distinct phenomenon emerges—mRNAs bearing m6A methylation exhibit a pronounced tendency to accumulate within stress granules (SGs), structures induced in response to these challenges. Cumulation of m6A-modified mRNA in SGs is orchestrated by YTHDF1, a m6A ‘reader’ closely associated with SGs. Strikingly, AKI patients and various mouse AKI models showcase elevated levels of renal tubular YTHDF1. Depleting YTHDF1 within renal tubular cells leads to a marked reduction in m6A-modified mRNA accumulation within SGs, accompanied by an escalation in cell apoptosis under stress challenges. The significance of YTHDF1's protective role is further underscored by findings in AKI mouse models triggered by cisplatin or renal ischemia-reperfusion treatments. In particular, renal tubular-specific YTHDF1 knockout mice exhibit heightened AKI severity when contrasted with their wild-type counterparts. Mechanistic insights reveal that YTHDF1 fulfills a crucial function by safeguarding m6A-modified mRNAs that favor cell survival—exemplified by SHPK1—within SGs amid stress-challenged renal tubular cells. Our findings collectively shed light on the pivotal role of YTHDF1 in shielding renal tubules against AKI, through its adeptness in recruiting and preserving m6A-modified mRNAs within stress-induced SGs.

The magnetic field surrounding wireless power transfer (WPT) systems is difficult for the general public to discern in practice. To address this problem, a system that only measures the current in the coils for transferring and receiving to get the coupler’s magnetic field strength at a specific geographic location in space is proposed. The system includes a current transformer, inductive power-harvesting device, rectifier module, voltage regulation module, microprocessor, AD module, and display module. Due to the fixed mechanical structure and position of the coupler when working, the calculation model of the magnetic field of the coupler is established, and the magnetic structure factor based on the mechanical structure of the coupler is defined. The system can obtain power and operate based on the inductive power harvesting principle without damaging the WPT system structure. It also can realize the convenient display of the magnetic field and avoid the dependence on professional instruments when measuring the magnetic field of the coupler. In addition, it is easy to implement in practice.

Glycolytic metabolism enzymes have been implicated in the immunometabolism field through changes in metabolic status. PGK1 is a catalytic enzyme in the glycolytic pathway. Here, we set up a high-throughput screen platform to identify PGK1 inhibitors. DC-PGKI is an ATP-competitive inhibitor of PGK1 with an affinity of Kd = 99.08 nmol/L. DC-PGKI stabilizes PGK1 in vitro and in vivo, and suppresses both glycolytic activity and the kinase function of PGK1. In addition, DC-PGKI unveils that PGK1 regulates production of IL-1β and IL-6 in LPS-stimulated macrophages. Mechanistically, inhibition of PGK1 with DC-PGKI results in NRF2 (nuclear factor-erythroid factor 2-related factor 2, NFE2L2) accumulation, then NRF2 translocates to the nucleus and binds to the proximity region of Il-1β and Il-6 genes, and inhibits LPS-induced expression of these genes. DC-PGKI ameliorates colitis in the dextran sulfate sodium (DSS)-induced colitis mouse model. These data support PGK1 as a regulator of macrophages and suggest potential utility of PGK1 inhibitors in the treatment of inflammatory bowel disease.

Summary: To achieve a tension-free repair and reduce the recurrence rate of abdominal wall hernias (AWHs), various kinds of meshes have been applied in surgery. However, these meshes are reported to have problems with adhesion, infection, chronic pain and foreign body sensation. Recently, the introduction of cellular components on meshes seems to provide a new alternative to resolve these problems. This study aimed to evaluate the treatment efficacy of meshes seeded with cells (mesh-cell group) for AWHs, compared to meshes without cells (mesh group). Cochrane Library, Web of Science and PubMed were searched for studies that provided data about meshes, cells and AWHs. Twenty-six studies involving 578 animals were included. We found that the mesh-cell group could better control hernia recurrent than the mesh group (OR = 0.25, 95% CI = 0.15–0.42). Although the mesh-cell group did not reduce the incidence of adhesions (OR = 0.67, 95% CI = 0.26–1.74), it alleviated the extent of adhesions (WMD = −1.48, 95% CI = −1.86 to −1.10). In addition, the capillary density of mesh-cell group was also higher than that of mesh group (WMD = 26.27, 95% CI = 14.45–38.09). For incidence of infection, the two groups had no significant differences (OR = 0.94, 95% CI = 0.39–2.31). On the basis of our current evidence, AWHs were likely to receive a satisfied outcome in animal models when treated by meshes seeded with cells. Future studies with human trial data are needed to validate these findings.

Summary: Dermal adipocyte lineage cells are highly plastic and can undergo reversible differentiation and dedifferentiation in response to various stimuli. Using single-cell RNA sequencing of developing or wounded mouse skin, we classify dermal fibroblasts (dFBs) into distinct non-adipogenic and adipogenic cell states. Cell differentiation trajectory analyses identify IL-1-NF-κB and WNT-β-catenin as top signaling pathways that positively and negatively associate with adipogenesis, respectively. Upon wounding, activation of adipocyte progenitors and wound-induced adipogenesis are mediated in part by neutrophils through the IL-1R-NF-κB-CREB signaling axis. In contrast, WNT activation, by WNT ligand and/or ablation of Gsk3, inhibits the adipogenic potential of dFBs but promotes lipolysis and dedifferentiation of mature adipocytes, contributing to myofibroblast formation. Finally, sustained WNT activation and inhibition of adipogenesis is seen in human keloids. These data reveal molecular mechanisms underlying the plasticity of dermal adipocyte lineage cells, defining potential therapeutic targets for defective wound healing and scar formation.

Blue honeysuckle is a source of anthocyanins with great potential as a food colorant, and a healthy and functional food material, and contains much cyanidin 3-glucoside (C3G), which has many benefits for human health. A rapid, reliable, accurate quantification method of anthocyanin content in different varieties of blue honeysuckle is critical to help in breeding and selecting excellent varieties which are used in the food processing industry and healthcare industry. Our objective was to verify the modified quantification method of C3G and quantified C3G content in three blue honeysuckle varieties of ‘Berel’, ‘Lanjingling’ and ‘Wulan’ using the modified HPLC method by Agilent 1200 system and CAPCELL PAK C18 column (150 mmⅹ4.6 mm, I. D., 5 μm, Japan), with detection at 530 nm, the solvent flow rate was 1 mL/min, the temperature of the column chamber is 35 °C. The results indicated that the modified method was validated in terms of linearity (R2 = 0.999), precision (RSD = 0.61%), stability (RSD = 5.23%), and recovery with a good level, and C3G can be quickly quantified in blue honeysuckle. In addition, ‘Wulan’ contains the highest C3G level compared with ‘Lanjingling’ and ‘Berel’.

In this study, the preparation of magnetic Fe3O4/ZIF-8 (MFZ) and its adsorption properties for Cd(II) from water were investigated. Various characterizations demonstrate that the as-prepared MFZ has well magnetic-separation performance and thermal stability. In batch adsorption tests, the effects of pH, initial concentration, and adsorbent dosage were evaluated. According to the findings, when the pH is 7 and the dosage is 150 mg/L, the adsorption capacity for a 40 mg/L Cd(II) solution reaches 102.3 mg/g in 180 min. The Cd(II) adsorption processes was found to correspond to pseudo-first-order kinetics and Langmuir model according to the adsorption kinetics and isotherms. The Langmuir model predicted a maximal saturation adsorption capacity of 160.26 mg/g at 298 K. Thermodynamic analysis revealed that the Cd(II) adsorption is an endothermic, spontaneous process. Ion exchange, coordination reaction, and electrostatic interaction are all involved in Cd(II) adsorption by MFZ. The optimum conditions for Cd(II) adsorption were proposed and confirmed in accordance with the results of the response surface optimization experiments. Furthermore, regeneration tests demonstrate the great repeated regeneration ability of MFZ. According to the anticipated production cost, treating wastewater with a Cd(II) concentration of 40 mg/L would cost roughly US$ 8.35/m3. MFZ showed good potential for Cd(II) removal from water.

Active Grille Shutter is a very promising technology to improve the performance and fuel economy of automotive engines. The engine room temperature and the automobile aerodynamic resistance should both been considered when controlling the opening of the Active Grille Shutter. A very complete geometric model was built for exterior of an automobile and interior of its engine room at a scale of 1:1 with different openings of the Active Grille Shutter. An aerodynamic drag coefficient variation curve at different grille openings was obtained through simulation analysis, which coincided with the actual aerodynamic drag coefficient. Research was made on the Active Grille Shutter opening control strategy based on computational fluid dynamics method and with radiator's heat dissipating capacity and the automobile aerodynamic drag coefficient as the evaluation parameters. The Active Grille Shutter opening control strategy was obtained, which guarantees that the automobile aerodynamic resistance is the lowest at different travel speeds, and the engine room temperature is within the optimal range. Keywords: Active Grille Shutter, Engine room, Aerodynamic drag coefficient, Temperature

Inspired by the extracellular matrix (ECM), biomaterials have emerged as promising strategies in the biomedical research and engineering domain, offering unique characteristics for tissue regeneration, drug delivery, therapeutic interventions, and cellular investigations. The ECM, a dynamic network structure secreted by various cells, primarily comprises diverse proteins capable of facilitating tissue-ECM signaling and regulatory functions through its rich array of bioactive substances and multi-level structural properties. Drawing inspiration from the intricate structure and biochemical composition of natural ECM, researchers have developed various biomaterials to encapsulate these features and create biomimetic microenvironments, such as electrospinning, hydrogels/hydrogel microspheres, decellularized ECM(dECM), and ECM-mimicking peptides. Furthermore, by mimicking the structural composition of ECM components, ECM-inspired biomaterials exhibit varying degrees of ECM functionalization, including providing structural support, cell adhesion, signal transduction, mitigating immune responses, and tissue remodeling. In summary, the advancements in ECM-inspired biomaterials offer significant promise in addressing key challenges in the fields of tissue engineering, regenerative medicine, and drug delivery.

Mobile laser scanning (MLS) point clouds have increasingly been a significant data source for acquiring accurate three-dimensional (3D) semantic information from complex scenes. However, most current point cloud semantic segmentation methods heavily depend on a huge number of manually labeled training samples, which is labor-intensive and time-consuming. To address the above challenge, a weakly-supervised MLS point cloud semantic segmentation method integrated with data augmentation and active learning strategies is proposed (termed DAAL-WS). By taking advantage of our previously presented multi-branch weakly-supervised network (WSPointNet) in weakly supervisory signals and ensemble predictions, the DAAL-WS integrates WSPointNet with two essential components, i.e., an elevation-calibrated Mix3D (EC-Mix3D) data augmentation strategy and a point-level ensemble prediction-based (PLEP) active learning strategy. Specifically, the EC-Mix3D data augmentation strategy leverages elevation information to calibrate sub-point clouds and generates new contextual scenes by mixing the elevation-calibrated sub-point clouds, thereby augmenting the training point cloud distribution. Designed to reduce labeling redundancy, the PLEP active learning strategy selects the most important labeled points for model training. This strategy first measures the uncertainty for each unlabeled point by ensemble predictions and then employs a feature-distance suppression module to select the significant and discriminating unlabeled points for manual labeling. The proposed DAAL-WS method was evaluated on three public MLS datasets, including Toronto3D, Paris-Lille-3D, and WHU-MLS datasets, on which DAAL-WS obtained a competitive performance over fully-supervised baselines using only 0.015 %, 0.03 %, and 0.03 % labeled points, with mean Intersection over Union (mIoU) scores of 81.91 %, 82.59 %, and 60.36 %, respectively.

Certain outsourcing services for agricultural management in China, such as pest control in grain production, have experienced prolonged sluggishness, contrasting with the relatively high level of outsourcing services observed in harvesting, land preparation, and sowing. This study examines the feasibility of implementing whole-step outsourcing in grain production by conducting a case study of rice and maize production in Jiangsu, Jilin, and Sichuan provinces in China. The provision of outsourcing services hinges on two essential conditions: technological advancements fostering specialized production and economies of scale, coupled with a market size sufficient to realize the aforementioned potential economies of scale. The results showed that outsourcing pest control or harvesting services had varying economies of scale. The outsourcing services in pest control were less common than in harvesting services, and their marginal growth space of the economies of scale with technological change was also smaller. Determined by the operational characteristics of pest control itself, the market scale of its professional services is small. Therefore, achieving the whole-step outsourcing of grain production necessitates not only technological innovation but also effective policy interventions to overcome the constraints of market scale. Such interventions include (1) optimizing crop layouts between planning regions and reducing land fragmentation and (2) supplying timely and effective inter-regional agricultural information for service providers aided by information technology.

Lymphoma is a dissimilar collection of malignant neoplasms arising from the clonal propagation of lymphocytes. It is conventionally classified into two categories: Hodgkin lymphoma and non-Hodgkin lymphoma. The purpose of this study is to analyze the temporal patterns in the incidence of lymphoma worldwide over the past few decades and forecast the future trends from 2020 to 2044. Data on HL and NHL were obtained from the Global Burden of Disease Study 2019. In an effort to estimate the incidence rate trend, the Joinpoint regression analysis model was exploited. What's more, to project the disease burden by 2044, the Bayesian age-period-cohort analysis was employed. In 2019, higher incidence rates were observed in males and the elderly for both subtypes. Over the last three decades, a significant decline in the age-standardized incidence rate of HL was observed, while NHL has shown an increasing trend. By 2044, the age-standardized incidence rate of HL is anticipated to decrease in males and increase in females, while that of NHL is expected to rise. This study presents a new assessment of the spatiotemporal distributions of lymphoma. Significant emphasis should be placed on the effective management and long-term monitoring of patients to mitigate the potential future impact of the disease.

Background and aims: Normal serum transaminases and immunoglobulin G (IgG) levels are surrogate markers for hepatic histologic disease activity in autoimmune hepatitis (AIH). This study aimed to evaluate liver inflammation in patients with AIH with normal serum alanine aminotransferase (ALT) and IgG levels. Methods: Two hundred and five AIH patients who underwent liver biopsy in four medical centers were included. Logistic regression analysis was used to identify risk factors associated with advanced inflammation. Results: One hundred and thirty-one (63.9 %) AIH patients had advanced liver inflammation, and 108 (52.7 %) patients had advanced liver fibrosis. 60.0 % of patients with normal ALT and 51.7 % of patients with normal ALT and IgG had advanced inflammation. However, 76.7 % and 35.0 % of patients with or without advanced fibrosis with normal ALT had advanced inflammation, while the corresponding proportions of advanced inflammation were 78.6 % and 26.7 % in patients with normal ALT and IgG, respectively. Moreover, 81.0 % and 44.8 % of patients with and without cirrhosis with normal ALT had advanced inflammation, while the corresponding proportions were 83.3 % and 29.4 % in patients with normal ALT and IgG, respectively. Red cell distribution width (OR = 1.325, 95%CI 1.045–1.681, P = 0.020) and PT (OR = 1.514, 95%CI 1.138–2.014, P = 0.004) were independent factors associated with advanced inflammation. Conclusions: High proportion of advanced inflammation was found in AIH patients with normal ALT and IgG levels despite without advanced fibrosis. Although using non-invasive methods may contribute to rule out liver fibrosis in AIH patients with normal ALT and IgG levels, liver biopsy is encouraged to assess liver inflammation.

Currently, most pointcloud classification methods heavily rely on huge numbers of labeled samples. Notably, labeling a large-scale multispectral LiDAR (MS-LiDAR) pointcloud is time-consuming and costly. To address this issue, we propose a feature perturbation weakly supervised network for classifying MS-LiDAR pointclouds using a few labeled samples, termed as FPWS-Net. In the FPWS-Net, we innovatively design a dual semantic inference structure, including a primary semantic inference module and an auxiliary semantic inference module. To provide the network with rich, accurate supervised signals, we embed kernel point convolution (KPConv) into the network for modelling the contextual information of MS-LiDAR pointclouds and propagating the signals between labeled and unlabeled points. Additionally, to constrain feature perturbations resulting from the dual semantic inference structure, fully leverage unlabeled points, and fit the architecture of the FPWS-Net, we combine consistency constraint and mutual pseudo-labeling loss. The proposed FPWS-Net is tested on two datasets, and achieves at least an average F1-score of 83.69 %, an mIoU of 78.81 %, and an OA of 95.97 % using only 0.1 % labeled points. The comparative experimental results demonstrate that the FPWS-Net not only outperforms the state-of-the-art (SOTA) weakly supervised networks, but also achieves the comparable classification performance to the fully supervised methods in the airborne MS-LiDAR pointcloud classification tasks.

As recommended by Baveno VII consensus, the utilization of pre-emptive transjugular intrahepatic portosystemic shunt (pTIPS) has been considered as standard therapeutic approach for the management of acute variceal bleeding (AVB) associated with cirrhosis., but the 72-h window for pTIPS is too narrow. This study aimed to compare the clinical outcomes between patients who received

Introduction and Objectives: Chronic hepatitis B (CHB) may progress to more serious liver diseases and it is often accompanied by non-alcoholic fatty liver disease (NAFLD). NAFLD and CHB share risk factors for liver fibrosis and cirrhosis, but the influence of NAFLD on fibrosis progression is controversial. This retrospective study evaluated the prevalence of NAFLD in patients with CHB and investigated associations between NAFLD and liver fibrosis in a large multi-center cohort of hepatitis B patients submitted to liver biopsy. Patients and Methods: Treatment-naïve patients with CHB who underwent liver biopsy were analyzed. Propensity score matching (PSM) was performed to adjust the confounders between patients with and without NAFLD. Results: A total of 1496 CHB patients were included. Two hundred and ninety (19.4%) patients were diagnosed with NAFLD by liver biopsy. The proportions of significant liver fibrosis (52.8% vs. 63.9%, P

Introduction and Objectives: Seroclearance of hepatitis B e antigen (HBeAg) is an important treatment goal for patients with chronic hepatitis B (CHB). This study developed a nomogram for predicting HBeAg seroclearance in CHB patients treated with nucleos(t)ide analogues (NAs). Patients and Methods: Five hundred and sixty-nine CHB patients treated with NAs from two institutions between July 2016 to November 2021 were retrospectively included. One institution served as the training set (n = 374) and the other as the external validation set (n = 195). A predictive nomogram was established based on cox regression analysis. Results: The overall HBeAg seroclearance rates were 27.3 and 21.5 % after the median follow-up of 100.2 weeks and 65.1 weeks in the training set and validation set, respectively. In the training set, baseline aspartate aminotransferase, gamma-glutamyl transpeptidase, HBeAg, and hepatitis B core antibody levels were independently associated with HBeAg seroclearance and were used to establish the HBEAg SeroClearance (ESC)-nomogram. The calibration curve revealed that the ESC-nomogram had a good agreement with actual observation. The ESC-nomogram showed relatively high accuracy for predicting 48 weeks, 96 weeks, and 144 weeks of HBeAg seroclearance in the training set (AUCs: 0.782, 0.734 and 0.671) and validation set (AUCs: 0.699, 0.718 and 0.689). The patients with high ESC-nomogram scores (≥ 79.51) had significantly higher cumulative incidence of HBeAg seroclearance and seroconversion than patients with low scores (

Background: Patients with autoimmune hepatitis-primary biliary cholangitis (AIH-PBC) overlap syndrome have a worse prognosis compared to AIH or PBC alone and accurately predicting the severity and dynamically monitoring the progression of disease are therefore essential. We aimed to develop a nomogram-based model to predict advanced liver fibrosis in patients with AIH-PBC overlap syndrome. Methods: A total of 121 patients with AIH-PBC overlap syndrome were retrospectively included and randomly assigned to a development set and a validation set. Backward stepwise regression's best model with the lowest AIC was employed to create a nomogram. Diagnose accuracy was evaluated using the area under the receiver operator characteristic curve (AUROC), calibration analysis, and decision curve analysis (DCA) and was compared with aspartate aminotransferase-to-platelet ratio (APRI) and fibrosis index based on four factors-4 (FIB-4) score. Results: The median age of patients was 53.0 years (IQR: 46.0–63.0), and female patients accounted for 95.0 %. Platelets, globulin, total bilirubin, and prothrombin time were associated with advanced fibrosis (≥S3) and used to construct an AIH-PBC overlap syndrome fibrosis (APOSF)-nomogram (available online at https://ndth-zzy.shinyapps.io/APOSF-nomogram/). The AUROCs of APOSF-nomogram were 0.845 (95 % CI: 0.754–0.936) and 0.843 (95 % CI: 0.705–0.982) in development set and validation set respectively, which was significantly better than APRI and FIB-4. Calibration revealed that the estimated risk fits well with biopsy-proven observation. DCA outperformed APRI and FIB4 in terms of net benefit, demonstrating clinical utility. Conclusion: This novel non-invasive web-based online APOSF-nomogram provided a convenient tool for identifying advanced fibrosis in patients with AIH-PBC overlap syndrome. Further prospective, multicenter studies with large sample size are necessary to validate the applicability of APOSF-nomogram.

Introduction and Objectives: Assessment of liver inflammation plays a vital role in the management of patients with autoimmune hepatitis (AIH). We aimed to establish and validate a nomogram to predict severe liver inflammation in AIH patients. Patients and Methods: AIH patients who underwent liver biopsy were included and randomly divided into a training set and a validation set. Independent predictors of severe liver inflammation were selected by the least absolute shrinkage and selection operator regression from the training set and used to conduct a nomogram. Receiver characteristic curves (ROC), calibration curves, and decision curve analysis (DCA) were adopted to evaluate the performance of nomogram. Results: Of the 213 patients, female patients accounted for 83.1% and the median age was 53.0 years. The albumin, gamma-glutamyl transpeptidase, total bilirubin, red cell distribution width, prothrombin time, and platelets were independent predictors of severe inflammation. An online AIHI-nomogram was established and was available at https://ndth-zzy.shinyapps.io/AIHI-nomogram/. The calibration curve revealed that the AIHI-nomogram had a good agreement with actual observation in the training and validation sets. The area under the ROCs of AIHI-nomogram were 0.795 in the training set and 0.759 in the validation set, showing significantly better performance than alanine aminotransferase and immunoglobulin G in the training and validation sets, as well in AIH patients with normal ALT in the training set. DCA indicated that the AIHI-nomogram was clinically useful. Conclusions: This novel AIHI-nomogram provided an excellent prediction of severe liver inflammation in AIH patients and could be used for the better management of AIH.

Investigating the economic and carbon emission performance of green production in marketing cooperatives is important in clarifying China’s green transition path and promoting green development. In this paper, we estimated the economic and carbon emission performance of green production in marketing cooperatives using survey data from 340 samples in Shandong Province, China. The results show that green farming improved the performance of marketing cooperatives, and the larger the scale, the better the performance. It is still valid after weakening the endogenous problem through endogenous transformation regression. Particularly, green farming has a more significant effect on the performance of low-performing marketing cooperatives. In addition, the carbon emission per unit area of green produces are significantly lower than that of conventional produces, and the carbon emission per unit yield of most green produces lower than that of conventional produces. Therefore, strengthening the standardized development of marketing cooperatives, promoting green technology research and development, and standardizing the market supervision of green produces are important ways to achieve the economic and carbon emission performance of green produces in China, as well as to promote China's green transformation.

Circular RNAs (circRNAs) are highly stable RNA molecules that are attractive templates for expression of therapeutic proteins and non-coding RNAs. In eukaryotes, circRNAs are primarily generated by the spliceosome through backsplicing. Here, we interrogate different molecular elements including intron type and length, Alu repeats, internal ribosome entry sites (IRESs), and exon length essential for circRNA formation and exploit this information to engineer robust backsplicing and circRNA expression. Specifically, we leverage the finding that the downstream intron can tolerate large inserts without affecting splicing to achieve tandem expression of backspliced circRNAs and tRNA intronic circRNAs from the same template. Further, truncation of selected intronic regions markedly increased circRNA formation in different cell types in vitro as well as AAV-mediated circRNA expression in cardiac and skeletal muscle tissue in vivo. We also observed that different IRES elements and exon length influenced circRNA expression and translation, revealing an exonic contribution to splicing, as evidenced by different RNA species produced. Taken together, these data provide new insight into improving the design and expression of synthetic circRNAs. When combined with AAV capsid and promoter technologies, the backsplicing introns and IRES elements constituting this modular platform significantly expand the gene expression toolkit.