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Organic contamination of water results in significant risks to the biosphere and human health. The treatment of organic pollutants found in effluents urgently requires a green, sustainable, and effective approach. Herein, a straightforward one-step procedure was developed to create a photocatalytic mesh using iron mesh as the substrate and the g-C3N4/MIL-101(Fe) heterostructure as the photocatalytic material to activate persulfate (PS) for the removal of methyl orange (MO) from water. Fluorescence stereo microscopy (FSM), scanning electron microscopy (SEM), nitrogen adsorption–desorption, X-ray photoelectron spectroscopy (XPS), Fourier transform infrared (FT-IR) spectroscopy, and X-ray powder diffraction (XRD) were used to characterize the morphological and physicochemical properties of the synthesized composites, which confirmed the successful growth of g-C3N4/MIL-101(Fe) on the iron mesh. The outstanding PS activation capacity of g-C3N4/MIL-101(Fe) promoted electron transfer and accelerated the generation of SO4˙−, resulting in up to 91.05% MO degradation under 60 min of visible light exposure. The removal mechanisms were investigated by quenching experiments and electron spin resonance (ESR), which proved that ˙OH, ˙O2− and h+ contributed to the removal of MO. Moreover, the degradation pathways of MO and the as-formed intermediates were identified by high-resolution mass spectroscopy (HRMS). This study provides a convenient and economical method to build innovative photocatalytic systems for organic pollutant degradation. [ABSTRACT FROM AUTHOR]

Mung bean sprouts are widely consumed as a seasonal fresh vegetable, renowned for their affordability and richness in antioxidants and bioactive compounds. This study employed ultra‐high‐performance liquid chromatogram‐Q‐Exactive HF mass spectrometry (UHPLC‐QE‐MS) and multivariate statistical analysis to comprehensively evaluate the chemical profile of mung bean sprouts following sulfite immersion. The findings revealed a significant alteration in the overall chemical composition of mung bean sprouts following sodium sulfite immersion. Eleven components, including four sulfur‐containing compounds, were identified as characteristic markers distinguishing between non‐immersed and sodium sulfite‐immersed mung bean sprouts. Esterification and addition reactions were inferred to occur during sodium sulfite immersion, leading to the transformation of flavonoid and saponin sulfates. Commercial samples analysis indicated that sulfur‐containing compounds were detectable in 9 of 11 commercial mung bean sprouts. Meanwhile, when sodium sulfite concentration exceeded 3.00 mg/mL and immersion time exceeded 360 min, the contents of total polyphenol and flavonoid were significantly reduced and the antioxidant activity was adversely influenced. [ABSTRACT FROM AUTHOR]

We conduct an in-depth spectral analysis of ∼1 Ms XMM-Newton data of the narrow line Seyfert 1 galaxy RE J1034+396. The long exposure ensures high spectral quality and provides us with a detailed look at the intrinsic absorption and emission features toward this target. Two warm-absorber (WA) components with different ionization states ( log (ξ / erg cm s − 1) ∼ 4 and log (ξ / erg cm s − 1) ∼ 2.5 – 3 ) are required to explain the intrinsic absorption features in the Reflection Grating Spectrometer spectra. The estimated outflow velocities are around −1400 km s−1 and −(100–300) km s−1 for the high- and low-ionization WA components, respectively. Both absorbers are located beyond the broad-line region and cannot significantly affect the host environment. We analyze the warm absorbers in different flux states. We also examine the 2007 May observation in the low and high phases of quasiperiodic oscillation (QPO). In contrast to previous analyses showing a negative correlation between the high-ionization WA and the QPO phase, we have found no such variation in this WA component. We discover a broad emission bump in the spectral range of ∼12–18 Å, covering the primary features of the high-ionization WA. This emission bump shows a dramatic change in different source states, and its intensity may positively correlate with the QPO phase. The absence of this emission bump in previous work may contribute to the suggested WA–QPO connection. [ABSTRACT FROM AUTHOR]

Summary: Salvianolic acids (SA), such as rosmarinic acid (RA), danshensu (DSS), and their derivative salvianolic acid B (SAB), etc. widely existed in Lamiaceae and Boraginaceae families, are of interest due to medicinal properties in the pharmaceutical industries. Hundreds of studies in past decades described that 4‐coumaroyl‐CoA and 4‐hydroxyphenyllactic acid (4‐HPL) are common substrates to biosynthesize SA with participation of rosmarinic acid synthase (RAS) and cytochrome P450 98A (CYP98A) subfamily enzymes in different plants. However, in our recent study, several acyl donors and acceptors included DSS as well as their ester‐forming products all were determined in SA‐rich plants, which indicated that previous recognition to SA biosynthesis is insufficient. Here, we used Salvia miltiorrhiza, a representative important medicinal plant rich in SA, to elucidate the diversity of SA biosynthesis. Various acyl donors as well as acceptors are catalysed by SmRAS to form precursors of RA and two SmCYP98A family members, SmCYP98A14 and SmCYP98A75, are responsible for different positions' meta‐hydroxylation of these precursors. SmCYP98A75 preferentially catalyses C‐3′ hydroxylation, and SmCYP98A14 preferentially catalyses C‐3 hydroxylation in RA generation. In addition, relative to C‐3′ hydroxylation of the acyl acceptor moiety in RA biosynthesis, SmCYP98A75 has been verified as the first enzyme that participates in DSS formation. Furthermore, SmCYP98A enzymes knockout resulted in the decrease and overexpression leaded to dramatic increase of SA accumlation. Our study provides new insights into SA biosynthesis diversity in SA‐abundant species and versatility of CYP98A enzymes catalytic preference in meta‐hydroxylation reactions. Moreover, CYP98A enzymes are ideal metabolic engineering targets to elevate SA content. [ABSTRACT FROM AUTHOR]

Objectives Materials and Methods Results Conclusions Head and neck squamous cell carcinoma present challenges in effective treatment, with 50%–60% of cases exhibiting recurrence or metastasis, often resistant to surgery alone. Immunotherapy, a promising approach, does not guarantee benefits for all patients. Thus, the imperative lies in identifying reliable biomarkers for predicting immunotherapy efficacy. FAM3D, a protein‐coding gene known for its potent chemotactic activity in human peripheral blood monocytes and neutrophils, plays a crucial role in regulating tumour immune responses and holds promise as an immune biomarker.We employed comprehensive database analysis to scrutinise FAM3D, evaluating its gene expression, mutation profiles and prognostic implications in head and neck squamous cell carcinoma, along with its associations with clinical characteristics and immune cell infiltration. Complementary functional experiments were conducted to delve into the potential mechanisms governed by FAM3D.Our findings establish a significant correlation between low FAM3D expression and the invasiveness and metastatic potential of head and neck squamous cell carcinoma. FAM3D likely exerts its influence through the regulation of epithelial–mesenchymal transition.FAM3D emerges as a valuable biomarker for predicting the responsiveness of patients with head and neck squamous cell carcinoma to immunotherapy, holding substantial clinical diagnostic and therapeutic relevance. [ABSTRACT FROM AUTHOR]

Chemical reduction of a [4]cumulene with cesium metal was explored, and the structural changes stemming from electron acquisition are detailed using X‐ray crystallography. It is found that the [4]cumulene undergoes dramatic geometric changes upon stepwise reduction, including bending of the cumulenic core and twisting of the endgroups from orthogonal to planar. The structural deformation is consistent with early theoretical reports that suggest that the twisting should occur upon reduction of both even and odd [n]cumulenes. The current results, on the other hand, are inconsistent with a previous experimental study of a [3]cumulene in which the predicted twisting is not observed upon reduction. DFT calculations reveal that the barrier to deformation is an order of magnitude lower in a [3]cumulene than a [4]cumulene, allowing the barrier to be overcome in the solid‐state. [ABSTRACT FROM AUTHOR]

Subsampling plays a crucial role in tackling problems associated with the storage and statistical learning of massive datasets. However, most existing subsampling methods are model-based, which means their performances can drop significantly when the underlying model is misspecified. Such an issue calls for model-free subsampling methods that are robust under diverse model specifications. Recently, several model-free subsampling methods have been developed. However, the computing time of these methods grows explosively with the sample size, making them impractical for handling massive data. In this article, an efficient model-free subsampling method is proposed, which segments the original data into some regular data blocks and obtains subsamples from each data block by the data-driven subsampling method. Compared with existing model-free subsampling methods, the proposed method has a significant speed advantage and performs more robustly for datasets with complex underlying distributions. As demonstrated in simulation experiments, the proposed method is an order of magnitude faster than other commonly used model-free subsampling methods when the sample size of the original dataset reaches the order of 107. Moreover, simulation experiments and case studies show that the proposed method is more robust than other model-free subsampling methods under diverse model specifications and subsample sizes. [ABSTRACT FROM AUTHOR]

Background: It is known that heparinoid, a mucopolysaccharide polysulfate, is effective in improving rough skin and promoting blood circulation as medicines for diseased areas. However, heparinoid has a molecular weight of more than 5000 and cannot penetrate healthy stratum corneum. Objective: We tested the efficacy of sulfated oligosaccharides with a molecular weight of less than 2000 on the human skin barrier function and moisturizing function. Methods: We measured the transepidermal water loss (TEWL) of a three‐dimensional human epidermis model cultured for 3 days after topical application of sulfated oligosaccharides, then observed the effects on TEWL suppression. The mRNA levels of proteins involved in intercellular lipid transport and storage in the stratum corneum, and moisture retention were measured using RT‐qPCR. Results: An increase in the mRNA levels of the ATP‐binding cassette subfamily A member 12 (ABCA12), which transports lipids into stratum granulosum, was confirmed. Increases were also observed in the mRNA levels of filaggrin (FLG), which is involved in the generation of natural moisturizing factors, and of caspase‐14, calpain‐1 and bleomycin hydrolase, which are involved in the degradation of FLG. Antibody staining confirmed that the application of sodium trehalose sulfate to 3D model skin resulted in more ABCA12, ceramide, transglutaminase1, and FLG than those in controls. In a randomized, placebo‐controlled, double‐blind study, participants with low stratum corneum water content applied a lotion and emulsion containing sodium trehalose sulfate to their faces for 4 weeks. Sodium trehalose sulfate decreased the TEWL and increased the stratum corneum water content. Conclusion: These results suggest that cosmetics containing sodium trehalose sulfate act on the epidermis by increasing barrier factors and moisturizing factors, thereby ameliorating dry skin. [ABSTRACT FROM AUTHOR]

Plants are confronted with various environmental stresses and develop sophisticated adaptive mechanisms. Our previous work demonstrated that the crosstalk of flg22 and ultraviolet (UV)‐B‐induced signalling cascades reprograms the expression of flavonol pathway genes (FPGs), benefiting plant defence responses. Although several transcription factors have been identified to be involved in this crosstalk, the underlying mechanism is largely unclear. Here, we analyzed microRNAs (miRNAs) and identified 126, 129 and 113 miRNAs with altered abundances compared to untreated control in flg22‐, UV‐B‐ and flg22/UV‐B‐treated seedlings, respectively. Two distinct modules were identified: The first consists of 10 miRNAs repressed by UV‐B but up‐regulated by flg22, and the second with five miRNAs repressed by flg22 but up‐regulated by UV‐B. In Arabidopsis, the knockdown of miR858a, a representative of module I, increased the abundance of CHS (a marker gene for FPGs), whereas its overexpression reduced CHS. Conversely, knockout of miR164b from module II decreased CHS and its overexpression increased CHS transcript levels. These data suggest a decisive role of miRNAs in the crosstalk. In the next, we described the interaction between miR858a and its target MYB111 (a positive regulator of FPGs) from module I in detail. We showed that MYB111 was profoundly post‐transcriptionally regulated by miR858a during the crosstalk, whose expression was specifically but antagonistically controlled by UVR8‐ and FLS2‐mediated signallings. Moreover, transcriptional monitoring using the GUS reporter gene demonstrates that miRNA‐mediated posttranscriptional regulation is the main driving force in reprogramming the expression of FPGs and regulates plant adaptation to multiple concurrent environmental stresses. Summary statement: MicroRNAs (miRNAs) act as 'master switches' in the crosstalk between flg22 and ultraviolet‐B‐induced signalling cascades. We show that miRNA‐mediated posttranscriptional regulation is the main driving force for reprogramming the expression of flavonol pathway genes to protect plants from multiple, concurrent environmental stresses. [ABSTRACT FROM AUTHOR]

Due to the high mobility and strong concealment characteristics of synthetic aperture radar (SAR) targets, the corresponding SAR datasets exhibit few-shot data properties, and there is a significant lack of research on few-shot target detection methods in the SAR domain. Furthermore, this study is subject to the following limitations: the scarcity of SAR data and significant sample variations make it difficult to control class centers using existing methods, and the learned models tend to be biased towards base classes while easily confusing novel classes with base classes. These limitations hinder the generalization of knowledge from base classes when detecting novel class targets. In this work, we propose a novel few-shot SAR target detection method based on Gaussian meta-feature balanced aggregation (GMFBA), which is based on meta-learning. Specifically, we first propose two novel feature aggregation methods with Gaussian metrics, namely Gaussian projection distribution metric (GPDM) and Gaussian kernel mean embedding metric (GKMEM). By estimating class distribution with variational autoencoders to replace traditional class prototypes, we sample from robust distributions and measure projection Wasserstein distance and Gaussian kernel mean embedding distance with prior distributions, obtaining the best robust support features under the optimal measurement results. Then, based on GPDM and GKMEM, we propose a novel balanced inter-class uncorrelated aggregation (BICUA) method, which extracts support features of each class according to the proportion of samples and aggregates them with query features in a balanced manner, promoting feature representation between different classes and ensuring no interference between features to significantly reduce confusion between base classes and novel classes. Specifically, GMFBA outperforms the state-of-the-art method G-FSOD significantly in all settings, achieving state-of-the-art performance. In contrast, the novel class detection performance of GMFBA has shown an average improvement of 8.56% on split1 and split2 of the SRSDD-v1.0 dataset, and an average improvement of 1.41% on split1 and split2 of the MSAR-1.0 dataset. The code is available at https://github.com/Caltech-Z/GMFBA. [ABSTRACT FROM AUTHOR]

The surface properties of the anode porous transport layer (PTL) significantly impact the performance of a proton exchange membrane water electrolyzer (PEMWE). The pretreatment (ultrasonic cleaning and acid etching) of a pristine titanium (Ti) felt before it is used as the anode PTL and the surface structural modification of a PTL are two critical methods to improve the performance of an electrolyzer. However, the mechanisms for the pretreatment and surface modification need to be clarified. In this paper, five electrolyzers with five different-fabricated-ways anode PTLs are tested and compared based on I–V curves, EIS curves, and physical characterization techniques. X-ray photoelectron spectroscopy (XPS) results show that the ultrasonic cleaning pretreatment of PTL can improve hydrophilicity by increasing the amount of hydroxyl. In addition, EIS results indicate the significant charge transfer resistance of electrolyzer taking pristine titanium felt as PTL. Adopting the carbon paper as a microporous layer (MPL) or treated titanium felt with acid etching can eliminate or reduce the charge transfer resistance of the electrolyzer. Finally, the mechanism of surface pretreatment and modification of PTL are disclosed to cast light on the improvement of PTLs in further study. • Mechanisms of pretreatments and surface modifications for PTLs are investigated. • Electrolyzers with different-fabricated-ways anode PTLs are tested and compared. • Ultrasonic cleaning strengthens the hydrophilicity of the PTL. • Supplementing MPL or acid pretreatments can improve the anode charge transfer. • Improved mass and electron transport are the reasons for the improved performance. [ABSTRACT FROM AUTHOR]

This study demonstrates the applicability of an explicit model predictive controller (ExMPC) to the air mass flow control in a fuel cell electric vehicle. The two control tasks comprise the supply of air to the fuel cell stack for the electrochemical reaction as well as the dilution of hydrogen in the outlet gas flow of the cathode subsystem. With the aim of achieving zero control deviation for steady states, the linear model in the state observer is extended with two perturbations. During the experimental validation of the proposed controller, fast dynamics are achieved with the ExMPC, which generally exploits the limits of the control variables. After the calibration of the ExMPC, the final comparison to a set of reference PI controllers reveals a significant improvement in the closed-loop behavior of the cathode subsystem during step changes in the controller setpoints. • An explicit model predictive controller is applied to a fuel cell electric vehicle. • Delays for control and controlled variables are considered. • The operating limits of the control variables are exploited during dynamic operation. • Improved closed-loop behavior is achieved in comparison to reference PI controllers. [ABSTRACT FROM AUTHOR]

Background: Familial gigantiform cementoma (FGC) is a rare tumor characterized by the early onset of multi‐quadrant fibro‐osseous lesions in the jaws, causing severe maxillofacial deformities. Its clinicopathological features overlap with those of other benign fibro‐osseous lesions. FGC eventually exhibits progressively rapid growth, but no suspected causative gene has been identified. Methods: In this study, three patients with FGC were recruited, and genomic DNA from the tumor tissue and peripheral blood was extracted for whole‐exome sequencing. Results: Results showed that all three patients harbored the heterozygous mutation c.1067G > A (p.Cys356Tyr) in the ANO5 gene. Furthermore, autosomal dominant mutations in ANO5 at this locus have been identified in patients with gnathodiaphyseal dysplasia (GDD) and are considered a potential causative agent, suggesting a genetic association between FGC and GDD. In addition, multifocal fibrous bone lesions with similar clinical presentations were detected, including five cases of florid cemento‐osseous dysplasia, five cases of polyostotic fibrous dysplasia, and eight cases of juvenile ossifying fibromas; however, none of them harbored mutations in the ANO5 gene. Conclusion: Our findings indicate that FGC may be an atypical variant of GDD, providing evidence for the feasibility of ANO5 gene testing as an auxiliary diagnostic method for complex cases with multiple quadrants. [ABSTRACT FROM AUTHOR]

Gestational diabetes mellitus (GDM) is a pathological condition during pregnancy characterized by impaired glucose tolerance, and the failure of pancreatic beta‐cells to respond appropriately to an increased insulin demand. However, while the majority of women with GDM will return to normoglycemia after delivery, they have up to a seven times higher risk of developing type 2 diabetes during midlife, compared with those with no history of GDM. Gestational diabetes mellitus also increases the risk of multiple metabolic disorders, including non‐alcoholic fatty liver disease, obesity, and cardiovascular diseases. Lipid metabolism undergoes significant changes throughout the gestational period, and lipid dysregulation is strongly associated with GDM and the progression to future type 2 diabetes. In addition to common lipid variables, discovery‐based omics techniques, such as metabolomics and lipidomics, have identified lipid biomarkers that correlate with GDM. These lipid species also show considerable potential in predicting the onset of GDM and subsequent type 2 diabetes post‐delivery. This review aims to update the current knowledge of the role that lipids play in the onset of GDM, with a focus on potential lipid biomarkers or metabolic pathways. These biomarkers may be useful in establishing predictive models to accurately predict the future onset of GDM and type 2 diabetes, and early intervention may help to reduce the complications associated with GDM. [ABSTRACT FROM AUTHOR]

The proposed methodology presents a comprehensive analysis of soft sensor modeling techniques for air ozone prediction. We compare the performance of three different modeling techniques: LR (linear regression), NN (neural networks), and RFR (random forest regression). Additionally, we evaluate the impact of different variable sets on prediction performance. Our findings indicate that neural network models, particularly the RNN (recurrent neural networks), outperform the other modeling techniques in terms of prediction accuracy. The proposed methodology evaluates the impact of different variable sets on prediction performance, finding that variable set E demonstrates exceptional performance and achieves the highest average prediction accuracy among various software sensor models. In comparing variable set E and A, B, C, D, it is observed that the inclusion of an additional input feature, PM10, in the latter sets does not improve overall performance, potentially due to multicollinearity between PM10 and PM2.5 variables. The proposed methodology provides valuable insights into soft sensor modeling for air ozone prediction.Among the 72 sensors, sensor NNR[Y]C outperforms all other evaluated sensors, demonstrating exceptional predictive performance with an impressive R2 of 0.8902, low RMSE of 24.91, and remarkable MAE of 19.16. With a prediction accuracy of 81.44%, sensor NNR[Y]C is reliable and suitable for various technological applications. [ABSTRACT FROM AUTHOR]

AbstractPurposeMethodsResultsConclusionTo identify articles that evaluated the efficacy of tele-rehabilitation after total hip replacement and to provide a reference for clinical decision-making and continuous improvement of rehabilitation exercise intervention strategies for clinical medical staff.Embase, PubMed, Web of Science, Medline, China National Knowledge Network and Google Scholar databases were searched for randomized controlled trials of tele-rehabilitation after total hip replacement from inception to March 4, 2023. The two researchers used the PEDro scale to assess the methodological quality of the included studies. Two researchers used the PEDro scale to assess the methodological quality of the included studies.Ten studies with 632 participants were analysed.Compared to face-to-face rehabilitation, Internet-based telerehabilitation showed better outcomes in Get-up and go test (SMD −0.54, 95% CI −0.79 to −0.29). telerehabilitation showed no significant difference in outcomes of other functional tests and functional questionnaires.In this systematic review and meta-analysis, internet-based tele-rehabilitation and face-to-face rehabilitation had the same effect on patients after total hip replacement, and compliance was higher in the tele-rehabilitation group, but attention should be devoted to standardizing this form of rehabilitation to avoid adverse events. In addition, the number and quality of included studies in this study are limited, and the outcome indicators and intervention means have not been unified. More high-quality studies are needed to verify these conclusions to better evaluate the effectiveness and advantages of telerehabilitation.Implications for rehabilitationWith the development of science and technology, remote rehabilitation technology will be applied to various fields of rehabilitation, providing personalized and extensive rehabilitation services.The application of tele-rehabilitation technology to postoperative rehabilitation after total hip arthroplasty is feasible and can reduce the workload of healthcare professionals to a certain extent.This review evaluated the randomized controlled trials of telerehabilitation after total hip arthroplasty, and the results showed that the clinical efficacy of telerehabilitation after total hip arthroplasty was not inferior to that of traditional rehabilitation.With the development of science and technology, remote rehabilitation technology will be applied to various fields of rehabilitation, providing personalized and extensive rehabilitation services.The application of tele-rehabilitation technology to postoperative rehabilitation after total hip arthroplasty is feasible and can reduce the workload of healthcare professionals to a certain extent.This review evaluated the randomized controlled trials of telerehabilitation after total hip arthroplasty, and the results showed that the clinical efficacy of telerehabilitation after total hip arthroplasty was not inferior to that of traditional rehabilitation. [ABSTRACT FROM AUTHOR]

Cell mechanical properties provide a label-free marker for indicating cell states and disease processes. Although microfluidic deformability cytometry has demonstrated great potential and successes in mechanical phenotyping in recent years, its universal applicability for characterizing multiple sizes of cells using a single device has not been realized. Herein, we propose high-throughput adjustable deformability cytometry integrated with three-dimensional (3D) elasto-inertial focusing and a virtual fluidic channel. By properly adjusting the flow ratio of the sample and sheath, the virtual fluidic channel in a wide solid channel can generate a strong shear force in the normal direction of the flow velocity and simultaneously squeeze cells from both sides to induce significant cell deformation. The combination of elasto-inertial focusing and a virtual fluidic channel provides a great hydrodynamic symmetrical force for inducing significant and homogeneous cell deformation. In addition, our deformability cytometry system not only achieves rapid and precise cell deformation, but also allows the adjustable detection of multiple sizes of cells at a high throughput of up to 3000 cells per second. The mini-bilateral segmentation network (mini-BiSeNet) was developed to identify cells and extract features quickly. The classification of different cell populations (A549, MCF-7, MDA-MB-231, and WBCs) was carried out based on the cell size and deformation. By applying deep learning to cell classification, a high accuracy reaching approximately 90% was achieved. We also revealed the potential of our deformability cytometry for characterizing pleural effusions. The flexibility of our deformability cytometry holds promise for the mechanical phenotyping and detection of various biological samples. [ABSTRACT FROM AUTHOR]

Objective: Hip arthroscopy has recently appeared as a successful therapy in treating borderline developmental dysplasia of the hip (BDDH). This study aimed to describe the minimal 2‐year follow‐up after hip arthroscopy for patients with BDDH in the Asian population and use the combination of lateral center edge angle (LCEA) and alpha angles to detect the appearance of impingement in the BDDH population. Methods: This retrospective investigation was conducted utilizing information from arthroscopically treated BDDH patients in 2018 and 2019. The following patient‐reported outcomes were reported: modified Harris Hip Score, Hip Outcome Score‐Activities of Daily Living, International Hip Outcome Tool 12‐component form, and Visual Analog Scale. We also considered the clinical data regarding radiological measurements, intraoperative findings, interventions, complications, and subsequent surgical revisions, in the analysis of combination angles in detecting the occurrence of impingement. Patients with asymptomatic contralateral hips from traumatic hip injury (pelvic fracture) served as the control group. A 2:1 propensity score matching was based on age, sex, and BMI. A receiver operating characteristic curve (ROC) was used to identify the thresholds of combination angles and their accuracies. Results: A total of 77 hips met the inclusion and exclusion requirements. After the follow‐up period, most patients showed a considerable improvement in patient‐reported outcomes compared to their preoperative values (P < 0.001 for all). The overall rate of complications was 5.2%, whereas the rate of revisions was 3.9%. Increasing preoperative alpha angle age was significantly positively correlated with improving patient‐reported outcomes. The combined angle cut‐off was determined to be 80.5° (AUC, 0.858; 95% CI: 0.757–0.938; sensitivity (SE), 98.1%; specificity (SP), 74.1%; P < 0.001) for the occurrence of impingement in BDDH population. Conclusion: Good patient‐reported outcomes and low revision rates can be expected in the BDDH population with careful selection of patients in Asian populations. A combination angle >80.5° could be a reliable predictive factor of impingement in BDDH populations. [ABSTRACT FROM AUTHOR]

How to prepare spherical boron nitride (BN) particle with different size is an extremely challenging work. In this paper, the controllable preparation of spherical BN particle from nanospheres to microsphere was realized by changing the synthesis temperature of trimethyl borate (B(OMe) 3) and ammonia. The spherical precursor (SP) with high oxygen content was obtained first, and then it was heated under flowing ammonia atmosphere to form stable boron nitride microspheres (BNMS). The BNMS exhibits onion-like cavitation structure with a diameter of 0.8–3.4 μm. The effects of the lower reaction temperature (700–825 °C) and gas flow rate on the spherical precursor are discussed. A possible mechanism is proposed to explain the formation of precursors and the appearance of onion-like structure. It is believed that the formation of microsphere is due to the deposition and growth of BO species during the flow process of nanosphere. In addition, the effect of the addition of BNMS on the thermal conductivity of epoxy resin (EP) composites was investigated. [ABSTRACT FROM AUTHOR]

Using structural health monitoring (SHM) techniques, Brillouin optical time-domain analysis (BOTDA) sensors can be mounted along the main box girder entire length of a long-span suspension bridge, and the high-density measured points strain monitoring data can be obtained. However, insufficient research has been conducted on accurately diagnosing the structural condition of a long-span suspension bridge by using the abovementioned strain monitoring data. To address this issue, a cross-diagnosis method that determines the structural condition of long-span suspension bridges based on the distributed strain data spatial window is proposed in this study. First, the distributed strain data spatial window based on a long-span suspension bridge structural symmetry is defined. Then, a method that divides the distributed strain data of the bridge main box girder into different spatial windows using mutual information between the strain data from BOTDA sensors is presented. The special symmetry of the environmental temperature effect on the spatial window structural performance is carried out to separate the temperature effect from the strain monitoring data; this process can effectively reduce the interference of ambient temperature on the results of the structural condition diagnosis. Second, using a convolutional neural network, a diagnosis index of the structural condition is generated by using the correlation model between the high-density measured points and the distributed strain data belonging to one whole spatial window. Regarding one spatial window, the proposed diagnosis index can effectively reflect the variation in the distributed strain correlation model caused by the damaged condition of the long-span suspension bridge to achieve cross-diagnosis of the structural condition of the bridge. Finally, the effectiveness of the proposed method is demonstrated through a numerical simulation using strain monitoring data obtained from a real bridge. [ABSTRACT FROM AUTHOR]

Bioaccessibility, defined as the fraction of inorganic arsenic (iAs) that becomes soluble in the GI tract and ready for absorption, is one of the determining factors that impacts the iAs exposure through rice consumption. The objective of this study is to, based on published data, quantitatively characterize the bioaccessibility of iAs in rice and identify its influencing factors. A total of 256 published papers were identified and reviewed, among which eight were selected as they provide adequate data to support the analyses of bioaccessibility and influencing factors. A meta-analysis was performed to characterize the probabilistic distribution of the bioaccessibility of iAs. A general regression analysis was performed to identify the influencing factors of the bioaccessibility. A beta distribution (a = 4.91, b = 1.85) with a mean and 90th percentile interval of 73% (43%, 95%) was estimated to adequately describe the iAs bioaccessibility in rice. The regression analysis shows that grain size (p-value < 0.001) and the inorganic-to-total proportion of arsenic (p-value < 0.001) are negatively associated with bioaccessibility, while milling status has no impact. [ABSTRACT FROM AUTHOR]

Background: Severe community‐acquired pneumonia (SCAP) is one of the world's most common diseases and a major etiology of acute respiratory distress syndrome (ARDS). Cuproptosis is a novel form of regulated cell death that can occur in various diseases. Methods: Our study explored the degree of immune cell infiltration during the onset of severe CAP and identified potential biomarkers related to cuproptosis. Gene expression matrix was obtained from GEO database indexed GSE196399. Three machine learning algorithms were applied: The least absolute shrinkage and selection operator (LASSO), the random forest, and the support vector machine‐recursive feature elimination (SVM‐RFE). Immune cell infiltration was quantified by single‐sample gene set enrichment analysis (ssGSEA) scoring. Nomogram was constructed to verify the applicability of using cuproptosis‐related genes to predict the onset of severe CAP and its deterioration toward ARDS. Results: Nine cuproptosis‐related genes were differentially expressed between the severe CAP group and the control group: ATP7B, DBT, DLAT, DLD, FDX1, GCSH, LIAS, LIPT1, and SLC31A1. All 13 cuproptosis‐related genes were involved in immune cell infiltration. A three‐gene diagnostic model was constructed to predict the onset of severe CAP: GCSH, DLD, and LIPT1. Conclusion: Our study confirmed the involvement of the newly discovered cuproptosis‐related genes in the progression of SCAP. [ABSTRACT FROM AUTHOR]

Row-column designs have been widely used in experiments involving double confounding. Among them, one that provides unconfounded estimation of all main effects and as many two-factor interactions as possible is preferred, and is called optimal. Most current work focuses on the construction of two-level row-column designs, while the corresponding optimality theory has been largely ignored. Moreover, most constructed designs contain at least one replicate of a full factorial design, which is not flexible as the number of factors increases. In this study, a theoretical framework is built up to evaluate the optimality of row-column designs with prime level. A method for constructing optimal row-column designs with prime level is proposed. Subsequently, optimal full factorial three-level row-column designs are constructed for any parameter combination. Optimal fractional factorial two-level and three-level row-column designs are also constructed for cost saving. [ABSTRACT FROM AUTHOR]

Autism spectrum disorder (ASD) is a pervasive developmental disorder that has grown in prevalence over the past few decades and has a tremendous impact on families that struggle with adjustment to this disorder. Initial exposure to such a disorder may be a significant source of stress and tribulation for Chinese families who are not familiar with mental health discourse and how to navigate community healthcare systems. More extensive research with this population is vital to understand how cultural values and perceptions of parenting self‐efficacy contribute to parenting stress and coping in Asian families. This qualitative study sought to gain understanding of the ways that Asian families coped with stress when they had a child diagnosed with ASD. Seven Chinese families living in New York, with children between the ages of two and five, who were diagnosed with ASD, participated in semi‐structured interviews. Thematic analyses generated primary themes that explored factors contributing to Chinese parental stress: Chinese parents' perceived parenting self‐efficacy, parents' adherence to traditional Asian values, parental patterns of coping, and overall satisfaction with the early intervention services which their children were receiving. Results can guide specialized assessment and intervention for professionals who work with Chinese families within clinical, school, and community settings. Implications for practices of psychology in schools, limitations of this current study, and future directions are also discussed. Practitioner points: Chinese families of children with Autism expressed deficits in knowledge and feelings of inadequacy at the time of initial diagnosis.Families generally possessed "others as experts" worldviews toward service providers and expressed less feelings of perceived self‐efficacy.Story‐telling method reveals unique, and sometimes conflicting patterns of coping for Chinese families of children with Autism. [ABSTRACT FROM AUTHOR]

Invasive infections caused by methicillin‐resistant Staphylococcus aureus (MRSA) are associated with high mortality and morbidity. The sooner the pathogen is determined, the better it is beneficial to patient. However, routine laboratory inspections are time‐consuming and laborious. A thorough research was conducted in PubMed and Web of Science (until June 2021) to identify studies evaluating the accuracy of MRSA identification by matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). STATA 15.0 software was used to analyze the pooled results of sensitivity, specificity, and 95% confidence intervals (CI). The summary receiver operating characteristic curves (SROC) and area under the curve (AUC) were utilized to show the overall performance of MALDI‐TOF MS. Fifteen studies involving 2471 isolates were included in this study after the final selection in this meta‐analysis. Using the random effects model forest plot to summarize the overall statistics, the sensitivity of MALDI‐TOF MS for identifying MRSA was 92% (95% CI: 81%–97%), and the specificity was 97% (95% CI: 89%–99%). In the SROC curve, the AUC reached 0.99 (95% CI: 97%–99%). Deeks' test showed no significant publication bias in this meta‐analysis. Compared with clinical reference methods, MALDI‐TOF MS identification of MRSA shows a higher degree of sensitivity and specificity. [ABSTRACT FROM AUTHOR]

With the help of the Meir–Keeler contraction method and the Mann‐type method, two adaptive inertial iterative schemes are introduced for finding solutions of the split variational inclusion problem in Hilbert spaces. The strong convergence of the suggested algorithms is guaranteed by a new stepsize criterion that does not require calculation of the bounded linear operator norm. Some numerical experiments and applications in signal recovery problems are given to demonstrate the efficiency of the proposed algorithms. [ABSTRACT FROM AUTHOR]

Belowground life relies on plant litter, while its linkage to living roots had long been understudied, and remains unknown in the tropics. Here, we analysed the response of 30 soil animal groups to root trenching and litter removal in rainforest and plantations in Sumatra, and found that roots are similarly important to soil fauna as litter. Trenching effects were stronger in soil than in litter, with an overall decrease in animal abundance in rainforest by 42% and in plantations by 30%. Litter removal little affected animals in soil, but decreased the total abundance by 60% in rainforest and rubber plantations but not in oil palm plantations. Litter and root effects on animal group abundances were explained by body size or vertical distribution. Our study quantifies principle carbon pathways in soil food webs under tropical land use, providing the basis for mechanistic modelling and ecosystem‐friendly management of tropical soils. [ABSTRACT FROM AUTHOR]

Introduction: Intravesical prostatic protrusion (IPP) has been reported to be associated with bladder outlet obstruction and is the main cause of lower urinary tract symptoms (LUTS) during the development of benign prostatic hyperplasia (BPH). However, the molecular mechanism of IPP remains unclear. Methods: Clinical data analysis was performed to analyze the association between IPP and long-term complications in patients with BPH. RNA sequencing was performed on prostate tissues (IPP or not). Stromal cells were obtained from IPP-derived primary cultures to explore the molecular mechanism of IPP formation. Cell proliferation was evaluated by a CCK-8 assay. Multiple proteins in the signaling pathway were assessed using Western blot. Results: First, we confirmed that IPP is a prognostic factor for long-term complications in patients with BPH. Then, we observed that FGF7 was upregulated in both IPP tissues and IPP primary stromal cells through immunohistochemistry, Western blot, and quantitative real-time PCR. Furthermore, FGF7 was significantly upregulated in high IPP-grade prostate tissues. The coculture experiments showed that the downregulation of FGF7 in IPP-derived stromal cells inhibited the proliferation and migration of the prostate epithelial cells. Additionally, FGF7 was bound to FGFR2 to induce the epithelial-mesenchymal transition process through binding to FGFR2. RNA sequencing analysis also revealed the activation of the MAPK/ERK1/2 signaling pathway. The MAPK/ERK1/2 was downregulated by a specific inhibitor affecting the FGF7 stimulation in vitro. Conclusions: Our data reveal a novel amplification effect, i.e., stromal cell-derived FGF7 promotes epithelial cell proliferation and stromal cell phenotype, ultimately inducing IPP formation. Targeting FGF7 can significantly reduce epithelial to stromal transition and provide a potential therapeutic target for BPH progression. [ABSTRACT FROM AUTHOR]

We investigate the possibility of generating attosecond electron beams with sub-fC charges and a beam energy of a few MeV from a DC-gun and two super-conducting linac based high repetition-rate photoinjector, a promising candidate for next-generation high-flux ultrafast electron diffraction (UED). Using two super-conducting linac photoinjectors, a cascade velocity bunching scheme is adopted to compress the picosecond long e-beam generated by the DC-gun. Thorough dynamic simulations showed that an electron bunch with 2 × 10 3 electrons could be compressed to a few hundreds of attoseconds. In such an ultra-low charge domain, space charge induced slice energy spread is identified to be the main obstacle for further compression, and the final bunch length will become shorter with the reduction of the bunch charge in the power function. Combining merits of the ultra-short bunch duration and the high repetition-rate, such extraordinary electron beams should have great potential to further improve the temporal resolving power of UED facilities. [ABSTRACT FROM AUTHOR]

A small macrocycle comprising ether‐bridged naphthyl units was prepared in a two‐step synthesis. Single‐crystal X‐ray diffraction of two polymorphs are reported, one of which showed multiple C−H⋅⋅⋅πnaphthyl interactions of a solvent molecule in the cavity of the macrocycle. Chemical reduction led to C−O bond cleavages accompanied by a Z/E isomerization. The resulting twofold negatively charged (E)‐1,2‐bis(2‐naphthyl)ethylene fragment was isolated as its potassium salts. Electronic characterization revealed a singlet ground state, and a marked distortion of the central ethylene unit was observed upon electron uptake. [ABSTRACT FROM AUTHOR]

Gel polymer electrolytes (GPEs) incorporate both the high ionic conductivity of organic liquid electrolyte and the high safety performance of all‐solid‐state electrolytes (ASSEs), greatly improving the electrochemical performance of solid polymer electrolytes (SPEs). However, the practical application of GPEs is still limited by inferior interface compatibility, lithium dendrites, etc. Herein, we prepared GPEs based on poly(vinylidene fluoride‐co‐hexafluoropropylene) (PVDF‐HFP) further co‐blended the two‐dimensional sheet inorganic filler hectorite and poly(methyl methacrylate) (PMMA) to improve the mechanical and electrochemical properties of the GPEs. When the content of PMMA and hectorite is optimal, this GPEs have an ionic conductivity of 1.06×10−3 S cm−1 and outstanding lithium symmetric cells cycle time of more than 3000 h, indicating that the introduction of filler effectively inhibits the growth of lithium dendrites at room temperature. Moreover, the GPEs adopt a relatively simple solution casting method to provide a fresh idea for the synthesis of high‐performance GPEs. [ABSTRACT FROM AUTHOR]

The wide application and rapid development of satellite remote sensing technology have put higher requirements on remote sensing image segmentation methods. Because of its characteristics of large image size, large data volume, and complex segmentation background, not only are the traditional image segmentation methods difficult to apply effectively, but the image segmentation methods based on deep learning are faced with the problem of extremely unbalanced data between categories. In order to solve this problem, first of all, according to the existing effective sample theory, the effective sample calculation method in the context of semantic segmentation is firstly proposed in the highly unbalanced dataset. Then, a dynamic weighting method based on the effective sample concept is proposed, which can be applied to the semantic segmentation of remote sensing images. Finally, the applicability of this method to different loss functions and different network structures is verified on the self-built Landsat8-OLI remote sensing image-based tri-classified forest fire burning area dataset and the LoveDA dataset, which is for land-cover semantic segmentation. It has been concluded that this weighting algorithm can enhance the minimal-class segmentation accuracy while ensuring that the overall segmentation performance in multi-class segmentation tasks is verified in two different semantic segmentation tasks, including the land use and land cover (LULC) and the forest fire burning area segmentation In addition, this proposed method significantly improves the recall of forest fire burning area segmentation by as much as about 30%, which is of great reference value for forest fire research based on remote sensing images. [ABSTRACT FROM AUTHOR]

Objective: We reviewed our experience with congenital hepatic hemangiomas (CHH) to assess the effectiveness of our treatment strategies. Methods: Clinical and pathologic features of children with CHH were reviewed. Results: Twenty-two cases of CHH were collected, 17 were resected and 5 were followed until resolution. In 17 with alpha-feto-protein (AFP) levels, 9 were elevated with 5 decreasing to normal before surgery. In six with tumors under 3 cm, five regressed between 1 and 13 months, one required removal 5 years after initial diagnosis. Postoperative histopathology of 17 cases showed abnormal vascular hyperplasia without lobular architecture. CD34 was expressed in all tumors, glucose transporter 1(Glut1) was negative. Conclusion: If the tumor is less than 3 cm, AFP is normal and there are no obvious complications, the lesion can be followed with regular assessment imaging. Surgical resection is an option in tumors less than 3 cm which have not regressed over time. [ABSTRACT FROM AUTHOR]

Granulomatous diseases caused by Nocardia seriously endanger the health of cultured fish. These bacteria are widely distributed, but prevention and treatment methods are very limited. Chronic granulomatous inflammation is an important pathological feature of Nocardia infection. However, the molecular mechanisms of granuloma formation and chronic inflammation are still unclear. Constructing a granuloma infection model of Nocardia is the key to exploring the pathogenesis of the disease. In this study, we established a granuloma model in the liver of largemouth bass (Micropterus salmoides) and assessed the infection process of Nocardia seriolae at different concentrations by analysing relevant pathological features. By measuring the expression of pro‐inflammatory cytokines, transcription factors and a pyroptosis‐related protein, we revealed the close relationship between pyroptosis and chronic inflammation of granulomas. We further analysed the immunofluorescence results and the expression of pyroptosis‐related protein of macrophage infected by N. seriolae and found that N. seriolae infection induced macrophage pyroptosis in vitro. These results were proved by flow cytometry analysis of infection experiment in vivo. Our results indicated that the pyroptosis effect may be the key to inducing chronic inflammation in the fish liver and further mediating granuloma formation. In this study, we explored the molecular mechanism underlying chronic inflammation of granulomas and developed research ideas for understanding the occurrence and development of granulomatous diseases in fish. [ABSTRACT FROM AUTHOR]

Spinal cord injury (SCI) can result in irreversible sensory and motor disability with no effective treatment currently. After SCI, infiltrated macrophages accumulate in epicenter through destructed blood-spinal cord barrier (BSCB). Further, great majority of macrophages are preferentially polarized to M1 phenotype, with only a few transient M2 phenotype. The purpose of this study was to explore roles of vascular endothelial cells in microglia/macrophages polarization and the underlying mechanism. Lipopolysaccharide (LPS) was used to pretreat BV2 microglia and RAW264.7 macrophages followed by administration of conditioned medium from microvascular endothelial cell line bEnd.3 cells (ECM). Analyses were then performed to determine the effects of exosomes on microglia/macrophages polarization and mitochondrial function. The findings demonstrated that administration of ECM shifted microglia/macrophages towards M2 polarization, ameliorated mitochondrial impairment, and reduced reactive oxygen species (ROS) production in vitro. Notably, administration of GW4869, an exosomal secretion inhibitor, significantly reversed these observed benefits. Further results revealed that exosomes derived from bEnd.3 cells (Exos) promote motor rehabilitation and M2 polarization of microglia/macrophages in vivo. Ubiquitin-specific protease 13 (USP13) was shown to be significantly enriched in BV2 microglia treated with Exos. USP13 binds to, deubiquitinates and stabilizes the NF-κB inhibitor alpha (IκBα), thus regulating microglia/macrophages polarization. Administration of the selective IκBα inhibitor betulinic acid (BA) inhibited the beneficial effect of Exos in vivo. These findings uncovered the potential mechanism underlying the communications between vascular endothelial cells and microglia/macrophages after SCI. In addition, this study indicates exosomes might be a promising therapeutic strategy for SCI treatment. [ABSTRACT FROM AUTHOR]

In this paper, eleven high-strength steel tube confined self-stressing concrete (HSTCSC) short columns were tested to study their strengthening mechanism and axial compression performance. The effects of different material strengths, crosssection types, and hollow ratios on the axial mechanical properties of the HSTCSC short columns were investigated using the finite element analysis method. Experimental results highlighted that the HSTCSC short columns presented the waist drum-type failure mode significantly, with a higher axial load-bearing capacity and deformation performance, and possess a large safety reserve. It was also found that the axial compression property of the HSTCSC short column could be improved significantly due to the joint action of the micro-expansion of the self-stressing concrete and the hoop constraint of the high-strength steel tube. Moreover, the circular cross-section HSTCSC short columns were found to result in better mechanical performance after yielding of the high-strength steel tubes, especially entering the strengthening section. Under the condition of equal steel content ratio and cross-section area, the single-layer circular HSTCSC short columns were found to have the largest load-bearing capacities after yielding the high-strength steel tubes, followed by the double-layer circular HSTCSC short columns, and then the double-layer square HSTCSC short columns. The hollow rate of the cross-section could also decrease the load-bearing capacity of the HSTCSC short column with both circular and square sections, although increasing the hollow rate could save material and reduce the weight of the structure. The finite element analysis results showed that the proposed finite element model could be employed to simulate the compressive behavior of HSTCSC short columns with high calculation accuracy. [ABSTRACT FROM AUTHOR]

The magnetic nanomaterial Mn3Si2Te6 is a promising option for spin-dependent electronic and magneto-optoelectronic devices. However, its application in nonlinear optics remains fanciful. Here, we demonstrate a pulsed Er-doped fiber laser (EDFL) based on a novel quasi-2D Mn3Si2Te6 saturable absorber (SA) with low pump power at 1.5 μm. The high-quality Mn3Si2Te6 crystals were synthesized by the self-flux method, and the ultrathin Mn3Si2Te6 nanoflakes were prepared by a simple mechanical exfoliation procedure. To the best of our knowledge, this is the first time laser pulses have been generated using quasi-2D Mn3Si2Te6. A stable pulsed laser at 1562 nm with a low threshold pump power of 60 mW was produced by integrating the Mn3Si2Te6 SA into an EDFL cavity. The maximum power of the output pulse is 783 μW. The repetition rate can vary from 24.16 to 44.44 kHz, with corresponding pulse durations of 5.64 to 3.41 µs. Our results indicate that the quasi-2D Mn3Si2Te6 is a promising material for application in ultrafast photonics. [ABSTRACT FROM AUTHOR]

Plants adjust their secondary metabolism by altering the expression of corresponding genes to cope with both abiotic and biotic stresses. In the case of UV-B radiation, plants produce protective flavonoids; however, this reaction is impeded during pattern-triggered immunity (PTI) induced by pathogens. Pathogen attack can be mimicked by the application of microbial associated molecular patterns (e.g., flg22) to study crosstalk between PTI and UV-B-induced signaling pathways. Switching from Arabidopsis cell cultures to in planta studies, we analyzed whole transcriptome changes to gain a deeper insight into crosstalk regulation. We performed a comparative transcriptomic analysis by RNAseq with four distinct mRNA libraries and identified 10778, 13620, and 11294 genes, which were differentially expressed after flg22, UV-B, and stress co-treatment, respectively. Focusing on genes being either co-regulated with the UV-B inducible marker gene chalcone synthase CHS or the flg22 inducible marker gene FRK1 identified a large set of transcription factors from diverse families, such as MYB, WRKY, or NAC. These data provide a global view of transcriptomic reprogramming during this crosstalk and constitute a valuable dataset for further deciphering the underlying regulatory mechanism(s), which appear to be much more complex than previously anticipated. The possible involvement of MBW complexes in this context is discussed. [ABSTRACT FROM AUTHOR]

Simple Summary: Hypopharyngeal squamous cell carcinoma (HSCC) is a type of cancer with poor prognosis in head and neck tumors. More studies have shown that abnormal expression of lncRNA plays a crucial role in HSCC. Through RIP experiments, we confirmed that NR120519 interacts with KRT17, and the expression of both is closely related to the overall survival of HSCC. Subsequent experiments showed that both NR120519 and KRT17 could regulate the AKT/mTOR pathway and lead to EMT transformation, promoting the progression of HSCC. Therefore, NR120519/KRT17/AKT/mTOR axis has been identified as a new pathway, providing a feasible preliminary basis for future studies. Background: Hypopharyngeal carcinoma is the worst type of head and neck squamous cell carcinoma. It is necessary to identify the key molecular targets related to the carcinogenesis and development of hypopharyngeal carcinoma. Methods: Differentially expressed lncRNAs in hypopharyngeal carcinoma were selected by microarray, and lncRNA-associated proteins were found by RIP assay. Colony formation, CCK-8, wound healing and Transwell assays were performed to detect the effects of lncRNA and its associated protein on cell proliferation and migration in vitro. Downstream pathways of lncRNA and its associated protein were detected by WB. Through a subcutaneous tumor model, the effects of lncRNA and its associated protein on cell proliferation were detected. The expressions of lncRNA and its associated protein in hypopharyngeal cancer tissues were detected by qRT-PCR and immunohistochemistry assays, respectively, and survival analyses were performed by Kaplan-Meier curve. Results: A total of 542 and 265 lncRNAs were upregulated and downregulated in microarrays, respectively. LncRNA NR120519 was upregulated and promoted cell proliferation and migration of hypopharyngeal carcinoma in vitro and cell proliferation in vivo. RIP and WB assays showed that KRT17 was associated with and blocked by NR120519.The silencing of KRT17 promoted cell proliferation and the migration of hypopharyngeal carcinoma in vitro and cell proliferation in vivo by activating the AKT/mTOR pathway and epithelial-mesenchymal transformation (EMT). Finally, the NR120519 high expression and KRT17 low expression groups showed shorter overall survival. Conclusion: NR120519 activated the AKT/mTOR pathway and EMT by blocking KRT17 to promote cell proliferation and the migration of hypopharyngeal carcinoma. [ABSTRACT FROM AUTHOR]

The normalized difference vegetation index (NDVI) is the most widely used vegetation index for monitoring vegetation vigor and cover. As NDVI time series are usually derived at coarse or medium spatial resolutions, pixel size often represents a mixture of vegetated and non-vegetated surfaces. In heterogeneous urban areas, mixed pixels impede the accurate estimation of gross primary productivity (GPP). To address the mixed pixel effect on NDVI time series and GPP estimation, we proposed a framework to extract subpixel vegetation NDVI (NDVIvege) from Landsat OLI images in urban areas, using endmember fractions, mixed NDVI (NDVImix), and NDVI of non-vegetation endmembers. Results demonstrated that the NDVIvege extracted by this framework agreed well with the true NDVIvege cross seasons and vegetation fractions, with R2 ranging from 0.74 to 0.82 and RMSE ranging from 0.03 to 0.04. The NDVIvege time series was applied to evaluate vegetation GPP in Wuhan, China. The total annual GPP estimated with NDVIvege was 28-35% higher than the total annual GPP estimated with NDVImix, implying uncertainty in the GPP estimations caused by mixed pixels. This study showed the potential of the proposed framework to resolve NDVIvege for characterizing vegetation dynamics in heterogeneous areas. [ABSTRACT FROM AUTHOR]

In conclusion, the transmission of S. pyogenes-induced vulvovaginitis in prepubertal girls decreased during the COVID-19 pandemic, and the incidence of S. pyogenes-induced vulvovaginitis in prepubertal girls may gradually increase after the COVID-19 pandemic in Hangzhou. The composition ratio of I S. pyogene i s-induced vulvovaginitis to vulvovaginitis caused by bacterial infection in period 2 was 22.8% (49/215), which is significantly lower than that in period 1(35.9%, 370/1032, I p i <.001). To the Editor, Recently in this journal, the impact of the COVID-19 pandemic on the incidence of respiratory tract infections was reported in a study from Finland [[1]]. [Extracted from the article]

The distribution of surface integrity features directly affects the initiation and propagation of fatigue cracks. In this paper, the surface integrity characteristics changing law of turning and ultrasonic impacting specimens during high cycle fatigue loading has been studied, and the effect of surface modified layer on the fatigue properties of titanium alloy has been revealed. The results showed that the surface roughness increased with the increase of fatigue cycles. The compressive residual stress and its gradient distribution depth decreased continuously. The gradient distribution depth of residual stress in the ultrasonic-impacted surface rapidly decreased by about 50% near the fracture stage. Local cyclic hardening occurred at 20–50 μm from the surface of the specimen in the early stage of fatigue evolution, and then the microhardness continued to decrease. During this process, there were no significant changes in hardened layer depth. The fibrous microstructure of the ultrasonic-impacted surface undergoes a process from coarsening to gradual disintegration during the fatigue process. Its attenuation process needs a longer period of time. The fatigue source of the turned specimen was located at about 320 μm from the surface, and the fatigue source of ultrasonic impact was about 610 μm from the surface. The fatigue striation width of the ultrasonic impact specimen was about 20% narrower than that of the turned specimen. The fatigue life of the ultrasonic impact specimen was increased by 73.9% compared with the turned specimen. The research in this paper is of great significance for exploring the anti-fatigue mechanism and the ability of various surface integrity features. [ABSTRACT FROM AUTHOR]

Oleanolic acid (OA) and its derivatives show potent anticancer function. Pancreatic cancer (PC) is the fourth core motive of cancer‐related deaths worldwide. Epidermal growth factor receptor (EGFR) has been implicated in PC and has been validated as a therapeutic target. Our study demonstrated that K73‐03, an OA derivative, was identified as a potent inhibitor of EGFR by using reverse pharmacophore screening and molecular dynamics simulation assays. Moreover, Western blot analysis showed that K73‐03 markedly suppressed the levels of phosphorylated‐EGFR (p‐EGFR) and phosphorylated‐Akt (p‐Akt). The inhibitory effect of K73‐03 on PC cells was assessed in vitro and in vivo. Mechanistically, K73‐03 effectively inhibited the cell proliferation of PC cells, and induced apoptosis and autophagy of ASPC‐1 cells in a dose‐dependent manner. Additionally, pretreatment with chloroquine, an autophagy inhibitor, significantly inhibited K73‐03‐induced autophagy and enhanced K73‐03‐induced apoptotic cell death. K73‐03 also strongly repressed ASPC‐1 cells xenograft growth in vivo. Thus, all these findings provided new clues about OA analog K73‐03 as an effective anticancer agent targeted EGFR against ASPC‐1 cells, it is worth further evaluation in the future. [ABSTRACT FROM AUTHOR]

Multi-scale target detection in synthetic aperture radar (SAR) images is one of the key techniques of SAR image interpretation, which is widely used in national defense and security. However, multi-scale targets include several types. For example, targets with similar-scale, large-scale, and ultra-large-scale differences coexist in SAR images. In particular, it is difficult for existing target detection methods to detect both ultra-large-scale targets and ultra-small-scale targets in SAR images, resulting in poor detection results for these two types of targets. To solve these problems, this paper proposes an ultra-high precision deep learning network (UltraHi-PrNet) to detect dense multi-scale targets. Firstly, a novel scale transfer layer is constructed to transfer the features of targets of different scales from bottom networks to top networks, ensuring that the features of ultra-small-scale, small-scale, and medium-scale targets in SAR images can be extracted more easily. Then, a novel scale expansion layer is constructed to increase the range of the receptive field of feature extraction without increasing the feature resolution, ensuring that the features of large-scale and ultra-large-scale targets in SAR images can be extracted more easily. Next, the scale expansion layers with different expansion rates are densely connected to different stages of the backbone network, and the features of the target with ultra-large-scale differences are extracted. Finally, the classification and regression of targets were achieved based on Faster R-CNN. Based on the SAR ship detection dataset (SSDD), AIR-SARShip-1.0, high-resolution SAR ship detection dataset-2.0 (high-resolution SSDD-2.0), the SAR-ship-dataset, and the Gaofen-3 airport dataset, the experimental results showed that this method can detect similar-scale, large-scale, and ultra-large-scale targets more easily. At the same time, compared with other advanced SAR target detection methods, the proposed method can achieve higher accuracy. [ABSTRACT FROM AUTHOR]

In this paper, we discuss the split monotone variational inclusion problem and propose two new inertial algorithms in infinite‐dimensional Hilbert spaces. The iterative sequence by the proposed algorithms converges strongly to the solution of a certain variational inequality with the help of the hybrid steepest descent method. Furthermore, an adaptive step size criterion is considered in suggested algorithms to avoid the difficulty of calculating the operator norm. Meanwhile, our results are also applied to several other types of split problems. Finally, some numerical experiments show that our algorithms are realistic and summarize the known results. [ABSTRACT FROM AUTHOR]

Constructing a hydrophobic barrier structure is an effective means in reducing rainwater infiltration and maintaining the stability of earthen structures. The hydraulic properties of hydrophobized soil have been widely explored. However, effects of hydrophobic coating formation on the soil particle surface on the soil mechanical properties for the design and analysis of the barrier structure remain unclear. Thus, this study measures the mechanical properties (compressibility, shearing, and dilatancy) of a silica sand hydrophobized by dimethyldichlorosilane (DMDCS) to varying hydrophobic conditions, including the DMDCS content and the percentage of treatment (i.e., the mass proportion of hydrophobic mass among total mass). Test results reveal that (1) compressibility is unaffected when DMDCS content is less than 10%, and it is a function of degree of saturation (S) when the percentage of treatment is less than 100%; (2) the shearing mechanism switches from strain softening to strain hardening beyond a threshold DMDCS content because of the switching of shearing contacts between particles to between coatings; (3) the shear stress mobilized in 50%-treated sand lies in between that of the untreated and 100%-treated sand because of the presence of particle–coating contacts; (4) the peak friction angle declines with the increase in DMDCS content and is S-dependent for 50%-treated sand; and (5) soil dilatancy decreases significantly beyond a threshold DMDCS content of 0.05% or a threshold percentage of treatment of 50%. [ABSTRACT FROM AUTHOR]

In order to improve the security of the storage and scheduling of health privacy data inside and outside the university physical education class, a storage and scheduling method based on blockchain hybrid encryption is proposed. The distribution structure model of health privacy data blockchain inside and outside the university physical education class is established, arithmetic coding and quantitative feature analysis methods to schedule and adaptively control health privacy data blockchain inside and outside the university physical education class are adopted, public key coding configuration and vector quantization coding methods are combined to design encryption keys in the process of health privacy data transmission inside and outside the university physical education class, and blockchain hybrid encryption algorithm is adopted to design encryption keys for health privacy data inside and outside the university physical education class. The arithmetic coding is embedded in the encryption system, and the bit sequence output by the blockchain hybrid encryption is circularly shifted, so as to realize the encryption of health privacy data inside and outside the university physical education class and optimize the storage scheduling. The simulation results show that this method has good security encryption performance, strong antiattack ability, and balanced storage space allocation, which improves the security storage and transmission ability of health privacy data inside and outside the university physical education class. [ABSTRACT FROM AUTHOR]

Unusual intermolecular π-stacking in a new charge transfer salt of pyrene (Py), (Py)2+(Ga2Cl7)−, has been observed. The structure obtained by single crystal X-ray crystallography indicates π-stacks of pyrene which were analyzed using a combination of density functional theory and the analysis of the bond length alternation patterns in the pyrene molecules in different charge states. There are relatively few crystal structures of charge transfer salts of pyrene in the literature, and this structure shows a unique charge separation in which half of the pyrenes are nearly neutral while the other half carry approximately +1 charge in an alternating fashion along the 1D stacks balancing one electron charge transfer to each (Ga2Cl7)− anion. The charge localization is attributed to the incomplete inter-pyrene overlap of the singly occupied molecular orbitals. [ABSTRACT FROM AUTHOR]

At present, few-shot object detection research in the field of optical remote sensing images has been conducted, but few-shot object detection in the field of synthetic aperture radar (SAR) images has rarely been explored. To this end, this article proposes a lightweight metalearning-based SAR image few-shot object detection method, which improves the accuracy and speed of SAR image few-shot object detection from a more balanced perspective. First, we introduce the latest FSODM method in optical remote sensing as a benchmark framework. Second, a lightweight metafeature extractor named DarknetS is designed to enhance the feature representation of SAR images and improve detection timeliness. Furthermore, we build a new aggregation module called AggregationS, which encodes support features and query features into the same feature subspace via a novel transformer encoder. This module design can better extract the correlation and saliency between different classes in the support set, improve the detection accuracy of the query set, and enhance the detection generalization performance of new classes. Finally, we built several real-world SAR image few-shot object detection datasets to verify the effectiveness of the method. Experimental results show that FSODS can achieve a better object detection performance compared to the baseline model under the condition that only a small amount of labeled data is required for new classes of SAR image objects. [ABSTRACT FROM AUTHOR]

Traumatic spinal cord injury (TSCI) is a devastating traumatic disease of the central nervous system, which leads to refractory loss of motor and sensory function. So far, there is no effective treatment for TSCI. Recently, however, nano-sized exosomes from various spinal cord cells have shown great prospects in the treatment of various diseases, including TSCI. Microglia are one of the components of the spinal cord microenvironment. Anti-inflammatory microglia (M2) have been shown to inhibit inflammation and promote the functional recovery of spinal cord after TSCI. However, the role micro RNAs (miRNAs) in exosomes derived from M2 microglia in the treatment of TSCI is unclear. In this study, we investigated whether M2 microglial exosomes (M2-Exos) could better promote the functional behavior recovery of mice with TSCI than M0 microglial exosomes (Exos). Compared with Exos, M2-Exos were found to have a better effect in promoting the recovery of functional behavior, promoting axon regeneration and reducing the level of pyroptosis of spinal cord neurons after TSCI. Through a series of experiments, we also confirmed that miR-672-5p is the most critical miRNA associated with M2-Exos, and that its targeting gene is AIM2. M2-Exos rich in miR-672-5p could inhibit the AIM2/ASC/caspase-1 signaling pathway by inhibiting AIM2 activity, so as to inhibit neuronal pyroptosis and finally promote the recovery of functional behavior in mice with TSCI. In conclusion, our study suggests that the application of M2-Exos may be a promising treatment strategy for TSCI. [ABSTRACT FROM AUTHOR]