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Abstract Background The WD40 domain, one of the most abundant in eukaryotic genomes, is widely involved in plant growth and development, secondary metabolic biosynthesis, and mediating responses to biotic and abiotic stresses. WD40 repeat (WD40) protein has been systematically studied in several model plants but has not been reported in the Capsicum annuum (pepper) genome. Results Herein, 269, 237, and 257 CaWD40 genes were identified in the Zunla, CM334, and Zhangshugang genomes, respectively. CaWD40 sequences from the Zunla genome were selected for subsequent analysis, including chromosomal localization, phylogenetic relationships, sequence characteristics, motif compositions, and expression profiling. CaWD40 proteins were unevenly distributed on 12 chromosomes, encompassing 19 tandem duplicate gene pairs. The 269 CaWD40s were divided into six main branches (A to F) with 17 different types of domain distribution. The CaWD40 gene family exhibited diverse expression patterns, and several genes were specifically expressed in flowers and seeds. Yeast two-hybrid (Y2H) and dual-luciferase assay indicated that CaWD40-91 could interact with CaAN1 and CaDYT1, suggesting its involvement in anthocyanin biosynthesis and male sterility in pepper. Conclusions In summary, we systematically characterized the phylogeny, classification, structure, and expression of the CaWD40 gene family in pepper. Our findings provide a valuable foundation for further functional investigations on WD40 genes in pepper.

The Cr coating deposited by PVD method is difficult to apply on a large scale due to its poor corrosion resistance.The use of composite multilayer coating structure design can interrupt the growth of penetrating columnar crystals, reduce porosity and improve the corrosion resistance of PVD deposited Cr coatings.In this work,Cr/CrCN multilayer coatings were deposited on the surface of 316L stainless steel substrate by high-power pulsed magnetron sputtering (HiPIMS) coupled with synchronous pulse bias technology.The morphology, composition and microstructure of the coating were characterized using SEM,XRD,EDS and Raman.The corrosion resistance of Cr/CrCN multilayer coatings prepared under four different methane flow rates (5, 15, 25, 35 sccm) was studied by electrochemical and acid salt spray tests.Results showed that the introduction of CrCN intermediate layer effectively interrupted the penetrating growth of columnar crystals, and the coating exhibited a dense and flat surface morphology.All four Cr/CrCN multilayer coatings had a good protective effect on the substrate, and the corrosion current density of the coating modified samples decreased compared to the substrate.After 48 h of acidic salt spray corrosion, the surface of the multi-layer coating prepared with a methane flow rate of 25 sccm did not show obvious pitting corrosion,demonstrating the best corrosion resistance performance.In general, the Cr/CrCN multilayer coatings prepared by HiPIMS could effectively improve the corrosion resistance of 316L stainless steel, which provided reference for the optimization design and industrial application of corrosion resistance of PVD Cr plated coatings.

The APETALA2/ethylene-responsive factor (AP2/ERF) transcription factor family is one of the largest transcription factor families in plants. Its subfamily members activate or repress the expression of related genes by specifically binding to cis-acting elements such as the GCC box and DRE/CRT in the promoter regions of downstream interacting genes, and participate in the regulation of biological processes such as growth and development, maturation and senescence, and stress response in fruits and vegetables. In recent years, an increasing number of studies have shown that AP2/ERF can also regulate the quality and resistance of fruits and vegetables by regulating target genes and inducing various phytohormone responses such as ethylene, jasmonic acid and salicylic acid, or by acting as a response factor in response to phytohormone signals. This article provides an overview of the structural characteristics of AP2/ERF transcription factors and their classification and distribution in fruits and vegetables and reviews the latest research progress in the regulatory effect of AP2/ERF on stress resistance in fruits and vegetables through interaction with the major hormone signals. It is our hope that this review will provide a theoretical basis for enhancing stress resistance in fruits and vegetables from the perspective of hormonal regulation of AP2/ERF transcription factors.

The luminescent spectra of boron–nitrogen (BN) superatoms under the influence of small molecule excitation remain unexplored, yet hold promising prospects for application in luminescent materials. This study employs density functional theory to investigate the absorption and fluorescence emission spectra of small molecules (pyrazine, pyridine, and benzene) adsorbed on B12N12 superatoms. The findings reveal the formation of stable chemisorption structures, namely pyrazine-B12N12 and pyridine-B12N12, while benzene forms a physisorption structure benzene-B12N12. Interestingly, the adsorbed benzene enhances the absorption spectrum intensity of B12N12, while pyrazine and pyridine adsorbed significantly amplify the emission spectrum intensity of B12N12. Moreover, this study discusses the impact of variation in the number of adsorbed small molecules on spectral characteristics. Results indicate that the absorption spectra intensity of 2pyrazine-B12N12, 2pyridine-B12N12, and 2benzene-B12N12 is relatively robust, with 2benzene-B12N12 exhibiting a stronger emission spectrum intensity compared to benzene-B12N12 and 4benzene-B12N12. These computational findings offer valuable insights for the exploration of luminescent materials and serve as theoretical reference for experimental investigations.

Protein fibrillation is a crucial process in the onset of several neurodegenerative and retinal disorders due to the formation of cytotoxic species. Because of their capacity to prevent protein aggregation, small molecules have the potential to be appointed as therapeutic agents. Here, we examined the inhibitory impacts of the piperonal as a carbaldehyde-derived compound on the fibrillation process of α-synuclein and underlying cytotoxicity against neuron-like (PC12) and human retinal pigment epithelial (RPE) (ARPE-19) cells. The results showed that the values of kapp and lag time of α-synuclein were modulated with piperonal. Moreover, ANS fluorescence intensity analysis indicated that piperonal can inhibit the formation of a molten global (misfolded) state of α-synuclein, which is a necessary step in the formation of protein amyloid fibrils. Congo red absorption and circular dichroism spectroscopy also verified the inhibition of β-sheet structure formation after treatment of α-synuclein with piperonal. Furthermore, theoretical studies displayed that piperonal interacts with VAL40:HN, GLU35:O, VAL40, and LYS43 amino acid residues and forms a complex. In addition, cytotoxicity assays demonstrated that piperonal as a safe small molecule could mitigate the induced cytotoxicity by α-synuclein amyloids in PC12 and ARPE-19 cells through reduction of ROS and Bax/Bcl2 mRNA overexpression. Taken together, these outcomes showed that piperonal as a natural aldehyde compound can inhibit α-synuclein fibrillation and underlying cytotoxicity which may be developed for potential therapeutic applications in vivo.

Abstract Background There is a dearth of research combining geographical big data on medical resource allocation and growth with various statistical data. Given the recent achievements of China in economic development and healthcare, this study takes China as an example to investigate the dynamic geographical distribution patterns of medical resources, utilizing data on healthcare resources from 290 cities in China, as well as economic and population-related data. The study aims to examine the correlation between economic growth and spatial distribution of medical resources, with the ultimate goal of providing evidence for promoting global health equity. Methods The data used in this study was sourced from the China City Statistical Yearbook from 2001 to 2020. Two indicators were employed to measure medical resources: the number of doctors per million population and the number of hospital and clinic beds per million population. We employed dynamic convergence model and fixed-effects model to examine the correlation between economic growth and the spatial distribution of medical resources. Ordinary least squares (OLS) were used to estimate the β values of the samples. Results The average GDP for all city samples across all years was 36,019.31 ± 32,029.36, with an average of 2016.31 ± 1104.16 doctors per million people, and an average of 5986.2 ± 6801.67 hospital beds per million people. In the eastern cities, the average GDP for all city samples was 47,672.71 ± 37,850.77, with an average of 2264.58 ± 1288.89 doctors per million people, and an average of 3998.92 ± 1896.49 hospital beds per million people. Cities with initially low medical resources experienced faster growth (all β |βi|, i = 1, 2, 3, …, 9, all β doc: |βi|, i = 3, 4, 5, …, 10, P

Remote sensing image semantic segmentation methods have become the main approach for extracting cropland information. However, in the mountainous regions of southwestern China, croplands exhibit narrow and fragmented shapes, as well as complex planting patterns, making it difficult for traditional semantic segmentation methods to accurately delineate fine-grained cropland boundaries. To address these challenges, a multiattention Transformer network named MATNet is proposed in this paper, for fine-grained extraction of cropland at the parcel level in complex scenes. MATNet built upon the fusion of CNN encoder and Transformer decoder. In the encoder, spatial and channel reconstruction units are introduced, reducing information redundancy in the convolutional layers. The Transformer decoder incorporates multiple attention mechanisms, this design feature enhances the attention window's perception of local content and improves the model's ability to extract features from fine-grained cropland parcels through optimized computationnal al location. Taking the experimental results of the Dali cropland dataset as an illustration, MATNet achieved the highest values across five evaluation metrics, including mIoU. Specifically, the Recall, F1, and mIoU scores were 94.68%, 94.69%, and 89.92%, respectively. Compared with six other advanced models, MATNet consistently performed best in terms of extracting fine-grained cropland parcels.

ABSTRACTDoxorubicin (DOX) is one of the most effective and widely used chemotherapeutic drugs. However, DOX resistance is a critical risk problem for breast cancer treatment. Previous studies have demonstrated that metadherin (MTDH) involves in DOX resistance in breast cancer, but the exact mechanism remains unclear. In this study, we found that glutaminyl-peptide cyclotransferase (QPCT) was a MTDH DOX resistance-related downstream gene in breast cancer. Elevated expression of QPCT was found in the GEPIA database, breast cancer tissue, and breast cancer cells. Clinical data showed that QPCT expression was positively associated with poor prognosis in DOX-treated patients. Overexpression of QPCT could promote the proliferation, invasion and migration, and reduce DOX sensitivity in MCF-7 and MDA-MB-231 cells. Mechanistically, MTDH positively regulates the expressions of NF-κB (p65) and QPCT, and NF-κB (p65) directly regulates the expression of QPCT. Therefore, MTDH/NF-κB (p65)/QPCT signal axis was proposed. Collectively, our findings delineate the mechanism by which the MTDH/NF-κB (p65) axis regulate QPCT signaling and suggest that this complex may play an essential role in breast cancer progression and affect DOX sensitivity.

This paper presents a novel hybrid algorithm based on CMOGWO-ADNSGA-II to solve the vibration stability problem during the operation of a EMS-type maglev train dynamics model subjected to strong non-linear magnetic buoyancy. The proposed algorithm optimizes the control system parameters of EMS-type maglev train suspensions by combining an improved multi-objective chaotic grey wolf algorithm (CMOGWO) with an improved non-dominated Sorting genetic algorithm-II (ADNSGA-II) to enhance the search capability of the algorithm and ensure population diversity. The efficacy of the algorithm is demonstrated by applying it to the EMS-type maglev train suspension frame control system to find the optimal control parameters. Experimental results show that the system with the optimal parameters applied significantly reduces the suspension gap amplitude and the corresponding standard deviation, as well as the vertical acceleration amplitude and the corresponding standard deviation during operation. The proposed algorithm provides a good solution for EMS-type maglev train suspension vibration control, which can improve its performance and safety.

At present, there are few studies considering both nonlinear and fractional characteristics of suspension in vehicle systems. In this paper, a fractional nonlinear model of a quarter vehicle with two-degree-of-freedom (2-DOF) is innovatively proposed to describe the suspension system containing the viscoelastic material metal rubber. Given the lack of a general calculation scheme for the multi-degree-of-freedom fractional-order incremental harmonic balance method (IHBM), a general calculation scheme for the 2-DOF incremental harmonic balance method for nonlinear systems with fractional order is derived. The nonlinear dynamical properties of the presented model are acquired using this method. The accuracy of the proposed method is verified through a comparison with the power series expansion method. Afterward, the effects of the various parameters on the dynamic performance are analyzed. The vibration peak value of the fractional-order model is significantly higher than that of the integer-order model (IOM). Therefore, the suspension parameters should be designed with a margin when using IOM.

Retinal vessel segmentation plays a vital role in the clinical diagnosis of ophthalmic diseases. Despite convolutional neural networks (CNNs) excelling in this task, challenges persist, such as restricted receptive fields and information loss from downsampling. To address these issues, we propose a new multi-fusion network with grouped attention (MAG-Net). First, we introduce a hybrid convolutional fusion module instead of the original encoding block to learn more feature information by expanding the receptive field. Additionally, the grouped attention enhancement module uses high-level features to guide low-level features and facilitates detailed information transmission through skip connections. Finally, the multi-scale feature fusion module aggregates features at different scales, effectively reducing information loss during decoder upsampling. To evaluate the performance of the MAG-Net, we conducted experiments on three widely used retinal datasets: DRIVE, CHASE and STARE. The results demonstrate remarkable segmentation accuracy, specificity and Dice coefficients. Specifically, the MAG-Net achieved segmentation accuracy values of 0.9708, 0.9773 and 0.9743, specificity values of 0.9836, 0.9875 and 0.9906 and Dice coefficients of 0.8576, 0.8069 and 0.8228, respectively. The experimental results demonstrate that our method outperforms existing segmentation methods exhibiting superior performance and segmentation outcomes.

Abstract Accurate segmentation of the skin lesion region is crucial for diagnosing and screening skin diseases. However, skin lesion segmentation is challenging due to the indistinguishable boundaries of the lesion region, irregular shapes and hair interference. To settle the above issues, we propose a Multi‐scale Depthwise Separable Convolutional Neural Network for skin lesion segmentation named MDSC‐Net. Specifically, a novel Multi‐scale Depthwise Separable Residual Convolution Module is employed in skip connection, conveying more detailed features to the decoder. To compensate for the loss of spatial location information in down‐sampling, we propose a novel Spatial Adaption Module. Furthermore, we propose a Multi‐scale Decoding Fusion Module in the decoder to capture contextual information. We have performed extensive experiments to verify the effectiveness and robustness of the proposed network on three public benchmark skin lesion segmentation datasets and one public benchmark polyp segmentation dataset, including ISIC‐2017, ISIC‐2018, PH2, and Kvasir‐SEG datasets. Experimental results consistently demonstrate the proposed MDSC‐Net achieves superior segmentation across five popularly used evaluation criteria. The proposed network reaches high‐performance skin lesion segmentation, and can provide important clues to help doctors diagnose and treat skin cancer early.

To establish a rapid real-time RT-PCR method for differentiating wild-type classical swine fever virus (CSFV) strains from vaccine strains (HCLV), we designed a universal primer targeting the NS3 gene to detect wild-type CSFV strains and vaccine strains simultaneously, and two TaqMan-MGB probes were designed to differentiate between wild-type and vaccine strains. After optimizing the RT-qPCR conditions, a rapid dual TaqMan-MGB RT-qPCR method for the detection and identification of CSFV and HCLV was developed. The results showed that method could specifically detect CSFV and HCLV with no cross-reactivity with other swine pathogens. The analytic sensitivity for the NS3 gene of CSFV and HCLV were 1.67 × 101 copies/μL, respectively. For precision testing, the repeatability and reproducibility of the test was less than 2%. This method was successfully used for the rapid detection of 193 biological samples collected from CSFV-vaccinated pigs. This fast and accurate detection technology can be used for the detection of CSFV and is suitable for differentiating between wild-type CSFV strains and vaccine strains.

As a raw material for aquatic feed, kelp has a large output and is rich in sugars, minerals, vitamins, free amino acids, fatty acids, etc. It is not only a natural bait for sea cucumbers in natural seas but also often used as a main ingredient in compound feed for sea cucumbers. However, kelp contains non-starch polysaccharides (NSP) which are difficult to be digested by endogenous enzymes secreted by aquatic animals.Enzymatically hydrolyzed kelp (EKP) powder is made by hydrolyzing kelp powder with a compound enzyme preparation (NSP enzyme∶cellulase∶neutral protease∶flavor enzyme = 8∶12∶3∶1), and the compound enzyme is added at 3% (by weight). The ratio of material to liquid is 1∶6, and the conditions of enzymatic hydrolysis comprise a temperature of 50 ℃, pH 6, and reaction time 6 h.A feeding trial was conducted to investigate the effects of EKP on the growth, digestion, metabolism, and oxidation resistance of juvenile sea cucumbers Apostichopus japonicus (Selenka, 1867). In this experiment, fish meal, kelp meal and EKP were used as the main protein sources to prepare a basic feed with a crude protein content of 12.00%, a crude fat content of 0.40%, and an energy content of 6.20 KJ/g. A total of 540 healthy sea cucumbers with an initial average weight of (11.4±0.04) g were selected and randomly assigned to 18 cylindrical circulating buckets. They were divided into 6 experimental groups with 3 replicates in each group and 30 sea cucumbers in each replicate. Six experimental diets were formulated with the graded levels of EKP, 0% (D1, control group), 3% (D2), 6% (D3), 9% (D4), 12% (D5), and 15% (D6) dry diets. The feeding period was 56 days. Bait was fed once a day at a fixed time (16:00). The water was changed every 3 days, and a siphon was used to withdraw the residual bait and feces from the bottom of the bucket. The amount of water changed was 1/2 of the water level in the bucket. The breeding experiment was run for 1 month. During the breeding period, the water temperature was 13~17 ℃, pH was 7.5~8.2, dissolved oxygen was at least 6 mg/L, and salinity was maintained at 28~30.The results showed that: (1) The weight gain rate and specific growth rate of sea cucumbers in the D3, D4, D5 and D6 groups were significantly increased as compared to that in the control group, with the D4 group reporting the highest values. (2) The contents of water, crude protein, crude lipid, and ash in the body wall of sea cucumbers were not different among groups, but addition of EKP significantly increased the contents of methionine and cysteine. (3) The activities of intestinal amylase and protease increased first and then decreased with the EKP addition level increasing, but the lipase activity was not significantly affected. (4) Dietary incorporation of EKP significantly increased the apparent digestibility of crude protein, gross energy, total phosphorus and six amino acids. (5) The activities of intestinal glucokinase, pyruvate kinase, and phosphoenolpyruvate carboxykinase as well as the total antioxidant capacity increased first and then decreased; the activities of Na+-K+-ATPase or Ca2+-Mg2+-ATPase showed an increasing trend with increasing EKP addition levels. The malondialdehyde content followed a trend opposite to the total antioxidant capacity. In conclusion, appropriate addition of EKP has positive effects on growth, digestion, metabolism, and oxidation resistance of A. japonicas, and it promote the growth of sea cucumbers. The predicted optimal supplemental level of EKP in the diet of A. japonicus was 10.36% (12% feed crude protein) according to the quadratic regression analysis on weight gain rate against the EKP addition levels. This research provides a theoretical basis for the use of EKP at compound feed for A. japonicus.

Background Bipolar disorder is identified as a cause of severe damage to the physical, psychological and social functioning of adolescents and young adults.Aims The aim of this study is to ascertain the trends in the burden of bipolar disorder among individuals aged 10–24 years at global, regional and national levels from 1990 to 2019.Methods The data analysed in this study were from the Global Burden of Diseases 2019. The numbers, rates per 100 000 population, average annual percentage changes (AAPCs) of incidence, prevalence and years lived with disability (YLDs) of bipolar disorder are reported at the global, regional and national levels among individuals aged 10–24 years. Global trends by age, sex and Social Development Index (SDI) were further analysed.Results Globally, the incidence of bipolar disorder among adolescents and young adults increased from 79.21 per 100 000 population (95% uncertainty interval (UI): 58.13 to 105.15) in 1990 to 84.97 per 100 000 population (95% UI: 61.73 to 113.46) in 2019, AAPC 0.24 (95% confidence interval (CI): 0.22 to 0.26). In the past three decades, there has been an increase in incidence, prevalence and YLDs in both males and females. The largest increase in incidence between 1990 and 2019 was observed in those aged 20–24 years old (from 51.76 per 100 000 population (95% UI: 26.81 to 87.20) in 1990 to 58.37 per 100 000 population (95% UI: 30.39 to 98.55) in 2019; AAPC 0.42 (95% CI: 0.38 to 0.47)). By the SDI quintile, the largest increase in incidence was observed in the middle SDI; however, the high SDI countries had the highest incidence. Regionally, the largest increase in incidence was observed in southern Latin America. At the national level, the most pronounced increase in the incidence was in Greenland.Conclusions The global increase in incidence among adolescents and young adults between 1990 and 2019 indicates that strategies to improve their mental health still need to be emphasised.

Cropland is the foundation of agriculture and the cornerstone of ensuring national food security. Ongoing advancement of China’s urbanization and social economy results in a tendency toward ‘non-agriculturalization’ of cropland in pursuit of economic benefits, which greatly threatens food security. Therefore, long-term monitoring of cropland is urgently needed. Based on the Google Earth Engine (GEE) platform, this paper uses the Landsat series and Sentinel-2 multisource images from 1990–2020 to dynamically monitor cropland in Yunnan Province. First, a multiresolution collaborative sample selection method was proposed and sample labels with resolutions better than 30 m from 1990 to 2015 were obtained. An ‘impervious surface-spectrum-texture-geometry’ (ISTG) feature system was constructed and the Jeffries-Matusita (JM) distance method was used for feature optimization. Finally, the proposed collaborative classification system method of land classification and binary classification was used to extract cropland in Yunnan Province. The results show that: (1) The accuracy of cropland extraction was highly reliable, with an overall accuracy (OA) wall-to-wall ranging from 93.15–98.14% and a kappa coefficient (Kappa) ranging from 86.29–96.26%. (2) The change trend of the cropland area in Yunnan Province from 1990 to 2020 exhibited certain fluctuations, but overall decreased annually. (3) The province’s average annual cropland area is 567.71 × 103 hectares. The proposed method has great potential in large-scale cropland extraction.

Animal meat is one of the major, high-quality protein sources in human food. The rapid economic development is accompanied by increasing demand for meat, which puts pressure on the global meat supply but also gives room for the development of the meat substitute market. Edible mushrooms are high in protein, rich in nutrients, and do not require large amounts of land for cultivation, making them an ideal raw material for the production of meat analogues. This paper introduces the nutritional properties of edible mushrooms from 4 perspectives: nutrients, active ingredients, allergens and flavor-presenting substances, and summarizes their unique nutritional advantages by comparing them with animal meat and plant-based meat analogue, and finally analyzes the industrialization development situation of edible mushroom protein meat analogues in China and abroad. In conclusion, edible mushrooms are very suitable for making meat analogues and are expected to become another major raw material after beans, cereals and other plant-based meat raw materials. The edible mushroom industry will have a promising future.

Context modeling has always been the groundwork for the dialogue response generation task, yet it presents challenges due to the loose context relations among open-domain dialogue sentences. Introducing simulated dialogue futures has been proposed as a solution to mitigate the problem of low history–response relevance. However, these approaches simply assume that the history and future of a dialogue have the same effect on response generation. In reality, the coherence between dialogue sentences varies, and thus, history and the future are not uniformly helpful in response prediction. Consequently, determining and leveraging the relevance between history–response and response–future to aid in response prediction emerges as a pivotal concern. This paper addresses this concern by initially establishing three context relations of response and its context (history and future), reflecting the relevance between the response and preceding and following sentences. Subsequently, we annotate response contextual relation labels on a large-scale dataset, DailyDialog (DD). Leveraging these relation labels, we propose a response generation model that adaptively integrates contributions from preceding and succeeding sentences guided by explicit relation labels. This approach mitigates the impact in cases of lower relevance and amplifies contributions in cases of higher relevance, thus improving the capability of context modeling. Experimental results on public dataset DD demonstrate that our response generation model significantly enhances coherence by 3.02% in long sequences (4-gram) and augments bi-gram diversity by 17.67%, surpassing the performance of previous models.

In the present work, the effect of Zn on the aging precipitates and mechanical properties of Al-Cu-Li alloys was investigated by Vickers hardness, tensile tests, transmission electron microscopy (TEM) and differential scanning calorimetry (DSC). The results indicated that the addition of Zn reduced the activation energy of the T1 phase and makes it easier to precipitate. The activation energy of the T1 phase, which was 107.02 ± 1.8 KJ/mol, 94.33 ± 1.7 KJ/mol, 90.33 ± 1.7 KJ/mol and 90.28 ± 1.6 KJ/mol for 0Zn, 0.4Zn, 0.8Zn and 1.2Zn alloy, respectively. The area number density of the T1 precipitate ranged from 97.0 ± 4.4 pcs/μm2 to 118.2 ± 2.8 pcs/μm2 as the Zn content increased from 0 to 1.2 wt.%. Consequently, the addition of Zn promoted the precipitation of the T1 phase. Therefore, the peak hardness and tensile strength of the alloy also increased with the increase in the Zn content, and the hardness of the alloy with Zn content of 1.2 wt.% increased by 16.5 ± 1.4 HV; meanwhile, the ultimate tensile strength increased by 46.5 ± 2.5 MPa. Therefore, the area number density of precipitates increased and improved the strength of the Zn-containing alloy.

Dynamic monitoring of cropland using high spatial resolution remote sensing images is a powerful means to protect cropland resources. However, when a change detection method based on a convolutional neural network employs a large number of convolution and pooling operations to mine the deep features of cropland, the accumulation of irrelevant features and the loss of key features will lead to poor detection results. To effectively solve this problem, a novel cropland change detection network (CroplandCDNet) is proposed in this paper; this network combines an adaptive receptive field and multiscale feature transmission fusion to achieve accurate detection of cropland change information. CroplandCDNet first effectively extracts the multiscale features of cropland from bitemporal remote sensing images through the feature extraction module and subsequently embeds the receptive field adaptive SK attention (SKA) module to emphasize cropland change. Moreover, the SKA module effectively uses spatial context information for the dynamic adjustment of the convolution kernel size of cropland features at different scales. Finally, multiscale features and difference features are transmitted and fused layer by layer to obtain the content of cropland change. In the experiments, the proposed method is compared with six advanced change detection methods using the cropland change detection dataset (CLCD). The experimental results show that CroplandCDNet achieves the best F1 and OA at 76.04% and 94.47%, respectively. Its precision and recall are second best of all models at 76.46% and 75.63%, respectively. Moreover, a generalization experiment was carried out using the Jilin-1 dataset, which effectively verified the reliability of CroplandCDNet in cropland change detection.

BackgroundFunctional restoration of hemiplegic upper limbs is a difficult area in the field of neurological rehabilitation. Electrical stimulation is one of the treatments that has shown promising advancements and functional improvements. Most of the electrical stimulations used in clinical practice are surface stimulations. In this case, we aimed to investigate the feasibility of a minimally invasive, ultrasound-guided median nerve electrical stimulation (UG-MNES) in improving the upper limb motor function and activity of a patient with right-sided hemiparesis.Case presentationA 65-year-old male recovering from a left massive intracerebral hemorrhage after open debridement hematoma removal had impaired right limb movement, right hemianesthesia, motor aphasia, dysphagia, and complete dependence on his daily living ability. After receiving 3 months of conventional rehabilitation therapy, his cognitive, speech, and swallowing significantly improved but the Brunnstrom Motor Staging (BMS) of his right upper limb and hand was at stage I-I. UG-MNES was applied on the right upper limb for four sessions, once per week, together with conventional rehabilitation. Immediate improvement in the upper limb function was observed after the first treatment. To determine the effect of UG-MNES on long-term functional recovery, assessments were conducted a week after the second and fourth intervention sessions, and motor function recovery was observed after 4-week of rehabilitation. After completing the full rehabilitation course, his BMS was at stage V-IV, the completion time of Jebsen Hand Function Test (JHFT) was shortened, and the scores of Fugl-Meyer Assessment for upper extremity (FMA-UE) and Modified Barthel Index (MBI) were increased. Overall, the motor function of the hemiplegic upper limb had significantly improved, and the right hand was the utility hand. Electromyography (EMG) and nerve conduction velocity (NCV) tests were normal before and after treatment.ConclusionThe minimally invasive, UG-MNES could be a new alternative treatment in stroke rehabilitation for functional recovery of the upper limbs.

Gastrointestinal (GI) cancer is a series of malignant tumors with a high incidence globally. Although approaches for tumor diagnosis and therapy have advanced substantially, the mechanisms underlying the occurrence and progression of GI cancer are still unclear. Increasing evidence supports an important role for N6-methyladenosine (m6A) modification in many biological processes, including cancer-related processes via splicing, export, degradation, and translation of mRNAs. Under distinct cancer contexts, m6A regulators have different expression patterns and can regulate or be regulated by mRNAs and non-coding RNAs, especially long non-coding RNAs. The roles of m6A in cancer development have attracted increasing attention in epigenetics research. In this review, we synthesize progress in our understanding of m6A and its roles in GI cancer, especially esophageal, gastric, and colorectal cancers. Furthermore, we clarify the mechanism by which m6A contributes to GI cancer, providing a basis for the development of diagnostic, prognostic, and therapeutic targets.

Ganglia are nodular structures in the peripheral nervous system (PNS) that are formed by a cluster of neuron somas. They have important roles in communicating signals from peripheral organs to the nervous system and work as a unique structure of the PNS. As great advances in neuronal manipulation and recording techniques have been made, an increasing amount of research is focused on the function of ganglia. However, ganglion surgery is still very challenging, particularly in small animals such as mice. In the present study, we performed anatomical analyses of two types of sensory ganglia, the dorsal root ganglia and the trigeminal ganglia. Hematoxylin and eosin (H&E) staining revealed structural differences between ganglia and nerve fibers. Immunofluorescence staining with antibodies to neuronal nuclear antigen (NeuN), a neuron-specific marker, labels neurons in ganglia and distinguishes ganglia from other tissues, such as lymph nodes. This study describes the anatomical analysis of the dorsal root ganglia and the trigeminal ganglia, which provides an anatomical basis for functional studies.

Gastric cancer (GC) is one of the most common cancers, leading to the deaths of millions of people worldwide. Therefore, early detection and effective therapeutic strategies are of great value for decreasing the occurrence of advanced GC. The human microbiota is involved not only in the maintenance of physiological conditions, but also in human diseases such as obesity, diabetes, allergic and atopic diseases, and cancer. Currently, the composition of the bacteria in the host, their functions, and their influence on disease progression and treatment are being discussed. Previous studies on the gut microbiome have mostly focused on Helicobacter pylori (Hp) owing to its significant role in the development of GC. Nevertheless, the enrichment and diversity of other bacteria that can modulate the tumor microenvironment are involved in the progression of GC and the efficacy of immunotherapy. This review provides systematic insight into the components of the gut microbiota and their application in GC, including the specific bacteria of GC, their immunoregulatory effect, and their diagnostic value. Furthermore, we discuss the relationship between the metabolism of microbes and their potential applications, which may serve as a new approach for the diagnosis and treatment of GC.

Objectives Medical errors (MEs) and adverse events (AEs) both had long-term impacts on healthcare professionals. Studies investigated the associations between MEs, AEs, psychological distress and suicidal behaviours among healthcare professionals. The aim of the current study was to explore the mediating role of psychological distress in the relationship between MEs/AEs and suicidal ideation/suicide plan among operating room nurses in China.Design A cross-sectional study.Setting The survey was conducted between December 2021 and January 2022 in China.Participants A total of 787 operating room nurses completed the questionnaires in China.Primary and secondary outcome measures The primary outcome measures were MEs and AEs. Secondary outcome measures were psychological distress and suicidal behaviours.Results The results showed that 22.1% of operating room nurses were involved in MEs, while 13.9% of operating room nurses were involved in AEs. The associations between suicidal ideation (OR=1.10, p

Spicules, the smallest observable jetlike dynamic features ubiquitous in the chromosphere, are supposedly an important potential source for small-scale solar wind transients, with supporting evidence yet needed. We studied the high-resolution H α images (0.″10) and magnetograms (0.″29) from the Big Bear Solar Observatory to find that spicules are an ideal candidate for the solar wind magnetic switchbacks detected by the Parker Solar Probe (PSP). It is not that spicules are a miniature of coronal jets, but that they have unique properties not found in other solar candidates in explaining solar origin of switchbacks. (1) The spicules under this study originate from filigrees, all in a single magnetic polarity. Since filigrees are known as footpoints of open fields, the spicule guiding field lines can form a unipolar funnel, which is needed to create an SB patch, a group of field lines that switch from one common base polarity to the other polarity. (2) The spicules come in a cluster lined up along a supergranulation boundary, and the simulated waiting times from their spatial intervals exhibit a number distribution continuously decreasing from a few seconds to ∼30 minutes, similar to that of switchbacks. (3) From a time–distance map for spicules, we estimate their occurrence rate as 0.55 spicules Mm ^−2 s ^−1 , which is sufficiently high for detection by PSP. In addition, the dissimilarity of spicules with coronal jets, including the absence of base brightening and low correlation with EUV emission, is briefly discussed.

Traditional textile dyeing uses chemical pigments and dyes, which consumes a large amount of water and causes serious environmental pollution. Structural color is an essential means of achieving green dyeing of textiles, and thin-film interference is one of the principles of structural coloring. In the assembly of structural color films, it is necessary to introduce dark materials to suppress light scattering and improve the brightness of the fabric. In this study, the conditions for the generation of nanofilms of catechin (CC) at the gas–liquid interface were successfully investigated. At the same time, environmentally friendly colored silk fabrics were novelly prepared using polycatechin (PCC) structural color films. In addition, it was found that various structural colors were obtained on the surface of silk fabrics by adjusting the time. Meanwhile, the color fastness of the structural colored fabrics was improved by introducing polyvinylpyrrolidone (PVP) to form a strong hydrogen bond between the fabric and catechin. PCC film is uniform and smooth, with a special double-layer structure, and can be attached to the surface of silk fabrics, giving the fabrics special structural colors. Through the thin-film interference formed between the visible light and the PCC film, the silk fabrics obtain bright, controllable, and uniform structural colors. This method is easy to operate and provides a new way of thinking for environmental-protection-oriented coloring of fabrics.

Abstract Background Child maltreatment is a prevalent and notable problem in rural China, and the prevalence and severity of depression in rural areas are higher than the national norm. Several studies have found that loneliness and coping skills respectively mediated the relationship between child maltreatment and depression. However, few studies have examined the roles of loneliness and coping skills in child maltreatment and depression based on gender differences. Methods All participants were from rural communities aged more than 18 years in Shandong province, and 879 valid samples (female:63.4%) ranging in age from 18 to 91 years old were analyzed. The Childhood Trauma Questionnaire-Short Form (CTQ-SF), the Center for Epidemiologic Studies-Depression (CES-D), the Simple Coping Style Questionnaire (SCSQ), and the Emotional and Social Loneliness Scale (ESLS) were used to evaluate child maltreatment, depression, coping skills and loneliness. Results Child maltreatment was more common and severe in males than females (F = 3.99; p

BackgroundChickenpox is an old but easily neglected infectious disease. Although chickenpox is preventable by vaccines, vaccine breakthroughs often occur, and the chickenpox epidemic is on the rise. Chickenpox is not included in the list of regulated communicable diseases that must be reported and controlled by public and health departments; therefore, it is crucial to rapidly identify and report varicella outbreaks during the early stages. The Baidu index (BDI) can supplement the traditional surveillance system for infectious diseases, such as brucellosis and dengue, in China. The number of reported chickenpox cases and internet search data also showed a similar trend. BDI can be a useful tool to display the outbreak of infectious diseases. ObjectiveThis study aimed to develop an efficient disease surveillance method that uses BDI to assist in traditional surveillance. MethodsChickenpox incidence data (weekly from January 2017 to June 2021) reported by the Yunnan Province Center for Disease Control and Prevention were obtained to evaluate the relationship between the incidence of chickenpox and BDI. We applied a support vector machine regression (SVR) model and a multiple regression prediction model with BDI to predict the incidence of chickenpox. In addition, we used the SVR model to predict the number of chickenpox cases from June 2021 to the first week of April 2022. ResultsThe analysis showed that there was a close correlation between the weekly number of newly diagnosed cases and the BDI. In the search terms we collected, the highest Spearman correlation coefficient was 0.747. Most BDI search terms, such as “chickenpox,” “chickenpox treatment,” “treatment of chickenpox,” “chickenpox symptoms,” and “chickenpox virus,” trend consistently. Some BDI search terms, such as “chickenpox pictures,” “symptoms of chickenpox,” “chickenpox vaccine,” and “is chickenpox vaccine necessary,” appeared earlier than the trend of “chickenpox virus.” The 2 models were compared, the SVR model performed better in all the applied measurements: fitting effect, R2=0.9108, root mean square error (RMSE)=96.2995, and mean absolute error (MAE)=73.3988; and prediction effect, R2=0.548, RMSE=189.1807, and MAE=147.5412. In addition, we applied the SVR model to predict the number of reported cases weekly in Yunnan from June 2021 to April 2022 using the same period of the BDI. The results showed that the fluctuation of the time series from July 2021 to April 2022 was similar to that of the last year and a half with no change in the level of prevention and control. ConclusionsThese findings indicated that the BDI in Yunnan Province can predict the incidence of chickenpox in the same period. Thus, the BDI is a useful tool for monitoring the chickenpox epidemic and for complementing traditional monitoring systems.

Colorectal cancer (CRC) has been the third commonest cancer in the world. The prognosis of patients with CRC is related to the molecular subtypes and gene mutations, which is prone to recurrence, metastasis, and drug resistance. Mesenchymal stem cells (MSCs) are a group of progenitor ones with the capabilities of self-renewal， multi-directional differentiation, and tissue re-population, which could be isolated from various kinds of tissues and be differentiated into diverse cell types. In recent years, MSCs are applied for mechanisms study of tissue repairing, graft-versus-host disease (GVHD) and autoimmune-related disease, and tumor development, with the advantages of anti‐inflammation, multi-lineage differentiation, and homing capability. Integrating the chemotherapy and MSCs therapy might provide a novel treatment approach for CRC patients. In this review, we summarize the current progress in the integrated treatment of integrating the MSCs and chemotherapy for CRC.

An outdoor experiment was conducted to measure the thickness of oil films (0~3000 μm) using an airborne hyperspectral imager and thermal infrared imager, and the spectral response and thermal response of oil films of different thicknesses were analyzed. The classic support vector regression (SVR) model was used to retrieve the oil film thickness. On this basis, the suitable range for retrieving oil film thickness using hyperspectral and thermal infrared remote sensing was explored, and the decision-level fusion algorithm was developed to fuse the retrieval capabilities of hyperspectral and thermal infrared remote sensing for oil film thickness. The following conclusions can be drawn: (1) Based on airborne hyperspectral data and thermal infrared data, the retrieval accuracy of oil films of different thicknesses reached 154.31 μm and 116.59 μm, respectively. (2) The S185 hyperspectral data were beneficial for retrieving thicknesses greater than or equal to 400 μm, and the H20T thermal infrared data were beneficial for retrieving thicknesses greater than 500 μm. (3) The result of the decision-level fusion model based on a fuzzy membership degree was superior to those obtained using a single sensor (hyperspectral or thermal infrared), indicating that it can better integrate the retrieval results of hyperspectral and thermal infrared remote sensing for oil film thickness. Furthermore, the feasibility of using hyperspectral and thermal infrared remote sensing to detect water-in-oil emulsions of different thicknesses was investigated through spectral response and thermal response analysis.