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The evolution of landscape patterns due to land use change and urbanization has a great impact on ecosystem services, especially on food production services. As natural ecosystems, exploring the spatial and temporal influence mechanisms of watershed landscape patterns on food production services can enhance the supply of food production services and maintain food security through landscape pattern optimization. This study took Jiangxi Province as the study area, and measured the spatial distribution of grain production services for five periods in 2000, 2005, 2010, 2015, and 2020; from three dimensions of shape, area, and spatial distribution, we selected the patch density (PD), the mean patch size (MPS), the patch cohesion index (COHESION), and the Landscape Shape Index (LSI) to measure the landscape pattern characteristics of the watershed unit; using spatio-temporal geographically weighted regression model to explore the influence mechanism of landscape pattern changes on grain production services; and based on the spatial heterogeneity of the influence mechanism to divide the landscape regulation zones, and put forward the proposal of zonal regulation of the landscape pattern. The results show that: 1) From 2000 to 2015, the overall supply of food production services in Jiangxi Province showed a fluctuating upward trend, and then fell back in 2015, with large differences in the capacity of food production services in various basins, and the center of gravity extended from the Poyang Lake Plain to the southwest, forming the aggregated distribution characteristics centered on the plains and basins, and the GP presented the pattern of Poyang Lake Plain > Jitai Basin > Gannan Hills > Northwestern Low Hilly Area. 2) During the period of 2000-2020, the landscape pattern was changed to a more heterogeneous landscape, and a proposal for zoning control of the landscape was made based on the influence mechanism.) During the period of 2000-2020, the direction and degree of change of landscape pattern index differ greatly, with the patch density and landscape shape index increasing by 5.35% and 1.39% respectively; the average patch area and landscape connectivity index decreasing by 5.14% and 0.68% respectively, and the landscape pattern tends to be complicated, fragmented and dispersed, and the landscape fragmentation is roughly presented as The landscape fragmentation is roughly in the distribution pattern of “high in the plains and basins, low in the mountains and hills; high in the north of Gan, low in the south of Gan”. 3) The spatial and temporal evolution of GP is the result of the joint action of many factors, and the influence of each landscape driving factor on GP shows a piecewise or bandwise spatial distribution pattern. Among them, cultivated land area, water density, and water shape have positive effects on GP, while water area, woodland density, and grassland shape have negative effects on GP.4) Summarizing the spatial differentiation characteristics of landscape factor coefficients, the study area is divided into four clustering areas, namely, northeast Gan monsoon area, Poyang Lake plain area, central main production area, and southern hilly area, and corresponding regional landscape regulation suggestions are proposed. The results of the study can provide reference for the enhancement of food production services and landscape pattern regulation in Jiangxi watersheds, and strengthen the pertinence of the regulation measures in the research unit. [ABSTRACT FROM AUTHOR]

Liver fibrosis and cirrhosis are the common outcomes of various chronic liver diseases after progression, and studies have shown that liver fibrosis and early liver cirrhosis can be reversed. Compound traditional Chinese medicine prescriptions have a marked therapeutic effect in reversing liver fibrosis and early liver cirrhosis, and their mechanism of action remains unclear. By reviewing related articles in China and globally, this article summarizes the six main phenotypic mechanisms involved in the efficacy of compound traditional Chinese medicine prescriptions, i. e., inhibiting liver inflammation and regulating liver immune response, regulating hepatic stellate cell activation and extracellular matrix (ECM) generation, promoting ECM degradation, reversing hepatic sinusoidal capillarization, regulating hepatocyte regeneration, and regulating gut microbiota, and in addition, this article also analyzes the advances and shortcomings in current studies on each phenotype. Future studies on compound traditional Chinese medicine prescriptions should focus on experimental exploration and rescue experiments to verify the above phenotypes and further explore the upstream and downstream signaling pathways with a marked effect. This article aims to help clarify the direction and ideas of studies on the therapeutic mechanism of compound traditional Chinese medicine prescriptions, in order to provide a basis for clarifying the scientific essence of compound traditional Chinese medicine prescriptions. [ABSTRACT FROM AUTHOR]

Objective: To analyze gene expression data of esophageal adenocarcinoma (EAC) in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases and clarify the relationship between the potential core genes and tumor lymphocyte infiltration in the EAC, and to provide the molecular targets for the diagnosis and treatment of EAC. Methods: The high-throughput chip datasets GSE13898, GSE26886, GSE74553, and GSE92396, including EAC and normal esophageal tissues, were downloaded from the GEO database by searching for “esophageal adenocarcinoma”. The limma package of R software was used to screen the differentially expressed genes (DEGs) in EAC tissue and esophageal normal tissue, and the common DEGs were obtained through Venn diagram. After the DEGs were analyzed by STRING database, the results were imported into Cytoscape software to screen the core genes and construct the protein-protein interaction (PPI) network. The Gene Expression Profiling Interactive Analysis (GEPIA) database was used to verify the expression levels of core genes. The UALCAN and Kaplan-Meier Plotter databases were used to analyze the correlations between the core genes and prognosis and clinical data of the EAC patients. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the relationship between core genes and tumor immune infiltration. Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analysis were performed to analyze the positively correlated genes of core genes obtained from the LinkedOmics database. Results: A total of 340 DEGs were obtained from the intersection of DEGs from the four GEO datasets, including 127 upregulated genes and 213 downregulated genes. After screening with the STRING database and Cytoscape software, the key core genes with the highest scores were secreted phosphoprotein 1(SPP1) and transforming growth factor beta 1(TGFB1). The GEPIA database analysis results showed that compared with esophageal normal tissue, the expression levels of SPP1 and TGFB1 mRNA in cancer tissue were significantly increased (P<0. 01). The 1-year, 3-year, and 5-year overall survival of the EAC patients in SPP1 low expression group was higher than those in SPP1 high expression group (HR=10. 1, P<0. 05; HR=3. 09, P<0. 05; HR=2. 32, P<0. 05), and the 5-year overall survival of the EAC patients in TGFB1 low expression group was higher than that in TGFB1 high expression group (HR=2. 36, P<0. 05). The UALCAN database analysis results showed that compared with esophageal normal tissue, the expression levels of SPP1 and TGFB1 mRNA in cancer tissue of the EAC patients with stage Ⅱ-Ⅲ and N1-N2 lymph node metastasis were significantly increased (P<0. 01). The TIMER analysis results showed that the expression levels of SPP1 and TGFB1 mRNA in cancer tissue of the EAC patients were positively correlated with the infiltration of macrophages (r= 0. 353, P<0. 01; r=0. 187, P<0. 05) and dendritic cells (r=0. 236, P<0. 01; r=0. 221, P<0. 01). The GO and KEGG pathway enrichment analysis results showed that SPP1, TGFB1, and their top 50 positively correlated genes mainly participated in the biological processes such as cell migration, cell activity, and angiogenesis, and signaling pathways such as tumor proteoglycans, extracellular matrix (ECM)-receptor interaction, and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT). Conclusion: SPP1 and TGFB1 are closely associated with clinical staging, lymph node metastasis, and overall survival of the EAC patients. High expressions of SPP1 and TGFB1 may lead to the infiltration of the macrophages and dendritic cells, and change the tumor microenvironment. SPP1 and TGFB1 may become new targets for the diagnosis and treatment of EAC. [ABSTRACT FROM AUTHOR]

The rich variety of wild animal resources during the Paleolithic period in northeast China was an important guarantee for human sustainable survival and development. This study comprehensively adopts statistical analysis, species composition, natural environment restoration and other methods to investigate the distribution of wildlife resources, natural environment evolution, human hunting strategies, and other aspects. The research results indicate that during the early and middle Paleolithic periods, there were relatively more wild animal resources in lower latitude areas, hilly and plateau types, and mountainous and hilly types; During the late Paleolithic period, there were relatively more wild animal resources in higher latitude areas, river lake terrace types, and hilly and plateau types. From the perspective of the impact of natural environmental changes on the way humans acquired wildlife resources, in the early Paleolithic period, which was generally warm and humid, people tended to hunt large and medium-sized mammals, resulting in lower utilization efficiency; In the cold and dry Middle Paleolithic period, humans changed their hunting strategies and improved their utilization efficiency; In the late Paleolithic period with frequent fluctuations in temperature, humans responded to the reduction of wildlife resources in the context of the climate crisis by strengthening the use of large mammals, innovating stone technology, and expanding hunting targets. At the same time, the extinction process of large mammal populations in the northeast region was accelerated accordingly. [ABSTRACT FROM AUTHOR]

Objective To investigate the role and mechanism of lysine acetyltransferase 8 (KAT8) on the proliferation of colorectal cancer cells. Methods The expression of KAT8 in cancerous tissues and adjacent tissues of colorectal cancer patients was analyzed by RNA-seq data of TCGA database. Cell proliferation was detected by colony-forming unit assays and CCK8. The GEO database was used to analyze the differential genes of KAT8 knockdown cells and control cells and perform functional pathway enrichment analysis. In the colorectal cancer database hosted on eBioPortal, that conducted an analysis examining the correlation between KAT8 and genes in the regulation of N6-methyladenosine (m6A) modification. Western blot technique was employed to assess the protein expression levels of KAT8 and METTL3. Results Compared to human normal colorectal tissue, KAT8 was highly expressed in colorectal cancer(P<0.05). Knockdown or selective inactivation of KAT8 inhibited colorectal cancer cells proliferation (P<0.05). In colorectal cancer cell lines, knocking down KAT8 reduced m6A modification levels (P<0.05). Knocking down KAT8 inhibited METTL3 expression (P<0.05). Over-expression of METTL3 reversed cell proliferation which was inhibited by knockdown KAT8 (P<0.05). Conclusions KAT8 facilitates the proliferation of colorectal cancer cell lines through regulation of METTL3-mediated m6A modifications. [ABSTRACT FROM AUTHOR]

In order to ensure accurate spraying of pesticides and reduce the loss of pesticides in fruit trees, a calculation model of precise pesticide spraying quantity in orchards was established. The model included the canopy parameters, interface properties of the fruit tree, and the pesticide destination in the orchard, which could be used to guide the modes of spraying for different plant protection machinery under different planting patterns in the orchard. By selecting 'Fushi' apple leaves of different phenological periods as research objects, the leaf surface free energy and canopy parameters were tested. The relationship between liquid surface tension and maximum liquid holdup was established for apple leaves. The maximum pesticide loading of the whole tree was calculated based on maximum liquid holdup and canopy parameters. The calculation model of precise pesticide spraying quantity was established, combined with the pesticide destination in the orchard. The application of two kinds of spraying machines, stretcher plunger pump sprayer in the low-density planting orchard and selfpropelled axial flow sprayer in the close planting orchard, were taken as examples, and the practicability of the model was verified. The results showed that the use of a stretcher plunger pump sprayer in the early stage in the low-density planting orchard could save 37.40% of liquid compared with the original, and 18.75% of liquid could be saved in the later stage. The use of a self-propelled axial flow sprayer in the late stage of the close planting orchard can save 28% of the liquid. There was no significant difference between the control efficacy and the dosage of conventional liquid medicine. This model combined the interface properties of apple leaves with the application equipment could not only calculate accurately the spraying amount of pesticide according to the actual situation of the orchard， but also evaluate the applicability of pesticide liquid at a certain period. The mode could adjust the parameters of the pesticide liquid and spray machine according to the actual situation, so as to achieve the purpose of precise pesticide application. [ABSTRACT FROM AUTHOR]

In the multi-robot patrol task, it is difficult for a single robot to obtain global information due to the limitation of the communication distance. However, most existing multi-robot distributed patrol algorithms require each robot to obtain global information of its patrol area for decision-making. Therefore, this paper addressed on the communication radius constrain and the local information constrain to completes patrol tasks through the interaction between neighbor robots, and proposed two solution algorithms based on discrete-time consensus theory. Algorithm 1 used global information for decision-making. Algorithm 2 used discrete-time consensus theory to predict and make decisions based on local information. Through the simulator Stage, the proposed algorithm and the comparison algorithm were simulated and compared under different robot numbers, communication radii and map environments. The simulation verifies that the proposed fully distributed multi-robot patrol algorithm based on local information has similar characteristics and performance to the original algorithm, enabling robots to judge the global state without global information and complete patrol tasks based on the negotiation between neighbors. [ABSTRACT FROM AUTHOR]

Automated harvesting holds the promising potential in the informatization and automation of smart agriculture. Manual harvesting can be replaced to improve the high efficiency and cost saving. However, the existing models are limited to the large number of overlapping citrus fruits, branch and leaf occlusion in the complex environments, particularly for the much more parameters and high computational complexity. In this study, an improved YOLOv8-MEIN model was proposed for the citrus recognition using YOLOv8n. Firstly, the more efficient (ME) convolution module was designed to improve the CSPDarknet53 into 2-Stage feature pyramid network (C2f) module of YOLOv8n. The high number of common convolutional parameters and computation were reduced to fully meet the requirements of the real-time detection, due to the conditions of mobile hardware performance. The overall computation was also reduced to decrease the number of parameters in the model. Secondly, the Inner- complete intersection over union (CIoU) loss function was used to accelerate the bounding box regression for the better performance of the model. The weak generalization and slow convergence of the CIoU loss function were also compensated in the detection task. The reason was that the CIoU loss function only considered the shape loss in original YOLOv8, thus degenerating to the IoU loss function, when the target and bounding box were at the same aspect ratio. Finally, the YOLOv8-MEIN model was validated for the citrus detection. The YOLOv5s, YOLOv7-tiny, Faster R-CNN, and YOLOv8n models were selected for the training and testing on the citrus dataset. A comparison was carried out on the self-built citrus dataset under the same number of iteration rounds, in order to verify the performance of the YOLOv8-MEIN model. The YOLOv8-MEIN was improved 5.85 percentage points in the recall, 14.3 percentage points in the mean average precision (mAP) mAP0.5 metrics, and 34.8 percentage points in mAP0.5~0.95 metrics, compared with the two-stage Faster R-CNN, where the model size was only 5.1% of Faster R-CNN. Compared with the lightweight networks of YOLO series, such as YOLOv5s, YOLOv7-tiny, and YOLOv8n, the number of parameters was reduced by 59.1%, 52.3%, and 4.4%, respectively, whereas, the mAP0.5~0.95 values were improved by 0.7, 4.0, and 0.6 percentage points, respectively, indicating the outstanding mAP0.5. The experimental results show that the YOLOv8-MEIN model was achieved in the higher detection accuracy and efficiency with the smallest model volume and the lower computational cost. More convenient model was found for the transplantation and application suitable for the real-time target detection of citrus. The size of model and the number of parameters were reduced by 3.3 and 4.3 percentage points, respectively, compared with the mainstream target detections. The improved model was fully met the requirements for the fast and accurate recognition of citrus fruits in the complex environments. The finding can provide the technical references for the automated harvesting of citrus fruits. [ABSTRACT FROM AUTHOR]

Y‑type composite joints with different inclination angles are prefabricated in granite specimens using the splitting method, and uniaxial compression experiments are conducted. The effects of the inclination angle of the composite joint on the failure mode, peak strength, surface deformation field, and acoustic emission energy release characteristics are analyzed, and the failure mechanism under different failure modes is explored. The experimental results show that: 1) Rock with Y‐shaped composite joints exhibit three main failure modes: overall failure, wedge ejection failure, and failure along the main joint surface, which vary with joint inclination; 2) The angle of composite joints and the inclination angle of main joints have a negative correlation with rock strength; 3) When the failure mode transitions changes from overall failure to ejection failure and failure along the main joint, the concentrated slip deformation zone shifts from the secondary joint to the main joint, and the high‐energy AE events induce a transition from the main and secondary joint compaction and slip dislocation to the main joint compaction and slip dislocation; 4) As the inclination angle of the main joint increases, the energy released on the main joint surface is higher and the distribution of energy is more uneven. [ABSTRACT FROM AUTHOR]

Objective: To explore the relationship between serum C-reactive protein (CRP), albumin, S100B protein and the severity of traumatic brain injury and its complication with acute traumatic coagulation disease. Methods: 80 patients with brain injury admitted to our hospital from March 2020 to March 2023 were selected as the research subjects. All patients were evaluated using the Glass Coma Score (GCS), and the severity of the brain injury was determined based on the score results. 25 patients with a GCS score of ≤ 8 were divided into a severe group, and 55 patients with a GCS score of>8 were divided into a non severe group. Compare the expression levels of serum CRP, albumin, and S100B protein between two groups of patients. Subsequently, 80 patients with traumatic brain injury were divided into an acute traumatic coagulation disease group (n=20) and a non acute traumatic coagulation disease group (n=60) based on whether they were complicated with acute traumatic coagulation disease. The general clinical situation of the two groups of patients was compared, and the predictive value of serum CRP, albumin, and S100B protein for the occurrence of acute traumatic coagulation disease in patients with traumatic brain injury was analyzed. Results: There was no difference in albumin levels among patients with different severity of brain injury(P>0.05), but there was a difference in CRP and S100B protein levels. The CRP level in the severe group was higher than that in the non severe group, while the S100B protein level was lower than that in the non severe group (P<0.05); The Spearman correlation analysis results showed that there was no significant correlation between albumin and the severity of brain injury (P>0.05), CRP was positively correlated with the severity of brain injury, and S100B protein was negatively correlated with the severity of brain injury (P<0.05); There was no significant difference in gender, age, BMI, and type of brain injury between the acute traumatic coagulation disease group and the non acute traumatic coagulation disease group(P>0.05). However, there was a significant difference in the range of brain contusion, treatment time, GCS score, shock index, CRP, albumin, and S100B protein levels between the acute traumatic coagulation disease group and the non acute traumatic coagulation disease group(P<0.05); The results of logistic regression analysis showed that GCS score, shock index, CRP, and albumin were independent influencing factors for acute traumatic coagulation disease after brain injury(P<0.05). Conclusion: The detection of CRP and S100B protein on admission can assist the severity of craniocerebral injury early, and when patients with high CRP level and low S100B protein and albumin level, they should be alert to the occurrence of acute traumatic coagulopathy, and take timely measures to intervene for patients. [ABSTRACT FROM AUTHOR]

On December 23-24, 2023, the 2023 Annual Conference on Information Behavior Research was held at Peking University, with more than 200 participants from over 70 universities across China. The theme of this year's conference is "Research on Information Behaviors from the AI Empowerment perspective". The agenda of the conference include keynote speeches, panel discussions, poster presentations, sub- forum oral presentation of full papers, and a workshop on eyetracking method, to conduct in-depth discussions on theoretical innovation, method application, situational expansion, humanistic care, social development, and other aspects of information behavior research in the new wave of artificial intelligence (AI) technology. The article summarizes the academic achievements and main viewpoints of the participants, providing theoretical enlightenment and research guidance for the exploration and innovation of information behavior research. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] The development of the Internet has led to the rapid development of social networks, providing users with a convenient channel for the release, dissemination and acceptance of information. However, its low-threshold characteristics have also given rise to a group of the "Internet water army"・・online social spammers, who are paid to post online comments with particular content and spread false information on purpose. They have become a major problem for the Internet ecology. It is of great significance to detect the Internet water army, prevent their malicious attacks, and combat and eliminate their negative effects on the security of the online public opinion. [Method/Process] First, we analyzed the development process and characteristics of the online social spammers, summarized the algorithms used in previous studies and the characteristics mentioned, and sorted out three research starting points: text features, interaction features and graph structure features. Then, an online social spammer detection method based on deep learning was proposed. Combined with the three aspects of user basic information, historical remarks and interaction behavior, six types of features were extracted from the basic information, recent remarks, social intimacy, interaction behavior, microblog number and membership level. Through feature depth extraction and vector splicing and fusion, the user feature vectors were formed with the same length. Finally, a convolutional neural network was used as a classifier to build an automatic, high-precision and high-efficiency spammer detection model. Two Chinese online spammer datasets collected from the Sina Weibo platform were selected for the experiment. The features of the datasets were spliced and aligned to form the Weibo Spammer 2023 dataset as the model training dataset, which prevented the data features of a single dataset from being too discrete and reducing modle generalization. Considering the overfitting problem in the model training process, we solved the problem by adding abandoned layers. [Results/Conclusions] The online spammer detection model constructed in this experiment has significantly improved in terms of metrics such as precision and accuracy. At the same time, the ablation experiment shows that the six features extracted in this e迎eriment have a positive effect on the detection process. Through empirical analysis, the model constructed in this paper has a high detection accuracy and detection efficiency, which can provide certain technical support and theoretical guidance for online spammer identification. By using machine learning methods to actively identify online social spammer accounts, real-time monitoring and prevention of key spammer accounts can prevent the occurrence of malicious network events more timely and effectively and reduce the risk of illegal forces damaging the public opinion ecology. [ABSTRACT FROM AUTHOR]

In recent years, as the transportation system becomes more and more developed and people travel more and more frequently, it has become an important means to check people′s packages through X-ray security screening machines to prevent incidents endangering public safety. At present, dangerous goods detection of X-ray images in many places is still carried out manually by security inspectors, which has problems of heavy workload and low efficiency. Therefore, it is necessary to use the existing target detection technology to detect dangerous goods automatically. However, the background of dangerous goods in X-ray images is often complicated, which leads to the low accuracy of the automatic detection of dangerous goods. Therefore, this paper proposes an improved att＿decouple＿YOLOv5s model. By introducing the Convolutional Block Attention Module (CBAM) in the feature fusion part of YOLOv5s model, the relevant feature information is strengthened and the background information is suppressed; The detection head of the model is decoupled by the parallel branch method to solve the conflict problem caused by the coupling of classification and positioning tasks. Finally, this paper tested 12 kinds of dangerous goods in X-ray images in the public data set pidray. The experimental results showed that the average accuracy of the detection performance index of the proposed model reached 88.1% when the IoU (Intersection over Union) threshold was 0.5, which was 2.8% higher than that of the YOLOv5s model; When the IoU threshold was between 0.5 and 0.95, the average precision reached 76.6%, which was 4.3% higher than that of YOLOv5s. The effectiveness of the improved algorithm is fully verified. [ABSTRACT FROM AUTHOR]

Objective: To analyze the correlation between CT bone imaging parameters and lateral meniscus injury and postoperative knee function in patients with Schatzker type Ⅱ tibial plateau fracture. Methods: 106 patients with Schatzker type Ⅱ tibial plateau fracture treated in Honghui Hospital Affiliated to Xi ’an Jiaotong University from January 2020 to December 2022 were selected as research objects. According to whether there was lateral meniscus injury,they were divided into meniscus injury group and meniscus normal group. CT examination was performed on all patients to detect bone imaging parameters [collapse value of lateral tibial plateau (LPD),widening value of lateral tibial plateau (LPW) ], and LPD and LPW of injured and non-injured groups were compared. The efficacy of LPD and LPW in predicting lateral meniscus injury was analyzed by receiver operating characteristic curve (ROC) . Pearson correlation was used to analyze the relationship between LPD, LPW and postoperative knee HSS score. Results: LPD and LPW in the injured meniscus group were higher than those in the normal meniscus group (P＜0.05) . According to ROC curve analysis, the best truncation values of LPD and LPW for predicting lateral menisus injury in patients with Schatzker type Ⅱ tibial plateau fracture were 14.13 mm and 8.67 mm,respectively,and the AUC was 0.655 and 0.750, respectively, and the AUC predicted by the combination of LPD and LPW was 0.925.The excellent grade distribution of knee function evaluation in LPD＜14.13 mm group was better than that in LPD ≥14.13 mm group (P＜0.05) . LPW＜8.67 mm group was better than LPW≥8.67 mm group (P＜0.05) . According to Pearson correlation analysis, LPD, LPW and postoperative knee HSS scores in Schatzker type Ⅱ tibial plateau fracture were negatively correlated (P＜0.05) . Conclusion: In the CT bone imaging parameter detection of Schatzker type Ⅱ tibial plateau fracture patients, LPD combined with LPW has a good efficacy in predicting lateral meniscus injury, and both of them are closely related to postoperative knee function,worthy of further study and application. [ABSTRACT FROM AUTHOR]

Objectives: It is of great importance to precisely acquire the spatial distribution and dynamic variations of plastic greenhouses for agricultural development planning, grain assessment, and ecological environment monitoring. High-resolution remote sensing images offer detailed information of plastic greenhouse shapes and boundaries, satisfies the requirements of precision agriculture, and have irreplaceable advantages in conducting precise surveys of plastic greenhouses in crucial regions. Nevertheless, the mapping model of plastic greenhouses meets the challenges including inadequate prior information and unbalance between mapping accuracy and model complexity. Methods: This paper introduces a semantic segmentation model for plastic greenhouse that integrates the advanced plastic greenhouse index (APGI) and high-resolution red green blue (RGB) images. The proposed model primarily comprises the APGI semantic branch, RGB semantic branch, and RGB detail branch, and it incorporates an attention mechanism to effectively merge reliable prior information from the APGI index and spatial detail information derived from high-resolution RGB images. Furthermore, a model training mechanism guided by boundary information is proposed to enhance the precise recognition capability of the proposed model for plastic greenhouse boundary pixels. Results: The study reveals that, within an attention-guided fusion framework, the medium-resolution APGI can significantly enhance the identification capabilities of plastic greenhouses in high-resolution images. The proposed model can not only improve the mapping accuracy of plastic greenhouses but also greatly simpl-ifie the parameter size and computational complexity of the semantic segmentation model. Conclusions: This study meets the demands for rapid and accurate extraction of plastic greenhouse in high-resolution remote sensing images. [ABSTRACT FROM AUTHOR]

In this paper, V-shaped and W-shaped hole blocking layer (HBL) structures are designed to improve hole leakage in the n-type region of AlGaN-based deep ultraviolet laser diodes (DUV-LD). Using Crosslight software, three kinds of hole-blocking layer structures of reference rectangular, V-shaped and W-shaped are simulated and studied, and the DUV-LD energy band, n-region hole concentration, radiative recombination rate, electro-optical and optical properties of the three different structures are compared respectively. Conversion efficiency, carrier concentration in the active region and other characteristics, the results show that the DUV-LD with a W-shaped hole blocking layer has higher hole effective barrier height, higher radiative recombination rate, lower hole The leakage and better slope efficiency can effectively reduce the hole leakage in the n-type region of the deep ultraviolet laser diode, and improve its optical and electrical performance [ABSTRACT FROM AUTHOR]

During the 2018—2022 bird resource survey in Jilin Province, five species of European robin (Erithacus rubecula； 43°52′34.76″ N,125°21′52.74″ E), azure tit (Cyanistes cyanus； 43°52′33.61″ N, 125°21′53.08″ E； 43°49′18.99″ N,125°21′19.65″ E), black-legged kittiwake (Rissa tridactyla； 43°48′44.02″ N, 125°20′56.08″ E), intermediate egret (Ardea intermedia； 43°57′46.09″ N,125°22′5.71″ E) and red-crested pochard (Netta rufina； 43°58′2.72″ N,125°22′4.42″ E； 43°48′27.18″ N,125°20′49.41″ E) were recorded and photographed. It was confirmed as new distribution records in Jilin Province after reviewing the relevant literature. [ABSTRACT FROM AUTHOR]

The Chishan REE deposit is located in southwest of western Shandong uplift area. It is a hard rock and ultra-large type light rare earth deposit. Previous studies have found that the rare earth mineralization is closely related to the Chishan alkaline complex. The genesis of the rock mass and the formation age of the deposit are still scientific issues that need attention. Therefore, a systematic study on the petrography, geochronology, trace element and isotope geochemistry of the Chishan alkaline complex was carried out in this paper, and Re-Os isotopic dating of the deposit was carried out for the first time using the molybdenite. The results show that the zircon U-Pb age of the Chishan alkaline complex is 119. 9±0. 9 Ma, and the molybdenite Re-Os isotope age is 120. 0±1. 8 Ma, indicating that the diagenesis and mineralization are the products of Early Cretaceous magmatism. The Chishan alkaline complex rock mass is characterized by rich alkali and poor magnesium, belonging to alkaline rock series. The total amount of rare earth elements is high, and the REE pattern is characterized by a strong enrichment of light rare earth elements as a right-leaning direction. The trace elements are enriched in Ba, Th, U and Nd, and depleted in Nb, Ta, Zr and Hf. The whole rock ( 87Sr/ 86Sr)i value is 0. 706 36-0. 711 68, the εNd(t) value is from -9. 70 to -8. 82, and the zircon εHf(t) value is from -6. 75 to -12. 22, indicating that the magma source area has the characteristics of mantle enriched in EMⅠ. In summary, the diagenesis and mineralization of the Chishan REE deposit should be formed in an extensional tectonic setting, which is closely related to the enriched mantle upwelling caused by the destruction and reduction of North China Craton lithosphere in Early Cretaceous. [ABSTRACT FROM AUTHOR]

WRKY is a plant-specific transcriptional regulator with zinc-finger domain, which is involved in regulating plant stress resistance, growth and development, and metabolism. To explore the biological function of the WRKY transcription factor ZjWRKY22 in the easily cracked jujube variety Huping, and provide a theoretical basis for revealing the molecular mechanism of jujube WRKY in response to abiotic stress, in this study, the coding region of the ZjWRKY22 gene sequence was cloned for bioinformatics prediction, and the differential expression analysis of the bearing branches, stem, leaf, flower, and fruit of the jujube were carried out. The results showed that the length of CDS sequence of ZjWRKY22 gene obtained in the jujube variety Huping was 1 068 bp, encoding 335 amino acids with a molecular weight of 38.9 ku and isoelectric point of 5.92. Its molecular formula was C1682H2582N472O568S13. The protein contained 18% of serine and was hydrophilic unstable protein. It embraced 76 phosphorylation sites without signal peptides and transmembrane domains. The secondary structure mainly consisted of random curl with a typical WRKY domain. The tertiary structure was mainly composed of four β-folds, namely WRKYGQK, RGYYR, RKQVER, and FIVTYT, which belonged to the IIe group of the WRKY family. The homologous sequence alignment showed that the homology of jujube with bayberry, peach, almond, and plum was 75.86%, 74.88%, 74.41%, and 74.88%, respectively. The phylogenetic tree showed that ZjWRKY22 was the closest relative to sour jujube. Real-time fluorescence quantification showed that the expression of ZjWRKY22 was the highest in fruits with tissue specificity. Further, the fusion expression vector pCAMBIA1300-GFP-ZjWRKY22 was constructed, and subcellular localization was performed by instantaneous injection of Agrobacterium into Ben's tobacco to verify that protein ZjWRKY22 was located in the nucleus, simultaneously, the plant overexpression vector pCAMBIA-1300-ZjWRKY22 was successfully constructed. [ABSTRACT FROM AUTHOR]

Through the analysis of some special Chinese characters in the Xin Dynasty, Wuzhou Dynasty, Taiping Heavenly Kingdom and modern times, it can be concluded that the special Chinese characters have three super linguistic sign functions: rhetoric, taboo and reflecting emotion. These functions are derived from the particularity of the nature of Chinese characters: some functions are realized by connecting words unrelated to form and meaning with pictographic characters as a bridge; some functions are realized by highlighting or weakening the meaning of a component in the glyph; and other functions are realized by the square appearance of Chinese characters. Through the analysis of characters such as “囧 (jiong)”“叕 (zhuo)”“疊 (die)”, it can be found that the study of the super linguistic sign functions of special Chinese characters reasonably combines the ontology of Chinese characters with the cultural connotation behind them, which has a certain role in promoting the study of Chinese character culture. [ABSTRACT FROM AUTHOR]

In order to explore the fertilizer effect of appropriate application of organic fertilizers replacing chemical fertilizers and provide the thoretic basis for reduction of fertilizers, increase of efficiency, and high yield, in this experiment,Jingu 59 was taken as the experimental material, four fertilization modes including no fertilization, single chemical fertilizer application, single organic fertilizer application, and combined application of organic and inorganic fertilizer were designed to study the effects of the four different fertilization modes on the yield, economic benefits of millet from 2018 to 2020. The results showed that the agronomic efficiency of nitrogen, phosphorus, and potassium under single chemical fertilizer application was the highest among all fertilization treatments. Compared with no fertilizer treatment, the yield and economic benefit of millet treated with organic fertilizer alone increased, but decreased compared with the combined application of organic and inorganic fertilizer. Compared with no fertilization, the average nitrogen harvest index, phosphorus harvest index, and potassium harvest index of millet from 2018 to 2020 increased by 6.18%-28.67%, 16.90%-37.00% and 15.68%-32.49%, respectively. The average grain yield increased by 22.96%-65.09%. The average economic income increased by 3 522.5-8 982.8 yuan/ha. Among them, the treatment of combination of organic and half inorganic fertilizer had obvious effect of increasing yield and income compared with no fertilization treatment, increasing average yield by 44.65% and annual income by 5 389 yuan/ha. Considering from the aspects of fertilizer application amount, millet yield, and economic benefit, the combination of organic and half inorganic fertilizer treatment was the optimal combination of organic and inorganic fertilizers and could be recommended in the similar areas. [ABSTRACT FROM AUTHOR]

There were few reports about neonatal chronic granulomatous disease (CGD). Early diagnosis of CGD is of great value for treatment and prognosis. In this case, the onset of the disease was in neonatal period. In addition to sever infection that with no response to conventional treatments such as antibiotics, multiple nodules were visible in CT images of the lung. Respiratory burst function test of neutrophils showed abnormal, and the expression of gp91 was lost. CGD was highly suspected. CYBB gene analysis showed maternal missense mutation, c. 665 (exon6) A>G (p. H222P). After diagnosis of CGD, the neonate improved with antifungal therapy and waited for transplantation of hemopoietic stem cells. [ABSTRACT FROM AUTHOR]

Tracking students’ knowledge level is one of the most important techniques in intelligent education. Traditional deep knowledge tracking methods mainly focus on Recurrent Neural Network (RNN), but RNN has the problem of gradient disappearance or gradient explosion. And many knowledge tracking methods do not take into account the impact of forgetting behavior on the results of learning. Aiming at the above problems, in order to accurately predict the knowledge level of students, this paper proposes a deep Temporal Convolutional Knowledge Tracking model, which integrates Forgetting factors (F-TCKT). This method introduces three factors that affect students’ forgetting behavior, including the time interval of learning the same knowledge point, the time interval of learning the same knowledge point and the times of learning the same knowledge point. Firstly, the method uses the Fully Connected Network to calculate the vector that represents the degree of forgetting of students, and then the vector is concatenated with the answer record of students. Finally, the method uses the Temporal Convolutional Network (TCN) and Attention Mechanism to predict the probability of students’ next answer. Experimental results show that F-TCKT has better prediction performance than traditional methods [ABSTRACT FROM AUTHOR]

Soil surface water content, which exists at the land air interface, is an important variable to simulate the global hydrological, energy and carbon cycles and their interactions, and is crucial for climate and earth system research. In order to evaluate the accuracy and applicability of the soil moisture products of FY-3B, FY-3C and AMSR2 in Xilingol grassland and different land cover types, authors applied time series correlation (R), root mean square error (RMSE), the average deviation (Bias) and unbiased root mean square error (ubRMSE) were to analyze the reliability on these three grid products. The results showed that: (1) on a daily scale, FY-3B and FY-3C soil moisture products overestimated the land surface water content, while AMSR2 underestimated the soil water content. Each evaluation index showed that the three soil water content products can capture the time change trend of surface soil water content in Xilingol grassland. (2) On a monthly scale, compared with AMSR2, the monthly distribution of FY-3B and FY-3C soil moisture products was more consistent with the measured soil moisture distribution. (3) In the growing season scale, the three satellite soil moisture products reflected the soil moisture status of each grassland subtype. FY-3B and FY-3C soil moisture products had good applicability in areas with high vegetation coverage, AMSR2 had good reliability in areas with low vegetation coverage, and the three products had complementary functions in monitoring soil moisture. FY-3B had the best consistency with the change trend of in-situ soil water content, FY-3B and FY-3C can better reflect the variation of soil moisture in the west and east of the study area, and AMSR2 can well capture the variation of soil moisture in the middle of the study area. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to investigate the risk factors and Logistic regression analysis of interscalenus brachial plexus block affecting heart rate variability. Methods: Selection in May 2021 to March 2022 in our hospital in patients with shoulder joint open surgical treatment of 60 cases as the research object, according to the different anesthesia were randomly divided into experimental group and control group in two groups, one group patients give between scalene muscle under the guidance of ultrasound brachial plexus block, between the control group patients with pure scalenus brachial plexus block. General clinical data of the patients were collected, and heart rate variation index, SpO2, heart rate and mean arterial pressure level before and after block were compared and analyzed. The relationship between risk factors and heart rate variability was also studied. Results: Univariate analysis of interbrachial plexus block affecting heart rate variability showed that risk factors were not related with sex, mean age, BMI, total cholesterol, triglycerides, HDL, LDL, chronic diseases (diabetes, hypertension), smoking and alcohol history (P>0.05), and interanginal brachial plexus block with shorter analgesic maintenance, longer exercise recovery and fewer blocks were more likely to show heart rate variability (P<0.05). After the block, LF, HF, LF/HF, RMSSD, SDNN and PNN50% were significantly lower than those in the control group (P<0.05), how- ever, there was no difference in SpO, heart rate, and mean arterial pressure after the block (P>0.05). The multiple factors affecting the risk factors of HEART rate variability were maintenance time of analgesia (OR-6.224, P 0.001 <0.05), exercise recovery time (OR=9. 556, P=0.002<0.05), number of blocks (OR=7.591, P-0.001 <0.05). Conclusion: The heart rate variability in brachial plexus block was related to the maintenance time of analgesia, the recovery time of exercise and the number of blocks. [ABSTRACT FROM AUTHOR]

Objective To investigate the current status and related factors of clinicians in implementing blood transfusion notification obligations, in order to provide scientific basis for the formulation of measures to improve the quality of implementing the blood transfusion notification obligation.Methods Using the method of prevalence survey, a total of 144 clinicians who had received at least one red blood cell transfusion order from April 1 to June 30,2019 in a tertiary hospital were taken as the research objects, and the revised questionnaire about clinicians′ notification obligation of blood transfusion in British blood transfusion review was used as the survey tool, which mainly included the general situation of the research objects and the implementation of the notification obligations of 15 core blood transfusion items.The SPSS23.0 software was used for statistical analysis.Results 73.61%（106/144） clinicians had the time of implementing the notification of blood transfusion more than five minutes, which could effectively answer 75.00%（108/144） patients′ questions.There were significant differences in the proportion of clinicians′implementation of notification obligations of the blood transfusion items, among which 34.72%（50/144） clinicians had poor implementation of blood transfusion notification obligation（entries score less than 10 points）.The department, age, gender, professional and technical position, and working years had nothing to do with clinicians′ notification obligation of blood transfusion, and the differences were not statistically significant（P>0.05）.However, receiving transfusion training in clinical practice was an independent factor affecting the quality of transfusion notification obligation（OR=4.72,95%CI:1.71-13.02,P=0.003）.When implementing the obligation of notification, clinicians rarely notifed the relatively rare blood transfusion methods or infrequent transfusion risks, and did not fully notify the alternative treatment plan of blood transfusion.More than half of clinicians did not notify the patients that they could not donate blood within one year after transfusion.Conclusion The quality of clinicians′ implementing part of the notification obligation blood transfusion needs to be improved.Targeted systematic training is conducive to improving the quality of clinicians′ implementation of the notification obligation blood transfusion, so that patients can actively participate in blood transfusion decision-making, so as to improve the quality and safety of blood transfusion. [ABSTRACT FROM AUTHOR]

Hepatic venous pressure gradient (HVPG) is the “gold standard” for the diagnosis of portal hypertension, which could be applied in the evaluation of liver cirrhosis. Combined use of HVPG with model for endstage liver disease (MELD) scoring system may more accurately match the donors and recipients undergoing liver transplantation for liver cirrhosis, select the appropriate timing of surgery, and provide guidance for bridging treatment for patients on the waiting list for liver transplantation. Besides, HVPG may also predict clinical prognosis of liver transplant recipients, and provide evidence for early detection and intervention of potential complications. Therefore, the value of HVPG in preoperative evaluation and prognosis prediction of liver transplant recipients was reviewed, aiming to provide guidance for clinical diagnosis and treatment of liver transplant recipients before and after surgery. [ABSTRACT FROM AUTHOR]

Objective To compare the space-time parameters characteristics of different ages of healthy people and elderly patients with knee osteoarthritis by the gait analysis in order to provide a new scientific basis for the clinical diagnosis of early elderly patients with knee osteoarthritis. Methods Twenty patients with bilateral knee osteoarthritis hospitalized in the orthopedic department of this hospital from January to June 2021 were selected,20 healthy elderly subjects and 20 healthy young subjects were collected from the outpatient department. All 60 subjects conducted the gait analytical test. The subjects were divided into three groups:the young control group,elderly control group and elderly knee osteoarthritis group. Results Compared with the elderly control group and young control group,the walking speed and stride frequency in the elderly knee osteoarthritis group were slower,the stride length was shorter,the gait cycle was longer,and the double support phase was increased (P <0. 05); compared with the young control group,the walking speed, stride length,gait period and double support phase in the elderly control group had no significant changes(P > 0. 05). Seeing Table 2. The step length bias had no statistically significant differences among 3 groups (P > 0. 05). Conclusion The gait of elderly patients with knee osteoarthritis is characterized by slow walking speed,low stride frequency,short stride length,long gait cycle and long dual support phase [ABSTRACT FROM AUTHOR]

Objective: To observe the effects of Ginkgo biloba extract (GBE) on p38 mitogen activated protein kinase (MAPK) / nuclear transcription factor-kB（NF-kB) in the lung of rats with chronic obstructive pulmonary disease (COPD). To explore the molecular mechanism of anti-inflammatory effect of GBE on COPD. 90 male Wistar rats were randomly divided into 6 groups: blank control group, COPD model group, GBE high dose group, GBE medium dose group, GBE low dose group and SB203580 (p38MAPK inhibitor) group, with 15 rats in each group. The COPD rat model was established by smoking cigarette smoke and injecting lipopolysaccharide (LPS) into the airway. After modeling, the drugs were administered in groups. The blank control group and COPD model group were given intraperitoneal injection of normal saline, the high, medium and low dose GBE groups (14, 7, 3.5 mg·kg-1·d -1) were given intraperitoneal injection of GBE of different concentrations, and the SB203580 group was given intraperitoneal injection of 5 mg·kg-1·d -1 once a day for 14 days. The pathological changes of rat alveoli and airways were observed by HE staining, the levels of IL-6, IL-8 and IL-10 in rat alveolar lavage fluid (BALF) and serum were measured by enzyme-linked immunosorbent assay (ELISA), The protein and mRNA expression of p38MAPK, NF-kB p65, IkBα in rat lung tissue were detected by Western blot and Real-time qPCR. Compared with the COPD model group, each drug group could inhibit the destruction of alveoli and airway remodeling, and reduce the inflammatory infiltration around alveoli and bronchi; Compared with the blank control group, the contents of IL-6 and IL-8 in BALF and serum of COPD model group increased significantly (P<0.05), the contents of IL-10 decreased significantly (P<0.05), The expression of p38MAPK, NF-kB p65protein and p38MAPK, NF-kB mRNA in lung tissue increased significantly (P<0.05), IkBα Protein and IkBα mRNA expression decreased significantly (P<0.05); Compared with COPD model group, each drug group could significantly reduce the content of IL-8 in BALF and serum and increase the content of IL-10 (P<0.05), while the effect of GBE high dose group and SB203580 group was more obvious; The content of IL-6 in BALF in GBE high dose group and SB203580 group was significantly lower than that in GBE low dose group and COPD model group (P<0.05); Compared with COPD model group, each drug group could significantly reduce the expression of p38MAPK, NF-kB p65 protein, p38MAPK and NF-kB p65mRNA in rat lung tissue (P<0.05), and GBE high and medium dose groups and SB203580 groups could significantly increase IkBα protein and IkBα mRNA expression (P<0. 05). GBE can inhibit inflammatory response and airway remodeling in COPD rats,the mechanism may be related to the regulation of p38MAPK/NF-kB signaling pathway. [ABSTRACT FROM AUTHOR]

By integrating flexible energy facilities such as the high-voltage electrode boiler with coal-fired power units, the flexibility of the coal-fired power platform can be significantly improved, which is the key solution for the challenges of system frequency regulation due to the high penetration of renewable energy in power system. In order to allocate resources properly and improve the flexibility of power system for frequency regulation while ensuring the optimal economy, an optimized economic dispatching approach for highvoltage electrode boiler combined with coal-fired power units to participate in frequency regulation service was proposed. First, the revenue of frequency regulation auxiliary services were analyzed and the revenue model was established. Then, the frequency regulation characteristics of high-voltage electrode boiler and coal-fired power units were elaborated and compared. For dispatching single frequency regulation signal properly, the economy was taken as the optimized goal and different constraints were considered related to the units ramping rate, capacity and signal amplitude, etc. Therefore, an optimized economic dispatching approach were proposed for the highvoltage electrode boiler combined with coal-fired power units to participate in a single frequency regulation. When the frequency regulation service stresses high requirements for the response time, the economic dispatching diagram or dispatching table of the combined units under the single frequency regulation could be formulated by the proposed approach for the practical operation. A calculation case is carried out, and the results show that the proper dispatching frequency regulation signal among different units by the proposed approach can improve the flexibility of units in frequency regulation while ensuring the optimal economy, which provides a reference for joint operation between flexible energy facilities and coal-fired power units. [ABSTRACT FROM AUTHOR]

Nowadays, the original and secondary side high-order topology is more and more used in the wireless transmission of electric energy. To analyze the influence of compensation network parameters on transmission characteristics in the radio energy transmission system with S-LCC topology, firstly, the loop circuit equation was established by using the double coil equivalent circuit model, and the expression of system output power was derived. Secondly, the constant current and constant voltage characteristics of the system were discussed under different parameter conditions, Determined the relationship between the parameters of the compensation network aiming at the optimal output power, analyzed the influence of load resistance, resonant inductance and parasitic resistance on the system output power, and built a double coil wireless power transfer （WPT） physical system. The results show that the relationship between the primary and secondary side resonant capacitance with the optimal output power as the target can be accurately determined. With the increase of load resistance, the output power of the system increases first and then decreases, or increases first and then decreases, then increases and then decreases. The optimal load resistance decreases first and then increases with the decrease of resonant capacitance, decreases first and then increases with the decrease of resonant inductance, and increases with the increase of parasitic resistance. [ABSTRACT FROM AUTHOR]

Objective To investigate the preventive effect of dexrazoxane on cardiotoxicity induced by chemotherapy with epirubicin in breast cancer patients. Methods Ninety patients with breast cancer were randomly divided into the observation group and control group，with 45 patients in each. Patients in both groups were treated with chemotherapy using the epirubicin regimen（The EC-T regimen was that 50 mg/m² epirubicin hydrochloride combined with 500 mg/m² cyclophosphamide were administered intravenously for the first 4 treatment cycles，and 75 mg/m² sequential docetaxel was ad⁃ ministered intravenously for the last 4 treatment cycles；every 21 days was a treatment cycle，for a total of 8 treatment cycles）. Patients in the observation group were given a rapid intravenous dose of dexrazoxane 30 min prior to the EC-T regimen in a 10：1 dose ratio with epirubicin，while patients in the control group were not given dexrazoxane. The levels of aspartate aminotransferase（AST），lactate dehydrogenase（LDH），creatine kinase（CK），creatine kinase isoenzyme（CKMB）and α-hydroxybutyrate dehydrogenase（α-HBDH）were measured by ELISA，and the left ventricular ejection fraction （LVEF）was measured by cardiac ultrasound as well as electrocardiography（ECG）at 1 d before the first，third，fifth and eighth cycles of chemotherapy and at 3 d after chemotherapy in both groups. Results Before and after each treatment cy⁃ cle，cardiac enzyme in the control group was higher than that before treatment（P<0. 05）；after the end of each treatment cycle，cardiac enzyme in the control group was higher than that before the 1st cycle of treatment（P<0. 05），and LVEF was lower than that before chemotherapy in the 1st treatment cycle，but the difference was statistically significant only between the 3rd and 5th treatment cycles（P<0. 05）. Before and after each treatment cycle，except for the reduction of AST index， all other cardiac enzymes in the observation group were higher than those before treatment，but the statistical significance was not significant（P>0. 05）；after the end of each treatment cycle，cardiac enzymes in the observation group were higher than that before the 1st treatment cycle，but the statistical significance was still not significant（P>0. 05）；CK and CKMB in the 3rd treatment cycle and CK in the 5th treatment cycle were lower in the observation group than in the control group before chemotherapy（all P<0. 05）；after chemotherapy，AST，LDH，and CK in the 1st treatment cycle，AST，LDH， CK，and CKMB in the 3rd treatment cycle，AST，α-HBDH，CK，and CKMB in the 5th treatment cycle and AST in the 8th treatment cycle were all lower in the observation group than in the control group（all P<0. 05）；LVEF was lower in the observation group at the end of each treatment cycle than before chemotherapy in the 1st treatment cycle，but none of them had statistically significant difference（P>0. 05）. After chemotherapy，LVEF in the observation group was higher than that in the control group，but the difference was not statistically significant（P>0. 05）；after each treatment cycle，the abnormal rates of cardiac ultrasound and electrocardiogram in the observation group were lower than those in the control group（both P<0. 05）. Conclusions Dexamphetamine has a preventive effect on cardiotoxicity induced by chemothera⁃ py with epirubicin in breast cancer patients. [ABSTRACT FROM AUTHOR]

Objectives: With the development of remote sensing technology, the spatial resolution of remote sensing image keeps improving, which brings both opportunities and challenges for the traditional remote sensing image classification and change detection. In order to improve the reliability of change detection of high resolution remote sensing image, this paper proposes a method of change detection of remote sensing image based on fuzzy comprehensive evaluation. Methods: Firstly, images of two‑phases were overlapped to a new image which can be segmented at multi‑scale. Secondly, a fuzzy comprehensive evaluation model was established for objects in certain scale to calculate membership of pixels in each object, which took the spectral and texture characteristics of two‑phase remote sensing image objects into comprehensive consideration. Finally, the entropy method was used to fuse the fuzzy evaluation membership degree of each pixel in different scales based on information entropy. Results: Taking two groups of high resolution images with different phases as examples, we realized the effective fusion of multi‑scale change detection based on fuzzy logic, which made full use of multi‑level pixel features and consequently improved the overall effect of single scale object‑oriented change detection. Conclusions: The proposed method provides a new idea for the exploration of multi‑scale change detection. [ABSTRACT FROM AUTHOR]

Objective: To investigate the diagnosis and treatment of acute mesenteric ischemia (AMI). Methods: Clinical data of36 patients with AMI were collected and analyzed retrospectively. All patients were treated with MDT, vascular surgery and gastrointestinal surgery. Surgical exploration was performed in all treated cases. Intraoperative fluorescence endoscopy was used to determineintestinal blood supply in 3 patients. The relevant data of abdominal CT, white blood cell count and D-dimer during the diagnosis andtreatment were counted, and the correlation between them and intestinal necrosis was analyzed by SPSS software. Results: The specificfeatures of abdominal CT and the increase of white blood cell count were correlated with intestinal necrosis. Among the treated patients,11 underwent intestinal resection and 8 underwent postoperative rehabilitation therapy in our hospital after surgical treatment in anotherhospital. Postoperative short bowel syndrome occurred in 8 cases. 1 patient was discharged automatically. One death occurred. Postoper-ative intestinal necrosis and intestinal fistula occurred in 1 patient. 3 months later, the patient underwent intestinal fistula resection, andthe postoperative recovery was good. Five patients underwent ostomy for retraction 6 months after operation. Fluorescent endoscopyshowed good results in determining intestinal blood supply and vitality. Conclusion: AMI is a dangerous disease, improving the under-standing of the disease, early diagnosis, early reconstruction of small intestinal blood circulation is the key to improve the efficacy andprognosis. Precision therapy after multidisciplinary discussion can improve the therapeutic effect. Preoperative abdominal CTA has im-portant significance for the diagnosis of AMI and the judgment of intestinal necrosis. Intraoperative use of indoliclegreen fluorescentimaging agent, coupled with fluorescence navigation endoscopy, to determine the extent of intestinal ischemia, it is worth further discus-sion. Double abdominal wall ostomy is conducive to timely detection of intestinal blood supply recovery, and distal ostomy can be usedfor early enteral nutrition, which is worthy of promotion. [ABSTRACT FROM AUTHOR]

BACKGROUND: Human walking is closely related to the changes of the surface electromyography signal of the lower limbs, but the difference of electromyography signal under the heterogeneous gait environment has not been studied in depth. OBJECTIVE: To quantitatively analyze the differences of surface electromyography signals of lower limb muscles in heterogeneous gait environments, and study muscle characteristics of lower limb muscles in different phases in heterogeneous footpaths. METHODS: Twenty healthy male subjects were recruited. The surface electromyography signals of lower limb muscles were collected in the environment of straight road, curve road, ramp, and stairs. A complete gait cycle was divided into four phases: the first dual support phase (0%-12%), the single support phase (13%-48%), and the second dual support phase (49%-60%) and swing phase (61%-100%). The muscle activation timing and difference of surface electromyography signal in different gait environments were studied through one-way analysis of variance. This study was approved by the Research Ethics Committee of Tianjin University of Science & Technology. RESULTS AND CONCLUSION: (1) The study showed that compared with the straight path environment, in the process of making turn, the internal and external rotation muscles (Biceps Femoris, Gastrocnemius Medialis, Tibialis Anterior) of hip joint and ankle joint were used to complete the turn. When going upstairs and uphill, in the stage of single support phase, Vastus Lateralis and Vastus Medialis had the most significant difference (P < 0.05), and muscle strength increased significantly. In the second double support phase, the amplitude of Gastrocnemius Medialis increased significantly. When going downstairs and downhill, in the first dual support phase, Vastus Lateralis and Vastus Medialis were required to exert additional assistance. In the single support phase, the amplitudes of Gastrocnemius Medialis and Semitendinosus were significantly increased. In the second double support phase, the amplitude of Gastrocnemius Medialis decreased significantly. (2) The research results can provide reference value for the research and development of the control system of lower limb rehabilitation walking aid. [ABSTRACT FROM AUTHOR]

Polyester especially polyethylene terephthalate PET is widely used in the textile and apparel industries due to its excellent thermal mechanical and chemical stability. However with increasing consumption the environmental impact of waste polyester fibers has become increasingly pronounced. The problem in biodegrading PET poses technical challenges for the recycling and reuse of waste polyester particularly in terms of efficient depolymerization and the recovery of valuable chemical monomers. Traditional methods for dealing with waste polyester are plagued by low efficiency high costs cumbersome processes and significant environmental pollution. Therefore developing efficient economical and energy-conserving recycling technology for waste polyester is significant for alleviating environmental pressure and achieving resource recycling. This study aims to explore a novel water-solvent thermal technology for the efficient depolymerization of waste polyester and the recovery of terephthalic acid TPA providing a new approach for the highvalue recycling of waste polyester. To efficiently depolymerize waste polyester and recover TPA this study employed water-solvent thermal technology. Waste polyester pellets were treated with an alkaline water-methanol solution under high temperature and pressure followed by the precipitation of TPA using sulfuric acid. The process conditions for the depolymerization of polyester in the alkaline water-methanol solution were optimized. Various analytical techniques including Fourier transform infrared spectroscopy FTIR nuclear magnetic resonance NMR spectroscopy and high-performance liquid chromatography HPLC were used to characterize the chemical properties and purity of the obtained TPA. Additionally the VeriVide DigiEye Roachelab system was used to evaluate the color characteristics of the product. The use of hydro-solvent thermal technology in this study achieved efficient depolymerization of waste polyester and the use of sulfuric acid facilitated the efficient precipitation of TPA. The systematic optimization of depolymerization process parameters provided a basis for further improving the recovery rate and reducing costs. The experimental results showed that when waste polyester granules were treated in a mixture containing 50 g / L of sodium hydroxide and 100 mL/ L methanol at 160 ℃ for 2. 5 hours with a bath ratio of 1︰20 the recovery rate of TPA was calculated to be 94. 9% . The chemical properties of the separated product as indicated by FTIR NMR and HPLC analysis were highly consistent with the TPA standard showing a purity of 90. 53% . However the color difference between commercial TPA and the obtained TPA was 16. 02 according to the VeriVide DigiEye Roachelab system indicating the presence of a small amount of light yellow impurities. This study has significant value in practical application and environmental protection. The optimization of depolymerization conditions provides key reference information for the industrial-scale recycling of waste polyester which can help improve production efficiency and effectively reduce economic costs. Moreover this study proposes a new method for the efficient recovery of TPA from waste polyester which not only reduces the potential environmental impact of waste polyester fibers but also promotes the further development of the circular economy. However there are some limitations in the research process that point the way for future work. For example the TPA product obtained in the experiment shows a significant color difference compared to the standard one indicating that the product contains a certain amount of impurities. This necessitates the exploration of more effective purification technologies in future research to improve the purity and quality of the product. Additionally during the experimental process ethylene glycol EG was observed in the hydrolysate but due to its low content it is difficult to achieve effective separation. This issue also needs to be resolved in future research to fully recover and utilize all valuable components in waste polyester. In summary although this study has made positive progress in the depolymerization of waste polyester and the recovery of TPA further research and improvement are still needed to overcome current challenges and achieve a more efficient and environmentally friendly recycling process. [ABSTRACT FROM AUTHOR]

Objective: To explore the influencing factors of poor intestinal function recovery after operation in children with congenital intestinal atresia, and to construct a predictive model. Methods: 126 children with congenital intestinal atresia who were admitted to Hebei Children's Hospital from March 2020 to March 2023 were selected, intestinal function recovery after operation was counted, children were divided into poor recovery group and good recovery group according to intestinal function recovery after operation. The influencing factors of poor intestinal function recovery after operation in children with congenital intestinal atresia were analyzed by multivariate Logistic regression, and the predictive model was constructed based on Logistic regression. The value of predictive model in distinguishing postoperative poor intestinal function recovery after operation in children with congenital intestinal atresia were analyzed by receiver operating characteristic (ROC) curve. Results: 37 cases had poor intestinal function recovery after operation among 126 children with congenital intestinal atresia, and 89 cases had good recovery. The birth weight and the proportion of enteral nutrition support after operation in poor recovery group were lower than those in good recovery group (P < 0.05) the proportion of Grosfeld pathological type IV, jejunal atresia and premature infants in poor recovery group were higher than those in good recovery group (P < 0.05), the anastomotic diameter in poor recovery group was larger than that in good recovery group (P < 0.05) Multivariate Logistic regression analysis showed that premature infants, jejunal atresia and Grosfeld pathological type IV were risk factors for poor intestinal function recovery after operation (P < 0.05) and enteral nutrition support after operation was a protective factor (P < 0.05) The area under the curve of the predictive model based on Logistic regression to predict poor intestinal function recovery after operation in children with congenital intestinal atresia was 0.852, and the sensitivity and specificity were 83.78% and 85.39% respectively. Hosmer-Lemeshow test P > 0.05 the model fitting effect was good. Conclusion: Premature infants, jejunal atresia and Grosfeld pathological type IV are risk factors for poor intestinal function recovery after operation, and enteral nutrition support after operation is a protective factor. The predictive model base on Logistic regression has a good predictive value for poor intestinal function recovery after operation in children with congenital intestinal atresia. [ABSTRACT FROM AUTHOR]

Traditional edge detection algorithms often suffer from fractured and discontinuous edge lines, while deep learning‑based approaches fail to ensure edge clarity and accuracy, often leading to the loss of edge details. To address these issues, a lightweight edge detection method based on encoder‑decoder structure is proposed. The encoder extracts the edge features of the image, recovers the edge information lost when sampling under the encoder at the decoding end, uses the jump connection method between the codecs to achieve the fusion between low‑level features and high‑level features, and uses the deep supervision module with attention mechanism to further learn multi‑scale and multi‑level edge features to generate fine image edges. The network model is trained on the BSDS500S dataset. Experimental results show that the ODS and OIS of the proposed method reach 0. 808 and 0. 830 respectively, and the frame rate on the GTX 1060 machine reaches 60 frames/second, which exceeds the mainstream edge detection methods based on convolutional neural networks, thus showing its effectiveness. [ABSTRACT FROM AUTHOR]

The deep-sea connector is a signal transmission equipment that ensures the normal operation of marine equipment, and the normal operation of the deep-sea connector largely depends on the sealing performance of the O-ring. Therefore, the problem that the deep-sea high- pressure environment causing O-ring deformation and seriously affecting the sealing performance of O-ring was analyzed. Firstly, based on the theory of structural deformation, the influence of environmental pressure on the deformation of the seal structure and the compression amount of the O-ring was theoretically analyzed. Then a nonlinear dynamic seal model of the O-ring was established by the finite element method, the influence of model grid division on the accuracy of the simulation results was analyzed and studied, and the relationship curve between the structural deformation and environmental pressure was analyzed. Finally, the effects of material properties, environmental pressure and sealing structure size on the performance of dynamic seals were studied and analyzed. The research results show that when the actual value of the grid is 47 745, and the measured value is 21 685, 37 934 and 50 707, the error of the simulation results is less than 2% . The curve trends of the deformation of seal structure and the compression of O-ring are basically consistent with the theoretical values. The change of material properties and environmental pressure will affect the dynamic sealing performance. In the sealing structure size, increasing the groove fillet radius can enhance the dynamic sealing performance of the O-ring. The research results can provide reference and theoretical support for the design and optimization of O-ring under deep-sea high-pressure environment. [ABSTRACT FROM AUTHOR]

Objective Increasing the fracture conductivity of tight sandstone and thus improve the fracturing effect to increase and stabilize the production. Methods In order to investigate the adaptability of sand-added fracturing technology in the reforming of the Shaximiao tight sandstone reservoir in central Sichuan, the influence of proppant type and particle size, sand concentration and closure pressure, and fracturing fluid type on the fracture conductivity was investigated using the API fracture conductivity tester. Results The results showed that the proppant fracture conductivity of ceramic grains with the same grain size was greater than that of coated quartz sand and quartz sand, but the conductivity of coated quartz sand was least affected by closed pressure. The decrease of proppant conductivity of different combinations of grain sizes (1∶4,1∶1 and 4∶1) of 0.106-0.212 mm quartz sand and 0.212-0.425 mm coated quartz sand was more moderate compared with that of single proppant. The fracture conductivity of proppant combination 4∶1 was higher than that of the 1∶4 and 1∶1 combinations and approached that of the single proppant for 0.212-0.425 mm coated quartz sand at high closed pressure conditions. The increase in sand laydown concentration resulted in a significant increase in the infiltration capacity at low closed pressure. At high closed pressure, this effect gradually decreases. With 4∶1 proppant combination of 0.106-0.212 mm quartz sand and 0.212-0.425 mm coated quartz sand, when the closing pressure was 41.4 MPa, the flow conductivity tested with breaker fluid (prepared from fracturing fluid prepared with clear water) was 25.43% lower than that of 3 wt% KCl, and the flow conductivity tested with breaker fluid (prepared from fracturing fluid prepared from backflow fluid) was 58.34% lower than that of 3 wt% KCl. Conclusion The experimental results guided the selection of construction parameters such as fracturing proppant type, grain size, and sand spreading concentration in the field. They were applied in the field of tight gas reservoirs of the Shaximiao Formation in the central Sichuan Basin, obtaining better fracturing and production enhancement results. [ABSTRACT FROM AUTHOR]

In order to improve the operating performance of the deep-ultraviolet laser diodes（DUV-LD）, three structures of n-doped, p-doped and n-p-doped with active region quantum barrier are proposed in this paper. Using Crosslight software, the original structure and the three active region doped structures are simulated and studied to compare the P-I characteristic curves, V-I characteristic curves, carrier concentrations, radiation recombination rates and energy band diagrams of the four structures. The simulation results show that the performance of n-p doped structure is better, i.e., its threshold voltage and threshold current of the n-p doped structure decrease to 4.40 V and 23.8 mA, respectively; radiation recombination rate reaches 1.64cm-3/s; The electro-optical conversion efficiency reaches 42.1% at the same injection current, which increases 3.9% compared with the original structure and greatly improves the operating performance of the DUV-LD. [ABSTRACT FROM AUTHOR]

Ningmai 36 (test name Ningmai 7342) was bred through sexual hybridization and the modified bulk selection method with Yangmai 20 as a female parent and Ningmai 14 as a male parent,and it developed by Institute of Food Crops,Jiangsu Academy of Agricultural Sciences. The average yield of Ningmai 36 increased by 4. 81% and 5. 99%,respectively,compared with the check variety Yangmai 20 in the regional tests and production tests of wheat varieties in Jiangsu Academy of Agricultural Sciences Huainan wheat consortium consisted of institutions and enterprises during 2019-2022. The effective number of spikes was 538. 5×10 4 / hm 2,kernels per spike was 40. 8 and thousand-grain weight was 42. 2 g. It had moderate resistance to wheat scab with weak-gluten quality. Correlation analysis showed that the effective spike number had a very significant positive correlation with the yield. The path analysis showed that the effective spike number contributed the most to the yield, grain number per spike was the second,and thousand-grain weight was relatively small. The high yield cultivation techniques of Ningmai 36 should be to focus on the number of effective spike and give consideration to increase the grain number per spike and thousand-grain weight. [ABSTRACT FROM AUTHOR]

[Objective] To provide reference for promoting the health and stability of Mount Qipan Reservoir ecosystem. [Method] Based on the survey data of the ecological environment and fishery resources of Mount Qipan Reservoir in 2021, a material balance Ecopath model of Mount Qipan Reservoir ecological system was constructed by Ecopath with Ecosim software. The food web structure, transfer efficiency, nutrient interaction relationship and overall system characteristics of the ecosystem were analyzed.[Result] The results showed that the effective nutrient levels of 22 functional groups in the food web of Chipanshan Reservoir ranged from 1.000 to 3.419, and the functional group with higher nutritional level is carnivorous fish. There are mainly 5 levels of energy flow, in which the average transfer efficiency from primary producers is 3.13% and the average transfer efficiency from debris is 3.39%.The total production of the system is 36 268.078 t/（km²·a）,and the total flow is 86 057.620 t/（km²·a）,the connection index and systematic omnivorous coefficient are 0.205 and 0.142, respectively. Total primary production/total respiration and total biomass/total turnover are 2.106 and 0.003,respectively. [Conclusion] The nutritional structure and system development of the reservoir are analyzed in this paper, it will provide theoretical basis for the sustainable utilization and scientific management of the ecological environment of the reservoir. [ABSTRACT FROM AUTHOR]

Tumor is a neoplasm due to abnormal cell proliferation under various tumorigenic factors. According to its biological characteristics and the degree of harm to the body, it is generally divided into benign and malignant types. In China, malignant tumor is one of the main causes of patient deaths, and its morbidity and mortality are constantly rising, which has become a very serious public health problem. Tumor vaccine is an immune intervention strategy that uses tumor-specific antigens or tumor-associated antigens to stimulate specific immune response to kill tumor cells. It is one of the hot topics in tumor immunotherapy research. In the past few decades, with the continuous development of genetic technology, the development of tumor vaccines has made great progress. Tumor vaccines have shown great potentials in preclinical studies and related trials on solid tumors andare expected to further improve the overall survival of patients. Tumor vaccine can be divided into preventive and therapeutic types. According to the underlying mechanism, tumor vaccines can be divided into cell vaccines, protein/synthetic peptide vaccines, nucleic acid vaccines, etc. At present, immuno-checkpoint inhibitors, adoptive cell therapy and nanomaterial-based immunotherapy have shown good efficacy in the treatment of cancer, and the combination of tumor vaccines and other immunotherapies may become the future direction in the field of cancer therapy. However, the development of tumor vaccines has experienced many difficulties. It also has accumulated valuable clinical research and development experiences. In this review, we mainly discuss the origin, type, mechanism, advantages and limitations of different types of therapeutic tumor vaccines, in order to provide a reference for the research in the future. [ABSTRACT FROM AUTHOR]

The Carboniferous-Permian Taiyuan-Shanxi Formation is widely developed in the Ningwu Basin, but the exploration degree of its coal measure shale gas is still low. Based on SEM observations, total organic carbon content (TOC) test, rock-eval test, and a series of well logging data from several drilling wells in the South Ningwu Block, distribution characteristics, organic matter type and microcharacteristic, and total organic carbon content prediction of coal measure shale were discussed. The results show these as follow. The continuous thickness of shale in the Taiyuan Formation-Shanxi Formation in the south of Ningwu Block is more than 30 m, and the average of TOC is 2. 6%, the kerogen type is mainly Type III, the macerals are mainly composed of inertinite and vitrinite. Organic matter pores are mainly developed in solid bitumen, and can be seen sporadically in vitrinite and inertinite. Three TOC prediction models based on improved ΔlogR method, multiple linear regression method, and BP neural network were constructed. By comparison, the model based on BP neural network has high prediction accuracy since it is good at dealing with the complex nonlinear relationship between well logging data and TOC. The established BP neural network model is used to predict the TOC of the target interval in South Ningwu Block, and the results showed that the coal measure shale in the northeast of the study area has high OM abundance (TOC > 3% ) and has good exploration prospects. [ABSTRACT FROM AUTHOR]

As a hard-to-mine ore body, moderately thin ore bodies have always been a research focus in both domestic and international mines. Based on the moderately inclined thin ore body of Zaozigou Gold Mine, experimental research on the longwall continuous mining method was conducted. This method has advantages such as continuous mining, high mining recovery rate, and good safety, and is widely applied in horizontal, near-horizontal, and moderately inclined ore bodies. Compared with the original room-and-pillar mining method in Zaozigou Gold Mine, the longwall continuous mining method has significant advantages in terms of mining ratio (per 10 thousand tons), extraction cycle, and mining recovery rate, making it an efficient mining process that can be promoted and applied in the non-coal mining industry. [ABSTRACT FROM AUTHOR]

The data obtained from the breeding environment has defects such as blurring and occlusion, rendering poor detection of the farmed fish. To solve the above problem,the farmed fish detection model ESBYOLO( ECBAM-SPPF-BiFPN-YOLO),based on a non-channel-downscaling attention mechanism(ECBAM) and improved YOLOv5,is proposed. ECBAM is adopted to obtain more detailed features. To alleviate the slowdown of detection speed caused by adopting ECBAM,SPPF is used to replace SPP to reduce model computation,decrease model detection time,and improve detection speed. BiFPN is used to perform weighted feature fusion to enhance feature fusion by increasing the proportion of functional features and reducing feature loss. To verify the effectiveness of the proposed modified module for YOLOv5,ablation tests were designed. The test results show that the average precision of ESB-YOLO is improved by 2. 40% compared with YOLOv5 while maintaining a similar detection speed. To demonstrate the competitiveness of ESB-YOLO,comparison tests were designed. Compared with advanced underwater object detection models such as FERNet,SWIPENet,and SK-YOLOv5,the average precision of ESB-YOLO is 3. 10%,3. 90%,and 0. 70% higher,respectively. The study shows that the proposed model is more effective and capable of farmed fish detection. [ABSTRACT FROM AUTHOR]

Object detection algorithms are widely used in unmanned driving, robot vision, industrial automation and other fields, and have important research value. Among many target detection algorithm, YOLOv5s has the advantages of fast detection speed and small parameter scale, but also has the problem of low detection accuracy. Aiming at the problem that the YOLOv5s standard convolution module has weak feature extraction capabilities and feature redundancy, two convolution modules based on multi-scale feature extraction are proposed. Firstly, a multi-receptive field convolution module is proposed to improve the feature extraction ability of the model. It obtains semantic information of different granularities through convolution kernels of multiple sizes. Secondly, a feature map convolution module is proposed to improve the diversity of feature maps. It uses a small number of standard convolution kernels and grouped convolutions to reduce the mutual constraints between feature channels. Finally, some standard convolution modules of YOLOv5s are replaced by multi-receptive field convolution module and feature map convolution module, and the improved algorithm in this paper is obtained. The experimental results on Pascal VOC data set show that the improved algorithm not only improves the detection accuracy, but also maintains the real-time detection ability of YOLOv5s. mAP＿0.5 and mAP＿0.5:0.95 are increased by 2.4% and 4.9% respectively, which proved the effectiveness of the improved algorithm. It is further verified on DOTA data set that the improved algorithm has good generalization ability in different environments. [ABSTRACT FROM AUTHOR]

Physiological signals such as electroencephalogram (EEG) have become popular research objects in the field of emotion recognition due to their unique objectivity. To solve the problem that the single modal feature is not complete enough. this paper proposes a multimo dal EEG based emotion recognition method by using attention bidirectional Gated Recurrent Unit (GRU) neural network, which is represented by Mul-AT-BIGRU. At first, the attention mechanism is used to fuse three different features of two modalities including EEG signals and eye movement data to achieve global interaction between different modal features. Then, the obtained multimodal fused features are input into the Mul-AT-BIGRU network for deep emotional feature extraction and classification. The Mul-AT-BIGRU model makes the learned deep emotion-related features more obvious and discriminative by mining the complementary relationships between different modal data, thus improves the emotion recognition performance. The comparative experiments are carried out on the multimodal dataset SEED-IV. The experimental results show that the average intra-subject emotion classification accuracy of the proposed method reaches 95. 19%, which is 20. 22%. 20. 04% and 17. 5% higher than that on three single-modal features, respectively. The average inter-subject classification accuracy of the proposed method reaches 62. 77%, which also outperforms other available similar comparative methods, verifying the effectiveness and generalization of the proposed method for multimodal EEG based emotion recognition. [ABSTRACT FROM AUTHOR]