Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction

Accurate prediction of a stock price is a challenging task due to the complexity, chaos, and non-linearity nature of financial systems. In this brief, we proposed a multi-indicator feature selection method for stock price prediction based on Pearson correlation coefficient (PCC) and Broad Learning System (BLS), named the PCC-BLS framework. Firstly, PCC was used to select the input features from 35 features, including original stock price, technical indicators, and financial indicators. Secondly, these screened input features were used for rapid information feature extraction and training a BLS. Four stocks recorded on the Shanghai Stock Exchange or Shenzhen Stock Exchange were adopted to evaluate the performance of the proposed method. In addition, we compared the forecasting results with ten machine learning methods, including Support Vector Regression (SVR), Adaptive Boosting (Adaboost), Bootstrap aggregating (Bagging), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Multi-layer Perceptron (MLP), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Broad Learning System (BLS). Among all algorithms used in this brief, the proposed model showed the best performance with the highest model fitting ability.acceptedVersio

Bibliometrics analysis on the research status and trends of adult-onset Still’s disease: 1921-2021

ObjectivesThe aim of this research is to discuss the research status, hotspots, frontiers and development trends in the field of adult-onset Still’s disease (AOSD) based on bibliometrics and visual analysis by CiteSpace software.MethodsThe relevant research articles on AOSD from 1921 to 2021 were retrieved from the Scopus database. CiteSpace software was used to form a visual knowledge map and conduct analysis for the countries/regions, journals, authors, keywords, clusters, research hotspots and frontiers of the included articles.ResultsThere were 2,373 articles included, and the number of articles published during 1921-2021 is increasing. The country with the highest number of articles published was Japan (355, 14.96%), followed by the United States (329, 13.86%) and France (215, 9.06%). The author with the highest number of publications is Ansell, Barbara M. (30, 1.26%), and the author with the highest co-citation frequency is Yamaguchi, Masaya (703). Clinical Rheumatology is the journal with the highest publication frequency. The top five cluster groups were “joint”, “differential diagnosis”, “prednisolone”, “methotrexate” and “macrophage activation syndrome”. The diagnosis, treatment and pathogenesis of AOSD form the main research fields, and prognosis and complications are the research hotspots and trends.ConclusionsThe global research field in AOSD has expanded in the past 100 years. The complications and new pathogenesis of AOSD are hotspots in this field and need further study in the future

Diagnostic value of serum origin recognition complex protein 1 in the progression of HBVrelated liver fibrosis

Objective To explore the diagnostic value and significance of human serum origin recognition complex protein 1 (ORC1) in the degree of hepatitis B (HBV)-related liver fibrosis. Methods A total of 269 patients with HBV infection admitted to the Department of Infectious Diseases of the First Affiliated Hospital of Guangxi Medical University from November 2017 to October 2023 were enrolled in the long-term follow-up cohort. The transient elastography system FibroScan was used to detect liver stiffness value (LSM). According to the LSM value, they were divided into non-liver fibrosis group (n=69 cases), mild liver fibrosis group (n=107 cases), advanced liver fibrosis group (n=43 cases) and cirrhosis group (n=50 cases). The level of ORC1 in serum was detected by enzyme-linked immunosorbent assay (ELISA). Multiple linear regression was used to analyze the related factors affecting serum ORC1 level in chronic HBV patients, multi-classification logistic regression was used to analyze the factors affecting the degree of liver fibrosis, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of serum ORC1 in liver cirrhosis. Results The serum ORC1 level in the advanced liver fibrosis group was higher than that in the non-liver fibrosis group (P 0.05). The level of serum ORC1 was positively correlated with LSM level (P < 0.05). The result of logistic regression analysis showed that the increasing age, increased aspartate aminotransferase (AST) and serum ORC1 levels were risk factors for the progression of liver fibrosis (P < 0 05). The area under the ROC curve of serum ORC1 in the diagnosis of liver cirrhosis was 0.644 (P < 0.05), the cutoff value was 1, 000.46 ng/L and the sensitivity, specificity, positive predictive value, negative predictive value, and consistency rate were 56.0%, 76.3%, 35.0%, 88.4%, and 72.5%, respectively. Conclusion The level of serum ORC1 in patients with chronic HBV infection is related to the progression of liver fibrosis, and its elevated level increases the risk of progression of liver fibrosis. It is expected to become one of the potential serological markers for monitoring dynamically and diagnosing helpfully of HBV-related progression of liver fibrosis and liver cirrhosis

A Myb Transcription Factor of Phytophthora sojae, Regulated by MAP Kinase PsSAK1, Is Required for Zoospore Development

PsSAK1, a mitogen-activated protein (MAP) kinase from Phytophthora sojae, plays an important role in host infection and zoospore viability. However, the downstream mechanism of PsSAK1 remains unclear. In this study, the 3'-tag digital gene expression (DGE) profiling method was applied to sequence the global transcriptional sequence of PsSAK1-silenced mutants during the cysts stage and 1.5 h after inoculation onto susceptible soybean leaf tissues. Compared with the gene expression levels of the recipient P. sojae strain, several candidates of Myb family were differentially expressed (up or down) in response to the loss of PsSAK1, including of a R2R3-type Myb transcription factor, PsMYB1. qRT-PCR indicated that the transcriptional level of PsMYB1 decreased due to PsSAK1 silencing. The transcriptional level of PsMYB1 increased during sporulating hyphae, in germinated cysts, and early infection. Silencing of PsMYB1 results in three phenotypes: a) no cleavage of the cytoplasm into uninucleate zoospores or release of normal zoospores, b) direct germination of sporangia, and c) afunction in zoospore-mediated plant infection. Our data indicate that the PsMYB1 transcription factor functions downstream of MAP kinase PsSAK1 and is required for zoospore development of P. sojae

Alterations of hemostatic parameters in the early development of allogeneic hematopoietic stem cell transplantation-related complications

Thrombotic events are common and potentially fatal complications in patients receiving hematopoietic stem cell transplantation (HSCT). Early diagnosis is crucial but remains controversial. In this study, we investigated the early alterations of hemostatic parameters in allogeneic HSCT recipients and determined their potential diagnostic values in transplantation-related thrombotic complications and other post-HSCT events. Results from 107 patients with allogeneic HSCT showed higher levels of plasma plasminogen activator inhibitor-1 (PAI-1), fibrinogen, and tissue-plasminogen activator (t-PA) and a lower level of plasma protein C after transplantation. No change was found for prothrombin time, antithrombin III, d-dimer, and activated partial thromboplastin time following HSCT. Transplantation-related complications (TRCs) in HSCT patients were defined as thrombotic (n = 8), acute graft-versus-host disease (aGVHD, n = 45), and infectious (n = 38). All patients with TRCs, especially the patients with thrombotic complications, presented significant increases in the mean and maximum levels of PAI-1 during the observation period. Similarly, a high maximum t-PA level was found in the thrombotic group. In contrast, apparent lower levels of mean and minimum protein C were observed in the TRC patients, especially in the aGVHD group. Therefore, the hemostatic imbalance in the early phase of HSCT, reflecting prothrombotic state and endothelial injury due to the conditioning therapy or TRCs, might be useful in the differential diagnosis of the thrombotic complication from other TRCs

Identification of the Nut Rot Pathogen Affecting Castanopsis&nbsp;carlesii Based on Morphological and Phylogenetic Analyses

In recent years, Castanopsis carlesii, a keystone species in southern China&rsquo;s forest ecosystems with high ecological and economic importance, has faced growing challenges from severe nut rot diseases. Gnomoniopsis (Gnomoniaceae, Diaporthales, Sordariomycetes, Ascomycota) represents a significant fungal genus that causes leaf spots, branch cankers, and fruit rot diseases. In this study, rotten nuts of C.&nbsp;carlesii were collected from Fujian Province, and fungal isolates were obtained using the tissue isolation method. Morphological characterization and molecular phylogenetic analysis, based on the combined sequences of the internal transcribed spacer region of rDNA (ITS), the translation elongation factor 1-alpha (tef1) gene, and the partial beta-tubulin (tub2) gene were used to identify these isolates. As a result, new isolates from diseased nuts of C. carlesii formed a distinct clade with Gnomoniopsis, and morphologically differentiated from the other species; hence, G. flava sp. nov. is proposed herein. Furthermore, pathogenicity tests involving three isolates of G. flava were conducted on healthy nuts of C. carlesii, confirming its role as the causal agent of this new plant disease. This study not only advances our understanding of species diversity within Gnomoniopsis but also lays the groundwork for developing control strategies for C.&nbsp;carlesii nut rot disease