bluuebunny/crossref_metadata_2025 huggingface dataset:
Epigenetic evidence for distinct contributions of resident and acquired myonuclei during long-term exercise adaptation using timed in vivo myonuclear labeling
Authors: Murach Kevin A. , Dungan Cory M. , von Walden Ferdinand , Wen Yuan
Published: November 2021

Muscle fibers are syncytial postmitotic cells that can acquire exogenous nuclei from resident muscle stem cells, called satellite cells. Myonuclei are added to muscle fibers by satellite cells during conditions such as load-induced hypertrophy. It is difficult to dissect the molecular contributions of resident versus satellite cell-derived myonuclei during adaptation due to the complexity of labeling distinct nuclear populations in multinuclear cells without label transference between nuclei. To sidestep this barrier, we used a genetic mouse model where myonuclear DNA can be specifically and stably labeled via nonconstitutive H2B-GFP at any point in the lifespan. Resident myonuclei (Mn) were GFP-tagged in vivo before 8 wk of progressive weighted wheel running (PoWeR) in adult mice (>4-mo-old). Resident + satellite cell-derived myonuclei (Mn+SC Mn) were labeled at the end of PoWeR in a separate cohort. Following myonuclear isolation, promoter DNA methylation profiles acquired with low-input reduced representation bisulfite sequencing (RRBS) were compared to deduce epigenetic contributions of satellite cell-derived myonuclei during adaptation. Resident myonuclear DNA has hypomethylated promoters in genes related to protein turnover, whereas the addition of satellite cell-derived myonuclei shifts myonuclear methylation profiles to favor transcription factor regulation and cell-cell signaling. By comparing myonucleus-specific methylation profiling to previously published single-nucleus transcriptional analysis in the absence (Mn) versus the presence of satellite cells (Mn+SC Mn) with PoWeR, we provide evidence that satellite cell-derived myonuclei may preferentially supply specific ribosomal proteins to growing myofibers and retain an epigenetic “memory” of prior stem cell identity. These data offer insights on distinct epigenetic myonuclear characteristics and contributions during adult muscle growth.
Impact of inspiratory threshold loading on brain activity and cognitive performances in healthy humans
Authors: Taytard Jessica , Gand Camille , Niérat Marie-Cécile , Barthes Romain , Lavault Sophie , Adler Dan , Morélot-Panzini Capucine , Gatignol Peggy , Campion Sebastien , Serresse Laure , Wattiez Nicolas , Straus Christian , Similowski Thomas
Published: November 2021

To our knowledge, this is the first study exploring the interferences between inspiratory loading and cognition in healthy subjects with the concomitant use of neuropsychological tests and electroencephalographic recordings. Inspiratory loading was associated with dyspnea, respiratory-related changes in brain activation, and a pattern of deterioration of neuropsychological tests suggestive of attentional disruption. Inspiratory loading is therefore likely to impact cognitive performances through both motor-cognitive interference (engagement of cortical networks) and sensory-cognitive interference (dyspnea-related shift in attentional focus).
Linking stages of non-rapid eye movement sleep to the spectral EEG markers of the drives for sleep and wake
Authors: Dorokhov Vladimir B. , Taranov Anton O. , Sakharov Dmitry S. , Gruzdeva Svetlana S. , Tkachenko Olga N. , Sveshnikov Dmitry S. , Bakaeva Zarina B. , Putilov Arcady A.
Published: November 2021

In the present nap study, two dimensionality of the structure of individual differences in sleep stages was revealed. These results also suggested that individual variation in the sleep and wake drives associated with the first and second principal components of the EEG spectrum might underlie this structure. It seemed that each stage might be related to a certain, stage-specific combination of wake-sleep promoting/inhibiting influences associated with these drives for sleep and wake.
Differentiation of Organic Cocoa Beans and Conventional Ones by Using Handheld NIR Spectroscopy and Multivariate Classification Techniques
Authors: Anyidoho Elliot K. , Teye Ernest , Agbemafle Robert
Published: November 2021

The global market for organic cocoa beans continues to show sturdy growth. A low-cost handheld NIR spectrometer (900-1700 nm) combined with multivariate classification algorithms was used for rapid differentiation analysis of organic cocoa beans’ integrity. In this research, organic and conventionally cultivated cocoa beans were collected from different locations in Ghana and scanned nondestructively with a handheld spectrometer. Different preprocessing treatments were employed. Principal component analysis (PCA) and classification analysis, RF (random forest), KNN (K-nearest neighbours), LDA (linear discriminant analysis), and PLS-DA (partial least squares-discriminant analysis) were performed comparatively to build classification models. The performance of the models was evaluated by accuracy, specificity, sensitivity, and efficiency. Second derivative preprocessing together with PLS-DA algorithm was superior to the rest of the algorithms with a classification accuracy of 100.00% in both the calibration set and prediction set. Second derivative algorithm was found to be the best preprocessing tool. The identification rates for the calibration set and prediction set were 96.15% and 98.08%, respectively, for RF, 91.35% and 92.31% for KNN, and 90.38% and 98.08% for LDA. Generally, the results showed that a handheld NIR spectrometer coupled with an appropriate multivariate algorithm could be used in situ for the differentiation of organic cocoa beans from conventional ones to ensure food integrity along the cocoa bean value chain.
FA‐YOLO: An Improved YOLO Model for Infrared Occlusion Object Detection under Confusing Background
Authors: Du Shuangjiang , Zhang Baofu , Zhang Pin , Xiang Peng , Xue Hong
Published: November 2021

Infrared target detection is a popular applied field in object detection as well as a challenge. This paper proposes the focus and attention mechanism‐based YOLO (FA‐YOLO), which is an improved method to detect the infrared occluded vehicles in the complex background of remote sensing images. Firstly, we use GAN to create infrared images from the visible datasets to make sufficient datasets for training as well as using transfer learning. Then, to mitigate the impact of the useless and complex background information, we propose the negative sample focusing mechanism to focus on the confusing negative sample training to depress the false positives and increase the detection precision. Finally, to enhance the features of the infrared small targets, we add the dilated convolutional block attention module (dilated CBAM) to the CSPdarknet53 in the YOLOv4 backbone. To verify the superiority of our model, we carefully select 318 infrared occluded vehicle images from the VIVID‐infrared dataset for testing. The detection accuracy‐mAP improves from 79.24% to 92.95%, and the F1 score improves from 77.92% to 88.13%, which demonstrates a significant improvement in infrared small occluded vehicle detection.
A Novel Model for Anomaly Detection in Network Traffic Based on Support Vector Machine and Clustering
Authors: Ma Qian , Sun Cong , Cui Baojiang
Published: November 2021

New vulnerabilities and ever-evolving network attacks pose great threats to today’s cyberspace security. Anomaly detection in network traffic is a promising and effective technique to enhance network security. In addition to traditional statistical analysis and rule-based detection techniques, machine learning models are introduced for intelligent detection of abnormal traffic data. In this paper, a novel model named SVM-C is proposed for the anomaly detection in network traffic. The URLs in the network traffic log are transformed into feature vectors via statistical laws and linear projection. The obtained feature vectors are fed into a support vector machine (SVM) classifier and classified as normal or abnormal. Based on the idea of SVM and clustering, we construct an optimization model to train the parameters of the feature extraction method and traffic classifier. Numerical tests indicate that the proposed model outperforms the state of the arts on all the tested datasets.
Application of Data Mining Combined with Fuzzy Multicriteria Decision-Making in Credit Risk Assessment from Legal Service Companies
Authors: Hu Jianmiao , Chen Chong , Zhu Kongze
Published: November 2021

The purpose is to avert the systematic financial risks from the Internet financial bubble and improve the efficiency of legal service companies’ credit risk assessment ability. Firstly, this study analyzes the commonly used classification model, Support Vector Machine (SVM), and linear regression model, Logistic model, and then puts forward the integrated SVM-Logistic + Fuzzy Multicriteria Decision-Making (FMCDM) to evaluate and analyze the credit risk level of listed companies. In the proposed integrated model, the SVM model classifies the data sample from listed companies, and the Logistic model is used for regression analysis on the credit risk assessment. Based on the credit risk indexes and weight uncertain factors of sample companies, FMCDM based on fuzzy set is applied to obtain the evaluation indexes. Then, the Analytic Hierarchy Process (AHP) is used to obtain the weight of key indexes. Finally, the fit analysis is carried out according to the existing risk status of the sample company and the risk status results of the proposed integrated model. The results show that the integrated SVM-Logistic model is complementary and has high intensive evaluation. According to the fitness value obtained by FMCDM, the company's credit risk status can be accurately evaluated, and the intermediate threshold of corporate credit default risk measurement is 0.56152; if Fit is lower than the threshold, the company’s credit is low, and if Fit is higher than the threshold, the company’s credit is high. Therefore, the data mining technology based on integrated SVM-Logistic model + FMCDM has high precision and feasible application in the credit risk assessment from legal service companies. This study creates a new method model for legal service companies in the field of corporate credit risk assessment and can provide references and ideas for corporate credit risk assessment.
Scene Text Recognition Based on Bidirectional LSTM and Deep Neural Network
Authors: Kantipudi MVV Prasad , Kumar Sandeep , Kumar Jha Ashish
Published: November 2021

Deep learning is a subfield of artificial intelligence that allows the computer to adopt and learn some new rules. Deep learning algorithms can identify images, objects, observations, texts, and other structures. In recent years, scene text recognition has inspired many researchers from the computer vision community, and still, it needs improvement because of the poor performance of existing scene recognition algorithms. This research paper proposed a novel approach for scene text recognition that integrates bidirectional LSTM and deep convolution neural networks. In the proposed method, first, the contour of the image is identified and then it is fed into the CNN. CNN is used to generate the ordered sequence of the features from the contoured image. The sequence of features is now coded using the Bi‐LSTM. Bi‐LSTM is a handy tool for extracting the features from the sequence of words. Hence, this paper combines the two powerful mechanisms for extracting the features from the image, and contour‐based input image makes the recognition process faster, which makes this technique better compared to existing methods. The results of the proposed methodology are evaluated on MSRATD 50 dataset, SVHN dataset, vehicle number plate dataset, SVT dataset, and random datasets, and the accuracy is 95.22%, 92.25%, 96.69%, 94.58%, and 98.12%, respectively. According to quantitative and qualitative analysis, this approach is more promising in terms of accuracy and precision rate.
Gastric Signet-Ring Cell Carcinoma That Presented as an Elevated Lesion due to Fibromuscular Obliteration in the Lamina Propria
Authors: Misumi Yoshitsugu , Ichihara Shin , Nonaka Kouichi , Onizuka Hiromi , Nagashima Yoji
Published: November 2021

The widespread use of Helicobacter pylori eradication therapy in recent years has reduced the H. pylori infection rate, indicating that gastric cancer cases diagnosed in the future may be H. pylori-naïve. The typical endoscopic presentation of signet-ring cell carcinoma, which accounts for the majority of H. pylori-naïve gastric cancer cases, is a discolored, flat, or depressed lesion; it is rarely presented as an elevated lesion. In this study, we treated a patient with elevated signet-ring cell carcinoma in an H. pylori-naïve stomach. Histopathological testing after endoscopic submucosal dissection showed proliferation of fibromuscular tissue in the tumor, which may have caused the formation of the elevated lesion.
Development of a 15‐Gene Signature Model as a Prognostic Tool in Sex Hormone‐Dependent Cancers
Authors: Xia Zhi , Xiao Jian , Liu Aibin , Chen Qiong
Published: November 2021

Sex hormone dependence is associated with tumor progression and prognosis. Here, we explored the molecular basis of luminal A‐like phenotype in sex hormone‐dependent cancers. RNA‐sequencing data from 8 cancer types were obtained from The Cancer Genome Atlas (TCGA). We investigated the enrichment function of differentially expressed genes (DEGs) in luminal A breast cancer (BRCA). Weighted coexpression network analysis (WGCNA) was used to identify gene modules associated with the luminal A‐like phenotype, and we calculated the module’s preservation in 8 cancer types. Module hub genes screened using least absolute shrinkage and selection operator (LASSO) were used to construct a gene signature model for the luminal A‐like phenotype, and we assessed the model’s relationship with prognosis, enriched pathways, and immune infiltration using bioinformatics approaches. Compared to other BRCA subtypes, the enrichment functions of upregulated genes in luminal A BRCA were related to hormone biological processes and receptor activity, and the downregulated genes were associated with the cell cycle and nuclear division. A gene module significantly associated with luminal A BRCA was shared by uterine corpus endometrial carcinoma (UCEC), leading to a similar phenotype. Fifteen hub genes were used to construct a gene signature model for the assessment of the luminal A‐like phenotype, and the corrected C‐statistics and Brier scores were 0.986 and 0.023, respectively. Calibration plots showed good performance, and decision curve analysis indicated a high net benefit of the model. The 15‐gene signature model was associated with better overall survival in BRCA and UCEC and was characterized by downregulation of DNA replication, cell cycle and activated CD4 T cells. In conclusion, our study elucidated that BRCA and UCEC share a similar sex hormone‐dependent phenotype and constructed a 15‐gene signature model for use as a prognostic tool to quantify the probability of the phenotype.
Accurate Measurement of Strain in Noncontact Surface Deformation Using Subset-Based Digital Image Correlation
Authors: Agnes Shifani S. , Godwin Premi M. S.
Published: November 2021

The measurement of strain using some contact techniques has some drawbacks like less accuracy and it takes larger computation time for finding each location of subpixels. Thus, a faster noncontact Digital Image Correlation (DIC) mechanism is utilized along with the traditional techniques to measure the strain. The Newton-Raphson (NR) technique is considered to be an accepted mechanism for accurate tracking of different intensity relocation. Generally, the issue regarding the DIC mechanism is its computational cost. In this paper, an interpolation technique is utilized to accomplish a high precision rate and faster image correlation; thereby it reduces the computation time required for finding the matched pixel and viably handles the rehashing relationship process. Hence, the proposed mechanism provides better efficiency along with a reduced number of iterations required for finding the identity. The number of iterations can be reduced using the Sum of Square of Subset Intensity Gradients (SSSIG) method. The evaluation of the projected scheme is tested with different images through various parameters. Finally, the outcome indicates that the projected mechanism takes only a few milliseconds to match the best matching location, whereas the prevailing techniques require 16 seconds for the same operation with the same step size. This demonstrates the effectiveness of the proposed scheme.
Impact of Different Oxygen Supply Methods on the Healing of Corneal Epithelial Wound and the Level of Acetylcholine
Authors: Li Shanshan , Ding Gang , Sun Yuqin , Zhang Chenming
Published: November 2021

Purpose. To investigate the impact of different oxygen supply methods on corneal epithelial wound healing and acetylcholine level during wound healing. Methods. We randomly divided 75 rabbits into three groups: A, B, and C, with 25 rabbits in each group. The central corneal epithelium was removed from all eyes of the rabbits using a 5 mm trephine. Group A rabbits were given low flow oxygen (3 L/min; concentration: 33%) for 2 h per day through goggles. Group B rabbits were given low flow oxygen (3 L/min; concentration: 33%) for 2 h per day via oxygen masks for inhalation. Group C rabbits healed naturally. The area of healed corneal epithelium and acetylcholine content in corneal epithelium were determined at 12 h, 24 h, and 36 h after injury. Results. At 12 h, 24 h, and 36 h after injury, the healing area of corneal epithelium in the three groups was in the order group A > group B > group C (

P
<
0.05

). At all timepoints, the acetylcholine level in corneal epithelium was in the order of group A > group B > group C (

P
<
0.05

). In all three groups, the acetylcholine content in corneal epithelium showed the order 12 h > 24 h > 36 h (

P
<
0.05

). There was a correlation between acetylcholine expression and the area of unhealed corneal epithelium, and the correlation coefficients of groups A, B, and C were 0.80, 0.83, and 0.85 respectively. Conclusion. Increasing oxygen concentration through inhalation or via goggles can promote corneal epithelial wound healing, but increasing local oxygen concentration of the eye showed a better effect. Acetylcholine may play an important role in the early process of corneal epithelial wound healing.
Green Product Market Development Strategy of Mobile Network Group Buying Community: Based on Three‐Party Evolutionary Game and Simulation Analysis
Authors: Ai Zhihong
Published: November 2021

With the advent of the 5G era, the mobile network group buying community dominated by focusing on social relations shows great development potential. However, in the mobile network group buying community, the mixed information makes the information environment of the community more complex. Information asymmetry will lead to “mistakes” in consumers’ choice, making it impossible for some important markets to be fully developed. Considering the gains and losses of three interest subjects—governments, enterprises, and consumers in the green product market under information symmetry, in this paper, an evolutionary game model involving governments, enterprises, and consumers was built. Numerical experiments and simulation were performed using SciPy, a scientific computing library of Python, to study the main factors influencing the healthy development of the green product market. The research results showed under information symmetry, when the governments’ benefit from increased government credibility was higher than the cost of governments for screening the information of enterprises’ products and identifying the green products, the expected fine of enterprises for producing high carbon products was higher than the difference between the actual cost increment and the actual income increment of enterprises for producing green products, and the utility perception of consumers from purchasing green products was higher than the cost of consumers for purchasing green products, the three‐party game would evolve to a socially ideal stable state. The above conclusions provide useful policy suggestions for governments to vigorously develop the green product market.
MALAT-1 Expression Correlates with Prognosis in Non-Small-Cell Lung Carcinoma: A Systematic Review and Meta-analysis
Authors: Ran Ran , Jin Jian-wei , Zhang Wei-ping
Published: November 2021

Background. Non-small-cell lung carcinoma (abbreviated as NSCLC) progresses rapidly and lacks appropriate biological markers. Recent studies have shown that long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) has potential application value for clinically diagnosing lung carcinoma. Thus, this study conducted a systematic review and meta-analysis for assessing if MALAT-1 has a relationship to NSCLC outcome. Methods. This study conducted the search of China National Knowledge Infrastructure, China Science and Technology Journal, SinoMed, EMBASE, Cochrane library, Web of Science, Wanfang database, and PubMed from inception to September, 1, 2021. The published article about MALAT-l expression for NSCLC patients was analyzed. We used combined hazard rates under the confidence interval of 95% for examining the relationship of MALAT-l and NSCLC.Results. In this meta-analysis, we found that 10 studies were included, and MALAT-1 expressions were distinctly related to an unfavorable overall survival (HR: 2.34 (1.65, 3.33); I2 = 76%). Considering the merger’s clinical heterogeneity, for meta-analysis, we used the random-effects method. Conclusion. Overexpression of MALAT-1 showed correlations to the less effective outcome of NSCLC. MALAT-1 might be a new NSCLC prognosis marker.
Study on the Microscopic Mechanism of Spontaneous Combustion and Oxidation Kinetics of Water-Leached Coal
Authors: Cao Naifu , Wang Gang , Liang Yuntao
Published: November 2021

In this article, a series of experiments have been carried out to study the spontaneous combustion and oxidation mechanism of coal after water immersion and investigate its tendency to spontaneous combustion, analyze the difficulty of spontaneous combustion of coal samples under different water immersion conditions, and establish a kinetic model of water immersion coal oxidation (taking the Bulianta 12# coal as a case study). They rely on physical oxidation adsorption, scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), thermogravimetry, and oil bath heating. SEM has been used to analyze the characteristics of coal pore structure under different water immersion conditions (water-saturated coal samples under different water loss conditions until the coal samples are completely dried); FTIR served to investigate the characteristics of the molecular chemical structure of the coal surface before and after the coal is immersed in water. Through programmed temperature oxidation experiments combined with FTIR analyses and gas chromatographic (GC) analysis of gaseous products, it has been possible to study the changes of molecular structure and gas products on the surface of coal samples at different temperatures and water immersion conditions. The oxidation reaction rate of the 12# coal samples of Shendong Mine’s Bulianta Mine under different water content conditions during the spontaneous combustion process has been quantitatively studied. The difficulty of spontaneous combustion of coal samples has been correspondingly addressed. A kinetic model from the perspective of oxygen consumption has been proposed. Thermogravimetry-differential scanning calorimetry (TG-DSC) has been used to analyze and study the exothermal oxidation process before and after coal immersion. From the perspective of the exothermic intensity of the coal-oxygen reaction, an oxidation kinetic model for immersed coal samples has been developed to qualitatively determine its spontaneous combustion tendency. Results have shown that the increase in the specific surface area increases the risk of spontaneous combustion, and coal samples after soaking and drying have a stronger tendency to spontaneous combustion than raw coal. The moisture content of the coal sample leading to the easiest ignition conditions is 16.05%. Regardless of the moisture content, the critical temperature is maintained at 65–75°C, and the temperature of the left coal in the goaf should be prevented from exceeding this critical value.
Motion Intent Recognition in Intelligent Lower Limb Prosthesis Using One‐Dimensional Dual‐Tree Complex Wavelet Transforms
Authors: Sheng Min , Wang Wan-Jun , Tong Ting-Ting , Yang Yuan-Yuan , Chen Hui-Lin , Su Ben-Yue
Published: November 2021

The motion intent recognition via lower limb prosthesis can be regarded as a kind of short‐term action recognition, where the major issue is to explore the gait instantaneous conversion (known as transitional pattern) between each two adjacent different steady states of gait mode. Traditional intent recognition methods usually employ a set of statistical features to classify the transitional patterns. However, the statistical features of the short‐term signals via the instantaneous conversion are empirically unstable, which may degrade the classification accuracy. Bearing this in mind, we introduce the one‐dimensional dual‐tree complex wavelet transform (1D‐DTCWT) to address the motion intent recognition via lower limb prosthesis. On the one hand, the local analysis ability of the wavelet transform can amplify the instantaneous variation characteristics of gait information, making the extracted features of instantaneous pattern between two adjacent different steady states more stable. On the other hand, the translation invariance and direction selectivity of 1D‐DTCWT can help to explore the continuous features of patterns, which better reflects the inherent continuity of human lower limb movements. In the experiments, we have recruited ten able‐bodied subjects and one amputee subject and collected data by performing five steady states and eight transitional states. The experimental results show that the recognition accuracy of the able‐bodied subjects has reached 98.91%, 98.92%, and 97.27% for the steady states, transitional states, and total motion states, respectively. Furthermore, the accuracy of the amputee has reached 100%, 91.16%, and 90.27% for the steady states, transitional states, and total motion states, respectively. The above evidence finally indicates that the proposed method can better explore the gait instantaneous conversion (better expressed as motion intent) between each two adjacent different steady states compared with the state‐of‐the‐art.
A Pan‐Cancer Analysis of Clinical Prognosis and Immune Infiltration of CKS1B in Human Tumors
Authors: Jia Yan , Tian Quan , Yang Kaitai , Liu Yi , Liu Yanfeng
Published: November 2021

Although more and more evidence supports CDC28 protein kinase subunit 1B (CKS1B) is involved significantly in the development of human cancers, most of the researches have focused on a single disease, and pan‐cancer studies conducted from a holistic perspective of different tumor sources have not been reported yet. Here, for the first time, we investigated the potential oncogenic and prognostic role of CKS1B across 33 tumors based on public databases and further verified it in a small scale by RNA sequencing or quantitative real‐time PCR. CKS1B was generally highly expressed in a majority of tumors and had a notable correlation with the prognosis of patients, but its prognostic significance in different tumors was not exactly the same. In addition, CKS1B expression was also closely related to the infiltration of cancer‐associated fibroblasts in tumors such as breast invasive carcinoma, kidney chromophobe, lung adenocarcinoma, and tumor‐infiltrating lymphocytes in tumors such as glioblastoma multiforme, bladder urothelial carcinoma, and brain lower grade glioma. Moreover, reduced CKS1B methylation was observed in certain tumors, for example, adrenocortical carcinoma. Cell cycle and kinase activity regulation and PI3K‐Akt signaling pathway were found to be involved in the functional mechanism of CKS1B. In conclusion, our first pan‐cancer analysis of CKS1B contributes to a better overall understanding of CKS1B and may provide a new target for future cancer therapy.
Management Information System for Compensation under Multihoming Network Architecture
Authors: Yuan Cao , Yicun Hua
Published: November 2021

The management information system for compensation under multihoming network architecture has been developed in order to improve the time efficiency, accuracy, and level of informatization of compensation management in university and deal with the rising data and difficulty in exchanging information between various management information systems resulting from the changing compensation policies. This system is designed based on multihost data network architecture, including function modules of all kinds of compensation promotion, personnel historical data management, time warning, statistics, and report generation. This system integrates my five years’ experience in the front‐line of compensation management work. The purpose is to fully solve the practical problems of compensation management in universities, truly help the work of compensation administrators, unify the fragmented compensation management works, and comprehensively improve the level of compensation management. It has a strong popularization and signification for reference for the compensation management work of similar universities.
Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis and Evaluation of Tibial Plateau Fracture Combined with Meniscus Injury
Authors: Fu Qimao , Huang Chuizhi , Chen Yan , Jia Nailong , Huang Jinghui , Lin Changkun
Published: November 2021

This study was carried out to explore the diagnostic effect of magnetic resonance imaging (MRI) based on the low-rank matrix (LRM) denoising algorithm under gradient sparse prior for the tibial plateau fracture (TPF) combined with meniscus injury (TPF + MI). In this study, the prior information of the noise-free MRI image block was combined with the self-phase prior, the gradient prior of MRI was introduced to eliminate the ringing effect, and a new MRI image denoising algorithm was constructed, which was compared with the anisotropic diffusion fusion (ADF) algorithm. After that, the LRM denoising algorithm based on gradient sparse prior was applied to the diagnosis of 112 patients with TPF + MI admitted to hospital, and the results were compared with those of the undenoised MRI image. Then, the incidence of patients with all kinds of different meniscus injury parting was observed. A total of 66 cases (58.93%) of meniscus tears (MT) were found, including 56 cases (50.00%) of lateral meniscus (LM), 10 cases (8.93%) of medial meniscus (MM), 16 cases (14.29%) of meniscus contusion (MC), and 18 cases (16.07%) of meniscus degenerative injury (MDI). The incidences of MI in Schatzker subtypes were 0%, 53.33% (24/45), 41.67% (5/12), 76.47% (13/17), 78.94% (15/19), and 23.53% (4/17), showing no statistically significant difference (

P
>
0.05

), but the incidence of MT was 54.46% (61/112), which was greatly higher than that of MC (15.18% (17/112)), and the difference was statistically obvious (

P
<
0.05

). The diagnostic specificity (93.83%) and accuracy (95.33%) of denoised MRI images were dramatically higher than those of undenoised MRI images, which were 78.34% and 71.23%, respectively, showing statistically observable differences (

P
<
0.05

). In short, the algorithm in this study showed better denoising performance with the most retained image information. In addition, denoising MRI images based on the algorithm constructed in this study can improve the diagnostic accuracy of MI.
Acute Occlusion of the Infarct-Related Artery as a Predictor of Very Long-Term Mortality in Patients with Acute Myocardial Infarction
Authors: Kos Nikola , Zeljković Ivan , Krčmar Tomislav , Golubić Karlo , Šaler Fran , Erceg Marijan , Delić-Brkljačić Diana , Bulj Nikola
Published: November 2021

Aim. The survey’s aim was to examine the significance of infarct-related artery (IRA) occlusion (verified angiographically) on very long-term outcomes of patients with acute myocardial infarction, within the STEMI and NSTEMI diagnosis. Methods. A single-center, nonrandomized, registry-based study on patients treated for acute coronary syndrome with percutaneous coronary intervention between June 2011 and December 2016 was conducted. Patients with angiographically proven IRA occlusion (100% stenosis with TIMI flow 0 distal to occlusion) were categorized as occlusive myocardial infarction (OMI) and patients with patent IRA (50–99% stenosis with TIMI 1–3 flow) were categorized as nonocclusive myocardial infarction (NOMI) and very long-term outcomes were analyzed. Data were collected prospectively from the hospital’s PCI registry and the database of the Croatian Institute of Public Health. Results. A total of 2450 patients were included in the study. 796 (32.5%) patients had NOMI and 1654 patients (67.5%) had OMI. According to ECG changes, 1534 patients presented with STEMI (62,6%) and 916 with NSTEMI (37,8%). 88% of STEMI patients presented with OMI and 12% with NOMI, while patients with NSTEMI in 33,8% presented with OMI and in 66,81% with NOMI. A median follow-up was 4.7 years. There was no significant difference in cardiovascular mortality between the groups (14.8% vs 13.1%; OMI vs NOMI, respectively;

p
=
0.374

) neither in all-cause mortality (19% vs 21.5%; OMI vs NOMI, respectively;

p
=
0.374

). Patients with NSTEMI had a significantly higher very long-term mortality (21.6% vs 18.1%; NSTEMI vs STEMI, respectively;

p
=
0.029

). Conclusion. The main findings of the study are as follows: (1) total IRA occlusion was not associated with higher long-term mortality; (2) NSTEMI was associated with a higher mortality rate compared with STEMI, independent of angiographic presentation (OMI/NOMI); (3) IRA occlusion was not associated with significantly higher mortality rates in patients with STEMI and NSTEMI, respectively.
[Retracted] Construction of Financial Management Early Warning Model Based on Improved Ant Colony Neural Network
Authors: Wang Meiluan
Published: November 2021

With the advent of the era of economic globalization, the world capital market is also facing financial risks. It is necessary to have a corresponding financial management early warning model to reduce economic losses. This paper uses the combination of ant colony algorithm and neural network algorithm to build a neural network improved by ant colony algorithm model. By setting relevant assumptions, the financial statements and annual report texts are predicted and analyzed and compared with the original static data forecasting model. Compared with traditional methods, the time series sequencing analysis used in this paper makes the result prediction more accurate. This allows one year’s data to be used to predict the data for the next two years. This research can provide a corresponding reference for the optimization of financial management early warning system.
A Modified Intrascleral Intraocular Lens Fixation Technique Using 27-Gauge Blunted Needles with Fewer Intraocular Manipulations
Authors: Morino Kazuya , Iida Yuto , Akimoto Masayuki
Published: November 2021

A new method for intraocular lens (IOL) fixation in the scleral tunnel using two common 27G blunted needles and an ultrathin 30G needle with fewer intraocular manipulations was developed. Half-depth scleral flaps were prepared, and vertically angled sclerotomies were performed under each scleral flap, 2 mm from the limbs with a 20G microblade or a 26G needle. Two bent 27G blunted needles connected the sclerotomy and corneoscleral incisions. One haptic was inserted into this bent 27G blunted needle extraocularly and extruded through the sclerotomy site. Each haptic was inserted into the lumen of the preplaced ultrathin 30G needle and buried into the scleral tunnel. In this retrospective study, we reviewed the outcomes of this new technique in patients with at least 3 months’ follow-up data. Iris capture of the IOL was not observed in any case, and IOL repositioning was not performed either. Astigmatism induced by intraocular aberration was almost as same as that with other methods. Our technique can be performed in any operation room without any extra instruments. This trial is registered with UMIN000044350.
Fermentation Dynamics of Ethiopian Traditional Beer (Tella) as Influenced by Substitution of Gesho (Rhamnus prinoides) with Moringa stenopetala: An Innovation for Nutrition
Authors: Birhanu Asamnew Maru , Teferra Tadesse Fikre , Lema Tesfu Bekele
Published: November 2021

This study was designed to improve Ethiopian traditional beer (tella) with the substitution of gesho by moringa leaves to enhance micronutrients. Substitution of gesho by moringa from 50 to 100% against the biochemical dynamics and nutritional and sensorial profiles of tella was assessed. Incorporation of moringa suppressed the activity of yeast and favored those of lactic acid bacteria, which shifted the properties of the product from a mild alcoholic nature to a low alcoholic and mild acidic nature, revealing the probiotic potential of tella. Moringa leaves at 100% substitution for gesho resulted in the least yeast count compared to the other formulations. The storage of tella samples over periods of 10 days also strengthened the probiotic nature of tella by drastically reducing the yeast cell counts (from 5 logs to <1). This corresponded to the slow increase in the acidity (0.63 to 0.99%), indicating comparatively higher activity of lactic acid bacteria. The best nutritional contents (dietary minerals) and sensorial acceptance of the product were attained at the 50% substitution of gesho by moringa. The implication of the present study is that ethnic foods and beverages can be innovated to meet the nutritional needs of the community.
Privacy-Preserving Scheme in the Blockchain Based on Group Signature with Multiple Managers
Authors: Tang Fei , Feng Zhuo , Gong Qianhong , Huang Yonghong , Huang Dong
Published: November 2021

Group signature can provide the privacy-preserving authentication mechanism for the blockchain. In the traditional blockchain privacy-preserving scheme based on the group signature, there is only one group manager to revoke the anonymity. Thus, the traditional scheme will have single point of failure and key escrow problems. To solve these problems, we propose a privacy-preserving scheme in the blockchain based on the group signature with multiple managers. Our scheme is constructed based on bilinear pairing and the technique of distributed key generation. Finally, we analyze the application of the proposed scheme in the field of blockchain-based provable data possession (PDP), as well as the correctness and security of the scheme.
Three-Dimensional Reconstruction of Cerebrovascular and Algorithm Realization
Authors: Li Linfeng , Jia Xiao-Jing
Published: November 2021

Objective. In the three-dimensional reconstruction of CT cerebrovascular medical image registration, a new optimization algorithm based on the relative position information between the contours of various blood vessels in the image is proposed. Methods. Using the rule that the center of gravity of the vascular tissue structure on the series of slices has continuity, find the registration relationship between the contours of the vessels in the two adjacent slices. Because the shape of cerebrovascular contour is relatively symmetrical, its center of gravity is slightly away from its geometric center. Therefore, the geometric center is used to replace the center of gravity, and the “mass” of each contour is calculated according to the area of each contour to achieve the registration of the blood vessel contour. Results. The method has the characteristics of global optimization and stronger robustness. Conclusion. The cerebrovascular image obtained by this method is more realistic and can be used for the import of various software, simulation training, and later research, which provides an effective method for preoperative simulation of cerebrovascular intervention surgery.
Deformation Characteristics of the Surrounding Rock of a Six‐Lane Multiarch Tunnel under Different Excavation Conditions
Authors: Luo Lina , Lei Gang , Hu Haibo
Published: November 2021

Highway tunnel plays an increasingly prominent role in the development of high‐grade highway traffic in mountainous countries or regions. Therefore, it is necessary to explore the deformation characteristics of the surrounding rock of a six‐lane multiarch tunnel under different excavation conditions. Using the three‐dimensional indoor model test and finite element analysis, this paper studies the dynamic mechanical behavior of a six‐lane construction, reveals the whole process of the surrounding rock deformation process of class II surrounding rock under different excavation conditions, and puts forward the best construction and excavation method. The results show that the maximum displacement rate of excavation scheme III is the largest, and the maximum displacement rate of excavation scheme I is basically the same as that of excavation scheme II. Therefore, in terms of controlling the displacement rate of the surrounding rock, the effect of excavation scheme I is basically the same as that of excavation scheme II, while that of excavation scheme III is poor. In terms of construction technology, scheme II is simpler than scheme I and can ensure the integrity of the secondary lining. Therefore, in class II surrounding rock of the supporting project, it is recommended to adopt scheme II for construction.
IL-38 and IL-36 Target Autophagy for Regulating Synoviocyte Proliferation, Migration, and Invasion in Rheumatoid Arthritis
Authors: Hao Zhe , Liu Yi
Published: November 2021

Rheumatoid arthritis (RA) is an autoimmune disease leading to severe joint damage and disability. Fibroblast-like synoviocytes (FLSs) mostly contribute to the joint inflammation and destruction in RA through distinct mechanisms. However, little is known about newly discovered interleukin- (IL-) 36 and IL-38 involving in the pathology of RA. Here, we assessed the effect of IL-36 and IL-38 on RA-FLS function using IL-36 and IL-38 overexpression plasmids. We found that IL-36 inhibited synoviocytes proliferation while IL-38 showed an opposite influence. Furthermore, IL-36 and IL-38 significantly sequestered or accelerated RA-FLS migration and invasion capacity, respectively. Mechanically, IL-36 and IL-38 targeted autophagy for RA-FLS modulation. Using autophagy inhibitor 3-MA and inducer compound rapamycin, we found that autophagy negatively regulated the survival, migration, and invasion of synovial cells. Based on these results, IL-38 in combination with autophagy inhibitor 3-MA treatment demonstrated the strongest blockage of the above three activities of RA-FLS, and IL-38 overexpression reversed rapamycin-inhibited cell proliferation, migration, and invasion. Moreover, injection of IL-36 can improve the symptoms of RA in a rat model of RA. Taken together, we conclude that IL-38 and IL-36 target autophagy for regulating synoviocyte proliferation, migration, and invasion in RA.
Formal Security Evaluation and Improvement of Wireless HART Protocol in Industrial Wireless Network
Authors: Luo Fuyuan , Feng Tao , Zheng Lu
Published: November 2021

With the rapid development of wireless communication technology in the field of industrial control systems, Wireless HART is an international wireless standard, because of its low cost and strong scalability, as well as its wide range of applications in the industrial control field. However, it is more open communication so that the possibility of increased attacks by external. At present, there are many types of research on wireless protocol security at home and abroad, but they all focus on the realization of the security function of the protocol itself, which has certain limitations for the formal modeling of the protocol security assessment. Taking into account the aforementioned research status, this paper takes the Wireless HART protocol as the research object and adopts the model detection method combining eCK model theory and colored Petri net theory to evaluate and improve the security of the protocol. First, the colored Petri net theory and CPN Tools modeling tool were introduced to verify the consistency of the original model of the protocol. And the eCK model was used to evaluate the security of the original protocol model. It was found that the protocol has two types of man-in-the-middle attack vulnerabilities: tampering and deception. Aiming at the attack loopholes of the protocol, an improvement plan was proposed. After improving the original protocol, CPN Tools modeling tool was used for security verification. It was found that the new scheme improvement can effectively prevent the existing attacks and reasonably improve the security of the protocol.
Architectural Interior Modeling Product Design Based on the Multimedia Three-Dimensional Hybrid Algorithm
Authors: Su Tao , Ouyang Gang
Published: November 2021

With the continuous development of social economy, people’s aspiration for architecture is getting higher and higher. Designing more functional and aesthetically pleasing interior styling products is increasingly important research. Relying on the multimedia three-dimensional hybrid algorithm, the mathematical modeling of the relationship between visual comfort and chromaticity is modeled in this paper, to construct an economical and practical interior architectural design model that takes into account color comfort perception, that is, complete “design, conversion, editing and repair, and semantic and coordinate supplement” and other chain construction to realize usable interior architectural design models. The simulation experiment results show that the model based on the multimedia 3D hybrid algorithm has high practicability.
Controlling Virus Spread Using an Intermittent Quarantine Strategy on Multiplex Networks
Authors: Li Xingguo , Luo Xiaoping , Wang Yiwu
Published: November 2021

Virus spreading on the Internet will negatively affect cybersecurity. An intermittent quarantine immunization strategy to control virus spreading when containing information diffusion is proposed herein. In this model, information and virus spread on different subnetworks and interact with each other. We further develop a heterogeneous mean-field approach with time delays to investigate this model and use Monte Carlo simulations to systematically investigate the spreading dynamics. For a relatively short intermittent period, the optimal information transmission probability of the virus will be significantly suppressed. However, when the intermittent period is extremely long; increasing the probability of information transmission can control the virus spreading as well as suppress the increase in the intermittent period. Finally, it is shown that the average degree of the two subnetworks does not qualitatively affect the spreading dynamics.