bluuebunny/crossref_metadata_2025 huggingface dataset:
Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks
Authors: Badr Malek , Al-Otaibi Shaha , Alturki Nazik , Abir Tanvir
Published: August 2022

The electrocardiogram, also known as an electrocardiogram (ECG), is considered to be one of the most significant sources of data regarding the structure and function of the heart. In order to obtain an electrocardiogram, the contractions and relaxations of the heart are first captured in the proper recording medium. Due to the fact that irregularities in the functioning of the heart are reflected in the ECG indications, it is possible to use these indications to diagnose cardiac issues. Arrhythmia is the medical term for the abnormalities that might occur in the regular functioning of the heart (rhythm disorder). Environmental and genetic variables can both play a role in the development of arrhythmias. Arrhythmias are reflected on the ECG sign, which depicts the same region regardless of where in the heart they occur; thus, they may be seen in ECG signals. This is how arrhythmias can be detected. Due to the time limits of this study, the ECG signals of individuals who were healthy, as well as those who suffered from arrhythmias were divided into 10-minute segments. The arithmetic mean approach is one of the fundamental statistical factors. It is used to construct the feature vectors of each received wave and interval, and these vectors offer information regarding arrhythmias in accordance with the agreed-upon temporal restrictions. In order to identify the heart arrhythmias, the obtained feature vectors are fed into a classifier that is based on a multilayer perceptron neural network. In conclusion, ROC analysis and contrast matrix are utilised in order to evaluate the overall correct classification result produced by the ECG-based classifier. Because of this, it has been demonstrated that the method that was recommended has high classification accuracy when attempting to diagnose arrhythmia based on ECG indications. This research makes use of a variety of diagnostic terminologies, including ECG signal, multilayer perceptron neural network, signal processing, disease diagnosis, and arrhythmia diagnosis.
Developing a 5-Gene Signature Related to Pyroptosis for Osteosarcoma Patients
Authors: Li Zhe , Jin Chi , Lu Xinchang , Zhang Yan , Zhang Yi , Wen Jia , Liu Yongkui , Liu Xiaoting , Li Jiazhen
Published: August 2022

Although the incidence of osteosarcoma (OS) is relatively low compared with other cancer types, the overall survival of metastatic OS was less than 30%. This study aimed to reveal the role of pyroptosis in osteosarcoma and develop a prognostic model related to pyroptosis. Weighted correlation network analysis (WGCNA) was applied to identify key gene modules related to pyroptosis. Univariate Cox regression analysis was used to screen prognostic genes related to pyroptosis. The least absolute shrinkage and selection operator (LASSO) and stepwise Akaike information criterion (stepAIC) were employed to optimize and construct a prognostic model. Five prognostic genes (COL13A1, TNFRSF1A, LILRA6, CTNNBIP1, and CD180) related to pyroptosis were identified. According to the 5-gene signature, OS samples were divided into high- and low-PPRS groups with differential prognosis. Immune-related pathways were more activated in the low-PPRS group. The 5-gene signature was effective and robust to predict OS prognosis. These five prognostic genes were involved in OS development and may serve as new targets for developing therapeutic drugs.
Effectiveness of Comprehensive Nursing in Hemodialysis of Patients with Chronic Renal Failure and the Impact on Their Quality of Life
Authors: Wen Quan , Yao Shuang , Yao Bingnan
Published: August 2022

Objective. To assess the effectiveness of comprehensive nursing in patients with chronic renal failure undergoing hemodialysis and the impact on their quality of life. Methods. The present study included 86 patients undergoing hemodialysis for chronic renal failure from January 2020 to October 2021 and randomly assigned them to receive either normal nursing or comprehensive nursing, with 43 cases in each group. Outcome measures included psychological status, treatment compliance, quality of life, and complications of the eligible patients. Results. After the intervention, comprehensive nursing resulted in lower Self-Rating Anxiety Scale (SAS) scores and Self-Rating Depression Scale (SDS) scores and higher quality of life scores for patients versus routine nursing (

P
<
0.05

). Comprehensive nursing was associated with a significantly higher overall patient compliance rate versus routine nursing (

P
<
0.05

). Patients receiving comprehensive nursing had a lower risk of developing complications versus those given routine nursing (

P
<
0.05

). Conclusion. Comprehensive care increases treatment compliance and self-care capacity of patients undergoing hemodialysis for chronic renal failure, improves their quality of life, and lowers the risk of complications, indicating a high potential for clinical advancement.
Effectiveness of Laparoscopic Cholecystectomy in Patients with Gallbladder Stones with Chronic Cholecystitis
Authors: Rao Leiping , Zhou Guoqing , Gao Yongzhong , Huang Yongchuan , He Hongwei , Gu Qiyun
Published: August 2022

Objective. To assess the effectiveness of laparoscopic cholecystectomy in patients with gallbladder stones and chronic cholecystitis. Methods. From July 2018 to January 2020, 90 patients with gallbladder stones and chronic cholecystitis assessed for eligibility were recruited and concurrently assigned (1 : 1) to receive either small-incision cholecystectomy (observation group) or laparoscopic cholecystectomy (experimental group). Outcome measures included operation time, intraoperative bleeding volume, postoperative hospital stay, c-reactive protein (CRP), interleukin (IL)-6, tumor necrosis factor-α (TNF-α), gastrin (GAS), vasoactive intestinal peptide (VIP), motilin (MOT), and adverse events. Results. Patients given laparoscopic cholecystectomy showed lower levels of operation-related indices versus those receiving small-incision cholecystectomy (

P
<
0.05

). Laparoscopic cholecystectomy resulted in lower postoperative levels of CRP, IL-6, and TNF-α in the patients versus small-incision cholecystectomy (

P
<
0.05

). Patients receiving laparoscopic cholecystectomy showed better GAS, VIP, and MOT levels than those receiving small-incision cholecystectomy (

P
<
0.05

). The eligible patients after laparoscopic cholecystectomy had a significantly lower incidence of adverse events versus those after small-incision cholecystectomy (

P
<
0.05

). Conclusion. Laparoscopic cholecystectomy effectively shortens the operative time and length of hospital stay in patients with gallbladder stones and chronic cholecystitis, reduces intraoperative bleeding, attenuates the inflammatory response, and enhances the gastrointestinal function, with less surgical trauma and high safety. Clinical trials are, however, required prior to promotion.
The Academic Evaluation Practice of Theoretical Courses of Physical and Vocal Music Education Major under the Concept of Quantitative Evaluation
Authors: Wang Shuaitong
Published: August 2022

Under the rapid progress of educational reform, the evaluation method of students’ studies in China is only partially adjusted or even remains at the same level for a long time. There will be a growing gap between it and the existing education system and social needs. Therefore, based on the concept of quantitative evaluation, the gap and unreasonable evaluation methods of academic evaluation of theoretical courses of physical and vocal music education majors caused by unfair educational resources and physical conditions of Chinese students have been studied. Student Growth Percentile (SGP) academic evaluation model based on the current education situation in China is proposed. By analyzing the establishment process of this model and comparing it with the current two academic evaluation models, the advantages and disadvantages of the SGP model are analyzed. Then, a practical application case of the SGP model in a place is used to show the model’s actual evaluation process and feedback results. Through the SGP model on the growth evaluation of group students and the teaching evaluation of teachers, the growth and problems of students in this stage and whether the teachers’ teaching is effective are analyzed to obtain the pertinent results. Finally, the students and teachers are investigated, and their satisfaction with this model is 81% and 75%, respectively, proving this model’s reliability and practicality.
Blockchain Information Sharing Mechanism Based on Embedded System in Project Management System
Authors: Tian Jinzhao , Liu Yisheng , Yang Meng , Sun Ruijiao , Zheng Xiaoxiao
Published: August 2022

As a new force for online reconstruction, blockchain will bring major changes to resource-sharing activities and information service organizations. The research introduces blockchain and related technologies, provides two basic ways of sharing data sources, and conducts two extensive information source sharing based on blockchain. The article analyzes the various challenges that need to be overcome to implement a blockchain-based information sharing system and suggests that project information service organizations should actively deal with the challenges brought about by blockchain. Experimental research is being conducted on a blockchain-based control system, and a blockchain-based blockchain management system is being developed. On the basis of system analysis and design, the most important functional components of the software system are developed. They include functions such as recording customers, logging in, storing information, printing device information, invoking server-side smart contracts, and conducting audit management. It uses decentralized payments and statistical aggregation of data. The experimental results show that the efficiency of using the blockchain information sharing mechanism in the management system is 35% higher than that of the traditional method, which can more effectively deal with the problem of information delay during the project management process.
Maximum Power Exploitation of Photovoltaic System under Fast-Varying Solar Irradiation and Local Shading
Authors: Chiu Yi-Jui , Li Bi , Chen Chin-Ling , Lien Shui-Yang , Chen Ding , Yi Ji-Ming , Shih Yung-Hui
Published: August 2022

The photovoltaic (PV) model commonly used in engineering has difficulty in accurately predicting the actual power generation. In this study, a PV model commonly used in engineering was used to establish a PV simulation model and improve it based on experimental data. The influence of the PV output power characteristics and local shading on the power generation efficiency of the PV system was analyzed using MATLAB and the improved model. Aiming at the problem that most maximum power point tracking (MPPT) algorithms have difficulty quickly tracking the maximum power point (MPP) under fast-varying solar irradiation; a polynomial fitting-MPPT (PF-MPPT) algorithm and a simple fitting-MPPT (SPF-MPPT) algorithm based on polynomial fitting were proposed to track the maximum power point under the fast-varying solar irradiation. Finally, an improved MPPT system with the PF-MPPT algorithm was proposed to solve the problem of the significant reduction of the output power of a PV system under fast-varying solar irradiation and local shading. The simulation results showed that under fast-varying solar irradiation, the power-tracking abilities, and stabilities of the proposed two algorithms were similar to those of the perturb and observe (P&O) algorithm, but the tracking speed was over 2.58 times that of the constant voltage tracking (CVT) algorithm and four times that of the P&O algorithm. In addition, under fast-varying solar irradiation and local shading, the speed, ability, and stability of the improved MPPT system with the PF-MPPT algorithm when tracking the maximum power were 9.52, 1.32, and 1.84 times of the MPPT system with the P&O algorithm and 2.18, 1.41, and 2.00 times of the MPPT system with the particle swarm optimization algorithm, respectively.
Marriage, Face, and the Body: Human Body Health and the Body Symbols of Hui’an Woman in Southeastern China
Authors: Chen Meiting , Zhang Xiaoxu
Published: August 2022

The body is not only a physical body but also a communicative body which constructs meaning through communication, and the human body health exerts a considerable influence on self‐identity and society. The most fundamental power contained in the communicative body of human constitutes our concept and existing culture. Through in‐depth interviews, this paper attempts to analyze the daily microphysical practice of Hui’an women of Xuehua Village in Southeastern China and analyze the meaning of symbol which generates from the body of Hui’an women coming and returning between the husbands’ and the natal family. Because of the marriage customs of “extended natal residence marriage,” how the interaction of the human body health continues this special marriage custom and preserves the face of women in this community is shown.
Effects of Sports Drinks on Weight Loss Control and Lipid Metabolism in Overweight Students
Authors: Yu Qiufen , Shan Liubai , Du Lei , Zang Jiali
Published: August 2022

In order to explore how sports drinks can achieve weight loss control and lipid metabolism in college students, the author proposes an experiment based on weight loss control and lipid metabolism in college students. This experiment recommends key technical problems and solutions based on information represented by college students’ weight loss control, a study exploring how sports drinks can achieve weight loss control in college students. Research has shown that Jupu sports drink is more suitable than 87% of sports drinks on the market for college students to lose weight. Sports drinks have a positive effect on maintaining a high blood sugar level during exercise and have a certain antifatigue effect in mass fitness. Jupu sports drink not only has the effect of other sports drinks but also has a certain effect on weight loss control.
Deep Learning-Based Construction and Processing of Multimodal Corpus for IoT Devices in Mobile Edge Computing
Authors: Liang Chu , Xu Jiajie , Zhao Jie , Chen Ying , Huang Jiwei
Published: August 2022

Dialogue sentiment analysis is a hot topic in the field of artificial intelligence in recent years, in which the construction of multimodal corpus is the key part of dialogue sentiment analysis. With the rapid development of the Internet of Things (IoT), it provides a new means to collect the multiparty dialogues to construct a multimodal corpus. The rapid development of Mobile Edge Computing (MEC) provides a new platform for the construction of multimodal corpus. In this paper, we construct a multimodal corpus on MEC servers to make full use of the storage space distributed at the edge of the network according to the procedure of constructing a multimodal corpus that we propose. At the same time, we build a deep learning model (sentiment analysis model) and use the constructed corpus to train the deep learning model for sentiment on MEC servers to make full use of the computing power distributed at the edge of the network. We carry out experiments based on real-world dataset collected by IoT devices, and the results validate the effectiveness of our sentiment analysis model.
[Retracted] The Expression of the Long Noncoding RNA AFAP1‐AS1 in Laryngeal Carcinoma Affects the Proliferation, Invasion, Migration, and Apoptosis of TU212 Cell Line
Authors: Chen Xin , Hu Ziwei , Bing Liao , Zhu Xinhua , Liu Ke , Liu Yuehui , Liu Jianguo
Published: August 2022

Background. lncRNA AFAP1‐AS1 has been linked to the pathogenesis of a wide range of tumors. Nevertheless, whether it plays a role in laryngeal carcinoma (LC) remains unclear. Methods. Twenty‐nine pairs of LC and related normal tissues were collected for the detection of lncRNA AFAP1‐AS1 using qRT‐PCR. Correlation of lncRNA AFAP1‐AS1 level and clinicopathological characters was assessed by the chi‐square test. Impacts of lncRNA AFAP1‐AS1 silencing on LC phenotypes were tested in vitro via CCK‐8, clone formation, EdU staining, wound healing, flow cytometry, and Transwell assay. Results. Herein, a remarkable elevation of lncRNA AFAP1‐AS1 was observed in LC patients. And higher lncRNA AFAP1‐AS1 level was correlated to worse clinical pathological characteristics. Moreover, lncRNA AFAP1‐AS1 silencing was revealed to repress TU212 malignant phenotypes. Conclusion. Our data suggested that lncRNA AFAP1‐AS1 acts as an oncogene of LC in vitro.
Prognostic Analysis of Liver Cirrhosis Patients with Cerebral Infarction and/or Gastrointestinal Hemorrhage: A Retrospective Cohort Study
Authors: Lu Dianqiang , Jiang Zhengyan , Zhai Xuezhen , Sun Zhiguang
Published: August 2022

Background. To explore the risk factors of gastrointestinal hemorrhage and/or cerebral infarction complications in liver cirrhosis and provide evidence for early prevention, clinical diagnosis, and treatment of liver cirrhosis. Methods. 200 liver cirrhosis patients were analyzed: liver cirrhosis (

n
=
78

), liver cirrhosis complicated with cerebral infarction (

n
=
43

), liver cirrhosis complicated with gastrointestinal hemorrhage (

n
=
57

), and liver cirrhosis complicated with gastrointestinal hemorrhage and cerebral infarction (

n
=
22

). The incidence of disease in each group of patients at different times was calculated. Multivariate logistic regression was used to analyze the risk factors of liver cirrhosis patients with gastrointestinal hemorrhage and cerebral infarction. After 12 months of follow-up, the mortality rate of each group was calculated. Results. The incidences of gastrointestinal hemorrhage, cerebral infarction, and gastrointestinal hemorrhage combined with cerebral infarction in patients with liver cirrhosis were 21.5%, 28.5%, and 11%, respectively. The width of the portal vein, D-2 polymer, albumin (ALB), and hemoglobin (Hb) were predictors of gastrointestinal hemorrhage and cerebral infarction in patients with liver cirrhosis. Age, hypertension, bleeding history, infection, portal vein width, and D-2 polymer were confirmed as risk factors for gastrointestinal hemorrhage and cerebral infarction in patients with liver cirrhosis. ALB and Hb were independent protective factors. Patients with liver cirrhosis and gastrointestinal hemorrhage with cerebral infarction had the worst survival. Conclusion. Age, hypertension, bleeding history, infection, portal vein width, and D-2 polymer are all independent risk factors for gastrointestinal bleeding and cerebral infarction, while ALB and Hb are independent protective factors.
Elevated FOXA1 Expression Indicates Poor Prognosis in Liver Cancer due to Its Effects on Cell Proliferation and Metastasis
Authors: Liu Zhenrong , Wang Yaru , Aizimuaji Zulihumaer , Ma Sheng , Xiao Ting
Published: August 2022

Purpose. Studying the pathogenesis of liver cancer is conducive to the exploration of effective diagnostic and prognostic biomarkers. In this study, we investigated the expression of FOXA1 and its oncogenic role in hepatocellular carcinoma (HCC). Methods. Transcriptome data of HCC tissues were downloaded from The Cancer Genome Atlas (TCGA) and GEO databases and analyzed using R software. We also upregulated FOXA1 expression in HCC cells and investigated the role of FOXA1 in the proliferation and migration of HCC cells through proliferation, colony formation, wound healing, and Transwell assays. Results. An analysis of the transcriptome data in TCGA database revealed found that FOXA1 is highly expressed in HCC tissues and that patients with low FOXA1 expression have a better prognosis. High FOXA1 expression was mainly associated with extracellular matrix organization, cancer, and mitosis. The results of an immunohistochemistry (IHC) assay showed that FOXA1 protein was highly expressed in HCC tissues, and patients with low FOXA1 expression showed longer disease-specific survival times and progression-free intervals. The results from quantitative reverse transcription–PCR (RT–qPCR) and Western blot experiments showed that the expression of FOXA1 in liver cancer cell lines was higher than that in immortalized human liver cell lines. Proliferation, wound healing, and Transwell experiments showed that FOXA1 enhanced the proliferation and migration abilities of liver cancer and immortalized human cell lines. Conclusion. Our research suggests that FOXA1 plays an important role in promoting the recurrence and metastasis of HCC by increasing cell proliferation and metastasis.
Research on Separation and Emission Reduction of Regional Airliner Based on Wake Encounter Response Model
Authors: Pan Weijun , Wang Hao , Luo Yuming , Wang Jingkai , Han Shuai
Published: August 2022

To ensure the safety of aircraft operation, the current regional passenger aircraft maintains a large distance from the preceding aircraft in actual operation, which result in reducing the operation efficiency of airports and airspace, and increasing pollutant emissions. To address these issues, in this paper, two aircraft types are selected in which the CRJ-900 encounters the trailing wake vortices of the A380 in front. An improved strip model is developed to build the CRJ-900 overall response wake encounter value. First, the safety of the CRJ-900 longitudinal and lateral wake encounters in different flight stages is analyzed. Second, we calculate the critical safety separation and its impact on air transport efficiency. Third, we use the LTO model to measure the reduction of aircraft fuel consumption and pollutant emissions. The results demonstrated that the medium-sized aircraft CRJ-900 has the potential to reduce the wake separation when following the super-heavy A380 aircraft. In terms of the critical safety separation calculated by the safety index, the operating efficiency of airports and airspace could be effectively improved, allowing the reduction of pollutant emissions during aircraft take-off and landing. During the takeoff, level flight, and landing phase, the results are summarized as follows: when the CRJ-900 is 13km away from the A380, the maximum lift variation is 11334N, 8157N, and 7366N; the maximum rolling moment variation is 43836N•M, 35274 N•M, and 28487 N•M; the maximum value of the rolling moment coefficient (RMC) is 0.0171, 0.0160, and 0.0130; when the RMC critical value is 0.031, the maximum safe separation for different flight stages is 11960m, which is 1040m shorter than the existing separation; when the RMC critical value is 0.05, the maximum safe separation distance of each stage is 10083m, a reduction of 2917m compared with the existing separation; when the RMC threshold is 0.07, the maximum safe separation of different flight stages is 9021m, a reduction of 3979m compared to the existing separation; when the RMC value is between 0.031-0.07, the fuel consumption can be reduced by 7.9%–12.8%, and the pollutant emission can be reduced by 9.1%–12.8%.
The Evolutionary Characteristics of Lower Permian Keziliqiman Reefs in the Southwest Margin of Tarim Basin, Northwest China
Authors: Wang Yijun , Tang Hongming , Yang Guang , Wang Zhenyu , Zhang Yunfeng , Chen Lei
Published: August 2022

The Permian strata in the southwest Tarim Basin contain organic reefs with good exploration prospects. Based on observations of outcrops and thin section examination of the Permian Keziliqiman Formation reef in the Sangzhu section of Pishan County, Xinjiang, northwest China, the basic characteristics of the reef are studied. This organic reef, as a point reef which grew along the platform margin, has a complete subfacies system of base, core, front, back, and cap. The lithology of the lower zone of the core is mainly sponge bafflestone, while that of the upper zone is coral framestone. The development of reefs was controlled by the rise and fall of sea level. It was when the sea level rose in southwest Tarim Basin that the Keziliqiman reef gradually came into existence. Later, with rapid decline of sea level in that area, the Sangzhu section turned into a hot and dry supratidal zone, where algae began to flourish, dolomitization intensified, reef building organisms died en masse, and eventually the reef died. Paleontological and geochemical characteristics of the Sangzhu reef indicate that the sea-level decline in southwest Tarim Basin may be related to the Early Permian glaciers. Since then, the reef began to be transformed by diagenesis. But on the whole, its effect was not significant. Furthermore, its diagenetic process had more to do with marine fluids than with nonmarine fluids, for nonmarine fluids was powerful enough to affect bioclasts but powerless to affect micritic matrix.
A Prediction Nomogram Combining Epworth Sleepiness Scale and Other Clinical Parameters to Predict Obstructive Sleep Apnea in Patients with Hypertension
Authors: Wang Lin , Sun Dongsheng , Xie Jianhong , Zhang Li , Lao Dibo , Xu Shaokun
Published: August 2022

Background. Obstructive sleep apnea (OSA) is common in patients with hypertension. Nonetheless, OSA is underdiagnosed despite considerable evidence of the association between OSA and adverse health outcomes. This study developed and validated a clinical nomogram to predict OSA in patients with hypertension based on the Epworth Sleepiness Scale (ESS) score and OSA-related parameters. Methods. A total of 347 hypertensive patients with suspected OSA were retrospectively enrolled and randomly assigned to a training set and a validation set at 70 : 30 (N = 242/N = 105) ratio. OSA was diagnosed through sleep monitoring and was defined as an apnea-hypopnea index ≥5 events/h. Using the least absolute shrinkage and selection operator regression model, we identified potential predictors of OSA and constructed a nomogram model in the training set. The predictive performance of the nomogram was assessed and validated by discrimination and calibration. The nomogram was also compared with ESS scores according to decision curve analysis (DCA), integrated discrimination index (IDI), and net reclassification index (NRI). Results. ESS scores, body mass index, neck circumference, snoring, and observed apnea predicted OSA are considered. The nomogram showed similar discrimination between the training set (AUC: 0.799, 95% CI: 0.743–0.847) and validation set (AUC: 0.766, 95% CI: 0.673–0.843) and good calibration in the training (P=0.925>0.05) and validation (P=0.906>0.05) sets. Compared with the predictive value of the ESS, the nomogram was clinically useful and significantly improved reclassification accuracy (NRI: 0.552, 95% CI: 0.282–0.822,P<0.001; IDI: 0.088, 95% CI: 0.045–0.133,P<0.001) at a probability threshold of >42%. Conclusions. We developed a novel OSA prediction nomogram based on ESS scores and OSA-related parameters. This nomogram may help improve clinical decision-making, especially in communities and primary clinics, where polysomnography is unavailable.
Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs)
Authors: An Peng , Zhang Junyan , Li Mingqun , Duan Peng , He Zhibing , Wang Zhongq , Feng Guoyan , Guo Hongyan , Li Xiumei , Qin Ping
Published: August 2022

Purpose. Based on computerized tomography (CT) radiomics and clinical data, a model was established to predict the prognosis of patients with gastrointestinal pancreatic neuroendocrine neoplasms (GP-NENs). Methods. In the data collection, the clinical imaging and survival follow-up data of 225 GP-NENs patients admitted to Xiangyang No.1 People’s Hospital and Jiangsu Province Hospital of Chinese Medicine from August 2015 to February 2021 were collected. According to the follow-up results, they were divided into the nonrecurrent group (

n
=
108

) and the recurrent group (

n
=
117

), based on which a training set and a test set were established at a ratio of 7/3. In the training set, a variety of models were established with significant clinical and imaging data (

P
<
0.05

) to predict the prognosis of GP-NENs patients, and then these models were verified in the test set. Results. Our newly developed combined prediction model had high predictive efficacy. Univariate analysis showed that Radscore 1/2/3, age, Ki-67 index, tumor pathological type, tumor primary site, and TNM stage were risk factors for the prognosis of GP-NENs patients (all

P
<
0.05

). The area under the receiver operating characteristic (ROC) curves (AUC) of the combined model was significantly higher [AUC:0.824, 95% CI 0.0342 (0.751-0.883)] than that of the clinical data model [AUC:0.786, 95% CI 0.0384(0.709-0.851)] and the radiomics model [AUC:0.712, 95% CI 0.0426(0.631-0.785)]. The decision curve also confirmed that the combined model had a higher clinical net benefit. The same results were achieved in the test set. Conclusion. The prognosis of patients with GP-NENs is generally poor. The combined model based on clinical data and CT radiomics can help to early predict the prognosis of patients with GP-NENs, and then necessary interventions could be provided to improve the survival rate and quality of life of patients.
Pigment Epithelium-Derived Factor Protects Retinal Neural Cells and Prevents Pathological Angiogenesis in an Ex Vivo Ischemia Model
Authors: Xi Lei , Tikhonovich Marina , Biesemeier Antje , Julien-Schraermeyer Sylvie , Schraermeyer Ulrich , Tschulakow Alexander V.
Published: August 2022

Ocular ischemia/hypoxia is a severe problem in ophthalmology that can cause vision impairment and blindness. However, little is known about the changes occurring in the existing fully formed choroidal blood vessels. We developed a new whole organ culture model for ischemia/hypoxia in rat eyes and investigate the effects of pigment epithelium derived factor (PEDF) protein on the eye tissues. The concentration of oxygen within the vitreous was measured in the enucleated rat eyes and living rats. Then, ischemia was mimicked by incubating the freshly enucleated eyes in medium at 4°C for 14 h. Eyes were fixed immediately after enucleation or were intravitreally injected with PEDF protein or with vehicle before incubation. After incubation, light and electron microscopy (EM) as well as Tunel staining was performed. In the living rats, the intravitreal oxygen concentration was on average at 16.4% of the oxygen concentration in the air and did not change throughout the experiment whereas it was ca. 28% at the beginning of the experiment and gradually decreased over time in the enucleated eyes. EM analysis revealed that the shape of the choriocapillaris changed dramatically after 14 h incubation in the enucleated eyes. The endothelial cells made filopodia-like projections into the vessel lumen. They appeared identical to the labyrinth capillaries found in surgically extracted choroidal neovascular membranes from patients with wet age-related macular degeneration (AMD). These filopodia-like projections nearly closed the vessel lumen and showed open gaps between neighboring endothelial cells. PEDF significantly inhibited labyrinth capillary formation and kept the capillary lumen open. The number of TUNEL-positive ganglion cells and inner nuclear layer cells was significantly reduced in the PEDF-treated eyes compared to the vehicle-treated eyes. The structural changes in the chroidal vessels observed under ischemia/hypoxia conditions can mimic early changes in the process of pathological angiogenesis as observed in wet AMD patients. This new model can be used to investigate short-term drug effects on the choriocapillaris after ischemia/hypoxia and it highlighted the potential of PEDF as a promising candidate for treating wet AMD.
Application of Digital Information Technology in Book Classification and Quick Search in University Libraries
Authors: Xiao Huijie
Published: August 2022

A digital library is a digital information resource system supported by modern high technology, a next-generation information resource management model on the Internet, and the result of the digitization of library collections, and with the development of society and the accelerated pace of people’s lives, people cannot spend too much time classifying and finding books, so the study of book classification and quick finding in university libraries is very important. This paper mainly researches and analyzes the classification and quick search of books in the university library through the algorithms and methods of digital information technology and finds a better algorithm. This paper mainly conducts experiments on automatic text and support vector machine (one-to-many and global optimization) methods and compares the obtained experimental data, such as classification accuracy, classification time, search time, and other data. The experimental results show that the classification accuracy of these three classification methods is in the range of 86%–94%. However, compared with the two methods of automatic text classification and one-to-many classification, the global optimization classification has the highest accuracy in the sample size of each interval. Among them, the classification time is the lowest for automatic text classification, which is less than 30s, and the one-to-many classification sample takes the most time, and their average fitness is in the range of 24%–27%.
Isolation, Synthesis, and Fungicidal Activity of Isopropyl (3-methyl-1-oxo-1-((1-((4-(prop-2-yn-1-yloxy)phenyl)thio)propan-2-yl)amino)butan-2-yl)carbamate Diastereomers against Phytophthora capsici
Authors: Tian Lei , Gao Yang , Peng Xing-Jie , Zhang Cheng , Zhao Wei-Guang , Liu Xing-Hai
Published: August 2022

Two isopropyl (3-methyl-1-oxo-1-((1-((4-(prop-2-yn-1-yloxy)phenyl)thio)propan-2-yl)amino)butan-2-yl)carbamate diastereomers were isolated. Fungicidal activities indicated that the isolated four chiral compounds possessed excellent activity against P. capsici with the EC50 value of 4a (1.30 μg/mL), 4b (0.078 μg/mL), 4c (1.85 μg/mL), and 4d (44.4 μg/mL). Among them, compound 4b exhibited remarkably high activities against Phytophthora capsici, which is better than that of positive control dimethomorph. Its R and S isomers showed that chiral influences the activity against P. capsici.
Biomechanical Analysis of Volleyball Players’ Spike Swing Based on Deep Learning
Authors: Hu Lejun , Zhao Kai , Jiang Wei
Published: August 2022

Deep learning is to learn the inherent laws and representation levels of sample data. The information obtained during these learning processes is of great help in the interpretation of data such as text, images, and sounds. Through the deep learning method, the image features are learned independently, and feature extraction is realized, which greatly simplifies the feature extraction process. It uses deep learning technology to capture the motion of volleyball players and realizes the recognition and classification of motion types in the data. It finds the characteristics and deficiencies of the current volleyball players’ spiking skills by comparing the test data of 8 volleyball players’ spiking skills and biological analysis. The results show that the front and rear spiking balls with double-arm preswing technology have very obvious technical differences. In the take-off stage, there was no significant difference in the buffering time, the kick-off time, and the take-off time in the front and rear row spikes of the A-type. The buffer time of the B-type spike is 0.26 s in the front row and 0.44 s in the rear row. The range of motion of the front row spike is greater than the range of motion of the back row spike. In the air hitting stage, the range of action of the back row spiking is larger than that of the front row spiking, but the range of action of the back row is greater than that of the front row spiking.
Library Resource Construction and Interconnection Model Based on Linked Data
Authors: Fan Xinyuan
Published: August 2022

Heterogeneous and self-distributed massive data has always been the core issue of knowledge openness and knowledge sharing. Because the library has a wide range of data sources, various types of resources, and many operating platforms, a large amount of heterogeneous data is stored in it, which greatly affects the sharing of resources in the library. Linked Data, as one of the implementation methods of Semantic Web technology, can promote the interconnection and interoperability of data in different fields and promote the opening and sharing of knowledge. Therefore, this paper proposes the construction of library resources based on Linked Data, aiming to study how to optimize the association rules of Linked Data in the context of the Semantic Web and promote the continuous realization of open sharing of information resources. Experiments show that, under the action of the optimized association rules, the support degree between data can reach 79%, and the data association degree can be increased to 84%.
Improved Bread and Durum Wheat Cultivars Showed Contrasting Performances in N-Efficiency and N-Responsiveness
Authors: Tufa Zerihun B. , Diriba-Shiferaw G. , Balemi Tesfaye , Tadesse Kassu
Published: August 2022

Wheat productivity can be increased by applying nitrogen (N) in the form of chemical fertilizers. However, owning to the high prices, chemical fertilizers are unaffordable to resource-poor farmers in Ethiopia. The use of N-efficient cultivars rather makes an alternative option for sustainable wheat production. Six bread and six durum wheat cultivars were thus evaluated under low N (1 g·pot−1) and optimum N (5 g·pot−1) in six replications. The pot-based treatments were arranged in randomized complete block design in the lathe house at Kulumsa Agricultural Research Center. Results showed that the number of effective tillers (NET), spike length (SL), total dry biomass yield (TBY), grain yield (GY), NDVI values, total N uptake (TNUP), N utilization efficiency (NUtE), N uptake efficiency (NUpE), N use efficiency (NUE), grain, and straw N uptakes were significantly influenced by wheat cultivars and N levels. Under low N, Hidase and Kingbird gave significantly higher GY, whereas Danda’a and Hidase gave significantly higher GY under optimum N. Under low N, Hidase, Kingbird, and Lemu were identified as the most N-efficient, while Ude, Landrace, and Utuba identified as N-inefficient based on multicriterion performance (GY, TBY, SL, NET, TNUP, NHI, NUpE, NUtE, and NUE). Under optimum N, Danda’a, Shorima, Hidase, and Lemu were identified as the most responsive, while Ude, Landrace, and Kingbird identified as nonresponsive to N application. In conclusion, Kingbird is recommended for low N input, while Danda’a and Shorima are recommended for N input intensive, and Hidase and Lemu are recommended for both low and high N input intensive wheat production.
Risk Assessment Study on Mechanical Connecting Aisle Construction in the Bohai Mudstone Stratum with High Water Pressure
Authors: Zhang Wencui , Zhang Jian , Luo Jiaru , Lin Yuanying , Zhu Yaohong
Published: August 2022

With the in-depth advancement of underground transportation in China, the connecting aisle is used as a link between different underground spaces to provide sufficient security and connection. The basic structural units of underground and aboveground spaces play an extremely important role. The use of the mechanical connecting aisle construction of over mucky strata is difficult, and it is easy to have an impact on the main tunnel. To ensure the safety of connecting aisle construction, studies should be performed on the construction technology, equipment, scheme, and related risk analysis of mechanical connecting aisle construction. In this study the work breakdown structure-risk breakdown structure combined with the expert investigation method is used to comprehensively identify the construction process, construct the risk index system of mechanical connecting aisle construction, determine the initial risk value, and comprehensively use the fuzzy-analytic hierarchical process to establish a fuzzy complementary judgment matrix, obtain the risk-weighted correction value, and quantitatively evaluate the risk source level of the mechanical connecting aisle construction. Based on the assessment method, the risk assessment of the mechanical connecting aisle construction project in Daqing section of Qingdao Metro Line 8 was performed, 113 potential risk sources were identified, and the comprehensive assessment obtained 7 major risk sources such as “improperly designed construction organization,” “instability of excavation surface,” and “easy leakage of lower river crossing” that were greater than the total risk average of 2.053. Corresponding risk response measures were proposed, which provided a reference for the risk assessment of similar projects in the construction of similar projects on mechanical connecting aisle construction in the Bohai mudstone stratum with high water pressure.
Direct Radiation Model of Louver Shading in Office Building Shade Based on Network Optimization Method
Authors: He Dasi , Jianguo Chang , Xing Han
Published: August 2022

In view of the current situation of excessively rapid growth of building energy consumption, a control strategy of external shading louvers based on comprehensive energy consumption is proposed to deeply tap the potential of building energy saving. First, the architectural design software Ecotect is used to establish a simulation model of a shading building in Zhengzhou and import it into the lighting analysis software Daysim and the energy consumption simulation software Energyplus to simulate the annual lighting energy consumption and air-conditioning at 11 kinds of blind angles (15∼165°). For heating energy consumption, take the blind angle corresponding to the minimum comprehensive energy consumption as the opening angle of the dynamic blinds and analyze the comprehensive energy consumption for the whole year under dynamic sunshading. The results show that, compared with the conventional control strategy, the optimized control strategy based on comprehensive energy consumption can greatly improve the building’s energy-saving rate.
Object Detection in Medical Images Based on Hierarchical Transformer and Mask Mechanism
Authors: Shou Yuntao , Meng Tao , Ai Wei , Xie Canhao , Liu Haiyan , Wang Yina
Published: August 2022

The object detection task in the medical field is challenging in terms of classification and regression. Due to its crucial applications in computer-aided diagnosis and computer-aided detection techniques, an increasing number of researchers are transferring the object detection techniques to the medical field. However, in existing work on object detection, researchers do not consider the low resolution of medical images, the high amount of noise, and the small size of the objects to be detected. Based on this, this paper proposes a new algorithmic model called the MS Transformer, where a self-supervised learning approach is used to perform a random mask on the input image to reconstruct the input features, learn a richer feature vector, and filter out excessive noise. To focus the model on the small objects that are being detected, the hierarchical transformer model is introduced in this paper, and a sliding window with a local self-attention mechanism is used to give a higher attention score to the small objects to be detected. Finally, a single-stage object detection framework is used to predict the sequence of sets at the location of the bounding box and the class of objects to be detected. On the DeepLesion and BCDD benchmark dataset, the model proposed in this paper achieves better performance improvement on multiple evaluation metric categories.
MRF-IUNet: A Multiresolution Fusion Brain Tumor Segmentation Network Based on Improved Inception U-Net
Authors: Jiang Yongchao , Ye Mingquan , Wang Peipei , Huang Daobin , Lu Xiaojie
Published: August 2022

The automatic segmentation method of MRI brain tumors uses computer technology to segment and label tumor areas and normal tissues, which plays an important role in assisting doctors in the clinical diagnosis and treatment of brain tumors. This paper proposed a multiresolution fusion MRI brain tumor segmentation algorithm based on improved inception U-Net named MRF-IUNet (multiresolution fusion inception U-Net). By replacing the original convolution modules in U-Net with the inception modules, the width and depth of the network are increased. The inception module connects convolution kernels of different sizes in parallel to obtain receptive fields of different sizes, which can extract features of different scales. In order to reduce the loss of detailed information during the downsampling process, atrous convolutions are introduced in the inception module to expand the receptive field. The multiresolution feature fusion modules are connected between the encoder and decoder of the proposed network to fuse the semantic features learned by the deeper layers and the spatial detail features learned by the early layers, which improves the recognition and segmentation of local detail features by the network and effectively improves the segmentation accuracy. The experimental results on the BraTS (the Multimodal Brain Tumor Segmentation Challenge) dataset show that the Dice similarity coefficient (DSC) obtained by the method in this paper is 0.94 for the enhanced tumor area, 0.83 for the whole tumor area, and 0.93 for the tumor core area. The segmentation accuracy has been improved.
The Analytical Solutions for the Stochastic-Fractional Broer–Kaup Equations
Authors: Alshammari Saleh , Mohammed W. W. , Samura Sallieu K. , Faleh S.
Published: August 2022

We take into account here the stochastic-fractional Broer–Kaup equations (SFBKEs) perturbed by the multiplicative Wiener process. To get rational, hyperbolic, and elliptic stochastic solutions for SBKEs, we utilize the Jacobi elliptic function method. The derived solutions are significantly more useful and effective in comprehending various important challenging physical phenomena due to the important of SFBKEs in describing the propagation of shallow water waves. Also, we use the MATLAB Package to create 2D and 3D graphs for certain solutions of SFBKEs in order to discuss the impact of fractional order and the Wiener process on the solutions of SFBKEs.
Differential Effects of Dietary White Meat and Red Meat on NAFLD Progression by Modulating Gut Microbiota and Metabolites in Rats
Authors: Li Juan , Li Yuting , Feng Shufen , He Kaiyin , Guo Liliangzi , Chen Weiwei , Wang Min , Zhong Lixian , Wu Chutian , Peng Xiaojuan , Tang Shaohui
Published: August 2022

Objective. To assess the effects of dietary white meat (grass carp and chicken) and red meat (pork and beef) on metabolic parameters, including the intestinal microbiota and its metabolites (SCFAs and bile acids) in NAFLD rats induced by high-fat diet. Methods. NAFLD rats were randomly assigned to five groups: NAFLD group, grass carp group, chicken group, pork group, and beef group (10 rats in each group), and these rats were fed for 8 weeks using the high-fat diet, grass carp-based diet, chicken-based diet, pork-based diet, and beef-based diet, respectively. At the end of the intervention, NAFLD-related metabolic indexes, intestinal flora, and its metabolites were measured. Results. The grass carp-based diet significantly improved hepatic pathological changes and glycolipid metabolism, and the chicken-based diet only partially improved the metabolic parameters. However, NAFLD progression was observed in the pork group and the beef group. What is more, the white meat-based diet-mediated changes in the enrichment of beneficial bacteria (such as Lactobacillus or Akkermansia), SCFAs, and unconjugated BAs (such as UDCA) and the depletion of pathogenic bacteria (such as Bilophila and Prevotella_9) and conjugated BAs were observed, while the red meat-based diet-induced changes in the enrichment of pathogenic bacteria (Prevotella_9 or Lachnospiraceae_UCG-010) and conjugated BAs and the depletion of SCFAs and unconjugated BAs were found. Conclusion. The dietary white meat and red meat modulating gut microbiota and its metabolites may favor and aggravate NAFLD in rats, respectively.