bluuebunny/crossref_metadata_2025 huggingface dataset:
Total Saikosaponins Attenuates Depression-Like Behaviors Induced by Chronic Unpredictable Mild Stress in Rats by Regulating the PI3K/AKT/NF-κB Signaling Axis
Authors: Zhou Zhicong , Chen Hui , Tang Xiaoyan , He Binghong , Gu Lingxia , Feng Huancun
Published: June 2022

Background. Depression is a major cause of disability and most antidepressant medicines are ineffective owing to their high toxicity and numerous adverse effects. As a result, there is an urgent need to find new effective treatment methods. This paper aims to investigate the effect and mechanism of total saikosaponins (TSS) on depression-like behaviors induced by chronic unpredictable mild stress (CUMS) in rats. Methods. Twenty-four male SD rats were randomly divided into 4 groups: control group, CUMS group, TSS group, and fluoxetine (Flu) group. Then, the following tests were conducted: sucrose preference test, open field test, and elevated plus maze test. Additionally, ELISA was used to detect the levels of corticosterone (CORT) and adrenocorticotropic hormone (ACTH) in the serum of the rats as well as the levels of inflammatory cytokines IL-1β, IL-6, and TNF-α in the hippocampus, and Western blot was used for measuring the expression of brain-derived neurotrophic factor (BDNF) protein and related proteins of the PI3K/AKT/NF-κB signaling pathway in the hippocampus. Results. TSS could significantly improve rat behaviors, specifically indicated by increases in sucrose preference, total movement distance, stay time in the central area, number of entries into open arms, time spent in open arms, and a decrease in stay time in the peripheral area. TSS acted to significantly reduce BDNF protein expression and increase the contents of ACTH and CORT in serum as well as the levels of IL-1β, IL-6, and TNF-α in the hippocampal tissue in rats. In addition, it was able to raise the ratios of p-PI3K/PI3K and p-AKT/AKT and decrease the ratio of p-p65/p65 in tissues, which in turn regulated the PI3K/AKT/NF-κB signaling pathway. Conclusions. TSS, through regulating PI3K/AKT/NF-κB signaling axis, can alleviate depression-like behaviors and elevate neuroendocrine hormone levels and inflammatory factor levels.
Application of BIM and Internet of Things Technology in Material Management of Construction Projects
Authors: Shen Wangchao
Published: June 2022

In order to solve the problems of difficulty in daily management of engineering materials and equipment and difficulty in collecting statistical data of materials and equipment, a method based on the combination of BIM (building information modeling) technology and Internet of Things technology is proposed to construct 3D model files, engineering quantity files, and construction schedule plans to determine BIM and Internet of Things technology methods in material management of construction projects. The method based on BIM technology and Internet of Things technology 5D material-integrated management platform can realize the daily management of materials more finely. For the construction industry, cost management is always an important factor related to the direct interests of design companies. The cost of building materials accounts for about 70% of the total project cost. The frequency of the tag is usually 2.4 GHz∼5.8 GHz, and its reading range can reach more than 100 m. This shows the importance of construction material management in construction projects. Taking BIM technology and Internet of Things technology as the starting point, this paper deeply analyzes the advantages of BIM technology and Internet of Things technology. It is verified that combining with the main points of material management of construction projects, from the perspective of practical application of technology, it focuses on the effectiveness of practical application of material management of construction projects.
Efficacy, Safety, and Impact on Patient Survival of PDL1/PD-1 Inhibitors versus FOLFIRINOX Regimens for Advanced Pancreatic Cancer
Authors: Zhou Lang , Wu Zhaoshu , Jiang Chunping , Dai Shiming
Published: June 2022

Background. Over the last few years, the role of PDL1/PD-1 in pancreatic cancer development has received increasing attention, and this article is aimed at opening up new ideas for the medicine-based treatment of pancreatic cancer. Aims. To investigate the efficacy and safety of PDL1/PD-1 inhibitors versus FOLFIRINOX regimen in the treatment of advanced pancreatic cancer and its impact on patient survival and to provide a reference basis for clinical treatment of pancreatic cancer. Materials and Methods. The 116 pancreatic cancer patients treated in our hospital from September 2019 to September 2021 were selected and divided into 58 cases each in the (instance of watching, noticing, or making a statement) group and the comparison group according to the method based on random number table. The comparison group was treated with FOLFIRINOX, and the group was treated with PDL1/PD-1 stopper. The effectiveness, safety, and hit/effect on survival of the patients in the two groups were compared. Results. The median chemotherapy cycle for all patients was 4 (1-6), and the combined objective remission rate (0RR) was 36% and the disease control rate (DCR) was 80% after no chemotherapy in 116 patients, with 37.5% 0RR and 81.3% DCR in the observation group and 33.3% 0RR and 77.8% DCR in the comparison group. The greatest number of all patients reached SD, 44%; in the observation group, 43.8%; and in the comparison group, 44.5%. The rate of adverse reactions such as hematological toxicity, neutropenia, anemia, thrombocytopenia, nonhematological toxicity, vomiting, fatigue, infection, diarrhea, intestinal obstruction, and peripheral neuropathy was lower in 10.3% of patients in the observation group than in 25.8% of patients in the comparison group, which was significantly different by

χ

2

test (

P
<
0.05

). The median progression-free survival curve of the two groups was 19 months in the comparison group and 22 months in the observation group. The progression-free survival in the observation group was significantly higher than that in the comparison group, and there was a statistically significant difference between the two groups (

P
<
0.05

). Conclusion. PDL1/PD-1 inhibitors in combination with FOLFIRINOX regimens have shown longer survival than treatment with FOLFIRINOX regimens for pancreatic cancer patients, with reliable clinical efficacy, tolerable adverse effects, and a high safety profile for patients.
A Rare Case of Metastatic Glioblastoma Diagnosed by Endobronchial Ultrasound-Transbronchial Needle Aspiration
Authors: Al-Sardi Mais , Alfayez Ali , Alwelaie Yazeed , Al-Twairqi Abdullah , Hamadi Faris , AlOkla Khalid
Published: June 2022

Glioblastoma is a common primary brain tumor that has a high mortality rate. Reports of intrathoracic metastases are uncommon, with the most commonly reported site for metastases are the lung and pleura. However, involvement of the mediastinum is not well documented, and few reports of confirmed mediastinal metastases diagnosed by endobronchial ultrasound-transbronchial needle aspiration (EBUS-TBNA) exist. Herein, we report a rare case of metastatic glioblastoma to the thorax. A lady in her 40s has been previously diagnosed with intracranial glioblastoma with multiple incidences of disease recurrence despite treatment with chemoradiotherapy, adjuvant chemotherapy, and repeated surgical resections. She presented with dyspnea and pleural effusion, for which radiological imaging revealed lung, pleural, and mediastinal lesions. Further diagnostic workup with EBUS and pleural fluid sampling confirmed metastatic disease to both sites. The pleural fluid showed highly atypical cells positive for GFAP, and EBUS-TBNA immunostains were GFAP, S100, and synaptophysin positive, giving an overall picture consistent with metastatic glioblastoma. The patient was referred for palliative care, and unfortunately, she passed away after several months.
Experimental Study on Crushing Characteristics of Lignite under Different Load Conditions
Authors: Dong Ziwen
Published: June 2022

Coal particle size and the degree of compaction significantly affect the goaf heritage ventilated environment and the process of spontaneous combustion of coal, the distribution of particle size and compaction degree are also affected by the load size and the application process, and the distribution of stress in goaf is not uniform, resulting in the distribution of particle size and compaction degree of mined-out coal. It is necessary to carry out experimental studies on coal crushing granularity and compaction degree under different loads and loading processes to clarify its distribution law. Therefore, experiments on the coal crushing were conducted, to analyze the compression behaviors and the distributions of the particle size with different loading speeds and loads. The results show that, in the process of slow pressure application, the lump coal was constantly compressed, compacted, and broken. With the increase in the axial load, the coal compressibility increased, and the coefficient of fragmentation and porosity decreased. When the stress was greater than the compressive strength, the variation trend slowed. When the stress was greater than two times the strength, as the load continued to increase, compression basically did not occur. The thickness and porosity of coal will be reduced to 0.5 times that of loose coal when a significant change of the compression ratio occurs. After the coal body was under pressure, the degree of crushing intensified. The fractal dimension of the particle sizes of broken coal particles followed a logarithmic relationship with the increase in the stress. With the increase of stress, the degree of crushing increased, and in the process of pressure crushing, the particle size of 2.5 mm was an important boundary. When the stress was more than two times the strength value, the degree of crushing under the increased load did not increase significantly. When the residual coal in a goaf is affected by pressure, if there is no impact, the influence of the initial pressure and periodic pressure variations on the residual coal in the goaf will not be significant, and the accumulation and crushing degree of residual coal will only be affected by the peak stress.
Novel Stacking Classification and Prediction Algorithm Based Ambient Assisted Living for Elderly
Authors: Padikkapparambil Jinesh , Ncube Cornelius , Khan Firoz , Ramasamy Lakshmana Kumar , Gashu Yomiyu Reta
Published: June 2022

Recognition of human activity is a significant area of research with numerous uses. In developed countries, the rising age of citizens requires the improvement of the medical service structure, which raises the price of resources, both financial and human. In that sense, ambient assisted living (AAL) is a relatively novel information and communication technology (ICT) that presents services and recognizes various products that enable older people and the disabled to live autonomously and improve their quality of life. It further assists in reducing the cost of hospital services. In the AAL environment, various sensors and devices are fixed to gather a broad range of data. Moreover, AAL will be the motivating technology for the latest care models by acting as an adjunct. This will become thought-provoking research in a fast-growing world, but exploring different ADL and self-classification will become a major challenge. This paper proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based AAL for the elderly with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. This paper’s main aim is to recognize the activity of older people, such as standing, walking, sitting, falling, cramps, and running. The dataset is derived from the Kaggle repository, which refers to data collection from wearable IoT devices. The experimental outcomes demonstrate that the MCFS, NCA, and NSCP algorithms work more efficiently than existing feature selection, clustering, and classification algorithms, respectively, regarding the accuracy, sensitivity, specificity, precision, recall, F-measure, and execution time dataset size and the number of features. Furthermore, the NSCP algorithm provided high accuracy, precision, recall, and F-measure are 98%, 0.96, 0.95, and 0.98, respectively.
Medicinal Mushroom Leucocalocybe mongolica Imai Extracts Improve Mammary Gland Differentiation in Lactating Rats via Regulating Protein Expression
Authors: Zaki Asmaa Hussein , Haiying Bao , Zhijun Li
Published: June 2022

Leucocalocybe mongolica is a known medicinal mushroom in China. It possesses many biological activities. This study investigated the effect of L. mongolica petroleum ether and water extracts (200, 500, and 1,000 mg/kg BW) on mammary gland differentiation during lactation. However, prolactin, growth hormone, progesterone, and estrogen levels were determined in serum by ELISA assay. Immunofluorescence, western blot, and real-time PCR were utilized to evaluate the expression levels of β-casein, α-Lactalbumin, prolactin receptor, progesterone receptor, and STAT-5a. The immunohistochemistry staining was used to detect the presence of steroid receptors. The results showed that petroleum ether and water extracts increased milk yield and milk content of calcium, total fat, total carbohydrate, and total protein. Prolactin and growth hormone levels were significantly upregulated in all treated groups compared with the control group. In contrast, progesterone and estrogen were downregulated. The high doses of petroleum ether and water extracts increased the expression levels of β-Cas, α-Lactalb, PRLR, PR, and STAT-5a. The observation of histological sections showed that the extracts induced higher mammary gland differentiation than the control group. This study is the first to use mushrooms as nutritional supplements to improve milk production and mammary gland differentiation during lactation.
Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm
Authors: Luo Fusheng , Yin Xianhui , Niu Zhanwen
Published: June 2022

To realize the predictive control of coal preparation quality and ensure that the quality of washing products is close to the minimum coal quality requirement of coal blending to the greatest extent is one of the important means to maximize production and maintain the interests of customers and enterprises. Therefore, the feasibility of introducing the double response surface method and multiobjective genetic algorithm to solve the aforementioned problems is further discussed. By selecting the controllable factors and noise factors affecting the output and determining their respective value levels, the product table method is used to design the robust parameter design test, and the experimental results are obtained, according to the experimental data, the second-order polynomial model of the mean and standard deviation of each response characteristic is established, and the effectiveness of the model is analyzed. Then, the double-response optimization function of each response characteristic is established according to the type of response characteristic. Finally, the corresponding parameter values are solved by multiobjective genetic algorithm. The internal and external surface method is used to design and run 60 tests. Through optimization analysis, the robust parameter settings are 150.68 kpa, 0.18143.73 kpa, and 30%, and the optimal output is ash 8.499%, which yields 69.54%, meeting the requirements of stakeholders. Moreover, compared with the traditional optimization design method, the superiority of the proposed method is verified, which shows that this method is conducive to the transformation of the coal preparation plant from fire-fighting quality management to preventive quality management and provides support for the accurate control and systematic management of the production process of the coal preparation plant.
Optimization of Emulsification and Microencapsulation of Balangu (Lallemantia royleana) Seed Oil by Surface Response Methodology
Authors: Izadi-NajafAbadi Parisa , Ahmadi-Dastgerdi Asiye
Published: June 2022

Balangu (Lallemantia royleana) seed oil is a valuable source of omega-6 fatty acids that reduces the risk of cardiovascular diseases. Due to the high sensitivity of this oil to environmental factors, microencapsulation has been recommended to preserve valuable compounds of oils and prevent adverse environmental effects. In this study, the oil of balangu seeds was extracted using a combination of ultrasound and shaking incubation and was microencapsulated using an emulsification method. The process was optimized using the response surface methodology (RSM). For this purpose, the effect of three independent variables such as chitosan concentration (0–1.5%), sodium alginate concentration (0–4.5%), and pH (3–7) on emulsification and microencapsulation condition was analyzed. The results showed that the optimal conditions for emulsification and microencapsulation included 0.30% chitosan, 0.14% sodium alginate, and pH 3. Scanning electron microscopy (SEM) showed that the structure of the optimal sample was smooth, spherical, and without cracks, which confirms the success of emulsification and microencapsulation processes.
Confirmatory Virucidal Activity of Ionised Active Water S-100® on the SARS-CoV-2 Virus
Authors: Wurtz Nathalie , Hasni Issam , Bancod Audrey , La Scola Bernard
Published: June 2022

Ionised active water S-100® has been proposed as an original solution for use in dermocosmetics and for the treatment of wounds such as burns and atopic dermatitis. Among the mechanisms of action that are not completely understood, an antimicrobial activity would appear to be important. In the context of the COVID-19 pandemic, we assessed the inactivating efficacy of this solution on SARS-CoV-2 based on the recommendations of the NF-EN-14476+A2 standard. The tests carried out demonstrated that ionised active water S-100® 40% has a virucidal activity on SARS-CoV-2 which is at least 3.1 log after a contact time of 30 seconds and 3.5 log after two minutes at 20°C under clean conditions. Assays were also performed at 4°C and 37°C, and the results obtained are identical to those obtained at 20°C. This demonstration of the virucidal effect of ionised water against SARS-CoV-2 paves the way for the development of usage as an alternative disinfectant in SARS-CoV-2 control.
Role of Primary Cilia in Skeletal Disorders
Authors: Li Xinhua , Guo Song , Su Yang , Lu Jiawei , Hang Donghua , Cao Shao , Fu Qiang , Li Ziqing
Published: June 2022

Primary cilia are highly conserved microtubule-based organelles that project from the cell surface into the extracellular environment and play important roles in mechanosensation, mechanotransduction, polarity maintenance, and cell behaviors during organ development and pathological changes. Intraflagellar transport (IFT) proteins are essential for cilium formation and function. The skeletal system consists of bones and connective tissue, including cartilage, tendons, and ligaments, providing support, stability, and movement to the body. Great progress has been achieved in primary cilia and skeletal disorders in recent decades. Increasing evidence suggests that cells with cilium defects in the skeletal system can cause numerous human diseases. Moreover, specific deletion of ciliary proteins in skeletal tissues with different Cre mice resulted in diverse malformations, suggesting that primary cilia are involved in the development of skeletal diseases. In addition, the intact of primary cilium is essential to osteogenic/chondrogenic induction of mesenchymal stem cells, regarded as a promising target for clinical intervention for skeletal disorders. In this review, we summarized the role of primary cilia and ciliary proteins in the pathogenesis of skeletal diseases, including osteoporosis, bone/cartilage tumor, osteoarthritis, intervertebral disc degeneration, spine scoliosis, and other cilium-related skeletal diseases, and highlighted their promising treatment methods, including using mesenchymal stem cells. Our review tries to present evidence for primary cilium as a promising target for clinical intervention for skeletal diseases.
Combined Association of Low-Density Lipoprotein Cholesterol Levels and Systolic Blood Pressure to the Outcome of Intracerebral Hemorrhage: Data from the China Stroke Center Alliance
Authors: Ding Yarong , Wang Yu , Liu Liping , Gu Hongqiu , Yang Kaixuan , Li Zixiao , Zhao Xingquan
Published: June 2022

Limited data were available about the combined impact of systolic blood pressure (SBP) and low-density lipoprotein cholesterol (LDL-C) levels on intracerebral hemorrhage (ICH) prognosis. The objective of this study is to explore whether the relationship between LDL-C and ICH outcomes was modified by SBP levels in a Chinese population. From August 1, 2015, to July 31, 2019, 75,443 ICH patients enrolled from the Chinese Stroke Center Alliance program were included in our study. Patients were divided into LDL-C levels of <70 mg/dL, 70-100 mg/dL, and ≥100 mmol/L. SBP was stratified as <140 mmHg, 140-180 mmHg, and ≥180 mmHg. The primary outcome was the occurrence of hematoma expansion (HE), and the second outcome was in-hospital mortality. Correlation between LDL-C levels and SBP on ICH outcomes were assessed by logistic regression. 6,116 (8.1%) and 1,576 (2.1%) patients suffered HE and in-hospital mortality. Compared with the ≥100 mg/dL group, patients with LDL-C concentrations under 70 mg/dL had a 19% and 24% increase in the relative risk of HE (crude OR 1.19, 95% CI 1.11-1.28) and in-hospital mortality (crude OR 1.24, 95% CI 1.08-1.42). When SBP was added as a stratification variable, the above-mentioned association was attenuated in patients under a threshold SBP of 140 mmHg (

P
>
0.05

). However, no statistical interaction was detected between SBP and LDL-C levels. Lower LDL-C levels (<70 mg/dL) are related to a higher risk of HE and in-hospital mortality confined to ICH patients with elevated SBP (≥140 mmHg).
Additional Postoperative Radiotherapy Prolonged the Survival of Patients with I-IIA Small Cell Lung Cancer: Analysis of the SEER Database
Authors: Li Jiali , Zeng Zihang , Huang Zhengrong , Gong Yan , Xie Conghua
Published: June 2022

Purpose. Complete resection and adjuvant chemotherapy are recommended as the standard strategy for patients with stage I-IIA small cell lung cancer (SCLC). However, the role of additional postoperative radiotherapy (PORT) in treatment remains controversial. Methods. Patients with stage I-IIA SCLC undergoing surgery and adjuvant chemotherapy were extracted from the Surveillance, Epidemiology, and End Results database. Stage I-IIA, defined as T1-2N0M0, was recalculated according to the 8th AJCC TNM staging system. Propensity score matching (PSM) was conducted to identify the therapeutic impact of PORT. Univariate Cox hazards regression and least absolute shrinkage and selection operator regression were utilized for primary screening of prognostic variables for I-IIA SCLC disease. A nomogram to predict overall survival (OS) was constructed based on the multivariate Cox proportional hazards model, evaluated with area under the curve, calibration curve, and decision curve analysis, and validated with bootstrap resampling. Results. Our results demonstrated that compared with no PORT, PORT significantly prolonged the median OS (8.58 vs. 5.17 years, HR = 0.61 [0.39–0.96],

P
=
0.032

) and median cancer-specific survival (11.33 vs. 8.08, HR = 0.47 [0.27–0.82],

P
=
0.0086

) after PSM. The 5-year OS rate was 61.56% vs. 46.60%. Five variables including age at diagnosis, gender, T stage, surgical type, and PORT were elucidated to impact on prognosis and included in a nomogram to predict 3-/5-/10-year OS probability. The area under the curve values were 0.72, 0.71, and 0.81, respectively. The nomogram also exhibited satisfactory accuracy and clinical usefulness. Conclusion. PORT was verified to improve the OS of patients with T1-2N0M0 SCLC after surgery and chemotherapy. A prognostic nomogram was developed and validated for OS prediction for these patients.
Classic Signaling Pathways in Alveolar Injury and Repair Involved in Sepsis-Induced ALI/ARDS: New Research Progress and Prospect
Authors: Li Wenli , Li Duo , Chen Yuansen , Abudou Halidan , Wang Haiwang , Cai Jinxia , Wang Yiping , Liu Ziquan , Liu Yanqing , Fan Haojun
Published: June 2022

Sepsis is a common critical clinical disease with high mortality that can cause approximately 10 million deaths worldwide each year. Acute lung injury (ALI) or acute respiratory distress syndrome (ARDS) is a common clinical complication of sepsis, which occurs primarily as diffuse alveolar injury, hypoxemia, and respiratory distress. The mortality rate of ALI/ARDS is as high as 30%-40%, which greatly endangers human health. Due to the unclear pathogenesis of ALI/ARDS, its treatment is still a worldwide problem. At present, clinical treatment mainly relies on lung-protective ventilation, prone position ventilation, and fluid management. However, there is a lack of effective and specific treatment measures. In recent years, domestic and foreign scholars have committed to basic research on ALI/ARDS, trying to further clarify its pathogenesis and find new targets and methods for the treatment of ALI/ARDS. In this review, we summarize the signaling pathways related to alveolar injury and repair in sepsis-induced ALI/ARDS and their latest research progress. They include the NF-κB, JAK2/STAT3, mitogen-activated protein kinase (MAPK), mTOR, and Notch signaling pathways. Understanding the molecular mechanisms of these signaling pathways in sepsis-induced ALI/ARDS may provide new targets and ideas for the clinical treatment of this disease.
Effects of Nitrogen and Potassium Fertilizers on Potato Growth and Quality under Multimodal Sensor Data Fusion
Authors: Li Wenjing , Liu Zhiqiang , Hu Zhipeng
Published: June 2022

As one of the staple foods recognized by everyone, the quality of the potato determines the popularity of the potato. In order to grow healthy potatoes and improve the quality of potatoes, this research is based on multimodal sensor data fusion technology to achieve data detection and unified management. And it can analyze the data to find out the relationship between the application of nitrogen and potassium fertilizers and potato growth and quality, so as to have a reasonable plan for potato cultivation. This paper firstly described the research results of multimodal sensors, data fusion, nitrogen and potassium fertilizers, and potato quality, and then briefly introduced the multi-sensor data fusion technology, mainly including application areas, methods, and structures. Finally, the effects of nitrogen and potassium fertilizers on the growth and quality of potato were explained through the analysis of experimental data. And the experimental results showed that under different potassium treatments, Dongnong 311 had the highest starch content under K3 treatment, which was 13.9%. This study provides a certain reference for the application of nitrogen and potassium fertilizers in potato cultivation.
User Experience Evaluation of B2C E-Commerce Websites Based on Fuzzy Information
Authors: Huang Jieqiong , Wang Xiaozhi
Published: June 2022

With the popularization of personal computers and the development of the Internet, the number of netizens is increasing. The emerging B2C e-commerce platform shows the fierce competition in the e-commerce market. B2C e-commerce distribution is faced with the problems of high distribution cost, long time, and poor quality, which leads to the poor user experience of B2C online shopping and the lack of trust in e-commerce enterprises. This research mainly discusses the user experience evaluation of B2C e-commerce websites based on fuzzy information. First, the AHP analytic hierarchy process is used to construct a hierarchical evaluation system, and then, the two-by-two judgment matrix is compared to the index factors at all levels, and experts are invited to score the method to determine the weight of each index to test whether it meets the consistency requirements. Finally, the fuzzy comprehensive evaluation method is used to perform fuzzy conversion of the original weight, and the membership degree set of the user experience evaluation factors is given, and the fuzzy comprehensive calculation result of the B2C website performance level is calculated. By combining in-depth interviews with website users and questionnaire surveys to analyze the behavioral characteristics of user information navigation, summarize the demand list for product search, product selection, product comparison, and product detail page browsing, and provide a reference for the design and development of information navigation. Calculating the decision model, mainly using fuzzy calculation, calculate the foreground value under each attribute and get the comprehensive foreground value. By comparing with the decision-making behavior model constructed by expected utility theory, it is found that the behavioral decision-making model constructed in this paper based on prospect theory can be closer to the actual situation. In this study, the satisfaction with the function provided reached 68 points, the emotional response 66 points, the aesthetic response 70 points, and the information construction 64 points. Through empirical research, the key factors affecting user satisfaction of B2C e-commerce logistics distribution are summarized, and a B2C e-commerce logistics distribution evaluation system based on user experience is established. This research will provide methods and ideas for the research on user experience design of e-commerce websites and the research and development of related network products. The article helps to draw out the countermeasures and suggestions for the development of the current B2C e-commerce logistics distribution.
Design of Semantic Matching Model of Folk Music in Occupational Therapy Based on Audio Emotion Analysis
Authors: Ouyang Wensi
Published: June 2022

The main semantic symbol systems for people to express their emotions include natural language and music. The analysis and establishment of semantic association between language and music is helpful to provide more accurate retrieval and recommendation services for text and music. Existing researches mainly focus on the surface symbolic features and association of natural language and music, which limits the performance and interpretability of applications based on semantic association of natural language and music. Emotion is the main meaning of music expression, and the semantic range of text expression includes emotion. In this paper, the semantic features of music are extracted from audio features, and the semantic matching model of audio emotion analysis is constructed to analyze ethnic music audio emotion through feature extraction ability of deep structure. The model is based on the framework of emotional semantic matching technology and realizes the emotional semantic matching of music fragments and words through semantic emotional recognition algorithm. Multiple experiments show that when

W
=
0.65

, the recognition rate of multichannel fusion model is 88.42%, and the model can reasonably realize audio emotion analysis. When the spatial dimension of music data changes, the classification accuracy reaches the highest when the spatial dimension is 25. Analysing the semantic association of audio promotes the application of folk music in occupational therapy.
Behavior of Sports Tourism Consumers Based on Cloud Computing and Mobile Big Data
Authors: Wan Huizhen
Published: June 2022

With the rise of the sports tourism industry, the group of sports tourism consumers is also growing. The study of the behavior of sports tourism consumers has therefore become a popular topic. This paper firstly organizes and analyzes the research results of scholars, finds out the deficiencies, and finds out the methods suitable for this research. On this basis, this research is practiced, and the methods found are successfully improved to add personal innovation points. Then, the definition and characteristics of cloud computing and mobile big data are elaborated. Next, this paper selects some consumers and their consumption behaviors participating in X city’s sports tourism town, golf sports tourism, skiing sports tourism, and outdoor sports tourism projects as the research objects and conducts investigation and research by means of questionnaires and interviews. At the same time, the managers and operators of some sports tourism scenic spots are selected as the research objects, and the investigation and research are carried out through the interview method, which provides a realistic basis for the study of consumer behavior. According to the survey, the proportion of sports tourism consumers who choose to travel in summer is as high as 90.10%.
Experimental Investigation and Comparison of the Net Energy Yield Using Control-Based Solar Tracking Systems
Authors: Osman Ibrahim Sufian , Almadani Ibrahim Khalil , Hariri Nasir Ghazi , Maatallah Taher Saleh
Published: June 2022

As the world trend is going towards renewable energy, solar photovoltaic (PV) energy shines the most due to the low generation cost especially by using the latest PV cell technologies and materials, although the conventional silicon cell has an efficiency in the range of 15-16%. A PV tracking system (PVTS) could be a considerable method to increase electrical PV efficiency. In this study, the performance enhancement of the daily output power and energy has been experimentally investigated using single- and dual-axis tracking mechanisms for flat-plate conventional PV panels under the insolation conditions of the Eastern province of Saudi Arabia (SA). In the current study, the active PVTS has been designed and implemented with PID controllers and controlled in real-time with an embedded system. The fixed-tilt (FTPV), single-axis solar tracking system (SAST), and dual-axis solar tracking system (DAST) were tested simultaneously under clear-sky conditions. The PV electrical energy balance has revealed that the energy consumed by the electrical controllers of the SAST and DAST is 3.4% and 3.9%, respectively. In addition, the energy losses due to the actuators of the SAST and DAST are 7.8% and 13.0%, respectively, where they contributed mainly to the energy losses. However, the PV energy production by the DAST was high enough to compensate for the higher actuating mechanism losing rate compared to the SAST and performed incremental net energy output of around 8.64%. On other hand, the DAST and SAST were more efficient than the FTPV recording higher net energy increase by 28.98% and 18.73%, respectively.
Human Umbilical Cord Mesenchymal Stem Cells Encapsulated with Pluronic F-127 Enhance the Regeneration and Angiogenesis of Thin Endometrium in Rat via Local IL-1β Stimulation
Authors: Zhou Shuling , Lei Yu , Wang Ping , Chen Jianying , Zeng Liting , Qu Ting , Maldonado Martin , Huang Jihua , Han Tingting , Wen Zina , Tian Erpo , Meng Xiangqian , Zhong Ying , Gu Jiang
Published: June 2022

Thin endometrium (< 7 mm) could cause low clinical pregnancy, reduced live birth, increased spontaneous abortion, and decreased birth weight. However, the treatments for thin endometrium have not been well developed. In this study, we aim to determine the role of Pluronic F-127 (PF-127) encapsulation of human umbilical cord mesenchymal stem cells (hUC-MSCs) in the regeneration of thin endometrium and its underlying mechanism. Thin endometrium rat model was created by infusion of 95% ethanol. Thin endometrium modeled rat uterus were treated with saline, hUC-MSCs, PF-127, or hUC-MSCs plus PF-127 separately. Regenerated rat uterus was measured for gene expression levels of angiogenesis factors and histological morphology. Angiogenesis capacity of interleukin-1 beta (IL-1β)-primed hUC-MSCs was monitored via quantitative polymerase chain reaction (q-PCR), Luminex assay, and tube formation assay. Decreased endometrium thickness and gland number and increased inflammatory factor IL-1β were achieved in the thin endometrium rat model. Embedding of hUC-MSCs with PF-127 could prolong the hUC-MSCs retaining, which could further enhance endometrium thickness and gland number in the thin endometrium rat model via increasing angiogenesis capacity. Conditional medium derived from IL-1β-primed hUC-MSCs increased the concentration of angiogenesis factors (basic fibroblast growth factor (bFGF), vascular endothelial growth factors (VEGF), and hepatocyte growth factor (HGF)). Improvement in the thickness, number of glands, and newly generated blood vessels could be achieved by uterus endometrium treatment with PF-127 and hUC-MSCs transplantation. Local IL-1β stimulation-primed hUC-MSCs promoted the release of angiogenesis factors and may play a vital role on thin endometrium regeneration.
Study of Multidimensional and High-Precision Height Model of Youth Based on Multilayer Perceptron
Authors: Chen Lijian , Fan Xinben , Mao Keji , Tolba Amr , Alqahtani Fayez , Ahmed Ahmedin M.
Published: June 2022

Predicting the adult height of children accurately has great social value for the selection of outstanding athlete as well as early detection of children’s growth disorders. Currently, the mainstream method used to predict adult height in China has three problems: its standards are not uniform; it is stale for current Chinese children; its accuracy is not satisfactory. This article uses the data collected by the Chinese Children and Adolescents’ Physical Fitness and Growth Health Project in Zhejiang primary and secondary schools. We put forward a new multidimensional and high-precision youth growth curve prediction model, which is based on multilayer perceptron. First, this model uses multidimensional growth data of children as predictors and then utilizes multilayer perceptron to predict the children’s adult height. Second, we find the Table of Height Standard Deviation of Chinese Children and fit the data of zero standard deviation to obtain the curve. This curve is regarded as Chinese children’s mean growth curve. Third, we use the least-squares method and the mean curve to calculate the individual growth curve. Finally, the individual curve can be used to predict children’s state height. Experimental results show that this adult height prediction model’s accuracy (between 2 cm) of boys and girls reached 90.20% and 88.89% and the state height prediction accuracy reached 77.46% and 74.93%. Compared with Bayley–Pinneau, the adult height prediction is improved 19.61% for boys and 13.33% for girls. Compared with BoneXpert, the adult height prediction is improved 25.49% for boys and 6.67% for girls. Compared with the method based on the bone age growth map, the adult height prediction is improved 15.69% for boys and 24.45% for girls.
Global Research Trends in Tendon Stem Cells from 1991 to 2020: A Bibliometric and Visualized Study
Authors: Long Huibin , Yuan Ziyang , Yin Heyong , Yang Bo , Guo Ai
Published: June 2022

Background. Tendinopathy is a disabling musculoskeletal disorder affecting the athletics and general populations. There have been increased studies using stem cells in treating tendon diseases. The aim of this bibliometric and visualized study is to comprehensively investigate the current status and global trends of research in tendon stem cells. Methods. Publications related to tendon stem cells from 1991 to 2020 were retrieved from Web of Science and then indexed using a bibliometric methodology. VOSviewer software was used to conduct the visualized study, including coauthorship, cocitation, and cooccurrence analysis and to analyze the publication trends of research in tendon stem cells. Results. In total, 2492 articles were included and the number of publications increased annually worldwide. The United States made the largest contribution to this field, with the most publications (938 papers, 37.64%), citation frequency (68,195 times), and the highest

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-index (103). The most contributive institutions were University of Pittsburgh (96 papers), Zhejiang University (70 papers), Shanghai Jiao Tong University, and Chinese University of Hong Kong (both 64 papers). The Journal of Orthopaedic Research published the most relative articles. Studies could be classified into five clusters: “Animal study,” “Tissue engineering,” “Clinical study,” “Mechanism research,” and “Stem cells research”, which show a balanced development trend. Conclusion. Publications on tendon stem cells may reached a platform based on current global trends. According to the inherent changes of hotspots in each cluster and the possibilities of cross-research, the research in tendon stem cells may exist a balanced development trend.
On the Association between Gastrointestinal Symptoms and Extragastric Manifestations
Authors: Naoum G. , Markantonis S. L. , Fanerou E. , Siagkas G. , Petropoulos F. , Zafiris E. , Kousovista R. , Karalis V.
Published: June 2022

The aim of this study was to investigate the relationship between gastrointestinal (GI) symptoms and extragastric manifestations such as headache, fatigue, and dizziness. A prospective cohort study was conducted in a tertiary hospital in Athens, where patients with GI problems and extragastric symptoms were treated only for their GI problems, and improvement in extragastric manifestations was recorded. Inclusion criteria were an age older than 18 years, the presence of at least one of the three extragastric symptoms investigated in this study (headache, dizziness, and fatigue), and the concomitant presence of at least one gastrointestinal symptom (e.g., nausea, belching, abdominal tenderness, epigastric pain, halitosis, flatulence, diarrhea, bad odor of flatulence, flatulence, and constipation). A standardized questionnaire was used to collect demographic data (such as age, weight, and height), patients’ symptoms, laboratory findings (gastric biopsy, gastroscopy, and colonoscopy), and intensity/frequency of GI and extragastric symptoms. Statistically significant associations were found between GI symptoms (nausea, constipation, halitosis, and belching) and dizziness, fatigue, and headache (frequency, intensity, and duration). Treatment of GI problems resulted in a significant improvement in extragastric symptoms within one month of treatment initiation. It should be emphasized that the actual reason for the improvement in extragastric symptoms was solely the resolution of the GI problems, as patients did not receive specific treatments for headache, dizziness or fatigue, or other changes in daily life. This study demonstrates the association between extragastric manifestations and GI disorders.
Security Optimization Management for loT-Assisted Bank Liquidity Risk Emergency Using Big Data Analytic-Based Case Reasoning
Authors: Yan Wei , Song Yinghua
Published: June 2022

In modern times, financial institutions are the core carrier of efficient operation of financial markets. With the continuous development of financial models such as IoT (Internet of Things) finance, commercial banks have made many attempts in the integration and innovation of finance and logistics, but they have also increased the types and complexity of risks they face while improving financing efficiency. It has the characteristics of great destructiveness, strong infectivity, and high complexity. The establishment of a perfect emergency security optimization management for early warning of bank liquidity risk is an important part of timely detection and effective management of liquidity risk. In order to enable decision makers to accurately use the effective disposal of similar liquidity risk emergencies as a reference for decision-making, this paper studies the generation method of emergency security plan for bank liquidity risk using big data analytic-based case reasoning. Firstly, analyze the characteristics of various types of bank liquidity emergencies a, and identify the key risk points, and form the accident case database. Secondly, carry out the interval division according to the different numerical distribution characteristics of the indicators, and calculate the repeatability of the involved stages. Finally, calculate the comprehensive similarity to obtain the emergency security plan for reference. At the same time, taking A commercial bank as an example, verify the effectiveness of the method by using the constructed case-based reasoning model to generate emergency security plans intelligently. It provides reference for commercial bank liquidity risk management.
Optimization of Classroom Teaching Strategies for College English Listening and Speaking Based on Random Matrix Theory
Authors: Liao Danlu
Published: June 2022

Online English teaching systems are more and more widely used in higher education teaching. Based on random matrix theory, this study constructs an optimization model of classroom teaching strategies for college English listening and speaking. By comparing and analyzing the universal properties of the research system and the random system matrix, the model can examine the random properties and special nonrandom properties within the system and solve the quantification problem of college English classroom education. First, based on the existing college English listening and speaking classroom teaching system, with the help of J2EE structure in information technology, the existing college English listening and speaking classroom teaching system is optimized, the customer layer, web layer, business logic layer, and student listening and speaking classroom learning effect management layer are designed, and the system is applied to college English listening and speaking classroom teaching. During the simulation process, a random matrix theoretical dynamics graph library and a subject library were written, so that combining the elements of each vector into a new matrix. Experiments show that the ensemble framework based on ranking learning can not only integrate multiple matrix factorization algorithm models to obtain better recommendation accuracy but also can more fully reflect the eigenvalues of each individual. The experimental results show that when the number of sampling points is 80 and the signal-to-noise ratio is −15 dB, the detection probability is close to 80%, which effectively improves the classroom random detection performance of English teaching and the effect of strategy optimization.
C1R, CCL2, and TNFRSF1A Genes in Coronavirus Disease-COVID-19 Pathway Serve as Novel Molecular Biomarkers of GBM Prognosis and Immune Infiltration
Authors: Wang Xianggang , Yang Guohua , Wang Qingqing , Zhao Yilong , Ding Kaixin , Ji Can , Shi Zongyuan , Li Huaying , Li Ying , Li Shujing
Published: June 2022

Glioblastoma multiforme (GBM) is a prevalent intracranial brain tumor associated with a high rate of recurrence and treatment difficulty. The prediction of novel molecular biomarkers through bioinformatics analysis may provide new clues into early detection and eventual treatment of GBM. Here, we used data from the GTEx and TCGA databases to identify 1923 differentially expressed genes (DEGs). GO and KEGG analyses indicated that DEGs were significantly enriched in immune response and coronavirus disease-COVID-19 pathways. Survival analyses revealed a significant correlation between high expression of C1R, CCL2, and TNFRSF1A in the coronavirus disease-COVID-19 pathway and the poor survival in GBM patients. Cell experiments indicated that the mRNA expression levels of C1R, CCL2, and TNFRSF1A in GBM cells were very high. Immune infiltration analysis revealed a significant difference in the proportion of immune cells in tumor and normal tissue, and the expression levels of C1R, CCL2, and TNFRSF1A were associated with immune cell infiltration of GBM. Additionally, the protein-protein interaction networks of C1R, CCL2, and TNFRSF1A involved a total of 65 nodes and 615 edges. These results suggest that C1R, CCL2, and TNFRSF1A may be used as molecular biomarkers of prognosis and immune infiltration in GBM patients in the future.