bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Candidate Therapeutic Target Genes and Profiling of Tumor-Infiltrating Immune Cells in Pancreatic Cancer via Integrated Transcriptomic Analysis
Authors: Ding Wei , Wang Yuxu , Ma Yongbiao , Lin Li , Li Manjiang
Published: August 2022

Pancreatic cancer (PC) has a dismal prognosis despite advancing scientific and technological knowledge. The exploration of novel genes is critical to improving current therapeutic measures. This research is aimed at selecting hub genes that can act as candidate therapeutic target genes and as prognostic biomarkers in PC. Gene expression profiles of datasets GSE101448, GSE15471, and GSE62452 were extracted from the GEO database. The “limma” package was performed to select differentially expressed genes (DEGs) between PC and normal tissue samples in each dataset. Robust rank aggregation (RRA) algorithm was conducted to integrate multiple expression profiles and identify robust DEGs. GO analysis and KEGG analysis were conducted to identify the functional correlation of the DEGs. The CIBERSORT algorithm was conducted to estimate the immune cell composition of each tissue sample. STRING and Cytoscape were used to establish the protein-protein interaction (PPI) network. The cytoHubba plugin in Cytoscape was performed to identify hub genes. Survival analysis based on hub gene expression was performed with clinical information from TCGA database. 566 robust DEGs (338 upregulated genes and 226 downregulated genes) were identified. Tumor tissue had a higher infiltration of resting dendritic cells and tumor-associated macrophages (TAM), including M0, M1, and M2 macrophages, while infiltration levels of B memory cells, plasma cells, T cells CD8, T follicular helper cells, and NK cells in normal tissue were relatively higher. GO terms and KEGG pathway analysis results revealed enrichment in tumor-associated pathways, including the extracellular matrix organization, cell−substrate adhesion cytokine−cytokine receptor interaction, calcium signaling pathway, and glycine, serine, and threonine metabolism, to name a few. Finally, FN1, MSLN, PLAU, and VCAN were selected as hub genes. High expression of FN1, MSLN, PLAU, and VCAN in PC significantly correlated with poor prognosis. Integrated transcriptomic analysis was used to provide new insights into PC pathogenesis. FN1, MSLN, PLAU, and VCAN may be considered as novel biomarkers of PC.
Innovation and Entrepreneurship of College Students Based on Random Matrix Big Data Analysis Model Educational Ecological Model Optimization
Authors: Chai Xiaoting , Yu Yi , Zhou Xuan
Published: August 2022

In this paper, the random matrix big data analysis model is thoroughly studied and constructed, the ecological model of college students’ innovation and entrepreneurship education is analyzed, and the optimization model of college students’ Innovation and entrepreneurship education environmental model based on the random matrix big data analysis model is designed. This paper briefly explains the random matrix and its M-P rate theory deduces the idea of feature extraction by the difference of eigenvalue limit spectrum distribution between different nonrandom matrices and random matrices, gives the data matrix representation method of FEMPL and the specific feature composition basis, and describes the steps of FEMPL feature extraction. A performance model for predicting the running time of Hadoop jobs is constructed using a random matrix. In this paper, innovation and entrepreneurship education has been carried out gradually, and the innovation and entrepreneurship education curriculum, platform, and mechanism have been progressively established. However, there is still a gap between the proper level of innovation and entrepreneurship education development. This study takes education ecology as the research perspective, analyzes the ecosystem of typical schools of innovation and entrepreneurship education, summarizes the dimensions and parameters of the invention and entrepreneurship education ecosystem, constructs an ecological model of innovation and entrepreneurship education for college students, and analyzes the problems and causes of the current innovation and entrepreneurship education ecology for college students based on the model, to propose specific strategies to promote the ecological development of innovation and entrepreneurship education for college students.
Effect of Ultrasound Image-Guided Nerve Block on the Postoperative Recovery Quality of Patients with Tibial Fractures Using the Concept of Enhanced Recovery after Surgery
Authors: Zhang Xiaohong , He Lu , Mo Xiangqing , Jiang Ling , Deng Chenhui
Published: August 2022

This study was aimed at investigating the clinical effect of ultrasound-guided nerve block based on the concept of enhanced recovery after surgery (ERAS) for postoperative anesthesia in patients with tibial fractures. The noise-reduction processing was introduced in ultrasound images to adjust the ultrasound clarity of the patient. A total of 177 patients with tibial fractures in our hospital were retrospectively analyzed and divided into OG group (general anesthesia combined with nerve block, 78 cases), C1 group (simple general anesthesia, 27 cases), C2 group (ultrasound-guided nerve block combined with general anesthesia, 10 cases), and C3 group (62 cases of spinal-epidural anesthesia). The effect of anesthesia and postoperative recovery time of patients in each group were analyzed. The wake-up time of the OG group was significantly shorter than that of the other three groups (

P
<
0.05

). The doses of propofol and remifentanil in the OG group were much lower than those in the other groups (

P
<
0.05

). After the ultrasound image was processed with noise reduction, the image showed the lesion more clearly. The excellent and good rates of OG group, C1 group, C2 group, and C3 group were 89.86%, 62.73%, 75.37%, and 61.07%, respectively. The Ramsay sedation score and anesthesia satisfaction in the OG group were obviously higher than those in the other groups, but there was no significant difference (

P
>
0.05

). The visual analogue scale (VAS) scores of the OG group at 12 h, 24 h, and 36 h after the surgery were

4.52
±
0.41

,

4.72
±
0.24

, and

4.81
±
0.74

, respectively, which were significantly higher than those of the other three groups (

P
<
0.05

). On the basis of ERAS, ultrasound-guided nerve block combined with general anesthesia can improve the perioperative pain in patients with tibial fractures and significantly shorten the time for the wake-up time. In addition, it was safe and reliable, so it was worthy of clinical promotion.
Environment‐Friendly Vocal Music Ecological Education: Sustainable Development of Vocal Music Education from the Perspective of Building
Authors: Zhang Gengyuan
Published: August 2022

With the acceleration of the modernization of human society, natural ecology is continuously destroyed, which inevitably brings about the crisis of the human spirit, and human beings progressively lose the ability to draw power from nature. Similarly, music is losing its function of freeing people from secularity and becoming a carrier of pure utility. For a long time, there have been some disharmonious factors in the ecological environment of vocal music teaching. For example, some vocal music teaching facilities are out of date, vocal music course resources are single and scarce, vocal music courses are comparatively isolated and lack organic integration with other courses, and relevant art practices and scientific research activities of teachers and students are not carried out well after class, comprehensive quality of teachers cannot be effectively improved, and external communication of colleges and universities is not enough. This has affected the quality of vocal music teaching to a certain extent. Accordingly, an environment‐friendly ecological vocal education emerged. In addition, both building and music are the supplement and creation of the human living environment by the material organization. Consequently, their performance has similar characteristics of origin. Thus, from the perspective of the building, we touch the music, listen to the building, and analyze the integration of ecological vocal music education and building. The empirical test verified the effect of ecological vocal music teaching under the building vision.
Preemptive Diagnosis of Alzheimer’s Disease in the Eastern Province of Saudi Arabia Using Computational Intelligence Techniques
Authors: Olatunji Sunday O. , Alansari Aisha , Alkhorasani Heba , Alsubaii Meelaf , Sakloua Rasha , Alzahrani Reem , Alsaleem Yasmeen , Alassaf Reem , Farooqui Mehwash , Basheer Ahmed Mohammed Imran , Alhiyafi Jamal
Published: August 2022

Alzheimer’s Disease (AD) is a silent disease that causes the brain cells to die progressively, influencing consciousness, behavior, planning ability, and language to name a few. AD increases exponentially with aging, where it doubles every 5-6 years, causing profound implications, such as swallowing difficulties and losing the ability to speak before death. According to the Ministry of Health in Saudi Arabia, AD patients will triple by 2060 to reach 14 million patients worldwide. The rapid rise of patients is caused by the silent progress of the disease, leading to late diagnosis as the symptoms will not be distinguished from normal aging affect. Moreover, with the current medical capabilities, it is impossible to confirm AD with 100% certainty via specific medical examinations. The literature review revealed that most recent publications used images to diagnose AD, which is insufficient for local hospitals with limited imaging capabilities. Other studies that used clinical and demographical data failed to achieve adequate results. Consequently, this study aims to preemptively predict AD in Saudi Arabia by employing machine learning (ML) techniques. The dataset was acquired from King Fahad Specialist Hospital (KFSH) in Dammam, Saudi Arabia, containing standard clinical tests for 152 patients. Four ML algorithms, namely, support vector machine (SVM), k-nearest neighbors (k-NN), Adaptive Boosting (AdaBoost), and eXtreme Gradient Boosting (XGBoost), were employed to preemptively diagnose the disease. The empirical results demonstrated the robustness of SVM in the pre-emptive diagnosis of AD with accuracy, precision, recall, and area under the receiver operating characteristics (AUROC) of 95.56%, 94.70%, 97.78%, and 0.97, respectively, with 13 features after applying the sequential forward feature selection technique. This model can assist the medical staff in controlling the progression of the disease at low costs.
Application of C4.5 Algorithm in Insurance and Financial Services Using Data Mining Methods
Authors: Xuanyuan Shihao , Xuanyuan Shiang , Yue Ye
Published: August 2022

The insurance financial management information system has accumulated a large amount of data as the insurance financial system has improved and the number of people investing in insurance has increased rapidly. The performance of the insurance agency significantly contributes to the industry’s growth, which leads to economic prosperity. Different financial ratios were developed to investigate it, taking into consideration the insurance provider’s stability, insolvency, profitability, and leverage. The profitability of organizations and insurers is used to evaluate the general effectiveness. In order to achieve this goal, this study examines the impact of insolvency, leverage, stability, scope, and impartiality of capital on the efficiency of Chinese life insurers. The study of financial statements examines a company’s overall financial health throughout time. It is a method of identifying a company’s financial assets and liabilities by integrating a statement of financial position and balance sheet features. It provides a systematic approach to assessing and evaluating the company’s predicament. Using the experimental results, the scores of several insurance firms are compared, and their performance is described based on these results. The effective use of these data to assist decision-makers in developing more reasonable financial insurance investment policies have emerged as a significant challenge that must be addressed. This study utilized the decision tree C 4.5 mining algorithm to analyze insurance financial system data, identify key factors influencing insurance finance, and assist decision-makers in optimizing policy parameters. Finally, the consequence of an increase is analyzed using a previously unseen method to assess the precision of the prediction result.
Fill-In and Boiling Transition Characteristics during the Liquid Oxygen Chill-Down Process in a Vertical Exit-Contracted Pipe
Authors: Zhang Jiaqi , Wang Ke , Chen Lanwei
Published: August 2022

Liquid oxygen chill-down in a vertical exit-contracted pipe was investigated experimentally. The wall temperatures were recorded in detail to describe the filling and chill-down process of the experimental section. Two quenching fronts, the exit one and the inlet one, were detected, and their propagations were found. Results show that the chill-down process is controlled mainly by the formation and propagation of quenching front, which are determined by the pressure level. With the increase of pressure, the roles of both propagation of quenching front and inlet quenching front undergo decreasing. On the vertical section, the effect of circumferential position was discussed in detail and the dominant point was identified, which determines the boiling transition time of the dominated points on the current cross-section. Based on the experimental data, two correlations were suggested for dominant point and dominated points, respectively, to predict heat flux on Leidenfrost, heat transfer coefficient on Leidenfrost, and critical heat flux. One equation was approved to predict heat transfer coefficient on critical heat flux point for both sorts of points. All of these correlations could produce reliable predictions.
Research on Optimization of Structural Parameters of Equipment Cabin Bottom Cover
Authors: Zou Hua , Wu Qifeng , Zhang Yonggui
Published: August 2022

Since the railway vehicle structure has lots of parameters and several complex constraints, this study establishes a method for structural parameter optimization based on sensitivity analysis and surrogate models. Fatigue crack problem of the equipment cabin bottom cover of the EMU is taken as an example to optimize its structural parameters. First, establish the finite element (FE) model of the bottom cover and compare it with the bench test results to verify the accuracy of the load and restraint conditions. The sensitivity analysis method is used to determine the main parameters. The input samples are obtained by Latin hypercube sampling method, and the output samples are obtained by the method jointly developed by ABAQUS+Python and the surrogate model between the input and output samples is obtained by fitting, and its accuracy is verified. According to the design requirements, the optimization objective function and constraint conditions are established, and the optimization result is obtained by optimization algorithm. The results were substituted into the FE model for verification. The results show that the maximum equivalent stress of the bottom cover is reduced from 126.7 MPa to 78.9 MPa under a cyclic aerodynamic load of ±4 kPa, which is 37.7% optimized, and the effect is significant. This method avoids the iterative optimization of the FE model and improves the optimization efficiency.
Quality Evaluation of College Employment Based on Fuzzy Comprehensive Evaluation and Immersive Virtual Realization Technology
Authors: Ji Yahui , Luo Ye
Published: August 2022

In order to further understand the employment forms, employment dynamics, and employment competitiveness of college students, this paper puts forward an employment quality evaluation model based on fuzzy comprehensive evaluation and immersive virtual realization technology in combination with the employment needs and environment of college students. Through horizontal and vertical comparison, field research, and employment quality evaluation model, this paper deeply understands the employment level of college students. From the perspective of the evaluation results of the employment-related work of the 2020 college students, the excellent employment rate has reached 86.25%. From the perspective of the employment quality trend of graduates, the graduate employment quality score is 77.08, and the undergraduate and junior college students’ scores are 74.97 and 77.66, respectively. From the perspective of the excellent employment rate, the employment quality evaluation model proposed in this paper is helpful for the employment of college students.
Cardioprotective Activity of Cassia fistula L. Bark Extract in Isoproterenol-Induced Myocardial Infarction Rat Model
Authors: Kushwah Ajay Singh , Mittal Roopal , Kumar Manish , Kaur Gurpreet , Goel Prerna , Sharma Rahul Kumar , Kabra Atul , Nainwal Lalit Mohan
Published: August 2022

Cassia fistula Linn, generally recognized as Indian laburnum, is one of the ancient trees in the Indian subcontinent used for its ornamental and diverse medicinal properties. It is known for its ethnic medicinal uses in inflammatory and infectious pathologies such as antihelmintic, purgative, carminative, antipyretic, expectorant, analgesic, laxative, antiseptic, and antidote against snake poison. The Cassia bark is rich in anthraquinones, flavanols glycosides, and sitosterols, which renders it cardioprotective properties. The existing experiments were designed to assess the potential of Cassia fistula bark against isoproterenol (ISP)-induced cardiotoxicity in rats, which has not been validated yet. The bark was successively extracted with five different solvents, and each extract was subjected to in vitro antioxidant studies. Further acute oral toxicity assays were carried out preceding in vivo myocardial studies. Cardiotoxicity-inducing agent, ISP, was administrated to the rats for two consecutive days (8th and 9th). Based on in vitro studies, the Cassia fistula methanolic extract (CFME) was administered in two doses: CFME-LD (lower dose 250 mg/kg) and CFME-HD (high dose 500 mg/kg) separately. It was found that CFME produced a substantial decrease in lipid peroxidation and an increase in antioxidants in myocardial tissues. CFME abrogated the levels of triglyceride and total cholesterol with a decrease in alanine transaminase (ALT) and aspartate transaminase (AST) activity in serum at both doses. 2,3,5-Triphenyltetrazolium chloride (TTC) staining and histopathology also revealed the protective effects of CFME against ISP-induced myocardial infarction. The study showed the significant role of the CFME as a strong antioxidant and cardioprotective action in ISP-induced toxicity.
Inflammation Modulating Activity of the Hydroethanol Stem Bark Extract of Bombax costatum in Murine Models
Authors: Antwi-Adjei Meshack , Yeboah Kofi Oduro , Oppong-Kyekyeku James , Osafo Newman
Published: August 2022

Bombax costatum (Bombacaceae) is traditionally used as a decoction of the leaves, stem, and root to treat headaches, fever, and oedema that may be associated with inflammatory conditions. Thus, the aim of this study was to evaluate the effect of 70%v/v ethanolic extract of the stem bark of Bombax costatum on acute and chronic inflammation. The effect of Bombax costatum extract (10, 50, 100 mg kg−1, p.o) was studied in prostaglandin E2-induced paw oedema in Sprague–Dawley rats (n = 5). Subsequently, the effect of the extract on clonidine and haloperidol-induced catalepsy was also investigated in ICR mice (n = 5). Finally, the ability of the extract to inhibit chronic inflammation was studied using a rat adjuvant-induced arthritis model. Pre-emptive and therapeutic administration of the extract at all doses significantly suppressed the formation of oedema following prostaglandin E2 administration. As a measure of indirect antihistaminic effect, treatment with the extract suppressed clonidine-induced catalepsy but not haloperidol-induced catalepsy. Moreover, Bombax costatum extract significantly inhibited joint inflammation and damage following injection of complete Freund’s adjuvant. Treatment with the extract also inhibited the onset of polyarthritis; thus, suppressing the systemic spread of joint inflammation from ipsilateral limbs to contralateral limbs. In conclusion, the hydroethanol extract of the stem bark of Bombax costatum inhibits both acute and chronic inflammation.
Adoption of Blockchain Technology: Exploring the Factors Affecting Organizational Decision
Authors: Malik Saleem , Chadhar Mehmood , Chetty Madhu , Vatanasakdakul Savanid
Published: August 2022

Blockchain (BCT) is an emerging technology that promises many benefits for organizations, for instance, disintermediation, data security, data transparency, a single version of the truth, and trust among trading partners. Despite its multiple benefits, the adoption rate of BCT among organizations has not reached a significantly high level worldwide, thus requiring further research in this space. The present study addresses this issue in the Australian context. There is a knowledge gap in what specific factors, among the plethora of factors reported in the extant literature, affect the organizational adoption of BCT in Australia. To fill this gap, the study uses the qualitative interpretative research approach along with the technology-organization-environment (TOE) framework as a theoretical lens. The data was mainly drawn from the literature review and semi-structured interviews of the decision-makers and senior IT people from the BCT adopter and potential adopter organizations in Australia. According to the findings, perceived information transparency, perceived risks, organization innovativeness, organization learning capability, standards uncertainty, and competition intensity influence organizational adoption of BCT in Australia. These factors are exclusively identified in this study. The study also validates the influence of perceived benefits and perceived compatibility on BCT adoption that are reported in the past studies. Practically, these findings are helpful for the Australian government and public and private organizations to develop better policies and make informed decisions for the organizational adoption of BCT. The findings would guide decision-makers to think about the adoption of BCT strategically. The study also has theoretical implications explained in the discussion section.
A Three-Stage Game Analysis of Private Lending Rate Ceiling: Necessity, Impact, and Solution
Authors: Tao Ran , Chai Jiayue
Published: August 2022

The ceiling on private lending interest rates is a powerful financial tool to maintain financial stability and reduce usury. Especially now that peer-to-peer lending has encountered some challenges, the ceiling is an essential way to regulate this market. The purpose of this paper is to analyze the necessity and the impact of such a powerful tool and also to find the optimal solution to determine it. The paper proves the ceiling on private lending interest rates is an inevitable choice by using an evolutionary game. However, it is shown that the lowering of the ceiling on private lending interest rates will increase both the difficulty of financing for SMEs and the default rate. Two optimal solutions to the ceiling are obtained in this study, which also prevent an increase in borrowing costs.
MITD1 Deficiency Suppresses Clear Cell Renal Cell Carcinoma Growth and Migration by Inducing Ferroptosis through the TAZ/SLC7A11 Pathway
Authors: Zhang Ye , Li Yanze , Qiu Qiangmin , Chen Zhiyuan , Du Yang , Liu Xiuheng
Published: August 2022

Clear cell renal cell carcinoma (ccRCC), the major histopathological subtype of renal cancer, is sensitive to ferroptosis. MIT-domain containing protein 1 (MITD1) has been reported to play an important role in hepatocellular carcinoma, while it remains unclear whether MITD1 is involved in ccRCC. Based on available data in The Cancer Genome Atlas, we found the expression of MITD1 increased through bioinformatics analysis and high MITD1 expression suggests a poor prognosis. And we validated that MITD1 expressed significantly in ccRCC through Western blot analysis. Then, we further compared the proliferation and migration capacity of ccRCC before and after MITD1 knockdown and further explored the effect of MITD1 knockdown on ferroptosis. The results indicated that MITD1 knockdown inhibited ccRCC cell proliferation and migration and induced ferroptosis in ccRCC. Furthermore, we found and analyzed the key molecule TAZ which was involved in ferroptosis caused by MITD1 knockdown. Subsequent overexpression experiments demonstrated that MITD1 knockdown induced ferroptosis and suppressed tumor growth and migration through the TAZ/SLC7A11 pathway. In summary, our study revealed the role of MITD1 in the ferroptosis of ccRCC and provided a novel target for ccRCC treatment.
Effects of Ultrasound-Guided Stellate Ganglion Block on Postoperative Quality of Recovery in Patients Undergoing Breast Cancer Surgery: A Randomized Controlled Clinical Trial
Authors: Yang Xiuli , Wu Qixing , Wang Huan , Zhang Yuwen , Peng Xiaohui , Chen Lijian
Published: August 2022

Surgery has been the primary treatment for breast cancer. However, instant postoperative complications, such as sleep disorder and pain, dramatically impair early postoperative quality of recovery, resulting in more extended hospital stays and higher costs. Recent clinical trials indicated that stellate ganglion block (SGB) could prolong sleep time and improve sleep quality in breast cancer survivors. Moreover, during the perioperative period, SGB enhanced the recovery of gastrointestinal functions in patients with laparoscopic colorectal cancer surgery and thoracolumbar spinal surgery. Furthermore, perioperative SGB decreased intraoperative requirements for anesthetics and analgesics in patients with complex regional pain syndrome. However, information is scarce regarding the effects of SGB on postoperative quality recovery in patients with breast cancer surgery. Therefore, we investigated the effects of SGB on the postoperative quality of recovery of patients undergoing breast cancer surgery. Sixty patients who underwent an elective unilateral modified radical mastectomy were randomized into two 30-patient groups that received either an ultrasound-guided right-sided SGB with 6 ml 0.25% ropivacaine (SGB group) or no block (control group). The primary outcome was the quality of postoperative recovery 24 hours after surgery, assessed with a Chinese version of the 40-item Quality of Recovery (QoR-40) questionnaire. Secondary outcomes were intraoperative requirements of propofol and opioids, rest pain at two, four, eight, and 24 hours after surgery, patient satisfaction score, and the incidence of postoperative abdominal distension. At 24 hours after surgery, global QoR-40 scores were higher in the SGB group than in the control group. Besides, in the SGB group, patients needed less propofol, had a lower incidence of postoperative abdominal bloating, and had higher satisfaction scores. Ultrasound-guided SGB could improve the quality of postoperative recovery in patients undergoing breast cancer surgery by less intraoperatively need for propofol and better postoperative recovery of sleep and gastrointestinal function.
Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm
Authors: Ma Jian , Yan Weidong , Liu Guoqi , Xing Shiyu , Niu Siqi , Wei Tong
Published: August 2022

Deep learning has achieved good results in the crack detection of roads and bridges. However, the timber structures of ancient architecture have strong orthotropic anisotropy and complex microscopic structures, and the law of cracks development is extremely complex. The image data has a large proportion of pixels, which is obviously different from the background gray value, and there is timber grain noise, thus the existing methods cannot accurately extract the complex texture contour feature of cracks. In previous studies, we have verified that YOLO v5s is effective in crack detection in timber structures of ancient architecture. However, there are many different versions of YOLO series models. In order to find a better algorithm, this paper mainly adopts three models including YOLO v3, YOLO v4s‐mish, and YOLO v5s to detect cracks in the timber structures of ancient architecture, and compares and analyzes the advantages and disadvantages of the three models. In the comparing process, we mainly have discussed the index performance of the three models in terms of training time, loss function, recall rate, and mAP value. We have summarized and analyzed the advantages and disadvantages of the three models in cracks detection of the timber structures of ancient architecture, and concluded the comparing results of the three models in cracks detection based on experiments. We published the first picture data set of cracks in timber structures of ancient architecture, and applied YOLO model in the intelligent identification field of cracks in timber structures of ancient architecture for the first time, which opened up a new idea for the intelligent operation and maintenance of the timber structures of ancient architecture.
Application of Artificial Intelligence and Big Data Technology in Basketball Sports Training
Authors: Zhong Si
Published: August 2022

Basketball is a sport with a wide range of complicated human movements, and the ability to accurately identify these movements is critical in both competition and training. Training athletes is largely based on the subjective observations and experiences of the coaches. Artificial intelligence and big data technologies can be used to monitor athlete training. It can also assist coaches in making decisions which significantly increase the athletic ability by detecting their movements. This research work proposed a mechanism called BSTARNet which is an action recognition method for basketball sports training. The method is based on artificial neural network (ANN), and network is trained through basketball sports big data. First, this work uses the Convolution Long Short-Term Memory (ConvLSTM) unit to extract the spatiotemporal information features of basketball sports training from videos. Second, this work establishes the Attention Long Short-Term Memory (AttLSTM) unit that combines the attention mechanism with the LSTM. The unit selectively scans each location, giving more attention to the area where the action takes place. Finally, the network framework is built by improving the ordinary encoder-decoder model. After that, the spatiotemporal information contained in the video is encoded based on the Darknet network model. In the decoding stage, the AttLSTM structure is used to replace the ordinary LSTM. These units are combined to form the BSTARNet architecture. Experiments are conducted to verify the effectiveness of the proposed method applied on action recognition in basketball sports training and achieved 89.5% mAP and 95.4% accuracy.
Innovative Entrepreneurship Education of College Students Based on Synergism and Random Matrix
Authors: Lu Benyu
Published: August 2022

This paper adopts the method of synergetic theory fused with a random matrix to conduct in-depth research and analysis on the innovation and entrepreneurship education of college students, discusses the existing problems, and develops ways of college students’ entrepreneurship education from the perspective of synergetic students. The development history of entrepreneurship education of college students is explained, the development of entrepreneurship education in case institutions is introduced and the synergistic subjects of college students’ entrepreneurship education are introduced, and the necessity of carrying out college students’ entrepreneurship education is analyzed. The mechanism of cooperation mechanism of total budget management is studied from three perspectives of organizational cooperation, information cooperation, and resource cooperation respectively. From the perspective of internal and external collaborative training platforms, the idea of improving college students’ entrepreneurship education is put forward. Among them, colleges, teachers, and college students form an internal system for the development of entrepreneurship education, and the three are synergistically dependent on each other and influence each other. Then, the problems in entrepreneurship education are analyzed, including weak teachers in entrepreneurship education in colleges and universities, systematic and professional entrepreneurship education to be improved, insufficient internal drive-in entrepreneurship education in colleges and universities, and insufficient initiative of college students to participate in entrepreneurship education. Finally, the ways to solve the existing dilemmas of entrepreneurship education of college students from the perspective of synergism are proposed, including improving the initiative of college students and the atmosphere of social and cultural environment, constructing internal and external platforms for entrepreneurship education of college students, and evaluating and giving feedback to entrepreneurship education of college students so that colleges and universities can better promote and carry out entrepreneurship education.
The Epidemiology of Youth Sport-Related Shoulder Injuries: A Systematic Review
Authors: Gibson Eric S. , Cairo Alexis , Räisänen Anu M. , Kuntze Colleen , Emery Carolyn A. , Pasanen Kati
Published: August 2022

Background. Youth around the globe place their shoulders at risk for injury when participating in sports. Shoulder injuries may vary in severity, produce the potential for time-loss from sport, and result in functional disability. We sought to explore sport-related shoulder injuries in youth by identifying injury rates, risk factors, injury mechanisms, and injury prevention strategies. Methods. All relevant full-text articles were identified by searching MEDLINE, EMBASE, CINAHL, Sport Discus, and the Cochrane Controlled Trials Registry. No date restrictions were used. All full-text studies reporting original research describing sport-related shoulder injury among female and/or male youth from 5 to 18 years old were included. Results. Of 3,889 studies screened, 97 described shoulder injury in youth sports. Shoulder injuries were identified in 24 unique sports. The median seasonal prevalence of shoulder injury was 10.9% (range 1.2–28.2%). The most common injury mechanisms identified were contacted with another player, contact with the playing environment, and falling to the ground. Risk factors for shoulder injury identified were side-to-side strength imbalances, weak external rotator muscles, and scapular dyskinesia. One study evaluated a successful training strategy to prevent shoulder injuries, but two other interventions demonstrated no effect. Conclusions. Sport-related shoulder injuries are prevalent among youth athletes. Injury risk factors identified included modifiable intrinsic factors such as strength, range of motion, and training load. The most common injury mechanism was direct contact with either another person or an object in the playing environment. Innovative shoulder-specific strategies are needed to reduce shoulder injuries in this population. Trial Registration: PROSPERO ID: CRD42020189142.
Impact of Co-Administration of N-Acetylcysteine and Vitamin E on Cyclophosphamide-Induced Ovarian Toxicity in Female Rats
Authors: Raeeszadeh Mahdieh , Saleh Hosseini Seed Mohammad , Amiri Ali Akbar
Published: August 2022

Cyclophosphamide is used to treat various types of cancer. However, it can reduce ovarian function and fertility rate. The current study was done to compare the effects of N-acetylcysteine and vitamin E on cyclophosphamide-induced ovarian damage. Thirty-five rats were randomly divided into 5 groups: control (C), cyclophosphamide (CP, 200 mg/kg single dose intraperitoneally), T1 (cyclophosphamide + vitamin E at 200 mg/kg), T2 (cyclophosphamide + 200 mg/kg N-acetylcysteine), and T3 (cyclophosphamide + N-acetylcysteine and vitamin E at 200 mg/kg). The main measurements included total antioxidant capacity (TAC), glutathione peroxidase (GPx), malondialdehyde (MDA), interleukin 8 (IL-8), tumor necrosis factor-α (TNFα), follicle stimulating hormone (FSH), luteinizing hormone (LH), and estrogen (ES). Except for the C and T3 groups, the other groups lost weight. A significantly lower concentration of MDA was observed in the T3 group. However, TAC was substantially increased compared to the other groups. The level of GPx in the S group was significantly reduced compared to all groups. Proinflammatory markers (IL-8 and TNFα) reached their lowest serum level in the T3 group, with a statistically significant difference compared to that of the S group. In addition, there were no significant differences in the means of primary, secondary, and graph and atretic follicles between the T3 and C group. On the other hand, a decrease in FSH and LH was observed while an increase in ES was seen in the T3 group compared to the S group. This study revealed that N-acetylcysteine and vitamin E coadministration could significantly decrease the side effects of cyclophosphamide, especially in ovarian tissue.
Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot
Authors: Kang YeFei , Li ZhiBin , Wang Tao
Published: August 2022

The purpose is to improve the effect of substation inspection and ensure the safety of power consumption in human society. First, this work discusses the current substation inspection-oriented robot path planning situation. Then, the proportional integration differentiation (PID) control algorithm is introduced and optimized. Ant colony algorithm (ACA) is improved. The substation inspection-oriented RPP model is designed based on the PID algorithm and optimized ACA (the proposed model is denoted as the Ant-PID algorithm). Afterward, the Ant-PID algorithm is compared with the PID control algorithm and ACA. The results show that the longest robot path of the proposed Ant-PID algorithm in different data sets is about 28 m. The shortest is about 26 m, and the number of optimal solutions is maintained at about 45–49. By comparison, the average response time of the PID algorithm is about 25 s to 28 s. The shortest response time of ACA is about 24 s, the shortest average response time is about 27 s, and the longest is about 30 s. The average response time of the proposed ant PID model is about 17 s to 20 s. Therefore, the Ant-PID algorithm can improve the substation inspection robots’ path planning effect. The research results provide technical support for improving the effect of substation inspection and contribute to social power transmission.
Simultaneous Presence of Campylobacter rectus and Cnm-Positive Streptococcus mutans in the Oral Cavity Is Associated with Renal Dysfunction in IgA Nephropathy Patients: 5-Year Follow-Up Analysis
Authors: Misaki Taro , Naka Shuhei , Nagasawa Yasuyuki , Matsuoka Daiki , Ito Seigo , Nomura Ryota , Matsumoto-Nakano Michiyo , Nakano Kazuhiko
Published: August 2022

Background: The simultaneous presence of Streptococcus mutans expressing the Cnm protein encoded by cnm (i.e., cnm-positive S. mutans) and Campylobacter rectus in the oral cavity has been associated with proteinuria in patients with IgA nephropathy (IgAN). Objectives: The present study evaluated the relationship between renal function and oral bacteria in patients with IgAN over 5 years of follow-up. Methods: The presence of C. rectus and cnm-positive S. mutans in saliva samples of 117 patients with IgAN was initially evaluated by polymerase chain reaction. Patients were then divided into four groups according to the results of C. rectus and cnm-positive S. mutans detection: group A: C. rectus (−), cnm-positive S. mutans (−); group B: C. rectus (+), cnm-positive S. mutans (−); group C: C. rectus (−), cnm-positive S. mutans (+); and group D: C. rectus (+), cnm-positive S. mutans (+). Clinical characteristics were prospectively followed for 5 years. Results: Serum creatinine levels were significantly higher in group D than in group A over 5 years of follow-up. Additionally, the proportion of patients with an estimated glomerular filtration rate <45 mL/min increased over time; it was significantly greater in group D than in group A over 5 years of follow-up. Conclusion: These results suggest that the simultaneous presence of C. rectus and cnm-positive S. mutans in the oral cavity is associated with renal dysfunction in IgAN patients.
Communicating Precision Medicine Research: Multidisciplinary Teams and Diverse Communities
Authors: Beans Julie A. , Trinidad Susan B. , Blacksher Erika , Hiratsuka Vanessa Y. , Spicer Paul , Woodahl Erica L. , Boyer Bert B. , Lewis Jr. Cecil M. , Gaffney Patrick M. , Garrison Nanibaa’ A. , Burke Wylie
Published: August 2022

Introduction: Precision medicine research investigates the differences in individuals’ genetics, environment, and lifestyle to tailor health prevention and treatment options as part of an emerging model of health care delivery. Advancing precision medicine research will require effective communication across a wide range of scientific and health care disciplines and with research participants who represent diverse segments of the population. Methods: A multidisciplinary group convened over the course of a year and developed precision medicine research case examples to facilitate precision medicine research discussions with communities. Results: A shared definition of precision medicine research as well as six case examples of precision medicine research involving genetic risk, pharmacogenetics, epigenetics, the microbiome, mobile health, and electronic health records were developed. Discussion/Conclusion: The precision medicine research definition and case examples can be used as planning tools to establish a shared understanding of the scope of precision medicine research across multidisciplinary teams and with the diverse communities in which precision medicine research will take place. This shared understanding is vital for successful and equitable progress in precision medicine.
Mortality, Causes of Death, and Predictors of Death among Patients On and Off Opioid Agonist Treatment: Results from a 19-Year Cohort Study
Authors: Skeie Ivar , Clausen Thomas , Hjemsæter Arne Jan , Landheim Anne Signe , Monsbakken Bent , Thoresen Magne , Waal Helge
Published: August 2022

Background: Mortality is increased among people with opioid use disorder but reduced while on opioid agonist treatment (OAT). However, the impact of patient and treatment characteristics on mortality and causes of death is insufficiently studied. Objectives: The objective of this study was to explore mortality and causes of death and examine the impact of patient and treatment characteristics on mortality in an OAT cohort with high retention in treatment. Methods: Design: longitudinal cohort study. Setting: Norway. Observation period: time from OAT start as of 1998 until death or end of 2016, 2,508 person-years (PY) in total. Sample: 200 persons starting OAT 1998–2007. Data sources: hospital records, interviews, the Norwegian Cause of Death Registry, Statistics Norway. Results: Retention: 86.4% of the observation period was on OAT, 9.0% off, 4.6% unknown OAT status. All-cause crude mortality rate per 100 PY during the whole observation period was 1.64 (95% CI: 1.19–2.20), for deaths of somatic cause 0.88 (0.56–1.31), for drug-induced deaths 0.44 (0.23–0.76), and traumatic deaths 0.24 (0.10–0.50). Off-versus-on-OAT all-cause mortality ratio was 2.31 (1.00–4.85). On OAT, 58% of the deaths were of somatic cause and 21% drug-induced; off OAT, 38% of somatic cause and 50% drug-induced. Increasing baseline age and rate of somatic hospital treatment episodes were independently associated with increased all-cause mortality risk, while increasing rate of in-patient psychiatric treatment episodes was associated with reduced risk. Increasing duration of nicotine and cannabis use and alcohol dependence as well as increasing severity of polydrug use were associated with increased all-cause and somatic mortality adjusted for age and sex. Conclusion: The long observation period made it possible to demonstrate the importance of long-term retention in OAT to reduce mortality. Further, the preponderance of somatic and reduction of drug-induced causes of death during OAT underlines the need for follow-up of chronic diseases and health-promoting lifestyle changes. These findings add to the knowledge about long-term OAT effects, not least in ageing OAT populations.
Treatment Experiences with Intravenous Immunoglobulins, Ixekizumab, Dupilumab, and Anakinra in Netherton Syndrome: A Case Series
Authors: Ragamin Aviël , Nouwen Anouk E.M. , Dalm Virgil A.S.H. , van Mierlo Minke M.F. , Lincke Carsten R. , Pasmans Suzanne G.M.A.
Published: August 2022

Background: Netherton syndrome (NS) is a rare potential life-threatening disorder that causes severe defects to the skin barrier. No effective treatment options are available for patients with NS and current therapy is mostly supportive. The effects of intravenous immunoglobulins (IVIGs), ixekizumab, and dupilumab have scarcely been reported. Additionally, the role of anakinra in patients with NS has never been investigated. Objectives: The objective was to report our experiences of treatment with IVIG, ixekizumab, dupi­lumab, and anakinra in patients with NS. Methods: A retrospective case series, including 5 patients with NS, was performed in a tertiary referral hospital between 2016 and 2021. Patients were treated with IVIG, ixekizumab, dupilumab, and/or anakinra. Long-term experiences with treatment regimens and adverse events requiring medical attention were reported. Results: IVIG, ixekizumab, dupilumab, and anakinra were well tolerated with no severe adverse events. The 2 patients that received IVIG showed clinical response for 6 months and 2.5 years. Ixekizumab was effective in 1 of our patients for 3.5 years, while in another patient ixekizumab lost its effect after 1.5 years. Dupilumab treatment did not result in persistent improvement of NS-related skin symptoms in 1 patient. Anakinra showed physician-assessed clinical response during the first months of treatment in 4 patients with NS. During anakinra treatment, no changes in blood levels of IL-1β, IL-6, and TNF-α levels were measured at routine blood examinations. Conclusions: This case series suggests that the use of IVIG, ixekizumab, dupilumab, and anakinra in NS is safe and moderately effective on the short term. On the long term, a decline in effect was observed. Our experiences may help clinicians and researchers to provide adequate care and develop treatment for these severely affected patients. More international research, especially on the long term, is needed to determine if and which patients benefit most from the emerging therapies for NS.