bluuebunny/crossref_metadata_2025 huggingface dataset:
DRT-Unet: A Segmentation Network for Aiding Brain Tumor Diagnosis
Authors: Li Shujing , Li Linguo
Published: September 2022

Using image segmentation techniques to assist physicians in brain tumor diagnosis is a hot issue in computer technology research. Although most brain tumor segmentation networks to date have been based on U-Net, the prediction results are depending on which are not well generalized and need to be further improved. As the depth of the network increases, the gradients of the network vanish together with the decrease of the accuracy; meanwhile, the large number of parameters in the network will cause data redundancy. Moreover, a single modality of MRI images cannot adequately segment tumor details. Therefore, a segmentation network with an improved U-Net model is proposed in this paper, which combines Dilated Convolution-Dense Block-Transformation Convolution-Unet (hereafter referred to as DRT-Unet). The network adopts the combination of dilated convolution, dense residual block, and transposed convolution. In the coding process, a dilated convolution block and a local feature residual for fusing dense block are adopted to replace the 3 × 3 convolution layers on each layer in U-Net, and a transition layer is used for down-sampling. In the decoding process, a local feature residual is adopted for fusing dense blocks; meanwhile, a deconvolution structure with up-pooling and transposed convolution cascade is used. By connecting the decoded output features with the encoded low-level visual features, the information on transition layer loss is obtained. The experiments in this paper are carried out on BraTs2018 and BraTs2019 datasets; as a result, the DRT-Unet network can effectively segment tumor lesion regions.
Effect of Friction Stir Welding on the Mechanical and Microstructural Behaviour of AA7075 Aluminium Alloy
Authors: Mahesha C. R. , Suprabha R. , Kumar Nellore Manoj , Kosanam Koushik , Anandaram Harishchander , Ramana Murty Naidu S. C. V. , Kalyan Chakravarthi M. , Govindarajan Venkatesan
Published: September 2022

In this research work, an attempt was made to weld AA7075 alloy using the friction stir welding (FSW) technique. The experimental runs were designed using the Taguchi L18 orthogonal array and welds were obtained by varying tilt angle, tool rotation speed, tool feed rate, and axial load, whereas weld quality was accessed in terms of tensile strength and microhardness. The microstructure was examined using an optical microscope. The studies revealed that the tool angle was the most influential factor followed by the tool feed rate as both the parameters impacted the intensity of heat developed. It was observed that the tool tilt decreased the microhardness of the welds. The UTS values and macrostructure imply that the weld should be subjected to higher tool torque conditions. The material flow was not periodic nor coordinated, as seen by the tool-tilted weld's macrostructure. With a tool tilt, the weld pressure is lowered, and the lower pressure could not be enough to prevent volumetric defects. The reduced pressure at quicker welding rates may have had an effect on the development of flaws.
Disciplinary Construction of Chinese Language and Literature Resources Integrating Fuzzy Mathematics
Authors: Li Yanli , Li Yun
Published: September 2022

The development of a country’s language and literature is the orientation of the country’s spiritual strength, and it is also the embodiment of the national literary quality. Chinese language and literature has a very long history of development, the content of which is broad and deep, and there are countless literary works. It is impossible for one person to fully understand these works after spending his entire life. As a result, these literary resources are optimized and constructed and classified into various disciplinary contents, so that students can systematically learn literary knowledge according to their own interests. Therefore, this paper conducts a disciplinary analysis of the construction of Chinese language and literature resources by integrating the method of fuzzy mathematics. Through the study of fuzzy mathematics, the method of fuzzy cluster analysis is proposed to classify Chinese language and literature resources, and the method of fuzzy comprehensive evaluation is used to evaluate the contents of various subjects. This paper selected the richness of subject content, faculty strength, talent demand, and subject difficulty as evaluation indicators. By comparing the scores of various discipline indicators before and after resource optimization, the results showed that using fuzzy cluster analysis, disciplines 1 and 2 were popular disciplines. Disciplines 4 and 5 were general disciplines, and disciplines 3 and 4 were unpopular disciplines. Using the fuzzy comprehensive average, the comprehensive scores of the six disciplines were 84, 79, 80, 82, 83, and 75, respectively. The quality of resource construction in these disciplines was high. In addition, the scores given by experts were all above 70 points, with an average score of about 83 points. It showed that the method of using fuzzy mathematics to construct Chinese language and literature resources has achieved good results, and the results obtained by using the method of disciplinary analysis were reliable and feasible.
A Neural Network Model for the Relationship between Hotel Marketing Strategies and Performance Based on Nonlinear Random Matrix Theory
Authors: Chen Lifang
Published: September 2022

The homogenization of hotel competition has become a key problem faced by the hotel enterprises. According to the marketing theory, one perfect marketing strategy will improve hotel performance. Based on nonlinear random matrix and neural network model, this paper empirically analyzes the relationship between different marketing strategies and hotel performance from the aspects of hotel demand collection, strategy support, performance matching, and strategy regulation. The results show that the hotel performance based on product marketing strategies is the best, which has improving hotel performance about 5%. In contrast, the hotel performance based on people-oriented marketing strategies is the worst. Therefore, we believe that the hotel enterprises should pay attention to the adjustment of product structure and the role of people in hotel operation and management. Adjusting product structure, strengthening hotel information construction, and paying attention to talent cultivation play an important role in improving hotel performance, in order to provide useful reference for the development of other hotels.
Research and Implementation of Text Generation Based on Text Augmentation and Knowledge Understanding
Authors: Liu Lei , Sun Yeguo , Liu Yihong , Roxas Rachel Edita O. , Raga Rodolfo C.
Published: September 2022

Text generation has always been limited by the lack of corpus data required for language model (LM) training and the low quality of the generated text. Researchers have proposed some solutions, but these solutions are often complex and will greatly increase the consumption of computing resources. Referring to the current main solutions, this paper proposes a lightweight language model (EDA-BoB) based on text augmentation technology and knowledge understanding mechanism. Experiments show that the EDA-BoB model cannot only expand the scale of the training data set but also ensure the data quality at the cost of consuming little computing resources. Moreover, our model is shown to combine the contextual semantics of sentences to generate rich and accurate texts.
A Hybrid Approach for Identification of Deficiencies in Enterprise Internal Control
Authors: Huang Zhihua
Published: September 2022

Enterprise management and internal control are used to prevent and control risks and promote enterprises to achieve development strategy. This paper adopts comprehensive multidisciplinary research method to study the basic theory of prediction of major defects in enterprise internal control. Firstly, this paper proposes the prediction index system and sample selection standard of internal control major defects. Totally, 630 listed company and 12 indicators are collected and then use the random forest classification method based on principal component analysis. The parameters of random forest are optimized by genetic algorithm. Finally, the prediction model of major internal control defects of listed companies is established. The experimental results show that the average score of PCA-RF model in TPR value reaches 85%, which is nearly 20% higher than the 65% of RF model, proving that the PCA and GA can significantly improve the classification accuracy of ST Company and has important practical significance. Therefore, the proposed method system can reasonably solve the prediction problem of major defects in internal control.
The Dyadic Effects of Self-Efficacy on Quality of Life in Advanced Cancer Patient and Family Caregiver Dyads: The Mediating Role of Benefit Finding, Anxiety, and Depression
Authors: Cao Qian , Gong Jiali , Chen Meizhen , Lin Yi , Li Qiuping
Published: September 2022

Objectives. To explore the dyadic interdependence of self-efficacy, benefit finding, anxiety, depression, and QOL in cancer patient (CP) and family caregiver (FC) dyads, and to ascertain the dyadic effects of self-efficacy on quality of life (QOL) in CP-FC dyads. Methods. Conducted from November 2014 to December 2015, participants comprised 772 CP-FC dyads. The study surveyed participant characteristics, self-efficacy, benefit finding, anxiety, depression, and QOL. Data were analyzed using Pearson’s correlation, T-test, and actor-partner interdependence mediation model (APIMeM). Results. CPs’ self-efficacy was positively correlated with both their own and FCs’ benefit finding and mental component summary (MCS), and negatively associated with anxiety and depression (all Ps < 0.01, |r| = 0.144∼0.432). However, CPs’ self-efficacy was only positively correlated with their own physical component summary (PCS) (r = 0.193), but not FCs’ PCS. The same profile was identified in FCs’ self-efficacy (all Ps < 0.01, |r| = 0.100∼0.468). FCs reported higher levels of self-efficacy and PCS compared to CPs (both Ps < 0.001). Significant positive correlations (r = 0.168–0.437) were identified among all paired variables in CP-FC dyads (all Ps < 0.001). To some extent, dyads’ self-efficacy influences dyads’ MCS and PCS through improving positive emotions (benefit finding) and relieving negative emotions (anxiety and depression). Conclusions. Study findings not only support the dyadic interdependence of self-efficacy, benefit finding, anxiety, depression, and QOL in CP-FC dyads but confirm the hypothesis that dyads’ self-efficacy may impact their MCS/PCS via an indirect approach to improve benefit finding and relieve anxiety and/or depression in CP-FC dyads.
Tacrolimus Concentration Is Effectively Predicted Using Combined Clinical and Genetic Factors in the Perioperative Period of Kidney Transplantation and Associated with Acute Rejection
Authors: Cheng Fang , Li Qiang , Cui Zheng , Wang Zhendi , Zeng Fang , Zhang Yu
Published: September 2022

Background. Tacrolimus has unpredictable pharmacokinetic (PK) characteristics, which are partially attributed to CYP3A5 polymorphism. The potential effects of clinical factors in the postoperative period of transplantation on tacrolimus PK and those of early tacrolimus PK variability on clinical outcomes are yet to be clarified. Methods. We examined the genetic and clinical factors affecting early tacrolimus PK variability in 256 kidney transplant recipients. The relationships among tacrolimus exposure, graft function delay (DGF), and acute rejection (AR) were further explored. Findings. The CYP3A5 genotype were strongly associated with tacrolimus concentration/dose ratio (

C

0

/
D

). Additionally, ABCB1 (rs1045642 and rs2032582) and ABCC2 (rs3740066) were found to have potential independent effects on early tacrolimus

C

0

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D

in multivariate analysis. Red blood counts and albumin level were the most significant clinical factors associated with tacrolimus

C

0

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D

. Wuzhi capsule also exerted an effect on tacrolimus PK. A model combined with pharmacogenetic and clinical factors explained 43.4% tacrolimus PK variability compared with 16.3% on the basis of CYP3A5 genotype only. Notably, increasing tacrolimus concentrations in the early postoperative stage were associated with AR, but not DGF. Conclusions. Combined analysis of genotype and specific clinical factors is important for the formulation of precise tacrolimus dose regimens in the early stage after kidney transplantation.
The Analysis and Research on the Influence of Sports Industry Development on Economic Development
Authors: Li Miaomiao , Shi Yongfei , Peng Bo
Published: September 2022

The rapid development of social economy will promote the development of sports industry and then have an impact on sports economy. By using the regression analysis method, this paper compares the influencing factors of sports industry development, aiming at exploring the influence of sports industry development on economic development and its future development trend. This paper takes 12 industries of sports industry development from January 2020 to January 2022 as research objects, compares the development of sports industry of different research objects, and determines the factors affecting sports industry. We compare the promotion of different factors to sports economy and provide support for the formulation of sports industry development measures. The results show that economic growth, sports industry types, the degree of integration between sports industry and economic development, sports industry action time, and sports industry scale are the main factors affecting sports industry and promote the development of sports economy. The above indexes can improve the economic level of sports industry, and the improvement degree is about 10∼20%. Therefore, local governments and sports organizations should formulate measures to promote the economic development of sports industry from the aspects of economic growth, sports industry types, integration degree between sports industry and economic development, action time of sports industry, and scale of sports industry.
Construction and Application of a New Metal Random Matrix-Based Theory in a Numerical Phantom of the Metaverse NFT
Authors: wang Huan
Published: September 2022

As the metaverse is hot, nonhomogenized tokens (NFT) as digital artwork identifiers present different characteristics and application values from other homogenized tokens, and their use for copyright verification will suffer from the problems of storage space limitation and data verification reliance on database, this study designs an NFT digital copyright authentication model for textual works. To cater for the uncontrollability of conventional Hash algorithms in stream matching due to the high conflict rate, a new random matrix theory is applied to propose a new Hash algorithm, which is used on the block structure of NFT credential authentication, while extending the block structure so that the data within the work is completely stored in the blockchain with NFT as the credential, allowing the database to store the work data in a relatively safe manner. The verification of the work data has the immutability and unique cryptographic solution of NFT. The NFT-based digital model collects TR information and conducts 30 tests, and the average test time for generating blocks is 0.53 s. Through the block query for detection, 248,655 words have exceeded the number of words of an article, and the consumption time is only 0.23s, to meet the customer's real-time query requirements for the system. According to the overhead ratio, the record storage expenditure is about 2-3 times of the text storage expenditure, the work storage expenditure, and the storage expenditure for storing 240,000 words for authentication is about 3720 KB.
Proximate Composition, Physicochemical, and Lipids Profiling and Elemental Profiling of Rapeseed (Brassica napus L.) and Sunflower (Helianthus annuus L.) Grown in Morocco
Authors: Gagour Jamila , Ahmed Moussa Nid , Bouzid Hasna Ait , Oubannin Samira , Bijla Laila , Ibourki Mohamed , Hajib Ahmed , Koubachi Jamal , Harhar Hicham , Gharby Saïd
Published: September 2022

We investigate and compare the nutritional and physicochemical properties of rapeseed and sunflower grown in Morocco. In order to examine a complete physicochemical characterization, various parameters such as mineral profile, fatty acid composition, sterols contents, total flavonoids content (TFC), total polyphenols content (TPC), and quality oil parameters were evaluated. The results showed a relatively small difference in the physicochemical composition of the seeds, as sunflower seeds recorded higher amounts of protein and oil content (22.98 ± 0.01 g/100 g and 41.30 ± 0.50 g/100 g) than rapeseed (22.98 ± 0.01 and 38.80 ± 0.50), while mineral elements profile was observed to be statistically different. Nevertheless, both seeds were rich in K, Ca, P, Mg, and Na and they were relatively poor in Na, Fe, Mn, Cu, and Zn. The most represented macroelement was K with the amount of 7936.53 ± 63.87 mg/Kg in rapeseed and 7739.22 ± 59.50 mg/Kg in sunflower. On the other hand, Cu was present in the analyzed samples the least, mostly below 20 mg/kg. For TPC and TFC, the sunflower recorded higher values (49.73 ± 0.50 and 25.37 ± 0.39 mg GAE/g) than rapeseed (38.49 ± 0.24 and 22.55 ± 1.76 mg QE/g). The fatty acid composition showed that both extracted oils have beneficial proprieties, as they are rich in unsaturated fatty acids; namely, rapeseed oil contains a high level of oleic acid (C18 : 1) (62.19%), while sunflower oil was richer in linoleic acid (C18 : 2) (55.7%). As a result, we conclude that the studied varieties have major importance in terms of both nutritional and seed improvement potentials.
Characteristic of Molecular Subtypes in Lung Squamous Cell Carcinoma Based on Autophagy-Related Genes and Tumor Microenvironment Infiltration
Authors: Wang Jinjie , Zhu Jiaqi , Tang Yijie , Zhang Anping , Zhou Tingting , Zhou Youlang , Shi Jiahai
Published: September 2022

Background. Recently, a large number of studies have sought personalized treatment for lung squamous cell carcinoma (LUSC) by dividing patients into different molecular subtypes. Autophagy plays an important role in maintaining the tumor microenvironment and immune-related biological processes. However, the molecular subtypes mediated by autophagy in LUSC are not clear. Methods. Based on 490 LUSC samples, we systematically analyzed the molecular subtype modification patterns mediated by autophagy-related genes. The ssGSEA and CIBERSORT algorithm were utilized to quantify the relative abundance of TME cell infiltration. Principal component analysis was used to construct autophagy prognostic score (APS) model. Results. We identified three autophagy subtypes in LUSC, and their clinical outcomes and TME cell infiltration had significant heterogeneity. Cluster A was rich in immune cell infiltration. The enrichment of EMT stromal pathways and immune checkpoint molecules were significantly enhanced, which may lead to its immunosuppression. Cluster B was characterized by relative immunosuppression and relative stromal activation. Cluster C was activated in biological processes related to repair. Patients with high APS were significantly positively correlated with TME stromal activity and poor survival. Meanwhile, high APS showed an advantage in response to anti-PD1 and anti-CTLA4 immunotherapy. Conclusion. This study explored the autophagy molecular subtypes in LUSC. We also discovered the heterogeneity of TME cell infiltration driven by autophagy-related genes. The established APS model is of great significance for evaluating the prognosis of LUSC patients, the infiltration of TME cells, and the effect of immunotherapy.
Application Effect of Silver-Containing Dressings in the Repair of Chronic Refractory Wounds
Authors: Wang Rui , Guo Yuan , Li Bao , Zheng Jingjing , Tang Zhishui , Shu Maoguo
Published: September 2022

Chronic refractory wounds have complicated pathogenesis, repeatedly prolonged course of disease, high difficulty in cure, and may even endanger life due to the spread of wound infection. Silver ion dressing is a new type of dressing applied clinically in recent years. It can prevent infection and promote wound healing by releasing a low level of active silver ions into wound fluid or secretion. Some scholars have found that silver ion dressings can promote the healing of refractory wounds. In this study, 80 cases of chronic refractory wounds treated in our department from June 2019 to January 2022 were selected as the research subjects and the effect of silver ion dressing coverage on the repair of chronic refractory wounds after debridement was explored.
Optimization of Color Enhancement Processing for Plane Images Based on Computer Vision
Authors: Jiao Yarong
Published: September 2022

As the main carrier of information transmission, plane images play an important role in the current network era. In order to enhance the color of the plane image, optimize the image effect, and solve the problem of image distortion with large color difference, a color enhancement processing optimization method is proposed based on the technical support of computer vision. According to computer vision theory, a computer vision model for adjusting perceived color and brightness is constructed. Combining it with the bilateral filtering algorithm, a color enhancement processing optimization model is obtained, which consists of three main stages: illumination information parameter estimation and image color correction, reflection coefficient parameter estimation and image color correction, and adaptive filtering. By estimating illumination information parameters and reflection coefficient parameters, the secondary gamma correction of image color is realized. After being processed by the bilateral filtering algorithm, the final optimized image is obtained. Verified by the subjective and objective evaluation results, the positive correlation index values of this method are all high, 8.0246, 16.4526, 0.9037, and 15.0246, respectively, and the negative correlation index value is low, 49.4169. It is proved that the proposed method can effectively suppress the halo and artifacts and obtain the image color quality that satisfies the visual perception. It not only enhances the image color but also retains the details to the greatest extent.
[Retracted] The Theory of Planned Behavior for the Improvement of the Delayed Blood Donation Cycle, Optimization of the Planning Behavior, and Donor Intention
Authors: Huang MinChuan , Chen IPing , Chung ShuYing
Published: September 2022

The advances in the technology applied to the health field lead the medical system to be optimized and the medical equipment and drugs to be improved, and the benefits can be seen in the prolonged human lifetime. The increased age and the lifestyle, however, increase the demand of blood for medical procedures and to save lives. The average age of blood donors has gradually increased, the number of new blood donors has grown slowly, and the allocation of blood supply and inventory is complex and many times cannot be improved. The low increase in blood donor number is a concern that needs to be overcome. Here, the theory of planned behavior was used as a tool to analyze the motivation, intention, and behavior of blood donors. The theory of planned behavior was applied in the form of questionnaires to college students. The results indicated that participation on the research motivates and educates the participants to donate blood, encourages the behavior of relatives, and leads the participants to realize the altruistic and mutually beneficial outlook on blood donation. The results also indicated the awareness of the students with respect to the importance of blood donation and that it can be an important tool in order to educate and increase the young blood donor number.
In Vitro Synergistic Inhibitory Activity of Natural Alkaloid Berberine Combined with Azithromycin against Alginate Production by Pseudomonas aeruginosa PAO1
Authors: Zhao Zhijing , Guo Mengyu , Xu Xiaona , Hu Yue , Liu Dongmei , Wang Chunxia , Liu Xinwei , Li Yongwei
Published: September 2022

Background. Berberine (BER) is a natural isoquinoline alkaloid which extensively been applied to treat bacterial infection in TCM for a long time. Alginate is an important component of Pseudomonas aeruginosa biofilm. Herein, we investigated the effects of berberine and azithromycin (AZM) on alginate in the biofilm of P. aeruginosa PAO1. Methods. The MIC and synergistic activity of BER and AZM against PAO1 were determined using the micro broth dilution and checkerboard titration methods, respectively. The effect of BER on PAO1 growth was evaluated using a time-kill assay. Moreover, the effects of BER, AZM, and a combination of both on PAO1 biofilm formation, kinesis, and virulence factor expression were evaluated at subinhibitory concentrations. The alginate content in the biofilm was detected using ELISA, and the relative expression of alginate formation-related genes algD, algR, and algG was detected by qRT-PCR. Results. Simultaneous administration of berberine significantly reduced the MIC of azithromycin, and berberine at a certain concentration inhibited PAO1 growth. Moreover, combined berberine and azithromycin had synergistic effects against PAO1, significantly reducing biofilm formation, swarming, and twitching motility, and the production of virulence factors. The relative expression of alginate-related regulatory genes algG, algD, and algR of the combined treatment group was significantly lower than that of the control group. Conclusion. In summary, berberine and azithromycin in combination had a significant synergistic effect on the inhibition of alginate production by P. aeruginosa. Further molecular studies are in great need to reveal the mechanisms underlying the synergistic activity between berberine and azithromycin.
[Retracted] Effect of Aerobic Exercise on Liver Tissue in Rats with NAFLD
Authors: Li Li , Liu Ruichen , Niu Mengfan , Zhou Tongxi
Published: September 2022

Objective. To observe the improvement effect of aerobic exercise on liver tissue of rats with NAFLD, explore whether it can reduce NAFLD symptoms without drug dependence, and provide certain data support for the relief of NAFLD by aerobic exercise. Methods. 40 healthful male SD rats have been divided into ordinary diet and high‐fat diet. To observe whether the molding is forming after 6 weeks, then divide the rats into control (C), model (M), and exercise (E) group. E group received 8‐week aerobic exercise intervention. Serum and liver samples were taken and analyzed after the last intervention. Results. The morphological of hepatocytes between C and M group becomes different, and the accumulation of fat and inflammatory cells was significant, suggesting that NAFLD symptoms appeared, that is, the model was successfully established. Compared with M group, the morphology of rats in E group was improved in varying degrees. The quantity of ALT, AST, and MDA of rats in M group is increased, and the SOD activity is significantly reduced (P < 0.01). However, aerobic exercise intervention changed those result (P < 0.01). Conclusions. Aerobic exercise can relieve oxidative stress damage, lipid peroxidation levels, and chronic inflammatory status in rats with NAFLD, which can reduce NAFLD symptoms without drug dependence, and is expected to become a means of NAFLD treatment.
Performance of Rejuvenated Asphalt and Mixtures with Waste Engine Oil Bottom and Liquid Styrene-Butadiene Rubber
Authors: Zhou Gang , Tian Yi , Gong Liang , Pang Zhansheng , Chen Tianquan
Published: September 2022

To address the inadequate performance of rejuvenated asphalt when waste engine oil bottom (WEOB) is used as an asphalt rejuvenator, liquid styrene-butadiene rubber (liquid SBR) was used to enhance the performance of WEOB-rejuvenated asphalt. By testing the basic physical properties of asphalt and using the high- and low-temperature rheology, differential scanning calorimetry, Fourier infrared spectroscopy, and atomic force microscopy (AFM) tests, the index and microstructure changes of asphalt before and after aging and regeneration, from macrolevels and microlevels, were studied, along with the high- and low-temperature performance and water stability of the rejuvenated asphalt mixture. The WEOB decreased the glass transition temperature and low-temperature performance grade of aged asphalt and resulted in a significant effect on the recovery of penetration and softening point of aged asphalt; however, the recovery of low-temperature ductility was inadequate. Compared with WEOB, a rejuvenator comprising WEOB and liquid SBR (WEOB-S) further decreased the glass transition and continuous grading temperatures of aged asphalt, improved its low-temperature performance, and significantly influenced its ductility recovery. The AFM test showed that WEOB-S effectively dispersed the agglomerated bee-like wax crystals or macromolecular asphaltene structures in the aged asphalt, decreased the number and crests of the bee-like structures, and improved the microscopic uniformity, thus obtaining better macroscopic physical properties. Both WEOB and WEOB-S improved the low-temperature performance and water stability of rejuvenated asphalt mixtures; however, WEOB-S was more effective.
Multi-Time Scale Rolling Optimization Scheduling of “Nealy-Zero Carbon Park” Based on Stepped Carbon Allowance Trading
Authors: Zhang Tieyan , Yao Zongjun , Hu Jingwei , Huang Jinfeng
Published: September 2022

Aiming at the self-government capacity and multi-time scale energy regulation requirements of “Nearly-zero Carbon Park” (NZCP) under the background of “dual carbon goals” and energy Internet, a day-ahead-intraday rolling optimization scheduling method for NZCP based on stepped carbon allowance trading is proposed. First, the energy supply and demand characteristics of liquid-storage Carbon Capture Gas-fired Power Plants (CCGPP) and Power-to-Gas (P2G) equipment are studied, and a combined system model of CCGPP and P2G is established that takes into account the low-carbon emission requirements of NZCP, and waste pyrolysis power generation facilities and manure treatment facilities are introduced to form a Waste Utilization system (WU) to provide energy support for the power grid and gas network. Second, the carbon allowance offset and low-carbon benefit gains of NZCP are considered, a compensation coefficient is introduced to guide the low-carbon behavior of carbon emitters, and a ladder carbon allowance trading model is established. Then, the influence of the source-load prediction error on the optimal scheduling at different time scales is considered, and a two-stage unit output plan is established. Then, the influence of the source-load prediction error on the optimal scheduling at different time scales is considered, and a two-stage unit output adjustment plan is established. The calculation example results verify that the proposed day-ahead-intraday rolling optimization scheduling model for NZCP can effectively reduce system carbon emissions while reducing system operating costs, and the efficient integration of economic and environmental benefits is achieved.
Misconceptions Drive COVID-19 Vaccine Hesistancy in Individuals with Inflammatory Bowel Disease
Authors: Zhang Eva , Gupta Arun , Al-Ani Aysha , Macrae Finlay A. , Leong Rupert W. , Christensen Britt
Published: September 2022

Background. Vaccination is an effective public health measure to combat the SARS-CoV-2 pandemic. However, vaccine “hesitancy” has limited uptake in some, including inflammatory bowel disease (IBD) patients who may have unique concerns influencing uptake. Aim. The aim of the study is to explore attitudes, concerns, and the influence of different sources of information on COVID-19 vaccine uptake in IBD patients. Methods. Patients from a specialist IBD clinic at a tertiary hospital in Australia and a national IBD patient society were invited to complete an anonymous online survey regarding COVID-19 vaccination. Demographic characteristics, attitudes towards vaccination, and trust in sources of information were explored. Logistic regression was used to identify variables associated with vaccine uptake. Results. Of 441 respondents, 93% of respondents had received at least 1 dose of COVID-19 vaccination. Self-perceived risk of being more unwell with COVID-19 infection due to IBD (AOR 5.25, 95% CI 1.96–14.04,p<0.001) was positively associated with vaccine uptake. Concerns regarding the safety of vaccination in pregnancy (OR 0.22, 95% CI 0.08–0.65,p=0.006) and of causing an IBD flare (OR 0.28, 95% CI 0.10–0.77,p=0.01) were negatively associated with vaccine uptake. In total, 282 (73.7%) responders ranked healthcare workers the most trusted source to obtain information surrounding vaccination. Conclusion. Vaccine hesitancy in IBD patients is low. Concerns about the safety of vaccination in pregnancy and in causing an IBD flare are both associated with vaccine hesitancy. Healthcare providers play a key role in proactively addressing these misconceptions particularly in the context of emerging virus variants and the availability of boosters.
Performance Optimization Model of Molecular Dynamics Simulation Based on Machine Learning and Data Mining Algorithm
Authors: Chen Kaifeng , Zeng Kunrong
Published: September 2022

Molecular dynamics simulation is an effective method for related research in the microscopic world, mainly related to molecular atomic research, and it has a wide range of applications in physics, medicine, and other disciplines. Meanwhile, with the expansion of data to be studied, the performance of molecular dynamics simulation in terms of calculation speed and other aspects can no longer fully meet the needs of today’s data analysis and calculation. On the basis of the original method, parallel calculation and optimization improvement of the method have become the focus of researchers. This paper will use machine learning (ML) and data mining algorithms to optimize the performance of molecular dynamics simulation and use Restricted Boltzmann Machines (RBM) and K-Nearest Neighbors (KNN) in the molecular dynamics simulation system. Through the parallel optimization experiment of KNN, the effectiveness of KNN optimization is obtained, and finally the molecular dynamics simulation optimization experiment is designed. Through comparative analysis with the simulation system before optimization, it is concluded that when the number of particles is 4096, the efficiency ratio of force calculation running time is the highest of 31.15%. When the number of particles is 512, the running time efficiency ratio of the motion trajectory equation is up to 30.28%. When the number of particles is 256, the efficiency ratio of running time tending to balance judgment is the highest of 36.96%. All the results show that the performance of the optimized simulation system has been improved. The experimental results are in line with expectations.
Cloud-Based English Multimedia for Universities Test Questions Modeling and Applications
Authors: Wu Yanping , Zheng Changlong , Xie Lele , Hao Meihui
Published: September 2022

This study constructs a cloud computing-based college English multimedia test question modeling and application through an in-depth study of cloud computing and college English multimedia test questions. The emergence of cloud computing technology undoubtedly provides a new and ideal method to solve test data and paper management problems. This study analyzes the advantages of the Hadoop computing platform and MapReduce computing model and builds a distributed computing platform based on Hadoop using universities’ existing hardware and software resources. The study analyzes the advantages of the Hadoop computing platform and the MapReduce computing model. The UML model of the system is given, the system is implemented, the system is tested functionally, and the results of the analysis are given. Multimedia is the critical link to realizing the optimization of English test questions. The proper use of multimedia test questions will undoubtedly become an inevitable trend in the development of English test questions in the future, which requires every worker on the education front to continuously analyze and study the problems arising from multimedia teaching, summarize the experience of multimedia teaching, and explore new methods of multimedia teaching, so that multimedia teaching can better promote the optimization of English test questions in colleges and universities and better serve the education teaching.
A Novel Dynamic Capacity Expansion Framework Includes Renewable Energy Sources for an Electric Vehicle Charging Station
Authors: Geetha T. S. , Amudha V. , Chellaswamy C.
Published: September 2022

This paper proposes a novel capacity expansion framework for electric vehicle charging stations (EVCSs) through short-term functional decisions and long-term planning under stochastic power demand. Energy resources such as solar, wind, energy storage systems, and microgas turbines supply energy to the microgrid. An EVCS works as a vehicle-to-grid (V-G), and it can send energy to the microgrid. The capacities of solar panels, storage systems, and wind turbines can be expanded by implementing capacity expansion planning in a microgrid. The short-term and long-term expansion problem has been solved by optimizing the hourly operation of the resources and with a five-year planning horizon, respectively. A hybrid algorithm combining the sample average approximation technique and the apriori progressive hedging algorithm (SAAT-APHA) has been proposed in this study. The impact of the availability of different resources, including wind, solar, and V-G power on the system performance has been analyzed. Finally, a comparison has been performed with three other algorithms, and the results show the superiority of the proposed method.
Application of Diversified Health Education Combined with Psychological Nursing in the Treatment of Patients with Infectious Bone Defects by Induction Membrane Surgery
Authors: Wang Ni , Wei Ling , Xiong Rui , Cheng Dong
Published: September 2022

Objective. To explore the application value of diversified health education combined with psychological nursing in the treatment of patients with infectious bone defects by induction membrane surgery. Methods. A total of 52 patients with infectious bone defects treated by induction membrane surgery from May 2018 to January 2022 were selected as the research subjects and divided into an observation group (with diversified health education combined with psychological care) and a control group according to the random number table method (routine nursing care). There were 26 patients in each group, and the Hospital Anxiety and Depression Scale (HADS) and Self-Care Ability Scale (ESCA) were compared. Results. At admission, there was no significant difference in anxiety dimension, depression dimension, and total score of anxiety and depression between the two groups (

P
>
0.05

). At admission, there was no significant difference in self-care responsibility, self-concept, self-care skills, health knowledge level, and total score between the two groups (

P
>
0.05

). Skills, health knowledge level, and total score were higher than those in the control group (

P
<
0.05

). The total incidence of complications in the observation group was lower than that in the control group (

P
<
0.05

). Conclusion. Diversified health education combined with psychological nursing is beneficial to reduce negative emotions, improve self-care ability, and reduce the incidence of complications in the treatment of patients with infectious bone defects by induction membrane surgery.
Characteristics of Physical Activities and Environmental Factor Preferences of Older Adults in Rural Resettlement Community in Ningbo, China
Authors: Wu Shanshan , Wu Weibo , Xia Xiuming , Zhou Jingjing
Published: September 2022

As physical mobility declines, older adults become increasingly dependent on their living environment. The relationship between physical activities and community environments for older adults has been studied to help promote physical and mental health and increase social connections among older adults, thereby improving their quality of life and health status. This study analyzed the daily outdoor physical activities of older adults in Nanyu New Village, China, using behavior mapping and questionnaire research for data collection, and conducting a comprehensive analysis of the spatial, temporal, and environmental elements of the physical activities. This research showed that the physical activity choices of older adults in rural resettlement neighborhoods vary significantly by time, gender, and space. In decreasing order, surrounding support, site security, space convenience, beautiful landscape, and diverse facilities influence the outdoor physical activities of older adults. This study provides new insights into the ongoing debate on age‐friendly communities and provides a useful reference for the design of age‐friendly retrofitting of outdoor environments in rural resettlement communities.
Ascending Aorta Diameter Changes after Aortic Valve Replacement in Elderly Patients with Aortic Valve Stenosis
Authors: Gong Jiamiao , An Kang , Lin Hongyuan , Hou Jianfeng
Published: September 2022

Objective. To describe the natural history of the ascending aorta in elderly patients after aortic valve replacement (AVR) for aortic valve stenosis and to clarify the risk factors associated with the progression of the ascending aorta. Methods. This retrospective review included a total of 87 elderly patients who had undergone aortic valve replacement for severe aortic valve stenosis in Fuwai Hospital. The patients were categorized into two groups based on the height-based aortic height index (AHI) before AVR, as determined by echocardiography and computed tomography: Group A (n = 28) was defined as an AHI > 2.44 cm/m, and Group B (n = 59) was defined as an AHI ≤ 2.44 cm/m. The perioperative and follow-up data were collected, and a linear mixed-effect model was used to analyze and compare the change rate of the ascending aorta after AVR. Results. The mean follow-up period was 4.0 ± 1.3 years. The diameter of ascending aorta in group A increased from 37.2 ± 5.0 mm at discharge to 40.7 ± 4.7 mm at the last follow-up (

P
=
0.001

), while that of group B increased only from 33.3 ± 4.4 mm to 33.7 ± 4.1 mm (

P
>
0.05

).The ascending aorta diameter expansive rate was 0.81 mm/year in group A and 0.14 mm/year in group B. The expansive rate was significantly greater in patients with an AHI>2.44 cm/m than in those with anything else (P = 0.009). A univariable linear mixed model analysis revealed that the AHI>2.44 cm/m was the only significant risk factor for ascending aortic dilatation rate after AVR. There were 4 patients who died in hospital and 11 late follow-up deaths. Particularly, there was no aortic event that occurred during follow-up. Conclusion. For elderly patients with aortic stenosis, the possibility of progressive ascending aortic dilatation after AVR demands regular follow-up, and AHI may be an important risk factor for the change rate of the diameter of the ascending aorta.
Pathophysiology of Ischemic Stroke: Noncoding RNA Role in Oxidative Stress
Authors: Su Zhongzhou , Ye Yingze , Shen Chengen , Qiu Sheng , Sun Yao , Hu Siping , Xiong Xiaoxing , Li Yuntao , Li Liqin , Wang Hongfa
Published: September 2022

Stroke is a neurological disease that causes significant disability and death worldwide. Ischemic stroke accounts for 75% of all strokes. The pathophysiological processes underlying ischemic stroke include oxidative stress, the toxicity of excitatory amino acids, ion disorder, enhanced apoptosis, and inflammation. Noncoding RNAs (ncRNAs) may have a vital role in regulating the pathophysiological processes of ischemic stroke, as confirmed by the altered expression of ncRNAs in blood samples from acute ischemic stroke patients, animal models, and oxygen-glucose-deprived (OGD) cell models. Due to specific changes in expression, ncRNAs can potentially be biomarkers for the diagnosis, treatment, and prognosis of ischemic stroke. As an important brain cell component, glial cells mediate the occurrence and progression of oxidative stress after ischemic stroke, and ncRNAs are an irreplaceable part of this mechanism. This review highlights the impact of ncRNAs in the oxidative stress process of ischemic stroke. It focuses on specific ncRNAs that underlie the pathophysiology of ischemic stroke and have potential as diagnostic biomarkers and therapeutic targets.
Molecular, Biochemical, and Clinical Characterization of Thirteen Patients with Glycogen Storage Disease 1a in Malaysia
Authors: Abdul Wahab Siti Aishah , Yakob Yusnita , Mohd Khalid Mohd Khairul Nizam , Ali Noraishah , Leong Huey Yin , Ngu Lock Hock
Published: September 2022

Background. Glycogen storage disease type 1a (GSD1a) is a rare autosomal recessive metabolic disorder characterized by hypoglycaemia, growth retardation, lactic acidosis, hepatomegaly, hyperlipidemia, and nephromegaly. GSD1a is caused by a mutation in the G6PC gene encoding glucose-6-phosphatase (G6Pase); an enzyme that catalyses the hydrolysis of glucose-6-phosphate (G6P) to phosphate and glucose. Objective. To elaborate on the clinical findings, biochemical data, molecular genetic analysis, and short-term prognosis of 13 GSD1a patients in Malaysia. Methods. The information about 13 clinically classified GSD1a patients was retrospectively studied. The G6PC mutation analysis was performed by PCR-DNA sequencing. Results. Patients were presented with hepatomegaly (92%), hypoglycaemia (38%), poor weight gain (23%), and short stature (15%). Mutation analysis revealed nine heterozygous mutations; eight previously reported mutations (c.155 A > T, c.209 G > A, c.226 A > T, c.248 G > A, c.648 G > T, c.706 T > A, c.1022 T > A, c.262delG) and a novel mutation (c.325 T > C). The most common mutation found in Malaysian patients was c.648 G > T in ten patients (77%) of mostly Malay ethnicity, followed by c.248 G > A in 4 patients of Chinese ethnicity (30%). A novel missense mutation (c.325 T > C) was predicted to be disease-causing by various in silico software. Conclusions. The establishment of G6PC molecular genetic testing will enable the detection of presymptomatic patients, assisting in genetic counselling while avoiding the invasive methods of liver biopsy.