bluuebunny/crossref_metadata_2025 huggingface dataset:
Value of Intravoxel Incoherent Motion (IVIM) Imaging for Differentiation between Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma
Authors: Wang Jinhua , Yang Zhongxian , Luo Min , Xu Cui , Du Mu , Liu Yubao
Published: May 2022

Efficient noninvasive imaging techniques in the differentiation of intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are very important because of their different management and prognosis. Our purpose was to evaluate the difference of parameters extracted from intravoxel incoherent motion (IVIM) diffusion‐weighted imaging (DWI) between the two groups and their performance for the differentiation, as well as the significance of perfusion information. IVIM studies (9 b‐values) in 41 patients with either ICC or HCC were reviewed retrospectively by two observers. Diffusion coefficient (D), pseudodiffusion coefficient (D ∗), perfusion fraction (f), ADC, and the mean percentage of parenchymal enhancement (MPPE) at 30 s after contrast‐enhancement were calculated and compared between ICC and HCC. The relationship between D ∗, f values, and MPPE was evaluated by Spearman’s correlation test. The diagnostic efficacy of all parameters was analyzed by the receiver operating characteristic (ROC) curve. Interobserver and intraobserver agreements were analyzed. The parameters (D and ADC) of ICC were distinctly higher than those of HCC; whereas the parameters (f and MPPE of arterial phase) were distinctly lower (all false discovery rate [FDR]‐corrected P < 0.05). The metric D ∗ value of ICC was slightly higher than that of HCC (71.44 vs 69.41) with FDR‐corrected P > 0.05. Moreover, the value of parameter D was significantly lower than that of ADC (FDR‐corrected P < 0.05). The parameters (D and f values) extracted from IVIM showed excellent diagnostic efficiency in the identification, and the diagnostic efficiency of D value was significantly higher than that of the ADC. There were positive correlations between perfusion‐related parameters (D ∗, f values) and MPPE. Interobserver and intraobserver agreements were excellent or perfect in measurements of all parameters. Parameters derived from IVIM were valuable for distinguishing ICC and HCC. Moreover, the D value showed better diagnostic efficiency for the differential diagnosis than monoexponential fitting‐derived ADC value. Meanwhile, the significant correlation between perfusion‐related parameters and MPPE demonstrates that specific IVIM metrics may serve as a noninvasive indicator for the vascular perfusion information of ICC and HCC.
Motion Recognition Based on Deep Learning and Human Joint Points
Authors: Wang Junping
Published: May 2022

In order to solve the problem that the traditional feature extraction methods rely on manual design, the research method is changed from the traditional method to the deep learning method based on convolutional neural networks. The experimental results show that the larger average DTW occurs near the 55th calculation, that is, about the 275th frame of the video. In the 55th calculation, the joint angle with the largest DTW distance is the right knee joint. A multiscene action similarity analysis algorithm based on human joint points has been realized. In the fitness scene, by analyzing the joint angle through cosine similarity, the time of fitness key posture in the action sequence can be recognized. In the sports scene, through the similarity analysis of joint angle sequences by the DTW algorithm, we can get the similarity between people’s actions in the sports video and the joint positions with large differences in some time intervals, and the real validity of the experiment is verified. The accuracy of motion recognition before and after the improvement is 95.2% and 97.1%, which is 0.19% higher than that before the improvement. The methods and results are widely used in the fields of sports recognition, movement specification, sports training, health management, and so on.
A Multistage with Multiattention Network for Single Image Dehazing
Authors: Hu Bin , Gu Mingcen , Li Yuehua
Published: May 2022

For single image dehazing, an end-to-end multistage with multiattention network is proposed in this paper. The network contains two different stages, in which the first stage uses an encoder-decoder subnet to obtain contextual features, and the second stage adopts a single-scale pipeline to provide spatial image details. At each stage, ground-truth supervision is provided, and an attention mechanism is used between the two stages, so the features learned from the previous stage will be refined before passing to the next stage. A basic multiattention unit that combines channel attention, spatial attention, and pixel attention is designed to earn more weight from important features, and a positional normalization that normalizes exclusively across channels is used in the multiattention unit to learn more weight from important features. Experimental results in several benchmarks indicate that the proposed network outperforms the state-of-the-art methods both quantitatively and qualitatively.
Imbibition Retention in the Process of Fluid Replacement in Tight Sandstone Reservoir
Authors: Liu Xiong , Zhang Yang , Zhou Desheng , Yan Le , Huang Hai , Li Xinru
Published: May 2022

“Fracture network stimulation and oil-water infiltration and replacement” are recent attempts to effectively produce oil from tight reservoirs. On the one hand, the formation can be fractured by the fracturing fluid, which can carry proppant into fractures. On the other hand, the fracturing fluid can spontaneously infiltrate into the pores under the action of capillary pressure to displace the oil phase, thereby enhancing the oil recovery. To distinguish imbibition and displacement processes during fluid replacement in tight reservoirs is difficult, and the effect of these two processes is also vaguely defined. In this study, an experimental method that can visualize the imbibition and displacement process is proposed by combining the core slice displacement experiment. Based on this method, the process of imbibition and displacement can be effectively distinguished, and imbibition retention rate can be quantitatively characterized. The effectiveness of this method is proved by taking the core of Chang 7 tight sandstone reservoir in the Ordos Basin as the research object. The results show that the force direction of the fluid under imbibition is related to the wettability, and it is always from the wetting phase to the nonwetting phase, while the force direction of fluid under displacement is mainly related to the directivity of displacement pressure difference. Based on the difference of force action, imbibition and displacement can be quantitatively characterized, respectively. During the imbibition process, the peak value of the NMR curve corresponding to the small pore throat shifts to the left, and the signal amplitude increases. During the displacement process, the peak value of the NMR curve corresponding to the small pore throat has no obvious shift, nor signal amplitude change, but the peak value of the curve corresponding to the large pore throat shifts to the right. The results also indicate that there is an exponential negative correlation between imbibition retention rate and gas permeability. The greater the gas permeability is, the smaller the imbibition retention rate is.
Multiattribute Decision-Making of TQM Performance of Hospitals Using TQM Digraphs
Authors: Islam Ahmad , Salam Abdus
Published: May 2022

Total quality management (TQM) is a dynamic philosophy that incorporates gradual and uninterrupted improvements. The total quality is accomplished if all the desired goals including quality of product, reputation in market, services, low cost of product, employee and customer satisfaction, optimum utilization of resources, work environment, and so on are attained. As far as the Pakistani perspective is concerned, TQM as a strategic tool is not appropriately used to optimize its performance. Public healthcare in Pakistan is one of the most ignored sectors with regard to its service quality implementation and delivery. The public sector hospitals are one of the major primary healthcare providers, but the facilities they provide do not meet the desired requirement. This study addresses six TQM attributes to analyze the TQM performance of various public sector teaching hospitals in the province Punjab of Pakistan. The data was obtained from medical experts. The TQM performance to study the behavior of TQM implementation in hospitals is evaluated using TQM digraphs. The hospitals are ranked according to the TQM performance index, which is obtained from TQM digraphs. The technique to find the most effective attribute for a hospital is also proposed. The TQM digraph approach not only focuses on the significance of attributes independently but also incorporates the relative importance of one attribute over another. Also, this approach is very flexible that can incorporate new attributes and market variation so that continuous improvement may be possible. Moreover, the results obtained in this approach are not limited to beneficial for benchmarking of teaching hospitals in Punjab on the TQM basis, but these can also help indicate the particular attribute that is more needed to be improved for a particular hospital to increase its TQM performance.
Synchronization of Fractional-Order Hindmarsh-Rose Neurons with Hidden Attractor via Only One Controller
Authors: Shi Xuerong , Wang Zuolei , Zhou Yan , Xin Li
Published: May 2022

Compared with the integer-order neuron model, the fractional-order neuron model can depict richer electrical activities of the neuron system and becomes a hot topic. To better understand the complex phenomenon of neuron, according to Caputo’s fractional derivative operator, the fractional-order Hindmarsh-Rose neuron model is introduced, and dynamics of it are investigated. Firstly, the hidden attractor of the proposed model is discussed via theoretical analysis and numerical simulation. Secondly, synchronization between fractional-order Hindmarsh-Rose neurons is realized by designing one controller whether the order is the same or different. Simultaneously, the impact of the order on the synchronization speed of considered systems with the same order is explored, and it is found that lower order is beneficial for speeding up synchronization. Theoretical results are confirmed via numerical simulations. Research results contribute to reveal some complex phenomena of neuron systems and control the complex dynamics effectively.
Research on the Path of Sports Sociology Curriculum from the Interdisciplinary Perspective
Authors: Tan Chengwei
Published: May 2022

Under the premise of emphasizing interdisciplinary learning and reference, the sociology of sports course from an interdisciplinary perspective needs to trace the historical trajectory of the interactive development of the sociology of sports course and other disciplines and grasp the law of the cross-development of the sociology of sports course and other disciplines. This study uses an interdisciplinary approach to demonstrate the need for interdisciplinary research in sports science in China, based on the overall concept of complexity of sports, completeness of sports science, the intersection of sports science research, and interdisciplinary needs of sports scientific research innovation. The innovation ability is taken as the research object, and the important influencing aspects of sports scientific research innovation ability are investigated. An index system of sports scientific research innovation ability is developed, and qualitative research is applied to examine the impact of interdisciplinary research on sports scientific research innovation. The impact of ability is exposed by quantitative analysis to explore the association between the relevant factors in scientific research innovation ability and carefully understand the important role of interdisciplinary research in Chinese sports scientific research innovation.
Ficus hirta Vahl. Ameliorates Nonalcoholic Fatty Liver Disease through Regulating Lipid Metabolism and Gut Microbiota
Authors: Quan Ting , Zhou Fangyu , Chen Huiyuan , Jian Lina , Yang Yuxuan , Xia Fan , Xiang Shijian , Zhou Benjie , Li Shasha
Published: May 2022

Nonalcoholic fatty liver disease (NAFLD) has gradually become one of the most serious liver diseases threatening human health in the world. Currently, Chinese herbal medicine is a potentially important treatment option for NAFLD, and the development of effective Chinese herbal medicine has a good prospect. Previous studies have suggested that Ficus hirta Vahl. (FV) has various protective effects on the liver. In this study, we investigated the therapeutic outcomes of FV treatment for the liver disease and its underlying mechanism using HepG2 cell lines induced by palmitate (PA) and mouse model fed with high-fat diet (HFD). FV mainly exerts pharmacological effects by mediating lipid metabolism and inflammation. During the lipid metabolism regulation process, CD36, SREBP-1, SCD1, PPAR γ, ACOX1, and CPT1α are the key factors related to the healing effects of FV on NAFLD. During the inflammation process, the downregulation of IL-6, IL-1β, and TNF-α is involved in alleviation of NAFLD. Furthermore, CD36 overexpression promotes lipid abnormal metabolism and inflammation in PA-induced HepG2 cells, while CD36 knockdown and FV supplementation reverse these responses. In addition, FV also modulates gut microbiota composition, such as Allobaculum, Faecalibaculum, and Butyricicoccus in HFD-fed mice. In summary, our findings demonstrated that FV exerted a beneficial preventive and therapeutic effect on NAFLD by improving lipid metabolism and inflammation as well as regulating the structure of gut microbiota, and therefore, FV may be a candidate for the treatment of NAFLD.
Model Construction of Moral Education Teaching System in Colleges and Universities under the Background of Information Technology
Authors: Han Jing
Published: May 2022

With the rapid development of modern computer technology, traditional classroom teaching has undergone tremendous changes in teaching concepts, teaching methods, and teaching environment. Web technology is an important part of the integration of information technology and classroom teaching, and the auxiliary teaching tools for subject courses provide an effective way for the reform of traditional education. This research constructs a web-based moral education based on the analysis of the current situation of the development of teaching curriculum models. There is a new model of instruction for the curriculum teaching system. A detailed teaching design was carried out, and the teaching effect was given timely feedback. Through teaching practice, it is found that the average score of students in the pretest has increased by about 15%, and the standard deviation and variance of the students’ scores in the posttest show a downward trend. The curriculum-based teaching system is not only conducive to improving students’ interest in learning and self-determination, learning ability, and classroom participation, and the teaching effect is significantly better than that of traditional classroom teaching based on paper textbooks.
Risk Assessment of the Rockburst Intensity in a Hydraulic Tunnel Using an Intuitionistic Fuzzy Sets-TOPSIS Model
Authors: Gu Xin-Bao , Wu Qi-Hong , Ma Ying
Published: May 2022

Rockbursts pose a significant threat to the safety of construction workers during construction periods. Many factors control its occurrence. To evaluate the intensity level of rockburst in hydraulic tunnels accurately, the intuitionistic fuzzy sets-TOPSIS model is first introduced. And, the decisive matrix is constructed. Then, the weighed decisive matrix is calculated. Finally, the degree of membership at different levels regarding the rockburst intensity is obtained. According to the ranking sequence of the membership degree, the risk level that corresponds to the maximum membership degree is the final assessment level. The conclusions are drawn that assessing the level of rockburst intensity using the proposed method is feasible. Compared with the traditional method, the proposed model has sufficient usage of original data, minor information loss, and broader application. And, their judgments under inherent uncertainty in the proposed model can be conveyed. More significantly, the degree of indeterminacy can be handled adequately in the evaluation. The proposed method not only can deal with vague information but also ease our workload. The efficiency and accuracy can be improved. In total, it can provide a new route for the intensity prediction of rockburst in the future.
Analysis of the Relationship between Dockless Bicycle-Sharing and the Metro: Connection, Competition, and Complementation
Authors: Wu Yuru , Li Weifeng , Yu Qing , Li Jian
Published: May 2022

Dockless bicycle-sharing (DLBS) is one of the novel transportation modes emerging in recent years. As a newly arisen mode, dockless bicycle-sharing inevitably has influence on the existing components of the public transportation system, especially the metro system. A large number of scholars have explored the integration relationship between the two. However, through the evaluation and quantification of the dockless bicycle-sharing data and the metro automatic fare collection data, we find that the relationship between the two is not unique. Based on the location of origin and destination, the travel duration, and the travel distance, the dockless bicycle-sharing trips closely related to the metro were identified and categorized into three different temporal-spatial relationships: competition trips, connection trips, and complementation trips. Three indicators were proposed to characterize the relationship between the two systems. A case study was carried out in Shanghai, China. The proposed method was applied to investigate when, where, and to what extent the dockless bicycle-sharing trips compete with, integrate with, and complement the metro. The results show that dockless bicycle-sharing mainly integrates with and complements the metro. It is where the dockless bicycle-sharing trip takes place and the trip significantly determines its relationship with the metro. The findings provide significant implications regarding the design and management of dockless bicycle-sharing and the metro.
Fractional-View Analysis of Jaulent-Miodek Equation via Novel Analytical Techniques
Authors: Zadeh Ahmad Haji , Jacob Kavikumar , Shah Nehad Ali , Chung Jae Dong
Published: May 2022

In this article, we analyze the analytical result of fractional-order Jaulent-Miodek equations with the help of two novel methods, namely,

ρ

-Laplace decomposition method and

ρ

-Laplace variational iteration method. The achieved results are shown in a series form, which is rapidly converging. The approximate simulations were performed in absolute error to ensure that the suggested methods are accurate and reliable. The achieved results are graphically presented to confirm the validity and accuracy of the techniques. The study results reveal that the

ρ

-Laplace decomposition method is computationally very effective and accurate compared to

ρ

-Laplace variational iteration method to analyze the nonlinear system of fractional-order Jaulent-Miodek equations.
A Surface Target Recognition Algorithm Based on Coordinate Attention and Double-Layer Cascade
Authors: Guo Runze , Zuo Zhen , Su Shaojing , Sun Bei
Published: May 2022

As a branch of target recognition, surface target recognition plays an irreplaceable role in both military and civilian applications. However, the large target size variation, low image resolution, and high real-time requirements pose challenges to existing algorithms. To address the issues, we take YOLOv5 as a backbone and adopt coordinate attention and a double-layer cascade structure to enhance both the recognition performance and speed. Specifically, coordinate attention is introduced to guide the corresponding network to focus on discriminative features by capturing channel and location information. Meanwhile, the double-layer cascade structure is designed for finely extracting and aggregating semantic features and spatial features at different scales. We test the model on the COCO dataset, the VOC dataset, and self-built surface target dataset. Experimental results show that proposed coordinate attention module and multiscale module improve the recognition effect of multiscale surface targets and meet the requirement of real time.
Research on the Construction of the Quality Evaluation Model System for the Teaching Reform of Physical Education Students in Colleges and Universities under the Background of Artificial Intelligence
Authors: Guo Hao
Published: May 2022

With the continuous progress of the times, the reform of physical education teaching in colleges and universities has to be promoted day by day. The most important task in the process of reform is how to improve the quality of physical education teaching. Only by reforming colleges and universities can we transport outstanding talents into the society. It is very important to improve the teaching quality by improving the physical education quality evaluation system. As artificial intelligence technology has been more and more widely used in different fields, various educational administration systems based on information management have been established in various colleges and universities. On the one hand, it has brought great convenience to the management of physical education in colleges and universities and improvement of the efficiency of sports education management, but on the other hand, there are many shortcomings in the process of practical application. For example, the application of the database does not fully reflect its function and convenience, and it is only used at the level of query and statistics. Therefore, a better evaluation system of physical education teaching quality has become the common expectation of all colleges and universities. This paper makes a powerful analysis of the current quality evaluation of physical education in colleges and universities and proposes a method of establishing a basic framework through expert systems, filling in details with the idea of knowledge base and fuzzy sets, and further using a three-layer B/S framework model to design universal teaching quality assessment system. When discussing the requirements, functional framework, and actual development of the teaching evaluation system, the characteristics of the traditional physical education evaluation model are deeply analyzed, and the system’s interactivity, flexibility, accuracy, and fairness are emphasized in the implementation process. Object-oriented design and analysis are carried out on the requirements of the system, and finally, black-box testing is carried out to ensure the reliability and correctness of the system logic.
Rapid Apical Healing with Simple Obturation Technique in Response to a Calcium Silicate-Based Filling Material
Authors: AlBakhakh Bahaa , Al-Saedi Aqeel , Al-Taee Riad , Nahidh Mohammed
Published: May 2022

Background. Root canal sealers with high alkaline (pH more than 11) and bioactive properties (release ions) are more effective for healing the apical area and preventing reinfection in root canals. Pure calcium silicate-based bioceramic premixed injectable sealers lead to change the obturation technique because it depends on maximizing amount of sealer and single cone gutta-percha as a carrier. This retrospective clinical study aimed at demonstrating the effect of single cone gutta-percha with a calcium silicate-based filling, used to fill the root canal in a single visit, on the apical healing with different lesion size. Materials and Methods. 195 patients needing root canal treatment were treated at the Al-Jazaer private clinic in southern Iraq. Cases were obtained during the 2017–2021 period (retrospective study). All patients were treated with a simple hydraulic condensation technique that used calcium silicate-based filling materials as the sealer with single cone gutta-percha as the carrier, with a minimum follow-up period of approximately one year. Both treatment- and patient-related factors were evaluated. The clinical outcomes depended on classification with respect to complete (success) or incomplete (failure) healing. Statistical analysis was performed using a chi-square test to compare different related factors. Results. Radiographs for 195 patients were examined, and the average follow-up time was 20.44 months. The complete healing success rate was 164 (84.1%), and 31(15.9%) patients were not healed. The highly significant success rate was 88.7% for the initial treatment compared with 63.9% for retreatment. Small and medium lesions (<5 mm diameter) had a significant success rate compared to large lesions (>5 mm diameter). Sealer extrusion was found in 68.7% of cases, but it did not have any significant effect on the treatment result. Conclusions. The bioceramic calcium silicate-based filling sealer used with single-cone gutta-percha led to increased success of apical healing with a simple hydraulic condensation technique without multiple visit treatments and premedication material.
Computational Intelligence and Applications of Virtual Reality Technology in Martial Arts Teaching System
Authors: Sun Yuning , Liu Yan , Zhiqiang Zhao
Published: May 2022

Conventional martial arts teaching system has the problem that the interactive teaching mode is not three-dimensional enough, which leads to the slow byte sending speed of the system. In this study, a martial arts teaching system based on virtual reality technology is designed. In the hardware part, 5 V and 3.3 V DC regulated power supply is selected and Ethernet interface and USB for network connection are used. For the software part, according to the different degrees of muscle participation in the completion of the action, the technical characteristics of martial arts action are identified, virtual reality technology is used to build interactive teaching mode, the feedback of proprioceptors is used to adjust martial arts action, the software priority processing function is designed, and the priority of martial arts action frame is improved. The average sending byte speed of the martial arts teaching system in this paper and the other two martial arts teaching systems is 81.391 kb/s, 93.465 kb/s, and 94.557 kb/s, respectively, indicating that the performance of the martial arts teaching system has been improved after the combination of virtual reality technology.
PI3K/AKT/mTOR Pathway-Associated Genes Reveal a Putative Prognostic Signature Correlated with Immune Infiltration in Hepatocellular Carcinoma
Authors: Wang Zhihuai , Rehman Adeel Ur , Qin Xihu , Zhu Chunfu , Wu Siyuan
Published: May 2022

Background. The dysregulated PI3K/AKT/mTOR pathway acts as the main regulator of tumorigenesis in hepatocellular carcinoma (HCC). Aim. Here, we identify the prognostic significance of PI3K/AKT/mTOR pathway-associated genes (PAGs) as well as their putative signature based on PAGs in an HCC patient’s cohort. Methods. The transcriptomic data and clinical feature sets were queried to extract the putative prognostic signature. Results. We identified nine PAGs with different expressions. GO and KEGG indicated that these differentially expressed genes were associated with various carcinogenic pathways. Based on the signature-computed median risk score, we categorized the patients into groups of low risk and high risk. The survival time for the low-risk group is longer than that of the high-risk group in Kaplan-Meier (KM) curves. The prognostic value of risk score (

ROC
=
0.736

) of receiver operating characteristic (ROC) curves performed better in comparison to that of other clinicopathological features. In both the GEO database and ICGC database, these outcomes were verified. The predictions of the overall survival rates in HCC patients of 1 year, 3 years, and 5 years can be obtained separately from the nomogram. The risk score was associated with the immune infiltrations of CD8 T cells, activated CD4 memory T cells, and follicular helper T cells, and the expression of immune checkpoints (PD-1, TIGIT, TIM-3, BTLA, LAG-3, and CTLA4) was positively relevant to the risk score. The sensitivity to several chemotherapeutic drugs can also be revealed by the signature. CDK1, PITX2, PRKAA2, and SFN were all upregulated in the tumor tissue of clinical samples. Conclusion. A putative and differential dataset-validated prognostic signature on the basis of integrated bioinformatic analysis was established in our study, providing the immunotherapeutic targets as well as the personalized treatment in HCC with neoteric insight.
Clinical Evidence and Potential Mechanisms of Complementary Treatment of Ling Gui Zhu Gan Formula for the Management of Serum Lipids and Obesity
Authors: Huang Jiashuai , Zhao Linjing , Sun Jijia , Wang Lixin , Gu Jianrong , Liu Xijian , Yang Mengwen , Wang Yuting , Zhang Ning , Zhu Jiamin , Xu Shanshan , Ren Xinfeng , Su Ying
Published: May 2022

Objective. This study aims to evaluate the clinical effects of Ling Gui Zhu Gan formula (LGZG), a famous TCM formula, for the management of serum lipids and obesity and preliminarily elucidates the bioactive components and the potential mechanism. Methods. Cluster analysis was adopted to investigate the TCM herbs and their frequency of occurrence for treating hyperlipidemia and obesity in an academic experience database of Chinese famous TCM doctors (http://www.gjmlzy.com:83). Then, relevant randomized controlled trials (RCTs) about LGZG supplementation in improving lipid levels and obesity were retrieved and analyzed. Lastly, the integration of network pharmacology, as well as greedy algorithms, which are theoretically well founded for the set cover in computer science, was exploited to identify the bioactive components of LGZG and to reveal potential mechanisms for attenuation or reversal of hyperlipidemia and obesity. Results. Based on the cluster analysis of 104 cases in TCM academic experience database, four TCM herbs in LGZG showed high-use frequency for treating hyperlipidemia and obesity. Meta-analysis on 19 randomized controlled trials (RCTs) with 1716 participants indicated that LGZG supplementation significantly decreased the serum levels of total triglycerides, total cholesterol, low-density lipoprotein cholesterol, BMI, and body weight and increased high-density lipoprotein cholesterol, compared with clinical control groups. No serious adverse effect was detected in all studies. Twenty-one bioactive components of LGZG, mainly flavonoids (i.e., naringenin, kaempferol, and kumatakenin), saponins (i.e., hederagenin), and fatty acids (i.e., eicosenoic acid), had the potential benefits possibly by regulating multiple targets such as PTPN1, CYP19A1, and ESR2, as well as a few complex pathways including the TNF signaling pathway, PPAR signaling pathway, arachidonic acid metabolism, fat digestion, and absorption. Conclusion. The present study has proved the clinical value of LGZG as a complementary treatment for attenuation or reversal of hyperlipidemia and obesity. More high-quality clinical and experimental studies in the future are demanded to verify its effects and the precise mechanism of action.
Drug-Drug Interactions Prediction Using Fingerprint Only
Authors: Ran Bing , Chen Lei , Li Meijing , Han Yujuan , Dai Qi
Published: May 2022

Combination drug therapy is an efficient way to treat complicated diseases. Drug-drug interaction (DDI) is an important research topic in this therapy as patient safety is a problem when two or more drugs are taken at the same time. Traditionally, in vitro experiments and clinical trials are common ways to determine DDIs. However, these methods cannot meet the requirements of large-scale tests. It is an alternative way to develop computational methods for predicting DDIs. Although several previous methods have been proposed, they always need several types of drug information, limiting their applications. In this study, we proposed a simple computational method to predict DDIs. In this method, drugs were represented by their fingerprint features, which are most widely used in investigating drug-related problems. These features were refined by three models, including addition, subtraction, and Hadamard models, to generate the representation of DDIs. The powerful classification algorithm, random forest, was picked up to build the classifier. The results of two types of tenfold cross-validation on the classifier indicated good performance for discovering novel DDIs among known drugs and acceptable performance for identifying DDIs between known drugs and unknown drugs or among unknown drugs. Although the classifier adopted a sample scheme to represent DDIs, it was still superior to other methods, which adopted features generated by some advanced computer algorithms. Furthermore, a user-friendly web-server, named DDIPF (http://106.14.164.77:5004/DDIPF/), was developed to implement the classifier.
Exact Solutions of the Nonlinear Space-Time Fractional Partial Differential Symmetric Regularized Long Wave (SRLW) Equation by Employing Two Methods
Authors: Zhu Qinghao , Qi Jianming
Published: May 2022

In this article, with the aid of Maple software, the exact solutions to the space-time fractional symmetric regularized long wave (SRLW) equation are successfully examined by

G

′

/

G

2

-expansion and extended complex methods. Consequently, three types of traveling wave solutions are found such as Weierstrass double periodic elliptic functions, simply periodic functions, and the rational function solutions. The obtained results will play an important role in understanding and studying SRLW equation. It is easy to see that the extended complex and

G

′

/

G

2

-expansion methods are reliable and will be used extensively to seek exact solutions of any other fractional nonlinear partial differential equations (FNPDE).
Comprehensive Characterization of Furcraea selloa K. Koch Peduncle Fiber-Reinforced Polyester Composites—Effect of Fiber Length and Weight Ratio
Authors: Divya D. , Jenish I. , Raja S.
Published: May 2022

Nowadays, scientists and researchers working on polymer composites are paying much attention to the discovery of prospective plant fibers in order to build a promising fiber-reinforced polymer composite. The present study investigated the efficacy of using a novel Furcraea selloa K. Koch peduncle fiber in reinforced composites, and the specific composite characterization was done to explore the absolute fiber length and weight ratio to accomplish superior composite properties. For that, peduncle fibers with different length-to-weight ratios were reinforced with unsaturated polyester and the corresponding composites were tested to decide the optimum fiber length-to-weight ratio for obtaining the utmost composite properties. The results indicated that the highest mechanical properties were allied with a composite reinforced with 30 mm fiber length and 30 wt.% with the tensile strength of 103.51 MPa and flexural strength of 144.65 MPa. While the remaining tested volumes showed decreased properties as compared to optimal, which might be due to debonding effects or less interfacial bonding as examined clearly in SEM images of fractured samples. Enhanced thermal stability with 390°C and relatively reduced water absorption rate was observed in the case of optimal range when compared to other testing dimensions. Moreover, the current study confirmed that FSPF composites possess promising comparable properties which would be a good alternative to existing synthetic composites.
SNORD15B and SNORA5C: Novel Diagnostic and Prognostic Biomarkers for Colorectal Cancer
Authors: Shen Liping , Lu Wenqing , Huang Yujv , He Junyan , Wang Qi , Zheng Xiaofei , Wang Zhidong
Published: May 2022

Colorectal cancer (CRC) is presenting a global public health problem with high incidence and mortality. Early diagnosis and treatment are the most important strategies to improve prognosis of this disease. Besides fecal occult blood test (FOBT) and colonoscopy, the most widely used methods for CRC screening currently, more effective methods for early diagnosis or prognostic prediction for CRC are needed. Small nucleolar RNAs (snoRNAs) is a class of noncoding RNAs (ncRNAs) playing crucial roles in carcinogenesis and considered to be promising tumor biomarker. In this study, we found that SNORD15B, SNORD48, and SNORA5C were significantly upregulated in CRC tissues. High levels of SNORD15B, SNORD48, or SNORA5C predicted poor clinical outcomes of CRC patients. Forced expression of SNORD15B or SNORA5C in CRC cells promoted proliferation and colony formation. In a further investigation, association between the level of SNORD15B/SNORA5C and clinicopathological parameters of CRC patient cohorts was analyzed based on data from The Cancer Genome Atlas (TCGA). We found that high expressions of SNORD15B and SNORA5C were significantly associated with age, lymphatic invasion, and history of colon polyps, and they were proved to be independent risk factors for survival of CRC patients. This study confirms that SNORD15B and SNORA5C have oncogenic effects in carcinogenesis of CRC. The findings suggest the two genes as potential diagnostic and prognostic biomarkers for CRC.
Dilemma and Countermeasures of English Teaching Reform Based on Multiculturalism in the Context of Big Data and Wireless Communication
Authors: Fei Bi , Huang Guo
Published: May 2022

The development of big data and wireless communication technology has expanded the channels for Western culture to enter China. Diversified teaching forms make us dizzy, which has a great impact on traditional English teaching. This paper aims to study the dilemma and countermeasures of English teaching reform based on multiculturalism under the background of big data and wireless communication. It analyzes the connotation of multiculturalism, the characteristics of the era of big data, the problems existing in college English teaching, and the necessity of college English teaching reform. On the basis of feasibility, in order to understand the current situation of English teaching in colleges and universities, this paper takes teachers and students of a college in this province as the research object, conducts a questionnaire survey on them, and finds out how to better use the background of big data and wireless communication through data analysis. Combined with the multicultural trend of the times to carry out English teaching, the study concluded that under the current technological background, our English teaching must adhere to the student-centered approach and take the improvement of teachers’ quality as an important means.
The Relationship between Statin and Risk of Age-Related Macular Degeneration: A Systematic Review and Meta-Analysis
Authors: Memarzadeh Ezatollah , Heidari-Soureshjani Saeid
Published: May 2022

Introduction and Aim. Age-related macular degeneration (AMD) is one of the leading causes of blindness and visual defect, particularly in elderly people across the world. This meta-analysis aimed at investigating the relationship between statin and the risk of AMD. Methods. Web of Science, PubMed, and Scopus databases were searched for articles that addressed the relationship between statin consumption and risk of AMD. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using a random-effects model. Subgroup analyses and sensitivity analyses were also conducted. Cochran’s Q test and the I2 statistic were used to evaluate the heterogeneity. To assess potential publication bias, Begg’s test was used. Results. In total, 22 studies were reviewed in the meta-analysis that included 2063195 participants and 313702 (15.20%) AMD patients compared to individuals not receiving statins. The OR of AMD in statin-receiving participants was 0.93 (95% CI; 0.83–1.05,

P
=
0.225

). The OR of AMD in those that received statins was 0.92 (95% CI; 0.75–1.13,

P
=
0.440

) in case-control studies, 0.95 (95% CI; 0.82–1.09,

P
=
0.458

) in cohort studies, 0.951 (95% CI; 0.59–1.53,

P
=
0.831

) in cross-sectional studies, 0.94 (95% CI; 0.80–1.10,

P
=
0.468

) in North America, 0.81 (95% CI; 0.54–1.21,

P
=
0.308

) in Europe, 1.05 (95% CI; 0.94–1.18,

P
=
0.362

) in Asia, and 0.52 (95% CI; 0.26–1.04,

P
=
0.125

) in Australia. No publication bias was observed in this study (

P
=
0.114

). Conclusion. According to the results of this study, taking statins does not increase or decrease the risk of AMD development. Therefore, this drug group cannot be considered a protective or risk factor for the occurrence of AMD.
Measurement of Entropy Evaluation Method and Matter-Element Analysis Model
Authors: Liu Dan
Published: May 2022

Tourism carrying capacity means the intensity of tourism activities that can be accommodated by urban tourism. In this study, urban tourism carrying capacity is analyzed from five aspects, namely, tourism resources, tourism security, economic base, social environment and ecological capacity. Harbin City’s tourism carrying capacity is measured based on an entropy evaluation method and a matter-element analysis model. In this paper, the five aspects are subdivided, and the entropy method and matter-element analysis model are used to calculate the tourism carrying capacity of Harbin. The calculation results show that from 2010 to 2021, the tourism carrying capacity of Harbin is on the rise. From these indicators, it can be seen that ecological capacity and social environment are the best for tourism carrying capacity development. In terms of tourism resources and tourism security, the preliminary construction effect is obvious, and the tourism carrying capacity increases significantly, but after 2016-2017, there is a significant downward trend. The economic level is growing significantly, and the effect is obvious. It can be seen that the index of economic foundation has been steadily improving and will be at the highest value in five measures in 2021.
Asymptotic Normality of the Robust Equivariant Estimator for Functional Nonparametric Models
Authors: Almanjahie Ibrahim M. , Fetitah Omar , Attouch Mohammed Kadi , Louhab Hayat
Published: May 2022

As in parametric regression, nonparametric kernel regression is essential for examining the relationship between response variables and covariates. In both methods, outliers may affect the estimators, and hence robustness is essential to deal with practical issues. This paper proposes a family of robust nonparametric estimators with unknown scale parameters for regression function based on the kernel method. In addition, we establish the asymptotic normality of the estimator under the concentration properties on small balls of probability measure of the functional explanatory variables. The superiority of the proposed methods is shown through numerical and real data studies to compare the sensitivity to outliers between the classical and robust regression (fixed and unknown scale parameter). Such a new proposed method will be useful in the future for analyzing data and making decisions.
Muscone Inhibits the Excessive Inflammatory Response in Myocardial Infarction by Targeting TREM-1
Authors: Zhang Hong , Ye Jian , Wang Xu , Liu Zongjun , Chen Tao , Gao Junqing
Published: May 2022

The inhibitory effect of muscone on the hyperinflammatory response after myocardial ischemia reperfusion injury (MIRI) was investigated, and the target and signal pathways of muscone were explored. The levels of inflammatory cytokines interleukin-1β, interleukin-6, and tumor necrosis factor alpha were detected through qRT-PCR and ELISA. The expression levels of p38 and NF-κB signaling pathway-related proteins were detected through Western blot. TREM-1 siRNA was transfected into macrophages in vitro. The rat model of myocardial ischemia was established and used in studying the inhibitory effect of muscone on the inflammatory response and its protective effect muscone on myocardial apoptosis. The expression of TREM-1 was upregulated during myocardial ischemia. Knocking down TREM-1 decreased the increase in inflammatory cytokines in the supernatant of macrophages induced by rmHMGB1 (1 μg/mL) and rmHSP60 (1 mol/mL). In addition, knocking down TREM-1 decreased p38 and NF-κB signaling activation. Muscone can protect myocardial cells by inhibiting the expression of TREM-1 and the inflammatory response after myocardial infarction. Further study showed that muscone inhibited the production of DAM-triggered (damage-associated molecular pattern trigger) inflammatory cytokines. In addition, muscone inhibited the activation of p38 and NF-κB signals under DAM-induced conditions. Muscone and TREM-1 gene knockout reduced cell apoptosis and provided protection against MIRI by inhibiting p38 and NF-κB signaling activation. Mechanism studies showed that muscone inhibited the production and release of inflammatory cytokines by inhibiting TREM-1, and thereby reducing the inflammatory response and providing protection against MIRI.
Effect of Fe Doping on Photocatalytic Dye-Degradation and Antibacterial Activity of SnO2 Nanoparticles
Authors: Preethi T. , Senthil K. , Pachamuthu M. P. , Balakrishnaraja R. , Sundaravel B. , Geetha N. , Bellucci Stefano
Published: May 2022

A simple hydrothermal method is utilized to synthesize iron-doped tin oxide nanoparticles (Fe-SnO2 NPs) at various doping concentrations. The structural characterization using XRD, Raman, and FTIR measurements confirmed the incorporation of Fe ions into the SnO2 lattice without any deviation in the tetragonal crystal system of SnO2 nanoparticles. SEM and HRTEM images show the spherical-shaped nanoparticles with agglomeration. The values of interplanar spacing ([Formula: see text]-value) calculated from the HRTEM lattice are consistent with the XRD results. Further, optical analysis revealed a red shift in the optical absorption band and a decrease in the band gap energy with an increase in Fe-dopant concentration. The decrease of PL emission peak intensity with Fe doping revealed the generation of singly charged oxygen vacancies. The H2O2-assisted photocatalytic degradation efficiency of Fe-SnO2 NPs investigated against crystal violet dye indicated an efficiency of 98% for 0.05 M Fe-SnO2 NPs within 30 minutes under visible light illumination. In addition, the effects of pH, scavengers, and reusability of the catalyst are tested. The antibacterial behavior of Fe-SnO2 NPs against Escherichia coli is examined by using the colony count method, and the inhibition rate was found to be 49, 65, 70, and 78% for pure, 0.01, 0.03, and 0.05 M Fe-SnO2 NPs, respectively.
Cyber-Physical-Social Model for Service Recommendation in the Internet of Things
Authors: Gao Zhijun , Liu Zhenyu , An Jingmin
Published: May 2022

The services in the Internet of Things (IoT) are the key components to realize the value of IoT. The entity-oriented services are discovered from data. However, a large number of heterogeneous data and entities in IoT increase the difficulty of service development. For this, we propose a cyber-physical-social model to recommend services in IoT. The model consists of four layers: in the physical layer, the individual behavior pattern is defined. The system layer is responsible for handling interaction data to solve the heterogeneous data problem. The cyber layer is the agent layer, where we use the defined agents to establish service logic, shielding the entity heterogeneous problem. In the social layer, we explore the behavior similarity between individual users, achieving entity interaction in different scenes. In experiments, we obtain the data from 5 scenes, and the data is used for 6 experiments. In terms of accuracy and response time, our model has outstanding advantages compared with the previous methods.