bluuebunny/crossref_metadata_2025 huggingface dataset:
On Entropy Measures and Eccentricity-Based Descriptors of Polyamidoamine (PAMAM) Dendrimers
Authors: Hui Zhi-Hao , Fahad Asfand , Qureshi Muhammad Imran , Irfan Rida , Shireen Aneesa , Iqbal Zahid , Alyusufi Rahma
Published: August 2022

Topological indices (TIs) assign a numeric value to a graph or a molecular structure. Due to their ability to predict the physiochemical properties of a molecular graph, several TIs have been introduced and studied, mainly based on degree and distance. For a vertexv, the maximum distance ofvfrom any other vertex in a graphGis called the eccentricity ofv, which is denoted byσv, inG. The eccentricity of vertices gained special attention among the distance-based or degree-distance based TIs. An important TI in the class of eccentricity-dependent TIs is an eccentricity-entropy index. Furthermore, other eccentricity-dependent TIs such as eccentric-connectivity index, total-eccentricity index, and the first Zagreb index have also been extensively studied. On the other hand, dendrimers came out as unique polymeric macromolecules because of extensively branched three-dimensional architectural characteristics. This structure design prepares for various unique properties of dendrimers, including monodispersity, multivalency, uniform size, globular shape, water solubility with hydrophobic internal cavities, and a high degree of branching. These properties make them attractive candidates for different applications. PAMAM (polyamidoamine) dendrimers are promising polymers that can be successfully used in various biomedical applications. The PAMAM dendrimers having different structures such as a primary amine as the end group or porphyrin core have been studied through graph-theoretic parameters. This paper studies these two types of PAMAM dendrimers through eccentricity-dependent parameters. In particular, we establish formulae of eccentricity entropy for two types of PAMAM dendrimers. Moreover, we also derive analytic formulae of some other significant TIs from the class of eccentricity-dependent TIs. Furthermore, we apply graphical tools to demonstrate the trends of the values in the obtained results.
[Retracted] Clinical Effect of Metronidazole Vaginal Effervescent Tablet Combined with Flavescentis Sophora Suppository in the Treatment of Trichomonas Vaginitis
Authors: Shi Lingjia , Yang Dan , Wang Xin
Published: August 2022

For the treatment of trichomonas vaginitis, a combination therapy of metronidazole vaginal effervescent tablet combined with Flavescentis Sophora suppository is proposed. The patients diagnosed with trichomonas vaginitis are divided into the conventional treatment group and the joint group. The conventional group is treated with metronidazole vaginal effervescent tablets, and the joint group is treated with metronidazole vaginal effervescent tablets combined with sophora bolt. Both groups are treated for 3 months to observe the therapeutic effect of the two treatment methods. The expressions of IL‐2 and IL‐13 in serum of patients are detected by the ELISA. The changes in the vaginal pH value and cleanliness at each time point are observed. The patients are followed up for 6 months after treatment in order to observe the recurrence of trichomonas vaginitis in both groups. Experimental results show that the combination of the two tablets can further improve the clinical efficacy and reduce the inflammatory response and effectively improve the PH value and cleanliness of the vagina, and the recurrence rate is lower, which is worthy of clinical application.
Eyelash Trichomegaly: Unusual Feature Associated with Systemic Lupus Erythematosus Patient
Authors: AlWarawreh Amjad M. , AlWarawreh Ahmad M. , Jarrar Bashar F. , Aldebei Asem H. , Ajarmeh Mahasen S. , Ayyash Fadi F. , Abu Al-Ghanam Manal A.
Published: August 2022

Eyelash trichomegaly is a rare disorder in which normal features of eyelashes such as length, color, thickness, or curling changes. It may occur due to many causes, such as the presence of other disorders such as HIV infection, congenital anomalies like oculocutaneous albinism, or Oliver–McFarlane syndrome. It may be linked to the use of certain drugs and can also be present as an isolated trait by birth. Here, we report a rare case of eyelash trichomegaly in a 19-year-old female having diffused alopecia, diagnosed with systemic lupus erythematosus.
Application of Realistic 3D Model in Building Prefabricated Nanomaterial Structure
Authors: Li Sihui
Published: August 2022

In order to solve the problem of 3D modeling in building assembly, an application of a 3D model based on the real scene in the building assembly structure is proposed. This method, based on the current BIM technology in nanomaterial design research, analyzes the problems existing in the traditional assembly structure design scheme and analyzes the feasibility of BIM technology in the forward design of assembly buildings from the perspective of theory and practical application. The experimental results show that the urban building model established by the 3D model has high precision and a good real-scene effect. The accuracy of the building model meets the requirements of 1 : 1000 mapping, has measurable accuracy, and elevation accuracy is better than 30 cm. The 3D model promotes the development of informatization.
Mobile Platform for MOCC Music Hybrid Teaching Based on Convolutional Neural Network
Authors: Li Xin
Published: August 2022

With the wide application of Internet mobile devices in many industries, the hybrid teaching mode of online and offline has also become a research hotspot in the field of education. In the process of constructing the music online teaching platform based on mobile platform MOOC, the distribution of samples will affect the data recognition results of the system. Therefore, this paper uses convolutional neural network as the backbone network to extract data features and improve the resolution. At the same time, in the process of data compression, this paper realizes the global average pool and unified parameters by improving the attention mechanism, so that all parameters interact with their K adjacent parameter characteristics, so as to reduce the overdependence between channels and reduce the complexity of the overall calculation. For the analysis of complexity, this paper detects the time required for serial training and parallel training, intercepts the average value of the parameters of all nodes, and obtains the optimal number of nodes of this model. Finally, combined with the characteristics of music teaching, this paper designs a mobile MOOC music teaching platform based on convolutional neural network. The platform includes modules such as basic information management and music course resource construction and applies it to the actual music course teaching process. The performance of the algorithm and the feasibility of the system are verified by classroom activity test, hoping to provide some reference for the research in the field of music mixed education.
ORCLSim: A System Architecture for Studying Bicyclist and Pedestrian Physiological Behavior through Immersive Virtual Environments
Authors: Guo Xiang , Angulo Austin , Robartes Erin , Chen T. Donna , Heydarian Arsalan
Published: August 2022

Injuries and fatalities for vulnerable road users, especially bicyclists and pedestrians, are on the rise. To better inform design for vulnerable road users, we need to evaluate how bicyclist and pedestrian behavior and physiological states change in different roadway design and contextual settings. Previous research highlights the advantages of using immersive virtual environments (IVEs) in conducting bicyclist and pedestrian studies. These environments do not put participants at risk of injury, are low cost compared to on-road or naturalistic studies, and allow researchers to fully control variables of interest. In this paper, we propose a framework, Omni-Reality and Cognition Lab Simulator (ORCLSim), to support human sensing techniques within IVEs to evaluate bicyclist and pedestrian physiological and behavioral changes in different contextual settings. To showcase this framework, we present two case studies, where pilot data from five participants’ physiological and behavioral responses in an IVE setting are collected and analyzed, representing real-world roadway segments and traffic conditions. Results from these case studies indicate that physiological data are sensitive to road environment changes and real-time events in the IVE, especially changes in heart rate and gaze behavior. In addition, our preliminary data indicate participants may respond differently to various roadway settings (e.g., signalized vs. unsignalized intersections). By analyzing these changes, future studies can identify how participants’ stress level and cognitive load are impacted by the surrounding environment. The ORCLSim system architecture is a prototype that can be customized for future studies in understanding users’ behavioral and physiological responses in virtual reality settings.
Development and Construction of Internet of Things Training Practice Platform for Employment Skills Assessment
Authors: Zhang Xiaofeng
Published: August 2022

In order to solve the problem of employment skills assessment, a method using the Internet of Things training practice platform is proposed. The main content of this method is based on the research and analysis of the practical training platform of the Internet of Things. According to the data characteristics of the Internet of Things and through the construction of the practical platform, it is concluded that the development and construction of the practical training platform of the Internet of Things is highly feasible for the evaluation of employment skills. The experimental results show that the average RI value of data mining accuracy is 0.95, and the accuracy of data mining algorithm is high. Conclusion. It proves that the development and construction of the practical training platform of the Internet of things is feasible and accurate for the evaluation of employment skills.
Consumption Structure Optimization Strategy for Scenic Spots Using the Deep Learning Model under Digital Economy
Authors: Wang Yi , Li Na , Qu Xiaoe
Published: August 2022

The purpose is to find out the problems existing in the consumption economy structure of the scenic spots and to promote the rationalization of the consumption economy of the scenic spots. Based on the analysis of the applicability of the backpropagation neural network (BPNN) model, it uses BPNN to analyze the economic development level of Overseas Chinese Town East (OCT East). Firstly, the weight of each index is determined by the Analytic Hierarchy Process (AHP), and the expected value of the comprehensive evaluation is obtained. Secondly, to ensure the validity of the evaluation model for the development level of the tourism complex, the BPNN model is trained and tested to enable it to be applied to the evaluation of the economic development level of OCT East. The development level of OCT East from 2012 to 2021 is divided into three stages: high, higher, and lower. The development characteristics and existing problems of the OCT East are analyzed, and the optimization strategy of the consumption economy of the scenic spots is put forward in a targeted manner. The research results manifest, that from 2012 to 2021, the development level index of OCT East increased from 0.2457 to 0.5304, and it was in a state of steady growth. In 2019, the development level index reached 0.6497, and it was upgraded to “high-level,” but the average development level index of OCT East was only 0.5662, and there was a lot of room for improvement. According to the divided evaluation indicators, the development level of OCT East is evaluated. In 2012, the development level was low. From 2013 to 2018, it was at a high level, and from 2019 to 2021, it was a high level of development. By studying the Tourism Consumption Structure (TCS) of scenic spots in the OCT East, the research method of the consumption economic structure has been expanded. Therefore, it not only provides a reference for optimizing the consumption of scenic spots, but also contributes to the progress of the social tourism economy.
[Retracted] Diagnostic Significance of 3D Automated Breast Volume Scanner in a Combination with Contrast‐Enhanced Ultrasound for Breast Cancer
Authors: Yuan Quan , Song Canxu , Tian Yan , Chen Nan , He Xing , Wang Ying , Han Pihua
Published: August 2022

The incidence of cancer is increasing today, particularly lung and chest cancer. Employing novel methods to detect cancer in its earliest stages and discover painless, noninvasive treatments are urgently needed. The goal of the proposed study is to investigate the value of automated breast volume scanning (ABUS) in conjunction with contrast‐enhanced ultrasonography (CEUS) in properly diagnosing breast cancer in its early stages and the effectiveness of neoadjuvant chemotherapy (NAC) in treating the disease. For the research study, information on 98 patients who had NAC and surgery in the breast surgery department of the Shaanxi Provincial Cancer Hospital has been gathered. All patients have received four cycles of NAC and underwent conventional ultrasound (HUSS), CEUS, ABUS, and pathological examination. At the same time, receiver operating characteristic (ROC) curve analysis, single factor, multiple linear regression, and other methods have also been used to analyze the diagnostic efficacy of breast cancer and NAC efficacy evaluation results. The study of this paper is totally based on the data collected from Shaanxi Provincial Cancer Hospital. The statistical and computational analyses are performed on the data collected for drawing inferences. When the findings are compared to the results of the pathological examination, HUSS has demonstrated a significant distinction between benign and malignant diagnoses with a statistical value of P < 0.05.ABUS combined with CEUS has shown no considerable differences in correlation study. Except for negative likelihood ratio, the diagnostic performance indexes of CEUS+ ABUS are substantially higher than HHUS with P < 0.05. ROC curve analysis is also performed which shows that CEUS and ABUS combination has higher precision in the analysis of breast cancer. ABUS pooled with CEUS shows great application value in the judgment of breast cancer as per the results obtained from the statistical analysis on data of 98 patients.
Application of Artificial Freezing Method in Deformation Control of Subway Tunnel
Authors: Li Jie , Li Jinke , Cai Yuancheng , Wu Dingyi , Guo Chunxia , Zhao Wencai , Tang Kunjie , Liu Yuhang
Published: August 2022

The metro tunnel construction mainly passes through the downtown area, including ground buildings, infrastructure, underground pipelines, existing subway lines, and station floors. However, it is very difficult to control the ground deformation, especially in the water-rich soft ground or in the tunnel engineering construction with strict requirements for surface settlement control. The traditional stratum reinforcement method may not meet the engineering needs. In this case, the artificial freezing method (AFM) provides a solution for such engineering problems. This paper summarizes the basic principle and characteristics and application scope of AFM, and compared with the other three stratum reinforcement methods, AFM has better effect in controlling surface displacement and vault settlement, while grouting method, pipe shed method, and pipe curtain method have absolute advantages in controlling surface uplift. Then, through engineering examples, the reinforcement effect of AFM in the four aspects of subway connecting passage, shield inlet and outlet, interval tunnel, and damage repair is introduced. Through analysis, it is found that the reinforcement effect of AFM in water-rich weak stratum is very good. Finally, the future development of AFM is prospected in order to provide some experience and guidance for the follow-up research.
[Retracted] Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil
Authors: Liang Li
Published: August 2022

Heavy metal soil remediation is an important component in mitigating environmental problems, and microbial remediation has good treatment effect, good environmental affinity, and high treatment cost treatment efficiency. Numerical simulations of soil remediation effects enable the selection of suitable remediation methods and the determination of the optimal remediation input ratio. However, the current numerical simulation mainly relies on a single mathematical model, and the simulation error is large when applied to the microbial remediation with large variability. Numerical simulation methods of microbial remediation impacts of heavy metal contaminated soils will be investigated to overcome the foregoing problems. By researching the migratory law of heavy metal contaminated soil components, the process of microbial remediation of heavy metal contaminated soil will be examined, and a microbial proliferation model will be constructed. The numerical simulation of microbial remediation effect is realized by using HYDRUS to inverse solve the data of small laboratory tests and obtain the relevant parameters for numerical simulation. The maximum simulation error of the method studied at the time of testing was 2.1%, the simulation trend was consistent with the real remediation effect, and the simulation results were reliable. Although the simulation results of the numerical simulation method of the microbial remediation effect of heavy metal polluted soil proposed in this paper differ from actual values of the microbial remediation of heavy metals in soil, the overall trend of changes in soil heavy metal content is similar. It reveals that the outcomes of the approach investigated in this work are somewhat trustworthy when numerically modeling the effect of microbial remediation of heavy metals in soils. In other words, the numerical modeling approach utilized in this work to examine the impact of microbial remediation of heavy metal‐contaminated soil is highly precise and effective.
The Long Noncoding Transcript HNSCAT1 Activates KRT80 and Triggers Therapeutic Efficacy in Head and Neck Squamous Cell Carcinoma
Authors: Zhao Yixuan , Huang Xin , Zhang Zewei , Li Haizhou , Zan Tao
Published: August 2022

Head and neck squamous carcinoma (HNSC) is the most prevalent malignancy of the head and neck regions. Long noncoding RNAs (lncRNAs) are vital in tumorigenesis regulation. However, the role of lncRNAs in HNSC requires further exploration. Herein, through bioinformatic assays using The Cancer Genome Atlas (TCGA) datasets, rapid amplification of cDNA ends (RACE) assays, and RNA-FISH, we revealed that a novel cytoplasmic transcript, HNSC-associated transcript 1 (HNSCAT1, previously recognized as linc01269), was downregulated in tumor samples and advanced tumor stages and was also associated with favorable outcomes in HNSC. Overexpression of HNSCAT1 triggered treatment efficacy in HNSCs both in vivo and in vitro. More importantly, through high-throughput transcriptome analysis (RNA-seq, in NODE database, OEZ007550), we identified KRT80, a tumor suppressor in HNSC, as the target of HNSCAT1. KRT80 expression was modulated by lncRNA HNSCAT1 and presented a positive correlation in tumor samples (

R
=
0.52

,

p
<
0.001

). Intriguingly, we identified that miR-1245 simultaneously interacts with KRT80 and HNSCAT1, which bridges the regulatory function between KRT80 and HNSCAT1. Conclusively, our study demonstrated that lncRNA HNSCAT1 functions as a necessary tumor inhibitor in HNSC, which provides a novel mechanism of lncRNA function and provides alternative targets for the diagnosis and treatment of HNSC.
Influence of High-Protein Food on Physical Function of Athletes
Authors: Liu Shengze , Wen Nan , Su HanTao
Published: August 2022

In order to explore how high-protein foods can achieve effects on athletes’ bodies, the authors propose a study based on athletes’ physical performance. This method recommends key technical problems and solutions through the information represented by the athlete’s physical function and discovers how high-protein foods enable research into athletic performance. Research has shown that athletes perform high-intensity sports training for a long time, in a state of high-intensity competition, the body’s energy metabolism is strong, and the protein consumption rate is high; protein foods can preserve protein, water, electrolytes, and other nutrientsand supplement about 71% of the body’s nutrition, and it helps to strengthen muscles, relieve sports fatigue, improve immunity, etc., which is of great significance to athletes.
Soil Contamination and Infection of School Children by Soil-Transmitted Helminths and Associated Factors at Kola Diba Primary School, Northwest Ethiopia: An Institution-Based Cross-Sectional Study
Authors: Hussein Aschalew , Alemu Megbaru , Ayehu Animen
Published: August 2022

Background. Soil-transmitted helminths (STHs) are among the most prevalent parasitic worms infecting humans worldwide. They are still a major public health concern in the developing world, school-age children being the most affected segment of the population. Soil polluted with parasite ova and/or infective larvae is a source of human parasitic infections. There is a substantial shift in the notion of sanitation in many countries, and control of STHs contamination in the environment is becoming an emerging topic of research. However, data are scarce on the extent of soil contamination with STHs in Ethiopia in general and the study area in particular. Objective. This study aimed to determine the prevalence of STHs in soil, and school children and associated factors at Kola Diba primary school, Northwest Ethiopia. Methods. A school-based cross-sectional study was conducted in 2020 at Kola Diba primary school. A systematic random sampling technique was used to select 400 participants. About 150 soil samples were collected. A structured Amharic version questionnaire was used to collect data on sociodemographic variables and the factors associated with STH infection. Two grams of stool specimen was processed using the Kato-Katz technique. Data were entered and analyzed using STATA version 14.1. Binary and multiple logistic regressions were performed, and

P
<
0.05

was considered statistically significant. Result. The overall prevalence of soil-transmitted helminths was 50.0% with Ascaris lumbricoides (26.2%), hookworm species (16.5%), and Trichuris trichiura (3.5%). The overall soil contamination rate was 13.3% with A. lumbricoides (9.3%) and T. trichiura (4.0%). No habit of handwashing after toilet (AOR; 2.2, 95%CI: 1.3–3.6,

P

value = 0.002), no habit of regular shoe-wearing (AOR; 3.7, 95%CI: 2.1–6.2,

P

value <0.001), untrimmed fingernail status (AOR; 4.3, 95%CI: 2.6–7.1,

P

value <0.001), and playing with soil (AOR; 3.5, 95%CI: 2.2–5.7,

P

value <0.001) were significantly associated with STHs infection. Conclusion. The prevalence of STHs remains high among primary school children, with a considerable soil contamination rate. No habit of handwashing after defecation, untrimmed fingernail status, and no habit of regular shoe-wearing and playing with soil were significantly associated with the STHs infections.
Multiradiographic Diagnosis of Primary Hepatocellular Carcinoma and Evaluation of Its Postoperative Observation after Interventional Treatment
Authors: Tang Ning , Zhu Jing , Zeng Ying , Zhang Xiao , Zhou Jian
Published: August 2022

Objective. To investigate the focal imaging performance of MRI and CT multiphase dynamic enhancement scan examination in primary liver cancer patients, analyze its clinical diagnostic value, and provide a basis for early diagnosis of the disease. Methods. 236 patients with primary liver cancer admitted to our hospital from May 2019 to November 2021 were randomly divided into two groups, the control group was given MRI multiphase dynamic enhancement scan diagnostic method, and the observation group was given CT scan combined with the MRI diagnostic method. The patients’ examination results and pathological examination results were compared and analyzed, and the therapeutic effects of patients in the two groups after interventional treatment were compared. Results. After the imaging and pathological examinations of patients in both groups, it was found that the diagnostic accuracy of patients in the observation group and the therapeutic effect after interventional treatment were significantly better than those in the control group. Conclusions. Compared with CT multiphase dynamic enhancement scan, MRI multiphase dynamic enhancement scan can show multidirectional and multiangle lesions in primary hepatocellular carcinoma patients, with better characteristics of blood supply to hepatocellular carcinoma and a higher accuracy rate.
Data Mining Technology for Equipment Machinery and Information Network Data Resources
Authors: Zhang Wubing
Published: August 2022

In order to solve the problem of aviation equipment system maintenance, it is very difficult to judge the faulty finished product according to the fault phenomenon, the author proposes a data mining-based prediction model for aviation equipment failure finished products. The model takes historical fault record data as input, clusters a large number of fault descriptions through text clustering to obtain fault phenomenon clusters, and establishes a many-to-many relationship between “fault phenomenon” and “fault finished product.” A probability distribution algorithm for faulty finished products is proposed, and by matching new fault phenomena and fault phenomenon clusters, the probability distribution of faulty finished products is calculated. The experimental results show that after calling the model to complete the clustering of the fault information database, 18966 fault phenomenon clusters are obtained, and each fault phenomenon cluster contains 2.9 fault records on average, the many-to-many relationship between the fault phenomenon and the faulty finished product of the fault information database is successfully constructed. The model can effectively predict the probability distribution of products that may fail according to the fault description, and the prediction accuracy can be improved with the increase of the amount of data to meet the actual security needs.
QNUS: Reducing Terminal Resources in Quantum Secure Direct Communication Network Using Switches
Authors: Niu Peng-Hao , Zhang Fei-Hao , Chen Xiu-Wei , Wang Min , Long Gui-Lu
Published: August 2022

The quantum network is an indispensable step toward multiuser and wide-area information interchange in the course of the development of quantum technology. When designing and deploying a quantum network, availability, robustness, flexibility, and expenditure need to be considered in a balanced way. In this article, we propose a network connected through optical switches, QNUS, that requires only terminals in the number of nodes in a quantum network, which is a great saving of resources.
[Retracted] Effects of Valsartan on LN, FN, MDA, Renal Tissue Fibrosis, and Inflammatory Infiltration in DN Rats
Authors: Qin Yongting , Li Gugangzhi , Chen Juan , Qin Shuangli , Wang Shizhen , Chen Shanshan
Published: August 2022

The effects of valsartan on laminin (LN), fibronectin (FN), malondialdehyde (MDA), renal tissue fibrosis, and inflammatory infiltration in diabetic nephropathy (DN) rats are explored. A total of 42 SPF male Sprague D (SD) rats are selected and randomly divided into normal set, model set, valsartan low‐dose and high‐dose sets, and metformin set with 7 rats in each set. The kidney tissue of all rats is collected after administration. The standard of protein mRNA in kidney tissues is detected by real‐time fluorescence quantitative polymerase chain reaction (PCR) method, and the protein standard in kidney tissues is detected by western blot. The experimental results show that the application of valsartan to DN rats can effectively relieve the morphology of the rat kidney tissue, enhance the protein expression in the kidney tissue of the DN rats, and reduce the fibrosis and inflammatory infiltration of the kidney tissue.
Design of Online Education Information Management System Based on Data Mining Algorithm
Authors: Chen Wei , Ren Daowen , Pang Meiyan
Published: August 2022

Online education is the core field in China now, and many online education institutions have reached thousands or even thousands of teachers. A large amount of information has been gathered in the corresponding personnel management system modules and talent databases of the institution itself, such as personnel student status query management and performance evaluation analysis and management. How to reuse these data to transform existing data management into usable knowledge has become a problem that organizations should not underestimate. The purpose of this paper is to study the theoretical knowledge related to data mining algorithms, put forward the process and classification of data mining, and focus on the mining process and common methods of data classification rules. Experimental data shows that 31% of parents chose online education in 2019, compared with only 14% in 2017. Among them, the natural lack of offline education resources in third- and fourth-tier cities online education makes up for the lack of offline resources. The results show that third- and fourth-tier cities will become the driving force for the development of online education in the future.
External Application of Traditional Chinese Medicine in the Prevention and Treatment of Nausea and Vomiting Caused by Chemotherapy of Non-Small-Cell Lung Cancer: A RCT Study
Authors: Zhou Song-Jing , Tang Lin , Fu Yong-Jun , Yang Chang-Qing , Shi Jia
Published: August 2022

Objective. To investigate the external application of traditional Chinese medicine in the prevention and treatment of nausea and vomiting caused by chemotherapy of non-small-cell lung cancer. Methods. This is a prospective trial. A total of 114 patients with non-small-cell lung cancer who were hospitalized in our hospital from October 2020 to March 2022 were selected and randomly divided into the research group and the control group at the ratio of 1 : 1. The control group received chemotherapy + tropisetron 4 mg intravenous drip 30 minutes before chemotherapy./day × 3 days. The research group received chemotherapy + intravenous infusion of tropisetron 4 mg 30 minutes before chemotherapy, once a day for 3 days + external application of traditional Chinese medicine for 5 days. The therapeutic effects of the two groups of patients were compared. Results. After treatment, the serum creatinine, urea nitrogen, and endogenous creatinine in the research group were better than those in the control group (t = 15.943, 12.005, and 13.325;

P
=
0.001

, 0.005, and 0.005). After treatment, ALT and TBIL in the research group were superior to those in the control group (t = 11.583, 10.012, and 9.426;

P
=
0.001

, 0.002, and 0.001). After treatment, the physiological status, social/family status, emotional status, and family status of the research group were significantly better than those in the control group (t = 16.274, 5.379, 5.142, and 8.153;

P
=
0.005

, 0.000, 0.002, and 0.001). After treatment, the ECOG score and KPS score (82.46 ± 4.61) of the research group were significantly different from those of the control group (t = 11.913 and 9.357;

P
=
0.035

and 0.001). The effective rate (χ2 = 11.724;

P
=
0.000

) of the research group was higher but the incidence of adverse reaction (χ2 = 4.294;

P
=
0.001

) was lower than that of the control group. Conclusion. External application of traditional Chinese medicine can significantly reduce nausea and vomiting caused by chemotherapy of non-small-cell lung cancer and can improve the patient’s body and quality of life, which is worthy of clinical research and promotion.
[Retracted] Study on the Correlation between the Prevalence of Venous Thromboembolism in Kazak Pregnant and Lying‐In Women in Xinjiang
Authors: Tian Guanglei , Ci Hongbo , Song Wei , Zhu Bing , Chen Xiong , Ge XiaoHu
Published: August 2022

In order to reveal the correlation between the prevalence of venous thromboembolism in Kazak pregnant and lying‐in women in Xinjiang, the polymorphisms in the promoter region and coding region of the TAFI gene and the interaction of environmental factors are investigated. In this study, determination and analysis of anticoagulation indexes are conducted. The activity of antithrombin III and protein C is measured by chromogenic substrate method, and the activity of protein S is measured by coagulation method. Besides, the detection of APC‐R is performed by APC‐APTT method. The experimental results show that the prevalence rate of hereditary thrombophilia + DVT among Kazak pregnant women in Xinjiang is 33.8%, and the prevalence rates of AT‐III deficiency, PC deficiency, PS deficiency, APCR, and Hcy are 17.5%, 16.7%, 22.0%, 23.7%, and 26.8%, respectively. Also, the genotype frequency and allele frequency distribution of each group are in line with Hardy–Weinberg equilibrium (P > 0.05). The comparison result indicates that the gene frequency has reached a genetic balance and is representative of the population. It is clearly evident that the polymorphisms of prothrombin gene rs3136447 and rs5896 may be associated with hereditary thrombophilia in Xinjiang Kazaks.
Shear Strength Model for Reinforced Concrete Corner Joints Based on Soft Computing Techniques
Authors: Tariq Moiz , Khan Azam , Ullah Asad , Waseem Muhammad , Nasir Hassan , Jamil Irfan
Published: August 2022

The shear strength of cyclically loaded RC corner joints, resulting in opening and closing moments, has not been extensively studied. In addition, experimental studies of the joint shear strength are time‐consuming and expensive. Therefore, to overcome this challenge, two separate gene expression programming (GEP) based empirical models are developed for the shear strength of the corner joints, one under the opening moment and the other under the closing moments. One of the key parameters overlooked in previous studies is the joint shear reinforcement, which has been incorporated in the GEP models. These models are developed by compiling an experimental database of 59 specimens in terms of the concrete compressive strength, the joint aspect ratio, the reinforcement tensile strength, and the reinforcement compressive strength. A detailed statistical study is undertaken that indicates superior accuracy of the proposed models and a high potential for their application in the design practice.
Circ_001042 Inhibits TGF-β1/P38 MAPK Signaling Axis-Mediated Epithelial-Mesenchymal Transition and Metastasis in Lung Adenocarcinoma
Authors: Zhou Lixia , Chen Wenxian , Yang Hang , Liu Jiaqin , Meng Hui
Published: August 2022

Objective. To explore the role and molecular mechanism of circ_001042 in lung adenocarcinoma (LUAD). Methods. The expression level of circ_001042 and linear RNA MRPS35 in cells and clinical tissues was detected by real-time PCR (qRT-PCR). The expression of circ_001042 and transforming growth factor β1 (TGF-β1) in LUAD cells was elevated by the respective transfection of overexpression vectors OE-circ_001042 and TGF-β1; MTT and transwell assays were applied to test the proliferation, migration, and invasion abilities of cells, respectively. The E-cadherin expression level in the cells was assessed by immunofluorescence staining, and western blot was utilized to determine the expression level of epithelial-mesenchymal transition (EMT) and TGF-β1/P38 MAPK signaling axis-related proteins in the cells. Results. Circ_001042 was significantly downregulated in LUAD tissues and cells, and high circ_001042 expression could inhibit the proliferation, invasion, and migration of LUAD cells. In addition, circ_001042 also inhibited the EMT process (the E-cadherin level was upregulated; and the levels of N-cadherin, vimentin, and Snail were downregulated) and TGF-β1/P38 MAPK signaling axis activity in LUAD cells. Moreover, circ_001042 could suppress the promotion of TGF-β1 on the proliferation, invasion, migration, and EMT process of LUAD cells and the activation of TGF-β1/P38 MAPK signaling axis. Conclusion. By inhibiting TGF-β1, circ_001042 not only suppresses the proliferation, migration, invasion, and EMT of LUAD but also inhibits the activation of TGF-β1/P38 MAPK signaling axis. Therefore, circ_001042 can act as a potential target for early diagnosis and targeted therapy of LUAD.
Research on Children’s Cognitive Education Based on Pathological Linguistics
Authors: Hou Yuefang
Published: August 2022

The value of pathological linguistics in children’s cognitive development has attracted more and more experts’ attention. Based on pathological linguistics, this paper establishes an intervention system for children’s cognition-language assessment and cognitive education, guided by a set of fixed procedures, which can quickly collect children’s speech data in a short period of time. Based on this evaluation paradigm, the lab collected a large number of speech data of children aged 2-14 in the process of verbal communication. Based on the six linguistic dimensions of phonology, productivity, fluency, grammar, semantics, and logic, the corpus was subdivided into 16 indicators for manual annotation and machine recognition. A cognitive-language assessment database is established for language ability assessment and language barrier screening, and on this basis, the children’s language assessment and cognitive education intervention system is completed based on six modules: user, assessment, scale, resources, teaching, and data. Through experimental research, this paper proves that there are differences in the contribution rates of six language dimensions to the screening of children’s language disorders, and the top three are fluency (29.6%), pronunciation (25.7%), and productivity (19.3%). By analyzing the contribution rates, the development of children’s comprehensive speech ability can be evaluated more accurately. The early intervention education of children’s cognition has a great relationship with their comprehensive language ability. The intervention education before the age of 3 is beneficial to the language development of children with disabilities. Children’s cognitive education has improved in cognitive performance, cognitive generalization level, emotional cognition, and language expression, indicating that the use of cognitive education system has a good effect, improving the level of children’s cognitive education.
Stunting as a Risk Factor of Soil-Transmitted Helminthiasis in Children: A Literature Review
Authors: Fauziah Nisa , Ar-Rizqi Muhammad Abdurrahman , Hana Sofia , Patahuddin Nurul Mufliha , Diptyanusa Ajib
Published: August 2022

As a high-burden neglected tropical disease, soil-transmitted helminth (STH) infections remain a major problem in the world, especially among children under five years of age. Since young children are at high risk of being infected, STH infection can have a long-term negative impact on their life, including impaired growth and development. Stunting, a form of malnutrition in young children, has been long assumed as one of the risk factors in acquiring the STH infections. However, the studies on STH infection in children under five with stunting have been lacking, resulting in poor identification of the risk. Accordingly, we collected and reviewed existing related research articles to provide an overview of STH infection in a susceptible population of stunted children under five years of age in terms of prevalence and risk factors. There were 17 studies included in this review related to infection with Ascaris lumbricoides, Trichuris trichiura, hookworm, and Strongyloides stercoralis from various countries. The prevalence of STH infection in stunted children ranged from 12.5% to 56.5%. Increased inflammatory markers and intestinal microbiota dysbiosis might have increased the intensity of STH infection in stunted children that caused impairment in the immune system. While the age from 2 to 5 years along with poor hygiene and sanitation has shown to be the most common risk factors of STH infections in stunted children; currently there are no studies that show direct results of stunting as a risk factor for STH infection. While stunting itself may affect the pathogenesis of STH infection, further research on stunting as a risk factor for STH infection is encouraged.
Research Progress on the Mechanism of Right Heart-Related Pulmonary Edema
Authors: Li Yiran , Wang Xiaoqiang , Zong Ruiqing , Wu Feixiang , Lin Hai
Published: August 2022

Objective. To investigate the mechanisms underlying the development of right heart-associated PE. Background. Right heart-related pulmonary edema (PE) refers to PE resulting from impaired right heart function caused by primary or secondary factors, which is common in critically ill patients. Although the clinical manifestations of different types of right heart-related PE are similar, the pathophysiological changes and treatment methods are significantly different. According to the hemodynamic mechanism, right heart-related PE is primarily classified into two types. One is the increase of right heart flow, including extravascular compression, intravascular compression, cardiac compression, and cardiac decompression. The other type is the abnormal distribution of pulmonary circulation, including obstruction, resistance, pleural decompression, or negative pressure. With the development of hemodynamic monitoring, hemodynamic data not only help us understand the specific pathogenesis of right heart-related PE but also assist us in determining the direction of therapy and enabling individualized treatment. Summary. This article presents a review on right heart-associated PE, with a perspective of hemodynamic analysis, and emphasizes the importance of right heart function in the management of circulation. Understanding the mechanism of right heart-associated PE will not only aid in better monitoring right heart function but also help intensivists make a more accurate identification of various types of PE in the clinic.
The 22‐Item Benefit Finding Scale: Validation and Application among Patients with Cervical Cancer in Ethnic Minority Areas of Southwestern China
Authors: Peng Zhouyuan , Liu Ke , Zhang Yuting , Hong Qingyu , Sun Liyuan
Published: August 2022

Recently, the Benefit Finding Scale (BFS) has been translated and culturally adapted for use in China. However, further validation of the instrument is required before it can be used in the management of patients with cervical cancer in China. In this study, we conducted the questionnaire survey and examined its properties. This methodological study was conducted at a tumor hospital located in southwestern China. Patients with cervical cancer who had been reexamined in the outpatient department of the hospital and hospitalized from June to August 2019 were selected. The item analysis, exploratory factor analysis (EFA), and reliability analysis were tested. The relationships between benefit finding and sociodemographic and disease‐related variables were analyzed by ANOVA and regression models. A total of 247 patients were assessed (mean age: 48.0 ± 13.3 years). Educational level, self‐perceived disease severity, and physical exercise were the predictors of benefit finding. The correlation coefficient between 22 items and their dimensions was the best. EFA analysis supported a five‐factor model for structure validity. All Cronbach’s alpha for the Chinese version of the BFS (BFS‐C) was greater than 0.80. The results demonstrated the good reliability and validity of BFS‐C. It appears to be a useful scale to assess experience of benefit finding among patients with cervical cancer in China.
Hyperbolic (3+1)‐Dimensional Nonlinear Schrödinger Equation: Lie Symmetry Analysis and Modulation Instability
Authors: Kumar Vikas , Jiwari Ram , Djurayevich Aloev Rakhmatullo , Khudoyberganov Mirzoali Urazaliyevich
Published: August 2022

The hyperbolic nonlinear Schrödinger equation in the (3 + 1)‐dimension depicts the evolution of the elevation of the water wave surface for slowly modulated wave trains in deep water. Many researchers have studied the applicability and practicality of this model, but the analytical approach has been virtually absent from the literature. We adapted the lie symmetry analysis method to obtain a new complex solution in this work. The obtained complex solution contains bright and dark solitons. Furthermore, modulation instability is applied to this model to explain the interplay between nonlinear and dispersive effects. As a result, the modulation instability condition and the explosive rate are also discussed.
MiR-579 Inhibits Lung Adenocarcinoma Cell Proliferation and Metastasis via Binding to CRABP2
Authors: Yi Qijun , Miao Yu’e , Kong Ying , Xu Yan , Zhou Jinghao , Dong Qi , Liu Haiyan
Published: August 2022

Background. Lung cancer is the cancer with the highest morbidity and mortality. Lung adenocarcinoma (LUAD) is a subtype of lung cancer. The aim of this study is to explore the functions of miR-579 and CRABP2 in lung adenocarcinoma. Methods. Cell counting kit-8 (CCK-8) and colony formation assays were applied to calculate cell proliferative abilities. Transwell assay was utilized to measure cell invasive ability. Results. MiR-579 is low expressed in LUAD tissues and cell lines. MiR-579 inhibits cell viability and invasion of lung adenocarcinoma. Knockdown of CRABP2 inhibits cell proliferation and invasion of Calu-3 cells. MiR-579 suppresses cell proliferation and invasion by regulating CRABP2 in Calu-3 cells. Conclusion. Our study reveals that miR-579 acts as a tumor suppressor in LUAD and miR-579 can target and regulate the expression of CRABP2 to mediate cell proliferation and invasion. This study indicates that miR-579 has a potential to be a candidate biomarker for the treatment of LUAD.
Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning
Authors: T Rajendran , Valsalan Prajoona , J Amutharaj , M Jenifer , S Rinesh , Latha G Charlyn Pushpa , T Anitha
Published: August 2022

In the domain of remote sensing, the classification of hyperspectral image (HSI) has become a popular topic. In general, the complicated features of hyperspectral data cause the precise classification difficult for standard machine learning approaches. Deep learning-based HSI classification has lately received a lot of interest in the field of remote sensing and has shown promising results. As opposed to conventional hand-crafted feature-based classification approaches, deep learning can automatically learn complicated features of HSIs with a greater number of hierarchical layers. Because HSI’s data structure is complicated, applying deep learning to it is difficult. The primary objective of this research is to propose a deep feature extraction model for HSI classification. Deep networks can extricate features of spatial and spectral from HSI data simultaneously, which is advantageous for increasing the performances of the proposed system. The squeeze and excitation (SE) network is combined with convolutional neural networks (SE-CNN) in this work to increase its performance in extracting features and classifying HSI. The squeeze and excitation block is designed to improve the representation quality of a CNN. Three benchmark datasets are utilized in the experiment to evaluate the proposed model: Pavia Centre, Pavia University, and Salinas. The proposed model’s performance is validated by a performance comparison with current deep transfer learning approaches such as VGG-16, Inception-v3, and ResNet-50. In terms of accuracy on each class of datasets and overall accuracy, the proposed SE-CNN model outperforms the compared models. The proposed model achieved an overall accuracy of 96.05% for Pavia University, 98.94% for Pavia Centre dataset, and 96.33% for Salinas dataset.