bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Cable Climbing Robot Automation Control Technology in Bridge Cable Measuring System
Authors: Zhou Weihua , Bao Junqi , Liu Zhenzhi , Chen Zhengda
Published: February 2022

According to the traditional bridge cable measurement system, the accuracy of the bridge cable measurement is low, and the measurement time is long. Based on the automatic control technology of the climbing robot, a new bridge cable measurement system is designed. We design system hardware through CIS drive circuit, main controller, and communication module; design system software on the basis of hardware design; obtain the motion control equation of orthogonal joint cable climbing robot through DH transformation; and apply this equation to the bridge cable measurement system. The bridge cable measurement model is constructed, and the bridge cable measurement system design is completed through the system hardware design and software design. The simulation results show that the designed system has higher accuracy in measuring bridge cables and shorter measuring time.
Evaluation of [18F]tetrafluoroborate as a Potential PET Imaging Agent in a Sodium Iodide Symporter-Transfected Cell Line A549 and Endogenous NIS-Expressing Cell Lines MKN45 and K1
Authors: Niu Mengda , Qin Jingjing , Wang Liang , He Yujia , Tian Chuanhuizi , Chen Yanyan , Huang Pufeng , Peng Zhiping
Published: February 2022

[18F]tetrafluoroborate (TFB) has been introduced as the 18F-labeled PET imaging probe for the human sodium iodide symporter (NIS). Noninvasive NIS imaging using [18F]TFB has received much interest in recent years for evaluating various NIS-expressing tumors. Cancers are a global concern with enormous implications; therefore, improving diagnostic methods for accurate detection of cancer is extremely important. Our aim was to investigate the PET imaging capabilities of [18F]TFB in NIS-transfected lung cell line A549 and endogenous NIS-expressing tumor cells, such as thyroid cancer K1 and gastric cancer MKN45, and broaden its application in the medical field. Western blot and flow cytometry were used to assess the NIS expression level. Radioactivity counts of [18F]TFB, in vitro, in the three tumor cells were substantially higher than those in the KI inhibition group in the uptake experiment. In vivo PET imaging clearly delineated the three tumors based on the specific accumulation of [18F]TFB in a mouse model. Ex vivo biodistribution investigation showed high [18F]TFB absorption in the tumor location, which was consistent with the PET imaging results. These results support the use of NIS-transfected lung cell line A549 and NIS-expressing tumor cells MKN45 and K1, to investigate probing capabilities of [18F]TFB. We also demonstrate, for the first time, the feasibility of [18F]TFB in diagnosing stomach cancer. In conclusion, this study illustrates the promising future of [18F]TFB for tumor diagnosis and NIS reporter imaging.
Diffuse Large B Cell Lymphoma with Cutaneous and Gastrointestinal Involvement
Authors: Kyaw Aye-Mya-Mya , Aye Than-Than , Htun Lin-Lin
Published: February 2022

Diffuse large B cell lymphoma (DLBCL) is the histological subtype of non-Hodgkin’s lymphoma, representing approximately 30%. The most common primary extranodal sites of DLBCL are the gastrointestinal (GI) tract, the head and neck, and the skin/soft tissue. We report a case of DLBCL with cutaneous involvement presenting with skin nodules and GI manifestations such as obstructive jaundice and upper GI bleeding. Malignant cystic pancreatic tumor occupying the head and body with invasion to lower end of common bile duct and periampullary region causing biliary obstruction and mesenteric lymphadenopathy were found in abdominal computed tomography and endoscopic ultrasonography. There was also a large gastric ulcer (Forrest IIa) at the greater curvature of body of the stomach. Histopathological results of the skin and stomach were consistent with diffuse large B cell lymphoma; gastric biopsy being negative for leucocyte common antigen. The patient was considered to have disseminated DLBCL. The aim of the present case report was to present the clinical, radiological, and histological characteristics of the patient, which may aid physicians in diagnosing involvement of multiple extranodal sites in DLBCL.
A New Numerical Technique for Index‐3 DAEs Arising from Constrained Multibody Mechanical Systems
Authors: Benhammouda Brahim
Published: February 2022

Index‐3 differential‐algebraic equations (DAEs) are mathematical models for the dynamics of constrained multibody mechanical systems that arise in many applications. These DAEs are known to pose a challenge to numerical methods. The purpose of this paper is to propose a new approach to efficiently solve these equations. This approach relies on an effective combination of the power series method (PSM) with the Adomian polynomials. Here, the PSM is directly applied to these DAEs without using the usual index reduction techniques, which are costly and often lead to nonphysical solutions. We expand the nonlinear terms in a series form using the Adomian polynomials to overcome the limitation of the PSM in collecting the coefficients of the power series solution. This technique has led to a simple and efficient algorithm. The domain of convergence of the power series solution is expanded by developing a multistage PSM (MSPSM). To demonstrate the efficiency of the MSPSM and show its applicability, an index‐3 nonlinear DAE problem describing a two‐link planar robot arm is solved. The numerical results show that the MSPSM is a powerful tool for solving the index‐3 DAEs arising from constrained multibody mechanical systems.
Prevalence of Cardiovascular Disease Risk Factors in the Women Population Covered by Health Centers in Ardabil
Authors: Avesta Leli , Rasoolzadeh Sina , Naeim Mahdi , Kamran Aziz
Published: February 2022

Objective. This study aimed to determine the prevalence of cardiovascular risk factors in the population of women aged 30 to 60 years covered by health centers in Ardabil. Methods. This retrospective descriptive-analytical study was conducted on 1006 women aged 30 to 60 years who were covered by Ardabil comprehensive urban health service centers, and they were selected by using the multistage random sampling method. In the first stage, health centers in Ardabil were divided into five geographical areas, and the population covered by each of the five areas was calculated. In the second stage, the number of samples was allocated as a quota in the regions, and in the third stage, in proportion to the population covered by each center in Ardabil, the samples were selected. Women with one of the conditions of pregnancy, lactation, history of kidney disease, known diabetes under medication, history of hepatitis, history of cardiovascular surgery, and history of cancer were excluded from the research process. Results. The average activity of individuals was 24.42 minutes per day. The mean intake of fruits and vegetables was 1.9 ± 0.9 and 2.1 ± 1.07 unit/day, respectively, and meat was 286.6 ± 174.6 grams per week. The mean of HDL, LDL, TG, cholesterol, and FBS were 43.6 ± 10.4, 101.28 ± 26.3, 159.89 ± 54.01, 185.99 ± 37.9, and 94.62 ± 13.3 mg/dl, respectively. The mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 108.14 and 68.26 mmHg, respectively. Conclusions. Abdominal obesity (waist above 88), obesity and overweight (high body mass index), high triglycerides, high cholesterol, and LDL and HDL outside the proper range were the most important and risk factors for cardiovascular disease among women.
Application of Data Mining in the Settlement Management of Distribution Network Projects
Authors: Chen Weiting , Zhuang Shaojing , Lin Jia , Huang Shuanglan , Sheng Lijian , Cai Yuming , Wang Qingdong
Published: February 2022

With the development of intelligent technology, the distribution network has also ushered in a new round of upgrading and transformation. New technologies, equipment, and platforms will be introduced to bring innovative blood to the distribution network. This paper proposes a data mining settlement management method for distribution network projects. The improved K-means method is used to estimate the coefficients of each link of the project investment. When a large deviation of a certain coefficient is found, the investment adjustment is made immediately to avoid the overall investment. This method can save costs for infrastructure construction, through the data mining deeper, can form a standard, intelligent analysis method, realize based data acquisition to the output results from the application of rapid transformation, realize the material equipment price forecast and project construction cost and fast estimation, provide project decision-making more scientific and accurate, and make the whole process of project cost more accurate.
An Efficient Outlier Detection Approach for Streaming Sensor Data Based on Neighbor Difference and Clustering
Authors: Cai Saihua , Chen Jinfu , Yin Baoquan , Sun Ruizhi , Zhang Chi , Chen Haibo , Chen Jingyi , Lin Min
Published: February 2022

In wireless sensor networks (WSNs), the widely distributed sensors make the real-time processing of data face severe challenges, which prompts the use of edge computing. However, some problems that occur during the operation of sensors will cause unreliability of the collected data, which can result in inaccurate results of edge computing-based processing; thus, it is necessary to detect potential abnormal data (also known as outliers) in the sensor data to ensure their quality. Although the clustering-based outlier detection approaches can detect outliers from the static data, the feature of streaming sensor data requires the detection operation in a one-pass fashion; in addition, the clustering-based approaches also do not consider the time correlation among the streaming sensor data, which leads to its low detection accuracy. To solve these problems, we propose an efficient outlier detection approach based on neighbor difference and clustering, namely, ODNDC, which not only quickly and accurately detects outliers but also identifies the source of outliers in the streaming sensor data. Experiments on a synthetic dataset and a real dataset show that the proposed ODNDC approach achieves great performance in detecting outliers and identifying their sources, as well as the low time consumption.
Research on the Mechanism of the Role of Innovation‐Influencing Factors on the Performance of Construction Projects
Authors: Wang Shiming , Li Caiyun
Published: February 2022

At present, innovation has gradually become an inevitable trend of the digital transformation and competitive advantage of enterprises in the construction industry. In this paper, the structural equation model is constructed from four aspects of innovation‐influencing factors, such as hindering, driving, enabling, and investing, as well as project and enterprise performance. The participants of engineering construction projects from several regions in China have been investigated. Factor analysis and structural equation model analysis have been carried out on the collected data using SPSS and AMOS software. Both drive factors and enabling factorss can play an important role in promoting innovation input. As an intermediary variable, innovation input can directly stimulate project and enterprise performance, and the improvement of enterprise performance is also positively dependent on project performance.
Study of the Effect of Quenching on Microstructural and Magnetic Properties of Cu-Doped Mg-Ferrite
Authors: Poddar Apurba , Halder Suman , Liba S.I. , Hoque Sheikh Manjura , Sikder Shibendra Shekher
Published: February 2022

Mg1-xCuxFe2O4 (x = 0.0–0.5) was prepared by the double sintering ceramic method, which sintered at 1100°C and 1200°C for 3 hours and investigated for structural, microstructural, and magnetic properties as a function of the Cu content and cooling process. XRD analysis of 1100°C sintered samples revealed that all the samples were crystallized in a single-phase cubic spinal structure. The microstructural and magnetic properties of slow cooled (furnace-cooled) and fast cooled (quenched) Mg-Cu ferrites have been studied using the scanning electron microscope (SEM), vibrating sample magnetometer (VSM), and Mössbauer spectroscopy after sintering at 1200°C. Homogeneous coaxial grains did not form for any furnace-cooled samples, while for the quenched sample, homogeneous grains were clearly visible even without doping with Cu. Substantial grain growth was witnessed by the samples with higher copper content for both cooling conditions, whereas quenched samples possessed a smaller grain size compared to furnace-cooled samples. The saturation magnetization experienced a higher value for quenched samples compared to furnace-cooled samples with increasing Cu content except for x = 0.4. The sextet pattern of Mössbauer spectroscopy confirmed all the samples were ferromagnetic in nature. Chemical shift, quadrupole shift, hyperfine field, and site occupancy of Fe3+ were also obtained using Mössbauer spectroscopy.
The Application of Computer-Based Multimedia Technology in Cognitive Computing
Authors: Wang Yu
Published: February 2022

With the continuous development of science and technology, people’s research on computer-related technologies is gradually deepening. The proposal of artificial intelligence makes the research of intelligent AI in urgent need for seeking breakthroughs. Among them, cognitive computing methods are important for computers and human brain thinking. Model learning is even more meaningful. This article aims to study the application of computer-based multimedia technology in cognitive computing methods. For this, this article proposes a method of distributed multimedia technology and a method of two-way cognition for cognitive computing through this technology to deepen the rapid improvement of cognition. In addition, this article finally designed relating experiments to study it. The experimental results show that the cognitive accuracy of the improved cognitive computing method has increased by 32.9%, and the cognitive ability has also been greatly improved compared to the past.
Investigation of Formalin-Fixed Tissue Optical Characteristics in the Range of 200–500 GHz Using Pulsed Terahertz Reflection Spectroscopy to Differentiate Oral Malignant, Benign, and Cyst
Authors: Jenifer Isabella S. Stella , Sunitha K. A. , Magesh K. T , Arjunan Sridhar P. , Pesala Bala
Published: February 2022

The application of Terahertz electromagnetic waves to diagnose oral cancer was investigated. A single case of formalin-fixed oral squamous cell carcinoma (malignant), ameloblastoma (benign), and odontogenic keratocyst was examined using terahertz pulsed spectroscopy in the frequency span of 0.1–2 THz. The measured absorption coefficient, refractive index, and the extinction coefficient were reported to be high for malignant samples than benign and cyst. The THz results are validated with hematoxylin and eosin-stained microscopic images. The results demonstrate that the THz signal was shown to be consistently higher for the malignant sample compared to benign and the cyst. These results indicate that THz signals responded to the cell density by eliminating the effect of water.
[Retracted] Text Knowledge Acquisition Method of Collaborative Product Design Based on Genetic Algorithm
Authors: Li Chongyuan , Yang Mengmeng
Published: February 2022

In order to overcome the problems of poor clustering effect and large error of text knowledge acquisition in traditional text knowledge acquisition methods, a new text knowledge acquisition method of collaborative product design based on genetic algorithm is proposed in this paper. The definition of collaborative product design text knowledge clustering is given. According to the operation process of the genetic algorithm, the chromosomes of clustered text are constructed and encoded and the initial population is obtained. The fitness function of clustering is constructed by the DB index evaluation method; the selection, crossover, and mutation operators in the genetic algorithm are determined; and the objective function of collaborative product design text knowledge clustering is constructed. After the text knowledge clustering is completed, the text knowledge data of collaborative product design are obtained in an all‐around way by using the method of rough set and neural network. The experimental results show that compared with the traditional text knowledge acquisition methods, the clustering effect of the proposed method is better and the text knowledge error is reduced up to 0.02.
Modeling of the English Translation Complex System Based on Discrete Data Mining
Authors: Bian Ruirui
Published: February 2022

This paper provides an in-depth analysis and research on the application of web discrete data mining in modeling complex systems for English translation. This paper adopts association rule mining, clustering, and classification methods to deeply analyze English translation, mine the interesting rules in it, find out the interinfluence relationship of system modeling and the relationship between translation behaviors, analyze and compare different data mining methods, and make an evaluation of the mining results to provide a scientific reference basis for the relevant decision-making scheme of the English translation. The paper elaborates the relevant concepts of data mining and the theoretical basis and analysis process of association rule mining, clustering rule mining, and classification rule mining methods. The application of data mining techniques in modeling and analysis of complex systems of the English translation is highlighted, and these three mining methods are used to analyze a set of English sample data: through the analysis of the correlation of different English translations, some feasible suggestions are provided for the order of translation settings; through the analysis of clustering of English translations, the shortcomings of traditional translation methods are made up; through the analysis of the factors affecting the accuracy of English translations factors, a useful reference is provided on how to improve English translation and then improve the quality of translation.
On the Positioning and Market Selection of Opera Performance Art Based on Industrial Data Mining
Authors: Yu Kaixi , Choi Hyunju
Published: February 2022

The opera performance market is maturing, and at the same time, new opera performance and marketing methods are being introduced on a regular basis to meet the growing spiritual needs of the audience. It is the foundation for opera to achieve its business goals by going to the market and completing commodity exchange. The success of opera performances on the market has a direct impact on whether they can achieve market success and achieve the ultimate goal of maximizing profits. An in-depth analysis and discussion of industrial data mining technology in the positioning and market selection of opera performance art is presented in this paper, and it is of great theoretical and practical importance for improving the positioning and market selection of opera performance art and promoting the development of the opera performance industry. The application of artistic orientation and market selection in industrial data mining will be developed, which will aid in the systematic development of artistic orientation and market selection in opera performance of industrial data mining systems, improve industrial data mining efficiency, and promote the application of artistic orientation and market selection in opera performance of industrial data mining systems.
Exploration of Crucial Factors Involved in Plants Development Using the Fuzzy AHP Method
Authors: Upadhyay Hemant , Juneja Abhinav , Turabieh Hamza , Malik Sapna , Gupta Ankur , Bitsue Zelalem Kiros , Upadhyay Chanchal
Published: February 2022

Remarkable changes in the environment have been impacting the production ability of plants. Few variation strategies are available to adapt for the outcomes of environmental changes such as maximum and minimum temperature in the development phase of the plants. A large portion of the plants expresses affectability to saltiness of the dirt. Considering the tediousness of various kinds, it is needful to perceive the possible obstructions in plants development. However, it has been observed that critical factors in plants development are required to be explored. The prime objective of this current work is for analysis of the chosen critical factors in plants development. Nine critical factors in plants development are shortlisted from the extensive literature reviewing in three categories, “climate factors”, “terrestrial factors”, and “human factors” with the help of experts’ inputs. Fuzzy analytical hierarchy process (FAHP) methodology has been selected for ranking of critical factors in plants development. Raw information is gathered from an online survey from twenty-five botanists, academicians, researchers, and agriculture scientists. The results may become very helpful in the strategy in developing efficient planning for dealing with critical factors in plants development.
Effects of Strategic Choices for the Postmerger Manufacturer on Supply Chain Members
Authors: Zhang Huailiang , Zhou Yan , Jiang Minghui
Published: February 2022

To investigate the impact of different strategies adopted by the merged firm on supply chain members, we consider a two‐tier supply chain involving two suppliers and multiple manufacturers. Different from most studies, manufacturers, downstream in the supply chain, are asymmetric and produce differentiated products. Due to the differences between products, the postmerger manufacturer can choose focus strategy to generate synergy effect or differentiation strategy to implement price collusion. We give equilibrium results for the supply chain under different strategies. Theoretical analysis shows that for supplier, no matter which strategy is chosen, the price sensitivity for suppliers will increase. Surprisingly, the merger has the opposite effect on the profits of two suppliers under differentiation strategy. Regarding the strategic options after the merger, our research indicates that with the increased substitutability between products, shifting from differentiation strategy to focus strategy should be taken by the postmerger manufacturer. In addition, when focus strategy is chosen and the synergy effect is weak, or when differentiation strategy is chosen and the substitution between products is small, the merger may be beneficial to nonparticipating manufacturers.
Construction and Risk Analysis of Marketing System Based on Deep Neural Network
Authors: Yang Xuelian , Bai Jin , Wang Xiaolin
Published: February 2022

Enterprises needs to realize the unity of economic and social benefits. From the marketing theory, we know that the economic and social benefits form a symbiotic effect, which determines that enterprises need to pay attention to their own service quality. The current risks are in the areas of “customer relationship management” and “customer technical support,” specifically, the inability to effectively meet the needs of customers in terms of corporate infrastructure and product details, as well as the increase in costs for other customer services. The article firstly completes the construction of marketing risk early warning system, analyzes marketing risk types and formation factors, constructs indicators and mathematical modeling, then proposes the ANN combined with Petri algorithm, which is used to realize marketing risk early warning, completes sample selection and indicator quantification, sets up the early warning model, and conducts false alarm and false alarm degree analysis.
An Extension of Karrup–King–Newton Index
Authors: Chesneau Christophe , Lodhi Abdul Majeed , Khan Sadaf , Nasir Jamal Abdul , Onyango Ronald , Jamal Farrukh
Published: February 2022

To evaluate the erroneous age reporting, there are several demographic methods available depending upon the type of age data. For example, in the case of single year of age data, some of the most commonly used measures in literature are the Whipple index, Myers index, Bachi index, and modified Whipple indices. This paper proposes a new modification of the Karup–King–Newton index as a general measure to check the quality of age distortion. When we compare the modified Karup–King–Newton index to the original index, it appears to be more adequate in terms of the estimation objective. Also, the proposed index is based on the same linearity assumption and practically gives the same result and direction as the original Karup–King–Newton index.
Effect of Acupoint Catgut Embedding for Middle-Aged Obesity: A Multicentre, Randomised, Sham-Controlled Trial
Authors: Chen Xia , Huang Wei , Wei Dan , Zhao Ji-Ping , Zhang Wei , Ding De-Guang , Jiao Yang , Pan Hong-Ling , Zhang Jia-Jia , Zhong Feng , Gao Feng , Jin Yi-Ting , Zheng Yi-Wei , Zhang Yan-Ji , Huang Qiao , Zeng Xian-Tao , Zhou Zhong-Yu
Published: February 2022

Objectives. This study aimed to examine the efficacy and safety of acupoint catgut embedding (ACE) for obesity over a 16-week treatment period using sham stimulation as the control. Methods. A multicenter, randomised, parallel, sham-controlled trial was conducted from February 10, 2017, to May 15, 2018. Men with waistlines ≥85 cm and women with ≥80 cm at three sites were randomised to receive eight sessions (over 16 weeks) of ACE (n = 108) or sham ACE (n = 108) with skin penetration at sham acupoints. The catgut was embedded once every two weeks using two alternating sets of acupoints. The follow-up lasted for an additional 24 weeks. The primary outcome was the percentage waistline reduction from baseline to week 16. Results. We included 216 individuals in the intention-to-treat analysis. At 16 weeks, the rate of waistline reduction was 8.80% (95% confidence interval (CI), 7.93% to 9.66%) in the ACE group and 4.09% (95% CI, 3.18% to 5.00%) in the sham control group, with a between-group difference of 4.71% (95% CI, 3.47% to 5.95%;

P

 < 0.0001). This difference persisted throughout the entire follow-up period (between-group difference after 24-week additional weeks, 4.94% (95% CI, 3.58% to 6.30%);

P

 < 0.001). The subgroup analyses of waistline by sex (male/female) revealed treatment effects of 1.93 (95% CI, −0.37 to 4.23,

P

 = 0.1) in the male group and 3.19 (95% CI, 1.99 to 4.39,

P

 < 0.001) in the female group. The adverse event analysis suggested that ACE and laboratory tests confirmed the safety of ACE. Discussion. ACE for 16 weeks could decrease the waistline and weight and was safe for the treatment of obesity. Further research is needed to evaluate the long-term efficacy and sex differences. This trial is registered with NCT02936973.
Corneal Nerve Parameter Reference Values for Chinese Adults Assessed by Corneal Confocal Microscopy
Authors: Cao Juan , Qu Jingru , Odilov Bekzod , Lu Bin , Zhang Yuanpin , Li Lili , Zhang Yuan , Xiong Qian , Hong Yu , Li Jianqiao , Shen Yunfeng , Hou Xinguo
Published: February 2022

Background. Confocal corneal microscopy is an excellent new noninvasive tool for assessing diabetic peripheral neuropathy. We aimed to investigate the clinical variables associated with corneal nerve parameters and establish reference values for clinical use in healthy Chinese adults. Methods. The study enlisted 257 healthy volunteers (137 females and 120 males) from two clinical academic centers in China. Two experts captured and selected images of the central corneal subbasal nerve plexus at each center using the same corneal confocal microscopy instrument according to a commonly adopted protocol. Corneal nerve fiber density (CNFD), corneal nerve branch density (CNBD), and corneal nerve fiber length (CNFL) were measured using fully automated software (ACCMetrics). The correlation between clinical indicators and confocal corneal microscopy measures was determined using partial correlation. Quantile regression was used to calculate reference values and estimate the effects of clinical factors on the normative values of confocal corneal microscopy measures. Results. Females had significantly higher CNFD, CNBD, and CNFL than males. There was no correlation between age, glycated hemoglobin (HbA1c), height, weight, body mass index (BMI), and any corneal nerve fiber parameter in both sexes. In either sex, age, weight, height, BMI, and HbA1c did not affect the 0.05th quantile values of any corneal nerve parameter. Conclusions. This study establishes sex-adjusted reference values for corneal confocal microscopy measures in Chinese adults and provides a reference for clinical practice and research with this technique.
Development of Loop-Mediated Isothermal Amplification Combined with Lateral Flow Dipstick Assay for a Rapid and Sensitive Detection of Cystic Echinococcosis in Livestock in Kenya
Authors: Badoul Nasser Arreh , Kagira John , Ng’ong’a Florence , Dinka Hunduma
Published: February 2022

Background. Cystic echinococcosis is a zoonotic disease caused by the metacestode stage of Echinococcus granulosus and occurs worldwide, causing considerable economic losses and public health problems. The currently available methods for the diagnosis of animal hydatidosis are time-consuming and require well-equipped laboratories which make them incompatible with testing in resource-poor settings. This study developed and evaluated a rapid, more sensitive, and specific loop-mediated isothermal amplification combined with a lateral flow dipstick assay for the rapid and sensitive detection of cystic echinococcosis. Results. In this study, a specific primer set and FITC-labeled probe targeting the conserved region of the NADH-1 gene were designed. The LAMP reaction was performed at 60°C for 40 minutes, and the amplification products were successfully visualized by LFD strips. The analytical sensitivity of LAMP-LFD was determined using 10-fold serial dilutions of E. granulosus DNA. The minimal concentration detected was 10 fg/μl, and no cross-reactivity was observed with DNA extracted from Taenia solium, Taenia saginata, and Fasciola hepatica. The ability of the developed LAMP-LFD assay to detect cystic echinococcosis was further evaluated with 62 cyst samples from slaughtered cattle in Juja Abattoir, Kiambu County, Kenya. The LAMP-LFD was able to detect 59/62 (95.2%, 95% CI 0.87–0.98) as positive samples of E. granulosus compared to 53/62 (85.5%, 95% CI 0.75–0.92) by nested PCR assay. Conclusion. Our results indicated that the developed LAMP-LFD technique was more sensitive than the nested PCR assay, rapid, and easy to perform with a simple visual detection of products. Therefore, it could be an important point-of-care diagnostic tool for cystic echinococcosis.
The lncRNA SEMA3B-AS1/HMGB1/FBXW7 Axis Mediates the Peritoneal Metastasis of Gastric Cancer by Regulating BGN Protein Ubiquitination
Authors: Huang Guoquan , Xiang Zhenxian , Wu Haitao , He Qiuming , Dou Rongzhang , Yang Chaogang , Song Jialin , Huang Sihao , Wang Shuyi , Xiong Bin
Published: February 2022

Peritoneal metastasis (PM) is one of the main causes of a poor prognosis in patients with advanced gastric cancer (GC). lncRNAs have been confirmed to play a very crucial role in the occurrence, development, and metastasis of many human cancers, including gastric cancer. However, the mechanism of lncRNA in PM of GC is rarely studied. We explored the mechanism of PM of GC through lncRNA gene sequencing and protein profiling analysis to detect PM-associated lncRNAs and proteins. A quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to identify the mRNA expression of SEMA3B-AS1 and BGN in GC tissues and adjacent normal tissues. The biological function of SEMA3B-AS1 in the PM of GC was identified through gain- and loss-of-function assays. Chromatin isolation by RNA purification (ChIRP), RNA immunoprecipitation (RIP), RNA pull-down, luciferase reporter, and coimmunoprecipitation (co-IP) assays was carried out to demonstrate the potential mechanism between SEMA3B-AS1 and its downstream genes, including HMGB1, FBXW7, and BGN. Finally, the biological function of SEMA3B-AS1 was demonstrated in animal experiments. The mRNA expression level of SEMA3B-AS1 was downregulated in GC and PM tissues compared to normal stomach tissues; however, BGN was highly expressed at the mRNA level. SEMA3B-AS1 was closely related to PM and the overall survival (OS) of GC patients. Functionally, the overexpression of SEMA3B-AS1 was related to GC progression, PM, and prognosis. Mechanistically, SEMA3B-AS1 could combine with HMGB1 to regulate the transcription of FBXW7, thus facilitating the ubiquitination of BGN. In conclusion, our study demonstrated that the SEMA3B-AS1/HMGB1/FBXW7 axis plays an inhibitory role in the PM of GC by regulating BGN protein ubiquitination. It also provides a new biological marker for the diagnosis and treatment of the PM of GC.
Establishment and Experimental Verification of Stress-Temperature Coupled Damage Model of Warm Frozen Soil
Authors: Wei Shan , Tao Yang , Ying Guo , Zhichao Xu , Chengcheng Zhang
Published: February 2022

Under the background of rising environmental temperature, the state of warm frozen soil near the phase transition is extremely unstable. In order to explore the relationship between temperature and mechanical properties of warm frozen soil, a damage model of warm frozen soil structure under the coupling of stress and temperature is established based on the strain equivalent theory of damage mechanics. Based on the Mohr-Coulomb criterion, the nominal stress is used to represent the stress damage of frozen soil elements, the initial elastic modulus is used to represent the temperature damage, and a composite damage factor is introduced to describe their coupled relationship. Through a triaxial compression experiment of frozen soil, the experimental data and stress-strain curve are obtained. The full-fitting method based on the experimental data (method 1) and the semitheoretical semifitting method based on the characteristic points of the stress-strain curve (method 2) are used to obtain the shape parameters and scale parameters of the stress-temperature coupled damage model corresponding to different fitting methods. Based on the triaxial compression tests of frozen sand and frozen silty clay, the reliability of the stress-temperature coupled damage model results obtained by the two parameter determination methods under the conditions of strain softening and strain hardening is verified. The results show that both methods are applicable under the condition of strain softening and strain hardening and method 2 is better than method 1 under the condition of strain softening. Compared with the prediction results of the single stress damage model, the stress-temperature coupled damage model can effectively reduce the influence of the parameter estimation error on the results and improve the overall stability of the model.
Risk Factors for and Clinical Outcomes of Polymicrobial Acinetobacter baumannii Bloodstream Infections
Authors: Qian Zhenhua , Zhang Shufang , Li Na , Ma Weixing , Zhang Kai , Song Feizhen , Zheng Cheng , Zhong Li , Wang Yesong , Cai Jiachang , Zhou Hongwei , Cui Wei , Zhang Gensheng
Published: February 2022

Background. Although the clinical features of Acinetobacter baumannii bloodstream infection are well described, the specific clinical characteristics of polymicrobial Acinetobacter baumannii bloodstream infection have been rarely reported. The objective of this study was to examine the risk factors for and clinical outcomes of polymicrobial Acinetobacter baumannii bloodstream infection. Methods. A retrospective observational study was performed from January 2013 to December 2018 in a tertiary hospital. All patients with Acinetobacter baumannii bloodstream infection were enrolled, and the data were collected from the electronic medical records. Results. A total of 594 patients were included, 21% (126/594) of whom had polymicrobial infection. The most common copathogen was Klebsiella pneumoniae (20.81%), followed by Pseudomonas aeruginosa (16.78%) and Enterococcus faecium (12.08%). Compared with monomicrobial Acinetobacter baumannii bloodstream infection, polymicrobial Acinetobacter baumannii bloodstream infection mostly originated from the skin and soft tissue (28.6% vs. 10.5%, p < 0.001). Multivariate analysis revealed that burn injury was independently associated with polymicrobial Acinetobacter baumannii bloodstream infection (adjusted odds ratio, 3.569; 95% confidence interval, 1.954‐6.516). Patients with polymicrobial Acinetobacter baumannii bloodstream infection were more likely to have a longer hospital length of stay [40 (21, 68) vs. 27 (16, 45), p < 0.001] and more hospitalization days after bloodstream infection than those with monomicrobial Acinetobacter baumannii bloodstream infection [22 (8, 50) vs. 13 (4, 28), p < 0.001]. However, no significant difference in mortality was observed between the two groups. Conclusions. Approximately one‐fifth of Acinetobacter baumannii bloodstream infections were polymicrobial in this cohort. The main sources were skin and soft tissue infections, and burn injury was the only independent risk factor. Although mortality did not differ between the groups, considering the limitations of the study, further studies are required to assess the impact of polymicrobial (vs. monomicrobial) Acinetobacter baumannii bloodstream infection on outcomes.
Improved Cloud Auditing Protocol and Its Application for Pandemic Data Management
Authors: Wang Xu An , Yi Zhengge , Yang Xiaoyuan , Zhang Jindan , Xie Yun , Zhang Manman , Wu Guixin
Published: February 2022

Data integrity verification mechanisms play an important role in cloud environments. Recently, a lightweight identity-based cloud storage audit scheme has been proposed; this paper points out security vulnerabilities of their OffTagGen algorithm. That is, the attackers such as malicious cloud servers can forge the tags, which can destroy data integrity. By improving the construction of OffTagGen algorithm, an improved security cloud auditing protocol is proposed in this work to better protect user’s privacy. The analysis shows that the new protocol is effective and resistant to attacks.
Emodin Alleviates High-Glucose-Induced Pancreatic β-Cell Pyroptosis by Inhibiting NLRP3/GSDMD Signaling
Authors: Xing Yiqian , He Yuchi , Zhang Yuan , Wang Heting , Peng Sihan , Xie Chunguang , Kang Jian , Liu Ya , Zhang Xiyu
Published: February 2022

Diabetes mellitus (DM) is a chronic noninfectious disease that is mainly featured by pancreatic β-cell (β-cell) dysfunction and impaired glucose homeostasis. Currently, the pathogenesis of dysfunction of the β-cells in DM remains unclear, and therapeutic approaches to it are limited. Emodin (EMD), a natural anthraquinone derivative, has been preliminarily proven to show antidiabetic effects. However, the underlying mechanism of EMD on β-cells still needs to be elucidated. In this study, we investigated the protective effects of EMD on the high glucose (50 mM)-induced INS-1 cell line and the underlying mechanism. INS-1 cells were treated with EMD (5, 10, and 20 μM) when exposed to high glucose. The effects of EMD were examined by using the inverted phase-contrast microscope, qRT-PCR, ELISA, and western blot. The results showed that EMD could alleviate cellular morphological changes, suppress IL-1β and LDH release, and promote insulin secretion in high-glucose-induced INS-1 cells. Furthermore, EMD inhibits NOD-like receptor protein 3 (NLRP3) activation and gasdermin D (GSDMD) cleavage to alleviate pyroptosis induced by high glucose. Overexpression of NLRP3 reversed the above changes caused by EMD. Collectively, our findings suggest that EMD attenuates high-glucose-induced β-cell pyroptosis by inhibiting NLRP3/GSDMD signaling.
Utilizing Bioinformatics Technology to Explore the Potential Mechanism of Danggui Buxue Decoction against NSCLC
Authors: Yu Bin , Lv Guangyao , Sohail Muhammad , Li Zhiyong , Li Yanli , Yu Meiyu , Sun Fuyou , Xu Hui
Published: February 2022

While lung cancer poses a serious threat to human health, non-small-cell lung cancer (NSCLC) is the most common type of lung cancer. Danggui Buxue Decoction (DBD) is a classical traditional antitumor medicine commonly used in China. However, the potential mechanism of DBD against NSCLC has not yet been expounded. Therefore, this study clarified the potential molecular mechanism and key targets of DBD in NSCLC treatment through several technological advances, such as network pharmacology, molecular docking, and bioinformatics. Firstly, the relative active ingredients and key DBD targets were analyzed, and subsequently, a drug-ingredient-target-disease network diagram was constructed for NSCLC treatment with DBD, resulting in the identification of five main active ingredients and ten core targets according to the enrichment degree. The enrichment analysis revealed that DBD can achieve the purpose of treating NSCLC through the AGE-RAGE signaling pathway in diabetic complications. Secondly, the molecular docking approach predicted that quercetin and hederagenin have the best working mechanisms with PDE3A and PTGS1, while the survival analysis results depicted that high PDE3A gene expression has a relatively poor prognosis for NSCLC patients (

p
<
0.05

). Additionally, PDE3A is mainly distributed in the LU65 cell line that originated from Asian population. In summary, our study results showed that DBD can treat NSCLC through the synergistic correlation between multiple ingredients, multiple targets, and multiple pathways, thus effectively improving NSCLC prognosis. This study not only reflected the medicinal value of DBD but also provided a solid structural basis for future new drug developments and targeted therapies.
Intelligent Optimization of QoS in Wireless Sensor Networks Using Multiobjective Grey Wolf Optimization Algorithm
Authors: Nabavi Seyed Reza , Osati Eraghi Nafiseh , Akbari Torkestani Javad
Published: February 2022

With the advancement of technology and the emergence of new types of communication networks, new solutions have emerged to protect the environment and monitor natural resources. Wireless sensor networks (WSNs) have revolutionized environmental science and research by embedding sensors in environments where constant access and monitoring by manpower is difficult. WSNs have a variety of uses in the military, environmental monitoring, medicine, robotics, and so on. With the advent of applications in WSNs, the fundamental problem of the network has also increased. The performance of WSNs is influenced by various parameters that are varied according to the applications. In general, the performance of a WSN is typically specified through its average energy use, which determines the lifespan of the grid. A WSN should acquire the ability for controlling the overall performance of the network for ensuring the transmission of information based on quality of service (QoS) parameters in order to maximize the satisfaction of the services for the application. Therefore, we provided a multiobjective grey wolf optimization algorithm (QAMO-GWO) in order to optimize routing and improve QoS in WSNs. In the proposed method, sensor nodes receive information about the environment over regular periods of time and send it to the cluster heads in each. The selection of cluster heads in each cluster is done using a multiobjective grey wolf optimization algorithm. MO-GWO algorithm via balancing QoS parameters tries for selecting the optimal cluster heads. Finally, simulation outputs showed that the proposed method has been able to improve QoS criteria due to balancing the goals in the network.
CL-BC: A Secure Data Storage Model for Social Networks
Authors: Xu Dawei , Wang Weiqi , Zhu Liehuang , Zhao Jian , Wu Fudong , Gao Jiaqi
Published: February 2022

While bringing convenience to people, social networks cause various security problems, such as information leakage, which belongs to the security category of data storage. The related research focuses more on the confidentiality design and lacks the discussion of data integrity protection technology. Thus, the electronic data editability invites the risk of data tampering and destruction, making other operations meaningless once the data are inaccurate. A social network-oriented data security storage model, CL-BC, included conceptual design, preliminary framework design, and detailed flow design, to improve the security threats such as overauthorization and illegal execution in data storage. The blockchain technology is combined with the improved Clark–Wilson model to achieve data integrity access control protection through execution rules and authentication rules. The system uses the subalgorithm of DR-BFT for reference when deploying the algorithm program and adopts the intelligent contract to complete the design rules. The experimental analysis shows the CL-BC model adapts to the actual security environment, ensures the data storage integrity in the social network stored process, and has application value.
Quantitative Determination of Sucrose Adulterated in Red Ginseng by Terahertz Time-Domain Spectroscopy (THz-TDS) with Monte Carlo Uninformative Variable Elimination (MCUVE) and Support Vector Regression (SVR)
Authors: Pan Shubao , Zhang Huo , Li Zhi , Chen Tao , Yin Xianhua
Published: February 2022

This paper introduces a method to detect the content of sucrose, an adulterant of red ginseng, based on terahertz spectroscopy. Experiments were carried out on red ginseng with 6 levels of adulterated concentrations using terahertz time-domain spectroscopy (THz-TDS). We separately extracted the information of the terahertz spectral curve by principal component analysis (PCA) and Monte Carlo uninformative variable elimination (MCUVE) and then separately performed quantitative analysis by partial least squares regression (PLSR) and support vector regression (SVR). Because the nonlinear line factor in the terahertz spectral curve of red ginseng samples is considered, the MCUVE-SVR has high correlation coefficient (>0.99) and ratio prediction to deviation (>7.4), low root means square error of deviation (<1.2%), and Bias (<0.05%). The results prove that MCUVE-SVR can be regarded as an ideal quantitative analysis method in the detection of sucrose incorporation in red ginseng by terahertz spectroscopy.