bluuebunny/crossref_metadata_2025 huggingface dataset:
The Failure Mechanism and Stability of the End Slope of Inclined Composite Coal Seam
Authors: Li Haoran , Du Han , Bai Runcai , Liu Guangwei , Zhao Mingyuan , Liu Rongzheng
Published: October 2021

In view of the inclined occurrence of coal seam in Heishan open-pit coal mine, in the longitudinal exploitation process of the first mining area, the height of the slope at the west end is increasing, and the occurrence of weak interlayer in the slope is in production. The failure mechanism and stability of the end slope of the inclined composite coal seam, which is typical of the West end slope of Heishan open-pit mine, are studied by means of field investigation, theoretical analysis, limit equilibrium analysis, and numerical simulation. The factors affecting the stability of the western side slope and the potential landslide mode are analyzed. The residual thrust method and simplified Bishop method were used to study the stability of two potential landslide modes on the western slope, and the landslide mode, final slope angle, and slope morphology were determined. FLAC3D was used to simulate the western end of the slope, reveal its landslide mechanism, and clarify the evolution law of the slope rock mass displacement. The results show that the landslide mode at the west end of the first mining area is the combined sliding mode of “cutting and bedding.” With the decrease of longitudinal mining depth, the final slope angle functions from 40° to 37°. The stress and strain are concentrated at the weak layer of the coal floor of the western side slope 13-2 and at the foot of the slope. Meanwhile, the failure also occurs inside the slope. The internal cracks connect through the weak layer of the coal floor and slide along the weak layer of the coal floor 13-2. The displacement evolution law of the slope monitoring point shows that the deformation of the slope is mainly horizontal displacement, the maximum displacement deformation is at the foot of the slope, and the degree of displacement deformation of the slope surface is obviously greater than that of the inside of the slope.
Lifestyle‐Induced Redox‐Sensitive Alterations: Cross‐Talk among the RAAS, Antioxidant/Inflammatory Status, and Hypertension
Authors: Szabó Renáta , Börzsei Denise , Hoffmann Alexandra , Lesi Zelma Nadin , Gesztelyi Rudolf , Juhász Béla , Szebeni Gábor J. , Osman Jasmin , Sebestyén Judith , Nagy Arnold , Szegedi Sándor , Varga Csaba , Pósa Anikó
Published: October 2021

The development and progression of hypertension are closely linked to an unhealthy lifestyle; however, its underlying mechanisms are not fully elucidated. Our aim was to assess the effects of diet and exercise on the elements of the renin–angiotensin–aldosterone system (RAAS), redox‐sensitive parameters, and the expression of the vascular tone regulator endothelial nitric oxide synthase (eNOS). Male control Wistar‐Kyoto (WKY) and stroke‐prone spontaneously hypertensive (SHRSP) rats were randomized based on the type of diet (standard chow, high‐fat diet: HT, and fructose‐enriched diet: HF) and exercise (voluntary wheel‐running exercise or lack of exercise). After 12 weeks of experimental period, the concentrations of the RAAS elements, myeloperoxidase (MPO) activity, tumor necrosis factor alpha (TNF‐α) concentrations, levels of superoxide dismutase (SOD) and glutathione (GSH), and expressions of extracellular signal‐regulated kinase1/2 (ERK1/2) and phosphorylated ERK1/2 as well as eNOS were measured in the cardiac tissue of WKY and SHRSP rats. We found that the RAAS elements were overactivated under hypertension and were further elevated by HT or HF diet, while HT and HF diet enhanced MPO and TNF‐α parameters as well as the expression of pERK1/2; SOD, GSH, and eNOS levels were decreased. These changes occurred in WKKY rats and reached the statistically significant level in SHRSP animals. 12 weeks of exercise compensated the adverse effects of HT and HF via alleviating the concentrations of the RAAS elements and inflammatory markers as well as increasing of antioxidants. Our findings prove that SHRSP rats are more vulnerable to lifestyle changes. Both the type of diet and exercise, as a nonpharmacological therapeutic tool, can have a significant impact on the progression of hypertension.
Experimental and Theoretical Investigations of Terahertz Spectra of the Structural Isomers: Mannose and Galactose
Authors: Zhang Tongjun , Yan Shasha , Hao Jianjun , Li Dehua
Published: October 2021

The high-resolution terahertz spectra of the two structural isomers, mannose and galactose, have been measured by terahertz time-domain spectroscopy (THz-TDS) in the range of 0.5–4.0 THz at room temperature. Significant differences between these similar molecules have been found in their THz characteristic spectra, implying that THz-TDS is a powerful tool for identifying isomers. Structural analyses and normal mode calculations of the two systems were performed using solid-state density functional theory (DFT) with the PBE and PW91 density functionals as well as using gas-state DFT with B3LYP hybrid functional. Among these calculations, the solid-state simulated results obtained from the PBE method exhibit a good agreement with the experimentally measured spectra. According to the calculated results of PBE, the observed spectral features were assigned as primarily external lattice translations, deformations, and rotations with lesser contributions due to intramolecular motion of pyranose ring, CH2OH group, and hydroxyl groups.
Prediction of Dengue Incidence in the Northeast Malaysia Based on Weather Data Using the Generalized Additive Model
Authors: Masrani Afiqah Syamimi , Nik Husain Nik Rosmawati , Musa Kamarul Imran , Yasin Ahmad Syaarani
Published: October 2021

Introduction. Dengue, a vector‐borne viral illness, shows worldwide widening spatial distribution beyond its point of origination, namely, the tropical belt. The persistent hyperendemicity in Malaysia has resulted in the formation of the dengue early warning system. However, weather variables are yet to be fully utilized for prevention and control activities, particularly in east‐coast peninsular Malaysia where limited studies have been conducted. We aim to provide a time‐based estimate of possible dengue incidence increase following weather‐related changes, thereby highlighting potential dengue outbreaks. Method. All serologically confirmed dengue patients in Kelantan, a northeastern state in Malaysia, registered in the eDengue system with an onset of disease from January 2016 to December 2018, were included in the study with the exclusion of duplicate entry. Using a generalized additive model, climate data collected from the Kota Bharu weather station (latitude 6°10 ′N, longitude 102°18 ′E) was analysed with dengue data. Result. A cyclical pattern of dengue cases was observed with annual peaks coinciding with the intermonsoon period. Our analysis reveals that maximum temperature, mean temperature, rainfall, and wind speed have a significant nonlinear effect on dengue cases in Kelantan. Our model can explain approximately 8.2% of dengue incidence variabilities. Conclusion. Weather variables affect nearly 10% of the dengue incidences in Northeast Malaysia, thereby making it a relevant variable to be included in a dengue early warning system. Interventions such as vector control activities targeting the intermonsoon period are recommended.
Effectiveness of Extracorporeal Shock Wave Therapy Reduces Leg Cramps in Patients of Lumbar Degenerative Disorders: A Retrospective Study
Authors: Li Bang-zhi , Li Heng-fei , Zhang Zhi-wen , Li Yang , Wang Wei , Xiong Yong
Published: October 2021

Background. The extracorporeal shock wave therapy (ESWT) has been fully utilized in orthopedics, but there are few studies in the treatment of lower limb spasm and pain caused by lumbar degenerative disorders (LDD). This study assesses the influence of ESWT in patients with LDD. Methods. From October 2017 to June 2019, 126 patients with LDD were enrolled. All patients received shock wave therapy, once every two days for four weeks in total. Each treatment consisted of 2,000 shocks with a frequency of 8‐10 shocks per second. To analyze the therapeutic progress, the following tests were performed (before and after therapy; 1‐ and 3‐month follow‐up) to assess pain and functional efficiency: (1) Visual Analog Scale (VAS), (2) the frequency and duration of muscle cramps, and (3) Fugl‐Meyer (LL). Results. Mean BMI of the participants was 26.1 ± 3.0 kg/m2. There was no statistically significant difference in terms of age or BMI between the groups (p > 0.05). Although all scoring parameters improved in both groups, the improvement in the ESWT group was more pronounced in pain (p < 0.001 and p < 0.001, respectively). A review of the LMA scores of our patients demonstrated moderate functional limitations before treatment and increased functional status after treatment in all patients, while overall functional status was fully improved in patients of the ESWT group (p < 0.001). Conclusion. The ESWT is particularly effective effect for patients with LDD. The use of ESWT has a significant long‐term influence on the reduction of pain, leg cramps, and the improvement of the general functional state in relation to the conventional motor improvement program.
Real‐Time Twitter Trend Analysis Using Big Data Analytics and Machine Learning Techniques
Authors: Rodrigues Anisha P. , Fernandes Roshan , Bhandary Adarsh , Shenoy Asha C. , Shetty Ashwanth , Anisha M.
Published: October 2021

Twitter is a popular microblogging social media, using which its users can share useful information. Keeping a track of user postings and common hashtags allows us to understand what is happening around the world and what are people’s opinions on it. As such, a Twitter trend analysis analyzes Twitter data and hashtags to determine what topics are being talked about the most on Twitter. Feature extraction and trend detection can be performed using machine learning algorithms. Big data tools and techniques are needed to extract relevant information from continuous steam of data originating from Twitter. The objectives of this research work are to analyze the relative popularity of different hashtags and which field has the maximum share of voice. Along with this, the common interests of the community can also be determined. Twitter trends plan an important role in the business field, marketing, politics, sports, and entertainment activities. The proposed work implemented the Twitter trend analysis using latent Dirichlet allocation, cosine similarity, K means clustering, and Jaccard similarity techniques and compared the results with Big Data Apache SPARK tool implementation. The LDA technique for trend analysis resulted in an accuracy of 74% and Jaccard with an accuracy of 83% for static data. The results proved that the real‐time tweets are analyzed comparatively faster in the Big Data Apache SPARK tool than in the normal execution environment.
In Vitro Biofilm Formation on Aryl Ketone Polymer (AKP), A New Denture Material, Compared with That on Three Traditional Dental Denture Materials
Authors: Martin Cadie , Purevdorj-Gage Laura , Li Wei , Shary Timothy J. , Yang Bin , Murphy Ryan J. , Wu Christine D.
Published: October 2021

Control of denture plaque biofilms is a practical approach to preventing persistent oral infections such as denture stomatitis. Objectives. This study compared in vitro biofilm attachment and growth on a new denture material, Ultaire® AKP, with that on traditional denture materials including cobalt chrome (CoCr), polymethyl methacrylate (PMMA), and polyoxymethylene (POM). Methods. Microbial biofilms were grown with cultures of Candida albicans, Streptococcus mutans UA159, or a mixed Streptococcus spp. (S. mutans 700610/Streptococcus sanguinis BAA-1455) for 6 hours in a static protocol or 24 hours in a dynamic protocol for each material. Adherent biofilm cells were removed, and viable colony-forming units (CFUs) were enumerated. Confocal microscopy of the 24-hour Streptococcus spp. biofilms was used to determine biofilm mass and roughness coefficients. Results. The rank order of C. albicans attachment after 6 hours was CoCr > PMMA

∗

 > Ultaire® AKP

∗

(

∗

vs CoCr,

p
≤
0.05

), and that for 24-hour biofilm growth was CoCr > Ultaire® AKP

∗

 > PMMA

∗

(

∗

vs CoCr,

p
≤
0.05

). The rank order of S. mutans biofilm attachment was CoCr > POM > Ultaire® AKP

∗

 > PMMA

∗

(

∗

vs CoCr,

p
≤
0.05

), and that for the 24-hour Streptococcus spp. biofilm growth was POM > Ultaire® AKP > PMMA > CoCr

∗

(

∗

vs POM,

p
≤
0.05

). Confocal images revealed structural differences in Streptococcus spp. biofilms on CoCr compared with the other test materials. Significantly lower roughness coefficients of Streptococcus spp. biofilms on Ultaire® AKP were noted, suggesting that these biofilms were less differentiated. Ultaire® AKP promoted significantly less C. albicans and S. mutans biofilm attachment than CoCr at 6 hours and C. albicans growth at 24 hours. Streptococcus spp. biofilms on Ultaire® AKP were less differentiated than those on other test materials. Conclusion. In addition to its material strength, Ultaire® AKP represents an attractive option for denture material in removable partial dentures.
Development and Validation of a Novel Mitophagy-Related Gene Prognostic Signature for Hepatocellular Carcinoma Based on Immunoscore Classification of Tumor
Authors: Chen Hao , Wang Jinghua , Zeng Ruijie , Luo Yujun , Guo Kehang , Wu Huihuan , Yang Qi , Jiang Rui , Sha Weihong , Zhuo Zewei
Published: October 2021

Emerging evidence suggested that mitophagy may play an important role in the progression of hepatocellular carcinoma (HCC), whereas the association between mitophagy-related genes and HCC patients’ prognosis remains unknown. In this study, we aimed to investigate the potential prognostic values of mitophagy-related genes (MRGs) on HCC patients at the genetic level. According to median immunoscore, we categorized HCC patients from TCGA cohort into two immune score groups, while 39 differential expression MRGs were identified. By using univariate analysis, we screened out 18 survival-associated MRGs, and then, the least absolute shrinkage and selection operator (LASSO) analysis was applied to construct a prognosis model that consisted of 9 MRGs (ATG7, ATG9A, BNIP3L, GABARAPL1, HTRA2, MAP1LC3B2, TFE3, TIGAR, and TOMM70). In our prognostic model, overall survival in the high and low-risk groups was significantly different

P
<
0.001

, and the respective areas under the curve (AUC) of our prognostic model were 0.686 for 3-year survival in the TCGA cohort and 0.776 for 3-year survival in the ICGC cohort. Moreover, we identified the risk score as the independent factor for predicting the HCC patients’ prognosis by using single and multifactor analyses, and a nomogram was also constructed for future clinical application. Further functional analyses showed that the immune status between two risk groups was significantly different. Our findings may provide a novel mitophagy-related gene signature, and these will be better used for prognostic prediction in HCC, thus improving patient outcome.
Tradeoff‐HARQ Scheme for Full‐Duplex SWIPT DF Relay
Authors: Shi Xiaoye , Zhu Haiting , Ding Fei , Zhang Zhaowei , Bao Nan
Published: October 2021

The SWIPT (simultaneous wireless information and power transfer) DF (decoding and forwarding) relay system could achieve the purpose of both increasing revenue and reducing expenditure. By analysing the system model and transmission characteristics of full‐duplex relay, this paper optimizes the retransmission slot structure to enhance the system performance. Firstly, the state transition model is established based on the analysis of the retransmission slot structure. Secondly, the state probability of each state and the transition probability between states are calculated to obtain the total data passing rate, energy transmission efficiency, and total transmission time. Thirdly, in order to compare the performance of various HARQ (hybrid automatic repeat request) schemes more effectively, JNTP (joint normalized throughput of information transmission and energy transmission) is constructed. Monte Carlo simulations finally confirm that the proposed tradeoff‐HARQ scheme outperforms the regular‐HARQ scheme in terms of JNTP: the performance of the tradeoff‐HARQ scheme is 0.03883 higher than that of the regular‐HARQ scheme when the total power limit is 20 dB and 0.00651 higher than that of the regular‐HARQ scheme when the total power limit is 30 dB.
Dynamic Learning Rate in Deep CNN Model for Metastasis Detection and Classification of Histopathology Images
Authors: Johny Anil , Madhusoodanan K. N.
Published: October 2021

Diagnosis of different breast cancer stages using histopathology whole slide images (WSI) is the gold standard in determining the grade of tissue metastasis. Computer-aided diagnosis (CAD) assists medical experts as a second opinion tool in early detection to prevent further proliferation. The field of pathology has advanced so rapidly that it is possible to obtain high-quality images from glass slides. Patches from the region of interest in histopathology images are extracted and trained using artificial neural network models. The trained model primarily analyzes and predicts the histology images for the benign or malignant class to which it belongs. Classification of medical images focuses on the training of models with layers of abstraction to distinguish between these two classes with less false-positive rates. The learning rate is the crucial hyperparameter used during the training of deep convolutional neural networks (DCNN) to improve model accuracy. This work emphasizes the relevance of the dynamic learning rate than the fixed learning rate during the training of networks. The dynamic learning rate varies with preset conditions between the lower and upper boundaries and repeats at different iterations. The performance of the model thus improves and attains comparatively high accuracy with fewer iterations.
Dynamic Observation of the Effect of L-Theanine on Cerebral Ischemia-Reperfusion Injury Using Magnetic Resonance Imaging under Mathematical Model Analysis
Authors: Ye Hui , Liu Zaiming , Zhou Long , Cai Qiang
Published: October 2021

This study was to use the partial differential mathematical model to analyze the magnetic resonance imaging (MRI) images of cerebral ischemia-reperfusion injury (CIRI) and to dynamically observe the role of L-theanine in CIRI based on this. 30 patients with cerebral ischemia in a hospital in a certain area were selected and divided into a cerebral ischemia group and a L-theanine treatment group. The two groups of patients were examined by MRI within 48 hours, and the relative apparent diffusion coefficient (rADC) of the cerebral ischemic part of the patients was determined. The partial differential mathematical model was used for data processing to obtain the function of cerebral ischemia time and infarct area, and the data of patients in the cerebral ischemia group and L-theanine treatment group were compared and analyzed. The results showed that the partial differential mathematical model could effectively analyze the linear relationship between the rADC value and time in the treatment of CIRI using L-theanine. The rADC values of the four points of interest in the L-theanine treatment group all increased with time, and there was a positive correlation between the variables X and Y. In observing the efficacy indicators of L-theanine, the L-theanine treatment group showed a significant advantage in the neurospecific enolase (NSE) content compared with the cerebral ischemia group (

P
<
0.01

), and the neurological function score of the L-theanine treatment group gradually decreased and showed a statistically obvious difference on the 7th day of treatment (

P
<
0.05

). In summary, it was verified in this study that the role of L-theanine in the treatment of CIRI was of a great and positive significance for the subsequent treatment of patients with cerebral ischemia, providing reliable theoretical basis and data basis for clinical treatment of CIRI.
An Experimental Study on a Composite Bonding Structure for Steel Bridge Deck Pavements
Authors: Zheng Xiaoguang , Ren Qi , Xiong Huan , Song Xiaoming
Published: October 2021

As one of the major contributors to the early failures of steel bridge deck pavements, the bonding between steel and asphalt overlay has long been a troublesome issue. In this paper, a novel composite bonding structure was introduced consisting of epoxy resin micaceous iron oxide (EMIO) primer, solvent‐free epoxy resin waterproof layer, and ethylene‐vinyl acetate (EVA) hot melt pellets. A series of strength tests were performed to study its mechanical properties, including pull‐off strength tests, dumbbell tensile tests, lap shear tests, direct tension tests, and 45°‐inclined shear tests. The results suggested that the bonding structure exhibited fair bonding strength, tensile strength, and shear strength. Anisotropic behaviour was also observed at high temperatures. For epoxy resin waterproof layer, the loss of bonding strength, tensile strength, and shear strength at 60°C was 70%, 35%, and 39%, respectively. Subsequent pavement performance‐oriented tests included five‐point bending tests and accelerated wheel tracking tests. The impacts of bonding on fatigue resistance and rutting propagation were studied. It was found that the proposed bonding structure could provide a durable and well‐bonded interface and was thus beneficial to prolong the fatigue lives of asphalt overlay. The choice of bonding materials was found irrelevant to the ultimate rutting depth of pavements. But the bonding combination of epoxy resin waterproof and EVA pellets could delay the early‐stage rutting propagation.
Automated Diagnosis and Localization of Melanoma from Skin Histopathology Slides Using Deep Learning: A Multicenter Study
Authors: Li Tao , Xie Peizhen , Liu Jie , Chen Mingliang , Zhao Shuang , Kang Wenjie , Zuo Ke , Li Fangfang
Published: October 2021

In traditional hospital systems, diagnosis and localization of melanoma are the critical challenges for pathological analysis, treatment instructions, and prognosis evaluation particularly in skin diseases. In literature, various studies have been reported to address these issues; however, a prominent smart diagnosis system is needed to be developed for the smart healthcare system. In this study, a deep learning-enabled diagnostic system is proposed and implemented that it has the capacity to automatically detect malignant melanoma in whole slide images (WSIs). In this system, the convolutional neural network (CNN), sophisticated statistical method, and image processing algorithms were integrated and implemented to locate benign and malignant lesions which are extremely useful in the diagnoses process of melanoma disease. To verify the exceptional performance of the proposed scheme, it is implemented in a multicenter database, which has 701 WSIs (641 WSIs from Central South University Xiangya Hospital (CSUXH) and 60 WSIs from the Cancer Genome Atlas (TCGA)). Experimental results have verified that the proposed system has achieved an area under the receiver operating characteristic curve (AUROC) of 0.971. Furthermore, the lesion area on the WSIs is represented by its degree of malignancy. These results show that the proposed system has the capacity to fully automate the diagnosis and localization problem of the melanoma in the smart healthcare systems.
Expression of Cysteine-Rich Secreted Acidic Protein in Multiple Myeloma and Its Effect on the Biological Behavior of Cancer Cells
Authors: Pan Qiqun , Li Tangfei , Luo Zhangqin , Pan Pengji
Published: October 2021

The multiple myeloma is a malignant clonal tumor of bone marrow plasma cells that is incurable and inevitably recurrent. The mechanisms of progression include tumor cell metastasis, immune escape, resistance to apoptosis, and malignant proliferation. The cysteine-rich secreted acidic protein is closely related to the growth, development, remodeling, and repair of cells and tissues. In our study, we divided myeloma patients and patients with other blood diseases into groups and measured the cysteine-rich secreted acidic protein (SPARC) content in the serum of different groups of patients as well as the prognostic differences. The U266 cells were transfected with interfering vectors and overexpressed SPARC vectors to determine the physiological functions of MM cells. Our results showed that SPARC was highly expressed in MM and the survival rate of the high SPARC expression group was lower than that of the low expression group. Interfering SPARC vectors inhibited cancer cell proliferation, migration, and invasion and promoted apoptosis. Overexpression of SPARC vectors promoted cancer cell development. SPARC affected the patient’s disease development by regulating the biological behavior of the MM cells.
Performance Analysis of Vibration Sensors for Closed‐Loop Feedback Health Monitoring of Mechanical Equipment
Authors: Xiao Yue , Li Yan , Chu Changbao
Published: October 2021

In this paper, we analyze the performance of mechanical equipment through a closed‐loop feedback health monitoring vibration sensor, develop an OTDR optical signal reception and the processing module, and realize the reception, amplification, and filtering of the backscattered optical signal. In terms of vibration signal demodulation, the FPGA signal processing module was developed and debugged to realize the intermodulation with OTDR optical signal reception processing module and the preprocessing of the vibration data stream by taking advantage of the FPGA in parallel high‐speed data stream processing. The objective function is constructed based on the dynamic data of the first four vertical frequencies of the modal recognition and the static data of the constant‐load cable force of the inclined cable, and the third‐order response surface method is applied to fit the response surface function of each correction target. The errors between the corrected FEM calculated values and the measured results are within 5%. The results were compared with the results of static and dynamic corrections, and the results showed that the joint static and dynamic corrections using the third‐order response surface could obtain a finite element model that was more comprehensive and closer to the actual engineering response. A 180° feedback gain is set in the mass detection system to reduce the system’s equivalent mass and increase the system resonant frequency. An inverse lock‐in amplifier is used instead of a high‐frequency bandpass filter to spectrally migrate the useful frequencies and better filter out noise interference. A thin‐film microresonant pressure sensor, a cantilever beam microresonant gas sensor, and a microresonant biosensor were designed and developed using the micromachining process. A closed‐loop feedback method was used to design a low‐frequency detection system, a medium‐frequency detection system, and a high‐frequency feedback detection based on a phase‐locked loop system, completed open‐loop and closed‐loop detection experiments of the intrinsic frequency of the sensor, through‐pressure experiments of the pressure sensor, low and medium frequency gas‐sensitive experiments of the gas sensor, and high‐frequency detection experiments of the biosensor oxygen absorption/deoxygenation, and measured the mass of individual oxygen molecules.
Integrated miRNA‐mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis
Authors: Li Chao , Hong Zhantong , Ou Miaoling , Zhu Xiaodan , Zhang Linghua , Yang Xingkun
Published: October 2021

Ovarian cancer is one of the leading causes of gynecological malignancy‐related deaths. The underlying molecular development mechanism has however not been elucidated. In this study, we used bioinformatics to reveal critical molecular and biological processes associated with ovarian cancer. The microarray datasets of miRNA and mRNA expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Besides, we performed target prediction of the identified differentially expressed miRNAs. The overlapped differentially expressed genes (DEGs) were obtained combined with miRNA targets predicted and the DEGs identified from the mRNA dataset. The Cytoscape software was used to design a regulatory network of miRNA‐gene. Moreover, the overlapped DEGs in the network were subjected to enrichment analysis to explore the associated biological processes. The molecular protein‐protein interaction (PPI) network was used to identify the key genes among the DEGs of prognostic value for ovarian cancer, and the genes were evaluated via Kaplan‐Meier curve analysis. A total of 186 overlapped DEGs were identified. Through miRNA‐gene network analysis, we found that miR‐195‐5p, miR‐424‐5p, and miR‐497‐5p highly exhibited targeted association with overlapped DEGs. The three miRNAs are critical in the regulatory network and act as tumor suppressors. The overlapped DEGs were mainly associated with protein metabolism, histogenesis, and development of the reproductive system and ocular tissues. The PPI network identified 10 vital genes that promote tumor progression. Survival analysis found that CEP55 and CCNE1 may be associated with the prognosis of ovarian cancer. These findings provide insights to understand the pathogenesis of ovarian cancer and suggest new candidate biomarkers for early screening of ovarian cancer.
[Retracted] Sports Injury Risk Assessment Based on Blockchain and Internet of Things
Authors: Liu Jihua
Published: October 2021

With the increase of people’s exercise in today’s society, how to exercise scientifically and healthily has attracted much attention. Therefore, sports injury risk assessment and monitoring system has attracted more and more attention in real‐time, flexibility, intelligence, and other aspects. To solve the above problems, this paper proposes a sports injury risk assessment based on blockchain and Internet of Things. By introducing computational power weight, a computational power balance D‐H algorithm based on Internet of Things blockchain network architecture is proposed. It can provide a secure and trusted interactive environment for the Internet of Things. On the basis of blockchain and Internet of Things, a multisensor data fusion algorithm is proposed to be applied to the analysis and evaluation of sports injury. A variety of physiological parameters of human motion state are collected through multisensor, the collected physiological parameters are processed by data fusion, and finally, sports injury risk assessment is carried out. The built system takes the embedded esp8266wifi module as the hardware processing core and uses body temperature sensor, blood pressure sensor, EMG sensor, and pulse sensor to form wearable devices. By wearing wearable devices, four human physiological parameters such as body temperature, blood pressure, electromyography, and pulse can be collected. In the process of decision level fusion, different weights are set for the focal elements causing information conflict, and the optimized D‐S evidence theory algorithm is used. Thus, according to the data detected by multisensor, the injury risk of user motion state is evaluated.
Analysis of the Curative Effect and Influencing Factors of Collagen Sponge Combined with Autologous Skin Graft in the Treatment of Deep Burn Patients
Authors: Cai Jian , Jiang Duyin , Zang Wei
Published: October 2021

Burn is one of the common traumatic diseases in clinics. After deep burn, the complicated changes of the condition are caused by the burn wound, which ends with the repair of the wound. For patients with deep burns, whether the wound can be repaired as soon as possible is the key to the success of clinical treatment. For patients with deep burns, due to the lack of an autologous skin source, scar hyperplasia at donor site, skin graft repair at donor site, postoperative flap necrosis, and other problems in traditional surgical procedures, the method of improving function only by an autologous skin source has been unable to perform the later function reconstruction in patients with deep burns. In this study, collagen sponge combined with autologous skin graft was used to treat patients with deep burn, and the clinical efficacy of the patients was observed, and the related factors affecting the efficacy of the patients were analyzed. The results showed that collagen sponge combined with autologous skin graft was effective in the treatment of deep burn patients, and it was worth popularizing. Deep III-IV degree burns, wound infection, and hospital stay >3 months are all risk factors affecting the postoperative curative effect of patients. Therefore, in the clinical work, we should focus on patients with deep III-IV degree burns, perform surgery as soon as possible, and actively deal with wounds to prevent infection, which is beneficial to improve the curative effect.
Screening Hub Genes of Hepatocellular Carcinoma Based on Public Databases
Authors: Gao Shan , Zhu Dongjie , Zhu Jian , Shen Lianqiang , Zhu Ming , Ren Xuefeng
Published: October 2021

Tumor recurrence and metastasis often occur in HCC patients after surgery, and the prognosis is not optimistic. Hence, searching effective biomarkers for prognosis of is of great importance. Firstly, HCC-related data was acquired from the TCGA and GEO databases. Based on GEO data, 256 differentially expressed genes (DEGs) were obtained firstly. Subsequently, to clarify function of DEGs, clusterProfiler package was used to conduct functional enrichment analyses on DEGs. Protein-protein interaction (PPI) network analysis screened 20 key genes. The key genes were filtered via GEPIA database, by which 11 hub genes (F9, CYP3A4, ASPM, AURKA, CDC20, CDCA5, NCAP, PRC1, PTTG1, TOP2A, and KIFC1) were screened out. Then, univariate Cox analysis was applied to construct a prognostic model, followed by a prediction performance validation. With the risk score calculated by the model and common clinical features, univariate and multivariate analyses were carried out to assess whether the prognostic model could be used independently for prognostic prediction. In conclusion, the current study screened HCC prognostic gene signature based on public databases.
Vertex-Based Topological Indices of Double and Strong Double Graph of Dutch Windmill Graph
Authors: Ali Muhammad Asad , Sardar Muhammad Shoaib , Siddique Imran , Alrowaili Dalal
Published: October 2021

A measurement of the molecular topology of graphs is known as a topological index, and several physical and chemical properties such as heat formation, boiling point, vaporization, enthalpy, and entropy are used to characterize them. Graph theory is useful in evaluating the relationship between various topological indices of some graphs derived by applying certain graph operations. Graph operations play an important role in many applications of graph theory because many big graphs can be obtained from small graphs. Here, we discuss two graph operations, i.e., double graph and strong double graph. In this article, we will compute the topological indices such as geometric arithmetic index

GA

, atom bond connectivity index

ABC

, forgotten index

F

, inverse sum indeg index

ISI

, general inverse sum indeg index

ISI

α
,
β

, first multiplicative-Zagreb index

PM

1

 

and second multiplicative-Zagreb index

PM

2

, fifth geometric arithmetic index

GA

5

, fourth atom bond connectivity index

ABC

4

of double graph, and strong double graph of Dutch Windmill graph

D
3
p

.
[Retracted] Design and Simulation of Human Resource Allocation Model Based on Double‐Cycle Neural Network
Authors: Feng Qi , Feng Zixuan , Su Xingren
Published: October 2021

The rationalization of human resource management is helpful for enterprises to efficiently train talents in the field, improve the management mode, and increase the overall resource utilization rate of enterprises. The current computational models applied in the field of human resources are usually based on statistical computation, which can no longer meet the processing needs of massive data and do not take into account the hidden characteristics of data, which can easily lead to the problem of information scarcity. The paper combines recurrent convolutional neural network and traditional human resource allocation algorithm and designs a double recurrent neural network job matching recommendation algorithm applicable to the human resource field, which can improve the traditional algorithm data training quality problem. In the experimental part of the algorithm, the arithmetic F1 value in the paper is 0.823, which is 20.1% and 7.4% higher than the other two algorithms, respectively, indicating that the algorithm can improve the hidden layer features of the data and then improve the training quality of the data and improve the job matching and recommendation accuracy.
Carotid Intima-Media Thickness and Ankle-Brachial Index and Their Correlation with Coronary Artery Dilatation in Children with Kawasaki Disease
Authors: Yao Yinna , Yang Gunan , Chen Yanling
Published: October 2021

Objective. To investigate the correlation between carotid intima-media thickness (IMT), ankle-brachial index (ABI), and coronary artery dilatation (CAD) in children with Kawasaki disease (KD) and to evaluate the effectiveness of CAD. Methods. A total of 68 children diagnosed with KD from January 2019 to January 2021 in our hospital were included. According to the results of cardiac color Doppler ultrasound, the children with KD were divided into a noncoronary artery dilation group (NCAD), with 41 children with KD who did not have coronary artery lesions, and a coronary artery dilation group (CAD), with 27 children with KD who had coronary artery dilation. 27 healthy children undergoing physical examination in our hospital at the same time were selected as the normal control group. Laboratory index of all subjects was measured individually. The carotid IMT, ABI, and coronary artery diameter of all subjects were measured and compared. Pearson correlation was used to analyze the correlation between carotid IMT, ABI, and the severity of coronary artery disease. The ROC curve was used to evaluate the efficacy of carotid IMT and ABI in predicting coronary artery disease. Results. The ALB of children in the CAD group was lower than that in the NCAD group

P
<
0.05

. The IMT of carotid artery and the diameter of coronary artery in children of the CAD group and the NCAD group were higher than those of the normal control group, and the IMT of the CAD group was higher than that of the NCAD group. The ABI of children in the CAD group and the NCAD group was lower than that of the normal control group, and the ABI of children in the CAD group was lower than that of the NCAD group

P
<
0.05

. Correlation analysis showed that carotid artery IMT of children with KD was positively correlated with coronary artery diameter, while ABI was negatively correlated with coronary artery diameter. The AUC of carotid IMT for CAD in children with KD was 0.668 (95% CI: 0.538–0.797), that of ABI for CAD in children with KD was 0.646 (95% CI: 0.513–0.780), and that of the combination of carotid IMT and ABI for CAD was 0.874 (95% CI: 0.785–0.963). Conclusion. The changes of carotid artery IMT and ABI in children with KD have a certain correlation with CAD, and the joint detection of carotid artery IMT and ABI can provide clinical reference value for predicting the degree of coronary artery disease in children with KD.
CRNDE/ETS1/GPR17 Facilitates the Proliferation, Migration, and Invasion of Glioma
Authors: Hu Yan , Luo Haitao , Zhu Xingen , Guo Hua
Published: October 2021

Background. Numerous lncRNAs were found as regulatory factors for occurrence and progression of various tumors, but there is still less research on the role of lncRNAs in malignant progression of glioma. Methods. Bioinformatics analysis analyzed differential genes (DEGs) in the TCGA database. MTT, flow cytometry, and Transwell assays were performed to test the proliferation, apoptosis, migration, and invasion of cells. qRT-PCR and western blot were conducted to detect RNA and protein expressions of each gene, respectively. CHIP assay verified the binding relationship between genes. FISH assayed subcellar location of CRNDE, and xenograft in nude mice was performed for in vivo verification. Results. CRNDE was upregulated in glioma cells, and overexpression of CRNDE facilitated malignant progression of glioma cells. CRNDE regulated occurrence and development of glioma through the CRNDE-ETS1-GPR17 axis. ETS1 was proved to target promoter region of GPR17. Overexpression of CRNDE promoted the binding between ETS1 and the promoter region of GPR17, thus, promoting the transcription of GPR17, while silencing of GPR17 inhibited promotion of CRNDE on proliferation, migration, and invasion of glioma cells. Conclusions. These results demonstrated that CRNDE regulated GPR17 expression by binding ETS1, a transcription factor, thereby affecting glioma development. The results also indicated that CRNDE could serve as a possible therapeutic target and prognostic biomarker for glioma.
Single‐Cell Integration Analysis of Heterotopic Ossification and Fibrocartilage Developmental Lineage: Endoplasmic Reticulum Stress Effector Xbp1 Transcriptionally Regulates the Notch Signaling Pathway to Mediate Fibrocartilage Differentiation
Authors: Chen Yisheng , Sun Yaying , Xu Yuzhen , Lin Wei-Wei , Luo Zhiwen , Han Zhihua , Liu Shaohua , Qi Beijie , Sun Chenyu , Go Ken , Kang x.-R. , Chen Jiwu
Published: October 2021

Introduction. Regeneration of fibrochondrocytes is essential for the healing of the tendon‐bone interface (TBI), which is similar to the formation of neurogenic heterotopic ossification (HO). Through single‐cell integrative analysis, this study explored the homogeneity of HO cells and fibrochondrocytes. Methods. This study integrated six datasets, namely, GSE94683, GSE144306, GSE168153, GSE138515, GSE102929, and GSE110993. The differentiation trajectory and key transcription factors (TFs) for HO occurrence were systematically analyzed by integrating single‐cell RNA (scRNA) sequencing, bulk RNA sequencing, and assay of transposase accessible chromatin seq. The differential expression and enrichment pathways of TFs in heterotopically ossified tissues were identified. Results. HO that mimicked pathological cells was classified into HO1 and HO2 cell subsets. Results of the pseudo‐temporal sequence analysis suggested that HO2 is a differentiated precursor cell of HO1. The analysis of integrated scRNA data revealed that ectopically ossified cells have similar transcriptional characteristics to cells in the fibrocartilaginous zone of tendons. The modified SCENIC method was used to identify specific transcriptional regulators associated with ectopic ossification. Xbp1 was defined as a common key transcriptional regulator of ectopically ossified tissues and the fibrocartilaginous zone of tendons. Subsequently, the CellPhoneDB database was completed for the cellular ligand‐receptor analysis. With further pathway screening, this study is the first to propose that Xbp1 may upregulate the Notch signaling pathway through Jag1 transcription. Twenty‐four microRNAs were screened and were found to be potentially associated with upregulation of XBP1 expression after acute ischemic stroke. Conclusion. A systematic analysis of the differentiation landscape and cellular homogeneity facilitated a molecular understanding of the phenotypic similarities between cells in the fibrocartilaginous region of tendon and HO cells. Furthermore, by identifying Xbp1 as a hub regulator and by conducting a ligand–receptor analysis, we propose a potential Xbp1/Jag1/Notch signaling pathway.
Theoretical and Numerical Analysis of Coupled Axial‐Torsional Nonlinear Vibration of Drill Strings
Authors: Li Xinye , Yu Tao , Zhang Lijuan , Zeng Hao , Duan Congcong
Published: October 2021

Based on a lumped parameter model with two degrees of freedom, the periodic response of the coupled axial‐torsional nonlinear vibration of drill strings is studied by HB‐AFT (harmonic balance and alternating frequency/time domain) method and numerical simulations. The amplitude‐frequency characteristic curves of axial relative displacement and torsional relative angular velocity are given to reveal the mechanism of bit bounce and stick‐slip motion. The stability of periodic response is analyzed by Floquet theory, and the boundary conditions of bifurcation of periodic response are given when parameters such as nominal drilling pressure, angular velocity of turntable, and formation stiffness are varied. The results show that the amplitude of the periodic response of the system precipitates a spontaneous jump and Hopf bifurcation may occur when the angular velocity of the turntable is varied. The variation of parameters may lead to the complex dynamic behavior of the system, such as period‐doubling motion, quasiperiodic motion, and chaos. Bit bounce and stick‐slip phenomenon can be effectively suppressed by varying the angular velocity of turntable and nominal drilling pressure.
Therapeutic Effect of Stem Cells on Male Infertility in a Rat Model: Histological, Molecular, Biochemical, and Functional Study
Authors: Mohammed Sally S. , Mansour Mona F. , Salem Noha A.
Published: October 2021

Methotrexate (MTX) is a folic acid antagonist, widely used as a chemotherapeutic and immunosuppressive drug, but it is toxic to reproductive systems. In recent years, the era of stem cell applications becomes a promising point as a possible therapeutic agent in male infertility. This study is aimed at evaluating the therapeutic effects of stem cells at histological, molecular, biochemical, and functional levels in a methotrexate-induced testicular damage model. Material and Methods. Thirty rats were divided randomly into three groups (ten rats each): group 1 (control): animals received an intraperitoneal injection of 2 ml phosphate-buffered saline per week for 4 weeks, group 2 (MTX-treated group): animals were intraperitoneally injected with methotrexate (8 mg/kg) once weekly for 4 weeks, and group 3 (ADMSC-treated group): methotrexate-treated animals received a single dose of1×106stem cells/rat at the 5th week. At the 8th week, blood samples were collected for hormonal analysis; then, animals were sacrificed. The testes were dissected; the right testis was stained with hematoxylin and eosin. Random sections were taken from group 3 and examined with a fluorescent microscope. The left testis was divided into two specimens: the first was used for an electron microscope and the second was homogenized for molecular and biochemical assessments. Results. Group 2 showed significant histological changes, decreased free testosterone level, decrease in stem cell factor expression, and dysfunction of the oxidation state. The results revealed significant improvement of these parameters. Conclusion. Transplantation of adipose tissue-derived stem cells (ADMSCs) can improve the testicular damage histologically and functionally in a rat model.
Pan-Cancer Analysis Reveals FH as a Potential Prognostic and Immunological Biomarker in Lung Adenocarcinoma
Authors: Zhang Heng , Ju Qiang , Ji Jing , Zhao Yanjie
Published: October 2021

Fumarate hydratase (FH) is an important enzymatic component in the tricarboxylic acid cycle. Studies have reported that FH plays an important role in hereditary leiomyomatosis and renal cell cancer (HLRCC). However, the role of FH in human different cancers remains unknown. This study is aimed at analyzing the prognostic value of FH and demonstrating the correlation between FH expression and tumor immunity. Results showed that FH was mutated or copy number varied in 27 types of cancer. FH mRNA was abnormally upregulated across various cancers. Survival analysis suggested high expression of FH was associated with poor prognosis in many cancer types, including lung adenocarcinoma (LUAD). Additionally, FH expression was associated with immune infiltration, including B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells, especially in liver hepatocellular carcinoma (LIHC), LUAD, and lung squamous cell carcinoma (LUSC). Moreover, FH expression showed a strong correlation with immune checkpoint markers in LUAD and testicular germ cell tumors (TGCT). These results indicate that FH is an immunotherapeutic target and a potential prognostic biomarker in LUAD.