bluuebunny/crossref_metadata_2025 huggingface dataset:
Screening Host Antiviral Proteins under the Enhanced Immune Responses Induced by a Variant Strain of Porcine Epidemic Diarrhea Virus
Authors: Sun Min , Yu Zeyanqiu , Luo Miao , Li Bin , Pan Zihao , Ma Jiale , Yao Huochun
Published: June 2022

Host innate immune responses, particularly interferon (IFN) antiviral signaling, can activate diverse downstream ISGs to exert antiviral effects. However, porcine epidemic diarrhea virus (PEDV) infection has evolved multiple strategies to escape from this immune clearance.
Spread of Carbapenem-Resistant Klebsiella pneumoniae Clinical Isolates Producing NDM-Type Metallo-β-Lactamase in Myanmar
Authors: Takei Satomi , Lu Yu Jie , Tohya Mari , Watanabe Shin , Misawa Shigeki , Tabe Yoko , Miida Takashi , Mya San , Tin Htay Htay , Tada Tatsuya , Kirikae Teruo
Published: June 2022

The emergence of carbapenem-resistant
K. pneumoniae
has become a serious problem in medical settings worldwide. The present study demonstrated that carbapenem-resistant
K. pneumoniae
strains have been spreading in medical settings in Myanmar. In particular, plasmid genes encoding NDMs and 16S rRNA methylases have been spreading in
K. pneumoniae
high-risk clones.
The Challenge to Control Emergence of Antibiotic Resistance in Virulent Escherichia coli Isolates in Latin America
Authors: Torres Alfredo G.
Published: June 2022

The Latin American Coalition forEscherichia coliResearch (LACER) was created as a network of investigators using One Health approaches trying to understand infections caused by regionalE. coliisolates and to sound the alarm due to the evolution of strains that are multiresistant to antibiotics (resistome) that also display different virulence profiles (virulome). After the COVID19 pandemic, a major concern by investigators has been the appearance of more virulent and resistant strains.
Genomics of Staphylococcus aureus and Staphylococcus epidermidis from Periprosthetic Joint Infections and Correlation to Clinical Outcome
Authors: Trobos Margarita , Firdaus Rininta , Svensson Malchau Karin , Tillander Jonatan , Arnellos Dimitrios , Rolfson Ola , Thomsen Peter , Lasa Iñigo
Published: June 2022

This study addresses the presence and frequency of particular genetic variants and virulence factors found in staphylococcal bacteria causing periprosthetic joint infection (PJI) of the hip and knee to ascertain their clinical relevance as predictors of treatment failure. We characterized the genetic virulence traits of a large collection of clinical staphylococci isolated from patients with PJI and evaluated their association with the patient’s infection outcome.
Dipeptidyl peptidase-4 inhibitors and gallbladder or biliary disease in type 2 diabetes: systematic review and pairwise and network meta-analysis of randomised controlled trials
Authors: He Liyun , Wang Jialu , Ping Fan , Yang Na , Huang Jingyue , Li Wei , Xu Lingling , Zhang Huabing , Li Yuxiu
Published: June 2022

Objective

To examine the association between dipeptidyl peptidase-4 inhibitors and gallbladder or biliary diseases.

Design

Systematic review and pairwise and network meta-analysis.

Data sources

PubMed, EMBASE, Web of Science, and CENTRAL from inception until 31 July 2021.

Eligibility criteria

Randomised controlled trials of adult patients with type 2 diabetes who received dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitors compared with placebo or other antidiabetes drugs.

Main outcome measures

Composite of gallbladder or biliary diseases, cholecystitis, cholelithiasis, and biliary diseases.

Data extraction and data synthesis

Two reviewers independently extracted the data and assessed the quality of the studies. The quality of the evidence for each outcome was assessed using the Grading of Recommendations, Assessment, Development and Evaluations framework (GRADE) approach. The meta-analysis used pooled odds ratios and 95% confidence intervals.

Results

A total of 82 randomised controlled trials with 104 833 participants were included in the pairwise meta-analysis. Compared with placebo or non-incretin drugs, dipeptidyl peptidase-4 inhibitors were significantly associated with an increased risk of the composite of gallbladder or biliary diseases (odds ratio 1.22 (95%confidence interval 1.04 to 1.43); risk difference 11 (2 to 21) more events per 10 000 person years) and cholecystitis (odds ratio 1.43 (1.14 to 1.79); risk difference 15 (5 to 27) more events per 10 000 person years) but not with the risk of cholelithiasis and biliary diseases. The associations tended to be observed in patients with a longer duration of dipeptidyl peptidase-4 inhibitor treatment. In the network meta-analysis of 184 trials, dipeptidyl peptidase-4 inhibitors increased the risk of the composite of gallbladder or biliary diseases and cholecystitis compared with sodium-glucose cotransporter-2 inhibitors but not compared with glucagon-like peptide-1 receptor agonists.

Conclusions

Dipeptidyl peptidase-4 inhibitors increased the risk of cholecystitis in randomised controlled trials, especially with a longer treatment duration, which requires more attention from physicians in clinical practice.

Systematic review registration

PROSPERO CRD42021271647.
Prognostic importance of the 6 min walk test in light chain (AL) amyloidosis
Authors: Cohen Oliver C , Sathyanath Ananth , Petrie Aviva , Ravichandran Sriram , Law Steven , Manwani Richa , Foard Darren , Sachchithanantham Sajitha , Mahmood Shameem , Martinez-Naharro Ana , Fontana Marianna , Whelan Carol J , Hawkins Philip N , Lachmann Helen J , Gillmore Julian D , Wechalekar Ashutosh D
Published: June 2022

Objectives

In AL amyloidosis, organ response assessment is based on surrogates (eg, cardiac biomarkers). An objective functional test, such as the 6 min walk test (6MWT), capturing overall clinical improvement, is required. We aimed to evaluate the prognostic impact of the 6MWT at baseline and change following chemotherapy.

Methods

This study evaluated the outcomes of patients who enrolled in a prospective observational study at the UK National Amyloidosis Centre (2012–2017). Patients underwent comprehensive assessments inclusive of blood testing, echocardiogram and 6MWT at baseline and annually thereafter.

Results

In total, 799 patients were included within the study. Median baseline 6 min walk distance (6MWD) was 362 m (IQR: 231 m). 6MWD progressively decreased with worsening cardiac disease stage (458 m, 404 m, 331 m and 168 m for cardiac Mayo stages I, II, IIIa and IIIb, respectively (p<0.0001)). In patients with a baseline 6MWT of ≥350 m, the median overall survival was not reached (vs 30.0 (95% CI 23.2 to 36.8) months if <350 m and 5.0 (95% CI 2.8 to 7.2) months if unable to attempt 6MWT (p<0.0001). Following chemotherapy, only patients in a complete haematological response improved their 6MWD by 12 months (p=0.001). Improvement in 6MWD prolonged survival in patients with cardiac amyloidosis (p=0.005).

Conclusion

The 6MWT is prognostic in AL amyloidosis. A baseline distance of ≥350 m independently predicts better survival. These data suggest that 6MWT has utility in AL amyloidosis for baseline prognosis and assessing response.
Predictive capacity of self-rated health on all-cause mortality in Spain: differences across sex, age and educational level
Authors: Suso-Palau Daniel , López-Cuadrado Teresa , Duque-León Daniela , Ortiz Cristina , Galán Iñaki
Published: June 2022

Background

Published evidence on self-rated health’s capacity to predict mortality and its variability across subpopulations lacks consistency. Our objective is to evaluate this predictive association and whether/how it varies by sex, age and educational attainment at the population level in Spain.

Methods

Data came from a prospective longitudinal study based on 42 645 individuals aged ≥15 years who participated in the 2011–2012 and 2014 Spanish Health Surveys. Median follow-up time for mortality was 5.4 years. Cox proportional hazards models adjusted for sociodemographic, lifestyle and chronic disease variables were used to estimate the predictive capacity of self-rated health on mortality.

Results

Self-rated health was associated with mortality with a dose–response effect (p value for linear trend <0.001). Compared with respondents who rated their health as very good, those rating it as very poor presented an HR of 3.33 (95% CI 2.50 to 4.44). Suboptimal self-rated health was a stronger predictor of mortality among 15–44 year-olds (HR 2.87; 95% CI 1.59 to 5.18), compared with the estimate for 45–64 year-olds (HR 1.86; 95% CI 1.45 to 2.39) (p value for interaction=0.001) and for those 65 and older (HR 1.51; 95% CI 1.36 to 1.68) (p value for interaction <0.001). Regarding educational attainment, the association was stronger for individuals with university studies (HR 2.51; 95% CI 1.67 to 3.76) than for those with only primary or no studies (HR 1.31; 95% CI 1.17 to 1.48) (p value for interaction=0.010). No statistically significant differences were observed between men and women.

Conclusions

Self-rated health may be considered a good predictor of all-cause mortality in the population of Spain, although the magnitude of this predictive association varies by age and educational level.
Valproic acid as an adjuvant analgesic: adult Fanconi syndrome
Authors: Maybach Anita , Baro Susan , Kachurka Kaylee , Davis Mellar P
Published: June 2022

We report an 80-year-old woman who developed severe hypophosphataemia and elevated urinary phosphate levels while started on valproic acid. This occurred within 1–2 days of starting valproic acid. There are rare single-patient reports of the association of valproic acid with adult Fanconi syndrome. This generally occurs after long-term exposure to valproate. This is the first reported experience of Fanconi’s syndrome in an adult with acute exposure to valproic acid. Clinicians should be aware of the possible association.
Injury severity assessment of rear-end crashes via approaches based on generalized estimating equations
Authors: Wang Chenzhu , Chen Fei , Yu Bin , Cheng Jianchuan
Published: June 2022

Rear-end crashes constitute the predominant type of crashes on highways and may lead to severe injuries and high property damage. Available statistical models primarily focus on injury severity and analyze potential factors that affect it. However, rear-end crashes may also be potentially correlated to vehicle, roadway, environmental, temporal, spatial, traffic, and crash characteristics. Additionally, unobserved heterogeneity regarding the effects may be present, which may be different in different crashes. In this context, multiple generalized estimating equation (GEE)-based models, developed using different working matrices and distributions, are proposed in this study to examine factors that affect injury severity. The proposed models account for both crash-related correlations and unobserved heterogeneity, thereby outperforming traditional models in terms of prediction accuracy. Among the explanatory variables considered in this study, the passenger car, minibus, curvature ratio, rainy weather, foggy weather, early morning, Thursday, autumn, winter, and average annual daily traffic volume were identified as contributing factors. However, significant differences were observed between the elasticity effects measured by different models, especially in terms of minibus and foggy weather. Thus, this study verifies that GEE-based models account for a greater amount of unobserved heterogeneity, yield better performance in terms of precision, and exhibit more consistent explanatory power compared to traditional models.
Research on Blended Learning Evaluation Method of Overseas Chinese Education in the Post-epidemic Era
Authors: Jiang Wenxia , Lin Qingna , Qin Wei
Published: June 2022

The spread of COVID-19 in the world has changed the way of life, economy, society, learning, and work around the world. Under the background of normalization of epidemic prevention and control, how to carry out overseas Chinese education and how to affect overseas Chinese education is an important issue with scholars in China and abroad and overseas Chinese. How to effectively deal with the international situation after the outbreak of the epidemic and how to determine the future developmental direction of overseas Chinese education is an important goal and direction that researchers need to study in depth. Based on the perspective of teaching effect evaluation of blended learning mode under the background of artificial intelligence, this article takes ASEAN Phuket Thai Chinese Schools as an example, collects relevant research data through a grounded survey method, adopts a quantitative analysis method, comprehensively judges the impact of overseas Chinese education after the outbreak of the epidemic, and puts forward systematic, comprehensive, and scientific suggestions. It is hoped that the decision-making mechanism and method innovation of overseas Chinese education in response to COVID-19 will be effectively promoted, and the effective development of overseas Chinese education will be actively promoted.
Perinatal hypoxia aggravates occlusive pulmonary vasculopathy in SU5416/hypoxia-treated rats later in life
Authors: Oshita Hironori , Sawada Hirofumi , Mitani Yoshihide , Tsuboya Naoki , Kabwe Jane C. , Maruyama Junko , Yusuf Ali , Ito Hiromasa , Okamoto Ryuji , Otsuki Shoichiro , Yodoya Noriko , Ohashi Hiroyuki , Oya Kazunobu , Kobayashi Yuhko , Kobayashi Issei , Dohi Kaoru , Nishimura Yuhei , Saitoh Shinji , Maruyama Kazuo , Hirayama Masahiro
Published: June 2022

Pulmonary arterial hypertension (PAH) is a fatal disease, which is characterized by occlusive pulmonary vascular disease (PVD) in small pulmonary arteries. It remains unknown whether perinatal insults aggravate occlusive PVD later in life. We tested the hypothesis that perinatal hypoxia aggravates PVD and survival in rats. PVD was induced in rats with/without perinatal hypoxia ( embryonic day 14 to postnatal day 3) by injecting SU5416 at 7 wk of age and subsequent exposure to hypoxia for 3 wk (SU5416/hypoxia). Hemodynamic and morphological analyses were performed in rats with/without perinatal hypoxia at 7 wk of age (baseline rats, n = 12) and at 15 wk of age in 4 groups of rats: SU5416/hypoxia or control rats with/without perinatal hypoxia ( n = 40). Pulmonary artery smooth muscle cells (PASMCs) from the baseline rats with/without perinatal hypoxia were used to assess cell proliferation, inflammation, and genomic DNA methylation profile. Although perinatal hypoxia alone did not affect survival, physiological, or pathological parameters at baseline or at the end of the experimental period in controls, perinatal hypoxia decreased weight gain and survival rate and increased right ventricular systolic pressure, right ventricular hypertrophy, and indices of PVD in SU5416/hypoxia rats. Perinatal hypoxia alone accelerated the proliferation and inflammation of cultured PASMCs from baseline rats, which was associated with DNA methylation. In conclusion, we established the first fatal animal model of PAH with worsening hemodynamics and occlusive PVD elicited by perinatal hypoxia, which was associated with hyperproliferative, proinflammatory, and epigenetic changes in cultured PASMCs. These findings provide insights into the treatment and prevention of occlusive PVD.
Effects of Recombinant Human Epidermal Growth Factor Eye Drops Combined with Phacoemulsification on Short- and Long-Term Visual Acuity Recovery and Related Dry Eye Complications in Patients with Senile Cataract
Authors: Fan Lingzhi , He Tao , Shi Jiguang , Ke Xianlin , Lu Xiaolei
Published: June 2022

Objective. To investigate the effects of recombinant human epidermal growth factor eye drops combined with phacoemulsification on short- and long-term visual acuity recovery and related dry eye complications in patients with senile cataract. Methods. Sixty patients with senile cataract cured from January 2019 to January 2021 were enrolled in our hospital. The patients in the control group were arbitrarily assigned into the control and the research group. The former group received phacoemulsification, and the latter group received recombinant human epidermal growth factor (RhEGF) eye drops combined with phacoemulsification. The curative effect, the incidence of xerophthalmia, short-term and long-term vision improvement, changes of corneal endothelial cells, serum factors, and life quality scores were compared. Results. The effective rate of the research group was 90.00%, and the effective rate of the control group was 66.67%; the curative effect of the research group was higher than that of the control group (

P
<
0.05

). The incidence of dry eye in the research group was lower than that in the control group (

P
<
0.05

). The short-term and long-term visual acuity improvement effect of the research group was better than that of the control group (

P
<
0.05

). After treatment, the density of corneal endothelial cells in the research group was higher than that in the control group, while the proportion of hexagonal cells and the coefficient of variation of corneal endothelial cells in the research group were lower than those in the control group (

P
<
0.05

). After treatment, IL-6 and TNF-α in the research group were lower than those in the control group (

P
<
0.05

). Compared with the control group, the physical function, psychological function, social function, and healthy self-cognition scores of the research group were all lower (

P
<
0.05

). Conclusion. Cataract is the leading cause of blindness in the world. With the continuous improvement of cataract phacoemulsification technology, the incidence of some serious complications has gradually lessened. Xerophthalmia is one of the most obvious and predictable complications after cataract surgery and may affect the recovery of postoperative visual acuity. Recombinant human epidermal growth factor eye drops can effectively enhance the visual acuity of patients, promote the curative effect, and strengthen the life quality.
Travel Time Estimation by Learning Driving Habits and Traffic Conditions
Authors: Yang Ling , Jiang Shouxu , Zhang Fusheng , Zhao Ming
Published: June 2022

Travel time estimation (TTE) is widely applied for ride dispatching, ride-hailing, and route navigation. There are many factors affecting the travel time of a driver on a given trajectory, including the distance, road type, driving habits, traffic congestion, etc. Existing works fail to model the complex relationships of these factors for TTE. To fill this gap, in this paper, we first analyze how these factors work together in determining the travel time. In particular, the travel time depends on the distance and driving speed on each road segment of the trajectory, where the driving speed depends on the driving habits and the environment, including the static factors like the road type (highway or byway) and speed limit and the dynamic factor like the time of the day and congestion. Among these factors, driving habits and traffic conditions (e.g., jam) are the most difficult ones to model. Second, we propose to learn the driving habits of each driver via meta-learning and estimate the conditions based on the current and historical traffic conditions (via recurrent neural networks) of this road and its connected road segments (via graph convolutional neural network). The experimental results on two real taxi trajectory datasets show that our approach outperforms three state-of-the-art methods significantly.
Carbapenemase Production and Detection of Colistin-Resistant Genes in Clinical Isolates of Escherichia Coli from the Ho Teaching Hospital, Ghana
Authors: Deku John Gameli , Duedu Kwabena Obeng , Kpene Godsway Edem , Kinanyok Silas , Feglo Patrick Kwame
Published: June 2022

Background. Effective and successful treatment of infectious diseases is a significant gain in clinical settings. However, resistance to antibiotics, especially the last-resort medicines, including carbapenems and colistin is on the rise. Aim. The aim of this study was to detect carbapenemase production and colistin-resistant genes in clinical isolates of Escherichia coli. Method. The study was a cross-sectional study carried out from July 2018 to June 2019. One hundred and thirty-five nonrepetitive E. coli isolates obtained from various clinical samples were screened for carbapenemase production using meropenem (10 μg) and imipenem (10 μg) disks. Screened-positive isolates were further subjected to a confirmatory test using modified carbapenem inhibition method (mCIM). Deoxyribonucleic acid (DNA) was extracted from all the isolates to detect colistin-resistant genes by polymerase chain reaction. Data were analyzed using GraphPad Prism version 8.00 for Windows and IBM SPSS version 26 (IMB Corp. New York, USA). Results. Of the 135 isolates, 2 were screened positive for carbapenemase production but tested negative to mCIM. With the colistin-resistant genes, only mcr-1 and mcr-2_700 bp were detected in 3 of the E. coli isolates, representing 2.2%. The mcr-1 was detected in a high vaginal swab sample of a female aged between 65 and 84 years. Mcr-2_700 bp was also detected in urine and blood samples of the patients. Conclusion. The study investigated the presence of carbapenemase and colistin-resistant genes in E. coli organisms. The absence of carbapenemase in the isolates and the detection of colistin-genes call for strict infection prevention and control practices to prevent their introduction and spread to other bacterial species, respectively.
Tangshenning Attenuates High Glucose-Induced Podocyte Injury via Restoring Autophagy Activity through Inhibiting mTORC1 Activation
Authors: Xu Jiayi , Shan Xiaomeng , Chen Chunwei , Gao Yanbin , Zou Dawei , Wang Xiaolei , Wang Tao , Shi Yimin
Published: June 2022

Diabetic nephropathy (DN) is a microvascular complication of diabetes mellitus (DM) and the most common cause of death in diabetic patients. DN progression is associated with podocyte damage due to reduced autophagy caused by mTORC1 activation. Tangshenning (TSN) has been shown to reduce proteinuria, protect renal function, and reduce podocyte damage. Still, the effect of TSN on the autophagic activity of podocytes remains unclear. Herein, in vitro experiments using a high glucose-induced podocyte injury model were performed. Results showed that TSN treatment enhanced the weakened nephrin expression and autophagic activity of podocytes and inhibited the mTORC1 pathway (p-mTOR, mTOR, p-p70S6K, p70S6K, ULK1, and 4EBP1) under high glucose conditions. Furthermore, the mTORC1 activator (siRNA-TSC2) partially inhibited the above beneficial effects of TSN, suggesting that mTORC1 was the target of TSN to regulate autophagy. In summary, TSN reduces podocyte damage induced by high glucose via inhibiting mTORC1 pathway and downstream targets and restoring podocyte autophagy.
Bilateral Hypothenar Hammer Syndrome Case Presentation and Literature Review
Authors: Estíbaliz Andrés-Trasahedo , Eztizen Labrador-Sánchez , Osman-Alberto Salazar-Asencio , Bryan-Josué Flores-Robles , Valvanera Pinillos-Aransay , Lerena Laura Torrecilla , Juan-Antonio López-Martín
Published: June 2022

Hypothenar hammer syndrome is a rare cause of vascular insufficiency. Generally, patients report a history of repetitive trauma to the hypothenar region of the hand. Symptoms often consist of cold intolerance, pain, paleness, and paresthesia due to digital ischemia. The severity of these symptoms will depend on the extent of ulnar artery occlusion and the presence or absence of collaterals between this artery’s superficial and deep branches. It is a rare clinical entity, which on multiple occasions requires a surgical approach. We present a 63-year-old man with bilateral Raynaud’s phenomenon secondary to hypothenar hammer syndrome successfully treated by vascular repair surgery. In patients with Raynaud’s phenomenon, it is important to know that there are reversible causes such as hypothenar hammer syndrome.
Seismic Analysis and Damage Evaluation of RC Frame Structures Based on BIM Platform
Authors: Wang Feng , Chen Qiang
Published: June 2022

In order to overcome the shortcomings in integrating the building information modeling (BIM) and seismic finite element technique for building structures, a new seismic analysis and damage evaluation method for reinforced concrete (RC) frame structures was proposed by integrating Revit and OpenSees, in which the information about geometric and material of the existing BIM model in Revit was extracted as part of the finite element analysis model of OpenSees; supplementary settings about the element type, material constitutive model, load information, and analysis type for finite element analysis were made according to the input format of OpenSees, and OpenSees program was directly called for numerical analysis in the Revit software which realized seismic analysis and damage evaluation of RC frame structures based on BIM. RTO, a revolutionary structural seismic analysis and damage evaluation tool based on the three-tier architecture theory, was created by combining Revit and OpenSees via the RevitAPI interface. The preprocessing module was created to contact OpenSees for finite element analysis, the postprocessing module was created to secondary analyze, display, and export the analysis data, and crucial structural seismic damage information was automatically saved in the Revit model. A calculation example of a five-story RC frame structure was provided to demonstrate the operation process of the proposed method and the developed program. The example proved the feasibility of integrating the BIM and finite element method in elastic-plastic structural seismic analysis. The proposed approach would facilitate the participation of structural seismic analysis in BIM life cycle collaboration.
Application of Ontology Matching Algorithm Based on Linguistic Features in English Pronunciation Quality Evaluation
Authors: Zhu Shan
Published: June 2022

Traditional English classroom teaching is difficult to meet the oral learning needs of most learners. Thanks to the continuous advancement of speech processing technology, computer-assisted language learning systems are becoming more intelligent, not only pointing out learners’ pronunciation errors but also assessing their overall pronunciation level. Method. This paper uses the method of tree kernel function to measure the similarity of two ontology trees. According to the features of nodes in ontology tree, methods to calculate the external features and internal features of nodes are proposed, respectively. External features are mainly obtained by calculating the hierarchical centrality, node density, and node coverage of nodes in the ontology tree; internal features are mainly obtained by measuring the richness of internal information. According to the similarity of ontology tree and the external features and internal features of nodes, the calculation formula of structural comprehensive similarity is improved, and the features of ontology itself can be fully considered in the calculation. According to the difference of the structure, the weights of the corresponding features during the calculation are adjusted autonomously, so that the calculation results are closer to reality. In spectral image preprocessing, endpoint detection utilizes the harmonic characteristics presented by narrowband spectrograms with high frequency resolution and eliminates useless nonspeech segments by detecting the presence of voiced segments. When building the neural network model, four convolutional layers, two fully connected layers, and one softmax output layer were conceived, and dropout was used to randomly suspend the work of some neurons to avoid overfitting. Results/Discussion. Through the data analysis of mean and variance and verified by one-way analysis of variance, it proves that the sentiment evaluation method in this paper is effective. The traditional multiple linear regression method is not suitable for the corpus and application scenarios of this paper. This paper proposes a decision tree structure, which is similar to the overall scoring process of raters, and uses the Interactive Dicremiser version 3 (ID3) algorithm to build a comprehensive evaluation decision tree for pitch, rhythm, intonation, speech rate, and emotion indicators. It is proved by experiments that the accurate consistency rate of the human-machine evaluation in this paper is 93%, the adjacent consistency rate is 96%, and the Pearson correlation coefficient value of the human-machine evaluation results is 0.89. The data results prove that the evaluation method in this paper is credible.
High-Concurrency and High-Performance Application of Microservice Order System Based on Big Data
Authors: Zhou Xueyun , Wu Xinling , Chen Yihong
Published: June 2022

The order system plays the role of the central nervous system in the integrated logistics operation. Theoretically speaking, the whole operation process of logistics service is to complete the order, the order information runs through all the links of the whole logistics, and the order processing efficiency affects the logistics process. This paper studies the high-concurrency and high-performance applications of the microservice order system based on big data, which prove that on the basis of big data technology, the performance of the microservice order system will be greatly improved. To this end, the analysis provides an overview of big data technologies and related content of microservices. It describes their application scenarios and then combines the development of the order system with a comprehensive analysis to prove its feasibility. At the same time, we compared multiple algorithms applied in microservices and found the most suitable algorithm for the order system and applied it, so that the order system can achieve high concurrency and high performance. The big data-based microservices control system proved to be useful for reasonable resource planning and for improving system performance in experiments. The final experiment found that in the microservice order system using big data, its transaction average response time was 0.01 s, and the success rate was 100%.
Study on Deterioration Effect of Dynamic Mechanical Properties of Granite at Subzero Temperatures
Authors: Yang Yang , Wang Jianguo
Published: June 2022

In the present work, through the dynamic impact test of frozen granite, the effect of temperature on the dynamic mechanical performances of granite at high strain rates were investigated. Based on the existing energy and damage theory, the effects of different low temperatures on the energy dissipation, damage variables, and strength of red sandstone are explored. The reasons for the deterioration of granite dynamic mechanical strength at low temperature are studied by combining analyses of fracture morphology. Researched results showed that low temperatures (<-20°C) cause “frostbite” in granite, leading to the sharp decrease of dynamic and macromechanical strength of the rock under a high strain. Under this dynamic disturbance, transient engineering disasters are easy to occur. The analysis of fracture morphology showed that the lower negative temperature results in the formation of cracks among the mineral particles in the granite. Under high strain rate loading, these cracks have poor plastic deformation ability and are easily destabilized and expanded. Moreover, frozen granite tends to be brittle as a whole. With the decrease of negative temperature, its fracture behavior gradually changes from cleavage fracture to transgranular fracture, and the failure mode also changes from tensile failure to shear failure. The coupling effect of impact and the lower negative temperature will cause the quasicleavage of some crystalline minerals, eventually leading to low-stress brittle failure of granite.
[Retracted] Deep Learning‐Based Real‐Time Discriminate Correlation Analysis for Breast Cancer Detection
Authors: Bhende Manisha , Thakare Anuradha , Pant Bhasker , Singhal Piyush , Shinde Swati , Saravanan V.
Published: June 2022

Breast cancer is the most common cancer in women, and the breast mass recognition model can effectively assist doctors in clinical diagnosis. However, the scarcity of medical image samples makes the recognition model prone to overfitting. A breast mass recognition model integrated with deep pathological information mining is proposed: constructing a sample selection strategy, screening high‐quality samples across different mammography image datasets, and dealing with the scarcity of medical image samples from the perspective of data enhancement; mining the pathology contained in limited labeled models from shallow to deep information; and dealing with the shortage of medical image samples from the perspective of feature optimization. The multiview effective region gene optimization (MvERGS) algorithm is designed to refine the original image features, improve the feature discriminate and compress the feature dimension, better match the number of samples, and perform discriminate correlation analysis (DCA) on the advanced new features; in‐depth cross‐modal correlation between heterogeneous elements, that is, the deep pathological information, can be mined to describe the breast mass lesion area accurately. Based on deep pathological information and traditional classifiers, an efficient breast mass recognition model is trained to complete the classification of mammography images. Experiments show that the key technical indicators of the recognition model, including accuracy and AUC, are better than the mainstream baselines, and the overfitting problem caused by the scarcity of samples is alleviated.
Effect of Chronic Heart Failure Complicated with Type 2 Diabetes Mellitus on Cognitive Function in the Elderly
Authors: Liu Yang , Meng Rui , Dong Jianzeng
Published: June 2022

Objective. To explore the effect of chronic heart failure complicated with type 2 diabetes mellitus on cognitive function in the elderly. Methods. 600 patients with chronic heart failure were selected from January 2018 to January 2021. All patients were divided into observation group (A) and control group (B). A was chronic heart failure complicated with type 2 diabetes mellitus group. B was chronic heart failure group. The clinical effects of the two groups were observed. Results. Compared with the clinical indexes during and after operation, there were differences in operation time, postoperative recovery time, and treatment cost between A and B, but the difference is not significant (all

P
>
0.05

). LVEF cardiac function index score, LVEF score of A compared with B, the difference was statistically significant (

P
<
0.05

). The MMSE score and MoCA score of the two groups were compared. Before operation, the MMSE score and MoCA score of A were lower than those of B, and the difference was statistically significant (

P
<
0.05

). After operation, the MMSE score and MoCA score in B were significantly higher than those in B, but the increasing trend of MMSE score and MoCA score in B was significantly higher than that in A (

P
<
0.05

). Comparison of HAMA score and HAMD score: before operation, the HAMA score and HAMD score were higher in A, but the difference is not significant (

P
>
0.05

). After operation, the scores of HAMA and HAMD in A and B decreased significantly, but the difference is not significant (

P
>
0.05

). Multivariate analysis showed that the fasting blood glucose and glycosylated hemoglobin were the risk factors of cognitive impairment. Conclusion. Type 2 diabetes mellitus in elderly patients with chronic heart failure will further aggravate cognitive impairment, and type 2 diabetes is an important independent risk factor affecting cognitive function, which accelerates cognitive impairment and significantly reduces the executive ability of elderly patients with chronic heart failure, resulting in a significant decline in patients’ ability to understand and apply information.
[Retracted] Strategies to Improvise Organ Donor Pool: A Study on the Knowledge, Attitudes, and Performance of Higher Secondary School Teachers Towards the Organ Donation
Authors: Venkatesan Krishnaraju , Sivadasan Durgaramani , Thangavel Neelaveni , Alshahrani Shadia Hamoud , Paulsamy Premalatha , Muthugounder Kandasamy , Prabahar Kousalya , Elhassan Gamal Osman , Krishnaraju Kalpana , SheikhAlavudeen Sirajudeen , Venkatesan Kumar , Dekeba Kenenisa
Published: June 2022

Introduction. This study aimed to assess higher secondary school teachers’ knowledge, attitude, and performance levels towards organ transplantation and donation (OTD). Teachers have an essential role in giving knowledge to children and teenagers, and they can influence their views. Organ transplantation offers re‐life to many patients, yet organ shortages are a global issue. Teachers who influence students’ future attitudes regarding organ donation must have a favorable attitude and genuine knowledge. Materials and Methods. The research method was descriptive and cross‐sectional. The sample size was 372 school teachers in Villupuram district of Tamilnadu, India, selected using a convenient sampling method. A survey questionnaire was used to assess the knowledge and attitude about OTD, the reason for donating/not donating organs. Multivariate analysis was performed to identify critical variables affecting intent to practice. Results. The teachers’ mean scores with SD on knowledge, attitude, and performance were 7.61 ± 2.74, 8.81 ± 2.08, and 0.38 ± 0.11, respectively. The linear regression analysis showed that the knowledge (p < 0.001) and attitude (p < 0.05) of the participants were positively associated with organ donation performance. A significant relationship was also observed between gender (p < 0.036), age (p < 0.01), and education status (p < 0.001) with the performance of the teachers. Lack of family support was the most spelt reason for unwillingness for organ donation. Conclusion. The positive linear correlations underline that having more information may lead to a more optimistic mindset and, as a result, to better practices. Teachers should be provided with overall health teaching campaigns to increase the number of possible organ donors. Teachers serve as role models for students, families, and society by changing their attitudes.
miR-373-3p Regulates the Proliferative and Migratory Properties of Human HTR8 Cells via SLC38A1 Modulation
Authors: Chen Lu , Wen Hong , Zhu Yuhang , Wang Fangfang , Zhao Li , Liang Qiongxin , Qu Fan
Published: June 2022

The genetic pathogenesis of selective intrauterine growth restriction (sIUGR) remains elusive, with evidence suggesting an important role of epigenetic factors such as microRNAs. In this study, we explored the relevance of miR-373-3p to the occurrence of sIUGR. Hypoxia enhanced the levels of miR-373-3p and hypoxia-inducible factor (HIF)-1α, while HIF-1α knockdown not only boosted the migration and proliferation of HTR8 cells but also suppressed the hypoxia-induced upregulation of miR-373-3p and SLC38A1. By contrast, HIF-1α overexpression induced miR-373-3p downregulation and SLC38A1 upregulation, reducing cell growth and migration, which could be reversed by a miR-373-3p inhibitor. Importantly, the miR-373-3p inhibitor and mimic reproduced phenomena similar to those induced by HIF-1α downregulation and overexpression, respectively (including altered SLC38A1 expression, mTOR activation, cell growth, and migration). Mechanistically, the miRNA regulated cell behaviors and related mTOR signaling by targeting SLC38A1 expression through an interaction with the 3

′

-untranslated region of SLC38A1. The placental tissues of smaller sIUGR fetuses exhibited miR-373-3p and HIF-1α upregulation, SLC38A1 downregulation, and activated mTOR. Overall, miR-373-3p appears to restrict the growth and migration of HTR8 trophoblast cells by targeting SLC38A1, as observed in the placental tissues associated with smaller sIUGR fetuses, and it could have utility in the diagnosis and treatment of this disorder.
The Effects of Tai Chi Exercise for Patients with Type 2 Diabetes Mellitus: An Overview of Systematic Reviews and Meta-Analyses
Authors: Shi Hongshuo , Wang Shaoting , Zhang Yufeng , Liu Pulin , Dong Chengda , Wang Dan , Si Guomin , Wang Wenbo , Li Yujie
Published: June 2022

Objectives. Tai chi (TC) is a potential complementary treatment for type 2 diabetes mellitus (T2DM). This overview systematically summarizes and evaluates the existing evidence of TC in the treatment of T2DM. Methods. Systematic reviews (SRs)/meta-analyses (MAs) on TC interventions for T2DM were comprehensively searched in seven databases. Methodological quality, risk of bias, reporting quality, and quality of evidence were assessed using the Assessment of Multiple Systematic Reviews 2 (AMSTAR-2), the Risk of Bias in Systematic (ROBIS) scale, the list of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. Results. Eight published SRs/MAs were included in our study. Based on the methodology and quality of evidence assessment, all SRs/MAs are considered to be of very low quality, and only 1 SR/MA has been assessed as low risk of bias, and none of the SR/MA has been fully reported on the checklist. A total of 65 outcome indicators extracted from the included SRs/MAs were evaluated, and only 1 item was assessed as high quality. Conclusions. TC may be an effective and safe complementary treatment for T2DM. However, this conclusion must be treated with caution because the quality of the evidence provided by the included SRs/MAs is generally low.
Metabolomics Study on the Resistance of Walnut Peel to Colletotrichum gloeosporioides under Prochloraz Treatment
Authors: Yang Xia , Wu Liuyan , Fu Li , Fu Pin , Zhu Jiamin , Zhao Yuxue , Liu Jing
Published: June 2022

Anthracnose, caused by Colletotrichum gloeosporioides, is highly harmful for walnut production in the world. To better control this disease, the inhibitory effects of 3 fungicides against Colletotrichum gloeosporioides were determined, and the results showed that prochloraz had better inhibitory activity. Through comparative metabolomics analysis, 311 metabolites might be associated with the walnut peel response to Colletotrichum gloeosporioides under prochloraz treatment. Furthermore, we supposed that the phenylpropanoid pathway might be induced by prochloraz to resist Colletotrichum gloeosporioides infection. In conclusion, the upregulated metabolites in the phenylpropanoid pathway might be related to synthesize lignin to further form a cell wall against Colletotrichum gloeosporioides infection.
Chinese Contemporary Music Diffusion Strategy Based on Public Opinion Maximization
Authors: Yang Yuanyuan
Published: June 2022

Chinese contemporary music has made tremendous progress in the twentieth century. After entering the twentieth century, with the rise of pop music, Chinese contemporary music has gradually been forgotten by people. Apparently, Chinese contemporary music has a long history and covers huge varieties. Nevertheless, the diffusion of Chinese contemporary music is restricted by many factors. The fundamental reason is that people’s cognition of Chinese contemporary music has changed. However, the rise of social networks provides a new opportunity for the diffusion of Chinese contemporary music. By searching nodes with high influence in social networks, where the node is enabled by the sensor, we transform the problem for maximizing public opinion into a process of searching nodes set of maximum influence, thus providing power for the diffusion of Chinese contemporary music. In this paper, from the perspective of percolation, the network connectivity changes caused by node failure are considered, and the set selection problems of high-influence individuals are mapped to the optimal percolation problem when the network has a percolation transition. Then an influence maximization algorithm is proposed based on the network percolation process, and the efficiency of the proposed algorithm is optimized. Through experiments, we can infer the reasonable range of maximum searching times for the influence maximization algorithm. Meanwhile, compared with other baselines, the searching time of the algorithm proposed in this paper is also the least. The experimental results reveal that the proposed algorithm is feasible to diffuse Chinese contemporary music and maximize its public opinion and has a strong impetus for the revival of Chinese contemporary music.
Artificial Intelligence Algorithm-Based MRI for Differentiation Diagnosis of Prostate Cancer
Authors: Luo Rui , Zeng Qingxiang , Chen Huashan
Published: June 2022

The rapid increase in prostate cancer (PCa) patients is similar to that of benign prostatic hyperplasia (BPH) patients, but the treatments are quite different. In this research, magnetic resonance imaging (MRI) images under the weighted low-rank matrix restoration algorithm (RLRE) were utilized to differentiate PCa from BPH. The diagnostic effects of different sequences of MRI images were evaluated to provide a more effective examination method for the clinical differential diagnosis of PCa and BPH. 150 patients with suspected PCa were taken as the research objects. Pathological examination revealed that 137 patients had PCa and 13 patients had BPH. The pathological results were the gold standard and were compared with the MRI results of different sequences. Therefore, the accuracy of the MRI results was evaluated. The results showed that with the rise of Gaussian noise, the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) of all three algorithms gradually decreased, but the PSNR and SSIM of the RLRE algorithm were always higher than those of the RL and BM3D algorithms (

P
<
0.05

). The sensitivity (97.08%), specificity (92.31%), accuracy (96.67%), and consistency (0.678) of the dynamic contrast enhancement (DCE) sequence were higher than those of the plain scan (86.13%, 69.23%, 84.67%, and 0.469, respectively). In conclusion, the RLRE algorithm could promote the resolution of MRI images and improve the display effect. DCE could better differentiate PCa from BPH, had great clinical application value, and was worthy of clinical promotion.
Chromatic Polynomial of Intuitionistic Fuzzy Graphs Using

α
,
β

-Levels
Authors: Repalle V. N. SrinivasaRao , Hordofa Lateram Zawuga , Ashebo Mamo Abebe
Published: June 2022

The article describes a new thought on the chromatic polynomial of an intuitionistic fuzzy graph which is illustrated based on

α
,
β

-level graphs. Besides, the alpha-beta fundamental set of an intuitionistic fuzzy graph is also defined with a vivid description. In addition to that, some characterizations of the chromatic polynomial of an intuitionistic fuzzy graph are specified as well verified. Furthermore, some untouched properties of the

α
,
β

-level graph are also projected and proved.
[Retracted] Evaluation of Water Resource Utilization Efficiency in Provincial Areas of China Based on the Unexpected Output SBM Model
Authors: Zhang Xiaheng , Lin Zekai
Published: June 2022

Based on the SBM model including unexpected output, this paper studies the water resource utilization efficiency of 30 provinces in China from 2003 to 2019. The study found that China’s water resource utilization efficiency showed obvious provincial differences. The water resource utilization efficiency of most eastern coastal provinces was relatively high, and that of most central and western inland provinces was not high. There are also significant differences among the three regions of the East, the middle, and the West. The utilization efficiency of water resources in the East is the highest, followed by the middle, and the West is the lowest. The redundancy of input factors, such as labor, capital, and water consumption, is the main reason for the low efficiency of water resource utilization, and the redundancy of wastewater discharge also affects the efficiency of water resource utilization. The clustering results show that the utilization efficiency of water resources in most provinces of China is located in medium efficiency area and low efficiency area, and the efficiency needs to be improved. There are relatively few provinces in high‐efficiency areas, highlighting that China’s water resource utilization still faces severe challenges.