bluuebunny/crossref_metadata_2025 huggingface dataset:
CA-XTree: Age Estimation of Grouped Gradient Regression Tree with Local Channel Attention
Authors: Lu Xiaoding , Wang Zhengyou , Xia Yanhui , Zhuang Shanna
Published: May 2022

Face age estimation has been widely used in video surveillance, human-computer interaction, market analysis, image processing analysis, and many fields. There are several problems that need to be solved in image-based face age estimation: (1) redundant information of age characteristics; (2) limitations of age estimation methods in solving age estimation problems; (3) the performance of age estimation models being also affected by gender factors. This paper proposes CA-XTree network. Firstly, features are extracted through the convolution layer and then combined with the local channel attention module to strengthen the ability of age feature information interaction between different channels. Secondly, extracted features are inputted into the recommendation score function to obtain the recommendation score, by combining the recommendation score with the gradient ascending regression tree. The lifting tree processed loss function is the mean square loss function, and the final age value is obtained by the leaf node. This paper improves state of the art for image classification on MORPH and CACD datasets. The advantage of our model is that it is easy to implement and has no excess memory overhead. In the age dataset CACD, the mean absolute error (MAE) has reached 4.535 and cumulative score (CS) has reached 63.53%, respectively.
A Prospective Evaluation of the Awareness, Knowledge, and Management of Osteoporosis in a Cohort of Medical Staff
Authors: Zhou Xiaoling , Li Xin , Wei Tingting , Xu Ying , Mao Yuanyuan , Lei Chen
Published: May 2022

Objective. To investigate the differences in the awareness, knowledge, and management of osteoporosis from a cohort of medical staff after educational intervention. Methods. A total of 653 medical workers from different departments related to the prevention and treatment of osteoporosis from 7 hospitals in Ningxia were enrolled. Information was collected using a designed questionnaire. Results. After 5 years of educational intervention and follow-up, medical staff had an increased understanding of osteoporosis diagnosis, including dual-energy X-ray, ultrasound bone sonometer, fragility fracture history, biochemistry markers, and the awareness of the susceptible population. However, there was no improvement in the cognition of single/dual photo absorptiometry, symptoms and signs, and bone turnover index. Their understanding of antiosteoporosis drugs, especially the application of calcitonin, diphosphates, and vitamin D, was significantly promoted, while the perception of indicators and time in follow-up, some adverse drug reactions, and exercise therapy remained unchanged. Medical staff were remarkably less aware of the management of follow-up for osteoporosis, exercise and diet therapy, and bone turnover markers. Conclusion. A great gap was identified in the perception of osteoporosis among medical staff in the Ningxia region. After the educational intervention, the knowledge regarding some aspects of osteoporosis generally improved. Much more effort should be made to strengthen the training and learning on the special detection methods of osteoporosis, medications and exercise therapy, and follow-up management.
Three’s Company: Coexistence of Silicosis, Scleroderma, and Sjogren Syndrome in a Single Patient
Authors: Ziebelman Alexis , Raibman-Spector Shir , Gendelman Omer
Published: May 2022

We describe a patient who presented with silicosis, scleroderma, and Sjogren syndrome all at the same time. The diagnoses in this case are all associated with continuous exposure to crystalline silica at the patient’s workplace. The following report discusses this unique presentation.
Causes and Risk Factors of Repeated Hospitalization among Patients with Diabetic Retinopathy
Authors: Xiao Yu , Liang Yingying , Lin Zhanjie , Kong Huiqian , Du Zijing , Hu Yunyan , Ouyang Shuyi
Published: May 2022

Purpose. To identify the causes and risk factors of repeated hospitalization among patients with diabetic retinopathy (DR). Methods. Our study retrospectively examined the data of DR patients who were readmitted for treatments to the Department of Ophthalmology, Guangdong Provincial People’s Hospital between January 2012 and July 2021. We first analyzed the main causes of repeated admissions and then divided the patients into three groups according to the times of readmissions. Ordinal logistic regression was performed to determine the impact of patients’ demographic and clinical characteristics. Moreover, comparisons of the length of stay and the hospitalization cost of DR patients with repeated admission causes were conducted. Results. Among 2592 hospital discharges of 827 patients who experienced at least two hospitalizations, the major causes of repeated hospitalization were macular edema (30.83%), vitreous hemorrhage (29.09%), cataract (22.76%), proliferative membrane formation (6.91%), silicone oil removal (4.71%), retinal detachment (4.44%), and glaucoma (4.17%). The results of ordinal logistic regression showed that younger patients with medical insurance and local residence have a higher risk of repeated hospitalization (

p
<
0.05

). Furthermore, patients readmitted for vitreous hemorrhage, proliferative membrane formation, and retinal detachment experienced longer length of hospital stay and higher hospitalization cost (

p
<
0.001

). Conclusions. Multiple causes and risk factors contribute to repeated hospitalization, imposing a substantial physical and economic burden on DR patients. A better understanding of these causes and risk factors of readmission may lead to lowering such risks and alleviating patients’ burden.
Identification of the Active Compound of Liu Wei Di Huang Wan for Treatment of Gestational Diabetes Mellitus via Network Pharmacology and Molecular Docking
Authors: Xiong Yunqi , Li Qiutong , Chen Xiuhui , Zhu Ting , Lu Qitian , Jiang Guojing
Published: May 2022

Liu Wei Di Huang Wan (LWDHW) is a well-known Chinese herbal compound, which has been prescribed for the treatment of gestational diabetes mellitus (GDM). We sought to clarify the potential therapeutic effects of LWDHW against GDM. Differentially expressed genes (DEGs) in GDM were firstly identified from the Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to reveal the biological functions of the DEGs. Subsequently, the LWDHW-compound–target network was constructed based on public databases to identify the relationship between the active components in LWDHW and the corresponding targets. Furthermore, gene functional analysis and protein–protein interaction (PPI) network construction were applied to investigate the function of potential targets and to evaluate hub genes. Finally, molecular docking was used to verify the binding activities between active ingredients and hub targets. Thirteen active components and 39 corresponding therapeutic target genes were obtained via network pharmacology analysis. The enrichment analysis demonstrated that the anti-GDM effect of LWDHW included oxidoreductase activity, involvement in renal system process, and regulation of blood pressure, which may be achieved through regulation of serotonergic synapses, vascular smooth muscle contraction, and neuroactive ligand–receptor interaction pathways. Additionally, molecular docking revealed that the main active component, Mu Dan Pi, exhibited the best affinity for proteins encoded by hub genes. This study applied network pharmacology analysis and molecular docking to display the multicomponent and multitarget characteristics of LWDHW in the treatment of GDM. Our findings provide novel insights into the pathogenesis of GDM and the therapeutic mechanisms of LWDHW against GDM.
Solute Carrier Family 35 Member F2 Regulates Cisplatin Resistance and Promotes Malignant Progression of Pancreatic Cancer by Regulating RNA Binding Motif Protein 14
Authors: Zhang Shuxian , Li Qingqing , Yuan Huixiao , Ren Ling , Liang Xuyang , Li Shouying , Lv Shengxiang , Jiang Hua
Published: May 2022

We aimed to explore the role of Solute Carrier Family 35 Member F2 (SLC35F2) in pancreatic cancer (PCa) and to further study whether SLC35F2 regulates cisplatin resistance of PCa cells through the modulation of RNA binding motif protein 14 (RBM14) expression. SLC35F2 expression in 60 pairs of PCa tissues and adjacent ones was studied by RT-PCR analysis. Meanwhile, SLC35F2 expression levels in PCa cell lines were also evaluated by qPCR assay. In addition, SLC35F2 knockdown models were constructed in PCa cisplatin-resistant cells. Furthermore, we determined the interaction between SLC35F2 and RBM14 via luciferase assay. The findings of the present study demonstrated that SLC35F2 was significantly upregulated in PCa tissues. High level of SLC35F2 indicated higher incidence of metastasis and shorter survival rates. In vitro cell experiments revealed that knockdown of SLC35F2 suppressed cell invasion and metastasis capacity of cisplatin-resistant PCa cell lines PANC-1/DDP and CFPAC-1/DDP. It was also suggested that the key protein RBM14 in the SLC35F2 knockdown group was remarkably reduced. SLC35F2 can bind to RBM14 specifically. Overexpression of RBM14 partially reversed the effects of knockdown of SLC35F2 on the development of PCa. SLC35F2 expression in PCa tissues and cell lines is remarkably increased. In addition, it was also suggested that SLC35F2 may regulate cisplatin resistance of PCa cells through modulating RBM14 expression. In conclusion, it is conceivable from the study that SLC35F2 was remarkably upregulated in PCa and promoted the malignancy of PCa via regulating RBM14.
Visual Outcomes after Implantation of Lucidis EDOF IOL
Authors: Rabinovich Mark , Ceresara Gaia , Aramburu del Boz Ana , Al Khatib Danial , Crespe Marie , Bovet Jerome
Published: May 2022

Purpose. To evaluate the visual performance and clinical outcomes after implantation of Lucidis EDOF IOL following cataract surgery. Design. In this retrospective study, medical records from all enrolled patients were analyzed, and the following information was extracted retrospectively over 3 months following surgery. Materials and Methods. We reviewed retrospectively 181 eyes of 98 patients, who underwent cataract surgery with Lucidis extended depth of focus IOL. Results. 44 patients were males (45%) and 54 were females (55%). The average age of the study population was 68 ± 11 years. The mean preoperative BCVA (logMAR) was 0.19 ± 0.18. The mean root mean square (RMS) high order aberration (HOA) was 0.18 ± 0.1. Monocular BCVA results were 0.02 ± 0.04 (logMAR) and 0.028 ± 0.04 (logMAR) 1 month and 3 months postoperatively, respectively. Between the baseline and 1-month measures, monocular distance BCVA improved by an average of 0.17 ± 0.14 logMAR (

p

 = 0.0001). Between the baseline and 3-month postoperative measures, monocular distance BCVA improved by an average of 0.16 ± 0.13 logMAR (

p

 = 0.0001). Monocular UDVA 1 and 3 months postoperatively was 0.08 ± 0.1 logMAR and 0.067 ± 0.08 logMAR, respectively. 1-Month postoperative binocular UDVA was 0.036 ± 0.05 logMAR, binocular UIVA was 0.1 ± 0.08 logMAR, and binocular UNVA was 0.12 ± 0.14 logMAR. 3-Month postoperative binocular UDVA was 0.038 ± 0.05 logMAR, binocular UIVA was 0.09 ± 0.1 logMAR, and binocular UNVA was 0.16 ± 0.14 logMAR. Conclusions. Lucidis EDOF IOL achieves good visual performances in all distances.
Three-Dimensional Echocardiography and Coagulation Function Detection in the Prognosis Evaluation of Patients with Acute Myocardial Infarction
Authors: Zhang Yatong , Zhao Zinan , Zheng Li , Zhang Tian , Sun Xuelin
Published: May 2022

This research was aimed at discussing the application value of coagulation function detection and three-dimensional echocardiography in the prognosis evaluation of acute myocardial infarction (AMI) patients. 72 patients with AMI were divided into the recovered group (good recovery) and unrecovered group (poor recovery) according to the results of postoperative ultrasonography. The left ventricular parameters of the patients were detected by three-dimensional ultrasound, and the coagulation function was also detected. The results showed that 3 months after surgery, the regional end-systolic volume (rESV) and regional end-diastolic volume (rEDV) of the left ventricle in the patients were smaller than the measured values 1 week after surgery. The left ventricular regional ejection fraction (rEF) was greater than the value measured 1 week after surgery, and all the differences were statistically significant (

P
<
0.05

). For the end-systolic volume (ESV), end-diastolic volume (EDV), and ejection fraction (EF) (%), the two-dimensional ultrasound results were significantly lower than the three-dimensional ultrasound results, and there were significant differences (

P
<
0.05

). Tmsvle6-Dif% of the recovered patients was

14.99
±
9.88

and

14.37
±
9.78

3 months and 6 months after surgery, respectively. These were smaller than

30.91
±
18.63

and

33.51
±
17.96

of the unrecovered patients; the differences were of statistical significance (

P
<
0.05

). Tmsvl6-SD% of recovered patients was

3.69
±
2.47

and

3.61
±
1.83

3 months and 6 months after surgery, respectively, which were also smaller than

7.38
±
4.06

and

7.96
±
2.82

of unrecovered patients, showing statistically significant difference (

P
<
0.05

). The postoperative Tmsvle6-Dif% and Tmsvl6-SD% of the recovered group were lower than those of the unrecovered patients, with the statistically significant differences (

P
<
0.05

). The level of coagulation factors in the recovered group was also significantly lower than that in the unrecovered group with the difference statistically significant (

P
<
0.05

). The results suggested that three-dimensional echocardiography played an important role in the evaluation of cardiac conditions in AMI patients. The level of coagulation factors varied with the AMI condition of patients, and there was an obvious relationship between them, which could provide a reference value for the prognosis evaluation of patients.
The Impact of Digital Technology on the Optimization of Higher Education Teaching Models in an Epidemic Environment
Authors: Zhu Yuanyuan
Published: May 2022

The Corona Virus Disease 2019 epidemic broke out in 2020, and digital technologies pervaded all aspects of people’s lives, resulting in a significant shift in how education is delivered. The importance and role of digital technologies and online learning are highlighted in this paper, which examines the challenges posed by the sudden epidemic crisis to higher education institutions, analyses the factors that universities must consider in order to effectively create flexible learning pathways, and examines the challenges posed by the sudden epidemic crisis to higher education institutions. In the postepidemic era, the use of the Internet and online teaching platforms by university faculty to integrate online and offline teaching has not only facilitated the construction of “golden courses” but also added impetus to teaching reform, and digital technology-based teaching models have provided higher education practitioners with the opportunity to rethink scholarship and innovative teaching. In this paper, we propose a personalized learning resource recommendation system that includes user profiles to fully explore and analyze users’ learning behaviors and cognitive characteristics and enhance the depth and breadth of personalized education with the help of the Internet and artificial intelligence technologies in order to provide meaningful information and thoughts for higher education institutions to discuss and adapt to the education model in the postepidemic era. The goal is to provide useful information and ideas for higher education institutions to discuss and adapt to the postepidemic education paradigm.
Performance Management of Education and Teaching Reform Based on Convolutional Neural Network
Authors: Zhou Donghua , He Shan
Published: May 2022

The teaching reform of higher education has always attracted much attention, and higher education has been the key object of the national education reform. The quality of higher education, the quality of talent training, the quality of scientific research, the quality of social service, and the structure to produce characteristics must all be improved. The success of higher education teaching reform is not only related to the quality of university personnel training and important task of serving the society, but also related to connotative development of universities and sustainable development of higher education. Education and teaching reform is an all-round and systematic project, which involves reforms in different aspects, such as teaching management, teacher teaching, professional setting, and curriculum development. The outcome of the extended efforts and practical advancements in education teaching reforms is to evaluate the effects and achievements of these reforms. However, the reforms and achievements of education and teaching are much higher and effective in comparison to improvements in theoretical research and practical experience. Therefore, this work is based on the CNN (Convolutional Neural Network) and designed an intelligent model for the evaluation and management of peer-to-peer education and teaching reform achievements. This work contributes in the following three manners: (I) It includes construction of a deep one-dimensional CNN and sends relevant data of college education and teaching reform into network with the objective to realize adaptive feature extraction and high-accuracy evaluation. (II) It also realizes the management of higher education teaching quality. (III) It aims to show a greater impact of hyperparameters in the CNN performance, genetic algorithm. This proposition is to optimize hyperparameters. It proves the validity and authenticity of this work through systematization, logic, and experiment.
DANC-Net: Dual-Attention and Negative Constraint Network for Point Cloud Classification
Authors: Sun Hang , Zhang Yuanyue , Shi Jinmei , Sun Shuifa , Sheng Guanqun , Wu Yirong
Published: May 2022

Convolutional neural networks, as a branch of deep neural networks, have been widely used in multidimensional signal processing, especially in point cloud signal processing. Nevertheless, in point cloud signal processing, most point cloud classification networks currently do not consider local feature correlation. In addition, they only adopt ground-truth as positive information to guide the training of networks while ignoring negative information. Therefore, this paper proposes a network model to classify point cloud signals based on feature correlation and negative constraint, DANC-Net (dual-attention and negative constraint on point cloud classification). In the DANC-Net, the dual-attention mechanism is utilized to strengthen the interaction between local features of point cloud signal from both channel and space, thereby improving the expression ability of extracted features. Moreover, during the training of the DANC-Net, the negative constraint loss function ensures that the features in the same categories are close and those in the different categories are far away from each other in the representation space, so as to improve the feature extraction capability of the network. Experiments demonstrate that the DANC-Net achieves better classification performance than the existing point cloud classification algorithms on synthetic datasets ModelNet10 and ModelNet40 and real-scene dataset ScanObjectNN. The code is released at https://github.com/sunhang1986/DANC-Net.
On

Λ

p

B
V
-Solutions of Some Nonlinear Integral Equations on the Plane
Authors: Ereú Jurancy , Pérez Liliana , Rodríguez Luz
Published: May 2022

In this paper, we define the space of functions

Λ

p

-bounded variation on the plane and endow it with a norm under which it is a Banach space. In addition, we study some nonlinear integral equations and providing conditions for the functions and kernel involved in such equations under which we guarantee the existence and uniqueness in the space of functions of bounded variation in the sense of Shiba on the plane,

Λ

p

B
V

I
a
b

,
ℝ

.
Applicability of Mönch’s Fixed Point Theorem on Existence of a Solution to a System of Mixed Sequential Fractional Differential Equation
Authors: Awadalla Muath
Published: May 2022

In this paper, we study the existence and uniqueness of the solution for a coupled system of mixed fractional differential equations. The main results are established with the aid of “Mönch’s fixed point theorem.” In addition, an applied example that supports the theoretical results reached through this study is included.
MZF1 Transcriptionally Activated MicroRNA-328-3p Suppresses the Malignancy of Stomach Adenocarcinoma via Inhibiting CD44
Authors: Qi Zining , Wang Jing , Li Yaoping , Xu Yanzhao
Published: May 2022

MicroRNA-328-3p (miR-328-3p) plays a critical role in mediating the progression of multiple types of cancers. To date, no study has concentrated on the molecular mechanism of miR-328-3p in mediating stomach adenocarcinoma (STAD). In this study, it was found that miR-328-3p was downregulated in STAD, and inhibition of miR-328-3p significantly promoted the growth, migration, invasion, and stemness of STAD cells, while miR-328-3p overexpression exerted reverse effects. Through bioinformatics analysis, it was uncovered that a cluster of differentiation 44 (CD44) was upregulated in STAD and closely associated with the prognosis of STAD patients. Mechanistically, we identified CD44 as the target gene of miR-328-3p. Notably, knockdown of CD44 abolished the promoting function of miR-328-3p inhibitor in the development of STAD. Moreover, myeloid zinc finger protein 1 (MZF1) was confirmed as an upstream transcription factor for miR-328-3p, which is involved in enhancing miR-328-3p expression. In addition, the role of MZF1 downregulation in the malignant traits of STAD cells was blocked by miR-328-3p overexpression. More importantly, upregulation of miR-328-3p efficiently suppressed STAD tumor growth in vivo. Collectively, our findings illustrated that MZF1-mediated miR-328-3p acted as a cancer suppressor in STAD progression via regulation of CD44, which suggested the possibility of the MZF1/miR-328-3p/CD44 axis as a novel promising therapeutic candidate for STAD.
Proteomic Analysis of Human Follicular Fluid Reveals the Pharmacological Mechanisms of the Chinese Patent Drug Kunling Pill for Improving Diminished Ovarian Reserve
Authors: Wang Haiyan , Cao Dan , Wang Meixian , Shi Yanbin , Wei Bowen , Jiang Shiyuan , Jiang Yangyu , Lian Hui , Xue Xiaoou , Ma Zhiqiang , Li Jian
Published: May 2022

Objective. To explore the pharmacological mechanism of a Chinese patent drug (Kunling Pill (KLP)) on improving diminished ovarian reserve based on proteomic analysis. Methods. A total of 18 patients divided into three groups (the normal ovary reserve (NOR), diminished ovary reserve (DOR), and KLP groups) undergoing assisted reproductive technology by standard ovarian stimulation protocols were recruited to collect follicular fluid. Data-independent acquisition mass spectrometry was used to identify differentially expressed proteins by nano-LC-MS/MS. Bioinformatic analysis was conducted to predict the functions and pathways of the identified proteins. Clinical, hormonal, and biochemical parameters were also analyzed in the three groups. Results. A total of 144 differentially expressed proteins were screened out, including 56 proteins that were downregulated and 88 proteins that were upregulated in the DOR group compared with the NOR group, while 27 proteins were shared in the KLP-treated group. Among them, 10 proteins were upregulated and 17 proteins were downregulated in the KLP-treated group compared with the DOR group. The most enriched biological processes accounted for 28 GO terms, including cellular process, biological regulation, metabolic process, and regulation of biological process. Significant pathways were associated with fatty acid elongation, fatty acid degradation, fatty acid metabolism, nicotinate and nicotinamide metabolism, and valine, leucine, and isoleucine degradation. Conclusion. Our study provides the proteome profiles of human follicular fluid from DOR patients treated by KLP. Functional analyses of proteome datasets revealed that core proteins (SAA1, MIF, and PRDX5) and related pathways (fatty acid metabolism, nicotinate and nicotinamide metabolism, and tyrosine and purine metabolism) are possible pharmacological mechanisms through which KLP improves DOR. Therefore, these findings may help better understand the complex mechanisms through which DOR is treated by the Chinese patent drug KLP.
Effect of Nanoclay Filler on Fatigue Life of Natural Rubber/Styrene-Butadiene Blend
Authors: Bakhshizade Ali , Ghasemi-Ghalebahman Ahmad , Hajimousa Mohammad Ali
Published: May 2022

In this paper, the fatigue life of natural rubber (NR)/styrene-butadiene rubber (SBR) compound is evaluated experimentally. The parameters investigated are the NR, SBR, and nanoclay loading in the composition, strain amplitude, and the frequency of the fatigue test. Fracture surfaces of NR/SBR/nanoclay compound are investigated using scanning electron microscopy (SEM). The results show that by increasing NR and the nanoclay loading in the rubber composition, the fatigue life of the rubber increases. For the nanoclay, a threshold value exists beyond which the fatigue life of the rubber compound decreases. It is also observed that by increasing the test frequency, the fatigue life of the rubber compound decreased. Tensile, hardness, and dynamic mechanical thermal analysis (DMTA) tests were also performed to evaluate the mechanical and thermal properties of the compound. SEM results show that by increasing the strain amplitude, the test specimens fail softly, and the addition of nanoparticles roughens the fracture surface and increases the fatigue life.
Incomplete Metric With The Application For Integral Equations of Volterra Type
Authors: Chandok Sumit , Paunović Ljiljana , Radenović Stojan
Published: May 2022

In this article, we propose some weaker orthogonal

τ
,

F

T

−

type of contraction mappings in the setting of metric spaces endowed with an orthogonal relation, as well as certain sufficient criteria for the existence of fixed points for this class of mappings. To establish all of our results in the manuscript, we just used Wardowski’s strictly increasing property. Using the aforementioned results as an application, we demonstrate that the Volterra type integral equation has a solution and is stable in the Hyers-Ulam-Rassias-Wright sense.
Empirical Analysis of Organization Quality-Specific Immune Evolution of Intelligent Manufacturing Enterprises Based on Self-Organization Methods
Authors: Liu Qiang , Tong Yuqiong , Zhao Danyu
Published: May 2022

Strengthening organization quality-specific immune is the key linkage to improve the quality performance of intelligent manufacturing enterprises. organization quality-specific immune is constructed by selecting four state variables of organization quality cognition, monitor, defense, and memory. Based on the perspective of self-organization, self-organization theory and methods are used to construct the evolution model of organization quality-specific immune. According to four state variables, the evolution of organization quality-specific immune of fourteen typical intelligent manufacturing enterprises is studied, and the conclusion is drawn according to the relaxation coefficient. The empirical results show that self-organization theory and self-organization methods can effectively analyze the evolution of organization quality-specific immune and provide new inspiration for organization quality improvement and quality management of intelligent manufacturing enterprises. The finding results will present the framework for practicing engineering managers of intelligent manufacturing enterprises to enhance organization quality performance and organization quality-specific immune performance and promote organization quality-specific immune evolution.
Numerical Simulation of Hot Stamping Forming of AZ Series Magnesium Alloys and Optimization of Die Process
Authors: Qian Fang
Published: May 2022

In order to deal with the bottleneck of poor plasticity and low formability of magnesium alloys at room temperature, a numerical simulation and a die process optimization method based on hot stamping of AZ series magnesium alloys were proposed. Firstly, based on the PAM-STAMP finite element analysis platform, the thermomechanical coupling numerical simulation is carried out for the cross cup-shaped deep drawing, and the changes in the stress and temperature field during the forming process are analyzed. Aiming at the influence of various process parameters on the plastic formability of magnesium alloys, the effects of sheet metal shape, die fillet size, friction factor, and blank holder force on the forming quality were analyzed through experiments. The experimental results show that under the same conditions such as temperature and blank holder force, the numerical simulation method and the mold process optimized in this paper can be used to form parts that are 25% deeper than the traditional process, and the sheet material can be thinned to the maximum at this time. The amount is 0.152 mm, which verifies the correctness and superiority of the method and process in this paper.
Follow the Footsteps of Leonardo Fea: An Example of an Integrative Revision of Freshwater Mussel Taxa Described from the Former British Burma (Myanmar)
Authors: Bolotov Ivan N. , Konopleva Ekaterina S. , Vikhrev Ilya V. , Win Than , Lunn Zau , Chan Nyein , Gofarov Mikhail Yu , Kondakov Alexander V. , Tomilova Alena A. , Pasupuleti Rajeev , Subba Rao Nalluri V.
Published: May 2022

Leonardo Fea, an Italian explorer and traveler, sampled a comprehensive collection of continental Mollusca during his travels throughout the former British Burma (currently Myanmar) in 1885-1887. Cesare Maria Tapparone-Canefri, an Italian malacologist, studied this sample and published a paper with a description of numerous terrestrial and freshwater molluscan taxa new to science. This collection was partly deposited in the Museo Civico di Storia Naturale di Genova (MSNG), Italy and the Indian Museum (ZSI: Zoological Survey of India) in Kolkata. Here, we provide a re-analysis of C.M. Tapparone-Canefri’s Burmese Unionidae collection. Our study reveals that the type series of only four nominal taxa described by Tapparone-Canefri as new to science in 1889 are still available in the MSNG, i.e. Unio rectangularis, U. pulcher, U. protensus var. obtusatus, and U. marginalis var. subflabellata. The first taxon is a valid species belonging to the genus Yaukthwa, while U. pulcher and U. protensus var. obtusatus are considered here as junior synonyms of the widespread Lamellidens generosus, and the last nominal taxon corresponds to L. savadiensis. The MSNG collection also contains shell lots of Indochinella pugio pugio, I. pugio paradoxa, Indonaia andersoniana, Radiatula chaudhurii, R. mouhoti haungthayawensis, Lamellidens savadiensis, L. generosus, Yaukthwa nesemanni, and Y. zayleymanensis, most of which were listed in Tapparone-Canefri’s work under incorrect names. We revise all the freshwater mussel taxa listed by Tapparone-Canefri based on the original descriptions, available DNA sequences, morphological data, and biogeographic evidence. A freshwater mussel from the Haungthayaw River that was identified by Tapparone-Canefri as Unio exolescens is described here as Trapezoideus mitanensis sp. nov., a fourth species in this small Contradentini genus with a restricted range. Finally, new taxonomic opinions are proposed here for Leoparreysia tavoyensis, Trapezidens dolichorhynchus, Lamellidens generosus, and Lamellidens savadiensis.
[Retracted] Land Price Distortion, Financial Development, and Regional Innovation
Authors: Zhou Pengcheng , Qin Ruiqi , Luo Baitang , Wen Hao
Published: May 2022

As an important tool for local governments to implement regional development policies, the allocation of land resource plays an important role in promoting regional innovation and development. Based on the microdata of land transfer in 287 cities in China from 2007 to 2017, this study examines the relationship between land price distortion, regional financial development, and regional innovation ability. The results show that land price distortion promotes the improvement of regional innovation ability. There is a significant time‐lag effect because it is mainly realized by increasing the fiscal revenue of local governments and providing implicit subsidies to enterprises. The larger the financial scale is, the better the financial structure is and the higher the financial efficiency will further strengthen such a positive effect. Further analysis shows that the impact of land price distortion on improving regional innovation ability is significantly different between central or western regions and the eastern regions. This study provides empirical evidence for promoting regional innovation ability by land price distortion, which is conducive to a better understanding of the importance of reasonable land resource allocation and financial market development in the process of high‐quality economic development, providing a useful insight into China’s future reform of land market and financial market.
[Retracted] Seismic Performance Analysis of Steel Truss Coal Conveying Trestle Based on Multisensor Data Fusion
Authors: Yao Bo-yu
Published: May 2022

Coal ranks first in the energy demand of our country, and it also plays an unshakable role in promoting national defense and economic development. Coal conveying trestle is the link and lifeline in the process of coal production. Once it is damaged by an earthquake, it will cause great losses in the production of coal enterprises. Therefore, it is of great significance to analyze the seismic performance of long‐span coal conveying trestle and apply it to engineering design. To solve this problem, an analysis method based on the combination of field measurement and finite element simulation is proposed. Firstly, multisensor data fusion is introduced, and the finite element model for the dynamic characteristic analysis of long‐span coal conveying trestle is constructed. Then, based on multisensor data fusion, the dynamic characteristics of long‐span coal conveying trestle are measured. Finally, the model is modified based on the measured results, and the seismic performance of long‐span coal conveying trestle under strong earthquake is analyzed. The results show that the model can accurately characterize the seismic performance of long‐span coal handling trestle, which provides an effective numerical simulation method for the engineering design of coal handling trestle.
Hsa_circ_0000994 Inhibits Pancreatic Cancer Progression by Clearing Immune-Related miR-27a and miR-27b
Authors: Liu Jun , Yuan Wei , Gong Dongwei
Published: May 2022

Pancreatic cancer (PC) is a common cause of cancer death. Although more and more evidences suggest that circular RNAs (circRNAs) are associated with the development of cancer, the biological function of circRNAs in PC has not been fully explored. Based on previous studies, Hsa_circ_0000994 was screened out, and its clinical significance, functional role, and mechanism in PC are poorly studied. In various cell lines, 50 PC tissues, and an equal number of normal tissues, RT-qPCR was used to identify expression level of Hsa_circ_0000994. The impact of Hsa_circ_0000994 on metastasis, cell proliferation, and apoptosis was detected using functional loss and functional gain tests. An animal study was also conducted. Underlying mechanisms of Hsa_circ_0000994 were revealed by luciferase reporter gene detection. Hsa_circ_0000994 was lowly expressed in PC tissues as well as various PC cell lines, and this low expression was closely related to cancer. In terms of functional testing, Hsa_circ_0000994 suppressed core ability of PC cells, including proliferation, migration, and invasion ability. Xenotransplantation studies further confirmed the effect of Hsa_circ_0000994 in promoting cell growth. Mechanically, Hsa_circ_0000994 inhibited miR-27a and miR-27b. Hsa_circ_0000994 inhibited the cancer cells through the effect on miR-27a and miR-27b. In summary, a circRNA with tumor suppressor effects on PC has been elucidated.
Emergence of SARS-CoV-2 New Variants and Their Clinical Significance
Authors: Singh Hitesh , Dahiya Nisha , Yadav Mahima , Sehrawat Neelam
Published: May 2022

COVID-19 is a respiration-related disease caused by SARS-CoV-2 and was identified in China’s Wuhan city. More than 223 countries are affected by the disease worldwide. The new variants of the COVID-19 virus are causing problems, from average to life-threatening pneumonia and acute respiratory distress syndrome (ARDS). Presently, there are 170 vaccine candidates, out of which 10 have been approved by the WHO for vaccination, such as Ad26.COV2.S, Pfizer/BioNTech, COVISHIELD, Covovax, Moderna, KoviVac, and some other vaccines to combat the deadly SARS-CoV-2 infection. From all these vaccines, Pfizer/BioNTech and Moderna are showing the highest efficacy against COVID-19. These vaccines are highly efficient against COVID-19 disease, but their potentiality against new variants remains a question. COVID-19 vaccines are highly effective at preventing severe illnesses, hospitalizations, and death. The antibodies elicited by earlier infection or vaccination are the key for possible protection against SARS-CoV-2. The problem has been exacerbated by new information from Africa on the origins of the novel contagious SARS-CoV-2 strain. These new strains occur due to unique mutations in the spike protein, which modify SARS-CoV-2 transmission and infection capabilities, limiting the efficacy of the COVID-19 vaccination. Hence, there is a need to find a potential vaccine against it.
[Retracted] Ant Colony Algorithm‐Based Audit Supervision to Promote the Optimization of New Infrastructure Investment Environment
Authors: Yuan Feng
Published: May 2022

Infrastructure investment has the characteristics of high start‐up cost, high initial cost, long cycle, slow recovery, high risk, and high public welfare. Maintenance after completion requires stable financial support, maintenance costs are easily affected by government agencies, and investment efficiency is significantly reduced. This article focuses on the ant colony algorithm audit and supervision to promote the optimization of the new infrastructure investment environment and understands the relevant theories of infrastructure investment on the basis of literature data, and then, the audit supervision based on the ant colony algorithm promotes the optimization of the new infrastructure investment environment. The model is constructed, and the constructed model is tested. The test results show that, first, there is a dynamic equilibrium relationship between total infrastructure investment and GDP, even if it cannot explain the potential relationship between the two. In essence, infrastructure investment has a positive impact on economic growth. As the economic level increases, the demand for infrastructure will increase and infrastructure investment will inevitably increase. Second, the level values of the first order are all nonstationary sequences; after the difference, they are all stable and have the same single integral order. The model meets the preconditions of the cointegration test.
Integrated Evaluation of Corporate Investment Decision Performance Based on Fuzzy Sets and BP Neural Networks
Authors: Du Jiang
Published: May 2022

Enterprise investment decision performance evaluation is a complex system, which is affected by many factors. Based on the consideration of corporate strategy and stakeholders, a six-level index system is designed to evaluate the performance of corporate investment decision-making. The index-selection method combining benchmarking management and principal component analysis is established, and the enterprise management index analysis method based on neural network and fuzzy decision-making is designed. The multiattribute decision-making problem in enterprise performance evaluation is solved by using the triangular fuzzy-weighted Einstein-Bonferroni mean (TF-WEBM). The algorithm is suitable for multiattribute decision-making in a triangular fuzzy environment. Finally, the effectiveness of this method is verified by an enterprise performance evaluation example.
Simulation of the Bidding Behavior of Electricity Retailers Based on the
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-Learning Algorithm
Authors: Xie Yuting , Tian Lin , Luo Jinqing , Hu Xiuzhen , Qin Jie , Shu Kangan , Huang Wenyuan
Published: May 2022

At present, the reform of electricity marketization has become a new trend in the development of the world’s electric power industry and electricity retailers have a huge role in further activating power market competition. Simulation of the bidding behavior of electricity sales companies is helpful to analyze the rationality of the transaction behaviors of electricity sales companies and predict the potential risks of market operation. Considering the complex and diverse behaviors of electricity retailers and the immaturity of existing simulation technologies in the power sales market, this paper proposes a

Q

-learning algorithm-based simulation method for the bidding behavior of electricity retailers. Firstly, we analyze the factors influencing the bidding behavior of electricity retailers, then, we construct a simulation model of electricity retailers’ bidding behavior based on the

Q

-learning algorithm, and finally, we simulate the bidding process of medium- and long-term trading in provincial power markets by using simultaneous learning from both sides of the generation and consumption. The results show that the behavior of different types of electricity retailers meets the expected level of the model and the simulation method has generalization and extension significance. On this basis, this paper also proposes a bid simulation system architecture based on the bid line simulation model of electricity retailers, which provides a certain reference value for market operation agencies to carry out the corresponding deduction work.
Discretization Fractional-Order Biological Model with Optimal Harvesting
Authors: Noor S. Sh. Barhoom , Al-Nassir Sadiq
Published: May 2022

In this paper, a discretization of a three-dimensional fractional-order prey-predator model has been investigated with Holling type III functional response. All its fixed points are determined; also, their local stability is investigated. We extend the discretized system to an optimal control problem to get the optimal harvesting amount. For this, the discrete-time Pontryagin’s maximum principle is used. Finally, numerical simulation results are given to confirm the theoretical outputs as well as to solve the optimality problem.
A Critique on Task Allocation Processes in Distributed Agile Software Development
Authors: Ijaz Farah , Aslam Waqar , AlSanad Abeer Abdulaziz , Aslam Zahid , Ullah Insaf , ullah Fazl
Published: May 2022

Distributed agile software development is implemented to tackle the increasing competition and changing requirements of the software industry. It inspires the development of emergent software applications and supports user satisfaction with fast delivery to market at low cost. Distributed software development presents a complex distributed team structure of the software industry having various workplaces. Distributed agile software development requires effective and well-organized decisions during task allocation. Task allocation is a challenging activity across the spectrum of committed software developers in a distributed environment. Effective task allocation under the pressure of achieving project objectives is a complex management problem in distributed agile software development. Task allocation process is proposed to support effective task allocation in distributed agile software development. Firstly, we identify different aspects of the task allocation context to explore the basic requirements of decision-making in DASD. Based on the information related to the identified aspects, different types of process activities are defined; those should be fulfilled to support the task allocation decisions. Task allocation process during software project planning requires comprehensive information about various factors that influence decision-making. The proposed task allocation process is evaluated based on the process activities. None of the current state-of-the-art research works focus on an approach for task allocation that completely fulfills all activities related to high-level processes or low-level processes. We fill this gap by identifying, classifying, sequencing, and proposing these activities that can be used to realize a methodical approach for a generic task allocation process in a distributed agile software development setup.
Study of Problems Related to Laying Ballastless Track in the Turnout of Ballasted Track at High-Speed Railway Stations
Authors: Xue-Ning Ma , Zi-Xiang Hao , Chang Liu , Xu Wang , Bo-Lin Wang
Published: May 2022

Due to the complex dynamic interactions of the vehicle-track system in the turnout of high-speed railway stations on a ballasted track, the geometric position of the line changes rapidly. In order to improve the stability of the line, the ballasted track in the turnout area of the stations can be replaced by a ballastless track. Based on the engineering background of laying ballastless track in the turnout area of Zhonglan’s high-speed railway station, this paper studies the subgrade reinforcement scheme, subgrade settlement prediction, and ballasted-ballastless track transition section setting. The result shows that, in order to meet the requirements of laying ballastless track in the turnout area, a reinforcement scheme of subgrade impact rolling, surcharge preloading, and closed water isolation on the subgrade surface is proposed. Based on the commonness and individuality of the grey Verhulst, hyperbola, and Deng Yinger prediction model, this paper optimizes the combination of the three models. The sum of squares of the minimum errors of the combined model is used as the objective function to solve the optimal weighting coefficient, and in this way the combined prediction model is constructed. Through the prediction comparison, we found that the accuracy of the three-model combination prediction model is better than any single- or two-model combination, and its adaptability and reliability are stronger and more reliable. This dynamic analysis model of vehicle tracks was established to carry out the dynamic response analysis under the conditions of fastener stiffness grading transition and ballast glue grading curing ballast bed transition. The results show that the dynamic response indexes under the two transition modes meet the requirements for the smooth running of trains. Due to the convenience of fastener stiffness transition construction and easier replacement, this measure is recommended.