bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Coarse Aggregate Concentration on the Frost Resistance of Non-Air-Entrained Concrete
Authors: Cai Jiwei , Wang Donghui , Xu Gelong , Tian Qing , Guo Shaokun
Published: August 2022

Aggregate-interlocking concrete is a kind of low-carbon and high-performance concrete, while the aggregate-interlocking concrete prepared by the distributing-filling coarse aggregate (DFCA) process worsens frost resistance than ordinary concrete. In order to better apply the aggregate-interlocking concrete, it is necessary to figure out the relationship between the frost resistance and the coarse aggregate concentration. In the study, three series of concretes, C30, C40, and C50, are designed, and the charge passed, scaling mass, water uptake, and penetration depth of NaCl solution are tested as indicators to account for the relationship between frost resistance and coarse aggregate concentration. The results indicate that aggregate still has a strong restraint effect on the permeability of concrete after freezing-thawing cycling, but compared to the unfrozen concrete, the charge passed of the concrete with higher aggregate concentration tends to increase more intensively. The scaling happens at both bulk mortar and interfaces between aggregate and mortar. The increase in aggregate concentration could restrain the scaling of mortar, but excessive aggregate concentration results in a significant increase in scaling mass. The concrete with higher coarse aggregate concentration could absorb more water during the freezing-thawing cycling, and the penetration depth of NaCl solution also increases with the increase of coarse aggregate concentration. The results reveal that the increase in aggregate concentration degrades the frost resistance of concrete, and the DFCA process could be applied in high-strength concrete to mitigate the negative effect of coarse aggregate on the frost resistance of concrete.
Challenges of International Trade and Government Governance from the Perspective of Economic Globalization
Authors: Ge Dan
Published: August 2022

How to provide a harmonious and fair competition environment for trade activities depends on the effective management of government departments and organizations. How to play a real protective role in trade activities requires the optimization of government functions and the enhancement of economic management capabilities. Therefore, timely forecasting changes in import and export trade and formulating targeted preferential policies are of great significance for evaluating the development of the national market economy, promoting the development of the national economy, and further enhancing the country’s economic capacity. This chapter also establishes an early warning model of Shenzhen’s import and export transactions based on GMDH network. On the basis of expounding the particle swarm optimization algorithm and GMDH algorithm, the optimization mode, method, and process of GMDH network based on particle swarm optimization are also expounded. First of all, in China’s domestic macroeconomic environment, national policy environment indicators and foreign macroeconomic environment indicators, eight indexes related to international import and export transactions are selected, and the autocorrelation test and main component analysis of the indexes are carried out. Finally, the simulation results show that compared with a single GMDH network, the GMDH neural network after particle swarm optimization can get better prediction conclusions. The research results of this paper show that the GMDH network can more accurately predict the trend of Shenzhen’s international import and export transactions because of its adaptive structure, creating a new way for international import and export transaction forecasting.
Image Processing Based on Fuzzy Mathematics Theory
Authors: Hou Maowen
Published: August 2022

In order to further improve the problems of poor rationality and weak antinoise ability of existing image processing algorithms and technical algorithms, an image processing research method based on fuzzy mathematical theory is proposed. First, aiming at the ill-posed problem of the PFCM algorithm, the neutrality and rejection degree are used to construct a regular term and embed the algorithm objective function to enhance the correlation between the attribute parameters of the fuzzy set of the sample graph, so as to solve the ill-posed problem of the PFCM algorithm. Secondly, in view of the same noise sensitivity problem of PFCM algorithm as a traditional fuzzy clustering algorithm, combined with the robust ideas of FCM_S1 and FCM_S2 algorithms, the objective function of robust segmentation algorithm for graph fuzzy clustering (RPFCM_s) is constructed. The misclassification rate of the clustering algorithm proposed in this study in image segmentation is reduced by 38%–76%, and the misclassification rate of the corresponding segmentation result of the ATPFCA algorithm is reduced by 5%–77%. Therefore, the algorithm not only improves the effective segmentation efficiency of the fuzzy mathematical theory algorithm for the processing of uneven grayscale images but also enhances the anti-noise robustness of the algorithm.
Remote Surveillance System without Privacy Leakage for Contacts in Infectious Disease
Authors: Li Zechen , Zhao Jingxiu , Meng Jing , Si Guangtao , Li Wei
Published: August 2022

Remote surveillance is an effective method in restraining the spread of infectious diseases via monitoring crowds in affected areas. However, the monitoring targets in existing works are crowds, leading to high system cost, and most of them focus on finding close contacts, less considering the privacy protection and suspected treatment issues. To conquer above problems, this paper develops a new remote surveillance system for infectious diseases, which contains the following major contributions: (1) the monitoring targets are the ordinary contacts not all crowds, effectively decreasing the system cost; (2) establish the joint-control mechanism among contacts, health center, and the hospital to facilitate the prediagnosis and in-time treatment for suspected patients; (3) to avoid the privacy leakage of contacts, a double encryption strategy is designed to protect the location information, and a separating database-storage mechanism is used to improve the contact’s data security on the whole. Theoretical security analysis showed that the proposed system and privacy protection methods can effectively fight transmission attacks and avoid privacy leakage during data usage. Based on the created COVID-19 dataset, the simulation experiments were carried out to evaluate the effectiveness and feasibility of the proposed system, on the metrics of the accuracy of prediagnosis, encryption, and decryption time for health and location data. In summary, this work provides a promising way of low-cost remote surveillance system without privacy leakage to control the spreading of infectious disease.
Heterogeneity in NK Cell Subpopulations May Be Involved in Kidney Cancer Metastasis
Authors: Liang Zhengfang , Nong Fengwei , Zhao Jingjie , Wei Dalong , Tang Qianli , Song Jian , Meng Lingzhang
Published: August 2022

Although substantial progress has been made in the immunotherapy of kidney cancer, its efficacy varies from patient to patient, with many responding suboptimally or even developing metastases. Thus, research on the tumour immune microenvironment and immune cell heterogeneity is essential for kidney cancer treatment. In this study, natural killer (NK) cell populations were isolated using signature genes from the single-cell sequencing data of clear cell renal cell carcinoma (ccRCC) and normal kidney tissues and divided into three subpopulations according to the differences in gene expression profiles: NK(GZMH), NK(EGR1), and NK(CAPG). Gene set enrichment analysis revealed that NK(EGR1) and NK(CAPG) were closely related to tumour metastasis, as shown by kidney cancer metastasis to Hodgkin lymphoma, T-cell leukaemia, and Ki-1+ anaplastic large cell lymphoma. Thus, these two NK cell subpopulations are promising targets for inhibiting metastasis in ccRCC. Our findings revealed heterogeneity in the infiltrating NK cells of kidney cancer, which can serve as a reference for the mechanisms underlying metastasis in kidney cancer.
Hamiltonian and Lagrangian BRST Quantization in Riemann Manifold II
Authors: Pandey Vipul Kumar
Published: August 2022

We have previously developed the BRST quantization on the hypersurface

V

N
−
1

embedded in

N

-dimensional Euclidean space

R

N

in both Hamiltonian and Lagrangian formulation. We generalize the formalism in the case of

L

-dimensional manifold

V

L

embedded in

R

N

with

1
≤
L
<
N

. The result is essentially the same as the previous one. We have also verified the results obtained here using a simple example of particle motion on a torus knot.
Morphologic Characterization of Strongylida Larvae from Human and Swine Coprocultures in Rural Communities in the State of Piauí, Northeastern Brazil
Authors: Bacelar Polyanna A. A. , Monteiro Kerla J. L. , dos Santos Jéssica P. , Silva Denilson de A. e , Leal Daniella N. , Almeida Mayron M. , Evangelista Brenda B. C. , Oliveira-Neto Francisco M. de , Carvalho-Costa Filipe A.
Published: August 2022

Some helminth species belonging to the order Strongylida are parasites of the digestive tract of vertebrates, including man and domestic animals. In humans, infections with Oesophagostomum spp. and Trichostrongylus spp. may be misdiagnosed as hookworm disease on parasitological stool examination, mainly in regions where these infections are coendemic, since eggs released in hosts’ feces are morphologically similar. This study presents the morphologic characterization of Strongylida larvae recovered from humans and pigs living in close proximity, exploring putative zoonotic cycles. One hundred three humans and 27 pigs were included in low-resource rural communities in the state of Piauí, northeastern Brazil. Strongylida eggs were present in 12 (11.7%) humans and 23 (85.2%) pigs through conventional parasitological examination. Strongylida-positive fecal samples were submitted to coprocultures using the Harada–Mori technique. All 22 larvae obtained from human feces were classified as hookworms (Ancylostomatidae). From a total of 37 larvae obtained from swine, 23 (62.3%) were classified as Oesophagostomum, 6 (16.2%) were Hyostrongylus, and 4 (10.8%) were Trichostrongylus. Four larvae (10.8%) obtained from pigs were classified as Strongyloides. The morphological study of filariform larvae obtained in coprocultures is a useful and inexpensive tool in the screening of intestinal helminthiasis in a One Health approach.
Optimal Neural Network for Predicting Solar Energy in Sensor Units Based on a Cascaded Input/Structure Direct Optimization
Authors: Al-Omary Murad , Aljarrah Rafat , Albatayneh Aiman , Alzaareer Khaled , Malkawi Ahmad , Jaradat Hussamaldeen
Published: August 2022

The sensor units are considered one of the significant technologies that use solar energy as an assistant power source to the batteries. Despite their advantages over the other forms of renewables, solar energy has an intermittent nature which negatively affects the operation of these units. Reaching an effective operation ensuring sustainable units requires a prior prediction of the harvested solar energy. Artificial neural networks (ANNs) appeared recently as a promising prediction approach with those units. This is attributed to the high accuracy compared to the conventional stochastic and statistical ones. Till now, the optimal neural network that fits with sensor units has not been precisely determined. This paper is aimed at finding the optimal neural network that would be applied with solar-supplied sensor units. This is performed by applying a cascaded input/structure direct optimization. The optimization process handles the aspects of accuracy, computational efforts, and complexity. It mainly identifies the type and number of parameters that would be utilized as inputs in the first stage. Then, it optimizes the structure by addressing the number of hidden layers and hidden neurons. The corresponding analysis has been implemented for premeasured real data over five-year time period. The results showed that the optimal neural network can be achieved by using three input parameters which are the air temperature (AT), the relative humidity (RH), and the zenith angle (

θ

z

). For the structure, it has been concluded that the proposed optimal ANN should have two hidden layers with ten neurons in each of them. Lastly, the proposed optimal ANN was verified against the associated prediction error which is minimized to less than 2%.
Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model
Authors: Fakieh Bahjat , Ragab Mahmoud
Published: August 2022

The outbreak of the COVID-19 pandemic necessitates prompt identification of affected persons to restrict the spread of the COVID-19 epidemic. Radiological imaging such as computed tomography (CT) and chest X-rays (CXR) is considered an effective way to diagnose COVID-19. However, it needs an expert’s knowledge and consumes more time. At the same time, artificial intelligence (AI) and medical images are discovered to be helpful in effectively assessing and providing treatment for COVID-19 infected patients. In particular, deep learning (DL) models act as a vital part of a high-performance classification model for COVID-19 recognition on CXR images. This study develops a heap-based optimization with the deep transfer learning model for detection and classification (HBODTL-DC) of COVID-19. The proposed HBODTL-DC system majorly focuses on the identification of COVID-19 on CXR images. To do so, the presented HBODTL-DC model initially exploits the Gabor filtering (GF) technique to enhance the image quality. In addition, the HBO algorithm with a neural architecture search network (NasNet) large model is employed for the extraction of feature vectors. Finally, Elman Neural Network (ENN) model gets the feature vectors as input and categorizes the CXR images into distinct classes. The experimental validation of the HBODTL-DC model takes place on the benchmark CXR image dataset from the Kaggle repository, and the outcomes are checked in numerous dimensions. The experimental outcomes stated the supremacy of the HBODTL-DC model over recent approaches with a maximum accuracy of 0.9992.
Comprehensive Analysis of Gene Signatures of m6ARNA Methylation Regulators in Lung Adenocarcinoma and Development of a Risk Scoring System
Authors: Gao Chundi , Li Huayao , Ma Wenzhe , Zhang Qiming , Liu Cun , Liu Lijuan , Zhuang Jing , Sun Changgang
Published: August 2022

The recent application of targeted immunotherapy has greatly improved the clinical outcomes of patients with lung adenocarcinoma (LUAD), but drug resistance continues to emerge, and to evaluate and to improve patient prognosis are arduous. The diagnostic and prognostic value of N6-methyladenosine (M6A) in LUAD has attracted increasing attention. We systematically studied correlations among important M6A methylation regulators, tumor mutational burden (TMB), and immune infiltration in clinical and sequencing data from the LUAD cohort of the cancer genome map (TCGA). The molecular subtype clusters 1 and 2 were identified by the consensus clustering of 16 M6A regulatory factors. Clinical prognosis, M6A regulatory factor expression, TMB, pathway enrichment, and immune cell infiltration significantly differed between clusters 1 and 2. Compared with other clinical traits, a prognostic risk score system constructed using the M6A regulatory factors HNRNPA2B1 and HNRNPC can serve as an independent prognostic method for LUAD, with higher predictive sensitivity and specificity. Risk scores were significantly higher for cluster 2 than 1, which was consistent with the trend towards a better prognosis in cluster 1. Overall, our findings revealed an important role of M6A methylation regulators in LUAD, and our risk scoring system involving these regulators might help to screen groups at high risk for LUAD and provide important theoretical bioinformatic support for evaluating the prognosis of such patients.
On the Reaction of 2-Alkanoylnaphthohydroquinones with Hydroxylamine: Access to Cytotoxic 2-(Hydroxyamino)-1,4-naphthoquinone and Their 3-(Hydroxyimino)alkyl Analogous
Authors: Valderrama Jaime A. , Pérez-Herrera Andrea , Muccioli Giulio G. , Venegas-Casanova Edmundo A. , Jara-Aguilar Rafael , Calderon Pedro Buc , Benites Julio
Published: August 2022

Oximes are known for their anti-inflammatory, antimicrobial, antioxidant, and anticancer activities. Frequently, modification of biologically active carbonyl compounds into oximes leads to increased activity. The present study reports the reactivity of 2-alkanoylnaphthohydroquinones against hydroxylamine under aerial conditions. Results show that, depending on the structure of the hydroquinones, the reaction proceeds through two different chemical pathways to produce 2-(hydroxyamino)-1,4-naphthoquinone and their C-3 (hydroxyimino)alkyl derivatives. Both the formation of the quinoid compounds under aerial oxidation and C-C cleavage reactions of hemiaminal intermediates are discussed. In vitro screening of the substituted 1,4-naphthoquinones on a panel of cancer cells reveals moderate cytotoxic activities. Compound 19, 2-(hydroxyamino)-1,4-naphthoquinone, stands out by its anticancer potency against prostate cancer cells as shown by the lowest IC50 value (8.08 μM) and the best selectivity index (3.90).
Distance to Health Care Facilities, Lifestyle Risk Factors, and Stage at Diagnosis in relation to Geographic Pattern of Esophageal Cancer in Tanzania, 2006–2016
Authors: Watkins Richard , Soliman Ghada A. , Mwaiselage Julius , Kahesa Crispin , Msami Khadija , Wilson Mark L.
Published: August 2022

Esophageal cancer is an aggressive, often deadly disease globally that represents a significant health problem in Tanzania. The WHO reported 604,100 new esophageal cancer cases worldwide during 2020 and 544,076 deaths (Sung, 2021; World Health Organization, 2020). In Eastern Africa, 16,137 cases and 15,188 deaths were related to this disease in 2020. Esophageal cancer is associated with various etiologic risk factors, and access to the disease treatment is a major barrier to survival. This study examined associations between the prevalence of four geographically stratified, population-level, etiologic risk factors (tobacco use, unprotected water use, solid fuel source use, and poverty), as well as two access-to-care predictors (persons per hospital and distance from residence to where esophageal cancer treatment occurs). Regional- and coarser-scale zonal incidence rates were calculated for 2006 through 2016 and evaluated for geographic differences in relation to risk factors and access to care predictors using Poisson regression. Differences in the geographic distribution of esophageal cancer were observed. Distance from the region of residence to the treatment center (Ocean Road Cancer Institute) was statistically associated with the geographic pattern of esophageal cancer incidence. Further research into etiologic risk factors, dietary practices, and nutrition is needed to better understand the associations with esophageal cancer in Tanzania and other parts of Eastern Africa.
Parameter Identification of 3D Elastic-Plastic Model for Tunnel Engineering Based on Improved Genetic Algorithm
Authors: Dong Xiaoma , Chen Lifei
Published: August 2022

In order to overcome the deficiencies of the existing intelligent displacement back analysis methods, the authors propose a parameter identification method for the 3D elastic-plastic model of tunnel engineering based on an improved genetic algorithm. An improved SVR algorithm is introduced, which solves this problem by transforming the multidimensional output variable regression into a multilayer standard one-dimensional output variable regression; combined with the decimal-coded genetic algorithm, an improved GA-SVR algorithm is formed, and genetic algorithm is used to search for optimal SVR model parameters, in order to establish the optimal nonlinear mapping relationship between the parameters to be identified and the displacement. The genetic algorithm is used to carry out the optimal identification of the parameters to be identified. In order to compare the effect of this improved GA-SVR algorithm, the genetic algorithm is combined with the BP neural network to form the GA-BP algorithm and compile the corresponding calculation program. The two algorithms are applied to the intelligent identification of the parameters of the 3D elastic-plastic model of the same tunnel engineering. The experimental results show that the maximum relative error of the 6 parameters to be identified is 18.51%, only 2 are over 15% and 14 are within 10%, and the average relative error of the 6 parameters is only 10.32%, the minimum is 2.63%; for the GA-BP algorithm, the maximum relative error of identification is 22.73%, 4 are more than 15% and 9 are within 10%, and the average relative error of 6 parameters’ identification is up to 13.91%, and the minimum is 4.64%. The improved GA-SVR algorithm can achieve higher identification accuracy and better calculation efficiency than the GA-BP algorithm and can be used in the identification of similar geotechnical engineering parameters.
Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China
Authors: Khan Muhammad Kaleem , Zahid R. M. Ammar , Shahzad Khuram , Hussain Muhammad Jameel , Kitendo Mbwana Mohamed
Published: August 2022

The current study analyzed whether the enhancement in managerial ability accelerates the environmental, social, and economic sustainability practices or not. Using panel data methodology on Chinese listed firms data from 2010 to 2019, we report that CEOs’ managerial ability impacts the overall (environmental, social, and economic) sustainability practices of the firms positively. Moreover, we find that social sustainability and economic sustainability also increase with the increase of the CEO’s managerial ability in the firm. The results remain robust after several alternative empirical tests. The findings justify the relationship between management skills and sustainability and demonstrate how each one of the sustainability pillars is affected individually. The support for sustainability practices that can be achieved through the communication of management skills is an essential conclusion for practitioners. Findings establish the link between CEO’s managerial ability and environmental, social, and economic sustainability performance by taking insights from upper echelon theory.
[Retracted] Path Realization and Analysis of Synergy between Ecological Environment Development and Innovative Entrepreneurship Education
Authors: Peng Zikang
Published: August 2022

In the context of implementing an innovation‐oriented development strategy in China, innovation and entrepreneurship education in colleges and universities has increasingly become the focus of government and society. Entrepreneurship education is a complex ecosystem, which includes the collaboration among universities, government, and enterprises as well as the effective integration of educational resources inside and outside the university. How to establish a new type of government, universities, and enterprises to jointly cultivate innovative talents is a major issue that universities in China urgently need to solve at present. This study tries to provide some useful insights for innovation and entrepreneurship education in China’s colleges and universities, starting from the development of the ecosystem and the cooperation model in the teaching of innovation and entrepreneurship education.
Modeling and Mathematical Analysis of the Dynamics of HPV in Cervical Epithelial Cells: Transient, Acute, Latency, and Chronic Infections
Authors: Sierra-Rojas Juan Carlos , Reyes-Carreto Ramón , Vargas-De-León Cruz , Camacho Jorge Fernando
Published: August 2022

The aim of this paper is to model the dynamics of the human papillomavirus (HPV) in cervical epithelial cells. We developed a mathematical model of the epithelial cellular dynamics of the stratified epithelium of three (basale, intermedium, and corneum) stratums that is based on three ordinary differential equations. We determine the biological condition for the existence of the epithelial cell homeostasis equilibrium, and we obtain the necessary and sufficient conditions for its global stability using the method of Lyapunov functions and a theorem on limiting systems. We have also developed a mathematical model based on seven ordinary differential equations that describes the dynamics of HPV infection. We calculated the basic reproductive number (R0) of the infection using the next-generation operator method. We determine the existence and the local stability of the equilibrium point of the cellular homeostasis of the epithelium. We then give a sufficient condition for the global asymptotic stability of the epithelial cell homeostasis equilibrium using the Lyapunov function method. We proved that this equilibrium point is nonhyperbolic whenR0=1and that in this case, the system presents a forward bifurcation, which shows the existence of an infected equilibrium point whenR0>1. We also study the solutions numerically (i.e., viral kinetic in silico) whenR0>1. Finally, local sensitivity index was calculated to assess the influence of different parameters on basic reproductive number. Our model reproduces the transient, acute, latent, and chronic infections that have been reported in studies of the natural history of HPV.
Clinical Significance of EZH2 in Acute Myeloid Leukemia
Authors: Jiao Weiyun , Liu Yuanyuan , Bao Yangyi
Published: August 2022

In this paper, we have focused on the investigation of the expression level of the enhancer of zeste homolog 2 (EZH2) gene in bone marrow mononuclear cells of acute myeloid leukemia (AML) patients and analyze the relationship between EZH2 gene expression and EMI. The expression of EZH2mRNA in bone marrow mononuclear cells of 26 patients with incipient AML was detected by qRT-PCR, and the relationship between EZH2mRNA expression and clinical characteristics was analyzed. EZH2 mRNA expression was increased in 26 AML patients. EZH2 gene expression in male patients was significantly higher than that in female patients. The expression of EZH2 in the group with extramedullary infiltration (EMI) was significantly higher than that in the group without EMI. The patients were divided into different groups according to the chromosomal karyotype and prognosis. Statistical analysis showed that the expression level of the medium-risk group was significantly higher than that of the low-risk group, while there was no statistical difference in other groups (

P
>
0.05

). The expression of EZH2 gene in AML patients was closely related to EMI, and the expression of EZH2 in AML cells was closely related to cell migration ability. EZH2 is expected to be one of the indicators of disease recurrence.
HBV Infection-Related PDZK1 Plays an Oncogenic Role by Regulating the PI3K-Akt Pathway and Fatty Acid Metabolism and Enhances Immunosuppression
Authors: Chen Xin , Wang Xiaodong , Zhu Feng , Qian Chao , Xu Fanggui , Huang Xin , Zhang Wenjie , Sun Beicheng
Published: August 2022

Background and Aim. Chronic hepatitis B virus (HBV) infection is the leading global cause of hepatocellular carcinoma (HCC). Few studies have been conducted concerning the HBV infection-related genes and their function. Methods. We compared differentially expressed genes (DGEs) in HBV-positive and -negative tumor samples and conducted a Spearman correlation study between the DGEs and HBV titers within The Cancer Genome Atlas (TCGA). Moreover, we validated the results of our in-house samples. Results. In this study, we discovered a series of genes that correlated statistically with HBV infection based on the TCGA database. These genes were related to increased inflammation and some oncogenic signaling pathways via Gene Set Enrichment Analysis (GSEA). PDZK1 is an ideal gene, which mostly relates positively to HBV infection; moreover, it is overexpressed in human HCC, especially in those HBV-infected HCCs. After analyzing the TCGA data and performing a verification study using our own samples, PDZK1 expression was investigated to be significantly associated with PI3K-Akt signaling and fatty acid metabolism. Further, single-sample GSEA analysis of tumor immune cell infiltration gene sets revealed that high PDZK1expression in HCC tissues was significantly associated with increased tumor-associated macrophages (TAMs) and regulatory T cells(Tregs). Conclusions. PDZK1 is an HBV infection-related gene, which plays oncogenic roles, possibly due to enhancing PI3K-Akt, fatty acid usage in tumor cells and TAMs, and Treg-induced immunosuppression.
Association between Periodontitis and Pulp Calcifications: Radiological Study
Authors: Nissrin Bassim , Basma Rezki , Majid Sakout
Published: August 2022

Objective. The presence of intrapulpal calcifications is one of the effects reported as a consequence of periodontal pathology. Although the impact of the pulp pathology on the periodontium is obvious, the contrary remains unclear and controversial. This study was conducted in order to better understand this fact and establish a potential association between periodontitis and intrapulpal calcifications and then to determine the factors associated with their occurrence. Materials and Methods. To investigate the issue, a retrospective radiological study using periapical preoperative radiographics assessed 332 teeth taken from the records of 79 patients who received treatment for periodontitis. In the second part of the study, 81 of the sample with intact dental crowns presenting an attachment loss were compared to their contralateral with intact dental crowns without any attachment loss. The study of the association between periodontitis and intrapulpal calcifications and the factors associated with their occurrence was performed by the Chi squared and Fisher’s exact tests. The significance level was set at 0.05. Results. The results indicated that 251 (75.6%) teeth had an attachment loss while 102 (30.7%) had intrapulpal calcification. Among the 206 (62%) teeth with intact crown, only 6 (1.8%) showed calcification in the pulp cavity and 20 (6%) showed calcification in the root canals, with a statistically significant difference (p<0.005) compared to teeth with restorations and caries. For the 32 (19.7%) teeth with coronary calcification, 18 (22.2%) presented an attachment loss versus 14 (17.2%) without attachment loss; the difference was not statistically significant (p=0.6). Similarly, only 13 (16%) of a total of 22 (13.5%) teeth with root canal calcification had attachment loss versus 9 (11.1%) without attachment loss. This difference was not statistically significant (p=0.5). Conclusion. This radiographic study revealed no association between the presence of periodontitis and the occurrence of intrapulpal calcifications. Although intrapulpal calcifications were present in some teeth with loss of attachment, they were not necessarily the consequence of periodontal disease.
Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology
Authors: Hu Juan , Dong Fenghui
Published: August 2022

The finite element method divides the existing solid structure into a finite number of elements. It integrates and analyzes the divided elements according to preset criteria, and then solves the equilibrium equation of the overall structure according to the corresponding boundary conditions. The problem is analyzed through a finite element model. A large amount of data from the experiment are derived, and then data mining technique is used to find out the data that are useful for the experiment. The purpose of this paper is to test bridge engineering through data mining technology, and then simulate different fiber-reinforced concrete models through finite element method. In this paper, three kinds of nanofibers, carbon fiber (CFRP), glass fiber (GFRP), and aramid fiber (AFRP) are used to make concrete bridges. Loading experiments are also carried out with different degrees of load on the bridge and 100 experiments on the error interval. The experimental results show that the displacement is proportional to the load to a certain extent. The carbon fiber concrete has a stronger positive correlation than the other two materials. Its finite element simulation experimental data have 78% error difference between 0 and 10, while the other two are around 40%.
Calculation Model of Regional Economic Growth Efficiency by Intelligently Optimized Interunit Layout
Authors: Song Xiufeng , Ke Jingying , Shen Huayan
Published: August 2022

With the development of the economy, especially since the reform and opening up, the actual conditions that China’s economic development faces have also changed, and the development goals have also been adjusted accordingly. However, since the reform and opening up, China’s economy has still largely relied on the extended reproduction of the extension type. It basically develops along a high-input, low-efficiency path. The effectiveness of regional economic development has always been one of the most important debates in economics, and it has attracted great attention in different countries and regions around the world. So far, people have conducted a lot of theoretical and practical research on the effectiveness of regional development and put forward many practical countermeasures. However, it has achieved little in practice, and the original form of high growth and low efficiency has not been effectively reversed. In this paper, economic development is divided into two parts. The first part consists of the impact of changes in the quantity of factors of production on economic growth and the impact of the efficiency of economic growth on the entire economy. The second part consists of the annual average efficiency of economic growth. The average annual contribution of various production factors to economic growth and the economic growth efficiency of changes in the allocation of capital industries were 6.21%, 5.02%, 4.05%, 3.9%, and 3.3%, respectively in the past five years.
A Protumorigenic mDia2–MIRO1 Axis Controls Mitochondrial Positioning and Function in Cancer-Associated Fibroblasts
Authors: Cangkrama Michael , Liu Huan , Whipman James , Zubair Maria , Matsushita Mai , Di Filippo Michela , Kopf Manfred , Innocenti Metello , Werner Sabine
Published: August 2022

Cancer-associated fibroblasts (CAF) are key regulators of tumorigenesis. Further insights into the tumor-promoting mechanisms of action of CAFs could help improve cancer diagnosis and treatment. Here we show that the formin mDia2 regulates the positioning and function of mitochondria in dermal fibroblasts, thereby promoting a protumorigenic CAF phenotype. Mechanistically, mDia2 stabilized the mitochondrial trafficking protein MIRO1. Loss of mDia2 or MIRO1 in fibroblasts or CAFs reduced the presence of mitochondria and ATP levels near the plasma membrane and at CAF-tumor cell contact sites, caused metabolic alterations characteristic of mitochondrial dysfunction, and suppressed the secretion of protumorigenic proteins. In mouse models of squamous carcinogenesis, genetic or pharmacologic inhibition of mDia2, MIRO1, or their common upstream regulator activin A inhibited tumor formation. Consistently, co-upregulation of mDia2 and MIRO1 in the stroma of various human cancers negatively correlated with survival. This work unveils a key role of mitochondria in the protumorigenic CAF phenotype and identifies an activin A–mDia2–MIRO1 signaling axis in CAFs with diagnostic and therapeutic potential.

Significance:

Inhibition of mDia2/MIRO1-mediated mitochondrial positioning in CAFs induces mitochondrial dysfunction and suppresses tumor growth, revealing a promising therapeutic strategy to target tumor–stroma cross-talk.
High-Throughput Next-Generation Sequencing of the Kidd Blood Group: Unexpected Antigen Expression Properties of Four Alleles and Detection of Novel Variants
Authors: Vorholt Stephanie M. , Lenz Veronika , Just Burkhard , Enczmann Jürgen , Fischer Johannes C. , Horn Peter A. , Zeiler Thomas A. , Balz Vera
Published: August 2022

Background: The blood supply for patients with foreign ethnic backgrounds can be challenging, as they often have blood group and HPA patterns that differ from the variants prevalent in the German population. In addition, hemoglobinopathies requiring regular blood transfusion may be more common in such populations. High-throughput genotyping tests can facilitate the identification of the most compatible blood products, thereby reducing the risk of transfusion reactions. The present study reports the results of a molecular study for the Kidd (JK) blood group. Allele frequencies and antigen prevalence data are presented for >8,000 individuals of various origins. Material and Methods: More than 8,000 blood donors were genotyped for 22 blood group systems and 5 HPA genes using an amplicon-based next-generation sequencing (NGS) approach. As part of the test system, we focused on the JK system in more detail. Double-ARMS PCR analysis was performed for the haplotype phasing of the JK1/JK2 and two more common synonymous polymorphisms. We performed transcript analysis to detect potential alternative splice products. For a subset of samples, a comparison between serotype and red cell genotype was conducted. Allele frequencies were determined for geographically different panels of individuals. Results: We successfully genotyped the JK blood group for 99.6% of the samples. Haplotype phasing revealed 96 different alleles. For several alleles that carry one of the synonymous SNVs c.588A>G and c.810G>A, we could not confirm the reported JK phenotypes. We found a higher frequency of JK:1 alleles for all populations except Iraqis. JK*01W.01 alleles were more common in the Asian groups and sub-Saharan Africans. A variant of the allele JK*02N.01 was present exclusively in Southeast Asians. Conclusion: Genotyping for JK antigens with a targeted NGS assay can easily be performed in routine. The interpretation that c.588A>G leads to a weak phenotype and c.810G>A to a null phenotype is questionable. IDs as well as the descriptions of alleles carrying these SNVs should be revised in the ISBT JK table.
Neural Embedding Allocation: Distributed Representations of Topic Models
Authors: Keya Kamrun Naher , Papanikolaou Yannis , Foulds James R.
Published: August 2022

We propose a method that uses neural embeddings to improve the performance of any given LDA-style topic model. Our method, called neural embedding allocation (NEA), deconstructs topic models (LDA or otherwise) into interpretable vector-space embeddings of words, topics, documents, authors, and so on, by learning neural embeddings to mimic the topic model. We demonstrate that NEA improves coherence scores of the original topic model by smoothing out the noisy topics when the number of topics is large. Furthermore, we show NEA’s effectiveness and generality in deconstructing and smoothing LDA, author-topic models, and the recent mixed membership skip-gram topic model and achieve better performance with the embeddings compared to several state-of-the-art models.
This Woman Is a Father? The Albricani on a Puzzle about Relations
Authors: Hansen Heine
Published: August 2022

Medieval philosophers had a predilection for using the correlative pair father and son as an illustrative example in their discussions of relations. The use of this example has sometimes led to charges of confusion on the grounds that fatherhood and sonship are not proper converses. The present article shows how a group of twelfth-century philosophers from the milieu around the logician Alberic of Paris handled the problems arising from the use of this illustrative example which they had inherited from their ancient and late-ancient predecessors.
COVID-19 Experiences of Stage Performers
Authors: Ertan Cihan , Sarialioğlu Özge
Published: August 2022

This article focuses on the experiences of artistic performers in Turkey from a primarily interactionist theoretical stance and aims to explore how they have been affected by the COVID-19 crisis. The lockdown policies implemented in Turkey have had dire consequences for these performers, exposing them to a new social position of insecurity and uncertainty. They have suffered not only from a lack of economic resources but also of the social interaction that in prior circumstances provided them with the grounds upon which they construct and present their social self. The findings of the study show that the closures of performance spaces fractured the day-to-day routines that would normally provide them with a secure social self since they lacked the ground (the physical stage) through which they have physical interaction with others (their audiences). The narratives in the study demonstrate that not being able to be on-stage endangered the process of the social construction of the self as performers and that they sought new ways of reconstituting the performer-audience interaction in order to ease the negative effects of the pandemic conditions and to secure their selves.
Visitation and Awakening: Cross-Cultural and Functional Parallelisms between the Zoroastrian Srōš and Christian St. Sergius
Authors: Terribili Gianfilippo
Published: August 2022

Similarities between the two celestial entities, the Zoroastrian Srōš (or Sraoša) and the Christian St. Sergius, have occasionally been mentioned in studies on late-antique and medieval Iran. Comparing the Zoroastrian and Syriac Christian traditions, the study will deal with evidence describing a phenomenological complex that includes the manifestation of celestial entities through a revelatory dream or vision and the consequent awakening of the individual consciousness. The parallelisms will be viewed in the perspective of historical and cultural dynamics that characterized the socio-political horizon of the late Sasanian Empire, especially during the reign of Khosrow II Parviz (Husraw II Parvēz). The heterogeneous society of the frontier zone between Rome and Iran determined the development of trans-cultural elements fostering dialogue among different components of the population. This phenomenon, along with the increasing integration of the Christian community in late Sasanian society, favored processes of assimilation and hybridization of narrative motifs connected to the representation of salvific and protective figures extremely popular at that time.
Linguistic and Religious Continuity in Outer Iran
Authors: Ognibene Paolo
Published: August 2022

Classical sources give evidence for the presence of Scythians, Sarmatians, and Alans at different times in the region north of the Black Sea. While not all scholars agree with Abaev’s idea of “strict continuity” in the languages of these peoples, none deny the existence of at least some form of linguistic continuity between them. The aim of this article is to investigate whether we can suppose another form of continuity relating to their religious systems. While we know that Zoroastrianism had not spread to these peoples, can we still find common elements in their religious systems? If so, we can imagine that they resembled one another not only in terms of language and way of life, but also in terms of religious belief.
Ray and Pahlaw in the Context of Sasanian Iran
Authors: Cereti Carlo Giovanni , Mousavi Nia Mehdi , Neʿmati Mohammad Reza
Published: August 2022

Ray—located near present-day Tehran—is among the most important historical areas in Iran and the plains to the south of Tehran have always been densely inhabited and intensely cultivated thanks to the waters coming from Mount Tochal and the Alborz Mountains. Historical records and archeological data for the early history of the city in the Median, Achæmenid, Seleucid, and even Parthian periods are not exhaustive. In the present study, an attempt is made to bring together primary and secondary sources to define better the role that the province of Ray played during the Sasanian period, during which it was host, among others, to a huge military camp crucial to manning the northern and eastern frontier. Combined archeological and historical evidence shows that Ray has played an important and pivotal role in the history of Iran from the first years of the formation of the Sasanian Empire to the very last years of the empire, leaving a lasting memory in the Islamic literary tradition.
Some Observations on Ahriman and his Miscreation in the Bundahišn
Authors: Agostini Domenico
Published: August 2022

The Bundahišn (Primal Creation) is one of the most important surviving Zoroastrian works in Pahlavi Middle Persian. In this book, the evil spirit Ahriman and his demons play a crucial role in the cosmogonic drama from creation until the end of times, according to the well-known Zoroastrian dualistic system. This article describes the forms and the effects of the onslaught of Ahriman and his evil creatures, and how Zoroastrians explained the nature and the presence of evil and its real influence on the good creation and creatures of Ohrmazd as found in the Bundahišn.
A Princess at Work: Historical Knowledge from Inside the Mughal Court
Authors: Kollatz Anna
Published: August 2022

This contribution considers a group of texts that have already been widely used as sources to reconstruct the history of events and for research into the legitimation and representation of power during the Mughal period. Here, however, the texts are read as figurative elements of an intellectual process. Can intertextual narratological analysis be used to draw conclusions about the intellectual contexts in which these texts originated? This article examines two historiographical texts that emerged in close temporal and spatial proximity to each other. Through a narratological case study, it examines the extent to which approaches to historiography and the representation of human – and especially female – agency are consistent or divergent in the Humāyūnnāma by Gulbadan Bīgum and the Akbarnāma by Abū l-Faḍl, who used the former text as a source for his project.
Noncompliant Learning: Diffracting SpaceTimes, Intra-active Ropes, and a Museum’s Roping into the City through a Curious Child
Authors: Sadownik Alicja R. , Bastiansen Gitte , Gabi Josephine
Published: August 2022

In this article, the authors intra-act with Barad’s (2007) conceptual toolkit to examine noncomplaint learning of a ropemaking activity at The Norwegian Fisheries Museum in Bergen. Barad’s concepts of intra-action and diffraction allow us to perceive the rope as noncompliantly diffracting into the two different SpaceTimes of the 19th and 21st centuries. The former SpaceTime is intra-actively constituted by historical ropemaking craftship and the museum staff, and the latter by the children’s approaching the ropemaking through toys and play. In the overlap of the entanglements of the two SpaceTimes, noncompliant and ‘new areas of curiosity’ (Wertsch 2002, p. 123) unfold and continue the rope’s diffraction into the city. By following the intra-active community of Ida and the rope, the authors map entanglements of more-than-human worldings and conclude with a call for more museal diffractions that can (intra-)activate the museum’s relational capacities in the ecology of the city.
Abbreviated Bible Manuscripts in the Cairo Genizah
Authors: Phillips Kim
Published: August 2022

This article offers an overview of the 39 shorthand Bible manuscripts in the Cambridge and Oxford Genizah collections. It describes the various methods of abbreviation found in these manuscripts and discusses the likely functions of the various categories of manuscript.