bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between Degree of Exercise Participation and Active Aging among Older Adults
Authors: Chang Yung-Tzung , Yu Chen-Wei , Chao Cheng-Min , Chen Rueg-Juen
Published: April 2021

Government departments and scholars have focused on promoting health care for older adults in response to population aging and the annual increase in the number of older adults. Old age does not necessarily involve rapid health decline, fragility, or senility. Therefore, active aging among older adults has become a major consideration worldwide. The effect of exercise participation and social support on active aging warrants investigation. This study proposes a conceptual model for understanding the effects of exercise participation and social support on active aging among older adults. Exercise participation, social support, and health literacy were integrated to hypothesize a theoretical model of active aging among older adults. Furthermore, the moderating role of health literacy in the relationship between exercise participation, social support, and active aging was analyzed. Questionnaires were administered to respondents from Northern Taiwan during face-to-face interviews. Of the 1,800 distributed questionnaires, 1,586 completed questionnaires were received (response rate = 88.1%). The data collected were analyzed using structural equation modeling. The results indicated that exercise participation (β = 0.163,

p
=
0.000

), social support (β = 0.384,

p
=
0.000

), and health literacy (β = 0.360,

p
=
0.000

) had significant positive effects on active aging. Health literacy did not moderate the effects of exercise participation and social support on active aging among older adults (β = −0.054,

p
=
0.197

and 0.061,

p
=
0.066

). The current results confirm that social support has a considerable effect on active aging, which could be used as a reference for future proposals targeted at relevant institutions and older adults.
Confidence‐Aware Embedding for Knowledge Graph Entity Typing
Authors: Zhao Yu , Hou Jiayue , Yu Zongjian , Zhang Yun , Li Qing
Published: April 2021

Knowledge graphs (KGs) entity typing aims to predict the potential types to an entity, that is, (entity, entity type = ?). Recently, several embedding models are proposed for KG entity types prediction according to the existing typing information of the (entity, entity type) tuples in KGs. However, most of them unreasonably assume that all existing entity typing instances in KGs are completely correct, which ignore the nonnegligible entity type noises and may lead to potential errors for the downstream tasks. To address this problem, we propose ConfE, a novel confidence‐aware embedding approach for modeling the (entity, entity type) tuples, which takes tuple confidence into consideration for learning better embeddings. Specifically, we learn the embeddings of entities and entity types in separate entity space and entity type space since they are different objects in KGs. We utilize an asymmetric matrix to specify the interaction of their embeddings and incorporate the tuple confidence as well. To make the tuple confidence more universal, we consider only the internal structural information in existing KGs. We evaluate our model on two tasks, including entity type noise detection and entity type prediction. The extensive experimental results in two public benchmark datasets (i.e., FB15kET and YAGO43kET) demonstrate that our proposed model outperforms all baselines on all tasks, which verify the effectiveness of ConfE in learning better embeddings on noisy KGs. The source code and data of this work can be obtained from https://github.com/swufenlp/ConfE.
Research on Economic Mathematical Analysis and Construction Model of Prefabricated Building Structure Based on Improved Neural Network Algorithm
Authors: Lin Xin
Published: April 2021

In this article, a mathematical analysis model of economics of prefabricated building structure based on improved neural network algorithm is proposed in order to solve the low analysis accuracy in traditional methods. Firstly, by means of analyzing the costs of materials, labor, and equipment, the economic characteristics of the cost of fabricated building structures are determined. Secondly, the single neuron is analyzed and the weight coefficient is adjusted in accordance with the multilayer neural network structure, so as to minimize the construction error of the economic analysis model of the assembled building structure. Meanwhile, the weight vector is obtained, error-weighted square sum is calculated through choosing an adaptive filter and obtained, and the weight vector is updated by the least squares algorithm. Thirdly, the neural network algorithm training and learning process is designed and improved, the dependent variable is selected, the number of input points is determined, and then, the training and learning process of the improved neural network algorithm is completed. Finally, a fitness function is set to measure the authenticity of dataset, which is further defined as a combination of different weights to construct an economic mathematical analysis model. The experimental results indicate that the analysis results of this method can reach an accuracy up to 96%, so it has a broader application prospect in low-rise buildings.
The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury
Authors: Zhao Zhi-jie , Wei Dong-po , Zheng Rui-zhe , Peng Tinghua , Xiao Xiang , Li Fu-sheng
Published: April 2021

Traumatic brain injury (TBI) is a major cause of morbidity and mortality, both in adult and pediatric populations. However, the dynamic changes of gene expression profiles following TBI have not been fully understood. In this study, we identified the differentially expressed genes (DEGs) following TBI. Remarkably, Serpina3n, Asf1b, Folr1, LOC100366216, Clec12a, Olr1, Timp1, Hspb1, Lcn2, and Spp1 were identified as the top 10 with the highest statistical significance. The weighted gene coexpression analysis (WGCNA) identified 12 functional modules from the DEGs, which showed specific expression patterns over time and were characterized by enrichment analysis. Specifically, the black and turquoise modules were mainly involved in energy metabolism and protein translation. The green yellow and yellow modules including Hmox1, Mif, Anxa2, Timp1, Gfap, Cd9, Gja1, Pdpn, and Gpx1 were related to response to wounding, indicating that expression of these genes such as Hmox1, Anxa2, and Timp1 could protect the brains from brain injury. The green yellow module highlighted genes involved in microglial cell activation such as Tyrobp, Cx3cr1, Grn, Trem2, C1qa, and Aif1, suggesting that these genes were responsible for the inflammatory response caused by TBI. The upregulation of these genes has been validated in an independent dataset. These results indicated that the key genes in microglia cell activation may serve as a promising therapeutic target for TBI. In summary, the present study provided a full view of the dynamic gene expression changes following TBI.
Association between Periodontal Disease and Comorbidities in Saudi’s Eastern Province
Authors: Madi Marwa , Abuohashish Hatem M. , Attia Dina , AlQahtani Norah , Alrayes Nabras , Pavlic Verica , Bhat Subraya G.
Published: April 2021

The incidence of periodontal diseases is associated with multiple comorbidities that influence a patient’s treatment planning. This study evaluates the relation between periodontal disease and multiple comorbidities reported in the Saudi population from the Eastern province. This study was conducted on 190 patients, who visited the periodontology clinics at Imam Abdulrahman Bin Faisal University, Saudi Arabia. Demographic data, smoking habits, past medical and dental histories, blood pressure, random blood glucose, and recent haemoglobin A1c were recorded. A comprehensive periodontal examination included the number of missing teeth, pocket depth (PD), clinical attachment level (CAL), bleeding on probing (BOP), and mobility of all teeth except third molars. Radiographic bone loss was measured on standardized full‐mouth periapical radiographs. Multivariable regression models were calculated aiming to see the association between different comorbidities and alveolar bone loss with confounders controlled. Out of 190 periodontitis patients, 56 (29.5%) were males and 134 (70.5%) were females. More than half of the patients (60%) were between 26 and 50 years, 30% of them had diabetes, and 18% were smokers. The risk of alveolar bone loss was higher in persons who had diabetes and those who had both diabetes and coronary heart disease than those who did not, although the association was not statistically significant (B = 1.26, 95%CI = −0.30, 2.82, and B = 2.86, 95%CI = −1.25, 6.96, respectively). The risk of alveolar bone loss was significantly higher among persons with diabetes and hypertension (B = 2.82 and 95%CI = 0.89, 4.75). Collectively, the risk of alveolar bone loss in periodontitis patients increases with diabetes in the presence of other comorbidities regardless of smoking or gender.
Plasma-Derived Exosomal microRNA-130a Serves as a Noninvasive Biomarker for Diagnosis and Prognosis of Oral Squamous Cell Carcinoma
Authors: He Tao , Guo Xiangyu , Li Xue , Liao Chunjuan , Wang Xiaorong , He Kun
Published: April 2021

Exosomal microRNAs (miRNAs) are considered as potential stable biomarkers in many types of human cancer, but investigations of plasma-derived exosomal miRNAs in oral squamous cell carcinoma (OSCC) are still lacking. The aim of this study is to evaluate the diagnostic and prognostic values of exosomal miR-130a in OSCC patients. Exosomes were isolated from plasma samples which were collected from 184 OSCC patients before surgery and 196 healthy individuals. Primary OSCC and paired adjacent noncancerous tissues were also obtained from 47 OSCC patients. The expression levels of miR-130a were analyzed by quantitative real-time PCR (qRT-PCR). Our results showed that the expression levels of exosomal miR-130a were significantly higher in OSCC patients than those of the healthy controls (

p
<
0.0001

). Also, the expression of miR-130a was also significantly upregulated in OSCC tissues compared with paired adjacent noncancerous tissues (

p
<
0.0001

). A significant positive correlation was found between exosomal miR-130a and tissue miR-130a levels. Receiver operating characteristic (ROC) analyses yielded an AUC value of 0.812 in discriminating OSCC patients from healthy controls. Furthermore, high levels of exosomal miR-130a were associated with the late T-stage (

p
=
0.024

), advanced TNM stage (

p
=
0.003

), and poorly differentiated OSCC (

p
=
0.013

). Patients with high exosomal miR-130a expression had significantly worse 3-year overall survival (OS) and recurrence-free survival (RFS). Multivariate analysis indicated that exosomal miR-130a was an independent prognostic factor for OS (

p
=
0.001

) and RFS (

p
=
0.003

). Our results suggest that exosomal miR-130a may serve as a promising diagnostic and prognostic biomarker for OSCC patients.
Neural Network‐Based Intelligent Computing Algorithms for Discrete‐Time Optimal Control with the Application to a Cyberphysical Power System
Authors: Jiang Feng , Zhang Kai , Hu Jinjing , Wang Shunjiang
Published: April 2021

Adaptive dynamic programming (ADP), which belongs to the field of computational intelligence, is a powerful tool to address optimal control problems. To overcome the bottleneck of solving Hamilton–Jacobi–Bellman equations, several state‐of‐the‐art ADP approaches are reviewed in this paper. First, two model‐based offline iterative ADP methods including policy iteration (PI) and value iteration (VI) are given, and their respective advantages and shortcomings are discussed in detail. Second, the multistep heuristic dynamic programming (HDP) method is introduced, which avoids the requirement of initial admissible control and achieves fast convergence. This method successfully utilizes the advantages of PI and VI and overcomes their drawbacks at the same time. Finally, the discrete‐time optimal control strategy is tested on a power system.
Iron Status in Newly Diagnosed β‐Thalassemia Major: High Rate of Iron Status due to Erythropoiesis Drive
Authors: Susanah Susi , Rakhmilla Lulu Eva , Ghozali Mohammad , Trisaputra Jessica Oktavianus , Moestopo Octawyana , Sribudiani Yunia , Idjradinata Ponpon S. , Maskoen Ani Melani
Published: April 2021

Background. Iron overload in severe β‐thalassemia is a serious complication that occurs during the course of the disease. Information about the iron status during initial illness with β‐thalassemia major seemed to be limited. This study is aimed at analyzing iron status, serum hepcidin, and growth differentiation factor 15 (GDF15) levels in newly diagnosed β‐thalassemia major. Methods. A case‐control study was performed at Dr. Hasan Sadikin General Hospital, which included 41 children with newly diagnosed β‐thalassemia major. Age‐ and sex‐matched controls were enrolled. The subjects had no blood transfusion, had normal liver function, and had no sign of inflammation. The groups were compared in terms of the levels of hemoglobin (Hb), serum ferritin (SF), transferrin saturation (TS), serum hepcidin, and GDF15 as iron homeostasis parameters. Results. Of the 41 newly diagnosed β‐thalassemia major patients, those who were less than 24 months old had significantly lower median Hb levels than controls (5.0 vs. 11.7 g/dL, P < 0.001). The median SF and TS levels were significantly higher than those in controls (315.0 vs. 29.0 ng/mL, P < 0.001; 70.6 vs. 16.5%, P < 0.001), and median hepcidin was at the normal limit, but the value was higher in patients (251.0 vs. 123.1 ng/mL, P < 0.001). The median GDF15 level was significantly higher in patients (2,095.3 vs. 342.4 pg/mL, P < 0.001). There was a positive correlation between SF‐TS, SF‐hepcidin, TS‐hepcidin, SF‐GDF15, TS‐GDF15, and hepcidin‐GDF15 (P < 0.001). Conclusion. In newly diagnosed β‐thalassemia major, an increase in iron status occurred. This may be caused by increased iron absorption due to massive erythropoietic activity, characterized by an increase in GDF15 levels, which does not cause hepcidin suppression. The iron homeostasis response seems to be physiologically indicated by a tendency to increase hepcidin levels.
A Mathematical Model for Solving the Linear Programming Problems Involving Trapezoidal Fuzzy Numbers via Interval Linear Programming Problems
Authors: Kané Ladji , Diawara Daouda , Diabaté Lassina , Konaté Moussa , Kané Souleymane , Bado Hawa
Published: April 2021

We define linear programming problems involving trapezoidal fuzzy numbers (LPTra) as the way of linear programming problems involving interval numbers (LPIn). We will discuss the solution concepts of primal and dual linear programming problems involving trapezoidal fuzzy numbers (LPTra) by converting them into two linear programming problems involving interval numbers (LPIn). By introducing new arithmetic operations between interval numbers and fuzzy numbers, we will check that both primal and dual problems have optimal solutions and the two optimal values are equal. Also, both optimal solutions obey the strong duality theorem and complementary slackness theorem. Furthermore, for illustration, some numerical examples are used to demonstrate the correctness and usefulness of the proposed method. The proposed algorithm is flexible, easy, and reasonable.
Two‐Stage User Identification Based on User Topology Dynamic Community Clustering
Authors: Zhang Jiajing , Yuan Zhenhua , Xu Neng , Chen Jinlan , Wang Juxiang
Published: April 2021

In order to solve the problem of node information loss during user matching in the existing user identification method of fixed community across the social network based on user topological relationship, Two‐Stage User Identification Based on User Topology Dynamic Community Clustering (UIUTDC) algorithm is proposed. Firstly, we perform community clustering on different social networks, calculate the similarity between different network communities, and screen out community pairs with greater similarity. Secondly, two‐way marriage matching is carried out for users between pairs of communities with high similarity. Then, the dynamic community clustering was performed by resetting the different community clustering numbers. Finally, the iteration is repeated until no new matching user pairs are generated, or the set number of iterations is reached. Experiments conducted on real‐world social networks Twitter‐Foursquare datasets demonstrate that compared with the global user matching method and hidden label node method, the average accuracy of the proposed UIUTDC algorithm is improved by 33% and 26.8%, respectively. In the case of only user topology information, the proposed UIUTDC algorithm effectively improves the accuracy of identity recognition in practical applications.
Rituximab Treatment in Acute Disseminated Encephalomyelitis Associated with Salmonella Infection
Authors: Kacmaz Ebru , Bozan Gurkan , Carman Kursat Bora , Kilic Omer , Arslanoglu Mehmet Ozgur , Toprak Ugur , Kavaz Tufan Aslı , Yarar Coskun , Dinleyici Ener Cagri
Published: April 2021

Acute disseminated encephalomyelitis (ADEM) is an inflammatory, demyelinating, and rapidly progressive disorder of the central nervous system. This condition is also known as postinfectious encephalomyelitis, and it is characterized by multifocal lesions in the brain and spinal cord with widespread neurological findings. High doses of intravenous (IV) methylprednisolone, intravenous immunoglobulin (IVIG), and plasma exchange (PLEX) treatments comprise the first-line therapy. There are limited pediatric case reports refractory to standard treatment. Here, we present the case of a 17-year-old girl diagnosed with ADEM associated with Salmonella infection, which was treated with rituximab.
On a Certain Quadratic Character Sums of Ternary Symmetry Polynomials
mod
p
Authors: Meng Yuanyuan
Published: April 2021

In this article, we are using the elementary methods and the properties of the classical Gauss sums to study the calculating problem of a certain quadratic character sums of a ternary symmetry polynomials modulo

p

and obtain some interesting identities for them.
Senescence Osteoblast‐Derived Exosome‐Mediated miR‐139‐5p Regulates Endothelial Cell Functions
Authors: Lu Qing , Qin Hao , Tan Haitao , Wei Cansen , Yang Xinni , He Jinqiao , Liang Weibing , Li Jing
Published: April 2021

The pathogenesis of osteoporosis is considered extremely intricate. Osteoblast differentiation and angiogenesis can greatly affect bone development and formation, given their coupling role in these processes. Exosome‐mediated miRNA regulates cellular senescence, proliferation, and differentiation. However, whether senescent osteoblasts can regulate the senescence of vascular endothelial cell by miRNA through exosomal pathway remains unclear. In this study, senescent osteoblasts could regulate endothelial cell function, promote cell senescence and apoptosis, and decrease cell proliferation via exosomal pathway. miR‐139‐5p showed high expression in senescent osteoblasts and their exosomes. After senescent osteoblast‐derived exosome treatment, miR‐139‐5p was also upregulated in endothelial cells. Furthermore, transfection of miR‐139‐5p mimic promoted the senescence and apoptosis of vascular endothelial cells and inhibited their proliferation and migration, whereas transfection of miR‐139‐5p inhibitor rescued the effect of D‐galactose. Using double luciferase assay, TBX1 was confirmed to be a direct target gene of miR‐139‐5p. In conclusion, senescent osteoblast‐derived exosome‐mediated miR‐139‐5p regulated endothelial cell function via exosomal pathway. Our study revealed the role of osteoblast‐derived exosomes in the bone environment during aging, providing a clue for inventing a new target therapy.
Multideep Feature Fusion Algorithm for Clothing Style Recognition
Authors: Li Yuhua , He Zhiqiang , Wang Sunan , Wang Zicheng , Huang Wanwei
Published: April 2021

In order to improve recognition accuracy of clothing style and fully exploit the advantages of deep learning in extracting deep semantic features from global to local features of clothing images, this paper utilizes the target detection technology and deep residual network (ResNet) to extract comprehensive clothing features, which aims at focusing on clothing itself in the process of feature extraction procedure. Based on that, we propose a multideep feature fusion algorithm for clothing image style recognition. First, we use the improved target detection model to extract the global area, main part, and part areas of clothing, which constitute the image, so as to weaken the influence of the background and other interference factors. Then, the three parts were inputted, respectively, to improve ResNet for feature extraction, which has been trained beforehand. The ResNet model is improved by optimizing the convolution layer in the residual block and adjusting the order of the batch‐normalized layer and the activation layer. Finally, the multicategory fusion features were obtained by combining the overall features of the clothing image from the global area, the main part, to the part areas. The experimental results show that the proposed algorithm eliminates the influence of interference factors, makes the recognition process focus on clothing itself, greatly improves the accuracy of the clothing style recognition, and is better than the traditional deep residual network‐based methods.
A Systematic Review on Harmony Search Algorithm: Theory, Literature, and Applications
Authors: Dubey Mahima , Kumar Vijay , Kaur Manjit , Dao Thanh-Phong
Published: April 2021

Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the behavior of a musician producing a perfect harmony. It has been used to solve the wide variety of real-life optimization problems due to its easy implementation over other metaheuristics. It has an ability to provide the balance between exploration and exploitation during search. In this paper, a systematic review on harmony search algorithm (HSA) is presented. The natural inspiration and conceptual framework of HSA are discussed. The control parameters of HSA are described with their mathematical foundation. The improvement and hybridization in HSA with other metaheuristics are discussed in detail. The applicability of HSA in different problem domains is studied. The future research directions of HSA are also investigated.
A Note on Multimachine Scheduling with Weighted Early/Late Work Criteria and Common Due Date
Authors: Cao Kerang , Chen Xin , Choi Kwang-nam , Liang Yage , Miao Qian , Zhang Xingong
Published: April 2021

In this note, we revisit two types of scheduling problem with weighted early/late work criteria and a common due date. For parallel identical machines environment, we present a dynamic programming approach running in pseudopolynomial time, to classify the considered problem into the set of binary NP-hard. We also propose an enumeration algorithm for comparison. For two-machine flow shop systems, we focus on a previous dynamic programming method, but with a more precise analysis, to improve the practical performance during its execution. For each model, we verify our studies through computational experiments, in which we show the advantages of our techniques, respectively.
Dominating Topological Analysis and Comparison of the Cellular Neural Network
Authors: Ejaz Farukh , Hussain Muhammad , Almohamedh Hamad , Alhamed Khalid M. , Alabdan Rana , Almotairi Sultan
Published: April 2021

Graph theory is a discrete branch of mathematics for designing and predicting a network. Some topological invariants are mathematical tools for the analysis of connection properties of a particular network. The Cellular Neural Network (CNN) is a computer paradigm in the field of machine learning and computer science. In this article we have given a close expression to dominating invariants computed by the dominating degree for a cellular neural network. Moreover, we have also presented a 3D comparison between dominating invariants and classical degree-based indices to show that, in some cases, dominating invariants give a better correlation on the cellular neural network as compared to classical indices.
Diabetic Retinopathy Detection Using Local Extrema Quantized Haralick Features with Long Short-Term Memory Network
Authors: Ashir Abubakar M. , Ibrahim Salisu , Abdulghani Mohammed , Ibrahim Abdullahi Abdu , Anwar Mohammed S.
Published: April 2021

Diabetic retinopathy is one of the leading diseases affecting eyes. Lack of early detection and treatment can lead to total blindness of the diseased eyes. Recently, numerous researchers have attempted producing automatic diabetic retinopathy detection techniques to supplement diagnosis and early treatment of diabetic retinopathy symptoms. In this manuscript, a new approach has been proposed. The proposed approach utilizes the feature extracted from the fundus image using a local extrema information with quantized Haralick features. The quantized features encode not only the textural Haralick features but also exploit the multiresolution information of numerous symptoms in diabetic retinopathy. Long Short-Term Memory network together with local extrema pattern provides a probabilistic approach to analyze each segment of the image with higher precision which helps to suppress false positive occurrences. The proposed approach analyzes the retina vasculature and hard-exudate symptoms of diabetic retinopathy on two different public datasets. The experimental results evaluated using performance matrices such as specificity, accuracy, and sensitivity reveal promising indices. Similarly, comparison with the related state-of-the-art researches highlights the validity of the proposed method. The proposed approach performs better than most of the researches used for comparison.
Research on Real Working Condition Simulation and Performance Test of Wind Power Main Bearing Based on Test Bench
Authors: Zhai Guodong , Qin Xujie , Yang Xing
Published: April 2021

As a renewable energy source, wind energy has received more and more attention, and the wind power industry has also been advocated and developed by countries all over the world. In the production and use of wind turbines, the design and manufacturing technology of wind turbine bearings is very important. In order to ensure the reliable operation of the wind power main bearing after installation and realize the longest life of it, this paper designs a bearing test bench that can test the performance of the wind power main bearing. It can analyze the temperature, displacement, load, and moment of the key parts of the 5 MW wind power main shaft bearing. The solid modeling of the experimental platform was carried out using the 3D modeling software SolidWorks. Hydraulic loading system and test monitoring system are designed to realize the drive and control of the test bench. Through the established mathematical model, the central load of the hub is converted into the axial cylinder load and the radial cylinder load of the test bench to simulate the actual working conditions of the tested bearing. The test results show that the test bench meets various loading requirements and can reliably complete the task of testing wind power main bearings.
The Moderating Role of Ethical Leadership on Nurses’ Green Behavior Intentions and Real Green Behavior
Authors: Li Miaomiao , Gong Zhenxing , Gilal Faheem Gul , Van Swol Lyn M. , Xu Jifeng , Li Fei
Published: April 2021

Aim. This study is aimed at exploring the relationship between green behavior intentions and green behavior and analyzing the moderating role of ethical leadership in this relationship. Background. Nurses’ green behavior can directly reduce costs and protect the natural environment and organizational sustainability by saving resources and energy. It is not clear how green behavior intention affects green behavior or how the positive influence of green behavior intention on green behavior can be enhanced. Design and Methods. This is a cross‐sectional study, and the surveys are collected from 3 hospitals in China. Of the initial cohort of 489 nurses, 89.6% were female. There were 327 subjects (66.9%) aged 35 or less, 267 subjects (54.6%) with 10 years or less of work experience, and 220 unmarried subjects (44.9%). Data were collected from January to July 2018, using three surveys: green behavior intentions, green behavior, and ethical leadership. Results. Green behavior intentions impacted employee green behavior (b = 0.32, t = 5.37, p < 0.01). The interaction term for green behavior intentions and ethical leadership was significant (b = 0.28, t = 2.53, p ≤ 0.01); the conditional direct effect of green behavior intentions was only significant at a high level of ethical leadership (conditional effect = 0.53, SE = 0.16, t = 3.38, p < 0.01, 95% confidence interval of 0.22‐0.84). Conclusion. The intention to engage in green behavior influences nurses’ green behavior positively, and the relationship is stronger when ethical leadership is high in the organization than when ethical leadership is low. The results of this study can help both academics and practitioners to understand the micromechanism of environmentally sustainable development in more detail and to identify the mechanisms and boundary conditions of green behavioral intentions, green behavior, and ethical leadership.
Line Graphs of Monogenic Semigroup Graphs
Authors: Akgunes Nihat , Nacaroglu Yasar , Pak Sedat
Published: April 2021

The concept of monogenic semigroup graphs

Γ

S

M

is firstly introduced by Das et al. (2013) based on zero divisor graphs. In this study, we mainly discuss the some graph properties over the line graph

L

Γ

S

M

of

Γ

S

M

. In detail, we prove the existence of graph parameters, namely, radius, diameter, girth, maximum degree, minimum degree, chromatic number, clique number, and domination number over

L

Γ

S

M

.
TREM1 Blockade Ameliorates Lipopolysaccharide‐Induced Acute Intestinal Dysfunction through Inhibiting Intestinal Apoptosis and Inflammation Response
Authors: Shen Lijuan , Zhou Yonghua , Wu Xiping , Sun Yuewen , Xiao Tao , Gao Yin , Wang Jingui
Published: April 2021

Objective. The lipopolysaccharide‐ (LPS‐) induced acute intestinal dysfunction model has been widely applied in recent years. Here, our aim was to investigate the effect of triggering receptor expressed on myeloid cells‐1 (TREM1) inhibitor in LPS‐induced acute intestinal dysfunction. Methods. Male rats were randomly assigned into normal (saline injection), model (LPS and saline injection), and LP17 (LPS and LP17 (a synthetic TREM1 inhibitor) injection) groups. The levels of intestinal TREM1 expression were evaluated by immunohistochemistry and western blot. Intestinal permeability and apoptosis were separately assessed by the lactulose/mannitol (L/M) ratio and TUNEL assay. The levels of soluble TREM1 (sTREM1), TNF‐α, IL‐6, and IL‐1β were measured in the plasma and intestinal tissues by ELISA. The expression levels of NF‐κB, high‐mobility group box 1 (HMGB1), and toll‐like receptor 4 (TLR‐4) were measured with RT‐qPCR and western blot. After transfection with si‐TREM1 in LPS‐induced intestinal epithelium‐6 (IEC‐6) cells, p‐p65 and p‐IκBα levels were detected by western blot. Results. LP17‐mediated TREM1 inhibition alleviated the intestine tissue damage in rats with LPS‐induced acute intestinal dysfunction. LP17 attenuated the LPS‐induced increase in sTREM1, TNF‐α, IL‐6, and IL‐1β levels in the plasma and intestinal tissues. Furthermore, intestine permeability and epithelial cell apoptosis were ameliorated by LP17. LP17 attenuated the LPS‐induced increase in the expression of TREM1, HMGB1, TLR‐4, and NF‐κB in the intestine tissues. In vitro, TREM1 knockdown inactivated the NF‐κB signaling in LPS‐induced IEC‐6 cells. Conclusion. LP17 could ameliorate LPS‐induced acute intestinal dysfunction, which was associated with inhibition of intestinal apoptosis and inflammation response.
[Retracted] Oral Administration of Gintonin Protects the Brains of Mice against Aβ‐Induced Alzheimer Disease Pathology: Antioxidant and Anti‐Inflammatory Effects
Authors: Ikram Muhammad , Jo Min Gi , Park Tae Ju , Kim Min Woo , Khan Ibrahim , Jo Myeung Hoon , Kim Myeong Ok
Published: April 2021

The study was aimed at analyzing the protective effects of gintonin in an amyloid beta‐ (Aβ‐) induced Alzheimer’s disease (AD) mouse model. For the development of the Aβ‐induced AD mouse model, the amyloid‐β (Aβ1-42) peptide was stereotaxically injected into the brains of mice. Subsequently, gintonin was administered at a dose of 100 mg/kg/day/per oral (p.o) for four weeks daily, and its effects were evaluated by using western blotting, fluorescence analysis of brain sections, biochemical tests, and memory‐related behavioral evaluations. To elucidate the effects of gintonin at the mechanistic level, the activation of endogenous antioxidant mechanisms, as well as the activation of astrocytes, microglia, and proinflammatory mediators such as nuclear factor erythroid 2‐related factor 2 (NRF‐2) and heme oxygenase‐1 (HO‐1), was evaluated. In addition, microglial cells (BV‐2 cells) were used to analyze the effects of gintonin on microglial activation and signaling mechanisms. Collectively, the results suggested that gintonin reduced elevated oxidative stress by improving the expression of NRF‐2 and HO‐1 and thereby reducing the generation of reactive oxygen species (ROS) and lipid peroxidation (LPO). Moreover, gintonin significantly suppressed activated microglial cells and inflammatory mediators in the brains of Aβ‐injected mice. Our findings also indicated improved synaptic and memory functions in the brains of Aβ‐injected mice after treatment with gintonin. These results suggest that gintonin may be effective for relieving AD symptoms by regulating oxidative stress and inflammatory processes in a mouse model of AD. Collectively, the findings of this preclinical study highlight and endorse the potential, multitargeted protective effects of gintonin against AD‐associated oxidative damage, neuroinflammation, cognitive impairment, and neurodegeneration.
Study on Release and Migration of Radionuclides under the Small Break Loss of Coolant Accident in a Marine Reactor
Authors: Fang Zhao , Shuliang Zou , Zejun Liu , Tao Xu , Shoulong Xu , Yan Huang , Jinjun Feng
Published: April 2021

Using severe accident analysis program MELCOR, the small break loss of coolant accident (SBLOCA) analysis model was established for a marine reactor. The release and migration of radionuclides were analyzed during a severe accident induced by SBLOCA. The analysis of the hydrogen source term release showed that the maximum hydrogen release amount was 248.567 kg, and the hydrogen release amount accounted for less than 4% of the air volume. So, there would be no danger of hydrogen explosion accidents. The research mainly focused on the behaviors of the release, the transport, the retention, and the final distribution of inert gases represented by Xe, volatile gases represented by CsI, and nonvolatile nuclides represented by Ba. The results showed that the reactor core exposed completely with a lagging by 510 s and the initial release time of nuclides was lagged by 1916 s. The release shares of Xe in the primary circuit system, the containment, and the environment were 0.013%, 0.06%, and 32.71%, respectively. Also, Ba shared 0.016%, 0.0032%, and 3.28%, respectively, and CsI shared 0.0145%, 0.0012%, and 2.845%, respectively.
Occurrence of Recurrent Aphthous Stomatitis (RAS) as a Rare Oral Manifestation in a Patient with Gilbert’s Syndrome
Authors: Heboyan Artak , Avetisyan Anna , Skallevold Hans Erling , Rokaya Dinesh , Marla Vinay , Vardanyan Anna
Published: April 2021

Recurrent aphthous stomatitis is an ulcerative disease of the oral cavity and can occur in isolation or as a manifestation of many systemic diseases. It is a quite common entity and may hence often be overlooked as an isolated lesion. Gilbert’s syndrome is a genetic disorder where a deficiency of an enzyme associated with the conjugation of bilirubin results in unconjugated hyperbilirubinemia. The disease is generally asymptomatic and is aggravated by certain trigger factors. No associated oral manifestations are known. In this case report, we discuss the concomitant presence of recurrent aphthous stomatitis in a patient of Gilbert’s syndrome. The presence of such recurrent stomatitis may represent as an oral manifestation of Gilbert’s syndrome. Early identification of these entities may improve the overall quality of life of the patient.
Theoretical and Experimental Study on the Mechanism of Instability and Firing Gas in Hard Quartz Sandstone
Authors: Liu Jianqiang , Qin Guangpeng , Cao Jing , Zhai Minghua , Pei Yunxin
Published: April 2021

The upper part of high gas coal seam often has a hard and thick sandstone roof, which provides the condition for the occurrence of gas accident in goaf caused by the friction effect for the sliding and instability of hard quartz sandstone. Based on the engineering background of the 1007 working face of Xiakuotan Coal Mine, the conditions of sliding instability of hard quartz sandstone and the possibility of the friction effect are discussed by combining theoretical analysis with the laboratory test. When the ratio of span to thickness is less than 2∼2.56, the hard‐thick sandstone strata may slip and lose stability. The influence of friction velocity and gas concentration on the induced gas of quartz sandstone is analyzed and compared. The results show that the point spark, the spark beam, and the gas explosion time are inversely proportional to the relative friction velocity, and the intensity of the gas explosion is directly proportional to the gas concentration and the relative friction velocity. This paper provides the basis for the prevention and control of gas disasters in goaf and the control of hard and thick sandstone roof strata under similar engineering geological conditions. It is of great significance to promote the safe and efficient production of coal mines and to ensure the safety of personal and property.
A Network Pharmacology Study Based on the Mechanism of Citri Reticulatae Pericarpium-Pinelliae Rhizoma in the Treatment of Gastric Cancer
Authors: Song Siyuan , Huang Wenjie , Lu Xiaona , Liu Jiatong , Zhou Jiayu , Li Ye , Shu Peng
Published: April 2021

Objective. To explore the mechanism of action of Citri Reticulatae Pericarpium-Pinelliae Rhizoma (CRP-PR) in treating gastric cancer (GC) by using pharmacology network. Methods. Based on oral bioavailability and drug-likeness, the main active components of CRP-PR were screened using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). DisGeNET Database was used to establish target databases for GC. Cytoscape software was used to construct a visual interactive network diagram of “Active Component-Target” and screen out the key targets. The STRING database was used to construct a protein interaction network. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the key targets. Additionally, TCGA and HPA databases were used for key target verification. Results. Thirty-seven active components of CRP-PR were screened. The results of network analysis showed that the main components include 8-octadecenoic acid, stigmasterol, ferulic acid, and naringenin of the CRP-PR herb pair. The key targets of the PPI network mainly involved GAPDH, MAPK3, JUN, STAT3, GSK3B, SIRT1, ERBB2, and SMAD2. GO enrichment analysis involves 540 biological processes, 118 cellular components, and 171 molecular functions. CRP-PR components were predicted to exert their therapeutic effect on the tumor signaling pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, and estrogen signaling pathway. The validation of the key genes in the TCGA and HPA database showed that most of the key target verification results were consistent with this article. Conclusion. CRP-PR can treat GC by mediating PI3K-Akt signal pathway, MAPK signal pathway, and other biological processes such as tumor cell proliferation, apoptosis, and vascular regeneration, which embodies the synergistic effect of multi-components, multi-targets, and multi-channels, and provides the theoretical basis and research ideas for further study of CRP-PR in treating GC. 8-octadecenoic acid, stigmasterol, ferulic acid, and naringenin may be the material basis for the treatment of GC.
A 2D Photographic and 3D Digital Dental Model Analysis of Golden Percentage in Maxillary Anterior Teeth
Authors: Ahmed Naseer , Halim Mohamad Syahrizal Bin , Ghani Zuryati Ab , Khan Zafar Ali , Abbasi Maria Shakoor , Jamayet Nafij Bin , Alam Mohammad Khursheed
Published: April 2021

The objective of this paper was to evaluate the existence of golden percentage in natural maxillary anterior teeth with the aid of 3D digital dental models and 2D photographs. And to propose regional values of golden percentage for restoration of maxillary anterior teeth. For this purpose, one hundred and ninety dentate subjects with sound maxillary anterior teeth were selected. Standardized frontal images were captured with DSLR, and the apparent width of maxillary anterior teeth was measured utilizing a software on a personal laptop computer. Once the dimensions were recorded, the calculations were made according to the golden percentage theory (GPT). The data were analyzed by independent and paired T‐test. The level of significance was set at p < 0.05. The golden percentage values were not found in this study. The values obtained were 16%, 15%, 20%, 20%, 15%, and 16% moving from the right canine to the left canine teeth. There was no significant gender difference in the golden percentage values. Thus, golden percentage should not be used solely for the correction of anterior teeth or for determining dental attractiveness. Emphasis should be given to a range of dental proportion on regional basis.
Active Synchronous Control Strategy of Distributed Power Grid Connection Based on Mobile Network
Authors: Zhang Liu , Ma Shaohua , Ge Yangyang , Gu Cailian , Wang Hao
Published: April 2021

This paper presents an active synchronous control scheme for distributed power grid connection based on the mobile network. This scheme avoids the disadvantages of the traditional control method, such as long waiting time and low reliability, and can meet the requirements of “the hotplug online” distributed power grid connection. The scheme uses the mobile network to collect and detect voltage slip information between the distributed power system and large power grid before operation. When the voltage slip cannot meet the requirements of grid connection, the side voltage information of the distributed power system is actively regulated. The amplitude difference and phase difference signals are, respectively, adjusted by PI, and the generated adjustment signals are, respectively, sent to the corresponding controllers through the mobile network with different weight coefficients. After the receiver receives the regulated signal, it changes the amplitude and frequency of its output voltage by shifting the pendent characteristic curve, so as to realize the distributed power system side voltage and the large power grid side voltage eventually. Finally, simulation analysis and experiments are used to verify the effectiveness and practicability of the active synchronous control strategy.
An Efficient Blind Image Deblurring Using a Smoothing Function
Authors: Khongkraphan Kittiya , Phonon Aniruth , Nuiphom Sainuddeen
Published: April 2021

This paper introduces an efficient deblurring image method based on a convolution-based and an iterative concept. Our method does not require specific conditions on images, so it can be widely applied for unspecific generic images. The kernel estimation is firstly performed and then will be used to estimate a latent image in each iteration. The final deblurred image is obtained from the convolution of the blurred image with the final estimated kernel. However, image deblurring is an ill-posed problem due to the nonuniqueness of solutions. Therefore, we propose a smoothing function, unlike previous approaches that applied piecewise functions on estimating a latent image. In our approach, we employ L2-regularization on intensity and gradient prior to converging to a solution of the deblurring problem. Moreover, our work is based on the quadratic splitting method. It guarantees that each subproblem has a closed-form solution. Various experiments on synthesized and real-world images confirm that our approach outperforms several existing methods, especially on the images corrupted by noises. Moreover, our method gives more reasonable and more natural deblurred images than those of other methods.
Optimization Analysis of Automotive Asymmetric Magnetic Pole Permanent Magnet Motor by Taguchi Method
Authors: Zhang Wenchao , Shi Liwei , Liu Kaiwen , Li Lintao , Jing Jianning
Published: April 2021

In order to improve the air-gap flux density of the permanent magnet synchronous motor and reduce the cogging torque, a novel structure with asymmetric magnetic poles for automobile was proposed. Based on the characteristics of the parallel magnetic circuit, the magnetic flux path diagram is established. And the equivalent magnetic circuit model is established by the equivalent magnetic circuit method. The Taguchi method is used to be a multiobjective optimization algorithm. The total harmonic distortion of the air-gap flux density is the first optimization goal. The second and third optimization goals are the cogging torque and the average of output torque, respectively. And the torque ripple is a constraint condition. The optimized parameter combination is obtained by the Taguchi method. Finite element simulation analysis and prototype test are carried out for the optimized motor structure. The results show that the total harmonic distortion of air-gap flux density is reduced by 36.7% comparing with the initial structure. The cogging torque is reduced by 26.0%. And the average output torque is increased by 4.8%.