bluuebunny/crossref_metadata_2025 huggingface dataset:
Pim-1 kinase is a positive feedback regulator of the senescent lung fibroblast inflammatory secretome
Authors: Gao Ashley Y. , Diaz Espinosa Ana M. , Gianì Fiorenza , Pham Tho X. , Carver Chase M. , Aravamudhan Aja , Bartman Colleen M. , Ligresti Giovanni , Caporarello Nunzia , Schafer Marissa J. , Haak Andrew J.
Published: October 2022

Cellular senescence is emerging as a driver of idiopathic pulmonary fibrosis (IPF), a progressive and fatal disease with limited effective therapies. The senescence-associated secretory phenotype (SASP), involving the release of inflammatory cytokines and profibrotic growth factors by senescent cells, is thought to be a product of multiple cell types in IPF, including lung fibroblasts. NF-κB is a master regulator of the SASP, and its activity depends on the phosphorylation of p65/RelA. The purpose of this study was to assess the role of Pim-1 kinase as a driver of NF-κB-induced production of inflammatory cytokines from low-passage IPF fibroblast cultures displaying markers of senescence. Our results demonstrate that Pim-1 kinase phosphorylates p65/RelA, activating NF-κB activity and enhancing IL-6 production, which in turn amplifies the expression of PIM1, generating a positive feedback loop. In addition, targeting Pim-1 kinase with a small molecule inhibitor dramatically inhibited the expression of a broad array of cytokines and chemokines in IPF-derived fibroblasts. Furthermore, we provide evidence that Pim-1 overexpression in low-passage human lung fibroblasts is sufficient to drive premature senescence, in vitro. These findings highlight the therapeutic potential of targeting Pim-1 kinase to reprogram the secretome of senescent fibroblasts and halt IPF progression.
The effect of dietary intake on apneic performance, cardiovascular and splenic responses during repeated breath holds
Authors: Elia Antonis , Johannesson Bjorn , Gottschalk Frode , Gennser Mikael
Published: October 2022

Static apneas performed after an overnight fast as opposed to postprandially have been evinced to improve apneic performance. However, no study has explored the effect of dietary intake on apneic performance, cardiovascular or splenic responses over a series of repeated apneas. Ten healthy adults attended the laboratory on three separate occasions (≥48-h apart): after a 14-h fast (F14), 1 h postconsumption of a high-calorie, high-carbohydrate (HCHC) meal, or 1 h postconsumption of a low-calorie, low-carbohydrate (LCLC)-based meal. During each visit, the subjects performed a hyperoxic rebreathing trial and a series of three repeated maximal static apneas. Heart rate, peripheral oxyhemoglobin saturation ([Formula: see text]), and gas exchange were monitored continuously, whereas splenic volume (SV) and hematology were assessed after the rebreathing and apneas. At rest, after HCHC, the respiratory exchange ratio (0.87 ± 0.17, P ≤ 0.043), expired minute volume of carbon dioxide (CO2; HCHC, 0.35 ± 0.09 L/min, P ≤ 0.014), and SV (227 ± 45 mL, P ≤ 0.031) were higher compared with F14 (0.71 ± 0.08; 0.23 ± 0.04 L/min; 204 ± 49 mL) and LCLC (0.72 ± 0.07; 0.25 ± 0.03 L/min; 199 ± 49 mL). A faster CO2 accumulation was recorded during the HCHC (96 ± 35 s) rebreathing trial (F14, 162 ± 42 s, P = 0.001; LCLC, 151 ± 23 s, P = 0.002). Longer apneas were reported in F14 compared with HCHC (apneas 1–3, P ≤ 0.046) and LCLC (apneas 2–3, P ≤ 0.006). After the first apnea, SV was lower in F14 (141 ± 43 mL, P = 0.015) compared with HCHC (180 ± 34 mL). Moreover, after the third apnea, end-tidal partial pressure of oxygen and nadir [Formula: see text] were lower in F14 (8.6 ± 2.2 kPa, P = 0.028; 77 ± 13%, P = 0.009) compared with HCHC (10.1 ± 1.7 kPa; 84 ± 9%). No differences were measured in end-apneic end-tidal partial pressure of CO2, heart rate nor hematology across diets. Fasting improved apneic performance with apneas being terminated at lower oxygen levels through altering the rate of CO2 accumulation but without affecting the cardiovascular responses.
Control becomes habitual early on when learning a novel motor skill
Authors: Yang Christopher S. , Cowan Noah J. , Haith Adrian M.
Published: October 2022

Habits and motor skills have often been thought to be deeply related, but very few studies have empirically examined the relationship between the two. We present evidence that habits emerge early in learning, long before a motor skill has been fully learned. Our results suggest that habits may play an integral role in the learning and performance of motor skills from even the early stages of acquiring a new skill.
Feature Extraction of Fused Residual Network and Single Target-Assisted Vessel Image Recognition of MRF Grayscale Information
Authors: Zhang Ping , Cai Xinyong , Shi Jian , Lai Hengli , Min Shihao , Hong Lang , Shao Liang
Published: October 2022

At present, the segmentation method for the heart is one of the most difficult problems and a hot topic in medical imaging segmentation and image analysis. In order to achieve high-precision recognition of heart and blood vessel image, a single target auxiliary blood vessel image recognition algorithm, based on Markov Random Field (MRF) and ash fusion residual network information, is proposed in this paper. The corresponding features are extracted by the residual network depth, and the heart and blood vessels are segmented with high precision through MRF gray information to assist blood vessel image recognition. Thus, an algorithm combining Markov Random Field and Grayscale Information can complete such auxiliary recognition for single target ship image. The paper will also discuss auxiliary recognition techniques for identifying images of the heart and blood vessels. Added to that, it presents current medical image algorithms with a particular emphasis on cardiac image algorithms. Through a series of analysis, better algorithms are proposed. Thus, the research contents of a single target present the vascular image recognition algorithm. Therefore, a blood vessel image recognition algorithm is proposed for the research content of a single target. A series of validation experiments are conducted on the DRIVE and star datasets. The experimental results show that the method proposed in this paper has high segmentation accuracy, can achieve high-precision segmentation, and can achieve high-precision single target blood vessel image recognition. By observing and analyzing two-dimensional cardiac images, such as diabetic arterioles, hemorrhages, hard exudates, and so on, the difficulty of diagnosing cardiovascular disease characteristics can be reduced, and the diagnosis and treatment can be facilitated.
hUC-MSCs Attenuate Acute Graft-Versus-Host Disease through Chi3l1 Repression of Th17 Differentiation
Authors: Liu Weijiang , Yuan Fulin , Bai Haitao , Liu Yuanlin , Li Xue , Wang Yang , Zhang Yi
Published: October 2022

Mesenchymal stem cells (MSCs) have already demonstrated definitive evidence of their clinical benefits in acute graft-versus-host disease (aGvHD) and other inflammatory diseases. However, the comprehensive mechanism of MSCs’ immunomodulation properties has not been elucidated. To reveal their potential immunosuppressive molecules, we used RNA sequencing to analyze gene expression in different tissue-derived MSCs, including human bone marrow, umbilical cord, amniotic membrane, and placenta, and found that chitinase-3-like protein 1 (Chi3l1) was highly expressed in human umbilical cord mesenchymal stem cells (hUC-MSCs). We found that hUC-MSCs treated with interferon-gamma (IFN-γ) and tumor necrosis factor-alpha (TNF-α) exhibited increased expression of Chi3l1 and concurrently repressed T-helper 17 cell (Th17) differentiation through inhibition of signal transducer and activator of transcription 3 (STAT3) activation. Furthermore, Chi3l1 knockdown hUC-MSCs exhibited impaired therapeutic efficacy in aGvHD mice with an increased inflammatory response by promoting Th17 cell differentiation, including an increase in IL-17A in the spleen, intestine, and serum. Collectively, these results reveal a new immunosuppressive molecule, Chi3l1, in hUC-MSCs in the treatment of aGvHD that regulates Th17 differentiation and inhibits STAT3 activation. These novel insights into the mechanisms of hUC-MSC immunoregulation may lead to the consistent production of hUC-MSCs with strong immunosuppressive functions and thus improved clinical utility.
Nondestructive Testing of Coal Mine Wire Ropes Based on Magnetic Sensors
Authors: Yuan Youliang , Wang Kaihui , Chen Baoyuan , Qiu Yu
Published: October 2022

Safety is the first priority in production. The situation is complex in the deep underground of coal mines, and safety accidents often occur. Wire rope is a kind of safety device. With the help of wire rope, the safety of miners can be guaranteed to a certain extent. It is a very important tool for mining production. However, the current detection of coal mine wire rope still relies on the data from the factory, and it is impossible to achieve nondestructive testing in use. This article aims to study the degree of wear of mining wire ropes to ensure the safety of miners as much as possible. According to the characteristics of the wire rope, any defect (rust, broken wire, broken wire, etc.) changes in the cross-sectional area of the wire rope will change the magnetic permeability of the wire rope. With the help of equipment, we can collect data on changes in the magnetic field (MF). Based on this experimental design, the steel wire rope is given an MF, and the magnetic sensor is used to monitor the MF signal and convert it into an electrical signal. According to the collected electrical signal analysis and judgment, the sensor model is constructed, the size and position of the wire rope cross-sectional change are deduced, and the defect of the wire rope is judged. The experimental results in this study show that the magnetic sensor is an effective measure to monitor the nondestructive degree of the wire rope, with a sensitivity of more than 80%.
A Cloud-Structured Fractal Multiband Antenna for 4G/5G/WLAN/Bluetooth Applications
Authors: Yu Zhen , Zhang Guodong , Ran Xiaoying , Lin Ziheng , Li Yao
Published: October 2022

This study proposes a multiband printed planar antenna with cloud-like grooves. The outer contour of the antenna is shaped like a cloud, and the groove-like pattern is similar to the cloud-like pattern in ancient China. It can support 3G, 4G, 5G, WLAN, Bluetooth, WiMAX, and other applications. Based on the traditional monopole antenna, the antenna combines the advantages of a coplanar waveguide. The antenna uses an Archimedes helix to create grooves that resemble ancient Chinese cloud structures. Three effective frequency bands are obtained. The relative bandwidth of the first frequency band (1.8–2.6 GHz) is 32.7%, covering 5G band n2 (1.85 GHz–1.99 GHz), WCDMA (1.9–2.17 GHz), LTE33-41 (1.9–2.69 GHz), Bluetooth (2.4–2.48 GHz), WLAN (2.4–2.48 GHz), LTE Band40 (2.3–2.4 GHz), ISM Band (2.42–2.4835 GHz), WiMAX (2.3 GHz), and SCDMA (1.88–2.025 GHz and 2.3–2.4 GHz). The second frequency band (3.35–4.1 GHz) has a relative bandwidth of 20.5%, covering LTE42/43 (3.4–3.8 GHz) and 5G band n78 (3.4 GHz–3.8 GHz). The relative bandwidth of the third band (5.5–7.9 GHz) is 40.3%, covering Emergency and Public Protection (5.85 GHz–5.925 GHz) (WRC03). The antenna is printed on a G10/FR4 dielectric board with a size of

1.6
∗
45
∗
40
 

m
m

3

, the dielectric constant is 4.4, and the omnidirectional radiation pattern gain is 0.59–4.14 dBi. The measurement results are in good agreement with the simulation results. The proposed design method is verified to meet the requirements of various wireless applications.
The Impact of a Contrastive Lexical Approach in Formulaic Expressions’ Perception on University EFL Learners’ Writing Proficiencies
Authors: Abdulaal Mohammad Awad Al-Dawoody , Sadek Sayed , Osman Ahmed Madani , Zakaria Mahmoud Hal Amal , Elsayed Ahmed Saleh Said
Published: October 2022

The purpose of this study was to look at how the contrastive lexical approach influenced Saudi EFL learners’ writing proficiencies. Forty-six Saudi EFL learners from the College of Science and Humanities at Prince Sattam Bin Abdulaziz University were randomly selected for this study. The study sample was then divided by the block randomization method into two equal groups: an experimental group (EG) and a control group (CG). All the EFL learners were males, aged between 16 and 19. First, a pretest was administered to the two groups to gauge their writing proficiency. The experimental group then received writing instructions using the Contrastive Lexical Approach (CLA) over the course of 12 sessions, precisely, two fifty-minute sessions a week. While the participants in the EG were given L1 equivalents for L2 formulaic codes, the CG received conventional instructions and regulations during which participants began to skim and scan texts comprising the same formulaic codes as for the EG without being given any kind of translation and were then requested to write on the same subject matters as the experimental group. The two groups each received a posttest at the end of the treatment. After confirming the normal distribution of the data, the paired sample t-test was used to strike a comparison between the mean scores of the two posttests. The results demonstrated that adopting a contrastive lexical approach had a considerably significant impact on Saudi EFL learners’ writing proficiencies. The implication, as the size effect results showed, was that there was a strong correlation between CLA and writing skill development.
Cytotoxicity of Hybrid Noble Metal‐Polymer Composites
Authors: Tkachenko Anton , Virych Pavlo , Myasoyedov Valeriy , Prokopiuk Volodymyr , Onishchenko Anatolii , Butov Dmytro , Kuziv Yuliia , Yeshchenko Oleg , Zhong Sican , Nie Guochao , Kutsevol Nataliya
Published: October 2022

The aim of the present research was to assess the cytotoxicity of gold and silver nanoparticles synthesized into dextran‐graft‐polyacrylamide (D‐PAA) polymer nanocarrier, which were used as a basis for further preparation of multicomponent nanocomposites revealed high efficacy for antitumor therapy. The evaluation of the influence of Me‐polymer systems on the viability and metabolic activity of fibroblasts and eryptosis elucidating the mechanisms of the proeryptotic effects has been done in the current research. The nanocomposites investigated in this study did not reduce the survival of fibroblasts even at the highest used concentration. Our findings suggest that hybrid Ag/D‐PAA composite activated eryptosis via ROS‐ and Ca2+‐mediated pathways at the low concentration, in contrast to other studied materials. Thus, the cytotoxicity of Ag/D‐PAA composite against erythrocytes was more pronounced compared with D‐PAA and hybrid Au/polymer composite. Eryptosis is a more sensitive tool for assessing the biocompatibility of nanomaterials compared with fibroblast viability assays.
Alzheimer’s Disease Prediction Algorithm Based on Group Convolution and a Joint Loss Function
Authors: Cheng Jiayuan , Wang Huabin , Wei Shicheng , Liu Fei , Chen Yonglin
Published: October 2022

Alzheimer’s disease (AD) can effectively predict by 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) of the brain, but current PET images still suffer from indistinct lesion features, low signal-to-noise ratios, and severe artefacts, resulting in poor prediction accuracy for patients with mild cognitive impairment (MCI) and unclear lesion features. In this paper, an AD prediction algorithm based on group convolution and a joint loss function is proposed. First, a group convolutional backbone network based on ResNet18 is designed to extract lesion features from multiple channels, which makes the expression ability of the network improved to a great extent. Then, a hybrid attention mechanism is presented, which enables the network to focus on target regions and learn feature weights, so as to enhance the network’s learning ability of the lesion regions that are relevant to disease diagnosis. Finally, a joint loss function, that avoids the overfitting phenomenon, increases the generalization of the model, and improves prediction accuracy by adding a regularization loss function to the conventional cross-entropy function, is proposed. Experiments conducted on the public Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset show that the algorithm we proposed gives a prediction accuracy improvement of 2.4% over that of the current AD prediction algorithm, thus proving the effectiveness and availability of the new algorithm.
Identification of the Characteristic Genes and their Roles in Lung Adenocarcinoma Lymph Node Metastasis through Machine Learning Algorithm
Authors: Zhou Qian , Wang Xianghui , Qian Haiyun , Ma Shengwei , Lei Chenggang , Cui Fenghe
Published: October 2022

Background. Lymph node metastasis is an important route of lung cancer metastasis and can significantly affect the survival of lung cancer. Methods. All the analysis was conducted out in the R software. Expression profile and clinical information of lung adenocarcinoma (LUAD) patients were downloaded from The Cancer Genome Atlas database. Results. In our study, we firstly identified the characteristic genes of lymph node metastasis in LUAD through two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) logistic regression, and SVM-RFE algorithms. Ten characteristic genes were finally identified, including CRHR2, ITIH1, PRSS48, MAS1L, CYP4Z1, LMO1, TCP10L2, KRT78, IGFBP1, and PITX3. Next, we performed univariate Cox regression, LASSO regression, and multivariate Cox regression sequentially to construct a prognosis model based on MAS1L, TCP10L2, and CRHR2, which had a good prognosis prediction efficiency in both training and validation cohorts. Univariate and multivariate analysis indicated that our model is a risk factor independent of other clinical features. Pathway enrichment analysis showed that in the high-risk patients, the pathway of MYC target, unfolded protein response, interferon alpha response, DNA repair, reactive oxygen species pathway, and glycolysis were significantly enriched. Among three model genes, MAS1L aroused our interest and therefore was selected for further analysis. KM survival curves showed that the patients with higher MAS1L might have better disease-free survival and progression-free survival. Further, pathway enrichment, genomic instability, immune infiltration, and drug sensitivity analysis were performed to in-deep explore the role of MAS1L in LUAD. Conclusions. Results showed that the signature based on MAS1L, TCP10L2, and CRHR2 is a useful tool to predict prognosis and lung cancer lymph node metastasis.
Hybrid Methodology for the Computational Behaviour of Thermal Radiation and Chemical Reaction on Viscoelastic Nanofluid Flow
Authors: Pattnaik Pradyumna Kumar , Mishra Satya Ranjan , Panda S. , Syed Shoeb Ahmed , Muduli Kamalakanta
Published: October 2022

The current investigation carries out the free convection of an electrically conducting viscoelastic nanofluid through an expanding surface. The salient features of Brownian and thermophoresis due to cross-diffusion and thermal radiation enhance the heat transport phenomenon. Furthermore, the chemical reaction plays an important role in enriching the study. The current investigation shows its important role, such as the proper shape and size of the product in the final stage of production and also optimizing the transport phenomena of various industries that depend upon the supplied heat source, etc. With the appropriate selection of transformation rules, the proposed model is designed and transformed into the ordinary. Furthermore, a hybrid methodology such as the “Perturbation Method” and numerical technique, i.e., the “MATLAB solver (bvp4c technique),” is proposed to handle the governing equations. The graph and tabular form illustrate the characteristics of physical parameters blending within the flow phenomena.
Clinical Evaluation and Exploration of Mechanisms for Modified Xiebai Powder or Modified Xiebai Powder Combined with Western Medicine in the Treatment of Pneumonia
Authors: Zhang Qingling , Zong Yuqi , Yang Lizhen , Wang Kunran , Wang Yan
Published: October 2022

Objective. To systematically evaluate the clinical efficacy of modified Xiebai Powder or modified Xiebai Powder combined with Western medicine in the treatment of pneumonia and explore its potential mechanism of action. Methods. Meta-analysis was used to screen the eligible literature on randomized controlled trials (RCTs) about Xiebai Powder in the treatment of pneumonia, and Review Manager 5.3 software was used for statistical analysis of the data. Based on the results of the meta-analysis, the active ingredients in Xiebai Powder and their therapeutic targets, disease-related targets, and intersection targets were screened using methods of network pharmacology, and their biological processes and key signaling pathways were analyzed using bioinformatics tools. Molecular docking was carried out to verify and predict the mechanisms for Xiebai Powder combined with Western medicine in the treatment of pneumonia. Results. A total of 16 papers were screened out, with a total of 1,465 patients. The results of the meta-analysis showed that modified Xiebai Powder or modified Xiebai Powder combined with Western medicine were superior to conventional Western medicine in terms of clinical efficacy, shortening the disappearance time of symptoms (body temperature, cough, and pulmonary rales) and reducing the level of C-reactive protein, and the incidence of adverse reactions was significantly reduced. A total of 40 active ingredients in Xiebai Powder and 285 therapeutic targets of Xiebai Powder combined with azithromycin after deduplication were screened out from the database. KEGG enrichment analysis showed that Xiebai Powder combined with azithromycin might play a role in the treatment of pneumonia through the IL-17 signaling pathway, tumor necrosis factor signaling pathway, C-type lectin receptor signaling pathway, Toll-like receptor signaling pathway, and HIF-1 signaling pathway. Conclusions. Modified Xiebai Powder or modified Xiebai Powder combined with azithromycin has better effects in treating pneumonia, and modified Xiebai Powder combined with azithromycin may play a role in treating pneumonia through several pathways such as the IL-17 signaling pathway.
Art Design Teaching Based on the Multidata Fusion Algorithm and Virtual Simulation Technology
Authors: Liang Bin
Published: October 2022

Virtual Reality (VR) technologies are widely applied to teaching art design. VR has been created with high-level techniques that create the artificial environment to support virtual aesthetics. Especially ceramics art design requires technical advancement to enhance business individuals. However, the user requires the virtual reality experience to improve the art design teaching performance. During the teaching process, reality learning patterns, experiences, and fusion ceramic product design are required to enhance art design teaching. So, in this research, modern art design has been optimized using virtual reality with a deep learning architecture for craftsmanship, style, ideals, creative aesthetics, cultural ramifications, and inherited designers to create an effective model. The deep learning-assisted gate array algorithm (GAA) is used to optimize the modern art structure in system design. Therefore, this approach reveals some experimental findings that produce better performance benefits than saving time and resources in traditional manual detection systems.
Research on Diversified Visual Communication Design Based on Computer Digital Technology
Authors: Liu Hui , Zhang Zhiliang , Pan Youcheng
Published: October 2022

In order to improve the effect of diversified visual communication, this paper combines computer digital technology to design a multidimensional visual communication system. In order to improve lighting performance, parts of the surface of the secondary processing visually conveyed image have been processed with different diffusing materials, and the effects have been compared in simulations. There are two types of simulations: external simulation and internal simulation. Moreover, the cutting method based on the shape of the lighting area can design a rectangular lighting area, and the diffusing material can improve the lighting performance to a certain extent. In addition to this, according to the shape of the set target plane, a cut visual communication image is obtained. Through multiple simulation experiments, this paper verifies that the diversified visual communication design system based on computer digital technology can effectively improve the visual communication effect.
Multidrug Resistance Tracing by Plasmid Profile Analysis and the Curing of Bacteria from Different Clinical Specimens
Authors: Okoye Ebele L. , Kemakolam Christian , Ugwuoji Emmanuel T. , Ogbonna Ifeoma
Published: October 2022

Human-pathogenic bacteria resistant to one or multiple antibiotics have dramatically increased worldwide in the past decades. These bacteria possess great danger, have become a global issue, and it is now impossible to avoid developing strategies for the restoration of treatment options against infections caused by them. This research aims at profiling plasmids of multidrug-resistant bacteria from various clinical specimens such as ear exudate, sputum, urethral swab, wound swab, urine from the catheter, urine, nasal swab, high vaginal swab, stool, eye swab, and blood at Chukwuemeka Odumegwu Ojukwu University Teaching Hospital, Awka, Anambra State, Nigeria. Our investigation used the agar diffusion method for susceptibility tests and identification of multidrug-resistant bacteria before plasmid extraction and gel electrophoresis. A plasmid curing test was performed with 10% sodium dodecyl sulphate. Of the 860 bacteria whose resistance profile was determined, only 42 were multidrug-resistant. These bacteria include Pseudomonas aeruginosa 16 (38.10%), Staphylococcus aureus 12 (28.57%), Escherichia coli 9 (21.43%), and Klebsiella pneumoniae 5(11.90%). The molecular weight of their plasmids ranges between 20.884 kbp and 187.50 kbp. As indicated by the plasmid bands, some bacteria had similar molecular weight while others had no plasmid. The bacterial pattern of the postcuring sensitivity test showed that the bacteria with plasmid bands were cured as they became susceptible to the drugs they were previously resistant to, while the bacteria without plasmid bands remained resistant to the antibiotics. This implies that the latter’s multidrug resistance is nonplasmid mediated. Our analyses highlight the relationship between plasmids and multidrug resistance as well as the role of plasmids in the transmission of drug resistance across bacteria. Thus, in order to lessen the burden that multidrug-resistant bacteria cause and to improve bacterial infections treatments, there should be continued surveillance and periodic research on antibiotic resistance patterns of bacteria from various clinical settings.
Knowledge, Attitude, and Practice regarding Narrative Medicine among Chinese Medical Personnel: An Online Cross-Sectional Survey
Authors: Guo Tong , Sun Yongli , Li Guo
Published: October 2022

Background. Narrative medicine has been applied as a model for humane medical practice in many countries. However, it was not introduced in China until 2011 and there has been no standardized assessment of Chinese medical personnel regarding their perception and application of narrative medicine-related theories. This study is aimed at investigating Chinese medical personnel’s knowledge, attitude, and practice regarding narrative medicine and the factors that influence it. Methods. An online questionnaire based on the knowledge, attitude, and practice model was distributed among Chinese medical personnel from December 2021 to March 2022. All in-service medical personnel across China who had access to the Internet were eligible. Two independent samples

t

-tests, one-way analysis of variance, Pearson’s correlation analysis, and multivariate linear regression were conducted for data analyses. Results. The participants’ scoring rates for knowledge, attitude, and practice were 49.62%, 47.18%, and 41.43%, respectively. Significant influencing factors for knowledge were education level, religious belief, professional role, title, working years, and institution categories; those for attitude were education level, religious belief, professional role, and working years; and those for practice were professional title, religious belief, working years, and institution categories. Conclusions. Chinese medical personnel have generally good knowledge of, attitudes towards, and practice of narrative medicine; however, there remain deficiencies in their understanding of certain important concepts, their attitude towards narrative medicine, and the application of narrative skills in their daily work. Thus, to improve narrative medicine practice in China, the application of strategies based on theoretical, educational, and institutional aspects is warranted.
LEARNS Model as Perioperative Education Strategy for Patients with Laryngeal Tumors
Authors: Zhang Biaoxin , Sun Qinzhi , Hu Shaohua , Yu Yinxiang , Hu Cuixia , Zhao Dejuan , Xu Jing , Fang Jun , Wang Lulu
Published: October 2022

Objective. To evaluate LEARNS model as a perioperative strategy for health education and nursing supervision of patients with laryngeal tumors. Methods. LEARNS scheme based on the best practice guidelines was applied to patients in the observation group: (1) analyze the needs of patients (Listen_L); (2) establish therapeutic partnership (Establish_E); (3) adopt intentional intervention (Adopt_A); (4) reinforce health awareness (Reinforce_R); (5) implement feedback assessment of knowledge (Name_N); (6) strengthen self-management based on community resources (Strengthen_S). In the control group, traditional medical care instructions were provided to the patients by medical staff. Parameters such as anxiety status, treatment compliance, nursing satisfaction, self-care ability, and life quality were compared between the observation and control groups. Results. Upon admission, there was no significant difference in self-care ability and anxiety level between two groups. However, the anxiety level of observation group was significantly lower than that of the control group 1 day before operation and 7 days after operation. Postoperative treatment compliance and nursing satisfaction were also improved in the observation group. In addition, self-care ability and life quality in the observation group were significantly enhanced as compared to the control group. Conclusion. As a mutual learning process between nurses and patients, LEARNS model motivates nurses to assess the needs of patients voluntarily. Furthermore, evidence-based education reinforces the self-care ability and health awareness of the patients. Our data suggests that LEARNS model is of great value in improving the life quality of the patients with laryngeal tumors and nursing satisfaction.
Analyzing the Coordinated Relationship between Logistics and Economy Using the Internet of Things in Fujian Province
Authors: Yan Wei , Yan Jia
Published: October 2022

The Internet of Things (IoT) is a new method of doing things that have turned traditional lives into high technology. The improvements of IoT include smart economies, smart homes, pollution control, energy efficiency, smart transportation, and intelligence in the capacity. This technology is especially crucial in smart logistics, which is a generator of country and business efficiency and is critical to economic progress. Unfortunately, the current logistics business continues to suffer from high prices and low effectiveness. The advancement of intelligent logistics provides the potential to address these issues. In addition, IoT can generate vast amounts of data and investigate the intricate links between the transactions reflected by these data with the use of a variety of mathematical analytic methods. These characteristics are beneficial to the advancement of intelligent logistics. In this paper, we present a complete overview of IoT technologies used in smart logistics. Initially, the relevant work and IoT-based level of the growth of the logistics sector from a low-carbon viewpoint are presented. Then, we outline the technological solutions for IoT in intelligent logistics. During the experimental work, it selects a technique for estimating carbon emissions to compute the total carbon emissions of the logistics industry in eight provinces in the north and south. The carbon productivity and carbon emission characteristics of China’s logistics industry are then examined. In addition, it calculates the carbon emission efficiency of Fuzhou’s regional logistics industry based on the BCC model. Secondly, the coordination degree model of the composite system is used to analyze the coordination degree between the low-carbon economic system and the logistics industry level in Fujian Province. Furthermore, it selects the index of the logistics subsystem and the index of the low-carbon economic development subsystem to measure the coupling and coordination effect between logistics manufacturing and the low-carbon economy in Fujian Province.
Thermal Analysis of Graphene‐Based Nanofluids for Energy System and Economic Feasibility
Authors: Mohammad Reem Sabah , Aldlemy Mohammed Suleman , Ahmed Ali M. , Falah Mayadah W. , Ahammed Sumaiya Jarin , Yaseen Zaher Mundher
Published: October 2022

Graphene has piqued the interest of many researchers due to its superior mechanical, thermal, and physiochemical properties. Graphene nanoplatelets with covalently functionalized surfaces (CF‐GNPs) were employed in turbulent‐heated pipes to undertake thermal and economic studies. CF‐GNPs and distilled water were used to make the current nanofluids at various mass percentages, such as 0.025, 0.05, 0.075%, and 0.1 wt.%. In the range of 6,401 Re 11,907, the thermal system was heated up to 11,205 W/m2 under fully developed turbulent flow conditions. Field emission scanning electron microscopy (FE‐SEM), zeta potential, nanoparticle sizer, and field emission transmission electron microscopy (FE‐TEM) were used to examine the morphological features and characterise the particles. In addition, the current thermal system’s economic performance was assessed to estimate its price‐to‐operate ratio. There was a 16.10% reduction in heat exchanger size for 0.025 weight percent, 0.05 weight percent, 0.075 weight percent, and 0.1 weight percent. In addition, the power needed for the base fluid was 422 W, which was then lowered to 354 W, 326 W, 315 W, and 298 W for 0.025 wt.%, 0.05 wt.%, 0.075 wt.%, and 0.1 wt.%, respectively.
The Effect of Stir-Squeeze Casting Process Parameters on Mechanical Property and Density of Aluminum Matrix Composite
Authors: Vijayakumar S. , Satheesh Kumar P. S. , Sampath kumar Pappula , Manickam Selvaraj , Ramaiah Gurumurthy B. , Pydi Hari Prasadarao
Published: October 2022

This present investigation focusing on preparation of Al-based hybrid composites in which Al6082 is engaged as the main alloy reinforced with two reinforcements of ZrSiO₄/TiC. The combination of the stir-squeeze process helps to make different specimen by change of four parameters such as stir speed, stir time, reinforcements, and squeeze pressure. In this process, two reinforcements are reserved as constant about 7.5 wt%. The four levels of each parameter are stir speed (300, 400, 500, and 600 rpm), stir time (10, 15, 20, and 25 min), reinforcement (2.5, 5, 7.5, and 10 wt%), and squeeze pressure (50, 60,70, and 80 MPa). According to the L16 orthogonal array Taguchi design, the specimens are created to analyze the mechanical properties of tensile strength and hardness along with porosity. In addition, the optimization technique is used to determine the optimal parameter on improving tensile strength. The optimization process can be assisted by the software namely Minitab-17 which helps to study analysis of variance, regression model, and contour plots. The observed result of ANOVA showed that stir speed (41.8%) is the maximum influenced parameter that increases TS, followed by squeeze pressure (25.7%), stir time (12.7%), and reinforcement (1.96%), and optimum tensile strength is found at the parameters of stir speed 600 rpm, stir time 10 min, reinforcement 2.5 wt%, and squeeze pressure 80 MPa. The fractured surface of tensile strength also examined by the SEM test. The combined parameters of S4-T1-R1-P4 achieve the highest TS, and it is observed that there are nearly no pore defects and good diffusion as a result of the reinforcements to be properly mixed. It is noticeable that the TiC and Al 6082 matrix, as well as the various ZrSiO4 exhibit stronger bonds.
Exploration and Practice of Multidisciplinary Integration of Law Teaching under the Background of IOT and Wireless Communication
Authors: Sun Xiting
Published: October 2022

The exploration and practice of multidisciplinary integration of legal teaching under the background of wireless communication are still at the primary level, facing the situation of low degree of multidisciplinary integration of legal teaching and low contribution of wireless communication technology and Internet of Things technology to multidisciplinary integration of legal teaching. To solve these problems, it is necessary to take wireless communication technology and Internet of Things technology as the internal driving force to promote the development of multidisciplinary integration of legal teaching, so that wireless communication technology and Internet of Things technology depend on the strategy of legal and multidisciplinary integration teaching, hide in the teaching link, and use wireless communication technology to solve the pain points in the multidisciplinary integration of legal teaching, so as to serve teaching.
Ensemble Tree‐Based Approach to Predict the Rotation Capacity of Wide‐Flange Beams
Authors: Nguyen Thuy-Anh , Ly Hai-Bang
Published: October 2022

The rotation capacity of wide‐flange beams is a mechanical and physical parameter that shows a structural member’s ductility. It is a crucial factor in the plastic design phase of wide‐flange beams, especially useful in extreme circumstances such as earthquakes. This study proposes an approach that facilitates the calculation of the rotation capacity (R) based on a soft computing technique developed using an experimental database accumulated from prior studies. The ensemble decision tree (EDT) model was studied to construct a soft computing model that accurately predicts R based on training and testing datasets. The model’s performance metrics used were well‐known criteria, namely the coefficient of determination (CC), root mean square error (RMSE), as well as mean absolute error (MAE). With CC = 0.925, RMSE of 3.20, and MAE of 2.60, the study’s findings indicate that the EDT model accurately estimates the rotation capacity of wide‐flange steel beams. Furthermore, sensitivity analysis and 2D partial dependence analyses were proposed to determine the effect of the factors that affect R. This work could be a significant step toward determining the R of wide‐flange steel beams and aiding in improving structural member design.
Application of Particle Swarm Algorithm in Nanoscale Damage Detection and Identification of Steel Structure
Authors: Zhang Ying
Published: October 2022

In order to identify the damage of a grid structure, the author proposes a damage identification method for grid structures based on particle swarm optimization. First, using the Modal Assurance Criterion (MAC) and combining the respective advantages of frequency and mode shape in damage identification, a fitness function based on frequency and mode shape is constructed. Second, two test functions are used to compare and analyze, which shows that the improved particle swarm algorithm has better optimization performance. Finally, through an example of a grid structure simulation model, the effectiveness of the proposed method is verified. Three working conditions were set up for damage identification, and the results were analyzed. Results. The particle swarm calculation of case 1 converged in the 53rd generation, and case 2 completed the convergence in the 67th generation, which is consistent with the actual situation. Condition 3 completed the convergence at the 125th generation, indicating that the fitness value has been decreasing until then, and it does not change after the convergence, indicating that the convergence is good. The damage degree of No. 92 member was identified as 95.69%, and the damage degree of No. 105 member was 96.28%. Basically, this is in line with the actual situation. Conclusions. The damage identification method based on the particle swarm algorithm can accurately identify the location and degree of damage.
Optimization of Crashworthiness Parameters of Thin-Walled Conoidal Structures
Authors: Vinayagar K. , Ganeshan P. , Raja P. Nelson , Zakir Hussain M. S. , Kumar P. Vengala , Ramshankar P. , Mohanavel V. , Mathankumar N. , Raja K. , Bezabih Tesfaye Tefera
Published: October 2022

This paper aims to identify the optimum level of factors or parameters that affect the energy absorption of conoidal structures by grey relational examination. To optimize crashworthiness parameters of conical structures, the L9 orthogonal array has been adopted to design the experiments. The tailor-made thin-walled conical structures were fabricated by three most important factors, such as base diameter, height, and thickness, as design variables, and they were subjected to axial compression in a quasi-static method. The important responses of crashworthiness indicators such as the mean crushing force and specific energy absorption (SEA) were calculated with the help of a load-displacement curve. Experimental results showed that the crushing behaviours of conical structures were fairly significant. Grey relational analysis (GRA) and analysis of variance are used toobtain the optimal levels of parameters. From the results, the optimum levels of parameters are found to be a base diameter of 180 mm, a height of 120 mm, and a thickness of 1.5 mm.
Deep Learning-Based Health Management Model Application in Extreme Myopia Eye Vision Monitoring and Risk Prediction
Authors: Huang Zhaoxia , Xu Xue , Cheng Wenhui
Published: October 2022

According to statistics released by the WHO, China has the highest prevalence of myopia in the world, with a frequency that is 1.5 times higher than the global average. Asians have the highest prevalence of myopia worldwide. The Ministry of Education and the State General Administration of Sports “2010 National Student Physical Fitness and Health Research Results” show that the incidence of poor vision among primary and secondary school students in China is 67.3%, and elementary school students’ vision has decreased by 40.9%. Low vision among youth has become a major cause of affecting the quality of the population and improving national physical fitness; therefore, how to improve and enhance the vision level of youth has become a major issue for the government, sports, and educators face as a major issue. In order to address this issue, this research suggests a deep learning-based vision monitoring and risk prediction model for high myopia eyes and develops a deep artificial neural network that unsupervised learns essential characteristics of physiological time-series data.
A Method for Improving the Prediction of Outpatient Visits for Hospital Management: Bayesian Autoregressive Analysis
Authors: Wei Yanling , Li Wen , Tan Jiyong , Yuan Jianhui , Wu Zhihui , Li Yu , Mao Yu’ang , Huang Daizheng
Published: October 2022

The number of outpatient visits is generally influenced by various factors that are difficult to quantify and obtain, resulting in some irregular fluctuations. The traditional statistical methodology seldom considers these uncertainties. Accordingly, this paper presents a Bayesian autoregressive (AR) analysis to propose a forecasting framework to cope with the strict requirements. The AR model was conducted to identify the linear and autocorrelation relationships of historical series, and Bayesian inference was used to correct and optimize the AR model parameters. Posterior distribution of parameters was stably and reliably obtained by Gibbs sampling on the condition of the convergent Markov chain. Meanwhile, the lag orders of the AR model were adjusted based on the series characteristics. To increase the variability and generality of the dataset, the developed Bayesian AR model was evaluated at seven hospitals in China. The results demonstrated that the Bayesian AR model had varying degrees of decline in the MAPE value in the seven sets of experimental data. The reductions ranged from 0.1431% to 0.0342%, indicating effective optimization of the Bayesian inference in the AR model parameters and reflecting the useful correction of the lag order adjustment strategy. The proposed Bayesian AR framework showed high accuracy index and stable prediction accuracy, thereby outperforming the traditional AR model.
Booms and Busts in Chinese Agricultural Markets: An Agent‐Based Model
Authors: Zhang Yu , Deng Xinyi
Published: October 2022

This paper uses agent‐based modelling to study the frequent booms and busts in Chinese agricultural markets. First, an artificial agricultural commodity market consisting of heterogeneous agents, such as producers, consumers, and speculators, is built. A numerical simulation suggests that speculation can cause large price fluctuations via nonlinear price dynamics. Then, parameters are estimated by the simulated method of moments using garlic and ginger price data in China from 2006Q2 to 2018Q3. The estimation yields a statistically significant speculative behavior parameter, supporting speculators’ existence. Based on the well‐estimated model, a low‐cost policy experiment aiming at market stabilization is carried out. The essence of this policy is to release the theoretical steady state of the estimated model as the government‐guided price to producers. The guided price, even partially followed by producers, can reduce simulated price variances and weaken speculators’ negative impact on market stability. Robustness tests show that the effect of policy experiment is robust under a 20% change in any parameter value or a 5% change in the guided price.
DIMDP: A Driving Intention-Based MDP Service Migration Model under MEC/MSCN Architecture
Authors: Ye Lei , Ling Kaiwen , Han Qingwen , Yan Yufei , Zeng Lingqiu , Qi Lingfeng , Lin Li , Zhang Junjun
Published: October 2022

Service migration is one of the key topics of Internet of Vehicles (IoV). MEC (mobile edge computing), which is carried on the roadside unit (RSU), could serve as a service provider and provide a V2I (vehicle to infrastructure) cooperation service. To solve the high migration rate caused by the vehicle’s high mobility feature, MSCN (mobile secondary computing node) framework is defined. To study service migration features under the MSCN framework further, in this paper, road vehicle’s motion features, e.g., driving intention and regional traffic condition, are introduced to construct the Markov decision model, which is used to explain the service migration decision procedure, while DIMDP (driving intention-based MDP) is defined. Corresponding cost functions are defined, while the optimal object is given. A two-way road scenario is selected as a typical scenario. NS3 platform is employed to fulfill the simulation process. Simulation results show that the proposed service migration strategy performs well and is intensive to vehicle density change.