bluuebunny/crossref_metadata_2025 huggingface dataset:
Chlorogenic Acid as a Positive Regulator in LPS-PG-Induced Inflammation via TLR4/MyD88-Mediated NF-κB and PI3K/MAPK Signaling Cascades in Human Gingival Fibroblasts
Authors: Park Chung Mu , Yoon Hyun-Seo
Published: April 2022

Gingival inflammation is one of the main causes that can be related to various periodontal diseases. Human gingival fibroblast (HGF) is the major constituent in periodontal connective tissue and secretes various inflammatory mediators, such as nitric oxide (NO) and prostaglandin E2 (PGE2), upon lipopolysaccharide stimulation. This study is aimed at investigating the anti-inflammatory mechanism of chlorogenic acid (CGA) on Porphyromonas gingivalis LPS- (LPS-PG-) stimulated HGF-1 cells. The concentration of NO and PGE2, as well as their responsible enzymes, inducible NO synthase (iNOS), and cyclooxygenase-2 (COX-2), was analyzed by Griess reaction, ELISA, and western blot analysis. LPS-PG sharply elevated the production and protein expression of inflammatory mediators, which were significantly attenuated by CGA treatment in a dose-dependent manner. CGA treatment also suppressed activation of Toll-like receptor 4 (TLR4)/myeloid differentiation primary response gene 88 (MyD88) and nuclear factor- (NF-) κB in LPS-PG-stimulated HGF-1 cells. Furthermore, LPS-PG-induced phosphorylation of extracellular regulated kinase (ERK) and Akt was abolished by CGA treatment, while c-Jun N-terminal kinase (JNK) and p38 did not have any effect. Consequently, these results suggest that CGA ameliorates LPS-PG-induced inflammatory responses by attenuating TLR4/MyD88-mediated NF-κB, phosphoinositide-3-kinase (PI3K)/Akt, and MAPK signaling pathways in HGF-1 cells.
[Retracted] Value of Defecography in the Diagnostic and Therapeutic Management of the Modified Wells Procedure for Rectal Prolapse
Authors: Du Yangbin , Zhu Jinxin , Li Hailun , Fu Zhiqiang , He Zhenyu
Published: April 2022

The main aim of this study was to explore the role of defecography in the preoperative diagnosis and postoperative evaluation of rectal prolapse surgery (modified Wells procedure). We collected and summarized the X‐ray performance and then analyzed the results of 107 patients with defecatory dysfunction who underwent defecography from January 2020 to March 2021. Furthermore, the preoperative and 6‐month postoperative defecography results and clinical symptoms of 25 patients who underwent rectal prolapse surgery (modified Wells procedure) were compared. Results showed that among the 107 patients with defecation dysfunction, women had worse defecography results than men (P < 0.01). A total of 25 patients successfully completed the surgery without complications such as infection and intestinal fistula and there was no recurrence at 12 months of follow‐up. Compared with the preoperative results, anorectal angle during defecation, the depth of rectocele, and perineal descent were significantly improved after the surgery (P < 0.01). Moreover, the patient’s feeling of obstructed defecation and incomplete defecation was significantly relieved compared to that before the procedure (P < 0.01). In conclusion, defecography can be used to diagnose rectal prolapse preoperatively and evaluate the surgical effect combined with clinical symptoms postoperatively, which provides a clinical reference.
Analysis of the Effects of Humidified High Flow Nasal Oxygen Therapy Combined with Noninvasive Mechanical Ventilation on Treatment Outcomes
Authors: Wang Hongjun , Ma Dawen , Hu Jingjing , Chu Qingxia
Published: April 2022

Objective. To investigate the effects of humidified high flow nasal cannula (HFNC) oxygen therapy combined with noninvasive mechanical ventilation (NIV) on blood gas indexes, complications, and respiratory function in patients with AECOPD. Method. 100 patients with AECOPD admitted to the Department of Respiratory and Critical Medicine of Pukou District Central Hospital of Nanjing from March 2020 to February 2021 were selected. The patients were randomly divided into study group (50 cases) and control group (50 cases); both groups were given routine treatment such as bronchodilators, low-dose glucocorticoids, and antibiotics. During the treatment, the vital signs, inflammatory response indexes, fluid balance, and nutrition were continuously monitored; the body position was changed every 2 hours; and the curative effect was evaluated one week after treatment. On this basis, the control group received routine oxygen therapy combined with NIV (low flow conventional oxygen therapy + NIV), and the study group received HFNC combined with NIV (HFNC + NIV). The oxygen partial pressure (PaO2), peak expiratory flow rate (PEFR), arterial oxygen saturation (SaO2), first-second forced expiratory volume (FEV1), and mixed venous oxygen saturation (SvO2) level were compared between the two groups before and after treatment. Moreover, SECS scores before ventilation and 2, 4, 6, and 12 hours after ventilation were collected and analyzed. In addition, complications during oxygen therapy were compared. Result. Before treatment, there was no significant difference in the levels of PaCO2, FEV1, SaO2, PEFR, and SvO2 between the two groups (

P
>
0.05

). After treatment, the levels of PaCO2 in the study group were lower than those in the control group, and the levels of FEV1, SaO2, PEFR, and SvO2 in the study group were higher than those in the control group

P
<
0.05

(

P
<
0.05

). There was no significant difference in SECS scores between the two groups before ventilation and 2 hours after ventilation (

P
>
0.05

). The SECS scores of the study group at 4, 6, and 12 hours after ventilation were higher than those of the control group

P
<
0.05

(

P
<
0.05

). The total complication rate in the study group (8.00% vs. 24.00%) was lower than that in the control group (

P
<
0.05

). Compared with low flow conventional oxygen therapy, NIV combined with HFNC can effectively reduce the incidence of complications in AECOPD patients during oxygen therapy, improve patients' ventilation comfort, and effectively improve blood gas indexes and respiratory function, with simple operation and high safety, which is worthy of clinical promotion and application.
Abdominal Obesity Is Associated with an Increased Risk of All-Cause Mortality in Males but Not in Females with HFpEF
Authors: Fu Liyao , Zhou Ying , Sun Jiaxing , Zhu Zhaowei , Tai Shi
Published: April 2022

Background. Association between abdominal obesity and development of heart failure (HF) with preserved ejection fraction (HFpEF) between the sexes is not completely understood. Objectives. This study evaluated the association between abdominal obesity and the risk of all-cause mortality in patients with HFpEF while performing a gender outcome comparison. Methods. A post hoc analysis was undertaken from the American cohort of the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT). The primary outcome (all-cause mortality) and the secondary outcomes (cardiovascular mortality, hospitalization for HF, stroke, and MI) were evaluated via Cox proportional hazards models to compare the hazard ratios (HRs) between sexes in HFpEF patients. Abdominal obesity was defined as a waist circumference of ≥102 cm in men and ≥88 cm in women. Results. A total of 3320 HFpEF patients (1620 men [48.80%] and 1700 women [51.20%]) were included in the analysis. The mean follow-up period was

3.4
±
1.7

years, with 503 patients dying during that time. After multivariable adjustment, abdominal obesity was significantly associated with an increased risk of all-cause mortality in males (adjusted HR: 1.32; 95% confidence interval [CI]: 1.02 to 1.71;

p
=
0.038

). Abdominal obesity was associated with hospitalization for HF in both male (adjusted HR: 1.39; 95% CI: 1.01 to 1.93;

p
=
0.045

) and female patients (adjusted HR: 1.15; 95% CI: 1.18 to 3.28;

p
=
0.010

). Conclusions. Abdominal obesity is associated with increased risks of all-cause mortality in the male but not the female HFpEF population and is associated with increased risks of hospitalization for HF in both sexes.
A Case Series of Diverse Cardiac Abnormalities in Collegiate Athlete with COVID-19: Role for Multimodality Imaging
Authors: Turpin Vanessa-Rose G. , Goerl Kyle , Chow Chen Hoe , Ade Carl J.
Published: April 2022

Introduction. Since the COVID-19 pandemic there is concern for subclinical cardiac pathology in the absence of clinical symptoms in collegiate athletes, we present 4 cases of abnormal left ventricular global longitudinal strain (LVGLS), a “red-flag” for potential COVID-19 myocardial disease, following diagnosis with diverse abnormalities reported via multimodality imaging weeks into recovery. Methods. Cardiac imaging studies consisting of transthoracic echocardiography (TTE) and cardiovascular magnetic resonance imaging (CMR) were performed 10 days post-COVID-19 diagnosis and several weeks into recovery. Results. Initial TTE revealed abnormal left ventricular global longitudinal strain (LVGLS), an identified “red-flag” for potential COVID-19 myocardial disease. Further CMR imaging revealed potential recent/prior myocarditis in 1 athlete. Follow-up TTE several weeks later revealed a return to normal LVGLS. Conversely, 2 cases with normal CMR imaging had a LVGLS that remained abnormal >30 days into recovery. Conclusions. These individual cases highlight the substantial differences in echocardiographic and CMR abnormalities between athletes with confirmed COVID-19.
Direct Sourcing from Renewable Energy under Cost Uncertainty: A Bargaining Approach
Authors: Tao Biao , Cao Gangcheng , Sun Tianxu
Published: April 2022

Sourcing electricity from renewable energy suppliers becomes critical to improving renewable energy penetration. However, the common problem of bilateral bargaining between an electricity retailer and renewable energy supplier has rarely been studied in the literature. Considering the uncertainty of renewable generation cost, we introduce the incentive contract theory and signalling game to examine how the electricity procurement contract is designed in a Rubinstein bargaining framework. We derive the corresponding equilibrium outcomes depending on the renewable supplier’s generation cost uncertainty. The results show that if the possibility of a high generation cost is large, the retailer provides contracts for the renewable supplier of both high and low generation costs to achieve the simultaneous separating equilibrium; otherwise, he only proposes the contract for supplier with a low generation cost to achieve the sequential separating bargaining. Our work demonstrates that the proposed incentive contracts urge the renewable supplier to reveal the private information of generation cost and prevent the retailer’s profit deviation due to the adverse selection.
Baicalein Inhibits the SMYD2/RPS7 Signaling Pathway to Inhibit the Occurrence and Metastasis of Lung Cancer
Authors: Gu Lin , Xu Feng , Zhang Xiaoli , Gu Zhihui
Published: April 2022

Objective. This study investigated the potential effects of Baicalein on proliferation, migration, and invasion of human lung cancer A549 and NCI-H1299 cells and its possible mechanisms. Methods. The effects of Baicalein on proliferation and invasion of A549 and NCI-H1299 cells were detected by MTT assay, clonogenesis assay, and Transwell assay. A subcutaneous transplanted tumor model was used to evaluate the effects of SMYD2 and Baicalein on the proliferation of lung cancer. Baicalein inhibited in SMYD2/RPS7 signaling pathway in tumor cells was also detected by qRT-PCR. Results. Baicalein significantly inhibited the growth of lung cancer cells. In addition, Baicalein significantly reduced the rate of A549 and NCI-H1299 cell invasion and clone formation in a dose-dependent manner. Animal experiments showed that both SMYD2 and Baicalein treatments could inhibit lung cancer tumor proliferation. Mechanism studies suggest that Baicalein inhibits the SMYD2/RPS7 signaling pathway. Conclusion. These results indicated that Baicalein could inhibit the proliferation, migration, and invasion of LUNG cancer A549 and NCI-H1299 cells. Baicalein inhibits cell proliferation by downregulating the SMYD2/RPS7 signaling pathway.
The Effect of the Integrated Chinese and Western Medicine for the Treatment of Parkinson’s Disease: A Meta-Analysis
Authors: Wang Zengmian , Wang Tianshu , Sheng Baoying , Song Weidong , Ji Pengcheng
Published: April 2022

Objective. Traditional Chinese medicine (TCM) has been used to treat Parkinson’s disease (PD), but the efficacy is still not clear. The aim of this study was to evaluate the effect of the integrated Chinese and Western medicine (ICWM) for PD through a meta-analysis. Methods. We searched randomized controlled trials comparing integrated Chinese and Western medicine (ICWM) versus conventional Western medicine (CWM) for Parkinson’s disease. Data were extracted from eligible studies. We sought to evaluate pretreatment and posttreatment symptoms of PD patients and their quality of life and reduce adverse reactions. The results were expressed as risk ratio (RR) and mean difference (MD) with accompanying 95% confidence intervals. Results. Twenty-three studies were included in this study with a total of 1769 patients. The pooled results revealed that ICWM significantly improved the UPDRS score than CWM, the MD of UPDRS-I, II, III, and IV was -1.05 (95% CI: -1.42 to -0.69,

P
<
0.00001

), -2.55 (95% CI: -3.19 to -1.90,

P
<
0.00001

), -3.64 (95% CI: -4.69 to -2.60,

P
<
0.00001

), and -0.61 (95% CI: -0.96 to -0.27,

P
=
0.0004

), respectively, and ICWM also had a better score of PDQ-39 (

MD
=
−
8.71

, 95% CI: -13.52 to -3.90,

P
=
0.0004

) and MoCA scores (

MD
=
3.35

, 95% CI: 1.65 to 5.04,

P
=
0.0001

) compared with CWM. ICWM had certain advantages in terms of effective rate (

RR
=
1.27

, 95% CI: 1.18 to 1.37,

P
<
0.00001

) and adverse reactions (

RR
=
0.21

, 95% CI: 0.13 to 0.36,

P
<
0.00001

). Conclusion. Our research supported that ICWM had important health benefits for patients with PD and can effectively improve the symptoms of PD patients and their quality of life and reduce adverse reactions. Due to the lower quality of the included studies, large sample and multicenter randomized control test should be performed to verify our conclusions.
Remote Sensing Satellite Image-Based Monitoring of Agricultural Ecosystem
Authors: Wang Ningjun , Liu Tiantian , Tang Xueying , Yuan Qinglie
Published: April 2022

In the agricultural ecosystem, it is necessary to grasp the differences of soil fertility and crop growth in time and space. With the rapid development of remote sensing and its popularization and application in social production practice, remote sensing has become a new way to obtain farmland information. At present, remote sensing means in the field of agroecosystem monitoring mainly include satellite remote sensing and unmanned aerial remote sensing. It can monitor and manage the agro-ecosystem environment in real time by acquiring remote sensing images. It can monitor the growth and identification of crops, pests, and diseases, and water supply, analysis timely, and effectivity for the spatial information provided by a feedback processing. But its performance needs to be improved. In this paper, the imaging methods and main features of remote sensing images are introduced in order to analyze the characteristics of agricultural ecosystem targets in remote sensing images. Then, based on object-oriented classification technology, a series of farmland images are preprocessed, segmented, and sparsely represented. Processing operations are used to study how to transform crop observation into crop and noncrop discrimination in remote sensing data. The research shows that the effective acquisition of crop image area and the remote sensing monitoring of crop farmland area can be achieved by processing the crop field map image obtained by remote sensing.
lncRNA CDKN2B-AS1 Could Be an Indicator to Identify Prognosis and Status of Immune Microenvironment in Thyroid Cancer
Authors: Xue Cheng , Yi Cheng , Lin Haiyang , Zhao Jiajia , Yuan Junhui , Chen Yongzheng , Chen Haibing , Lin Li , Zhao Yisha
Published: April 2022

Thyroid cancer (TC) is prone to recurrence, and biomarkers for predicting progression-free interval (PFI) are poorly explored. The study investigates the predictive value and underlying biological mechanisms of lncRNA CDKN2B-AS1 in TC. Combining RNA-seq and survival data, we identified that CDKN2B-AS1 was upregulated in TC samples and could be an excellent prognostic indicator. To exclude confounding factors, we divided patients into different subgroups using median CDKN2B-AS1 expression, and the effects of CDKN2B-AS1 on PFI and clinical features were explored in different clinical subgroups. Meanwhile, ssGSEA and ESTIMATE algorithms revealed that CDKN2B-AS1 overexpression may suggest the active state of the immune microenvironment. On the other hand, enrichment analysis also proved the potential influence of CDKN2B-AS1 on immune regulation in TC. Finally, we created a CDKN2B-AS1, microRNAs, and TFs network and discovered a new biomarker (CDKN2B-AS1) that might be employed as a therapeutic target in TC patients.
Comprehensive Review on Misbehavior Detection for Vehicular Ad Hoc Networks
Authors: Xu Xiaoya , Wang Yunpeng , Wang Pengcheng
Published: April 2022

Vehicular ad hoc networks (VANETs) can increase road safety and comfort. It needs strong demand for security because the data sent in VANETs influence vehicles’ behavior. Existing studies have summarized VANET security, challenge, and attacks. This study aims to present a comprehensive overview of misbehavior detection in VANETs. First, VANET characteristics, security issues, and attacks are discussed. Then, the precise definition of misbehavior, detection mode, and detection objects are presented. Generic misbehavior detection is classified as data-centric and node-centric. In this study, to adapt to the VANETs scenario, we proposed a novel taxonomy of misbehavior detection, which considers the interaction between vehicles and which is refined by emphasizing the detection modes and participants. Finally, the remaining concerns, open issues, and prospective future research directions are discussed.
Studies on Mechanical Attrition and Surface Analysis on Heat-Treated Nickel Alloy Developed through Additive Manufacturing
Authors: Raj B. Anush , Jappes J. T. Winowlin , Khan M. Adam , Dillibabu V. , Jesudoss Hynes N. Rajesh
Published: April 2022

In this paper, the nickel-based superalloy SU718 is developed through the Direct Metal Laser Sintering (DMLS), an additive manufacturing process. Further, the material has been focused to study the effect of heat treatment and abrasive particle erosion. Two different heat treatment (HT) cycles are planed with ageing and annealing to enrich the metallurgical quality of the DMLS processed SU718 alloy. The heat treatment is performed with two different combinations of temperatures for annealing/solutionizing followed by ageing to improve the metallurgical properties. The influence of heat treatment on additively manufactured IN718 is imparting variations in the hardness, microstructure, and erosion resistance. Vickers hardness for as built, HT 1, and HT 2 of DMLS alloy is 264.15, 385.55, and 352.43 Hv; which has been increased for 45% for HT 1 and 33% for HT 2 from the as built DMLS alloy. After solutionizing, the grains are refined within the track boundary and the majority of the grains are homogenized. The air jet erosion test arrangement is used to conduct the study at a velocity of 250 m/s and impact angle of 90° at room temperature. The hardness of the treated samples has taken vital role to resist the erosion. The rate of erosion is higher for bare DMLS alloy whereas HT 1 has low erosion rate when compared with HT 2 and bare DMLS alloy. The erosion morphology of the samples was carried out by SEM images, and erosion mechanism is discussed. The ploughing and microcutting were found in all the impact angles, whereas erodent impingement is found in the bare DMLS alloy in additional. The good erosion resistance is observed for HT 1 DMLS alloy in all the impact angles.
Texture Image Compression Algorithm Based on Self-Organizing Neural Network
Authors: Han Jianmin
Published: April 2022

With the rapid development of science and technology, human beings have gradually stepped into a brand-new digital era. Virtual reality technology has brought people an immersive experience. In order to enable users to get a better virtual reality experience, the pictures produced by virtual skillfully must be realistic enough and support users' real-time interaction. So interactive real-time photorealistic rendering becomes the focus of research. Texture mapping is a technology proposed to solve the contradiction between real time and reality. It has been widely studied and used since it was proposed. However, due to limited bandwidth and memory storage, it brings challenges to the stain dyeing of many large texture images, so texture compression is introduced. Texture compression can improve the utilization rate of cache but also greatly reduce the pressure on data transmission caused by the system, which largely solves the problem of real-time rendering of realistic graphics. Due to the particularity of texture image compression, it is necessary to consider not only the quality of texture image after compression ratio and decompression but also whether the algorithm is compatible with mainstream graphics cards. On this basis, we put forward the texture image compression method based on self-organizing mapping, the experiment results show that our method has achieved good results, and it is superior to other methods in most performance indexes.
Mechanism of Jujube (Ziziphus jujuba Mill.) Fruit in the Appetite Regulation Based on Network Pharmacology and Molecular Docking Method
Authors: Zhu Yu , Huang Ju , Shen Tao , Yue Rensong
Published: April 2022

Objective. To investigate the mechanism of jujube (Ziziphus jujuba Mill.) in appetite regulation based on network pharmacology. Methods. The active components and action targets of jujube were retrieved through the TCMSP and TCMID databases. GeneCards, DisGeNet, Therapeutic Target Database, and OMIM were used to screen the related targets for appetite, appetite suppression, and appetite regulation, and the intersection target of the two was selected. A protein‐protein interaction (PPI) network was constructed. Important protein nodes and subnets were predicted based on the cytoHubba plug‐in, and the hub gene was screened. Additionally, GO and KEGG pathway analyses were performed to obtain potential biological processes and signaling pathways of key targets. And the active ingredient‐target‐action pathway diagram was constructed. Results. A total of 16 active components were screened from jujube, including 131 action targets related to appetite and appetite regulation. Three key targets (MAOA, MMP2, and HSPB1) were screened out by MCODE analysis. KEGG enrichment analysis was mainly enriched in neuroactive ligand‐receptor interaction, serotonin‐containing synapse, gap junction, cAMP signaling pathway, and dopaminergic synapse. Molecular docking results showed that the components coclaurine, (−)‐catenin, (+)‐stepholidine, berberine, cianidanol, coclaurine, and moupinamide in jujube had strong binding activity to the main targets (ESR1, ADRA2C, and MMP2). Conclusion. Based on network pharmacology, the appetite modulating effects of jujube on multiple components, targets, and channels were explored, and the main active components of jujube were predicted to act on multiple signaling pathways to regulate appetite. The molecular docking results showed that the components in jujube had strong binding activity to the main targets, which provided new ideas and methods to further investigate the mechanisms of appetite regulation by jujube.
Expression Recognition of Classroom Children’s Game Video Based on Improved Convolutional Neural Network
Authors: Li Xiaohong
Published: April 2022

Humans express emotions in many ways, such as gestures, limbs, and expressions. Among them, facial expressions are the most intuitive way to express human inner emotional activities in human-to-human communication. With the rapid development of computer vision, facial expression recognition is an important research topic in the field of computer vision. It plays a key role in nonverbal communication and can be applied to human-computer interaction, social robotics, video games, and other fields. Traditional expression recognition algorithms require complex manual feature extraction, which takes a long time, and the accuracy of expression recognition in complex scenes is not high. However, with the development of deep learning, especially the convolutional neural network, facial expression recognition technology has also developed rapidly, and the recognition accuracy has been greatly improved. This paper studies the facial expression recognition method of classroom children’s game video based on convolutional neural network and proposes a convolutional neural network with deeper layers. The full connection is modified to 4 layers of convolution, 4 layers of pooling, and 2 layers of full connection. Firstly, the facial expression image is preprocessed by, for example, key point location, face cropping, and image normalization; then, the convolutional layer is used to extract the low-dimensional and high-dimensional feature information of the face image; and the pooling layer is used to extract the face image. The feature information is dimensionally reduced. Finally, the softmax classifier is used to classify and recognize the expressions of the training sample images. In order to improve the accuracy of expression recognition, a self-made set of labeled pictures was added to the expression training set. Simulation and comparison experiments show that the improved model has higher accuracy and smoother loss curve, which verifies the effectiveness of the improved network.
Investigation on Solar-Powered Electrocoagulation (SPEC) for the Treatment of Domestic Wastewater (DWW)
Authors: Muniasamy Senthil Kumar , Gameda Tariku Tadesse , Mallaian Lenin Sundar , Rengaraju Ilango , Segaran Jeyasudha , Periyasamy Yuvarani , Murugesan Palpandian , Subramanian Suthagar
Published: April 2022

Solar-powered electrocoagulation (SPEC) was used for the treatment of domestic wastewater by using aluminum electrodes. As a single-unit process for treating household wastewater, the EC is solar-powered. The aim of this research was the removal of chemical oxygen demand (COD), TDS, and turbidity by SPEC. Optimization of various operating parameters such as pH, voltage/current, electrode gap, and pollutant concentration was first performed using direct electrical current. By using batteries and charge controllers with panels, the SPEC reactor has achieved consistent and efficient performance. The effects of COD, turbidity, and TDS exclusion of functioning parameters such as density (8–40 A/m2) and detention time (5–30 min) were examined. The COD reduction was 85%, and removal efficiency of TDS and turbidity was 70.18% and 87.4%. The results have shown the technical feasibility of SPEC design as a potential method for domestic wastewater treatment by electrocoagulation. Further analytical study of sludge was also performed by FTIR and XRD analysis.
Brand LOGO Image Recognition and Inquiry Creative Teaching Design Based on Deep Learning
Authors: Gao Xin , Chen Wenjing
Published: April 2022

In order to develop more reasonable and scientific teaching equipment and software and improve the diversity of teaching process, LOGO image recognition technology is used to build a development environment in experiment, with Unity 3D as the development platform and Vuforia AR SDK as the development tool. LOGO image recognition technology is applied to the case study of high school inquiry teaching. By the way of classroom teaching practice and teacher-student interview, the application effect of LOGO image recognition technology in teaching is evaluated, and the effectiveness of this technology in inquiry teaching practice is verified by practical data. The results show that compared with YOLO (You Only Look Once), R-CNN (Region-CNN), and Faster R-CNN, image recognition algorithms based on deep learning theory, LOGO image recognition ability is stronger and the result is more accurate. Using this teaching mode can significantly improve students’ academic performance, and this method is correct, reasonable, and scientific. The application of LOGO image recognition technology based on deep learning in teaching can provide research ideas for the combination of AI and education.
Research on Door-Opening Strategy Design of Mobile Manipulators Based on Visual Information and Azimuth
Authors: Chen Chunchao , Liu Yi
Published: April 2022

At present, the manipulator has become an important auxiliary tool in the production and processing operations, so new requirements are put forward for the control strategy of the manipulator. In production, because traditional manipulators can only perform tasks according to the set procedures and cannot fully realize the intelligence and collaboration of control, how to improve the operating efficiency of manipulators has become an urgent problem to be solved. The autonomous door-opening control of robots is a challenging research topic in the field of automation. In the robot movement, target recognition and positioning and the coordinated control of manipulators and mobile platforms are difficult points in the research of autonomous door-opening control. Through the research on autonomous door-opening control, the robot has a broader working space, which greatly improves the robot’s ability to serve humans and has important theoretical value and practical significance.
Giant Nonfunctioning Parathyroid Cyst: A Case Report and Review of the Literature
Authors: Cleere Eoin F. , Corbett Mel , Quinn Anne-Marie , Subramaniam Thavakumar
Published: April 2022

Parathyroid cysts are a rare clinical entity that may arise in the neck or mediastinum. They are more common in women and generally present in the fourth and fifth decades of life. Diagnosis of parathyroid cysts is challenging, and despite thorough radiological and cytological investigation, they are often mistaken for thyroid pathology. Definitive diagnosis is often only confirmed following complete surgical resection and histopathological analysis. We present the case of a woman who was referred to our outpatient clinic with a left-sided neck mass and associated compressive symptoms. Initial examination and investigation appeared consistent with a large thyroid nodule. Following surgical resection, the lesion was found to be a parathyroid cyst. Subsequently, we review the available literature on parathyroid cysts with particular emphasis on the diagnostic challenge they pose to clinicians.
Key Technology Research on the Rapid-Molding In-Closed Retaining-Wall in Filling Mining
Authors: Hu Chaowen , Li Qian , Wang Yilong , Chang Ke , Li Yongyuan , Wang Yaqian , Liu Hui
Published: April 2022

Filling mining is a main technology of mining coal resources under buildings, and it has a good effect on preventing ground subsidence. Taking Wangtaipu coal mine of the Shanxi Jincheng Anthracite Coal Mining Group as the engineering background, in order to solve the problem of traditional closed brick wall at the end of working face, which consumes a lot of manpower and material resources, and low efficiency, a technology of rapid-molding in-closed retaining-wall was proposed. Through theoretical analysis and engineering analogy, the overall structure and size of the mold bag were designed. Through the experiment of high-water bleeding rate and slurry expansion, it was determined that the best water-cement ratio was 0.85 : 1, and the best additive content was 25 kg/m3. Taking economic factors into consideration, it was determined that liquid sodium silicate was used as the admixture. The XV2308 working face was selected for on-site testing and the on-site monitoring of the roof pressure, the roadway deformation, and the stress of the coal body. The results showed that there was no large area roof pressure on the working face, the coal body was under stable force, the stress concentration coefficient was small, the coal pillar had no plastic failure, and the roadway deformation was small. Through on-site monitoring of ground subsidence, the results showed that the amount of ground movement and deformation were small. The maximum value of subsidence was 12 mm, which could meet the requirements of safety production and had significant economic benefits.
A Simulation Study for Lateral Stability Control of Vehicles on Icy Asphalt Pavement
Authors: Zhu Yunsheng , Li Huacong , Wang Kaifeng , Bao Yunhan , Zeng Peng
Published: April 2022

Black ice is an ice layer formed by freezing rain or accumulated water on the asphalt pavement surface in cold weather. This ice layer completely shields the texture structure of the pavement and destroys the original microstructure. The direct contact between the automobile tire and the ice surface leads to a sharp decrease in the adhesion coefficient, so the automobile is prone to lateral instability on the icy pavement. In this paper, the simulation model of the icy pavement is established in Matlab/Simulink to verify the control effect of the lateral stability controller based on the Electronic Stability Program under two steering limit conditions. The results show that the vehicle without a lateral stability controller will lose stability and sideslip even when it is steering at low speed on the icy pavement, and the lateral stability controller can effectively control the yaw rate of the vehicle when it is steering, which greatly reduces the offset of the sideslip angle of the centroid and inhibits the lateral acceleration exceeding the ice surface limit, which improves the maneuverability and stability of the vehicle under the freezing limit condition. The application of the controller is of great significance to improve the driving safety of the regional asphalt pavement. Due to the low adhesion coefficient of the icy pavement and the limited braking force and additional yaw moment of the tire provided by the adhesion force, the vehicle with a lateral stability controller is still likely to lose stability under the critical condition of medium or high-speed single shift line.
An Entropy Weight‐TOPSIS Based Model for Partner Selection of Strategic Alliance of Prefabricated Construction Enterprises
Authors: Guo Bin , Hao Shengyue , Zhang Yi , Cao Guangmei , Gao Honghu , Zhang Mingyang
Published: April 2022

Selecting the right partner is a key factor for the successful construction of the strategic alliance of prefabricated construction enterprises in China. Based on the summarization of domestic and foreign studies, combined with the characteristics of the strategic alliance of prefabricated construction enterprises, the paper has constructed an evaluation indicator system of the partner selection of the strategic alliance of prefabricated construction enterprises in China. The paper also has conducted an empirical study on the evaluation model of partner selection of the strategic alliance of prefabricated construction enterprises in China by using the method Entropy Weight‐TOPSIS. The research results show that the ﬁve most inﬂuential second‐level indicators are commercial housing sales capability, property management capability, commitment of capital, commitment of talents, and product innovation capability. The model constructed in the paper can comprehensively evaluate and select the strategic alliance partners of prefabricated construction enterprises in China.
The Effect of Endoscopy on Patients with Malignant Esophageal Cancer after Medical Treatment and Chemotherapy
Authors: Liu Yu , Zhao Lingqiong , Tan Xingping , Liu Nana , Long Teng
Published: April 2022

The esophagus is one of the most commonly used parts in a person’s life, and its importance is self-evident. With the unhealthy food diet, people are more and more likely to suffer from esophageal cancer, and there is an urgent need for breakthroughs in the treatment of esophageal cancer. This article is aimed at studying the effects of medical treatment and chemotherapy for patients with malignant esophageal cancer. To this end, this article proposes a treatment method based on endoscopy and improves the image imaging of the endoscopy and the image quality of the image and the edge processing of the image. At the same time, this article designs an experiment to conduct statistical analysis of the situation during the treatment process. The experimental results in this article show that the improved treatment method has a 21% increase in success rate compared with the existing treatment method. And the optimized image quality has increased by 27%. It can very well help the attending doctor to improve the efficiency of treatment in the actual treatment process. Its most important contribution is that through the edge optimization and image enhancement processing technology, the success rate of endoscopic treatment has been better improved, and the treatment efficiency has also been improved.
Analysing Hate Speech against Migrants and Women through Tweets Using Ensembled Deep Learning Model
Authors: Hasan Asif , Sharma Tripti , Khan Azizuddin , Hasan Ali Al-Abyadh Mohammed
Published: April 2022

Twitter’s popularity has exploded in the previous few years, making it one of the most widely used social media sites. As a result of this development, the strategies described in this study are now more beneficial. Additionally, there has been an increase in the number of people who express their views in demeaning ways to others. As a result, hate speech has piqued interest in the subject of sentiment analysis, which has developed various algorithms for detecting emotions in social networks using intuitive means. This paper proposes the deep learning model to classify the sentiments in two separate analyses. In the first analysis, the tweets are classified based on the hate speech against the migrants and the women. In the second analysis, the detection is performed using a deep learning model to organise whether the hate speech is performed by a single or a group of users. During the text analysis, word embedding is implemented using the combination of deep learning models such as BiLSTM, CNN, and MLP. These models are integrated with word embedding methods such as inverse glove (global vector), document frequency (TF-IDF), and transformer-based embedding.
Factors Influencing the Acceptance of Robo-Taxi Services in China: An Extended Technology Acceptance Model Analysis
Authors: Liu Mingyu , Wu Jianping , Zhu Chunli , Hu Kezhen
Published: April 2022

With the development of autonomous driving technologies, robo-taxis (shared autonomous vehicles) are being tested on real roads. In China, in particular, people in some cities such as Beijing and Shanghai can book a robo-taxi online and experience the service. To examine the influential factors on user acceptance of robo-taxi services, this study proposes and employs an extended technology acceptance model (TAM) with four external factors: perceived trust, government support, social influence, and perceived enjoyment. Data were collected through an online questionnaire in China, and responses from 403 respondents were analyzed using structural equation modeling. Both typical TAM factors—including perceived ease of use, perceived usefulness, and attitude—and external factors were found to play significant roles in predicting users’ intention to use robo-taxis. The four external factors influenced the user acceptance indirectly via typical TAM factors. Improving users’ perceived trust is important for increasing public adoption. A greater emphasis by manufacturers on safety concerns, wider dissemination of information on data protection and safety systems, and government support through incentives for manufacturers and users can help improve public adoption of robo-taxi services.
The Challenges of Identifying Fibromyalgia in Adolescents
Authors: Peterson Elisha E. , Yao Caylynn , Sule Sangeeta D. , Finkel Julia C.
Published: April 2022

Aim. Fibromyalgia (FM) is a noninflammatory disorder of the nervous system characterized by widespread musculoskeletal pain and somatic complaints of at least 3 months duration. There are no current diagnostic criteria for fibromyalgia in children to guide clinicians in recognition, thus leading to many subspecialty referrals and extensive imaging and tests. The purpose of this retrospective review is to compare two diagnostic criteria for juvenile fibromyalgia. Methods. A retrospective chart review of 20 children diagnosed with juvenile fibromyalgia from a singular pain physician practice was performed. Both the Yunus diagnostic criteria and the 2016 American College of Rheumatology (ACR) diagnostic criteria were applied and compared. Results. 85% of patients met criteria for fibromyalgia under both criteria. 15% of patients met only ACR criteria as the Yunus criteria excluded those with underlying conditions. Of the children who fulfilled criteria with use of both diagnostic tools, this cohort reported a high somatic symptom burden as demonstrated by the ACR symptom severity scales of 12 and satisfaction of at least 4 Yunus and Masi minor criteria on average. Widespread pain was noted with an ACR Widespread Pain Index (WPI) of 7, and tender points were 4.8 on average across the cohort. Effective therapeutic regimens among patients varied widely from medical monotherapy to multimodal treatment. Patients presented with pain for 1.8 yrs on average prior to a diagnosis. All of the cohort had a normal laboratory evaluation; half the cohort received additional imaging and testing. Conclusion. This case series suggests the need for an updated diagnostic tool for pediatric fibromyalgia to facilitate recognition and treatment.
Anti-DDI Resource: A Dataset for Potential Negative Reported Interaction Combinations to Improve Medical Research and Decision-Making
Authors: Assiri Abdullah , Noor Adeeb
Published: April 2022

Potential drug-drug interactions (DDIs) are a core concern across medical decision support systems. Among healthcare practitioners, the common practice for screening these interactions is via computer software. However, as real-world negative reporting is missing, counterexamples that serve as contradictory evidence may exist. In this study, we have developed an anti-DDI resource, a set of drug combinations having negative reported interactions. This resource was created from a set of the top 200 most-used drugs, resulting in 14365 prospective negative reported DDI pairs. During analysis and filtering, 2110 DDIs (14.69%) were found in publicly free DDI resources, another 11130 (77.48%) were filtered by a rule-based inference engine incorporating ten mechanisms of interaction, and 208 were identified through commercial resources. Additionally, 90 pairs were removed due to recent FDA approvals or being unapplicable in clinical use. The final set of 827 drug pairs represents combinations potentially having negative reported interactions. The anti-DDI resource is intended to provide a distinctly different direction from the state of the art and establish a ground focus more centered on the evaluation and utilization of existing knowledge for performing thorough assessments. Our negative reported DDIs resource shall provide healthcare practitioners with a level of certainty on DDIs that is worth investigating.
Ketamine Does Not Change Natural Killer Cell Cytotoxicity in Patients Undergoing Cancer Surgery: Basic Experiment and Clinical Trial
Authors: Kubota Mirei , Niwa Hidetomo , Seya Kazuhiko , Kawaguchi Jun , Kushikata Tetsuya , Hirota Kazuyoshi
Published: April 2022

Background. The natural killer cell cytotoxicity (NKCC) suppressed by nociceptive stimuli, systemic inflammation, and drugs used during cancer surgery may be associated with poor outcomes. We investigated the potential modulation of ketamine on NKCC in vitro and in a clinical setting during cancer surgery. Subjects and Methods. The NK cell line KHYG1 was cultured for the in vitro experiments. The NK cells were treated with 3 and 10 μM ketamine (the ketamine groups) or without ketamine (the control) for 4, 24, and 48 h. The posttreatment NKCC was measured with a lactate dehydrogenase assay and compared among the treatment groups. For the clinical study, lung cancer patients (

n
=
38

) and prostate cancer patients (

n
=
60

) who underwent radical cancer surgeries at a teaching hospital were recruited. The patients received propofol and remifentanil superposed with or without ketamine (ketamine group,

n
=
47

; control group,

n
=
51

). The primary outcome was the difference in NKCC between these groups. Results. In the in vitro experiment, the cytotoxicity of NK cells was similar with or without ketamine at all of the incubation periods. The patients’ NKCC was also not significantly different between the patients who received ketamine and those who did not, at the baseline (

36.6
±
16.7

% vs.

38.5
±
15.4

%,

p
=
0.56

) and at 24 h (

25.6
±
12.9

% vs.

27.7
±
13.5

%, respectively,

p
=
0.49

). Conclusion. Ketamine does not change NKCC in vitro or in the clinical setting of patients who undergo cancer surgery. This trial is registered with UMIN000021231.
Evaluation of Water Inrush Risk in Deep Mines Based on Variable Weight and Unascertained Measure Theories and GIS
Authors: Li Meiyan , Nie Ruiai , Zhao Jiyuan , Shen Jianjun , Fu Yingjun
Published: April 2022

Water inrush is a serious geological disaster in deep coal mining and rock engineering in China. The occurrence of water inrush is affected by the interaction of many controlling factors in underground reservoir areas. In order to improve the accuracy of water inrush risk evaluation, the changes in index weights due to the change in influencing factors and the uncertain factors should be both considered. In this study, an evaluation model that integrates variable weight and unascertained measure (VWUM) theories was established. First, a modified credible degree recognition was established to make the evaluation results represent both the evaluation grade and the difference in the degree to which the indexes belong to the same grade. Then, the VWUM model was established by coupling the variable weight, unascertained measure, modified credible degree recognition, and geographic information system (GIS). Last, the VWUM model is applied to a case study to evaluate water inrush risk. Results indicates that more detailed risk grades and their spatial distribution zones can be obtained by the VWUM model compared with those obtained by the water inrush coefficient. The VWUM model can provide a more accurate evaluation result.
[Retracted] Fluorescent Carbon Dot‐Supported Imaging‐Based Biomedicine: A Comprehensive Review
Authors: Phan Le Minh Tu , Cho Sungbo
Published: April 2022

Carbon dots (CDs) provide distinctive advantages of strong fluorescence, good photostability, high water solubility, and outstanding biocompatibility, and thus are widely exploited as potential imaging agents for in vitro and in vivo bioimaging. Imaging is absolutely necessary when discovering the structure and function of cells, detecting biomarkers in diagnosis, tracking the progress of ongoing disease, treating various tumors, and monitoring therapeutic efficacy, making it an important approach in modern biomedicine. Numerous investigations of CDs have been intensively studied for utilization in bioimaging‐supported medical sciences. However, there is still no article highlighting the potential importance of CD‐based bioimaging to support various biomedical applications. Herein, we summarize the development of CDs as fluorescence (FL) nanoprobes with different FL colors for potential bioimaging‐based applications in living cells, tissue, and organisms, including the bioimaging of various cell types and targets, bioimaging‐supported sensing of metal ions and biomolecules, and FL imaging‐guided tumor therapy. Current CD‐based microscopic techniques and their advantages are also highlighted. This review discusses the significance of advanced CD‐supported imaging‐based in vitro and in vivo investigations, suggests the potential of CD‐based imaging for biomedicine, and encourages the effective selection and development of superior probes and platforms for further biomedical applications.