bluuebunny/crossref_metadata_2025 huggingface dataset:
Ultrasonic Time-Frequency Response Characteristics for Damage Evolution of Back-Filling Concrete under Staged Loading Conditions
Authors: Gao Xicai , Zhang Xichen , Zhao Cheng , Xia Huan , Liu Shuai , Ma Tengfei , Yin Jianhui , Fan Kai
Published: July 2022

Under the influence of repeated mining disturbance, the back-filling body for the gob-side entry retaining may experience a reduction in the bearing capacity or even failure, complicating the control of surrounding rock stability in coal mines. This study employs an electro-hydraulic three-axis servo testing machine and an ultrasonic detection system to study damage evolution and the precursor instability response behavior of the back-filling concrete of the gob-side entry retaining. Specifically, we conduct staged loading experiments on the specimens of back-filling concrete. By analyzing the characteristic stress of the concrete specimens and the ultrasonic time-frequency response characteristics, we explore the damage evolution and bearing capacity deterioration process. Results show that under staged loading conditions, the concrete specimens underwent a differential change process from nonuniform to uniform deformation, to localized deformation, and finally to failure. The velocity of the ultrasonic wave of the loaded concrete specimens first increased, then decreased with increasing stress, and the macroscopic deformation characteristics were consistent with damage development and evolution, showing clear stage-specific characteristics. The ultrasonic time-frequency response characteristics of the loading process characterized damage accumulation in the concrete specimens, loading state variation, and the deterioration of load-bearing capacity in great detail. During the staged loading process, the attenuation coefficient was positively correlated to bearing capacity, and the coefficient of variation (CV) of the dominant frequency was inversely proportional to the degree of crack development. Compared with the ultrasonic wave velocity, the time-frequency response characteristics were more sensitive to damage evolution. In summary, our findings provide an experimental basis for long-term stability monitoring and evaluation of the back-filling body for gob-side entry retaining in coal mines.
C-Reactive Protein-to-Albumin Ratio as an Early Biomarker to Identify Sepsis in Neonates with Pneumonia
Authors: Kang Ping , Kang Wen , Li Yi , Li Tiewei
Published: July 2022

Objectives. Neonates with pneumonia often also have sepsis, and the identifying sepsis from pneumonia may be a challenge for clinicians. However, there are no available data regarding the clinical value C-reactive protein-to-albumin ratio (CAR) in identifying sepsis in neonates with pneumonia. The aim of this study was to evaluate the clinical value of CAR in identifying sepsis in neonates with pneumonia. Methods. 847 neonates with pneumonia were included in this study, of which 511 neonates were diagnosed with sepsis. Neonates were divided into the sepsis group and the nonsepsis group. All neonates underwent extensive and necessary clinical and laboratory tests. CAR was calculated as serum C-reactive protein (ng/ml)/albumin (mg/ml). All statistical analyses were performed using the statistical package SPSS 24.0, as appropriate. Results. Compared with the nonsepsis group, neonates with sepsis have a higher CAR (

P
<
0.001

). Further analysis showed that the prevalence of neonates with sepsis increased significantly from 41.0% in the low CAR group (

CAR
≤
0.024
×

10

−
3

) to 80.0% in the high CAR group (

CAR
>
0.024
×

10

−
3

) (

P
<
0.001

). Correlation analysis showed that there was a strong positive correlation between CAR and PCT (

r
=
0.452

,

P
<
0.001

), nSOFA (

r
=
0.267

,

P
<
0.001

), and the prolonged length of hospital stay (

r
=
0.311

,

P
<
0.001

). Multiple logistic regression showed that CAR was an independent risk factor for the presence of sepsis in neonates with pneumonia. Receiver operating characteristic curve analysis revealed that CAR had adequate discriminatory power in predicting sepsis in neonates with pneumonia (area under curve

AUC

=
0.76

, 95% CI 0.73-0.79,

P
<
0.001

). Conclusions. CAR can be used as a new marker to identify sepsis in neonates with pneumonia.
On a Coupled System of Fractional Differential Equations via the Generalized Proportional Fractional Derivatives
Authors: Abbas M. I. , Ghaderi M. , Rezapour Sh. , Thabet S. T. M.
Published: July 2022

This work investigates the existence and uniqueness of solutions for a coupled system of fractional differential equations with three-point generalized fractional integral boundary conditions within generalized proportional fractional derivatives of the Riemann-Liouville type. By using the Schauder and Banach fixed point theorems, we study the existence and uniqueness of solutions for the aforesaid system. Finally, we present an example to validate our theoretical outcomes.
Association between ApoA1 Gene, Plasma Lipid Profile, hsCRP Level, and Risk of Arterial Stiffness in Thai Elderly
Authors: Supajaree Pruttaya , Chanprasertyothin Suwannee , Chattranukulchai Shantavasinkul Prapimporn , Sritara Piyamitr , Sirivarasai Jintana
Published: July 2022

Introduction. Apolipoprotein A1 (ApoA1) gene polymorphism is linked to high-density lipoprotein cholesterol (HDL-C) levels. Variations in this gene, along with dyslipidemia and inflammation, may increase the risk of vascular stiffness. This study aimed to investigate the link between ApoA1 rs670 genetic variations, various biochemical parameters, and the risk of arterial stiffness in older people. Methods. This population-based cross-sectional study included 355 participants (≥60 years) who completed a demographic and lifestyle information questionnaire. Clinical and anthropometric examination, biochemical analysis, and ApoA1 rs670 genotyping by real-time PCR were performed. The cardio-ankle vascular index (CAVI) was used to assess arterial stiffness. Results. Age, BMI, waist circumference, SBP, LDL-C, and high-sensitivity C-reactive protein (hs-CRP) were associated with high CAVI (≥9) among older people. The mean CAVI (8.19 ± 2.78) for the ApoA1 rs670 AA genotype was lower than that of the GG genotypes (8.94 ± 1.00,

p
<
0.05

). These results are supported by HDL-C (OR = 0.47, 95% CI: 0.24–0.93;

p
=
0.030

) and high hs-CRP (OR = 0.30, 95% CI: 0.16–0.57;

p
=
0.006

) levels together with adjusted ORs of both variables. Conclusion. ApoA1 rs670 genetic variations involved in the synthesis, transport, and processing of HDLs, hypertension, and inflammation are linked to arterial stiffness. Further studies are required to clarify these mechanisms.
[Retracted] Construction and Application of College English Blended Teaching System Based on Multidata Fusion
Authors: Pan Aiqin
Published: July 2022

With the rapid development of educational information technology, “online and offline” hybrid teaching has become the main trend of foreign language teaching reform in colleges and universities. The blended teaching mode integrates the traditional teaching mode with modern educational technology and reconstructs the traditional college English teaching mode in the aspects of teaching object, teaching content, teaching method, teaching environment, and teaching evaluation. Based on the multisource data such as students’ learning situation, learning duration, and academic performance, this paper builds a student English learning analysis system that realizes the integration of multisource data, completes the unified processing and analysis of multisource data, and then displays it through the interface. The system helps English teachers to guide students in different degrees according to the students’ English learning situation and academic performance, so that English teachers have a clearer and more comprehensive understanding of students’ learning and living conditions and timely guide students with incorrect learning attitudes, so as to avoid students’ detours.
Correlation between Sputum Bacterial Culture Positive Rate and Drug Sensitivity Test Results and Disease Severity inInpatients and Its Clinical Significance: A SystematicReview and Meta-Analysis
Authors: Zhou Wenjing , Li Jing
Published: July 2022

Objective. To systematically evaluate the correlation between the positive rate of sputum bacterial culture and the results of drug sensitivity test and the severity of the disease and its clinical significance, so as to provide evidence-based medicine for clinical application. Methods. PubMed, Embase, ScienceDirect, Cochrane Library, China Knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) online database were used. The retrieval time limit was from the establishment of the database to the present. Data for all included studies were extracted by two independent researchers, and the risk of bias for the quality of each included study was assessed by the Cochrane Handbook 5.1.0 criteria. RevMan5.4 statistical software was used to analyze the collected data by meta. Results. In the end, 6 RCT articles were included. Overall, 613 samples were included in 6 RCT studies. The correlation between the positive rate of sputum bacterial culture in inpatients and the severity of the disease was meta-analyzed. The heterogeneity test results showed that Chi2 = 177.20, df = 3, P < 0.00001, and I2 = 98%, indicating that there was obvious heterogeneity among the included research data. It was considered that there was a correlation between the positive rate of sputum bacterial culture and the severity of the disease. The correlation between the results of the drug sensitivity test of inpatients and the severity of the disease was evaluated. The results of the heterogeneity test showed that Chi2 = 0.00, df = 1, P = 1 > 0.05, and I2 = 0%, indicating that there was no heterogeneity among the included research data. In addition, the combined effect of WMD was analyzed by the fixed effect model. The combined effect dose WMD test was Z = 6.58 (P < 0.00001). It was considered that there was a correlation between the results of the drug sensitivity test and the severity of the disease. Conclusion. There is a correlation between positive sputum culture and drug sensitivity test results and the severity of the disease in hospitalized patients. In clinical practice, for hospitalized patients, the positive sputum bacterial culture rate and drug sensitivity test results can be used to guide the appropriate use of antibiotics. Due to the low input from the literature, more studies with higher methodological quality and longer follow-up are needed for further validation.
Dynamic Beam Switching by the Highly Sensitive Metasurface Composed of All‐Metallic Split‐Ring Resonators
Authors: Si Wenrong , Fu Chenzhao , Gan Fengyuan , Lan Dun , Li Wei
Published: July 2022

The development of metasurfaces capable of arbitrarily manipulating electromagnetic waves has created new opportunities for various applications. However, most tunable metasurface devices via different modulation techniques exhibit large fabrication difficulties or narrow bandwidths. Here, we use the all‐metallic split‐ring resonator to design a dynamically tunable metasurface that is highly sensitive to the ambient refractive index and capable of broadband beam switching. Different from the previous optical scatters, the split‐ring resonator is put on the metal substrate. Due to the existence of metallic substrate and large interaction of corner modes, the proposed resonator has small ohmic loss and high sensitivity to the ambient refractive index. By arraying the all‐metallic split‐ring resonators with different parameters, dynamic beam switching of anomalous reflection is demonstrated numerically. In particularly, the designed metasurface exhibits the dynamic beam switching in a broadband wavelength range of Δλ≈100 nm. Such an all‐metallic metasurface with high sensitivity can greatly reduce the designing difficulty of the tunable optical devices. The dynamic metadevices may find potential applications in stealth camouflage, information encryption, and data storage.
Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network
Authors: Li Zan , Zhang Nairen
Published: July 2022

Based on real sales data, this article constructed LGBM and LSTM sales prediction models to compare and verify the performance of the proposed models. In this article, we forecast the product sales of stores in the future T + 3 days and use MAPE as the evaluation index. The experiment shows that the product sales prediction model based on the convolutional LSTM (ConvLSTM) network has better prediction accuracy. From a store point of view, ConvLSTM prediction model MAPE was 0.42 lower than the long short-term memory (LSTM) network and 0.68 lower than LGBM. From the perspective of commodity categories, different commodity categories are suitable for different forecasting methods. Some categories are suitable for regression forecasting, while others are suitable for time-series forecasting. Among the categories suitable for time-series forecasting, the ConvLSTM model performs the best.
[Retracted] IGF‐1 Promotes Epithelial‐Mesenchymal Transition of Lens Epithelial Cells That Is Conferred by miR‐3666 Loss
Authors: Wang Chao , Zhao Baowen , Fang Jiahui , Shi Zhan
Published: July 2022

The abnormal proliferation, migration, and epithelial‐mesenchymal transformation (EMT) of lens epithelial cells (LECs) are the main reasons for vision loss caused by posterior capsular opacification (PCO) after cataract surgery. Insulin‐like growth factor‐1 (IGF‐1) was found to be associated with the pathogenesis of cataracts, but its biological role in PCO is poorly understood. In the present study, IGF‐1 overexpression facilitated the proliferation, migration, and EMT, whereas knockdown of IGF‐1 markedly suppressed the proliferation, migration, and TGF‐β2‐induced EMT of LECs. Additionally, to evaluate valuable microRNAs (miRNAs) which target IGF‐1 to modulate LEC‐EMT, we predicted miR‐3666 might regulate IGF‐1 by binding its 3’UTR according to the bioinformatics database. Furthermore, we verified that miR‐3666 directly targeted IGF‐1 by luciferase reporter assay. By using miR‐3666 mimics, cell proliferation, migration, and invasion were suppressed, while being enhanced by the reduction of miR‐3666. Knockout of IGF1 reverses the effect of the miR‐3666 inhibitor on the malignant behavior of LECs. These results indicate the role of miR‐3666/IGF‐1 in LEC‐EMT that offers new strategies for the therapy and prevention of PCO.
Analysis of Marine Economic Development and Innovation under Environment Constraint Based on the VAR Model
Authors: Wu Danjie
Published: July 2022

Building a new development pattern based on the “double‐cycle” is a major strategic plan of China. Under the background of the new development pattern of the “double‐cycle” and the context of environmental constraints, this paper tries to explore the impact of marine economic development on marine cultural industry and marine innovation development, the extent of the impact of marine cultural industry on marine economic growth, and the internal relationship between them under the new development pattern of double circulation. In this paper, Fujian Province is taken as the research object to construct an indicator system of the marine culture development to reflect the living standard, employment level, and spiritual and cultural levels of people in the marine area, and the external influence of the marine economy and marine culture industry is taken as the indicator variable to measure the integrated development. The internal changes are regarded as the index to assess the integration level of the two, and the evaluation theoretical model of the dynamic evolution level of the marine economy and marine cultural industry is constructed. The vector autoregression model and impulse response function are used to study the interactive correlation between the growth of the marine economy and the development of the cultural industry. The results show the following: In the long run, there is a cointegration relationship between the marine culture industry and the gross ocean product (GOP), which is a long‐term balanced and stable relationship. The development level of the marine economy and the development of marine culture industry are mutually influencing and promoting.
Electron Microscope Observation of Acupuncture and Nerve Repair in the Treatment of Peripheral Facial Paralysis
Authors: Shan Zhenggen
Published: July 2022

The repair of peripheral facial paralysis is a long-term problem in neurosurgery, and nerve repair is often needed. Due to the high differentiation of nerve tissue and the slow regeneration of peripheral nerve fibers, the repair effect after peripheral nerve injury is not ideal. In recent years, studies have found that the inflammatory response after peripheral nerve injury also has an important impact on the repair of peripheral nerve defects. This study depends on the utilization of traditional needle therapy in the treatment of fringe facial loss of motion, and the clinical adequacy of needle therapy in addition to nerve fix in the intense period of fringe facial loss of motion was seen with an electron magnifying lens. Endeavor to give significant exploration results to the clinical treatment of fringe facial loss of motion gives a straightforward, simple, protected, and successful new treatment innovation for the clinical treatment of the infection and enriches the treatment plan for peripheral facial paralysis. Transmission electron microscopy observations showed that 21 days after the artificial nerve was repaired, the nerve injury showed different degrees of recovery, and the myelin sheath was forming and gradually wrapping the new axons, which was similar to the catheter group (NC) and hydrogel group (HC). In contrast, the myelin layer of the fibroblast group (FHC) is more obvious, and the repair effect is better. In the maintenance of fringe nerve surrenders, irritation is an unavoidable interaction, and moderate needle therapy is useful to advance the maintenance of fringe nerve abandons. Talking about the law of nerve fix reaction in fringe nerve imperfection fix is helpful to the examination of fringe nerve deformity fix. Tests have shown that utilizing needle therapy and moxibustion joined with nerve fixes has accomplished great outcomes in the treatment of fringe facial loss of motion, and the patient’s recuperation rate has expanded by over 30%.
Hypothermia Protects against Ischemic Stroke through Peroxisome-Proliferator-Activated-Receptor Gamma
Authors: Shao Shuai , Lu Tian-Yi , Zhang Jian-Song , Wang Wen-Jun , Zhang Xiao-Hua , Chen Kui , Jia Feng
Published: July 2022

Ischemic stroke (IS) remains a global public health burden and requires novel strategies. Hypothermia plays a beneficial role in central nervous system diseases. However, the role of hypothermia in IS has not yet been elucidated. In this study, we determined the role of hypothermia in IS and explored its underlying mechanisms. The IS phenotype was detected based on infarct size, infarct volume, and brain edema in mice. Neuroinflammation was evaluated by the activation of microglial cells and the expression of inflammatory genes after ischemia/reperfusion (I/R) and oxygen-glucose deprivation/reperfusion (OGD/R). Neuronal cell apoptosis, cleaved caspase-3 and Bax/Bcl-2 expressions, cell viability, and lactate dehydrogenase (LDH) release were detected after I/R and OGD/R. Blood–brain barrier (BBB) permeability was calculated based on Evans blue extravasation, tight junction protein expression, cell viability, and LDH release after I/R and OGD/R. The expression of peroxisome proliferator-activated receptor gamma (PPARγ) was assessed after OGD/R. Our results suggested that hypothermia significantly reduced infarct size, brain edema, and neuroinflammation after I/R. Hypothermia increased PPARγ expression in microglial cells after OGD/R. Mechanistic studies revealed that hypothermia was a protectant against IS, including attenuated apoptosis of neuronal cells and BBB disruption after I/R and OGD/R, by upregulating PPARγ expression. The hypothermic effect was reversed by GW9662, a PPARγ inhibitor. Our data showed that hypothermia may reduce microglial cell-mediated neuroinflammation by upregulating PPARγ expression in microglial cells. Targeting hypothermia may be a feasible approach for IS treatment.
Event‐Based State Estimation for Networked Singularly Perturbed Complex Networks
Authors: Ren Zerong
Published: July 2022

This paper deals with the multievent‐triggering‐based state estimation for a class of discrete‐time networked singularly perturbed complex networks (SPCNs). A small singularly perturbed scalar is adopted to establish a discrete‐time SPCNs model. To reduce the communication burdens, the data transmission between the sensor and the estimator is managed by a multievent generator function. Depending on the singularly‐perturbed‐based Lyapunov theory, a sufficient condition is constructed to guarantee that the estimation error is exponentially ultimately bounded in the mean square. Finally, the validity of the developed result is demonstrated by a simulation example.
Biocomposite’s Multiple Uses for a New Approach in the Diagnosis of Parkinson’s Disease Using a Machine Learning Algorithm
Authors: Al-Husban Abdallah , Abdulridha Mustafa Mahdi , Mohamad A. A. Hamad , Ibrahim Abdelrahman Mohamed
Published: July 2022

Neurodegenerative diseases drastically affect human beings without distinction; it does not matter if they are male or female. Sometimes, it is not clear why a person in their life developed a well-known disease in the world such as Parkinson’s disease (PD). Nowadays, various novel machine learning-based algorithms for evaluating Parkinson’s disease have been designed. The most recent strategy, which was developed using deep learning and can forecast the severity of Parkinson’s disease, is the one described here. To identify this disease, a thorough medical history, previous treatment history, physical examinations, and some blood tests and brain films must be completed. Diagnoses are more critical since they are less expensive and less time-consuming. Voice data from 253 people used in the current study corroborates the doctor’s diagnosis of Parkinson’s disease. To acquire the best results from the data, preprocessing is done. To perform the balancing procedure, a systematic sampling strategy was used to select the data that would be analyzed. Several data groups were constructed using a feature selection technique based on the label’s effect strength. Classification algorithms and performance evaluation criteria employ DT, SVM, and kNN. The classification algorithm and data group with the highest performance value were chosen, and the model was created due to this selection. The SVM approach was employed when constructing the model, and 45% of the original data set data were used. The data was sorted from most relevant to least important. 86% performance accuracy was achieved, in addition to excellent results in all other areas of the project. As a result, it has been established that medical decision support will be provided to the doctor with the assistance of the data set obtained from the speech recordings of the individual who may have Parkinson’s disease and the model that has been developed.
Analysis of Emotional Color Representation in Oil Painting Based on Deep Learning Model Evaluation
Authors: Jin Xiaoyun
Published: July 2022

When an artist creates an oil painting, it is rich in emotion. Color is the main way to express emotion in oil painting. As far as the art field is concerned, color is an objective phenomenon that people can really feel its unique richness and brilliance, and different people will have different emotions when facing the same picture. Color itself is not emotional, but people have different psychological feelings by looking at different colors. This is the power of color. In the same way, color is also a carrier for painters to convey emotions in oil paintings. The study of emotional color expression in oil painting is more helpful for people to understand the emotion conveyed by oil painting. Color has an important role and an irreplaceable position in oil painting creation. In the creation of oil painting, color expression is combined with emotional expression. The creator conveys his experience and feelings in the form of color. In this paper, we look at the relationship between color and emotion, the emotional expression of color, and the expression of emotion in painting. The creators of oil paintings convey their feelings and experiences in the form of color, which plays a unique and important role in portraying the image of their works, expressing emotions, and creating an atmosphere, and we analyze and reveal how to use paint to express emotions in oil painting.
Ultimate Bearing Capacity of Ring Foundations Embedded in Undrained Homogeneous Clay
Authors: Wang An-hui , Zhang Yan-fang , Xia Fan , Luo Ru-ping , Wang Ning
Published: July 2022

A ring foundation is widely used in bridges, water towers, caissons, and other engineering structures, and its ultimate bearing capacity is one of the significant concerns in engineering design. This paper is aimed at exploring the ultimate bearing capacity of ring foundations embedded in undrained clay. Based on the finite element limit analysis, effects of the inside-to-outside radius ratio, embedment depth ratio, cutting face inclination angle, and face roughness on the vertical ultimate bearing capacity of ring foundations are investigated. The results show that the ultimate bearing capacity of the ring foundation increases gradually with the embedment depth ratio. When the embedment depth ratio

D
/
B

reaches a critical value, the bearing capacity tends to be stable, and the critical embedment depth ratio is affected by the inside-to-outside radius ratio of the ring foundation, varying from 0.2 to 0.4. The ultimate bearing capacity of the ring foundation decreases with cutting face inclination angle

β

. When

β
≤

40

°

, the ultimate bearing capacity tends to be stable, and the bearing capacity is reduced by approximately 30%. The influence of the cutting face inclination angle on the bearing capacity is highly dependent on the roughness of the cutting face.
Retractorless Surgery for Petroclival Meningiomas via the Subtemporal Approach: A Try to Reduce Brain Retraction Injury
Authors: Li Dongxue , Zeng Minghui , Yao Yang , Zhang Nan , Yang Tao , Xia Chengyu
Published: July 2022

Purpose. To present our experience with retractorless surgery for resection of petroclival meningiomas (PCMs) via the subtemporal approach with routine operative instruments. Methods. Clinical data of patients with PCMs who received surgical treatments via subtemporal approach were retrospectively analyzed. Patient demographics, duration of operation, extent of resection, postoperative brain injury rate, postoperative complication, and surgical outcome were reviewed. Results. Twenty-nine consecutive patients with retractorless surgery via subtemporal approach performed between November 2018 and November 2021. The gross total resection rate was 82.8% (

N
=
24

). The incidence of postoperative temporal lobe injury was 3.4% (

N
=
1

). All the procedures were completed without fixed retraction or other specialized instruments. Conclusions. Retractorless surgery via subtemporal approach is a reliable treatment option for PCMs, which can be completed with routine operative instruments.
Development and Validation of a Nomogram for Predicting Overall Survival to Concurrent Chemoradiotherapy in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma
Authors: Wang Chenyu , Cheng Xinyu , Jin Linzhi , Ren Runchuan , Wang Shaohua , Zheng Anping , Hao Anlin , Zhou Fuyou , Zhang Yaowen
Published: July 2022

This study aims to develop and validate a effective prognostic nomogram for locally advanced esophageal squamous cell carcinoma (LA‐ESCC) patients undergoing concurrent chemoradiotherapy (CCRT). Retrospective analysis of 503 patients with LA‐ESCC given CCRT in our hospital from 2009 to 2016 was conducted. Two‐thirds of the patients were randomly assigned to the training set (n = 335), and one‐third were assigned to the validation set (n = 168). In order to generate the nomogram, multivariate cox regression analysis was undertaken in the training set for uncovering significant prognostic variables for overall survival. The C‐index and calibration plot were used to verify nomogram discrimination and calibration, respectively. Five independent prognostic variables were found and incorporated into a nomogram: age, N stage, location, tumor response, and MLR (monocyte/lymphocyte ratio). The C‐indexes of the training set and the validation set were 0.730 and 0.745, respectively. The discrimination and calibration of this nomogram showed good predictive power in both sets. Conclusively, the proposed nomogram may be served as an effective tool for prognostic evaluation of LA‐ESCC patients receiving CCRT.
Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic Cancer Treated by Stereotactic Body Radiation Therapy
Authors: Wang Fei , Cheng Chao , Ren Shengnan , Wu Zhongyi , Wang Tao , Yang Xiaodong , Zuo Changjing , Yan Zhuangzhi , Liu Zhaobang
Published: July 2022

Background. 18F-FDG PET/CT is widely used in the prognosis evaluation of tumor patients. The radiomics features can provide additional information for clinical prognostic assessment. Purpose. Purpose is to explore the prognostic value of radiomics features from dual-time 18F-FDG PET/CT images for locally advanced pancreatic cancer (LAPC) patients treated with stereotactic body radiation therapy (SBRT). Materials and Methods. This retrospective study included 70 LAPC patients who received early and delayed 18F-FDG PET/CT scans before SBRT treatment. A total of 1188 quantitative imaging features were extracted from dual-time PET/CT images. To avoid overfitting, the univariate analysis and elastic net were used to obtain a sparse set of image features that were applied to develop a radiomics score (Rad-score). Then, the Harrell consistency index (C-index) was used to evaluate the prognosis model. Results. The Rad-score from dual-time images contains six features, including intensity histogram, morphological, and texture features. In the validation cohort, the univariate analysis showed that the Rad-score was the independent prognostic factor (

p
<
0.001

, hazard ratio [HR]: 3.2). And in the multivariate analysis, the Rad-score was the only prognostic factor (

p
<
0.01

, HR: 4.1) that was significantly associated with the overall survival (OS) of patients. In addition, according to cross-validation, the C-index of the prognosis model based on the Rad-score from dual-time images is better than the early and delayed images (0.720 vs. 0.683 vs. 0.583). Conclusion. The Rad-score based on dual-time 18F-FDG PET/CT images is a promising noninvasive method with better prognostic value.
A Novel Thrombosis-Related Signature for Predicting Survival and Drug Compounds in Glioblastoma
Authors: Zeng Wen-Jing , Cao Yu-Fang , Li He , Gong Zhi-Cheng , Wu Wantao , Luo Peng , Zhang Jian , Liu Zaoqu , Zhang Hao , Cheng Quan
Published: July 2022

Glioblastoma is the most common primary tumor in the central nervous system, and thrombosis-associated genes are related to its occurrence and progression. Univariate Cox and LASSO regression analysis were utilized to develop a new prognostic signature based on thrombosis-associated genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and HALLMARK were used for functional annotation of risk signature. ESTIMATE, MCP-counter, xCell, and TIMER algorithms were used to quantify immune infiltration in the tumor microenvironment. Genomics of Drug Sensitivity in Cancer (GDSC) was used for selecting potential drug compounds. Risk signature based on thrombosis-associated genes shows moderate performance in prognosis prediction. The functional annotation of the risk signature indicates that the signaling pathways related to the cell cycle, apoptosis, tumorigenesis, and immune suppression are rich in the high-risk group. Somatic mutation analysis shows that tumor-suppressive gene TP53 and oncogene PTEN have higher expression in low-risk and high-risk groups, respectively. Potential drug compounds are explored in risk score groups and show higher AUC values in the low-risk score group. A nomogram with valuable prognostic factors exhibits high sensitivity in predicting the survival outcome of GBM patients. Our research screens out multiple thromboses-associated genes with remarkable clinical significance in GBM and further develops a meaningful prognostic risk signature predicting drug sensitivity and survival outcome.
B/S-Based Construction of a Big Data Logistics Platform
Authors: Zhang Li
Published: July 2022

Due to the overwhelming characteristic of the Internet of Things, devices belonging to these networks are utilized in almost every domain of real life in order to improve the lifestyle of humans. However, these networks result in a huge amount of data related to different application domains, leading to another important research aspect, i.e., big data and cloud computing. Big data and cloud computing technologies in the logistics field have experienced initial contact, gradual penetration, and widespread application. Moreover, it supports traditional logistics to upgrade to smart logistics, aiming to achieve the fundamental requirements of today’s logistics industry and reduce costs with enhanced efficiency. However, the big data and cloud computing wisdom logistics model still has many problems in the construction of logistics public information platforms, end coordination development, government platform construction, and so on, in order to solve the problems of low efficiency, high cost, and low service satisfaction of traditional logistics. In this article, we have designed a new big data-enabled logistics detection system that is based on B/S architecture, constructed a smart logistics model consisting of a supply subsystem, demand subsystem, and supervision subsystem, and finally realized the operation process of the smart logistics model based on big data cloud computing.
Network Pharmacology-Based Investigation on the Mechanism of the JinGuanLan Formula in Treating Acne Vulgaris
Authors: Gholais Noha Saleh , Shi Chunrui , Zhang Jing , Liao Bei , Albarmaqi Rowida A. , Tang Xiaolong , Mi Leyuan
Published: July 2022

Background. JinGuanLan (JGL) formula is a traditional Chinese medicine (TCM) developed by the Department of Pharmacology at the First Hospital of Lanzhou University. The network pharmacology approach was applied to determine the potential active compounds, therapeutic targets, and main pathways of the JGL formula to evaluate its application value in acne vulgaris. Methods. Data on the active compounds and their related targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Acne vulgaris-related targets were searched from the Online Mendelian Inheritance in Man (OMIM) database, GeneCards Database, Comparative Toxicogenomics Database (CTD), Therapeutic Target Database (TTD), and DisGeNET Database. Targets intersecting between JGL- and acne vulgaris-related targets were chosen as potential therapeutic targets. The protein-protein interaction (PPI) network of potential therapeutic targets was visualized using Cytoscape software based on the PPI data collected from the STRING database. Three topological features, namely, “Degree,” “MCC,” and “EPC” of each node in the PPI network were calculated using the cytoHubba plugin of Cytoscape to excavate the core targets. R program was used for the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the potential therapeutic targets. Finally, the compound–target–pathway network was constructed. Result. Among the 148 active compounds that were identified, quercetin and kaempferol showed the highest degree of target interaction and thus may play essential roles in the pharmacological effect of the JGL formula for acne treatment. Among the 97 potential therapeutic targets that were screened out, the 6 core targets were TNF, JUN, IL6, STAT3, MAPK1, and MAPK3. A total of 2260 terms of GO enrichment analysis were obtained, including 2090 for biological processes (BP), 37 for cellular components (CC), and 133 for molecular function (MF). A total of 156 enriched KEGG pathways were identified, including TNF, IL-17, Th17 cell differentiation, MAPK, PI3K-Akt, T cell receptor, and Toll-like receptor signalling pathways. Conclusion. This work showed that the JGL formula might reverse the pathological changes associated with acne vulgaris through its antiinflammatory effect and regulate the excessive lipogenesis in sebaceous glands via different signalling pathways. This new drug has application value and is worthy of further research and development.
Towards Proactive Surveillance through CCTV Cameras under Edge-Computing and Deep Learning
Authors: Jaleel Abdul , Khurshid Syed Khaldoon , Mustafa Rehman , Mehmood Aamir Khalid , Tahir Madeeha , Ziar Ahmad
Published: July 2022

Weapons, usually a handgun, a revolver, or a pistol, are used in the majority of criminal acts. The traditional closed-circuit television (CCTV) surveillance and control system requires human intervention to detect such crime incidents. The purpose of this research is to develop a real-time automatic weapon carrier detection system that may be used with CCTV cameras and surveillance systems. The goal is to alarm and alert the security officials to take proactive action to prevent violent activities. In deep learning literature, region-based classifiers (R-FCN and Faster R-CNN) and regression-based detectors (Yolo invariant) are being used as promising object detection methods. Although region-based classifiers are accurate, they lack the speed of detection required for real-time detection, whereas regression-based detectors (for example, YoloV4 invariant) are fast enough for real-time detection, but lack accuracy. The method applied in this study relies on Yolov4 to quickly detect anomalies, followed by R-FCN to boost detection accuracy by filtering out any false positives. A weapon dataset comprising 4430 locally and internationally available weapon photos with a 70–30 split ratio is used to train and test the system, which is subsequently evaluated using a live surveillance camera system. This hybrid system achieved a 90% accuracy with a low false positive rate, as well as 94% precision, 86% recall, and 89% F1 score. Our results prove that the proposed hybrid system is useful for proactive real-time surveillance to alarm the existence of a suspicious weapon carrier in a surveillance area.
Design of Intelligent Evaluation System for College Students’ Mental Health Based on Big Data
Authors: Hu Tao , Zhang Xiaojun , Li Na
Published: July 2022

The mental health problems of college students have attracted the attention of all sectors of society. In order to keep college students in a good mental state and effectively analyze their mental health, an intelligent evaluation system of college students’ mental health based on big data is designed. Based on big data technology, this article constructs an intelligent evaluation system for college students’ mental health, which is divided into six layers, namely, application layer, decision layer, interface layer, analysis layer, data layer, and basic layer. Then, the mental health data of college students were collected based on C/S architecture. On the basis of extracting and integrating data characteristics, six evaluation indexes of personality, will, emotion, depression, fear, and psychosis were screened, and then, the intelligent evaluation was completed according to the weight of indexes. On the basis of the preliminary verification of the performance of the system in this article, according to the comparative experimental results, the mental health data acquisition time of the system is less, the accuracy of data feature extraction and the recall rate of evaluation results are higher.
Progression Rate of Visual Function and Affecting Factors at Different Stages of Retinitis Pigmentosa
Authors: Ito Nana , Miura Gen , Shiko Yuki , Kawasaki Yohei , Baba Takayuki , Yamamoto Shuichi
Published: July 2022

We reviewed medical records of 121 patients/235 eyes of typical retinitis pigmentosa (RP) patients who could be followed up for at least 5 years with the aim of investigating the long‐term course of visual function progression at each RP stage and appropriate assessment methods. Patients were classified into three groups: mild RP (baseline mean deviation (MD) ≥ −5), moderate RP (−25 < baseline MD < −5), and late RP (baseline MD ≤ −25). Linear mixed‐effect models were used to follow MD, the average retinal sensitivity of the central four points of the Humphrey field analyzer 10‐2 program (S4), and visual acuity (VA) with increasing time. The associations among factors (baseline MD group, sex, hereditary form) and the interaction between each factor and time were also investigated. The mean reduction of the MD, S4, and VA for all patients was ‐0.37 dB/year, ‐0.25 dB/year, and 0.018/year, respectively. The moderate RP group had a faster progression than other groups in MD (‐0.43 dB/year, p < 0.05). The moderate (‐0.31 dB/year, p = 0.01) and late RP groups (‐0.25 dB/year, p < 0.01) had faster progression than the mild RP group in S4. The late RP group had faster progression in VA than the other groups (0.03/year, p < 0.05). Females had a slower progression of the S4 (‐0.15 dB/year, p = 0.02) and VA (0.01/year, p < 0.001) than males. The autosomal dominant group had a slower progression than the sporadic group in MD (‐0.22 dB/year, p = 0.02); the autosomal dominant and autosomal recessive groups had a slower VA decline than the sporadic group (0.01/year, p = 0.03; 0.01/year, p = 0.04). Because the progression rates of VA and visual field test differed as per the RP stage, S4 and VA can also be useful assessment methods depending on the stage. Inheritance form and sex may affect the progression rate.
A Novel Inhibitor INF 39 Promotes Osteogenesis via Blocking the NLRP3/IL‐1β Axis
Authors: Chen Wenxiang , Tang Pan , Fan Shunwu , Jiang Xuesheng
Published: July 2022

Purpose. A balance between osteoblasts and osteoclasts is essential to maintain skeletal integrity, regulating bone metabolism and bone remodeling. The nucleotide binding oligomerization domain, leucine‐rich repeat and pyrin domain containing protein 3 (NLRP3) inflammasome is known as a cytosolic complex involved in producing proinflammatory cytokines consisting of interleukin‐ (IL‐) 1β, which accelerates the occurrence of osteoporosis. Therefore, we aimed to investigate the effect of a novel NLRP3 inhibitor INF 39 on bone formation and bone resorption. Material and Methods. Cell viability of INF 39‐treated osteoclasts and calvarial osteoblasts was tested by CCK‐8 assays. Quantitative RT‐PCR (qRT‐PCR) was used to evaluate gene expression level during osteoblast and osteoclast formation. Western blot analysis was used to determine the effect of INF 39 on osteogenic and osteoclast‐related proteins. Result. It was shown that INF 39 promotes osteoblast differentiation via inhibiting NLRP3, thereby reducing the production of IL‐1β dependent on NLRP3 in vitro. However, RANKL‐induced osteoclast differentiation is not influenced by INF 39 in vitro. Conclusion. Our study suggests that NLRP3 could be a new target and INF 39 may be a potential option for prevention and treatment of osteoporosis.
Analysis of Induced Field in the Brain Tissue by Transcranial Magnetic Stimulation Using Halo-V Assembly Coil
Authors: Sathi Khaleda Akhter , Hosain Md. Kamal , Hossain Md. Azad
Published: July 2022

As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) has already exhibited a great impact in clinical application and scientific research. This study presents a finite element method-based simulation of the Halo-V assembly (HVA) coil placed on the five-shell spherical human head model to examine the distributions of induced electric and magnetic fields. The performance of the designed HVA coil is evaluated by comparing the simulation results with the commercially available Halo-FO8 (HFA) assembly coil and standard single coils including the Halo and V coils. The simulation results indicate that the HVA coil shows an improved focality in terms of electric field distribution than the other single and assembly stimulation coils. Additionally, the effects of a magnetic shield plate and magnetic core on the designed HVA coil are investigated. Results indicate that the magnetic shield plate and magnetic core are proficient in further improving the stimulation focality. Therefore, the HVA TMS coil results in a safe and effective stimulation with enhanced focality of the target region as compared to the existing assembly coil.
Analysis of Normal Stopping Behavior of Drivers at Urban Intersections in China
Authors: Yuan Tian , Liu Rui , Zhao Xuan , Yu Qiang , Zhu Xichan , Wang Shu
Published: July 2022

Driving behavior analysis plays an important role in improving the human-like driving capability of the Advanced Driver Assistance System (ADAS) and autonomous driving technologies. In this study, 906 data of drivers stopping normally at urban intersections were extracted from natural driving data to study reaction characteristics and braking characteristics of drivers in real road traffic. The effects of traffic state and traffic density on approach speed and reaction distance were studied using one-way ANOVA, and the relationships between maximum deceleration, average deceleration, braking duration, and influencing factors were analyzed using hierarchical multiple regression. The main results indicate the following: (1) compare with free driving, the approach speed in the following state was lower, and following traffic also caused drivers with higher speeds to further increase reaction distance in high-density traffic. (2) Traffic density only affected the approach speed in the free-driving condition. High-density traffic caused drivers to reduce speed. (3) There was a clear correlation between approach speed and reaction distance: the greater the approach speed, the longer the reaction distance. (4) The braking characteristics were mainly affected by the self-vehicle motion state. Drivers braked to a stop with greater average deceleration and maximum deceleration in a shorter time when the approach speed was higher or the reaction distance was shorter. (5) Both traffic state and traffic density had an influence on the braking characteristics. Drivers reduced average deceleration and increased braking duration in the following state and high-density traffic. (6) When following a preceding vehicle to stop, the braking characteristics of drivers were no longer influenced by the traffic density but were related to the relative motion state with the preceding vehicle. In addition to the driving behavior analysis, the identification method of traffic participants and ranging method used in this study will also advance the development of autonomous driving technologies and driver assistance systems.