bluuebunny/crossref_metadata_2025 huggingface dataset:
No black hole bomb for D-dimensional extremal Reissner–Nordstrom black holes under charged massive scalar perturbation
Authors: Huang Jia-Hui
Published: May 2022

The superradiant stability of asymptotically flat D-dimensional extremal Reissner–Nordstrom black holes under charged massive scalar perturbation is analytically studied. Recently, an analytical method has been proposed by the author and used to prove that five and six-dimensional extremal Reissner–Nordstrom black holes are superradiantly stable under charged massive scalar perturbation. We apply this analytical method in the D-dimensional extremal Reissner–Nordstrom black hole case and prove that there is no black hole bomb for D-dimensional Reissner–Nordstrom black hole under charged massive scalar perturbation and the system is superradiantly stable.
Numerical Analysis of Surface Rolling Effects on Fatigue Life Enhancement of Wire Arc Additively Manufactured Parts
Authors: Pi Dingkun , Ermakova Anna , Mehmanparast Ali
Published: May 2022

With the advancements in additive manufacturing (AM) technologies, it is expected that fast and efficient production using the AM techniques will gradually replace the traditional manufacturing processes. An important consideration in the design and life assessment of AM-built parts is the asset integrity management and in particular fatigue life enhancement of such components. Surface rolling treatment is known to be an efficient way to introduce deep compressive residual stresses into engineering components, and therefore it has been considered as a practical and effective life enhancement technology. In this study, the surface rolling effects on the fatigue life enhancement of wire arc additively manufactured (WAAM) parts have been investigated. For this purpose, a compact tension specimen geometry was modeled in ABAQUS and the rolling process was simulated by means of finite element simulations to predict the extent of compressive residual stresses induced into a WAAM built part. The simulation results have been discussed in terms of the beneficial effects of surface rolling on fatigue life enhancement of WAAM built parts.
Fabrication of UiO-66/g-C3N4 Heterostructure Nanocatalyst for Efficient Visible-Light Photocatalytic Performance
Authors: Xu Shichao , Yang Weijing , Liu Yufan , Yang Jie , Zu Tongtong , Hao Mengchen , Li Yang , Xiao Yichen
Published: May 2022

It is well known that synthetic heterojunction photocatalysts can promote photocatalytic activity. Herein, we successfully combine UiO-66 with [Formula: see text]-C3N4 as ultrathin layer coating via a convenient synthesis method, the photocatalytic performance through the degradation of RhB is then shown efficient. The heterojunction and high surface area give the photocatalysts an ability to promote visible light absorption and strengthen the separation and migration of photogenerated electrons, which ultimately leads to the improvement of photocatalytic degradation. The heterostructure nanocatalyst helps the degradation rate of RhB reach 98.98% in 140[Formula: see text]min under visible light irradiation. In addition, the hole (h[Formula: see text]) plays a major role in the reaction. This work offers an efficient method for the application in the field of environmental degradation.
Clinical Observation of Zhengyuan Capsule Combined with Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer
Authors: Zhang Xiaoyu , Li Huixin , Wu Feng , Sun Dan , Zhang Hengle , Jin Lijun , Kang Xiaoning , Wang Zunyi
Published: May 2022

Objective. To study the clinical effect of Zhengyuan capsule combined with neoadjuvant chemotherapy in the treatment of triple-negative breast cancer (TNBC). Methods. From September 2014 to September 2017, 120 TNBC patients who underwent radical mastectomy in our hospital were randomly divided into control group (n = 60) and observation group (n = 60). The short-term curative effect, the incidence of toxicity and side effects, and the score of quality of life of the patients were compared. Both recurrence and metastasis rates were also analyzed. Results. The combined treatment of Zhengyuan capsule with neoadjuvant chemotherapy significantly improved the objective remission rate (70.00% in the observation group versus 40.00% in the control group) (

P
<
0.05

). Moreover, this combined treatment significantly decreased the total incidence of side effects (35.00% versus 75.00%). Accordingly, the score of quality of life was also increased in patients treated with Zhengyuan capsule plus neoadjuvant chemotherapy (

P
<
0.05

). Furthermore, supplementation of Zhengyuan capsule can significantly suppress both the recurrence and metastasis rate of TNBC in patients treated with neoadjuvant chemotherapy after radical mastectomy in following 3 years (30.00% versus 10.00%,

P
<
0.05

). Conclusion. Zhengyuan capsule effectively improves the short-term curative effect, reduces the side effects of chemotherapy, and improves the quality of life of patients treated with neoadjuvant chemotherapy after radical mastectomy. More importantly, this combined treatment can also reduce the long-term recurrence and metastasis of TNBC.
Multiobjective Green Time-Dependent Location-Routing Problem and Algorithms
Authors: Zhang Hua-Xin , Zhang Chun-Miao
Published: May 2022

To reduce the logistic cost and carbon emission and improve customer satisfaction, this study proposes a multiobjective green time-dependent location routing problem (MOGTDLRP) model in which the objectives are to minimize the distribution total cost, delivery time, and fuel consumption. This model will be solved by several hyperheuristic algorithms which include the high-level heuristics and the low-level heuristics. There are three acceptance criterions for the solution: improving and equal, all moves and accept all solutions, and dynamic acceptance criteria. Through the case, the performance of the algorithm and the influence of various factors on the solution are analyzed in this study. The experimental results show that the proposed model can effectively reduce logistic costs, carbon emissions, and vehicle travel time.
A New Model of Discrete-Continuous Bivariate Distribution with Applications to Medical Data
Authors: Mohammed B. I. , Makumi Nicholas , Aldallal Ramy , Dyhoum Taysir E. , Aljohani Hassan M.
Published: May 2022

The bivariate Poisson exponential-exponential distribution is an important lifetime distribution in medical data analysis. In this article, the conditionals, probability mass function (pmf), Poisson exponential and probability density function (pdf), and exponential distribution are used for creating bivariate distribution which is called bivariate Poisson exponential-exponential conditional (BPEEC) distribution. Some properties of the BPEEC model are obtained such as the normalized constant, conditional densities, regression functions, and product moment. Moreover, the maximum likelihood and pseudolikelihood methods are used to estimate the BPEEC parameters based on complete data. Finally, two data sets of real bivariate data are analyzed to compare the methods of estimation. In addition, a comparison between the BPEEC model with the bivariate exponential conditionals (BEC) and bivariate Poisson exponential conditionals (BPEC) is considered.
An Efficient Noise Elimination Method for Non-stationary and Non-linear Signals by Averaging Decomposed Components
Authors: Sun Zhenzhou , Lu Hongchao , Chen Jiefeng , Jiao Jialong
Published: May 2022

In this paper, a moving-average method of smoothing noise based on complex exponential decomposition is applied to eliminate noise of a non-stationary signal and a non-linear signal produced by Bouc–Wen model, which are added to white Gaussian noise to simulate the noise in measured signal. The method uses a sliding window cutting the entire non-stationary and/or non-linear signal into small segments and considers that the small segments are stable and linear. The segments are decomposed into a series of components via complex exponential decomposition, and the high-energy components are reserved to reconstruct de-noised signal. Then, due to the overlap of the reconstructed segments, the average value at the same time point of reconstruction signal is regarded as the de-noised data. A non-stationary signal and a non-linear signal are selected to investigate the performance of the proposed method, the results show that the proposed method has better de-noising efficiency compared with the wavelet shrinkage method and the Savitzky–Golay filter method based on EMD (EMD-SG) for dealing with the signals with SNR of 10 dB, 15 dB, and 20 dB, and de-noised signal using the proposed method has the highest signal-to-noise ratio (SNR) and the least root mean square error (RMSE).
Markov Model-Based Curriculum Association Classification Model and Student Achievement Prediction
Authors: Gu Hui , Deng XiuFen
Published: May 2022

With the increasing popularity of higher education and the increasing scale of students in schools, the educational administration management system of various colleges and universities has also accumulated a large amount of performance data. In the face of these massive data, many teaching managers still stay in the simple operation of adding, deleting, modifying, and checking the data and cannot effectively extract and analyze the useful knowledge and information hidden behind the data. Therefore, Markov model is proposed. The advantage of the Markov model is that it has better prediction effect on random series and data series with large volatility; that is, grey prediction model is used to reveal the overall trend of development and change of prediction data series. This paper studies the curriculum association classification model and student achievement prediction based on the Markov model. According to the student’s historical achievement, the average missed detection rate of future grade point is 48.65%, the average missed detection rate of Apriori algorithm is 35.5%, the average missed detection rate of FP growth algorithm is 43.2%, the average missed detection rate of this algorithm is 37.5%, and only 17 of the 40 grade point interval predictions match the actual interval. Make full use of the association rules between courses to provide students with early warning and teacher guidance for specific courses, which can effectively reduce the failure rate while reducing the academic burden. The Markov model can mine students’ data inside and outside the classroom, establish and improve college students’ achievement index system, then deeply analyze and discuss the development of college students’ achievement and ability, and finally give each student’s achievement results.
Construction of Health Education Competency Model for Nurses Based on Fuzzy Comprehensive Evaluation Method and Fuzzy Cluster Analysis Method
Authors: Li Honghe , Jin Nannan , Zhang Limin
Published: May 2022

Health education competency is essential for nurses to engage in clinical nursing practice. Nurses with a high level of health education competency have a promising future. However, at the present stage, health education of nurses suffers from insufficient effective communication skills, poor skillfulness, and lack of health education knowledge. The above problems seriously affect the improvement of nurses’ health education level and restrict the development of health education in health industry. Therefore, it is very important to construct a health education competency model on how to improve health education. This paper, by taking nurses as the research object, constructed a health education competency model for nurses using the fuzzy comprehensive evaluation method and fuzzy cluster analysis method. In this paper, we first applied the fuzzy cluster analysis method to classify the relevant factors affecting nurses’ health education competency. Then, we investigated 10 experts from four tertiary general hospitals in Heilongjiang Province of China and asked them to rate nurses’ health education competency through the fuzzy comprehensive evaluation method. According to the results of this research, nurses’ knowledge and experience, nurse-patient communication competency, and health education implementation competency are the key factors affecting nurses’ health education competency. But the influence from overall quality is relatively minimal. Among the indicators of knowledge and experience, nurses’ health education knowledge is the most important indicator because it can provide objective basis and expand ideas for the hospital health education management and nursing personnel training.
Impact of Femoral Neck Cortical Bone Defect Induced by Core Decompression on Postoperative Stability: A Finite Element Analysis
Authors: Yuan Daizhu , Wu Zhanyu , Luo Siwei , Zou Qiang , Zou Zihao , Ye Chuan
Published: May 2022

Objective. To analyze the impact of femoral neck cortical bone defect induced by core decompression on postoperative biomechanical stability using the finite element method. Methods. Five finite element models (FEMs) were established, including the standard operating model and four models of cortical bone defects at different portions of the femoral neck (anterior, posterior, superior, and inferior). The maximum stress of the proximal femur was evaluated during normal walking and walking downstairs. Results. Under both weight‐bearing conditions, the maximum stress values of the five models were as follows: femoral neck (inferior) > femoral neck (superior) > femoral neck (posterior) > femoral neck (anterior) > standard operation. Stress concentration occurred in the areas of femoral neck cortical bone defect. Under normal walking, the maximum stress of four bone defect models and its increased percentage comparing the standard operation were as follows: anterior (17.17%), posterior (39.02%), superior (57.48%), and inferior (76.42%). The maximum stress was less than the cortical bone yield strength under normal walking conditions. Under walking downstairs, the maximum stress of four bone defect models and its increased percentage comparing the standard operation under normal walking were as follows: anterior (36.75%), posterior (67.82%), superior (83.31%), and inferior (103.65%). Under walking downstairs conditions, the maximum stress of bone defect models (anterior, posterior, and superior) was less than the yield strength of cortical bone, while the maximum stress of bone defect model (inferior) excessed yield strength value. Conclusions. The femoral neck cortical bone defect induced by core decompression can carry out normal walking after surgery. To avoid an increased risk of fracture after surgery, walking downstairs should be avoided when the cortical bone defect is inferior to the femoral neck except for the other three positions (anterior, posterior, and superior).
A System Dynamic Model of Closed-Loop Supply Chain considering Recovery Strengthening and Product Differentiation
Authors: Gao Niu , Qu Lin-Chi , Jiang Yuan-Tao
Published: May 2022

Considering the strengthening effect of recovery on demand and the product differentiation, a multifactor closed-loop supply chain (CLSC) system dynamics (SDs) model is established and is simulated using the Vensim software. Based on the simulation data, influences of factors of “policy effect,” “recovery delay time,” “recovery strengthening,” and “recovery channel competitions” on the CLSC are analyzed. The results demonstrate that the order amplification and inventory amplification are all better than those of the traditional supply chain. Demands for remanufactured products and new products both reach the stable states in the later period. In addition, the variance analysis indicates that all the factors have a significant effect on the order and inventory amplifications in CLSC. Finally, some managerial implications are put forward.
Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review
Authors: Khan Z. H. , Ullah M. Hedayet , Rahman Bulu , Talukder Aminul I. , Wahadoszamen Md. , Abedin K. M. , Haider A. F. M. Y.
Published: May 2022

Laser-induced breakdown spectroscopy (LIBS) has emerged as a promising technique for both quantitative and qualitative analysis of elements in a wide variety of samples. However, conventional LIBS suffers from a high limit of detection (LoD) compared with other analytical techniques. This review briefly discusses several methods that demonstrate the applicability and prospects for trace element detection while lowering the LoD when coupled with LIBS. This review compares the enhancement mechanisms, advantages, and limitations of these techniques. Finally, the recent development and application of LIBS coupled techniques for trace element detection are also discussed for various samples such as metal alloys, biomaterials, rare earth elements, explosives, drinking water, and water bodies.
Managing a Case of a Congenital Cystic Eyeball: Case Report with Review of Literature
Authors: Pant Aashish Raj , Suwal Rinkal , Joshi Purushottam , Chaudhary Santosh
Published: May 2022

A congenital cystic eyeball is an extremely rare condition, with only 52 cases reported in the literature to date. An orbital cyst replaces the eyeball which occurs due to the complete or partial failure in invagination of the primary optic vesicle during the fourth week of gestation. We discuss a case of a congenital cystic eyeball in a 14-year-old female who presented to us for a cosmetic blemish due to a large swelling in the right eyelid with the absence of a right eyeball since birth. She underwent removal of the cyst followed by an orbital implant and later prosthesis. Diagnosis of the congenital cystic eyeball was made based on the clinical and ultrasound B-scan features, intraoperative findings, and histopathology report. This article adds one more case to the existing literature on the congenital cystic eyeball. Orbital implant with prosthesis after excision of the cyst provided definitive diagnosis and a good cosmetic outcome in our case.
TREM-1 Modulates Dendritic Cells Maturation and Dendritic Cell-Mediated T-Cell Activation Induced by ox-LDL
Authors: Wang Yun Kai , Wang Jie , Hua Feng , Shen Yun Li , Han Lu , You Jie Yun , Wei Wei , Zhang Chun Yu , Liu Xiang Dong , Zhang Qi
Published: May 2022

Atherosclerosis is a chronic inflammatory disease. The triggering receptor expressed on myeloid cells-1 (TREM-1) plays a crucial role in inflammatory diseases; recently, it was identified as a major upstream proatherogenic receptor, but its mechanism is still unclear. In this study, we explore the role of TREM-1 on dendritic cells maturation and inflammatory responses induced by ox-LDL and its possible mechanism. Human dendritic cells were differentiated from blood monocytes and treated with ox-LDL. Naive autologous T cells were cocultured with pretreated DCs or treated directly. The expression of TREM-1 and inflammatory factors were evaluated by real-time PCR, western blot, and ELISA methods. And the expression of immune factors to evaluate the DCs maturation and T-cell activation were determined by the FACS. Our study showed that ox-LDL induced TREM-1 expression, DC maturation, and T-cell activation. T cells exposed to ox-LDL-treated DCs produced interferon-γ and interleukin-17 (IL-17). Blocking TREM-1 suppressed the DC maturation, showing lower expression of CD1a, CD40, CD86, CD83, and HLA-DR, and limited their production of tumor necrosis factor-alpha (TNF-α), IL-1β, IL-6, and monocyte chemoattractant protein-1 (MCP-1), meanwhile increased transforming growth factor-β(TGF-β) and IL-10 production. Ox-LDL induced miR-155, miR-27, Let-7c, and miR-185 expression; however, TREM-1 inhibiting decreased miRNA-155 expression. Furthermore, silencing miRNA-155 restores SOCS1 repression induced by ox-LDL. Experiments with T cells derived from carotid atherosclerotic plaques or healthy individuals showed similar results. Our results uncover a new link between ox-LDL and TREM-1 and may provide insight into this interaction in the context of atherosclerosis.
Deguelin Attenuates Non-Small-Cell Lung Cancer Cell Metastasis by Upregulating PTEN/KLF4/EMT Signaling Pathway
Authors: Lu Guohua , Yao Yinan , Zhang Xiaochen , Cui Dawei , Zhou Jianying
Published: May 2022

Non-small-cell lung cancer (NSCLC) is the most common lung cancer and a major cause of cancer mortality worldwide. Deguelin plays a vital inhibitory role in NSCLC initiation and development. However, the downstream mechanism of deguelin-suppressed metastasis of NSCLC cells is still not completely understood. Interestingly, phosphatase and tensin homologue deleted on chromosome 10 (PTEN) and Krüppel-like factor 4 (KLF4) also contribute to inhibition of metastasis in NSCLC cells. Here, we demonstrated that deguelin significantly upregulated PTEN and KLF4 expressions and PTEN positively upregulated KLF4 expression in NSCLC cells including A549 and PC9 cells. Moreover, overexpressions of PTEN and KLF4 inhibited the migration and invasion of NSCLC cells, an effect similar to that of deguelin. Furthermore, overexpressions of PTEN and KLF4 could suppress the epithelial-mesenchymal transition (EMT), an effect also similar to that of deguelin. Additionally, deguelin displayed a significant antitumor ability by upregulating PTEN and KLF4 expressions in mice model with NSCLC cells. Together, these results indicated that deguelin could be a potential therapeutic agent through upregulating PTEN and KLF4 expressions for NSCLC therapy.
Correlation between Carotid Stenosis Degree and Blood Pressure Variability in Patients with Carotid Stenosis
Authors: Nie Junli , Hou Liang , Tan Baozhen
Published: May 2022

Background. Carotid artery stenosis is one of the most serious diseases that endanger human health in contemporary times. It is a frequently occurring and common disease of the middle-aged and elderly people. Its incidence is increasing year by year, bringing a heavy economic burden to society and families. Whether there is a relationship between the degree of carotid artery stenosis and blood pressure variability is less studied. Aims. To investigate the correlation between the degree of carotid stenosis and blood pressure variability in patients with carotid stenosis. Materials and Methods. A total of 200 patients with carotid artery stenosis who were treated in our hospital from January 2017 to January 2020 were selected as the subjects of prospective study and were divided into mild stenosis according to the degree of carotid stenosis (carotid artery stenosis rate was 0-50%), moderate stenosis (carotid artery stenosis rate was between 50% and 70%), severe stenosis (carotid artery stenosis

rate
≧
70
%

), and the control group with 50 cases each. The correlations between the hemodynamics, the degree of carotid artery stenosis, and blood pressure variability in patients with carotid artery stenosis were analyzed. Results. The levels of 24hSSD, 24hDSD, dSSD, dDSD, and nSSD in the mild stenosis group and moderate stenosis group were significantly higher than those in the control group. In the stenosis group, the levels of 24hSSD, 24hDSD, dSSD, dDSD, and nSSD in the severe stenosis group were significantly higher than those in the moderate stenosis group, with statistical significance (

P
<
0.05

). The levels of PSV, EDV, and MV in the mild stenosis group and moderate stenosis group were lower than those in the control group, while the PI and RI indexes were higher than those in the control group. PI and RI levels were significantly higher than those in the mild stenosis group and moderate stenosis group (

P
<
0.05

). Logistic analysis showed that EDV (

P
=
0.001

,

OR
=
2.245

,

95
%
CI
=
1.638
~
3.078

), SSD (

P
=
0.014

,

OR
=
0.725

,

95
%
CI
=
0.528
~
0.996

), and PSV (

P
=
0.001

,

OR
=
1.970

,

95
%
CI
=
1.300
~
2.990

) were closely related to the degree of carotid artery stenosis. Conclusion. Hemodynamics and blood pressure variability are related to the severity of carotid stenosis, which provides a reference and basis for clinical treatment of carotid stenosis.
[Retracted] Analysis of the Effect of Holistic Nursing in the Operating Room Based on PDCA and Evidence‐Based Nursing in the Otorhinolaryngology Operating Room: Based on a Retrospective Case‐Control Study
Authors: Bian Leina , Li Jianhua , Li Wang , Hu Xiaoyan , Dai Ming
Published: May 2022

Objective. Based on a retrospective case‐control study, this study aims to explore the effect of holistic nursing in operating room based on PDCA (plan, do, check, and action) process and evidence‐based nursing (EBN) in a ear, nose, and throat operating room. Methods. About 200 patients who underwent otorhinolaryngology surgery in our hospital from January 2019 to September 2021 were enrolled. According to the difference of nursing mode, patients were assigned into a control group and study group; holistic nursing in operating room was included in control group, and holistic nursing in the operating room based on PDCA and EBN was included in study group. Nursing satisfaction, hypothermia, chills, restlessness, related indexes of operating room, nursing quality scores of operating room, and individual quality control scores were compared. Results. First of all, we compared the nursing satisfaction, the study group was very satisfied in 69 cases, satisfactory in 30 cases, general in 1 case, the satisfaction rate was 100.00%, while in the control group, 46 cases were very satisfied, 34 cases were satisfied, 13 cases were general, and 7 cases were dissatisfied, the satisfaction rate was 93.00%. The nursing satisfaction of the study group was higher compared to the control group (P < 0.05). Second, we compared the incidence of hypothermia, chills and restlessness. The incidence of hypothermia, chills, and restlessness in the study group was lower compared to the control group (P < 0.05). The time of tracheal tube extubation, PACU stay time, postoperative hospitalization time, hospitalization cost, and operation time in the study group was significantly lower compared to the control group (P < 0.05). In terms of the scores of nursing quality in the operating room, the instruments and equipment management, equipment preparation, nurses’ cooperation skills, disinfection and isolation quality, and total score in the study group were higher compared to the control group (P < 0.05). Finally, we compared the scores of individual quality control examination. The scores of ward management, rescue, therapeutic articles, drug management, first‐level nursing, nursing documents, and head nurse management in the study group were higher compared to the control group (P < 0.05). Conclusion. Incorporating the concepts of PDCA and EBN into the overall care of the operating theatre is effective for patients in the ENT operating theatre. Our results show that this care can be effective in improving patients’ surgical indicators, reducing the incidence of postoperative infections, shortening postoperative resuscitation and length of stay, reducing hospital costs, and promoting surgical patient satisfaction. While further multicenter studies are necessary, this series of nursing interventions remains worthy of replication in the clinical setting.
Efficacy of PD-1/PD-L1 Inhibitors versus Chemotherapy in Lung Cancer with Brain Metastases: A Systematic Review and Meta-Analysis
Authors: Yang Xiaojun , Zeng Yihong , Tan Qinquan , Huang Zhihua , Jia Jun , Jiang Guanming
Published: May 2022

Immune checkpoint inhibitors (ICIs) are widely used to treat local or metastatic lung cancer. However, the efficacy of ICI in patients with brain metastases (BM) from lung cancer is unknown. This study aimed to evaluate the efficacy of PD-1/PD-L1 ICIs compared with chemotherapy for patients with lung cancer with BM. Electronic databases (PubMed, Embase, The Cochrane Library, and Web of Science) were searched. The meta-analysis assessed overall survival (OS) and progression-free survival (PFS) of the PD-1/PD-L1 inhibitors axis and its relationship with pathological type, drug modality, and the treatment line number in patients with BM from lung cancer. We included 694 patients with BM from lung cancer from 11 randomized controlled trials. Statistical analysis showed that compared with chemotherapy, PD-1/PD-L1 inhibitors could significantly prolong OS (

hazard
 
ratio
 

HR

=
0.75

,

95
%
confidence
 
interval
 

95
%
CI

=
0.51
–
0.99

) and PFS (

HR
=
0.65

,

95
%
CI
=
0.51
–
0.80

). In the subgroup analysis, ICIs plus chemotherapy improved PFS (

HR
=
0.60

,

95
%
CI
=
0.40
–
0.80

), but not OS (

HR
=
0.75

,

95
%
CI
=
0.30
–
1.19

). The efficacy of ICI monotherapy in patients with BM was significantly different between OS and PFS: OS pooled

HR
=
0.81

(

95
%
CI
=
0.57
–
1.05

) and

PFS
=
0.78

(

95
%
CI
=
0.62
–
0.94

). Among different pathological types, the OS pooled HR was 0.67 (9

5
%
CI
=
0.39
–
0.95

) for non-small cell lung cancer (NSCLC) and 0.94 (

95
%
CI
=
0.56
–
1.33

) for small cell lung cancer (SCLC); the PFS pooled HR was 0.58 (

95
%
CI
=
0.39
–
0.76

) for NSCLC and 0.79 (

95
%
CI
=
0.65
–
0.93

) for SCLC. Subgroups analysis of treatment line showed that no advantage for OS with ICIs as first-line or subsequent-line therapy, whereas ICIs as first-line (

HR
=
0.63

,

95
%
CI
=
0.53
–
0.74

) and second-line (

HR
=
0.62

,

95
%
CI
=
0.62
–
0.96

) benefitted PFS. This meta-analysis implied that compared with chemotherapy, PD-1/PD-L1 inhibitors significantly improved efficacy treatment of patients with BM from lung cancer. Further studies are needed to confirm the role of ICIs in different pathological types and drug treatment modalities.
Dynamic Production Control and Optimization under Low Carbon Economy considering Delivery Time Demand
Authors: Liu Ming , Yang Ting , Li Qingjun
Published: May 2022

Production control plays an important role in the efficient use of production resources. To promote energy-saving and environmental protection, low carbon emissions, and sustainable development of enterprises, it is necessary to explore the production control scheme that facilitates the manufacturing of low-cost products. However, the existing studies have not incorporated expected delivery time into the preparation of production control scheme. With the purpose of improving the low carbon economy, this paper integrates the quantitative data of the dynamic production control process to reduce the overall cost and solves the problems of collaborative operation between dynamic production control and delivery time demand, aiming to promote the green and sustainable development of production control technologies of the manufacturing industry. To solve the problems more scientifically, the following works were done: firstly, a dynamic production control model was established under the constraint of low carbon emissions. Next, the corporate manufacturing information was synthetized with the data on production, logistics, and delivery, and a collaborative optimization model was established for the dynamic production control and delivery time demand under low carbon economy. The effectiveness of our model was demonstrated through experiments.
Key Technologies of Vehicle Active Safety System Based on Computer Vision
Authors: Qian Mingzhu , Wang Xiaobao
Published: May 2022

Due to the increase in the number of urban vehicles and the irregular driving behavior of drivers, urban accidents frequently occur, causing serious casualties and economic losses. Active vehicle safety systems can monitor vehicle status and driver status online in real time. Computer vision technology simulates biological vision and can analyze, identify, detect, and track the data and information in the captured images. In terms of driving accident warning and vehicle status warning, the vehicle active safety system has the potential to enhance the driver’s ability to detect abnormal situations, prolong the processing time, and reduce the risk of safety accidents. In this paper, an active safety system is developed according to the existing vehicle electronic system framework, and the early warning decision is made by evaluating the relationship between the minimum early warning distance and the actual vehicle distance, speed, and other factors. In this paper, the kinematics model established by the vehicle active safety early warning system is designed. The results found that, within 400 ms of the driver’s judgment time, for the driver with the reaction time of 0.6 s and 0.9 s, the following distance of 20 m does not constitute a safety threat and no braking operation is required.
Model Analysis of Applying Computer Monitoring to College Students’ Mental Health
Authors: Mao Shufang , Liu Shengmin
Published: May 2022

In the past 20 years, although there are many achievements in the model analysis and research, there are still problems of low data utilization and low accuracy. This paper analyzes the mental health level of college students based on chaotic algorithm. At the same time, the application of computer monitoring algorithm to students’ real life psychology is discussed. According to different types of mental health analysis models, the high-precision matching analysis of different students is realized. At the same time, according to the personality characteristics and psychological changes of different students, the model is established and analyzed. Finally, an experiment is designed to carry out practical application and data analysis of the mental health analysis model. The results show that the intelligent analysis model based on computer chaos algorithm has better classification effect. In addition, the algorithm can also make different evaluation strategies according to the different personality of students and can carry out multidimensional classification for college students of different majors. It has effectively increased the proportion of college students’ mental health groups. Compared with the current mainstream algorithms, the algorithm used in this study can adaptively classify college students of different majors. The accuracy of the experimental results is improved by at least 37% compared with the traditional method, and the error is low.
Influence of Ideological and Political Education Strategies on College Students’ Entrepreneurship Based on Wireless Network and Artificial Intelligence Knowledge Map
Authors: Zhang Baoyu , Qi Qian , Li Linguo
Published: May 2022

Technological advancements have paved the path for utilizing artificial intelligence and wireless networks in every field. In this study, people will research the ideological and political education (IPE) strategies based on wireless networks and artificial intelligence knowledge maps on college students’ entrepreneurship. IPE deals with a country’s political status, forming a social and economic study. This education utilizes wireless network technology and artificial intelligence for teaching and learning. The proposed system studies IPE strategies that use artificial intelligence and wireless networks in a combined way of intelligent wireless network (IWN) in a knowledge map on college students’ entrepreneurship. The idea is then adapted to the college student’s entrepreneurship and found efficient. Recursive algorithms (RA) call themselves out by lowering input quantities and returning values for the input signal by performing basic processes in a repeated iteration. Artificial intelligence utilizes recursion to develop entrepreneurship skills among college students. The proposed algorithm is compared with the traditional remote supervision algorithm (RSA), and the study results that RA has obtained an accuracy of 98%.
Combination of Perindopril Erbumine and Huangqi-Danshen Decoction Protects Against Chronic Kidney Disease via Sirtuin3/Mitochondrial Dynamics Pathway
Authors: Wei Xian , Wang Yuzhi , Weng Jiali , Lao Yunlan , Deng Ruyu , Lu Jiandong , Yang Shudong , Liu Xinhui
Published: May 2022

Background. Chronic kidney disease (CKD) is a major public health problem worldwide. Treatment with renin-angiotensin system inhibitors can achieve only partial efficacy on renal function decline and renal fibrosis in CKD patients. Huangqi-Danshen decoction (HDD) is a basic Chinese herbal pair which is commonly used to treat CKD with good efficacy.Objectives. The current study aimed to investigate the effect of perindopril erbumine (PE), an angiotensin-converting enzyme inhibitor, combined with HDD on adenine-induced CKD rat model and explore the possible mechanism from Sirtuin3/mitochondrial dynamics pathway Method. CKD rat model was established by feeding of 0.75% w/w adenine containing diet for 3 weeks. At the same time, the treatment groups were given PE (0.42 mg/kg/d) or HDD (4.7 g/kg/d) or PE combined with HDD by gavage for 4 weeks. Renal function was evaluated by the levels of serum creatinine (Scr) and blood urea nitrogen (BUN). The renal pathological injury was observed by periodic acid-Schiff (PAS) and Masson’s trichrome staining. Proteins expression was determined by Western blot analysis. Mitochondrial morphology was observed by transmission electron microscopy. Results. PE in combination with HDD significantly improved renal function, reduced tubular injury and interstitial fibrosis in adenine-induced CKD rats. Moreover, PE + HDD treatment mainly activated the Sirtuin3 expression level. In addition, PE + HDD exhibited bidirectional regulation on mitochondrial dynamics by suppressing mitochondrial fission protein dynaminrelated protein 1 expression and elevating mitochondrial fusion protein optic atrophy 1 expression, resulted in restraint of mitochondrial fragmentation.Conclusion. The combination of PE and HDD attenuated adenine-induced CKD in rats, which was possibly associated with Sirtuin3/mitochondrial dynamics pathway.
Pancancer Analyses Reveal Genomics and Clinical Characteristics of the SETDB1 in Human Tumors
Authors: Lin Xin , Xiao Min , Chen Zhitao , Ding Chenchen , Zhang Ting , Li Qiyong
Published: May 2022

Background. Malignant tumor is one of the most common diseases that seriously affect human health. The prior literature has reported the biological function and potential therapeutic targets of SET domain bifurcated histone lysine methyltransferase 1 (SETDB1) as an oncogene. However, SETDB1 has rarely been analyzed from a pan-cancer perspective. Methods. Bioinformatics analysis tools and databases, including GeneCards, National Center for Biotechnology Information (NCBI), UniProt, Illustrator for Biological Sequences (IBS), Human Protein Atlas (HPA), GEPIA, TIMER2, Sangerbox 3.0, UALCAN, Kaplan-Meier (K-M) plotter, cBioPortal, Catalogue Of Somatic Mutations In Cancer (COSMIC), PhosphoSitePlus, TISIDB, STRING, and GeneMANIA, were utilized to clarify the biological functions and clinical significance of SETDB1 from a pan-cancer perspective. Results. In this study, the pan-cancer analysis demonstrated that SETDB1 showed significantly differential expression in most tumor tissues and paracancerous tissues, and SETDB1 expression was associated with clinicopathological features and clinical prognosis. We also found that SETDB1 mutations occurred in most tumors and were related to tumorigenesis. In addition, DNA methylation of SETDB1 primarily occurred at the cg10444928 site and was associated with prognosis in several human tumors. The predicted phosphorylation site of SETDB1 was Ser1006. We found that SETDB1 was significantly related to the specific tumor-infiltrating immune cell populations and expression of clinically targetable immune checkpoints and may be a promising immunotherapy target. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses also indicated that SETDB1 may function as crucial regulator in carcinogenesis of human cancers. Conclusions. SETDB1 is an important oncogene involved in tumorigenesis and tumor progression through different biological mechanisms. Furthermore, SETDB1 may be a potential therapeutic target for cancer treatment.
Design of Literary Theory Teaching System in the Visual Field of Language Graphic Relations
Authors: Zhang Yuan , Zhang Xiaolei
Published: May 2022

Literary theory has developed with the development of the times. In traditional literary theory teaching, we always adhere to the “literature is the art of language” and “literature is a reflection of social life.” The essence of literature, the writer, the text, and the interpretation of the content, for example, are established on the basis of the understanding of language, in order to understand the world of literature reflect and express, and the image idea is basically not involved. This paper discusses the teaching of literary theory based on the relationship between language and picture, close to the literary reality to optimize the teaching content, carry out research-based teaching, and cultivate students’ thinking ability and practical ability, so as to explore and innovate the teaching of literary theory. For the objective questions or questions close to the objective questions, the machine is used for marking, while the subjective questions need teachers to mark. In addition, in terms of evaluation, qualitative and quantitative methods are used to comprehensively evaluate learners, and a preliminary evaluation table for students is designed.
Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology
Authors: Nguyen Vi , Altarazi Faisal , Tran Thanh
Published: May 2022

The research presents an analysis and comparison of the Taguchi Design and Response Surface Methodology (RSM) in optimizing the laser cutting machine parameters on dimension accuracy for stainless steel products. The paper studies effects of input factors such as cutting speed, nitrogen pressure, power, and frequency on the quality cutting of stainless steel (304) specimens. In this paper, two objectives are examined: targeting laser-cut edge to perpendicular 90 degrees and maximizing the cutting accuracy. The paper proposes a simple formula to optimize both targets by minimizing one new function definition, i.e., dimensional error. An L9 orthogonal array of Taguchi Methodology is adopted to minimize the number of experiments and shorten analysis time to achieve the optimal parameters. These results are compared with RSM. Box–Behnken Design (BBD) type of RSM requires more experiments than the Taguchi approach. RSM regression models as the quadratic functions of the control factors are developed to minimize the dimensional error of cutting products. Then, Analysis of Variance (ANOVA) and graphs will be analyzed to determine the influences of variables on the responses. Both Taguchi’s method and RSM found that the most influential factor on dimension accuracy is cutting speed, followed by laser power. While Taguchi provides good graphic visualization for quickly predicting the optimum condition, it cannot examine the interaction effects as RSM due to the lack of data. Besides, RSM reveals the percentage contribution of factors on dimensional error. Cutting speed has a maximum contribution, i.e., 39% of the total. The interaction of cutting speed and power contributes 16% of the total. In this study, RSM can predict optimum conditions more accurately than Taguchi. There are misleading results from the Taguchi method compared with RSM. However, the difference between these objective values is insignificant. The validation experiments show that the Taguchi method can be a practical approach for optimization problems. It can help reduce cost and time and achieve the desired optimal outputs. With cutting problems requiring high precision, the RSM method is highly recommended for identifying optimal parameter settings and interaction effects. With problems that their experimental runs consume high cost and time, Taguchi can be a suitable method for screening the significant variables. Although Taguchi and RSM are used widely for optimization problems in many fields, choosing the right methodology for various objectives is still a concern with different arguments and needs further research. Therefore, this study could be an adequate reference for parameter optimization problems in various fields.
Association Rule Analysis of Influencing Factors of Literature Curriculum Interest Based on Data Mining
Authors: Shi Long , Zhu Qingwei
Published: May 2022

In recent years, the amount of educational data in colleges and universities has increased rapidly. Each university has set up multiple courses to recruit talents. Students cannot choose courses. The emergence of data mining technology and its application in college teaching and curriculum has been preferred particularly to streamline these activities. When analyzing the correlation of courses based on data mining technology, we usually use the correlation between the scores of various subjects to analyze the correlation between courses. Correlation among various courses that are offered at colleges or universities is reflected through many different aspects such as factors or metrics, which are affecting course interest, course content, course arrangement, etc. In this article, we have thoroughly analyzed various factors that are affecting students’ interest in literature courses with the help of association rules of data mining technology. Through the collected original data, this article uses Apriori algorithm to screen the association rules affecting students’ interest in literature courses and combines them with the current teaching situation to complete the rule analysis. The results of rule analysis show that the most relevant factors affecting students’ interest in literature curriculum mainly include the space-time dimension of textbook selection and compilation, the processing method of selected reading, and the evaluation method. The reading content is effectively processed by using the counterpoint reading method, and the literature curriculum textbooks are compiled from the perspective of cross-cultural communication, to enhance students’ interest in the literature curriculum.
Experimental Investigation on Reactive Orange 16 Removal Using Waste Biomass of Ulva prolifera
Authors: Ravindiran Gokulan , Gaddam Kalyani , Sunil Killi
Published: May 2022

Ulva prolifera marine seaweed was tested for its capacity to eliminate reactive orange 16 (RO16) from aqueous solutions. Algae has recently been regarded as one of the most environmental friendly wastewater treatment methods and resources. The batch study used variations in solution pH, sorbent dosage, initial dye concentration, and temperature. The biochar was characterized using Fourier transform infrared (FT-IR) spectroscopy, an elemental analyser, proximate analysis, and a BET analyser. The adsorption mechanism was further investigated using adsorption isotherm and kinetic models. The thermodynamic analysis was performed by varying temperatures at different dye concentrations and calculating thermodynamic parameters such as Gibbs free energy, enthalpy, and entropy. The study was performed to evaluate the sorbent’s performance in real-time wastewater treatment, a variety of chemicals, solid-liquid ratios, and regeneration cycles that were used to determine desorption efficiency.