bluuebunny/crossref_metadata_2025 huggingface dataset:
Baseline characteristics of participants in the Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program
Authors: Yeung Kar-Fu , Lee Yu Qi , Chong Mary Foong Fong , Gandhi Mihir , Lam Amanda Yun Rui , Julianty Selly , Tan Gilbert Choon Seng , Ho Emily Tse Lin , Goh Su-Yen , Tan Gavin Siew Wei , Shum Eugene Jin Wen , Finkelstein Eric A , Jafar Tazeen H , van Dam Rob M , Teoh Yee Leong , Thumboo Julian , Bee Yong Mong
Published: October 2022

Objective

The Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program is a diabetes prevention trial comparing the diabetes conversion rate at 3 years between the intervention group, which receives the incentivized lifestyle intervention program with stepwise addition of metformin, and the control group, which receives the standard of care. We describe the baseline characteristics and compare Pre-DICTED participants with other diabetes prevention trials cohort.

Research design and methods

Participants were aged between 21 and 64 years, overweight (body mass index (BMI) ≥23.0 kg/m2), and had pre-diabetes (impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT)).

Results

A total of 751 participants (53.1% women) were randomized. At baseline, mean (SD) age was 52.5 (8.5) years and mean BMI (SD) was 29.0 (4.6) kg/m2. Twenty-three per cent had both IFG and IGT, 63.9% had isolated IGT, and 13.3% had isolated IFG. Ethnic Asian Indian participants were more likely to report a family history of diabetes and had a higher waist circumference, compared with Chinese and Malay participants. Women were less likely than men to meet the physical activity recommendations (≥150 min of moderate-intensity physical activity per week), and dietary intake varied with both sex and ethnicity. Compared with other Asian diabetes prevention studies, the Pre-DICTED cohort had a higher mean age and BMI.

Conclusion

The Pre-DICTED cohort represents subjects at high risk of diabetes conversion. The study will evaluate the effectiveness of a community-based incentivized lifestyle intervention program in an urban Asian context.
Experiences and challenges faced by patients with COVID-19 who were hospitalised and participated in a randomised controlled trial: a qualitative study
Authors: Hofstetter Lukas , Tinhof Viktoria , Mayfurth Hannah , Kurnikowski Amelie , Rathkolb Vincent , Reindl-Schwaighofer Roman , Traugott Marianna , Omid Sara , Zoufaly Alexander , Tong Allison , Kropiunigg Ulrich , Hecking Manfred
Published: October 2022

Objectives

As part of a randomised controlled trial, this qualitative study aimed to identify experiences and challenges of hospitalised patients with COVID-19 during illness and treatment (objective 1: COVID-19-related perspectives; objective 2: trial participation-related perspectives).

Design

Semistructured interviews following a prespecified interview guide, transcribed verbatim and analysed in accordance with the grounded theory process. Investigator triangulation served to ensure rigour of the analysis.

Setting

Interviews were embedded in a multicentre, randomised, active-controlled, open-label platform trial testing efficacy and safety of experimental therapeutics for patients with COVID-19 (Austrian Corona Virus Adaptive Clinical Trial).

Participants

20 patients (60±15 years) providing 21 interviews from 8 June 2020 to 25 April 2021.

Results

Qualitative data analysis revealed four central themes with subthemes. Theme 1, ‘A Severe Disease’, related to objective 1, was characterised by subthemes ‘symptom burden’, ‘unpredictability of the disease course’, ‘fear of death’ and ‘long-term aftermaths with lifestyle consequences’. Theme 2, ‘Saved and Burdened by Hospitalization’, related to objective 1, comprised patients describing their in-hospital experience as ‘safe haven’ versus ‘place of fear’, highlighting the influence of ‘isolation’. Theme 3, ‘Managing One’s Own Health’, related to objective 1, showed how patients relied on ‘self-management’ and ‘coping’ strategies. Theme 4, ‘Belief in Medical Research’, related to objective 2, captured patients’ ‘motivation for study participation’, many expressing ‘information gaps’ and ‘situational helplessness’ in response to study inclusion, while fewer mentioned ‘therapy side-effects’ and provided ‘study reflection’. Investigator triangulation with an expert focus group of three doctors who worked at the study centre confirmed the plausibility of these results.

Conclusions

Several of the identified themes (2, 3, 4) are modifiable and open for interventions to improve care of patients with COVID-19. Patient-specific communication and information is of utmost importance during clinical trial participation, and was criticised by participants of the present study. Disease self-management should be actively encouraged.

Trial registration number

NCT04351724.
Effects of chronic disease diagnoses on alcohol consumption among elderly individuals: longitudinal evidence from China
Authors: Hu Yue , Chen Qihui , Zhang Bo
Published: October 2022

Objectives

This study estimates the effect of chronic disease diagnoses (CDDs) on elderly Chinese individuals’ alcohol consumption behaviour.

Subjects and participants

Our analysis was applied to a publicly available dataset that covers 5724 individuals aged 50 or above and spans 15 years (2000–2015: six waves) from the China Health and Nutrition Survey.

Design

The outcome variables are elderly individuals’ weekly consumption of alcoholic beverages: beer, red wine, Chinese spirits and total alcohol intake. The explanatory variable of primary interest is the number of chronic diseases diagnosed (including hypertension, diabetes, stroke and myocardial infarction). Other covariates concern sample individuals’ sociodemographic and health-related characteristics. A Chamberlain-Mundlak correlated random-effect Tobit model is adopted to simultaneously account for the clustering of ‘zeros’ in the outcome variable and endogeneity issues such as omitted variables and reverse causality.

Results

Our estimation suggests that, on average, an additional chronic disease diagnosed by medical doctors reduced an elderly Chinese individual’s weekly consumption of beer, red wine and Chinese spirits, respectively, by 1.49 (95% CI −2.85 to –0.13), 0.93 (95% CI −1.63 to –0.23) and 0.89 (95% CI −1.23 to –0.54) ounces. These effects translate into a reduction of 0.95 (95% CI −1.29 to –0.60) ounces in total weekly alcohol consumption and a reduction of 24% (95% CI −0.35 to –0.14) in the incidence of excessive drinking. Further explorations suggest that elderly Chinese individuals’ alcohol consumption is most responsive to diabetes and stroke diagnoses, but the effects vary across different beverages. Moreover, males, rural residents, smokers and those living with non-drinkers respond to CDDs more strongly than their respective counterparts.

Conclusion

While CDDs reduced alcohol consumption among elderly Chinese individuals, they failed to stop all heavy drinkers from excessive drinking. Relevant policies and measures are thus needed to urge heavy drinking patients to quit excessive drinking.
Safety and efficacy of intensive systolic blood pressure lowering after successful endovascular therapy: a post hoc analysis of the BP TARGET trial
Authors: Anadani Mohammad , Maier Benjamin , Escalard Simon , Labreuche Julien , de Havenon Adam , Sabben Candice , Lapergue Bertrand , Mistry Eva A , Gory Benjamin , Spiotta Alejandro M , Richard Sébastien , Sibon Igor , Desilles Jean-Philippe , Blanc Raphael , Piotin Michel , Mazighi Mikaël
Published: October 2022

Background

The Safety and Efficacy of Intensive Blood Pressure Lowering after Successful Endovascular Therapy in Acute Ischaemic Stroke (BP TARGET) trial demonstrated no benefit from intensive systolic blood pressure (SBP) treatment after successful reperfusion with endovascular therapy. However, it remains unknown if the response to blood pressure treatment is modified by other factors.

Objective

To carry out a post hoc analysis of the BP TARGET trial data to determine if the response to blood pressure treatment is modified by factors such as age, history of hypertension, recanalization status, location of occlusion, diabetes, hyperglycemia, or pretreatment with intravenous thrombolysis.

Methods

This is a post hoc analysis of the BP TARGET trial. Patients were divided into groups based on age, diabetes, blood glucose, site of occlusion, history of hypertension, and pretreatment with intravenous thrombolysis. The primary outcome was any intraparenchymal hemorrhage.

Results

318 patients were included. Diabetes modified the treatment effect on favorable functional outcome (Pheteogenity=0.041). There was a trend towards benefit from intensive SBP treatment in diabetic patients (OR=2.81; 95% CI 0.88 to 8.88; p=0.08) but not in non-diabetic patients (OR=0.75; 95% 0.45 to 126; p 0.28). Age, location of occlusion, admission SBP, pretreatment with intravenous thrombolysis, and history of hypertension did not modify the effect of intensive SBP treatment on any of the outcomes.

Conclusion

The effect of SBP lowering treatment was not modified by age, location of occlusion history of hypertension, intravenous thrombolysis, and admission SBP. Diabetes modified the effect of intensive SBP lowering treatment, and there was a trend towards benefit from intensive SBP treatment in diabetic patients. This finding is hypothesis generating and requires further validation.
Problems and prospects of top equity fund in Indian corporate sector: A performance study of top equity funds
Authors: Mahapatra Rupsa , Das Kishore Kumar
Published: October 2022

Equity fund in Indian corporate sector plays a pivotal role for the advancement trade and business across the sector. The composition of equity fund and its share in the total capitalization is the reflection of financial health of the organization. The real stake holders are the equity shareholders, who are the real owners of the organization. The companies raise the part of required capital in the form of equity share from individuals as well as institutions. Major contributions are from the investment in equity-linked mutual funds. Present research is undertaken to address the number questions related to equity fund investment, trends, return to the stake-holder, performance, etc. To understand the present issues, it needs introspection of past research in these areas and formulation of a sustainable model to overcome these problems. The study considers the secondary data for analysis with help of the statistical tools like descriptive statistics and regression model with ANOVA and others.
Exploring Interdigitated Electrode Arrays Screen-Printed on Paper Substrates for Steady-State Electrochemical Measurements
Authors: Guajardo Yévenes C. F. , Wongkaew N. , Ngamchana S. , Surareungchai W.
Published: October 2022

This research explores the use of interdigitated electrode arrays (IDE) screen-printed on paper substrate for electrochemical measurements in steady state. Since the steady state is strongly related to IDE dimensions, the accuracy and reproducibility of the fabrication process were assessed for stencils of 120- and 200-mesh. Simulations were used to predict the limiting current and time response, and as a benchmark for comparison with the experimental results. For accurate an comparison, evaporation was prevented by using a homemade humidity box, which enabled measurements for periods as long as 30 min. Although cyclic voltammetry measurements in steady state were possible, this required at least 15 min per cycle when using the smallest electrodes (band width of 0.205 mm). Chronoamperometric measurements reaching steady state were also possible, requiring nearly 5 min for the largest electrodes (band width of 0.376 mm). Regarding the reproducibility of measurements, the relative standard deviations (RSD) of current and response time were near 12% and 26%, respectively. We attribute this mainly to the reproducibility of IDE fabrication (8% RSD). Experimental currents were approximately 30% to 34% of their simulated counterparts. Conversely, the simulated response times were about 30% to 50% of their experimental counterparts. We ascribe these discrepancies to the porosity of the paper (Whatman 2 CHR), estimated to be near 31% under wet conditions. This suggests that fibers inside the paper substrate block the passage of electrochemical species, thereby delaying their diffusion and decreasing the current.
Improved Low-Temperature Performance of Li-S Batteries via “Solid-Solid” Conversion of Sulfur
Authors: Ji Haijin , Chen Xue , Cheng Zexiao , Yuan Lixia , Miao Ziyun , Xiang Jingwei , Zhang Yi , He Bin , Meng Jintao , Li Zhen , Huang Yunhui
Published: October 2022

Lithium-sulfur (Li-S) batteries under the traditional “solid-liquid-solid” cathode process experience serious capacity degradation at low temperatures, because the intermediate polysulfides which dissolved into the electrolyte tend to cluster. Herein, a “solid-solid” conversion of sulfur is realized via an in situ formed protective layer on the cathode surface which separates the sulfur species from the electrolyte. So that the dissolution and agglomeration problem of the polysulfides is suppressed. As a result, the sulfur cathode via “solid-solid” conversion demonstrates a significantly improved low-temperature performance, even under lean electrolyte condition. This work provides a promising direction for developing available Li-S batteries under cryogenic conditions.
Parametric Optimization of Abrasive Water Jet Cutting on AA 5083 through Multiobjective Teaching-Learning Method
Authors: Meenakshi Reddy R. , Logesh K. , Alagarsamy S. V. , Nagaraj A. , Chaturvedi Rishabh , Kalyan Ram Mylavarapu , Seikh A. H. , Siddique M. H. , Hailu Beruk
Published: October 2022

The industrial sector is seeing an increase in the development of new technologies on a daily basis. Manufacturing advancements have resulted in low-intensity, inadequate outputs from cutting materials. The application of engineering materials requires cutting to produce the desired shapes and sizes. The material’s fundamental attributes are altered and utilised to improve machinability. Due to its significant benefits over traditional cutting processes, abrasive water jet cutting (AWJC) is now the most popular nonconventional machining for attaining the best cutting of any material. Because of its highly pressurised water power, the substance can quickly be separated from some properties by the use of a small pin with various kinds of abrasives. Due to the time-consuming process of cutting materials, determining optimal cutting conditions for the multiobjective criteria examined is a tough issue in techniques needing large resources. The operational parameters of the abrasive water jet cutting system must be changed in this article to achieve the lowest possible surface roughness while also attaining the maximum possible material removal rate. The abrasive water jet cutting method was utilised in this investigation to see how effectively the AA5083 aluminium alloy could be sliced. Water pressure, transverse speed, stand-off distance, and abrasive flow rate are some of the major cutting parameters that may be adjusted such that the output values such as material removal rate and surface roughness are at their optimal levels.
Integrative Bioinformatics Analysis Revealed Mitochondrial Dysfunction-Related Genes Underlying Intervertebral Disc Degeneration
Authors: Zhu Zhengya , He Zhongyuan , Tang Tao , Wang Fuan , Chen Hongkun , Li Baoliang , Chen Guoliang , Wang Jianmin , Tian Wei , Chen Dafu , Wu Xinbao , Liu Xizhe , Zhou Zhiyu , Liu Shaoyu
Published: October 2022

Objective. Mitochondrial dysfunction plays an important role in intervertebral disc degeneration (IDD). We aim to explore the pathways and key genes that cause mitochondrial dysfunction during IDD and to further reveal the pathogenesis of IDD based on bioinformatic analyses. Methods. Datasets GSE70362 and GSE124272 were downloaded from the Gene Expression Omnibus. Differentially expressed genes (DEGs) of mitochondrial dysfunction between IDD patients and healthy controls were screened by package limma package. Critical genes were identified by adopting gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG) pathways, and protein-protein interaction (PPI) networks. We collected both degenerated and normal disc tissues obtained surgically, and we performed western blot and qPCR to verify the key DEGs identified in intervertebral disc tissues. Results. In total, 40 cases of IDD and 24 healthy controls were included. We identified 152 DEGs, including 67 upregulated genes and 85 downregulated genes. Four genes related to mitochondrial dysfunction (SOX9, FLVCR1, NR5A1 and UCHL1) were screened out. Of them, SOX9, FLVCR1, and UCHL1 were down-regulated in peripheral blood and intervertebral disc tissues of IDD patients, while NR5A1 was up-regulated. The analysis of immune infiltration showed the concentrations of mast cells activated were significantly the highest in IDD patients. Compared with the control group, the level of T cells CD4 memory resting was the lowest in the patients. In addition, 24 cases of IDD tissues and 12 cases of normal disc tissues were obtained to verify the results of bioinformatics analysis. Both western blot and qPCR results were consistent with the results of bioinformatics analysis. Conclusion. We identified four genes (SOX9, FLVCR1, NR5A1 and UCHL1) associated with mitochondrial dysfunction that play an important role in the progress of disc degeneration. The identification of these differential genes may provide new insights for the diagnosis and treatment of IDD.
Analysis of Passenger Flow Characteristics of Urban Rail Transit Based on Spatial Data Dynamic Analysis Technology
Authors: Zhang Yan , Li Ningchuan
Published: October 2022

Based on spatial data dynamic analysis technology, the characteristics of urban rail transit passenger flow are analyzed. This study analyzes the passenger flow characteristics of urban rail transit from the perspective of operation and planning by using the dynamic analysis technology of spatial data, combined with social and economic development. Based on the analysis of research data from the study of passenger traffic and passenger traffic data measurement, the characteristics of passenger traffic from urban railways are derived from the time distribution, spatial distribution, and transfer of passengers waiting on the platform. The final length of line 3 is 39.7 m, the passenger volume is 102, with 11 people/day, the passenger flow density is 1.8/2.3, and the high section in peak hours is 2.4/3.2. By considering the various influencing factors, efforts should be made to develop urban rail transit projects to promote the growth of social and economic benefits.
[Retracted] Construction of Stomach Cancer Lesion Detection Combined with Drug Therapy Based on Artificial Intelligence
Authors: Zhai Shengyong , Yu Lihong , Li Jing
Published: October 2022

The number of stomach cancer (SC) patients is increasing sharply every year, and gastroscope is a common method to check stomach‐related diseases. A bulging lesion in the stomach is encountered during a gastroscopy. Due to the change in eating habits, the enhancement of health awareness, and the wide application of gastroscopy, the detection rate and cure rate of tumors have been significantly improved. This has certain clinical value for the early diagnosis and treatment of early SC. In this paper, based on the background of artificial intelligence, image segmentation technology is used to analyze and process the detection results of SC, so as to judge the effect of drug treatment. A total of 1408 gastric bulge lesions were investigated in 11023 patients during the one‐year period 2019‐2020. It also analyzed the age, lesion location, size, pathological type, and tumor detection results of 1408 patients. The experiment showed that among the 289 cases of submucosal bulging lesions, the detection rates of the young group, middle‐aged group, and elderly group were 14.9% (43/289), 67.5% (195/289), and 17.6% (51/289), respectively. Among them, middle‐aged people aged 41–65 have the highest detection rate. The incidence of gastric polyps was similar between different age groups. But with age, the rate of fundic gland polyps increases. The incidence of SC is not related to the age of the patient, but to its pathological type. The incidence of SC in middle‐aged and elderly people is significantly higher than that in young people. SC is more common in the cardia, and gastrointestinal stromal tumors are most common with submucosal protrusion.
Chemokine/GPCR Signaling-Mediated EMT in Cancer Metastasis
Authors: Tian Xutengyue , Wang Jiayi , Jiang Lanxin , Jiang Yuchen , Xu Juan , Feng Xiaodong
Published: October 2022

Metastasis, the chief cause of cancer-related deaths, is associated with epithelial-mesenchymal transition (EMT). In the tumor microenvironment, EMT can be triggered by chemokine/G-protein-coupled receptor (GPCR) signaling, which is closely associated with tumor progression. However, the functional links between chemokine/GPCR signaling-mediated EMT and metastasis remain unclear. Herein, we summarized the mechanisms of chemokine/GPCR signaling-mediated EMT with an insight into facilitating metastasis and clarified the role of chemokine in the local invasion, intravasation, circulation, extravasation, and colonization, respectively. Moreover, several potential pathways that might contribute to EMT based on the latest studies on GPCR signaling were proposed, including signaling mediated by G protein, β-arrestin, intracellular, dimerization activation, and transactivation. However, there is still limited evidence to support the EMT programme functional contribution to metastasis, which keeps a key question still open whether we should target EMT programme of cancer cells. Answers to that question might help develop an anticancer strategy or guide new directions for anticancer metastasis therapy.
Quality of Life and Surgical Outcome of Transoral Endoscopic Thyroidectomy Vestibular Approach (TOETVA) versus Open Thyroid Surgery: Experience from a Single Center in Vietnam
Authors: Xuan Nguyen Hau , Nguyen Hien Xuan , Thi Hoang Hoai , Van Le Quang
Published: October 2022

Background. It has been widely assumed that TOETVA has demonstrated a new technique and a promising approach as it is both minimally invasive and optimally cosmetic. The objective of this study was to assess the surgical outcome, aesthetic satisfaction, and postoperative quality of life of TOETVA in comparison with open thyroid surgery. Patients and Methods. The study was designed as a prospective study, in which 121 patients from a single center in Vietnam underwent thyroid surgery, and the study was divided into two groups: 60 patients in the TOETVA group and 61 patients in the open surgery group. The patients have been followed up including surgical outcomes, cosmetic satisfaction, and quality of life. These criteria were assessed at 4 weeks, 8 weeks, and 12 weeks after the surgery using SF-36 and thyroid surgery-specific questionnaire. Results. Patients in the TOETVA group are significantly younger than patients in the open surgery group (35.8 + 10.3 vs 46.9 + 11.5,

p
<
0.001

). The mean operating time was longer in the TOETVA group (102.9 ± 26.1 mins) than that in the open surgery group (66.8 ± 23.8 mins) with

p
=
0.0001

. Cosmetic outcomes and overall satisfaction were significantly greater in the TOETVA group

p
=
0.0001

. The SF-36 QOL scores of the patients in the TOETVA group were generally higher than the open surgery group. Conclusions. TOETVA has been widely used with a low complication rate, cosmetic appeal, and surgical efficacy. Postoperative quality of life, cosmetic outcomes, and overall satisfaction were significantly superior to the open surgery group.
Modeling and Nonlinear Control of a Quadcopter for Stabilization and Trajectory Tracking
Authors: Abdulkareem Ademola , Oguntosin Victoria , Popoola Olawale M. , Idowu Ademola A.
Published: October 2022

This paper presents an adequate mathematical representation of a quadcopter’s system dynamics and effective control techniques. A quadcopter is an unmanned aerial vehicle (UAV) that is able to do vertical take-off and landing. This study presents a nonlinear quadcopter system’s mathematical modeling and control for stabilization and trajectory tracking. The mathematical model of the system dynamics of the quadcopter is derived using Newton and Euler equations with proper references to the appropriate frame or coordinate system. A PD control algorithm is developed for the nonlinear system for stabilization. Another nonlinear control technique called full state feedback linearization (FBL) using nonlinear dynamic inversion (NDI) is developed and implemented on the quadcopter system. However, there is a problem with the normal approach of the complete derivation of the full state FBL system using NDI as gathered from the literature review. In such an approach, the PD controller that was used for attitude stabilization was able to stabilize the angles to zero states, but the position variables cannot be stabilized because the state variables are not observable. Thus, a new approach where the position variables are mapped to the angle variables which are controllable so as to drive all states to zero stability was proposed in this study. The aim of the study was achieved but the downside is that it takes a longer time to achieve this stability so it is not efficient and should only be considered when absolute zero stability is the aim without considering time efficiency. The study further investigates the problem of nonlinear quadcopter system’s mathematical modelling and control for stabilization and trajectory tracking using the feedback linearization (FBL) technique combined with the PD controller. The proposed control algorithms are implemented on the quadcopter model using MATLAB and analyzed in terms of system stabilization and trajectory tracking. The PD controller produces satisfactory results for system stabilization, but the FBL system combined with the PD controller performs better for trajectory tracking of the quadcopter system.
A Dynamic Prediction Neural Network Model of Cross-Border e-Commerce Sales for Virtual Community Knowledge Sharing
Authors: Tian Li , Wang Xiumei
Published: October 2022

In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the sales dynamics prediction of virtual community knowledge sharing in cross-border e-commerce. Both the expected returns and the social network structure are analyzed, and both have positive effects on knowledge sharing in the actual development process, but the degree of them also possesses certain variability. A model of the factors influencing the quality of knowledge shared by users is constructed to explore the relationship between the dimensions in social capital and how they affect the community users’ perceptions of knowledge quality. Exploring the strong influencing factors of product repurchase rate has key implications for promoting product sales and sales forecasting. The scale of this paper has undergone several minor revisions, and the content validity is very good. Criterion validity is generally reflected by Person correlation coefficient, and construct validity includes exploratory factor analysis and confirmatory factor analysis. First, the values were clustered, and the optimal variables were selected using stepwise regression and fitted with Poisson regression models to explore the relationship between the repurchase rate of different products and the factors that strongly influence the repurchase rate in the case. To predict the sales of goods, the advantages of the BP neural network, LSTM neural network, and Verhulst gray model are combined: BP neural network can predict sales by combining the current data corresponding to independent variables, LSTM neural network can explore the influence of historical data on sales, and Verhulst model can predict sales based on the growth trend of variables. A BP-LSTM-Verhulst nested neural network based on the AP algorithm is constructed to predict sales volume, and the accuracy of this method is proved by example. Finally, it is found that the proposed sales prediction method has higher accuracy than exponential regression and shallow neural networks. The deep learning prediction method combining unstructured data such as images proposed in the paper not only provides a more accurate sales prediction method for short life cycle products in e-commerce but also provides an effective deep learning method for management practices. The KMO value obtained after the test is less than 0.5, which is not suitable for factor analysis. Using SPSS22.0 to expand the KMO value and Bartlett’s sphericity test, the KMO value is significantly greater than the minimum requirement of 0.5, the KMO value of self-efficacy is 0.826, and the KMO value of expected return is 0.870.
Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing
Authors: Yuan Xiaoliang
Published: October 2022

The global economy is growing faster and faster. Behavioral finance is a transformation of financial theory. Over the past decade, this shift has had strong repercussions in academia, challenging the dominance of traditional finance and forming its own theoretical system. With the development of the stock market, traditional financial theories and behavioral financial theories continue to converge, and traditional financial theories based on investor rationality and efficient market assumptions are subject to unprecedented conjectures. Financial markets are affected by subjective factors such as people’s behaviors and emotions. Investors always make decisions based on bounded rationality, cognitive deficits, and, ultimately, rationality. In order to avoid the complex and unpredictable risks of financial markets and understand their changing laws, the analysis of the characteristics of financial instability is conducive to understanding the nature and internal principles of financial markets. Analysis of the volatility characteristics of financial markets must give priority to the analysis of financial chronological order. Financial time series are characterized by differences in financial markets, which are indeterminate orders, and the analysis of their fluctuations becomes crucial for stimulating the microstructure of financial behavior markets. Therefore, in order to give full play to the role of edge computing and promote the controllability of behavioral financial market volatility, this paper used the calculation task load model algorithm, time slot length optimization algorithm, asymmetric thick-tail random fluctuation, and volatility analysis application algorithm to study the subject of how to learn to reduce financial market volatility, summarizing and discussing the experiment. The research results showed that the behavioral financial market volatility mechanism based on edge computing constructed in this paper improved the predictability of financial market volatility by 15%.
Deep Learning Methods for Malware and Intrusion Detection: A Systematic Literature Review
Authors: Ali Rahman , Ali Asmat , Iqbal Farkhund , Hussain Mohammed , Ullah Farhan
Published: October 2022

Android and Windows are the predominant operating systems used in mobile environment and personal computers and it is expected that their use will rise during the next decade. Malware is one of the main threats faced by these platforms as well as Internet of Things (IoT) environment and the web. With time, these threats are becoming more and more sophisticated and detecting them using traditional machine learning techniques is a hard task. Several research studies have shown that deep learning methods achieve better accuracy comparatively and can learn to efficiently detect and classify new malware samples. In this paper, we present a systematic literature review of the recent studies that focused on intrusion and malware detection and their classification in various environments using deep learning techniques. We searched five well-known digital libraries and collected a total of 107 papers that were published in scholarly journals or preprints. We carefully read the selected literature and critically analyze it to find out which types of threats and what platform the researchers are targeting and how accurately the deep learning-based systems can detect new security threats. This survey will have a positive impact on the learning capabilities of beginners who are interested in starting their research in the area of malware detection using deep learning methods. From the detailed critical analysis, it is identified that CNN, LSTM, DBN, and autoencoders are the most frequently used deep learning methods that have effectively been used in various application scenarios.
[Retracted] The Application and Development of Mural Art in Urban Public Environment Landscape Design
Authors: Zhou Weihua
Published: October 2022

With the gradual improvement of social and economic levels, cities not only meet people’s basic living needs, but also have an artistic expression to a certain extent, and the public pays more attention to the beauty of the external environment. Landscapes in cities are settlement landscapes characterized by man‐made landscapes, which are not only a cultural resource but also an ecological environment resource. Murals are also the first works of art of mankind. According to records, murals are the largest number of artworks in China. It is a popular work of art, representing social functions with historical value, aesthetic value, political significance, and educational function. Due to the great influence of the latest technology and emerging technology on urban art concepts, murals are widely used in urban public landscapes in Europe and America. Its grand and strong space coverage, not wasting too much space, and its imperceptible influence on vision make it the main element of urban public art. Therefore, the mural design in the urban public environment can improve China’s current urban atmosphere and enhance urban characteristics. Bring the citizens a historical and cultural understanding of the urban environment they live in and enjoy art. According to the interrelationship between the city and the public environment and the human mural art, based on the relevant theoretical knowledge of urban planning and design, urban public art management, and based on the basic characteristics of human mural art, this study combines a large number of domestic and foreign cases, starting from the characteristics of the natural environment and human urban environment. This article studies the relationship between mural design and architectural design concepts and concepts in urban public environment landscape design.
Preliminary Investigation of the Potentialities of a Mesoscale Meteorological Model to Reproduce Experimental Statistics of Rain Attenuation on Earth-Space Links
Authors: Castanet Laurent , Le Mire Valentin , Queyrel Julien , Boulanger Xavier , Féral Laurent
Published: October 2022

Current spatial resolutions achieved by mesoscale weather forecast models allow them to be used to generate the state of the lowest layers of the atmosphere over areas as small as a few square kilometers which corresponds to the typical size of the tropospheric area crossed by Earth-space links. Furthermore, they allow the evolution of the troposphere to be predicted with a time stamp of five minutes instead of every hour with large-scale weather forecast models which makes them attractive for radio propagation predictions for satellite communication applications. This paper aims at studying the capability of the Weather Research and Forecast (WRF) model coupled with an electromagnetic physical model to reproduce rain attenuation statistics for Earth-space paths at Ka-band. To this purpose, one year of propagation measurements collected at 20 GHz in different places at midlatitudes in Toulouse and Salon de Provence (France), Spino d’Adda (Italy), Aveiro (Portugal), and Madrid (Spain), at high latitudes in Svalbard (Norway) and at low latitudes in Kourou are used to make comparisons between simulations and measurements. Comparisons between the simulated and the experimental annual statistics considered in this paper provide encouraging results, with a similar accuracy as Recommendation ITU-R P.618–13 for midlatitude European locations and with better accuracy for a high latitude area in Svalbard and for an equatorial location in French Guiana.
Long-Term Follow-Up Results of Adjuvant Intensity-Modulated Radiotherapy with Concurrent Paclitaxel and Cisplatin in High-Risk Endometrial Cancer Patients
Authors: Shu Pei , Wang Xin , Ouyang Ganlu , Zhou Jitao , Zhao Yaqin , Wang Fang , Li Zhiping , Shen Yali
Published: October 2022

Purpose. The purpose of this study was to retrospectively review the outcomes of patients with high-risk endometrial cancer treated with adjuvant radiotherapy with concurrent paclitaxel and cisplatin (TP). Methods. Patients with endometrial cancer who underwent radical surgery were screened between Jan 2005 and Dec 2018. Patients with high-risk factors who received adjuvant chemoradiotherapy were included in the study. High risks included stage I, endometrioid-type grade 3 with deep myometrial invasion or lymphovascular space invasion (or both), endometrioid-type stage II to IVa, or stage I to III with serous or clear cell histology. The adjuvant treatment regimen included one cycle of TP chemotherapy, followed by pelvic intensity-modulated radiotherapy (IMRT) with concurrent TP, followed by an additional one cycle of TP. Failure free survival (FFS) and overall survival (OS) were estimated. Patterns of recurrence and occurrence of adverse events were described. Results. A total of 450 patients with high-risk endometrial cancer were screened, 231 of whom were included in this study. After a median follow-up of 70 months, the 5-year OS was 94.7%, and the 6-year OS was 91.8%. The 5-y and 6-y FFS were 90.8% and 87.9%, respectively, which were related to stage (

P
<
0.05

). A total of 14 patients experienced tumor recurrence, including 7 pelvic recurrence and 7 distant metastases. Seven patients died, all due to tumor progression. A total of 164 patients (71%) completed the prescribed course of treatment. A total of 205 patients had adverse events, 46 patients (20%) had grade 1, 92 patients (40%) had grade 2, 49 patients (21%) had grade 3, and 18 patients (8%) had grade 4. There were 83 nonhematologic and 122 hematologic toxicities (26 grade 3 and 18 grade 4). Conclusion. Adjuvant pelvic radiotherapy combined with synchronous TP chemotherapy can achieve excellent long-term survival for high-risk endometrial cancer patients. Moreover, this combination therapy has good safety and feasibility, which is worthy of further study and verification.
Application of Challenging Learning Based on Human-Computer Interaction under Machine Vision in Vocational Undergraduate Colleges
Authors: Hu Bin , Hong Xueqiong
Published: October 2022

Science and technology have progressed in recent years, the deepening of talent education, a challenging learning method of human-computer interaction has gradually emerged. Human-Computer Interaction (HCI for short) is the communication and interaction between humans and machines. This essay aims to apply the challenging learning combined with HCI to vocational undergraduate colleges. The GMM (that is Gaussian mixture model algorithm, commonly used in image recognition or speech recognition, etc.) algorithm is proposed in this essay to recognize students’ actions. The effect of HCI is achieved by feeding back the recognized actions to the system. This essay selects 200 students from a vocational undergraduate college for challenging learning (that is, a comprehensive teaching method aiming at students’ autonomous learning by stimulating students’ interest in learning). The challenging learning designed in this essay is divided into 15 weeks, the task chain contains a total of 196 tasks, and the learning time is 138 h. This essay analyzes the application effects of liberal arts, male and female students, and different grades. The results show that the overall average completion rates of learning tasks for freshman, sophomore, and junior students are about 70%, 75%, and 85%, respectively, and the overall average scores for challenging learning are about 70, 78, and 83. The overall completion rate of weekly tasks for boys and girls is about 68% and 70%, and the overall average score is about 70 points and 75 points. The weekly task completion rate of liberal arts students is generally above 75%, and the overall average score is about 70 points. The overall completion rate of science students is less than 75%, and most of the learning scores are higher than 75 points. In addition, the average accuracy of the GMM algorithm for face and gesture recognition is 90% and 87%. The average frequency of students using HCI is about 320 times a day; the average score of students’ experience effect of HCI is about 80 points. It may be stated that the HCI demanding learning strategy proposed in this study worked well and has achieved satisfactory learning results in the application of vocational undergraduate colleges.
Study on Risk Factors Related to Intrauterine Adhesion Based on Meta-Analysis
Authors: Li Sijing
Published: October 2022

Objective. Intrauterine adhesion (IUA) is a severe complication that occurs following abortion. To evaluate the related risk factors of uterine cavity adhesion by meta-analysis. Methods. The research literature on the influencing factors of patients with intrauterine adhesions published from January 2010 to December 2020 in PubMed, EMBASE, Cochrane Library, web of science, CNKI, Wanfang Data, VIP, and CBM were retrieved by computer. Two evaluators independently screened the literature, extracted the data, and evaluated the treatment according to the inclusion and exclusion criteria and then analyzed it with revman5.3 software. Results. Finally, 12 literatures were included, with a total sample size of 2341 cases. The results of meta-analysis showed that pelvic inflammation (

p
=
0.05

), negative pressure during uterine suction (

p
<
0.0001

), and uterine suction time (

p
<
0.00001

) were the risk factors for uterine cavity adhesion. The combined or and 95% CI of each factor were 2.05 (1.24, 3.38), 125.61 (67.35, 183.87), and 4.52 (4.21, 4.84), respectively. However, the number of pregnancies, the number of curettages, the average number of births, abortion, myomectomy, menstrual abnormalities, and infertility have little impact on the occurrence of intrauterine adhesions (

p
>
0.05

). Conclusion. Pelvic inflammatory disease, negative pressure during uterine suction and uterine suction time are the risk factors leading to uterine cavity adhesion.
Nuclear and Morphological Alterations in Erythrocytes, Antioxidant Enzymes, and Genetic Disparities Induced by Brackish Water in Mrigal Carp (Cirrhinus mrigala)
Authors: Raza Ghulam Ali , Ghaffar Abdul , Hussain Riaz , Jamal Adil , Ahmad Zulfiqar , Mohamed Bahaeldeen Babiker , Aljohani Abdullah S. M.
Published: October 2022

Salinization of aquatic ecosystem, abrupt climate change, and anthropogenic activities cause adverse impact on agricultural land/soil as well as the aquaculture industry. This experimental study was designed to evaluate different biomarkers of oxidative stress, antioxidant enzymes, and genotoxic potential of diverse salinities of brackish water on freshwater fish. A total of 84 fresh water mrigal carp (Cirrhinus mrigala) were randomly segregated and maintained in four groups (T0, T1, T2, and T3) in a glass aquarium under similar laboratory conditions at various salinity levels (0, 3, 5, and 7 parts per thousand) to determine the pathological influence of brackish water. All the fish in groups T1, T2, and T3 were exposed to various salinity levels of brackish water for a period of 90 days while the fish of group T0 served as the control group. The experimental fish reared in different groups T1, T2, and T3 displayed various physical and behavioral ailments. The results revealed significantly augmented quantity of different oxidative stress indicators including reactive oxygen species (ROS) and thiobarbituric acid reactive substance (TBARS) in different visceral tissues (kidneys, liver, and gills) of exposed fish. Different antioxidant enzymes such as reduced glutathione (GSH), peroxidase (POD), superoxide dismutase (SOD), and catalase (CAT) along with total proteins were remarkably reduced in the kidneys, gills, and liver tissues. Results showed significantly increased values of different nuclear abnormalities (erythrocyte with micronucleus, erythrocyte with condensed nucleus, and erythrocyte with lobed nucleus) and morphological changes (pear shaped erythrocyte, spindle-shaped erythrocytes, and spherocyte) in red blood cells of experimental fish. The results on genotoxic effects exhibited significantly increased DNA damage in isolated cells of liver, kidneys, and gills of exposed fish. The findings of our experimental research suggested that brackish water causes adverse toxicological impacts on different visceral tissues of fresh water fish at higher salinity level through disruption and disorder of physiological and biochemical markers.
Implementation of Solar Heat Energy and Adsorption Cooling Mechanism for Milk Pasteurization Application
Authors: Ramkumar G. , Arthi B. , Jebaseelan S. D. Sundarsingh , Gopila M. , Bhuvaneswari P. , Radhika R. , Kailo Geremew Geidare
Published: October 2022

The use of renewable energy is crucial to the global growth of sustainability. Milk business amongst many other food industry divisions requires a significant amount of energy, making the meal processing business one of the most energy-intensive industries. As of right now, more than 30 percent of the dairy produced in India is processed. In distant parts of India, milk spoiling is more common due to the delay among milking and storing; as a result, facilities for quick pasteurization and storage are needed. Heated is necessary for pasteurization. Since for a long time, the Indian milk industry has relied on nonrenewable energy sources, that are not only becoming much more costly but are also to blame for significant environmental issues including greenhouse gases and health issues. Consequently, scientific communities, environmental and social organizations, and the governments have all pushed the use of green energy. Solar energy has been shown to be the most viable among various sustainable and renewable energies given the geographical position of India. Solar energy can be used to pasteurize milk because of the energy intensity and range of temperature requirements. Adsorbent refrigerator is recommended here since it is powered by waste/solar heat and can store (200 liters of milk) at low temperatures until it is distributed after the pasteurization process (easily available from farm waste). The solar collector of evacuated tube is used for minimizing heat loss and pasteurizing milk. The outcome demonstrates that milk can be simply pasteurized at 73°C for 25minutes at a flow rate of 5 liter per minutes. A solar energy adsorbent refrigeration system has been constructed and described for keeping 200 liters of milk at 10-15°C for 9–11 hours. Investigation findings indicate that the specific cooling power of the system is sufficient to store 200 liters of milk at 5.8 kW/kg and 5.5 kW/kg for 500 liter per hours hot water supplied at 92°C, 32°C condenser temperatures, and 5°C evaporator temperatures. The heat loss of evacuated tube collector is compared to solar concentrator. The study results provide evacuated tube collector is better for pasteurizing milk since to its highly efficient, longevity, and compactness.