bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Knowledge, Awareness, and Factors Associated with Diabetes: A Cross-Sectional Community-Based Study
Authors: Syed Wajid , Alharbi Mohammad K. , Samarkandi Osama A. , Alsadoun Ahmed , Al-Rawi Mahmood Basil A. , Iqbal Ayesha , Samreen Sana
Published: July 2022

Background and objectives. Lack of knowledge and awareness about the disease is generally associated with wicked health outcomes. Diabetes is a chronic endocrine disease, affecting people of both genders and across all age groups, and is currently considered a major public health challenge globally. This study aims to assess the public’s knowledge, awareness, and associated demographic factors among general community. Methods. A cross-sectional study was carried out for over 4 months from May to August 2020 using a self-administered, anonymous online questionnaire. All adults of both genders were invited to participate in the study. Individuals who are able to read and understand the English language were included in the study. Data were descriptively analyzed using a statistical package for social science version 26 (SPSS). Results. A total of 427 subjects responded to the questionnaires. More than half of them were male 253 (59.3%), while 174 (40.7%) were female, approximately 49% had a university degree, and 196 (45.9%) were postgraduates. The mean age of the participants was 25.7 ± 6.2 (mean ± SD). Most of them were single 230 (53.9%). The majority of the respondents 367 (85.9%) had heard of hyperglycemia, while a comparable number of 366 (85.7%) were aware of it being a lifelong disease. About 305 (71.4%) of participants knew that genetic factors were associated with hyperglycemia, and more than half of 250 (58.5%) knew that diabetes causes foot problems. There was a significant association between the cause of diabetes with income and educational status (

p

 < 0.05) and diabetic complications with age, education, and family income (

p

 < 0.05). Conclusion. In conclusion, there is a need for greater awareness and additional education regarding hyperglycemia among the general community in the state of Telangana, India, to reduce the incidence of diabetes and associated risk factors. Public health campaigns that encourage healthier lifestyles might help achieve this aim.
Research on Three‐Phase Unbalanced Commutation Strategy Based on the Spotted Hyena Optimizer Algorithm
Authors: Zhang Yi , Sun XianBo , Zhu Li , Yang ShengXin , Sun YueFei
Published: July 2022

Aimed at that ubiquitous three‐phase unbalance problem in low‐voltage distribution networks, the spotted hyena optimizer (SHO) algorithm is used to optimize the commutation strategy of the three‐phase load unbalance. A multitarget swapping mathematical model was designed, and the objective was quickly resolved by relying on the excellent commutation strategy of the SHO. Finally, a case analysis was carried out on the data of a station area in Enshi, Hubei Province, and the results verify this swapping strategy can effectively reduce the unbalance rate.
Construction of Grid Reliability Assessment Model Based on Sensitivity Analysis
Authors: Zhang Liming , Wu Yaxiong , Li Hao , Liu Yong
Published: July 2022

The traditional reliability of power supply only focuses on the continuity of power supply and does not include the impact of power quality on customers in the assessment. In this paper, we use “the ability of the grid to provide continuously available power to customers” as the criterion to reflect more realistically the level of reliability perceived by customers. This reliability assessment, which is closer to the customer’s perspective, can also be used as a basis for quality-based pricing in the electricity market that is acceptable to both the supplier and the consumer, and the difference between the reliability of electricity consumption and the reliability of electricity supply statistics can also be used by power supply companies to evaluate their own power supply quality and service level. This paper uses the AC algorithm to calculate the reliability indexes of the power system in combination and proposes to use the component sensitivity analysis to rank the system components to obtain the key component information for the combination of the power system reliability indexes.
Fusion of Digital Printmaking and Traditional Printmaking Using Edge Computing Optimization Model
Authors: Zhang Hao , Jiao Tingyu , Yang Shuo
Published: July 2022

With the development of the digital age, the hardware equipment and system software of digital painting are becoming more and more popular, and the penetration of digital technology in the field of printmaking is getting deeper and deeper. However, traditional skills are gradually being eroded under the pressure of a homogeneous and efficient modern digital society. This paper aims to use the edge computing optimization model to provide a new path for the integration of digital prints and traditional prints. While retaining the exquisite skills of traditional printmaking, it also uses modern digital technology to make digital printmaking more alive. Based on this, this paper focuses on analyzing the optimization model of edge computing, and it optimizes the upload and downlink transmission for the creation of digital prints. Through experiments, it is found that the system energy consumption of the initialization scheme does not change with the change of T, while the system performance of the MEC optimization scheme has been improved, and the improvement range is between 80% and 100%. As T grows, the optimization of the task assignment variable

L

u

will improve the overall system performance.
Analysis of the Influence of Whipstock Point Position of Directional Drilling through Embankment on the Stability of Embankment Slope against Sliding
Authors: Yu Jinhuang , Liu Jinjie , Jiang Zhenzhen , Kang Xiaofang
Published: July 2022

With the increasing number of river‐crossing pipeline projects, many studies have focused on the safety and stability of embankment slopes in horizontal directional drilling crossing embankment construction. In addition, it is challenging to study the influence of key processes in directional drilling construction on the antisliding stability of embankment slopes. A model of horizontal directional drilling crossing the Shaying River embankment was developed by using the numerical simulation software FLAC3D, and the strength reduction method is used to analyze the antisliding stability of the embankment after crossing the embankment. In this study, the effect of the position of the whipstock point on the antisliding stability of the embankment slope was considered. The analysis shows that when the inclined point is located below the center of the embankment, the anti‐sliding stability of the embankment is the most unfavorable, and the construction should try to avoid the whipstock point below the center of the embankment. It was also determined that when the vertical distance between the oblique point and the crest of the embankment is exceeding 13 m, the impact on the antisliding stability of the embankment can be ignored.
Investigation on Calculation Method of Permeability Coefficient in the Consolidation Process of Cohesive Soil
Authors: Zhou Mei , Dang Faning , Ding Jiulong , Zhang Le , Liang Xinyu
Published: July 2022

In order to study the permeability characteristics of cohesive soil in the consolidation process more accurately, in this work, the pores occupied by the combined water were defined as invalid pores, and the effective pores and ineffective pores were decoupled to study the relationship between effective pores and permeability coefficient. The widely used empirical formulas of the permeability coefficient were modified, and the empirical formulas of the permeability coefficient suitable for the consolidation process of cohesive soil were obtained. Combined with the

e
−
lg
σ

relationships of normally consolidated soil, underconsolidated soil, and overconsolidated soil, the formulas of permeability coefficient, which considering the influence of initial consolidation state and consolidation stress, in the consolidation process of cohesive soil, were proposed. Finally, the rationality of the new formulas proposed in this paper was analyzed by indoor consolidation-permeability test and existing research. The results showed that the permeability coefficient of cohesive soil in the consolidation process predicted by the new formulas were more consistent with the measured average value. This study possesses practical engineering significance to solve the problem of foundation consolidation settlement.
[Retracted] Application Value Analysis of Nanooptical Materials in Martial Art Single‐Kick Protective Equipment
Authors: Yu Shengwei
Published: July 2022

If there is no protective equipment in martial art single practice, it is very easy to be injured, so protective equipment in martial arts has been paid more and more attention. The protective effect of Wushu Sanda protective gear is related to the safety of every Wushu Sanda practitioner. The purpose of this paper is to study crystalline nanooptical materials and Wushu Sanda protective gear and propose the idea of using more crystalline nanooptical materials in the manufacture and use of Wushu Sanda protective gear. This paper mainly introduces the related content of crystalline nanooptical materials, martial art single‐leg kick, and martial art single‐leg protective gear and conducts experiments on crystalline nanooptical materials and martial art single‐leg protective gear based on crystalline nanooptical materials. The experimental results show that the protective effect of protective equipment based on crystalline nanooptical materials can play a greater role than traditional protective equipment. In the experiments in this paper, the martial art single‐leg kicking protective gear based on crystalline nanooptical materials has at least a 10% improvement in protective effect.
An Adaptive Time-Stepping Algorithm for the Allen–Cahn Equation
Authors: Lee Chaeyoung , Park Jintae , Kwak Soobin , Kim Sangkwon , Choi Yongho , Ham Seokjun , Kim Junseok
Published: July 2022

In this paper, we present a simple and accurate adaptive time-stepping algorithm for the Allen–Cahn (AC) equation. The AC equation is a nonlinear partial differential equation, which was first proposed by Allen and Cahn for antiphase boundary motion and antiphase domain coarsening. The mathematical equation is a building block for modelling many interesting interfacial phenomena such as dendritic crystal growth, multiphase fluid flows, and motion by mean curvature. The proposed adaptive time-stepping algorithm is based on the Runge–Kutta–Fehlberg method, where the local truncation error is estimated by using fourth- and fifth-order numerical schemes. Computational experiments demonstrate that the proposed time-stepping technique is efficient in multiscale computations, i.e., both the fast and slow dynamics.
Political Thought Pre-Alarm Mechanism of Campus Emergencies Based on Data Mining Technology
Authors: Li Shuqi
Published: July 2022

Political thought education is the lifeblood of all work. It is a critical and urgent task for current political thought education and campus management to investigate how to effectively prevent and respond to campus emergencies in a scientifically sound manner. This paper examines and evaluates the current state of political thought as a pre-alarm system for campus emergencies. Then, using DM technology, the cluster analysis algorithm and correlation analysis algorithm are used to mine and analyze potential links in the massive data on campus, study the characteristics of students’ behaviours, analyze the rules of students’ behaviours, and cluster out the categories of students’ behaviours. The political thought pre-alarm model of campus emergencies is built on this foundation. This pre-alarm model is compared to two other emergency pre-alarm models in order to ensure its reliability and applicability. Many experimental results show that this pre-alarm model has a prediction accuracy of up to 94.68 percent, which is higher than the traditional pre-alarm model’s 9.17 percent. The application of DM technology to political thought pre-alarm of campus emergencies has produced positive results in this paper. It has some theoretical and practical implications for the field of political thought prior to the campus emergency alarm.
Relationship between Permeability Coefficient and Fractal Dimension of Pore in Ionic Rare Earth Magnesium Salt Leaching Ore
Authors: Wang Dan , Rao Yunzhang , Shi Liang , Xu Wei , Huang Tao
Published: July 2022

The change of permeability coefficient of ionic rare earth ore is one of the most important factors causing the uncontrollable flow of leaching solution, and the variation of pore structure of the ore body has a great influence on the permeability coefficient. The research on the evolution of the relationship between pore structure and permeability coefficient of ionic rare earths is of great significance for controlling water and soil pollution and improving the leaching rate of rare earths. In this paper, the column leaching test of ionic rare earth was carried out to study the evolution of the relationship between pore structure and permeability coefficient. In the process of MgSO4 solution and deionized water leaching, the

T

2

spectrum and inversion image at each time were obtained by nuclear magnetic resonance (NMR). Based on the fractal theory, the pore structure change of the inversion image was quantitatively analysed, and the permeability coefficient of samples at each time of different leaching agents was calculated by using supercritical Dubinin-Redushckevich (SDR) model to analyse the nuclear magnetic resonance

T

2

spectrum. The results show that in MgSO4 solution, the permeability coefficient of the sample changes significantly, and the growth rate of pore fractal dimension remains large. By discussing the evolution law of pore fractal dimension and seepage characteristics of ionic rare earth, the mathematical relationship between permeability coefficient and pore fractal dimension of mineral soil samples at different depths is fitted by polynomial function.
Curcumin Alleviates D-Galactose-Induced Cardiomyocyte Senescence by Promoting Autophagy via the SIRT1/AMPK/mTOR Pathway
Authors: Yang Lei , Shi Jun , Wang Xiaowan , Zhang Rong
Published: July 2022

Oxidative stress and impaired autophagy are the hallmarks of cardiac aging. However, there are no specific drugs available to prevent cardiac aging. Curcumin is a natural polyphenolic drug with antioxidant, antiaging, and autophagy-promoting effects. Here, we describe the preventive role of Curcumin in cardiac aging through the induction of autophagy and the restoration of autophagy via the SIRT1/AMPK/mTOR pathway. The number of cells positive for senescence-associated β-galactosidase, P53, P16, and intracellular ROS increased significantly in senescent cardiomyocytes, stimulated using D-galactose. Curcumin reversed this effect in a dose-dependent manner. Curcumin-induced autophagy increased the expression of SIRT1and phosphorylated AMPK and decreased phosphorylated mTOR in a dose-dependent manner. SIRT1-siRNA-mediated knockdown inhibited the antioxidation, antiaging, the promotion of autophagy, and the SIRT1/AMPK/mTOR pathway activation effect of curcumin. Therefore, curcumin could be an effective anticardiac aging drug.
Biliary Drainage Reduces Intestinal Barrier Damage in Obstructive Jaundice by Regulating Autophagy
Authors: Zhang Xianfeng , Peng Bojian , Zhang Yuan , Zhang Yongjun , Lu Xiushan , Cao Yanwen
Published: July 2022

This study aims to investigate the mechanism by which biliary drainage reduces intestinal barrier damage in obstructive jaundice (OJ). A biliary drainage model was established in rats with OJ to detect changes in inflammatory factors and diamine oxidase (DAO), a marker of intestinal mucosal damage. The expression of autophagy‐related genes in the intestinal mucosa after biliary drainage was detected using a reverse transcription‐polymerase chain reaction. The rats were separated into two groups that received the autophagy activator rapamycin (RAPA) or the autophagy inhibitor 3‐methyladenine (3‐MA) to further investigate whether biliary drainage could alleviate the inflammatory response, oxidative stress, mitochondrial complex IV damage, and thus barrier damage in rats with OJ. The expression levels of inflammatory factors and the serum DAO content were increased in rats with OJ (P < 0.05). Biliary drainage further induced autophagy, reduced the expression levels of inflammatory factors, decreased the serum DAO content (P < 0.05), and improved intestinal mucosal damage. Administration of RAPA to OJ rats with biliary drainage increased autophagy (P < 0.05); decreased inflammatory factor secretion (P < 0.05), the serum DAO content (P < 0.05), oxidative stress (P < 0.05), and mitochondrial respiratory chain complex IV damage (P < 0.05); and ameliorated intestinal mucosal injury in OJ rats. When OJ rats were treated with 3‐MA, intestinal mucosal injury, intestinal mitochondrial injury, and oxidative stress were all aggravated (P < 0.05). Biliary drainage can reduce the expression of inflammatory factors, oxidative stress, and mitochondrial injury by inducing intestinal mucosal autophagy in OJ rats, thus suggesting its role in the alleviation of intestinal mucosal injury.
Vitamin D Protects against Traumatic Brain Injury via Modulating TLR4/MyD88/NF‐κB Pathway‐Mediated Microglial Polarization and Neuroinflammation
Authors: Jiang Hongsheng , Yang Xinyu , Wang Yanzhou , Zhou Caifeng
Published: July 2022

Vitamin D (VD) deficiency is associated with neuroinflammation and neurocognitive deficits in patients with traumatic brain injury (TBI). The present study was aimed at investigating the therapeutic effects of VD and the molecular mechanisms after TBI. After the intraperitoneal injection of VD (1 μg/kg), sensorimotor and cognitive function was assessed via a series of behavioral tests in TBI rats. Traumatic outcomes were investigated by brain edema, blood‐brain barrier (BBB) disruption, and morphologic staining. In vitro, cellular viability and cytotoxicity in primary hippocampal neurons were detected via the MTT method and LDH release. Hippocampal oxidative stress‐related enzymes and proinflammatory mediators and the serum concentration of VD were analyzed by ELISA. The expression of VDR, TLR4, MyD88, and NF‐κB p65 was measured by Western blot. Furthermore, the levels of M1/M2 microglial markers were quantified using real‐time PCR and Western blot. VD treatment significantly increased the serum level of VD and the hippocampal expression of VDR. VD not only effectively alleviated neurocognitive deficits, brain edema, and BBB disruption but also promoted hippocampal neuronal survival in vivo and in vitro. Moreover, VD therapy prevented excessive neuroinflammation and oxidative stress caused by TBI. Mechanically, the hippocampal expression of TLR4, MyD88, and nuclear NF‐κB p65 was elevated in the TBI group but robustly restrained by VD treatment. Taken together, VD provides an important neuroprotection through modulating hippocampal microglial M2 polarization and neuroinflammation via the TLR4/MyD88/NF‐κB pathway.
Analysis of the Influence of Sports on College Students’ Music Vocalization Training Based on Monte Carlo and Dynamic Adjustment Factor Algorithm
Authors: Hua Li , Yu Lin
Published: July 2022

With the continuous improvement of people’s living standards, the requirements of music majors for their training standards are also increasing, which leads to the development of music training in the direction of intelligence. This paper discusses the problems of breathing, coordination, and muscle control ability in vocal training and puts forward a vocal training method based on dynamic adjustment factor and Monte Carlo algorithm to solve the difficult problem of vocal training for college students and understand the relationship between vocal training and exercise. Firstly, the sports training set and vocal pronunciation training set are constructed in the form of clustering, and the samples in the set are analyzed discretely to ensure that the samples conform to normal distribution; then, using the Monte Carlo algorithm analyzes the two sample sets and finds out the relationship between exercise and vocal training. Finally, according to breathing, coordination, muscle control ability, and other indicators, calculate the impact of exercise on vocal sound. MATLAB simulation shows that the method proposed in this paper can analyze the influence of exercise on vocal vocalization from the perspective of breathing, coordination, muscle control ability, and other indicators. The accuracy of judgment results is more than 95%, and the time is less than 1 min. All indicators are better than traditional vocal training methods (90%, 2 min), which shows the effectiveness of the method proposed in this paper.
Identification of a Novel Tumor Inflammation Signature for Risk Stratification, Prognosis Prediction, and Immune Status in Colorectal Cancer
Authors: Li Yayun , Qiu Zhengcai , Wang Qipeng , Li Shangshang , Zhang Qiong , Han Jing
Published: July 2022

Background. Inflammation and immune cell dysfunction have been widely known as an essential role in the tumorigenesis of colorectal cancer (CRC). Yet, the role of tumor inflammation signature (TIS) associated with CRC prognosis, immune infiltration, and drug resistance remained unknown. Method. The transcriptome sequencing data, as well as clinical data of CRC from the public dataset, were acquired for further investigation. Inflammation‐related gene expression patterns were obtained and analyzed. Bioinformatics methods were used to build a prognostic TIS, and its prediction accuracy was verified by using ROC curve analyses. The independent prognostic factors in CRC were identified through multivariable Cox regression analysis. In addition, the specific features of the immunological landscape between low‐ and high‐risk CRC cohorts were analyzed. Results. We firstly screened the differentially expressed inflammation‐related genes in CRC and constructed a prognostic TIS. We further classified CRC patients into high or low TIS score groups based on the optimal cutoff of prognostic TIS, and patients with high‐risk scores had shorter overall survival (OS) than those in the low‐risk cohort. The diagnostic accuracy of TIS was evaluated and confirmed with ROC analysis. The result of the univariate and multivariate analysis found that TIS was directly and independently linked to OS of CRC. Otherwise, an optimal nomogram model based on TIS exhibited a better prognostic accuracy in OS. Finally, the immunological status and immune cell infiltration were observed different in the two‐risk cohorts. Conclusion. In summary, the risk model of the TIS in CRC was found to be useful for predicting patient prognosis and guiding individual treatment. This risk signature could also serve as potential biomarkers and immunotherapeutic targets and indicate immunotherapy response for patients with CRC.
Investigation on the Design of Anthropomorphic Oral Presentation Assistant Training System
Authors: Zhao Xinbo , Fei Fei
Published: July 2022

Oral presentation is a formal talk on a specific topic given to the audience through presentation tool. With the widespread use of oral presentations in a variety of professions, the ability to deliver an oral presentation using PowerPoint is becoming increasingly important. However, when a speaker practices alone, the presenter is unable to communicate with the audience, which means that the emotional input is unaffected, resulting in the training effect. A presentation assistant training system is designed using the anthropomorphic design concept which consists anthropomorphic appearance sensor to enable presentation practitioners to receive emotional feedback in the anthropomorphic appearance and further sensory immersion, thereby improving the training effect. The results of a comparative grouping experiment with 60 students at a university reveal that the system based on anthropomorphic design aspects has a greater practice effect. The design of the system has viable importance to improve oral presentation ability which also opens up for the improvement of the system, product research, and development.
Taurine Ameliorates Iron Overload-Induced Hepatocyte Injury via the Bcl-2/VDAC1-Mediated Mitochondrial Apoptosis Pathway
Authors: Feng Xiaoyu , Hu Wenfeng , Hong Yujiao , Ruan Linlin , Hu Yueben , Liu Dan
Published: July 2022

Iron overload can induce reactive oxygen species (ROS) burst and liver damage. Taurine can reduce ROS production and ameliorate liver injury caused by iron overload; however, the underlying molecular mechanism remains elusive. Herein, L02 cells treated with 120 μM iron dextran for 48 h showed marked oxidative stress damage and significantly increased apoptosis. Taurine protected hepatocytes by stabilizing mitochondrial membranes and resisting oxidative stress damage caused by iron overload. However, transfection with siRNA Bcl-2 virus abrogated the observed protective effects. Following treatment with taurine, B cell lymphoma-2 (Bcl-2) could inhibit the opening of the mitochondrial permeability transition pore (mPTP), subsequently stabilizing the mitochondrial membrane potential by interacting with voltage-dependent anion channel 1 (VDAC1) of mPTP. The present study is the first to clarify the mechanism underlying taurine-afforded hepatocyte protection against iron overload-induced oxidative stress via Bcl-2-mediated inhibition of mPTP opening and the antiapoptotic pathway.
Validation of a Model Predicting That Physical Activities Improve Health-Related Quality of Life in Older Japanese Adults with Pain, Dysesthesia, and Kinesiophobia after Lumbar Surgery: Structural Equation Modeling
Authors: Higuchi Daisuke , Watanabe Yuta , Kondo Yu , Miki Takahiro
Published: July 2022

Objectives. This study assessed the validity of a hypothesized model predicting that physical activity improves health-related quality of life (HRQOL) in older Japanese adults with pain, dysesthesia, and kinesiophobia following lumbar surgery. Methods. We included 431 elderly patients who underwent surgery for lumbar spinal stenosis at two hospitals. The frequency of physical activity, pain, dysesthesia, kinesiophobia (somatic focus and activity avoidance), and HRQOL were investigated using a questionnaire. Missing values were complemented by the stochastic regression imputation. We constructed the following model. (i) physical activity affects pain, dysesthesia, and kinesiophobia. (ii) pain, dysesthesia, and kinesiophobia separately affect HRQOL. This hypothetical model was tested by structural equation modeling. The model was improved based on a modified index. Results. Of the 431 respondents, 297 (median age 72 years, range 65–91 years; 158 men and 139 women) were analyzed (68.9%). The fit of the model improved based on the modification index and was acceptable comparative fit index, 0.948; Tucker–Lewis index, 0.919; root mean square error of approximation, 0.048 (90% confidence interval, 0.026–0.069), and standardized root mean square residual (0.046). The paths by which physical activities reduced pain or dysesthesia (standardized pass coefficients, −0.406) and somatic focus (−0.301) and consequently improved HRQOL were significant (pain/dysesthesia, −0.684; somatic focus, −0.218). Discussion. Our hypothesized model predicting that physical activity improves HRQOL in terms of pain, dysesthesia, and kinesiophobia in older Japanese adults after lumbar surgery was validated using cross-sectional data. Interventional studies on physical activity based on this model are required to establish the model.
Study on the Impact of Rural Tourism Behavior Development on Ecological Environment in Zhejiang Province
Authors: Yang Jiao , Phan Minh
Published: July 2022

With the progress of economy, people have more and more leisure time and higher income. More and more people choose rural tourism and experience rural life when they choose to travel. This paper takes Zhejiang rural tourism as an example, based on the theory of complex ecosystem and Butler’s theory of tourism destination life cycle. First of all, through literature research, find out the development status of rural tourism in China and elaborate its influencing factors and finally put forward targeted suggestions. Secondly, through on-the-spot investigation, taking the villages in Zhejiang Province as the investigation objects, the relevant information is obtained through questionnaire survey and other methods. Finally, according to the results of literature research and field survey, taking Guzhu village and Jiaxing City in Zhejiang Province as examples, the tourism data over the years show that rural tourism can promote employment, provide multiple jobs, and improve farmers’ income. The proportion of rural tourism income in local tourism income has increased year by year. This paper discusses the impact of the development of rural tourism behavior on the ecological environment in Zhejiang Province and tries to find the perfect combination point of the coordinated development of rural tourism and environment.
Exendin‐4 Attenuates Hepatic Steatosis by Promoting the Autophagy‐Lysosomal Pathway
Authors: Yu Hsin-Hsien , Wang Hao-Chen , Hsieh Mao-Chih , Lee Ming-Che , Su Bor-Chyuan , Shan Yan-Shen
Published: July 2022

Dysregulated hepatic steatosis may lead to chronic liver inflammation and nonalcoholic steatohepatitis (NASH). Recent studies have suggested that exendin‐4, a glucagon‐like peptide‐1 agonist, may be a promising therapeutic for hepatic steatosis and NASH. However, the molecular mechanisms underlying the antihepatic steatosis actions of exendin‐4 are not fully clear. Here, we demonstrate that autophagy is activated by either palmitic acid (PA) or oleic acid (OA) in HepG2 cells, and exendin‐4 further enhances the autophagy‐lysosomal pathway. We show that inhibition of autophagy by shLC3 attenuates exendin‐4‐mediated antisteatotic activity. Furthermore, expression of a key lysosomal marker, lysosome associated membrane protein 1 (LAMP1), is upregulated in OA + exendin‐4‐treated cells. The colocalization of LAMP1 and LC3 puncta further suggests that autophagic flux was enhanced by the cotreatment. Based on these findings, we conclude that autophagic flux might play an important role in the antisteatotic action of exendin‐4.
Eukaryotic Translation Initiation Factor 5A Independently Predicts Poor Prognosis of Cholangiocarcinoma Patients and Regulates the Ferroptosis and Mitochondrial Apoptosis
Authors: Wan Ping , Li Taiyuan , Zhou Longfei , Zhang Jun , Rao Xuefeng
Published: July 2022

Cholangiocarcinoma (CCA) is a hepatobiliary carcinoma characterized by the differentiation of bile duct cells, and the patients with CCA often have a poor prognosis. Eukaryotic translation initiation factor 5A (eIF5A) is reported to have multiple biological activities. Targeted activation of ferroptosis may be a therapeutic strategy for cancer. Nevertheless, the effects of eIF5A and ferroptosis on CCA are still elucidated. Our study explored the effects of eIF5A in CCA, and the mechanisms also are studied. In this paper, TCGA database analysis suggested that eIF5A was upregulated in CCA, and high expression of eIF5A might predict a poor prognosis. Moreover, FANCD2, SLC7A11, and HSPB1 were significantly overexpressed in CCA. The results indicated that eIF5A was overexpressed in CCA tissues and cells. Further experiments demonstrated that eIF5A silencing decreased CCA cell activity and enhanced ferroptosis and mitochondrial apoptosis. In addition, upregulation of eIF5A showed the opposite effect on CCA cells compared with downregulation of eIF5A. Finally, the silencing of eIF5A could restrain the growth of xenografted tumors and promote ferroptosis. Overall, eIF5A enlarged CCA cell activity and attenuated ferroptosis and mitochondrial apoptosis. The results suggested that assessment of eIF5A might provide help for the diagnosis and treatment of CCA.
Contribution of Surface Treatment on Physical and Mechanical Properties of Recycled Concrete Aggregates
Authors: Odero Brian Jacks , Mutuku Raphael N. , Nyomboi Timothy , Gariy Zachary A.
Published: July 2022

The demand for virgin aggregates for concrete production worldwide has been increasing. At the same time, there is an increase in the production of rubbles from construction‐related activities. The residues are produced either due to leftovers or from the demolished structures. However, worldwide, the utilization of recycled concrete aggregate (RCA) material for structural concrete has been limited, often considered inferior due to distorted surfaces. The problems with RCA arise because it is a composite aggregate made of natural aggregate and cement, and adhered surface mortar is the discontinuities on the surface that arise from the production technique or the strength of the original concrete. The development of hydrated calcium silicate binder in the concrete matrix has been the critical desire of researchers to make better concrete material. This research focuses on the treatment of RCA from locally available rice husk ash with minimum pozzolanic cement. The objective was achieved by conducting tests on the properties of aggregates that include specific gravity and water absorption, aggregate crushing value (ACV), and aggregate impact value (AIV). The effectiveness of the treatment technique is assessed by the analysis of SEM imagery and XRD analysis of the microstructure cement paste around the RCA. At 20% pozzolan concentration, RCA treatment yields comparable specific gravities, water absorption, ACV, and AIV. Furthermore, the replacement of 5% rice husk ash (in 20% concentration) provided the optimal proportion of treatment for RCA, resulting in a reduction of ACV by 31.4%, AIV by 30.0%, and water absorption by 12.7% compared to the untreated RCA. XRD showed that calcite (CaCO₃), quartz, and portlandite phases were the majority in the untreated RCA. The study indicates that pozzolanic cement with 15% can be used with 5% RHA to produce RCA with characteristics almost similar to virgin aggregates. This research presents a consistent methodology to achieve modified RCA for application in construction.
Financial Stock Investment Management Using Deep Learning Algorithm in the Internet of Things
Authors: Fan Jianjuan , Peng Shen
Published: July 2022

This paper aims to explore a new model to study financial stock investment management (SIM) and obtain excess returns. Consequently, it proposes a financial SIM model using deep Q network (DQN) as reinforcement earning (RL) algorithm and Long Short-Term Memory (LSTM) as deep neural network (DNN). Then, after training and optimization, the proposed model is back-tested. The research findings are as follows: the LSTM neural network (NN)-based model will import the observation of the market at each time and the change of transaction information over time. The LSTM network can find and learn the potential relationship between time series data. There are two hidden layers and one output layer in the model. The hidden layer is an LSTM structure and the output layer is the fully connected NN. DQN algorithm first stores the experience sample data of the agent-environment interaction into the experience pool. It then randomly selects a small batch of data from the experience pool to train the network. Doing so removes the correlation and dependence between samples so that the DNN model can better learn the value function in the RL task. The model can predict the future state according to historical information and decide which actions to take in the next step. Meanwhile, five stocks of Chinese A-shares are selected to form an asset pool. The initial 500,000 amount of the account is divided into five equal shares, which are invested and traded. Overall, the model account’s rate of return (RoR) during the back-test is 32.12%. The Shanghai Stock Exchange (SSI) has risen by 19.157% in the same period. Thus, the model’s performance has exceeded the SSI’s in the same period. E stock has the maximum RoR of 78.984%. The RoR of A, B, and C stocks is 54.129%, 11.594%, and 9.815%, respectively. B stock presents a minimum RoR of 6.084%. All these stocks have got positive returns. Therefore, the proposed financial SIM based on the DL algorithm is scientific and feasible. The research content has certain significant reference for the DL-based financial SIM.
Long Noncoding XLOC_006390 Regulates the Proliferation and Metastasis of Human Colorectal Cancer via miR-296/ONECUT2 Axis
Authors: Ma Tianyi , Qiao Tianyu , Huang Rui , Wang Meng , Hu Hanqing , Yuan Ziming , Zhu Yihao , Wu Hongyu , Zou Xiaoming
Published: July 2022

Long noncoding RNA (LncRNA) XLOC_006390 has been shown to be dysregulated in cancer tissues and regulates cancer growth and development. Nonetheless, the molecular role of lncRNA-XLOC_006390 in colorectal cancer via modulation of miR-296/ONECUT2 axis is still unclear. Against this backdrop, the current study was designed to explore the role of lncRNA-XLOC_006390 in colorectal cancer proliferation and metastasis. The results revealed significant (

P
<
0.05

) overexpression of lncRNA-XLOC_006390 in colorectal cancer tissues and cell lines, and the transcript levels increased with the advancement of the disease. Moreover, its high expression was shown to be associated with poor patient survival. Silencing of lncRNA-XLOC_006390 in colorectal cancer cells significantly (

P
<
0.05

) suppressed their viability via onset of apoptosis and restricted cancer cell migration and invasion. In vivo tumor growth was significantly (

P
<
0.05

) inhibited under lncRNA-XLOC_006390 repression. LncRNA-XLOC_006390 was shown to sponge the expression of miR-296-3p which in turn acted via post-transcriptional suppression of ONECUT 2 transcription factor to regulate the growth of colorectal cancer. Taken together, the results revealed the oncogenic role of lncRNA-XLOC_006390 in colorectal cancer via modulation of miR-296/ONECUT2 axis. The results also point towards its prognostic and therapeutic potential in the treatment of colorectal cancer.
Stability Analysis of Jointed Rock Cutting Slope Based on Discrete Element Method
Authors: Zhu Wei , Gao Liang , Zhao Yingai , Yang Chao , Sun Wei , Yu Pengqiang
Published: July 2022

The joints in the rock mass are essential for the stability of rocky slopes, and the destabilization damage of the slope is often directly related to the joints. In this study, in order to reveal the instability process and mechanism of rock slopes from a microscale perspective, the DEM simulations for rocky slopes of the K88 + 400∼K88 + 540 section of Zhongkai Expressway are carried out considering the influence of joints. Based on the findings of the on‐site jointed structural surfaces, a rocky slope model containing two sets of intermittent joints was constructed, and the linear parallel bond model and the smooth joint model are used to characterize the rock body and joints, respectively. The evolution of microfracture, contact force chain, and particle displacement are analyzed to explore the micromechanism of slope instability. Finally, the triple reinforcement scheme of anchor cable frame and grass planting is proposed. The research results can provide a reference for stability analysis and reinforcement of similar rocky slope projects.
The Framework of a Rural Pension System based on a Mutual Aid Network
Authors: Meng Jingting , Lin Zaiguo , Wang Tao
Published: July 2022

At present, there is an increasingly serious phenomenon of rural aging and mutual support for the aged in China. Taking this as the background and opportunity, this paper discusses the feasibility and realization path of the further development of the rural mutual support model based on the results of the field investigation of the mutual support network, including the study of mutual support relationship and spatial network. This paper proposes to analyze the internal mechanism by sorting out the internal driving forces and potential resources of mutual assistance and to construct a framework of rural elderly support system that meets the requirements of the mutual care model for the elderly from the three dimensions of operation, function, and space. It provides a development idea for the study of the elderly support system in the same type of rural areas.
Dysregulation of Circadian Clock Genes Associated with Tumor Immunity and Prognosis in Patients with Colon Cancer
Authors: He Yongshan , Chen Yuanyuan , Dai Xuan , Huang Shiyong
Published: July 2022

Early research shows that disrupting the circadian rhythm increases the risk of various cancers. However, the roles of circadian clock genes in colorectal cancer, which is becoming more common and lethal in China, remained to be unclear. In conclusion, the present study has demonstrated that multiple CCGs were dysregulated and frequently mutated in CRC samples by analyzing the TCGA database. The higher expression levels of REV1, ADCYAP1, CSNK1D, NR1D1, CSNK1E, and CRY2 had a strong link with shorter DFS time in CRC patients, demonstrating that CCGs had an important regulatory role in CRC development. Moreover, 513 CRC tumor samples were divided into 3 categories, namely, cluster1 (

n
=
428

), cluster2 (

n
=
83

), and cluster 3 (

n
=
109

), based on the expression levels of the CCGs. Clinical significance analysis showed that the overall survival and disease-free survival of cluster 2 and cluster 3 were significantly shorter than those of cluster 1. The stemness scores in cluster 1 and cluster 2 were significantly higher than those of cluster 3 CRC samples. Clinically, we found that the C3 subtype had significantly higher percentage of T3/T4, N1/N2, and grades III and IV than groups C1 or C2. In addition, we reported that different CRC clusters had significantly different tumor-infiltrating immune cell signatures. Finally, pancancer analysis showed that higher expression of CSNK1D was correlated with shorter DFS time in multiple cancer types, such as COAD and LIHC, and was dysregulated in various cancers. In conclusion, we effectively developed a CCG-related predictive model and opened up new avenues for research into immune regulatory mechanisms and the development of immunotherapy for CRC.
Studying the Stability of the ψ‐Hilfer Fractional Differential System
Authors: Yang Jinping , Li Zhiqiang
Published: July 2022

This paper devotes to the study on the stability and decay of solution to fractional differential system involving the ψ‐Hilfer fractional derivative of order α ∈ (0,1) and type β ∈ [0,1]. We first derive the solution of linear system by using the generalized Laplace transform, which can be represented by the form of Mittag‐Leffler function. Then, in terms of the asymptotic expansion of the Mittag‐Leffler function, stability properties of linear system are analyzed in more detail. Finally, we construct a linearization theorem and determine the stability near the equilibrium for the autonomous nonlinear differential system with the ψ‐Hilfer derivative.
Towards an Accurate MRI Acute Ischemic Stroke Lesion Segmentation Based on Bioheat Equation and U-Net Model
Authors: Bousselham Abdelmajid , Bouattane Omar , Youssfi Mohamed , Raihani Abdelhadi
Published: July 2022

Acute ischemic stroke represents a cerebrovascular disease, for which it is practical, albeit challenging to segment and differentiate infarct core from salvageable penumbra brain tissue. Ischemic stroke causes the variation of cerebral blood flow and heat generation due to metabolism. Therefore, the temperature is modified in the ischemic stroke region. In this paper, we incorporate acute ischemic stroke temperature profile to reinforce segmentation accuracy in MRI. Pennes bioheat equation was used to generate brain thermal images that may provide rich information regarding the temperature change in acute ischemic stroke lesions. The thermal images were generated by calculating the temperature of the brain with acute ischemic stroke. Then, U-Net was used in this paper for the segmentation of acute ischemic stroke. A dataset of 3192 images was created to train U-Net using

k

-fold crossvalidation. The training time was about 10 hours and 35 minutes in NVIDIA GPU. Next, the obtained trained model was compared with recent methods to analyze the effect of the ischemic stroke temperature profile in segmentation. The obtained results show that significant parts of acute ischemic stroke and background areas are segmented only in thermal images, which proves the importance of using thermal information to improve the segmentation outcomes in MRI diagnosis.
Detecting Privacy Leakage of Smart Home Devices through Traffic Analysis
Authors: Yang Ting , Zhang Guanghua , Li Yin , Yang Yiyu , Wang He , Zhang Yuqing
Published: July 2022

Under the management of the Internet of Things platform, smart home devices can be operated remotely by users and greatly facilitate people’s life. Currently, smart home devices have been widely accepted by consumers, and the number of smart home devices is rising rapidly. The increase of smart home devices introduces various security hazards to users. Smart home devices are vulnerable to side-channel attacks based on network traffic. The event of smart home devices can be identified by network surveillants. Given this situation, we designed a set of standardized workflows for traffic capturing, fingerprint feature extraction, and fingerprint event detection. Based on such workflow, we present IoTEvent, a semiautomatic tool to detect vulnerable smart home devices, which is not limited to specific types of communication protocols. IoTEvent first collects device traffic by simulating touch events for App. Then, it pairs the packet sequences with events and generates a signature file. We also test the usability and performance of IoTEvent on five cloud platforms of smart home devices. Finally, we discuss the reasons for privacy leakage of smart home devices and security countermeasures.
Be(a)ware of Leukocytosis in Papillary Thyroid Cancer
Authors: Laskou Styliani , Sapalidis Konstantinos , Topalidis Christos , Koletsa Triantafyllia , Kesisoglou Isaak
Published: July 2022

Leukocytosis can be present at any time during various malignancies. A 42-year-old male was admitted to our department for surgical management of his metastatic papillary thyroid cancer. Persistent white blood cell (WBC) elevation with left shift led to a thorough investigation. Having excluded other causes, leukocytosis was attributed to thyroid cancer itself. Positive immunostaining for IL-6 and CEA, as well as elevated serum levels, established this connection.
The Identification and Dissemination of Creative Elements of New Media Original Film and Television Works Based on Review Text Mining and Machine Learning
Authors: Yu Xiaonan
Published: July 2022

With the continuous growth of the film market and the consumption demand of audiences, the value of film content has become increasingly apparent. Extracting movie content elements is an important step in quantitative analysis of movie content. In this paper, based on text mining technology, deep data analysis of movie reviews is carried out using TF-IDF and machine learning to visualize high-frequency words, and sentiment analysis is performed on reviews to find out the hidden deep information behind the big data of movie reviews. Although the extracted keywords can draw the content and characteristics of the film for us, they cannot establish the correlation with the creative elements of the film and television works. Therefore, in this paper, the extracted keywords are clustered to find the central words of these words. First of all, in order to improve the representativeness of keywords, the Epoch data set and the Batchsize data set are used to conduct experimental analysis on the model in this paper. Through comparative experiments, it is concluded that when Batchsize = 32 and Epoch = 25, the model achieves the optimal classification effect. The analysis shows that when the training times are too small, the model is not fully learned, and when the training times are too many, the model will be overfitted, which will reduce the accuracy of the model, resulting in the opposite effect. The keywords extracted above can draw the content and characteristics of the movie for us.