bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytical Simulation of 3D Wind-Induced Vibrations of Rectangular Tall Buildings in Time Domain
Authors: Huergo Iván F , Hernández-Barrios Hugo , Gómez-Martíne Roberto
Published: October 2022

The Monte Carlo simulation method for along-wind loads on tall buildings performed in the time and space domain may be the only analytical viable option for specific problems such as nonlinearity behavior, nonclassically damping, and detailed structural models in commercial software. However, both across-wind and torsional-wind loads due to vortex shedding are not usually simulated in time domain because the vertical decay constants are unknown or the empirical coherence functions cannot be applied in Monte Carlo simulation methods. In this paper, the spectral representation (SR) method is used to simulate in time domain the along-wind, across-wind, and torsional-wind loads on rectangular tall buildings considering the vertical correlation between the signals. The Krenk root-coherence function is used for the normalized cross-spectrum on the along-wind direction, whereas the Davenport root-coherence function is used for the other two types of wind loads. For both across-wind and torsional-wind loads, the Davenport root-coherence function was assessed at the vortex shedding frequency by changing the vertical decay constants until converge between the Davenport model and the Liang empirical coherence model was achieved. Based on a three‐dimensional model with two translational and one torsional degree of freedom for each floor, the proposed vertical decay constants were validated by comparing the elastic response between frequency domain and time domain approaches. Generally speaking, the results show that peak displacements are significantly underestimated for both across-wind and torsional directions when vertical correlation is neglected. In addition, the advantages of time domain simulation were shown by performing a nonlinear time history analysis considering a bilinear isotropic material hardening model in both translational directions.
Study on Contact Force and Vibration Characteristics of Composite Cylindrical Roller Bearing
Authors: Qu Tie , Bian Qiang , Zeng Guang , Zhao Chunjiang , Zhang Xiangyun , Ma Lifeng , Chen Ming
Published: October 2022

The composite cylindrical roller is composed of a hollow cylindrical roller and a filler body and is a new type of structure roller bearing. In order to explore the influence of different parameters on the contact characteristics and vibration characteristics of bearings, finite element models of static contact, modal analysis, and harmonic response analysis of composite cylindrical roller bearings were established based on ABAQUS software. The effects of filling rate, radial force, and the number of rollers on parameters such as contact force, contact stress, and natural frequency were studied. The results show that when the filling rate of the cylindrical roller increases from 0% to 70%, the natural frequency of bearing and the peak frequency of its harmonic response decrease, the force distribution in the contact area is also more uniform, and the maximum contact stress of the roller is reduced by 29.1%; the radial force has no effect on the peak frequency of the harmonic response of the bearing, but the increase of the radial force will increase the peak value of the response displacement, and the contact force and stress of the rollers will also increase. When the number of rollers increases from 11 to 15, the natural frequency and the peak frequency of harmonic response increase, the peak displacement decreases, the contact force distribution of the rollers in the bearing area is more uniform, and the maximum contact stress of the roller is reduced by 21.1%. The research result can provide a theoretical reference for the structural optimization and engineering application of elastic composite cylindrical roller bearings.
Application Analysis of Block Technology Based on Block Chain Computer Model in the False Identification of the Catalog List of the Financial Department of Multinational Companies
Authors: Hu Zhihua
Published: October 2022

The financial data of some listed companies is not transparent enough, especially in financial-related management and program planning. In addition to legal and ethical constraints, with the continuous upgrading of blockchain technology, it is possible to explore the use of blockchain technology to lower the threshold for a certain number of investors to participate in corporate financial governance. Jointly supervising the capital flow of listed companies can ensure the safety of funds and improve the efficiency of capital use, thereby solving the problem of financial fraud of listed companies to a certain extent. The four core features of blockchain technology include decentralized distributed ledgers, consensus mechanisms, asymmetric encryption, and smart contracts. Exploring the feasibility and embedding path of chain technology in the capital supervision of listed companies will help to solve this problem. The integrated application of blockchain technology plays an important role in new technology innovation and industrial transformation. According to the unique technical characteristics of blockchain technology such as decentralization, nontampering, and traceability, combined with its application scenarios in the accounting field, it is hoped to use blockchain technology to solve problems such as information asymmetry and easy tampering of financial amounts from the source. Therefore, effective analysis can reduce the occurrence of financial fraud and fraud in listed companies, and blockchain technology has become a new way to prevent financial fraud in listed companies. This paper analyzes the classification and basic characteristics of blockchain, and studies the access mechanism and voting rules of candidate nodes based on the private chain architecture of the Raft distributed protocol to ensure the authenticity and real-time of financial information of listed companies and financial decisions. Improving the difficulty of financial fraud can provide good social and economic benefits.
The Mechanism of Safety Culture Construction in Chinese Universities Based on POI Data and Gravity Model
Authors: Zhao Wu , Zhou Zhe , Jiang Haibo
Published: October 2022

Safety culture includes concept culture, system culture, behavior culture, and material culture. With the development of social economy, the importance of safety culture has been recognized by the whole society. Campus security is not only related to the common interests of the campus teachers and students but also related to the fundamental interests of each individual in the campus. In order to build a “harmonious society,” building a “harmonious campus” is an important work. Strengthening the construction of safety culture in colleges and universities is not only the objective need of building a harmonious society, promoting the reform and development of colleges and universities, and running a university with the satisfaction of the people but also the urgent requirement of cultivating high-quality professionals with safety responsibility consciousness and safety behavior ability. Starting from the history of safety culture construction, this paper reviews and summarizes the course of safety culture construction in colleges and universities, analyzes the present situation of safety culture construction in colleges and universities, and takes the safety construction theory as the guide. This paper introduces an automatic extraction technology of Internet map POI data. The organization form of Html webpage content, the automatic analysis, and the extraction of POI are realized by programming. The experimental results show that the address standardization method proposed in this paper has high accuracy of address standardization, and the weighted multiattribute similarity POI matching method can also effectively update the increment of POI data.
Does Public Awareness Matter to Achieve the UN’s Sustainable Development Goal 6: Clean Water for Everyone?
Authors: Mustafa Sohaib , Jamil Khalid , Zhang Lifu , Girmay Mengisti Berihu
Published: October 2022

United Nations set a Sustainable Development Goal to provide clean water for everyone (SDG 6). The successful implementation of SDG 6 is still miles to go. Public awareness’s role as a key factor in achieving Sustainable Development Goal 6 is vital but received less attention from researchers in the past. To understand the role of public awareness and other relevant factors in achieving SDG 6, we have collected a cross‐sectional dataset from a developing country and applied a partial least square structural equation modelling approach. The results revealed that willingness to pay for clean water, social influence, and facilities provided by the government, public awareness, and knowledge about contaminated water positively influence the households’ intentions to use clean water. We also found that public awareness partially mediates relationships. Study results have useful policy implications for governments, NGOs, and other stakeholder organizations working on achieving SDG 6 in developing countries.
Logistics Path Decision Optimization Method of Fresh Product Export Cold Chain Considering Transportation Risk
Authors: Chen Lifu , Shen Zhifeng
Published: October 2022

The cold chain logistics route of fresh product export is characterized by large quantity and complexity, which is prone to cause transportation risks of different degrees in the process of fresh product export transportation and affects the decision-making effect of the cold chain logistics route. Therefore, in order to improve the ability of cold chain logistics route planning and shorten the transportation time, an optimization method of fresh product export cold chain logistics route decision considering transportation risk was proposed. This paper analyzes the basic characteristics and classification of cold chain logistics by means of risk quantification and uses the K-nearest neighbor algorithm to predict the risk of traffic congestion, so as to shorten the transportation time. Ahp process is used to construct a risk factor judgment matrix and determine the index weight of risk factors, so as to reduce the error of path planning. A genetic algorithm is introduced to construct the optimal decision function of the cold chain logistics route of new product export and realize the optimization of cold chain logistics route decision of fresh product export. Experimental results show that the method presented in this paper can effectively improve the decision-making effect of cold chain logistics route and select the shortest and most smooth transportation path to complete logistics distribution. The decision-making accuracy of the route decision effect is 90%, and the transportation time is 31.45 min, which has certain feasibility and applicability.
Computing Topological Invariants of Deep Neural Networks
Authors: Zhang Xiujun , Idrees Nazeran , Kanwal Salma , Saif Muhammad Jawwad , Saeed Fatima
Published: October 2022

A deep neural network has multiple layers to learn more complex patterns and is built to simulate the activity of the human brain. Currently, it provides the best solutions to many problems in image recognition, speech recognition, and natural language processing. The present study deals with the topological properties of deep neural networks. The topological index is a numeric quantity associated to the connectivity of the network and is correlated to the efficiency and accuracy of the output of the network. Different degree-related topological indices such as Zagreb index, Randic index, atom-bond connectivity index, geometric-arithmetic index, forgotten index, multiple Zagreb indices, and hyper-Zagreb index of deep neural network with a finite number of hidden layers are computed in this study.
Lycopene Ameliorates Hypoxic Pulmonary Hypertension via Suppression of Oxidative Stress
Authors: Wang Dingyou , Ji Yuke , Wang Rui , Cheng Ke , Liu Liang , Wu Na , Tang Qing , Zheng Xu , Li Junxia , Zhu Zhilong , Wang Qinghua , Zhang Xueyan , Li Runbo , Pan Jinjin , Sui Zheng , Yuan Yuhui
Published: October 2022

Hypoxic pulmonary hypertension (HPH) is a progressive cardiopulmonary system disease characterized by pulmonary vascular remodeling. Its occurrence and progression are closely related to oxidative stress. Lycopene, extracted from red vegetables and fruits, exhibits a particularly high antioxidant capacity that is beneficial for cardiovascular diseases. Nevertheless, the role and mechanism of lycopene in HPH remain unknown. Here, we found that lycopene reversed the elevated right ventricular systolic pressure (RVSP), right ventricular hypertrophy, and pulmonary vascular remodeling induced by hypoxia in rats. In vitro, lycopene caused lower proliferation and migration of PASMCs, with higher apoptosis. Consistent with the antiproliferative result of lycopene on hypoxic PASMCs, the hippo signaling pathway associated with cell growth was activated. Furthermore, lycopene reduced malondialdehyde (MDA) levels and enhanced superoxide dismutase (SOD) activity in the lungs and serum of rats under hypoxia conditions. The expression of NOX4 in the lungs was also significantly decreased. Hypoxic PASMCs subjected to lycopene showed decreased reactive oxygen species (ROS) production and NOX4 expression. Importantly, lycopene repressed HIF-1α expression both in the lungs and PASMCs in response to hypoxia in the absence of a significant change of HIF-1α mRNA. Compared with 2ME2 (a HIF-1α inhibitor) alone treatment, lycopene treatment did not significantly change PASMC proliferation, NOX4 expression, and ROS production after 2ME2 blocked HIF-1α, suggesting the inhibitory effect of lycopene on HIF-1α-NOX4-ROS axis and the targeted effect on HIF-1α. After CHX blocked protein synthesis, lycopene promoted the protein degradation of HIF-1α. MG-132, a proteasome inhibitor, notably reversed the decrease in HIF-1α protein level induced by lycopene in response to hypoxia. Therefore, lycopene suppressed hypoxia-induced oxidative stress through HIF-1α-NOX4-ROS axis, thereby alleviating HPH. Our findings will provide a new research direction for clinical HPH therapies.
Construction of an Inquiry-Based Teaching Model for Ideological and Political Education in Colleges and Universities from the Perspective of Deep Learning
Authors: An Bo , Gao Lin
Published: October 2022

Social development and people’s daily life have undergone unprecedented great changes under the impact of the reconstruction of the knowledge economy and information age, and ideological and political education, as a social practice activity for cultivating people, has also been affected. The purpose of knowledge has shifted from retelling facts to discovering and applying knowledge, requiring learners to be able not only to have basic factual rules and operating procedures but also to experience irrational factors such as character, value, and spirit about knowledge and beyond it, so as to have a sense of the quality of deep learning. And, this deep learning ability has become a key ability necessary to support human survival and development in the future artificial intelligence era, and it is also the main basis for measuring the learning ability of learners. Because of this, deep learning research has set off a wave of teaching reforms around the world. This research is based on the analysis of the stage characteristics of smarter classrooms and the adaptation of inquiry-based teaching to the development stages of smarter classrooms. Inquiry-based teaching needs to be designed. The demand analysis of inquiry-based teaching design is carried out, and then the main line of inquiry-based teaching design is to focus on the development of students’ wisdom to promote the development of students’ wisdom. A detailed analysis and design are carried out, and the specific performance is given. Inquiry-based teaching is applied to practice and test its effectiveness. The interview method was used for the experimental class. The practical results show that the advanced design of inquiry-based teaching in smarter classrooms is very effective, providing a reference for smarter teaching in primary and secondary schools.
Current Insights on Bioactive Molecules, Antioxidant, Anti-Inflammatory, and Other Pharmacological Activities of Cinnamomum camphora Linn
Authors: Fazmiya Mohamed Joonus Aynul , Sultana Arshiya , Rahman Khaleequr , Heyat Md Belal Bin , Sumbul  , Akhtar Faijan , Khan Salabat , Appiah Seth Christopher Yaw
Published: October 2022

C. camphora is a renowned traditional Unani medicinal herb and belongs to the family Lauraceae. It has therapeutic applications in various ailments and prophylactic properties to prevent flu-like epidemic symptoms and COVID-19. This comprehensive appraisal is to familiarize the reader with the traditional, broad applications of camphor both in Unani and modern medicine and its effects on bioactive molecules. Electronic databases such as Web of Science, PubMed, Google Scholar, Scopus, and Research Gate were searched for bioactive molecules, and preclinical/clinical research and including 59 research and review papers up to 2022 were retrieved. Additionally, 21 classical Unani and English herbal pharmacopeia books with ethnomedicinal properties and therapeutic applications were explored. Oxidative stress significantly impacts aging, obesity, diabetes mellitus, depression, and neurodegenerative diseases. The polyphenolic bioactive compounds such as linalool, borneol, and nerolidol of C. camphora have antioxidant activity and have the potential to remove free radicals. Its other major bioactive molecules are camphor, cineole, limelol, safrole, limonene, alpha-pinene, and cineole with anti-inflammatory, antibacterial, anxiolytic, analgesic, immunomodulatory, antihyperlipidemic, and many other pharmacological properties have been established in vitro or in vivo preclinical research. Natural bioactive molecules and their mechanisms of action and applications in diseases have been highlighted, with future prospects, gaps, and priorities that need to be addressed.
Exploration and Practice of Moral Education Courses in Universities in Big Data Era
Authors: Liu Jing
Published: October 2022

Since the moral education acts an important role in daily life, the construction of moral education curriculum will have important consequences on the final effect of moral education work through the management of curriculum objectives, curriculum structure, curriculum content, curriculum implementation, and curriculum evaluation. The development and application of big data bring new direction for the enhancement and progress. This work gives the definition of big data in the teaching of moral education in universities. Secondly, the application status of big data in moral education teaching in colleges is studied. According to the existing research, the popularization of big data technology has completely changed the teaching concept of moral education in colleges and universities. Based on the second part, abundant theoretical research has been achieved and successfully applied in the teaching of moral education. Finally, this paper designs targeted big data strategies and analyzes the differences of different big data technologies in the effects of moral education to improve the effects of moral education in modern colleges and universities. The research of this paper has both theoretical and practical significance.
A Novel Low-Profile 5G MIMO Antenna for Vehicular Communication
Authors: Kanagasabai Malathi , Shanmuganathan Shanmathi , Alsath M. Gulam Nabi , Palaniswamy Sandeep Kumar
Published: October 2022

The proposed work is a novel low-profile 5G MIMO antenna configuration to exhibit dual-band frequencies for 5G NR-n2 band (1.9 GHz) and safety band (ITS-5.9 GHz) in vehicular communication. In the proposed antenna, it is quite difficult to achieve the lowest resonance frequency in a comparatively miniaturized dimension concerning its operating wavelength. The designed antenna is a modified square patch with the dual-band resonance achieved by the incorporation of slots for increasing the electrical length within the dimension. Hence, the design comprises ring and loop slots exhibiting resonance at 1.9 GHz and the loop U, and modified-W slots for 5.9 GHz. The antenna achieves 1.9% and 0.64% impedance bandwidth and a peak gain of 1.944dBi and 6.06dBi at the resonant frequencies of 1.9 GHz and 5.9 GHz, respectively, with dimensions of 0.114λo × 0.114λo × 0.0016λo, where λo is the wavelength of the lowest operating frequency. The MIMO configuration is presented to assess the antenna’s suitability for large-scale applications. The MIMO antenna presented here is deployed with the edge-to-edge distance between the single element radiators being 0.01λo by parametric sweep. The presented MIMO antenna provides an isolation value greater than 19 dB because of reduced mutual coupling between the single element radiators in that MIMO structure due to the presence of a ground slot. The ECC values are 1.659 × 10−9 and 0.000601 for frequencies of 1.9 GHz and 5.9 GHz, respectively, and the diversity gain is relatively near 10 dB, which is the acceptable value for MIMO antennas. This modified square single-element and MIMO antenna provides a relatively higher gain and better performance in vehicular communication for GSM and safety applications. The MIMO configurations’ on-vehicle analysis is performed to check the reliability of the designed antenna in a vehicular environment.
Synthesis of the Types and Trends of Review Articles
Authors: Zhai Xiuwen , Razali Abu Bakar , Sulaiman Tajulripin
Published: October 2022

The practice of review writing is an essential component of postgraduate students’ academic studies for graduation requirement and especially for those who are undergoing their postgraduate studies by theses by publication. However, very few studies have focused on review genres. In this review, the researchers would like to offer an overview of different types of review articles and identify the trend in the development of the review article genre. The researchers of this study employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. They identified the published articles specific to the review genres via a structured keyword search in Web of Science, Scopus, and Google Scholar (from the years 2019–2022). A mixed analysis approach (e.g., qualitative analysis combined with quantitative analysis) was conducted to further examine the selected articles using the data visualization software CiteSpace. The results showcased that there were currently a limited number of review types in social science disciplines. The researchers call for more effort to discover new models for writing review genres in the EFL/ESL context. This study also discusses the theoretical and practical implications.
Identification of HIBCH as a Fatty Acid Metabolism-Related Biomarker in Aortic Valve Calcification Using Bioinformatics
Authors: Chen Jun-Yu , Sun Ya-Ru , Xiong Tao , Wang Guan-Nan , Chang Qing
Published: October 2022

Objective. To identify fatty acid metabolism-related biomarkers of aortic valve calcification (AVC) using bioinformatics and to research the role of immune cell infiltration for AVC. Methods. The AVC dataset was retrieved from the Gene Expression Omnibus database. R package is used for differential expression genes analysis and weighted gene coexpression analysis. The differentially coexpressed genes were identified by the Venn diagram, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of differentially coexpressed genes. Functions closely related to AVC were identified by GO and KEGG enrichment analyses of differentially coexpressed genes. Genes related to fatty acid metabolism were retrieved from the Molecular Signatures Database (MSigDB) database. After removing duplicate genes, least absolute shrinkage and selection operator (LASSO) regression analysis, support vector machine recursive feature elimination (SVM-RFE), and random forest were applied to recognize biomarkers related to fatty acid metabolism in AVC. The CIBERSORT tool was used to analyze infiltration of immune cells in normal and AVC samples. Correlations between biomarkers and immune cells were calculated. Finally, HIBCH-related pathway was predicted by single-gene gene set enrichment analysis (GSEA). Results. 2416 differentially expressed genes and one coexpression module were identified. A total of 1473 differentially coexpressed genes were acquired. GO and KEGG enrichment analyses demonstrated that differentially coexpressed genes were closely related to fatty acid metabolism. LASSO regression analysis, SVM-REF, and random forest revealed that 3-hydroxyisobutyryl-CoA hydrolase (HIBCH) was a biomarker of fatty acid metabolism-related genes in AVC. Significant high levels of memory B cells were found in AVC than normal samples, while activated natural killer (NK) cells were significantly low in AVC than normal samples. A significantly positive relevance was observed between HIBCH and activated NK cells, regulatory T cells, monocytes, naïve B cells, activated dendritic cells, resting memory CD4 T cells, resting NK cells, and CD8 T cells. A significantly negative relevance was observed between HIBCH and activated memory CD4 T cells, memory B cells, neutrophils, gamma delta T cells, M0 macrophages, and plasma cells. The single-gene GSEA results suggest that HIBCH may work through the inhibition of multiple immune-related pathways. Conclusion. HIBCH is closely relevant to immune cell infiltration in AVC and could be applied as a diagnostic marker for AVC.
Resistance Training Combined with Balance or Gait Training for Patients with Parkinson’s Disease: A Randomized Controlled Pilot Study
Authors: Biebl Johanna Theresia , Azqueta-Gavaldon Monica , Wania Cornelia , Zettl Olena , Woiczinski Matthias , Bauer Leandra , Storz Claudia , Bötzel Kai , Kraft Eduard
Published: October 2022

Background. Gait and balance disorders in patients with idiopathic Parkinson’s disease (PD) lead to major mobility limitations. To counteract this, physical therapy such as gait, balance, or resistance training is applied. Integrative training methods, which combine these elements, could be particularly effective. Objective. The objective of this study is to evaluate and compare the effects of two integrative interventions on gait and balance of patients with PD. Methods. Twenty-six patients with PD received either resistance training in combination with gait training (gait resistance training, GRT) or resistance training in combination with balance training (stability resistance training, SRT) for six weeks. Gait and balance outcome parameters were assessed before, immediately after, and six weeks after the interventions. The primary outcome parameters were the functional reach test to evaluate balance and stride length to evaluate gait. Secondary outcomes included further gait analysis parameters, knee extension strength, the timed up and go test, and the six-minute walk test. Results. The functional reach test results were significantly better after the intervention in both groups. Stride length increased significantly only in the GRT group. Several further gait parameters and the six-minute walk test improved in the GRT group, and the increase in gait speed was significantly higher than in the SRT group. The SRT group performed better after the intervention regarding the timed up and go test and knee extension strength, the latter being significantly more improved than in the SRT group. At six-week follow-up, the improvement in functional reach was maintained in the SRT group. Conclusions. Integrative therapies, combining gait or balance training with resistance training, have specific positive effects in PD rehabilitation. More pronounced effects on gait parameters are achieved by GRT, while SRT has more impact on balance. Thus, the combination of both training methods might be particularly efficient in improving the mobility of PD patients.
Inhibition of miR-652-3p Regulates Lipid Metabolism and Inflammatory Cytokine Secretion of Macrophages to Alleviate Atherosclerosis by Improving TP53 Expression
Authors: Liu Haiyun , Zuo Changpeng , Cao Lijuan , Yang Naiquan , Jiang Tingbo
Published: October 2022

Purpose. The aim was to elucidate the regulatory function of miR-652-3p on lipid metabolism and inflammatory cytokine secretion of macrophages in atherosclerosis. Methods. miR-652-3p level in atherosclerosis patients, ox-LDL-treated macrophages, and their controls were monitored by Q-PCR. After ox-LDL treatment and miR-652-3p mimic, si-TP53 and their controls transfection, ELISA, and Q-PCR assays were used to detect IL-1ß, IL-6, and TNF-α levels. oil red O staining was processed to verify cholesterol accumulation. CE/TC and lipid metabolism were also detected. The protein levels of ABCA1, ABCG1, PPARα, CRT1, ADRP, and ALBP were detected by western blot assay. Based on the TargetScan database, the TP53 3

′

UTR region had complementary bases with miR-652-3p, which was also verified by dual-luciferase reporter gene assay. Finally, the regulation of miR-652-3p and TP53 was confirmed by rescue assay in atherosclerosis. Results. miR-652-3p is highly expressed in atherosclerosis, miR-652-3p inhibitor decreased IL-1β, IL-6, and TNF-α expression after ox-LDL treatment. Knockdown of miR-652-3p reduces foam formation in ox-LDL-treated macrophages. miR-652-3p inhibitor ameliorates cholesterol accumulation and lipid metabolism disorder. miR-652-3p negatively regulated TP53 in atherosclerosis. Si-TP53 rescued the effect of miR-652 inhibitor in atherosclerosis. Conclusion. miR-652-3p regulates the lipid metabolism of macrophages to alleviate atherosclerosis by inhibiting TP53 expression. It might be a potential target for atherosclerosis treatment.
University Media Content Detection and Classification Based on Information Fusion Algorithm
Authors: Zhang Shuntao , Yu Qinglan , Yang Tianming , Peng Kai
Published: October 2022

In order to further solve the problems in promoting the classification of media content in colleges and universities, the effective analysis and understanding of multimedia data content can be better realized based on the characteristics of multimedia data in colleges and universities, combining with the characteristics of rich information, large differences in performance, and large amount of large-scale data. This essay mainly introduces the technology of university media content detection and classification based on information fusion algorithm and focuses on the application of university multimedia content detection, analysis, and understanding, to explore the image discrimination auxiliary attribute feature learning and content association prediction and classification. A benchmark model for media content detection and classification is constructed. Through the model test, it is found that the

F
1

value of the model is more than 70%, the check rate is more than 80%, and the recall rate is more than 50%. On this basis, a content detection system based on campus network is constructed.
Machine Learning-Based Aerobic Exercise Recognition and Its Effect on Health Status of College Students
Authors: Tu Xiaohong , Zhang Shuhua , Lai Zhirong , Xiao Xianglin , Zhang Long
Published: October 2022

It was to explore the role of motion recognition technology based on the convolutional neural network (CNN) model in guiding the aerobic exercise of college students and its impact on their physical and mental health, providing a scientific and effective method for students to have a healthy body and mood. 256 college students were randomly divided into control group (appropriate aerobic exercise was selected by self-evaluation, and exercise was performed spontaneously) and observation group (aerobic exercise under the guidance of machine learning model-based motion recognition technology), 128 cases in each group. The changes in the physical and psychological status of the two groups of college students were evaluated after one year. The recognition rate of CNN algorithm test results (92.98%) and the recognition accuracy of stationary, walking, running, squatting, hand raising, seated position, lunge, and other movement states were higher than those of recurrent neural network (RNN) (52.22%) and deep neural network (DNN) (40.21%) algorithms (

P
<
0.05

); after 1 year of exercise, the 800/1,000 m running performance, standing long jump performance, 1 min sit-up performance, vital capacity, maximal ventilator volume per minute (MVV) and vital capacity/body mass index, stroke volume (SV), cardiac output (CO), ejection fraction (EF), heart rate (HR), ejection time (ET), mean systolic ejection rate (MSER), mean velocity of circumferential fibre shortening (MVCF) of the observation group were superior to those of the control group, and tension, anger, depression, fatigue, panic, energy, self-related emotions, and the improvement of total mood disturbance (TMD) score were also superior to those before exercise. The improvement effect of physical fitness, cardiopulmonary function, and mentality of college students in the observation group was better than that in the control group (

P
<
0.05

). Aerobic exercise can effectively improve the physical fitness, cardiopulmonary function, and adverse mentality of college students, and through the assistance of machine learning, exercise recognition technology can further improve the effect of aerobic exercise, which is worthy of application and promotion.
Analysis of the Evolution of Sea Water Quality in the Spanish Coast from Satellite Images before and during a Confinement Period
Authors: Parra Mar , Parra Lorena , Jimenez Jose M. , Lloret Jaime
Published: October 2022

Satellite imaging, a form of remote sensing, can be used to analyse water quality, which must be monitored for proper and sustainable environmental management. This paper studies the effect of a sea traffic reduction in the Alboran Sea (Spain), analysing the changes in water quality before (from February 3rd, 2020) and during (until June 22nd, 2020) a confinement period. This was an unprecedented event in modern times and brought an interesting opportunity to study dynamics when the human impact is reduced. The study of these dynamics and the concentration levels with little human effect is important for environmental conservation purposes. We applied already existing indices using ArcGIS and ACOLITE to determine the following environmental parameters: colored dissolved organic matter (CDOM), suspended particulate matter (SPM), chlorophyll-a (Chl-a), and harmful algal blooms (HABs). Prequarantine concentration levels can reach up to 4 a(CDOM)440 (CDOM), 18 g/m3 (SPM), and 100 μg/L (Chl-a). Most prequarantine days presented an increment in either concentration level or distribution from the day before. The effects a sudden human impact has on an ecosystem which experimented reduced human influence for months were shown. On the day before the said impact (June 12th), three of the parameters were barely detected with concentration levels of mostly 2 a(CDOM)440 (CDOM), 6 g/m3 (SPM), and 25 μg/L (Chl-a), and sparse distribution. Afterwards (June 22nd), their levels went up to 4 a(CDOM)440 (CDOM), 14 g/m3 (SPM), and 1000 μg/L (Chl-a) and were distributed near the ports. The results presented in this study show that the main drivers of change when human impact was reduced were climatologic events (such as storms). Nevertheless, the importance of the human facto can be seen through the CDOM, SPM, and Chl-a plume near port areas observed the day after port activity was reactivated, June 22nd.
CD59-Regulated Ras Compartmentalization Orchestrates Antitumor T-cell Immunity
Authors: Li Luying , Ding Peipei , Lv Xinyue , Xie Suhong , Li Ling , Chen Jianfeng , Zhou Danlei , Wang Xiaochao , Wang Qi , Zhang Wei , Xu Yanqing , Lu Renquan , Hu Weiguo
Published: October 2022

T cell–mediated immunotherapy represents a promising strategy for cancer treatment; however, it has achieved satisfactory clinical responses in only a limited population. Thus, a broader view of the T-cell immune response is required. The Ras/MAPK pathway operates in many important signaling cascades and regulates multiple cellular activities, including T-cell development, proliferation, and function. Herein, we found that the typical membrane-bound complement regulatory protein CD59 is located intracellularly in T cells and that the intracellular form is increased in the T cells of patients with cancer. When intracellular CD59 is abundant, it facilitates Ras transport to the inner plasma membrane via direct interaction; in contrast, when CD59 is insufficient or deficient, Ras is arrested in the Golgi, thus enhancing Ras/MAPK signaling and T-cell activation, proliferation, and function. mCd59ab deficiency almost completely abolished tumor growth and metastasis in tumor-bearing mice, in which CD4+ and CD8+ T cells were significantly increased compared with their proportions in wild-type littermates, and their proportions were inversely correlated with tumor growth. Using bone marrow transplantation and CD4+ and CD8+ T-cell depletion assays, we further demonstrated the critical roles of these cells in the potent antitumor activity induced by mCd59ab deficiency. Reducing CD59 expression also enhanced MAPK signaling and T-cell activation in human T cells. Therefore, the subcellular compartmentalization of Ras regulated by intracellular CD59 provides spatial selectivity for T-cell activation and a potential T cell–mediated immunotherapeutic strategy.
DKK1 Promotes Tumor Immune Evasion and Impedes Anti–PD-1 Treatment by Inducing Immunosuppressive Macrophages in Gastric Cancer
Authors: Shi Tao , Zhang Yipeng , Wang Yue , Song Xueru , Wang Hanbing , Zhou Xiaoyu , Liang Kaijie , Luo Yuting , Che Keying , Wang Xuan , Pan Yunfeng , Liu Fangcen , Yang Ju , Liu Qin , Yu Lixia , Liu Baorui , Wei Jia
Published: October 2022

Tumor-associated macrophages (TAM) have key functions in promoting a suppressive tumor immune microenvironment (TIME) and immune evasion, which largely limit treatment effects of immune-checkpoint inhibitors (ICI) in different cancers, including gastric cancer. Dickkopf-1 (DKK1) is associated with tumor progression and has been shown to negatively regulate antitumor immunity, but the impact of DKK1 on the TIME remains incompletely understood. Here, we found that tumoral DKK1 expression is closely associated with worse survival and a suppressive TIME in gastric cancer patients. Results from in vitro coculture assays suggested that DKK1 induces macrophages to become immunosuppressive, thereby inhibiting antitumor responses of CD8+ T cells and natural killer (NK) cells. In vivo DKK1 blockade in syngeneic gastric cancer mouse models reprogramed TAMs to restore the immune activity in the TIME and triggered significant tumor regression. DKK1 blockade also directly reduced the growth of human gastric cancer tumors with high DKK1 expression in a xenograft model. Mechanistically, DKK1 interacted with cytoskeleton-associated protein 4 (CKAP4) on the macrophage surface and activated downstream PI3K–AKT signaling, which contributed to immune suppression. TAM reprogramming by DKK1 blockade also augmented the efficacy of programmed cell death protein-1 (PD-1) blockade in gastric cancer models. Therefore, our study provides novel insights into the role of DKK1 on tumor-intrinsic, innate, and adaptive antitumor immunity modulation and suggests that DKK1 is a promising immunotherapeutic target for enhanced PD-1 blockade therapy in gastric cancer.
Barriers to Home Haemodialysis
Authors: Lloyd Aled , Jefferies Helen , Pyart Rhodri , Roberts Gareth
Published: October 2022

Introduction: Significant variation exists in the prevalence of home haemodialysis (HHD) among UK renal centres. Our centre has a HHD prevalence of 2%, and we aimed to study how many patients who chose HHD as their preferred mode of renal replacement therapy (RRT) went on to receive this treatment and the barriers to starting this treatment. Methods: A retrospective single-centre analysis of electronic medical records for all patients who chose HHD at the time of RRT education was performed, and data were collected on patient demographics, comorbidity, frailty, RRT events, and barriers to HHD. Results: 116 patients chose HHD as their preferred mode of RRT between 2006 and 2018. Of these patients, 93 required RRT, but only 28 patients ever received HHD. No statistical difference was identified between those patients who only received unit haemodialysis (UHD) and those who went onto receive HHD with respect to age, gender, comorbidity, frailty, and socioeconomic deprivation. Patient choice, change in clinical condition, transplantation, home environment, vascular access problems, and training delays were identified as reasons patients did not start HHD. No documented reason could be found in 9 patients with a breakdown of communication between clinics and peripheral dialysis units attributed as a significant contributor in some of these patients. Of the 26 patients who started HHD after UHD, 19 did so within 1 year of starting UHD. Conclusion: Most patients who choose HHD do not receive HHD. Many patients never start HHD because of potentially reversible barriers including inadequate communication among clinicians about patient choices, patients changing their minds once in a dialysis unit, and inadequate timely training support.
BRAF V600E-Mutant Glioblastoma with Extracranial Metastases Responsive to Combined BRAF and MEK Targeted Inhibition: A Case Report
Authors: Munjapara Vasu , Heumann Thatcher , Schreck Karisa C. , Gross John M. , Perez-Heydrich Carlos , Gujar Sachin K. , Eberhart Charles G. , Holdhoff Matthias
Published: October 2022

Recent advancements in understanding the biology of glioblastomas (GBM) and increasing adoption of genomic sequencing in oncology practice have led to the discovery of several targetable mutations in these cancers. Among them, the BRAF V600E mutation can be found in approximately 3% of GBM. Despite the aggressive nature of GBM, metastatic disease is rarely observed. While there are growing data utilizing BRAF-targeting strategies in patients with GBM, data examining their efficacy in cases of metastatic GBM are lacking. We present the case of a 46-year-old female with GBM, isocitrate dehydrogenase (IDH)-wildtype and O6-methylguanine-DNA methyltransferase promoter (MGMT) unmethylated, BRAF V600E-mutant, and MYC amplified with extra-central nervous system spread to the spine and lung. Four months after completion of treatment with standard chemoradiation and temozolomide, the patient developed severe back pain, leading to the eventual discovery of her metastatic disease. Based on the presence of the BRAF V600E mutation, the patient was treated with and achieved an intracranial and systemic response to combination BRAF-MEK targeted inhibition for 9 months before evidence of progression.
Multicenter Prospective Observational Study to Evaluate the Therapeutic Effect and Safety of a Combination of Montelukast and Levocetirizine for Allergic Rhinitis when Administered to Patients with Allergic Rhinitis and Asthma
Authors: Kim Min-Hye , Sohn Kyoung-Hee , Park Hye Jung , Nam Young Hee , Kim Mi-Hye , Jung Jae-Woo , Kwon Jae-Woo , Shin Yoo Seob , Park Jong-Sook , Cho Young-Joo , Park Choon-Sik , Choi Byoung Whui
Published: October 2022

Introduction: Allergic rhinitis and asthma share a common inflammatory mechanism and are closely related, recognized as “one airway disease.” Thus, the guidelines recommend allergic rhinitis and asthma be treated together, and leukotriene antagonists and antihistamines have been administered simultaneously; however, there are few reports of the use of combination drugs so far. Methods: The aim of the study was to evaluate the treatment effects and adverse events of Monterizine® (a combination of montelukast and levocetirizine); a total of 2,254 patients with perennial allergic rhinitis and asthma were prospectively enrolled from 60 hospitals nationwide in Korea. They were followed up for 3 (Period 1) or 6 months (Period 2). Total nasal symptom score (TNSS), satisfaction, and safety data were collected and compared to baseline. Results: TNSS scores were analyzed for 2,254 subjects. At Period 1 (n = 2,024) and 2 (n = 1,861), the scores decreased significantly from baseline (−1.20 ± 2.49 and −1.63 ± 2.78, p < 0.001). The mean quality of life (QoL) was significantly improved at Period 1 and 2 relative to baseline (−3.75 ± 6.58, −4.83 ± 7.11, both p < 0.0001). There were no serious adverse drug reactions, but there were some minor reactions including nasopharyngitis (2.92%), rhinitis (0.37%), and somnolence (0.34%). Conclusions: TNSS score and QoL were significantly improved by 3–6 months’ treatment with Monterizine without significant adverse reactions. These results indicate that Monterizine, as a combination drug, is effective and safe for improving nasal symptoms and quality of life in patients with allergic rhinitis who also have asthma.
Sustainability Recommendations and Practices in School Feeding: A Systematic Review
Authors: Batistela dos Santos Emanuele , da Costa Maynard Dayanne , Zandonadi Renata Puppin , Raposo António , Assunção Botelho Raquel Braz
Published: October 2022

Considering the importance of schools for sustainable food offers and the formation of conscientious citizens on sustainability, this systematic review aimed to verify the recommendations on sus­tainability in school feeding policies and the sustainability practices adopted in schools. The research question that guided this study is “what are the recommendations on sustainability in school feeding policies and the sustainability practices adopted in schools?”. This systematic review was prepared according to PRISMA, and its checklist was registered in PROSPERO. Specific search strategies for Scopus, Web of Science, Pubmed, Lilacs, Google Scholar, and ProQuest Dissertations & Theses Global were developed. The included studies’ methodological quality was evaluated using the Meta-Analysis Statistical Assessment and Review Instrument (MASTARI). A total of 134 studies were selected for a full reading. Of these, 50 met the eligibility criteria and were included in the systematic review. Several sustainability practices were described. The most cited are school gardens and education activities for sustainability. However, actions carried out in food services were also mentioned, from the planning of menus and the purchase of raw materials (mainly local and organic foods, vegetarian/vegan menus) to the distribution of meals (reduction of organic and inorganic waste: composting, recycling, donating food, and portion sizes). Recommendations for purchasing sustainable food (organic, local, and seasonal), nutrition education focused on sustainability, and reducing food waste were frequent; this reinforces the need to stimulate managers’ view, in their most varied spheres, for the priority that should be given to this theme, so that education for sustainability is universally part of the curricula. The importance of education in enabling individuals to promote sustainable development is reaffirmed in Sustainable Development Goal 4 (SDG 4). The development of assessment instruments can help monitor the evolution of sustainable strategies at schools and the main barriers and potentialities related to their implementation.