bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation of Fire in Underground Commercial Street
Authors: Yao Hao-Wei , Lv Ke-Feng , Li You-Xin , Zhang Jin-Guang , Lv Zhong-Bin , Wang Dong , Zhan Zhen-Yu , Wei Xiao-Ge , Song Huai-Tao , Qin Heng-Jie
Published: September 2022

In this study, while aiming at the prevention of fire accidents in underground commercial streets, an underground commercial street is selected as a research object, and the building fire is numerically simulated using the PyroSim software. Fire simulation scenarios are divided according to different fire zones by analyzing the temperature, carbon monoxide (CO) concentration, and visibility in the smoke layer inside a building. The available safe evacuation time is calculated according to the critical fire hazard judgment conditions. We found that the time when the flue gas temperature and CO concentration reached the critical value in the fire site was longer than the time when the visibility reached the critical value reducing or even avoiding the spread of smoke from the fire area to the evacuation stairs can provide effective help for crowd evacuation. Finally, the safety of the building is evaluated, and fire prevention countermeasures are defined based on the actual situation and fire numerical simulation results to reduce fire incidence, casualties, and economic losses.
Predicting Stock Market Volatility from Candlestick Charts: A Multiple Attention Mechanism Graph Neural Network Approach
Authors: Wang Jun , Li Xiaohan , Jia Huading , Peng Tao , Tan Jinghua
Published: September 2022

As an important part of financial market, stock market price volatility analysis has been the focus of academic and industry attention. Candlestick chart, as the most widely used indicator for evaluating stock market price volatility, has been intensively studied and explored. With the continuous development of computer technology, the stock market analysis method based on candlestick chart is gradually changed from manual to intelligent algorithm. However, how to effectively use stock market graphical indicators to analyze stock market price fluctuations has been pending solution, and deep learning algorithms based on structured data such as deep neural networks (DNN) and recurrent neural networks (RNNs) always have the problems of making it difficult to capture the laws and low generalization ability for stock market graphical indicators data processing. Therefore, this paper proposes a quantification method of stock market candlestick chart based on Hough variation, using the graph structure embedding method to represent candlestick chart features and multiple attention graph neural network for stock market price fluctuation prediction. The experimental results show that the proposed method can interpret the candlestick chart features more accurately and has superiority performance over state-of-the-art deep learning methods, including SVM, CNN, LSTM, and CNN-LSTM. Relative to these algorithms, the proposed method achieves an average performance improvement of 20.51% in terms of accuracy and further achieves at least 26.98% improvement in strategy returns in quantitative investment experiments.
Accuracy of Ultrasound Diagnosis of Benign and Malignant Thyroid Nodules: A Systematic Review and Meta-Analysis
Authors: Shi Mei , Nong Dandan , Xin Minhui , Lin Lifei
Published: September 2022

Background. Distinguishing between benign and malignant thyroid nodules remains difficult. Ultrasound has been established as a non-invasive and relatively simple imaging technique for thyroid nodules. This study aimed to assess the diagnostic accuracy of conventional ultrasound and ultrasound elastography for the differentiation between benign and malignant thyroid nodules by meta-analyzing published studies. Methods. Literature was retrieved from the PubMed and Embase databases from inception to May 31, 2022. The literature was screened using inclusion and exclusion criteria. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS2) scale was used to assess the quality of the included literature. Publication bias of the included studies was assessed by Deek’s funnel plot. Heterogeneity tests were performed using Cochrane Q statistic and I2 statistic. Results. Finally, 9 articles were included. The meta-analysis showed that the combined sensitivity and specificity of ultrasound for the diagnosis of thyroid nodules were 0.88 [95% CI (0.83–0.91)] and 0.86 [95% CI (0.79–0.90)], respectively. The area under the curve (AUC) of the summary receiver operating characteristic curve (SROC) was 0.92 [95% CI (0.90–0.94)]. There was no significant publication bias in this study. Discussion. Existing evidence shows that ultrasound has a certain accuracy in diagnosing benign and malignant thyroid nodules, providing a scientific basis for thyroid assessment and diagnosis.
Construction and Application of Index System for Integration of Red Cultural Resources and Ideological and Political Education Based on Fuzzy Judgment Method
Authors: Sun Xiuhong , He Zhenzhen
Published: September 2022

This article states the fuzzy judgment method of the established index system around the history resources and red cultural resources. Firstly, in the second part, it summarizes the system of red culture in ideology and politics and the concepts of various resources of red culture. Then, in the third part, through the construction of the judgment index system, three judgment methods of the index system are put forward, which are the rank sum ratio judgment method, comprehensive index judgment method, and analytic hierarchy process (AHP) judgment method, and the weight judgment calculation of the index system is put forward. Finally, the fourth part puts forward the red cultural resource judgment method of the index system weight, but universities should enhance the cultural heritage of resource system. Besides this theory, the article also analyzes the necessity and effectiveness of the integration of red culture in the new era. This will help to investigate and test the current situation of red culture integrating into the local university foundation. Red culture is the culture formed under the red background, that is, the revolutionary war era. The special background of the times endows red culture with unique vitality, which makes it a unique component of China’s advanced culture. Red culture has been finally condensed into a representative culture with Chinese characteristics, which contains endless spiritual wealth.
Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
Authors: Yu Siyue
Published: September 2022

In order to analyze the effect of labor education (LE) for college students in college education, this paper combines big data technology to analyze the effectiveness of LE for college students. Moreover, this paper classifies the constraints of clustering effectiveness indicators and analyzes the characteristics and applications of various criteria in detail. In addition, this paper compares the effectiveness criteria of several commonly used fuzzy clustering based on relative criteria and compares and analyzes the performance and evaluation effect of these criteria. On this basis, this paper proposes an improved effectiveness criterion. Through the controlled experiment, it can be seen that the LE for college students can effectively improve the various abilities of college students, and it has a certain auxiliary effect on the learning and growth of college students.
The Application of Dance Movement Skill Feature Recognition in Dance Teaching Movement Analysis
Authors: Zhang Dixin
Published: September 2022

In order to improve the effect of dance teaching action analysis, this paper uses dance action skill feature identification method to analyze dance teaching action and combines teaching and technology to simulate dance action. Moreover, this paper conducts dynamic modeling of dance movements and analyzes the typical properties of several dynamic modeling techniques. At the same time, this paper takes the double-joint dance movement limb as the control object for comparative analysis. The comparison shows that the fractional sliding mode approaching law has better smoothing properties. In addition, this paper selects the control method combining fractional calculus and sliding mode control theory to improve the tracking speed and following effect of the double joints of dance movements. Finally, this paper studies the variance virtual spindle cross-coupling control method based on fractional-order sliding mode to further improve the synchronization accuracy of dance movement limb joints. From the experimental data, it can be seen that the application effect of dance movement skill feature recognition in dance teaching movement analysis is very good.
Glycogen Synthase Kinase 3β inhibits BMSCs Chondrogenesis in Inflammation via the Cross-Reaction between NF-κB and β-Catenin in the Nucleus
Authors: Wang Zhenggang , He Zhiyi , Zhang Weikai , Liang Shuang , Chen Kun , Xu Shimeng , Zhang Ying , Cheng Peng
Published: September 2022

Inflammation can influence the pluripotency and self-renewal of mesenchymal stem cells (MSCs), thereby altering their cartilage regeneration ability. Sprague-Dawley (SD) rat bone marrow mesenchymal stem cells (BMSCs) were isolated and found to be defective in differentiation potential in the interleukin-1β- (IL-1β-) induced inflammatory microenvironment. Glycogen synthase kinase-3β (GSK-3β) is an evolutionarily conserved serine/threonine kinase that plays a role in numerous cellular processes. The role of GSK-3β in inflammation may be related to the nuclear factor-κB (NF-κB) signaling pathway and the Wnt/β-catenin signaling pathway, whose mechanism remains unclear. In this study, we found that GSK-3β can inhibit chondrogenesis of IL-1β-impaired BMSCs by disrupting metabolic balance and promoting cell apoptosis. By using the inhibitors LiCl and SN50, we demonstrated that GSK-3β regulates the chondrogenesis via the NF-κB and Wnt/β-catenin signaling pathways and possibly mediates the cross-reaction between NF-κB and β-catenin in the nucleus. Given the molecular mechanisms of GSK-3β in chondrogenic differentiation in inflammation, GSK-3β is a crucial target for the treatment of inflammation-induced cartilage disease.
Numerical Modelling, Simulation, and Analysis of the End-Milling Process Using DEFORM-3D with Experimental Validation
Authors: Deepanraj B. , Senthilkumar N. , Hariharan G. , Tamizharasan T. , Tefera Bezabih Tesfaye
Published: September 2022

In this present work, finite element analysis (FEA)-based simulation of end-milling of AISI1045 steel using tungsten carbide tool was performed using DEFORM-3D simulation software. Usui tool wear model, Johnson-cook material model and adaptive remeshing are considered during machining simulation. The impact of machining variables rate of feed, tool speed, and depth of cut was investigated, and the best integration of variables was distinguished for lower cutting temperature, principal stress, cutting forces, effective stresses, tool wear, and effective strain. The obtained results were correlated using experimentation in a vertical machining center attached with a Kistler tool dynamometer with data acquisition setup for capturing the cutting forces, and an infrared (IR) thermometer was used to measure the cutting temperature, and a comparison was done. Results showed a good correlation. There is a relationship between experimental and numerical results, and simulation findings can be utilised for interpreting the influence of machining parameters.
Exploring Artificial Intelligence Architecture in Data Cleaning Based on Bayesian Networks
Authors: Zhang Suzhen , Wang Yuechun , Lv Qing
Published: September 2022

In order to further improve the technical level of data cleaning and data mining and better avoid the defects of uncertain knowledge expression in traditional Bayesian networks, a Bayesian network algorithm based on combined data cleaning and mining technology is proposed, and a manual functional data cleaning architecture based on Hadoop is constructed. The results show that the traditional neighbor sorting algorithm with window size of 5 takes the least time to process the same amount of data. The nearest neighbor sorting algorithm with window size 7 is always the longest. The time consumption of the nonfixed window nearest neighbor sorting algorithm is similar to that of the traditional nearest neighbor sorting algorithm with a window size of 5. However, with the increase of data volume, the consumption time increases rapidly until it approaches the consumption time of the traditional sorting nearest neighbor algorithm with window size of 7. Therefore, the algorithm can improve the precision of data cleaning at the expense of cleaning speed, which proves that the artificial intelligence architecture based on combined data significantly improves the efficiency of the algorithm and can effectively analyze and process large data sets.
Cracking Behaviour of Alkali-Activated Aluminosilicate Beams Reinforced with Glass and Basalt Fibre-Reinforced Polymer Bars under Cyclic Load
Authors: Nagajothi S. , Elavenil S. , Angalaeswari S. , Natrayan L. , Paramasivam Prabhu
Published: September 2022

Cement is an essential material for concrete, which is mostly used worldwide second to the consumption of water. Due to the emission of CO2 into the atmosphere, the alternative material of geopolymer concrete was used. In this research work, silica and alumina content such as ground granulated blast furnace slag (GGBS), fly ash, and triggered by alkali activator solutions were used in geopolymer concrete. Due to the dwindling of river sand, alternative material of manufactured sand (M-Sand) was considered. To avoid corrosion problems in reinforced concrete structures, glass fibre reinforced polymer (GFRP) and basalt fibre-reinforced polymer (BFRP) bars were used as an alternative material for steel reinforcement in this work. As per the code, IS: 10262, the concrete mix design of M30 grade has arrived for the control mix and the same proportion was adopted for geopolymer concrete. Six beams of geopolymer and a concrete control beam of

100
×
160
×
1700

 mm were cast and examined under a four-point cyclic load. Cyclic load results were compared with static load under ambient curing. Residual deflection, moment capacity, energy dissipation, and stress–strain behaviour results were compared and discussed. A sudden shear and premature failure were observed in FRP beams under static and cyclic bending tests.
NOMA-Based Integrated Satellite-Terrestrial Networks with Wireless Caching
Authors: Ye Qing , Zhao Faxiang , Xu Weiyang
Published: September 2022

To decrease the transmission delay and alleviate communication congestion, caching has been applied in the integrated satellite-terrestrial networks (ISTNs). In traditional caching schemes, the cache-enabled relays update files during off-peak hours and push them during on-peak hours. However, for the enormous number of end devices in ISTNs, the long-time waiting for off/on-peak hours would decrease the quality of service. To address this issue, this paper proposes a two-tier nonorthogonal multiple access- (NOMA-) based ISTN with wireless caching. Specifically, data transmission of this model consists of two phases. For the first phase, named the file-push-and-placement (FPAP), the satellite employs the NOMA protocol to send information to both the relay and first-tier user. While for the second phase, which is called the file-push-and-delivery (FPAD), second-tier users are served by the relay employing NOMA. Performance analysis of the proposed configuration is carried out, focusing on the exact and asymptotic outage probability (OP), diversity order, and hit probability. Moreover, the influence of key factors on the system performance is also investigated. Compared with the traditional configuration, it is shown analytically and numerically that the proposed scheme achieves lower OP and higher diversity order.
Exosomes Derived from Adipose Mesenchymal Stem Cells Carrying miRNA-22-3p Promote Schwann Cells Proliferation and Migration through Downregulation of PTEN
Authors: Yang Jianqiang , Wang Baoxin , Wang Yating , Feng Chen , Chen Lixiao , Liu Yuying , Chen Xinwei , Dong Pin
Published: September 2022

Peripheral nerve injury (PNI) is often resulting from trauma, which leads to severe and permanently disability. Schwann cells are critical for facilitating the regeneration process after PNI. Adipose-derived mesenchymal stem cells (ADSCs) exosomes have been used as a novel treatment for peripheral nerve injury. However, the underlying mechanism remains unclear. In this study, we isolated ADSCs and extracted exosomes, which were verified by transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA), and western blot (WB). Cocultured with Dorsal Root Ganglion (DRG) and Schwann cells (SCs) to evaluate the effect of exosomes on the growth of DRG axons by immunofluorescence, and the proliferation and migration of SCs by CCK8 and Transwell assays, respectively. Through exosomal miRNA sequencing and bioinformatic analysis, the related miRNAs and target gene were predicted and identified by dual luciferase assay. Related miRNAs were overexpressed and inhibited, respectively, to clarify their effects; the downstream pathway through the target gene was determined by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) and WB. Results found that ADSC-exosomes could promote the proliferation and migration of SCs and the growth of DRG axons, respectively. Exosomal miRNA-22-3p from ADSCs directly inhibited the expression of Phosphatase and Tensin Homolog deleted on Chromosome 10 (PTEN), activated phosphorylation of the AKT/mTOR axis, and enhanced SCs proliferation and migration. In conclusion, our findings suggest that ADSC-exosomes could promote SCs function through exosomal miRNA-22-3p, which could be used as a therapeutic target for peripheral nerve injury.
EMAP II Expression Is Increased on Peripheral Blood Cells from Non-Hodgkin Lymphoma
Authors: Saber Manal Mohamed
Published: September 2022

Tumor immune evasion is a lineament of cancer. Endothelial monocyte activating polypeptide-II (EMAP II) has been assumed to impact tumor immune escape significantly. EMAP II was first reported in the murine methylcholanthrene A-induced fibrosarcoma supernatant and identified as a tumor-derived cytokine. This study evaluated EMAP II expression in peripheral blood cells and its association with treatment outcome, lactate dehydrogenase (LDH) levels, and clinical criteria in non-Hodgkin’s lymphoma (NHL) patients. EMAP II expression on different blood cells obtained from the peripheral blood of 80 NHL patients was evaluated by two-color flow cytometry. The study reported that EMAP II expression was significantly increased in peripheral blood cells in patients with NHL compared to normal volunteers (

P
<
0.001

). Additionally, EMAP II expression levels on blood cells decreased in complete remission (CR) while they increased in relapse. This study showed coexpression of EMAP II and CD36 on peripheral lymphocytes in NHL patients but not in healthy controls (

P
<
0.001

). EMAP II expression on blood cells was associated with increased serum LDH levels. Furthermore, the percentages of EMAP II+/CD36+ peripheral lymphocytes were significantly higher in relapse than in CR and healthy controls. Analyses revealed that higher percentages of EMAP II+CD36+ cells were positively correlated with hepatomegaly, splenomegaly, and an advanced (intermediate and high risk) NHL stage. The results assume that EMAP II might be involved in NHL development and pathogenesis.
Blockchain-Based Secure and Trusted Distributed International Trade Big Data Management System
Authors: Lian Guohua
Published: September 2022

As an object of rapid development of Internet technology in recent years, network security has attracted more and more attention from people from all walks of life and has gradually become a topic in international trade activities. The application of blockchain is also extremely extensive, involving many aspects, such as the development of the metaverse game engine and bank financing. With the launch of the Belt and Road strategy, trade exchanges have become more and more frequent, and at the same time, cross-border e-commerce, a new type of industry that applies Internet information technology, has emerged. The application of blockchain technology to international trade big data processing can not only improve the utilization rate of massive transaction information resources shared by enterprises, governments, financial institutions, and other institutions, but also reduce enterprise costs. The use of blockchain improves the efficiency of data storage, reduces the degree of encryption, and reduces the amount of database access and server resource occupation. This paper mainly studied the application of blockchain in international trade big data system, introduced its secure and trusted distributed network architecture, and analyzed its performance. The experimental results showed that the performance of the decentralized manager was better than that of the centralized manager when processing a large amount of data. The peak throughput of the decentralized manager was about 450 pcs/sec and the peak throughput of the centralized manager was about 150 pcs/sec. And the performance of the storage system in the local area network was better than that in the public network.
Compressive Channel Estimation Based on the Deep Denoising Network in an IRS-Enhanced Massive MIMO System
Authors: Chen Yong , Jiang Fengyuan
Published: September 2022

Integrating large intelligent reflecting surfaces (IRS) into a millimeter-wave (mmWave) massive multi-input-multi-output (MIMO) technique has been a promising approach to enhance the performance of the wireless communication system with the channel state information (CSI). Most existing work assume that ideal channel estimation can be obtained, but the proposed high-dimensional cascaded MIMO channels and passive reflectors pose a great challenge to these methods. To address the abovementioned problems, we proposed a new method for the reduction of training overhead in IRS with a partial ON/OFF model and an optimizing strategy for pilot design approach. The energy consumption of large-scale antenna arrays and the pilot overhead in the training phase of signal transmission are greatly reduced. Besides, we proposed an improved deep residual shrinkage denoising network, which possesses better denoising performance with a soft thresholding model. The channel data can be denoised by deep learning methods, which greatly improve the accuracy of channel estimation. Simulation results demonstrate that the superiority of the proposed network over prior solutions.
Short-Term Prediction Method of Solar Photovoltaic Power Generation Based on Machine Learning in Smart Grid
Authors: Liu Yuanyuan
Published: September 2022

In order to improve the accuracy of ultra short-term power prediction of the photovoltaic power generation system, a short-term photovoltaic power prediction method based on an adaptive k-means and Gru machine learning model is proposed. This method first introduces the construction process of the model and then builds a short-term photovoltaic power generation prediction model based on an adaptive k-means and Gru machine learning models. Then, the network structure and key parameters are determined through experiments, and the initial training set of the prediction model is selected according to the short-term photovoltaic power generation characteristics. And the adaptive k-means is used to cluster the initial training set and the photovoltaic power on the forecast day. The Gru model is trained on the initial training set data of each category, and the generated power is predicted in combination with the trained Gru model. Finally, considering three typical weather types, the proposed method is used for simulation analysis and compared with the other three traditional photovoltaic power generation single prediction models. The comparison results show that the proposed short-term photovoltaic power generation prediction method based on an adaptive k-means and Gru network has better effect, better robustness, and less error.
Electroacupuncture-Regulated miR-34a-3p/PDCD6 Axis Promotes Post-Spinal Cord Injury Recovery in Both In Vitro and In Vivo Settings
Authors: Ma Lili , Ma Lizhong , Yang Yu , Chen Ting , Wang Limin , Deng Qilong
Published: September 2022

Electroacupuncture (EA) could enhance neuroregeneration and posttraumatic conditions; however, the underlying regulatory mechanisms remain ambiguous. PDCD6 (programmed cell death 6) is an established proapoptotic regulator which is responsible for motoneuronal death. However, its potential regulatory role in post-spinal cord injury (SCI) regeneration has remained largely unknown. Further investigations are warranted to clarify the involvement of PDCD6 post-SCI recovery and the underlying mechanisms. In our study, based on bioinformatics prediction, we found that miR-34a-3p might be an upstream regulator miRNA for PDCD6, which was subsequently validated through combined utilization of the qRT-PCR, western blot, and dual-luciferase reporter system. Our in vitro results showed that miR-34a-3p might promote the in vitro differentiation of neural stem cell (NSC) through suppressing PDCD6 and regulating other important neural markers such as fibroblast growth factor receptor 1 (FGFR1), MAP1/2 (MAP kinase kinases 1/2), myelin basic protein (MBP), βIII-tubulin Class III β-tubulin (βIII tubulin), and glial fibrillary acidic protein (GFAP). Notably, in the post-SCI rat model, exogenous miR-34a-3p agomir obviously inhibited the expression of PDCD6 at the protein level and promoted neuronal proliferation, motoneurons regeneration, and axonal myelination. The restorations at cellular level might contribute to the improved hindlimbs functions of post-SCI rats, which was manifested by the Basso-Beattie-Bresnahan (BBB) locomotor test. The impact of miR-34a-3p was further promoted by EA treatment in vivo. Conclusively, this paper argues that a miR-34a-3p/PDCD6 axis might be a candidate therapeutic target for treating SCI and that the therapeutic effect of EA is driven through this pathway.
Multicriteria Evaluation‐GIS Integration Framework for Landfill Site Selection in Limited Space Regions: A Case Study in the West Bank
Authors: Helal Ayah H.
Published: September 2022

Unplanned solid waste disposal is a global challenge that has created severe environmental and health problems, especially in developing countries. The West Bank, a developing region in the Middle East, is an example of a limited space region that suffers dangerous pollution, hazardous odors, and contaminated plantations as consequences of unplanned solid waste dumping sites and landfills. Limited space allotted to the West Bank Palestinians, making it highly inhabited, is the main reason behind the current allocation of solid waste dumping sites that are close to the residential area. Multicriteria evaluation (MCE) method, integrated with geographic information system (GIS) software, is employed here to find optimal solid waste disposal locations in the West Bank. The model assumes the input of two‐factor types, namely natural and artificial. These two types include nineteen criteria. Based on the MCE method, a hierarchy criteria scheme has been developed and used in data analysis by GIS. The hierarchy scheme divides each required criterion into subcriteria with rankings to be presented. Each criterion has been weighted and intersected by the weight overlaying process in GIS to provide the most suitable locations for regional landfills inside the West Bank. Each existing landfill location has then been examined for compliance with the criteria. The results show that all regional five landfills, including a future planned site, exist in the restricted area determined here. However, one landfill is close to suitable places and can be relocated easily. Moreover, about 323.57 km2 can be sufficiently used for regional landfills inside the West Bank, mostly available in the Eastern parts. The findings confirm the applicability of the MCE‐GIS integration strategy in future planning of landfill siting in areas of limited space.
[Retracted] Optimization of Artistic Image Segmentation Algorithm Based on Feed Forward Neural Network under Complex Background Environment
Authors: Li Yibiao
Published: September 2022

Based on the theory and application, this paper discusses the optimization of art image segmentation algorithm based on FFNN (Feed Forward Neural Network). In this paper, residual units are used in the corresponding stages of encoder and decoder, and feature information of several convolution layers in each convolution stage of encoder is extracted at the same time. And the feature pyramid module is used to extract multiscale features from the feature map of the last convolution stage in the encoder. Finally, pixel by pixel additions combine the previously mentioned feature information into the corresponding layer of the decoder. Additionally, an improved weight adaptive algorithm based on feature preservation is suggested in this paper, which addresses the issue that the conventional image segmentation algorithm is noise‐sensitive. The adaptive connection weight mechanism is also introduced. The accuracy and recall rates of this optimization algorithm can both reach 96.574%, according to the results of 50% cross‐validation. All the segmentation performance evaluation indexes of this algorithm are higher than the existing main algorithms. Moreover, the algorithm takes a short time, does not need too much manual intervention, and can effectively segment artistic images. The optimization algorithm in this paper has certain reference significance for the related research of artistic image segmentation.
Molecular Typing Based on Oxidative Stress Genes and Establishment of Prognostic Characteristics of 7 Genes in Lung Adenocarcinoma
Authors: Tu Jing , Tang Min , Li Guoqing , Chen Liang , Huang Yong
Published: September 2022

Oxidative stress could maintain different biological processes in human cancer. However, the effect of oxidative stress on lung adenocarcinoma (LUAD) should be studied. This study analyzed the expression and clinical importance of oxidative stress in LUAD in detail. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were employed for obtaining LUAD expression profiles. Based on oxidative stress-related genes, molecular subtypes substantially correlated with the LUAD prognosis were discovered with ConsensusClusterPlus. Differentially expressed genes (DEGs) among subtypes were found using the Limma software package. Least absolute shrinkage and selection operator- (Lasso-) Cox analysis was employed to create the polygenic risk model. RiskScore and clinically relevant features were used to create nomograms. By utilizing oxidative stress-related genes and reliable clustering, stable molecular subtypes were first discovered. The prognosis, clinical characteristics, route characteristics, and immunological characteristics of these three molecular subtypes were all different. Subsequently, by using differential expression genes among molecular subtypes and Lasso, 7 main genes linked with the oxidative stress phenotype were discovered. A prognostic risk model was also built on the basis of major genes associated with the oxidative stress phenotype. The model demonstrated a high level of resilience and was unaffected by clinical-pathological features. It played a stable predictive role in independent datasets. Ultimately, to improve the prognosis model and survival prediction, RiskScore (RS) was combined with clinicopathological variables, and a decision tree model was used. The model exhibited a high prediction accuracy as well as the ability to predict survival. This research found that oxidative stress-related genes have a major involvement in the onset and progression of LUAD and that they may influence LUAD susceptibility to immunotherapy and standard chemotherapy. Furthermore, the identified risk models for 7 genes linked with oxidative stress exhibited could assist clinical treatment decisions and prognosis prediction. The classifier could be used as a molecular diagnostic tool for assessing LUAD patients’ prognosis risk.
Analysis of College Students’ Ideological and Political Dynamics and Communication Path Based on Reinforcement Learning
Authors: Wu Wenbin , Liu Hongwei
Published: September 2022

Contemporary college students are the main force of future national construction. Their ideological political dynamics are related to the development of the party and the country. Some students have some problems with study concepts and study habits. For a long time, the ideological political education of university students has not been paid attention to, resulting in the inability to accurately analyze the ideological political dynamics of university students. Grasping the ideological political dynamics of university students in the new era is the top priority of current educational work and an important guarantee for the development of ideological political education in universities. With the development of the times, communication channels are also constantly updated. The focus of this article is to analyze the ideological political dynamics and communication channels of university students. To some extent, traditional analysis methods cannot satisfy current research. This paper constructs an analysis model of university students’ ideological political dynamics and communication paths based on reinforcement learning. The Markov decision process and Monte Carlo method are used to analyze the ideological political dynamics and communication paths of college students. The results show the following: (1) the highest accuracy of reinforcement learning is 99.7%, and the lowest is 96.2%; the highest accuracy is 99.7%, and the lowest is 97.4%; the highest recall is 99.6%, and the lowest is 97.6%. (2) The average accuracy rate of reinforcement learning is 98.16%, the average accuracy rate is 98.75%, and the average recall rate is 98.65%. (3) In the ideological political dynamics of college students, the score of value orientation is 6.975, the score of learning status is 8.025, the score of consumption concept is 7.7, and the score of employment is 7.45. (4) In the communication path analysis, there are 12 people in interpersonal communication, 15 people in organizational communication, 21 people in mass communication, 28 people in network communication, and 24 people in Internet communication.
Antimicrobial and Anti‐Biofilm Activities of Thymus fallax Essential Oil against Oral Pathogens
Authors: Moshaverinia Maryam , Sahmeddini Sarina , Lavaee Fatemeh , Zareshahrabadi Zahra , Zomorodian Kamiar
Published: September 2022

Aim. Oral infections associated with a wide diversity of microorganisms, including bacteria and yeasts, occur frequently in humans, affecting the whole oral cavity and well‐being. Oral pathogens easily grow and propagate in the oral cavity, leading to the formation of dental plaque on both soft and hard tissue. The oral cavity contains up to 700 different species of microorganisms, which Candida and Streptococci are the most common organisms. Oral diseases continue to increase despite the best efforts of the medical and scientific communities. During the past decades, drug resistance to common antibiotics used in the treatment of oral infections has been raised to high levels worldwide. To overcome such resistance, there is a growing tendency to use herbal medicine as alternative. This study was conducted to find out the chemical constitution of Thymus fallax (T. fallax) essential oil and to determine its antimicrobial and anti‐biofilm efficacy against common oral pathogens. Materials and Methods. The chemical compositions of the essential oil distilled from T. fallax plants were analyzed using gas chromatography/mass spectrometry (GC/MS). Antimicrobial susceptibility testing against common Streptococcus, Enterococcus, Staphylococcus, and Candida strains was assessed by broth microdilution in 96‐well plates as suggested by the Clinical and Laboratory Standards Institute (CLSI) methods. Biofilm growth and development were assessed using XTT reduction assay. Results. Based on the GC/MS test results, thymol (67.75%) followed by caryophyllene (E‐) (7.27%) was the main component of this essential oil. T. fallax inhibited the growth of examined microbial pathogens at concentrations of 0.031‐16 μL/mL. Also, the essential oil showed biofilm inhibition of greater than 95% in the concentration of 8 μL/mL against all tested bacterial strains as well as Candida albicans (p value < 0.05). Conclusions. Considering the significant antimicrobial activities of T. fallax, this essential oil has the potential to be used as further antimicrobial and anti‐biofilm pharmaceutical products in the control and treatment of oral infections.
Nutritional, Phytochemical, and In Vitro Antioxidant Activity Analysis of Different States of Soy Products
Authors: Robbani Rahat Bin , Hossen Md. Munnaf , Mitra Kanika , Haque Md. Zahurul , Zubair Md. Abu , Khan Shumsuzzaman , Uddin Md. Nazim
Published: September 2022

Consumer demand for food nutritional content and quality is driving the design of plant-based foods that are enhanced with proteins. In this study, we aimed to reveal the nutrient compositional differences of various states of soy flours. We compared soy protein concentrate (SPC) with full fat (FF), raw soy flour (RSF), and defatted (DF) soy flour for investigating nutritional content, phytochemicals, and in vitro antioxidant activity. The results showed that the SPC contained significantly (

p
<
0.001

) higher protein content (65.14%) and low-fat content (0.54%) than RSF, FF, and DF. Furthermore, the findings revealed that all products contain a significant (ANOVA,

p
<
0.001

) amount of essential minerals. The RSF contains significantly higher (

p
<
0.001

) potassium (1178.6 mg), calcium (216.77 mg), and magnesium (247 mg) per 100 g than FF, DF, and SPC. SPC contains essential amino acids, but we were unable to detect phenylalanine and tryptophan due to a limitation in the method. Furthermore, using methanolic and aqueous extracts of RSF, FF, DF, and SPC, the flavonoid, phenolics, and antioxidant capacity were also evaluated. According to the findings, soy products in methanolic extract had higher phenolic (about 12-34 mg/g) and flavonoid (about 63-150 mg/g) levels than aqueous extract. Results also demonstrated that FF had higher phenolic content, and SPC had higher flavonoid content than the other products. In vitro models such as phosphomolybdenum blue, FRAP, DPPH, and ABTS assays were used to study the total antioxidant and free radical scavenging potential of soy products, and results found that soy products contained a significant (

p
<
0.001

) amount of antioxidant equivalent to gallic acid and vitamin C standard. In the DPPH and ABTS assays, the results also showed that soy products can reduce free radicals in different in vitro models. Altogether, these findings suggest that soy flours, particularly DF and SPC, could be a beneficial food ingredient in the formulation of functional foods.
Influences of the Interactions of Genetic Variations of Seven Core Circadian Clock Genes with Lifestyle Factors on Metabolic Parameters
Authors: Yamakawa-Kobayashi Kimiko , Ishikawa Sayaka , Miyake Nagi , Ohhara Yuya , Goda Toshinao
Published: September 2022

Introduction: In mammals, circadian rhythms regulate many behavioral and physiological processes. Genetic and epidemiological studies have shown that dysregulation of the circadian rhythm induces chronic metabolic diseases, such as obesity, diabetes, and dyslipidemia. We aimed to know the interactions of genetic variations of seven core circadian clock genes with lifestyle factors on the determination of metabolic parameters. Methods: We have analyzed the impacts of genotype of seven core circadian clock genes (i.e., CLOCK, BMAL1, PER1, PER2, PER3, CRY1, and CRY2) and lifestyle factors (i.e., physical activity and sleep duration) in 575 Japanese males on the determination of metabolic parameters (i.e., body mass index [BMI], serum glucose, glycated hemoglobin [HbA1c], low-density lipoprotein cholesterol [LDL-C], and high-density lipoprotein cholesterol [HDL-C] levels). Results: We have detected the associations between genotypes of PER3 and serum HbA1c level and genotypes of CRY1 and serum LDL-C level. Additionally, the interactions of the genotypes of PER1 and PER3 with physical activity for determining BMI, the genotypes of CLOCK with physical activity for determining serum HbA1c levels were observed. Furthermore, for determining serum HDL-C levels, the interactions of the genotypes of CRY2 with physical activity or sleep duration were observed. Discussion/Conclusion: Our findings indicate that the interactions of genotypes for core circadian clock genes and lifestyle factors (i.e., physical activity and sleep duration) are important for determining metabolic parameters.
Leadership Styles of Nurse Managers and Employees’ Organizational Commitment during the COVID-19 Pandemic
Authors: Alboliteeh Mohammad
Published: September 2022

Objective: The aim of this study was to determine the leadership styles of nurse managers and then determine the relationship of the respective styles with the organizational commitment of the nurse managers during the COVID-19 pandemic. Methods: A quantitative correlational study design was employed in this investigation. Simple random sampling yielded 259 nurses who participated in this study. It was conducted between October and November 2021 at the government hospitals of the Hail Region, Kingdom of Saudi Arabia. Results: The nurses’ perceived that their nurse managers employed an idealized influence leadership style (9.15). Age, years of experience, and ward assignment were found to have no statistically significant difference on organizational commitment; however, a significant difference was found with nationality. No significant difference was found regarding age with idealized influence, inspirational motivation, intellectual stimulation, or management by exception; however, it differed significantly with individualized consideration, contingent reward, and laissez-faire leadership. No significant differences were found with the years of experience to idealized influence, inspirational motivation, intellectual stimulation, individual consideration, or management by exception; however, it was found significantly different with the contingent reward and laissez-faire leadership. Concerning nationality, a significant difference was found with idealized influence and inspirational motivation. However, no significant difference was found between nationality and intellectual stimulation, individual consideration, contingent reward, management by exception, or laissez-faire leadership. With the ward assignment, no significant difference was found with idealized influence, inspirational motivation, intellectual stimulation, or contingent reward management by exception; however, a significant difference was found with individual consideration and laissez-faire leadership. Conclusion: During the pandemic, nurse managers employed idealized influence leadership styles. Age, years of experience, and ward assignment were found to be of no significant difference to organizational commitment, but they did have a significant difference to nationality. Age differed significantly with individualized consideration, contingent reward, and laissez-faire leadership. Years of experience was found to be significantly different with contingent reward and laissez-faire leadership. Concerning nationality, a significant difference was found with idealized influence and inspirational motivation. With the ward assignment, a significant difference was found with individual consideration and laissez-faire leadership.
Associação de doença de Hirschsprung e brida de Ladd em um neonato
Authors: Picoli Rúbria Liziero , Campos Victor de Amorim , Gusmão Juliane Feitosa de Bezerra , Domingues Alessandra dos Santos
Published: September 2022

Introdução: A doença de Hirschsprung, também conhecida como megacólon congênito, apresenta alterações na inervação entérica distal. Durante o período neonatal, apresenta-se através da tríade clássica de vômitos, distensão abdominal e atraso na eliminação meconial. Objetivo: Descrever quadro clínico de paciente do sexo masculino diagnosticado com megacólon congênito, brida congênita e má rotação intestinal. Comentário: Embora seja uma doença congênita, nem sempre o diagnóstico ocorre durante o período neonatal, devendo ser cogitada no raciocínio diagnóstico de pacientes mais velhos com história de constipação refratária ao tratamento. Aproximadamente 20% das crianças tem evolução pós-cirúrgica ruim, sendo a constipação a queixa mais comum, tendendo a melhorar com o passar dos anos. Não foi encontrado na literatura a associação de bridas congênitas, má rotação intestinal e doença de Hirschsprung.
Validação de conteúdo e análise da adesão ao uso da cartilha “Orientações para a Manutenção da Qualidade de Vida – Espinha Bífida” em crianças e adolescentes deambuladores e não deambuladores com espinha bífida
Authors: Franco Camila Scarpino Barboza , Martins Emanuela Juvenal , Davoli Gabriela Barroso de Queiroz , Petian-Alonso Danila Cristina , Pereira Karen Vitoria Recchia , Mattiello-Sverzut Ana Claudia
Published: September 2022

Objetivo: A partir da produção de uma cartilha de exercícios domiciliares “Orientações para a Manutenção da Qualidade de Vida – Espinha Bífida”, objetivou-se validar o conteúdo, realizar a avaliação do material (cartilha) pelos cuidadores, e analisar a adesão ao uso da cartilha. Métodos: Para validação do conteúdo, 8 juízes especialistas avaliaram a cartilha por meio de um questionário adaptado e foi estabelecido o índice de validade de conteúdo (IVC) para cada aspecto abordado. Na avaliação do material realizada pelos cuidadores e na análise da adesão ao uso da cartilha, participaram 10 crianças e adolescentes com espinha bífida e seus cuidadores. O pesquisador leu a cartilha e treinou os exercícios na presença do paciente e de seu cuidador, indicando como deveriam ser realizados em domicílio. Após a entrega foi marcado um retorno presencial, em 15 dias, para que os cuidadores pudessem relatar sobre a avaliação do material assim como, descrever sobre a adesão desses participantes ao uso da cartilha. Por fim, foi agendado um segundo encontro - follow-up – para analisar a adesão em longo prazo. Resultados: Dos 27 aspectos abordados na validação do conteúdo, 24 destes receberam pontuação acima do índice aceitável (IVC = 1,00). A maior parte dos cuidadores responderam “concordo” ou “concordo totalmente” para todos os itens analisados referente à avaliação do material. Em curto prazo foi observada uma taxa de adesão de 25% dos participantes e em longo prazo de 12,5%. Conclusão: A cartilha “Orientações para a Manutenção da Qualidade de Vida – Espinha Bífida” por apresentar clareza dos itens apresentados, facilidade de leitura e adequada compreensão, segundo a avaliação dos juízes especialistas e dos cuidadores, mostrou ser um ótimo recurso para incrementar o tratamento fisioterapêutico de criança e adolescentes com espinha bífida, porém evidenciou uma moderada/baixa adesão por parte dos participantes.
Pensar a cor: caminhos na pesquisa cromática
Authors: Cavalcanti Juliana Garzillo
Published: September 2022

Resultante de seminários realizados pelo Grupo de Pesquisas Cromáticas do Departamento de Artes Plásticas da USP, desde 2009, o livro Reflexões sobre a cor foi publicado em 2021. É formado por ensaios de diferentes autores que problematizam o fenômeno cromático articulando diferentes áreas do conhecimento, passando por abordagens dos aspectos físicos, químicos e fisiológicos da experiência com a cor, da arte moderna à contemporânea. Singular ao reunir pesquisas que destacam questões cromáticas, a publicação é uma incomum e instigante estruturação de estudos que privilegiam a cor.