bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Big Data Technology on Phrase and Syntactic Coherence in English Translation
Authors: Li Xiaoyu
Published: June 2022

In the era of big data, data are ubiquitous. The proliferation of data leads to a surge in the demand for communication, which in turn promotes a surge in the demand for language services. Big data technology is a comprehensive technology, and its important feature is a more active technological factor, where technological development and technological innovation dominate, which will have an incalculable impact on the development of the translation industry. In the language service industry, much information that used to be difficult to quantify will be transformed into data for storage and processing, and a large number of complex items to be translated will gradually surface. Therefore, it is the general trend of the translation industry to stimulate and utilize the unexplored values hidden inside the data and develop the blue ocean of the language service industry. Traditional translation researchers are confined to the study of language and text and are not fully aware of it. The huge role played by translation technology in today’s business environment, and the traditional translation theory can hardly describe and explain the new modern translation technology phenomenon and translation technology activities. Whether we are ready for it or not, the rapid development of translation technology in the era of big data will lead to significant changes in translation inquiry and translation teaching on a global scale. The integration and development of translation with cloud computing, big data, the Internet, and artificial intelligence are driving a series of innovations in the traditional translation model. The development of translation technologies and tools is breaking new ground, rapidly expanding into all aspects of the translation industry and triggering disruptive changes in the language service industry.
Investigation of Non-Newtonian Characteristics of Water Flow in Micro-/Nanochannels and Tight Reservoirs
Authors: Ding Heying , Song Fuquan , Hu Xiao , Sun Yeheng , Zhu Weiyao
Published: June 2022

The characteristic scale of pore flow in tight reservoirs is generally in the range of 0.1 μm to 1 μm, which shows the obvious micro- and nanoscale effect. The traditional oil and gas seepage theory cannot accurately describe the flow law of liquid in the micro- and nanopores. The determination of seepage characteristics is crucial to the development, layout, and prediction of tight oil. Therefore, a non-Newtonian fluid model is established to discuss the flow characteristics of confined liquid in the heterogeneous pores of microtubules and reveal the nonlinear seepage law of water in micro- and nanochannels and tight reservoirs. Based on the characteristics of non-Newtonian fluid of confined fluid in micro- and nanospace, the flow model of non-Newtonian fluid under the action of shear stress was deduced. The flow velocity variation of liquid in micro- and nanochannel and dense core was analyzed, and the flow rate of water was less than that predicted by macro theory. According to the flow experiment of water in micro- and nanochannels, the flow model of power-law non-Newtonian fluid was verified. At the same time, through the flow experiment of water in the dense rock core, the non-Newtonian model was used for nonlinear fitting, and the non-Newtonian power-law parameters and average pore radius were obtained, which verified the effectiveness of the non-Newtonian flow model.
Experimental Investigation on Mechanical Properties of Glass Fiber Hybridized Natural Fiber Reinforced Penta-Layered Hybrid Polymer Composite
Authors: Karthick Manjunathan , Meikandan M. , Kaliappan S. , Karthick M. , Sekar S. , Patil Pravin P. , Raja S. , Natrayan L. , Paramasivam Prabhu
Published: June 2022

This article investigates and presents the upshots observed in the brook of hybrid composites especially, the current investigation focuses on the impact of fiber composition, sequence, and stacking pattern on composite mechanical Features. Five varied stacking sequences of hybrid composites encompassing laminates are used to create four classes of fiber with jute/bamboo/glass by utilizing a conscientious hand lay-up process with glass fiber-laced mats as their peripheral layer. For examination, fiber sequences are arranged in the combination of GJBJG, GBJBG, GJGJG, and GBGBG, where G, J, and B refer to glass fiber, jute fiber, and bamboo fiber, respectively. The position of fiber in the core layer is kept in a perpendicular direction with respect to adjacent piles which might be jute or bamboo fiber and the best position of fiber is considered due to the stacking order. Stress and strain were linear in the load versus deflection curves, and all of the samples failed quickly, it is observed that the sample containing a higher or considerable number of bamboo fiber layers exhibited increased strain and toughness. In comparison to other samples, embolism of glass fiber as the main and covering layer expressed a higher impact on the mechanical properties of the composites is observed in this investigation. The shattered sample morphology demonstrated that the matrix and reinforcements were compatible.
Synthesis, Characterization, PXRD Studies, Theoretical Calculation, and Antitumor Potency Studies of a Novel N,O‐Multidentate Chelating Ligand and Its Zr(IV), V(IV), Ru(III), and Cd(II) Complexes
Authors: Elganzory Hussein H. , Hassan Safaa S. , Aly Samar A. , Abdalla Ehab M.
Published: June 2022

A new series of Zr(IV), V(IV), Ru(III), and Cd(II) complexes with the ligand N‐((5‐hydroxy‐4‐oxo‐4H‐pyran‐3‐yl)methylene)‐2‐(p‐tolylamino)acetohydrazide (H2L) have been prepared. FT‐IR, 1H‐NMR, electronic spectra, powder X‐ray, and thermal behavior methods were applied to elucidate the structural composition of new compounds. Geometry optimization for all synthesized compounds was conducted using the Gaussian09 program via the DFT method, to obtain optimal structures and essential parameters. Moreover, the antibacterial and antitumor activity of the ligand and its complexes were studied, where the Cd(II) complex acquires probably the best antibacterial activity followed by the Ru(III) complex towards bacterial species than others when using ampicillin and gentamicin were used as standard drugs. The complexes exhibited interestingly antitumor potential against the MCF‐7 breast cancer cell line. The cytotoxicity of the new complexes has been arranged to follow the order: Ru(III) complex > Cd(II) complex > Zr(IV) complex > V(IV) complex > ligand. Molecular docking was performed on the active site of ribosyltransferase and obtained good results. Structure‐based molecular docking is used to identify a potential therapeutic inhibitor for NUDT5.
Construction of 3D Model of College Public Physical Education Class Based on Text Mining Model
Authors: Chen Cheng , Gao Xiang
Published: June 2022

The responsibility and mission of higher education is to cultivate high-level talents needed for the development of society. The contemporary society has undergone great changes. The modern society characterized by the globalization of the knowledge economy has put forward social demands for higher education, and the development of science and technology with information and biotechnology as the core has put forward social demands on higher public physical education. Higher public physical education should creatively set new functions according to the development needs of the globalization of the knowledge economy and must cultivate people around the world, so that college courses can be adapted to the development needs of information technology, so as to meet the challenges of new technological revolutions. This research uses the literature research method, information research method, and observation method, uses text mining technology, and takes some ordinary colleges and universities as the survey objects. There are many problems in public physical teaching, and the corresponding feasible countermeasures and suggestions are put forward.
The Responses to CGRP in the Territory of the Posterior Cerebral Artery in Migraine
Authors: Visočnik Darja , Zaletel Marjan , Zupan Matija , Žvan Bojana
Published: June 2022

Calcitonin gene‐related peptide (CGRP) is important in trigeminovascular (TMV) sensitization with neurogenic inflammation which might be involved in CGRP‐induced headache (CGRP‐IH). Distribution of white matter lesions, migraine aura, and functional neuroimaging indicate that posterior circulation is especially exposed to TMV sensitization. The transcranial Doppler (TCD) is able to detect changes in the posterior cerebral artery (PCA) during CGRP stimulation. Thus, we studied CGRP‐induced hemodynamic changes in PCA and frequency of CGRP‐IH. Twenty healthy subjects and 20 patients with migraine participated in our study. TCD was used to monitor mean arterial velocity in posterior cerebral artery (vmPCA). Simultaneously, end‐tidal carbon dioxide (Et‐CO2), mean arterial pressure (MAP), and heart rate (HR) were measured. During the experiment, we monitored the frequency of CGRP‐IH. We determined the values of vmPCA, Et‐CO2, MAP, and HR and calculate the response of vmPCA, Et‐CO2, MAP, and HR to CGRP. To test the differences and relationships, statistical methods were applied using SSPS. We found significant decrease in vmPCA in migraine and control groups and found the vmPCA response to be significantly lower in migraine (p = 0.018). Et‐CO2 decreases in both groups, and it is significantly lower in migraine (p < 0.001). MAP is significantly higher in migraine (p = 0.001), while HR is not significantly higher in migraine (p = 0.570). CGRP‐IH is significantly associated with vmPCA responses (p = 0.003) and migraine (p < 0.001). We concluded that hemodynamic changes in PCA are significantly related to CGRP‐IH. The TMV sensitization might be pronounced in posterior circulation explaining clinical and morphologic issues in migraine.
Prediction of Prognosis in Patients with Hepatocellular Carcinoma Based on Molecular Subtypes of Immune Genes
Authors: Du Suming , Xu Jinhui , Shen Jiajia , Zhang Xiaojin , Hu Huanzhang , Huang Xinghua
Published: June 2022

For those patients with hepatocellular carcinoma (HCC), it is really a heavy burden. Herein, the immune genes of HCC were analyzed in groups to determine prognostic biomarkers related to immune genes in HCC. The mRNA data, clinical data in TCGA-LIHC dataset, and immune gene in the ImmPort database were collected for the combining usage with

K

-means concordance clustering to cluster HCC patients according to the immune gene matrix. Based on ssGSEA analysis result, HCC patients were sorted into high- and low-immune subtypes, and survival curve presented that patients in high-immune subtypes had a better prognosis. Subsequently, differential expression analysis was performed to obtain immune-related differentially expressed genes (IRGs). Cox and lasso analyses were performed for obtaining five optimal immune genes related to prognosis, and a risk assessment model was then established. Patient samples in the training and validation sets were, respectively, divided into high- and low-risk groups.

K

-

M

survival curves presented a better prognosis of patients in the low-risk group than in the high-risk group. The ROC curve indicated that this model was finely used for the prediction of prognosis. In addition, immune infiltration assessment revealed that NR0B1 and FGF9 had potential to impact the tumor immune microenvironment. Finally, using qRT-PCR and transwell assays, it was demonstrated that the macrophage chemotaxis was enhanced when NR0B1 and FGF9 were highly expressed in HCC cells. In general, a 5-gene prognostic risk assessment model was constructed based on immune genes and bioinformatics analysis methods, which provides some reference for the prognosis of HCC as well as immunotherapy.
Application of 3D Animation Cluster System Based on Artificial Intelligence and Machine Learning
Authors: Lv You
Published: June 2022

In many living phenomena, the behavior of social animals (such as ants, fish stocks, and birds) has attracted great attention, and many theories and models have emerged to simulate the behavior of biological communities. These studies are important in theory and practice and have wide application potential in optimization methods and product design, which leads to the so-called cluster intelligence. Development of the 3D animation system can be closely combined with cluster intelligence, and the full application of cluster intelligence is conducive to continuously improve the stability of animation system design, for animation system design to bring continuous design inspiration. The purpose of the development platform is to promote the development of enterprise projects, record each stage of the animation process in 3D, form a complete industrial chain, ensure the traceability and resilience of the whole process, and provide a comprehensive and effective solution for 3D animation production.
Hydraulic Performance of Pervious Concrete Based on Small Size Aggregates
Authors: Mulu Arega , Jacob Preeti , Dwarakish G. S.
Published: June 2022

The paper aims to study the impact of clogging on pervious concrete mixes and explore a simple method to calculate permeability and clogging using the falling head method in a fabricated unit. The materials used are cementitious materials and aggregates, along with superplasticizers. The cementitious materials used are OPC Grade 53 cement and micro Ground Granulated Blast Furnace Slag (μGGBS). Two separate narrow aggregate gradations are used: 2.36–4.75 mm and 4.75–6.30 mm. The water-binder ratio is taken as 0.25, and the aggregate-binder ratio is taken as 3.33. The compressive strength, permeability, and clogging potential of pervious concrete are calculated. The average permeability for 2.36–4.75 mm and 4.75–6.3 mm is 4.78 mm/s and 8.16 m/s, respectively. The clogging materials used are clay and sand with a concentration of 5 g/l. The introduction of clay slurry reduces the permeability by 69.8% and 74.9%, respectively, and with sand, it decreases by 74.7% and 71.7%, respectively, in its first cycle. The permeability response for such small aggregates is different from the standard coarse aggregates. The paper compares the study’s compressive strength, porosity, and permeability with the existing literature. It concludes that the maximum clogging occurs when the clogging material is introduced to the specimen for the first time. The degradation of permeability depends on the clogging particle’s particulate size and the concrete matrix’s pore size. The smaller aggregates in pervious concrete are not recommended in areas of high siltation.
Cerebral Blood Flow Velocity Modulation and Clinical Efficacy of Acupuncture for Posterior Circulation Infarction Vertigo: A Systematic Review and Meta-Analysis
Authors: Li Boxuan , Zhao Qi , Du Yuzheng , Li Xiayu , Li Zefang , Meng Xianggang , Li Chen , Meng Zhihong , Chen Junjie , Liu Chaoda , Cao Beidi , Chi Shihao
Published: June 2022

Background. Vertigo is a cardinal symptom of posterior circulation infarction (POCI). Acupuncture is demonstrated to have a beneficial effect on posterior circulation infarction vertigo (PCIV). However, the mechanism of acupuncture therapy is not clarified. This study aims to assess the cerebral blood flow velocity modulation and clinical efficacy of acupuncture for PCIV patients. Methods. We conducted this systematic review for clinical randomized controlled trials (RCTs) regarding acupuncture on PCIV. The study duration was from September 2020 to September 2021. We searched the PubMed, EMBASE, Cochrane Library, Web of Science, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP. The publication date was set from inception to August 31, 2020. Based on the inclusion and exclusion criteria, two researchers independently screened literature and extracted data including basic study information, intervention details, outcome details, and adverse events. Outcome measures included the blood flow velocities of vertebrobasilar arteries and the Clinical Effective Rate of posterior circulation infarction vertigo. Pooled data were presented as standardized mean differences (SMDs) and relative risks (RR), with 95% confidence intervals (CIs). The meta-analysis was conducted using Review Manager software version 5.3.0. Results. A total of 20 eligible RCTs (1541 participants) were included in this review, which compared acupuncture therapy (1 RCT) or acupuncture combined with pharmaceutical therapy (19 RCTs) to pharmaceutical therapy in patients with posterior circulation infarction vertigo. 7 studies assessed the blood flow velocities of the basilar artery examined by Transcranial Doppler (TCD), 8 studies assessed the bilateral vertebral arteries, and 13 studies evaluated the Clinical Effective Rate of posterior circulation infarction vertigo. Meta-analysis results showed that blood flow velocities of the basilar artery (SMD = 0.58, 95% CI = 0.40–0.76;

P
<
0.05

), left vertebral artery (SMD = 0.48, 95% CI = 0.22–0.73;

P
<
0.05

), and right vertebral artery (SMD = 0.44, 95% CI = 0.19–0.69;

P
<
0.05

) were significantly higher in the acupuncture group compared with the control group. Clinical Effective Rate (RR = 1.22, 95% CI = 1.15–1.29;

P
 
=
 
0.792

) was significantly better in the acupuncture group compared with the control group. Conclusions. This study shows that acupuncture therapy is useful in improving the blood flow velocity of vertebrobasilar arteries and Clinical Effective Rate in patients with posterior circulation infarction vertigo. However, double-blind, sham-controlled trials with large sample sizes are required to support our conclusions.
Effect of Vaginoscopy versus Conventional Hysteroscopy on Pain, Complications, and Patient Satisfaction in Patients with Endometrial Polyps
Authors: Liao Liyun , Peng Yangying , Lu Jianshuo , Wang Zhiying , Xu Jinyue , Chen Xuefeng , Chen HaiYing , Zhang Xinmei
Published: June 2022

Background. Hysteroscopy is considered the gold standard for diagnosing intrauterine pathology. Traditional hysteroscopy requires the placement of a vaginal speculum and cervical forceps, which are large in diameter, causing discomfort and pain to the patient and even causing vagal reflexes. Aims. To investigate the impact and clinical value of vaginoscopy versus conventional hysteroscopy on pain, complications, and patient satisfaction in patients with endometrial polyps and to analyse the advantages of clinical application of vaginoscopy examination. Materials and Methods. One hundred and twenty-five patients with endometrial polyps treated in our hospital from May 2021 to December 2021 were selected for this study and divided into 52 cases in the hysteroscopy group and 73 cases in the vaginoscopy group according to the random remainder grouping method. Conventional hysteroscopy was used, and in the vaginoscopy group, vaginoscopy was performed. The impact of pain, complications, patient satisfaction, and clinical value of the two groups was observed and compared. Results. The time taken for the examination varied between the different hysteroscopic methods, with the hysteroscopy group taking the longest time compared to the vaginoscopy group (

P
<
0.01

). The VAS scores immediately after the examination and 30 minutes after the examination were both significantly higher in the hysteroscopy group than in the vaginoscopy group (

P
<
0.01

). The difference in NPY, PGE2, and 5-HT after the pain-causing mediator intervention was significantly better in the vaginoscopy group than in the hysteroscopy group. The difference in the incidence of complications such as abortion syndrome, cervical laceration, uterine perforation, and haemorrhage after treatment was significantly lower in the vaginoscopy group than in the hysteroscopy group. In the vaginoscopy group, the satisfaction rate was 91% significantly higher than that of the hysteroscopy group (

P
<
0.05

). Conclusion. The vaginoscopy technique shortens the examination and treatment time, reduces patient pain, improves patient compliance, reduces the use of preintervention drugs and anaesthetics, and reduces complications.
Strategies of Preconditioner Updates for Sequences of Linear Systems Associated with the Neutron Diffusion
Authors: Carreño A. , Bergamaschi L. , Martínez A. , Ginestar D. , Vidal-Ferràndiz A. , Verdú G.
Published: June 2022

The time-dependent neutron diffusion equation approximates the neutronic power evolution inside a nuclear reactor core. Applying a Galerkin finite element method for the spatial discretization of these equations leads to a stiff semi-discrete system of ordinary differential equations. For time discretization, an implicit scheme is used, which implies solving a large and sparse linear system of equations for each time step. The GMRES method is used to solve these systems because of its fast convergence when a suitable preconditioner is provided. This work explores several matrix-free strategies based on different updated preconditioners, which are constructed by low-rank updates of a given initial preconditioner. They are two tuned preconditioners based on the bad and good Broyden’s methods, initially developed for nonlinear equations and optimization problems, and spectral preconditioners. The efficiency of the resulting preconditioners under study is closely related to the selection of the subspace used to construct the update. Our numerical results show the effectiveness of these methodologies in terms of CPU time and storage for different nuclear benchmark transients, even if the initial preconditioner is not good enough.
Correlation Analysis of Network Big Data and Film Time-Series Data Based on Machine Learning Algorithm
Authors: Li Na , Xia Langbo
Published: June 2022

To expand the application of machine learning in movie data, in order to explore the correlation between network big data and film time-series data, based on the machine learning algorithm, the correlation and multifractal characteristics of happiness index (HI) and film box office (BO) were studied and described by introducing multifractal crossover method. On this basis, some indicators are introduced to optimize the neural network model so that the optimization model can describe and predict the box office and other related information well. The results show that the critical values of the happiness index and box office show a linear change trend with the increase of freedom, and the corresponding change curves of the happiness index and box office show obvious nonlinear characteristics, which can be divided into slow increase stage, steady increase stage, and approximately gentle stage. With the increase of iteration parameter q value, the change trend of the long-term and short-term curves of the generalized Hurst function is basically the same, and the difference between the two is getting smaller and smaller, while the difference between the two curves is getting bigger and bigger with the increase of q value of Renyi function. The changing trend of the dynamic Hurst index in the sliding window period all shows that it first rises rapidly to a certain value, then fluctuates rapidly with the increase of time, then drops rapidly to a constant value, and finally continues to show repeated small range fluctuation. Under the influence of time-series parameter α, the original sequence changes the most, the replacement sequence changes the medium, and the corresponding rearrangement sequence changes the least. The overall distribution of box office prediction data conforms to the characteristics of linear variation. The prediction index of the optimized HI-LSTM (Happiness Index-Long term short term memory neural network) model is higher in the box office, indicating that the model has better performance in describing and predicting the box office. This study can provide a theoretical basis for the correlation study of network big data and film data.
Simulation of Subject Coordination for a Smart Campus Based on Complex Network and Evolutionary Game Theory
Authors: Guo Shaoyong , Pang Ting
Published: June 2022

The construction of smart campuses can help realize the modernization of higher education. However, the subjects and mechanisms are easily ignored in the construction of smart campuses in colleges and universities. The purpose of this paper is to construct an evolutionary game model based on the complex network structure characteristics of smart campus subjects and the dynamic relationship of collaborative games. Taking the scale-free network as the carrier, the decision-making behavior among subjects is explained. Then, the importance of subject coordination and the effectiveness of the mechanisms of leadership organization, special funds, assessment rewards, and punishments are analyzed through the simulation platform, i.e., Simpy. The results show that (1) moderate subject collaboration helps to avoid the phenomenon of getting something for nothing, (2) appropriate leadership and organization mechanisms can promote the construction process, (3) special fund mechanisms can ensure sustainable development, and (4) assessment reward and punishment mechanisms can increase the popularity of achievements. The proposed method enriches relevant theories of smart campus research and provides a reference for decision-making in smart campus construction.
Pan‐Cancer Analysis Predicts the Immunological and Prognostic Role of ZC3H12C in KIRC
Authors: Yue Yanping , Wu Yumeng , Zhao Dakun , Wu Biao , Wu Xuming , Liu Jibin , Yang Lei , Shen Aiguo
Published: June 2022

ZC3H12C is an important member of the CCCH‐zinc finger protein family and is mainly involved in host immune and inflammatory diseases. However, its abnormal expression and prognostic value in cancer have not yet been established. Through comparative analysis of the Cancer Genome Atlas (TCGA) database, we found that ZC3H12C is the most relevant to the prognosis, grade, and stage of renal clear cell carcinoma (ccRCC) across 33 cancers. With the help of patient transcription and clinical data from the TCGA and GEO (GSE53757, GSE36895) databases, we determined that in the immune environment of patients with ccRCC, ZC3H12C was clearly negatively correlated with Tregs and was significantly positively correlated with monocytes. In addition, protein phosphorylation and DNA methylation analysis also showed that ZC3H12C negatively regulates the role of cancer in ccRCC. Our research may provide new insights into ccRCC immunotherapy and bring forth novel biomarkers and therapeutic targets.
Device-Free Human Activity Recognition Based on Dual-Channel Transformer Using WiFi Signals
Authors: Gu Zhihao , He Taiwei , Wang Ziqi , Xu Yuedong
Published: June 2022

Human activity recognition plays a significant role in smart building applications, healthcare services, and security monitoring. In particular, WiFi-based indoor wireless sensing system becomes increasingly popular due to its noninvasiveness. This work presents the design and implementation of DARMS, a Device-free human Activity Recognition and Monitoring System that can be deployed with low-cost commodity WiFi devices. DARMS is a passive wireless sensing system, and it can accurately distinguish various daily activities without the user wearing any sensor. DARMS makes two key technical contributions. First, an effective signal processing methodology is designed to extract the CSI features both in the time domain and frequency domain. Second, a dual-channel neural network that combines temporal and frequency information is proposed to achieve fine-grained activity recognition. In our experiments, DARMS shows outstanding performance in different indoor environments, with an average accuracy of 96.9% for fall detection and 93.3% for human activity recognition.
A Comparative Study of Diospyros malabarica (Gaub) Extracts in Various Polarity‐Dependent Solvents for Evaluation of Phytoconstituents and Biological Activities
Authors: Zreen Zohra , Hameed Amjad , Kiran Shumaila , Farooq Tahir , Zaroog Mohammed Suleiman
Published: June 2022

Keeping in mind the ascribed repute of Diospyros malabarica (D. malabarica), this investigation was commenced to assess the effect of diverse solvents on extraction yields, phytochemical components and antioxidant capability, and in vitro biological activities of D. malabarica for pharmaceutically active constituents to combat various infections. To screen phytochemicals both qualitatively (flavonoids, terpenoid, saponins, tannins) and quantitatively like total phenolic and flavonoid contents, Diospyros malabarica parts include the following: root, leaves, bark, stem, ripe, and unripe fruit were sequentially extracted with organic solvents such as petroleum ether, dichloromethane, ethyl acetate, ethanol, methanol, and water in increasing order of polarity from less polar to more polar solvents. Furthermore, biological activities such as antibacterial, antifungal, anticancer, antidiabetic, and anti‐inflammatory were explored. The results revealed that all the tested solvents displayed a vital role in the extraction yield, the content of phytochemicals, and the studied biological activities. Methanol was found as the best solvent followed by the ethanol for the extraction, representing the highest extraction yield (18.3%), rich diversity of phytochemicals, and the highest total phenolic contents (602 ± 0.001 μg EAG/mg of extract) and total flavonoid contents (455 ± 0.6 μg EQ/mg of extract) in bark extract. Furthermore, methanol bark extract showed high in vitro antibacterial activity (30.25 mm ± 0.9), antifungal activity (18.25 mm ± 0.2), anticancer activity (48%), antidiabetic activity (68%) and anti‐inflammatory activity (62%) followed by ethanol amongst other extracts of D. malabarica. Accordingly, methanol might be as an ideal solvent to get maximum content of phytochemicals, promising antioxidants, and in vitro biological activities from bark extract amongst other extracts of D. malabarica compared to pet ether, ethyl acetate, and dichloromethane and may act as free radical rummager because phytochemical constituents exhibit antioxidant capability. Our findings suggest that phytochemical compounds (flavonoids, tannins, phenols, saponins, and terpenoids) found in the bark extract of D. malabarica may be attributed to evaluate potent anti‐inflammatory, anticancer, antidiabetic, antibacterial, and antifungal activities.
Alienation Control Technology of Information Pushed by Intelligent Algorithms in Media Communication
Authors: Cheng Yang , Cheng Ming
Published: June 2022

“Information alienation” is a concept formed by combining the idea of “alienation” in philosophy with the characteristics of information itself. Information is a universal property of matter and an objectively existing form of material movement. The purpose of this paper is to study and analyze the alienation technology control of push information based on intelligent algorithms and describe the information alienation. This paper puts forward the problem of pushing information, which is based on intelligent algorithm, then elaborates around the concept of intelligent algorithm and related algorithms, and designs and analyzes the control of media information alienation. The experimental results show that, in the questionnaire survey, 72.34% of the people who very frequently swipe unfriendly information account for a very large proportion. People will always swipe it in various software applications, which is unavoidable. How to control the problem of information alienation needs to be controlled from the user level, the design media level, and the government level.
Prescribed Performance Guidance Law with Multiple Constraints
Authors: Li Xu , Ye Jikun , Zhou Chijun , Tang Xiao
Published: June 2022

In the terminal guidance phase of intercepting aerial target, a guidance law, satisfying impact angle constraint, acceleration constraint, and second-order dynamic characteristic of interceptor autopilot, is designed based on the prescribed performance control and dynamic surface control method. Firstly, a two-dimensional plane interception model considering the dynamic characteristics of autopilot and input constraints is established. Furthermore, for the nonconstrained system, based on the dynamic surface control, the prescribed performance reaching law is used to ensure that the line-of-sight angle and the line-of-sight angle rate can converge to the prescribed range in finite time. At the same time, an adaptive law is used to estimate the uncertainty caused by target maneuver and autopilot. Then, aiming at the acceleration constraint, an auxiliary system is established to convert the restricted system into a nonrestricted system. The finite-time convergence of the terminal line-of-sight tracking error, the line-of-sight rate, and the uniform ultimate boundedness of the system are rigorously proved by Lyapunov stability theory. Finally, the simulation results show that the proposed guidance law can make the interceptor have better interception performance when attacking targets with different maneuvering forms.
Effects of Afatinib on Development of Non-Small-Cell Lung Cancer by Regulating Activity of Wnt/β-Catenin Signaling Pathway
Authors: Wu Yue , Zhang Jiajing , Yun Changping , Dong Chenchen , Tian Ye
Published: June 2022

Lung cancer has been one of the deadliest cancers in the world. Afatinib is an ErbB family irreversible blocker that was authorized by the FDA and EMA in 2013 for the treatment of advanced EGFR mutation-positive NSCLC. Therefore, we aim to discover the impact of Afatinib on the development of non-small-cell lung cancer (NSCLC) via modulating the Wnt/β-catenin signaling pathway. The objective remission rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS) in 22 patients with clinical NSCLC were analyzed as follow-up targets after Afatinib therapy. The differences between the effects of Afatinib treatment and DDP+PEM treatment for conventional chemotherapy were used to measure NSCLC cell proliferation by CCK-8 assay; then those on NSCLC apoptosis were measured by flow cytometry. Patients who received Afatinib had better ORR, DCR, PFS, and OS than those in the conventional chemotherapy group. Meanwhile, CCK-8 assay shows that the number of colony formation of NSCLC cells after Afatinib treatment was less than that in the DDP+PEM group. And NSCLC apoptosis was higher than that in the DDP+PEM group. Phenomenologically, experimental results show that Afatinib can affect the behaviors of NSCLC cells. After treating NSCLC cells with Afatinib, the protein expressions of three serum tumor markers (CEA, CA125, and CY-FRA21-1) were detected by Western blotting, with the findings indicating that the protein expressions in NSCLC cells treated with Afatinib were lower than those of the DDP+PEM group, which indicates that Afatinib treatment can reduce the expressions of tumor markers, and inhibit the development of tumors. Afatinib can affect the progression of NSCLC by modulating the Wnt/β-catenin signaling pathway’s activity as a new potential therapeutic drug for NSCLC.
Evaluation of Posturometric Parameters in Children and Youth Who Practice Karate: Prospective Cross‐Sectional Study
Authors: Brzęk Anna , Knapik Andrzej , Brzęk Bogusław , Niemiec Paweł , Przygodzki Piotr , Plinta Ryszard , Szyluk Karol
Published: June 2022

Reduced physical activity or inappropriate training can cause the development of postural abnormalities. The aim of the present study was to determine the relationship between intensive, controlled physical activity, such as karate, and postural parameters. The study group consisted of 57 young karate competitors aged 9–12 years. The control group included 76 healthy, active children in similar age. The children’s posture, activity level, and time in front of electronic devices were evaluated. The following body posture assessments were carried out: Adams’ test, evaluation of the plumb line, evaluation of the kyphosis, and lordosis angles using a digital inclinometer and shoulder blade position measurements using a pediscoliometer. In the majority of cases, despite evidence of an increase or decrease in the values of the plumb line and scapulae level, the results were still within the normal ranges. In 71.93% of the examined karate‐training children, a decrease in torso rotation was noted. The study revealed a visible difference in postural muscle strength by the Mathiass screening test (P < 0.00001). The children in the control group spent more time in front electronic devices than the karate‐training children did (P < 0.007). Postural defects regression was more often observed in the study group than in the controls (P < 10−8). The frequency of postural defects stabilization was also significantly higher in the study group than in the control children (P = 0.001). Conversely, postural defects progression was significantly more frequent in the control group than in young karate competitors (P < 10−8). These differences remained significant in subgroups of girls and boys. Physical activity performed regularly and under the direction of a professional trainer can prevent postural disorders.
Ubenimex Combined with Pemetrexed Upregulates SOCS1 to Inhibit Lung Adenocarcinoma Progression via the JAK2-STAT3 Signaling Pathway
Authors: Chen Quan , Wu Bingbing , Ge Pengfei , Zhang Peng , Chen Xia
Published: June 2022

To study the effects of ubenimex (UBE) combined with pemetrexed (PEM) on lung adenocarcinoma cell behavior and its molecular mechanism, the tissue samples from lung adenocarcinoma patients who received PEM chemotherapy, those with PEM combined with UBE chemotherapy, and healthy volunteers were retrieved and analyzed. The expression levels of the suppressor of cytokine signaling 1 (SOCS1) in the human lung adenocarcinoma cancer cell lines A549 and PC-9 and tissues were detected by qRT-PCR. MTT assay was performed for cell proliferation. Cell apoptosis was detected by flow cytometry. Cell invasion ability was assessed using the Transwell assay. The expression levels of the JAK2/STAT3 signaling pathway proteins and apoptosis-related proteins were detected by Western blot. The antitumor effect of PEM combined with UBE was tested in nude mice using the tumor formation assay. Our results showed that UBE treatment, alone or combined with PEM, inhibited lung adenocarcinoma cell migration, invasion, and proliferation; promoted apoptosis; significantly increased the G0/G1-phase cell ratio; reduced the S-phase cell ratio; and inhibited the in vivo growth of tumor cells. UBE alone or in combination with PEM also inhibited the JAK2/STAT3 signaling pathway in lung adenocarcinoma cells. In addition, UBE combined with PEM therapy was associated with increased SOCS1 expression in patients’ serum and knocking down SOCS1 reversed the antitumor effects of UBE and PEM. Overall, combination therapy with UBE and PEM could inhibit the JAK2-STAT3 signaling pathway by upregulating SOCS1 expression to hinder the progression of lung adenocarcinoma cells.
Exploration of the Cultivation Path of Medical Students’ Politico-Ideological and Humanistic Quality Based on Deep Learning
Authors: Xue Sainan , Li Shuang
Published: June 2022

Medical talent development has its own characteristics, which means that political-ideological education in medical colleges must establish a development model that reflects these characteristics. In a methodological sense, research on the development of politico-ideological education in medical colleges should adhere to the coordinated development of politico-ideological education in medical colleges, which follows the requirements of the current situation and the three laws of politico-ideological education in medical colleges, namely, the requirements of the law of politico-ideological education, the law of teaching and educating people, and the law of study. In practice, in view of the practical contradictions in the politico-ideological work of medical colleges and universities at the present stage, explore the collaborative education mechanism of medical colleges and universities, constantly enrich the ways and methods of politico-ideological work in medical colleges and universities, improve the affinity, pertinence, and effectiveness of politico-ideological education, and constantly open up a new situation of politico-ideological education in colleges and universities. This work offers a path exploration approach based on deep learning for cultivating the political-ideological, and humanistic qualities of medical students’ curriculum, and the model’s performance is proven by simulation trials.
Kupffer Phase Radiomics Signature in Sonazoid-Enhanced Ultrasound is an Independent and Effective Predictor of the Pathologic Grade of Hepatocellular Carcinoma
Authors: Li Chen , Xu Jingyong , Liu Yuan , Wu Mingxiao , Dai Weide , Song Jinghai , Wang Hanzhang
Published: June 2022

We conduct this study to investigate the value of Kupffer phase radiomics signature of Sonazoid-enhanced ultrasound images (SEUS) for the preoperative prediction of hepatocellular carcinoma (HCC) grade. From November 2019 to October 2021, 68 pathologically confirmed HCC nodules from 54 patients were included. Quantitative radiomic features were extracted from grayscale images and arterial and Kupffer phases of SEUS of HCC lesions. Univariate logistic regression and the maximum relevance minimum redundancy (MRMR) method were applied to select radiomic features best corresponding to pathological results. Prediction radiomic signature was calculated using each of the image types. A predictive model was validated using internal leave-one-out cross validation (LOOCV). For discrimination between poorly differentiated HCC (p-HCC) and well-differentiated HCC/moderately differentiated HCC (w/m-HCC), the Kupffer phase radiomic score (KPRS) achieved an excellent area under the curve (AUC = 0.937), significantly higher than the other two radiomic signatures. KPRS was the best radiomic score based on the highest AUC (AUC = 0.878), which is prior to gray and arterial RS for differentiation between w-HCC and m/p-HCC. Univariate and multivariate analysis incorporating all radiomic signatures and serological variables showed that KPRS was the only independent predictor in both predictions of HCC lesions (p-HCC vs. w/m-HCC, log OR 15.869,

P
<
0.001

, m/p-HCC vs. w-HCC, log OR 12.520,

P
<
0.05

). We conclude that radiomics signature based on the Kupffer phase imaging may be useful for identifying the histological grade of HCC. The Kupffer phase radiomic signature may be an independent and effective predictor in discriminating w-HCC and p-HCC.
Effect of Surface Modification of Carbon Nanotubes on the Properties of High-Strength and High-Conductivity Copper Matrix Composites
Authors: Lei Tianxiang , Lv Fangcheng , Liu Jiaomin , Feng Jiahao , Zhang Ruien
Published: June 2022

The use of carbon nanotubes (CNTs) as the reinforcing phase to prepare copper-based composite materials can improve the strength and high conductivity of copper-based conductors. In order to analyze the effect of surface oxidation modification on the structural properties of carbon nanotubes and its strengthening effect on composite materials, this article combines heterogeneous copolymerization liquid phase mixing method and spark plasma sintering molding method; prepares the carbon nanotubes/copper composite materials using carbon nanotubes under different oxidation treatment conditions as the reinforcing phase (the volume fraction of carbon nanotubes is 3%); and characterizes the microstructure, mechanical properties, and electrical and thermal conductivity of the composite material. Studies have shown that the tensile strength and hardness of composite materials first increase with the increase of CNT oxidation treatment time and then decrease with the increase of oxidation treatment time. When the oxidation treatment time is 4 h, CNTs are uniformly dispersed in the matrix while maintaining good structural integrity and load-bearing capacity, and the composite material has the highest mechanical properties. The tensile strength of the composite material made of 80‐ nm CNTs reaches 452.4 MPa, which is 1.6 times that of pure copper, and the hardness reaches 127.4HV, which is twice that of pure copper. The electrical conductivity and thermal conductivity of the composite material first increase with the increase of the oxidation treatment time of carbon nanotubes and then decrease with the increase of the oxidation treatment time. The 80 nm CNT reinforced composite material has better CNT dispersion performance and higher conductivity than that of 15 nm CNT preparation. The electrical conductivity of the composite material reaches the maximum value of 92% IACS when the CNT oxidation treatment time is 4 hours, which is 95% of the pure copper sample, and the electrical conductivity is significantly better than that of the CNT/Cu composite material and copper alloy prepared by other methods. The thermal conductivity of composite materials is lower than that of pure copper. The thermal conductivity of carbon nanotubes with an oxidation treatment time of 2 h decreases most obviously, indicating that the thermal resistance generated by the interface and agglomeration phases in the composite material affects its thermal conductivity.
Resveratrol Downregulates miR‐155‐5p to Block the Malignant Behavior of Gastric Cancer Cells
Authors: Su Nana , Li Lanlan , Zhou Erle , Li Hong , Wu Shuhua , Cao Zhang
Published: June 2022

Studies have shown that resveratrol (Res) exerts significant antiproliferative effects in cancer, and regulating the expression of microRNAs (miRNAs) is one the underlying mechanisms of these effects. Overexpression of miR‐155‐5p leads to oncogenesis. However, it is unclear whether Res exerts antitumor effects by regulating the expression of miR‐155‐5p, and its specific mechanism in gastric cancer remains unknown. In this study, qRT‐PCR was performed to assess the expression of miR‐155‐5p in gastric cells and clinical tissues, and the MTT assay, plate clone formation test, cell scratch test, Transwell assay, and flow cytometry were performed to investigate the functions of Res on the growth of gastric cancer cells after treatment with miR‐155‐5p. Western blot analysis was performed to detect the expression of claudin 1, c‐Myc, cyclin D1, Bcl‐2, and caspase‐3 proteins in gastric cancer cell lines after treatment with miR‐155‐5p and Res. We found that miR‐155‐5p was overexpressed in gastric cancer cells and clinical tissues, while Res inhibited gastric cancer cell growth by regulating miR‐155‐5p expression. The results of MTT assay, plate clone formation test, cell scratch test, Transwell test, and flow cytometry showed that miR‐155‐5p promoted the proliferation, invasion, and metastasis of gastric cancer cell lines and inhibited apoptosis, while Res addition inhibited this effect (P < 0.05). When miR‐155‐5p was overexpressed, the expressions of claudin 1, c‐Myc, cyclin D1, and Bcl‐2 were upregulated and that of caspase‐3 was downregulated. Collectively, these results suggest that miR‐155‐5p may be a therapeutic target in gastric cancer, and Res may be a potential therapeutic agent based on its regulation of miR‐155‐5p.