bluuebunny/crossref_metadata_2025 huggingface dataset:
A High-Speed Fully Differential Telescopic Op-Amp for Active Filter Designs in V2X Applications
Authors: Barin Furkan , Zencir Ertan
Published: November 2021

In this paper, an ultra-wideband fully differential two-stage telescopic 65-nm CMOS op-amp is presented, which uses low-voltage design techniques such as level shifter circuits and low-voltage cascode current mirrors. The designed op-amp consists of two stages. While the telescopic first stage provides high speed and low swing, the second stage provides high gain and large swing. Common-mode feedback circuits (CMFB), which contain five transistors OTA and sensing resistors, are used to set the first-stage output to a known value. The designed two-stage telescopic operational amplifier has 41.04[Formula: see text]dB lower frequency gain, 1.81[Formula: see text]GHz gain-bandwidth product (GBW) and 51.9∘ phase margin under 5[Formula: see text]pF load capacitance. The design consumes a total current of 11.9[Formula: see text]mA from a 1.2-V supply voltage. Presented fully differential two-stage telescopic op-amp by using low-voltage design techniques is suitable for active filter in vehicle-to-everything (V2X) applications with 120[Formula: see text][Formula: see text]m[Formula: see text]m layout area.
Determining the doubly slice genera of prime knots with up to 12 crossings
Authors: Karageorghis Lucia P. , Swenton Frank
Published: November 2021

For a knot [Formula: see text], the doubly slice genus [Formula: see text] is the minimal [Formula: see text] such that [Formula: see text] divides a closed, orientable, and unknotted surface of genus [Formula: see text] embedded in [Formula: see text]. In this paper, we identify the doubly slice genera of 2909 of the 2977 prime knots which have a crossing number of 12 or fewer.
Study of the dynamics of two chemostats connected by Fickian diffusion with bounded random fluctuations
Authors: Caraballo Tomás , López-de-la-Cruz Javier , Rapaport Alain
Published: November 2021

This paper investigates the dynamics of a model of two chemostats connected by Fickian diffusion with bounded random fluctuations. We prove the existence and uniqueness of non-negative global solution as well as the existence of compact absorbing and attracting sets for the solutions of the corresponding random system. After that, we study the internal structure of the attracting set to obtain more detailed information about the long-time behavior of the state variables. In such a way, we provide conditions under which the extinction of the species cannot be avoided and conditions to ensure the persistence of the species, which is often the main goal pursued by practitioners. In addition, we illustrate the theoretical results with several numerical simulations.
Can Culture Media Impact Preimplantation Embryo Aneuploidy?
Authors: Swain Jason E.
Published: November 2021

With continued improvements in blastocyst culture, cell sampling approaches, and genetic analysis platforms, the resulting improvements in embryo development and the resolution and accuracy of chromosome analysis have provided valuable insights into the preimplantation embryo. This includes the impact of in vitro culture conditions on chromosomal dynamics. Specifically, through analysis of embryo aneuploidy and mosaicism, a growing number of reports indicate that rates of chromosomal abnormalities can vary between IVF centers. Because differences in mosaicism reflect mitotic errors, this endpoint analysis suggests that IVF laboratory-controlled variables during embryo development may be influencing chromosome separation and segregation. A growing body of literature suggests that culture media may be one variable influencing preimplantation embryo aneuploidy and mosaicism. However, these data are far from definitive in demonstrating cause-and-effect. Whether reported differences may be due to media formulation, use of sequential media or single-step media, or uninterrupted culture approaches is unknown. Importantly, variables directly impacting media performance and embryo development, including pH, temperature, osmolality, and oxygen concentration, must also be considered and make it difficult to isolate the impact of culture media as the sole factor responsible. These IVF laboratory variables will be reviewed and literature suggesting a possible link to mitotic aneuploidy/mosaicism will be discussed.
[Retracted] Artificial Intelligence Imaging to Observe the Protective Effect of Hydrogen Sulfide on Acute Kidney Injury Caused by Urinary Sepsis
Authors: Yu Ziying , Zhang Xiaoli
Published: November 2021

With the development of medical technology products and the rapid development of computer technology, medical AI has become a hotbed in scientific research and clinical practice. Some medical AI‐assisted diagnosis has been applied to the clinic to assist doctors in formulating treatment plans. The traditional method of clinical diagnosis and treatment is that the physician makes an intentional diagnosis and then performs ancillary tests. The clinician performs diagnosis and treatment by identifying clinical symptoms and analyzing auxiliary examination results. Modern medical AI is based on big data collection and analyzes the test results through artificial intelligence and computer algorithms. It can output diagnostic results with high sensitivity and specificity for clinical tests. Acute kidney injury (AKI) is a common clinical emergency. The main clinical features are elevated blood creatinine, decreased urine output, and sharp decline in renal function within a short period of time, and it is a hot spot worldwide. In this experiment, a rabbit sepsis model was replicated by inoculating E. coli bacteria into the rabbit’s unilateral ureteral lumen and ligation. NaHS was used as an exogenous hydrogen sulfide donor to observe the effects of hydrogen sulfide on UTIs. The protective effect of oxidative stress and inflammatory response in acute kidney injury with hyperemia. In the experiment, the production of endogenous hydrogen sulfide was decreased in the Sepsis group, and the renal CSE activity was decreased, while the content of endogenous hydrogen sulfide in the NaHS group was higher than that of the Sepsis group, and the CSE activity of renal tissue was increased. It can be seen that the plasma hydrogen sulfide and renal tissue SCE levels in septic acute kidney injury increased after NaHS intervention, and the renal tissue damage was reduced, suggesting that hydrogen sulfide is mainly generated endogenously through the action of CSE, which causes damage to the kidneys. The expressions of iNOS and HO‐1 in renal tissues of urinary sepsis are increased. H2S can play a certain protective effect on acute kidney injury in urinary sepsis by down‐regulating iNOS and up‐regulating the expression of HO‐1.
Identification of the Upregulation of MRPL13 as a Novel Prognostic Marker Associated with Overall Survival Time and Immunotherapy Response in Breast Cancer
Authors: Ye Hongshan , Zhang Ning
Published: November 2021

Mitochondrial ribosomal protein (MRPL) genes have been reported to participate in many cellular processes, such as cell proliferation, apoptosis, and cell cycle. Meanwhile, the occurrence rate of breast cancer (BRCA) in China steadily increased. Exploring the prognostic value of MRPL genes in BRCA could provide novel biomarkers for BRCA. In this study, to identify prognosis-related genes in breast cancer, the

P

value and the hazard ratio (HR) of all genes are analyzed with TCGA database. We revealed higher expression level of CEL, PGK1, WNT3A, USP41, LINC02037, PCMT1, LRP11, MCTS1, TCP1, TMEM31, STK4-AS1, STXBP5, LOC100287036, SLC16A2, MRPL13, DERL1, and TARS was correlated to shorter OS time in BRCA. However, higher expression level of JCHAIN, KLRB1, and TNFRSF14 was correlated to longer OS time in BRCA. The further analysis demonstrated MRPL13 was overexpressed in BRCA. Subtype analysis showed that MRPL13 was overexpressed in luminal, HER2-positive BRCA, and TNBC samples and was highest in TNBC samples. Moreover, we revealed higher expression of MRPL13 was significantly correlated to shorter OS time and higher TMB levels in BRCA. Pan-cancer analysis further revealed the prognostic value of MRPL13 in human cancers. MRPL13 expression was significantly increased in multiple human cancers, such as bladder cancer, colon cancer, liver cancer, and prostate cancer. Pan-cancer TMB and overall survival time showed dysregulation of MRPL13 is significantly related to the OS and TMB levels in various cancers. These results further proved that MRPL13 may be a pan-cancer biomarker for predicting prognosis and the response to immunotherapy.
Classification of Imbalanced Data Using Deep Learning with Adding Noise
Authors: Fan Wan-Wei , Lee Ching-Hung
Published: November 2021

This paper proposes a method to treat the classification of imbalanced data by adding noise to the feature space of convolutional neural network (CNN) without changing a data set (ratio of majority and minority data). Besides, a hybrid loss function of crossentropy and KL divergence is proposed. The proposed approach can improve the accuracy of minority class in the testing data. In addition, a simple design method for selecting structure of CNN is first introduced and then, we add noise in feature space of CNN to obtain proper features by a training process and to improve the classification results. From comparison results, we can find that the proposed method can extract the suitable features to improve the accuracy of minority class. Finally, illustrated examples of multiclass classification problems and the corresponding discussion in balance ratio are presented. Our approach performs well with smaller network structure compared with other deep models. In addition, the performance is improved over 40% in defective accuracy by adding noise approach. Finally, the accuracy is higher than 96%; even the imbalanced ratio (IR) is one hundred.
Researches on the Influence of Blasting of Newly Built Tunnel on the Existing Tunnel Structure with Small Cross Angle
Authors: Du Xian , Xiao Qinghua , Li Congming , Xiong Qiang , Yu Jianyou
Published: November 2021

In recent years, with the increasement of the railway expansion projects, the blasting damage has caused great threat to the safety of the existing tunnel structure. However, few researches are carried out on the influence of tunnel blasting construction on existing small‐angle crossing tunnel structure. In this study, the dynamic response of existing tunnel structure to the blasting activities in newly built tunnel is analyzed by numerical simulation. From the comparison of vibration velocity, lining stress, and the displacement of the existing tunnel structure, the blasting methods, surrounding rock condition, cross angle, and clear distance are proven to be the highly correlated factors for the dynamic response of the existing tunnel to blasting. Then, combined with the analytic hierarchy process, the vibration velocity is selected as the optimal index to indicate the dynamic response to blasting activities.
Dynamic Response of the Entrance Structure of an Elliptical Mountain Tunnel under the Action of SH Waves
Authors: Wang Zhenyu , Yang Junsheng , Wang Xinghua
Published: November 2021

Generally, the surrounding rock at the entrance of a mountain tunnel is loose, and the entrance has more slopes due to topography, which causes the tunnel entrance section to be easily destroyed under an earthquake. Based on the established slope model with a single free surface, this paper adopted the elastic wave theory to derive the analytical solution of the strain at the entrance of the mountain tunnel when the SH wave is incident perpendicularly to the bottom of the tunnel; besides, the factors affecting strain were also analyzed. The tangential strain curve at each point of the entrance section takes the centre of the elliptical tunnel as the centre of symmetry, forming symmetry between the left and right sides and mirror symmetry between the top and bottom sides. Then, large‐scale shaking table model experiments were conducted to model the actual working conditions, and the correctness of the analytical solution was verified. The research can provide a theoretical reference for the seismic design of the entrance section of the high‐speed railway tunnel and greatly improve the understanding of its seismic response.
Smart Medical Prediction for Guidance: A Mechanism Study of Machine Learning
Authors: Wang Xiangming , Dong Baobao
Published: November 2021

Data analysis and prediction have gradually attracted more and more attention in the smart healthcare industry. The smart medical prediction system is of great importance to the enterprise strategy and business development, and it is also of great value to provide medical advices for patients and assist patient guidance. The research theme is the use of machine learning technologies with the application in the areas of smart medical analysis. In this paper, the actual data of the smart medical industry were statistically analysed and visualized according to the features, and the most influential feature combinations were selected for the establishment of the prediction model. Based on machine learning technology, namely, random forest, the guidance prediction model is established, and the combination of features is repeatedly adjusted to improve its accuracy. The practical significance of this paper is to provide a high-precision solution for smart medical data analysis and to realize the proposed data analysis and prediction on the cloud platform based on the Spark environment.
Research on Evolutionary Game of Collaborative Innovation in Supply Chain under Digitization Background
Authors: Lu Meili , Gao Yujia , Wan Qin
Published: November 2021

The development of digital technology has been rapidly pushing forward collaborative innovation in supply chain. This paper analyzes the influence mechanism of information sharing, resource integration, and trustworthiness among the enterprises in supply chain to collaborative innovation under the digitization background and builds the model of dynamic evolutionary game in which enterprises in supply chain participate collaborative innovation, and then, through the methods of model solution analysis and numerical simulation the following concrete conclusions are reached: the increase of data sharing profit coefficient, resource integration coefficient, and trustworthiness causes the increase of the probability that an enterprise selects to participate collaborative innovation in supply chain, and the increase of data sharing cost, security risk coefficient, and free rider income causes the decrease of the probability that an enterprise selects to participate collaborative innovation in supply chain; meanwhile, the increase of all the coefficients makes the velocity with which decision-making approaches to the direction toward decision higher and higher, and when the core enterprises participate the game, they can drive the common enterprises make decision more rapidly; and for the probability that an enterprise selects to participate collaborative innovation in supply chain, data sharing profit coefficient, data sharing cost coefficient, security risk coefficient, and free rider income have threshold values. These conclusions play active roles in leading enterprises to attach importance to digitization construction and actively participate collaborative innovation in supply chain.
Evaluating Evidences of Effectiveness in Web-Based Nursing Education Program
Authors: Wang Jie
Published: November 2021

Background. Web-based education programs are essential in every field of learning, and in nursing coursework, they can contribute towards behavioral development. It is found that emerging approach of web-based nursing programs is overpowering the traditional education methods and provides flexibility in learning and training programs. Therefore, it is considered as a promising medium of learning which can take over the traditional methods because of its effectiveness. Objective. A systematic review and meta-analysis was performed for analysis of efficiency and effectiveness of web-based nursing education. This study is aimed at evaluating the evidences which evaluate the effectiveness of the web-based nursing education programs. Material and Methods. Studies were selected from 2008 to 2020 available from various global databases like PubMed, Embase, CINAHL, ProQuest, and Cochrane Library. Results. Five studies were selected for analysis where the results demonstrated no significant difference in the effectiveness of use of web-based nursing educational programs. Conclusion. More evidences are required for supporting the efficiency and effectiveness of use of web-based programs for nursing education. Hence, more research is required for evaluating the length of nursing education, evaluating practice-based clinical aspects like success ratio for outcomes of study, type of patients handled, and severity of cases handled for better outcomes.
The Log-Asset Dynamic with Euler–Maruyama Scheme under Wishart Processes
Authors: Naryongo Raphael , Ngare Philip , Waititu Anthony
Published: November 2021

This article deals with Wishart process which is defined as matrix generalization of a squared Bessel process. We consider a single risky asset pricing model whose volatility is described by Wishart affine diffusion processes. The multifactor volatility specification enables this model to be flexible enough to describe the market prices for short or long maturities. The aim of the study is to derive the log-asset returns dynamic under the double Wishart stochastic volatility model. The corrected Euler–Maruyama discretization technique is applied in order to obtain the numerical solution of the log-asset return dynamic under Bi-Wishart processes. The numerical examples show the effect of the model parameters on the asset returns under the double Wishart volatility model.
Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System
Authors: Dong Aihua , Guo Jian , Cao Yongzhi
Published: November 2021

This study aims to design a set of the visual artificial intelligence system based on medical information mining for hospital emergency care management. A visual artificial intelligence emergency first aid nursing management system is designed by analyzing the needs of the emergency first aid nursing management system. The results show that system personnel allocation, comparative management, record management, query management analysis, basic setup analysis, nursing management basis, and nonfunctional requirements all need to be optimized for the emergency first aid management system. In this study, the comparative management module, log management module, and the query management module are designed, and the emergency first aid management system of different APP terminal functions in different modules is described in detail. The nursing document query business is tested, and the corresponding time of query of nursing assessment sheet, nurse shift record, nurse record, and physical sign observation sheet is 375.50 ms, 351.48 ms, 336.36 ms, and 245.57 ms, respectively. It shows that the visual artificial intelligence emergency nursing management system based on medical information mining can provide convenience for clinical work to a large extent and has potential application value in hospital emergency nursing work.
Baicalin Inhibits EMT through PDK1/AKT Signaling in Human Nonsmall Cell Lung Cancer
Authors: Chen Jia , Yuan Cheng-Bo , Yang Bo , Zhou Xuan
Published: November 2021

Background. Baicalin is a naturally occurring compound with anticancer, antioxidant, and anti-inflammatory properties. However, the mechanism underlying its anticancer activity on nonsmall cell lung cancer (NSCLC) remains unclear. Methods. The effects of baicalin on the progression and metastasis of experimental NSCLC cell lines were studied in vitro and in vivo. Wound-healing and transwell assays were performed to evaluate the potency of baicalin and the motility and migration ability of NCI-H460 cells. Immunofluorescence assay, western blot assay, and immunohistochemistry test were conducted to investigate the inhibiting effect of baicalin on the epithelial-mesenchymal transition (EMT) of NSCLC. Results. Baicalin inhibited the proliferation and migration of NCI-H446 human NSCLC cells in a dose-dependent manner, reduced the expression levels of phospho-3-phosphoinositide-dependent protein kinase 1 (p-PDK1) and phosphor-serine/threonine-protein kinase (p-AKT), reversed the levels of EMT markers, and inhibited the migration of NSCLC cells. Conclusions. Baicalin impedes EMT by inhibiting the PDK1/AKT pathway in human NSCLC and thus may be an effective alternative treatment for carcinoma and a new candidate antimetastasis drug.
Comparison of Time Course Detection of Human Male DNA from Blood Stains on Various Objects on Surface in a Natural Environment and in a Laboratory Using Loop-Mediated Isothermal Amplification (LAMP)
Authors: Kumsiri Ratchanok , Kanchanaphum Panan
Published: November 2021

In forensic study, the biological evidence can easily degrade, especially DNA. Degraded and environmentally challenged samples can produce numerous problems in forensic DNA analysis including loss of band product. Loop-mediated isothermal amplification or LAMP is one of the DNA analysis techniques used in forensic study. This study explores the limitations of the efficiency of the LAMP technique on abandoned DNA. For the DNA template, 8 male and 2 female blood-stained samples were taken from the surfaces, namely, brick, cloth, and tile from inside, and buried outside the laboratory. The LAMP reaction was used to amplify the SRY gene for detecting male DNA. All the blood-stained samples were stored for 1, 7, 15, 30, and 45 day (s). The LAMP product from the blood-stained samples on all the surfaces that were kept in a laboratory was detected using the gel electrophoresis technique from day 1 until day 45. However, the LAMP product on day 30 and 45 was smear and dim. The LAMP product from the blood-stained samples buried outside the laboratory was observed using the gel electrophoresis technique within day 30 (smear and dim). To increase the efficiency of detection, the qLAMP technique detected product on all the male samples from all the surfaces buried outside the laboratory for 45 days. The results indicate that this LAMP condition was possible detecting male DNA and the environmental factors are the main influence on the sensitivity of the LAMP technique. In addition, the qLAMP technique can increase the capacity and sensitivity of the detection.
Design of Human-Machine Interaction Interface for Autonomous Vehicles Based on Multidimensional Perceptual Context
Authors: Lu Jin , Ma Jun , Gong Zaiyan
Published: November 2021

The objective of the study is to provide guidance for automobile human-computer interface design through the research, practice, and evaluation of intelligent driving automobile human-computer interfaces. In this study, the methods of intelligent vehicle automatic cruise control function, theoretical models of the situation analysis, and a three-level information architecture are proposed and designed. During the study, interface space layout is combined with the interactive interface design. The results obtained on the basis of the proposed three levels of perception and prediction of situation awareness are combined with typical application scenarios. The information on AR-HUD and W-HUD in anterior cingulate cortex (or ACC) function is analyzed. The feasibility of the theory is verified through the design practice of information architecture design, key prototype, and typical effect diagram. The human-computer interaction interface based on situational awareness can effectively clarify the display content and process of information and improve the usability of the interface.
Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT
Authors: Xue Liang , Ma Yao , Zhang Miao , Qin Wanqiang , Wang Jin-Long , Wu Yazhou
Published: November 2021

In this paper, the optimal beamforming problem of multi-input single-output (MISO) cognitive radio (CR) downlink networks with simultaneous wireless information and power transfer is studied. Due to the nonconvexity of the objective function, the considered nonconvex optimization problem is firstly transformed to an equivalent subtraction problem and then an approximated convex optimization problem is obtained by using the successive convex approximation (SCA). When the instantaneous channel state information (CSI) of the eavesdropping link is unknown to the legitimate transmitter, another interruption-constrained energy efficiency optimization problem is proposed and the Bernstein-type inequality (BTI) is used to conservatively approximate the probability constraint. The paper proposes a two-level iterative algorithm based on Dinkelbach to find the optimal solution of the EE maximization problem. Numerical results validate the effectiveness and convergence of the proposed algorithm.
Ground Pressure under Mining Ore Bodies of Different Angles Based on Physical Simulation
Authors: Li Xiaoshuang , Song Jian
Published: November 2021

Ground pressure characteristics of the ore body and the overburden deformation of the stope depend highly on the combined influence of geological conditions and mining disturbance. The ore body inclination, as a natural geological factor, has a nonnegligible effect on the underground mining. The ore angle plays a great role in the stress distribution of the overlying rock layer, resulting in the movement and destruction of the rock layer. The variation of the ore angle dominates the stress distribution of the overburden rock, the forms of movement, destruction, and the surface moving basin. Here, taking the geological mining conditions of the deep ore body mining in Jinning Phosphate Mine as the engineering background, we adopt a similar material ratio scheme of each rock layer in the mining area via the similarity theory and the principle of orthogonal experiment. We conduct systematic study on the strata movement, mining failure characteristics, and movement of the overlying rock in stope using a similar simulation test under two different ore angles of 20° and 50°. We found that, as the ore body inclination increases from 20° to 50°, the overburden unloading area of the stope extending to the deep part of the rock layer in the vertical direction is more obvious and its shape is more asymmetric about the stope center. The unloading area is more concentrated in the middle and upper part of the stope, while the upward development trend is more obvious. The relevant results can provide a certain reference for the underground mining of the mines and those with similar conditions.
Baseline Diet Quality Is Related to Changes in the Body Composition and Inflammatory Markers: An Intervention Study Based on Resistance Training and Nutritional Advice
Authors: Coelho Daniel Barbosa , Lopes Lilian Maria Peixoto , de Oliveira Emerson Cruz , Becker Lenice Kappes , de Paula Costa Guilherme , Hermsdorff Helen Hermana Miranda , Drummond e Silva Fernanda Guimarães , de Castro Pinto Kelerson Mauro , Talvani André , Carraro Júlia Cristina Cardoso
Published: November 2021

Habitual food intake and physical activity can affect chronic low‐grade inflammation, which is common in the elderly, because of changes in the immune system and body composition. Thus, the present study proposes an evaluation of the influence of past eating habits on the effects of an intervention of resistance training plus dietary advice on the inflammatory profile of the elderly. We conducted an intervention study with 40 elderly people. The Revised Diet Quality Index (HEI‐R) and the dietary total antioxidant capacity (dTAC) were calculated before the intervention based on a food frequency questionnaire validated to the elderly population. Participants were categorized according to the median of HEI‐R and dTAC to assess the influence of the habitual diet quality on anthropometry and inflammatory markers (CRP, IL‐8, CCL‐2, and leptin) before and after the intervention. The 19‐week intervention provided a long‐term progressive resistance training associated with dietary advice focused on foods rich in compounds with anti‐inflammatory and antioxidant properties. There was a greater reduction in weight, body mass index (BMI), and body fat (%) in the group with the lowest HEI‐R and a greater reduction in the body fat (%) in the group with the lowest dTAC, indicating that the group that had a worse diet quality before the intervention responded better to it. The index HEI‐R correlated negatively with Δweight and ΔBMI. dTAC correlated positively with Δmonocyte 1 chemotactic protein (CCL‐2) and ΔC‐reactive protein (CRP). In this scenario, elderly persons with bad habits can benefit from interventions to lifestyle change, while the better diet quality including dietary antioxidant sources can be useful to control weight and inflammatory biomarkers in this population.
Is the Occurrence or Reversal of Nonalcoholic Fatty Liver Disease Associated with Long-Term Helicobacter pylori Infection among Chinese Adults? A Cohort Study
Authors: Zhao Xia-Xia , Wang Rui-Ling , Liu Ming-Hao , Huang Xiao-jun
Published: November 2021

Background. Previous studies have suggested a link between Helicobacter pylori (H. pylori) infection and nonalcoholic fatty liver disease (NAFLD), yet long-term follow-up studies to elucidate this association are lacking. We aimed to identify the relationship between NAFLD and H. pylori in these people. Methods. A total of 2,934 adults between June 2013 and October 2017 were collected; among them, 675 people met the requirements. People were assessed for H. pylori infection diagnosis as detected by the carbon-13 urea breath test; they were also assessed for NAFLD diagnosis by ultrasound. Results. H. pylori infection was present in 206 patients (30.5%), and 469 (69.5%) participants were classified as controls. Participants with H. pylori infection had a higher rate of incident NAFLD than those who were uninfected (37/206; 18% versus 73/469; 15.6%) (

p
<
0.001

). Compared with the control group, the recovery rate of NAFLD in the H. pylori+ve group was low (6/206, 2.9% versus 33/469, 7.0%) (

p
<
0.001

). Besides, the incidence of uric acid, postprandial blood glucose, TG, LDL-C, HDL-C, and fasting plasma glucose was significantly different between the two groups (

p
<
0.001

), but no difference was found in alanine aminotransferase (ALT), liver-total protein, urea nitrogen, and cholesterol (

p
>
0.05

). Conclusion. H. pylori infection was a risk factor for NAFLD and affected the occurrence or reversal of NAFLD, indicating that H. pylori infection eradication might play a role in reducing the risk of NAFLD.
The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence
Authors: Jing Xi , Maia Darchia
Published: November 2021

This paper conducts in-depth research and analysis on the construction of the public information product APP application platform of urban big media in the context of artificial intelligence and discusses its development. Based on the improvement of the SICAS model, a model of enterprise and user information interaction characteristics in the new media environment is constructed, and social network analysis and semantic analysis methods are used to research enterprise and user information interaction characteristics in the new media environment. The point degree centrality index is used to analyze forwarding and being forwarded behavior in information interaction, the intermediate centrality index is used to analyze following and being followed behavior, the proximity centrality index is used to analyze commenting and being commented behavior, the feature vector centrality index is used to analyze the cohesiveness of information interaction behavior, and the semantic keyword word is used to analyze the semantic keyword word in the research process. The results of the study show that the constructed model can analyze the information interaction behaviors of enterprises and users in the new media environment. The research results show that the constructed model can systematically analyze the information interaction characteristics, and the information interaction between enterprises and users in the new media environment is more timely, more effective, and more satisfying to users. The current situation of the construction of the public information platform and the problems existing in the construction are proposed to achieve the standardization of the construction of the public information platform in the context of smart city, the construction of the platform supervision system, and the strengthening of information security publicity and talent training. To offer a suitable platform and provide efficient solutions for the development of a public information service platform in the city, enhance the professional quality of research papers and dissertations, as well as the solutions’ operability. More public services will be provided in a highly connected way across the boundaries between government, enterprises, society, and citizens and even form a public service market that accepts autonomous choices and becomes an important part of the digital economy, thus finding a good balance between economic development and social welfare.
Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises
Authors: Li Min , Madina Zamira
Published: November 2021

Artificial intelligence companies are different from traditional labor-intensive and capital-intensive companies in that their core competitiveness lies in technology, knowledge, and manpower. Enterprises show the characteristics of a high proportion of intangible assets, strong profitability, and rapid growth. At the same time, there are also the characteristics of high risk and high uncertainty. In addition to the existing value brought by existing profitability, corporate value should also consider the potential value brought by potential profitability. Enterprise value is affected by many factors such as profitability, growth ability, innovation ability, and external environment. Traditional valuation techniques are often utilised to value artificial intelligence businesses in the present market. Traditional valuation methods ignore the dynamics and uncertainties of artificial intelligence enterprise value evaluation, make static and single predictions of future earnings, ignore the value of enterprise management flexibility, and are unable to assess the intrinsic value of artificial intelligence businesses. Based on the projection pursuit method, this paper constructs a modern high-quality development enterprise high-quality development evaluation model, uses real-code accelerated genetic algorithm to optimize the projection objective function, and calculates the best projection direction vector and projection value. The collected sample data can be imported into the evaluation model to calculate the comprehensive evaluation value of the high-quality development of modern high-quality development enterprises and the weights of various indicators included. By comparing the size of the comprehensive evaluation value, each sample can be calculated Evaluation of the level of high-quality development. The results show that the high-quality development level of China’s overall economy is on the rise, but the level of development is still low, and there is a large gap between the development level of the eastern region and the central and western regions. Using the systematic generalized moment estimation method, empirically, we analyse the impact of artificial intelligence on the high-quality economic development. The results show that artificial intelligence at the national level and in the central and western regions will significantly promote high-quality economic development, while artificial intelligence in the eastern region has a significant inhibitory effect on high-quality economic development.
Mid-Late Holocene Stalagmite δ18O and δ13C Records in Naduo Cave, Guizhou Province, China
Authors: Wang Jialu
Published: November 2021

Global warming and climate anomalies have attracted worldwide attention. The study of global climate change has received increasing attention from all countries and fields worldwide. Paleoclimate research is an important way to understand past global change and environmental evolution and to simulate and predict future climate development. A stalagmite ND3 collected in Naduo Cave was used to reconstruct the history of local climate and environmental changes from 0.55 to 5.07 ka BP based on the data of 13 230Th ages and 642 groups of oxygen and carbon stable isotopes. First, according to correlation analysis, δ18O and δ13C were significantly correlated (correlation coefficient r = 0.308, n = 318,

P
<
0.001

) during the 5.07–2.00 ka BP period. However, during the period of 2–0.55 ka BP, there was no significant correlation

P
>
0.05

. The δ18O and δ13C data indicate that the climatic environment changed asynchronously during the period of 2.00–0.55 ka BP. During the period of 5.07–2.00 ka BP, the influence of human activities was weak, and δ18O and δ13C indicate similar climatic and environmental conditions, both of which changed in the same direction (positive correlation). In other words, when δ18O was positive, it indicated weak summer monsoons and lower precipitation, which led to declines in vegetation, weakened biological activity, and decreased soil CO2 and positive δ13C. The reverse patterns were also true. Since 2.0 ka BP, the intensity of human activities and the transformation and influence of surface vegetation have increased, and native vegetation has been destroyed in large quantities. Therefore, the climatic and environmental significance indicated by δ13C and δ18O has been well demonstrated. Second, the δ18O records showed that stalagmite ND3 responded to the weak monsoon drought events of 4.2 ka BP and 2.8 ka BP in the Holocene in a discontinuous deposition manner, which brings up new directions for future research.
Downregulation of lncRNA ANRIL Inhibits Osteogenic Differentiation of Periodontal Ligament Cells via Sponging miR-7 through NF-κB Pathway
Authors: Liu Xinwei , Zhou Yue
Published: November 2021

Background. Long noncoding RNAs (lncRNAs) are dysregulated in periodontitis development and involved in osteogenesis. The current study was aimed at investigating the function of lncRNA ANRIL in periodontal ligament cells (PDLCs) and potential molecular mechanisms. Methods. Firstly, the level of ANRIL was tested by qPCR. Then, PDLCs were treated with a mineralizing solution to induce osteogenic differentiation. ALP activity was measured, and protein levels of BMP2, Osterix, and OCN were measured by Western blot. A target of ANRIL was verified using dual-luciferase reporter assay. miR-7 level was measured by qPCR, and the signals of the NF-κB pathway were tested by Western blot. Results. ANRIL expression was downregulated in PDL tissues. Next, ALP activity and protein levels of BMP2, Osterix, and OCN were increased to show that PDLCs were differentiated. ANRIL level was increased in differential PDLCs, in which knockdown inhibited osteogenic differentiation. Then, miR-7 was found as a target of ANRIL. The miR-7 level was upregulated in PDL tissues and reduced in differential PDLCs. Inhibition of miR-7 suppressed ALP activity and BMP2, Osterix, and OCN expression. Moreover, inhibition of miR-7 reversed the effects on the osteogenic differentiation induced by knockdown of ANRIL. Besides, the levels of p-P65 and p-IκBα were elevated by ANRIL downregulation and were rescued by suppressing miR-7. Conclusions. Knockdown of ANRIL inhibited osteogenic differentiation via sponging miR-7 through the NF-κB pathway, suggesting that ANRIL might be a therapeutic target for periodontitis.
Elucidating the Mechanism of Action of Salvia miltiorrhiza for the Treatment of Acute Pancreatitis Based on Network Pharmacology and Molecular Docking Technology
Authors: Zhu Kunyao , Zhang Man , Long Jia , Zhang Shuqi , Luo Huali
Published: November 2021

Using network pharmacology and molecular docking, this study investigated the molecular mechanisms by which the active components in Salvia miltiorrhiza can alleviate acute pancreatitis. Initially, the active components of Salvia miltiorrhiza and the targets collected from the GeneCards database were screened based on the platform of systematic pharmacology analysis of traditional Chinese medicine. Subsequently, the active components were intersected with the disease targets. Also, interactions among the targets were computed using the STRING database. Biological function and pathway enrichment were analyzed using the Cluster Profiler package in the R software. Protein-protein interaction and component target pathway network were constructed using the Cytoscape software. Ultimately, the key targets and their corresponding components in the network were verified using the AutoDock Vina software. The results showed Salvia miltiorrhiza had 111 targets for acute pancreatitis. The biological process (BP) analysis showed that the active components of Salvia miltiorrhiza induced a drug response, positive regulation of transcription by RNA polymerase II promoter, signal transduction, positive regulation of cell proliferation, and negative regulation of apoptosis. Furthermore, the KEGG enrichment analysis screened 118 (

P
<
0.05

) signaling pathways, such as the pathways related to cancer, neuroactive ligand-receptor interaction, PI3K-Akt signaling pathway, and cAMP signaling pathway, to name a few. Finally, molecular docking showed that the active components of Salvia miltiorrhiza had a good binding affinity with their corresponding target proteins. Through network pharmacology, this study predicted the potential pharmacodynamic material basis and the mechanisms by which Salvia miltiorrhiza can treat acute pancreatitis. Moreover, this study provided a scientific basis for mining the pharmacodynamic components of Salvia miltiorrhiza and expanding the scope of its clinical use.
Comparison of Efficacy and Safety between Long‐Acting Injectable Antipsychotic Monotherapy and Combination of Long‐Acting Injectable and Oral Antipsychotics in Patients with Schizophrenia
Authors: Sathienluckana Thanompong , Tiangpattanawong Pornyupa , Chaiyasukthananoan Karnpreena , Jittayanan Pannapat , Sawetwangsing Hathaipat , Puchsaka Punyawee
Published: November 2021

Background. Long‐acting injectable (LAI) antipsychotics are used as a monotherapy in patients with schizophrenia. However, the combination of LAI and oral antipsychotics is commonly used in clinical practice, despite there being very limited studies investigating the efficacy and safety of this combination compared with LAI antipsychotic monotherapy. Objective. To study the efficacy and safety of LAI antipsychotic monotherapy compared with the combination of LAI and oral antipsychotics in patients with schizophrenia. Methods. This study was a retrospective cohort study, which classified eligible patients into two groups: the LAI antipsychotic monotherapy group and the combination of LAI and oral antipsychotic group. The primary outcome was hospitalization between groups. The duration of the study was 2 years. Results. In total, 86 patients completed the study and were analysed (LAI antipsychotic monotherapy group: n = 25; combination of LAI and oral antipsychotic group: n = 61). There was no significant difference in hospitalization between the two groups (P = 1.000). For other outcomes, there were also no significant differences in both all‐cause discontinuation (P = 0.667) and adverse drug reactions (P = 0.732) between the two groups. Conclusion. The efficacy and safety of LAI antipsychotic monotherapy appeared similar to the combination of LAI and oral antipsychotics in patients with schizophrenia. Therefore, the combination of LAI and oral antipsychotics, which is commonly used in clinical practice, may not be necessary.
Servant School Leadership and Organisational Climate in South African Private Schools
Authors: Swart Christo , Pottas Lidia , Maree David
Published: November 2021

The leadership of companies influences the organisational climate of companies by creating a cycle of continuous improvement or failing to do so. The same applies to educational leadership in their search for favourable teaching and learning conditions for all learners, especially those of underperforming schools whose academic results are not up to standard. Critical dialogue and new thinking regarding school leadership are mandatory to improve the status quo. It is proposed that the servant leadership paradigm, when practiced by school leadership, may have a significant influence on the school environment. A qualitative approach was utilised to measure the impact of servant school leadership on the organisational climate of private schools in South Africa, with the aim of learning valuable lessons to implement in the public school domain and especially the underperforming school sector. A purposive convenience sampling approach was applied to select participants for three focus group interviews. A theoretical thematic, semantic, and essentialist analytical approach served as the foundation for this study. The focus group interviews confirmed that the participants perceived their school leaderships to implement specific characteristics of servant leadership and organisational climate to enhance a positive school environment for teachers and learners to succeed. The participants also perceived definite links between servant leadership and organisational climate. It is recommended that the servant leadership paradigm and its impact on the organisational climate of underperforming schools be researched and considered for implementation nationally and internationally.
Transcranial Magnetic Stimulation and Working Memory Training to Address Language Impairments in Aphasia: A Case Study
Authors: Kranou-Economidou Despina , Kambanaros Maria
Published: November 2021

Background. Traditionally, people with aphasia (PWA) are treated with impairment-based language therapy to improve receptive and expressive language skills. In addition to language deficits, PWA are often affected by some level of working memory (WM) impairments. Both language and working memory impairments combined have a negative impact on PWA’s quality of life. The aim of this study was to investigate whether the application of intermittent theta-burst stimulation (iTBS) combined with computerized WM training will result in near-ransfer effects (i.e., trained WM) and far-transfer effects (i.e., untrained language tasks) and have a positive effect on the quality of life of PWA. Methods. The participant was a 63-year-old Greek-Cypriot male who presented with mild receptive aphasia and short-term memory difficulties. Treatment was carried out using a multiple baseline (MB) design composed of a pretherapy or baseline testing phase, a therapy phase, and a posttherapy/follow-up phase. The treatment program involved iTBS application to the left dorsolateral prefrontal cortex (DLPFC), an area responsible for WM, for 10 consecutive sessions. The participant received a 3-minute iTBS application followed by 30-minute computer-assisted WM training. Outcome measures included a WM screening test, a standardized aphasia test, a nonverbal intelligence test, story-telling speech samples, a procedural discourse task, and a questionnaire addressing quality of life. These measures were performed three times before the treatment, immediately upon completion of the treatment, and once during follow-up testing at 3 months posttreatment. Results. We found a beneficial effect of iTBS and WM training on naming, reading, WM, reasoning, narrative, communication efficiency, and quality of life (QoL). Implications for Rehabilitation. Noninvasive brain stimulation combined with computerized WM training may be used in aphasia rehabilitation to improve WM and generalize to language improvement.