bluuebunny/crossref_metadata_2025 huggingface dataset:
MTA‐Based Cements: Biocompatibility and Effects on the Gene Expression of Collagen Type 1 and TGF‐β1
Authors: Escobar-García Diana María , Medina-Rosas María Guadalupe , González-Amaro Ana María , Méndez-González Verónica , Flores Héctor , Pozos-Guillén Amaury
Published: March 2022

Objective. This study sought to evaluate the biocompatibility of Neomineral Trioxide Aggregate (Neo‐MTA), MTA Repair High Plasticity (MTA‐HP), and Mineral Trioxide Aggregate‐Angelus white (MTA‐Ang) in fibroblasts of human dental pulp. Materials and Methods. Morphology was evaluated after 24 h of incubation. LIVE/DEAD assay and cell adhesion tests were performed at 24 h of treatment. Cell proliferation assays (MTSs) and Annexin V were performed at 48 h incubation with different treatments. The expression of Col‐1 and TGF‐β1 was tested by endpoint PCR at 5 days of treatment. Results. Morphological changes were observed in all groups. Neo‐MTA and MTA‐Ang were associated with increased cell viability, and all materials induced apoptosis, with a higher percentage in the MTA‐HP group than in the other groups. In the LIVE/DEAD assay, there was more damage to the cell membrane in the group of cells treated with MTA‐HP than in the other groups. Conclusion. Neo‐MTA and MTA‐Ang presented similar biocompatibility, and both showed greater biocompatibility than MTA‐HP. MTA‐HP and MTA‐Ang increased Col‐1A gene expression, and Neo‐MTA and MTA‐Ang increased TGF‐β1 gene expression in a similar way.
Effect of Fibers on the Mechanical Properties and Mechanism of Cast-In-Situ Foamed Concrete
Authors: Zhao Wenhui , Liu Zexing , Wang Ruiqi
Published: March 2022

The cast-in-situ foamed concrete is inherently susceptible to cracks due to its brittleness under external loads. In order to improve its mechanical properties, this paper investigated the effect of fibers on the mechanical properties and mechanism of cast-in-situ foamed concrete with designed dry densities in the range of 300–800 kg/m3. First, the influence of density on the mechanical properties of foamed concrete was studied, and the applicability of the splitting test, bending test, and direct tensile test was analyzed. Secondly, alkali-resistant glass fiber (high elastic modulus) and polypropylene fiber (low elastic modulus) were selected to determine the optimal fiber length and content. Finally, failure mode analysis was carried out to explore the influence mechanism of fibers on the mechanical properties of foamed concrete. The results showed that the compression curve model of cast-in-situ foamed concrete was mainly divided into three stages: the elastic stage, the brittle stage, and the yield stage. There were still some problems in the application of direct tensile tests and splitting tests for foamed concrete materials, and only the bending test could be used to test the tensile strength of foamed concrete materials. For the foamed concrete with a designed dry density of 300–800 kg/m3, the compressive strength, elastic modulus, and tensile strength of foamed concrete increased upon increasing the casting density. The compressive strength, elastic modulus, and flexural strength of foamed concrete first increased and then decreased upon increasing the fiber content. The optimal fiber length was 6 mm, the optimal glass fiber content range was 0.2–0.6%, and the optimal polypropylene fiber content range was 0.4–0.8%. The fibers formed a bridge structure between the hardened products, which increased the adsorption force between the hardened products of foamed concrete, thus increasing its compressive strength and flexural strength.
Application of Artificial Intelligence Extrusion Die Model Based on Finite Element Simulation in Decorative Material Aluminum Alloy
Authors: Song Xu , Wu Yuan , Wu Yun
Published: March 2022

At this stage, the varieties and specifications of aluminum profiles continue to increase, and the scope of application continues to expand. The extrusion forming process is the key technology to realize the production of aluminum profiles, and its technological level determines the quality of the profile products and the service life of the mold. However, in actual production, the quality of the die is difficult to guarantee, and it takes multiple die trials and die repairs to produce qualified products. The numerical simulation technology is used to simulate the actual extrusion process, which can track and describe the flow behavior of the metal in real time, reveal the real flow law of the metal, predict the possible defects of the profile during the extrusion process, and adjust the mold structure and process parameters in time. It can not only improve the quality of extruded profiles, but also reduce production costs and shorten the mold production cycle. Based on this, this paper established an extrusion die optimization design model integrating finite element simulation technology and artificial intelligence algorithm. The prediction models were established with the mean square deviation of the section velocity, the maximum extrusion force and the maximum temperature of the section, respectively, and the optimal design of the structure was realized by using the particle swarm algorithm. The experimental results show that the model in this paper can realize the function well, which verifies the validity of the model.
Nanomaterial‐Based Prosthetic Limbs for Disability Mobility Assistance: A Review of Recent Advances
Authors: Tan Qiaoyin , Wu Cuicui , Li Lei , Shao Weide , Luo Min
Published: March 2022

The emergence of new hybrid nanomaterial has enabled prosthetic devices to have more performance and significantly improved the quality of life of the disabled. Due to the biosensing properties of prosthetic limbs made of nanomaterials, a large number of nanocomposites have been designed, developed, and evaluated for various prosthetic limbs, such as e‐skin, e‐skin’s neurotactility sensing, human prosthetic interface tissue engineering, bones, and biosensors. Nano‐based materials are also considered to be the new generation of scientific and technological materials for the preparation of various prosthetic devices for the disabled, which can effectively improve the sense of use of the disabled and achieve functional diversity. The study described various nanomaterials for prosthetic devices, and introduced some basic components of nanocomposites; their applications are in three areas, such as bone, skin, and nerve, and evaluated and summarized the advantages of these applications. The results show that (1) carbon‐based nanomaterials as neural materials have been studied most deeply. Due to that strong stability of the carbon‐based material and the simple transmission mechanism, the cost can be controlled in manufacturing the artificial limb. Materials with human‐computer interaction function are the research focus in the future. (2) Skin nanomaterials are mainly composite materials, generally containing metal‐ and carbon‐based materials. Ionic gels, ionic liquids, hydrogels, and elastomers have become the focus of attention due to the sensitivity, multimodal, and memory properties of their materials. (3) Outstanding nanomaterials for bone are fibrous materials, metallic synthetic materials, and composite materials, with extremely high hardness, weight, and toughness. Of the skeletal materials, the choice of prosthetic socket material is the most important and is typically based on fiber laminate composites. Some of these materials make sensors for durability and performance that can be used for large‐scale clinical testing.
Research on Application Effective Evaluation of Artificial Intelligence Technology in Marketing Communication
Authors: Mo Limin , Yang Li
Published: March 2022

In order to solve the current problems of ignoring individual user differences, rising marketing costs, and customer churn in the crude marketing process, we combine deep machine learning technology and the long-term operational experience of Media Network Co. deep learning. By extracting features from the network data in image format, DNSI can obtain three kinds of neighbor structure influence. The optimal graph theory approach is used to construct user intelligence graphs, and then deep machine learning techniques are used to achieve accurate marketing in combination with different scenarios. Experimental results on several real-world network data sets for tasks such as node attribute prediction, category centrality measure, and user behavior prediction show the superiority of the model in most cases.
Prediction of Automobile Wiper Motor Noise Based on Support Vector Machine with Vibration Sensors
Authors: Li Haiqing , Cui Zhanhao , Wu Yudong , Ren Xiaguang , Zhao Ting
Published: March 2022

Wiper motor noise has an important impact on vehicle comfort. Accurate prediction of wiper motor noise can obtain motor NVH performance in motor manufacturing or earlier stage and provide necessary support for NVH performance design of parts and vehicles. However, the prediction accuracy of wiper motor noise by the traditional CAE or testing method is low. Data-driven technology provides a new idea for wiper motor noise prediction with its advantages of high efficiency and high precision. This paper studies the wiper motor noise prediction algorithm based on the motor vibration signal, respectively, using the transmission path analysis theory and the support vector machine theory, and carries on the test verification and comparative analysis of the effect. The results show that the method based on support vector machine is more accurate in the prediction of wiper motor noise and has higher practical engineering value.
Defluoridation of Water Using Aluminum Hydroxide Activated Carbon Biosorbents
Authors: Gebremariam Azmera Mezgebo , Asgedom Abraha Gebrekidan , Mekonnen Kebede Nigussie , Ashebir Mengstu Etay , Gebremikael Zenebe Hailu , Mesfin Kassa Amare
Published: March 2022

This study was aimed to investigate the efficiency of locally available low-cost and eco-friendly activated agricultural biosorbents produced from corncob and sorghum husk for the removal of fluoride from aqueous solution using batch adsorption. The activated biosorbents were characterized using SEM, XRD and FTIR spectroscopy. Effects of particle size (0.063–1.0 mm), contact time (15–120 min), pH (2–12), dose (2–10 g), and initial concentration (0.5–5.0 mg/L) were investigated. The morphology analysis revealed that biosorbents showed the presence of a high binding capacity for fluoride adsorption. The maximum adsorption was attained; size of the adsorbent 0.063 mm, pH 7, contact time 60 min, and 6 g dose of the biosorbents. Moreover, the adsorption kinetics followed the pseudo-second-order model and the adsorption isotherms fitted well to the Langmuir model. Furthermore, a field study was conducted using real water sample collected from Semema, Tigray, Ethiopia, and maximum fluoride removal was observed to be 79.44% and 77.05% for the activated carbons of Corncob and Sorghum husk at optimum conditions. Therefore, this experimental finding indicated that activated carbon of Corncob and Sorghum husk can be used as efficient, cheap, and eco-friendly biosorbents for the removal of fluoride from drinking water at community level.
Some Recent Modifications of Fixed Point Iterative Schemes for Computing Zeros of Nonlinear Equations
Authors: Sana Gul , Noor Muhammad Aslam , Ul Hassan Mahmood , Hammouch Zakia
Published: March 2022

In computational mathematics, it is a matter of deep concern to recognize which of the given iteration schemes converges quickly with lesser error to the desired solution. Fixed point iterative schemes are constructed to be used for solving equations emerging in many fields of science and engineering. These schemes reformulate a nonlinear equation f(s) = 0 into a fixed point equation of the form s = g(s) ; such application determines the solution of the original equation via the support of fixed point iterative method and is subject to existence and uniqueness. In this manuscript, we introduce a new modified family of fixed point iterative schemes for solving nonlinear equations which generalize further recursive methods as particular cases. We also prove the convergence of our suggested schemes. We also consider some of the mathematical models which are categorically nonlinear in essence to authenticate the performance and effectiveness of these schemes which can be seen as an expansion and rationalization of some existing techniques.
Quantitative Analysis Model of Chinese Folk Painting Art Inheritance and Protection Based on Data Mining
Authors: Shi Xian
Published: March 2022

Without powerful analytical tools, people will not be able to uncover the wealth of information hidden behind the data. In order to strip the information from the massive data, it is urgent to find a reasonable solution to deal with the challenge of information overload, and to develop an intelligent and automated alternative tool. Data mining technology transforms the original data into a form suitable for operation by integrating and learning data, extracting useful data for mining, and applying various strategies of data mining to generate useful patterns and rules. Based on this, people can make predictions on new sample data and obtain information. This paper analyzes and describes the problems faced by the inheritance of Chinese folk painting art, including the lack of knowledge of the inheritors, the single inheritance content, and the crisis of the inheritance method. In view of the problems faced by the inheritance of folk painting art, this paper proposes to inherit Chinese folk painting art from the aspects of value edification, rich content, and multiple forms. We analyze the different inheritance methods of contemporary national cultural inheritance and point out that different inheritance views have a certain influence on the formulation of cultural inheritance and the choice of inheritance methods. The preprocessing part of the original data is improved before the training on the data starts. By normalizing the order of magnitude of the original data, the values of the data are all in the same order of magnitude. Taking the least mean square algorithm and the BP neural network classification algorithm as the basic algorithm idea, using the rules of batch learning, and adding the momentum term factor, an improved batch learning BP algorithm is designed. The experimental results show that the improved batch learning BP algorithm can better solve the classification problem. Chinese folk painting art can satisfy people's spiritual and material needs, and also has a positive effect on promoting people's physical and mental development.
Effects of Prone Positioning for Patients with Acute Respiratory Distress Syndrome Caused by Pulmonary Contusion: A Single-Center Retrospective Study
Authors: Liu Xiaoyi , Liu Hui , Liu Shilian , Zhou Wenlai , Lan Qing , Duan Jun , Li Xue , Zheng Xiangde
Published: March 2022

Background. The effects of prone positioning (PP) on patients with acute respiratory distress syndrome (ARDS) caused by pulmonary contusion (PC) are unclear. We sought to determine the efficacy of PP among patients whose ARDS was caused by PC. Methods. A retrospective observational study was performed at an intensive care unit (ICU) from January 2017 to June 2021. ARDS patients with PaO2/FiO2 (P/F) < 150 mmHg were enrolled. During the study period, we enrolled 121 patients in the PP group and 117 in the control group. The changes in vital signs, laboratory tests, and compliance of the respiratory system (Crs) were recorded for 3 consecutive days. The mechanical ventilation time, duration of ICU stay, complications, extubation rate, 28-day ventilator-free days, and mortality were also recorded. Results. In the PP group, the P/F and Crs increased over time. Compared to the control group, the P/F and Crs improved in the PP group over 3 consecutive days (

P
<
0.05

). Furthermore, the PP group also had shorter total mechanical ventilation time (5.1 ± 1.4 vs. 9.3 ± 3.1 days,

P
<
0.05

) and invasive ventilation time (4.9 ± 1.2 vs. 8.7 ± 2.7 days,

P
<
0.05

), shorter ICU stay (7.4 ± 1.8 vs. 11.5 ± 3.6days,

P
<
0.05

), higher extubation rate (95.6% vs. 84.4%,

P
<
0.05

), less atelectasis (15 vs. 74,

P
<
0.05

) and pneumothorax (17 vs. 24,

P
>
0.05

), more 28-day ventilator-free days (21.6 ± 5.2 vs. 16.2 ± 7.2 days,

P
<
0.05

), and lower mortality (4.4% vs. 13.3%,

P
<
0.05

). Conclusions. Among PC cases with moderate to severe ARDS, PP can correct hypoxemia more quickly, improve Crs, reduce atelectasis, increase the extubation rate, shorten mechanical ventilation time and length of ICU stay, and reduce mortality.
To Summarize and Analyze the Epidemiological Characteristics and Prognostic Risk Factors of Patients with Pelvic Fracture Complicated with Perineal Injury
Authors: Li Wen , Du Shasha , Guo Houcai , Han Xuan , Huang Tao
Published: March 2022

This study is aimed at summarizing and analyzing the epidemiological characteristics and prognostic risk factors of patients with a pelvic fracture with perineal injury. The clinical data of 153 patients with pelvic fracture with perineal injury treated in our hospital from January 2012 to June 2021 were analyzed retrospectively. The data of sex, age, injury mechanism, pelvic fracture type, shock index (SI), perineal wound depth, concomitant injury, total hospital stay, and death were collected by the electronic medical record system. Among the 153 patients, there were 94 males and 59 females, with an average age of (43.2 ± 16.8) years. The cases were mainly concentrated into two age groups: 20–29 years old and 50–59 years old. In a year, pelvic fractures were mainly concentrated in 1–2 months and 11–12 months. In terms of injury time, there were mainly two periods of time in a day: 10 : 00～12 : 00 and 15 : 00～18 : 00. The MOTS-RTS scores of the patients in the undead group and the dead group were (7.12 ± 1.52), (2.69 ± 0.96), ISS scores were (27.36 ± 15.84), (61.32 ± 7.08), GCS scores were (12.84 ± 3.69), (4.13 ± 1.25), APACH II scores were (12.87 ± 8.84), (32.41 ± 6.98), and SOFA scores were (6.68 ± 5.87), (17.12 ± 3.12). The MOTS-RTS and GCS scores of the nondeath group were significantly higher, while the ISS score, APACH II score, SOFA score, and shock index were significantly lower. The overall mortality rate of 153 patients was 13.7%. The average area of perineal trauma in undead and dead patients was (54.5 ± 113.52) cm2 and (262.63 ± 300.84) cm2, respectively. The average depth of perineal trauma was (9.63 ± 7.22) cm and (16.23 ± 10.13) cm, respectively. The larger the area of perineal injury and the deeper the depth of perineal trauma, the worse their prognosis. Cox multivariate analysis showed that complications, MOTS-RTS score, ISS score, GCS score, perineal trauma area, and perineal trauma depth were independent risk factors affecting the prognosis of patients with pelvic fracture with perineal injury. Most of the patients with pelvic fracture complicated with perineal injury are 20–29 years old and 50–59 years old. The more serious the perineal injury is, the higher the mortality is. The main causes of death are refractory hemorrhagic shock and infection.
Global COVID-19 Epidemic Prediction and Analysis Based on Improved Dynamic Transmission Rate Model with Neural Networks
Authors: Ding Yanyu , Li Jiaxing , Song Weiliang , Xie Xiaojin , Wang Guoqiang
Published: March 2022

The cross-regional spread of COVID-19 had a huge impact on the normal global social order. This paper aims to build an improved dynamic transmission rate model based on the conjugate gradient neural network predicting and analyzing the global COVID-19 epidemic. First, we conduct an exploratory analysis of the COVID-19 epidemic from Canada, Germany, France, the United States, South Korea, Iran, Spain, and Italy. Second, a two-parameter power function is used for the nonlinear fitting of the dynamic transmission rate on account of data-driven approaches. Third, we correct the residual error and construct an improved nonlinear dynamic transmission rate model utilizing the conjugate gradient neural network. Finally, the inflection points of the global COVID-19 epidemic and new outbreaks, as well as the corresponding existing cases are predicted under the optimal sliding window period. The experimental results show that the model presented in this paper has higher prediction accuracy and robustness than some other existing methods.
Application of Virtual Reality with Positive Psychology in Adjusting Methods of College Students’ Mental Health
Authors: Gao Changfeng , Li Xiaojun , Peng Juan , Liu Meichen
Published: March 2022

Psychological education is an important part of modern education, and all walks of life attach great importance to the mental health of college students. At present, under the background of virtual reality (VR) technology era, it is necessary to further enrich the ways and methods of mental health education and improve the effectiveness of mental health education. Combining positive psychology theory with VR technology, this paper discusses the advantages and ways of applying positive psychology and VR technology in mental health work in colleges and universities. This paper expounds the basic content and theoretical basis of positive psychology and enlightens the future development direction of college students’ mental health education with the theory of positive psychology. Through data mining, this paper explores the rules and characteristics of college students’ mental health, digs out the potential relationships among various factors affecting mental health and puts forward the methods to solve psychological problems using VR technology in combination with cognitive theory and chaos theory. I hope to make some contributions to the field of mental health.
Dual-Directional Regulation of Belamcanda chinensis Extract on Ovalbumin-Induced Asthma in Guinea Pigs of Different Sexes Based on Serum Metabolomics
Authors: Liu Jun , Zhu Jinghe , Jiang Hong , Zhang Shiliang , Tang Si , Yang Rui , Dong Xiaoqian , Zhang Liyan
Published: March 2022

To explore the potential biomarkers and metabolic pathways underlying the anti-asthma effects of Belamcanda chinensis extract, this study established an ovalbumin-induced allergic bronchial asthma model in guinea pigs. Sixty guinea pigs were randomly divided into the blank control group, model control group, Belamcanda chinensis extract groups (0.8 g/kg, 1.2 g/kg, 1.6 g/kg, respectively), and dexamethasone acetate tablet group (0.5 mg/kg). Starting on the 22nd day, the drugs were administered by gavage for seven consecutive days. Serum and bronchoalveolar lavage fluid (BALF) were collected. The levels of IL-4 and IgE in the serum and IFN-γ and TNF-α in the BALF were detected by ELISA. UPLC-MS was combined with multivariate statistical analyses, including partial least squares discriminant analysis (PLS-DA), and differential metabolites between groups were identified. Metabolic pathway analysis was performed by querying the KEGG (Kyoto Encyclopedia of Genes and Genomes) online database. Female and male guinea pigs were analyzed. The results showed that compared with the model group, the IgE and IL-4 serum levels were significantly decreased in the 1.6 g/kg group, and the IFN-γ level in the BALF was significantly increased. The TNF-α level was significantly decreased in the 1.2 g/kg and 1.6 g/kg groups. There were 39 common differential metabolites among females and males, and 37 differential metabolites showed opposite regulatory trends in the serum of guinea pigs with asthma and after treatment, mainly involving 17 metabolic pathways, such as pantothenate and CoA biosynthesis, the arachidonic acid mechanism, and glycerophospholipid metabolism. Belamcanda chinensis extract improved OVA-induced asthma, as determined based on immune mechanisms, inflammation, nerve metabolism, and energy metabolism. The serum levels of metabolites produced by the model animals exhibited distinct sex-specific differences, and the treatment effect of Belamcanda chinensis extract also showed sex-specific differences and bidirectional regulation.
Multicenter Randomized Controlled Trial Comparing the Contribution of Proxabrushes with Regular Toothbrushes and Only Regular Toothbrushes to the Oral Health of Thai Elderly
Authors: Gururatana Orachad , Vejvithee Warangkana , Ekpatcha Narisa
Published: March 2022

Context. Poor oral hygiene results in oral diseases, potentially leading to serious consequences such as problems with chewing, biting, and swallowing in the elderly. In order to achieve good oral health, effective plaque control is vitally important. Objective. The aim of this two-group experimental study was to explore the effects of proxabrush on Thai elderly oral health. Design and Setting. Multicenter randomized controlled trial, parallel grouped, open label, blocked randomization was used at each province to allocate treatment. The study was conducted at public hospitals in 16 provinces in Thailand between November 2019 and January 2020. Methods. Participants in the test group used proxabrushes and regular toothbrushes, and participants in the control group used only regular toothbrushes for 6 weeks. Plaque accumulation, gingival status, and oral healthcare data were collected at baseline and at 6-week follow-up. Clinical oral health examiner was blinded to group assignment. Randomization was computer-generated, with allocation concealment by opaque sequentially number sealed envelopes. Data analysis compared plaque and gingival indices between the test and control groups. Results. A total of 510 elderly with at least 20 natural teeth and interdental spaces were randomized (test n = 255; control n = 255), and 35 were excluded from analysis because of early drop out leaving 239 in the test group and 236 in the control group. A sample of 475 aged between 60 and 91 years participated in the study; 158 (33.3%) were males and 317 (66.7%) were females. The results revealed that, compared to baseline knowledge, attitude and practice were improved at follow-up for both the test and control groups (p < 0.05). At follow-up, the independent-samples t-test compares the test group plaque index mean of 0.49 (SD 0.44) to the control group mean of 0.60 (SD 0.56); a mean difference of 0.11 (95% CI 0.02 to 0.20) obtained demonstrated statistical significance (p = 0.014), and comparing the test group gingival index mean of 0.52 (SD 0.50) to the control group mean of 0.65 (SD 0.60), a mean difference of 0.13 (95% CI 0.03 to 0.23) obtained demonstrated statistical significance (p = 012). At follow-up, the test group had lower plaque accumulation and better gingival status than the control group. Gender, medical problems, educational level, occupation, and age were not different between the test and control groups. A combination of daily proxabrush and regular toothbrush use yielded significant benefits over regular tooth-brushing alone. Conclusions. In conclusion, proxabrush has been found to be an effective interdental cleaning aid among Thai elderly. This trial is registered with TCTR20220127004.
Stability Analysis of “Support-Surrounding Rock” System for Fully Mechanized Longwall Mining in Steeply Dipping Coal Seams
Authors: Luo Shenghu , Wang Tong , Wu Yongping , Huangfu Jingyu
Published: March 2022

The key to safe and efficient longwall mining of steeply dipping seams lies in the stability control of the “support-surrounding rock” system. This study analyzes the difficulties encountered when controlling the stability of the support during the longwall mining process of steeply dipping coal seams in terms of the characteristics of the nonuniform filled-in gob using a combination of physical tests, theoretical analyzes, and field measurements. Considering the floor as an elastic foundation, we built a “support-surrounding rock” mechanical model using data obtained on support-surrounding rock systems in different regions and the laws of support motion under different load conditions. Our findings are summarized as follows: first, depending on the angle of the coal seam, the caving gangue rolls (slide) downward along the inclined direction, resulting in the formation of a nonuniform filling zone in the deep gob where the lower, middle, and upper sections are filled, half-filled, and empty, respectively. In addition, an inverted triangular hollow surface is formed on the floor of the gob in the middle and upper sections behind the support. Furthermore, as the angle of the coal seam, length of the working face, and mining height increase, the characteristics of the nonuniform filled-in gob are enhanced. Second, we found that because of the gangue support, the “support-surrounding rock” system is relatively stable in the lower part of the working face; however, in the middle and upper sections of the working face, the contact method and loading characteristics of the support are more complicated, making stability control difficult. Third, the magnitude and direction of the load, action point, and mining height affect the stability of the support to varying degrees, with the tangential load and action position of the roof load having the most significant impacts on the stability of the support. Under loading by the roof, rotation and subsidence of the support inevitably occur, with gradually increasing amplitudes and effects on the intersupport and sliding forces. Finally, we found that overall stability can be achieved by adopting measures involving “sliding advancement of supports” and applying a “down-up” removal order. These research results serve as a significant reference and guidance for longwall mining applications.
Inhibitory Potential of Shen-Shuai-Ling Formulation on Renal Interstitial Fibrosis via Upregulation of PLZF
Authors: Song Na , Tu Haitao , Li Ying , Xiong Weijian , Zhang Ling , Liu Hong , Ding Weisen , Long Mei , Ren Dewei , Zhong Jin
Published: March 2022

Background. Renal interstitial fibrosis (RIF) is an important cause of kidney disease, which seriously affects people’s health. As a traditional Chinese medicine, Shen-Shuai-Ling Formulation (SSLF) has obvious kidney function. However, the therapeutic effect of SSLF on RIF and its molecular mechanism are still unclear. Methods. First, the potential targets and pathways of SSLF for RIF were predicted by network pharmacology, and then, the binding of luteolin and target protein to SSLF was verified by molecular docking and Co-IP experiments. Finally, the effects of SSLF and luteolin on PLZF and (Pro) renin receptor (PRR) were verified by western blot and qPCR experiments. Angiotensin (Ang)-1, Ang-2, and transforming growth factor-β (TGF-β) were the indexes of renal interstitial fibrosis. Results. Through the drug-active component-target network diagram, we found that luteolin has the most connections, and promyelocytic leukemia zinc finger (PLZF) is the target protein. GO analysis and KEGG pathway analysis of targets were performed using Cytoscape ClueGO. Molecular docking experiments and Co-IP are used to prove that luteolin and PLZF can be combined. Western blot and qPCR results showed that both SSLF and luteolin significantly upregulated the expression of PLZF and decreased the levels of PRR, Ang-1, Ang-2, and TGF-β. The overexpression of PLZF decreased the expression of PRR, the knockdown of PLZF increased the expression of PRR, and the overexpression of PRR decreased the expression of Ang-1, Ang-2, and TGF-β. Conclusions. SSLF inhibits PRR and renal interstitial fibers by the upregulation of PLZF levels.
Research and Implementation of Intelligent Home Pension System Based on Speech and Semantic Recognition
Authors: Xie Guokun , Hao Sen , Zhang Peipei , Wang Ningning
Published: March 2022

In order to study the current intelligent home pension system control technology, the new voice interaction technology is applied to the existing intelligent home pension system, and a multicontrol entry intelligent home pension system method is proposed. In this method, data transmission, instruction uploading, and receiving are completed by designing the communication interface of home appliance terminal to build the wireless intelligent home communication subsystem, and the voice module of IfI is adopted. The intelligent cloud is selected as the development cloud platform, and the related hardware is selected to realize the remote data communication. It has been proved that the key technology of speech recognition has been developed rapidly, the speech recognition rate has been improved (up to 97%) and the low-power speech wake up technology had breakthrough, the use of voice interaction is gradually expanding to intelligent hardware and robots, and voice interaction is undoubtedly the mainstream intelligent home pension system interaction mode after keyboard, mouse, and touch screen and also the main entrance of the future intelligent home pension system.
Safety of Vasopressor Medications through Peripheral Line in Pediatric Patients in PICU in a Resource-Limited Setting
Authors: Abrar Saira , Abbas Qalab , Inam Maha , Khan Iraj , Khalid Farah , Raza Syed
Published: March 2022

Objective. Central venous catheter (CVC) placement in children in resource-limited settings (RLSs) can be a difficult task. Timely administration of vasopressor medications (VMs) through peripheral intravenous line (PIV) can help overcome this limitation. We aim to determine the safety of administration of vasopressor medications through PIVs in children admitted to pediatric intensive care unit (PICU) in a RLS. Design. Prospective observational study. Setting. An eight-bedded PICU of a tertiary care hospital. Patients. Children aged 1 month to 18 years admitted to the PICU. Intervention. None. Measurements and Main Results. All children (aged 1 month–18 years) who received VMs through PIV line from January 2019 to December 2019 were prospectively followed for the development of extravasation, conversion to CVC, duration of infusion, maximum dose of VMs used, maximum vasopressor inotropic score (VIS), and coadministration of vasopressor medication through PIV line. Results are presented as means with standard deviation and frequency with percentages. A total of 369 patients were included in the study, 221 (59.9%) were males, and the median age of the study population was 24 months (IQR; 6–96). Epinephrine was the most frequently used vasopressor medication (n = 279, 75.6%), followed by milrinone (n = 93, 25.2%), norepinephrine (n = 42, 11.4%), and dopamine (n = 32, 8.7%). The maximum dose of vasopressor medication was 0.25 µg/kg/min (epinephrine), 0.2 µg/kg/min (norepinephrine), 15 µg/kg/min (dopamine), and 0.8 µg/kg/min (milrinone). Extravasation was observed in 8 (2.2%) patients, while PIV line was converted to CVC in 127 (34.4%) children. Maximum dose of epinephrine, norepinephrine, VIS score, and PRISM Score was associated with conversion to CVC (p < 0.001), while none of them was associated with risk for extravasation. Conclusion. Vasopressor medication through PIV line is a safe option in patients admitted to the PICU.
Er-Chen Decoction Alleviates High-Fat Diet-Induced Nonalcoholic Fatty Liver Disease in Rats through Remodeling Gut Microbiota and Regulating the Serum Metabolism
Authors: Miao Jing , Guo Liying , Cui Huantian , Wang Li , Zhu Bo , Lei Jinyan , Li Peng , Jia Jianwei , Zhang Zhaiyi
Published: March 2022

Many studies have found that the dysfunction in gut microbiota and the metabolic dysfunction can promote nonalcoholic fatty liver disease (NAFLD) development. Er-Chen decoction (EC) can be used in the treatment of NAFLD. However, the mechanism of this hepatoprotection is still unknown. In this study, we constructed a rat model with NAFLD fed with high-fat chow and administered EC treatment. The therapeutic effects of EC on NAFLD were evaluated by measuring transaminases, blood lipid levels, and pathological changes in the liver. In addition, we measured the effects of EC on liver inflammatory response and oxidative stress. The changes in gut microbiota after EC treatment were studied using 16S rRNA sequencing. Serum untargeted metabolomics analysis was also used to study the metabolic regulatory mechanisms of EC on NAFLD. The results showed that EC decreased the serum transaminases and lipid levels and improved the pathological changes in NAFLD rats. Furthermore, EC enhanced the activities of SOD and GSH-Px and decreased MDA level in the liver. EC treatment also decreased the gene and protein levels of IL-6, IL-1β, and TNF-α in the liver and serum. The 16S rRNA sequencing and untargeted metabolomics indicated that EC treatment affected the gut microbiota and regulated serum metabolism. Correlation analysis showed that the effects of EC on taurine and hypotaurine metabolism, cysteine and methionine metabolism, and vitamin B6 metabolism pathways were associated with affecting in the abundance of Lactobacillus, Dubosiella, Lachnospiraceae, Desulfovibri, Romboutsia, Akkermansia, Intestinimonas, and Candidatus_saccharimonas in the gut. In conclusion, our study confirmed the protective effect of EC on NAFLD. EC could treat NAFLD by inhibiting oxidative stress, reducing inflammatory responses, and improving the dysbiosis of gut microbiota and the modulation of the taurine and hypotaurine metabolism, cysteine and methionine metabolism, and vitamin B6 metabolism pathways in serum.
Effects of Traditional Chinese Medicine Anticancer Decoction Combined with Basic Chemotherapy and Nursing Intervention on Oral Cancer Patients after Surgery and Its Effect on Tumor Markers and Immune Function
Authors: Jiang Dan , Xiao Fengying , Liu Lihua , Meng Zhen , Zhang Chengwei
Published: March 2022

Objective. To prospectively study the application effect of traditional Chinese medicine (TCM) anticancer decoction with basic chemotherapy and nursing intervention on oral cancer patients after surgery and the effect on tumor markers and immune function. Methods. Eighty‐four postoperative oral cancer patients in our hospital from May 2017 to February 2019 were selected and divided into observation group (42 cases) and control group (42 cases). The control group was treated with basic chemotherapy combined with basic nursing care, and the observation group was treated with TCM anticancer decoction and comprehensive nursing intervention on the basis of the control group. The clinical efficacy, the occurrence of adverse reactions, the satisfaction of nursing care, and the two‐year cumulative survival rate of the two groups were compared. The immune function, tumor marker level, VAS score, QoR40 score, and survival quality score of the two groups were compared before and after nursing care. Results. The total clinical treatment efficiency of the observation group (88.10%) was significantly higher than that of the control group (69.05%), and the differences between the two groups in oral cleanliness, aspiration frequency, and oral comfort were statistically significant (P < 0.05). The differences in the occurrence of halitosis, oral fungal infection, leukopenia, gastrointestinal reaction, and fever in the observation group were statistically significant compared with the control group (P < 0.05). The nursing satisfaction rate in the observation group (95.24%) was significantly higher than that in the control group (78.57%). The two‐year cumulative survival rate of the observation group (92.86%) was significantly higher than that of the control group (73.81%). After nursing care, CD4+, CD4+/CD8+, VAS scores, QoR40 scores, and quality of survival scores in both groups all increased, and CD8+, CD56+, CEA level, NSE level, and CA19‐9 level all decreased (all P < 0.05). Conclusion. The clinical efficacy of TCM anticancer decoction with basic chemotherapy and nursing interventions in the treatment of postoperative oral cancer patients was remarkable, which could significantly improve patients’ oral cleanliness and comfort, reduce the frequency of sputum aspiration, improve patients’ immunity, reduce tumor marker levels, inhibit tumor activity, improve patients’ nursing satisfaction, further improve patients’ treatment compliance, reduce patients’ pain level, improve patients’ survival quality, and prolong patients’ survival time with high safety. It could be used as a theoretical basis for subsequent clinical research.
Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
Authors: Liu Hai , Wang Shulin , Zhao Donghong
Published: March 2022

In this paper, an enhanced algorithm based on the Super4PCS algorithm was established to address the problem of prolonged congruent set verification of Super4PCS for point clouds with many points or low overlap. By comparing normals of corresponding points in a source point cloud and a tentatively transformed target point cloud, this approach dramatically decreases the time required for candidate transformation verification. This strategy has been shown to improve registration efficiency in experiments.
(Q, T)‐affine‐periodic solutions and Pseudo (Q, T)‐affine‐periodic solutions for Dynamic Equations on Time Scales
Authors: Guo Ruichao , Jiang Xiaomeng , Wang Hongren
Published: March 2022

The aim of this paper is to study the existence of (Q, T)‐affine‐periodic solutions for affine‐periodic systems on time scales of the type xΔ(t) = A(t)x(t) + f(t) and , assuming that corresponding homogeneous equation of this system admits exponential dichotomy. The result is also extended to the case of pseudo (Q, T)‐affine‐periodic solutions. The main approaches are based on the Banach contraction mapping principle, but certain technical aspects on time scales are more complicated.
Deep Neural Network-Based Business Data Classification in Intelligent Business Management
Authors: Wang Bihong
Published: March 2022

The purpose of this paper is to explore how intelligent data mining technology can be used to improve the customer service capability of commercial companies. Based on extensive research on commercial business, this paper uses data mining and machine learning techniques to build an overall framework for applying intelligent technologies to business improvement, and uses multilayer perceptrons and integrated learning algorithms to build classifiers for customer segmentation; uses association rule mining to assist commercial companies in business decisions; uses clustering algorithms and visualization techniques to further analyze claims cases and assist in commercial fraud detection. The multilayer perceptron classification makes the classification of commercial customers more detailed and reasonable, and the company’s business staff can sell products in a more targeted manner; association rule mining greatly improves the quality and efficiency of the company’s management’s decision making.
Correlation of ICU Nurses’ Cognitive Level with Their Attitude and Behavior toward the Prevention of Ventilator-Associated Pneumonia
Authors: Chen Sujun , Hua Li , Jin Qianqian , Wang Hezhuo
Published: March 2022

Objective. To analyze the correlation of ICU nurses’ cognitive level with their attitude and behavior toward the prevention of ventilator-associated pneumonia (VAP). Methods. A total of 90 ICU nurses working in the adult internal medicine ICU, adult surgery ICU, subacute respiratory care ward, etc. from January 2018 to June 2019 were chosen as the subjects to carry out questionnaire survey with the cognition scale, and the correlation analysis on their cognitive level, attitude, and behavior toward the prevention of VAP was conducted. Results. The linear fitting analysis finding showed that the cognitive level presented a positive correlation with the attitude score and behavior score (R2 = 0.668, 0.734). Conclusion. Improving ICU nurses’ cognitive level, attitude, and behavior toward preventing VAP is conducive to the upgrade of their quality of nursing services. In addition, the ICU nurses’ cognitive level is positively correlated with their attitude and behavior.
Visual Analysis of English Teaching Model Based on Scientific Programming
Authors: Hu Lu
Published: March 2022

In order to continuously enrich the connotation of teachers’ teaching ability in the context of the deep integration of information technology and English teaching, thus changing the relationship between the important elements of college English teaching ecology, a visual analysis of English pronunciation teaching mode based on speech recognition technology is proposed, with the support of Internet technology, designed and implemented a visual analysis platform for English phonetic transcription-assisted learning, introduced two types of random graph models G(n, p) and G(n, M), and then introduced the concept of phase transition. A research model is established, using the algorithm of generating random graphs and the Hamiltonian circuit logic program to point out that the critical function value of G(n,p) existence loop is

p
=
1
/
n

. The test results show that the platform can basically meet the requirements.
Bioinspired Techniques in Freeze Casting: A Survey of Processes, Current Advances, and Future Directions
Authors: Chadha Utkarsh , Selvaraj Senthil Kumaran , Ravinuthala Abhishek Krishna , Maddini Yashwanth , Arasu Kaviya , Yadav Shreya , Kumari Oshi , Pant Sampada , Paramasivam Velmurugan
Published: March 2022

Freeze casting, popularly known as ice templating or freeze gelation, is a mechanical method to fabricate scaffolds of desirable properties and materials. Aerospace engineering, the healthcare sector, manufacturing department, and automotive industries are the different fields where freeze casting has been used. Bioinspiration refers to the translation of biological systems into new and innovative creations. Bioinspired materials are extensively used in freeze casting methods such as ceramide, spines of porcupine fish, and collagen. Due to the tunable properties and production of complex structures with ease, biomaterials have found numerous applications in the ice templating method. This review rigorously explains the freeze casting process and the effect of thermal conductivity, stress, and electrostatic repulsion on the porous materials. Also, we have discussed the different biomaterial polymers used in freeze casting along with different methods involved.
Socioeconomic and Demographic Contexts of Brazilian and International University Students Regarding the Use of Dental Services
Authors: Ferreira da Silva Cosmo Helder , Costa Edmara Chaves , Melo Leite Ana Caroline Rocha de , Nascimento Vânia Barbosa do
Published: March 2022

This article characterizes the different socioeconomic and demographic contexts regarding the use and access to dental services by Brazilian and African students at a Brazilian university of international nature. This is a cross-sectional, analytical, observational study with a quantitative approach, with data produced by 350 students from a public university in the state of Ceará. Sociodemographic and economic factors, participation in educational activities, self-perception of oral health, and use of dental services by academics were analyzed. The results obtained indicated that of the university students participating in the study, 74.0% had already used dental services, of which 57.43% were Brazilian and 42.57% international. There was a significant association between being a Brazilian academic and having already used dental services, having an income less than or equal to the minimum wage, and having used the public dental service. The determination of the prevalence of use of dental services and the different contexts of university students can assist in planning future actions in oral health that prioritize groups of university students with greater difficulties in the use and access of these services.