bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving the Catalytic Activity of (Ba0.95La0.05)(Fe0.8Zn0.2)O3−δ
Protonic Ceramic Fuel Cell Cathodes by Cation Substitution
Authors: Kim Soon Ki , Yoo Seok Gyun , Park Jong-Sung
Published: June 2022

(Ba0.95La0.05)(Fe0.8Zn0.2)O3-δ
(BLFZ) is a good candidate for protonic ceramic fuel cell cathodes owing to its high proton concentration and decent electronic conductivity. However, the poor catalytic activity of BLFZ limits the electrochemical reaction on the cathode surface, resulting in poor fuel cell performance in hydrocarbon fuels. In this study, to enhance the catalytic activity of BLFZ, Fe cations were substituted with cobalt (Co) cations to synthesize (Ba0.95La0.05)(Co
x
Fe0.8-x
Zn0.2)O3−δ
(BLCFZ) (x = 0–0.8). A single-phase perovskite structure was obtained when the mol% of Co (x) was 0.2 and 0.4, while secondary phases were observed at x = 0.6 and 0.8. The cathode performance was improved by doping Co into BLFZ. The polarization resistances of the fuel cell with BLCFZ (x = 0.2) in H2 and CH4 fuels at 600 °C were smaller than those of the fuel cell with BLFZ (x = 0) and the power density in H2 fuel at 600 °C increased from 0.7 to 0.9 Wcm−2. Equivalent circuit models were used to analyze the contribution of Co in improving the catalytic activity of the cathode.
Cystinosin-deficient rats recapitulate the phenotype of nephropathic cystinosis
Authors: Hollywood Jennifer A. , Kallingappa Prasanna K. , Cheung Pang Yuk , Martis Renita M. , Sreebhavan Sree , ‘Atiola Robert D. , Chatterjee Aparajita , Buckels Emma J. , Matthews Brya G. , Lewis Paula M. , Davidson Alan J.
Published: June 2022

Animal models of disease are essential to perform preclinical testing of new therapies before they can progress to clinical trials. The cystinosis field has been hampered by a lack of suitable animal models that fully recapitulate the disease. Here, we generated a rat model of cystinosis that closely models the human condition in a timeframe that makes them an excellent model for preclinical drug testing as well as being a powerful tool to advance research.
Motion Capture and Dance Image Discrimination Based on Silent Positioning Algorithm
Authors: Zhu Lin
Published: June 2022

The silent location algorithm of the sensor network is a time synchronization location algorithm that can serve multiple users. Based on the detailed analysis of the development status of human motion measurement technology, this paper proposes a design of human motion capture device based on sensor network and realizes data conversion and filtering through experimental design. In this experiment, the sensor data processing is used to capture the human body positioning information in real time. The established node does not need to make a sound during the whole process and, at the same time, has strong concealment and easy expansion. In the silent positioning algorithm for sensor network nodes, combined with the sound ray tracking technology, the correction parameters are controlled according to the change of the objective function, and the effectiveness of the method is verified by simulation analysis. In terms of motion capture, the system can monitor, detect, and record human motion in real time. In order to obtain more high-resolution dance images with high-definition details and correspondingly process the dance images to improve the resolution, this paper uses the silent positioning algorithm technology to study the image resolution, and this is of great help to improve the resolution.
Predictive Analysis of User Behavior Processes in Cross-Border E-Commerce Enterprises Based on Deep Learning Models
Authors: Yan Li
Published: June 2022

Currently, the global consumer market is moving toward digitalization, and cross-border e-commerce enterprises are no exception and have to make adjustments in their operational strategies. Digitalization brings complexity, dynamism, and fragmentation in sales channels, media environment, and consumer behavior, requiring cross-border e-commerce enterprises to react more quickly and timely, and the need for intelligent operations is becoming more and more urgent. In this paper, through the problem of predicting the e-commerce user behavior process, the model usually needs to focus on both long-term preferences and short-term preferences of e-commerce users in the current behavior sequence; otherwise, the behavior prediction will be much less effective. Specifically, through a comprehensive analysis of typical cases, the strategies and problems in the intelligent operation process of China’s cross-border e-commerce enterprises at the present stage are discussed, and corresponding suggestions are put forward, so as to promote the rapid development of China’s cross-border e-commerce enterprises.
A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries
Authors: Ali Muhammad Umair , Zafar Amad , Masood Haris , Kallu Karam Dad , Khan Muhammad Attique , Tariq Usman , Kim Ye Jin , Chang Byoungchol
Published: June 2022

In this paper, a novel multistep ahead predictor based upon a fusion of kernel recursive least square (KRLS) and Gaussian process regression (GPR) is proposed for the accurate prediction of the state of health (SoH) and remaining useful life (RUL) of lithium-ion batteries. The empirical mode decomposition is utilized to divide the battery capacity into local regeneration (intrinsic mode functions) and global degradation (residual). The KRLS and GPR submodels are employed to track the residual and intrinsic mode functions. For RUL, the KRLS predicted residual signal is utilized. The online available experimental battery aging data are used for the evaluation of the proposed model. The comparison analysis with other methodologies (i.e., GPR, KRLS, empirical mode decomposition with GPR, and empirical mode decomposition with KRLS) reveals the distinctiveness and superiority of the proposed approach. For 1-step ahead prediction, the proposed method tracks the trajectory with the root mean square error (RMSE) of 0.2299, and the increase of only 0.2243 RMSE is noted for 30-step ahead prediction. The RUL prediction using residual signal shows an increase of 3 to 5% in accuracy. This proposed methodology is a prospective approach for an efficient battery health prognostic.
Research on the Correlation between Information and Communication Technology Development and Consumer Spending Based on Artificial Intelligence and Time Series Econometric Model
Authors: Fan Chaozhi , Law Siong Hook , Ibrahim Saifuzzaman , Naseem N. A. M.
Published: June 2022

In order to explore the correlation between ICT development and consumer spending, this paper uses artificial intelligence and time series econometric models to study the correlation between ICT development and consumer spending. Moreover, this paper organically combines the advantages of wavelet analysis and hidden Markov model to construct a wavelet domain hidden Markov chain model. It is used to examine the flow of information on different scales related to the development of communication technology and consumer spending, so as to infer the potential mechanism of the interaction of different traders’ behaviors from the other side. Through cluster analysis, it can be seen that the correlation analysis method of information and communication technology development and consumption expenditure based on artificial intelligence and time series econometric model proposed in this paper has certain reliability. At the same time, there is a strong correlation between the development of communication technology and consumer spending.
Study on Tunnel Air Curtain Insulation System for Cold Areas
Authors: Gao Yan , Zhu Zhengguo , Ding Yunfei , Geng Jiying , Bao Xu , Zhou Jun
Published: June 2022

With the growing number of tunnels in high‐latitude and high‐altitude areas, freezing damage is all the more obvious. In traditional insulation layer method, insulation layer is laid in the tunnel to prevent invasion of cold air by taking advantage of its low thermal conductivity. However, due to its narrow temperature adaptation range and high construction and maintenance costs, this method cannot completely solve the problem of tunnel freezing damage. To solve this problem, this paper proposes tunnel air curtain insulation system which can generate electricity using solar energy. Based on parameters such as indoor air temperature and wind velocity in the thermal insulation room, on the one hand, it intelligently controls running sets of air curtain, jet flow angle, and velocity, prevents invasion of the external cold temperature into the tunnel, so that the tunnel maintains an interior temperature above 0°C. On the other hand, it intelligently diagnoses air curtain machine to provide system fault warning, so that the system keeps safe and reliable operation. The results show that air curtain technology can effectively solve the problem of tunnel freezing damage in cold areas; multiple air curtains in series connection provide better barrier efficiency. From the measured data and calculation results of Lafashan tunnel, it can be seen that an air curtain is installed at the tunnel portal with jet speed of 22.7 m/s and temperature of 35.24°C, which can meet the tunnel without freezing damage when the external temperature is −10°C, and the external wind speed is 2 m/s, providing a new method for tunnel insulation technology in cold area.
Tumor Microenvironment: Lactic Acid Promotes Tumor Development
Authors: Gao Yuting , Zhou Hao , Liu Gege , Wu Junlu , Yuan Yi , Shang Anquan
Published: June 2022

Lactic acid is a “metabolic waste” product of glycolysis that is produced in the body. However, the role of lactic acid in the development of human malignancies has gained increasing interest lately as a multifunctional small molecule chemical. There is evidence that tumor cells may create a large amount of lactic acid through glycolysis even when they have abundant oxygen. Tumor tissues have a higher quantity of lactic acid than normal tissues. Lactic acid is required for tumor development. Lactate is an immunomodulatory chemical that affects both innate and adaptive immune cells’ effector functions. In immune cells, the lactate signaling pathway may potentially serve as a link between metabolism and immunity. Lactate homeostasis is significantly disrupted in the TME. Lactate accumulation results in acidosis, angiogenesis, immunosuppression, and tumor cell proliferation and survival, all of which are deleterious to health. Thus, augmenting anticancer immune responses by lactate metabolism inhibition may modify lactate levels in the tumor microenvironment. This review will evaluate the role of lactic acid in tumor formation, metastasis, prognosis, treatment, and histone modification. Our findings will be of considerable interest to readers, particularly those engaged in the therapeutic treatment of cancer patients. Treatments targeting the inhibition of lactate synthesis and blocking the source of lactate have emerged as a potential new therapeutic option for oncology patients. Additionally, lactic acid levels in the plasma may serve as biomarkers for disease stage and may be beneficial for evaluating therapy effectiveness in individuals with tumors.
Design and Implementation of Human Motion Monitoring System on Account of Intelligent Computing of Internet of Things
Authors: Liu Yufei , Zhao Lin
Published: June 2022

The era of big data network represented mainly by the Internet of Things is limited by various factors such as various environments, volumes, and calculations. This paper proposes and studies a human motion detection system based on the intelligent computing of the Internet of Things, which can effectively detect the daily motion of the human body. In the era of the Internet of Things, this paper designs and develops a human motion detection system based on the Internet of Things technology and intelligent computing and explores the law of normal human motion. This paper also analyzes the design ideas and technical advantages of the human motion detection system from many aspects. This research is a human motion detection system designed and developed under the comprehensive use of Internet of Things technology and intelligent computing technology, which can effectively detect the actual situation of the human body in the state of motion. Experimental results show that the overall accuracy of the system for monitoring and recognizing human walking is 96.91%, and the overall accuracy of monitoring and recognizing human jogging is 97.18%. It monitors and recognizes human jogging with an overall accuracy rate of 97.96%. It has great practical significance.
The Effect of Fine-Grained Control of Workflow on Informal Learning: The Mediating Effect of Teacher Burnout
Authors: Lu Zenghui , Chen Yanning
Published: June 2022

Workflow fine control is an important research tool for the mediating effect of teacher burnout. Based on the fine control theory of workflow, this paper constructs a mediating effect model of teacher burnout in primary and secondary school teachers from the perspective of informal learning. The model designs a measurement scale based on the results of fine control, and the scale is revised through informal learning pretests to form the logical frame analysis loop of this paper. The scale uses Likert 5-point scoring, from 1.5 to represent never, rarely, occasionally, often, and always, which solves the difficulty of quantitative analysis of teacher burnout data. During the simulation process, SPSS 20.0 and AMOS 7.0 were used to conduct empirical analysis, exploratory factor analysis and confirmatory factor analysis on the survey data, and the measurement scales were tested. The empirical analysis results show that this paper uses cluster sampling and random sampling to carry out a questionnaire survey on 1022 primary and secondary school teachers. The measurement scale includes 19 items. Through exploratory factor analysis and confirmatory factor analysis, the control method is determined. In two dimensions, the revised control style questionnaire has a reliability of 0.951, and items with factor loadings less than 0.5 are eliminated, which effectively improves the control performance of informal learning.
The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning
Authors: Hu Jiaxin , Ge Zhaohui , Wang Xiaohua
Published: June 2022

In order to study the role of generative adversarial network (GAN) in music generation, this article creates a convolutional GAN-based Midinet as a baseline model through the music generation process and creative psychological education and GAN principle. Additionally, it proposes a music generation model based on music theory rules and a chord-constrained GAN dual-track music generation model. Based on this model, a deep chord gated recurrent neural generative adversarial network (DCG_GAN) is proposed. The generated melodies are evaluated in both subjective and objective directions. The results show that the three evaluation indicators of DCG_GAN have the highest scores in the subjective evaluation. The average score given by ordinary listeners reaches 3.76 points, and the professional score reaches 3.58 points, which are 0.69 and 1.31 points higher than the baseline model, respectively. In the objective evaluation, DCG_GAN is improved by 8.075% in empty bars rate (EBR). The UPC (num_chroma_used) evaluation index value of the DCG_GAN model is improved by 0.52 compared with the baseline model. The qualified note ratio (QNR) evaluation index value is improved by up to 4.46% among the five audio tracks. The proposed overall style-based music generation model has superior performance in music generation. Both subjective and objective evaluations show that the generated music is more favored by the audience, indicating that the combination of deep learning and GAN has a great effect on music generation.
IoT‐Based Intelligent System for Internal Crack Detection in Building Blocks
Authors: Babu J. Chinna , Kumar M. Sandeep , Jayagopal Prabhu , Sathishkumar V. E. , Rajendran Sukumar , Kumar Sanjeev , Karthick Alagar , Mahseena Akter Meem
Published: June 2022

Cracks that are detected in concrete structures represent significant damage, and they can lead to a detrimental effect on the structure’s durability. Their identification in a timely manner can help ensure structural safety and guide in‐depth maintenance operation. Automatic detection of such cracks has been proposed using internal crack detection utilizing ultrasonic sensors in concrete. Cracks within the concrete can be detected using ultrasonic sensors. In this investigation, we introduced an intelligent method that is aimed at developing a crack detection scheme using ultrasonic sensors. These ultrasonic sensors are used for the detection of cracks in buildings which cannot be seen with our naked eyes; they are capable of alerting authorities via SMS message and providing the cracks’ location via GSM and GPS modules. To monitor internal cracks in the concrete cubes and cylinders, the ultrasonic sensors can be fixed at the centre of the cube which will be used for interval crack monitoring based on crack detection technology. The grade of concrete used for testing is M25, and it is well mixed with the ingredients of cement, fine aggregate, coarse aggregate, and water. The concrete is placed in the cube moulds having the dimensions 150 mm × 150 mm × 150 mm. The cylinders used in the case of the experimental analysis are of the dimensions of 150 mm diameter and 300 mm height. These specimens are cast and kept in the curing tank for 28 days to attain the maximum strength. After completion of the curing period, the specimens were taken out from the tank and weighed. After this weighing process, the cubes and cylinders are about 8.884 kg and 13.399 kg, respectively. The information about the cracks can be displayed on the LCD, and also, the transmitted short message about the cracks can be exchanged between the devices using IoT.
Formation and Schema Analysis of Oil Painting Style Based on Texture and Color Texture Features under Few Shot
Authors: Zhao Yuanyuan
Published: June 2022

Texture has strong expressiveness in picture art, and color texture features play an important role in composition. Together with texture, they can convey the artistic connotation of portrait, especially in oil painting. Therefore, in order to make the picture form oil painting style and oil painting schema, we need to study the texture and color texture in combination with the previous oil painting art images. But now, there are few samples of good oil paintings, so it is difficult to study the texture and color texture in oil paintings. Therefore, in order to form a unique artistic style of modern oil painting and promote the development of modern oil painting art, this paper studies the texture and color texture characteristics in the environment of few oil painting works. This paper establishes a model through deep neural network to extract the image incentive and color texture of oil painting art works, which provides guidance for promoting the development of oil painting art. The experiments in this paper show that the depth neural network has high definition for the extraction of texture and color texture of small sample oil painting images, which can reach more than 85%. It has high guiding significance for the research and creation of oil painting art.
Residual Life Prediction of Lithium Batteries Based on Data Mining
Authors: Ma Dandan , Qin Xiangge
Published: June 2022

Lithium-ion batteries are an important part of smartphones, and their performance has a great impact on the life of the phone. The longevity of lithium-ion batteries is key to ensuring their reliability and extending their useful life. This paper built a lithium battery life prediction model and grey model MDGM(1,1) based on data mining. Then, experimental data were selected for testing, and the prediction error reached 10.5% at the minimum. It showed that the prediction model had higher precision and could provide help for the prediction and development of mobile phone battery life.
Efficacy of Phase II Remote Home Rehabilitation in Patients with Acute Myocardial Infarction after Percutaneous Coronary Intervention
Authors: Li Zhe , Hui Zhi , Zheng Ye , Yu Jing , Zhang Jun
Published: June 2022

Objective. To assess the efficacy of home‐based cardiac rehabilitation and traditional outpatient rehabilitation in stage II after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI). Methods. From September 2019 to March 2020, 80 AMI patients in Cangzhou Central Hospital were randomly assigned to one of the two groups: the control group or the observation group, 40 cases in each group. The control group received old‐fashioned outpatient rehabilitation treatment, and the study group received long‐distance family rehabilitation nursing intervention. The blood pressure, examination results, compliance, satisfaction evaluation, incidence of cardiac events, heart rate, quality of life score, and 6‐minute walking test were compared between the two groups. Results. There were no deaths in both groups. There were significant differences in heart failure, unstable angina pectoris, unplanned readmission rate, walking compliance, and 6‐minute walking test at 6 months after discharge (P < 0.05). There were substantial variances in left ventricular discharge portion, low‐density lipoprotein, medication compliance, satisfaction, and quality of life (P < 0.05); there was substantial inconsistency in the 6‐minute walking test concerning the two groups afterwards discharge for 3 months (P < 0.05). Conclusion. Home rehabilitation is a new home cardiac rehabilitation model with high efficiency, convenience, and whole process monitoring and barrier‐free follow‐up management. It can effectively improve the cardiac function, workout patience and worth of life expectancy of victims with AMI, improve their self‐management awareness and rehabilitation compliance, reduce the risk of cardiac events, and have a positive impact on the prognosis and rehabilitation of patients with AMI.
Synthesis and Characterization of Chrysophyllum albidum (African Star Apple) Plant‐Mediated Zinc Oxide Nanostructures and Evaluation of Their Antioxidant, Anti‐Inflammatory, and Antimicrobial Activity
Authors: Droepenu Eric Kwabena , Jackson Nancy Ama Na , Kyene Michael Odoi , Ayertey Frederick , Brew-Daniels Henry , Mensah Theophilus , Adomako Clement , Nartey Adwoa Padiki , Gyampoh Alexander Obiri , Boamah Linda Adutwumwaa
Published: June 2022

This study sought to evaluate the added advantage of mediating ZnO nanostructures with a medicinal plant. The synthesized ZnO nanocrystalline structures were confirmed by Fourier transform infrared spectrometer and characterized through scanning electron microscope, transmission electron microscope, ultraviolet–visible spectroscopy, and energy‐dispersive X‐ray spectrometer. The antioxidant, anti‐inflammatory, and antimicrobial activities of the ZnO nanostructure mediated with methanol extracts of the leaf, fruit, and seed of Chrysophyllum albidum were then evaluated using DPPH assay, egg albumin denaturation assay, and agar well diffusion methods, respectively. All the characterization analyses revealed high‐purity hexagonal‐shaped ZnO nanoparticles which were agglomerated. The mean diameter of the particles determined were 11.3 ± 1.7 nm, 20.4 ± 3.2 nm, and 27.3 ± 6.6 nm for C. albidum seed, fruit, and leaf extract‐mediated ZnO NPs, respectively. The EC50 values recorded for the antioxidant activity of the extract‐mediated ZnO NPs were 0.507 ± 0.015, 0.255 ± 0.006, 0.193 ± 0.003, and 0.004 ± 0.000 mg/mL for leaf, fruit, seed, and ascorbic acid, respectively. From the antimicrobial analysis, C. albidum seed extract‐mediated ZnO NPs recorded the highest zone of inhibition (24.33 ± 0.47) against S. aureus whereas C. albidum leaf extract‐mediated ZnO NPs gave the lowest zone of inhibition (13.00 ± 1.41) against E. coli at a concentration of 50 mg/mL. Moreover, C. albidum fruit extract‐mediated ZnO NPs presented the highest zone of inhibition (18.00 ± 0.82) against the fungus (C. albicans) also at a concentration of 50 mg/mL. The IC50 values recorded for the anti‐inflammatory activity of the extract‐mediated ZnO NPs showed inhibition in the order fruit > seed > leaf. Meanwhile, extracts of the samples showed the presence of flavonoids, alkaloids, saponins, and glycosides as phytochemical constituents in the leaf, fruit, and seed samples. In conclusion, the synthesized ZnO NPs from the extracts of C. albidum displayed significant antioxidant, anti‐inflammatory, and antimicrobial activities against some selected microbes and fungi.
Study on Sustainable Agricultural Structure Optimization Method Based on Multiobjective Optimization Algorithm
Authors: Duan Dingkang
Published: June 2022

Agricultural sustainable development is one of the themes of human and nature harmonious coexistence. Adjusting and optimizing agricultural structure are an important direction to improve the level of agricultural sustainable development. In this paper, related research status of the sustainable development of agriculture is analyzed; it shows that there is lack of scientific theories guidance for agricultural sustainable development. In order to optimize sustainable development of agriculture industry structure, the guidance theory of and its optimization are studied. Based on multiobjective optimization theory, several key factors that affect agricultural sustainable development and the main target indexes of agricultural sustainable development are analyzed, the mathematical model of the evaluation of the sustainable development of agriculture is established, and the solution to optimize the multiobjective model is studied. Finally, the agricultural industry sustainable development in a certain area is taken as the research object in this paper; the mathematical model and solving method of agricultural sustainable development evaluation are studied; it provides a guidance to optimize the regional agricultural industrial structure and improve the quality of agricultural sustainable development.
3D-Printed Models versus CT Scan and X-Rays Imaging in the Diagnostic Evaluation of Proximal Humerus Fractures: A Triple-Blind Interobserver Reliability Comparison Study
Authors: Puglisi Gianluca , Montemagno Marco , Denaro Regina , Condorelli Giuseppe , Caruso Vincenzo Fabrizio , Vescio Andrea , Testa Gianluca , Pavone Vito
Published: June 2022

Background. Proximal humerus fractures (PHFs) are one of the most frequent fractures in the elderly and are the third most fractures after those of the hip and wrist. PHFs are assessed clinically through conventionally standard imaging (X-ray and computed tomography (CT) scans). The present study aims to conduct the diagnostic evaluation and therapeutic efficacy of the 3D-printed models (3DPMs) for the PHFs, compared with the standard imaging. Objectives. In terms of fracture classification and surgical indication, PHFs have poor interobserver agreement between orthopedic surgeons using traditional imaging such as X-rays and CT scan. Our objective is to compare interobserver reliability in diagnostic evaluation of PHFs using 3DPMs compared to traditional imaging. Methods. The inclusion criteria were elders aged >65 years, fracture classification AO/OTA 11 B and 11 C, and no pathological fractures or polytrauma. In addition, 9 PHFs were assessed by 6 evaluators through a questionnaire and double-blinded administered for each imaging (X-ray and CT scan) and 3DPMs for each fracture. The questionnaire for each method regarded Neer classification, Hertel classification, treatment indication (IT), and surgical technique (ST). Interobserver reliability was calculated through the intraclass correlation coefficient (ICC). Results. Nine patients with PHF were included in the study (66% female). The Neer and Hertel classifications between imaging types had similar ICC values between raters with no statistical differences. IT reliability using CT scan and 3DPMs (ICC = 1;

p
=
0.116

) assessed better agreement compared with X-rays IT. The ST reliability using 3DPMs (ICC = 0.755;

p
=
0.002

) was statistically superior to traditional imaging (ST-RX ICC = -0.004 (

p
=
0.454

); ST-CT ICC = 0.429

p
=
0.116

). Conclusion. Classification systems like Neer and Hertel offer poor reliability between operators. The 3DPMs for evaluating diagnostics are comparable to CT images but superior to the surgical technique agreement. The application of 3DPMs is effective for preoperative fracture planning and the modeling of patient-specific hardware.
Neglected Case of Human Balantidiasis: Presumed as Antibiotic-Associated Diarrhoea
Authors: Shrestha Sreska , Khadka Priyatam
Published: June 2022

Background. Balantidiasis, due to its rare human incidence and nonspecific clinical presentations often neglected from the diagnosis considerations; however, a potent pathogen. Herein, we report a case of neglected balantidiasis presumed as antibiotic-associated diarrhoea. Case Presentation. A 27-year-old policeman presented in Sindhuli Hospital, with a chief complaint of epigastric pain, nausea, decreased appetite for several days, and loose stools (3-4 episodes per day). Previously, he was under antibiotic therapy (amoxycillin) for tonsillitis. The health post clinician made a presumptive diagnosis as the side effects of the antibiotics; however, the symptoms were not resolved. Complete blood cell count (CBC) was normal; renal function test (RFT) and liver function (LFT) were within the normal ranges. Ultrasonography of the abdomen and ECG (electrocardiogram) showed normal findings. However, on routine stool actively motile trophozoites of Balantidium coli (B. coli) were seen. He was treated successfully with metronidazole 750 mg tabs orally three times daily for 5 days. Conclusion. Protozoal infections, like balantidiasis, might be excluded from the diagnostic consideration in antibiotic-associated diarrhoea cases. Therefore, meticulous review of nonspecific clinical presentation and validation of an etiology with support of diagnostic tests are mandatory.
Electronic Controller Automatic Test System Based on Intelligent Control Algorithm
Authors: Li Meiqi , Gong Xu
Published: June 2022

In order to improve the automatic test effect of the electronic controller, this paper combines the intelligent control algorithm to construct the automatic test system of the electronic controller. Moreover, the paper makes a detailed theoretical analysis of several basic problems relating to signal integrity and gives a general method to solve the main SI problems. In addition, this paper analyzes the principle of the microstrip transmission line parameter model and its relationship with the signal integrity and constructs an automated test system for an intelligent electronic controller. The simulation test results show that the electronic controller automated test system based on the intelligent control algorithm proposed in this paper can play an important role in the electronic controller automated test.
HIF-1α Regulated WTAP Overexpression Promoting the Warburg Effect of Ovarian Cancer by m6A-Dependent Manner
Authors: Lyu Yuanyuan , Zhang Yilin , Wang Yuhan , Luo Yonghong , Ding Huafeng , Li Peiling , Ni Guantai
Published: June 2022

N6-methyladenosine (m6A) RNA methylation has been determined to execute crucial functions in tumorigenesis and cancer development. WT1-associated protein (WTAP) has an important “writer” role in m6A modification, and it is also a nuclear protein that colocalizes with splicing factors and plays a critical role in cell function and cancer progression. However, little is known about the role of WTAP in ovarian cancer (OC) and its mechanisms. In this study, we found for the first time that hypoxia-inducible factor (HIF)-1α could positively regulate increased expression of WTAP under hypoxia. And further results revealed that WTAP expression was closely associated with the clinicopathological features of OC, and high expression of WTAP predicted low survival rate in patients with OC. In addition, cell proliferation and invasive capacity were significantly reduced after knockdown of WTAP expression in OC cells. However, cell proliferation and invasive ability were significantly enhanced after overexpression of WTAP. Additionally, we find that WTAP interacts with DGCR8 (a crucial chip protein) to regulate the expression of microRNA-200 (miR-200) in an m6A-dependent way. Further experiments showed that the key glycolysis enzyme HK2 could be positively regulated by miR-200, which significantly affected the intracellular Warburg effect. In conclusion, this is considered uncovered that upregulation of WTAP expression by HIF-1α intercedes with miRNA processing, accelerates the Warburg impact, and advances the event and advancement of tumor, thus giving a novel viewpoint on m6A adjustment in OC movement.
Comparison of Gastric Emptying Time after the Ingestion of Whisky with Isocalorically Adjusted Glucose Solution
Authors: Okabe Tadashi , Terashima Hideo , Sakamoto Atsuhiro
Published: June 2022

Previous studies have shown that the liquid gastric emptying mainly depended on energy content, regardless of compositional differences. But the gastric emptying of alcoholic beverages remains unclear. Therefore, we performed the present study to compare gastric emptying times between whisky mixed with water and glucose solution with uniform energy contents and volumes. As a crossover study, 10 healthy male volunteers ingested one of 3 test solutions with a uniform volume of 150 ml, i.e., whisky with water-containing whisky 30 ml (67 kcal), sugar water containing glucose 16.8 g (67 kcal), and water (0 kcal), and the gastric emptying time of each beverage was then assessed by ultrasound measurements of the gastric antral cross-sectional area. The gastric emptying pattern of whisky with water was faster than that of isocaloric sugar water, but slower than that of water. Each antral cross-sectional area 20, 30, and 40 min after the ingestion of sugar water was significantly larger than that of whisky with water. Antral cross-sectional areas 10 and 20 min after the ingestion of water were significantly smaller than those of whisky with water. In conclusion, the gastric emptying time of whisky would be faster than that of isocaloric glucose solution and slower than that of water. Unlike the other beverages, the gastric emptying time of alcohol drinks does not purely depend on the energy content because alcohol itself has no calorie before absorption. This study is registered with the University Hospital Medical Information Network (UMIN) Clinical Trials Registry (UMIN000034443).
Exploring and Verifying the Mechanism and Targets of Shenqi Pill in the Treatment of Nonalcoholic Steatohepatitis via Network Pharmacology and Experiments
Authors: He Beihui , Chen Zheng , Nie Yunmeng , Luo Minmin , Xu Sumei , Yan Junbin , Chen Zhiyun
Published: June 2022

Shenqi pill (SQP), a famous traditional Chinese medicine (TCM) herbal formula derived from Jinguiyaolue (Synopsis of Prescriptions of the Golden Chamber), has long been used to treat kidney yang deficiency syndrome. According to the TCM treatment principle that the liver and kidney are homologies, the clinical use of SQP in the treatment of nonalcoholic steatohepatitis (NASH) has achieved a good effect. However, the active targeted genes and underlying mechanism remain unclear. In this study, we aimed to explore the treatment mechanism of SQP in NASH rats, which may further contribute to the in-depth exploration of SQP in clinical applications. Network pharmacology analysis was used to screen the target genes of SQP for NASH treatment based on public databases. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein–protein interaction (PPI) analysis were used to search for crucial target genes and mechanisms. UPLC–MS/MS was used to verify the active compounds of the SQP screened. The hepatic pathology and biochemical indicators of rats were used to judge the modeling results and the curative effect of SQP. Western blotting and qRT–PCR were used to verify the expression of crucial target genes at the protein and RNA levels, respectively. Network pharmacology analysis and bioinformatics analysis showed that PTGS2, JUN, MYC, and CDKN1A might be crucial target genes in the primary mechanism of SQP in treating NASH and improving the inflammatory response. The UPLC–MS/MS results confirmed that the hub active compound, quercetin, screened out through the TCMSP database, is indeed present in SQP. Hepatic injury and lipid metabolism indicators of NASH rats were significantly improved after SQP treatment. The results of WB and qRT–PCR showed that the expression of PTGS2, JUN, MYC, and CDKN1A was higher in NASH rats than in normal rats and decreased after SQP treatment. The expression of inflammatory cytokines (IL-1β, IL-6, TNF-α) was reduced after SQP treatment, which confirmed that SQP could improve hepatic inflammation in rats. These results suggested that SQP could ameliorate NASH in rats, and that quercetin may be the critical active compound that exerts the therapeutic effect.
Using Multilayer Perceptron to Predict Forest Fires in Jiangxi Province, Southeast China
Authors: Gao Keke , Feng Zhongke , Wang Shan
Published: June 2022

The forest fire occurrence prediction model is a very useful tool for preventing and extinguishing forest fires. The determination of forest fire drivers is important for establishing a high‐precision forest fire prediction model. In this paper, we studied the relative influence of different types of factors on forest fire occurrence in forest areas of Jiangxi Province. Several models, i.e., Multilayer perceptron (MLP), Logistic, and Support vector machine (SVM), are used to predict the occurrence of forest fires. Through modeling and analysis of forest fire data from 2010 to 2016 years, we found that climatic and topographic are influential factors in the model of forest fire occurrence in Jiangxi Province. Subsequently, we established the MLP occurrence model based on the significant factors after the variable screening. Using ROC plots to compare the effects of the three models, MLP scored 0.984, which was higher than Logistic of 0.933 and SVM of 0.974. For the independent validation set of 2017‐2018, an accuracy of 91.73% was also achieved. Therefore, the multilayer perceptron is well suited for the prediction of forest fires in Jiangxi Province. Based on the prediction results, a fire risk level map of Jiangxi Province was produced. Finally, we analyzed the changes in forest fire quantity under climate change, which can be helpful for fire prevention and suppression of forest fires.
Clinical Application of a Multiparameter-Based Nomogram Model in Predicting Preeclampsia
Authors: Chen Wenyue , Sun Sufang
Published: June 2022

Based on single-center data, the related predictive factors of preeclampsia (PE) were investigated, and a nomogram prediction model was established and validated. A retrospective collection of 93 PE patients admitted to our hospital from January 2019 to January 2021 were included in the PE group. In addition, non-PE pregnant women were selected for physical examination during the same period for matching, and 170 normal pregnant women who met the matching conditions were found as the normal pregnancy group. Clinical data of the selected candidates were collected. The risk factors of PE were screened by logistic regression analysis, and the lipopograph prediction model was constructed and verified. Logistic analysis results showed that age (OR = 3.069, 95% CI = 1.233–7.638), prepregnancy BMI (OR = 2.896, 95% CI = 1.193–7.029), vitamin E deficiency (OR = 2.803, 95% CI = 1.134–6.928), 25-(OH)D (OR = 0.944, 95% CI = 0.903∼9.988), PLGF (OR = 0.887, 95% CI = 0.851∼0.924), PAPP-A (OR = 1.240, 95% CI = 1.131∼1.360), and PI (OR = 6.376, 95% CI = 1.163∼34.967) were the independent risk factors for PE prediction (

P
<
0.05

). The ROC curve showed that the AUC of the model for predicting the risk of PE was 0.957 (95% CI: 0.935–0.979), and the specificity and sensitivity were 0.912 and 0.892, respectively. H-L goodness of the fit test showed that there was no statistical significance in the deviation between the actual observed value and the predicted value of the risk in the line graph model (χ2 = 7.001,

P
=
0.536

). The bootstrap test was used for internal verification, and the original data were repeatedly sampled 1000 times. The average absolute error of the calibration curve is 0.014, and the fitting degree between the calibration curve and the ideal curve is good. Age, prepregnancy BMI, lack of vitamin E, 25-(OH)D, PLGF, PAPP-A, and PI are independent risk factors for predicting PE. The establishment of a nomogram prediction model based on the above parameters can help identify PE high-risk groups in the early clinical stage and provide a reference for individualized clinical diagnosis and treatment.
Multifactor Analysis of Landslide Mechanisms: A Case Study of Yongji Expressway, China
Authors: Meng Qingfeng , Hu Xuyue , Zhang Jing , Li Peng , Zhou Chunguang , Wang Zhi
Published: June 2022

Based on deformation monitoring and stability results obtained from geological mapping, geological drilling, macrolaboratory, and microlaboratory tests, the sliding mechanism of landslide in Guzhang County of Yongji expressway was studied. The bedding slope landslide results from cutting slope along the central white mud clay slip, and by on-site investigation and deep displacement monitoring, the clay is determined as the landslide surface. Combining the experimental results and similar geotechnical engineering experience, by back-calculation, the parameters of the soft interlayer are calculated as

C

(5 kPa) and

ϕ

(8.5°). Based on X-ray diffraction (XRD) and X-ray fluorescence spectroscopy (XRF) test, the results are concluded that the chlorite in clay interlayer is easily water softened, excavation slope after long-term heavy rainfall chlorite clay interlayer softening. Sustained rainfall and underground water levels showed a positive correlation when the slope is sliding, and the heavy rainfall continued to accelerate slope sliding. Furthermore, the slope surface displacement and profound displacement increase quickly, and rainfall and slope displacement also showed a positive correlation.
Law of Countercurrent Energy Dissipation of Fresh Air by Coal and Gas Outburst Shock Waves
Authors: Xue Haiteng , Li Xijian , Liu Zhu , Dai Fangrui , Hu Bei
Published: June 2022

Accidental coal and gas outbursts lead to major disasters in coal-producing countries and are difficult to mitigate. To elucidate the energy dissipation law for coal and gas outburst shock waves in a complex ventilation network of mines, a coal-and-gas-outburst-energy-propagation simulation and parameter determination test device were developed and used to perform physical simulation experiments under different outburst strength conditions. These experiments were combined with numerical simulations to obtain the propagation law of outburst shock waves in a roadway and analyze different outburst intensities according to the gas counterflow criterion, highlighting the hazard characteristics of shock waves in a fresh air tunnel. The results showed that when a shock wave passed through the turning roadway, its intensity and speed were greatly attenuated and that the overpressure value of a shock wave in a straight roadway was greater than that at a corner. Upon encountering a rigid wall, the superposition of the incident and reflected shock waves increased the peak overpressure of the shock wave per unit area. When a fresh air roadway is near the coal uncovering position in rock drift (“Shimen”) a corresponding counter-backflow device should be installed at the location of the connecting road near the fresh air roadway, under the condition that normal ventilation is not affected. These numerical simulation results are consistent with general experimental trends, indicating that the analyses conducted in this study are reliable and can provide a theoretical basis for the prevention of secondary disasters due to coal and gas outbursts in mines.
The Effect of MDT Collaborative Nursing Combined with Hierarchical Nursing Management Model on the Quality of Life and Comfort of Patients with Gallbladder Stones Combined with Acute Cholecystitis after Surgery
Authors: Lu Li , Yang Jun , Zheng Jiafeng , Zhang Chenchen , Yang Ye , Huang Juan
Published: June 2022

Objective. To explore the effect of MDT (multidisciplinary team) collaborative nursing combined with hierarchical nursing management mode on the quality of life and comfort of patients with gallbladder stones combined with acute cholecystitis after surgery. Methods. A total of 120 patients with gallbladder stones and acute cholecystitis who were treated in our hospital from March 2019 to March 2021 were selected as prospective research objects. According to the order of care, they were divided into control group and observation group with 60 cases each. Among them, the control group implements a hierarchical nursing management model, and the observation group implements MDT collaborative nursing based on this and compares the impact of the two groups on patient’s quality of life scores, daily self-care ability, nursing satisfaction, and comfort after nursing. Results. Before nursing, the comparison of the quality of life score, nursing comfort, and nursing ability of the two groups of patients was not statistically significant (

P
>
0.05

). After nursing, the mental vitality score, social interaction score, emotional restriction score, and mental status of the observation group were significantly higher than those of the control group. Statistics showed that the difference was statistically significant (

P
<
0.05

). After nursing, the scores of social comfort, physical comfort, and psychological comfort of the observation group were significantly higher than those of the control group, and statistics showed that the difference was statistically significant (

P
<
0.05

). The health knowledge level, self-care skills, self-care responsibility, and self-concept of the observation group after nursing were higher than those of the control group, while the score of depression and mood disorder was significantly lower than that of the control group. Statistics showed that this difference was statistically significant (

P
<
0.05

). After nursing, patients in the observation group had higher operating technique scores, service attitude scores, health education scores, psychological intervention scores, and nursing quality scores than those of the control group. Statistics showed that the difference was statistically significant (

P
<
0.05

). Conclusion. MDT collaborative nursing combined with hierarchical nursing management mode can effectively improve the self-care ability of patients with gallbladder stones complicated with acute cholecystitis, effectively improve the quality of life of patients, and improve the satisfaction and comfort of patients with nursing care. The postnursing care of patients after inflammation has a certain reference value.
Disaster Risk Evaluation of Superlong Highways Tunnel Based on the Cloud and AHP Model
Authors: Li Zhi , Meng Xianqing , Liu Dunwen , Tang Yu , Chen Tan
Published: June 2022

Comprehensive evaluation of the geological disaster risk of super long tunnels is significant for safety construction. In this paper, we establish a comprehensive evaluation system based on the cloud model and analytic hierarchy process (AHP) theory, considering four kinds of geological hazards, such as water and mud inrush, large deformation, rock burst, and collapse. Then, based on a super long highway tunnel of the Chizhou‐Qimen expressway in China, the construction risk evaluation is carried out. The results show that the evaluation system can accurately judge the disaster risk level of the tunnel under different conditions surrounding a rock. The cloud model theory can realize the mutual transformation of qualitative indicators and quantitative indicators and avoid the problem of intense subjectivity of evaluation indicators. The evaluation system can be used as a new approach to evaluate tunnel risks in similar projects.