bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of Potential Evapotranspiration across Sri Lanka Using a Distributed Dual-Source Evapotranspiration Model under Data Scarcity
Authors: Senatilleke Udara , Abeysiriwardana Himasha , Makubura Randika K. , Anwar Faisal , Rathnayake Upaka
Published: April 2022

Evapotranspiration estimations are not common in developing countries though most of them have water scarcities for agricultural purposes. Therefore, it is essential to estimate the rates of evapotranspiration based on the available climatic parameters. Proper estimations of evapotranspiration are unavailable to Sri Lanka, even though the country has a significant agricultural contribution to its economy. Therefore, the Shuttleworth–Wallace (S-W) model, a process-based two-source potential evapotranspiration (PET) model, is implemented to simulate the spatiotemporal distribution of PET, evaporation from soil (ETs), and transpiration from vegetation canopy (ETc) across the total landmass of Sri Lanka. The country was divided into a grid with

6
k
m
×
6
k
m

cells. The meteorological data, including rainfall, temperature, relative humidity, wind speed, net solar radiation, and pan evaporation, for 14 meteorological stations were used in this analysis. They were interpolated using Inverse Distance Weighting (IDW), Universal kriging, and Thiessen polygon methods as appropriate so that the generated thematic layers were fairly closer to reality. Normalized Difference Vegetation Index (NDVI) and soil moisture data were retrieved from publicly available online domains, while the threshold values of vegetation parameters were taken from the literature. Notwithstanding many approximations and uncertainties associated with the input data, the implemented model displayed an adequate ability to capture the spatiotemporal distribution of PET and its components. A comparison between predicted PET and recorded pan evaporations resulted in a root mean square error (RMSE) of 0.75 mm/day. The model showed high sensitivity to Leaf Area Index (LAI). The model revealed that both spatial and temporal distribution of PET is highly correlated with the incoming solar radiation fluxes and affected by the rainfall seasons and cultivation patterns. The model predicted PET values accounted for 80–90% and 40–60% loss of annual mean rainfall, respectively, in the drier and wetter parts of the country. The model predicted a 0.65 ratio of annual transpiration to annual evapotranspiration.
Construction and Analysis of Computer Model in Sports Education Effect Evaluation Based on Grey System Theory
Authors: Guo Jingyuan
Published: April 2022

College physical education is the most common course type in college students’ education. It undertakes the important responsibility of improving students’ physical quality. In order to make effective use of teaching curriculum, the evaluation of curriculum reform is the key of research. Based on this, this paper puts forward the evaluation of physical education teaching effect based on grey system theory. This paper expounds the research progress of teaching effect evaluation and then analyzes the grey system theory. In the evaluation, the key of AHP is to control the traditional fuzzy analysis method, which can be optimized by using fuzzy analysis method. At the same time, the grey system theory is used for comprehensive analysis to establish sports teaching scoring index effect. Through the analysis of physical education teaching examples, the effectiveness of grey system theory in evaluating teaching is confirmed. The application of grey system theory in teaching effect evaluation is more intuitive, which can make full use of the existing whitening information and reduce human errors. In addition, it can comprehensively consider the impact of each sample data on the final result to the greatest extent, which is closer to the actual evaluation result than the theoretical fuzzy evaluation.
Edaravone Attenuated Particulate Matter-Induced Lung Inflammation by Inhibiting ROS-NF-κB Signaling Pathway
Authors: Zeng Yingying , Zhu Guiping , Zhu Mengchan , Song Juan , Cai Hui , Song Yuanlin , Wang Jian , Jin Meiling
Published: April 2022

Background. Particulate matter (PM) exposure is related to mitochondria dysfunction and airway inflammation. Antioxidant drug edaravone (EDA) is reported to improve the occurrence and development of oxidative stress-related diseases. At present, there is no data on whether EDA can alleviate lung inflammation caused by PM. Methods. The anti-inflammatory effects of EDA were investigated in urban PM-induced human bronchial epithelial cells (HBECs) and C57/BL6J mouse models. In vitro, its effects on the production of intracellular reactive oxygen species (ROS), mitochondrial membrane potential (MMP), and inflammatory cytokines were assessed by DCFH-DA staining, JC-1 assay, and real-time PCR, respectively. In vivo, the oxidant stress in lung tissues was assessed by dihydroethidium (DHE) staining and malondialdehyde (MDA) activity, and inflammatory cytokines in bronchoalveolar lavage fluid (BALF) were assessed by ELISA, respectively. Furthermore, the potential signaling pathways were studied by siRNA transfection and western blot. Results. PM increased the expression of inflammatory cytokines and protein, including IL-6, IL-1α, IL-1β, and COX-2, while these alternations were significantly alleviated following EDA treatment in a dose-dependent manner. EDA treatment also alleviated the inflammatory responses in lung tissues of PM-exposed mice. We further showed mitochondrial dysfunction in PM-exposed HBECs and mice, which were reversed by EDA treatment. Moreover, the phosphorylation of NF-κB p65 in PM-exposed HBECs and mice was weakened by EDA. Transfection with NF-κB p65 siRNA further inhibited PM-induced inflammation in HBECs. Conclusion. We demonstrated that EDA treatment had a protective role in PM-induced lung inflammation through maintaining mitochondrial balance and regulating the ROS-NF-κB p65 signaling pathway. This provided a new therapeutic method for PM-induced lung inflammation in the future.
Graph Theoretical Analysis of Semantic Fluency in Patients with Parkinson’s Disease
Authors: Zhang Guanyu , Ma Jinghong , Chan Piu , Ye Zheng
Published: April 2022

Semantic fluency is the ability to name items from a given category within a limited time, which relies on semantic memory, working memory, and executive function. Semantic disfluency is a common problem in Parkinson’s disease (PD) and Alzheimer’s disease (AD). We demonstrated a graph theoretical analysis of semantic fluency in patients with PD (

N
=
86

), patients with AD (

N
=
40

), and healthy controls (HC,

N
=
88

). All participants completed a standard animal fluency test. Their verbal responses were recorded, transcripted, and transformed into directed speech graphs. Patients with PD generated fewer correct words than HC and more correct words than patients with AD. Patients with PD showed higher density, shorter diameter, and shorter average shortest path length than HC, but lower density, longer diameter, and longer average shortest path length than patients with AD. It suggests that patients with PD produced relatively smaller and denser speech graphs. Moreover, in PD, the densities of speech graphs correlated with the severity of non-motor symptoms, but not the severity of motor symptoms. The graph theoretical analysis revealed new features of semantic disfluency in patients with PD.
A Summary of PID Control Algorithms Based on AI-Enabled Embedded Systems
Authors: Zhou Yi
Published: April 2022

Proportional-integral-derivative (PID) controllers are extensively used in engineering practices for their simple structures, robustness to model errors, and easy operations. At present, there is a great variety of PID controllers. Companies have developed intelligent regulators with functions for automatically tuning PID parameters. For present PID controllers, strategies such as intelligence, self-adaptation, and self-correction are extended to transmission PID. PID controllers and corresponding improved ones are utilized in 90% of industrial control processes. In this paper, PID control algorithms are summarized. This paper focuses on advanced control strategies such as PID control, predictive PID control, adaptive PID control, fuzzy PID control, neural network PID control, expert intelligent PID control, PID control based on genetic algorithms, and PID control based on ant colony algorithms. Besides, these kinds of algorithms are compared, and prospects of PID algorithms are forecast at the end of this paper.
Empathy Theory and Casework Problem Solving Based upon Social Network Analysis
Authors: Liu Bingcen
Published: April 2022

In the field of psychological research, researchers have been exploring a relatively stable path that can promote good interpersonal relationships and increase positive emotions. Empathy is a new field in emotion research and has gradually become a hot issue in empathy research at home and abroad. However, there are many problem families in the current society that are difficult to achieve positive emotions and need the help of society. At present, casework research has gradually become an important means to solve social problems, but the current work efficiency is relatively low, and the mobilization of the enthusiasm of all parties is also relatively weak. In order to solve these problems, this paper proposes a casework solution based on social network analysis empathy theory, aiming at solving some difficult social problems through the cooperation of all social parties. The method of this paper is to study the application of social network analysis, analyze the network community, and then propose the moderating effect of empathy traits on casework. These methods allow social workers to fully understand the social structure in social networks and feel the role of empathy theory in promoting their work. This article draws on a general methodology for applying casework through actual casework of caregivers of intellectually disabled youth, children with autism, and the elderly with orphans. The results show that the solution proposed in this paper can effectively improve the client’s nonverbal communication behavior, and the improvement rate reaches 65.1%.
Influenza A Virus Production in Mouse Lung Is Inhibited by Inhalation of Aerosol Polyethylenimine/Short Hairpin RNA Plasmid Complexes
Authors: Shi Liang , Yin Shenhui , Ren Hao , Gao Rong , Ma Zhuang , Sun Wenwu , Cao Jianping
Published: April 2022

Influenza pandemics are a global threat to human health, with existing vaccines and antiviral drugs providing limited protection. There is an urgent need for new prophylactic and treatment strategies. In this study, 12 short hairpin (sh)RNAs targeting conserved regions of influenza A virus (IAV) matrix protein (M)2, nucleocapsid protein (NP), nonstructural protein (NS), and polymerase acidic (PA) were synthesized, and their effects on IAV replication in cells were investigated using Madin–Darby canine kidney (MDCK) cells transfected with the shRNA plasmids. Additionally, mice were administered a polyethyleneimine PEI/pLKD-NP-391 complex in aerosol form and then infected with AIV, and viral particles in the mouse lung were detected. IAV production was markedly lower in MDCK cells transfected with pLKD-M-121, pLKD-M-935, pLKD-NP-391, pLKD-NP-1291, pLKD-PA-1365, and pLKD-PA-1645 plasmids than in control cells (

p
<
0.01

). The viral load in MDCK cells was decreased by transfection of plasmids pLKD-M-121 (

p
<
0.05

) and pLKD-M-935, pLKD-NP-391, pLKD-NP-1291, pLKD-PA-1365, and pLKD PA-1645 (

p
<
0.01

) compared to an empty plasmid. The viral load was significantly lower in the lungs of mice transfected with pLKD-NP-391 than in the control plasmid and mock transfection groups (

p
<
0.01

and

p
<
0.05

, respectively). Thus, IAV production was inhibited by shRNAs targeting matrix IAV components; moreover, inhalation of a PEI/pLKD-NP-391 complex in aerosol form suppressed IAV production in infected mice. Thus, these shRNAs can be effective for the prevention and treatment of influenza virus infection.
Performance Evaluation System Based on Online Monitoring of Internet of Things
Authors: Li Ning , Zhang Qianhui , Zhao Zhuang
Published: April 2022

Research on performance evaluation system based on online monitoring of Internet of things technology, taking medical imaging equipment as an example. Build the performance management platform of the Internet of things through four aspects: data acquisition, network architecture, CPU, and display output. Select 100 medical imaging devices in clinical use in the hospital and divide them into the control group (50 sets) and the observation group (50 sets) according to different management modes. The control group adopts conventional performance management mode, and the observation group implements Internet of things performance management mode. Compare the differences of equipment operation performance, cost-effectiveness, and service effect between the two groups. The experimental results showed that the equipment utilization rate, operation rate, inspection schedule balance, and technician schedule balance of the observation group were better than those of the control group, and the difference was statistically significant (

P

 < 0.05). The quarterly cost-benefit increase of x-ray examination equipment, CT equipment, Mr equipment, interventional radiotherapy equipment, color ultrasound instrument, and nuclear medicine equipment in the observation group was higher than that in the control group (

P

 < 0.05). The satisfaction of imaging doctors, technicians, engineers, and patients with the equipment service quality of the observation group was higher than that of the control group; the difference was statistically significant (

P

 < 0.05). It is proved that the Internet of things performance management platform of medical imaging equipment can solve the problems of untimely information collection and unscientific scheduling during equipment operation, realize the real-time display and statistics of equipment operation performance, and improve the operation efficiency and service level of medical imaging equipment.
[Retracted] Predictive Value of Perioperative Cytokine Levels on the Risk for In‐Stent Restenosis in Acute Myocardial Infarction Patients
Authors: Chen Dingdao , Xie Xueli , Lu Yinling , Chen Shengli , Lin Sunmei
Published: April 2022

To investigate the value of perioperative cytokine levels in predicting the risk for in‐stent restenosis in patients with acute myocardial infarction. 452 patients with acute myocardial infarction admitted to our hospital between June 2018 and June 2020 were prospectively selected as subjects. All patients underwent percutaneous coronary intervention. The baseline data of the patients were collected. Venous blood was taken before, 24 hours, and 3 days after the operation to detect the levels of related cytokines. Follow‐up was performed for 1 year. The patients were assigned to restenosis and nonrestenosis groups according to the presence and absence of restenosis. Multivariate logistic analysis was used to explore the influencing factors of the risk for in‐stent restenosis in patients with acute myocardial infarction. By July 1, 2021, 449 cases had been followed up. Of them, 44 cases suffered from in‐stent restenosis and 405 cases did not affect in‐stent restenosis. The incidence of in‐stent restenosis was 9.80%. Before, 24 hours, and 3 days after the operation, the lipoprotein‐associated phospholipase A2 (Lp‐PLA2) level was significantly higher in the restenosis group than that in the nonrestenosis group. At 3 days after the operation, the interleukin 6 (IL‐6) level was significantly higher in the restenosis group than that in the nonrestenosis group (P < 0.05). Multivariate logistic analysis displayed that Lp‐PLA2 level preoperatively (OR = 1.048, 95% CI 1.029–1.068), Lp‐PLA2 level 24 hours postoperatively (OR = 1.013, 95% CI 1.007–1.019), Lp‐PLA2 level 3 days postoperatively (OR = 1.032, 95% CI 1.015–1.048), and IL‐6 level 3 days postoperatively (OR = 1.020, 95% CI 1.000–1.040) were risk factors for in‐stent restenosis (all P < 0.05). IL‐6 and Lp‐PLA2 levels can predict the risk for in‐stent restenosis in patients with acute myocardial infarction in the perioperative period.
English Speech Recognition System Model Based on Computer-Aided Function and Neural Network Algorithm
Authors: Zhang Jin
Published: April 2022

With the economic globalization continuous growth of China’s socioeconomic level tends to be internationalized, China’s attention to English has been significantly improved. However, the domestic English teaching level is limited, so it is impossible to correct students’ English pronunciation and make a reasonable evaluation at all times so that oral training has certain disadvantages. However, the computer-aided language learning system at home and abroad focuses on the practice of words and grammar, and the evaluation indicators are less and not comprehensive. In view of the complexity of English pronunciation changes, traditional speech recognition is difficult to recognize speech speed and improve its accuracy. Furthermore, to strengthen the English pronunciation of domestic students, a nonlinear network structure is studied in depth to simulate the human brain to analyze a model of speech recognition is established Mel frequency cepstrum characteristic parameters of human ear model and deep belief network. In this paper, the traditional computer pronunciation evaluation method is improved in an all-round way, and a set of high-quality speech recognition system of speech recognition method is constructed. Aiming at the above problems, it takes the students as the research, which proves that the method adopted in this paper can give the learners accurate pronunciation quality analysis report and guidance and correct their intonation and improve the learning effect, and the experimental data verify that the improved speech recognition system model recognition ability is higher than the traditional model.
Nonlocal Symmetry, CRE Solvability, and Exact Interaction Solutions of the (2 + 1)‐Dimensional Boussinesq Equation
Authors: Tao Sixing
Published: April 2022

The (2 + 1)‐dimensional Boussinesq equation is considered in this study. Nonlocal symmetries of the (2 + 1)‐dimensional Boussinesq equation are obtained by means of the truncated Painlevé expansion. The consistent Riccati expansion (CRE) solvability of the Boussinesq equation is derived. Three special forms of soliton‐cnoidal wave interaction solutions are discussed analytically and shown graphically.
Threshold Meaningful Secret Image Sharing Scheme Based on QR Code
Authors: Hu Fei , Yao Yuanzhi , Li Weihai , Yu Nenghai
Published: April 2022

In the traditional secret image sharing scheme (SIS), the noise-like cover image is vulnerable and thus suspicion is easily aroused by malicious users. Therefore, the meaningful secret image sharing scheme deserves investigation. In this paper, we introduce a new

k
,
n

threshold meaningful secret image sharing scheme based on QR code (MSIS-QR). In the proposed MSIS-QR, the secret image is shared with n QR codes, where each share of the scheme is a valid QR code and can be decoded by a QR code scanner. When k or more shares are collected, the secret image can be losslessly recovered by the Chinese remainder theorem. Experimental results indicate the advantages of our scheme in terms of recovered image quality and decoding time.
Corporate Pension Payment System under the Constraints of Cost of Capital: An Empirical Study
Authors: Shan Lingbin , Su Ming
Published: April 2022

Reducing the cost of capital is an effective way to increase stockholders’ wealth and can also constrain the amount of corporate pension payments. This paper, taking the companies listed on A‐share market during the year from 2008 to 2019 as samples, examines the influence path and effect of corporate pension on cost of capital. It is different from the research results of Western scholars that, in all the samples, corporate pensions reduce the cost of capital through debt and incentive effects. For labor‐intensive enterprises and those whose effective income tax rate is less than zero, corporate pensions fail to reduce the cost of capital significantly. While for capital‐and‐technology‐intensive enterprises, those whose effective income tax rate is more than zero, and those whose financing restraint is more or less than zero, corporate pension is proven to significantly reduce the cost of capital. Innovation performance has a partial mediating effect between corporate pensions and cost of capital.
Research on Text Similarity Measurement Hybrid Algorithm with Term Semantic Information and TF-IDF Method
Authors: Lan Fei
Published: April 2022

TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between texts, and semantic information enhanced methods distinguish between text documents poorly because extended vectors with semantic similar terms aggravate the curse of dimensionality. Aiming at this problem, this paper advances a hybrid with the semantic understanding and TF-IDF to calculate the similarity of texts. Based on term similarity weighting tree (TSWT) data structure and the definition of semantic similarity information from the HowNet, the paper firstly discusses text preprocess and filter process and then utilizes the semantic information of those key terms to calculate similarities of text documents according to the weight of the features whose weight is greater than the given threshold. The experimental results show that the hybrid method is better than the pure TF-IDF and the method of semantic understanding at the aspect of accuracy, recall, and F1-metric by different K-means clustering methods.
Health Transition Probability and Long-Term Care Cost Estimation
Authors: Cui Xiaodong , Duan Xuexiang , Chang Ching-Ter , Jiang Shuhua
Published: April 2022

The cost of long-term care (LTC) is one of the huge financial risks faced by the elderly and also is a significant challenge to the social security system. This article establishes a piecewise constant Markov model to estimate the dynamic health transition probability and based on actuarial theory to calculate the long-term care cost, in contrast to the static or nontransferable state hypotheses in traditional models. Using the Chinese Longitudinal Healthy Longevity Survey, this article found that the average cost of LTC for the elderly varies greatly due to gender and health conditions, the cost for women may increase by up to 75% compared to that for men, and the cost for unhealthy elderly may more than double compared to that for healthy elderly. Furthermore, if LTC is included in the medical insurance system, in theory, women's average pay price will be more than twice that of men.
[Retracted] Research on the Prediction of Port Economic Synergy Development Trend Based on Deep Neural Networks
Authors: Zha Anping , Tu Jianjun
Published: April 2022

After entering the new century, along with the further deepening of global economic and trade cooperation, the industrial division of labor has been newly developed globally, which brings the cooperation among countries in the international logistics chain more and more closely. As the core node linking domestic and foreign water transportation, ports play a very key role in the international logistics chain and have an extremely central position in the national logistics planning. The coordinated development of port economy is an important part of the economic development planning of port cities, and it is also the premise and basis for the comprehensive planning of port logistics infrastructure construction scale, logistics space layout, and port city logistics development direction and function positioning. Therefore, according to the availability of realistic data, this paper establishes a deep neural network prediction model for the collaborative development of ports and uses various port logistics indicators to predict the economic development trend, so as to realize a nonlinear mapping relationship between the level of port economic development and the side of port logistics demand. Meanwhile, the research of this paper will provide theoretical basis and corresponding practical tools for the coordinated development between regional economy and port logistics industry.
Integration and Development of Enterprise Internal Audit and Big Data Based on Data Mining Technology
Authors: Nan Nan
Published: April 2022

Auditing based on big data is the trend in the future audit development. First, the technical environment provides a technical support platform for continuous auditing. Through the development of information technology to promote the merger between financial services, the company’s business operations have been digitized, and the original paper audit is also facing changes. This article aims to study the integration and development of enterprise internal audit and big data based on data mining technology. To this end, this article proposes a big data audit system, improves and optimizes the clustering algorithm (key algorithm) of data mining, and designs experiments and analysis to explore its related effects and improved performance, so that it can be more suitable for the research topic. The experimental results of this article show that the improved big data audit system improves the resource perfection of internal audit by 17.4%. The improved algorithm’s accuracy rate has increased by 31.4%, and the best clustering ability has also been improved by 20.7%, which can be well applied to the company’s internal audit.
Development of Compartment Syndrome after Radial Artery Puncture in a Patient with Acute Hypoxemic Respiratory Failure due to COVID-19
Authors: Garner Orlando , Nunna Krishidhar , Braun Andrea
Published: April 2022

A 71-year-old man who was recently hospitalized for COVID-19 pneumonia complicated by acute hypoxemic respiratory failure and severe ARDS requiring noninvasive ventilation was transferred to our hospital from a rehabilitation facility for new onset right wrist and hand pain and swelling which had been attributed to arterial thrombosis and empirically treated with therapeutic anticoagulation. He developed numbness and paralysis in his right hand and was diagnosed with right forearm compartment syndrome requiring emergent fasciotomy. After a prolonged hospital stay complicated by respiratory failure requiring mechanical ventilation, he was discharged with improved, but not resolved, sensorimotor deficits. Arterial blood gas sampling is commonly performed in patients with acute hypoxemic respiratory failure, for assessment of oxygenation and acid-base status. It is considered a benign procedure, but it can lead to serious complications, such as bleeding and compartment syndrome. Risks and benefits of any procedure need to be weighed carefully and less is often more. Compartment syndrome is characterized by the 5 P’s—pain, pallor, paresthesia, pulselessness, and paralysis.
The Alkaline Resistance of Waterborne Acrylic Polymer/SiO2 Nanocomposite Coatings
Authors: Thuy Hoang Thi Huong , Ha Hoang Thu , Vuong Nguyen Thien , Nguyen Tuan Anh
Published: April 2022

This study presents a study on the influence of nano-SiO2 on the alkaline resistance of waterborne acrylic coating using some analysis methods such as FT-IR and UV-Vis spectroscopy, combined with FE-SEM analysis and monitoring weight and adhesion changes during exposure to the saturated Ca(OH)2 alkaline environment. The obtained results indicated that the alkaline resistance of acrylic coating enhanced appreciably when adding 2.5 wt% of nano-SiO2. Under the impact of the saturated Ca(OH)2 solution for 20 days of immersion, nanocomposite coating containing 2.5 wt.% of nano-SiO2 was only decreased by 3.6% of the weight and 15.4% of the adhesion, while the neat acrylic coating (without nano-SiO2) seriously reduced 25.4% of the weight and 39.1% of the adhesion.
Characterization and Parametric Optimization of EN-10149-2 Steel Welded Joints Made by MIG Welding
Authors: Behredin Kedir Beyene , Janaki Ramulu Perumalla , Habtamu Beri , Besufekad Negash , Tesfaye Negash
Published: April 2022

Advanced high strength steels (AHSS) are multiphase steels that contain various concentrations of ferrite, bainite, martensite, and retained austenite phases. The unique physical characteristics of AHSS present some challenges to welding and bonding processes. AHSS have tendency to change microstructure and mechanical properties by any welding process like other steels. Based on the significant applications in various industries, the experimental works are carried out on one of AHSS materials, EN-10149-2 S700MC, with thickness of 2 mm steel sheet metal by MIG welding process parameters such as current, voltage, and welding speed. For all combinations of process parameters, the butt joints are fabricated. The butt joints are inspected through different nondestructive testing for defects detection. All the defect-free joints are characterized through microstructure (at different zones of joint), hardness, and tensile tests. From the obtained mechanical test results, the process parameters are optimized through design of experiment techniques (DoE). The analysis from DoE method is used to identify which parameter is the most significant among all parameters. Confirmatory test is also done by taking the optimal parameters and the result shows that the improvement of the response variables is acceptable and also shows that the method that is used for optimization was valid.
Research on Garden Ecosystem Based on Monitoring Sensing Technology
Authors: Qiang Lixia , Wang Jie
Published: April 2022

Monitoring and evaluating the state variables of garden ecological processes on a long-term scale is one of the hot issues in current garden ecosystem observation research. In view of the problems of poor real-time transmission and storage of observation data in garden ecosystem observation stations, low data sharing, serious data fragmentation, weak construction of big data analysis platform, and lack of real-time prediction and early warning of garden fires, this paper combines remote sensing technology, vorticity correlation technology, and monitoring and sensing technologies such as quadratic survey technology and wireless sensor network, realizes long-term and continuous comprehensive observation of water, soil, air, and growth elements in garden ecosystems, provides the real-time automatic storage and display of carbon budget data, water flux data, flux of energy and meteorological data between garden ecosystems and the atmosphere, storage and display of garden ecosystem service functions, and quantity of value, realizes the monitoring of garden fires and the prediction and early warning of garden fire risks, and can also provide technical support and exploration for the long-term automated observation used for garden ecosystems.
Design of Pitch Control Software Infrastructure Based on Collaborative Filtering Algorithm
Authors: Li Gang , Roongruang Panya
Published: April 2022

The pitch control of electronic equipment is the overall and key problem of electronic equipment system. The traditional pitch control of electronic equipment mainly depends on the volume control table, but this method depends too much on the hardware design, the corresponding pitch control effect is relatively unstable, and the cost is high. Based on the research of traditional pitch control software, this project improves the collaborative filtering algorithm and reduces the range of nearest neighbour set of pitch samples by introducing clustering algorithm, to further shorten the search time of neighbour set and finally improve the real time and scalability of the system. To adapt to the environment and user preferences, this study proposes to calculate the attributes between different items when improving the collaborative filtering algorithm, so as to further determine the unique attributes between items and determine the similarity between items, so as to introduce the pitch preference correction factor based on user attributes, so as to realize the high precision of electronic equipment based on pitch control software preference recommendation setting. Based on this, this project takes the improved collaborative filtering algorithm as the core algorithm to build a set of digital TV pitch control software system and realizes the verification of the algorithm proposed in this study based on MATLAB simulation software. The experimental results show that the pitch control accuracy of the algorithm is about 10% higher than that of the traditional algorithm. In terms of the intelligence of the corresponding algorithm, the algorithm proposed in this study has obvious advantages compared with the traditional algorithm. At the same time, its intelligent recommendation to users also has high intelligence, and the corresponding intelligent recommendation rate is about 4%–10% higher than that of the traditional algorithm, which proves that the algorithm in this study has obvious advantages.
Efficacy and Safety of Endoscopic Resection for Small Gastric Gastrointestinal Stromal Tumors in Elderly Patients
Authors: Cai Changzhou , Yang Jinpu , Ren Mengting , Lv Lu , Zhou Xinxin , Yu Mosang , Ji Feng
Published: April 2022

Background. Gastrointestinal stromal tumors (GISTs) are prevalent in elderly patients. Endoscopic resection has become popular for treating small (≤5 cm) gastric GISTs. However, little is known about the outcomes of endoscopic resection in elderly patients. Aim. To assess the efficacy and safety of endoscopic resection for small (≤5 cm) gastric GISTs in elderly patients (≥65 years old). Methods. A total of 260 patients (265 lesions) with gastric GISTs treated via endoscopic resection from January 2011 to May 2020 were retrospectively analyzed. Among them, 65 patients were ≥65 years old (elderly group), and 195 patients were <65 years old (nonelderly group). Clinicopathological characteristics, postoperative complications, and tumor recurrence rates between the two age groups were compared. Results. A total of 260 patients with primary small (≤5 cm) gastric GISTs were treated with endoscopic resection. The median ages of the elderly and nonelderly groups were 68 (range 65-83) years and 55 (range 32-64) years, respectively. Elderly patients showed a higher incidence of comorbidities compared with nonelderly patients (61.5% versus 32.3%s, respectively;

p
<
0.001

). All elderly patients and 99.0% of nonelderly patients underwent en bloc resection; only two nonelderly patients received piecemeal resection. No significant differences were found regarding postoperative complications or tumor recurrence rates between the two groups. Conclusions. Although elderly patients had more comorbidities than nonelderly patients, both groups had similar postoperative complications and recurrence rates. We suggest that endoscopic resection performed by experienced endoscopists is safe and effective for treating small (≤5 cm) gastric GISTs in elderly patients.
Research on the Impact of Hydro-PV Complementary System Operation on Power Grid Based on New Energy Consumption
Authors: Zhao Xunxin , Ren Yan , Sha Yongbing , Zhang Linlin , Hou Shangchen , Xiao Fengming , Chen Feiming , Chen Shudong , He Kuidong , Luo Lijun , Jiang Xiaofeng
Published: April 2022

Considering the random, intermittent, and periodic characteristics of photovoltaic (PV) power generation, its active output must be compensated and regulated by other conventional power sources. Taking the Longyangxia hydropower station as an example, this study models the output of PV generator sets and hydropower units under different conditions, taking into account the influence of weather and seasonal factors on the characteristics of PV power generation and hydropower generation. We also analyze the hydro-PV resource distribution and output characteristics of Longyangxia and construct the integration of hydro-PV complementary in Longyangxia. The impact of hydro-PV integration on the power grid is discussed in terms of other new energy consumption and peaking capacity, and the impact of the Yellow River water dispatch and downstream gradient power generation. It is demonstrated that hydropower is a good complementary resource to PV power generation, which not only improves the quality of the grid but also enhances the new energy consumption capacity. Through the construction of the Longyangxia hydro-PV complementary project, it can increase the economic benefits of the power grid and play an important role as a reference for subsequent projects.
Analysis of International Competitiveness of China’s Mobile Phone Industry Based on Data Mining Algorithm
Authors: Lu Jun , Lv ZhongLi
Published: April 2022

In order to analyze the international competitiveness of China-made mobile phones, this paper combines data mining algorithms to analyze the international competitiveness of China’s mobile phone industry, improve the international market share of China-made mobile phones, and study the concept of multiattribute problems and related research methods. Moreover, the paper carries out the model description of the selected research methods combining principal component analysis, data envelopment analysis, and sorting method approaching the ideal solution. In addition, this paper expounds on the principles and models of PCA, DEA, and TOPSIS and selects an intelligent algorithm suitable for this model. Finally, this paper verifies the validity of the model proposed in this paper, conducts statistical analysis through the data mining model, evaluates the data mining effect through multiple simulation exercises, and verifies the validity of the system model.
Green Analytical Approach for the Determination of Zinc in Pharmaceutical Product Using Natural Reagent
Authors: Sharma Hemraj , Sharma Arjun , Sharma Bimala , Karna Sonu
Published: April 2022

A selective, sensitive, and environmentally safe spectrophotometry method was developed and validated for the determination of zinc in pharmaceutical substances using natural reagents obtained from the leaves of plant Acacia catechu. Different factors were optimized such as volume of reagent, selection of pH, and stability of the color complex. The drug showed a stable yellowish orange color complex at 550 nm. The greenness of the methods was estimated using an eco-scale tool where the presented method was found to be excellent green with an ecoscore of 84 based on spectrophotometric determination. Also, the greenness of the method was assessed by the Green Analytical Procedure Index and found to be eco-friendly. The method was validated in conformance with ICH guidelines, with acceptable values for linearity, accuracy, precision, LOD, and LOQ. The linearity range for zinc sulphate was 5–25 μg mL−1 with an R2 value of 0.996. The % RSD for intraday precision and interday precision was less than 2%. The suggested method can be employed for the economic analysis of zinc in its pure form and various formulations. The presented spectrophotometric method is the first analytical method for the analysis of zinc present in zinc sulphate and showed greater ecoscale as compared to the official method.
Analysis of Intelligent Physical Education Teaching Scheme Based on 5G Communication + VR Technology
Authors: Dong Yinghui
Published: April 2022

In order to improve the physical quality of college students and increase students’ interest and focus on physical education teaching, this study constructs a smart physical education teaching scheme system platform by combining 5G communication + VR technology. Students can download sports teaching videos in the system platform, and then conduct 3D decomposition and playback of sports actions through matching VR glasses, guide and correct students’ body actions from a professional perspective, arouse students’ interest with interesting teaching courses, make them actively study, explore the improvement methods of various sports actions, and realize extracurricular discussion. Through the follow-up analysis of students by questionnaire survey and other methods, it is concluded that the reformed teaching system has a positive impact on students’ physical quality, extracurricular exercise, and entertainment ideology, and comprehensively improved the all-round and healthy development of students’ body and mind.
Comparison of Two Tonometers in the Evaluation of 24-Hour Intraocular Pressure and Mean Ocular Perfusion Pressure in Patients with Thyroid-Associated Ophthalmopathy
Authors: Liu Weijie , Zhou Yao , Hu Xiaozhou , Jin Haochen , Ye Jie , Xu Mingna , Liu Zihui , Wu Wencan , Tu Yunhai
Published: April 2022

Purpose. The aim of the study is to compare a non-contact tonometer (NCT) and goldmann applannation tonometer (GAT) in the evaluation of intraocular pressure (IOP) and mean ocular perfusion pressure (MOPP) in patients with thyroid-associated ophthalmopathy (TAO). Methods. In this study, a total of 30 patients (16 females and 14 males) were recruited. All patients underwent a routine ophthalmic assessment and their medical history was acquired. Clinical assessment included the 24-hour measurement of intraocular pressure and blood pressure, an orbital computed tomography (CT) scan, and a visual field (VF）test. Patients were divided into two groups according to their visual field test results: a defect group with mean deviation (MD) of visual field −2 dB or lower and a normal group with MD over −2 dB. Results. Bland–Altman’s analysis showed similar results of IOP at every time point and revealed an agreement of mean IOP between the two tonometers (the deviation in the mean IOP between the two tonometers was 1 mmHg, with 95% limits of agreement of 8.8 to −6.8 mmHg). The 24-hour MOPP SD value in NCT (2.28) and GAT (1.77) showed that the two instruments had the same diagnostic efficacy (100% sensitivity, 95.8% specificity). The areas under the receiver operator characteristic (ROC) curve of the 24-hour mean ocular perfusion pressure (MOPP) SD (GAT: 0.778, NCT: 0.713; z = 0.669,

P
=
0.504

), 24-hour MOPP fluctuation (GAT:0.683, NCT:0.757; z = 0.963,

P
=
0.336

) measured by GAT and NCT had no significant difference between the two tonometers. Conclusions. The measurement of IOPs, MOPPs, and their diagnostic efficacy of visual field defect showed consistency between NCT and GAT. The study highlights the importance of monitoring the 24-hour MOPP and IOP in TAO patients. Furthermore, it suggests that the less invasive NCT can replace GAT as a long-term monitoring device in TAO patients.
Recent Biomimetic Approaches for Articular Cartilage Tissue Engineering and Their Clinical Applications: Narrative Review of the Literature
Authors: Abu Owida Hamza
Published: April 2022

Since articular cartilage is lacking blood vessels and nerves, its capacity to heal is extremely limited. This means that ruptured cartilage affects the joint as a whole. A health issue known as osteoarthritis can develop as a result of injury and deterioration. Osteoarthritis development can be speeded up by the widespread deterioration of articular cartilage, which ranks third on the list of musculoskeletal disorders requiring rehabilitation, behind only low back pain and broken bones. The current treatments for cartilage repair are ineffective and rarely restore full function or tissue normalcy. A promising new technology in tissue engineering may help create functional cartilage tissue substitutes. Ensuring that the cell source is loaded with bioactive molecules that promote cellular differentiation and/or maturation is the general approach. This review summarizes recent advances in cartilage tissue engineering, and recent clinical trials have been conducted to provide a comprehensive overview of the most recent research developments and clinical applications in the framework of degenerated articular cartilage and osteoarthritis.
Efficacy Analysis of the Reinforcing and Circulation-Promoting Protocol of Acupuncture and Moxibustion in Treatment of Twenty-Four Patients with Refractory Chronic Low Back Pain
Authors: Zhou Jincao , Wang Jingjing , Chen Zhongjie , Wu Mozheng , Jiao Yue , He liyun
Published: April 2022

Objectives. The purpose of this study was to observe the clinical efficacy of the reinforcing and circulation-promoting protocol of acupuncture and moxibustion in treatment of refractory chronic low back pain, analyze therapeutic principles to obtain treatment efficacy, and develop new therapeutic principles to treat chronic low back pain. Methods. Twenty-four patients from the registry of patients suffering from refractory chronic low back pain were invited to our self-controlled case series, which was conducted in “real-world” settings. We implemented the reinforcing and circulation-promoting protocol of acupuncture and moxibustion to treat these patients and used the Visual Analogue Scale (VAS) and the Oswestry Disability Index (ODI) as the observation indices. Results. All 24 patients completed the treatment of acupuncture and moxibustion. The VAS of low back pain was 6.83 ± 2.18 before treatment and 2.13 ± 1.45 after treatment. The difference before and after treatment was significant (

P

 < 0.001). The ODI was 28.21 ± 13.06 before treatment and 16.63 ± 7.20 after treatment. Their difference before and after treatment was significant (

P

 < 0.001). Conclusion. The reinforcing and circulation-promoting protocol of acupuncture and moxibustion is effective in treating refractory chronic low back pain mainly because low back pain can be significantly relieved and motor function can be promoted. This trial was registered with AMCTR-OOO-17000045 (3 December 2016).
PLAC8 Overexpression Promotes Lung Cancer Cell Growth via Wnt/β-Catenin Signaling
Authors: Chen Wei , Wu Junlu , Wang Weiwei , Yu Li , Xu Xianghuai
Published: April 2022

The PLAC8 expression in lung cancer tissues and in vitro grown lung cancer cells, as well as the involvement of the Wnt/β-Catenin signaling pathway, was investigated in this process. PLAC8 protein expression in human lung cancer tissues and lung tumor cells of different strains was discovered using immunohistochemistry staining and Western blot, respectively. Animal models of PLAC8 overexpression and knockdown were created using lentivirus. The development in tumor tissue was seen both in vitro and vivo. The Wnt/β-Catenin signaling pathway played an important part in this process, as shown by the dual luciferase reporter gene system. PLAC8 expression was elevated in lung cancer tissues and plasma and decreased in plasma after lung tumor resection. PLAC8 upregulation promotes cell proliferation in vivo and in vitro, while PLAC8 downregulation inhibits cell viability and proliferation. The results of the dual luciferase reporter gene system suggest that PLAC8 can significantly activate the Wnt/β-Catenin signaling pathway in cells and can conduct signaling through it. A potential treatment targeting the prognosis of lung cancer patients may be PLAC8 overexpression, which promotes the lung cancer cell proliferation through controlling the Wnt/β-Catenin signaling pathway.