bluuebunny/crossref_metadata_2025 huggingface dataset:
Cross-Border E-Commerce Platform Logistics and Supply Chain Network Optimization Based on Deep Learning
Authors: Guo Hongli , Zou Tong
Published: May 2022

E-commerce and logistics are symbioses with each other, but cross-border e-commerce (CBEC) still cannot break away from cross-border logistics. With the progress of economic internationalization, economic and trade ties around the world have become closer and closer, and the level of international business exchanges has been improved. The rise of multinational e-commerce has also caused unprecedented difficulties to multinational logistics and supply chain management. The application of deep neural networks in various fields provides opportunities for cross-border e-commerce platforms to solve these problems. The existing logistics distribution model cannot keep up with the development of CBEC and has become a constraint and bottleneck for the development of CBEC. Therefore, this article introduces deep learning neural network to cross-border logistics and supply chain based on the analysis of the existing cross-border logistics model and supply chain model and the status quo of e-commerce development. It optimizes the existing cross-border logistics and supply chain network in order to break through the current bottleneck in the development of CBEC. This paper shows through research that introducing deep learning neural networks into CBEC logistics and supply chain can improve the efficiency of logistics and supply chain. Compared with the previous efficiency, the efficiency of network optimization can be increased to about 50%, reducing the cost of cross-border logistics and supply chain. The research in this article has great theoretical and guiding significance for the development of CBEC.
Accurate Ranging Based on Transmission Line Channel Monitoring Image and Point Cloud Data Mapping
Authors: Dai Yongdong , Wang Maofei , Mao Feng , Yao Jianguang , Wang Shenyu
Published: May 2022

Three-dimensional (3D) mapping of power lines is essential for power line inspection. Many remotely sensed data products like light detection and ranging (LiDAR) have been examined for power line surveys. More and more data are being obtained via photogrammetric measurements. This increases the need for the implementation of advanced processing techniques. In recent years, there has been a significant advancement in visualization techniques for power lines using unmanned aerial vehicle (UAV) platform photography. The most advanced of such imaging systems can create dense point clouds. However, the accuracy is very often unstable and dependent on the radiometric quality of images and the efficiency of the image processing technique. In this study, the two-dimensional information is obtained by photographing the real-time panorama of the transmission line channel using a 3D camera, and the three-dimensional information is acquired using laser radar technology. The three-dimensional point orientation of the target object and the transmission line is determined using the mapping relationship between two and three dimensions, the obtained data are calculated, and the calculation results are produced. The proposed method can solve the problem of the image sensor being unable to map spatial distance and can provide broad coverage of the transmission line channel and 24-hours accurate real-time remote monitoring.
Current Trends and Future Perspectives of Nanomaterials in Food Packaging Application
Authors: Chadha Utkarsh , Bhardwaj Preetam , Selvaraj Senthil Kumaran , Arasu Kaviya , Praveena S. , Pavan A. , Khanna Mayank , Singh Prabhpreet , Singh Shalu , Chakravorty Arghya , Badoni Badrish , Banavoth Murali , Sonar Prashant , Paramasivam Velmurugan
Published: May 2022

Nanotechnology can improve the mechanical barrier and the antimicrobial (which will not allow the invasion of microorganisms in the food, increasing the food barrier properties, hence can be a very promising material for food packaging. Nanomaterials will keep the food fresh in the food packaging design. Silver nanoparticles and nanoclay represent most of the nanoempowered food packaging available on the market others like zinc oxide and titanium share little of the current market. Zinc oxide enhances nutritional values in food products by adding nutrients. It helps improve the flavour, storage properties, appearance, and texture of the food. Titanium dioxide is used for food safety purposes since it prevents food from spoiling and increases the food’s shelf life. In current food packaging, these nanomaterials are used to grant antimicrobial capacity and further develop hindrance properties, broadening packaged food’s shelf life and newness. Nanofood packaging has many benefits for general wellbeing. The related harmfulness of migration, particularly in acidic conditions, is extensive. The use of nanomaterials because of their physical and chemical properties makes them broadly accessible in numerous areas. This review summarizes the antimicrobial packaging application, nanomaterials synthesis, and nanomaterial properties in food packaging.
On New Polynomial Sequences Constructed to Each Vertex in an n‐Gon
Authors: Ganie Abdul Hamid , ŏzkan Engin , Uysal Mine , Akhter Afroza
Published: May 2022

In this work, we bring to light the properties of newly formed polynomial sequences at each vertex of Pell polynomial sequences placed clockwise at each vertex in the n‐gon. We compute the relation among the polynomials with such vertices. Moreover, in an n‐gon, we generate a recurrence relation for a sequence giving the mth term formed at the kth. Similar to the situations we are talking about, we applied to Pell‐Lucas polynomials, Jacobsthal polynomials, and Jacobsthal‐Lucas polynomials and have obtained new relations recurrence.
Forecast of Ground Deformation Caused by Tunnel Excavation Based on Intelligent Neural Network Model
Authors: An Puzhen , Jia Baoxin , Meng Fanli , Wang Zhixin , Wei Hailiang , Zhang Yinghui
Published: May 2022

With the development of science and technology, the demand for traffic has increased, and the requirements for tunnel excavation have become more and more stringent. Tunnel excavation is an important traffic construction engineering technology. Due to the influence of many factors in the excavation process, surface settlement or deformation will inevitably occur, so its deformation must be predicted in real time to prevent safety accidents and property losses. The previous numerical methods and neural network methods cannot accurately predict in real time, and the intelligent neural network model can more accurately predict the deformation of the ground because of the characteristics of adaptive organizational learning according to different situations and different environments. This article aims to study and design an intelligent neural network model to predict and calculate the amount of ground deformation caused by the tunnel excavation process. An intelligent neural network model with more accurate prediction is proposed, and simulation experiments are carried out on tunnel excavation of different terrains, and the accuracy of the model for predicting the deformation amount is calculated. The experimental results show that the prediction error range of the model is 10 times smaller than that of the traditional neural network. The prediction accuracy of this model is above 95%, and the volatility rate of prediction accuracy is lower than 11%, while the volatility rate of traditional prediction accuracy is even more than 365%. The intelligent neural network model can effectively predict the deformation of tunnel excavation.
A Probe into the Counterfeiting of Academic Journals from Multiple Player Perspective
Authors: Lei Ai , Qian Chuhan
Published: May 2022

Scholars have been suffering from scams involving counterfeit academic journals for a long time, and there has been a relatively clear analysis of the causes of counterfeiting and the governance path for it in existing studies. However, the authors reexamined the counterfeiting and found the problem still prevails. Through the analysis of the multiple players involved in counterfeiting, the author points out that the current personnel evaluation mechanism and journal evaluation system are the root causes of counterfeiting and thus offer corresponding suggestions for further improvement.
Rubinstein–Taybi Syndrome in a Filipino Infant with a Novel CREBBP Gene Pathogenic Variant
Authors: Yumul Rhea Camille R. , Chiong Mary Anne D.
Published: May 2022

Rubinstein–Taybi syndrome (RSTS) is a rare genetic disorder characterized by dysmorphic facial features, broad thumbs and halluces, intellectual disability, and postnatal growth retardation. This report presents a male infant with microcephaly and characteristic facial features, namely, low anterior hairline, hirsutism, thin upper lip and micrognathia, broad thumbs and first toes, cryptorchidism, recurrent pneumonia, developmental delay, and growth retardation. Genetic testing showed a novel pathogenic variant in the CREBBP gene which is consistent with the clinical diagnosis of RSTS.
Joint DOD and DOA Estimation of Bistatic MIMO Radar for Coprime Array Based on Array Elements Interpolation
Authors: You Zhiyuan , Hu Guoping , Zheng Guimei , Zhou Hao
Published: May 2022

This paper proposes a method to address the problem of the joint direction of departure (DOD) and direction of arrival (DOA) estimation with augmented coprime array (CPA) bistatic multiple input multiple output (MIMO) radar using interpolating sensors. At first, we deduce the regular pattern of hole positions in the virtual array and interpolate a small number of sensors to augmented CPA to form a partially contiguous virtual array. Then, we use the diversity smoothing algorithm to reconstruct the Toeplitz matrix to obtain a spatial smoothing matrix. Finally, we combine the RD-MUSIC algorithm with the spatial smoothing matrix to estimate the spatial spectrum and achieve automatic matching of DODs and DOAs for the targets. Simulation results clearly illustrate the superiority of the method.
Autonomous Multiport Solar Power Plant with Lithium Ion Battery Storage Using a Voltage Source Inverter for Automotive Applications
Authors: Vijayashankarganth P. , Kumar S. Sathish , Meenakumari R. , Gobinath T. , Vinoth K. , Raja Sekhar G. G. , Sankoh Martin
Published: May 2022

Electrical power systems are accessible in renewable energy systems, and hybrid battery systems or energy storage systems (ESS) are capable of delivering uninterruptible power to the demand even if faults occur. Additionally, the energy storage device increases system dynamics during power fluctuations. A photovoltaic (PV) battery hybrid system with an ESS link is considered, and an impact leveling management system is planned to transfer the ability to load as well as the battery. Electricity generation is vital, and also the method is fairly complicated. The goal of lowering production prices, maintaining instrumentation, and its fuels, all play necessary roles within the method. As a result, producers should import fuel to satisfy the electrical demand, the assembly value rises. We are considering using renewable energy sources to avert a harmful economic imbalance. We tend to introduce a replacement system to complete the load of alternative energy. To boost inertia and improve frequency responsiveness, load side inverters linking PV to grid and energy storage systems are used on a utility-scale (ESS). Furthermore, with growing PV penetration, independent development of PV and ESS linking to the load and the battery is one of the alternatives for steady operation of the standalone system. The associate integrated the idea for PV and ESS integration to AC load and ESS and it is used for automotive applications.
Global Existence for the 3D Tropical Climate Model with Small Initial Data in H˙12/ℝ3∗
Authors: Zhang Hui , Xu Juan
Published: May 2022

The well‐posedness problem is an important but challenging research topic in nonlinear partial differential equations. In this paper, we establish a global‐in‐time existence result of strong solutions for small initial data in terms of the norm on three‐dimensional tropical climate model with viscosities by derive a blow‐up criterion combine with energy estimates. This result can be regard as a generalization of the famous Fujita–Kato result to 3D Navier–Stokes equations.
Research and Analysis on the Integration of Artificial Intelligence in College English Teaching
Authors: Jiang Dashan , Pei Yubing , Yang Gongping , Wang Xue
Published: May 2022

With the rapid development of modern information technology, students’ education and computer technology begin to blend, and the modern teaching mode is quite different from the traditional education mode known in the past. In view of the current college English teaching in the information age, this study puts forward the way of integrating computer information technology with college English teaching, improves MLP algorithm, puts forward a new artificial intelligence algorithm, improves its calculation efficiency, and uses the optimized GA-MLP-NN (Genetic Neural Network Algorithm for the Multilayer Perceptron) algorithm in college students’ oral correction program. Firstly, GA-MLP-NN algorithm is used to optimize college English teaching so that more complex structures can be learned and dealt with. Incremental hidden layer unit neural network is added, which makes the operation more accurate based on S-type recursive function. Then, the oral English system is established, using the GA-MLP-NN neural network model. Finally, we evaluate the parameters of the model, design a comparative experiment and a questionnaire survey to verify the rationality and feasibility of the guess, which proves that this method can deal with more complex programs, and make students learn English more handy and close to students’ needs by using computer technology.
Respiratory Syncytial Virus Nonstructural Protein 1 Promotes 5-Lipoxygenase via miR-19a-3p
Authors: Zheng Mei , Fan Panpan , Yang Pu , Zheng Junwen , Zhao Dongchi
Published: May 2022

Background. Respiratory syncytial virus (RSV) infection can regulate the expression of a wide range of noncoding microRNAs (miRNAs), in which mir-19a-3p can participate in airway inflammatory response by regulating 5-lipoxygenase (5-LO) pathway. RSV nonstructural protein (NS) 1 is involved in the airway hyperresponsiveness during RSV infection. Methods. The expression levels of miR-19a-3p and inflammatory signaling-related indicators were detected using quantitative real-time PCR and western blot analyses on the A549 cells transfected with NS1 expression plasmids (pNS1). The 5-LO-mediated inflammatory signaling pathway was assessed when the miR-19a-3p or 5-LO was inhibited. Results. The immunofluorescence analysis showed that the plasmid-mediated NS1 protein was observed in both the cytoplasm and nucleus. The expression level of miR-19a-3p was significantly upregulated in the pNS1 or RSV-treated cells, which was reversed by the NS1 small interfering RNA. In addition, pNS1 also upregulated the expression of 5-LO, interleukin-5 (IL-5), and leukotriene B4 (LTB4), which was also significantly inhibited by the miR-19a-3p antagonists. The 5-LO inhibitor MK886 prevented the increase in the expression level of IL-5 induced by pNS1. Conclusions. These results suggested that the RSV NS1 might play an important role in the pathogenesis of RSV by activating the 5-LO and subsequent inflammatory cytokines through miR-19a-3p.
Effectiveness of High Power Laser Therapy on Pain and Isokinetic Peak Torque in Athletes with Proximal Hamstring Tendinopathy: A Randomized Trial
Authors: Verma Sachin , Esht Vandana , Chahal Aksh , Kapoor Gaurav , Sharma Sorabh , Alghadir Ahmad H. , Khan Masood , Kashoo Faizan Z. , Shaphe Mohammad A.
Published: May 2022

Athletes such as long‐distance runners, sprinters, hockey, and/or football players may have proximal hamstring tendinopathy (PHT). Laser therapy has been shown to be effective in tendinopathies. High power laser therapy (HPLT) is used for the treatment of several musculoskeletal conditions; however, its efficacy on PHT has not been investigated. This study is aimed at examining the effects of HPLT on pain and isokinetic peak torque (IPT) in athletes with PHT. The two‐arm comparative pretest‐posttest experimental design was used with random allocation of 36 athletes aged 18‐35 years into two groups (experimental and conventional group). The experimental group included the application of HPLT for 3 weeks. The conventional group included treatment with a conventional physiotherapy program including ultrasound therapy, moist heat pack, and home exercises for a total of 3 weeks. Pain and IPT of the hamstring muscle were measured before and after the application of the intervention. Pain score decreased, and IPT increased significantly (p < 0.05) after application of HPLT, by 61.26% and 13.18%, respectively. In the conventional group, a significant difference (p < 0.05) was observed in pain scores only, which decreased by 41.14%. No significant difference (p > 0.05) was observed in IPT in the conventional group. When HPLT was compared with conventional physiotherapy, a significant difference was found in pain scores only. HPLT for 3 weeks was found to be effective in improving pain in athletes with PHT. However, no significant difference was found between HPLT and conventional physiotherapy (US, moist heat, and home exercises) in improving the IPT of the hamstring muscle.
Analgesic Effects of Dexmedetomidine Combined with Spinal and Epidural Anesthesia Nursing on Prostate Hyperplasia Patients after Transurethral Resection of Prostate by Intelligent Algorithm-Based Magnetic Resonance Imaging
Authors: Zhang Xiaoyan , Bo Manyun , Zeng Rong , Zou Liping , He Yanfang
Published: May 2022

To analyze the investigation of the application effects of different doses of dexmedetomidine (Dex) with combined spinal and epidural anesthesia nursing on analgesia after transurethral resection of prostate (TURP) by intelligent algorithm-based magnetic resonance imaging (MRI), MRI imaging segmentation model of mask regions with convolutional neural network (Mask R-CNN) features was proposed in the research. Besides, the segmentation effects of Mask R-CNN, U-net, and V-net algorithms were compared and analyzed. Meanwhile, a total of 184 patients receiving TURP were selected as the research objects, and they were divided into A, B, C, and D groups based on random number table method, each group including 46 cases. Patients in each group were offered different doses of Dex, and visual analogue scale (VAS) and Ramsay scores of different follow-up visit time, use of other analgesics, the incidence of postoperative cystospasm, and nursing satisfaction of patients in four groups were compared. The results demonstrated that Dice similarity coefficient (DSC) value, specificity, and positive predictive value of Mask R-CNN algorithm were

0.623
±
0.084

, 98.61%, and 69.57%, respectively, all of which were higher than those of U-net and V-net algorithms. Pain VAS scores and the incidence of cystospasm at different time periods of groups B and C were both significantly lower than those of group D (

P
<
0.05

). Ramsay scores of groups B and C at 8 hours, 12 hours, 24 hours, and 48 hours after the operation were all remarkably higher than those in group D (

P
<
0.05

). Besides, nursing satisfaction of groups B and C was obviously superior to that in group D, and the difference demonstrated statistical meaning (

P
<
0.05

). The differences revealed that Dex showed excellent analgesic and sedative effects and could effectively reduce the incidence of complications after TURP, including cystospasm and nausea. In addition, it helped improve nursing satisfaction and patient prognosis.
Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
Authors: Zong Bochen
Published: May 2022

Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wireless sensor monitoring network for timely and accurately grasping nuclear radiation status and ensuring nuclear safety. In this article, we design a regional environmental nuclear radiation monitoring system based on Zigbee wireless sensor network by using Zigbee wireless technology. First, the network topology suitable for nuclear radiation environment monitoring is designed. Second, the JN5121 module is selected as the core of the Zigbee wireless sensor to build the network hardware platform. Finally, the article focuses on the receiving mechanism, data transmission, coordination between network nodes, network structure, and dynamic network management, and carries on the software development to the Zigbee wireless environment monitoring network. The system can measure the data in real time, display the dose rate of y radiation effectively, and realize the functions of remote control, field control, security alarm, and environmental monitoring. It has good promotion and application value.
[Retracted] Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression
Authors: Zhao Ping , Huang Xinwei , Wu Anhao , Yang Xin , Fu Yang , Quan Yuhang , Zhang Ji , Li Zhen , Tang Qi , Wang Maohua
Published: May 2022

Growing cutting‐edge study has demonstrated the RNA m6A methylation’s critical role in regulating tumorigenesis and progression all over the world, while it is still a mystery whether RNA m6A methylation has a positive impact on breast cancer treatment. In this article, we utilize bioinformatics to analyze three data sets including TCGA‐BRCA, GSE96058, and GSE25066 and discover that breast cancer samples could be divided into 4 subtypes, which are quiescent, m6A methylation, protein‐binding, and mixed, clarified by the expression level of m6A‐related genes. R‐survival analysis results also prove that the survival rate of breast cancer samples of the four subtypes significantly varies and remarkable differences in the number of exons’ skip among the four subtypes can be seen according to the analysis of breast cancer gene expression characteristics. The degree of TP53 mutation and copy number loss is most obvious in the protein‐binding subtype when it comes to tumor driver genes. Among the DNA damage repair genes, there is a sharp increase in the copy number of RAD54B of the protein‐binding subtype, but fewer mutations in other DNA damage repair‐related genes and copy number deletion is everywhere. Results of m6A methylation influencing on the proportion of infiltrated immune cells also indicate significant differences of the four m6A subgroups in macrophages M0 and mast cells resting which are closely correlated to patient prognosis. In addition, findings of the highest tumor stemness index and the lowest in the m6A methylated type in breast cancer samples can prove the critical role of the high expression of m6A reader protein in the progression of breast cancer.
Acupuncture-Moxibustion Combined with Rehabilitation Training Is Conducive to Improving the Curative Effect, Cognitive Function, and Daily Activities of Patients with Cerebral Infarction
Authors: Zhang Ding , Huang Liemi , Zhang Lun , Gui Xinghua , Tao Jiping , Zeng Pengli , Ding Min
Published: May 2022

Objective. To elucidate the effect of acupuncture-moxibustion combined with rehabilitation training (RHT) on the curative effect, cognitive function (CF), and activities of daily living (ADL) of patients with cerebral infarction (CI). Methods. This study enrolled 150 patients with CI admitted to the Wuhan Sixth Hospital, Affiliated Hospital of Jianghan University from June 2020 to July 2021. Among them, 80 patients who were treated with acupuncture-moxibustion combined with RHT were included in the research group, and 70 patients who received acupuncture-moxibustion alone were included in the control group. The efficacy, CF, and ADL were observed in both groups, and the influences of the two therapies on serum uric acid (UA), high-sensitivity C-reactive protein (hs-CRP), and cystatin C (Cys-C) were compared. Among the various indexes, the CF of patients was assessed by the Montreal Cognitive Assessment (MoCA), and the ADL was evaluated by the Barthel index. Results. After treatment, the research group presented significantly better efficacy, CF, and ADL than the control group, with lower levels of serum UA, hs-CRP, and Cys-C than the control group and before treatment. Conclusion. Acupuncture-moxibustion combined with RHT can inhibit serum UA, hs-CRP, and Cys-C levels of patients with CI while improving the curative effect, CF, and ADL, which is worthy of clinical promotion.
Assessing Usability and Accessibility of Indian Tourism Websites for Visually Impaired
Authors: Agrawal Gaurav , Dumka Ankur , Singh Mayank , Bijalwan Anchit
Published: May 2022

The tourism industry cannot ignore the needs of people with special needs. Providing accessible tourism is essential because of social and legal obligations, but also because they have large business opportunities. These people with special needs face challenges in every social, economic, and digital environment. One of the greatest barriers they face is the lack of accessible and usable information on the Internet, which thwarts their travel plans. This research is aimed at identifying the usability and accessibility status of official state tourism websites of India. The usability evaluation was done on various web quality parameters using automated online tools. The accessibility evaluation was done to check the compliance of Web Content Accessibility Guideline version 2.0 by the tourism website using the automated tool TAW. Further manual inspection was applied to identify accessibility and language options on the webpage. The result revealed that Indian state tourism websites had low usability and accessibility status, and they need much improvement to make them accessible to people with special needs.
[Retracted] Low Carbon Economy Assessment in China Using the Super‐SBM Model
Authors: Ding Yanhong , Han Yu
Published: May 2022

This review proposes a performance evaluation system of low‐carbon economic development based on multiobjective analysis in low‐carbon environment. This is a modeling method combining super efficiency and relaxation‐based measurement model (super‐SBM model), which can effectively measure green innovation efficiency with unexpected outputs and traditional innovation efficiency without unexpected outputs. Using the Malmquist–Luenberger index method to dynamically analyze the efficiency of green innovation, a multiobjective model is obtained, including economic scheduling target considering wind power cost and low‐carbon scheduling target considering carbon trading. The efficiency of green innovation considering unexpected output is obviously lower than that of traditional innovation without considering unexpected output. This phenomenon is more pronounced in some areas of central and western China. Technical efficiency improves the innovation level of environmental protection economy in China and the impact of technological progress is greater than that of technical efficiency. In this review, the output super SBM model is used to study the development of China's low‐carbon industry, and the correlation between the prediction model and the performance change of low‐carbon economic development is analyzed. The Malmquist–Luenberger (ML) index of environmental protection product development efficiency in China is not less than 1. Due to the improvement of the efficiency of scientific and technological development, the combination of the two will eventually lead to the improvement of the development of green products and environmental economic products in China. Combining with the empirical analysis, this paper puts forward some methods to promote the low‐carbon economy in the economic zone.
Multimedia Technology of Spatial Data Mining Based on Genetic Algorithm
Authors: Sun Yingxin
Published: May 2022

In order to make key decisions more conveniently according to the massive data information obtained, a spatial data mining technology based on a genetic algorithm is proposed, which is combined with the k-means algorithm. The immune principle and adaptive genetic algorithm are introduced to optimize the traditional genetic algorithm, and the K-means, GK, and IGK algorithms are compared and analyzed. The results show that, in two different datasets, the objective functions obtained by the K-means algorithm are 94.05822 and 4.10373

×

10

6

, respectively, while the objective functions obtained by the GK and IGK algorithms are 89.8619 and 3.9088

×

10

6

, respectively. The difference between the three algorithms can also be reflected in the data comparison of the number of iterations. The number of iterations required for k-means to reach the optimal solution is 8.21 and 8.4, respectively, which is the most among the three algorithms, while the number of iterations required for IGK to reach the optimal solution is 5.84 and 4.9, respectively, which is the least. Although the time required for K-means is short, by comparison, the IGK algorithm we use can get the optimal solution in relatively less time.
Application of Improved Machine Learning and Fuzzy Algorithm in Educational Information Technology
Authors: Wang Zhangfu , Wang Guohu
Published: May 2022

In order to improve the teaching effect of intelligent education, this paper combines machine learning and fuzzy algorithm to improve the application effect of educational information technology and the use of information platform. Moreover, this paper collects the user’s behavior information in the process of using the platform as the user’s interest description and selects personalized upgrade resources for the user. In addition, this paper introduces the similarity as a personalized recommendation evaluation standard and calculates the average similarity between the recommended related resources and the user’s interest. Finally, this paper constructs an educational information system based on improved machine learning and fuzzy algorithms. The experimental research results show that the intelligent system proposed in this paper can play an important role in educational information processing and teaching quality improvement.
Force‐Electric Coupling of Nanoscale Ferroelectric Domains Based on Piezoelectric Force Microscopy (PFM)
Authors: Wang Xusheng , Feng Chenchen
Published: May 2022

Piezoelectric and ferroelectric materials are widely used in various types of microelectronics due to their excellent mechanical and electrical coupling characteristics. In recent years, piezoelectric force microscopy has developed into a powerful tool for analyzing nanoscale ferroelectric materials. However, quantitative analysis based on PFM is difficult to properly study it. This article studies the related issues of PFM quantitative analysis. First, the relationship between the effective piezoelectric coefficient and piezoelectric coefficient of different materials is analyzed from the PFM nanometer scale to analyze the force‐electric coupling effect. The study found that the effective piezoelectric coefficient is closely related to the intrinsic electroelastic constant of the material. Secondly, the analysis of the nanoscale piezoelectric deformation of ferroelectric materials shows that under the conductive SPM probe, as the clustering with the probe increases, the in‐plane displacement first increases and then decreases, and the out‐of‐plane displacement gradually decreases. Finally, the half‐width region of the nanoscale ferroelectric response domain was analyzed by PFM. Taking the in‐plane and out‐of‐plane domains of 180° and 90° domains as examples, the relationship between the response boundary domain and the tip radius was analyzed, and the results showed that whether the PFM can effectively solve the problem of detection and analysis depends on the half‐width of the response boundary domain, and the resolution of the vertical PFM is higher than that of the lateral PFM.
Efficient and Robust Combinatorial Option Pricing Algorithms on the Trinomial Lattice for Polynomial and Barrier Options
Authors: Wang Jr-Yan , Wang Chuan-Ju , Dai Tian-Shyr , Chen Tzu-Chun , Liu Liang-Chih , Zhou Lei
Published: May 2022

Options can be priced by the lattice model, the results of which converge to the theoretical option value as the lattice’s number of time steps

n

approaches infinity. The time complexity of a common dynamic programming pricing approach on the lattice is slow (at least

O

n

2

), and a large

n

is required to obtain accurate option values. Although

O

n

-time combinatorial pricing algorithms have been developed for the classical binomial lattice, significantly oscillating convergence behavior makes them impractical. The flexibility of trinomial lattices can be leveraged to reduce the oscillation, but there are as yet no linear-time algorithms on trinomial lattices. We develop

O

n

-time combinatorial pricing algorithms for polynomial options that cannot be analytically priced. The commonly traded plain vanilla and power options are degenerated cases of polynomial options. Barrier options that cannot be stably priced by the binomial lattice can be stably priced by our

O

n

-time algorithm on a trinomial lattice. Numerical experiments demonstrate the efficiency and accuracy of our

O

n

-time trinomial lattice algorithms.
Envelope-Based Variable-Gain Control Strategy for Vibration Suppression of Solar Array Using Reaction Wheel Actuator
Authors: Wu Song , Tang Guoan , Chen Bifa
Published: May 2022

The orbital operation of spacecraft can excite the long-drawn and low-frequency vibration of the solar array, which is prone to affecting the task execution of the system. To address this issue, an envelope-based variable-gain control strategy is proposed to suppress vibration of the solar array using the reaction wheel (RW) actuator. The RW actuator is individually mounted on the solar array to provide reaction torque through the speed change of its rotor. The governing equation of motion of the solar array actuated by a RW actuator is deduced with the state space representation. The control relation between the measured bending moment and the rotational speed of the RW actuator with the constant-gain coefficient is firstly developed and demonstrated in numerical simulation. Changing the gain coefficient to be inversely proportional to the envelope function of vibration, a variable-gain control strategy is proposed to improve the damping effect of the RW actuator. Simulation results show that the vibration suppression performance of the RW actuator is improved compared to the constant-gain control. As the actual on-orbit natural frequency of the solar array is not always exactly known, the robustness of the control system is analyzed for the deviation between the estimated and the actual natural frequency values. The proposed variable-gain control is also experimentally verified using a simplified elastic plate model. Experimental results indicate that the vibration attenuation time is decreased to 29.1% and 50.22% compared to the uncontrolled and the constant-gain controlled states, respectively.
Characteristics Analysis of Incubation Time of COVID‐19
Authors: Zhang Yanfang , Zhao Yibin , Ren Qingqing , Liu Bo
Published: May 2022

Objectives. The statistical characteristics of incubation time of COVID‐19 are studied comprehensively in this paper. We studied the mean value and tail characteristic of incubation time. Also, the difference in incubation time is studied in different age groups, different genders, and different contact modes. Methods. We analyzed the data by a lognormal distribution. Tail characteristics of incubation time are studied by the excess function. The difference in incubation time between different age groups, different genders, and different contact modes is studied by one‐way ANOVA. Results. The results showed that the mean value of incubation time is about 12.6 days, and the standard deviation is about 6.1 days. The incubation time of 95% of patients was within 24 days. Some patients have a very long incubation time according to the excess function. The incubation time was not related to age and gender but related to the suspected contact modes. Conclusions. The mean value of incubation time is consistent with the actual situation. The above results are a reasonable explanation for the phenomenon of super‐long incubation time in some patients and the development trend of epidemic situations.
[Retracted] Application of Nanoscaffold Material Combined with Exercise Rehabilitation Therapy in the Treatment of Athletes with Hip Injuries
Authors: Xiang Maojuan , Cao Feng , Peng Jiangui , Bai Guangbin
Published: May 2022

A nanoscaffold is a porous scaffold. It injects antibiotics, cells, and polymer particles into damaged cavities in the form of injectables and forms hydrogels after the molecules self‐assemble at the injection site. Sports rehabilitation is a new frontier field integrating sports, health, and medicine, also known as physical therapy. It is the use of various sports methods for the injured or disabled, so that they can fully recover their physical functions and spirits, and can make them reintegrate into society. It mainly studies the relationship between sports and health. Among the tissue engineering scaffolds used as seed cell carriers, nanomaterials are playing an increasingly important role in the study of joint injury and repair due to their unique effects such as cell adhesion and proliferation. The purpose of this paper is to study a reliable nanoscaffold material for the treatment of patients with hip injuries in athletes and to observe its actual effect in combination with sports rehabilitation therapy. In this paper, an electrospinning method was proposed to prepare nanoscaffold materials, and the nanoscaffold materials were applied to the exercise rehabilitation process of two groups of hip patients, and the data of the patients’ rehabilitation were calculated. The results showed that the OD value of the cells in the exercise rehabilitation therapy using nanofiber scaffolds increased significantly, and the average daily growth rate of the OD value was 0.112. And the rehabilitation after 5 months was 19.8 points higher in hip range of motion score, 11.3 points higher in overall function score, and 6.2% lower in complication rate compared with ordinary exercise rehabilitation therapy. Therefore, it can be concluded that the therapy of the nanofiber scaffold material combined with exercise rehabilitation can more efficiently help patients with hip joint injury to recover, and the probability of complications is lower compared with the traditional exercise rehabilitation therapy.
Assessment of the Effectiveness of Biophysical Soil and Water Conservation Structures: A Case Study of Offa Woreda, Wolaita Zone, Ethiopia
Authors: Bojago Elias , Senapathy Marisennayya , Ngare Innocent , Dado Tsegeye Bojago
Published: May 2022

Soil erosion is a serious environmental and natural resource issue in Ethiopia, posing a significant threat to agricultural productivity and being one of the principal drivers of land degradation and soil fertility reduction. Evaluating the biophysical soil and water conservation structures’ effectiveness in Offa Woreda, Wolaita Zone, was the focus of the study. Purposive sampling was used to select the three kebeles that make up this watershed. W/Dekeya, Wareza, and Yakima are the three watersheds chosen for the selected study area. To meet the objective of this study, 504, 325, and 442 family heads were sampled. They comprised the overall 17% (227) of the study participants that were selected. Those who knew how to conserve soil and water, causes of degradation, and sensitive areas of their own plots of land in the study area received preference. The lack of capital, a short stretch of land, and various socioeconomic and physical conditions impeded the use of soil and water conservation systems. As a result, farmers have a reasonable position of the current biophysical soil and water conservation systems. Farmers in the study communities are aware of some traditional soil and water conservation practices as a measure to protect and restore the fertility and productivity of their farmlands. Community participation in encouraging farmers to participate in soil and water conservation practices is critical to resolving the issue of cutting-edge poverty, food insecurity, and environmental deterioration. From the study, we recommend that the government implements specific coverage and techniques as well as corrective intervention from nongovernmental organizations.
Optimization of Digital Media Product Interface Design Based on Multidimensional Heterogeneous Emotion Analysis of Users
Authors: Zhu Leiming
Published: May 2022

Due to the characteristics of strong interaction, pertinence, and digital communication of digital media technology, this study combines it with interactive technology. It not only increases customers’ feelings in the process of experience but also promotes the progress of new media technology. However, people’s demand for digital media interface has gradually shifted from functional demand to emotional demand. In order to make a good interaction design, interaction designers must first deeply understand and study users’ cognitive behavior and psychological activities. In this study, through multidimensional heterogeneous emotion analysis of users and optimizing the interface design of digital media products, users can easily and efficiently complete tasks, increase the sense of intimacy, comfort, and success, and improve user satisfaction and brand reputation. Digital media product interface carries the function of visual invisible logic language. As the most common form of visual communication, it affects everyone’s life. Digital media carries all kinds of information. How to get more user experience in the same type of media is a problem to be considered in the design of digital media interface. Applying emotional design to digital media interface design, users can not only meet the needs of actual functions but also get a more emotional experience. Starting with the emotional design theory of digital media product interface, this paper studies the emotional instinct layer, behavior layer, and reflection layer in the creativity of user interface design, analyzes the emotional relationship between users and products with the three layers of emotion of design, and discusses the characteristics of the emotional design of digital media product interface from the perspective of design.
A Rare Case of Pure Primary Large Cell Neuroendocrine Carcinoma of the Gallbladder
Authors: Shackelford Rodney E. , Ozluk Ekin , Abdulsattar Jehan , Lairmore Terry C. , Chu Quyen , Wei Eric X.
Published: May 2022

Primary large cell neuroendocrine carcinoma (LCNEC) of the gallbladder is a rare malignancy which is often associated with non-LCNEC histologic components. Histologically “pure” LCNECs of the gallbladder are exceedingly rare with only 15 cases reported in the medical literature. Clinically, LCNECs present with abdominal pain and jaundice and follow an aggressive course with patients surviving a median of 15 months following initial diagnosis. To our knowledge, we present the 16th case of a histologically pure LCNEC in a 62-year-old African American male who was successfully treated surgically. After discharge, he was subsequently lost to follow-up. Due to the extreme rarity of such disease entity, accurate diagnosis and proper management are essential for the best clinical outcome.
Prognostic Nomograms Based on the Cirrhotic Severity Scoring for Preoperative Prediction of Long-Term Outcomes in Patients with HBV-Related Hepatocellular Carcinoma and Child-Pugh Grade A Liver Function
Authors: Gu Jin , Liang Bin-yong , Zhang Er-lei , Huang Zhi-yong
Published: May 2022

Background. Cirrhotic severity scoring (CSS) is a noninvasive method that can predict histological severity of cirrhosis. This study is aimed at assessing the predictive value of CSS on long-term outcomes after curative hepatectomy for patients with hepatitis B virus- (HBV-) related hepatocellular carcinoma (HCC) and Child-Pugh grade A liver function and further developing novel nomograms to preoperatively predict posthepatectomy recurrence and survival. Methods. Consecutive patients who underwent curative hepatectomy for HCC between 2008 and 2014 were retrospectively studied. According to the CSS, patients were subclassified into 3 groups: no/mild, moderate, and severe cirrhosis. The impact of CSS on recurrence-free survival (RFS) and overall survival (OS) was assessed. Furthermore, RFS and OS nomograms were developed. Results. The 5-year RFS and OS rates were 36.1% and 62.8% in the no/mild cirrhosis group, compared with 28.4% and 56.2% in the moderate cirrhosis group, and 16.2% and 33.0% in the severe cirrhosis group. Long-term survival outcomes were significantly worse with the increment of cirrhotic severity. CSS, alpha-fetoprotein level, tumor size, tumor number, and macrovascular invasion were identified as independent predictors of both RFS and OS. Besides, albumin-bilirubin grade was an independent risk factor of OS not RFS. RFS- and OS-predictive nomograms based on these preoperative variables were built. For these 2 nomograms, the C-indexes were 0.696 and 0.732, respectively. Calibration curves exhibited good agreement between actual observation and nomogram prediction. Conclusions. CSS was a predictor for long-term outcomes in HCC patients after curative hepatectomy. The novel nomograms exhibited accurate preoperative prediction of posthepatectomy recurrence and OS.
Application of Pelvic Magnetic Resonance Imaging Scan Combined with Serum Pyruvate Kinase Isozyme M2, Neutrophil Gelatinase‐Associated Lipocalin, and Soluble Leptin Receptor Detection in Diagnosing Endometrial Carcinoma
Authors: Su Shizhong , Yin Liping
Published: May 2022

Objective. To explore the application value of pelvic magnetic resonance imaging (MRI) scan combined with serum pyruvate kinase isozyme M2 (PKM2), neutrophil gelatinase‐associated lipocalin (NGAL), and soluble leptin receptor (sOB‐R) detection in diagnosing endometrial carcinoma (EC). Methods. The clinical data of 45 patients with pathologically confirmed EC treated in our hospital from May 2019 to May 2020 were retrospectively analyzed. All patients received pelvic MRI scan, serum PKM2, NGAL and sOB‐R detection was performed, and the combination of the two was performed so as to analyze the diagnostic application value of the three modalities. Results. Compared with the joint detection, the number of true positive cases, sensitivity, specificity, and accuracy rate obtained by a single application of pelvic MRI or serum PKM2, NGAL, and sOB‐R detection were obviously lower; the area under the ROC curve of the joint detection was obviously larger than that of single detection; the results of the joint detection were better than those of single detection (P < 0.05); the combined diagnosis obtained the highest sensitivity. Conclusion. Combining pelvic MRI with serum PKM2, NGAL, and sOB‐4 detection can effectively promote the diagnostic accuracy for EC, presenting significant clinical diagnostic value.