bluuebunny/crossref_metadata_2025 huggingface dataset:
An Informational Theory of the Dynamic Value of the Firm
Authors: Yeung David , Wong Wing-Keung
Published: May 2022

This paper formulates an informational theory of the evolving value of the firm under uncertainties and unknowns in the future payoff structures. In general, the horizon of business firms would last for an indefinitely long period of time, and events in the considerably far future are intrinsically unknown. The existing study of indefinite horizon firms often relies on the assumption of time-invariant structures for the derivation of an optimal solution. In this paper, information about the firm’s future payoffs will be revealed as time goes by. The firm will revise its strategies accordingly, and the process will continue indefinitely. This new approach for the analysis of infinite horizon firms via information updating provides a more realistic and practical alternative to the study of the dynamic value of the firm. Finally, information-based option pricing formulae and non-random walks and cycles in asset price can also be generated with this theory.
Vibrotactile Threshold Measurements at the Wrist Using Parallel Vibration Actuators
Authors: Ævarsson Elvar Atli , Ásgeirsdóttir Thórhildur , Pind Finnur , Kristjánsson Árni , Unnthorsson Runar
Published: May 2022

This article presents an investigation into the perceptual vibrotactile thresholds for a range of frequencies on both the inside and outside areas of the wrist when exciting the skin with parallel vibrations, realized using the L5 actuator made by Lofelt GmbH. The vibrotactile threshold of 30 participants was measured using a modified audiometry test for the frequency range of 25–1,000 Hz. The average threshold across the respective frequencies was then ultimately determined from acceleration minima. The results show that maximum sensitivity lies in the range of 100–275 Hz (peaking at 200 Hz) for the inside and 75–250 Hz (peaking at 125 Hz) for the outside of the wrist and that thresholds are overall higher for the hairy skin on the outside of the wrist than for the glabrous skin on the inside. The results also show that the vibrotactile thresholds varied highly between individuals. Hence, personalized threshold measurements at the actuator locations will be required to fine-tune a device for the user. This study is a part of an ongoing research and development project where the aim is to develop a tactile display device and a music encoding scheme with the purpose of augmenting the musical enjoyment of cochlear implant recipients. These results, along with results from planned follow-up experiments, will be used to determine the appropriate frequency range and to cast light on the dynamic range on offer for the tactile device.
Strain Tunable Electronic Band Structure and Magnetic Anisotropy of CrI3 Bilayer
Authors: Safi Abdul Lahil , Chakraborty Sayantani , Ahmed Md. Azaharuddin , Chattopadhyay Bidisa
Published: May 2022

Bilayer (BL) CrI3 attracts major attention among two dimensional (2D) materials due to the exhibition of unique interlayer antiferromagnetic ordering in contrast to other atomically thin films exhibiting long-range ferromagnetic ordering. It is believed that the high temperature monoclinic AB′ stacking plays the key role to induce unusual antiferromagnetic interlayer coupling in BL CrI3. The magnetic states of this system can be effectively controlled by external perturbations like magnetic field, electric field, carrier doping, strain etc. So, it is expected that strain effects can show a distinct behavior in the magnetic transition in BL CrI3. Here, we have studied the electronic and magnetic properties of BL CrI3 under in-plane biaxial and out-of-plane vertical strain from compression to stretch through density functional theory calculations. A compressive biaxial strain around −2.5

%

can induce a transition from AFM to FM magnetic ground state which continues upto −6

%

strain. Beyond this point, a second transition from FM to AFM1 state occurs. Detailed analysis of electronic structure indicates a strain induced direct to indirect band gap transition. Magnetic anisotropy energy (MAE) calculations show an out-of-plane easy axis for pristine CrI3 BL and this feature remains unchanged in the entire range of applied strain. It is also found that most of the perpendicular magnetic anisotropy contribution comes from the iodine atoms. Large MAE found in BL CrI3 may find useful applications in high density data storage devices.
Taking to “heart” the proposed legislation for permanent daylight saving time
Authors: Carter Jason R. , Knutson Kristen L. , Mokhlesi Babak
Published: May 2022

In March 2022, the US Senate passed the Sunshine Protection Act that would abolish the biannual change in clocks each fall and spring and permanently adopt daylight saving time that aligns with the “spring forward” time change each March. A number of scientific and medical societies have endorsed the abolishment of the biannual clock change, but oppose the permanent adoption of daylight saving time. Instead, leading organizations such as the American Academy of Sleep Medicine (AASM) and the Society for Research on Biological Rhythms (SRBR) position statements highlight peer-reviewed evidence in favor of a permanent shift to standard time. The present perspectives will summarize some of the key AASM and SRBR recommendations, with a particular focus on the potential cardiovascular implications of a legislative change that would result in a permanent switch to either standard time or daylight saving time. Collectively, although there is building scientific consensus that abolishing the biannual time change has several sleep and circadian health benefits, the preponderance of evidence is opposite to the current legislation and instead suggests a permanent switch to standard time may offer the maximum health and safety benefits. This scientific evidence should be considered as the United States House of Representatives considers the Sunshine Protection Act.

Listen to this article's corresponding podcast at https://ajpheart.podbean.com/e/daylight-saving-time-and-cardiovascular-risk/ .
The Public Opinion Evolution under Group Interaction in Different Information Features
Authors: Wei Jing , Jia Yuguang , Zhang Yaozeng , Zhu Hengmin , Huang Weidong
Published: May 2022

Before expressing opinions, most people usually consider the standpoint of their friends nearby to avoid being isolated, which may lead to the herding effect. The words of celebrities in social networks usually attract public attention and affect the opinion evolution in the entire network. This process also causes the similar status quo. In this study, we find that the key figures play the guiding roles in public opinions who undertake the group pressure from information amount. Therefore, we build the cost function on opinion changes to study opinion evolution rules for public persons based on the spreading scope of information and information amount. Simulation analysis reveals that the information amount held by agents will affect the converging speed of public opinions, while enhancing the ability of key nodes may no more effective in guiding public opinion.
Trifarotene: A Novel Therapeutic Option for Acne
Authors: Naik Piyu Parth
Published: May 2022

Acne vulgaris, or acne, is a prevailing cutaneous predicament that customarily crops up on the face, neck, and trunk in the forms of comedones, papules, pustules, and nodules. According to epidemiologic explorations, acne affects 9.4% of the global population, making it the eighth most common disease globally. Acne perturbs up to 85% of adolescents, while it is periodically misconceived as an ailment that affects teenagers only; nonetheless, it also affects myriad adults. Acne has well‐documented psychosocial ramifications, including adverse effects on self‐perception, mental health, and social functioning. Trifarotene is basically a novel fourth‐generation locally applied retinoid approved for the first time in the regimens of both face and truncal acnes. The exclusive topical retinoid that adheres precisely to RAR‐gamma, the epidermis' most frequent isoform, is trifarotene, approved in October 2019. The current review evaluates the role of trifarotene in treating acne.
Nanoconfined Gas Flow Behavior in Organic Shale: Wettability Effect
Authors: Wu Shan , Wang Xiaorui , Yu Ying , Yu Yao , Zhang Liang , Mao Ran
Published: May 2022

A clear understanding of nanoconfined gas flow behavior in shale gas reservoirs is beneficial for its efficient development. Nanopores in the shale gas reservoirs are characterized by complex surface chemistry and composition, as well as affinity, while their impact on methane flow has not been investigated comprehensively before. In light of current research status, this article proposes a simple yet robust theoretical model, incorporating bulk-gas flow flux and surface diffusion of adsorption gas. In particular, wettability effect, indicating the influences of the shifted critical properties and adsorption thickness, is captured as well. In this article, gas physical attributes, such as gas compressibility factor and gas viscosity, are modified under the nanoconfinement effect and wettability effect, and also the variation of effective pore size, induced by surface wettability, is considered. Notably, wettability effect in this article is described by using a macroscopic form, surface contact angle, facilitating the model applicability. In addition, both the bulk-gas flow model and surface-diffusion model, developed in this research, are able to achieve excellent agreements compared with the existed documents, clarifying the reliability of the proposed model. Meanwhile, key role of wettability effect on nanoconfined gas flow behavior, especially for surface diffusion of adsorption gas, is demonstrated. Results show that (a) the gas flux in small nanopores may exceed that in large nanopores, due to the predominant role of surface diffusion, while pore size is less than 10 nm; (b) the absence of real gas effect will lead to inaccurate characterization of nanoconfined gas flow capacity, and the magnitude can reach 7% for pore size of 5 nm and will enlarge with further pore size shrinkage; (c) wettability effect governs the total gas flux when pore size is less than 10 nm, while its impact will be greatly mitigated when pore size is greater than 50 nm. This article provides a comprehensive investigation to shed light on surface wettability on gas flow behavior through nanopores.
The Construction of an Action-Speech Feature-Based School Violence Recognition Algorithm and Occupational Therapy Education Model for Adolescents
Authors: Zhang Shuaiqing , Li Huan
Published: May 2022

This paper constructs an algorithm for youth school violence recognition and an occupational therapy education model for victims through the extraction of action speech features. For the characteristics of violent actions and daily actions, action features in time and frequency domains are extracted and action categories are recognized by BP neural network; for complex actions, it is proposed to decompose complex actions into basic actions to improve the recognition rate; then, LDA dimensionality reduction algorithm is introduced for the problem of the high complexity of algorithm due to high dimensionality of features, and the feature dimensionality is reduced to 8 dimensions by LDA dimensionality reduction algorithm, which reduces the system running time by about 51% and improves the accuracy of violent action recognition by 3.3% while ensuring the overall performance of the system. The LDA dimensionality reduction algorithm reduces the number of features to 8 dimensions, which reduces the running time of the system by 51%, increases the accuracy rate of violent action recognition by 3.3%, and increases the recall rate of violent action recognition by 8.86% while ensuring the overall performance of the system. Based on the classical D-S theory, we proposed an improved D-S evidence fusion algorithm by modifying the original evidence model with a new probability distribution function and constructing new fusion rules, which can solve the fusion conflict problem well. The recall rate for violent actions is increased to 90.0%, thus reducing the missed alarm rate of the system.
Improvement of Growth Performance, Hepatic and Erythrocyte Antioxidant Capacity, Innate Immunity, and Biochemical Parameters of Persian Sturgeon, Acipenser persicus, by Sulfur Amino Acids’ Supplementation
Authors: Hoseini Seyyed Morteza , Yousefi Morteza , Abbasi Marzieh , Kulikov Evgeny Vladimirovich , Drukovsky Stanislav Gennadievich , Petrov Aleksandr Konstantinovich , Krotova Elena Alexandrovna , Hoseinifar Seyed Hossein , Van Doan Hien
Published: May 2022

The present study was aimed at determining the effects of taurine and/or methionine addition to a plant-based diet on growth performance and immunological and antioxidant responses of Persian sturgeon, Acipenser persicus. Four plant-based diets were formulated, including control (C), control+1 g/kg taurine (T), control+2 g/kg methionine (M), and control+1 g/kg taurine and 2 g/kg methionine (T+M). Fish were fed each diet in triplicate for 70 days, and growth performance, hematological, plasma biochemical, and immunological parameters, and hepatic and erythrocyte antioxidant parameters were determined after that. Dietary taurine or methionine supplementation significantly increased growth performance, hematological parameters, antioxidant enzymes’ activities, plasma lysozyme, alternative complement, and total immunoglobulin but decreased plasma alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase activities, and malondialdehyde. Interaction additive effects of dietary taurine and methionine were observed in erythrocyte count, hematocrit, alternative complement, total immunoglobulin, hepatic malondialdehyde, superoxide dismutase, and glutathione peroxidase. In conclusion, dietary taurine (1 g/kg) and methionine (2 g/kg) supplementation is necessary to support higher growth rate, immunological responses, and antioxidant capacity in Persian sturgeon, when fed a plant-based diet. According to the present results, the highest performance is obtained when both amino acids are simultaneously added to the fish diet.
A Dual Level Analysis with Evolutionary Computing and Swarm Models for Classification of Leukemia
Authors: Prabhakar Sunil Kumar , Ryu Semin , Jeong In cheol , Won Dong-Ok
Published: May 2022

One of the major reasons of mortality in human beings is cancer, and there is an absolute necessity for doctors to identify and treat a person suffering from it. Leukemia is a group of blood cancers that usually originates in the bone marrow and results in very high number of abnormal cells. For the diagnosis of cancer, microarray data serves as an important clinical application and serves as a great aid to the entire medical community. The dimensionality of the microarray data is too high, and so selection of suitable genes is quite an important step for the improvement of data classification. Therefore, for the prediction and diagnosis of cancer, there is an utmost necessity to select the most informative genes. In this work, Minimum Redundancy Maximum Relevance (MRMR), Signal to Noise Ratio (SNR), Multivariate Error Weight Uncorrelated Shrunken Centroid (EWUSC), and multivariate correlation‐based feature selection (CFS) are chosen as initial feature selection techniques. Then, to select the most informative genes, five different kinds of evolutionary optimization techniques too are incorporated here such as African Buffalo Optimization (ABO), Artificial Bee Colony Optimization (ABCO), Cockroach Swarm Optimization (CSO), Imperialist Competitive Optimization (ICO), and Social Spider Optimization (SSO). Finally, the optimized values are fed through classification process and the best results are obtained when multivariate CFS with SSO is utilized and classified with Probabilistic Neural Network (PNN), and a high classification accuracy of 95.70% is obtained.
Design and Application of Public Welfare Posters Based on 5G Wireless Network
Authors: Xiao Wei , Li Xingping
Published: May 2022

As a traditional communication medium, public welfare posters take the public welfare issues of social concern as the theme, through visual images and creative connotation to dialogue with the audience, advocate social values, and convey positive energy. Nowadays, the audience’s aesthetic requirements and level of design awareness are gradually increasing; whether emerging public welfare posters can be truly accepted and achieve good communication effect depends not only on the excavation of new thematic content but also on designers’ willingness to try new things in the communication environment. As the medium of public service information dissemination, public service posters also reflect the characteristics of the communication tools used in the era and have a profound impact on human production, life, cognition, and communication. In the 5G era, the rapid development of mobile communication and digital technology has injected fresh power into the change and innovation of public service posters, and the evolution of public service poster media technology has changed the communication relationship between public service information and audiences.
Comparative Chemical Profiling and Biological Potential of Essential Oils of Petal, Choke, and Heart Parts of Cynara scolymus L. Head
Authors: Alsubaiei Sana Razhan M. , Alfawaz Hanan A. , Amina Musarat , Al Musayeib Nawal M. , El-Ansary Afaf , Ahamad Syed Rizwan , Noman Omar M. , Maini Jaber A.
Published: May 2022

The essential oil and macroelemental composition of different parts of flower bud (petal, choke, and heart) of Cynara scolymus L. were explored and compared using gas chromatography mass spectrometry (GC-MS) and inductively coupled plasma mass spectrometry (ICP-MS). Overall, 62 organic components were detected in the flower bud based on mass spectra characteristics and retention indices. The essential oil extracted from the petals, choke, and bud showed the presence of thirty-one, twenty-one, and twenty-one compounds, respectively, with linoleic acid and palmitic acid as the major components. 21 components were identified in the oil of the petals, comprising 94.45% of the total oil, in which linoleic acid methyl ester, palmitic acid methyl ester, octadecanoic acid methyl ester, O-α-d-glucopyranoside, and heptyl oct-3-yl ester were the major constituents. Twenty-one compounds, representing 89.13% of the total oil, were detected in the choke oil. Linoleic acid methyl ester, palmitic acid methyl ester, and 2-methyl-1-hexadecanol were the main components. However, the edible heart oil contains twenty compounds, comprising 86.84% of the total oil. Cyclopropane butanoic acid, linoleic acid, methyl ester, and palmitic acid were the major constituents. The analysis executed by ICP-MS revealed the presence of significant amounts of various inorganic elements in all the three samples. The extracted essential oils were tested for antibacterial, antioxidant, and anticancer activities. The results showed that the oil extracted from the petals of C. scolymus flower bud displayed the highest antibacterial, antioxidant, anti-inflammatory, and anticancer effects, as compared to choke and heart oils.
Combined Trojan Y Chromosome Strategy and Sterile Insect Technique to Eliminate Mosquitoes: Modelling and Analysis
Authors: Lyu Jingjing , Gu Musong , Wang Sheng , Cheng Kun
Published: May 2022

Sterile insect technique has been successfully applied in the control of agricultural pests; however, it has a limited ability to control mosquitoes. A promising alternative approach is the Trojan Y Chromosome strategy, which works by manipulating the sex ratio of a population through the introduction of YY supermales that guarantee male offspring. To take the advantages of both approaches, a combined Trojan Y chromosome strategy and sterile insect technique (TYC-SIT) strategy considering intraspecies competition is modeled. The pure TYC method is compared with the pure SIT method by cancelling one-state variable. The dynamical analysis leads to results on both local and global stabilities of this combined TYC-SIT model. Optimal control analysis is also implemented to investigate the optimal mechanisms for extinction of mosquitoes. In particular, the numerical results affirm that the combined TYC-SIT enables near elimination of mosquitoes and works better than the pure TYC or pure SIT method. These conclusions have great significance for species controls with an XX-XY sex determinism system or ZZ-ZW system.
The Teaching Effect Evaluation Model of University Ideological and Political Theory under the Background of New Media and Big Data
Authors: Liu Jiacheng , Madina Zamira
Published: May 2022

This study uses new media technology and big data technology to build a teaching impact assessment model of university ideological and political theory based on new media and big data in order to enhance the effect of ideological and political teaching in colleges and universities. Furthermore, by specifying the instance distribution interval, this work explains the probable probability distribution of all instances of the tuple, ensuring the integrity of the data information of the clustering object and therefore boosting the algorithm’s clustering accuracy. Furthermore, this research constructs an intelligent system frame structure by combining the real teaching requirements of ideology and politics. Finally, from the viewpoints of new media teaching efficiency and teaching impact assessment, this research develops experiments to validate system functionalities. The experimental research results show that the teaching effect evaluation model of university ideological and political theory constructed in this study based on new media and big data has a good teaching effect, and the effect of ideological and political teaching evaluation also meets the actual teaching needs.
Operational Efficiency Comparison and Transportation Resilience: Case Study of Nanjing, China
Authors: Chen Yangjin , Qin Yifan
Published: May 2022

With the changes in global climate, adverse weather events appear to be more frequent. The efficiency, reliability, and safety of transportation operations can be compromised by extreme weather conditions. It is critical to analyse the spatiotemporal effects of extreme weather on the operational efficiency of transportation operational efficiency for meeting people’s travel and transport needs and formulating emergency management operation to prevent road congestion. It is also important to improve the resilience of transportation system. We compared the changes in transportation operational efficiency in Nanjing during normal weather on January 23 and snowstorm on January 25, 2018, using real-time travel data from Gaode Map. The results indicate that there are differences in the distribution of accessibility changes from different residential areas to the main city area in the morning peak. Overall, 90% of the accessibility change values are concentrated in −10 to 10 minutes, while 65% are concentrated in −5 to 5 minutes, and 70% of the rangeability of accessibility is concentrated in −20% to 20%. In a word, the travel in Nanjing in the snowstorm weather is basically normal. This observation is mainly due to the overnight snow removal and the reduction in the number of small car trips. In addition to the Xinjiekou area, the Hexi business district and the exit area of the cross-river tunnel should also be included in the key management areas for taking emergency management operation in the future.
Research on Intelligent Retrieval Method of Teaching Resources on Large-Scale Network Platform
Authors: Su Xiaofeng , Zhang Tianjing
Published: May 2022

With the increase in information on various cloud computing platforms, there are more and more teaching documents and videos, which provide sufficient resources for people to learn. Facing the large-scale digital teaching resources, how to quickly and accurately retrieve the required content has become an important research direction in the information field. Especially in the face of heterogeneous, dynamic, and large-scale teaching resources stored in the cloud computing platform, the traditional cloud computing resource retrieval has poor performance and low work efficiency. To solve this problem, a cloud computing platform retrieval method based on genetic algorithm is proposed, which is suitable for intelligent retrieval of teaching resources. Firstly, the teaching resource storage system based on cloud computing platform is analyzed, and the overall architecture of the system and the network topology of cloud storage data are given. Then, a resource retrieval method suitable for cloud computing platform is designed by genetic algorithm, and the convergence performance of genetic algorithm is improved by ant colony algorithm. Finally, the selection algorithm in genetic algorithm is optimized by using random numbers and increasing the number of cycles. The experimental results show that the proposed intelligent retrieval method has greatly improved the Recall and Precision compared with the traditional retrieval methods.
Support Vector Regression Inverse System Control for Small Wind Turbine MPPT with Parameters’ Robustness Improvement
Authors: Wang Hongru , Zhang Zhigang , Zhang Wenjuan , Li Mengdi , Zhang Yang
Published: May 2022

With the increasing penetration of the permanent-magnet direct-drive wind power system, the maximum wind-energy capture and the generation speed control are more and more important. In the literature, the dynamic performance of the generator speed is well documented by the inverse system method. However, conventional inverse system methods have parameter dependency that is not sufficient to meet the dynamic requirements for permanent magnet synchronous generator (PMSG) speed tracking. Therefore, this paper introduces a support vector regression machine (SVR) method, especially for the inverse system model, which could solve the inaccurate parameters problems. As the SVR has the nonlinear approximation ability to identify and adjust the parameters online, thus, the system robustness could be improved. Finally, the dynamic performance of generator speed is evaluated by using the SVR method. Proposed theoretical developments are verified by the Simulink Test and experimental test.
Analysis of the Effect of Exercise Combined with Diet Intervention on Postoperative Quality of Life of Breast Cancer Patients
Authors: Lu Lihua , Chen Xiaofeng , Lu Ping , Wu Jianli , Chen Yunxia , Ren Tiantian , Li Yiju , Zhong Xiang
Published: May 2022

To analyze the effect of exercise combined with diet intervention on postoperative quality of life of breast cancer patients, a total of 104 breast cancer patients randomly selected from October 2019 to September 2020 who received systemic adjuvant endocrine drug therapy in our hospital for the first time were divided into the observation group and control group as the research subjects. The control group was given exercise and exercise intervention on the basis of routine nursing, and the observation group was given exercise and exercise combined with diet intervention on the basis of basic nursing. Nutritional indexes, anxiety and depression, sleep quality, cancer-induced fatigue, and life quality were observed in both groups. The nutritional indicators of the observation group were slightly different from the control group after exercise and diet intervention, indicating that the observation group’s data was higher than the control group (

P
>
0.05

). The HAMA (human anti-mouse antibody) and HAMD (Hamilton depression scale) ratings of the two groups did not differ significantly (

P
>
0.05

). Both groups’ HAMA and HAMD ratings improved after intervention; although, the control group’s increase was bigger than the observation group (

P
<
0.05

). Both groups’ poor sleep quality assessment (PSQI) scores improved after intervention, with the observation group’s increase rate being lower than the control group (

P
<
0.05

); the control group’s sleep time fell more than the observation group (

P
<
0.05

).
Phytotoxicity of Natural Molecules Derived from Cereal Crops as a Means to Increase Yield Productivity
Authors: Ahmed Hiwa M. , Amiri-Ardekani Ehsan , Ebadi Sayed
Published: May 2022

Phytotoxicity including autotoxicity and allelopathy is the immediate or indirect biochemical impact of one organism on the germination, growth, survival, and reproduction of other organisms or improvement of neighbouring plant species through the arrival of substances into the environment. This biological phenomenon effect might be either growth-enhancing (synergistic) or inhibiting (hostile), contingent upon the chemical substances delivered from donor plants and target species. Allelopathy has been viewed not just as a nature-accommodating way to control unwanted plant spices and biocidal products, but, additionally, a potential explanation for causing autotoxicity in yield. The application of chemical agents to reduce weed infestation may have negative consequences on human health as well as the environment. Plants with allelopathy activities derived from secondary metabolites could be an alternative strategy and have an expected function in sustainable weed biocontrol and boost global agricultural production and food security. Thus, protecting biodiversity, ensuring food safety, improving food, and nutrient quality, as well as crop production, are urgently needed as population and consumption are increasing. So, the objective of this study is to present recent advancements on phytotoxicity and allelopathic effect of plant extracts (sorghum, sunflower, rice, and corn), for sustainable food and crop production in agroecosystems.
Robust H2-Optimal TS Fuzzy Controller Design for a Wind Energy Conversion System
Authors: Kharrat Maher , Abderrahim Sahbi , Allouche Moez
Published: May 2022

In this paper, robust optimal control of an uncertain wind energy conversion system (WECS), described by a Takagi–Sugeno fuzzy model, is proposed to guarantee the maximum power trajectory tracking (MPTT). The design of the fuzzy optimal control is based on a quadratic criterion related to the maximum power tracking error. The proposed fuzzy controller allows to regulate the rectified direct current (DC) voltage of the variable-speed wind turbine by adjusting the duty cycle of a boost converter. Linear matrix inequality (LMI) conditions, ensuring the optimal H2 tracking error, are proposed for the controller gain design. Simulation as well as experimental tests are performed for efficiency evaluation of the established MPPT fuzzy control scheme under variable wind speed conditions.
Evaluation on Performance of Domestic A-Share Listed Cross-Border E-Commerce Export Enterprises Based on Hierarchy Process and Grey Correlation
Authors: Sun Qing , Wu Banglei
Published: May 2022

According to the three principles of cross-border export trade such as the main business, physical transaction, and data availability, eight domestic A-share listed cross-border e-commerce export enterprises are selected to build a performance evaluation index system integrating operation ability, solvency, profitability, and growth ability. Based on the three-year annual public report data from 2018 to 2020, the grey correlation degree and ranking of the performance of eight enterprises are calculated by using the hierarchical method and grey theory. Excluding the factors of COVID-19 outbreak, the two aspects of operation capability and solvency are the key factors that affect the performance of such enterprises at the present stage. It provides reference for the development of cross-border e-commerce enterprises in China and also provides some reference for other types of e-commerce enterprises.
Finite Time Stability of 2D Fractional Hyperbolic System with Time Delay
Authors: Ben Makhlouf Abdellatif , Arfaoui Hassen , Boulaaras Salah , Dhahri Slim
Published: May 2022

In this work, a class of two-dimensional fractional hyperbolic differential linear system (2D-FHDLS) with time delay is investigated. By using generalized Gronwall’s inequality, sufficient conditions for the finite time stability (FTS) of two-dimensional fractional hyperbolic differential system with time delay are given. Numerical examples are also given to illustrate the stability result.
[Retracted] The Application of Natural Camel Milk Products to Treat Autism‐Spectrum Disorders: Risk Assessment and Meta‐Analysis of Randomized Clinical Trials
Authors: Kandeel Mahmoud , El-Deeb Wael
Published: May 2022

Camel milk is better tolerated than the milk of other ruminants, potentially expanding its consumer appeal. It also contains essential vitamins, minerals, and immunoglobulins, providing the milk with antioxidant, antibacterial, and antiviral properties. These properties may reduce oxidative stress in camel milk consumers, ameliorating many conditions, including those of the CNS, such as autism spectrum disorders (ASDs). We performed a meta‐analysis of randomized controlled trials (RCTs) in which camel milk administration (boiled or raw) was examined as an ASD treatment intervention. The primary endpoint was participants’ total autism scores, determined using the Childhood Autistic Responsiveness Scale (CARS). A comparison of the responsiveness in these ASD intervention groups yielded a mean difference (MD) of 1.99 (0.89, 3.08) in those consuming boiled camel milk, MD = 2.77 (1.92, 3.61) in raw camel milk consumers, and MD = −1.02 (−0.10, 2.13) in cow milk consumers. Heterogeneity was notably low among the examined studies. Treatment of ASD with raw and boiled camel milk resulted in significantly lower CARS scores than the placebo. Our findings support the development of larger, more populated RCTs to establish camel milk’s overall potential as a therapeutic intervention for CNS disorders.
Online Engagement during COVID-19: Comparing a Course Previously Delivered Traditionally with Emergency Online Delivery
Authors: McKenna Brigid A. , Horton Ciara , Kopittke Peter M.
Published: May 2022

The COVID-19 pandemic caused major disruptions worldwide to teaching and learning activities across the education sector. We investigated the impact of COVID-19 on student engagement and performance in a third-year undergraduate science course by comparing student activity during emergency online delivery and traditional mode delivery. We found that the rapid transition to fully online teaching without any physical face-to-face teaching caused by COVID-19 resulted in learning resources being accessed at a slower rate throughout the semester. Student engagement decreased as evidenced by lower attendance at tutorials, despite this being the only virtual face-to-face activity available to students in this course. Thus, despite the smooth transition to fully online mode, it was not sufficient to prevent a decrease in student activity and participation in the online environment, and we observed a downward spiral in student engagement and motivation. Results indicate the importance of providing structure and teacher-student-peer interaction in online delivery modes.
Evaluation of the Cause of Dental Treatment in Children under General Anesthesia from the Perspective of Pediatric Dentists and Postgraduate Students and Parents of Children under General Anesthesia at the Dentistry School of Tehran University of Medical Science
Authors: Heidari Alireza , Shahrabi Mehdi , Salehi Zohre , Kalantari Fateme , Salehi Zahra
Published: May 2022

Background. Nowadays, dental treatment under general anesthesia is accepted as a treatment method in children in which other common methods do not allow to achieve acceptable results. The benefits of general anesthesia in pediatric dental treatment are that the treatment is completed in one session, the person is relieved of pain, and most importantly, the child does not need to cooperate. However, it is important to determine the exact dental reasons for children under general anesthesia. Objective. In this study, the cause of dental treatment under general anesthesia in children was examined from the perspective of specialists, assistants, and parents of children under general anesthesia. Methods. In this descriptive-analytical cross-sectional study, participants were selected from among the parents of children under general anesthesia for dental treatment and pediatric dentists and assistants in a purposeful manner. After the items were prepared by the professors, the prepared checklist was read to the people. After completing the checklist, the data were entered into SPSS software version 20 and analyzed using descriptive statistics such as frequency determination, mean, and statistical rests. Results. According to the consensus of parents and experts, the main reasons for general anesthesia for children to perform their dental operations were: young age, lack of cooperation during previous dental treatment, a large number of dental treatments, systemic disease of the child, unwillingness of parents to perform behavioral control procedures, higher quality work under anesthesia, mental and physical behavioral problems, and reduced number of treatment sessions. Conclusion. Therefore, reasons such as young age, lack of cooperation, and a large number of dentist’s work are among the most important factors that lead to the decision to perform general anesthesia in children. In light of this decision, the consequences and disadvantages/advantages of this method are important and therefore more research should be done on this issue.
The Neuroprotective Effect of Shenmai Injection on Oxidative Stress Injury in PC12 Cells Based on Network Pharmacology
Authors: Wu Jing , Wu Jiang , Li Zhonghao , Dong Xiaoke , Yuan Siyuan , Liu Jinmin , Wang Le
Published: May 2022

Background. Shenmai injection (SMI) has been used in the treatment of cerebrovascular diseases and cardiovascular diseases. However, the underlying mechanism of SMI for neuroprotection after acute ischemic stroke (AIS) remains unclear. This study aimed to explore the potential molecular mechanism of SMI in treating reperfusion injury after AIS and its protective effect on PC12 cells against oxidative stress through in vitro experiments based on network pharmacological predictions. Methods. The network pharmacology method was used to collect the compounds in SMI and AIS damage targets, construct the “drug-disease” target interaction network diagram, screen the core targets, and predict the potential mechanism of SMI treatment of AIS. In addition, the oxidative stress model of PC12 cells was induced by H2O2 to evaluate the neuroprotective effect and predictive mechanism of SMI on PC12 cells. Results. A component-targeted disease and functional pathway network showed that 24 components from SMI regulated 77 common targets shared by SMI and AIS. In PC12 cells damaged by H2O2, SMI increased cell survival, alleviated oxidative stress injury, prevented cell apoptosis, and increased the expression of APJ, AMPK, and p-GSK-3β. After Si-APJ silenced APJ expression, the above protective effect of SMI was significantly weakened. Conclusion. SMI is characterized by multiple components, multiple targets, and multiple pathways and inhibits oxidative stress and alleviates nerve injury induced by H2O2 through regulating the APJ/AMPK/GSK-3β pathway.
Identification Method of Citrus Aurantium Diseases and Pests Based on Deep Convolutional Neural Network
Authors: Lin Yuke , Xu Jin , Zhang Ying
Published: May 2022

The traditional identification methods of Citrus aurantium diseases and pests are prone to convergence during the running process, resulting in low accuracy of identification. To this end, this study reviews the newest methods for the identification of Citrus aurantium diseases and pests based on a deep convolutional neural network (DCNN). The initial images of Citrus aurantium leaves are collected by hardware equipment and then preprocessed using the techniques of cropping, enhancement, and morphological transformation. By using the neural network to divide the disease spots of Citrus aurantium images, accurate recognition results are obtained through feature matching. The comparative experimental results show that, compared with the traditional recognition method, the recognition rate of the proposed method has increased by about 11.9%, indicating its better performance. The proposed method can overcome the interference of the external environment to a certain extent and can provide reference data for the prevention and control of Citrus aurantium diseases and pests.
Research on Audio Recognition Based on the Deep Neural Network in Music Teaching
Authors: Cui Yun , Wang Fu
Published: May 2022

Solfeggio is an important basic course for music majors, and audio recognition training is one of the important links. With the improvement of computer performance, audio recognition has been widely used in smart wearable devices. In recent years, the development of deep learning has accelerated the research process of audio recognition. However, there is a lot of sound interference in music teaching environment, which leads to the performance of the audio classifier that cannot meet the actual demand. In order to solve this problem, an improved audio recognition system based on YOLO-v4 is proposed, which mainly improves the network structure. First, Mel frequency cepstrum number is used to process the original audio and extract the corresponding features. Then, try to apply the YOLO-v4 model in the field of deep learning to the field of audio recognition and improve it by combining with the spatial pyramid pool module to strengthen the generalization ability of data in different audio formats. Second, the stacking method in ensemble learning is used to fuse the independent submodels of two different channels. Experimental results show that compared with other deep learning technologies, the improved YOLO-v4 model can improve the performance of audio recognition, and it has better performance in processing data of different audio formats, which shows better generalization ability.
Summary and Analysis of Relevant Evidence for Nondrug Nursing Programs in Neonatal Operational Pain Management
Authors: Yang Zhuo , Fu Yinan , Wang Yueqi
Published: May 2022

Purpose. To summarize the relevant evidence for nondrug nursing programs in neonatal operational pain management. Methods. Computer search for the literature on neonatal procedural pain from 2015 to 2020 in Up To Date, JBI, NICE, SIGN, RNAO, NGC, PubMed, Cochrane Library, CNKI, and Wanfang database was conducted. All literature works that may meet the inclusion criteria were independently evaluated by two researchers to determine the quality grade of the articles. Results. Finally, 9 literature works were extracted, including 4 guidelines, 3 systematic reviews, and 2 evidence summaries. The relevant contents of the literature were extracted and summarized, and 20 pieces of the best evidence were obtained. Conclusion. Breast feeding, sweetener, Kangaroo mother care, sensory stimulation, nonnutritive sucking, and other nondrug nursing programs can reduce the neonatal operational pain, which has guiding significance in neonatal operational pain management.
Research and DSP Implementation of Speech Enhancement Technology Based on Dynamic Mixed Features and Adaptive Mask
Authors: Yang Jie , Tang Yachun
Published: May 2022

A deep learning speech enhancement algorithm based on dynamic hybrid feature and adaptive mask and DSP implementation is proposed in this paper, which solves the problem of feature loss and improves the performance of speech enhancement. The dynamic features incorporate the log Mel power spectrum, Mel cepstral coefficients, and Multiresolution Auditory Cepstral Coefficients (MRACC) and capture the speech transient information by deriving the derivatives to comprehensively represent the nonlinear structure of speech and reduce distortion. To make the system improve the speech quality while reducing the speech distortion as much as possible, a soft mask that can be adaptively adjusted considering the signal-to-noise ratio information is proposed, which can be automatically adjusted according to the different speech signal-to-noise ratio information to obtain the mask value under the corresponding signal-to-noise ratio conditions, and phase difference information that can improve the speech intelligibility is incorporated in it. Then, an improved deep neural network model is designed to effectively improve the speech enhancement performance. Finally, the hardware and algorithm software design of the DSP-based speech enhancement system is given. Experimental simulations are carried out for multiple voices in different noise backgrounds. The experimental results indicate that the performance indexes of the proposed method are significantly improved compared with the existing speech enhancement methods, which verifies the feasibility and superiority of the proposed method.
Analysis of Abnormal Flight and Controllers Data Based on DBSCAN Method
Authors: Zeng Chen , Wang Rundong , Zuo Qinghai
Published: May 2022

In order to quickly and timely analyze the airborne and controllers data of domestic ARJ21 (Advanced Regional Jet for 21st Century) aircraft and find out the existing flight problems and potential safety hazards, this paper proposes a DBSCAN (density-based spatial clustering of applications with noise) clustering analysis method for aircraft airborne and controllers data outlier detection to evaluate and monitor the flight status. The flight QAR (quick access recorder) data stored in the aircraft rapid data recorder are input to the DBSCAN clustering analysis algorithm to detect the flight parameters that are different from the normal range. Compared with the traditional airborne data analysis method, this method can realize the real-time analysis and prediction of data, improve the efficiency of data analysis, and find the potential security risks according to the analysis results and deal with them in time. In this paper, 1,102 ARJ21 aircraft operation data are used to test. The results show that the DBSCAN clustering anomaly data detection method based on density is fast and accurate in detecting the continuous parameters recorded in the flight process, and the display results are easy to analyze, which can predict the potential safety problems in time. The outliers detected by this method can provide support for the controller to detect the outliers and related flight risks in daily flights.
A Scientific Research Information System via Intelligent Blockchain Technology for the Applications in University Management
Authors: Cao Hui , He Hui , Tian Jiahe
Published: May 2022

The scientific research information system plays an essential role in improving management efficiency and promoting technological innovation in universities. With the increasing computational demand for human-centric research management, blockchain technology, with distributed storage, consensus sharing, and security traceability, has efficiently assisted the research information system in dealing with various issues such as big-data scale, information security, interconnection, rapid response, and private security. A novel scientific information system framework based on intelligent blockchain technology is proposed to promote university scientific research’s information level and management efficiency. Moreover, four smart data contracts, including data collection, verification, sharing, and supervision, are custom-designed under an efficient scientific research information system. Those intelligent contracts provide reliable data security and traceability algorithms to guarantee the practical application of the scientific research information system. The results show that the constructed system can relieve the centralized storage pressure of scientific research information and solve the cross-subject sharing obstacle of massive safety data among different systems. Thereby, the system increases the transparency of scientific evaluation and realizes the credible supervision of scientific research information, which provides a way to promote the innovative application of blockchain technology in scientific research management in colleges and universities.