bluuebunny/crossref_metadata_2025 huggingface dataset:
Impacts of COVID-19 on sexual behaviour in Britain: findings from a large, quasi-representative survey (Natsal-COVID)
Authors: Mercer Catherine H , Clifton Soazig , Riddell Julie , Tanton Clare , Freeman Lily , Copas Andrew J , Dema Emily , Bosó Pérez Raquel , Gibbs Jo , Macdowall Wendy , Menezes Dee , Ridge Mary-Clare , Bonell Chris , Sonnenberg Pam , Field Nigel , Mitchell Kirstin R
Published: December 2021

Objectives

Physical restrictions imposed to combat COVID-19 dramatically altered sexual lifestyles but the specific impacts on sexual behaviour are still emerging. We investigated physical and virtual sexual activities, sexual frequency and satisfaction in the 4 months following lockdown in Britain in March 2020 and compared with pre-lockdown.

Methods

Weighted analyses of web panel survey data collected July/August 2020 from a quota-based sample of 6654 people aged 18–59 years in Britain. Multivariable regression took account of participants’ opportunity for partnered sex, gender and age, to examine their independent associations with perceived changes in sexual frequency and satisfaction.

Results

Most participants (86.7%) reported some form of sex following lockdown with physical activities more commonly reported than virtual activities (83.7% vs 52.6%). Altogether, 63.2% reported sex with someone (‘partnered sex’) since lockdown, three-quarters of whom were in steady cohabiting relationships. With decreasing relationship formality, partnered sex was less frequently reported, while masturbation, sex toy use and virtual activities were more frequently reported. Around half of all participants perceived no change in partnered sex frequency compared with the 3 months pre-lockdown, but this was only one-third among those not cohabiting, who were more likely to report increases in non-partnered activities than those cohabiting. Two-thirds of participants perceived no change in sexual satisfaction; declines were more common among those not cohabiting. Relationship informality and younger age were independently associated with perceiving change, often declines, in sexual frequency and satisfaction.

Conclusions

Our quasi-representative study of the British population found a substantial minority reported significant shifts in sexual repertoires, frequency and satisfaction following the introduction of COVID-19 restrictions. However, these negative changes were perceived by some more than others; predominantly those not cohabiting and the young. As these groups are most likely to experience adverse sexual health, it is important to monitor behaviour as restrictions ease to understand the longer term consequences, including for health services.
Classifying the comprehensiveness of flavoured tobacco sales restrictions: development and application of a tool to examine US state and local tobacco policies
Authors: Donovan Emily , Folger Shanell , Akbar Maham , Schillo Barbara
Published: December 2021

Objectives

Comprehensive tobacco control policies with minimal exemptions can reduce tobacco use and sales. Many states and localities have adopted flavoured tobacco product (FTP) sales restrictions. This study describes the development and application of a schema to characterise the comprehensiveness of these FTP sales restrictions.

Design

We coded state and local FTP sales restrictions enacted June 2007–March 2021 for retailer, tobacco product, and flavour inclusions and exemptions. Guided by FTP literature, legal resources and meetings with FTP policy experts, we developed a six-level classification scheme to characterise coded FTP policies from least to most comprehensive. We present descriptive statistics of FTP policy features and comprehensiveness.

Results

As of 31 March 2021, 7 state-level and 327 local-level FTP sales restrictions were enacted in the USA. Most state-level policies (71.4%) were categorised in the second lowest comprehensiveness category; local policies most commonly fell within the lowest (48.9%) or highest (26.0%) comprehensiveness categories. Across jurisdictions, adult-only retailers were most frequently exempted from the FTP sales restrictions (state: n=1, 14.3%; local: n=184, 56.3%); and most jurisdictions included electronic cigarettes (e-cigarettes) as a banned product (state: n=6, 87.5%; local: n=327, 100%). While just over half of state (n=4, 57.1%) and local (n=169, 51.7%) sales restrictions included menthol e-cigarettes, most excluded menthol cigarettes and/or menthol smokeless tobacco.

Conclusions

Comprehensiveness of FTP sales restrictions in the USA varies widely. Current and future FTP policies would be strengthened by including all flavours and all tobacco products—particularly menthol cigarettes—and by avoiding exemptions for certain retailers, particularly adult-only retailers.
Role of f(G) gravity in the study of non-static complex systems
Authors: Yousaf Z. , Bhatti M.Z. , Nasir M.M.M.
Published: December 2021

The concept of complexity for dynamical spherically symmetric dissipative self-gravitating configuration (Herrera et al. Phys. Rev. D, 98, 104059 (2018). doi:10.1103/PhysRevD.98.104059) is generalized in the scenario of modified Gauss–Bonnet gravity. For this purpose, a spherically symmetric fluid with locally anisotropic, dissipative, and non-dissipative configurations is considered. We choose the same complexity factor for the structure as we did for the static case, while we consider the homologous condition for the simplest pattern of evolution. In this approach, we formulate structure scalars that demonstrate the essential properties of the system. A fluid distribution that fulfills the vanishing complexity constraint and proceeds homologously corresponds to isotropic, geodesic, homogeneous, and shear-free fluid. In the dissipative case, the fluid is still geodesic but it is shearing, and there is a wide range of solutions. In the last, the stability of vanishing complexity is examined.
The new “MUON G-2” result and supersymmetry
Authors: Chakraborti Manimala , Heinemeyer Sven , Saha Ipsita
Published: December 2021

The electroweak (EW) sector of the Minimal Supersymmetric Standard Model (MSSM), with the lightest neutralino as Dark Matter (DM) candidate, can account for a variety of experimental data. This includes the DM content of the universe, DM direct detection limits, EW SUSY searches at the LHC and in particular the so far persistent $$3-4\,\sigma $$

3
-
4

σ

discrepancy between the experimental result for the anomalous magnetic moment of the muon, $$(g-2)_\mu $$

(
g
-
2
)

μ

, and its Standard Model (SM) prediction. The recently published “MUON G-2” result is within $${0.8}\,\sigma $$

0.8

σ

in agreement with the older BNL result on $$(g-2)_\mu $$

(
g
-
2
)

μ

. The combination of the two results was given as $$a_\mu ^{\mathrm{exp}} = (11 659 {206.1}\pm {4.1}) \times 10^{-10}$$

a
μ
exp

=

(
11659

206.1

±

4.1

)

×

10

-
10

, yielding a new deviation from the SM prediction of $$\Delta a_\mu = ({25.1}\pm {5.9}) \times 10^{-10}$$

Δ

a
μ

=

(

25.1

±

5.9

)

×

10

-
10

, corresponding to $${4.2}\,\sigma $$

4.2

σ

. Using this improved bound we update the results presented in Chakraborti et al. (Eur Phys J C 80(10):984, 2020) and set new upper limits on the allowed parameters space of the EW sector of the MSSM. We find that with the new $$(g-2)_\mu $$

(
g
-
2
)

μ

result the upper limits on the (next-to-) lightest SUSY particle are in the same ballpark as previously, yielding updated upper limits on these masses of $$\sim 750 \,\, \mathrm {GeV}$$

∼
750

GeV

. In this way, a clear target is confirmed for future (HL-)LHC EW searches, as well as for future high-energy $$e^+e^-$$

e
+

e
-

colliders, such as the ILC or CLIC.
Shrinking artificial intelligence
Authors: Edwards Chris
Published: December 2021

Energy concerns push AI optimizations to the edge.
Converting laws to programs
Authors: Shein Esther
Published: December 2021

In highly regulated industries, it is critical that laws are translated precisely into code that reflects their intent.
The Effect of Cell Compression and Cathode Pressure on Hydrogen Crossover in PEM Water Electrolysis
Authors: Martin Agate , Trinke Patrick , Stähler Markus , Stähler Andrea , Scheepers Fabian , Bensmann Boris , Carmo Marcelo , Lehnert Werner , Hanke-Rauschenbach Richard
Published: December 2021

Hydrogen crossover poses a crucial issue for polymer electrolyte membrane (PEM) water electrolysers in terms of safe operation and efficiency losses, especially at increased hydrogen pressures. Besides the impact of external operating conditions, the structural properties of the materials also influence the mass transport within the cell. In this study, we provide an analysis of the effect of elevated cathode pressures (up to 15 bar) in addition to increased compression of the membrane electrode assembly on hydrogen crossover and the cell performance, using thin Nafion 212 membranes and current densities up to 3.6 A cm−2. It is shown that a higher compression leads to increased mass transport overpotentials, although the overall cell performance is improved due to the decreased ohmic losses. The mass transport limitations also become visible in enhanced anodic hydrogen contents with increasing compression at high current densities. Moreover, increases in cathode pressure are amplifying the compression effect on hydrogen crossover and mass transport losses. The results indicate that the cell voltage should not be the only criterion for optimizing the system design, but that the material design has to be considered for the reduction of hydrogen crossover in PEM water electrolysis.
Contributions of endothelin-1 and l-arginine to blunted cutaneous microvascular function in young, black women
Authors: Akins John D. , Richey Rauchelle E. , Campbell Jeremiah C. , Martin Zachary T. , Olvera Guillermo , Brothers R. Matthew
Published: December 2021

Cardiovascular disease remains a burden in the United States non-Hispanic black (BL) population, although its manifestation through blunted vasodilation in this population is different between men and women. Accordingly, this study determined that reduced microvascular function in young, BL women may be partially controlled by endothelin-1 (ET-1) type A receptors, although neither type B receptors nor insufficient l-arginine bioavailability seems to contribute to this response. Accordingly, further research is needed to better characterize these ET-1 related mechanisms and illuminate other pathways that may contribute to this disparate vascular function in young, BL women.
Investigation on the Binding and Conformational Change of All-trans-Retinoic Acid with Peptidyl Prolyl cis/trans Isomerase Pin1 Using Spectroscopic and Computational Techniques
Authors: Zhu GuoFei , Lyu ShaoLi , Liu Yang , Ma Chao , Wang Wang
Published: December 2021

Binding and conformational change of all-trans-retinoic acid (ATRA) with peptidyl prolyl cis/trans isomerase Pin1 were investigated systematically by spectroscopic and computational techniques under experimentally optimized physiological conditions. The intrinsic fluorescence of Pin1 was quenched through a static quenching mechanism in the presence of ATRA with binding constants on the order of 105 mol/L. Thermodynamic parameters (ΔH = 15.76 kJ/mol and ΔS = 158.36 J/mol·K at 293 K) and computational results illustrated that the hydrophobic interactions played a significant role in the binding process of ATRA to Pin1, but electrostatic forces, weak van der Waals, and hydrogen bonds cannot be ignored. Circular dichroism, fluorescence spectra, and computational simulations revealed that ATRA interacted with residues Lys63 and Arg69 of Pin1 to affect its conformational changes. Molecular dynamic simulation, principal component analysis, and free energy landscape monitored the dynamical conformational characteristics of ATRA binding to Pin1. All in all, the present research might provide a reference for the development and design of retinoic acid drugs that inhibit the activity of Pin1.
Food Image Recognition and Food Safety Detection Method Based on Deep Learning
Authors: Wang Ying , Wu Jianbo , Deng Hui , Zeng Xianghui
Published: December 2021

With the development of machine learning, as a branch of machine learning, deep learning has been applied in many fields such as image recognition, image segmentation, video segmentation, and so on. In recent years, deep learning has also been gradually applied to food recognition. However, in the field of food recognition, the degree of complexity is high, the situation is complex, and the accuracy and speed of recognition are worrying. This paper tries to solve the above problems and proposes a food image recognition method based on neural network. Combining Tiny‐YOLO and twin network, this method proposes a two‐stage learning mode of YOLO‐SIMM and designs two versions of YOLO‐SiamV1 and YOLO‐SiamV2. Through experiments, this method has a general recognition accuracy. However, there is no need for manual marking, and it has a good development prospect in practical popularization and application. In addition, a method for foreign body detection and recognition in food is proposed. This method can effectively separate foreign body from food by threshold segmentation technology. Experimental results show that this method can effectively distinguish desiccant from foreign matter and achieve the desired effect.
A Review of EEG and fMRI Measuring Aesthetic Processing in Visual User Experience Research
Authors: Rui Zhepeng , Gu Zhenyu
Published: December 2021

In human‐computer interaction, the visual interaction of user experience (UX) and user interface (UI) plays an important role in enriching the quality of daily life. The purpose of our study analyzes the use of brain‐computer interface (BCI), wearable technology, and functional magnetic resonance imaging (fMRI) to explore the aesthetic processing of visual neural response to UI and UX designs. Specifically, this review aims to understand neuroaesthetic processing knowledge, aesthetic appreciation models, and the ways in which visual brain studies can improve the quality of current and future UI and UX designs. Recent research has found that subjective evaluations of aesthetic appreciation produce different results for objective evaluations of brain research analysis. We applied SWOT analysis and examined the advantages and disadvantages of both evaluation methods. Furthermore, we conducted a traditional literature review on topics pertaining to the use of aesthetic processing knowledge in the visual interaction field in terms of art therapy, information visualization, website or mobile applications, and other interactive platforms. Our main research findings from current studies have helped and motivated researchers and designers to use convincing scientific knowledge of brain event‐related potential, electroencephalography, and fMRI to understand aesthetic judgment. The key trend finds that many designers, artists, and engineers use artistic BCI technology in the visual interaction experience. Herein, the scientific methods applied in the aesthetic appreciation to human‐computer interface are summarized, and the influence of the latest wearable brain technology on visual interaction design is discussed. Furthermore, current possible research entry points for aesthetics, usability, and creativity in UI and UX designs are explicated. The study results have implications for the visual user experience research domain as well as for interaction industries, which produce interactive projects to improve people’s daily lives.
Efficient Sample Location Selection for Query Zone in Geo‐Social Networks
Authors: Tang Kejian , Zhan Shaohui , Zhan Tao , Zhu Hui , Zeng Qian , Zhong Ming , Zhu Xiaoyu , Zhu Yuanyuan , Li Jianxin , Qian Tieyun
Published: December 2021

While promoting a business or activity in geo‐social networks, the geographical distance between its location and users is critical. Therefore, the problem of Distance‐Aware Influence Maximization (DAIM) has been investigated recently. The efficiency of DAIM heavily relies on the sample location selection. Specifically, the online seeding performance is sensitive to the distance between the promoted location and its nearest sample location, and the offline precomputation performance is sensitive to the number of sample locations. However, there is no work to fully study the problem of sample location selection for DAIM in geo‐social networks. To do this, we first formalize the problem under a reasonable assumption that a promoted location always adheres to the distribution of users (query zone). Then, we propose two efficient location sampling approaches based on facility location analysis, which is one of the most well‐studied areas of operations research, and these two approaches are denoted by Facility Location based Sampling (FLS) and Conditional Facility Location Based Sampling (CFLS), respectively. FLS conducts one‐time sample location selection, and CFLS extends the one‐time sample location selection to a continuous process, so that an online advertising service can be started immediately without sampling a lot of locations. Our experimental results on two real datasets demonstrate the effectiveness and efficiency of the proposed methods. Specifically, both FLS and CFLS can achieve better performance than the existing sampling methods for the DAIM problem, and CFLS can initialize the online advertising service in a matter of seconds and achieve better objective distance than FLS after sampling a large number of sample locations.
Strain‐Softening Characteristics of Hydrate‐Bearing Sediments and Modified Duncan–Chang Model
Authors: Yan Mengqiu , Yan Rongtao , Yu Haihao
Published: December 2021

Marine hydrate exploitation may trigger the seabed geological disaster, such as seafloor collapse and landslide. It is critically important to understand the mechanical properties of hydrate‐bearing sediment. Strain‐softening observation is a typical behavior of hydrate‐bearing sediment (HBS) and exhibits more significant at higher hydrate saturation. This paper performed a series of triaxial compression tests on methane hydrate‐bearing sand to analyze the influence rule and mechanism of hydrate saturation on the strain‐softening characteristic, stiffness, and strength and introduced the strain‐softening index to quantificationally characterize the strain‐softening behaviors of HBS with different hydrate saturations. Based on the analyses on the mechanical behavior of HBS, the Duncan–Chang model is extended to address the stress‐strain curves of HBS. Two empirical formulas with hydrate saturation embedded are used to characterize the enhanced initial modulus and strength for HBS, respectively. To address the strain‐softening behavior of HBS, the modified Duncan–Chang model introduced a damage factor into the strength of HBS. To validate the modified Duncan–Chang model, four different triaxial compression tests are simulated. The good consistence between simulated result and experimental data demonstrates that the modified Duncan–Chang model is capable of reflecting the influence of hydrate saturation not only on the stiffness and strength but also on the strain‐softening characteristics of HBS.
Optimization of Management Mode of Small- and Medium-Sized Enterprises Based on Decision Tree Model
Authors: Diao Yuzhu , Zhang Qing
Published: December 2021

Decision tree algorithm is a common classification algorithm in data mining technology, and its results are usually expressed in the form of if-then rules. The C4.5 algorithm is one of the decision tree algorithms, which has the advantages of easy to understand and high accuracy, and the concept of information gain rate is added compared with its predecessor ID3 algorithm. After theoretical analysis, C4.5 algorithm is chosen to analyze the performance appraisal results, and the decision tree for performance appraisal is generated by collecting data, data preprocessing, calculating information gain rate, determining splitting attributes, and postpruning. The system is developed in B/S architecture, and an R&D project management system and platform that can realize performance assessment analysis are built by means of visualization tools, decision tree algorithm, and dynamic web pages. The system includes information storage, task management, report generation, role authority control, information visualization, and other management information system functional modules. They can realize the project management functions such as project establishment and management, task flow, employee information filling and management, performance assessment system establishment, report generation of various dimensions, management cockpit construction. With decision tree algorithm as the core technology, the system obtains scientific and reliable project management information with high accuracy and realizes data visualization, which can assist enterprises to establish a good management system in the era of big data.
Analysis and Study on the Quality of Life of Patients Undergoing Transcatheter Aortic Valve Replacement
Authors: Wu Guoliang , Zhu Jiajun , Hu Kaixuan , Cai Huan , Li Xiaomei , Yang Yining
Published: December 2021

Objective. Explore the factors affecting the QO of life after transcatheter aortic valve replacement (TAVR) and analyze and evaluate their surgical efficacy and postoperative survival status. Methods. Through correlation analysis and multiple regression analysis, we predict various clinical characteristics and postoperative quality and predict clinical changes in L postoperative quality. Results. The quality of life of patients with the disease has gradually improved and improved from 6 months after surgery. The differences in the three aspects of its physiological mechanism function, physiological function function, overall health, and vitality are statistically significant (

p
<
0.05

). Conclusion. Compared with traditional open-thoracic aortic valve (AV) surgery, TAVR has the significant advantages of smaller surgical incision and less trauma to the patient, which has become one of the reasons why patients are willing to accept it.
Development of Refractive Parameters in 3- to 6-Year-Old Children and Its Application in Myopia Prediction and Intervention Guidance
Authors: Zhang Ya , Su Ming , Liu Hua , Song Yanxia , Liu Jing , Sun Huihui , Wu Xueya , Yang Xiaoge , Qi Liqin , Du Feifan , Liu Lili , Chen Lu , Huang Jing , Guo Xiting , Yang Zhongnan , Yang Xueping
Published: December 2021

Objective. To investigate refractive development and prevalence of myopia in children aged 3-6 years in Hebei Province, China, and to explore the developmental law of refraction, so as to clinically guide the prediction and intervention of myopia. Methods. In May 2019, a total of 6120 people were inspected in 68 kindergartens in 11 cities in Hebei Province. Child refractive refraction was checked under noncycloplegia using a handheld binocular vision screener (SW-800, SUOER, Tianjin, China). Axial length (AL) and corneal radius of curvature (CR) were measured using an ocular biometry (IOLMaster 500, Carl Zeiss, Germany). Myopia was defined as spherical equivalent

SE

≤
−
0.75
 
D

. Results. A total of 5506 children aged 3-6 years met the criteria and were included in the statistical analysis. The prevalence of myopia was 3.49% (1.93% at age 3, 2.90% at age 4, 3.78% at age 5, and 3.88% at age 6). Overall, the mean SE was

+
0.67
±
1.05
 
D

(

+
0.81
±
1.00
 
D

at age 3,

+
0.79
±
1.05
 
D

at age 4,

+
0.67
±
1.08
 
D

at age 5, and

+
0.13
±
1.01
 
D

at age 6); the mean CR was

7.76
±
0.26
 
mm

(

7.78
±
0.26
 
mm

at age3,

7.75
±
0.25
 
mm

at age 4,

7.77
±
0.26
 
mm

at age 5, and

7.76
±
0.25
 
mm

at age 6); the mean AL was

22.31
±
0.73
 
mm

(

21.98
±
0.63
 
mm

at age 3,

22.12
±
0.69
 
mm

at age 4,

22.34
±
0.73
 
mm

at age 5, and

22.49
±
0.73
 
mm

at age 6). Conclusions. Prevalence of myopia increases with age in children aged 3-6 years in Hebei, China. With the increase of age, CR is basically stable, and AL increases gradually. AL/CR, which is closely related to SE, can be used as an indicator to predict myopia and guide clinical work.
Multiple-Sets Split Common Fixed-Point Problems for Demicontractive Mappings
Authors: Cui Huanhuan
Published: December 2021

In this paper, we are concerned with the multiple-sets split common fixed-point problems whenever the involved mappings are demicontractive. We first study several properties of demicontractive mappings and particularly their connection with directed mappings. By making use of these properties, we propose some new iterative methods for solving multiple-sets split common fixed-point problems, as well as multiple-sets spit feasibility problems. Under mild conditions, we establish their weak convergence of the proposed methods.
Early Warning System for Penalty Constrained Financial Risks of Enterprises under Diversified Investment
Authors: Zhu Yongyong
Published: December 2021

Based on the understanding of the main types and purposes of enterprise diversification investment, this paper conducts an in-depth analysis of the environmental, structural, and scale risks of enterprise diversification investment and uses this as the basis for the effective construction of a risk prevention model. It can help enterprises effectively avoid investment risks, avoid bringing huge economic losses to enterprises, and help lay a good foundation for the positive development of enterprises. With the rapid development of social economy, enterprises must realize diversified investment if they want to improve their market economy status. However, due to many factors, they face greater economic risks and even cause serious economic losses to enterprises. Therefore, effective measures must be taken to prevent risks and promote the sustainable development of enterprises so as to obtain more economic benefits.
Intelligent Tourism Personalized Recommendation Based on Multi-Fusion of Clustering Algorithms
Authors: Liang HongYan
Published: December 2021

Actual tourism mining models are often used to discover potential information in documents, but tourism models without human knowledge often produce unexplainable topics. This paper combines big data technology to build a personalized recommendation system for smart tourism, model the contextual information usage ontology under the tourism information system, and give the association between various ontologies. Then, this paper uses a matrix to describe each discrete attribute and interval attribute and uses a vector to model the user’s preferences. In addition, this paper constructs an intelligent recommendation system based on the actual needs of travel recommendation and verifies the system in combination with experimental research. Through experimental analysis, it can be known that the intelligent tourism personalized recommendation system based on big data technology proposed in this paper has a high practical effect.
Whether Digital Financial Inclusion Can Improve Capital Misallocation or Not: A Study Based on the Moderating Effect of Economic Policy Uncertainty
Authors: He Guohua , Shen Lu
Published: December 2021

This paper discusses the impact of digital financial inclusion on regional capital’s turn from the fictitious to the substantial economy. The continuous decline of the capital efficiency of the real economy is an important reason for the misallocation of financial capital, such as the financialization of real enterprises. Development of the digital financial inclusion helps to relieve small and micro businesses from financing constraints, encourage civilian consumption, and improve services concerning issues of agriculture, rural areas, and farmers. Yet, its financial features also indicate potential systematic risks, manifested as the capital’s departure from its intended purpose of serving the substantial economy, given some beneficiaries’ investment in the fictitious economy. Based on the provincial panel data between 2011 and 2019, this paper constructs an index describing capital’s diversion from the fictitious to the substantial economy. This paper then analyzes the impact of digital financial inclusion on such a diversion of the regional capital, investigating the regulatory effects caused by the uncertainty in economic policies. Empirical study reveals that digital financial inclusion has an evident positive effect on regional capital’s diversion from the fictitious to the substantial economy but without any spatial spillover effect. Among the three subdimensions of digital financial inclusion-scope of coverage, depth of usage, and level of digitalization, the scope of coverage has the strongest positive effect, and digitization level, the weakest. The positive correlation between digital financial inclusion and capital diversion from the fictitious to the substantial economy is under negative regulation due to economic policy uncertainty. In other words, increasing uncertainty in the economic policy would weaken digital financial inclusion’s support of the substantial economy.
Protumor Effects of Histone H3–H4 Chaperone Antisilencing Feature 1B Gene on Lung Adenocarcinoma: In Silico and In Vitro Analyses
Authors: Wu Liyang , Jie Bing
Published: December 2021

Background. ASF1B is a member of the histone H3–H4 chaperone antisilencing feature 1 (ASF1). ASF1B reportedly acts as an oncogene in several cancers including, breast cancer and cervical cancer. To date, the role of ASF1B in lung adenocarcinoma (LUAD) is not elucidated. Methods. The TCGA database, containing data for 33 cancer types, was used to explore the dysregulation and prognostic value of the ASF1B gene in pan-cancer data. R software packages and public databases/webservers were applied for bioinformatics and statistical analyses. Using in vitro models, immunoprecipitation and immunofluorescence were utilized to investigate if BCAR1 interacted with ASF1B in LUAD. Further, transfection experiments were performed to validate the expression pattern of ASF1B in LUAD and examine its regulating role in tumor-associated processes including tumor cell proliferation and migration. Results. ASF1B was found to be significantly elevated in LUAD and the majority of cancer types, except PCPG (pheochromocytoma and paraganglioma). The overexpression of ASF1B was associated with worse prognostic outcomes in most cancer types including LUAD. ASF1B was associated with lymph node metastasis, and in vitro, it promoted the proliferation and migration of LUAD cells. ASF1B knockdown suppressed LUAD cell proliferation and migration and also diminished the expression of cell cycle, metastasis, and EMT signaling-associated proteins. BCAR1 was found positively correlated and interacting with ASF1B, and BCAR1 overexpression reversed the effects of ASF1B knockdown in LUAD cells. Conclusion. These findings indicated that ASF1B plays a significant role in the tumor progression of LUAD and BCAR1 mediates the tumor-promotive effects of ASF1B, acting as an intermediate protein. Therefore, the ASF1B/BCAR1 axis might be regarded as a putative therapeutic target for LUAD.
A Study of English Informative Teaching Strategies Based on Deep Learning
Authors: Guo Yaojun
Published: December 2021

The rapid development of artificial intelligence brings new development opportunities and challenges to English teaching university. This paper explores the concept of “smart education” and the path of building an ecological information-based teaching model of English college by interpreting the concepts of artificial intelligence, deep learning, ecological linguistics, and language education. Artificial intelligence, especially deep learning, will be promising in many aspects, such as the analysis of individual differences of language learners, customized learning content, diversified and three-dimensional teaching media, the role of teachers as smart classroom designers, and multidimensional and dynamic formative assessments. By relying on the data mining technology of deep learning to analyze learners’ characteristics, the smart classroom design, the promotion of language learners’ independent learning, and the establishment of dynamic and complete learner profiles, the language learning process is no longer a linear process but an evolving open loop, ultimately forming a harmonious development of various ecological niches in the language learning process. In this paper, we study and design a deep learning-based English informatics teaching system to develop a deep learning-based scoring prediction model. The model incorporates deep learning models based on word embedding and text convolutional networks, which can uncover the hidden interest features of academics for English. The experimental research results prove that the online e-learning service platform cannot only effectively meet the diverse and personalized English learning needs of university students, but also improve the learning efficiency of teachers and students.
Music Composition and Emotion Recognition Using Big Data Technology and Neural Network Algorithm
Authors: Wang Yu
Published: December 2021

To implement a mature music composition model for Chinese users, this paper analyzes the music composition and emotion recognition of composition content through big data technology and Neural Network (NN) algorithm. First, through a brief analysis of the current music composition style, a new Music Composition Neural Network (MCNN) structure is proposed, which adjusts the probability distribution of the Long Short‐Term Memory (LSTM) generation network by constructing a reasonable Reward function. Meanwhile, the rules of music theory are used to restrict the generation of music style and realize the intelligent generation of specific style music. Afterward, the generated music composition signal is analyzed from the time‐frequency domain, frequency domain, nonlinearity, and time domain. Finally, the emotion feature recognition and extraction of music composition content are realized. Experiments show that: when the iteration times of the function increase, the number of weight parameter adjustments and learning ability will increase, and thus the accuracy of the model for music composition can be greatly improved. Meanwhile, when the iteration times increases, the loss function will decrease slowly. Moreover, the music composition generated through the proposed model includes the following four aspects: sadness, joy, loneliness, and relaxation. The research results can promote music composition intellectualization and impacts traditional music composition mode.
Comparative Study of Mechanical Properties and Thermal Stability on Banyan/Ramie Fiber‐Reinforced Hybrid Polymer Composite
Authors: Raja T. , Ravi S. , Karthick Alagar , Afzal Asif , Saleh B. , Arunkumar M. , Subbiah Ram , Ganeshan P. , Prasath S.
Published: December 2021

The usage of natural fibers has increased recently. They are used to replace synthetic fiber products in aircraft and automobile industries. In this study, natural fibers of bidirectional banyan mat and ramie fabrics are used for reinforcement, and the matrix is an epoxy resin to fabricate composite laminates by traditional hand layup technique at atmospheric temperature mode. Five different sequences of reinforcements are as follows to quantify the effect of thermal stability and mechanical behavior of silane‐treated and untreated hybrid composites. The results revealed that silane‐treated fabric composite laminates were given enhanced mechanical properties of 7% tensile, 11% flexural, and 9% impact strength compared with untreated fabric composite, and at the same time when the increasing of ramie fabric was given the positive influence of 41% improved tensile strength of 40.7 MPa, 49% improved in flexural strength of 38.9 MPa and negative influence in 57% lower impact strength in sample E and positive value in sample A 21.12 J impact energy absorbed in the hybrid composite. Thermogravimetric analysis (TGA) revealed the thermal stability of the hybrid composite. In sample A, the thermal stability is more than in other samples, and 410°C is required to reduce the mass loss of 25%. The working mass condition of the hybrid composite is up to 3.25 g after it moves to degrade.
Intraperitoneal Lavage with Crocus sativus Prevents Postoperative‐Induced Peritoneal Adhesion in a Rat Model: Evidence from Animal and Cellular Studies
Authors: Rahmanian-Devin Pouria , Rakhshandeh Hassan , Baradaran Rahimi Vafa , Sanei-Far Zahra , Hasanpour Maede , Memarzia Arghavan , Iranshahi Mehrdad , Askari Vahid Reza
Published: December 2021

Postoperative peritoneal adhesions are considered the major complication following abdominal surgeries. The primary clinical complications of peritoneal adhesion are intestinal obstruction, infertility, pelvic pain, and postoperative mortality. In this study, regarding the anti‐inflammatory and antioxidant activities of Crocus sativus, we aimed to evaluate the effects of Crocus sativus on the prevention of postsurgical‐induced peritoneal adhesion. Male Wistar‐Albino rats were used to investigate the preventive effects of C. sativus extract (0.5%, 0.25% and 0.125% w/v) against postsurgical‐induced peritoneal adhesion compared to pirfenidone (PFD, 7.5% w/v). We also investigated the protective effects of PFD (100 μg/ml) and C. sativus extract (100, 200, and 400 μg/ml) in TGF‐β1‐induced fibrotic macrophage polarization. The levels of cell proliferation and oxidative, antioxidative, inflammatory and anti‐inflammatory, fibrosis, and angiogenesis biomarkers were evaluated both in vivo and in vitro models. C. sativus extract ameliorates postoperational‐induced peritoneal adhesion development by attenuating oxidative stress [malondialdehyde (MDA)]; inflammatory mediators [interleukin‐ (IL‐) 6, tumour necrosis factor‐ (TNF‐) α, and prostaglandin E2 (PGE2)]; fibrosis [transforming growth factor‐ (TGF‐) β1, IL‐4, and plasminogen activator inhibitor (PAI)]; and angiogenesis [vascular endothelial growth factor (VEGF)] markers, while propagating antioxidant [glutathione (GSH)], anti‐inflammatory (IL‐10), and fibrinolytic [tissue plasminogen activator (tPA)] markers and tPA/PAI ratio. In a cellular model, we revealed that the extract, without any toxicity, regulated the levels of cell proliferation and inflammatory (TNF‐α), angiogenesis (VEGF), anti‐inflammatory (IL‐10), M1 [inducible nitric oxide synthase (iNOS)] and M2 [arginase‐1 (Arg 1)] biomarkers, and iNOS/Arg‐1 ratio towards antifibrotic M1 phenotype of macrophage, in a concentration‐dependent manner. Taken together, the current study indicated that C. sativus reduces peritoneal adhesion formation by modulating the macrophage polarization from M2 towards M1 cells.
[Retracted] Mining and Evaluation of Teaching Civics Courses Based on Apriori‐TIDS Algorithm
Authors: Yang Haiying
Published: December 2021

The thinking course is an innovative move to implement the fundamental task of moral education and realize the whole process of education and all‐round education in universities. The Apriori‐TIDS algorithm proposed in this paper adopts the TID list of transaction identifiers to calculate the support count and generate the frequent item set of the Hou option set, and the whole frequency set generation process only needs to scan the transaction database once, which greatly improves the operation efficiency of the mining algorithm. The course is based on the three focus points of ideological and political education, such as “matters, times, and situations”, to explore the elements of ideological and political education hidden in the course, and to give the principles and criteria for evaluating the effectiveness of ideological and political teaching in the course, in order to make the professional degree course become the main channel to lead the ideological and political education of postgraduate courses and improve the effectiveness of the course in educating people.
Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm
Authors: Wang Fang
Published: December 2021

This paper uses an improved multiorganizational particle population optimization algorithm to conduct an in‐depth analysis and study of an online English teaching model and uses the altered model for practical applications. The model building elements are extracted from it for the initial construction of a blended learning model of English‐speaking teaching in junior high school. The main purpose of the first round of action research is to test the rationality of each element of the model, the main purpose of the second round of action research is to refine the model links and improve the operability of the model, and the main purpose in the third round of action research is to test the perfected model and explore the model. The main purpose of the third round of action research is to test the refined model and explore the application suggestions of the model. After the three rounds of action research, we finally obtained a more mature blended learning model for teaching English as a foreign language in junior high school. Mainly through the comparison of the pre‐ and posttest scores of English speaking of the experimental subjects and the comparison of the pre‐ and posttest data of the relevant questionnaires, the following experimental conclusions were drawn: adopting the blended learning‐based speaking teaching model can effectively improve students’ interest in learning English, their attitudes and their English speaking skills including pronunciation, phonetic intonation, conversational communication, and oral expression and can enhance students’ group cooperation and communication ability, independent learning ability, evaluation awareness, and ability. This single‐guided learning mechanism can effectively avoid the shocks that are easily caused by the dual‐guided role of traditional PSO. The dimensional learning strategy constructs a learning paradigm for each particle by learning from each dimension of the individual optimal position of the particle to the corresponding dimension of the group optimal position, respectively. Dimensional learning is formally integrated into the learning paradigm only if it can improve the fitness of the paradigm so that the dimensional learning strategy can avoid the phenomenon of degradation of the learning paradigm and the phenomenon of “two steps forward, one step back.” In the dimensional learning strategy, since each particle learns from best, although it has a strong exploitation capability, it may cause all particles to converge to best quickly, making the algorithm converge prematurely.
The Clinical Efficacy and Risk Factors after Revision and Reconstruction of Anterior Cruciate Ligament
Authors: Miao Shuai , Li Shuoda , Wu Zhonggao , Wang Hui , Li Ming
Published: December 2021

The aim of this study was to study the clinical efficacy and prognostic factors after revision and reconstruction of anterior cruciate ligament. All the patients who underwent the first revision of anterior cruciate ligament (ACL) reconstruction in the department of sports medicine from January 2001 to December 2015 were collected. The demographic information, the first revision and reconstruction information of ACL, and the information during the first ACL reconstruction were collected. A total of 335 cases were included. Lysholm score, Tegner activity score, and IKDC subjective score at the last follow-up were significantly higher than those before operation. Compared with graft failure caused by sports injury, the postoperative scores of patients with revision due to life accidents or initial reconstruction techniques were significantly lower (

P
<
0.05

). The postoperative Lysholm score of patients with femoral canal drilling through the tibial canal was lower than that of patients with anterior internal approach. The postoperative IKDC score of patients who underwent medial meniscus suture at the same time was higher than that of patients without meniscus combined injury. ACL revision can improve the stability and function of knee joint. Compared with the revision caused by life accident or technical reasons of primary reconstruction surgery, the patients with graft failure caused by sports injury have better postoperative recovery. Medial meniscus suture and anterior internal approach drilling of the femoral bone canal have a statistically protective effect on the clinical function after ACL revision.
Optimized Design of 3D Spatial Images Based on Kalman Filter Equation
Authors: Shan Wei
Published: December 2021

This paper takes the advantageous ability of Kalman filter equation as a means to jointly realize the accurate and reliable extraction of 3D spatial information and carries out the research work from the extraction of 3D spatial position information from multisource remote sensing optical stereo image pairs, recovery of 3D spatial structure information, and joint extraction of 3D spatial information with optimal topological structure constraints, respectively. Taking advantage of the stronger effect capability of Wiener recovery and shorter computation time of Kalman filter recovery, Wiener recovery is combined with Kalman filter recovery (referred to as Wiener-Kalman filter recovery method), and the mean square error and peak signal-to-noise ratio of the recovered image of this method are comparable to those of Wiener recovery, but the subjective evaluation concludes that the recovered image obtained by the Wiener-Kalman filter recovery method is clearer. To address the problem that the Kalman filter recovery method has the advantage of short computation time but the recovery effect is not as good as the Wiener recovery method, an improved Kalman filter recovery algorithm is proposed, which overcomes the fact that the Kalman filter recovery only targets the rows and columns of the image matrix for noise reduction and cannot utilize the pixel point information among the neighboring rows and columns. The algorithm takes the first row of the matrix image as the initial parameter of the Kalman filter prediction equation and then takes the first row of the recovered image as the initial parameter of the second Kalman filter prediction equation. The algorithm does not need to estimate the degradation function of the degradation system based on the degraded image, and the recovered image presents the image edge detail information more clearly, while the recovery effect is comparable to that of the Wiener recovery and Wiener-Kalman filter recovery method, and the improved Kalman filter recovery method has stronger noise reduction ability compared with the Kalman filter recovery method. The problem that the remote sensing optical images are seriously affected by shadows and complex environment detail information when 3D spatial structure information is extracted and the data extraction feature edge is not precise enough and the structure information extraction is not stable enough is addressed. A global optimal planar segmentation method with graded energy minimization is proposed, which can realize the accurate and stable extraction of the topological structure of the top surface by combining the edge information of remote sensing optical images and ensure the accuracy and stability of the final extracted 3D spatial information.