bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Low-Impact Development in Flood Control: A Case Study of the Febres Cordero Stormwater System of Guayaquil (Ecuador)
Authors: Quichimbo-Miguitama Fabian , Matamoros David , Jiménez Leticia , Quichimbo-Miguitama Pablo
Published: June 2022

Urban flooding is a major problem in many coastal cities. The rapidly shifting patterns of land use and demographic increase are making conventional approaches to stormwater management fail. In developing countries such as Ecuador, a lack of monitoring, financial constraints and absence of proper policies exacerbate flooding problems. This work assesses the implementation of two Low Impact Development strategies (LIDs), namely, green streets and rain barrels, as nature-based solutions to mitigate flooding problems. The use of the “Stormwater Management Model” (SWMM) helped to contrast the new approach with the current state of the drainage system, including normal and extreme scenarios. With an implementation of 1.4% (19.5 ha) of the total area with LIDs, the reduction of runoff for short events (200 min) is around 20%, and for extreme events (within 24 h) is around 19% in comparison to the conventional approach. Flooded nodes were reduced to 27% for short events, and to 4% for extreme events. The peak flooding system had a reduction to 22% for short events and 15% for extreme events. These highlights help to increase city resilience, and authorities and stakeholders should engage in climate actions to reduce flood risks complementing drainage operations with nature-based solutions. Moreover, calibrated results in this article serve to increase awareness among municipal authorities regarding the importance of maintaining flooding records to improve modelling results for decision-makings processes.
Can the Spatial Function Division of Urbanization Promote Regional Coordinated Development? Evidence from the Yangtze River Economic Belt in China
Authors: Guo Siliang , Ma Heng
Published: June 2022

The spatial function division of urbanization (SFDU) based on the value chain has an important impact on optimizing the industrial layouts of these areas and promoting regional coordinated development. Based on urban panel data from the Yangtze River Economic Belt (YREB) from 2007 to 2016, this paper uses the SYS-GMM, fixed-effects, and quantile regression methods to test the impact of the SFDU on regional coordinated development and further reveals its mechanism of impact. The results show the following: (1) the SFDU significantly improves the level of regional coordinated development, and the introduction of the SYS-GMM method enables us to overcome the endogenous problem of regression; (2) the improvement of capital allocation efficiency is an important way for the SFDU to promote regional coordinated development, whereas labor allocation efficiency is related to “process distortion”; (3) the impact of the SFDU on coordinated regional development in the middle and lower reaches of the YREB is stronger than that in the upper reaches; and (4) the promoting effect of the SFDU on coordinated regional development is significantly higher in the “economic coordination dimension” than in the “people’s livelihoods” and “ecological coordination” dimensions. This paper provides a valuable reference for the government to formulate regional coordinated development policies in basin economies around the world from the perspective of sustainable development.
Mediating Effect of Brand Image and Satisfaction on Loyalty through Experiential Marketing: A Case Study of a Sugar Heritage Destination
Authors: Chen Aileen H. , Wu Ryan Y.
Published: June 2022

While the value of industrial heritage tourism has been recognized, less is known about visitors’ experience formation process and its role along with brand image and satisfaction in predicting their loyalty towards industrial heritage destinations. This study adopted the experiential marketing approach to unveil the experience formation process. It also examined the decisive factors of loyalty, by further exploring the mediating effects of brand image and satisfaction on the relationship between experiences and loyalty. A survey questionnaire method was used to collect data from 399 visitors to a sugar heritage destination in Taiwan. The results supported the application of experiential marking in a sugar heritage destination and suggested that visitors’ experiences are most driven by how they feel, think, and act. The findings also confirmed the causal relationship and indicated the importance of brand image on loyalty formation and its mediating role between experience and loyalty.
Promoting Global Citizenship Education (GCED) in the Sultanate of Oman: An Analysis of National Policies
Authors: Al’Abri Khalaf Marhoun , Ambusaidi Abdullah Khamis , Alhadi Badriya Rashid
Published: June 2022

Global citizenship has recently attracted significant attention from nations for its importance in sustainable development. This study explores the extent of the adoption of global citizenship concepts and principles in Omani education by analyzing the reality of including global citizenship concepts in national policies in Oman. Qualitative Document Analysis (QDA) was used in order to establish the support force in achieving the main requirements of GCED in three Omani national policies: Education Philosophy, the Basic Law of the State, and Oman Vision 2040. The results reveal that the Education Philosophy is one of the most comprehensive documents on concepts, principles, and requirements. Additionally, sustainable development issues are among the key principles contained in the analyzed national documents. These are followed by principles of ecological balance, scientific thinking, and technology, with significant interest in other principles as well.
Invasive Species as Rivals: Invasive Potential and Distribution Pattern of Xanthium strumarium L.
Authors: Ullah Rafi , Khan Nasrullah , Hewitt Nina , Ali Kishwar , Jones David Aaron , Khan Muhammad Ezaz Hasan
Published: June 2022

Xanthium strumarium L. is a globally successful invasive herb that has had significant negative ecological, economic and social impacts in many world regions. The present study was therefore conducted to evaluate the invasive potential and spatial distribution patterns of X. strumarium in heavily invaded plant communities of the semiarid regions of northern Pakistan. Investigations were based on data from 20 plants grown in the Herbarium at the University of Malakand, and from observations in 450 plots distributed across 45 stands representing habitats across Northern Province including open fields, hillocks and abandoned areas in both urban and rural areas. Multivariate analysis identified elevation, organic matter and organic carbon as the environmental variables most associated with communities invaded by X. strumarium. Increased soil silt was positively associated and available water was negatively associated with X. strumarium–invaded communities. These key environmental characteristics allowed us to identify four main associations: Group I: X. strumarium-C. sativa, Group II: X. strumarium-P. hysterophorus, Group III: X. strumarium-A. aspera and Group IV: X. strumarium-C. sativa. Other invasive species were observed, either exotic, such as P. hysterophorus, or indigenous, such as C. sativa and D. inoxia, often co-occurring and responding similarly to these factors. The results suggest that high temperature with drought stress could be a determinant of increasing population at lower elevations, whereas colder climates with adequate moisture are related to reduced populations at higher elevations, near the species’ upper range limits. It is recommend that the inclusion of appropriate, additional soil and climatic variables in species distribution models be implemented in order to better explain species’ ecological niches and help guide conservation and protection plans for native plant communities.
Asymmetric Effects of Economic Development, Agroforestry Development, Energy Consumption, and Population Size on CO2 Emissions in China
Authors: Liu Hui , Liu Jiwei , Li Qun
Published: June 2022

The COVID-19 epidemic and the Russian–Ukrainian conflict have led to a global food and energy crisis, making the world aware of the importance of agroforestry development for a country. Modern agriculture mechanization leads to massive energy consumption and increased CO2 emissions. At the same time, China is facing serious demographic problems and a lack of consumption in the domestic market. The Chinese government is faced with the dilemma of balancing environmental protection with economic development in the context of the “double carbon” strategy. This article uses annual World Bank statistics from 1990 to 2020 to study the asymmetric relationships between agroforestry development, energy consumption, population size, and economic development on CO2 emissions in China using the partial least squares path model (PLS-PM), the autoregressive VAR vector time series model, and the Granger causality test. The results are as follows: (1) The relationship between economic development and carbon dioxide emissions, agroforestry development and carbon dioxide emissions, energy consumption and carbon dioxide emissions, and population size and carbon dioxide emissions are both direct and indirect, with an overall significant positive effect. There is a direct negative relationship between population size and carbon dioxide emissions. (2) The results of the Granger causality test show that economic development, energy consumption, and CO2 emissions are the causes of the development of agroforestry; economic development, agroforestry development, population size, and CO2 emissions are the causes of energy consumption; energy consumption is the cause of economic development and CO2 emissions; and agroforestry development is the cause of population size and energy consumption. (3) In the next three years, China’s agroforestry development will be influenced by the impulse response of economic development, energy consumption, and CO2 emission factors, showing a decreasing development trend. China’s energy consumption will be influenced by the impulse response of economic development, agroforestry development, population size, and CO2 emission factors, showing a decreasing development trend, followed by an increasing development trend. China’s CO2 emission will be influenced by the impulse response of energy consumption and agroforestry development. China’s CO2 emissions will be influenced by the impulse response of energy consumption and agroforestry development factors, showing a downward and then an upward development trend.
Multilevel Assessment of Seismic Damage and Vulnerability of Masonry Buildings (MUSE-DV) in Historical Centers: Development of a Mobile Android Application
Authors: Sbrogiò Luca , Saretta Ylenia , Molinari Francesco , Valluzzi Maria Rosa
Published: June 2022

Empirical data on the seismic behavior of masonry buildings are collected by technicians through rapid visual assessment procedures, i.e., by filling in forms that organize information in short answers or ticks. The resulting empirical database serves as a basis for prevention strategies, but the archiving and the post-processing of data are always a potential cause of losses and misinterpretations. New technologies are nowadays entering seismic risk analyses as a support to the usual visual approach. This paper proposes a new application for Android mobile devices that digitalizes an assessment form (MUSE-DV) able to collect damage and vulnerability data of masonry buildings in seismic areas, including information on strengthening interventions applied to buildings in the past. The client–server architecture of the app considers local devices communicating over the web with a central unit; data processing is split between them to reduce network and resource needs. This approach is convenient with thin devices, such as smartphones, and in post-disaster situations, when the mobile network may not be available. Data collected onsite can be stored in remote archives and therefore shared among technicians without affecting the integrity and consistency of the database. The whole dataset can be extracted and processed by a dedicated software for statistical and spatial analysis. The MUSE-DV procedure was validated in the area struck by the 2016 Central Italy earthquake and the app presented here was preliminarily tested onsite on the buildings of Castelsantangelo sul Nera (Macerata district); the results contributed to damage and vulnerability analyses by the means of thematic maps.
Incentive Mechanism Design in Collaborative Management of Public Health Emergencies
Authors: Huang Yaxin , Lou Xinyu , Wang Changqing , Chen Zhisong
Published: June 2022

Against the background of the worldwide spread of the COVID-19 pandemic, due to the lack of effective collaborative incentive mechanisms, issues of dislocation and incoordination have emerged in the public health emergency management system (PES) globally. Nevertheless, the available research rarely touches upon the incentive mechanism design for the collaborative management of PES. To alleviate these inefficiency operations problems with PES, three game-theoretical decision models, including a decentralized decision model without public governance policy incentive (GPI), a decentralized decision model with GPI, and a collaborative decision model with GPI, were developed and analyzed to explore and design the incentive mechanism of PES. Furthermore, the corresponding numerical and sensitivity analyses were conducted to validate the modelling results in the article. The research results show that: (1) the collaborative decision scenario with GPI performs best, and the decentralized decision scenario with GPI performs second-best regarding the equilibrium emergency management efforts (EMEs) and utilities in all the decision scenarios; (2) an incentive mechanism of the “carrot + Stick” can effectively enhance the collaborative management of public health emergencies and its governance-driven operational performance/efficiency; (3) strengthening the performance assessment of emergency management for relevant government departments is beneficial in improving the overall emergency management efficiency of the PES; (4) reducing the cost of EMEs and enhancing the effectiveness of EMEs are conducive to improving the overall emergency management efficiency of the PES. This research provides a novel framework for designing an effective incentive mechanism to overcome the incoordination impacts and achieve collaborative operations across the PES.
The Sustainability of Fresh Agricultural Produce Live Broadcast Development: Influence on Consumer Purchase Intentions Based on Live Broadcast Characteristics
Authors: Guo Hongpeng , Sun Xiangnan , Pan Chulin , Xu Shuang , Yan Nan
Published: June 2022

This paper is based on consumer purchase decisions and uses the consumers of live fresh agricultural products as the research object. We analyze consumers’ intention to purchase and analyze the role of perceived risk and value co-creation in consumers’ purchase of fresh agriculture products. Structural equation modeling analysis and stepwise regression coefficient analysis were used. The results show that: (1) the fresh agricultural products’ live features can positively influence consumers’ intention to buy; (2) the authenticity of fresh agricultural products live broadcast shows a significant negative correlation with perceived risk, and the visibility of fresh agricultural products live broadcast shows a significant positive correlation with value co-creation; (3) the perceived risk and value co-creation mediate between the live-stream features of fresh agricultural products and consumers’ intention to buy. The study results provide a basis for management decisions on the live broadcast of fresh agricultural products. It also has important implications for the sustainability of live broadcast of fresh agricultural products.
Corporate Nature, Financial Technology, and Corporate Innovation in China
Authors: Gao Yuying , Jin Shanyue
Published: June 2022

Corporate innovation has become the main driving force for the long-term development of enterprises, but the characteristics of high risk, long cycle, and high capital demand of corporate innovation activities expose enterprises to high financial rejection. Financial technology, formed by combining digital technology with traditional financial services, is gradually changing the financial service model and providing new ideas for corporate investment and financing. In this study, using the data of non-financial and non-real estate listed companies in Shanghai and Shenzhen markets, A-shares from 2015 to 2020, we examine the effect of financial technology on corporate innovation through a fixed-effects model and investigate the influence of corporate characteristics on the relationship between financial technology and innovation through a moderating-effects model. The results show that financial technology enhances the ability to serve real enterprises by reshaping financial services, which in turn effectively drives an increase in corporate innovation, and the mechanism is conditionally heterogeneous. In addition, the moderating effect of the firm’s nature is found to be more significant in non-state-owned firms, high-technology firms, and firms in the growth and maturity stages by life cycle. The policy implications of this study are to continuously promote theoretical research, to guide the development of fintech, and to improve the construction of financial technology infrastructure. Additionally, to deepen the integration of financial technology with real enterprises and establish differentiated financial technology support tools, so as to improve the precision of promoting enterprise innovation.
Differential Analysis of Teachers’ Technological Pedagogical Content Knowledge (TPACK) Abilities According to Teaching Stages and Educational Levels
Authors: Li Suqi , Liu Yuxuan , Su Yu-Sheng
Published: June 2022

The development of educational informatization imposes new requirements on the cultivation of teachers’ digital competence, which appeals to teachers who aim to optimize their teaching by integrating appropriate Information and Communication Technology (ICT). The requirement of digital competence corresponds to the meaning of Technological Pedagogical Content Knowledge (TPACK). Therefore, the development of teachers’ TPACK abilities can also positively influence the cultivation of their digital competence. The study was to examine the level of teachers’ TPACK abilities, and whether any difference in such abilities would be found according to the different teaching stages and teachers’ educational levels. An online questionnaire was distributed to the target teachers. Data of 1342 participants were analyzed. SPSS was used to conduct the descriptive statistics, and the non-parametric Kruskal–Wallis test with the post-hoc pairwise comparisons was used to determine teachers’ TPACK ability levels and explore the differences in teachers’ TPACK according to their different teaching stages and educational levels. The results indicated that teachers’ TPACK abilities were at a generally high level. Moreover, significant differences in teachers’ TPACK abilities were found in the teaching stages and educational levels. Teachers with different teaching stages have significant differences in Content Knowledge (CK), Pedagogical Knowledge (PK), Technological Pedagogical Knowledge (TPK), Technological Content Knowledge (TCK), and Technological Pedagogical Content Knowledge (TPACK). However, no difference was found between Technological Knowledge (TK) and Pedagogical Content Knowledge (PCK). In addition, the results suggested that the seven sub-dimensions of TPACK differed significantly according to teachers’ educational levels, where the higher the educational level, the better the teachers’ TPACK abilities. Therefore, teachers should effectively integrate technology and apply appropriate pedagogies according to the teaching content in different teaching stages. A planned and targeted series of ICT application training courses for teachers with lower educational levels would be helpful to improve their self-confidence in using technology to promote their teaching effectiveness.
Mainstreaming Community Energy: Is the Renewable Energy Directive a Driver for Renewable Energy Communities in Germany and Italy?
Authors: Krug Michael , Di Nucci Maria Rosaria , Caldera Matteo , De Luca Elena
Published: June 2022

By 30 June 2021, EU Member States were expected to transpose the recast Renewable Energy Directive (RED II) which includes provisions for renewable energy communities (RECs) and to develop an enabling framework to promote the development of RECs. Although there is a growing number of studies analysing the emergence of various forms of community energy, comparative studies investigating the transposition and creation of enabling frameworks for RECs in a multi-level governance (MLG) perspective are scarce. This article examines the transposition in Germany and Italy and compares elements of the respective enabling frameworks. Key methods include context and MLG analysis combined with methods of descriptive (legal) studies. Insights and participatory observations of the stakeholder desks established in the Horizon2020 project COME RES complement the spectrum of methods deployed. Although community energy development is more advanced in Germany, the transposition of the RED II provisions has been slow and piecemeal so far. Conversely, in Italy, RED II played a catalyst role; the transposition has been rather dynamic and encouraged a continuous growth of REC initiatives. Nevertheless, a widespread uptake of RECs requires structural adjustments of the governance system in both countries and attention to MLG as well as vertical policy coordination.
Discussing the Role of ICT in Sustainable Disaster Management
Authors: D’Andrea Alessia , Grifoni Patrizia , Ferri Fernando
Published: June 2022

This paper analyses the role of information and communications technology (ICT) in supporting the implementation of the actions to be undertaken by the various actors of the Quadruple Helix (science, policy, industry, and society) in case of a disaster through the lens of sustainable development. A two-step methodology consisting of an online forum discussion with experts from SSH and ICT fields and a desk analysis of sustainable development goals and ICT tools for disaster management has been adopted. A set of actions that Quadruple Helix actors should implement under the ten sustainable development goals related to disaster risk reduction is provided in the paper. The role of ICT in favouring the implementation of the actions for achieving the sustainable development goals is underlined.
Insect-Based Food: A (Free) Choice
Authors: Martins Oliva M. D. , Bucea-Manea-Țoniș Rocsana , Bašić Jasmina , Coelho Ana Sofia , Simion Violeta-Elena
Published: June 2022

The literature highlights the importance of insect consumption for nutritional health habits. The increasingly clear legislation, the developed studies demonstrating their nutritional value, and the prospect of overcoming some barriers that have prevented consumers from consuming insects are among the reasons supporting the advantages of consuming insects. The leading determinants of consumption are culture and individual and social beliefs, accessibility to a particular nutritional resource, and individual behavior. The barriers to neophobia were analyzed by evaluating factors of influence and their respective relationship and meaning through quantitative research to measure the significance of the results. To develop a conceptual model that aims to change eating behavior and recognize structural aspects that can be barriers in the process of changing eating behavior, a methodological framework was developed. The methodological framework aimed to identify the characteristics that can be associated with the profile of opinion leaders, and it included a questionnaire which was applied to 213 young people. Moreover, the structural equation model was the statistical technique used. Given the projected population growth and increasing life expectancy, nutrition is a challenge in terms of health, but also in economic, social, and environmental respects. Aiming for sustainability, it is crucial to identify nutritional alternatives within the circular economy.
Enhanced Nitrogen Removal in a Pilot-Scale Anoxic/Aerobic (A/O) Process Coupling PE Carrier and Nitrifying Bacteria PE Carrier: Performance and Microbial Shift
Authors: Gu Shengbo , Liu Leibin , Zhuang Xiaojie , Qiu Jinsheng , Zhou Zhi
Published: June 2022

Integrated fixed-film activated sludge technology (IFAS) has a great advantage in improving nitrogen removal performance and increasing treatment capacity of municipal wastewater treatment plants with limited land for upgrading and reconstruction. This research aims at investigating the enhancing effects of polyethylene (PE) carrier and nitrifying bacteria PE (NBPE) carrier on nitrogen removal efficiency of an anoxic/aerobic (A/O) system from municipal wastewater and revealing temporal changes in microbial community evolution. A pilot-scale A/O system and a pilot-scale IFAS system were operated for nearly 200 days, respectively. Traditional PE and NBPE carriers were added to the IFAS system at different operating phases. Results showed that the treatment capacity of the IFAS system was enhanced by almost 50% and 100% by coupling the PE carrier and NBPE carrier, respectively. For the PE carrier, nitrifying bacteria abundance was maintained at 7.05%. In contrast, the nitrifying bacteria on the NBPE carrier was enriched from 6.66% to 23.17%, which could improve the nitrogen removal and treating capacity of the IFAS system. Finally, the ammonia efficiency of the IFAS system with NBPE carrier reached 73.0 ± 7.9% under 400% influent shock load and hydraulic retention time of 1.8 h. The study supplies a suitable nitrifying bacteria enrichment method that can be used to help enhance the nitrogen removal performance of municipal wastewater treatment plants. The study’s results advance the understanding of this enrichment method that effectively improves nitrogen removal and anti-resistance shock-load capacity.
Open Government Data in Gulf Cooperation Council Countries: An Analysis of Progress
Authors: Mutambik Ibrahim , Almuqrin Abdullah , Lee John , Gauthier Jeffrey , Homadi Abdullah
Published: June 2022

Open government data (OGD) has been introduced relatively recently in Gulf Cooperation Council Countries (GCC Countries). However, progress has been significantly less than either hoped for or expected. The purpose of this research is to explore the reasons for this lack of progress. To do so, the attitudes and views of a range of senior government department (OGD-related) personnel were sought, using semi-structured interviews, and the results examined using thematic analysis. Unlike existing studies, which focus on external barriers to progress, this study focuses on internal factors which can result in a lack of progress to implementation, such as leadership attitudes, organisational culture and fear of failure. The findings show that considerable changes are required at both an ideological and practical level, if the gap between expectation and reality is to be closed. The paper concludes with recommendations of specific actions that can be taken to close this gap and the identification of areas where further study would be useful.
Simulation Model for Wire Harness Design in the Car Production Line Optimization Using the SimPy Library
Authors: Guerrero Ruddy , Serrano-Hernandez Adrian , Pascual Jose , Faulin Javier
Published: June 2022

The automotive industry is one of the most important economic sectors in the world. At the beginning, vehicles only had mechanical components, so the use of an automotive wire harness was not indispensable. Cars today are equipped with electronic components that, in addition to the basic operations of moving, turning, and stopping, perform more and more functions every day. Wiring harnesses are indispensable for controlling these electronic components. Automotive wiring harnesses have hundreds of variants, are principally manufactured with customized designs, and are measured specifically for each car. A large number of production variants increase labor hours, as well as rework, inventory, and manufacturing costs. Even when technologies exist to assist in the design of production lines, today, the design of production lines is mainly based on experience from previous cases. This paper aims to show how a discrete event simulation permits support for decision making for the proper design of assembly lines, as well as identifying possible unbalances in production lines and overloaded processes. In our work, we design and implement a discrete event simulation model of this production using the SimPy Python library. Finally, a case study in the automotive sector is presented, a production week is simulated, and the current plant configuration and possible improvement scenarios are analyzed.
A Consistent Theory of Tachyons with Interesting Physics for Neutrinos
Authors: Schwartz Charles
Published: June 2022

Working strictly within the physics theories of Special and General Relativity, I have produced a series of studies developing a consistent mathematical description of tachyons, using both classical and quantum frameworks for particles and fields. The most important choices throughout this work concern the question of which habits from the study of ordinary particles (those that are restricted to velocities less than that of light) should be kept and which should be changed. The first part of this paper notes an alternative set of theories wherein that question is answered differently from the choices of this author; and the results of that are severe in terms of physical symmetry. Following that is a broad summary of what has been accomplished in this work: this starts with the recognition that low energy tachyons will create large gravitational fields through the space-components of the energy-momentum tensor and leads to studying properties of the cosmic neutrino background. Lastly there is a discourse on the various arguments that have been given against the very possibility for tachyons to exist.
Numerical Investigation of Nonlinear Shock Wave Equations with Fractional Order in Propagating Disturbance
Authors: Fang Jiahua , Nadeem Muhammad , Habib Mustafa , Akgül Ali
Published: June 2022

The symmetry design of the system contains integer partial differential equations and fractional-order partial differential equations with fractional derivative. In this paper, we develop a scheme to examine fractional-order shock wave equations and wave equations occurring in the motion of gases in the Caputo sense. This scheme is formulated using the Mohand transform (MT) and the homotopy perturbation method (HPM), altogether called Mohand homotopy perturbation transform (MHPT). Our main finding in this paper is the handling of the recurrence relation that produces the series solutions after only a few iterations. This approach presents the approximate and precise solutions in the form of convergent results with certain countable elements, without any discretization or slight perturbation theory. The numerical findings and solution graphs attained using the MHPT confirm that this approach is significant and reliable.
Recognition of Car Front Facing Style for Machine-Learning Data Annotation: A Quantitative Approach
Authors: Ma Lisha , Wu Yu , Li Qingnan , Yuan Xiaofang
Published: June 2022

Car front facing style (CFFS) recognition is crucial to enhancing a company’s market competitiveness and brand image. However, there is a problem impeding its development: with the sudden increase in style design information, the traditional methods, based on feature calculation, are insufficient to quickly handle style analysis with a large volume of data. Therefore, we introduced a deep feature-based machine learning approach to solve the problem. Datasets are the basis of machine learning, but there is a lack of references for car style data annotations, which can lead to unreliable style data annotation. Therefore, a CFFS recognition method was proposed for machine-learning data annotation. Specifically, this study proposes a hierarchical model for analyzing CFFS style from the morphological perspective of layout, surface, graphics, and line. Based on the quantitative percentage of the three elements of style, this paper categorizes the CFFS into eight basic types of style and distinguishes the styles by expert analysis to summarize the characteristics of each layout, shape surface, and graphics. We use imagery diagrams and typical CFFS examples and characteristic laws of each style as annotation references to guide manual annotation data. This investigation established a CFFS dataset with eight types of style. The method was evaluated from a design perspective; we found that the accuracy obtained when using this method for CFFS data annotation exceeded that obtained when not using this method by 32.03%. Meanwhile, we used Vgg19, ResNet, ViT, MAE, and MLP-Mixer, five classic classifiers, to classify the dataset; the average accuracy rates were 76.75%, 78.47%, 78.07%, 75.80%, and 81.06%. This method effectively transforms human design knowledge into machine-understandable structured knowledge. There is a symmetric transformation of knowledge in the computer-aided design process, providing a reference for machine learning to deal with abstract style problems.
Variable Selection of Heterogeneous Spatial Autoregressive Models via Double-Penalized Likelihood
Authors: Tian Ruiqin , Xia Miaojie , Xu Dengke
Published: June 2022

Heteroscedasticity is often encountered in spatial-data analysis, so a new class of heterogeneous spatial autoregressive models is introduced in this paper, where the variance parameters are allowed to depend on some explanatory variables. Here, we are interested in the problem of parameter estimation and the variable selection for both the mean and variance models. Then, a unified procedure via double-penalized quasi-maximum likelihood is proposed, to simultaneously select important variables. Under certain regular conditions, the consistency and oracle property of the resulting estimators are established. Finally, both simulation studies and a real data analysis of the Boston housing data are carried to illustrate the developed methodology.
An Axisymmetric Problem of Suspension Filtering with Formation of Elastic–Plastic Cake Layer
Authors: Khuzhayorov Bakhtiyor Kh. , Saydullaev Usmonali , Ibragimov Gafurjan , Wahi Nadihah
Published: June 2022

The paper considers an axisymmetric problem of filtering suspensions with the formation of a cake on the filter surface. It is supposed that the cake has elastic–plastic properties. Using the mass conservation equation and Darcy’s law, the suspension filtration equations at the elastic–plastic regime are derived, which characterize the partial irreversibility of the filtration characteristics when the system is unloaded after loading. An equation is also derived that describes the increase in the thickness of the cake. Problems of suspension filtering for the derived equations are posed and numerically solved. The role of partial irreversibility of deformation on the filtration characteristics is estimated. Distributions of compression pressure, the concentration of solid particles in the cake, relative permeability in the mode of primary and secondary loading of the system, as well as in the mode of unloading after the first loading are obtained. The growth dynamics of the cake thickness are also established. The parameters of plasticity in terms of particle concentration and permeability mainly affect the corresponding indicators, i.e., on the particle concentration distribution and on the relative permeability of the cake. It is shown, that depending on the change in the model parameters characterizing the elastic–plastic properties of the cake, the filtration characteristics change significantly. This indicates a significant effect of the elastic–plastic deformation of the cake on the suspension filtration characteristics.
Singularities of Slant Focal Surfaces along Lightlike Locus on Mixed Type Surfaces
Authors: Yu Haibo , Chen Liang
Published: June 2022

There are generally the mixed type surfaces with lightlike locus in the Lorentz-Minkowski 3-space. To investigate the geometry of lightlike locus, we define slant focal surfaces and slant evolutes associated to the oringinal mixed type surface by using a moving frame field along the lightlike locus defined by Honda etc. We obtain that singularities of slant focal surfaces and slant evolutes depend on the differential geometric properties of the lightlike locus. Furthermore, we investigate the relationship between slant focal surfaces and slant evolutes. We also consider the relationship between slant evolutes and the lightlike locus on the lightcone.
A Two-Stage Siamese Network Model for Offline Handwritten Signature Verification
Authors: Xiao Wanghui , Ding Yuting
Published: June 2022

Offline handwritten signature verification is one of the most prevalent and prominent biometric methods in many application fields. Siamese neural network, which can extract and compare the writers’ style features, proves to be efficient in verifying the offline signature. However, the traditional Siamese neural network fails to represent the writers’ writing style fully and suffers from low performance when the distribution of positive and negative handwritten signature samples is unbalanced. To address this issue, this study proposes a two-stage Siamese neural network model for accurate offline handwritten signature verification with two main ideas: (a) adopting a two-stage Siamese neural network to verify original and enhanced handwritten signatures simultaneously, and (b) utilizing the Focal Loss to deal with the extreme imbalance between positive and negative offline signatures. Experimental results on four challenging handwritten signature datasets with different languages demonstrate that compared with state-of-the-art models, our proposed model achieves better performance. Furthermore, this study tries to extend the proposed model to the Chinese signature dataset in the real environment, which is a significant attempt in the field of Chinese signature identification.
Identification and Characterization of a Potential Antimicrobial Peptide Isolated from Soil Brevibacillus sp. WUL10 and Its Activity against MRSA Pathogens
Authors: Atipairin Apichart , Songnaka Nuttapon , Krobthong Sucheewin , Yingchutrakul Yodying , Chinnawong Thapanee , Wanganuttara Thamonwan
Published: June 2022

Methicillin-resistant Staphylococcus aureus (MRSA) is a severe threat to public health globally. The development of novel agents has encountered the repeated mechanism of drug resistance. This study aimed to investigate an anti-MRSA substance isolated from a promising soil bacterium. The result showed that an isolate (WUL10) was in the Brevibacillus genus. The minimum inhibitory concentration (MIC) of the purified substance was 1 µg/mL against S. aureus TISTR 517 and MRSA strains. This substance showed the bactericidal effect at the concentration of 1–2 µg/mL against these bacterial indicators. The activity of the substance retained more than 95% when encountering high temperatures and a wide range of pH, but it was sensitive to proteolytic enzymes and SDS. It was identified as a novel antimicrobial peptide (KVLVKYLGGLLKLAALMV-COOH) with the predicted structure of α-helix. The substance could rupture the cell wall of the tested pathogen. MIC and MBC of the synthesized peptide were 16 and 64 µg/mL, respectively. The difference in the activity between the isolated and synthetic peptides might be from the synergistic effects of other AMPs in the purified substance. This novel AMP would provide an advantage for further development of anti-MRSA substances to manage the situation of antibiotic resistance.
Interaction of Haemagogus leucocelaenus (Diptera: Culicidae) and Other Mosquito Vectors in a Forested Area, Rio de Janeiro, Brazil
Authors: Freitas Silva Shayenne , de Mello Cecilia , Machado Sergio , Leite Paulo , Alencar Jeronimo
Published: June 2022

The yellow fever (YF) virus has been detected throughout Brazil, with the occurrence of human cases, cyclic epizootics, and its isolation from Haemagogus janthinomys and Hg. leucocelaenus. We assessed the seasonal occurrence, egg abundancy, and oviposition interaction of mosquito vector species captured at a Private Natural Heritage Reserve in the Atlantic Forest biome. A total of 2943 eggs and 1538 mosquito larvae were collected from which 1231 belonged to entomologically important species. Ovitraps were used to collect immature mosquitoes from September 2019 to January 2021. The Mann–Whitney test was used to assess the differences in the abundance of eggs between rainy and dry seasons. Kruskal–Wallis and Dunn’s post hoc tests were used to evaluate the significance of the differences in the number of individuals from vector species. The highest percentage of mosquito vector eggs were collected during the rainy season, from December to February. Most eggs recovered from ovitraps belonged to the species Hg. leucocelaenus, representing 85% of all mosquito eggs identified. The other species had lower abundances and percentages: Aedes terrens (7%), Haemagogus janthinomys (5%) and Aedes albopictus (3%). The species that shared breeding sites with a higher frequency were Hg. leucocelaenus and Hg. janthinomys, with a statistically positive correlation (ρ = 0.74). This finding suggests that maybe the presence of Hg. leucocelaenus eggs acted as an attractant for Hg. janthinomys or vice versa. An understanding of mosquito oviposition behavior is necessary for the development of surveillance and control approaches directed against specific pathogen vectors of medical and veterinary importance.
Maximal Kinematical Invariance Group of Fluid Dynamics and Applications
Authors: Sreedhar V. V. , Virmani Amitabh
Published: June 2022

The maximal kinematical invariance group of the Euler equations of fluid dynamics for the standard polytropic exponent is larger than the Galilei group. Specifically, the inversion transformation (Σ:t→−1/t,x→→x→/t) leaves the Euler equation’s invariant. This duality has been used to explain the striking similarities observed in simulations of the supernova explosions and laboratory implosions induced in plasma by intense lasers. The inversion symmetry extends to discontinuous fluid flows as well. In this contribution, we provide a concise review of these ideas and discuss some applications. We also explicitly work out the implosion dual of the Sedov’s explosion solution.
Chaos in a Magnetized Modified Gravity Schwarzschild Spacetime
Authors: Yang Daqi , Cao Wenfu , Zhou Naying , Zhang Hongxing , Liu Wenfang , Wu Xin
Published: June 2022

Based on the scalar–tensor–vector modified gravitational theory, a modified gravity Schwarzschild black hole solution has been given in the existing literature. Such a black hole spacetime is obtained through the inclusion of a modified gravity coupling parameter, which corresponds to the modified gravitational constant and the black hole charge. In this sense, the modified gravity parameter acts as not only an enhanced gravitational effect but also a gravitational repulsive force contribution to a test particle moving around the black hole. Because the modified Schwarzschild spacetime is static spherical symmetric, it is integrable. However, the spherical symmetry and the integrability are destroyed when the black hole is immersed in an external asymptotic uniform magnetic field and the particle is charged. Although the magnetized modified Schwarzschild spacetime is nonintegrable and inseparable, it allows for the application of explicit symplectic integrators when its Hamiltonian is split into five explicitly integrable parts. Taking one of the proposed explicit symplectic integrators and the techniques of Poincaré sections and fast Lyapunov indicators as numerical tools, we show that the charged particle can have chaotic motions under some circumstances. Chaos is strengthened with an increase of the modified gravity parameter from the global phase space structures. There are similar results when the magnetic field parameter and the particle energy increase. However, an increase of the particle angular momentum weakens the strength of chaos.
The Macro-Physics of the Quark-Nova: Astrophysical Implications
Authors: Ouyed Rachid
Published: June 2022

A quark-nova is a hypothetical stellar evolution branch where a neutron star converts explosively into a quark star. Here, we discuss the intimate coupling between the micro-physics and macro-physics of the quark-nova and provide a prescription for how to couple the Burn-UD code to the stellar evolution code in order to simulate neutron-star-to-quark-star burning at stellar scales and estimate the resulting energy release and ejecta. Once formed, the thermal evolution of the proto-quark star follows. We found much higher peak neutrino luminosities (>1055 erg/s) and a higher energy neutrino (i.e., harder) spectrum than previous stellar evolution studies of proto-neutron stars. We derived the neutrino counts that observatories such as Super-Kamiokande-III and Halo-II should expect and suggest how these can differentiate between a supernova and a quark-nova. Due to the high peak neutrino luminosities, neutrino pair annihilation can deposit as much as 1052 ergs in kinetic energy in the matter overlaying the neutrinosphere, yielding relativistic quark-nova ejecta. We show how the quark-nova could help us understand many still enigmatic high-energy astrophysical transients, such as super-luminous supernovae, gamma-ray bursts and fast radio bursts.
Ulysses Flyby in the Heliosphere: Comparison of the Solar Wind Model with Observational Data
Authors: Maiewski Evgeniy V. , Malova Helmi V. , Popov Victor Yu. , Zelenyi Lev M.
Published: June 2022

A model capable of reproducing a set of solar wind parameters along the virtual spacecraft orbit out of an ecliptic plane has been developed. In the framework of a quasi-stationary axisymmetric self-consistent MHD model the spatial distributions of magnetic field and plasma characteristics at distances from 20 to 1200 Solar radii at almost all solar latitudes could be obtained and analyzed. This model takes into account the Sun’s magnetic field evolution during the solar cycle, when the dominant dipole magnetic field is replaced by the quadrupole one. Self-consistent solutions for solar wind characteristics were obtained, depending on the phase of the solar cycle. To verify the model, its results are compared with the observed characteristics of solar wind along the Ulysses trajectory during its flyby around the Sun from 1990 to 2009. It is shown that the results of numerical simulation are generally consistent with the observational data obtained by the Ulysses spacecraft. A comparison of the model and experimental data confirms that the model can adequately describe the solar wind parameters and can be used for heliospheric studies at different phases of the solar activity cycle, as well as in a wide range of latitudinal angles and distances to the Sun.