bluuebunny/crossref_metadata_2025 huggingface dataset:
What Is the Rational Choice of Community Governance Policy
Authors: Xiang Hongxun , Wang Xunhua , Wang Yue , Yang Yang , Yang Can , Huang Xinyi , Bu Yangfan , Wang Menglong
Published: January 2023

Community governance is the “micro-cell” of social governance and the foundation of the governance system. The rational selection logic of community governance policy reflects the value orientation, goal selection, and tool guarantee of governance policy. It is the result of the interaction between government and public values and it reflects the final value choice in the form of policy text and tries to balance policy rationality through accurate calculation. Through the analysis of 100 government work reports and 63 community governance policy documents of the Chinese government from 2013 to 2022, it was found that “People-oriented” was the core value orientation of governance policy. “Better life” was a key target choice for governance policy. “Diversified tools” were an important implementation guarantee for governance policy. These rational choices were consistent between the central and the local governments, but there was a conflict between localities. Urban and rural community governance policies need to establish a public space between policy rationality and value selection to solve the targeting bias of policy rationality in the future. This paper solves the conflict between policy rationality and value choice using the paths of expert think tank construction, highlighting leading goals, and using technology empowerment, to adjust the tension between the two through reasonable value choice and balanced policy rationality, to achieve the goal of urban and rural community governance modernization.
The Impact of Land-Use Structure on Carbon Emission in China
Authors: Zhang Hui , Gu Pengcheng , Cao Genrong , He Dongquan , Cai Bofeng
Published: January 2023

Research objectives: This paper discusses how to support the realization of carbon peak and carbon neutrality through the optimization of national spatial structures by establishing a relationship model between land-use structure and carbon emissions, and then provide theoretical and methodological support for the formulation of relevant policies and plans, as well as the evaluation of implementation effects. Research methods: grid analysis, GIS spatial analysis, double log linear regression model. Results: There is a strong correlation between the spatial structure of land and carbon emissions; the scale of construction land, especially industrial land, directly affects carbon emissions; if the area of construction land is doubled, CO2 emissions will increase by about 1.7 times. Conclusions: The potential of controlling carbon emission intensity through land structure at the urban level is great, and it is feasible to control carbon emission intensity through territorial spatial planning system. The control elements can be divided into the following levels: land supply control, land structure adjustment, land intensity constraint, and function adjustment of existing land.
Understanding the Effects of Alignments between the Depth and Breadth of Cloud Computing Assimilation on Firm Performance: The Role of Organizational Agility
Authors: Khayer Abul , Islam Mohammad Tariqul , Bao Yukun
Published: January 2023

The main objective of this research is to generate insights about the effect of the depth and breadth of cloud computing assimilation on firm performance. The authors construct a research model based on several strands of theories to achieve the objective. This study considers two implementation alignment strategies: balanced fit and complementary fit, reflecting strategic choices made by organizations about the importance of the depth and breadth of cloud technology implementation. The model has been tested using a survey of Chinese businesses. The empirical study results show that cloud computing assimilation’s depth and breadth, directly and indirectly, have a substantial positive effect, through organizational agility, on company performance. The depth and breadth of cloud deployment and organizational agility are also positively related. Furthermore, the complementary fit strategy has a major impact, whereas the balanced fit strategy has an insignificant effect on company performance.
Applying War Heritage in the National World War II History Course for College Students in China: An Exploration of Digitization Strategies
Authors: Chen Han-Xing , Sun Yikang
Published: January 2023

Digital media is increasingly being used in formal education. In China, in order to reduce the negative emotions and behaviors of college students in World War Two (WWII) history courses, digitized resources of war heritage are being applied to improve their learning experience. However, their effectiveness remains unconfirmed. Therefore, the purposes of this study are to: (1) test whether the transformation of war heritage into digital resources can help to improve the learning experience of college students; (2) explore the pivotal factors that affect the learning experience of college students; and (3) provide suggestions for improving the digital teaching resources regarding war heritage. The results of the questionnaire survey show that the participants have a positive view of digital teaching resources. In addition, low-interactive digital media can achieve higher learning effects. The multidimensional scaling (MDS) analysis also reveals that creativity in teaching and helping to form students’ values regarding cherishing peace are the foci with respect to improving the learning experience. On this basis, suggestions for improving the digital teaching resources regarding WWII heritage are proposed in this study, as follows: (a) to improve the quality of multisensory experiences in digital teaching media regarding war heritage; (b) to reduce the difficulties with human–computer interaction regarding digital teaching media; (c) to strengthen the correlation between digital resources and the teaching aims; and (d) to build a vision for peace and sustainable development through the narrative of digital media.
Performance Analysis and Identification of an Indirect Photovoltaic Thermal Dryer with Aluminum Oxide Nano-Embedded Thermal Energy Storage Modification
Authors: Şirin Ceylin , Selimefendigil Fatih , Öztop Hakan Fehmi
Published: January 2023

In the current paper, different thermal energy storage unit-integrated photovoltaic thermal (PVT) air collectors with and without nanoparticles have been designed, fabricated and tested. Aluminum oxide nanoparticles have been integrated into the thermal storage unit to increase the performance of the PVT collector. The developed collectors have been tested in a drying application at two different mass flow rates. The major goals of this work are upgrading the performance of the PVT air collector by employing a nano-embedded thermal energy storage unit and analyzing the impacts of using nanoparticles in the latent heat storage unit in the PVT collector on the drying performance of the system. The drying time was reduced by approximately 15–22% by employing nanoparticles in the thermal storage unit. Moreover, overall exergy efficiency values were obtained in ranges of 12.49–14.67% and 13.64–16.06%, respectively, for modified and unmodified PVT air collectors. It should be indicated that the overall energy and exergy efficiencies of the PVT air collectors were improved in the ranges of 6.91–6.97% and 9.20–9.47%, respectively, by using nanoparticles in the thermal energy storage unit. The combination of increasing the flow rate and integrating nanoparticles into the storage unit improved the overall exergetic efficiency of the PVT air collector by 28.58%. The mean exergetic efficiency of the drying room was between 48.33 and 54.26%. In addition to the experimental analysis, dynamic models for thermal and exergy efficiencies of developed collectors were constructed by employing the system identification method.
Study on Temporal and Spatial Characteristics of Fuzhou Built-Up Area Based on Remote Sensing Data of Nighttime Light
Authors: Zhang Feiyan , Gao Yonggang
Published: January 2023

It is of great significance to grasp the spatio-temporal characteristics and expansion mechanism of urban built-up areas for formulating urban development strategy. This paper takes the built-up area of Fuzhou as the study area, uses multi-temporal Landsat images and remote sensing data of nighttime light (NTL) as the main data sources, and extracts the built-up area of NTL images with a higher spatial resolution comparison method. It discusses the development trends of the Fuzhou built-up area from 2000 to 2021 from the perspectives of temporal and spatial evolution characteristics and spatial morphology evolution and analyzes the relationship between population factors, economic factors, natural conditions, policy factors, and urban expansion. The results show that the urbanization level of Fuzhou is gradually improving, and the compounded nighttime light index (CNLI) increases from 0.0105 in 2000 to 0.0635 in 2021. The trend of expansion speed and expansion intensity is consistent, showing the changing trend of first fast and then slow, then accelerating and then slowing down. The expansion direction presents the trend of “expanding eastward, advancing southward and expanding westward”, the spatial form tends to be irregular, and the migration range of the center of gravity is not significant. Population factors, economic factors, and expansion are positively correlated and closely related, and natural conditions and policy guidance affect the direction and mode of the expansion of the built-up area. The above results indicate that the overall urban development of Fuzhou shows an upward trend, which is consistent with the planned urbanization development trend of Fuzhou.
An Examination of the Thermal Comfort Impacts of Ficus altssima on the Climate in Lower Subtropical China during the Winter Season
Authors: Deng Wan , Xia Chunhua , Chen Jingyu , Jiang Yanji
Published: January 2023

As a common practice in urban landscape design, tree planting plays an important role in improving the environment and microclimate. This study aimed to investigate the thermal comfort effects provided by trees on the surrounding environment. Using the common tree species Ficus altissima growing in lower subtropical China, the variation in temperature, humidity, and wind speed due to the tree canopy was summarized, the intensity of transpiration and cooling effects was analyzed, and the regression relationship between the indicators and thermal comfort was investigated using the physiological equivalent temperature (PET). The results revealed that various indications for thermal comfort may be described separately by one-dimensional regression equations, and three viable multiple regression equations could be created using the PET by combining physical, physiological, and microclimatic parameters.
Recovery of Calcium from Reaction Fly Ash
Authors: Wang Jian-Zhi , Lin Hsiao-Han , Tang Yi-Chin , Shen Yun-Hwei
Published: January 2023

Reaction fly ash contains a large number of harmful substances, so it is usually solidified and buried in landfills. To improve the problem of insufficient landfill space, this study recovers CaOH from reaction fly ash to achieve mass and volume reduction. The leachate obtained by leaching the reaction fly ash with de-ionized water and 2N hydrochloric acid was used in the experiments, respectively. The volume reduction with 2N hydrochloric acid had better performance than de-ionized water, representing more than 90%. The leaching efficiency of Ca reached 21.06% with de-ionized water for 20 min at a condition of 25 °C and 7 mL/g pump density. The chemical precipitation with NaOH was conducted immediately after the completion of the leaching experiment, with a precipitation efficiency of CaOH reaching 98.55%. The leaching efficiency of Ca reached 70.26% with 2N hydrochloric acid for 30 min at a condition of 25 °C and 10 mL/g pump density. The chemical precipitation with NaOH and ion exchange with IRC748 were conducted, respectively, after the completion of the leaching experiment. After two precipitations, the precipitation efficiency of CaOH was 99.93%. The precipitation efficiency and purity of Ca after ion exchange separation were 99.90% and 98.91%, respectively. This work provided an effective approach to recover CaOH from reaction fly ash and accomplished volume reduction at the same time.
Exploring the Consumers’ Purchase Intention on Online Community Group Buying Platform during Pandemic
Authors: Zhang Mengyao , Hassan Hasliza , Migin Melissa Wendy
Published: January 2023

One of the main methods of shopping for many consumers during the COVID-19 pandemic was through online community group-buying. This shopping method caters to the consumer demand of reducing contact and centralized procurement. However, some online community group-buying platforms could not attract many consumers, and consumer participation was low. Therefore, determining which factors affect consumers’ willingness to use online community group buying is important. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived risk theory, this research explores the effects of performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived risk on consumers’ willingness to use online community group buying. In this research, a questionnaire survey was used, and the sample randomly collected from online consumers who had experience in online community group buying. A total of 280 respondents were collected. The collected data were analyzed by descriptive statistics, reliability, validity, correlation, and regression analysis. The results show that performance expectancy, effort expectancy, and social influence have a significant positive effect on the purchase intention of community group-buying consumers, while facilitating conditions and perceived risk have no significant positive effect. This research further enriched and improved the research on the use intention of an online community group-buying platform by integrating the UTAUT model and perceived risk theory. In practice, this research provides a new perspective and practical reference for how the online community group-buying platform can better attract consumers and maintain sustainable long-term customer relations.
Sustainable Project Governance: Scientometric Analysis and Emerging Trends
Authors: Zhang Lihong , Mohandes Saeed Reza , Tong Jiawei , Abadi Mohamed , Banihashemi Saeed , Deng Binchao
Published: January 2023

Though a relatively large number of studies on sustainable project governance (SPG) have been undertaken, the existing corpus of literature is bereft of a comprehensive review paper that scientometrically analyses the materials published hitherto and puts forward the research gaps and the corresponding future works to be conducted. To fill this knowledge gap, this study undertakes a bibliometric review and scientometric analysis by meticulously delving into the relevant body of knowledge of sustainable governance reported in different databases. From the results obtained using CiteSpace software, the following conclusions can be drawn: (1) most of the keywords with high centrality rankings are related to the environment, (2) “participation” and “land use” are the most important clusters, (3) the United Kingdom and the United States are by far the most advanced countries in the concerned field, (4) the hot topics within the defined clusters are “industry”, “transition management”, “property rights”, and “natural resources”, and (5) the two salient keywords are “public participation” and “insight”. The attained findings lay out a solid foundation for researchers and practitioners towards fostering the area of SPG, by focusing on land use, community participation, politics, climate change, and the water–energy–food nexus and finding ways to tackle the elaborated shortcomings.
The Influence of Short Video Platform Characteristics on Users’ Willingness to Share Marketing Information: Based on the SOR Model
Authors: Shi Rui , Wang Minghao , Liu Chang , Gull Nida
Published: January 2023

User marketing information sharing plays a significant role in boosting the effectiveness of short video marketing. Exploring the factors influencing the willingness to share has become a meaningful way to improve the dissemination of marketing information. This study examines how the characteristics of short video platforms affect users’ willingness to share marketing information and investigates the mediating role of users’ flow experience. We adopted qualitative and quantitative analyses to explore the issue. Twelve participants were recruited to conduct the online interviews and 306 valid data points on users’ willingness to share marketing information were obtained through a questionnaire. The study was conducted using structural equation modelling (SEM) and mediating effect tests. The interviews verified that the information quality, the service quality, and the system quality are essential characteristics of a well-established short video platform. The results of the empirical analysis showed that the information and the service and system quality of short video platforms have a positive impact on users’ willingness to share marketing information through perceived control and pleasure, respectively. The effect of information quality on users’ desire to share marketing information is the strongest. This study provides a reference for short video platforms to optimize and improve their marketing effectiveness.
Periurban Streetscape—Vernacular Front Gardens and Their Potential to Provide Ecosystem Services: A Case Study of Warsaw, Poland
Authors: Gawryszewska Beata J. , Myszka Izabela , Banaszek Michał , Schwerk Axel
Published: January 2023

At the time of reflection on green justice, when the role of public green spaces is increasing, it is worth paying attention to vernacular greenery, especially in single-family residential areas on city outskirts which property owners arrange in front parts of plots. The paper’s aim is to show that vernacular front gardens (VFG) can act as missing public space and at the same time have the attributes of public green space, providing ecosystem services (ES). In order to confirm these assumptions, we carried out a VFG’s attributes inventory and a survey on garden designers. We identified dominating garden features and conducted a cluster analysis of the gardens based on their characteristics. The basis for building periurban streetscape in single-family housing estates is the visual inclusiveness of VFGs. They provide all the ES groups, playing representational, natural and recreational roles as well as serving as locations of edible plants production. Streets in residential sites, thanks to VFG, can be treated as real green public spaces creating a type of green area accessible not only to owners but also to pedestrian eyes. We conclude that our results can be valuable for city planning but also for the professional garden designers.
Evaluation of Indonesian Butterfly Pea (Clitoria ternatea L.) Using Stability Analysis and Sustainability Index
Authors: Filio Yoshua Liberty , Maulana Haris , Aulia Reviana , Suganda Tarkus , Ulimaz Trixie Almira , Aziza Virda , Concibido Vergel , Karuniawan Agung
Published: January 2023

Yield and yield attributes are important components in genotypic evaluation. The butterfly pea is a native plant of Indonesia, and it is considered an underutilized crop. The goals of this study were to evaluate genotypes using environment (year) interactions (GEIs) with yield and yield attributes, and evaluate butterfly pea genotypes based on stability measurements and sustainability index (SI). The study was conducted at the Ciparanje Experimental Field, Faculty of Agriculture, Universitas Padjadjaran using 35 butterfly pea genotypes in a randomized complete block design with two replications. The field trial was conducted over three years (2018–2020). The results showed that the yield and yield attributes were influenced by GEIs. Additive main effects and multiplicative interaction (AMMI) selected 11 stable genotypes (31.43%); genotype plus genotype by environment interaction (GGE) biplot, AMMI stability value (ASV), and genotype stability index (GSI), each selected six genotypes (17.14%) that were stable and high-yielding, and SI selected 18 genotypes (51.43%) that were stable and high-yielding. There were three genotypes identified by all measurements, namely G2, G14, and G16. These three genotypes can be selected as the superior genotypes of the butterfly pea for flower production, and can be used as material for crosses in plant-breeding prog.
Digital Transformation and Technological Innovation on Higher Education Post-COVID-19
Authors: Deroncele-Acosta Angel , Palacios-Núñez Madeleine Lourdes , Toribio-López Alexander
Published: January 2023

The university is an important pillar in sustainable development; however, COVID-19 imposed new dynamics that called for rethinking university praxis to achieve this mission, and although the systematization of good practices is a powerful mechanism for understanding educational success, this perspective of positive change has been little developed. Hence, the present study aimed to identify positive cores of faculty in their successful post-COVID-19 performance. A qualitative methodological approach was deployed, with the Netnography method, complemented with elements of positive psychology, appreciative inquiry, and management of formative potentialities. The online community consisted of 1238 university teachers from 10 Latin American countries, who participated for two months in an appreciative interview as an asynchronous journey of constructive proposals, for the active co-construction of post-COVID-19 success factors. The findings reveal multiple affirmative topics grouped into nine positive cores, identifying two target categories: digital transformation and technological innovation, as well as the processes directly associated with their dynamization. Finally, the epistemic implications of the findings in theory and practice, and their relevance in the creation of a formative agenda of positive change for Latin American Higher Education, are presented.
Approaching Extracurricular Activities for Teaching and Learning on Sustainable Rehabilitation of Mass Housing: Reporting from the Arena of Architectural Higher Education
Authors: Dragutinovic Anica , Milovanovic Aleksandra , Stojanovski Mihajlo , Damjanovska Tea , Đorđevic Aleksandra , Nikezic Ana , Pottgiesser Uta , Ivanovska Deskova Ana , Ivanovski Jovan
Published: January 2023

The article presents the potentials and capacities of extracurricular activities such as student workshops for strengthening existing curricula and introducing emerging specialised areas, topics, and challenges into architectural higher education. The specific objective of this study is to enhance and test different pedagogical models for learning on the sustainable rehabilitation of mass housing neighbourhoods (MHN), as a specific type of modern heritage, through innovative extracurricular teaching practices based on interdisciplinarity, flexibility, and adaptability. This research presents three student workshops focusing on the rehabilitation of mass housing neighbourhoods (MHN), involving students, academics, and professionals from the field, organised in Germany, Serbia, and North Macedonia in 2022. Moreover, it engages a comparative analysis of the learning formats and approaches developed within this discipline-specific cross-border collaboration. The study provides (1) an insight into the comparative analysis of learning capabilities and (2) the formulation of workshop models supported by diagramming of the workshop structure. The conclusion of the article summarises the findings and highlights the essential aspects for engaging student workshops, as an instrument for generating operational knowledge in the field of mass housing rehabilitation.
Fusion Algorithm of the Improved A* Algorithm and Segmented Bézier Curves for the Path Planning of Mobile Robots
Authors: Lai Rongshen , Wu Zhiyong , Liu Xiangui , Zeng Nianyin
Published: January 2023

In terms of mobile robot path planning, the traditional A* algorithm has the following problems: a long searching time, an excessive number of redundant nodes, and too many path-turning points. As a result, the shortest path obtained from planning may not be the optimal movement route of actual robots, and it will accelerate the hardware loss of robots. To address the aforementioned problems, a fusion algorithm for path planning, combining the improved A* algorithm with segmented second-order Bézier curves, is proposed in this paper. On the one hand, the improved A* algorithm is presented to reduce unnecessary expansion nodes and shorten the search time, which was achieved from three aspects: (1) the traditional 8-neighborhood search strategy was adjusted to 5-neighborhood according to the orientation of the target point relative to the current node; (2) the dynamic weighting factor of the heuristic function was introduced into the evaluation function of the traditional A* algorithm; and (3) the key node extraction strategy was designed to reduce the redundant nodes of the optimal path. On the other hand, the optimal path planned by the improved A* algorithm was smoothed using segmented second-order Bézier curves. The simulation results show that the improved A* algorithm can effectively reduce the search time and redundant nodes and the fusion algorithm can reduce the path curvature and path length to a certain extent, improving path safety.
A Multifunctional ‘Scape Approach for Sustainable Management of Intact Ecosystems—A Review of Tropical Peatlands
Authors: Hiller Bradley , Fisher Judith
Published: January 2023

Nature is declining globally at unprecedented rates with adverse consequences for both ecological and human systems. This paper argues that only transformative change—a fundamental, system-wide reorganization—will be sufficient to arrest and reverse this loss and to meet globally agreed development goals, including the post-2020 Global Biodiversity Framework. In search for a credible platform to help facilitate such transformative change, this paper explores the potential of multifunctional ‘scape approaches to improve sustainable management outcomes at scale. Beyond a current international focus on nature restoration, this paper emphasizes the urgency and criticality of confirming approaches for sustainably preserving large ‘intact’ natural areas. Through a semi-systematic review of contemporary academic and gray literature and derivation of a theory of change, the authors consider tropical peatland systems—which can interconnect multiple ecosystem types and be of global biodiversity and carbon sequestration significance—to help derive potentially broader sustainable ecosystem management lessons. Beyond identifying key considerations for implementing multifunctional ‘scape approaches, the paper recommends further work to deepen understanding of the multidimensional ‘value’ of nature; strengthen governance frameworks; empower indigenous peoples and their knowledge sharing and community management; align nature-positive and climate-positive goals; andmobilize commensurate business and financial support.
Numerical Investigation on Potential Influencing Factors Affecting Drainage Effective Radius of Crossing Borehole
Authors: Xiao Wu , Li Ke , Zhu Chuanjie , Li Ziwen , Lin Baiquan , Ma Cong , Si Mingkai
Published: January 2023

Crossing borehole is an effective means to eliminate the outburst risk of coal and gas. The influence of borehole inclination angle, borehole diameter, and drainage time on the effective radius of gas drainage are studied by numerical simulation and engineering example verification. The study shows that the effective radius changes in a “U” shape with the increase in borehole inclination angle. When the angle α of the borehole and coal seam plane decreases, the effective radius increases. Furthermore, the coal mass around the borehole is broken by shear deformation, which is consistent with the results of the inner peephole. The effective radiuses are different in coal seam dip X and strike Y. When α is small, the effective radius in the X direction is generally wider. When α is large (α ≤ 90°), the effective radiuses in the X and Y directions are close. The effective radius is positively correlated with the borehole diameter and is more significantly influenced by increasing borehole diameter when α is small. The effective radius increases as a negative exponential function with time and eventually converges to a constant. The study has practical implications for the design of crossing borehole in the coal seam floor.
Coupling Coordination between University Scientific & Technological Innovation and Sustainable Economic Development in China
Authors: Yang Jian , Cheng Huadong
Published: January 2023

Coupling development between university science and technology (S&T) innovation and economy is an objective requirement for achieving sustainable economic and social development. The main goal of this paper is to explore the situation of the coupling coordination relationship between the two systems, i.e., university S&T innovation and sustainable economic development in China. It also hopes to provide a reference for promoting the coordinated development between the two. This paper constructs the evaluation index system of university S&T innovation and sustainable economic development separately and evaluates the indicators of university S&T innovation and sustainable economic development in 30 provincial regions in China from 2011 to 2020. On this basis, a coupling coordination degree model is constructed to evaluate the coupling coordination degree of university S&T innovation and sustainable economic development. Accordingly, this paper puts forward suggestions for promoting the coordinated development between university S&T innovation and sustainable economic development.
A Highly Efficient Infinity-Shaped Large Angular- and Polarization-Independent Metamaterial Absorber
Authors: Alsharari Meshari , Han Bo Bo , Patel Shobhit K. , Surve Jaymit , Aliqab Khaled , Armghan Ammar
Published: January 2023

An efficient diagonally symmetric infinity-shaped broadband solar absorber has been demonstrated in this research paper. The structure was developed with an infinity-shaped resonator made of titanium (Ti) and gallium arsenide (GaAs) at the base substrate layer to achieve absorption in a wideband spectrum under solar energy radiation, and absorption efficiencies were calculated employing the finite element method. The average solar energy absorption spectrum ranges from the ultraviolet to the mid-infrared regions, and 93.93% average absorption in this band is achieved. Moreover, bandwidths of 2800 and 1110 nm were observed, and, in these bands, we attained continuous absorption above 90% and 95%, respectively, with average absorption rates of 93.93% and 96.25%, respectively. Furthermore, based on this solar energy absorber, which was optimized after varying many design parameters, it is also observed that the developed design is angle-insensitive from 0° to 50° and polarization-insensitive from the results of the transverse electric (TE) and transverse magnetic (TM) modes. The developed infinity-shaped broadband solar absorber design is highly efficient and provides broadband absorptance that can be used as an absorber layer in solar cells.
Almost α-Kenmotsu Pseudo-Riemannian Manifolds with CR-Integrable Structure
Authors: Öztürk Hakan , Öztürk Sermin
Published: January 2023

This article aims to study almost α-Kenmotsu pseudo-Riemannian structure. We first focus on the concept of almost α-Kenmotsu pseudo-Riemannian structure and its basic properties. Then, we shall prove some fundamental formulas and some classification results on such manifolds with CR-integrable structure. Finally, some illustrative examples of almost α-Kenmotsu pseudo-Riemannian manifold are given.
Application of Discrete Pruned Enumeration in Solving BDD
Authors: Luan Luan , Shi Yanan , Gu Chunxiang , Zheng Yonghui
Published: January 2023

The bounded distance decoding (BDD) is a fundamental problem in lattice-based cryptography which is derived from the closest vector problem (CVP). In this paper, we adapt the lattice enumeration with discrete pruning, a burgeoning method for the shortest lattice vector problem (SVP), to solve BDD in various cryptanalysis scenarios using direct method. We first transfer the basic definition involved in discrete pruning technique from SVP to CVP, prove corresponding properties and give the specific procedures of the algorithm. Additionally, we use the discrete pruning technique to interpret the classical CVP algorithms, including Babai’s nearest plane and Lindner–Peikert nearest planes, which can be regarded as discrete pruned enumeration on some special pruning sets. We propose three probability models in the runtime analysis to accurately estimate the cost of our algorithm in different application scenarios. We study the application of discrete pruned enumeration for BDD mainly on LWE-based cryptosystem and DSA with partially known nonces. The experimental results show that our new algorithm has higher efficiency than the previous algorithms which directly solve BDD, including the nearest plane(s) algorithms and the lattice enumeration with classical pruning strategies, and we are able to recover the DSA secret with less leaked information than the previous works.
Novel Properties of q-Sine-Based and q-Cosine-Based q-Fubini Polynomials
Authors: Khan Waseem Ahmad , Alatawi Maryam Salem , Ryoo Cheon Seoung , Duran Ugur
Published: January 2023

The main purpose of this paper is to consider q-sine-based and q-cosine-Based q-Fubini polynomials and is to investigate diverse properties of these polynomials. Furthermore, multifarious correlations including q-analogues of the Genocchi, Euler and Bernoulli polynomials, and the q-Stirling numbers of the second kind are derived. Moreover, some approximate zeros of the q-sinebased and q-cosine-Based q-Fubini polynomials in a complex plane are examined, and lastly, these zeros are shown using figures.
Modified Exp-Function Method to Find Exact Solutions of Microtubules Nonlinear Dynamics Models
Authors: Shakeel Muhammad , Attaullah  , Shah Nehad Ali , Chung Jae Dong
Published: January 2023

In this paper, we use the modified exp−ψθ-function method to observe some of the solitary wave solutions for the microtubules (MTs). By treating the issues as nonlinear model partial differential equations describing microtubules, we were able to solve the problem. We then found specific solutions to the nonlinear evolution equation (NLEE) covering various parameters that are particularly significant in biophysics and nanobiosciences. In addition to the soliton-like pulse solutions, we also find the rational, trigonometric, hyperbolic, and exponential function characteristic solutions for this equation. The validity of the method we developed and the fact that it provides more solutions are demonstrated by comparison to other methods. We next use the software Mathematica 10 to generate 2D, 3D, and contour plots of the precise findings we observed using the suggested technique and the proper parameter values.
PointMapNet: Point Cloud Feature Map Network for 3D Human Action Recognition
Authors: Li Xing , Huang Qian , Zhang Yunfei , Yang Tianjin , Wang Zhijian
Published: January 2023

3D human action recognition is crucial in broad industrial application scenarios such as robotics, video surveillance, autonomous driving, or intellectual education, etc. In this paper, we present a new point cloud sequence network called PointMapNet for 3D human action recognition. In PointMapNet, two point cloud feature maps symmetrical to depth feature maps are proposed to summarize appearance and motion representations from point cloud sequences. Specifically, we first convert the point cloud frames to virtual action frames using static point cloud techniques. The virtual action frame is a 1D vector used to characterize the structural details in the point cloud frame. Then, inspired by feature map-based human action recognition on depth sequences, two point cloud feature maps are symmetrically constructed to recognize human action from the point cloud sequence, i.e., Point Cloud Appearance Map (PCAM) and Point Cloud Motion Map (PCMM). To construct PCAM, an MLP-like network architecture is designed and used to capture the spatio-temporal appearance feature of the human action in a virtual action sequence. To construct PCMM, the MLP-like network architecture is used to capture the motion feature of the human action in a virtual action difference sequence. Finally, the two point cloud feature map descriptors are concatenated and fed to a fully connected classifier for human action recognition. In order to evaluate the performance of the proposed approach, extensive experiments are conducted. The proposed method achieves impressive results on three benchmark datasets, namely NTU RGB+D 60 (89.4% cross-subject and 96.7% cross-view), UTD-MHAD (91.61%), and MSR Action3D (91.91%). The experimental results outperform existing state-of-the-art point cloud sequence classification networks, demonstrating the effectiveness of our method.
Safety Monitor Symmetry Concerning Beam Bridge Damage Utilizing the Instantaneous Amplitude Square Method
Authors: Guo Dongmei , Xiao Zhiquan , Qi Xingjun , Sun Xvfa
Published: January 2023

It is critical for the safety monitoring of highway bridges that beam bridge damage can be identified from the dynamic response of passing vehicles. Numerical simulations of passing vehicles were conducted utilizing the vehicle–bridge coupling vibration theory and the indirect measurement method. Fast Fourier transform was performed on the time history response of vehicle acceleration, and the driving frequency component response and its instantaneous amplitude square value (IAS value) were obtained by band-pass filtering and Hilbert transform processing. The identified IAS value detected the damage location of the bridge. The identification method of IAS value is used to analyze the applicability of a simply supported beam bridge, a continuous beam bridge, and an irregular skew beam bridge. The effects of vehicle speed, vehicle damping, bridge damping, and a social vehicle on damage identification are discussed. The results show that the effect of damage location is better when the vehicle speed is less than 4 m/s. In the presence of social vehicles, the excitation on the bridge increases, and the damage location can still be accurately determined by the IAS method. Vehicle damping and bridge damping have little effect on the results of damage identification. In structural health monitoring for bridges, this paper can provide a theoretical reference for the application of IAS motion sensing to identify the damage location indirectly.
Modeling the Amount of Carbon Dioxide Emissions Application: New Modified Alpha Power Weibull-X Family of Distributions
Authors: Emam Walid , Tashkandy Yusra
Published: January 2023

The use of statistical distributions to model life phenomena has received considerable attention in the literature. Recent studies have shown the potential of statistical distributions in modeling data in applied sciences, especially in environmental sciences. Among them, the Weibull distribution is one of the most well-known models that can be used very effectively for modeling data in the fields of pollution and gas emissions, to name a few. In this paper, we introduce a family of distributions, which we call the modified Alpha-Power Weibull-X family of distributions. Based on the proposed family, we introduce a new model with five parameters, the modified Alpha-Power Weibull–Weibull distribution. Some mathematical properties were determined. Bayesian and maximum likelihood estimates for the model parameters were derived. The MLEs, bootstrap and Bayesian HPD credibility intervals for the unknown parameters were performed. A Monte Carlo simulation study was performed to evaluate the performance of the estimates. A simulation study was performed based on the parameters of the proposed model. An application to the carbon dioxide emissions dataset was performed to predict unique symmetric and asymmetric patterns and illustrate the applicability and potential of the model. For this data set, the proposed model is compared with the modified alpha power Weibull exponential distribution and the two-parameter Weibull distribution. To show which of the competing distributions is the best, we draw on certain analytical tools such as the Kolmogorov–Smirnov test. Based on these analytical measures, we found that the new model outperforms the competing models.
Application of a Novel Synergetic Control for Optimal Power Extraction of a Small-Scale Wind Generation System with Variable Loads and Wind Speeds
Authors: Boudjemai Hamza , Ardjoun Sid Ahmed El Mehdi , Chafouk Houcine , Denai Mouloud , Elbarbary Z. M. Salem , Omar Ahmed I. , Mahmoud Mohamed Metwally
Published: January 2023

The synergetic control technique (SCT) has the solution for understanding the symmetry inherent in the non-linear properties of wind turbines (WTs); therefore, they achieve excellent performance and enhance the operation of the WT. Small-scale WTs are efficient and cost-effective; they are usually installed close to where the generated electricity is used. This technology is gaining popularity worldwide for off-grid electricity generation, such as in rural homes, farms, small factories, and commercial properties. To enhance the efficiency of the WT, it is vital to operate the WT at its maximum power. This work proposes an efficient and fast maximum power point tracking (MPPT) technique based on the SCT to eradicate the drawbacks of the conventional methods and enhance the operation of the WT at the MPP regardless of wind speed and load changes. The SCT has advantages, such as robustness, simplified design, fast response, no requirement for knowledge of WT characteristics, no need for wind sensors or intricate power electronics, and straightforward implementation. Furthermore, it improves speed convergence with minimal steady-state oscillations at the MPP. The investigated configuration involves a wind-driven permanent magnet synchronous generator (PMSG), uncontrolled rectifier, boost converter, and variable load. The two converters are used to integrate the PMSG with the load. Three scenarios (step changes in wind speed, stochastic changes in wind speed, and variable electrical load) are studied to assess the SCT. The results prove a high performance of the suggested MPPT control method for a fast convergence speed, boosted WT efficacy, low oscillation levels, and applicability under a variety of environmental situations. This work used the MATLAB/Simulink program and was then implemented on a dSPACE 1104 control board to assess the efficacy of the SCT. Furthermore, experimental validation on a 1 kW Darrieus-type WT driving a PMSG was performed.
Series Solution of the Time-Dependent Schrödinger–Newton Equations in the Presence of Dark Energy via the Adomian Decomposition Method
Authors: Harko Tiberiu , Lake Matthew J. , Mak Man Kwong
Published: January 2023

The Schrödinger–Newton model is a nonlinear system obtained by coupling the linear Schrödinger equation of canonical quantum mechanics with the Poisson equation of Newtonian mechanics. In this paper, we investigate the effects of dark energy on the time-dependent Schrödinger–Newton equations by including a new source term with energy density proportional to the cosmological constant Λ, in addition to the particle-mass source term. The resulting Schrödinger–Newton–Λ (S-N-Λ) system cannot be solved exactly, in closed form, and one must resort to either numerical or semianalytical (i.e., series) solution methods. We apply the Adomian Decomposition Method, a very powerful method for solving a large class of nonlinear ordinary and partial differential equations, to obtain accurate series solutions of the S-N-Λ system, for the first time. The dark energy dominated regime is also investigated in detail. We then compare our results to existing numerical solutions and analytical estimates and show that they are consistent with previous findings. Finally, we outline the advantages of using the Adomian Decomposition Method, which allows accurate solutions of the S-N-Λ system to be obtained quickly, even with minimal computational resources. The extensive use of the Adomian Decomposition Method in the field of quantum mechanics and quantum field theory may open new mathematical, and physical, perspectives on obtaining semi-analytical solutions for some complex problems of quantum theory.
Use of Rotary Ultrasonic Plastic Welding as a Continuous Interconnection Technology for Large-Area e-Textiles
Authors: Dils Christian , Hohner Sebastian , Schneider-Ramelow Martin
Published: January 2023

For textile-based electronic systems with multiple contacts distributed over a large area, it is very complex to create reliable electrical and mechanical interconnections. In this work, we report for the first time on the use of rotating ultrasonic polymer welding for the continuous integration and interconnection of highly conductive ribbons with textile-integrated conductive tracks. For this purpose, the conductive ribbons are prelaminated on the bottom side with a thermoplastic film, which serves as an adhesion agent to the textile carrier, and another thermoplastic film is laminated on the top side, which serves as an electrical insulation layer. Experimental tests are used to investigate the optimum welding process parameters for each material combination. The interconnects are initially electrically measured and then tested by thermal cycling, moisture aging, buckling and washing tests, followed by electrical and optical analyses. The interconnects obtained are very low ohmic across the materials tested, with resulting contact resistances between 1 and 5 mOhm. Material-dependent results were observed in the reliability tests, with climatic and mechanical tests performing better than the wash tests for all materials. In addition, the development of a heated functional prototype demonstrates a first industrial application.
Anisotropic Quark Stars with an Interacting Quark Equation of State within the Complexity Factor Formalism
Authors: Rincón Ángel , Panotopoulos Grigoris , Lopes Ilídio
Published: January 2023

Within the framework of Einstein’s General Relativity we study strange quark stars assuming an interacting equation-of-state. Taking into account the presence of anisotropies in a sphere made of ultra dense matter, we employ the formalism based on the complexity factor. We integrate the structure equations numerically imposing the appropriate conditions both at the center and at the surface of the stars, thus obtaining interior solutions describing hydrostatic equilibrium. Making use of well-established criteria, we demonstrate that the solutions obtained here are well behaved and realistic. A comparison with another, more conventional approach, is made as well. Our numerical results are summarized in a number of figures.