bluuebunny/crossref_metadata_2025 huggingface dataset:
Recognition of Chinese Electronic Medical Records for Rehabilitation Robots: Information Fusion Classification Strategy
Authors: Chu Jiawei , Kan Xiu , Che Yan , Song Wanqing , Aleksey Kudreyko , Dong Zhengyuan
Published: August 2024

Named entity recognition is a critical task in the electronic medical record management system for rehabilitation robots. Handwritten documents often contain spelling errors and illegible handwriting, and healthcare professionals frequently use different terminologies. These issues adversely affect the robot’s judgment and precise operations. Additionally, the same entity can have different meanings in various contexts, leading to category inconsistencies, which further increase the system’s complexity. To address these challenges, a novel medical entity recognition algorithm for Chinese electronic medical records is developed to enhance the processing and understanding capabilities of rehabilitation robots for patient data. This algorithm is based on a fusion classification strategy. Specifically, a preprocessing strategy is proposed according to clinical medical knowledge, which includes redefining entities, removing outliers, and eliminating invalid characters. Subsequently, a medical entity recognition model is developed to identify Chinese electronic medical records, thereby enhancing the data analysis capabilities of rehabilitation robots. To extract semantic information, the ALBERT network is utilized, and BILSTM and MHA networks are combined to capture the dependency relationships between words, overcoming the problem of different meanings for the same entity in different contexts. The CRF network is employed to determine the boundaries of different entities. The research results indicate that the proposed model significantly enhances the recognition accuracy of electronic medical texts by rehabilitation robots, particularly in accurately identifying entities and handling terminology diversity and contextual differences. This model effectively addresses the key challenges faced by rehabilitation robots in processing Chinese electronic medical texts, and holds important theoretical and practical value.
Magnetic Porous Hydrogel-Enhanced Wearable Patch Sensor for Sweat Zinc Ion Monitoring
Authors: Chu Yao , LvZeng Zhengzhong , Lu Kaijie , Chen Yangyang , Shen Yichuan , Jing Kejia , Yang Haifeng , Tang Wanxin
Published: August 2024

Wearable sensors for sweat trace metal monitoring have the challenges of effective sweat collection and the real-time recording of detection signals. The existing detection technologies are implemented by generating enough sweat through exercise, which makes detecting trace metals in sweat cumbersome. Generally, it takes around 20 min to obtain enough sweat, resulting in dallied and prolonged detection signals that cannot reflect the endogenous fluctuations of the body. To solve these problems, we prepared a multifunctional hydrogel as an electrolyte and combined it with a flexible patch electrode to realize real-time monitoring of sweat Zn2+. Such hydrogel has magnetic and porous properties, and the porous structure of hydrogel enables a fast absorption of sweat, and the magnetic property of the addition of fabricated Fe3O4 NPs not only improves the conductivity but also ensures the adjustable internal structures of the hydrogel. Such a sensing platform for sweat Zn2+ monitoring shows a satisfied linear relationship in the concentration range of 0.16–16 µg/mL via differential pulsed anodic striping voltammetry (DPASV) and successfully detects the sweat Zn2+ of four volunteers during exercise and resting, displaying a promising path for commercial application.
Node Role Selection and Rotation Scheme for Energy Efficiency in Multi-Level IoT-Based Heterogeneous Wireless Sensor Networks (HWSNs)
Authors: Shafique Tamoor , Soliman Abdel-Hamid , Amjad Anas , Uden Lorna , Roberts Debi Marie
Published: August 2024

The emergence of Internet of Things (IoT)-based heterogeneous wireless sensor network (HWSN) technology has become widespread, playing a significant role in the development of diverse human-centric applications. The role of efficient resource utilisation, particularly energy, becomes further critical in IoT-based HWSNs than it was in WSNs. Researchers have proposed numerous approaches to either increase the provisioned resources on network devices or to achieve efficient utilisation of these resources during network operations. The application of a vast proportion of such methods is either limited to homogeneous networks or to a single parameter and limited-level heterogeneity. In this work, we propose a multi-parameter and multi-level heterogeneity model along with a cluster-head rotation method that balances energy and maximizes lifetime. This method achieves up to a 57% increase in throughput to the base station, owing to improved intra-cluster communication in the IoT-based HWSN. Furthermore, for inter-cluster communication, a mathematical framework is proposed that first assesses whether the single-hop or multi-hop inter-cluster communication is more energy efficient, and then computes the region where the next energy-efficient hop should occur. Finally, a relay-role rotation method is proposed among the potential next-hop nodes. Results confirm that the proposed methods achieve 57.44%, 51.75%, and 17.63% increase in throughput of the IoT-based HWSN as compared to RLEACH, CRPFCM, and EERPMS, respectively.
Noise-Robust 3D Pose Estimation Using Appearance Similarity Based on the Distributed Multiple Views
Authors: Hwang Taemin , Kim Minjoon
Published: August 2024

In this paper, we present a noise-robust approach for the 3D pose estimation of multiple people using appearance similarity. The common methods identify the cross-view correspondences between the detected keypoints and determine their association with a specific person by measuring the distances between the epipolar lines and the joint locations of the 2D keypoints across all the views. Although existing methods achieve remarkable accuracy, they are still sensitive to camera calibration, making them unsuitable for noisy environments where any of the cameras slightly change angle or position. To address these limitations and fix camera calibration error in real-time, we propose a framework for 3D pose estimation which uses appearance similarity. In the proposed framework, we detect the 2D keypoints and extract the appearance feature and transfer it to the central server. The central server uses geometrical affinity and appearance similarity to match the detected 2D human poses to each person. Then, it compares these two groups to identify calibration errors. If a camera with the wrong calibration is identified, the central server fixes the calibration error, ensuring accuracy in the 3D reconstruction of skeletons. In the experimental environment, we verified that the proposed algorithm is robust against false geometrical errors. It achieves around 11.5% and 8% improvement in the accuracy of 3D pose estimation on the Campus and Shelf datasets, respectively.
A Design of Three-Dimensional Spatial Path Planning Algorithm Based on Vector Field Histogram*
Authors: Zong Chenning , Du Qiaoling , Chen Jianxv , Shan Yiran , Wu Yanpei , Sha Zhida
Published: August 2024

In this paper, we present a novel three-dimensional spatial path planning algorithm based on the Vector Field Histogram* (VFH*) approach, specifically tailored for underwater robotics applications. Our method leverages the strengths of VFH* in obstacle avoidance while enhancing its capability to handle complex three-dimensional environments. Through extensive simulations, we demonstrate the superior performance of our algorithm compared to traditional methods, such as RS-RRT algorithm. Our results show significant improvements in terms of computational efficiency and path optimality, making it a viable solution for real-time path planning in dynamic underwater environments.
Experimental Analysis of IPMC Optical-Controlled Flexible Driving Performance under PLZT Ceramic Configuration
Authors: Liu Yafeng , Ming Pingmei , Chen Jianhui , Jing Chenghu
Published: August 2024

Ionic polymer metal composite (IPMC) is regarded as the mainstream application material for achieving flexible driving technology in various engineering fields. In this article, aiming at the non-independence of the current IPMC electric driving method, an IPMC optical-controlled flexible driving method based on the photoinduced effects of lanthanum-modified lead zirconate titanate (PLZT) ceramic is proposed. To this end, a mathematical model for IPMC optical controlled flexible driving is built on the basis of the photovoltaic characteristic of PLZT ceramic, and the driving performance is experimentally analyzed through different lengths of IPMC under the excitation of different direct currents and light intensities. From the analysis and experimental results, when PLZT ceramic is irradiated by different light intensities, the output deformation of IPMC increases with increases in light intensity, and finally reaches a stable state. Moreover, the actuation curves obtained by light excitation and direct current excitation are consistent, and the motion coefficient reflects the driving performance more accurately. In addition, using light energy as an excitation source to drive IPMC not only provides new ideas for its development in the flexible driving field, but also provides a theoretical basis for its practical application.
A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
Authors: Safyari Yashar , Mahdianpari Masoud , Shiri Hodjat
Published: August 2024

Potholes and other road surface damages pose significant risks to vehicles and traffic safety. The current methods of in situ visual inspection for potholes or cracks are inefficient, costly, and hazardous. Therefore, there is a pressing need to develop automated systems for assessing road surface conditions, aiming to efficiently and accurately reconstruct, recognize, and locate potholes. In recent years, various methods utilizing (a) computer vision, (b) three-dimensional (3D) point clouds, or (c) smartphone data have been employed to map road surface quality conditions. Machine learning and deep learning techniques have increasingly enhanced the performance of these methods. This review aims to provide a comprehensive overview of cutting-edge computer vision and machine learning algorithms for pothole detection. It covers topics such as sensing systems for acquiring two-dimensional (2D) and 3D road data, classical algorithms based on 2D image processing, segmentation-based algorithms using 3D point cloud modeling, machine learning, deep learning algorithms, and hybrid approaches. The review highlights that hybrid methods combining traditional image processing and advanced machine learning techniques offer the highest accuracy in pothole detection. Machine learning approaches, particularly deep learning, demonstrate superior adaptability and detection rates, while traditional 2D and 3D methods provide valuable baseline techniques. By reviewing and evaluating existing vision-based methods, this paper clarifies the current landscape of pothole detection technologies and identifies opportunities for future research and development. Additionally, insights provided by this review can inform the design and implementation of more robust and effective systems for automated road surface condition assessment, thereby contributing to enhanced roadway safety and infrastructure management.
Gender Differences in Sexting and Its Association with Well-Being and Intimate Partner Violence Victimization from Adolescence to Old Age
Authors: Matud M. Pilar
Published: August 2024

Research has shown that sexting is an increasingly common behavior, especially among teens and young adults. However, despite numerous studies, the relevance of sexting to people’s well-being is unclear. The present study seeks to determine the relevance of gender in sexting behavior and its association with psychological well-being and intimate partner violence victimization across the life cycle, from adolescence to old age. This study was cross-sectional, and the sample consisted of 6719 women and men from the general Spanish population who were assessed by six questionnaires measuring sexting behavior, psychological distress, psychological well-being, life satisfaction, self-esteem, and intimate partner violence victimization. The results showed that participation in sexting was higher in men than in women at all stages of the life cycle studied, although the differences were not statistically significant among adolescents. Greater sexting behavior was associated with greater intimate partner violence victimization, an association that was stronger for adolescents. And although the magnitude of the association was small, more sexting was also associated with greater psychological distress and lower psychological well-being in all age groups except older women. Our study results allow us to conclude that sexting behavior may pose risks to the well-being of citizens.
Accepting Different Faiths: Insights from Religious Narratives of Individuals with Intellectual Disabilities in Poland
Authors: Parchomiuk Monika , Ćwirynkało Katarzyna , Żyta Agnieszka Beata
Published: August 2024

There is a dearth of research on how people with intellectual disabilities perceive different faiths, both their own and other people’s. The aim of this study was to explore certain aspects of religious identification among adults with intellectual disabilities: their declared affiliation with a specific denomination, their perceptions and subjective knowledge constituting the image of a “good follower”, their self-assessment, and their attitudes toward representatives of other denominations. In 2023, interviews were conducted with 34 adults with intellectual disabilities in three Polish cities to achieve this aim. The study was of an inclusive character and involved co-researchers with intellectual disabilities who participated in designing the research, conducting the interviews and the analysis. We found that people with intellectual disabilities do not always know how to define their religious affiliation and have limited knowledge and experience in relationships with individuals of different faiths, and their attitudes toward such individuals are varied. Nonetheless, they engage in various forms of religious activity.
Anaerobic and Aerobic Metabolic Capacities Contributing to Yo-Yo Intermittent Recovery Level 2 Test Performance in Australian Rules Footballers
Authors: Mooney Mitchell , Worn Ryan , Spencer Matt , O’Brien Brendan J.
Published: August 2024

This study aimed to identify the aerobic and anaerobic metabolic performance capacities contributing to Yo-Yo Intermittent Recovery level 2 (Yo-Yo IR2) test performance. Nineteen recreational Australian footballers completed a Yo-Yo IR2 test, and on another day a treadmill peak oxygen uptake (VO2peak) and maximal accumulated oxygen deficit test in a randomised counter-balanced order. The maximal accumulated oxygen deficit (MAOD) procedures included 5 × 5 min sub-maximal continuous runs at progressively higher speeds whilst VO2 was recorded; thereafter, speed was incrementally increased to elicit VO2peak. After 35 min of rest, participants ran at a speed equivalent to 115% of VO2peak until exhaustion, at which point expired air was collected to determine maximal accumulated oxygen deficit. Relationships between variables were assessed using Pearson’s correlation and partial correlations. Maximum aerobic speed, relative intensity, and VO2peak were significantly correlated with Yo-Yo IR2 performance. High Yo-Yo IR2 performers also had higher MAS, relative intensity, and VO2peak levels. However, when higher maximum aerobic speed, relative intensity, and VO2peak were controlled for each other and analysed independently, neither maximal aerobic speed nor VO2peak correlated with Yo-Yo IR2 performance. Yo-Yo IR2 performance is the result of a complex interaction between several variables. Training programs should primarily focus on improving VO2peak, maximal aerobic speed, and relative intensity to optimize Yo-Yo IR2 test performance.
Pozzolanic Potential of Calcined Clays at Medium Temperature as Supplementary Cementitious Material
Authors: Pinheiro Valber Domingos , Abreu Ramon Fernandes de , Alexandre Jonas , Xavier Gustavo de Castro , Marvila Markssuel Teixeira , de Azevedo Afonso Rangel Garcez
Published: August 2024

Global warming is intensified by substantial greenhouse gas emissions, with the cement industry contributing significantly by releasing around 0.8 tons of CO2 per ton of cement produced. To mitigate these impacts, in this study, we investigated the pozzolanic potential of calcined clays, assessing their influence on the properties of Portland cement as sustainable alternatives for partial replacement. Three clays from Campos dos Goytacazes, RJ, were analyzed. After drying and calcining at 600 °C, they underwent physical and chemical analysis. The samples were characterized in terms of grain size, moisture content, grain density and plasticity limit. Chemical analysis by X-ray fluorescence identified the elemental composition of the clays, while X-ray diffraction determined the presence of crystalline and amorphous phases. A mineralogical characterization confirmed the amorphization process and classified the clay as kaolinitic. Scanning electron microscopy provided detailed images of the morphology of the particles. The surface area was measured using the Blaine method, which is essential for understanding the reactivity of calcined clays. A preliminary analysis showed that the calcination at 600 °C led to greater pozzolanic reactivity in the clay samples. A thermal analysis showed a loss of mass, suggesting the dihydroxylation of the kaolinite. The pozzolanic reactivity was extensively evaluated by isothermal calorimetry, which monitored the release of heat during hydration reactions through compressive strength tests on the mortars that showed higher strength than the reference. In addition, modified Chapelle and R3 tests were carried out, which showed a direct correlation with the compressive strength, also indicating significant pozzolanic reactivity in the material. The results showed that the clays, when calcined, had a highly reactive amorphous structure, resulting from their transformation through the process of dihydroxylation and amorphization. Calorimetry identified the acceleration of the cement hydration reactions, stimulating the formation of calcium silicate hydrates and aluminum compounds, which are essential for mechanical strength. The partial replacement of Portland cement with calcined clays helps to reduce CO2 emissions without compromising strength and durability, representing a promising strategy for reducing greenhouse gas emissions, with a view to greater environmental sustainability and the efficiency of building materials.
Toward Greener Supply Chains by Decarbonizing City Logistics: A Systematic Literature Review and Research Pathways
Authors: Toktaş Doğukan , Ülkü M. Ali , Habib Muhammad Ahsanul
Published: August 2024

The impacts of climate change (CC) are intensifying and becoming more widespread. Greenhouse gas emissions (GHGs) significantly contribute to CC and are primarily generated by transportation—a dominant segment of supply chains. City logistics is responsible for a significant portion of GHGs, as conventional vehicles are the primary mode of transportation in logistical operations. Nonetheless, city logistics is vital for urban areas’ economy and quality of life. Therefore, decarbonizing city logistics (DCL) is crucial to promote green cities and sustainable urban living and mitigate the impacts of CC. However, sustainability encompasses the environment, economy, society, and culture, collectively called the quadruple bottom line (QBL) pillars of sustainability. This research uses the QBL approach to review the extant literature on DCL. We searched for articles on SCOPUS, focusing on analytical scholarly studies published in the past two decades. By analyzing publication years, journals, countries, and keyword occurrences, we present an overview of the current state of DCL research. Additionally, we examine the methods and proposals outlined in the reviewed articles, along with the QBL aspects they address. Finally, we discuss the evolution of DCL research and provide directions for future research. The results indicate that optimization is the predominant solution approach among the analytical papers in the DCL literature. Our analysis reveals a lack of consideration for the cultural aspect of QBL, which is essential for the applicability of any proposed solution. We also note the integration of innovative solutions, such as crowdsourcing, electric and hydrogen vehicles, and drones in city logistics, indicating a promising research area that can contribute to developing sustainable cities and mitigating CC.
How Do Digital Capabilities Impact the Sustained Growth of Entrepreneurial Income: Evidence from Chinese Farmer Entrepreneurs
Authors: Zhang Shanhu , Yang Jinxiu , Shen Yun , Li Zhuoli
Published: August 2024

The application of digital technology in China’s rural areas has triggered a brand-new allocation of agricultural factors, posing challenges to the sustainable growth of entrepreneurial income. Using empowerment theory and entrepreneurial process theory, this paper explores the mediating role of entrepreneurial alertness and resource bricolage in the relationship between digital capabilities and the sustainable growth of entrepreneurial income. Using questionnaire survey data from 490 farmer entrepreneurs in China, this paper empirically tests the effect of digital capabilities on the sustainable growth of entrepreneurial income through a multiple regression model. The findings show that: (1) digital capabilities have a significant positive effect on the sustainable increase in entrepreneurial income; (2) digital applicational capabilities and digital innovation capabilities can affect the sustainable increase in entrepreneurial income through the intermediary paths of entrepreneurial alertness and resource bricolage; and (3) digital capabilities have a more significant positive impact on the sustained growth of entrepreneurial income for young farmers and those with professional work experience in large cities who embark on farming entrepreneurship. This paper reveals the effect of digital technology when embedded in the entrepreneurial process. It also provides a theoretical reference and empirical support for the government to formulate reasonable entrepreneurial policies and offers new paths and solutions to promote sustainable entrepreneurial development through digital capabilities.
Spatial Distribution Characteristics and Influencing Factors of the Retail Industry in Ningbo City in Eastern China Based on POI Data
Authors: Fang Yaobin , Yu Hua , Chen Yuqing , Fu Xiaohong
Published: August 2024

The retail industry is a crucial element of the urban commercial framework, and its spatial configuration profoundly influences its urban planning, infrastructure development, resource allocation, and sustainable development. Based on the point of interest (POI) data for Ningbo’s retail industry in eastern China, this study used methodologies such as kernel density estimation, buffer analysis, and local spatial autocorrelation analysis to investigate the spatial distribution characteristics and influencing factors of Ningbo’s retail industry. The findings are as follows. First, the spatial distribution of Ningbo’s retail industry exhibits a “block aggregation and multi-center development” pattern. The overall trend is oriented from northwest to southeast. Second, various retail outlets generally cluster around two core zones and multiple island-like areas, which reflect the differences in hotspots due to varying characteristics. Third, the spatial distribution of retail stores is highly correlated with the physical geographical features, population distribution, major road networks, and residential zones. The research findings indicate that Ningbo currently faces issues such as an excessive concentration of specific retail formats and a lack of format diversity. Optimization strategies were proposed to sustainably develop the retail industry of Ningbo. This study provides valuable information to formulate sustainable development strategies for the retail industry in Ningbo and other small and medium cities.
Challenges of Using a Geographic Information System (GIS) in Managing Flash Floods in Shah Alam, Malaysia
Authors: Leeonis Adam Narashman , Ahmed Minhaz Farid , Mokhtar Mazlin Bin , Lim Chen Kim , Halder Bijay
Published: August 2024

A geographic information system (GIS) is a tool and technology capable of addressing the effects and challenges of natural disasters, particularly flash floods. GIS applications are used to generate flood risk maps to tackle flood issues. However, various challenges and problems arise when employing GIS to manage flash flood disasters in Shah Alam, Malaysia. Hence, this study aims to identify these challenges and gaps in GIS utilisation by Malaysian agencies for flash flood management in Shah Alam. Using the quadruple helix model technique, informal interviews were conducted as part of the study’s qualitative methodology. Five respondents were chosen from each of the four main sectors for primary data collection: government, academia, business, and community/NGO. The data were analysed using Taguette qualitative theme analysis. The findings reveal that the primary challenges lie in government management, particularly in providing equipment and access to GIS for all stakeholders, including the public. This challenge is attributed to the high costs and complexity associated with GIS data usage, limiting accessibility. Furthermore, there is a lack of expertise and research on GIS in Malaysian universities concerning flash flood management. The government should take proactive steps to improve flash flood management in Shah Alam, Malaysia, in order to solve these issues. Specifically, GIS training should be given to stakeholders, particularly those in the government and academic sectors, in order to develop GIS specialists who will be necessary for efficient flood management in Malaysia.
Integrated Assessment of Health Benefits and Burdens of Urban Greenspace Designs
Authors: Oosterbroek Bram , de Kraker Joop , Huynen Maud M. T. E. , Martens Pim
Published: August 2024

Urban greening is a major goal in policies for sustainable cities, and spatial planners are nowadays strongly interested in the benefits of greenspace for the well-being of urban residents. We present a novel, model-based approach to support the development of effective greening strategies. The approach is quantitative and spatially explicit and accounts for multiple health benefits as well as burdens. In our study, we applied this generic approach to the city of Maastricht (The Netherlands) and conducted an integrated, city-scale assessment of the health benefits and burdens of four urban greenspace designs. These included: ‘No greenspace’, ‘Current greenspace’, ‘Green parking lots and squares’, and ‘Optimized greenspace locations’. For each greenspace design, indicator values were calculated for five determinants of health and well-being: heat stress, air pollution, perceived unsafety, unattractive views, and tick-bite risk. To assess the health contribution of urban greenspace in a given design, these indicator values were compared with the values in the ‘No greenspace’ design. The study produced clear, quantitative conclusions about the health benefits and burdens of the urban greenspace designs for the case of Maastricht but also generated novel, more general insights relevant to the planning of urban greenspace for health and well-being. These insights concern the importance of translating health policy objectives into specific target values or thresholds and the importance of ‘smart’ choices in greenspace type and location that can effectively reduce trade-offs between health benefits and burdens, as well as the insights that adding more greenery not always improves urban health and that urban greenspace alone cannot solve major air pollution problems. The priorities for future research, which will address the limitations of the presented approach, concern a further expansion of the range of health benefits and burdens covered by the model and the development of a common metric for the entire range of health benefits and burdens to optimize greenspace design and maximize its overall net health benefit.
Palm Oil Business Partnership Sustainability through the Role of Social Capital and Local Wisdom: Evidence from Palm Oil Plantations in Indonesia
Authors: Baka Wa Kuasa , Rianse Ilma Sarimustaqiyma , la Zulfikar Zulfikar
Published: August 2024

Sustainable development can only be achieved when jointly considering social, economic, and environmental dimensions. Social capital and local wisdom offer important contributions to the development process and the capabilities of individuals and groups as development actors. This study analyzes the role of social capital and local wisdom in managing business partnerships between farmers and palm oil plantation companies in North Konawe, Indonesia. This research was conducted in a palm oil plantation area by involving landowner farmers, palm oil companies, and other stakeholders such as the local government, NGOs, and academics. Data were collected through in-depth interviews, field observations, and focus group discussions (FGDs), totaling 320 respondents, and analyzed descriptively and qualitatively. The selection of informants for the in-depth interviews was determined by considering their involvement in and understanding of the partnership between farmers and companies in oil palm plantations; field observations were carried out to determine the field conditions of these plantations, while FGDs were held to obtain stakeholder information regarding problems and solutions in implementing farmer and company partnerships with the aim of having a positive impact on economic, social, and environmental welfare. The results underscore the importance of social capital and local wisdom in organizing institutional programs for strengthening palm oil business partnerships. Trust, social networks, and participation negatively affected the sustainability of these partnerships, whilst local wisdom and social solidarity positively influenced institutional strengthening. Company inconsistency and lack of openness can lead to a trust crisis that can threaten the sustainable operations of palm oil companies, while building good cooperative commitment and maintaining collaboration play key roles in enhancing community welfare and increasing company profits. The social capital and local wisdom of farmer institutions in villages are expected to significantly contribute to the establishment of sustainable palm oil business partnerships.
Evolutionary Game Analysis of Government Regulation on Green Innovation Behavior Decision-Making of Energy Enterprises
Authors: Ji Gedi , Wang Qisheng , Chang Qing , Fang Yu , Bi Jianglin , Chen Ming
Published: August 2024

Encouraging environmentally friendly innovation in energy companies is an essential way to stop global warming. Through ingenious integration of reputation and fairness preference, this research develops an evolutionary game model between the government and energy companies. This research investigates the dynamic evolution of green innovation strategy selection by energy firms operating under government supervision, using an evolutionary game model as a basis. This study examines how government regulations, including their subsidies and penalties, reputation, and fairness preference, affect the green innovation behavior of energy enterprises. The research shows that without considering the fairness preference, the subsidy and punishment of government regulation can improve the tendency of energy enterprises to choose green innovation behavior. At the same time, considering the reputation of energy enterprises to assume social responsibility can improve the tendency of energy enterprises to choose green innovation behavior. In the case of considering fairness preference, energy companies with strong fairness preference are more likely not to adopt green innovation and need more subsidies and penalties to choose green innovation; energy enterprises with weak fairness preference are more likely to adopt green innovation; green innovation will take place with fewer subsidies and penalties; reputation plays a stronger role in energy companies with weak fairness preferences. The study can give the government a theoretical foundation on which to build precise regulatory plans for various energy firms and encourage green innovation in those enterprises.
Evolution of Confinement Stress in Axially Loaded Concrete-Filled Steel Tube Stub Columns: Study on Enhancing Urban Building Efficiency
Authors: Shariati Mahdi , Pourteymuri Mahsa , Naghipour Morteza , Toghroli Ali , Afrazi Mohammad , Shariati Morteza , Aminian Arman , Nematzadeh Mahdi
Published: August 2024

In the context of green building and sustainable urban development, understanding the mechanical behavior of structural components like concrete-filled steel tube (CFST) columns is crucial due to their improved load-bearing capacity, energy efficiency, and optimized material usage, which enhance structural resilience and sustainability. This research addresses the complex development of confining stress and its impact on the concrete core (CC) behavior within these columns, which are essential for urban infrastructure. Through extensive numerical studies, this study proposes a model to estimate the confining stress in axially loaded CFST short columns. Study findings reveal that the confinement effectiveness is influenced by variables such as compressive strength (CS) of the concrete, cross-sectional shape, and depth-to-wall thickness percentage. Additionally, the confinement is also significantly affected by the yield strain of steel εy/εc to the peak strain of unconfined concrete εc. A three-dimensional finite element model (FEM) was built for the simulation of the columns’ nonlinear behavior and was rigorously validated against experimental data. This model aids in the design and implementation of more efficient and resilient urban structures, supporting the principles of sustainable construction. The study underscores the importance of structural integrity in sustainable urban development and provides valuable insights for improving the design of green building materials.
Quantum Truncated Differential and Boomerang Attack
Authors: Xie Huiqin , Yang Li
Published: August 2024

In order to design quantum-safe block ciphers, it is crucial to investigate the application of quantum algorithms to cryptographic analysis tools. In this study, we use the Bernstein–Vazirani algorithm to enhance truncated differential cryptanalysis and boomerang cryptanalysis. We first propose a quantum algorithm for finding truncated differentials, then rigorously prove that the output truncated differentials must have high differential probability for the vast majority of keys in the key space. Subsequently, based on this algorithm, we design a quantum algorithm for finding boomerang distinguishers. The quantum circuits of the two proposed quantum algorithms contain only polynomial quantum gates and qubits. Compared with classical tools for searching truncated differentials or boomerang distinguishers, the proposed algorithms can maintain the polynomial complexity while fully considering the impact of S-boxes and key scheduling.
Results for Nonlinear-Prešić Contractions in Relational Metric Spaces
Authors: Khan Faizan Ahmad , Alnefaie Kholood , Eljaneid Nidal H. E. , Alshaban Esmail , Alatawi Adel , Alruwaytie Mohammed Zayed
Published: August 2024

This article aims to adopt some notions for mapping f:Xk→X, (where integer k is positive) and to prove the nonlinear-Prešić-type results on metric spaces employing a f-reflexive and locally finitely f-transitive binary relation (not necessarily partial order). The outcomes proven herewith are extended and generalized to several fixed point findings of literature. Lastly, examples are provided to support the applicability of these outcomes.
Comparative Analysis of Influenza Modeling Using Novel Fractional Operators with Real Data
Authors: Abdoon Mohamed A. , Alzahrani Abdulrahman B. M.
Published: August 2024

In this work, the efficacy of fractional models under Atangana–Baleanu–Caputo, Caputo–Fabrizio, and Caputo is compared to the performance of integer-order models in the forecasting of weekly influenza cases using data from the Kingdom of Saudi Arabia. The suggested fractional influenza model was effectively verified using fractional calculus. Our investigation uncovered the topic’s essential properties and deepened our understanding of disease progression. Furthermore, we analyzed the numerical scheme’s positivity, limitations, and symmetry. The fractional-order models demonstrated superior accuracy, producing smaller root mean square error (RMSE) and mean absolute error (MAE) than the classical model. The novelty of this work lies in introducing the Atangana–Baleanu–Caputo fractional model to influenza forecasting to incorporate memory of an epidemic, which leads to higher accuracy than traditional models. These models effectively captured the peak and drop of influenza cases. Based on these findings, it can be concluded that fractional-order models perform better than typical integer-order models when predicting influenza dynamics. These insights should illuminate the importance of fractional calculus in addressing epidemic threats.
Can Digital Transformation Restrain Corporate ESG Greenwashing—A Test Based on Internal and External Joint Perspectives
Authors: Xu Shiwei , Zhang Siyuan , Ren Yilei , Jiang Qijun , Wu Dan
Published: August 2024

Digital technology has the function of information governance, and digital transformation of enterprises may be the key way to identify and restrain ESG greenwashing. Based on the theory of digital empowerment, this study analyzes the influence and mechanism of digital transformation on restraining corporate green washing behavior from the perspective of internal and external factors. This study takes A-share listed companies in 2012–2022 as research samples and tests the effectiveness of digital transformation. Research has found that (1) digital transformation can significantly suppress corporate greenwashing behavior, and this conclusion still holds after a series of endogeneity and robustness tests. (2) In the context of high environmental awareness among executives, the inhibitory effect of digital transformation on corporate ESG greenwashing is more pronounced. (3) Mechanism analysis shows that digital transformation has inhibited the company’s greenwashing behavior by increasing the attention of investors. (4) Heterogeneity analysis shows that in state-owned enterprises, non-heavily polluting industries, high-tech industries, and enterprises located in the eastern region digital transformation has a more effective inhibitory effect on corporate greenwashing behavior. This study examines the impact of digital transformation on corporate ESG greenwashing, expands the research on the non-economic effects of digital transformation, and may provide empirical evidence for improving the quality of ESG information disclosure and sustainable development of enterprises.
Sildenafil Citrate Oral Suspension for Managing Erectile Dysfunction: A Systematic Review and a Consensus Report from the Italian Society of Andrology (SIA)
Authors: Miacola Carlos , Boeri Luca , Palumbo Fabrizio , Ceruti Carlo , Arcaniolo Davide , Bitelli Marco , Piubello Giorgio , Polito Chiara , Cai Tommaso , Palmieri Alessandro
Published: August 2024

The management of erectile dysfunction (ED) shows several gray zones, especially in terms of patients’ satisfaction and adherence to the treatment. The main and first-line treatment for ED is drug therapy, mainly phosphodiesterase-5 inhibitors (PDE5is), but adherence to the therapy is not optimal due to the low patient satisfaction reported in several cases. To address this issue, different administration routes and PDE5i pharmacological formulations have been introduced in the pharmacological market. The pharmaceutical market has recently seen the introduction of a novel sildenafil oral suspension. This device offers access to all therapeutic regimens in one device, releasing 0.5 mL of suspension containing 12.5 mg of sildenafil with each pulse. This formulation enables tailored dosing based on clinical requirements and the demands of ED patients. Here, we aim to give a brief narrative review of the management of this new oral suspension in order to provide readers with some suggestions to use in everyday clinical practice, on the basis of recent evidence, by using an easy and rapid-to-consult question and answer form. Also included are the conclusions of a board meeting of experienced andrologists regarding the most recent developments in this area.
Bridging a Gap in Coherence: The Coordination of Comprehension Processes When Viewing Visual Narratives
Authors: Smith Maverick E. , Hutson John P. , Newell Mi’Kayla , Wing-Paul Dimitri , McCarthy Kathryn S. , Loschky Lester C. , Magliano Joseph P.
Published: August 2024

Scene Perception and Event Comprehension Theory (SPECT) posits that understanding picture stories depends upon a coordination of two processes: (1) integrating new information into the current event model that is coherent with it (i.e., mapping) and (2) segmenting experiences into distinct event models (i.e., shifting). In two experiments, we investigated competing hypotheses regarding how viewers coordinate the mapping process of bridging inference generation and the shifting process of event segmentation by manipulating the presence/absence of Bridging Action pictures (i.e., creating coherence gaps) in wordless picture stories. The Computational Effort Hypothesis says that experiencing a coherence gap prompts event segmentation and the additional computational effort to generate bridging inferences. Thus, it predicted a positive relationship between event segmentation and explanations when Bridging Actions were absent. Alternatively, the Coherence Gap Resolution Hypothesis says that experiencing a coherence gap prompt generating a bridging inference to close the gap, which obviates segmentation. Thus, it predicted a negative relationship between event segmentation and the production of explanations. Replicating prior work, viewers were more likely to segment and generate explanations when Bridging Action pictures were absent than when they were present. Crucially, the relationship between explanations and segmentation was negative when Bridging Action pictures were absent, consistent with the Coherence Gap Resolution Hypothesis. Unexpectedly, the relationship was positive when Bridging Actions were present. The results are consistent with SPECT’s assumption that mapping and shifting processes are coordinated, but how they are coordinated depends upon the experience of a coherence gap.
Objective Refraction Status before and after Cycloplegia: From Childhood to Young Adulthood
Authors: Panke Karola , Jorova Megija
Published: August 2024

This study aimed to evaluate the clinical information revealed after cycloplegia and assess how age and non-cycloplegic refractive status influence the classification of types of refractive error, as well as the relationship between age and cycloplegia-induced changes in the power of refractive errors. We analysed the records of 472 non-population-based ophthalmology practice patients aged 3–28 years (mean ± SD: 9.1 ± 4.6). Cycloplegia was induced with one drop of cyclopentolate 1% in each eye, and eye refraction was measured 30 ± 5 min later using an objective autorefractometer. Cycloplegia induced a clinically significant (≥0.50 D) hyperopic shift in the spherical equivalent of 60.2% of participants and a myopic shift in 1%, resulting in a 34.1% increase in the frequency of participants with hyperopia, while the frequency of those with myopia and emmetropia decreased by 5.5% and 23.3%, respectively. The average spherical equivalent difference (mean ± SD) induced by cycloplegia was 0.72 ± 0.73 D, with the highest difference observed in the 3–5 years age group (1.18 ± 0.85 D). The differences in astigmatism power (p = 0.84) and astigmatism axis (p = 0.97) between non-cycloplegic and cycloplegic conditions were not statistically significant.
Characteristics and Leak Localization of Transient Flow in Gas-Containing Water Pipelines
Authors: Zhang Qiaoling , Zhang Zhen , Huang Biyun , Yu Ziyuan , Luo Xingqi , Yang Zhendong
Published: August 2024

When water pipelines undergo scenarios such as valve closure or leakage, they often operate in a gas-liquid two-phase flow state, which can easily cause abnormal pressure fluctuations, exacerbating the destructiveness of water hammer and affecting the safe operation of the pipeline. To study the problem of abnormal fluctuations in complex water pipelines, this paper establishes a transient flow model for gas-containing pipelines, considering unsteady friction, and solves it using the discrete gas cavity model (DGCM). It also studies the influence of factors such as valve closing time, initial flow rate, gas content rate, leakage location, and leakage amount on the end-of-valve pressure. Furthermore, it locates the leakage position using a genetic algorithm-backpropagation neural network (GA-BP neural network). The results show that increasing the valve closing time, increasing the gas content rate, decreasing the initial flow rate, and increasing the leakage amount all reduce the pressure peak inside the pipeline. The model constructed using the GA-BP neural network effectively predicts the leakage location with a mean absolute percentage error (MAPE) of 9.26%. The research results provide a reference for studies related to the safety protection of water conveyance projects.
A Summary of 25 Years of Research on Water Supplies of the Ancestral Pueblo People
Authors: Wright Kenneth R.
Published: August 2024

Six ancestral Pueblo community water supply sources were investigated by a team of engineers, scientists, archeologists, and other specialists affiliated with Wright Water Engineers, Inc. (WWE), and the Wright Paleohydrological Institute (WPI) from 1996 to 2021. The team members applied their various technical backgrounds and research methods to gain more insight into the water available to the ancestral Pueblo people living in the Four Corners area of the United States between 750 and 1280 CE, and how these indigenous people managed the water. Using lab analyses, field research, surveys, and analyses of sediment layers, the WWE/WPI team determined that four mounded areas discovered at Mesa Verde National Park had been ancestral Pueblo reservoirs. Through climate research, lab analyses, and investigations at these and two other sites, the team learned that water in this region was limited, and the community had to work diligently to harvest this water and maintain access to it. In the case of the four reservoirs studied, for example, the runoff used as water supply carried a high volume of sediment that required the water storage basins to be frequently dredged to maintain adequate capacity. These and other examples indicate that the ancestral Pueblo people were resourceful, hardworking, and organized water harvesters.