bluuebunny/crossref_metadata_2025 huggingface dataset:
Odden Ice Melt Linked to Labrador Sea Ice Expansions and the Great Salinity Anomalies of 1970–1995
Authors: Allan David , Allan Richard P.
Published: April 2024

In each of the last three decades of the 20th century there were unprecedented expansions of sea‐ice over the Labrador Sea basin and influxes of cold fresh water into the subpolar gyre (SPG) which have been described as the Great Salinity Anomalies (GSAs). Employing data for sea surface temperature, salinity, and sea‐ice cover, we propose that these events were downstream consequences of the expansion and subsequent melting of so‐called “Odden” ice formed over the deep basin of the Greenland‐Iceland‐Norway (GIN) Sea in the 1960s, 1970s, and 1980s and additional to the normal East Greenland shelf sea‐ice. We extend previous findings that Odden ice expansions were linked to winter episodes of high atmospheric pressure north of Greenland that directed freezing Arctic winds across the GIN Sea and may also have been associated with increased Arctic sea‐ice volume leading to enhanced ice export through Fram Strait. We show that cold water and ice derived from Odden melting in the summer passed through Denmark Strait and along the East Greenland shelf, and accumulated in the Labrador Sea, creating favorable conditions for winter ice formation during particularly cold years in southwest Greenland. Meltwater from Odden and Labrador Sea ice appeared to break out into the SPG in the fall of 1982 and 1984 respectively and this cold water represents the likely source of the 1982–1985 GSA. These findings further our understanding of the physical processes linking ice formation and melt with ocean circulation in this key component of the climate system.
Crustal carbonate build-up as a driver for Earth’s oxygenation
Authors: Alcott Lewis J. , Walton Craig , Planavsky Noah J. , Shorttle Oliver , Mills Benjamin J. W.
Published: April 2024

Oxygenation of Earth’s atmosphere and oceans played a pivotal role in the evolution of the surface environment and life. It is thought that the rise in oxygen over Earth’s history was driven by an increasing availability of the photosynthetic limiting nutrient phosphate combined with declining oxygen-consuming inputs from the mantle and crust. However, it has been difficult to assess whether these processes alone can explain Earth’s oxygenation history. Here we develop a theoretical framework for the long-term global oxygen, phosphorus and carbon cycles, incorporating potential trajectories for the emergence of continents, the degassing of mantle volatiles and the resulting increase in the size of the crustal carbonate reservoir. We find that we can adequately simulate the Earth’s oxygenation trajectory in both the atmosphere and oceans, alongside reasonable reconstructions of planetary temperature, atmospheric carbon dioxide concentration, phosphorus burial records and carbon isotope ratios. Importantly, this is only possible when we include the accumulation of carbonates in the crust, which permits ever-increasing carbon recycling rates through weathering and degassing. This carbonate build-up is a missing factor in models of Earth’s coupled climate, nutrient and oxygen evolution and is important for reconstructing Earth’s history and potential exoplanet biogeochemistry.
An integrated design concept evaluation model based on interval valued picture fuzzy set and improved GRP method
Authors: Ma Qing , Chen Zhe , Tan Yuhang , Wei Jianing
Published: April 2024

The objective of this research is to enhance the precision and efficiency of design concept assessments during the initial stages of new product creation. Design concept evaluation, which occurs at the end of the conceptual design phase, is a critical step in product development. The outcome of this evaluation significantly impacts the product's eventual success, as flawed design concepts are difficult to remedy in later stages. However, the evaluation of new product concepts is a procedure that encompasses elements of subjectivity and ambiguity. In order to deal with the problem, a novel decision-making method for choosing more logical new product concepts is introduced. Basically, the evaluation process is outlined in three main phases: the construction of evaluation index system for design concept alternatives, the calculation of weights for evaluation criteria and decision-makers, the selection of the best design concept alternatives. These stages are composed of a hybrid method based on kano model, multiplicative analytic hierarchy process (AHP) method, the entropy of IVPFS and improved grey relational projection (GRP) under interval-valued picture fuzzy set (IVPFS). The novel approach integrates the strength of interval-valued picture fuzzy number in handling vagueness, the advantage of multiplicative AHP and the merit of improved GRP method in modelling multi-criteria decision-making. In final, the effectiveness of the proposed model is validated through comparisons with other models. The potential applications of this study include but are not limited to product development, industrial design, and innovation management, providing decision-makers with a more accurate and comprehensive design concept evaluation tool.
Optimal timing for the first cystoscopic follow-up using time-to-treatment initiation analysis of oncologic outcomes in primary non-muscle invasive bladder cancer
Authors: Kim Jeong-Soo , Lee Jooyoung , Nguyen Tuan Thanh , Choi Se Young
Published: April 2024

Various guidelines recommend the first follow-up cystoscopy at 3 months; however, no data exist on the optimal timing for initial follow-up cystoscopy. We tried to provide evidence on the timing of the first cystoscopy after the initial transurethral resection of bladder tumor (TUR-BT) for patients with non-muscle invasive bladder cancer (NMIBC) using big data. This was a retrospective National Health Insurance Service database analysis. The following outcomes were considered: recurrence, progression, cancer-specific mortality, and all-cause mortality. Exposure was the time-to-treatment initiation (TTI), a continuous variable representing the time to the first cystoscopy from the first TUR-BT within 1 year. Additionally, we categorized TTI (TTIc) into five levels: < 2, 2–4, 4–6, 6–8, and 8–12 months. A landmark time of 1 year after the initial TUR-BT was described to address immortal-time bias. We identified the optimal time for the first cystoscopy using Cox regression models with and without restricted cubic splines (RCS) for TTI and TTIc, respectively. Among 26,660 patients, 16,880 (63.3%) underwent cystoscopy within 2–4 months. A U-shaped trend of the lowest risks at TTI was observed in the 2–4 months group for progression, cancer-specific mortality, and all-cause mortality. TTI within 0–2 months had a higher risk of progression (aHR 1.36; 95% confidence intervals [CI] 1.15–1.60; p < 0.001) and cancer-specific mortality (aHR 1.29; 95% CI 1.05–1.58; p = 0.010). Similarly, TTI within 8–12 months had a higher risk of progression (aHR 2.09; 95% CI 1.67–2.63; p < 0.001) and cancer-specific mortality (aHR 1.96; 95% CI 1.48–2.60; p < 0.001). Based on the RCS models, the risks of progression, cancer-specific mortality, and all-cause mortality were lowest at TTI of 4 months. The timing of the first cystoscopy follow-up was associated with oncologic prognosis. In our model, undergoing cystoscopy at 4 months has shown the best outcomes in clinical course. Therefore, patients who do not receive cystoscopy at approximately 4 months for any reason need more careful follow-up to predict a poor clinical course.
Intranasal administration of ceramide liposome suppresses allergic rhinitis by targeting CD300f in murine models
Authors: Ide Takuma , Izawa Kumi , Diono Wahyu , Kamei Anna , Ando Tomoaki , Kaitani Ayako , Maehara Akie , Yoshikawa Akihisa , Yamamoto Risa , Uchida Shino , Wang Hexing , Kojima Mayuki , Maeda Keiko , Nakano Nobuhiro , Nakamura Masahiro , Shimizu Toshiaki , Ogawa Hideoki , Okumura Ko , Matsumoto Fumihiko , Ikeda Katsuhisa , Goto Motonobu , Kitaura Jiro
Published: April 2024

Allergic rhinitis (AR) is caused by type I hypersensitivity reaction in the nasal tissues. The interaction between CD300f and its ligand ceramide suppresses immunoglobulin E (IgE)-mediated mast cell activation. However, whether CD300f inhibits the development of allergic rhinitis (AR) remains elusive. We aimed to investigate the roles of CD300f in the development of AR and the effectiveness of intranasal administration of ceramide liposomes on AR in murine models. We used ragweed pollen-induced AR models in mice. Notably, CD300f deficiency did not significantly influence the ragweed-specific IgE production, but increased the frequency of mast cell-dependent sneezing as well as the numbers of degranulated mast cells and eosinophils in the nasal tissues in our models. Similar results were also obtained for MCPT5-exprssing mast cell-specific loss of CD300f. Importantly, intranasal administration of ceramide liposomes reduced the frequency of sneezing as well as the numbers of degranulated mast cells and eosinophils in the nasal tissues in AR models. Thus, CD300f–ceramide interaction, predominantly in mast cells, alleviates the symptoms and progression of AR. Therefore, intranasal administration of ceramide liposomes may be a promising therapeutic approach against AR by targeting CD300f.
Calculation method of spherically expanding flame propagation radius to consider ignition electrode effects
Authors: Fan Likang , Fu Xin , Hu Mingjie , Yan Yan , Zuo Zinong , Han Zhiqiang , Fang Jia , Xiao Bang
Published: April 2024

Ignition electrodes have an immense impact on the accurate measurement of the flame propagation spherical radius. In this study, a flame-radius calculation method is designed. The method is able to eliminate effects due to the ignition electrodes. The adaptability and optimization effects of the proposed method are analyzed. The results show that the ratio of the angle is affected by the ignition electrodes under the Han II method. There are three obvious divisions include a high-value area, a sharp-variation area, and a mild-variation area. The ratio of the angle affected by the ignition electrodes is only applicable to the mild-variation region when the flame presents respective convex and concave distributions. For these distributions, the increment rate of the mean radius is 0.4–0.85% and 0.42–3.19%. The reduced rate of the standard deviation of the radius extraction value is 11.91–22.1% and 5.13–17.99%, and the reduced rate of the radius extraction value range is 20.32–39.51% and 0.32–8.09%.
A novel single-channel edge computing LoRa gateway for real-time confirmed messaging
Authors: Zhong Chen , Nie Xianzhong
Published: April 2024

LoRaWAN has become the technology of choice for increasing Internet of Things applications owing to its long range and low power consumption characteristics. However, in the uplink confirmed messaging cases, the entire retransmission could take several seconds, so it cannot be used in scenarios that require rapid confirmed messaging, such as emergency alerting and real-time controlling applications. Nevertheless, there has been limited work targeting this issue. This study presents a novel LoRaWAN gateway using edge computing to expedite the confirmed messaging process by generating the acknowledgment (ACK) locally, so that the confirmed messaging time can be significantly reduced. Additionally, the resource utilization of the network server can also be decreased due to the use of edge computing. We verified the effectiveness of our solution through extensive simulations and experiments. The confirmed messaging time between the end nodes and the gateway averaged 43 ms for a maximum of 2 retransmissions. With the adoption of edge computing on the gateway, the network server’s central processing unit (CPU), memory, and bandwidth peak utilization decrease from 53.51 to 39.46, 73.88 to 72.11%, and 4422.68 kbps to 3271.27 kbps, respectively. In addition, the network server’s system load decreases from 2.15 to 1.69, while the gateway cost is reduced by almost $$\$$$
$
38 compared to the benchmark products.
Gamma noise to non-invasively monitor nuclear research reactors
Authors: Pakari Oskari , Mager Tom , Frajtag Pavel , Pautz Andreas , Lamirand Vincent
Published: April 2024

Autonomous nuclear reactor monitoring is a key aspect of the International Atomic Energy Agency’s strategy to ensure nonproliferation treaty compliance. From the rise of small modular reactor technology, decentralized nuclear reactor fleets may strain the capacities of such monitoring and requires new approaches. We demonstrate the superior capabilities of a gamma detection system to monitor the criticality of a zero power nuclear reactor from beyond typical vessel boundaries, offering a powerful alternative to neutron-based systems by providing direct information on fission chain propagation. Using the case example of the research reactor CROCUS, we demonstrate how two bismuth germanate scintillators placed outside the reactor vessel can precisely observe reactor criticality using so called noise methods and provide core status information in seconds. Our results indicate a wide range of applications due to the newly gained geometric flexibility that could find use in fields beyond nuclear safety.
A decision support system based on recurrent neural networks to predict medication dosage for patients with Parkinson's disease
Authors: Riasi Atiye , Delrobaei Mehdi , Salari Mehri
Published: April 2024

Using deep learning has demonstrated significant potential in making informed decisions based on clinical evidence. In this study, we deal with optimizing medication and quantitatively present the role of deep learning in predicting the medication dosage for patients with Parkinson's disease (PD). The proposed method is based on recurrent neural networks (RNNs) and tries to predict the dosage of five critical medication types for PD, including levodopa, dopamine agonists, monoamine oxidase-B inhibitors, catechol-O-methyltransferase inhibitors, and amantadine. Recurrent neural networks have memory blocks that retain crucial information from previous patient visits. This feature is helpful for patients with PD, as the neurologist can refer to the patient's previous state and the prescribed medication to make informed decisions. We employed data from the Parkinson's Progression Markers Initiative. The dataset included information on the Unified Parkinson's Disease Rating Scale, Activities of Daily Living, Hoehn and Yahr scale, demographic details, and medication use logs for each patient. We evaluated several models, such as multi-layer perceptron (MLP), Simple-RNN, long short-term memory (LSTM), and gated recurrent units (GRU). Our analysis found that recurrent neural networks (LSTM and GRU) performed the best. More specifically, when using LSTM, we were able to predict levodopa and dopamine agonist dosage with a mean squared error of 0.009 and 0.003, mean absolute error of 0.062 and 0.030, root mean square error of 0.099 and 0.053, and R-squared of 0.514 and 0.711, respectively.
Self-charging aqueous hydrogen gas batteries
Authors: Zhu Zhengxin , Xie Zehui , Wang Weiping , Liu Zaichun , Wang Mingming , Meng Yahan , Peng Qia , Liu Shuang , Jiang Taoli , Zhang Kai , Liu Hongxu , Ma Yirui , Chen Wei
Published: April 2024

Self-charging aqueous hydrogen gas batteries with three different self-charging modes are developed, i.e., chemically self-charging, short-circuit induced self-charging, and low-energy-input triggered quasi-self-charging.
Evaluation of CO2 Adsorption Capacity of Crystalline, Microporous Zeolite-Y Structure
Authors: Ahuja Ravi Shanker , Bhavani A. Geetha , Wani Tanveer A. , Prasad Tara , Prabhakar B. , Aslam Mohammad , Shitu Anas , Umair Mohd
Published: April 2024

CO2 gas was selected for evaluation of adsorption capacity over zeolite-Y. The CO2 gas was intended to choose to be adsorbed over zeolites like zeolite (13X, NaX, BaX, FAU-X and Y), which is the main cause of greenhouse effect and global warming. Na form of zeolite-Y with different Si/Al ratios (5, 30, 100, 200) are treated with HCl to increases the porosity, surface area and adsorption capacities of`CO2. Treating with HCl doesn’t affect the basic structure of zeolite and increases the porosity and adsorption capacity. The treated zeolite-Y with HCl is tested for characterization with XRD and BET for crystallinity and pore volume and BET surface area and found the result are improved promisingly
Advanced Materials for High-Efficiency Solar Cells: A Comprehensive Exploration in Material Science
Authors: Kumar Deepak , Kumar Himanshu , Ingole Sunil B. , Kumari Soni , Gori Yatika , Srivastava Arun Pratap , Khan Akhilesh Kumar
Published: April 2024

This research presents a comprehensive investigation of progressed materials for high-efficiency sun-oriented cells, centring on perovskite, natural, and quantum-dot innovations. Through an efficient strategy enveloping fabric determination, amalgamation, characterization, device creation, and execution examination, the study accomplished an eminent proficiency of 22% in perovskite sun-based cells, beating natural (9%) and quantum dot-based cells (12%). Stability testing uncovered perovskite cells maintained 90% of their introductory productivity after 1000 hours, outperforming the comparative decay watched in natural (75%) and quantum dot-based cells (80%). Comparative investigations with related works underscored the centrality of our discoveries, counting experiences into exciton elements, feasible plan hones, and imaginative approaches to adaptable solar cell models.
Hybrid Energy Microgrids: A Comparative Study of Optimization Techniques
Authors: Nemova Darya Viktorovna , Rao D. Siva Naga Malleswara , Singh Rajat , Bhardwaj Rishabh , Sharma Sorabh
Published: April 2024

This study examines the relative effectiveness of Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Linear Programming (LP) in optimizing hybrid energy microgrids. Drawing upon empirical data derived from the study, the research explores many facets, including economic efficacy, environmental viability, and microgrid robustness. The use of GA showcases a significant 10% decrease in overall system expenses, highlighting its efficacy in augmenting economic feasibility. PSO diligently tracks, attaining an 8% decrease, while SA and LP make significant contributions but provide somewhat lesser cost reductions at 7% and 6%, correspondingly. Within the domain of renewable energy integration, GA and PSO have emerged as frontrunners, with remarkable advancements of 12% and 10%, respectively. SA and LP provide commendable contributions, demonstrating their effectiveness in optimizing the usage of renewable energy sources inside the microgrid, as seen by their respective increases of 8% and 7%. The environmental factor, as quantified by the decrease of carbon emissions, highlights the commendable efficacy of GA and PSO, resulting in significant reductions of 15% and 12% respectively. SA and LP provide praiseworthy environmental efforts, achieving reductions of 10% and 8% respectively. The resilience index highlights the strength of GA and PSO in assessing the resilience of the microgrid, with GA showing an increase of 0.05 and PSO showing an increase of 0.04. SA and LP make a significant contribution, with increments of 0.03 and 0.02, underscoring the potential of evolutionary and swarm-based methodologies to bolster the microgrid’s resilience against disturbances. Scenario analysis effectively brings unpredictability into the operational environment of the microgrid, continually showcasing the remarkable flexibility of GA (Genetic Algorithm) and PSO (Particle Swarm Optimization) over a wide range of situations. SA and LP demonstrate consistent efficacy but with somewhat reduced flexibility. Statistical evaluations provide compelling evidence confirming the exceptional efficacy of GA and PSO in improving microgrid metrics. Ultimately, this research provides valuable perspectives on the intricate trade-offs between various optimization techniques, empowering decision-makers to choose strategies that align with specific microgrid objectives. Moreover, it contributes to the wider discussion on resilient, sustainable, and economically feasible energy infrastructures.
Intelligent Control of Electric Vehicle Drives using Swarm Robotics
Authors: Usanova Kseniia Iurevna , Kumar A. VInay , Ikram Mohsin , Dev Anoop , Sarpal Sumeet Singh
Published: April 2024

This study investigates the incorporation of swarm robotics into the control mechanism of electric vehicles (EVs), introducing an innovative intelligent control framework that utilizes the concepts of decentralized decision-making. The research entails a methodical inquiry that encompasses the design of system architecture, the creation of a model for swarm robotics, the modeling of electric vehicle drive, the integration of swarm robotics with EV control, the development of algorithms for intelligent control, and the execution of real-world tests. The fleet of electric cars, propelled by a collective of independent robotic entities, displayed remarkable flexibility in adjusting to fluctuating surroundings. Findings demonstrated disparities in operating duration, distance traversed, mean speed, and energy expenditure during several iterations, highlighting the system’s adeptness in promptly reacting to instantaneous inputs. Significantly, the swarm-propelled electric cars successfully attained varied operating durations, showcasing the system’s adaptability in accommodating environmental dynamics. The swarm-driven system demonstrated its navigation effectiveness by effectively covering various distances, highlighting its versatility and extensive coverage capabilities. The system’s ability to effectively balance energy economy and performance is shown by the collective regulation of average velocity. The energy consumption study demonstrated the system’s efficacy in optimizing energy use, with certain experiments showing significant savings. Percentage change studies have yielded valuable insights into the comparative enhancements or difficulties seen in each indicator, so illustrating the influence of decentralized decision-making on operational results. This study is a valuable contribution to the ever-changing field of intelligent transportation systems, providing insight into the immense potential of swarm-driven electric cars to completely transform sustainable and adaptable transportation. The results highlight the remarkable flexibility and optimization skills of swarm robotics in the management of electric vehicles, paving the way for future advancements in the quest for intelligent, energyefficient, and dynamically responsive transportation solutions.
Particle Swarm Optimization for Sizing of Solar-Wind Hybrid Microgrids
Authors: Vafaeva Khristina Maksudovna , Raju V. Vijayarama , Ballabh Jayanti , Sharma Divya , Rathour Abhinav , Rajoria Yogendra Kumar
Published: April 2024

This study investigates the optimization of the size of a solar-wind hybrid microgrid using Particle Swarm Optimization (PSO) to improve energy production efficiency, economic feasibility, and overall sustainability. By using past solar and wind resource data, load demand profiles, and system component specifications, the PSO algorithm effectively maximized the capabilities of solar panels and wind turbines. The findings indicate a significant rise in daily energy production, with a 15% enhancement in solar panel capability and a 12% boost in wind turbine capability. The increased energy production plays a crucial role in dealing with the natural irregularity of renewable resources, hence enhancing the resilience and self-reliance of the microgrid. The economic calculations demonstrate significant improvements in the economic feasibility of the microgrid designs. The Levelized Cost of Energy (LCOE) undergoes a significant 10% decrease, suggesting a more economically efficient energy generation. Moreover, the payback time for the original expenditure is reduced by 15%, indicating faster returns on investment. The economic improvements highlight the practical advantages of using PSO for microgrid size, in line with the goal of creating sustainable energy solutions while minimizing economic costs. The improved performance of Particle Swarm Optimization (PSO) is shown by a thorough comparison study with other optimization approaches, such as Genetic Algorithms (GA) and Simulated Annealing (SA). The superior convergence rate of PSO, together with a 15% enhancement in solution quality relative to GA and SA, underscores the efficiency and efficacy of PSO in traversing the complex solution space associated with microgrid size. PSO’s comparative advantage makes it an effective tool for tackling the intricacies of integrating renewable energy, highlighting its potential for extensive use in microgrid design and optimization. The sensitivity evaluations demonstrate that the solutions optimized by the PSO are resilient even when important parameters vary, thereby highlighting the stability and dependability of the approach. In addition to technical and economic factors, the study evaluates the environmental consequences and social aspects of the optimum microgrid designs. The land use efficiency has seen a 10% enhancement, demonstrating the optimum application of area for renewable energy infrastructure. In addition, there is a 7% improvement in community approval, which demonstrates the algorithm’s ability to effectively handle social aspects and promote a comprehensive and socially acceptable approach to renewable energy projects.
Research on Big Data and Urban Agglomeration Development in High-Speed Railway
Authors: Lei Xiaowei , Zhao Xiaoyu , Li Rongfeng , Zhao Kangli
Published: April 2024

The introduction of high-speed railway has significantly enhanced transportation services for cities along its route, offering greater convenience to passengers and commuters. Through analysis of passenger flow data and economic data from cities along the high-speed railway line, we find the apparent siphon effect caused by the introduction of high-speed railway on larger cities. However, for medium and small cities, high-speed railway further weakens their attractiveness, leading to capital and labour outflow. This article provides an analysis of the impact of high-speed railway on cities along its route, utilizing passenger big data and investment data. It also offers recommendations for small and medium-sized cities to optimize their tourism resources and develop unique industries, aiming to mitigate the economic risks associated with the introduction of high-speed railway.
Research on the sustainability assessment of sponge cities
Authors: Jiang Gang , Zuo Lanlan , Zhang Junxue
Published: April 2024

Faced with abnormal global climate change, sponge cities are an effective response. The design of sponge cities can enhance the sustainability of the entire city, although specific quantitative effects are yet to be determined. According to the emergy theory, this article conducts a sustainability study on selected sponge city facilities in Zhenjiang City. The research results show a significant improvement in the sustainability of the study objects. Using the sustainable parameter of emergy as an evaluation criterion, there is a noticeable improvement from an initial value of 0.07 to 1.21 after the implementation of sponge measures. Additionally, the overall project design has significantly improved the sustainability of the design.
Research on Construction of Sponge Airport in China
Authors: Zhang Lingling , Zhang Li , Sun Shuaiyi
Published: April 2024

This article is an introduction to the practices of sponge projects for airports in China. The objective of this paper is to point out the main problems existing in the construction of sponge airports and seek ways to improve the storage volume of airports. Data investigation, technical analysis, and engineering cases are used to conduct the research. The result shows that the main problem in the construction of sponge airport is the lack of effective sponge measures in the airfield area. Addressing the challenges and implementing effective sponge measures in airfield area is feasible and crucial for advancing sponge city concepts in airport construction. The elevation of pavement, particularly in creating sponge storage in unpaved areas, and using a drainage layer for the pavement and the shoulder stands out as a successful approach and should be considered in the design of airfield area projects.
Accessibility Cluster Analysis of Subway Station Based on Spatial Big Data——A Case Study of Dongcheng and Xicheng Districts in Beijing City
Authors: Zhao Lingmei , Wang Zhenyang , Cao Mingliang
Published: April 2024

Subway is an important means of daily commuting in city life due to its punctuality and speed. Residential accessibility around subway station reflects the transportation convenience and connectivity between the necessary facilities which affecting residents’ daily lives. Therefore, this study research on station accessibility factors by improving the walk-score model and establishing a multi-feature integrated transportation model that comprehensively considers the age difference based on spatial big data. Quantitative analysis was conducted on facility and station accessibility. Based on clustering algorithm considering three age groups, subway stations were classified into four types: mature, well-equipped, nurturing, and deficient. Using friendly characteristics, subway stations were categorized into three dominant age types. By integrating the analysis of accessibility, spatial layout, clustering differences and age-friendly characteristics, suggestions were proposed to improve station connectivity and supporting facility development.
Research on the integration strategy of the protection and utilization of Qingzhou Ancient City from the perspective of cultural capital
Authors: Lai Yujing , Xia Tian , He Minai
Published: April 2024

With the acceleration of urban modernization, the protection and utilization of historical and cultural heritage is facing unprecedented challenges. How to realize the integrated development of the protection and utilization of the ancient city has become a key issue for the sustainable development of a city.As a famous historical and cultural city in China, Qingzhou ancient City bears rich historical information, accumulates profound cultural deposits, and presents distinct regional cultural characteristics.This paper expounds the general situation of cultural resources of Qingzhou ancient city, analyzes the basic problems in the process of protection and utilization of Qingzhou ancient city, and puts forward the ideas, strategies and specific measures of the integration of protection and utilization of the ancient city from the perspective of cultural capital.It provides a new concept, correct thinking and scientific technical method for the protection and utilization of qingzhou ancient city, and has important guiding significance for promoting the sustainable development of qingzhou famous historical and cultural city.
Study on the Performance of High Content RAP Recycled Mixture
Authors: He Jia , Zhu Xiaodong , Xue Danxuan , Zhang Xingyu
Published: April 2024

The performance of RAP material directly affects the engineering effect of pavement recycling technology. In this study, the performance of high content RAP recycled mixture was analyzed. Through the extraction and screening of RAP materials, it was found that the viscosity of old asphalt increased significantly, the softening point decreased, and the coarse aggregate was refined seriously. The high, low temperature and water stability of high content plant mixed recycled ATB-25 mixture were studied through laboratory tests with different regenerants. The results showed that, compared with the control group, the dynamic stability, freeze-thaw splitting strength ratio and the maximum flexural tensile strain increase rate were: Type A regenerant: 27.48%, 29.45%, 35.71%; Type B regenerant: 16.76%, 21.28%, 38.96%. Comparing the effects of the two kinds of regenerants, after adding Type A regenerant, the mixture has the best high-temperature and water stability, and Type B regenerant is better than Type A regenerant in improving the low-temperature performance. The high, low temperature and water stability of the mixture after adding the regenerant can meet the specification requirements.
Analysis of carbon emission reduction contribution during usage phase of new energy vehicles based on big data: A case study of Tianjin
Authors: Xia Lina , Li Puchao , Ren Huanhuan , Lu Hao , Zhao Zhenjia
Published: April 2024

Countries around the world are paying increasing attention to greenhouse gas emissions reduction. Under the guidance of “dual carbon” strategy in China, the development of the new energy vehicle industry as an important means of carbon emission reduction in the transportation sector has become a trend. At the same time, the Tianjin New Energy Vehicle Monitoring Platform has recorded real-time big data on the operation of new energy vehicles since 2017, covering vehicle ownership and mileage data, which can support the calculation of carbon emission reduction contributions during usage stage of new energy vehicles. Based on the big data of the platform, this article calculates the carbon emission reduction contribution of new energy vehicles in Tianjin during usage stage, and analyzes the carbon emission reduction contributions under different technology types, vehicle types, vehicle classes, and usage scenarios. Moreover, an analysis was conducted on the top ten enterprises in Tianjin that contribute to carbon emission reduction. The reasons for the carbon emission reduction contributions of different enterprises are slightly different, mainly due to high ownership or actual driving mileage.
Thermal Response Characteristics of Concrete-Filled Steel Tube Columns with Flame Encapsulation Thickness
Authors: Yang Can , Zhang Zhaoqiang
Published: April 2024

In order to elucidate the influence of flame encapsulation thickness on the thermal response characteristics of concrete-filled steel tube columns in a fire environment, a study was conducted focusing on the primary control mechanism of heat radiation power from fire——the thickness of fire encapsulation. The thermal resistance effect at the interface between the steel tube and concrete, as well as the temperature rise characteristics of the flame, were comprehensively considered. A calculation method was established for the thermal response characteristics of concrete-filled steel tube columns under different flame encapsulation thickness conditions, providing support for the simulation of thermal response and temperature rise prediction of concrete-filled steel tube columns in fires. The results indicate that the flame emissivity and radiant heat power increase with the increase of flame encapsulation thickness. As the flame encapsulation thickness gradually increases, the growth trend of flame radiant power slows down. When the flame encapsulation thickness L < 1 m, the temperature rise rate of the concrete-filled steel tube column is significant. When the flame encapsulation thickness L ≥ 1 m, the temperature rise rate of the concrete-filled steel tube column tends towards a constant value.
Analysis and Optimization of the Causes of Cracks in the Pavement of Highway and Railway Intersections
Authors: Huang Xingqi , Liu Dashun , Lian Dong , Liu Fengmao
Published: April 2024

Firstly, an in-depth analysis is conducted on the principle of crack formation in the pavement panel of highway and railway level crossings and the reasons for cracks under load. Then, based on the characteristics of crack formation in the pavement panel, structural optimization design is carried out on the pavement panel, and finite element analysis is conducted on the optimized structure to verify whether the optimization is reasonable, reduce the occurrence of cracks in the pavement panel of highway and railway level crossings, and extend the service life of the pavement panel.
A Model Based Method for Capacity Allocation in the Bus Transportation Industry
Authors: Jiang Senhao , Zhao Hongxue , Zhou Wei , Li Xiao , Yu Haitao
Published: April 2024

With the implementation of the dual carbon goal, electric vehicles have been rapidly promoted. However, in extreme conditions such as natural disasters, especially when power supply is insufficient, the widespread use of electric buses and the delisting of fuel powered buses may lead to insufficient transportation capacity in the region. This article establishes a calculation model for the allocation of buses of various power types to address this issue. Based on population size, the paper comprehensively considers the charging time and range of pure electric buses during use, and calculates the transportation capacity of pure electric buses and fuel buses respectively. Then, based on the rule of prioritizing the use of electric vehicles for transportation, when the capacity of electric buses is insufficient, fuel powered buses are used for replenishment. Calculate the minimum number of fuel buses required to ensure the basic transportation capacity for personnel transfer.
Sustainable future for icing tankers in civil aviation certification
Authors: Wu Yunpeng , Ni Jiafeng , Wang Xueliang , Dai Wei
Published: April 2024

This document summarizes the regulations of civil aviation in terms of icing certifications, and how they affect the flight tests process. To certify a fully new designed aircraft or eVTOLs, chasing the natural icing conditions defined in the regulations is time consuming and pricey, which could be a burden for startup smart transportation companies. Over the years, icing tankers have been built and simulated icing conditions to verify and validate the wind tunnel and computational results. With nozzle arrays controlled by computers, icing tankers simulating and substituting natural icing conditions flight will be a potential way to minimize the certification process.
Study on mechanism of blocked water transport of the navigation and hydropower projects of Guizhou Province
Authors: Liu Zhaocun , Xiao Yong , Fan Weijia , Fu Xvhui
Published: April 2024

On the basis of comprehensive investigations of reasons to result in different efficiency not only in civil but also in abroad countries, combined with specific situation of navigation and hydropower projects of Guizhou Province, the mechanism corresponding to the organization is established roughly via the following measures: to follow the thinking and requirements of CMM and ISO system and to apply them to daily management; the factors to cause problem of blocked water transport of the navigation and hydropower projects to be explored, the reasons were studied to find out the methods which can finally overcome these difficulties; to analysis the measures which can improve the management efficiency and to study the reasons which hind behind them. On the conditions to start the whole equipment and scientific method possessed by the navigation and hydropower projects of Guizhou Province, the scheme of mechanism system suitable to navigation and hydropower projects of Guizhou Province is roughly developed, which has the quantitative, traceable, and continuous improvement properties. The studied results may be valuable to other similar mountain river cases in other places.
A Tripartite Evolutionary Game Model for Carbon Reduction Decisions in Shipping Industry
Authors: Zhang Suyong , Feng Chuwei
Published: April 2024

Considering the carbon trading mechanism and the preference of cargo side for low carbon shipping, this paper constructs an evolutionary game model of three parties, namely, government, shipping enterprises and cargo side, and analyzes the evolutionary process of the choice of carbon emission reduction strategies of the three parties. Numerical analysis and sensitivity analysis are conducted based on the practical experience of Shanghai carbon trading pilot. The results show that, (1) Under the current conditions, the three-party strategy will eventually evolve into {the government actively supervises, shipping enterprises negatively reduce emission, and the cargo side actively responds}. (2) The stronger government intervention, the increase of carbon price can guide shipping enterprises to actively reduce emissions. (3) The idea of decarbonization driven by the demand side should be paid attention to, which can help bring together all parties to reduce emissions.
Energy Efficiency Analysis and Research of Pure Electric Vehicles under Actual Working Conditions
Authors: Liang Xiaoliang
Published: April 2024

Pure electric vehicles are a hot topic in today’s social development. From beginning to end, the energy density of power batteries in pure electric vehicles is generally low, resulting in short range, inaccurate range estimation, and driver anxiety. This is also one of the reasons that hinder the promotion of pure electric vehicles. This article discusses the energy consumption of pure electric vehicles based on actual road tests. By comparing the battery energy efficiency of various roads (including urban roads, suburban roads, and highways) using electric vehicles from Guangzhou to Qingyuan, the energy consumption patterns of pure electric vehicles are analyzed. Experiments have shown that continuously improving the energy density of power batteries is the key technology to solve the problem of insufficient range for electric vehicles. Based on the existing power battery technology, this study investigates the relationship between energy consumption and various factors affecting electric vehicles, which can provide better reference for drivers to predict energy consumption and range.
Dynamic pricing analysis of railway freight transport under different carbon emission penalties
Authors: Li Taiwei , Wu Xu
Published: April 2024

in order to better promote the transportation industry to reduce carbon emissions and improve the competitiveness of railway freight in the whole freight market, to achieve the “double carbon” strategy and promote the “transit rail”. In this paper, considering the dynamic pricing of freight volume and freight price, a two-layer programming model is established under the minimum social total cost of railway and road. The upper level considers the income of railway freight, and the lower level considers the total social cost of freight transportation, so as to realize the increase of railway freight revenue and the decrease of the general total expenditure paid by freight owners. Considering the transportation of bulk commodity freight from shandong to sichuan, it is concluded that the railway freight market has a good development prospect under the consideration of the total social expenditure such as carbon emission. Under the carbon emission charge, the appropriate increase of railway freight rate will not lead to the reduction of railway freight volume. As rail freight becomes more competitive under increasingly stringent carbon emissions penalties, the volume of rail freight will continue to rise even after appropriate increases in rail freight fees. At this point, rail freight companies can transport more goods and gain higher returns, slightly increasing the overall cost borne by shippers in a broad sense, and helping to reduce carbon emissions in the process of freight transport.
Pricing of fresh agricultural product supply chain under transportation interruption
Authors: Wang Jie
Published: April 2024

With the trend of global economic integration and the improvement of logistics, transportation, and storage technology, regional restrictions on the sales of fresh agricultural products have gradually decreased. At the same time, due to traffic accidents, natural disasters, and other factors, the possibility of interruption in the transportation supply chain of fresh agricultural products has been increased. This article examines a three-level fresh supply chain with the possibility of transportation interruption. The Stackelberg method is used to solve the equilibrium solution, and the results under centralized and decentralized models are analyzed. We found that the increase in the probability and duration of transportation interruptions actually leads to less investment by distributors in cold chain services, resulting in increased profits for retailers and decreased profits for distributors and manufacturers.
Modeling method for optimal scheduling of Park comprehensive energy source load storage and consumption considering customer portrait
Authors: Li Yang , Liao Jin , Yu Zongchao
Published: April 2024

Aiming at the problems of energy consumption optimization of park integrated energy source load storage system in power grid dispatching, a modeling method of park integrated energy consumption optimization dispatching considering user portrait is proposed. Firstly, an improved k-means portrait method is proposed for park users; Secondly, on the premise of considering the constraints of equipment operation in the park, cluster users in the park, and establish an energy consumption optimization scheduling model with the objective function of user satisfaction, net income of wind power consumption and equipment operation cost; Finally, SAPSO algorithm and fuzzy theory are used for decision-making. The example simulation shows that the proposed model is correct and effective, which is more precise and objective than the traditional model.
Evaluation of the Competitiveness of China’s Coastal Container Ports In the Context of the Maritime Silk Road
Authors: Lv Jing , Guo Jianping
Published: April 2024

A scientific and reasonable assessment of port competitiveness will facilitate a comprehensive understanding of the current development of Chinese container ports along the Maritime Silk Road. Considering the network attributes of ports and the repetitive information among indicators, this paper proposes a novel port competitiveness evaluation and grading model based on entropy-improved catastrophe progression method. On the basis of a directed and weighted shipping network, the “dominance” indicator is innovatively introduced. The evaluation system including land-oriented competitiveness, sea-oriented competitiveness, hinterland support capacity and production and operation capacity provides a comprehensive assessment of port competitiveness. It is found that: land-oriented and sea-oriented competitiveness have the greatest influence on port competitiveness. A pattern of “One core, two wings, and four ports’ coordination” has been developed among coastal ports in China. The competition among ports in the Bohai Rim region is fierce, and production and operation ability of ports in the southeast coast needs to be strengthened. Fuzhou port and Rizhao port have high hinterland support and high development potential. The results of this paper can provide decision support for the development and upgrading of China’s coastal ports under the Maritime Silk Road initiative.
The Impact of Transportation Factors on Quality of Life: Insights from 230 Cities Worldwide
Authors: Ni Bai
Published: April 2024

High quality of life has always been the goal of people, and in recent years, due to the accelera-tion of urbanization, people in the city are increasingly demanding quality of life.Traffic Index, Time Index (in minutes), Time-Experience (Time Exp. ) Index, Inefficiency Index, CO2 emission index as traffic factors related to people’s life affect the quality of life to a certain extent. index are closely related to people’s life, and to a certain extent affect people’s quality of life. In this paper, we will explore the influence of these five urban transportation factors on people’s quality of life in 2023, and find out the relationship between them with the help of SPSS software using descriptive statistics and correlation calculation. The aim is to improve urban transportation through this influence relationship, so as to improve people’s quality of life.