bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Assessment of Geological Landslide Hazards Using D-InSAR and Remote Sensing
Authors: Zhong Jiaxin , Li Qiaomin , Zhang Jia , Luo Pingping , Zhu Wei
Published: January 2024

Landslide geological disasters, occurring globally, often result in significant loss of life and extensive economic damage. In recent years, the severity of these disasters has increased, likely due to the frequent occurrence of extreme rainstorms associated with global warming. This escalating trend emphasizes the urgent need for a simple and efficient method to identify hidden dangers related to landslide geological disasters. Areas experiencing seasonal heavy rainfall are particularly susceptible to such disasters, posing a serious threat to the lives and property of local residents. In response to the challenging characteristics of landslide geological hazards, such as their strong concealment and the high vegetation coverage in the Liupan Mountain area of the Loess Plateau, this study focuses on the integrated remote sensing identification and research of hidden landslide dangers in Longde County. The methodology combines differential interferometric synthetic aperture radar technology (D-InSAR) and high-resolution optical remote sensing. Surface deformation information of Longde County was obtained by analyzing 85 Sentinel-1A data from 2019 to mid-2020 using Stacking-InSAR, in conjunction with high-resolution optical remote sensing image data from GF-2 in 2019. Furthermore, the study conducted integrated remote sensing identification and field verification of landslide hazards throughout the entire county. This involved interpreting the shape and deformation marks of landslide hazards, identifying the disaster-bearing bodies, and expertly interpreting the environmental factors contributing to the hazards. As a result, 47 suspected landslide hazards and 21 field investigation points were identified, with 16 hazards verified with an accuracy of 76.19%. This outcome directly confirms the applicability and accuracy of the integrated remote sensing identification technology in the study area. The research results presented in this paper provide an effective scientific and theoretical basis for the monitoring and treatment of landslide geological disasters in the future stages. They also play a pivotal role in the prevention of such disasters.
Convolutional Neural Network-Based Method for Agriculture Plot Segmentation in Remote Sensing Images
Authors: Qi Liang , Zuo Danfeng , Wang Yirong , Tao Ye , Tang Runkang , Shi Jiayu , Gong Jiajun , Li Bangyu
Published: January 2024

Accurate delineation of individual agricultural plots, the foundational units for agriculture-based activities, is crucial for effective government oversight of agricultural productivity and land utilization. To improve the accuracy of plot segmentation in high-resolution remote sensing images, the paper collects GF-2 satellite remote sensing images, uses ArcGIS10.3.1 software to establish datasets, and builds UNet, SegNet, DeeplabV3+, and TransUNet neural network frameworks, respectively, for experimental analysis. Then, the TransUNet network with the best segmentation effects is optimized in both the residual module and the skip connection to further improve its performance for plot segmentation in high-resolution remote sensing images. This article introduces Deformable ConvNets in the residual module to improve the original ResNet50 feature extraction network and combines the convolutional block attention module (CBAM) at the skip connection to calculate and improve the skip connection steps. Experimental results indicate that the optimized remote sensing plot segmentation algorithm based on the TransUNet network achieves an Accuracy of 86.02%, a Recall of 83.32%, an F1-score of 84.67%, and an Intersection over Union (IOU) of 86.90%. Compared to the original TransUNet network for remote sensing land parcel segmentation, whose F1-S is 81.94% and whose IoU is 69.41%, the optimized TransUNet network has significantly improved the performance of remote sensing land parcel segmentation, which verifies the effectiveness and reliability of the plot segmentation algorithm.
The Prediction of Cross-Regional Landslide Susceptibility Based on Pixel Transfer Learning
Authors: Wang Xiao , Wang Di , Li Xinyue , Zhang Mengmeng , Cheng Sizhi , Li Shaoda , Dong Jianhui , Xu Luting , Sun Tiegang , Li Weile , Ran Peilian , Liu Liang , Wang Baojie , Zhao Ling , Huang Xinyi
Published: January 2024

Considering the great time and labor consumption involved in conventional hazard assessment methods in compiling landslide inventory, the construction of a transferable landslide susceptibility prediction model is crucial. This study employs UAV images as data sources to interpret the typical alpine valley area of Beichuan County. Eight environmental factors including a digital elevation model (DEM) are extracted to establish a pixel-wise dataset, along with interpreted landslide data. Two landslide susceptibility models were built, each with a deep neural network (DNN) and a support vector machine (SVM) as the learner, and the DNN model was determined to have the best pre-training performance (accuracy = 88.6%, precision = 91.3%, recall = 94.8%, specificity = 87.8%, F1-score = 93.0%, and area under curve = 0.943), with higher parameters in comparison to the SVM model (accuracy = 77.1%, precision = 80.9%, recall = 87.8%, specificity = 73.9%, F1-score = 84.2%, and area under curve = 0.878). The susceptibility model of Beichuan County is then transferred to Mao County (which has no available dataset) to realize cross-regional landslide susceptibility prediction. The results suggest that the model predictions accomplish susceptibility zoning principles and that the DNN model can more precisely distinguish between high and very-high susceptibility areas in relation to the SVM model.
Application of Quasi-Continuous Waveform Coding in Spaceborne Synthetic Aperture Radar
Authors: Shao Weizheng , Lai Tao , Huang Haifeng , Wang Qingsong , Shen Peng
Published: January 2024

Quasi-continuous wave radar is an attempt to give consideration to the performance of pulse and continuous wave radar signals. However, it also has the shortcomings of both. This paper aims to add a new quasi-continuous-wave coding method to the spaceborne synthetic aperture radar (SAR) system. The technology of improving spaceborne SAR imaging performance by coding quasi-continuous-wave pulses is studied, and some shortcomings of this algorithm are improved. Firstly, the application of quasi-continuous-wave radar in the SAR system is studied, and the coding and reconstruction scheme is provided so that this technology can be successfully applied in spaceborne SAR. Secondly, the effects of different quasi-continuous-wave coding methods on SAR imaging performance are evaluated, including signal-to-noise ratio, resolution, and integration time. Then, several coding schemes are given, and the characteristic changes of the signal after quasi-continuous-wave coding are analyzed. The transmit–receive conversion loss function and azimuth Doppler ambiguity function of the design scheme are analyzed, which proves the advantages of the scheme. Finally, we design the hardware implementation scheme and carry out the practical test.
Rapid Determination of Positive–Negative Bacterial Infection Based on Micro-Hyperspectral Technology
Authors: Du Jian , Tao Chenglong , Qi Meijie , Hu Bingliang , Zhang Zhoufeng
Published: January 2024

To meet the demand for rapid bacterial detection in clinical practice, this study proposed a joint determination model based on spectral database matching combined with a deep learning model for the determination of positive–negative bacterial infection in directly smeared urine samples. Based on a dataset of 8124 urine samples, a standard hyperspectral database of common bacteria and impurities was established. This database, combined with an automated single-target extraction, was used to perform spectral matching for single bacterial targets in directly smeared data. To address the multi-scale features and the need for the rapid analysis of directly smeared data, a multi-scale buffered convolutional neural network, MBNet, was introduced, which included three convolutional combination units and four buffer units to extract the spectral features of directly smeared data from different dimensions. The focus was on studying the differences in spectral features between positive and negative bacterial infection, as well as the temporal correlation between positive–negative determination and short-term cultivation. The experimental results demonstrate that the joint determination model achieved an accuracy of 97.29%, a Positive Predictive Value (PPV) of 97.17%, and a Negative Predictive Value (NPV) of 97.60% in the directly smeared urine dataset. This result outperformed the single MBNet model, indicating the effectiveness of the multi-scale buffered architecture for global and large-scale features of directly smeared data, as well as the high sensitivity of spectral database matching for single bacterial targets. The rapid determination solution of the whole process, which combines directly smeared sample preparation, joint determination model, and software analysis integration, can provide a preliminary report of bacterial infection within 10 min, and it is expected to become a powerful supplement to the existing technologies of rapid bacterial detection.
Smartphone-Based Cognitive Telerehabilitation: A Usability and Feasibility Study Focusing on Mild Cognitive Impairment
Authors: Formica Caterina , Bonanno Mirjam , Sorbera Chiara , Quartarone Angelo , Giambò Fabio Mauro , Marra Angela , Calabrò Rocco Salvatore
Published: January 2024

The implementation of cognitive health apps in patients with mild cognitive impairment (MCI) is challenging because of their cognitive, age, and other clinical characteristics. In this project, we aimed to evaluate the usability and feasibility of the Rehastart app tested in MCI patients. Eighteen subjects affected by MCI due to neurodegenerative disorders (including Parkinson’s disease, multiple sclerosis, and amnestic/multidomain MCI) and eighteen healthcare professionals were recruited to this study. Patients were registered on the app by clinicians and they were assigned a protocol of specific cognitive exercises. The recruitment was conducted in the period between March and June 2023. The trial testing of the app consisted of three sessions per week for three weeks, with each session lasting about 30 min. After three weeks, the participants as well as medical personnel were invited to rate the usability and feasibility of the Rehastart mobile application. The instruments employed to evaluate the usability and feasibility of the app were the System Usability Scale (SUS), The Intrinsic Motivation Inventory (IMI) and the Client Satisfaction Questionnaire (CSQ). We did not find statistically significant differences on the SUS (p = 0.07) between healthcare professionals and patients. In addition, we found promising results on subscales of the Intrinsic Motivation Inventory, suggesting high levels of interest and enjoyment when using the Rehastart app. Our study demonstrated that smartphone-based telerehabilitation could be a suitable tool for people with MCI due to neurodegenerative disorders, since the Rehastart app was easy to use and motivating for both patients and healthy people.
Using Explainable Artificial Intelligence (XAI) to Predict the Influence of Weather on the Thermal Soaring Capabilities of Sailplanes for Smart City Applications
Authors: Schnieder Maren
Published: January 2024

Background: Drones, also known as unmanned aerial vehicles, could potentially be a key part of future smart cities by aiding traffic management, infrastructure inspection and maybe even last mile delivery. This paper contributes to the research on managing a fleet of soaring aircraft by gaining an understanding of the influence of the weather on soaring capabilities. To do so, machine learning algorithms were trained on flight data, which was recorded in the UK over the past ten years at selected gliding clubs (i.e., sailplanes). Methods: A random forest regressor was trained to predict the flight duration and a random forest (RF) classifier was used to predict whether at least one flight on a given day managed to soar in thermals. SHAP (SHapley Additive exPlanations), a form of explainable artificial intelligence (AI), was used to understand the predictions given by the models. Results: The best RF have a mean absolute error of 5.7 min (flight duration) and an accuracy of 81.2% (probability of soaring in a thermal on a given day). The explanations derived from SHAP are in line with the common knowledge about the effect of weather systems to predict soaring potential. However, the key conclusion of this study is the importance of combining human knowledge with machine learning to devise a holistic explanation of a machine learning model and to avoid misinterpretations.
The TEI Program for Peer Tutoring and the Prevention of Bullying: Its Influence on Social Skills and Empathy among Secondary School Students
Authors: Soto-García O’Hara , Sainz Vanesa , Maldonado Antonio , Calmaestra Juan
Published: January 2024

Bullying is a phenomenon that afflicts millions of students around the world, severely harming their emotional and psychological well-being. In response to this challenge, the TEI program (Tutoría Entre Iguales or Peer Tutoring) has been developed as a bullying prevention strategy, aiding students in acquiring social skills and emotional strategies for conflict resolution. The purpose of this research is to examine social skills and empathy among different actors involved in bullying (non-involved, victim, bully, and bully-victim) among secondary school students and to evaluate the impact of the TEI program on the development of relational competencies. A comparative, ex post facto study was conducted in three schools where the TEI program has been implemented (TEI schools) and three where it has not (non-TEI schools). A total of 738 secondary school students (ESO) participated in the study, using a standardized questionnaire to evaluate their perception of bullying. The results of this study demonstrate higher levels of assertiveness and empathy in the non-involved and victim groups. However, lower levels of conflict resolution skills were found in the bully-victim group. In TEI schools, a higher percentage of students not involved in bullying and a lower percentage of bully-victims were observed. Additionally, students in TEI schools scored higher in assertiveness, conflict resolution skills, social skills, and empathy. These findings highlight the importance of developing students’ relational competencies and implementing strategies for bullying prevention to create a safe, healthy, and positive learning environment in schools.
Epistemic Uncertainty, Social Dominance Orientation, and Prejudices toward Women in Leadership Roles: Mediation and Moderation Analyses
Authors: Contu Federico , Aiello Antonio , Pierro Antonio
Published: January 2024

This research investigated the relation between the need for cognitive closure, social dominance orientation, and attitudes toward women as managers within a sample of Italian workers (N = 391) enrolled in a cross-sectional study. More specifically, we hypothesized and found that the association between need for cognitive closure and prejudice toward women managers was mediated by social dominance orientation. Notably, these results remained significant even after controlling for participants’ gender, education, age, and political orientation. Further, results from a moderation analysis revealed that the relationship between social dominance orientation and negative attitudes toward woman leaders was moderated by the need for cognitive closure. That is, the relationship between social dominance orientation and prejudice towards women managers was stronger for participants higher in need for cognitive closure—compared to those who were low. These results could shed light on new routes in practical intervention aimed at solving prejudice towards women in leadership roles.
Human Resource Management Practices and Decent Work in UN Global Compact: A Qualitative Analysis of Participants’ Reports
Authors: Magalhães Anabela , dos Santos Nuno Rebelo , Pais Leonor
Published: January 2024

This study aims at describing and characterizing the Human Resources practices (HRPs), as reported by organizations within the framework of the United Nations Global Compact (UNGC). That endeavor was undertaken considering the concept of decent work (DW). Specifically, we intended to analyze and verify to what extent those practices translate and incorporate the concept of DW to build a typology of commitment levels by organizations regarding the values behind UNGC. We conducted a documentary analysis on 40 annual reports of Portuguese organizations’ participants of the UNGC. A qualitative content analysis using NVivo and a descriptive and cluster analysis based on coding similarity were performed. One output of this research is the design of a maturity typology of adhesion to the UNCG. Four levels were identified, reflecting expressed concerns with DW concepts and the UNGC Ten Principles and its integration into HRP. This research reflects the concerns of Human Resources Management (HRM) with the wellbeing, development, and conditions of employees and may support the design of future research and interventions, leading to more responsible and ethical HRM practices.
Getúlio Vargas and the Making of Restrictive Migratory Policies in Post-1930 Brazil
Authors: Schpun Mônica Raisa
Published: January 2024

Following Brazil’s “great migration” period (1880–1930) came Getúlio Vargas’s rise to power, marking a radical historical rupture. From 1930 onwards, we observed the construction of a framework of restrictive rules aimed at controlling the entry and stay of foreigners in the country, including an ethnically differentiated management of flows. This article sought to cross-reference the new migratory policy, aimed at both new entries and immigrants already present in the territory, with the issue of race. To this end, it dealt with two groups of immigrants whose flows were directly impacted by the new policies (and by racism), but not in the same way: Japanese and Jews. The reflection also turned to the different experiences in each of the two groups between the candidates for immigration—in the face of the new barriers imposed on entry and those already living in Brazil in the face of the assimilationist measures adopted. Brazilian migration policies and state actions have been studied more often than the agency of immigrants. In this sense, the existing studies have focused more on the management of new flows than on the experience of immigrants already settled in the territory. The text, therefore, assumed a change of perspective, opting for a look “from below” in order to focus on both sides of the scales and the border. Finally, it examined the historiography that dealt with migration policy during the Vargas era and, more specifically, that which focused on Jewish and Japanese immigration.
Housework Reallocation between Genders and Generations during China’s COVID-19 Lockdowns: Patterns & Reasons
Authors: Wang Ting
Published: January 2024

This paper examines housework reallocation during China’s stringent pandemic lockdowns in 2020, where individuals were homebound and job-free while employment status remained unchanged. Utilizing a mixed-method approach, it analyzes 1669 surveys and 100 interviews to understand changes in domestic labor patterns and the underlying reasons. The findings indicate that men increased their participation in grocery shopping but decreased in cooking, cleaning, and laundry during the lockdown. This gender-task pattern was mirrored in multi-generational households, where younger family members often took on these tasks. The reasons articulated for these shifts predominantly converged around the ‘doing gender’ theory. Women, particularly those working full-time, had more time to engage in household chores. Men, while also having more available time, predominantly focused on grocery shopping, a task that gained masculine connotations during the lockdown. Factors such as perceived differences in household labor quality, difficulty delegating housework, and reduced workload led to women’s increased involvement and specialization in domestic tasks. The study challenges the notion that economic factors are the primary drivers of gender-based division of housework. Instead, it suggests that ingrained gender norms continue to dictate domestic roles, as evidenced during the lockdown period devoid of usual economic and time pressures.
Snail Shell Waste Threat to Sustainability and Circular Economy: Novel Application in Food Industries
Authors: Potortì Angela Giorgia , Messina Laura , Licata Patrizia , Gugliandolo Enrico , Santini Antonello , Di Bella Giuseppa
Published: January 2024

Effective waste management has become an urgent societal challenge. Food waste is made up of items meant for human consumption that are lost, polluted, disposed of, or deteriorated; the reutilization of shells from mollusk waste is a severe problem in terms of environmental protection and the development of the circular economy. The properties of waste shells are presented and discussed, including their biological–natural origin and high calcium carbonate content. This could add social and innovation focus on shell waste management, getting a non-toxic, eco-sustainable, low-cost, biodegradable supplement to invest in. Furthermore, it has the potential to support the circular economy approach by creating a closed system that minimizes the use of natural resources and environmental contamination. This review explores edible mollusk shell waste sources and functional properties of inorganic components of snail shell waste like minerals and active substances like chitin, chitosan, and calcium carbonate and attempts to carry out a comprehensive analysis of the scientific literature published over the last 20 years, elucidating prominent patterns in the utilization of shell waste in food application industry, as additives and supplements development to promote both human and animal health.
The Sustainability of Reskilling Projects Based on Employees’ Readiness for a Career Shift: Pursuing Sustainable Careers by Transitioning into IT Professions
Authors: Obradović Vladimir , Kovačević Ivana , Kužet Ivana , Manojlović Mateja
Published: January 2024

Today’s organizations are highly responsive to external changes, which they also demand from their employees. All employees need competencies to respond to Industry 4.0, the green business economy, and post-COVID-19 work circumstances and to manage sustainable careers. One way of doing so is to take active part in reskilling projects and be ready for a career shift, which we believe can be foreseen in people’s devotion to sustainable careers and can ensure the sustainability of the whole reskilling project. With the presumption that the concept of sustainable careers can be captured in terms of the concept of readiness for a career shift, this study aims to explore the potential of the scale of readiness for career shifts to predict participants’ success in reskilling projects (in the context of IT professions). The research was conducted on 336 candidates who applied for Java and PHP programming positions and had no previous knowledge or experience in the field. The results show that the scale of readiness for career shifts has acceptable metric characteristics, and canonical discriminant analysis confirmed that the overall score can be used to predict outcomes in the reskilling project, while predictions based on single indicators were rather ambiguous. Therefore, the scale can be used as a tool in the process of selecting reskilling candidates (at least in professional transitions in the domain of IT), but further research on the topic might shed more light on the concept.
Reconciling Heritage Buildings’ Preservation with Energy Transition Goals: Insights from an Italian Case Study
Authors: Franco Giovanna , Mauri Sara
Published: January 2024

The construction industry in Europe significantly contributes to energy consumption and carbon dioxide emissions, and this has prompted the European Union to issue directives for renovating and decarbonizing the existing building stock to meet 2050’s energy and environmental targets. However, achieving nearly zero-energy building (nZEB) standards in historic buildings is a complex challenge, as heritage values cannot be compromised for the sake of energy improvements. Our research advocates for a “whole building approach”, integrating various disciplines to achieve low-energy retrofitting while preserving historical material authenticity. The proposed methodology, inspired by the EN16883:2017 standard, involves a comprehensive building survey and assessment, the definition of conservation-compatible design solutions, and a performance analysis of these selected measures in relation to nZEB standards. This method was then applied to an ongoing project on a small, listed building in Genoa, demonstrating the feasibility of achieving conservation and high energy savings and, in these specific circumstances, the possibility of approaching nZEB parameters. This best practice example highlights the importance of adopting a cross-disciplinary, structured method to balance different values and needs in retrofitting projects, and it shows how creative and innovative solutions can break down the typical barriers encountered when implementing retrofitting solutions for built heritage.
An Assessment of Digitalization Techniques in Contact Centers and Their Impact on Agent Performance and Well-Being
Authors: Pacella Massimo , Vasco Paride , Papadia Gabriele , Giliberti Vincenzo
Published: January 2024

The role of contact centers in improving the operational efficiency of numerous organizations is of utmost importance. Presently, digitalization technology has enabled contact centers to deliver exceptional customer service and support, while minimizing the adverse impact on agent well-being. Artificial intelligence techniques such as topic modeling and sentiment analysis can aid agents in addressing specific queries, providing real-time support and feedback, and helping them build stronger relationships with customers. This study aims to investigate the advantages of integrating these techniques in the analysis of customer–agent conversations within contact centers. This study examines whether there is a discernible advantage in analyzing customer–agent conversations in real-time and whether it is worth using this type of digitization to enhance agent performance and well-being. Furthermore, this study explores the impact of these technologies on European privacy, business, real-time agent support, the value of conversation data, brand reputation, and customer satisfaction. The results of this study demonstrate the significance of incorporating topic modeling and sentiment analysis into the analysis of customer–agent conversations at contact centers.
Reapplication Potential of Historic Pb–Zn Slag with Regard to Zero Waste Principles
Authors: Radulović Dragan , Terzić Anja , Stojanović Jovica , Jovanović Vladimir , Todorović Dejan , Ivošević Branislav
Published: January 2024

Smelting used to be less efficient; therefore, wastes obtained from historical processing at smelter plants usually contain certain quantities of valuable metals. Upon the extraction of useful metal elements, metallurgical slag can be repurposed as an alternative mineral raw material in the building sector. A case study was conducted, which included an investigation of the physico-chemical, mineralogical, and microstructural properties of Pb–Zn slag found at the historic landfill near the Topilnica Veles smelter in North Macedonia. The slag was sampled using drill holes. The mineralogical and microstructural analysis revealed that Pb–Zn slag is a very complex and inhomogeneous alternative raw material with utilizable levels of metals, specifically Pb (2.3 wt.%), Zn (7.1 wt.%), and Ag (27.5 ppm). Crystalline mineral phases of wurtzite, sphalerite, galena, cerussite, akermanite, wüstite, monticellite, franklinite, and zincite were identified in the analyzed samples. The slag’s matrix consisted of alumino-silicates, amorphous silicates, and mixtures of spinel and silicates. Due to the economic potential of Pb, Zn, and Ag extraction, the first stage of reutilization will be to transform metal concentrates into their collective concentrate, from which the maximum amount of these crucial components can be extracted. This procedure will include combination of gravity concentration and separation techniques. The next step is to assess the Pb–Zn slag’s potential applications in civil engineering, based on its mineralogical and physico-mechanical properties. Alumino-silicates present in Pb–Zn slag, which contain high concentrations of SiO2, Al2O3, CaO, and Fe2O3, are suitable for use in cementitious building composites. The goal of this research is to suggest a solution by which to close the circle of slag’s reutilization in terms of zero waste principles. It is therefore critical to thoroughly investigate the material, the established methods and preparation processes, and the ways of concentrating useful components into commercial products.
Understanding the Determinants of Lane Inefficiency at Fully Actuated Intersections: An Empirical Analysis
Authors: Karabulut Nihat Can , Ozen Murat , Altintasi Oruc
Published: January 2024

As urban traffic challenges intensify, the growing interest for fully actuated control systems in intersection management is on the rise due to their capacity to adapt to dynamic traffic demands. These systems play a crucial role in sustainable traffic solutions, significantly reducing delays and emissions and enhancing overall system efficiency. The optimal performance of these systems relies on effectively facilitating vehicle discharge at the saturation flow rate throughout the green period. This study introduces a new parameter, lane inefficiency, evaluating vehicle discharge effectiveness by comparing saturation flow rate with instantaneous discharge for each green period. It provides a comprehensive assessment of green utilization for specific lanes. This study also explores the impact of signal control system parameters and traffic flow characteristics on lane inefficiency using principal component analysis (PCA) and multiple linear regression models. This approach holistically evaluates how both signal control system and traffic flow parameters collectively influence efficient green period utilization. The findings emphasize the impact of critical factors on lane inefficiency, including green time, the proportion of total unused green time to green time, total unused green time, the percentage of heavy vehicles in departing traffic, the ratio of effective green time to cycle time, the total time headways of the first four vehicles, and queue length. Decision makers need to pay due attention to these parameters to enhance intersection performance and foster a more sustainable urban transportation network.
Spatial Distribution and Accessibility Analysis of Primary School Facilities in Mega Cities: A Case Study of Chengdu
Authors: Jiang Jiulin , Wang Zegen , Yong Zhiwei , He Jiwu , Yang Ye , Zhang Ying
Published: January 2024

High-quality and equitable primary education services promote the building of a harmonious socialist society and are an important basis for improving people’s quality of life and promoting high-quality and sustainable regional development. Here, we take Chengdu City as a test area, integrate data from multiple sources, use the random forest model to simulate the distribution data of primary school-age children in Chengdu City in 2020, and use the kernel density estimation method and the multi-traffic mode two-stage floating catchment area method to measure the spatial distribution characteristics and accessibility of primary school educational facilities in Chengdu City and combine the imbalance index and spatial autocorrelation analysis, examination of the equalization of the distribution of primary school educational facilities, and the correlation between school-age population and accessibility. The results show that in the past decade, the population of Chengdu has grown rapidly, and the number of primary school-age children has also been increasing. The overall distribution of primary school-age children in Chengdu presents a decentralized pattern of “one point with multiple cores”, with the population decreasing from the center to the periphery, and the population distribution dominates the spatial distribution of primary school facilities, which also highlights the imbalance in the construction of primary school facilities to some extent (S = 0.257), which was mainly manifested by the fact that the central-eastern part of the city has more primary school facilities, while the western part has fewer. In addition, the results of both accessibility and autocorrelation analyses show that the overall accessibility of the central circle of Chengdu was high, while the accessibility of the second and third circles was at a lower level and below, with very obvious cross-regional and cross-circle differences. This study can not only provide more accurate recommendations for the allocation of educational facilities but also serve as a reference for evaluating the spatial equity of other public services in the city.
Framework to Identify Vehicle Platoons under Heterogeneous Traffic Conditions on Urban Roads
Authors: Kasi Karthiga , Karuppanan Gunasekaran
Published: January 2024

Vehicle platoon studies are essential for understanding and managing traffic on urban arterial roads. The identification of vehicle platoons on urban roads has drawn more attention in recent years. Researchers have been exploring various methods and algorithms to detect and classify platoons, as well as investigating the benefits and implications of their presence on road capacity, safety, fuel consumption, and environmental pollution. The present study formulated a three-step strategy to identify vehicle platoons in the urban road network under heterogeneous traffic conditions. The proposed three steps are recognizing vehicle interaction, the estimation of critical headway, and vehicle platoon identification. Traffic data were collected for 13 h in a six-lane divided urban arterial road using an infrared sensor. A Python program was developed to recognize vehicle platoons. The results revealed that out of a total of 42,500 vehicles observed, 74% of vehicles were in vehicle platoons. The characteristics of the identified vehicle platoons were studied, thus focusing on key aspects such as platoon size, intra-platoon headway, platoon stream speed, and vehicle composition in the platoon. The results revealed a linear relationship between the percentage of vehicles in the platoon and traffic volume. The findings of the study will be beneficial in examining platoon-based data aggregation, the utilization of road capacity, and traffic flow optimization.
Considering Historical Land Use When Estimating Soil Carbon Stock Changes of Transitional Croplands
Authors: Copenhaver Kenneth , Mueller Steffen
Published: January 2024

Understanding changes to soil organic carbon storage (SOC) requires knowledge of detailed land use history. Many satellite-based analyses of land use change have been conducted over short periods (typically 5 to 10 years) to investigate causality to a demand increase in an agricultural commodity. However, statistically significant changes in SOC are not readily observable during this time and typically require decades for meaningful differences to accrue. This study aimed to determine land use and soil organic carbon stocks on land parcels over 36 years (1985–2021) located in areas where historical land use transitions between cropland and non-cropland are prevalent. Aerial and satellite imagery were analyzed across 25,992 hectares in ten counties across the Corn Belt. Grower interviews were conducted to solicit feedback on the drivers of land use change. Finally, SOC analyses associated with land use changes were determined using two process-based models. Analysis showed that 371 of the parcels had remained in cropland, 611 parcels transitioned into non-cropland, and 18 parcels were identified as non-cropland. The grower surveys indicated that the most common reasons for returning land to crop was the difficulty getting land re-enrolled in the CRP and reduced cattle prices. Both the SALUS and GREET-CCLUB models were parameterized to assess soil carbon changes for the respective land use history, and both models returned consistent SOC increases at the county level over time.
Assessment of Atmospheric Deposition of Potentially Toxic Elements in Macedonia Using a Moss Biomonitoring Technique
Authors: Barandovski Lambe , Stafilov Trajče , Šajn Robert , Bačeva Andonovska Katerina , Frontasyeva Marina , Zinicovscaia Inga
Published: January 2024

This study aims to investigate the changes in atmospheric deposition trends in Macedonia, using a moss biomonitoring technique. This technique has been used to assess the content of potentially toxic elements in Macedonia in 2002, 2005, 2010, and 2015, within the framework of the International Cooperative Program on Effects of Air Pollution on Natural Vegetation and Crops. The content of 42 elements was analyzed using instrumental neutron activation analysis (INAA), inductively coupled plasma–atomic emission spectrometry (ICP–AES), and atomic absorption spectrometry (AAS), on 72 moss samples collected in the summer of 2015. The median values of the elements studied were compared with data from previous years and with median values obtained from comparable studies in Norway and the neighboring countries. Through factor and cluster analysis, three geogenic factors were identified: Factor 1, which includes the elements Al, Ce, Fe, Hf, La, Li, Na, Sc, Sm, Tb, Ti, Th, V, and U; Factor 4, which includes As, Cl, and I; and Factor 5, which includes the elements Ba and Sr. In addition, one geogenic-anthropogenic factor containing Co, Cr, and Ni (Factor 2), was identified, and one anthropogenic factor containing Cd, Pb, Sb, and Zn (Factor 3). The lead and zinc mines near the towns of Kriva Palanka, Probištip, and Makedonska Kamenica in the eastern region of the country, the former lead and zinc smelter in the town of Veles, and the ferronickel smelter near Kavadarci, have continuously had the greatest anthropogenic impact on the atmospheric deposition of potentially toxic elements during the time period of the study. In addition to the human influences, the lithology and the composition of the soil continue to play a significant role in the distribution of the elements.
An Existence Result for Second-Order Boundary-Value Problems via New Fixed-Point Theorems on Quasi-Metric Space
Authors: Güngör Gonca Durmaz , Altun Ishak
Published: January 2024

We introduce the new idea of (α−θσ)-contraction in quasi-metric spaces in this paper. For these kinds of mappings, we then prove new fixed-point theorems on left K, left M, and left Smyth-complete quasi-metric spaces. We also apply our results to infer the existence of a solution to a second-order boundary-value problem.
The Properties of Topological Manifolds of Simplicial Polynomials
Authors: Bagchi Susmit
Published: January 2024

The formulations of polynomials over a topological simplex combine the elements of topology and algebraic geometry. This paper proposes the formulation of simplicial polynomials and the properties of resulting topological manifolds in two classes, non-degenerate forms and degenerate forms, without imposing the conditions of affine topological spaces. The non-degenerate class maintains the degree preservation principle of the atoms of the polynomials of a topological simplex, which is relaxed in the degenerate class. The concept of hybrid decomposition of a simplicial polynomial in the non-degenerate class is introduced. The decompositions of simplicial polynomial for a large set of simplex vertices generate ideal components from the radical, and the components preserve the topologically isolated origin in all cases within the topological manifolds. Interestingly, the topological manifolds generated by a non-degenerate class of simplicial polynomials do not retain the homeomorphism property under polynomial extension by atom addition if the simplicial condition is violated. However, the topological manifolds generated by the degenerate class always preserve isomorphism with varying rotational orientations. The hybrid decompositions of the non-degenerate class of simplicial polynomials give rise to the formation of simplicial chains. The proposed formulations do not impose strict positivity on simplicial polynomials as a precondition.
Structure of Current Sheets Formed in 2D Magnetic Configurations with X-Type Null Lines in the Presence of the Hall Currents and Inverse Currents
Authors: Frank Anna G. , Savinov Sergey A.
Published: January 2024

We present experimental results on the formation and evolution of current sheets in two-dimensional magnetic configurations with an X-type null line. Typical features of both the initial magnetic field and the current sheet are their symmetry properties. The experiments were carried out using the CS-3D setup. The formation of a current sheet occurs just after the magneto-sonic wave converges at the null line; then, both the electric current and plasma become compressed in a planar 2D sheet, which accumulates an excess of magnetic energy. The excitation of the Hall currents, which build up the out-of-plane magnetic fields inside the 2D current sheet, brings about the modification of the sheet structure. As a result, the magnetic fields and plasma currents become 3D. The dynamic plasma processes give rise to additional current sheet deformations, which are caused by the excitation of inverse currents at the side edges of the sheet. As a consequence, the out-of-plane magnetic fields are reversed, and strong Ampère’s forces of the opposite directions come into play. These forces slow down the previously accelerated high-speed plasma flows so that the flows become limited in time and space.
Universal Complexity Science and Theory of Everything: Challenges and Prospects
Authors: Kesić Srdjan
Published: January 2024

This article argues that complexity scientists have been searching for a universal complexity in the form of a “theory of everything” since some important theoretical breakthroughs such as Bertalanffy’s general systems theory, Wiener’s cybernetics, chaos theory, synergetics, self-organization, self-organized criticality and complex adaptive systems, which brought the study of complex systems into mainstream science. In this respect, much attention has been paid to the importance of a “reductionist complexity science” or a “reductionist theory of everything”. Alternatively, many scholars strongly argue for a holistic or emergentist “theory of everything”. The unifying characteristic of both attempts to account for complexity is an insistence on one robust explanatory framework to describe almost all natural and socio-technical phenomena. Nevertheless, researchers need to understand the conceptual historical background of “complexity science” in order to understand these longstanding efforts to develop a single all-inclusive theory. In this theoretical overview, I address this underappreciated problem and argue that both accounts of the “theory of everything” seem problematic, as they do not seem to be able to capture the whole of reality. This realization could mean that the idea of a single omnipotent theory falls flat. However, the prospects for a “holistic theory of everything” are much better than a “reductionist theory of everything”. Nonetheless, various forms of contemporary systems thinking and conceptual tools could make the path to the “theory of everything” much more accessible. These new advances in thinking about complexity, such as “Bohr’s complementarity”, Morin’s Complex thinking, and Cabrera’s DSRP theory, might allow the theorists to abandon the EITHER/OR logical operators and start thinking about BOTH/AND operators to seek reconciliation between reductionism and holism, which might lead them to a new “theory of everything”.
Introduction to Special Issue Imaging in Cancer Diagnosis
Authors: Zanon Chiara , Quaia Emilio , Crimì Filippo
Published: January 2024

In the field of oncology, the precision of cancer imaging is the cornerstone of oncological patient care [...]
Lactic Acid Salts of Nicotine Potentiate the Transfer of Toxic Metals into Electronic Cigarette Aerosols
Authors: Pappas R. Steven , Gray Naudia , Halstead Mary , Watson Clifford H.
Published: January 2024

The designs and liquid formulations of Electronic Nicotine Delivery System (ENDS) devices continue to rapidly evolve. Thus, it is important to monitor and characterize ENDS aerosols for changes in toxic constituents. Many ENDS liquid formulations now include the addition of organic acids in a 1 to 1 molar ratio with nicotine. Metal concentrations in aerosols produced by ENDS devices with different nicotine salt formulations were analyzed. Aerosols from devices containing lactic acid had higher nickel, zinc, copper, and chromium concentrations than aerosols produced by devices containing benzoic acid or levulinic acid. Our scanning electron microscope with energy dispersive X-ray analytical findings showed that the metals determined in the inductively coupled plasma-mass spectrometry analytical results were consistent with the metal compositions of the ENDS device components that were exposed to the liquids and that nickel is a major constituent in many ENDS internal components. As a result of the exposure of the nickel-containing components to the ENDS liquids, resulting aerosol nickel concentrations per puff were higher from devices that contained lactic acid in comparison to devices with benzoic or levulinic acid. The aerosol nickel concentrations in 10 puffs from ENDS-containing lactic acid were, in some cases, hundreds of times higher than cigarette mainstream smoke nickel deliveries. Thus, the design of an ENDS device in terms of both physical construction components and the liquid chemical formulations could directly impact potential exposures to toxic constituents such as metals.
Z-Type Heterojunction MnO2@g-C3N4 Photocatalyst-Activated Peroxymonosulfate for the Removal of Tetracycline Hydrochloride in Water
Authors: Lu Guanglu , Li Xinjuan , Lu Peng , Guo He , Wang Zimo , Zhang Qian , Li Yuchao , Sun Wenbo , An Jiutao , Zhang Zijian
Published: January 2024

A Z-type heterojunction MnO2@g-C3N4 photocatalyst with excellent performance was synthesized by an easy high-temperature thermal polymerization approach and combined with peroxymonosulfate (PMS) oxidation technology for highly efficient degrading of tetracycline hydrochloride (TC). Analysis of the morphological structural and photoelectric properties of the catalysts was achieved through different characterization approaches, showing that the addition of MnO2 heightened visible light absorption by g-C3N4. The Mn1-CN1/PMS system showed the best degradation of TC wastewater, with a TC degradation efficiency of 96.97% following 180 min of treatment. This was an approximate 38.65% increase over the g-C3N4/PMS system. Additionally, the Mn1-CN1 catalyst exhibited excellent stability and reusability. The active species trapping experiment indicated •OH and SO4•− remained the primary active species to degrade TC in the combined system. TC degradation pathways and intermediate products were determined. The Three-Dimensional Excitation-Emission Matrix (3DEEM) was employed for analyzing changes in the molecular structure in TC photocatalytic degradation. The biological toxicity of TC and its degradation intermediates were investigated via the Toxicity Estimation Software Test (T.E.S.T.). The research offers fresh thinking for water environment pollution treatment.