bluuebunny/crossref_metadata_2025 huggingface dataset:
Registration of Building Scan with IFC-Based BIM Using the Corner Points
Authors: Sheik Noaman Akbar , Veelaert Peter , Deruyter Greet
Published: October 2022

Progress monitoring is an essential part of large construction projects. As manual progress monitoring is time-consuming, the need for automation emerges, especially as, nowadays, BIM for the design of buildings and laser scanning for capturing the as-built situation have become well adopted. However, to be able to compare the as-built model obtained by laser scanning to the BIM design, both models need to use the same reference system, which often is not the case. Transforming the coordinate system of the as-built model into the BIM model is a specialist process that is pre-requisite in automated construction progress monitoring. The research described in this paper is aimed at the automation of this so-called registration process and is based on the dominant planar geometry of most buildings with evident corner points in their structures. After extracting these corner points from both the as-built and the design model, a RANSAC-based pairwise assessment of the points is performed to identify potential matching points in both models using different discriminative geometric invariants. Next, the transformation for the potential matches is evaluated to find all the matching points. In the end, the most accurate transformation parameter is determined from the individual transformation parameters of all the matching corner points. The proposed method was tested and validated with a range of both simulated and real-life datasets. In all the case studies including the simulated and real-life datasets, the registration was successful and accurate. Furthermore, the method allows for the registration of the as-built models of incomplete buildings, which is essential for effective construction progress monitoring. As the method uses the standard IFC schema for data exchange with the BIM, there is no loss of geometrical information caused by data conversions and it supports the complete automation of the progress-monitoring process.
Methods and Algorithms of Subsurface Holographic Sounding
Authors: Popov A. V. , Reznikov A. E. , Berkut A. I. , Edemsky D. E. , Morozov P. A. , Prokopovich I. V.
Published: October 2022

In our experiments, we develop and test portable multi-element receiver antenna arrays, electrically scanned in order to immediately obtain a recognizable image of subsurface objects. Two quadrature components of the radar return signal are processed with a Kirchhoff backward migration algorithm. Physical theory is used to assess the quality of the holographic image, and the synthetic aperture approach is developed and tested. The parabolic wave equation and Gaussian beam technique are used in order to take into account refraction effects and to suppress specular reflection from the air-ground interface. Laboratory and field tests confirmed the predicted device parameters.
An Overview of Vegetation Dynamics Revealed by Remote Sensing and Its Feedback to Regional and Global Climate
Authors: Wang Xuejia , Ou Tinghai , Zhang Wenxin , Ran Youhua
Published: October 2022

Vegetation, as one of the crucial underlying land surfaces, plays an important role in terrestrial ecosystems and the Earth’s climate system through the alternation of its phenology, type, structure, and function [...]
Scalability and Performance of LiDAR Point Cloud Data Management Systems: A State-of-the-Art Review
Authors: Lokugam Hewage Chamin Nalinda , Laefer Debra F. , Vo Anh-Vu , Le-Khac Nhien-An , Bertolotto Michela
Published: October 2022

Current state-of-the-art point cloud data management (PCDM) systems rely on a variety of parallel architectures and diverse data models. The main objective of these implementations is achieving higher scalability without compromising performance. This paper reviews the scalability and performance of state-of-the-art PCDM systems with respect to both parallel architectures and data models. More specifically, in terms of parallel architectures, shared-memory architecture, shared-disk architecture, and shared-nothing architecture are considered. In terms of data models, relational models, and novel data models (such as wide-column models) are considered. New structured query language (NewSQL) models are considered. The impacts of parallel architectures and data models are discussed with respect to theoretical perspectives and in the context of existing PCDM implementations. Based on the review, a methodical approach for the selection of parallel architectures and data models for highly scalable and performance-efficient PCDM system development is proposed. Finally, notable research gaps in the PCDM literature are presented as possible directions for future research.
Pixel-Based Long-Term (2001–2020) Estimations of Forest Fire Emissions over the Himalaya
Authors: Bar Somnath , Parida Bikash Ranjan , Pandey Arvind Chandra , Kumar Navneet
Published: October 2022

Forest/wildfires have been one of the most notable severe catastrophes in recent decades across the globe, and their intensity is expected to rise with global warming. Forest fire contributes significantly to particulate and gaseous pollution in the atmosphere. This study has estimated the pixel-based emissions (CO, CO2, CH4, NOx, SO2, NH3, PM2.5, PM10, OC, and BC) from forest fires over the Himalaya (including India, Nepal, and Bhutan). The MODIS-based burned area (MCD64A1), Land Use Land Cover (LULC; MCD12A1), NDVI (MOD13A2), percentage tree cover (MOD44A6), gridded biomass, and species-wise emissions factors were used to estimate the monthly emissions from forest fires over the last two decades (2001–2020). A bottom-up approach was adopted to retrieve the emissions. A substantial inter-annual variation of forest burn area was found over the western, central (Nepal), and eastern Himalaya (including Bhutan). The eastern Himalaya exhibited the highest average annual CO2 emission, i.e., 20.37 Tg, followed by Nepal, 15.52 Tg, and the western Himalaya, 4.92 Tg. Spatially, the higher CO2 (0.01–0.02 Tg year−1/km2) and CO (0.007–0.002 Tg year−1/km2) emissions were detected along the south-eastern parts of the eastern Himalaya, southern regions of Nepal, and south-eastern parts of the western Himalaya. The trend of forest fire emissions in 2001–2010 was significantly positive, while in the next decade (2011–2020) a negative trend was recorded. The estimated pixel-based emission and Global Fire Emission Dataset (GFEDv4.1s) data demonstrated a promising association with a correlation coefficient (r) between 0.80 and 0.93. An inventory of forest fire emissions over long-term periods can be helpful for policymakers. In addition, it helps to set guidelines for air quality and atmospheric transport modelling and to better understand atmospheric pollution over the Himalayan and associated regions.
Analysis of the Spatial and Temporal Distribution of Potential Evapotranspiration in Akmola Oblast, Kazakhstan, and the Driving Factors
Authors: Chen Yusen , Zhang Shihang , Wang Yongdong
Published: October 2022

Potential evapotranspiration (PET) is the capacity of the sub-surface evapotranspiration process, which is determined by weather and climate conditions. As an important component of the surface energy balance and hydrological cycle, PET determines hydrothermal transport in surface ecosystems and is an important factor in regional water resource evaluation, water use efficiency, and drought prediction. Most of the existing studies have focused on the impact of PET on the ecological environment and regional climate, providing limited information on the characteristics of the regional distribution of potential evapotranspiration itself and the associated drivers. In this study, we use the Penman-Monteith (P–M) model to calculate the PET in Akmola Oblast, combined with relevant climate data, partial correlation analysis, and structural equation modelling (SEM) to investigate the spatial and temporal distribution characteristics of PET in the study area and its driving factors, as well as the influence of meteorological activity on PET after the implementation of the Green Ring Project in the capital area of Kazakhstan. The results of the study show that: (1) The PET in Akmola State presented a decreasing trend from 1991 to 2021, with a multi-year average value of 835.87 mm. There is large heterogeneity in the spatial distribution of PET, being significantly higher in the southwestern and northeastern regions of the study area than in the central region. (2) Simple and partial correlation analyses indicate that most of the correlations between meteorological and PET were significant, with strong spatial heterogeneity in the number of biased relationships between different meteorological activity and PET. The spatial characteristics of the correlations between PET and Srad (Solar radiation), VS (wind speed), and MAT (Mean annual temperature) were similar, with the strongest correlations observed in the southwestern part of Akmola State. Furthermore, the spatial distribution of the correlations between PET and SWC (soil water content) and ST (soil temperature) was similar, with stronger correlations in the central part of the study area than elsewhere. (3) The SEM demonstrated that the main drivers of PET change across the study area are Srad (0.59) and VS (0.37). In the metropolitan area, MAP (mean annual precipitation) is also a major driver of PET change, due to the implementation of the Green Ring Project, which has increased vegetation cover and improved the local environment. The results of this study highlight the impact of climate change on PET in Akmola Oblast, Kazakhstan, contributing to a better understanding of PET evolution and providing guidance for water management planning.
Evaluation of the Landsat-8 Albedo Product across the Circumpolar Domain
Authors: Erb Angela M. , Li Zhan , Sun Qingsong , Paynter Ian , Wang Zhuosen , Schaaf Crystal
Published: October 2022

Land surface albedo plays an extremely important role in the surface energy budget, by determining the proportion of incoming solar radiation, which is available to drive photosynthesis and surface heating, and that which is reflected directly back to space. In northern high latitude regions, the albedo of snow-covered vegetation and open, leafless forest canopies in winter, is quite high, while the albedo of boreal evergreen conifers can either be quite low (even with extensive snow lying under the canopy) or rather bright depending on the structure and density of the canopy. Here, we present the further development and evaluation of a 30 m Landsat albedo product, including an operational blue-sky albedo product, for application in the circumpolar domain. The surface reflectances from the Landsat satellite constellation are coupled with surface anisotropy information (Bidirectional Reflectance Distribution Function, BRDF) from the MODerate-resolution Imaging Spectroradiometer (MODIS). The product is extensively validated across diverse land cover and conditions and performs well with root mean squared error of 0.0395 and negligible bias when compared to coincident tower-based albedo measurements. The development of this Landsat albedo products allows for better capture of ephemeral, heterogeneous and dynamic surface conditions at the landscape scale across the circumpolar domain.
Effects of Ecological Programs and Other Factors on Soil Wind Erosion between 1981–2020
Authors: Wu Jinzhou , Zheng Xiao , Zhao Lanlin , Fan Junmei , Liu Jinghong
Published: October 2022

Wind erosion is one of the most widespread and severe natural hazards in arid, semiarid, and semihumid regions worldwide. The Three-North region (TNR) (Northeast China, North China, and Northwest China) of China includes 90% of the wind erosion area in China. In response to the harsh environmental conditions in the TNR, China initiated a series of ecological programs, including the Three-North Afforestation Program and Grain for Green. However, little is known about the effect of these ecological programs on wind erosion. Therefore, within our study, we estimated the spatiotemporal variations in wind erosion in the TNR between 1981–2020 with a revised wind erosion model and analyzed its driving mechanism. Then, the ecological programs’ effects on wind erosion changes was identified. The results showed the following. (1) From 1981 to 2020, wind erosion showed a clear downward trend of 99.02 t km−2 a−1, with a slope. On average, the areas of mild, moderate, severe, more severe, and very severe wind erosion accounted for 28.76%, 7.17%, 3.92%, 3.72%, and 13.29% of the total in the TNR, respectively. (2) Wind erosion variation was inconsistent in different parts of the TNR. The wind erosion expressed a long-term decreasing trend in Northeast China and the Loess Plateau, a nonsignificant change in North Central China, and an increasing trend in Northwest China. (3) On average, ecological programs were very limited in reducing erosion at the regional scale, with a contribution of approximately 5.93% in the TNR because of the relatively small scope of ecological programs’ implementation. Climate change played a key role in adjusting wind erosion; wind speed, temperature, and precipitation affected 57.58% of the TNR. Human interference (proportion of cropland and grassland areas in a 1 km ×1 km grid) affected 8.78% of the TNR. Thus, the persistent complement of ecological programs, reasonable human activities, and timely observation is a method to alleviate wind erosion in the TNR.
Self-Supervised Learning for Point-Cloud Classification by a Multigrid Autoencoder
Authors: Zhai Ruifeng , Song Junfeng , Hou Shuzhao , Gao Fengli , Li Xueyan
Published: October 2022

It has become routine to directly process point clouds using a combination of shared multilayer perceptrons and aggregate functions. However, this practice has difficulty capturing the local information of point clouds, leading to information loss. Nevertheless, several recent works have proposed models that establish point-to-point relationships based on this procedure. However, to address the information loss, in this study we use self-supervised methods to enhance the network’s understanding of point clouds. Our proposed multigrid autoencoder (MA) constrains the encoder part of the classification network so that it gains an understanding of the point cloud as it reconstructs it. With the help of self-supervised learning, we find the original network improves performance. We validate our model on PointNet++, and the experimental results show that our method improves overall classification accuracy by 2.0% and 4.7% with ModelNet40 and ScanObjectNN datasets, respectively.
An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare
Authors: Bibbò Luigi , Carotenuto Riccardo , Della Corte Francesco
Published: October 2022

The number of older people needing healthcare is a growing global phenomenon. The assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and social assistance services. The cost is substantial, but technology can help reduce spending by ensuring efficient health services and improving the quality of life. Advances in artificial intelligence, wireless communication systems, and nanotechnology allow the creation of intelligent home care systems avoiding hospitalization with evident cost containment. They are capable of ensuring functions of recognition of activities, monitoring of vital functions, and tracking. However, it is essential to also have information on location in order to be able to promptly intervene in case of unforeseen events or assist people in carrying out activities in order to avoid incorrect behavior. In addition, the automatic detection of physical activities performed by human subjects is identified as human activity recognition (HAR). This work presents an overview of the positioning system as part of an integrated HAR system. Lastly, this study contains each technology’s concepts, features, accuracy, advantages, and limitations. With this work, we want to highlight the relationship between HAR and the indoor positioning system (IPS), which is poorly documented in the literature.
Defogging Algorithm Based on Polarization Characteristics and Atmospheric Transmission Model
Authors: Ling Feng , Zhang Yan , Shi Zhiguang , Zhang Jinghua , Zhang Yu , Zhang Yi
Published: October 2022

We propose a polarized image defogging algorithm according to the sky segmentation results and transmission map optimization. Firstly, we propose a joint sky segmentation method based on scene polarization information, gradient information and light intensity information. This method can effectively segment the sky region and accurately estimate the global parameters such as atmospheric polarization degree and atmospheric light intensity at infinite distance. Then, the Gaussian filter is used to solve the light intensity map of the target, and the information of the polarization degree of the target is solved. Finally, based on the segmented sky region, a three-step transmission optimization method is proposed, which can effectively suppress the halo effect in the reconstructed image of large area sky region. Experimental results shows that defogging has a big improvement in the average gradient of the image and the grayscale standard deviation. Therefore, the proposed algorithm provides strong defogging and can improve the optical imaging quality in foggy scenes by restoring fog-free images.
A Mixed-Reality Tele-Operation Method for High-Level Control of a Legged-Manipulator Robot
Authors: Cruz Ulloa Christyan , Domínguez David , Del Cerro Jaime , Barrientos Antonio
Published: October 2022

In recent years, legged (quadruped) robots have been subject of technological study and continuous development. These robots have a leading role in applications that require high mobility skills in complex terrain, as is the case of Search and Rescue (SAR). These robots stand out for their ability to adapt to different terrains, overcome obstacles and move within unstructured environments. Most of the implementations recently developed are focused on data collecting with sensors, such as lidar or cameras. This work seeks to integrate a 6DoF arm manipulator to the quadruped robot ARTU-R (A1 Rescue Tasks UPM Robot) by Unitree to perform manipulation tasks in SAR environments. The main contribution of this work is focused on the High-level control of the robotic set (Legged + Manipulator) using Mixed-Reality (MR). An optimization phase of the robotic set workspace has been previously developed in Matlab for the implementation, as well as a simulation phase in Gazebo to verify the dynamic functionality of the set in reconstructed environments. The first and second generation of Hololens glasses have been used and contrasted with a conventional interface to develop the MR control part of the proposed method. Manipulations of first aid equipment have been carried out to evaluate the proposed method. The main results show that the proposed method allows better control of the robotic set than conventional interfaces, improving the operator efficiency in performing robotic handling tasks and increasing confidence in decision-making. On the other hand, Hololens 2 showed a better user experience concerning graphics and latency time.
Amelioration of Alcoholic Liver Disease by Activating PXR-Cytochrome P450s Axis with Blackberry Extract
Authors: Xiao Ting , Guo Zhenghong , Fu Min , Huang Jiaoyan , Wang Xiaowei , Zhao Yuqing , Tao Ling , Shen Xiangchun
Published: October 2022

Blackberry is widely used in diets for its rich biological phytochemicals and health benefits. However, the relationship between the effect of blackberry extract (BBE) on ameliorating alcoholic liver disease (ALD) and the PXR-Cytochrome P450s axis in vivo and in vitro is unknown. In this study, 50% and 30% ethanol by gavage were used to establish acute and subacute ALD. Male mice were intragastrically administered BBE with 25, 50, and 100 mg/kg BW in the treatment groups. In the experiment, samples were collected, and related indices and histopathological observation were measured. In addition, the potential mechanism was predicted by network and docking studies, which were verified by qRT-PCR analysis, the detection of apoptosis, the measurement of mitochondrial membrane potential, the detection of ROS levels, and Western blotting in liver tissues and HepG2 cells. The acute and subacute ALD experiments indicated BBE ameliorated liver indices, AST, ALT, SOD, and MDA in serum, and the histopathology changed, as observed via H&E, Sirius red, and oil red O staining. The potential mechanism was predicted by network and docking studies, which were verified by experiments. Western blotting suggested BBE reduced the protein expression of NF-κB, TGF-β, IL-6, and α-SMA, and enhanced PXR and CAR in livers. In addition, qRT-PCR showed BBE significantly elevated the mRNA levels of PXR, CAR, CYP3A25, CYP3A11, and CYP2B10. In the experiment of the ethanol-induced apoptosis of HepG2 cells, BBE reduced the apoptosis of HepG2 cells by boosting mitochondrial membrane potential, reducing the apoptotic rate and ROS content, lessening the expression of Bax, and inducing the expression of PXR. For the first time, this study demonstrated BBE’s preventive effects on ALD, which are associated with the antioxidation and stimulation of the PXR-Cytochrome P450s axis. In addition, BBE is available as a nutritional agent.
Gut Microsex/Genderome, Immunity and the Stress Response in the Sexes: An Updated Review
Authors: Stefanaki Charikleia , Bacopoulou Flora , Chrousos George P.
Published: October 2022

Sex has been universally acknowledged as a confounding factor in every type of biological study, while there are strong sex differences in morbidity along the lifespan. Humans have almost identical genomes (99.2%), yet minor variance in their DNA produces remarkable phenotypic diversity across the human population. On the other hand, metagenomic analysis of the human microbiome is more variable, depending on the sex, lifestyle, geography, and age of individuals under study. Immune responses in humans also exhibit variations, with an especially striking sexual dimorphism, which is at play in several other physiologic processes. Sex steroids have noticeable effects on the composition of the human microbiome along the lifespan, accompanied by parallel changes in immunity and the stress response. Gut microsex/genderome, a recently coined term, defines the sexually dimorphic gut microbiome. Apart from the sex steroids, the stress hormones are also at play in the proliferation of microbes. This review summarizes the concept of gut microsex/genderome under the prism of recent studies on the interrelations of the sexually dimorphic microbiome with immunity and stress.
A Review on Significant Factors Causing Delays in Saudi Arabia Construction Projects
Authors: Alajmi Abdulali Mohammed , Ahmed Memon Zubair
Published: October 2022

The Kingdom of Saudi Arabia (KSA) is suffering major delays in construction projects. Because the construction business in Saudi Arabia has changed dramatically over the last three decades, it is crucial to conduct a thorough study into the reasons for delays and to get industry experts on the same page. In this paper, an overview of the construction sector generally and the Saudi Arabian construction industry has been presented. Based on the literature review the major causes, as well as effects of the delays caused in the construction industry, have been identified. Some of the common causes identified are incorrect planning, administration problems, difficulties in financing, lack of experienced staff, and poor communication. It is advised that the major actors in the construction sector employ the proper tactics to implement preventative measures to lessen the consequences when carrying out construction projects.
Auditing the ‘Social’ Using Conventions, Declarations, and Goal Setting Documents: A Scoping Review
Authors: Gill Simerta , Wolbring Gregor
Published: October 2022

The state of the ‘social’ that individuals, social groups and societies experience are a focus of international conventions, declarations and goal setting documents. Many indicators of the ‘social’ and measures of well-being that contain sets of indicators of the ‘social’ exist to ascertain the state of the ‘social’ of individuals, social groups, and societies. Marginalized groups are well known to have problems with the ‘social’ they experience. Equity, Diversity, and Inclusion (EDI) and similar phrases are used in policy discussions to deal with ‘social problems’ within research, education, and general workplace environments encountered by women, Indigenous peoples, visible/racialized minorities, disabled people, and LGBTQ2S+. The prevention of the worthening of the ‘social’ is one focus of science and technology governance and ethics discussions. Many health professions are also concerned about the ‘social’ such as the well-being of their clients and their roles as stated by many of their associations include being advocates and change agents. The objective of the study was to ascertain how the ‘social’ is engaged with in conjunction with the following international documents (“Convention on the Rights of Persons with Disabilities”, “Convention on the Rights of the Child”, “Convention on the Elimination of All Forms of Discrimination against Women”, “Declaration on the Rights of Indigenous Peoples”, “Universal Declaration of Human Rights”, “International Convention on the Elimination of All Forms of Racial Discrimination”, “UN Framework Convention on Climate Change”, “transforming our world: the 2030 agenda for sustainable development” and “UN flagship report on disability and development Realizing the Sustainable Development Goals by, for and with persons with disabilities”; from now on called “the documents”). A scoping review using the academic databases SCOPUS, Web of Science, databases accessible under Compendex, and the databases accessible under EBSCO-HOST, coupled with a manifest hit-count coding approach was uses to answer five research questions: (1) Which terms, phrases, and measures of the ‘social’ are present in the literature searched (2) Which of the social issues flagged in the Convention on the Rights of Persons with Disabilities (CRPD) are present in the academic abstracts mentioning the other eight documents? (3) Which EDI frameworks, phrases and social groups covered under EDI are present in the literature covered. (4) Which technologies, science and technology governance terms and ethics fields are present in the literature covered? (5) Which health professions are mentioned in the literature covered? The results reveal vast gaps and opportunities to engage with the ‘social’ in relation to “the documents” covered for all five questions.
Comparison between Time- and Observation-Based Gaussian Process Regression Models for Global Horizontal Irradiance Forecasting
Authors: Gbémou Shab , Eynard Julien , Thil Stéphane , Grieu Stéphane
Published: October 2022

With the development of predictive management strategies for power distribution grids, reliable information on the expected photovoltaic power generation, which can be derived from forecasts of global horizontal irradiance (GHI), is needed. In recent years, machine learning techniques for GHI forecasting have proved to be superior to classical approaches. This work addresses the topic of multi-horizon forecasting of GHI using Gaussian process regression (GPR) and proposes an in-depth study on some open questions: should time or past GHI observations be chosen as input? What are the appropriate kernels in each case? Should the model be multi-horizon or horizon-specific? A comparison between time-based GPR models and observation-based GPR models is first made, along with a discussion on the best kernel to be chosen; a comparison between horizon-specific GPR models and multi-horizon GPR models is then conducted. The forecasting results obtained are also compared to those of the scaled persistence model. Four performance criteria and five forecast horizons (10 min, 1 h, 3 h, 5 h, and 24 h) are considered to thoroughly assess the forecasting results. It is observed that, when seeking multi-horizon models, using a quasiperiodic kernel and time as input is favored, while the best horizon-specific model uses an automatic relevance determination rational quadratic kernel and past GHI observations as input. Ultimately, the choice depends on the complexity and computational constraints of the application at hand.
Sustainability of a Given Ten-Week Motor Skills Training Program for Children with Developmental Coordination Disorder
Authors: Saidmamatov Orifjon , Sanjarbek Ko’palov , Vasconcelos Olga , Rodrigues Paula
Published: October 2022

The aim of this research was to determine the sustainability of a given ten-week motor skills training program for children with developmental coordination disorder (DCD). Children with DCD in four kindergartens in the Khorezm region of Uzbekistan were selected to take part in the study. Participants were 24 children between 4 and 6 years old (5.25 ± 0.13 years), assigned to an intervention group (IG: 17 children; 10 boys) and a control group (CG: 7 children; 4 boys). The Movement Assessment Battery for Children (MABC-2) was used to assess motor competence pre-intervention, post-intervention, and retention test measurement after 18 months. The retention test results for the IG indicated a decline in all three motor domains of MABC-2. Despite this, the results that were acquired during the retention test came out to be better than the results that were achieved during the pre-test. At the same time, children who were allocated to the CG maintained their performance. The findings suggest that a preschool-based motor skill training program has the potential to increase motor skills in children with DCD. However, the positive benefits produced by the intervention may decrease over the course of time if the intervention is not continued.
Snooker Statistics and Zipf’s Law
Authors: Hordijk Wim
Published: October 2022

Zipf’s law is well known in linguistics: the frequency of a word is inversely proportional to its rank. This is a special case of a more general power law, a common phenomenon in many kinds of real-world statistical data. Here, it is shown that snooker statistics also follow such a mathematical pattern, but with varying parameter values. Two types of rankings (prize money earned and centuries scored), and three different time frames (all-time, decade, and year) are considered. The results indicate that the power law parameter values depend on the type of ranking used, as well as the time frame considered. Furthermore, in some cases, the resulting parameter values vary significantly over time, for which a plausible explanation is provided. Finally, it is shown how individual rankings can be described somewhat more accurately using a log-normal distribution, but that the overall conclusions derived from the power law analysis remain valid.
Intelligent Adaptive Optimisation Method for Enhancement of Information Security in IoT-Enabled Environments
Authors: Singh Shailendra Pratap , Alotaibi Youseef , Kumar Gyanendra , Rawat Sur Singh
Published: October 2022

The usage of the Internet increased dramatically during the start of the twenty-first century, entangling the system with a variety of services, including social media and e-commerce. These systems begin producing a large volume of data that has to be secured and safeguarded from unauthorised users and devices. In order to safeguard the information of the cyber world, this research suggests an expanded form of differential evolution (DE) employing an intelligent mutation operator with an optimisation-based design. It combines a novel mutation technique with DE to increase the diversity of potential solutions. The new intelligent mutation operator improves the security, privacy, integrity, and authenticity of the information system by identifying harmful requests and responses and helping to defend the system against assault. When implemented on an e-commerce application, the performance of the suggested technique is assessed in terms of confidentiality, integrity, authentication, and availability. The experimental findings show that the suggested strategy outperforms the most recent evolutionary algorithm (EA).
Land, Water, and Climate Issues in Large and Megacities under the Lens of Nuclear Science: An Approach for Achieving Sustainable Development Goal (SDG11)
Authors: Rodrigues Elaine Aparecida , Ferreira Maurício Lamano , de Carvalho Amanda Rodrigues , Bustillos José Oscar William Vega , Victor Rodrigo Antonio Braga Moraes , Sodré Marcelo Gomes , de Andrade Delvonei Alves
Published: October 2022

Nuclear science and technology (NST) offers a multitude of applications and tools and has a high level of regulation. However, its contribution to the achievement of global development goals is still incipient. Although its application is directly related to many fields, especially sustainability, the current literature does not relate it to socio-environmental issues, hindering the adoption of public policies based on isotopic and nuclear solutions. In large and megacities, the promotion of human well-being and the conservation of ecosystems are urgent global challenges, especially as a function of the growing expansion of land use modification, water scarcity, and climate change. The relationship between society and NST is addressed in this study, which aims to show how and in what ways the emerging and innovative nuclear and isotopic solutions contribute to the urban dimension of the United Nations 2030 Agenda, expressed by SDG 11 (Sustainable Cities and Communities), and its connection to land, water, and climate change in cities. This gap in knowledge compromises the targeting of resources to improve NST as a development strategy. Demystifying NST and increasing collaboration between ecosystem services and other issues related to sustainability in cities are key to implementing global development policies, especially at the local governance level.
Proposal of New Construction Material: Polymer-Stabilized Gold Ore Tailings Composite
Authors: Alelvan Giovanna Monique , Ferreira José Wilson dos Santos , Casagrande Michéle Dal Toé , Consoli Nilo Cesar
Published: October 2022

Recent events involving the rupture of tailings dams in Brazil have motivated the search for alternatives to incorporate the material into the production chain. At the same time, the consumption of raw materials by the civil construction sector is high, requiring the incorporation of alternative materials to achieve sustainable development. Thus, this paper proposes a new construction material based on the mechanical and microstructural behavior of polymer-stabilized and fiber-reinforced gold ore tailings composites. Unconfined Compressive Strength tests were performed on different polymer contents (6% and 9%), dry unit weights (1.7 g/cm³ and 1.8 g/cm³), and curing periods (7 and 28 days), according to 2K Experimental Design. Microstructural tests were performed using X-ray Diffraction, X-ray Fluorescence Spectrometry, Optical Microscopy, Scanning Electron Microscopy, and X-ray Micro-Computed Tomography. The results demonstrate that adding polymer increased tailings’ mechanical behaviors by forming packages with the lamellar particle, which was observed in microstructural tests. The polymeric composites’ brittle behavior was improved using fiber insertion, leading to an increase of the strain energy absorption capacity. The polymer-stabilized and fiber-reinforced gold ore tailings composites demonstrated its potential as a construction material, especially in landfill structures, tailings stockpiles, and paving base layers. The association of mechanical and microstructural analysis established a new understanding of the effect of the stabilizer and the reinforcement.
Forecast of Transportation CO2 Emissions in Shanghai under Multiple Scenarios
Authors: Zhu Liping , Li Zhizhong , Yang Xubiao , Zhang Yili , Li Hui
Published: October 2022

A reduction in CO2 emissions from transportation is of great significance to achieve the goal of “peak carbon and carbon neutrality” in China. For 2003–2019, this paper calculates the transportation CO2 emissions in Shanghai and constructs an extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model for forecasting. The result shows that from 2003 to 2019, total and per capita CO2 emissions from Shanghai’s transportation sector increased, but the rate of growth decreased. Oil consumption was the main source of emissions, accounting for more than 92%. The study extended the STIRPAT model to analyze the driving factors for emissions. It shows that population size, passenger turnover, per capita GDP, transportation intensity, and energy intensity are positively correlated with emissions. Energy structure (the proportion of clean energy) has a negative impact, restraining growth. Under multiple scenarios, the forecast shows that Shanghai’s transportation sector can reach a CO2 emissions peak before 2030. However, overgrowth of the transportation sector should be avoided. Progress in green and low-carbon technology is particularly important to achieve China’s peak carbon goal. Shanghai should actively build an efficient green transportation system, continue to optimize the transportation energy structure, and promote green and low-carbon travel for residents.
Understanding Shared Autonomous Vehicle Preferences: A Comparison between Shuttles, Buses, Ridesharing and Taxis
Authors: Chng Samuel , Anowar Sabreena , Cheah Lynette
Published: October 2022

Shared autonomous vehicles (AVs) will soon be introduced in public transportation as cities and their transportation systems become ‘smarter’. This brings long-term environmental, economic and societal benefits to cities. However, shared AVs will not only need to overcome technological challenges but also prevail against social barriers for successful marketplace penetration. Hence, we proposed and investigated the acceptance of four shared AV service designs for public use in this study, namely, autonomous buses, shuttles, AV rideshares and autonomous or robo-taxis. An online survey conducted in Singapore with 734 adults found the greatest receptiveness toward the introduction of autonomous shuttles, in part due to perceptions that they will perform well and be easy to adopt. This aligns with ongoing shared AV trials where AV shuttles are mostly used. Larger autonomous buses had the second-highest acceptance. AV rideshares and taxis seem to largely appeal to the existing regular users of the conventional counterparts of these services. These results suggest that to encourage a mode switch from public transport to ridesharing and taxis, or vice versa, shared AVs need to appeal to users beyond being an automated version of existing modes. That is, shared AVs need to address an underserved or unmet transportation need or population.
Response of Winter Wheat Production to Climate Change in Ziway Lake Basin
Authors: Hordofa Aster Tesfaye , Leta Olkeba Tolessa , Alamirew Tena , Chukalla Abebe Demissie
Published: October 2022

The crop production and limited freshwater resources in the Central Rift Valley (CRV) Lake Basin of Ethiopia have been facing pressure from warmer and drier climates. Thus, irrigation with the goal of increasing water use efficiency and the productivity of rainfed agriculture is vital to address climate effects, water scarcity, and food security. This study is aimed at assessing the sustainability of winter wheat production under climate change, and irrigation as an adaptation measure to improve yield, crop water productivity (CWP), and irrigation water productivity (IWP) in the CRV of Ethiopia. AquaCrop is applied to evaluate the effects of climate change and simulate irrigation as an adaptation measure. The analysis covers the baseline (1981–2020) and future (2026–2095) periods with each period categorized into three rainfall years (wet, normal, and dry). The future period is described using two representatives’ concentration pathways (RCP4.5 and PCP8.5) scenarios. The results under rainfed and future climate conditions show that the winter wheat yield and CWP are projected to be lowered as compared to the baseline period. Most importantly, a significant reduction in wheat yield and CWP is noticed during the dry years (−60% and −80%) compared to the wet years (−30% and −51%) and normal years (−18% and −30%), respectively. As compared to rainfed agriculture, irrigation significantly reduces the risk of wheat yield decline and improves the CWP. Irrigation is also able to improve the CWP of rainfed wheat production ranging from 0.98–1.4 kg/m3 to 1.48–1.56 kg/m3. A projected CWP improvement of 1.1–1.32 kg/m3 under irrigation is possible from 0.87–1.1 kg/m3 under rainfed conditions. The study concludes that optimizing irrigation as a climate-change-adapting strategy in the CRV has a more pronounced positive impact to the rainfed production system, especially for the dry and normal years.
An Effective Secured Dynamic Network-Aware Multi-Objective Cuckoo Search Optimization for Live VM Migration in Sustainable Data Centers
Authors: Venkata Subramanian N. , Shankar Sriram V. S.
Published: October 2022

With the increasing use of cloud computing by organizations, cloud data centers are proliferating to meet customers’ demands and host various applications using virtual machines installed in physical servers. Through Live Virtual Machine Migration (LVMM) methods, cloud service providers can provide improved computing capabilities for server consolidation maintenance of systems and potential power savings through a reduction in the distribution process to customers. However, Live Virtual Machine Migration has its challenges when choosing the best network path for maximizing the efficiency of resources, reducing consumption, and providing security. Most research has focused on the load balancing of resources and the reduction in energy consumption; however, they could not provide secure and optimal resource utilization. A framework has been created for sustainable data centers that pick the most secure and optimal dynamic network path using an intelligent metaheuristic algorithm, namely, the Network-aware Dynamic multi-objective Cuckoo Search algorithm (NDCS). The developed hybrid movement strategy enhances the search capability by expanding the search space and adopting a combined risk score estimation of each physical machine (PM) as a fitness criterion for ensuring security with rapid convergence compared to the existing strategies. The proposed method was assessed using the Google cluster dataset to ascertain its worthiness. The experimental results show the supremacy of the proposed method over existing methods by ensuring services with a lower total migration time, lower energy consumption, less makespan time, and secure optimum resource utilization.
Perception of Healthy Organizational Practices of Workers in the Chilean Educational Sector and Impact on Their Levels of Engagement and Burnout
Authors: Ganga-Contreras Francisco , Acuña-Hormazábal Alvaro , Ceballos-Garrido Paulina , Pons-Peregort Olga , Araya-Castillo Luis
Published: October 2022

Even before the COVID-19 pandemic, teaching was considered one of the most stressful occupations, one that could provoke burnout in workers. Continuing to provide educational services despite the pandemic and the new methodologies was a challenge for teachers that demonstrated their engagement in their work. This research, from the model of healthy and resilient organizations (HERO), aimed to assess the perception of healthy organizational practices (HOP) of teachers of an educational institution during the years 2020 and 2021 and the impact they have on their levels of engagement and burnout. Through the application of three instruments, 154 responses were obtained. The data were analyzed through correlations and mean comparisons. The main results show that in 2020, the correlations between HOP with engagement and burnout were positive and negative, respectively, as expected. In 2021, the perception of HOP decreased, as did teacher engagement, while burnout increased. In conclusion, the findings suggest that HOP can become a sustainable human resource management tool that promotes teachers’ mental health, even in challenging times.
Review of Publications on the Water-Energy-Food Nexus and Climate Change Adaptation Using Bibliometric Analysis: A Case Study of Africa
Authors: Adeola Omolola M. , Ramoelo Abel , Mantlana Brian , Mokotedi Oscar , Silwana Wongalethu , Tsele Philemon
Published: October 2022

Access to clean water, reliable energy services and adequate food supply are basic needs for life and contribute to the reduction of national and global levels of human poverty and forced migration. This study concentrated on reviewing progress made in understanding the relationship between the Water-Energy-Food (WEF) nexus and climate change adaptation, using Africa as a case study. The method used to achieve this objective was the bibliometric analysis, covering the period from 1980–2021. Data used for this study were acquired from the Web of Science (WoS) and Scopus databases. Initially, 95 documents were retrieved from the WoS and Scopus core collection databases, but 30 duplicates were removed, and 65 documents were used. The outputs were further analysed using the bibliometric R package and VOS viewer. Analysis of the top 100 keywords in the 65 publications that link WEF nexus with climate change adaptation for Africa showed that 46 keywords fall under the application of WEF nexus, 31 keywords under the implementation of WEF nexus and 23 keywords under the implication of WEF nexus. Researchers from countries around the world have published the WEF nexus work undertaken on the African continent. Countries with the highest number of publications were South Africa, the United Kingdom, the United States of America, Germany, Kenya and Zimbabwe. Thematic analysis was used to explore the conceptual structure of WEF publications, and it produced four themes: (i) well-established concepts appropriate for structuring the conceptual framework of the field of WEF nexus in Africa; (ii) strongly developed concepts but still marginal for the field of WEF nexus in Africa; (iii) not fully developed or marginally interesting concepts for the field of WEF nexus in Africa, and (iv) significant cross-cutting concepts in the field of WEF nexus in Africa in relation to climate change adaptation. This study contributes to the growing body of literature on the WEF nexus by pointing out dominant themes from those that are still emerging in the scholarly work done in Africa.
The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function
Authors: He Yunzhu
Published: October 2022

To analyze the differences in the optimal urban scale of a country, a government, and residents under different urban development goals and to provide a reference for urban development, an urban development model is constructed based on the constant elasticity of substitution (CES) utility function. The objective function includes four indicators: the economic level, the traffic level, environmental quality, and living conditions. The urban development model is constructed by integrating an urban road planning model, bus route planning model, land use model, and four-stage traffic sharing and traffic allocation model. Based on the setting of different development goals, this model is used to calculate the urban utility value perceived by each stakeholder at different urban scales. Through comparative analysis, we determine the following: (1) When the urban development goals are different, the optimal urban scale of residents and the government differs greatly, and the optimal scale of the country differs very little. (2) When facing the same development goal, the optimal urban scales of the three stakeholders are not the same. However, the three stakeholders are closely related to urban development. Therefore, the selection of the optimal urban scale should comprehensively consider the interests of the three stakeholders.