bluuebunny/crossref_metadata_2025 huggingface dataset:
Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint
Authors: Wen Lekang , He Jun , Huang Xu
Published: June 2023

Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses. However, several factors limit the segmentation accuracy, such as the complexity of mountains, the noise of geospatial data, and the confusion in distinguishing non-mountainous objects with similar features. In order to improve the accuracy of mountain segmentation against these limiting factors, we impose the cloth constraint over the digital elevation model (DEM) with the underlying assumption that the mountain has a sizeable relative elevation and slope. We propose a robust mountain segmentation method with the cloth simulation constraint. The core algorithm extracts the relative elevation of the region using a cloth simulation filtering algorithm by transforming the mountain segmentation problem into an optimization problem based on the global energy function consisting of the relative elevation and slope. Experiments on a wide range of Earth and lunar elevation datasets with some of the aforementioned limitations show that the proposed method can extract complex mountain baselines, avoid the misclassification of lunar craters, and significantly improve the robustness and accuracy of mountain segmentation. Compared to three state-of-the-art methods (the Lunar Mountain Detection Method, the Landform Mask Method in SNAP™ from European Space Agency (located in Paris, France), and the Multiscale Segmentation Method in eCognition™ from Definiens Imaging (located in Munich, Germany), the F1 and IoU improved by 14.70% and 20.46% on average and 29.07% and 38.94% at most, respectively, which validates that the proposed method has a better all-around performance.
Measurements of the Thickness and Area of Thick Oil Slicks Using Ultrasonic and Image Processing Methods
Authors: Du Hualong , Fan Huijie , Zhang Qifeng , Li Shuo
Published: June 2023

The in situ measurement of thick oil slick thickness (>0.5 mm) and area in real time in order to estimate the volume of an oil spill is very important for determining the oil spill response strategy and evaluating the oil spill disposal efficiency. In this article, a method is proposed to assess the volume of oil slicks by simultaneously measuring the thick oil slick thickness and area using ultrasonic inspection and image processing methods, respectively. A remotely operated vehicle (ROV), integrating two ultrasonic immersion transducers, was implemented as a platform to receive ultrasonic reflections from an oil slick. The oil slick thickness was determined by multiplying the speed of sound by the ultrasonic traveling time within the oil slick, which was calculated using the cross-correlation method. Images of the oil slick were captured by an optical camera using an airborne drone. The oil slick area was calculated by conducting image processing on images of the oil slick using the proposed image processing algorithms. Multiple measurements were performed to verify the proposed method in the laboratory experiments. The results show that the thickness, area and volume of a thick oil slick can be accurately measured with the proposed method. The method could potentially be used as an applicable tool for measuring the volume of an oil slick during an oil spill response.
ECOSTRESS Reveals the Importance of Topography and Forest Structure for Evapotranspiration from a Tropical Forest Region of the Andes
Authors: Valdés-Uribe Alejandra , Hölscher Dirk , Röll Alexander
Published: June 2023

Tropical forests are major sources of global terrestrial evapotranspiration (ET), but these heterogeneous landscapes pose a challenge for continuous estimates of ET, so few studies are conducted, and observation gaps persist. New spaceborne products such as ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) are promising tools for closing such observation gaps in understudied tropical areas. Using ECOSTRESS ET data across a large, protected tropical forest region (2250 km2) situated on the western slope of the Andes, we predicted ET for different days. ET was modeled using a random forest approach, following best practice workflows for spatial predictions. We used a set of topographic, meteorological, and forest structure variables from open-source products such as GEDI, PROBA-V, and ERA5, thereby avoiding any variables included in the ECOSTRESS L3 algorithm. The models indicated a high level of accuracy in the spatially explicit prediction of ET across different locations, with an r2 of 0.61 to 0.74. Across all models, no single predictor was dominant, and five variables explained 60% of the models’ results, thus highlighting the complex relationships among predictor variables and their influence on ET spatial predictions in tropical mountain forests. The leaf area index, a forest structure variable, was among the three variables with the highest individual contributions to the prediction of ET on all days studied, along with the topographic variables of elevation and aspect. We conclude that ET can be predicted well with a random forest approach, which could potentially contribute to closing the observation gaps in tropical regions, and that a combination of topography and forest structure variables plays a key role in predicting ET in a forest on the western slope of the Andes.
Estimating Surface Concentrations of Calanus finmarchicus Using Standardised Satellite-Derived Enhanced RGB Imagery
Authors: McCarry Cait L. , Basedow Sünnje L. , Davies Emlyn J. , McKee David
Published: June 2023

Calanus finmarchicus is a keystone zooplankton species that is commercially harvested and is critical in sustaining many important fisheries in the North Atlantic. However, due to their patchy population distributions, they are notoriously difficult to map using traditional ship-based techniques. This study involves the use of a combined approach of standardized ocean colour imagery and radiative transfer modelling to identify reflectance anomalies potentially caused by surface swarms of C. finmarchicus in the northern Norwegian Sea. Here, we have standardized satellite eRGB imagery that depicts a distinct ‘red’ patch, which coincides with in situ measurements of high surface concentrations of C. finmarchicus. Anomaly mapping using a novel colour matching technique shows a high degree of anomaly within this patch compared to the surrounding waters, indicating the presence of something other than the standard bio-optical model constituents influencing the optics of the water column. Optical closure between modelled and satellite-derived reflectance signals is achieved (and the anomaly is significantly reduced) through the addition of C. finmarchicus absorption into the model. Estimations of the surface concentrations of C. finmarchicus suggest between 80,000 and 150,000 individuals m−3 within the extent of the identified red patch. Furthermore, analysis of the impact of C. finmarchicus absorption on the OC3M algorithm performance points to the potential for the algorithm to over-estimate chlorophyll concentrations if C. finmarchicus populations are present in the surface waters.
DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents
Authors: Farooq Hamza , Altaf Ayesha , Iqbal Faiza , Galán Juan Castanedo , Aray Daniel Gavilanes , Ashraf Imran
Published: June 2023

Traffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization’s 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents. Current methods to assess driver alcohol consumption are vulnerable to network risks, such as data corruption, identity theft, and man-in-the-middle attacks. In addition, these systems are subject to security restrictions that have been largely overlooked in earlier research focused on driver information. This study intends to develop a platform that combines the Internet of Things (IoT) with blockchain technology in order to address these concerns and improve the security of user data. In this work, we present a device- and blockchain-based dashboard solution for a centralized police monitoring account. The equipment is responsible for determining the driver’s impairment level by monitoring the driver’s blood alcohol concentration (BAC) and the stability of the vehicle. At predetermined times, integrated blockchain transactions are executed, transmitting data straight to the central police account. This eliminates the need for a central server, ensuring the immutability of data and the existence of blockchain transactions that are independent of any central authority. Our system delivers scalability, compatibility, and faster execution times by adopting this approach. Through comparative research, we have identified a significant increase in the need for security measures in relevant scenarios, highlighting the importance of our suggested model.
Performance Analysis of Routable GOOSE Security Algorithm for Substation Communication through Public Internet Network
Authors: Shin Soohyun , Yang Hyosik
Published: June 2023

Traditional unidirectional power systems that produce large-scale electricity and supply it using an ultra-high voltage power grid are changing globally to increase efficiency. Current substations’ protection relays rely only on internal substation data, where they are located, to detect changes. However, to more accurately detect changes in the system, various data from several external substations, including micro-grids, are required. As such, communication technology regarding data acquisition has become an essential function for next-generation substations. Data aggregators that use the GOOSE protocol to collect data inside substations in real-time have been developed, but data acquisition from external substations is challenging in terms of cost and security, so only internal substation data are used. This paper proposes the acquisition of data from external substations by applying security to R-GOOSE, defined in the IEC 61850 standard, over a public internet network. This paper also develops a data aggregator based on R-GOOSE, showing data acquisition results.
Glassy Carbon Electrode Modified with CB/TiO2 Layer for Sensitive Determination of Sumatriptan by Means of Voltammetry and Flow Injection Analysis
Authors: Smajdor Joanna , Paczosa-Bator Beata , Grabarczyk Małgorzata , Piech Robert
Published: June 2023

Sumatriptan is an organic chemical compound from the tryptamine group. It is used as a medicine for migraine attacks and in the treatment of cluster headaches. In this work, a new voltammetric method is proposed for highly sensitive SUM determination, using glassy carbon electrodes modified with carbon black and titanium dioxide suspension. The novelty of the presented work is the usage of the mixture of carbon black and TiO2 as glassy carbon electrode modifier for the first time for SUM determination. The mentioned sensor was characterized by great repeatability and sensitivity of measurements, which resulted in the obtention of a wide range of linearity and a low detection limit. The electrochemical properties of the CB-TiO2/GC sensor was characterized using the LSV and EIS method. The effect of different factors on the SUM peak, such as supporting electrolyte type, preconcentration time and potential, or influence of interferents, were tested using the square wave voltammetry technique. The linear voltammetric response for the analyte was obtained in the concentration range of 5 nmol L−1 to 150 μmol L−1 with a detection limit of 2.9 nmol L−1 for a preconcentration time of 150 s in the 0.1 mol L−1 phosphate buffer pH 6.0. The proposed method was successfully applied for highly sensitive sumatriptan determination in complex matrices, such as tablets, urine, and plasma, with a good recovery parameter (94–105%). The presented CB-TiO2/GC electrode is characterized by great stability, it was used for 6 weeks without significant changes in the SUM peak current. Amperometric and voltammetric measurements of SUM under the flow injection conditions were also performed to indicate the possibility of its fast and accurate determination with a time of single analysis of approx. 30 s.
Shaking Device for Homogeneous Dispersion of Magnetic Beads in Droplet Microfluidics
Authors: Poles Maria , Meggiolaro Alessio , Cremaschini Sebastian , Marinello Filippo , Filippi Daniele , Pierno Matteo , Mistura Giampaolo , Ferraro Davide
Published: June 2023

Magnetic beads (or particles) having a size between 1 and 5 µm are largely used in many biochemical assays devoted to both purification and quantification of cells, nucleic acids, or proteins. Unfortunately, the use of these beads within microfluidic devices suffers from natural precipitation because of their size and density. The strategies applied thus far to cells or polymeric particles cannot be extended to magnetic beads, mainly due to their magnetization and their higher densities. We report an effective shaking device capable of preventing the sedimentation of beads that are stored in a custom PCR tube. After the characterization of the operating principle, the device is validated for magnetic beads in droplets, leading to an equal distribution between the droplets, barely affecting their generation.
Ultra-Scaled Si Nanowire Biosensors for Single DNA Molecule Detection
Authors: Afzalian Aryan , Flandre Denis
Published: June 2023

In this study, we use NEGF quantum transport simulations to study the fundamental detection limit of ultra-scaled Si nanowire FET (NWT) biosensors. A N-doped NWT is found to be more sensitive for negatively charged analytes as explained by the nature of the detection mechanism. Our results predict threshold voltage shifts due to a single-charge analyte of tens to hundreds of mV in air or low-ionic solutions. However, with typical ionic solutions and SAM conditions, the sensitivity rapidly drops to the mV/q range. Our results are then extended to the detection of a single 20-base-long DNA molecule in solution. The impact of front- and/or back-gate biasing on the sensitivity and limit of detection is studied and a signal-to-noise ratio of 10 is predicted. Opportunities and challenges to reach down to single-analyte detection in such systems are also discussed, including the ionic and oxide-solution interface-charge screening and ways to recover unscreened sensitivities.
Fidelity Assessment of Motion Platform Cueing: Comparison of Driving Behavior under Various Motion Levels
Authors: El hamdani Sara , Bouchner Petr , Kunclova Tereza , Toman Přemysl , Svoboda Josef , Novotný Stanislav
Published: June 2023

The present paper focuses on vehicle simulator fidelity, particularly the effect of motion cues intensity on driver performance. The 6-DOF motion platform was used in the experiment; however, we mainly focused on one characteristic of driving behavior. The braking performance of 24 participants in a car simulator was recorded and analyzed. The experiment scenario was composed of acceleration to 120 km/h followed by smooth deceleration to a stop line with prior warning signs at distances of 240, 160, and 80 m to the finish line. To assess the effect of the motion cues, each driver performed the run three times with different motion platform settings–no motion, moderate motion, and maximal possible response and range. The results from the driving simulator were compared with data acquired in an equivalent driving scenario performed in real conditions on a polygon track and taken as reference data. The driving simulator and real car accelerations were recorded using the Xsens MTi-G sensor. The outcomes confirmed the hypothesis that driving with a higher level of motion cues in the driving simulator brought more natural braking behavior of the experimental drivers, better correlated with the real car driving test data, although exceptions were found.
Detection of Gas Pipeline Leakage Using Distributed Optical Fiber Sensors: Multi-Physics Analysis of Leakage-Fiber Coupling Mechanism in Soil Environment
Authors: Zhang Shuyu , Xie Shangran , Li Yuanzhi , Yuan Mengqi , Qian Xinming
Published: June 2023

Optical fiber sensors are newly established gas pipeline leakage monitoring technologies with advantages, including high detection sensitivity to weak leaks and suitability for harsh environments. This work presents a systematic numerical study on the multi-physics propagation and coupling process of the leakage-included stress wave to the fiber under test (FUT) through the soil layer. The results indicate that the transmitted pressure amplitude (hence the axial stress acted on FUT) and the frequency response of the transient strain signal strongly depends on the types of soil. Furthermore, it is found that soil with a higher viscous resistance is more favorable to the propagation of spherical stress waves, allowing FUT to be installed at a longer distance from the pipeline, given the sensor detection limit. By setting the detection limit of the distributed acoustic sensor to 1 nε, the feasible range between FUT and the pipeline for clay, loamy soil and silty sand is numerically determined. The gas-leakage-included temperature variation by the Joule-Thomson effect is also analyzed. Results provide a quantitative criterion on the installation condition of distributed fiber sensors buried in soil for the great-demanding gas pipeline leakage monitoring applications.
Sex Workers’ Online Humor as Evidence of Resilience
Authors: Easterbrook-Smith Gwyn
Published: June 2023

Sex workers’ humor has received comparatively little attention in the literature to date, and work that does consider this phenomenon focuses on humor in face-to-face contexts. Increasingly, elements of sex workers’ labor and community building take place online. This article examines the emergence of sex work humor in online spaces, considering how this humor provides evidence of resilience within this community. The article uses a critical discourse analysis approach blended with a cultural studies lens to examine 171 discrete texts drawn from sex work communities in Australia and New Zealand. These include social media postings from peer-led organizations and correspondence between sex workers and their clients, which was profiled in news media during the COVID-19 lockdowns. The humor evident within these texts falls into three major categories: humor about clients; humor as a mechanism of discussing stigma and discrimination; and humor as an agent of activism and social change. The findings indicate that humor can be evidence of resilience among sex-working communities, that it is politically productive and effective from a communications perspective, and present the possibility that it may also contribute to resilience. The presence of humor in online sex work spaces of sociality further highlights the importance of these spaces for community building, and draws attention to additional harms created by deplatforming.
E-Government—The Inclusive Way for the Future of Digital Citizenship
Authors: Tokovska Miroslava , Ferreira Vanessa Nolasco , Vallušova Anna , Seberíni Andrea
Published: June 2023

eGovernment brings administration closer to its citizens and entrepreneurs, speeding up, facilitating, and increasing the transparency of administrative actions, consequently saving time and money and increasing efficiency. The study aims to explore the digital divide and digital citizenship in eGovernment usage in Slovakia and Norway according to their national statistics. The study adopted quantitative secondary data from Eurostat’s individual-level database, originating from the questionnaire ‘Information and Communications Technology (ICT) use in households and by individuals’. The analysis was applied to Norwegian and Slovak data from 2021, and the research sample consists of 2145 observations from Norway and 3252 observations from Slovakia. The results show that being a beneficiary of eGovernment services aligns with sociodemographic variables to a lower extent in Norway than in Slovakia. In Slovakia, the usage of the services varies not only according to the education of the user but also according to income, even if an individual has access to the Internet and sufficient skills. Due to the high level of development, and especially the inclusive nature of eGovernment, the Norwegian approach with the implementation of electronic identification (eID), digital mailbox, contact information, Altinn, and public common registers could serve as a benchmark for the further development of public digital services—not only in Slovakia but also for other countries. The conclusion shows that there is less inequity in the possibility to use eGovernment within individual social groups in Norway than in Slovakia. Norway manifests and emplaces strategies to guarantee critical judgment, ensuring the use of digital tools with safety. Slovakia, with lower levels of digital service users, tends to experience higher levels of digital divide which make the situation with eGovernment penetration even more difficult.
Effect of Pyrolysis Treatment on Phosphorus Migration and Transformation of Pig, Cow and Sheep Manure
Authors: Liu Fen , Xiao Zhihua , Fang Jun , Li Hao
Published: June 2023

Pig, cow, and sheep manure (PM, CM, and SM) are inevitable byproducts of agricultural economic development. Converting them into high add-on value biochar (PMB, CMB, and SMB) via pyrolysis is an efficient resource utilization measure. Phosphorus (P) speciation analyses help ensure the practical feasibility of the P reclamation of animal manure and their derived biochar and a reduction in environmental risk. This study conducted a modified extraction procedure to separate five inorganic P (IP) (soluble and loosely bound IP, aluminum-bound IP, Fe-bound IP, oxide-occluded IP, and Ca-bound IP) and organic P (OP) speciations, and combined X-ray diffraction (XRD) to investigate the major phosphate compound in the derived biochar after pyrolysis. Results revealed that more than 92% of P is concentrated in the derived biochar during pyrolysis processes carried out at 200–800 °C. The percentages of soluble and loosely bound IP, aluminum-bound IP, and OP in manure decreased significantly due to their transformation into more stable P fractions such as Ca-bound IP (79.01% in PMB, 800 °C) after pyrolysis. The Olsen-P percentages had a distinct reduction at 650 °C, indicating that pyrolysis at 650 °C was the optimal condition for the reduction in Olsen-P in manure.
Effect of Fines Content on Pore Distribution of Sand/Clay Composite Soil
Authors: Wang Mingqiang , Chen Pan , Yi Panpan , Ma Tiantian
Published: June 2023

Plant sand fixation is the most durable and environmentally friendly sand mitigation measure for windblown sand hazards. For aeolian–sand composite soil, the fines content is the main factor affecting the pore size distribution characteristics and determines the soil water retention characteristics. Sandy soil with uniform particle size was used as the material, low-plasticity clay as a fine particle, and composite soils with different fines content were prepared. The evolution of the pore size distribution of composite soils was quantitatively determined using low-field nuclear magnetic resonance technology, and the influence of the fines content on the pore size distribution was obtained. The results show that as the fines content increases, the pore size first increases and then decreases. The pore size distribution curve gradually changes from a single-peak structure to a double-peak structure and becomes a unimodal structure again. The corresponding dominant pore size of composite soils increases first and then decreases with the increase in the fines content. A critical fine particle content is identified to control the strong local honeycomb pore structure of composite soils, which provides a theoretical basis for the material selection and design of plant sand fixation measures.
A General Framework for the Impact of Shield Tunnel Construction on Existing Tunnel in Soil
Authors: Wang Pingrang , Wu Junhao , Song Danqing , Zhang Mingfei
Published: June 2023

During the excavation process of shield tunneling, it is inevitable that the surrounding soil mass is disturbed, which will affect the adjacent structures. This paper proposes a general framework for the impact of shield tunneling construction on existing tunnels. First, the impact partition of shield tunneling construction regarding adjacent tunnels and buildings is established by a three-dimensional numerical analysis method. Then, the displacement of adjacent tunnels and buildings is predicted using fuzzy gray theory. Finally, based on the results of a numerical simulation and experiment, the risk classification standard of adjacent buildings is established. This framework has certain reference significance and value for the deformation prediction and safety evaluation of adjacent buildings.
Model-Based Reinforcement Learning Method for Microgrid Optimization Scheduling
Authors: Yao Jinke , Xu Jiachen , Zhang Ning , Guan Yajuan
Published: June 2023

Due to the uncertainty and randomness of clean energy, microgrid operation is often prone to instability, which requires the implementation of a robust and adaptive optimization scheduling method. In this paper, a model-based reinforcement learning algorithm is applied to the optimal scheduling problem of microgrids. During the training process, the current learned networks are used to assist Monte Carlo Tree Search (MCTS) in completing game history accumulation, and updating the learning network parameters to obtain optimal microgrid scheduling strategies and a simulated environmental dynamics model. We establish a microgrid environment simulator that includes Heating Ventilation Air Conditioning (HVAC) systems, Photovoltaic (PV) systems, and Energy Storage (ES) systems for simulation. The simulation results show that the operation of microgrids in both islanded and connected modes does not affect the training effectiveness of the algorithm. After 200 training steps, the algorithm can avoid the punishment of exceeding the red line of the bus voltage, and after 800 training steps, the training result converges and the loss values of the value and reward network converge to 0, showing good effectiveness. This proves that the algorithm proposed in this paper can be applied to the optimization scheduling problem of microgrids.
Treatment Performance of Municipal Sewage in a Submerged Membrane Bioreactor (SMBR) and Mechanism of Biochar to Reduce Membrane Fouling
Authors: Jiang Jianying , Guo Junyuan
Published: June 2023

Submerged membrane bioreactors (SMBRs) are a promising technology for municipal sewage treatment, but membrane fouling has limited their development. In this study, biochar (BC), which has a certain adsorption capacity, was added to an SMBR to investigate its potential in treating municipal sewage and alleviating membrane fouling. The results showed that the average removal rates of ammonia nitrogen (NH4+-N), total nitrogen (TN), total phosphorus (TP) and chemical oxygen demand (COD) were 94.38%, 59.01%, 44.15% and 83.70%, respectively. After BC was added and operation was stable, the ratio of mixed liquor volatile suspended solids to mixed liquor suspended solids (MLVSS/MLSS) was maintained between 0.78 and 0.81. The concentrations of soluble microbial products (SMPs) and extracellular polymeric substances (EPSs) were stabilized between 63.05 ± 8.49 mg/L and 67.12 ± 1.54 mg/L. Trans-membrane pressure (TMP) and scanning electron microscopy (SEM) analyses showed that BC reduced the TMP by reducing the thickness and compactness of the cake layer on the membrane surface. The high-throughput sequencing results showed that the microorganisms associated with biofilm formation (proteobacteria, γ-proteobacteria and α-proteobacteria) were significantly reduced in the BC-enhanced SMBR system. BC promoted the enrichment of functional microorganisms such as Chloroflexi, Acidobacteriota, Anaerolineae and Planctomycetes. Compared with traditional anti-fouling methods, the results of this study may provide a low-cost membrane fouling mitigation method for industrial applications of SMBRs.
Multicriteria Health and Safety Risk Assessments in Highway Construction Projects
Authors: Koulinas Georgios K. , Demesouka Olympia E. , Marhavilas Panagiotis K. , Orfanos Nikolaos I. , Koulouriotis Dimitrios E.
Published: June 2023

Road building sites are no exception to the fact that construction is one of the most dangerous businesses in the world. There are a number of concerns about the health and safety of the workers at these sites since they combine personnel, machinery, and construction equipment. The purpose of this paper is to determine, analyze, and compare the risks present at road building sites, and how they affect the health and safety of the workers. The study also examines workplace stress and psychosocial risk factors, which may have long-term effects on workers’ physical and mental health. To meet the goals of the research, risk evaluations for a specific construction project were carried out using the Analytic Hierarchy Process (AHP). Using the risk categories and risk factor hierarchy, the AHP compares data pairings. The skills, experience, judgments, and value system of the decision-makers were taken into account while deciding the amount of importance to give each criterion. The final risk rankings were established after calculating the overall priority numerically and running the necessary judgment consistency tests. The most significant risks to the health and safety of workers at road construction sites were identified by the study’s findings. The study additionally showed that psychosocial risk factors were important contributors to workplace stress and may have a negative impact on employees’ health and wellbeing. The results of the present study have important implications for risk management practices in the construction industry. Project managers can implement effective mitigation measures to reduce the likelihood and severity of accidents and injuries by identifying and evaluating the most critical risks associated with road construction sites. The findings also highlight the importance of addressing psychosocial risk factors and workplace stress in improving workers’ health and safety outcomes. Overall, this study underscores the need for a comprehensive approach to risk management that considers the diverse and complex factors contributing to construction site hazards.
Optimization of Energy Allocation Strategies in Spanish Collective Self-Consumption Photovoltaic Systems
Authors: Ogando-Martínez Ana , García-Santiago Xela , Díaz García Saúl , Echevarría Camarero Fernando , Blázquez Gil Gonzalo , Carrasco Ortega Pablo
Published: June 2023

Collective self-consumption (CSC) systems offer a great opportunity to increase the viability of photovoltaic installations by reducing costs and increasing profitability for consumers. In addition, CSC systems increase self-sufficiency (SS) and self-consumption (SC). These systems require a proper energy allocation strategy (EAS) to define the energy distribution within the CSC. However, most EASs do not analyze the individual impact of the rules and mechanisms adopted. Therefore, six different EASs are proposed and evaluated in terms of both collective and individual cost, SC, and SS. The results show that the EASs based on minimizing collective costs are the most beneficial for the community, although they imply an unfair distribution of energy among users. On the other hand, the other EASs proposed stand out for reaching an equilibrium in terms of cost, SS, and SC, although the collective profitability is lower. The best results are achieved considering dynamic coefficients, which are preferred over static ones.
Numerical Investigation of the Evolution of Gas and Coal Spontaneously Burned Composite Disaster in the Goaf of Steeply Inclined Coal Seam
Authors: Feng Xiaojun , Ai Zichuang , Zhang Xuebo , Wei Qilei , Du Chenjun , Zhang Qiming , Deng Chuan
Published: June 2023

As the coal mine gets deeper and the stopes’ structures become more complex, gas and coal spontaneously burned composite disaster seriously threatens the efficient operation of coal mines. To study the interaction process and disaster-causing mechanism of gas and coal spontaneous combustion (GCSC), this paper establishes a numerical model to study the influence of drilling location/pressure and N2 injection on the evolution of gas and coal spontaneously burned composite disaster in the goaf. The simulation shows that in the central part of the goaf, a combined area of gas and coal combustion poses a possibility of spontaneous combustion calamity, and the length of the compound disaster area is about 20 m. The methane (CH4) explosion zone and the dioxygen(O2) temperature rise zone do not overlap in the air entrance roadway and return air roadway, indicating that there is no risk of compound disasters. The optimal nitrogen (N2) injection rate for this working face is 2000 m3/h, and the N2 port should be located 25 m profound into the goaf, which can effectively drive the diffusion of N2 and narrow the O2 zone’s breadth. The findings have considerable engineering applications for revealing the evolution process, risk assessment and control for GCSC compound disasters in coal mines.
Digital Economy, Technological Innovation and Urban Resilience
Authors: Shi Yufang , Zhang Tianlun , Jiang Yufeng
Published: June 2023

As an emerging economic form, the digital economy is a crucial force in promoting high-quality economic development, resolving regional development incoherence, and improving the level of urban resilience. In this paper, the urban resilience indicator system is composed of four dimensions: social resilience, economic resilience, infrastructure resilience, and ecological resilience. Meanwhile, the digital economy indicator system is composed of five dimensions: Internet penetration rate, number of Internet-related employees, Internet-related output, number of mobile Internet users, and digital financial inclusion development. The development level was measured using the entropy value method and principal component analysis. On this basis, the impact of the digital economy on the urban resilience of 185 prefecture-level cities in China from 2011 to 2019 was analyzed using a benchmark regression model, spatial econometric model, and mediating effect model. This study shows the following: (1) The development of the digital economy has a positive impact on improving urban resilience. (2) The digital economy affects urban resilience with positive spatial spillover effects, and the temporal heterogeneity and heterogeneity of external openness levels are significant, while the regional heterogeneity is not significant. (3) The digital economy can improve urban resilience through the intermediary role of technological innovation. In the future, we should strengthen digital construction, deeply integrate the relationship between the digital economy, technological innovation, and urban resilience, give full play to the engine role of the digital economy, and further promote the enhancement of sustainable urban development.
Optimal Scheduling of Rainwater Collection Vehicles: Mixed Integer Programming and Genetic Algorithms
Authors: Alnahhal Mohammed , Gjeldum Nikola , Salah Bashir
Published: June 2023

Due to climate change, some areas in the world witnessed higher levels of heavy rain than the capacity of the wastewater system of the streets. Therefore, water tankers are used for the dewatering process to take the extra rainwater from the streets to keep a smooth flow of vehicles and to use the water in agriculture and industry. Water is taken to a water treatment plant. Performing the dewatering process as fast as possible, especially in crowded streets, was ignored by researchers. In this study, at first, the problem was solved using two mixed integer programming (MIP) models. A new variant of identical parallel machine scheduling with job splitting is proposed for the first time, where one or at most two tankers can work at the same flood location at the same time. This is performed in the second model. However, the first model considers dividing the dewatering processes into two phases, where the first one, which is more urgent, is to reduce the amount of floodwater. The second one is for dewatering the rest of the water. Then two genetic algorithms (GAs) were used to solve faster the two MIP models, which are NP-hard problems. At first, the MIP and GA models were applied to small-sized problems. Then GA was used for large practical data sets. Results showed that for small problems, MIP and GA gave optimal solutions in a reasonable number of iterations, while for larger problems, good solutions were obtained in a reasonable number of iterations.
Smart Geosynthetics and Prospects for Civil Infrastructure Monitoring: A Comprehensive and Critical Review
Authors: Abedi Mohammadmahdi , Fangueiro Raul , Correia António Gomes , Shayanfar Javad
Published: June 2023

Civil infrastructure monitoring with the aim of early damage detection and acquiring the data required for urban management not only prevents sudden infrastructure collapse and increases service life and sustainability but also facilitates the management of smart cities including smart transportation sectors. In this context, smart geosynthetics can act as vital arteries for extracting and transmitting information about the states of the strain, stress, damage, deformation, and temperature of the systems into which they are incorporated in addition to their traditional infrastructural roles. This paper reviews the wide range of technologies, manufacturing techniques and processes, materials, and methods that have been used to date to develop smart geosynthetics to provide rational arguments on the current trends and utilise the operational trends as a guide for predicting what can be focused on in future researches. The various multifunctional geosynthetic applications and future challenges, as well as operational solutions, are also discussed and propounded to pave the way for developing applicable smart geosynthetics. This critical review will provide insight into the development of new smart geosynthetics with the contribution to civil engineering and construction industries.
Non-Linear Impacts and Spatial Spillover of Digital Finance on Green Total Factor Productivity: An Empirical Study of Smart Cities in China
Authors: Yu Ying , Zhang Qian , Song Fan
Published: June 2023

Smart cities are important digital economy vehicles that can fully exploit the green attributes and spatial penetration of digital finance. Using panel data for 100 cities selected as pilot smart cities in China from 2011 to 2019, this paper applies a spatial econometric model to analyze the non-linear impacts of digital finance on GTFP and its spatial spillovers. Furthermore, it utilizes mediation models to study their transmission mechanisms. The results show that digital finance first inhibits and then promotes GTFP, with spatial spillovers in four dimensions: geography, information, technology, and human capital. Its mediating mechanisms are innovation effects, structural effects, and scale effects. The statistical significance of the U-shaped relationship is regionally heterogeneous, according to different levels of human capital, informatization, urbanization, and financial marketization. Based on digital finance’s U-shaped and heterogeneous impacts on GTFP, policy recommendations are to adopt differentiated development strategies according to specific levels of digital finance and underlying conditions in smart cities. Stimulating the innovation and structural effects and suppressing the scale effects will help digital finance breakthrough inflection points, and will positively promote GTFP. It is also necessary to encourage inter-regional cooperation among smart cities to fully release spatial spillover dividends through technology sharing, information transfer, and talent exchange to promote the linked improvement of GTFP.
Stiffness Characteristics and Analytical Model of a Flange Joint with a Spigot
Authors: Liu Hao , Wang Jianjun , Liu Yu , Wang Zhi , Long Yifu
Published: June 2023

Flange joints with spigots are widely used in aero-engines. The spigot will restrict the shear slipping between flanges, which, in turn, affects the stiffness characteristics of the joint. The current model and research on flange joints without spigots may not be suitable for the dynamic characteristics of aero-engines. Moreover, the complexity of contact pairs limits the application of the flange joint finite element (FE) model in aero-engine dynamics analysis. Therefore, a simplified analytical model of a flange joint with a spigot is proposed in this paper. First, the stiffness characteristic of the flange joint with a spigot is studied using the FE method. Second, a corresponding experiment is executed to verify the result of the FE analysis. Furthermore, based on the former FE and experimental analysis, one section of a flange joint is simulated by the Jenkins friction model and a spring. Then, a simplified analytical model of the entire flange joint is built according to the different statuses of each section. Finally, a simulation analysis of the stiffness characteristic is performed. The result shows that the simplified analytical model can be utilized to describe the bending stiffness characteristic of the flange joint with a spigot.
Novel Mode of nanoLuciferase Packaging in SARS-CoV-2 Virions and VLPs Provides Versatile Reporters for Virus Production
Authors: Gullberg Rebekah C. , Frydman Judith
Published: June 2023

SARS-CoV-2 is a positive-strand RNA virus in the Coronaviridae family that is responsible for morbidity and mortality worldwide. To better understand the molecular pathways leading to SARS-CoV-2 virus assembly, we examined a virus-like particle (VLP) system co-expressing all structural proteins together with an mRNA reporter encoding nanoLuciferase (herein nLuc). Surprisingly, the 19 kDa nLuc protein itself was encapsidated into VLPs, providing a better reporter than nLuc mRNA itself. Strikingly, infecting nLuc-expressing cells with the SARS-CoV-2, NL63 or OC43 coronaviruses yielded virions containing packaged nLuc that served to report viral production. In contrast, infection with the flaviviruses, dengue or Zika, did not lead to nLuc packaging and secretion. A panel of reporter protein variants revealed that the packaging is size-limited and requires cytoplasmic expression, indicating that the large virion of coronaviruses can encaspidate a small cytoplasmic reporter protein. Our findings open the way for powerful new approaches to measure coronavirus particle production, egress and viral entry mechanisms.
Prevalence and Etiological Characteristics of Norovirus Infection in China: A Systematic Review and Meta-Analysis
Authors: Li Ting-Ting , Xu Qiang , Liu Mei-Chen , Wang Tao , Che Tian-Le , Teng Ai-Ying , Lv Chen-Long , Wang Guo-Lin , Hong Feng , Liu Wei , Fang Li-Qun
Published: June 2023

Norovirus is a common cause of sporadic cases and outbreaks of gastroenteritis worldwide, although its prevalence and the dominant genotypes responsible for gastroenteritis outbreaks remain obscure. A systematic review was conducted on norovirus infection in China between January 2009 and March 2021. A meta-analysis and beta-binomial regression model were used to explore the epidemiological and clinical characteristics of norovirus infection and the potential factors contributing to the attack rate of the norovirus outbreaks, respectively. A total of 1132 articles with 155,865 confirmed cases were included, with a pooled positive test rate of 11.54% among 991,786 patients with acute diarrhea and a pooled attack rate of 6.73% in 500 norovirus outbreaks. GII.4 was the predominant genotype in both the etiological surveillance and outbreaks, followed by GII.3 in the etiological surveillance, and GII.17 in the outbreaks, with the proportion of recombinant genotypes increasing in recent years. A higher attack rate in the norovirus outbreaks was associated with age group (older adults), settings (nurseries, primary schools, etc.) and region (North China). The nation-wide pooled positive rate in the etiological surveillance of norovirus is lower than elsewhere in the global population, while the dominant genotypes are similar in both the etiological surveillance and the outbreak investigations. This study contributes to the understanding of norovirus infection with different genotypes in China. The prevention and control of norovirus outbreaks during the cold season should be intensified, with special attention paid to and enhanced surveillance performed in nurseries, schools and nursing homes from November to March.
Evaluation of Ground and Surface Water Hydrochemistry for Irrigation Suitability in Borneo: Insights from Brunei Darussalam
Authors: Azffri Siti , Thong Chua , Lim Lee , Ibrahim Md , Schirmer Mario , Gödeke Stefan
Published: June 2023

Water for irrigation use plays a critical role in agriculture via supporting crop growth and maintaining food production worldwide. Irrigation water quality evaluations provide useful information for sustainable water practices in many agricultural regions. In Brunei Darussalam, the quality of irrigation water is still poorly understood. The present study aims to investigate the hydrochemical characteristics of water resources in Brunei Darussalam and evaluate their quality and suitability for irrigation use. A total of fifteen sampling locations were chosen from selected ground and surface water sources found in all four Brunei districts. The water samples’ physicochemical properties, including pH, EC, and major cations and anions, were measured and compared with FAO standards. Hydrochemical classification based on the Piper diagram revealed that water mainly belongs to the calcium-, magnesium-, and bicarbonate-type, or Type IV water class. The evaluation of heavy metals (Fe, Zn, Cu, Cr, As, and Cd) showed concentrations within the FAO’s permissible limits. In this regard, iron showed the highest concentration among the investigated metals. Established water quality indices such as SAR, Na%, RSC, MAR, KR, PS, and IWQI were used to evaluate and classify the water’s suitability for irrigation use. Overall, our findings revealed that almost all of the analysed water samples in the study area have low salinity and sodicity risks. However, only 27% of the samples passed the magnesium hazard assessment, and one sample showed a very poor IWQI result. Thus, additional testing and treatment are recommended for these cases. This study provides valuable insights on water quality for present and future utilisation, aiming to contribute to the protection of water resources in Brunei Darussalam.