This paper reviews the use of fiber-reinforced polymers （FRPs） in architectural and structural bridge design in the Netherlands. The challenges and opportunities of this relatively new material, both for the archite...This paper reviews the use of fiber-reinforced polymers （FRPs） in architectural and structural bridge design in the Netherlands. The challenges and opportunities of this relatively new material, both for the architect and the engineer, are discussed. An inventory of recent structural solutions in FRP is included, followed by a discussion on architectural FRP applications derived from the architectural practice of the author and of other pioneers.展开更多
The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine ...The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine Learning(ML)have been used in road infrastructure and construction,particularly with the Internet of Things(IoT)devices.Object detection in Computer Vision also plays a key role in improving road infrastructure and addressing trafficrelated problems.This study aims to use You Only Look Once version 7(YOLOv7),Convolutional Block Attention Module(CBAM),the most optimized object-detection algorithm,to detect and identify traffic signs,and analyze effective combinations of adaptive optimizers like Adaptive Moment estimation(Adam),Root Mean Squared Propagation(RMSprop)and Stochastic Gradient Descent(SGD)with the YOLOv7.Using a portion of German traffic signs for training,the study investigates the feasibility of adopting smaller datasets while maintaining high accuracy.The model proposed in this study not only improves traffic safety by detecting traffic signs but also has the potential to contribute to the rapid development of autonomous vehicle systems.The study results showed an impressive accuracy of 99.7%when using a batch size of 8 and the Adam optimizer.This high level of accuracy demonstrates the effectiveness of the proposed model for the image classification task of traffic sign recognition.展开更多
The study of the palaoseismic events in the karst terrains of the Bulgarian Black Sea coast is a very important up-to-date problem. The investigated region is one of the highest-energy regions in Bulgaria with establi...The study of the palaoseismic events in the karst terrains of the Bulgarian Black Sea coast is a very important up-to-date problem. The investigated region is one of the highest-energy regions in Bulgaria with established and recorded catastrophic historic and contemporary earthquakes. The terrain is subjected to the influence not only of its own earthquake foci but also of those in Romania and Russia. The palaeoearthquakes that caused considerable disturbances in the karst terrains along the Northern Bulgarian Black Sea coast have left significant traces. They caused disturbances in the environment and the relief (rearrangement of the surface and ground water karst basins, partially or entirely collapsed caves, deformed caves, oil, gas and salt intrusions and gravitationally formed caves). The ecological consequences in historic and contemporary aspects were catastrophic. The palaeoseismic dislocations were formed as a result of global, regional and local geodynamic events related with the destruction of the Moezian platform and the regional extension of the Black Sea basin. The time of their display and their spatial interrelations were established as a result of complex investigations accompanied by original documents.展开更多
In this paper, we study the large time behavior of solutions of the parabolic semilinear equation δtu-div（a（x）△↓u） = -｜u｜^αu in （0,∞） × R^N, where α 〉 0 is constant and a∈ Cb^1（R^N） is a symmetr...In this paper, we study the large time behavior of solutions of the parabolic semilinear equation δtu-div（a（x）△↓u） = -｜u｜^αu in （0,∞） × R^N, where α 〉 0 is constant and a∈ Cb^1（R^N） is a symmetric periodic matrix satisfying some ellipticity assumptions.Considering an integrable initial data u0 and α ∈ （2/N, 3/N）, we prove that the large time behavior of solutions is given by the solution U（t, x） of the homogenized linear problem δtU-div（a^h△↓U）=0,U（0） = C, where a^h is the homogenized matrix of a（x）, C is a positive constant and δ is the Dirac measure at 0.展开更多
We examine quasi exactly solvable bistable potentials and their supersymmetric partners within the framework of the asymptotic iteration method （AIM）. It is shown that the AIM produces excellent approximate spectra ...We examine quasi exactly solvable bistable potentials and their supersymmetric partners within the framework of the asymptotic iteration method （AIM）. It is shown that the AIM produces excellent approximate spectra and that sometimes it is found to be more useful to use the partner potential for computation. We also discuss the direct application of the AIM to the Fokker-Planck equation.展开更多
This study presents a bibliometric analysis of Artificial Neural Networks in Risk Management.The study considered articles from the I.S.I.Web of Knowledge and Scopus databases,Identification of publishers,countries,pe...This study presents a bibliometric analysis of Artificial Neural Networks in Risk Management.The study considered articles from the I.S.I.Web of Knowledge and Scopus databases,Identification of publishers,countries,periodicals and the keywords most frequently cited.We used the CiteSpace® software to analyze this material,which provides a set of features to support bibliometrics,including the reference maps.This study provides data collection on Artificial Neural Networks applied to risk management.The number of works identified in this study is significant,and in the last ten years,the number of citations has increased.We did not identify the increase in paper count within the same period.展开更多
This work presents the development of hierarchical niobium pentoxide(Nb_(2)O_(5))-based composite nanofiber membranes for integrated adsorption and photocatalytic degradation of methylene blue(MB)pollutants from aqueo...This work presents the development of hierarchical niobium pentoxide(Nb_(2)O_(5))-based composite nanofiber membranes for integrated adsorption and photocatalytic degradation of methylene blue(MB)pollutants from aqueous solutions.The Nb_(2)O_(5) nanorods were vertically grown using a hydrothermal process on a base electrospun nanofibrous membrane made of polyacrylonitrile/polyvinylidene fluoride/ammonium niobate(V)oxalate hydrate(Nb_(2)O_(5)@PAN/PVDF/ANO).They were characterized using field-emission scanning electron microscopy(FE-SEM),X-ray diffraction(XRD)analysis,and Fourier transform infrared(FTIR)spectroscopy.These composite nanofibers possessed a narrow optical bandgap energy of 3.31 eV and demonstrated an MB degradation efficiency of 96%after 480 min contact time.The pseudo-first-order kinetic study was also conducted,in which Nb_(2)O_(5)@PAN/PVDF/ANO nanofibers have kinetic constant values of 1.29×10^(-2) min^(-1) and 0.30×10^(-2) min^(-1) for adsorption and photocatalytic degradation of MB aqueous solutions,respectively.These values are 17.7 and 7.8 times greater than those of PAN/PVDF/ANO nanofibers without Nb_(2)O_(5) nanostructures.Besides their outstanding photocatalytic performance,the developed membrane materials exhibit advantageous characteristics in recycling,which subsequently widen their practical use in environmental remediation applications.展开更多
Electrical power cables in tidal turbine farms contribute a significant share to capital expenditure(CAPEX).As a result,the routing of electrical power cables connecting turbines to cable collector hubs must be design...Electrical power cables in tidal turbine farms contribute a significant share to capital expenditure(CAPEX).As a result,the routing of electrical power cables connecting turbines to cable collector hubs must be designed so as to obtain the least cost configuration.This is referred to as a tidal cable routing problem.This problem possesses several variants depending on the number of cable collector hubs.In this paper,these variants are modeled by employing the approach of the single depot multiple traveling salesman problem(mTSP)and the multiple depot mTSP of operational research for the single and multiple cable collector variants,respectively.The developed optimization models are computationally implemented using MATLAB.In the triple cable collector cable hub variant,an optimal solution is obtained,while good-quality suboptimal solutions are obtained in the double and single cable collector hub variants.In practice,multiple cable collector hubs are expected to be employed as the multiple-hub configurations tend to be more economic than the single-hub configurations.This has been confirmed by this paper for an optimal tidal turbine layout obtained with OpenTidalFarm.Suggestions are presented for future research studies comprising a number of heuristics.展开更多
Ⅰ. INTRODUCTION BL Lac objects were the prototype of a new class of astrophysically interested objects with these peculiar characteristies: (ⅰ) Absence of emission lines in the core source;(ⅱ) rapid variability at ...Ⅰ. INTRODUCTION BL Lac objects were the prototype of a new class of astrophysically interested objects with these peculiar characteristies: (ⅰ) Absence of emission lines in the core source;(ⅱ) rapid variability at radio, IR and visual wavelengths; (ⅲ) non-thermal展开更多
The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts...The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts are still at the preliminary stages for energy paradigm transitions. In particular, technologies and methodologies for large-scale renewable energy integrations are still not sufficiently sophisticated, in terms of intelligent control management. Artificial intelligent (AI) techniques powered renewable energy systems can learn from bioinspired lessons and provide power systems with intelligence. However, there are few in-depth dissections and deliberations on the roles of AI techniques for large-scale integrations of renewable energy and decarbonisation in multi-energy systems. This study summarizes the commonly used AI-related approaches and discusses their functional advantages when being applied in various renewable energy sectors, as well as their functional contribution to optimizing the operational control modalities of renewable energy and improving the overall operational effectiveness. This study also presents practical applications of various AI techniques in large-scale renewable energy integration systems, and analyzes their effectiveness through theoretical explanations and diverse case studies. In addition, this study introduces limitations and challenges associated with the large-scale renewable energy integrations for carbon neutrality transition using relevant AI techniques, and proposes further promising research perspectives and recommendations. This comprehensive review ignites advanced AI techniques for large-scale renewable integrations and provides valuable informational instructions and guidelines to different stakeholders (e.g., engineers, designers and scientists) for carbon neutrality transition.展开更多
Although the gas-phase production of nanostructured solids has already been carried out in industry for decades, only in recentyears has research interest in this topic begun to increase. Nevertheless, despite the rem...Although the gas-phase production of nanostructured solids has already been carried out in industry for decades, only in recentyears has research interest in this topic begun to increase. Nevertheless, despite the remarkable scientific progress made recently, many long-established processes are still used in industry. Scientific advancements can potentially lead to the improvement of existing industrial processes, but also to the development of completely new routes. This paper aims to review state-of-the-art synthesis and processing technologies, as well as the recent developments in academic research. Flame reactors that produce inorganic nanoparticles on industrial- and lab-scales are described, alongside a detailed overview of the different systems used for the production of carbon nanotubes and graphene. We discuss the problems of agglomeration and mixing of nanoparticles, which are strongly related to synthesis and processing. Finally, we focus on two promising processing techniques, namely nanoparticle fluidization and atomic layer deposition.展开更多
Various vaccine platforms are geared against COVID-19 vaccine development to produce immunogens in cells.To design a recombinant protein-based COVID-19 vaccine,Vaxine pty Ltd used computer models of the spike protein ...Various vaccine platforms are geared against COVID-19 vaccine development to produce immunogens in cells.To design a recombinant protein-based COVID-19 vaccine,Vaxine pty Ltd used computer models of the spike protein and its human receptor,ACE2,to identify how the virus infects human cells.Based on this,the COVAX-19 ■vaccine is synthesized.It does reduce not only COVID-19 disease but also blocks virus shedding and transmission.Researchers are optimistic that this vaccine candidate could be clinically available soon with sufficient vaccine efficacy with a considerable amount of reduction in vaccination-related side effects.展开更多
The properties of nanoparticles are often different from those of larger grains of the same solid material because of their very large specific surface area. This enables many novel applications, but properties such a...The properties of nanoparticles are often different from those of larger grains of the same solid material because of their very large specific surface area. This enables many novel applications, but properties such as agglomeration can also hinder their potential use. By creating nanostructured particles one can take optimum benefit from the desired properties while minimizing the adverse effects. We aim at developing high-precision routes for scalable production of nanostructured particles. Two gas-phase synthesis routes are explored. The first one - covering nanoparticles with a continuous layer - is carried out using atomic layer deposition in a fluidized bed. Through fluidization, the full surface area of the nanoparticles becomes available. With this process, particles can be coated with an ultra-thin film of constant and well-tunable thickness. For the second route - attaching nanoparticles to larger particles - a novel approach using electrostatic forces is demonstrated. The micron-sized particles are charged with one polarity using tribocharging. Using electrospraying, a spray of charged nanoparticles with opposite polarity is generated. Their charge prevents agglomeration, while it enhances efficient deposition at the surface of the host particle. While the proposed processes offer good potential for scale-up, further work is needed to realize large-scale processes.展开更多
Globally,the Rising Plate Meter(RPM)is a device used to measure compressed sward height,to enable estimation of herbage mass.Despite improved farm management practices aided by a variety of technological advances,the ...Globally,the Rising Plate Meter(RPM)is a device used to measure compressed sward height,to enable estimation of herbage mass.Despite improved farm management practices aided by a variety of technological advances,the standard design of a RPM has remained relatively unchanged.Recently,however,a RPM utilising a micro-sonic sensor,with digital data capture capability via a Bluetooth communications link to a smart device application,has been developed.Here,we assess the comparable ability of both a standard cumulative ratchet counter RPM and the micro-sonic sensor RPM,to accurately and precisely measure fixed heights.Moreover,as correct allocation of grazing area requires accurate geolocation positioning,we assess the associated GPS technology.The micro-sonic sensor RPM was significantly more accurate for height capture than the cumulative ratchet counter RPM.Overall,across all heights,the cumulative ratchet counter RPM underestimated height by 7.68±0.06mm(mean±SE).Alternatively,the micro-sonic sensor RPM overestimated height by 0.18±0.08 mm.In relation to a practical applications,these discrepancies can result in an under-and overestimation of dry matter yield by 13.71%and 0.32%kilograms per hectare,respectively.The performance of the on-board GPS did not significantly differ from that of a tertiary device.Overall,the wireless technology,integrated mapping,and decision support tools offered by the innovative micro-sonic sensor RPM provides for a highly efficacious grassland management tool.展开更多
The article examines the existing infrastructure of open common spaces within two New Belgrade mass housing blocks(Blocks 23 and 70a)through a typo-morphological analysis.These spaces between the buildings,although th...The article examines the existing infrastructure of open common spaces within two New Belgrade mass housing blocks(Blocks 23 and 70a)through a typo-morphological analysis.These spaces between the buildings,although the most neglected,underused,and deteriorated components of mass housing neighbourhoods,are at the same time crucial to the quality,vitality and integrated governance of these neighbourhoods.They represent the primary tangible commons in cities and neighbourhoods.The question of urban commons is increasingly present in scientific literature,urban and architectural discourse.Nevertheless,approaches exploring the spatiality of the urban commons are scarce,leading to insufficient understanding of the spatial aspect and potentials of the already existing commons.Therefore,this study includes(1)identification,typological decoding and classification of the common spaces,focusing on the case of New Belgrade blocks,followed by(2)analysis of the spatial patterns and integration of the identified spaces within the blocks.The study confirms the complexity and diverse typology of the common spaces.It finds that the in-between,common spaces contribute to higher integration of different segments of the blocks.The open common spaces have an essential role in humanisation of the blocks,and thus the quality of life in the blocks as integrated neighbourhoods.The findings indicate that the spatial setting of the open common spaces in New Belgrade blocks allows for(re)emergence of collective practices,leading to inclusive and integrated rehabilitation of the neighbourhoods.展开更多
To the Editor:Postmenopausal osteoporosis is a typical bone metabolic disruption disease caused by estrogen deficiency,characterized by deteriorated bone structure,reduced bone mineral density(BMD),and thinned sclerot...To the Editor:Postmenopausal osteoporosis is a typical bone metabolic disruption disease caused by estrogen deficiency,characterized by deteriorated bone structure,reduced bone mineral density(BMD),and thinned sclerotin,which has troubled millions of menopausal women worldwide.[1]Additionally,estrogen deficiency is accompanied by oxidative stress and inflammation,thus causing the occurrence and deterioration of osteoporosis.[2]Conventional treatment options have limited efficacy and cannot meet the requirements of long-term treatment.[3]Therefore,in order to alleviate the problem of osteoporosis in human health,innovative strategies should explore the possibilities and alternatives to current ones.In this study.展开更多
Carbon fibres have been produced from hydroxypropyl-modified lignin(TcC)/bio-based polyamide 1010(PA1010)blended filaments.Two grades of PA1010,with different molecular weights and rheological properties,were used for...Carbon fibres have been produced from hydroxypropyl-modified lignin(TcC)/bio-based polyamide 1010(PA1010)blended filaments.Two grades of PA1010,with different molecular weights and rheological properties,were used for blending with TcC.An oxidative thermal stabilisation step was used prior to carbonisation in an inert atmosphere to prevent the fusion of the filaments during the latter step.Thermal stabilisation was not possible using a one-step stabilisation process reported in the literature for lignin and other lignin/synthetic polymer blends.As a consequence,a cyclic process involving an additional isothermal phase at a lower temperature than the precursor filaments’melting point,was introduced to increase the cross-linking reactions between the lignin and polyamide.Thermally stabilised filaments were characterised by DSC,TGA,TGA-FTIR,ATR,and SEM techniques.Polymer rheology and heating rate used during thermal stabilisation influenced the thermal stabilisation process and mechanical properties of the derived filaments.Thermally stabilised filaments using optimised conditions(heating in the air atmosphere at 0.25℃/min to 180℃;isothermal for 1 h,cooling back down to ambient at 5℃/min;heating to 250℃ at 0.25℃/min,isothermal for 2 h)could be successfully carbonised.Carbon fibres pro-duced had void-free morphologies and mechanical properties comparable to similarly thermally stabilised and carbonised polyacrylonitrile(PAN)filaments.展开更多
文摘This paper reviews the use of fiber-reinforced polymers （FRPs） in architectural and structural bridge design in the Netherlands. The challenges and opportunities of this relatively new material, both for the architect and the engineer, are discussed. An inventory of recent structural solutions in FRP is included, followed by a discussion on architectural FRP applications derived from the architectural practice of the author and of other pioneers.
文摘The infrastructure and construction of roads are crucial for the economic and social development of a region,but traffic-related challenges like accidents and congestion persist.Artificial Intelligence(AI)and Machine Learning(ML)have been used in road infrastructure and construction,particularly with the Internet of Things(IoT)devices.Object detection in Computer Vision also plays a key role in improving road infrastructure and addressing trafficrelated problems.This study aims to use You Only Look Once version 7(YOLOv7),Convolutional Block Attention Module(CBAM),the most optimized object-detection algorithm,to detect and identify traffic signs,and analyze effective combinations of adaptive optimizers like Adaptive Moment estimation(Adam),Root Mean Squared Propagation(RMSprop)and Stochastic Gradient Descent(SGD)with the YOLOv7.Using a portion of German traffic signs for training,the study investigates the feasibility of adopting smaller datasets while maintaining high accuracy.The model proposed in this study not only improves traffic safety by detecting traffic signs but also has the potential to contribute to the rapid development of autonomous vehicle systems.The study results showed an impressive accuracy of 99.7%when using a batch size of 8 and the Adam optimizer.This high level of accuracy demonstrates the effectiveness of the proposed model for the image classification task of traffic sign recognition.
文摘The study of the palaoseismic events in the karst terrains of the Bulgarian Black Sea coast is a very important up-to-date problem. The investigated region is one of the highest-energy regions in Bulgaria with established and recorded catastrophic historic and contemporary earthquakes. The terrain is subjected to the influence not only of its own earthquake foci but also of those in Romania and Russia. The palaeoearthquakes that caused considerable disturbances in the karst terrains along the Northern Bulgarian Black Sea coast have left significant traces. They caused disturbances in the environment and the relief (rearrangement of the surface and ground water karst basins, partially or entirely collapsed caves, deformed caves, oil, gas and salt intrusions and gravitationally formed caves). The ecological consequences in historic and contemporary aspects were catastrophic. The palaeoseismic dislocations were formed as a result of global, regional and local geodynamic events related with the destruction of the Moezian platform and the regional extension of the Black Sea basin. The time of their display and their spatial interrelations were established as a result of complex investigations accompanied by original documents.
基金Supported by CNPq-Conselho Nacional de Desenvolvimento Cient'fico e Tecnológico
文摘In this paper, we study the large time behavior of solutions of the parabolic semilinear equation δtu-div（a（x）△↓u） = -｜u｜^αu in （0,∞） × R^N, where α 〉 0 is constant and a∈ Cb^1（R^N） is a symmetric periodic matrix satisfying some ellipticity assumptions.Considering an integrable initial data u0 and α ∈ （2/N, 3/N）, we prove that the large time behavior of solutions is given by the solution U（t, x） of the homogenized linear problem δtU-div（a^h△↓U）=0,U（0） = C, where a^h is the homogenized matrix of a（x）, C is a positive constant and δ is the Dirac measure at 0.
文摘We examine quasi exactly solvable bistable potentials and their supersymmetric partners within the framework of the asymptotic iteration method （AIM）. It is shown that the AIM produces excellent approximate spectra and that sometimes it is found to be more useful to use the partner potential for computation. We also discuss the direct application of the AIM to the Fokker-Planck equation.
文摘This study presents a bibliometric analysis of Artificial Neural Networks in Risk Management.The study considered articles from the I.S.I.Web of Knowledge and Scopus databases,Identification of publishers,countries,periodicals and the keywords most frequently cited.We used the CiteSpace® software to analyze this material,which provides a set of features to support bibliometrics,including the reference maps.This study provides data collection on Artificial Neural Networks applied to risk management.The number of works identified in this study is significant,and in the last ten years,the number of citations has increased.We did not identify the increase in paper count within the same period.
基金funded by the Minister of Education,Culture,Research,and Technology of Indonesia through a research scheme of“Penelitian Fundamental–Reguler(PFR)2023”under a contract number of 1115c/IT9.2.1/PT.01.03/2023.
文摘This work presents the development of hierarchical niobium pentoxide(Nb_(2)O_(5))-based composite nanofiber membranes for integrated adsorption and photocatalytic degradation of methylene blue(MB)pollutants from aqueous solutions.The Nb_(2)O_(5) nanorods were vertically grown using a hydrothermal process on a base electrospun nanofibrous membrane made of polyacrylonitrile/polyvinylidene fluoride/ammonium niobate(V)oxalate hydrate(Nb_(2)O_(5)@PAN/PVDF/ANO).They were characterized using field-emission scanning electron microscopy(FE-SEM),X-ray diffraction(XRD)analysis,and Fourier transform infrared(FTIR)spectroscopy.These composite nanofibers possessed a narrow optical bandgap energy of 3.31 eV and demonstrated an MB degradation efficiency of 96%after 480 min contact time.The pseudo-first-order kinetic study was also conducted,in which Nb_(2)O_(5)@PAN/PVDF/ANO nanofibers have kinetic constant values of 1.29×10^(-2) min^(-1) and 0.30×10^(-2) min^(-1) for adsorption and photocatalytic degradation of MB aqueous solutions,respectively.These values are 17.7 and 7.8 times greater than those of PAN/PVDF/ANO nanofibers without Nb_(2)O_(5) nanostructures.Besides their outstanding photocatalytic performance,the developed membrane materials exhibit advantageous characteristics in recycling,which subsequently widen their practical use in environmental remediation applications.
基金supported by the funding for the OpTiCA project from the Marie Sklodowska-Curie Actions of the European Union’s H2020-MSCA-IF-EF-RI-2016/under REA grant agreement#[748747]
文摘Electrical power cables in tidal turbine farms contribute a significant share to capital expenditure(CAPEX).As a result,the routing of electrical power cables connecting turbines to cable collector hubs must be designed so as to obtain the least cost configuration.This is referred to as a tidal cable routing problem.This problem possesses several variants depending on the number of cable collector hubs.In this paper,these variants are modeled by employing the approach of the single depot multiple traveling salesman problem(mTSP)and the multiple depot mTSP of operational research for the single and multiple cable collector variants,respectively.The developed optimization models are computationally implemented using MATLAB.In the triple cable collector cable hub variant,an optimal solution is obtained,while good-quality suboptimal solutions are obtained in the double and single cable collector hub variants.In practice,multiple cable collector hubs are expected to be employed as the multiple-hub configurations tend to be more economic than the single-hub configurations.This has been confirmed by this paper for an optimal tidal turbine layout obtained with OpenTidalFarm.Suggestions are presented for future research studies comprising a number of heuristics.
文摘Ⅰ. INTRODUCTION BL Lac objects were the prototype of a new class of astrophysically interested objects with these peculiar characteristies: (ⅰ) Absence of emission lines in the core source;(ⅱ) rapid variability at radio, IR and visual wavelengths; (ⅲ) non-thermal
文摘The vigorous expansion of renewable energy as a substitute for fossil energy is the predominant route of action to achieve worldwide carbon neutrality. However, clean energy supplies in multi-energy building districts are still at the preliminary stages for energy paradigm transitions. In particular, technologies and methodologies for large-scale renewable energy integrations are still not sufficiently sophisticated, in terms of intelligent control management. Artificial intelligent (AI) techniques powered renewable energy systems can learn from bioinspired lessons and provide power systems with intelligence. However, there are few in-depth dissections and deliberations on the roles of AI techniques for large-scale integrations of renewable energy and decarbonisation in multi-energy systems. This study summarizes the commonly used AI-related approaches and discusses their functional advantages when being applied in various renewable energy sectors, as well as their functional contribution to optimizing the operational control modalities of renewable energy and improving the overall operational effectiveness. This study also presents practical applications of various AI techniques in large-scale renewable energy integration systems, and analyzes their effectiveness through theoretical explanations and diverse case studies. In addition, this study introduces limitations and challenges associated with the large-scale renewable energy integrations for carbon neutrality transition using relevant AI techniques, and proposes further promising research perspectives and recommendations. This comprehensive review ignites advanced AI techniques for large-scale renewable integrations and provides valuable informational instructions and guidelines to different stakeholders (e.g., engineers, designers and scientists) for carbon neutrality transition.
文摘Although the gas-phase production of nanostructured solids has already been carried out in industry for decades, only in recentyears has research interest in this topic begun to increase. Nevertheless, despite the remarkable scientific progress made recently, many long-established processes are still used in industry. Scientific advancements can potentially lead to the improvement of existing industrial processes, but also to the development of completely new routes. This paper aims to review state-of-the-art synthesis and processing technologies, as well as the recent developments in academic research. Flame reactors that produce inorganic nanoparticles on industrial- and lab-scales are described, alongside a detailed overview of the different systems used for the production of carbon nanotubes and graphene. We discuss the problems of agglomeration and mixing of nanoparticles, which are strongly related to synthesis and processing. Finally, we focus on two promising processing techniques, namely nanoparticle fluidization and atomic layer deposition.
文摘Various vaccine platforms are geared against COVID-19 vaccine development to produce immunogens in cells.To design a recombinant protein-based COVID-19 vaccine,Vaxine pty Ltd used computer models of the spike protein and its human receptor,ACE2,to identify how the virus infects human cells.Based on this,the COVAX-19 ■vaccine is synthesized.It does reduce not only COVID-19 disease but also blocks virus shedding and transmission.Researchers are optimistic that this vaccine candidate could be clinically available soon with sufficient vaccine efficacy with a considerable amount of reduction in vaccination-related side effects.
文摘The properties of nanoparticles are often different from those of larger grains of the same solid material because of their very large specific surface area. This enables many novel applications, but properties such as agglomeration can also hinder their potential use. By creating nanostructured particles one can take optimum benefit from the desired properties while minimizing the adverse effects. We aim at developing high-precision routes for scalable production of nanostructured particles. Two gas-phase synthesis routes are explored. The first one - covering nanoparticles with a continuous layer - is carried out using atomic layer deposition in a fluidized bed. Through fluidization, the full surface area of the nanoparticles becomes available. With this process, particles can be coated with an ultra-thin film of constant and well-tunable thickness. For the second route - attaching nanoparticles to larger particles - a novel approach using electrostatic forces is demonstrated. The micron-sized particles are charged with one polarity using tribocharging. Using electrospraying, a spray of charged nanoparticles with opposite polarity is generated. Their charge prevents agglomeration, while it enhances efficient deposition at the surface of the host particle. While the proposed processes offer good potential for scale-up, further work is needed to realize large-scale processes.
文摘Globally,the Rising Plate Meter(RPM)is a device used to measure compressed sward height,to enable estimation of herbage mass.Despite improved farm management practices aided by a variety of technological advances,the standard design of a RPM has remained relatively unchanged.Recently,however,a RPM utilising a micro-sonic sensor,with digital data capture capability via a Bluetooth communications link to a smart device application,has been developed.Here,we assess the comparable ability of both a standard cumulative ratchet counter RPM and the micro-sonic sensor RPM,to accurately and precisely measure fixed heights.Moreover,as correct allocation of grazing area requires accurate geolocation positioning,we assess the associated GPS technology.The micro-sonic sensor RPM was significantly more accurate for height capture than the cumulative ratchet counter RPM.Overall,across all heights,the cumulative ratchet counter RPM underestimated height by 7.68±0.06mm(mean±SE).Alternatively,the micro-sonic sensor RPM overestimated height by 0.18±0.08 mm.In relation to a practical applications,these discrepancies can result in an under-and overestimation of dry matter yield by 13.71%and 0.32%kilograms per hectare,respectively.The performance of the on-board GPS did not significantly differ from that of a tertiary device.Overall,the wireless technology,integrated mapping,and decision support tools offered by the innovative micro-sonic sensor RPM provides for a highly efficacious grassland management tool.
基金This article is part of an ongoing PhD research of the first author.The field work and the student workshops were supported by Erasmus+mobilitygrants。
文摘The article examines the existing infrastructure of open common spaces within two New Belgrade mass housing blocks(Blocks 23 and 70a)through a typo-morphological analysis.These spaces between the buildings,although the most neglected,underused,and deteriorated components of mass housing neighbourhoods,are at the same time crucial to the quality,vitality and integrated governance of these neighbourhoods.They represent the primary tangible commons in cities and neighbourhoods.The question of urban commons is increasingly present in scientific literature,urban and architectural discourse.Nevertheless,approaches exploring the spatiality of the urban commons are scarce,leading to insufficient understanding of the spatial aspect and potentials of the already existing commons.Therefore,this study includes(1)identification,typological decoding and classification of the common spaces,focusing on the case of New Belgrade blocks,followed by(2)analysis of the spatial patterns and integration of the identified spaces within the blocks.The study confirms the complexity and diverse typology of the common spaces.It finds that the in-between,common spaces contribute to higher integration of different segments of the blocks.The open common spaces have an essential role in humanisation of the blocks,and thus the quality of life in the blocks as integrated neighbourhoods.The findings indicate that the spatial setting of the open common spaces in New Belgrade blocks allows for(re)emergence of collective practices,leading to inclusive and integrated rehabilitation of the neighbourhoods.
基金supported by grants from the Fundamental Research Funds for the Central Universities(No.JD2231)the National Natural Science Foundation of China(No.82102038).
文摘To the Editor:Postmenopausal osteoporosis is a typical bone metabolic disruption disease caused by estrogen deficiency,characterized by deteriorated bone structure,reduced bone mineral density(BMD),and thinned sclerotin,which has troubled millions of menopausal women worldwide.[1]Additionally,estrogen deficiency is accompanied by oxidative stress and inflammation,thus causing the occurrence and deterioration of osteoporosis.[2]Conventional treatment options have limited efficacy and cannot meet the requirements of long-term treatment.[3]Therefore,in order to alleviate the problem of osteoporosis in human health,innovative strategies should explore the possibilities and alternatives to current ones.In this study.
文摘Carbon fibres have been produced from hydroxypropyl-modified lignin(TcC)/bio-based polyamide 1010(PA1010)blended filaments.Two grades of PA1010,with different molecular weights and rheological properties,were used for blending with TcC.An oxidative thermal stabilisation step was used prior to carbonisation in an inert atmosphere to prevent the fusion of the filaments during the latter step.Thermal stabilisation was not possible using a one-step stabilisation process reported in the literature for lignin and other lignin/synthetic polymer blends.As a consequence,a cyclic process involving an additional isothermal phase at a lower temperature than the precursor filaments’melting point,was introduced to increase the cross-linking reactions between the lignin and polyamide.Thermally stabilised filaments were characterised by DSC,TGA,TGA-FTIR,ATR,and SEM techniques.Polymer rheology and heating rate used during thermal stabilisation influenced the thermal stabilisation process and mechanical properties of the derived filaments.Thermally stabilised filaments using optimised conditions(heating in the air atmosphere at 0.25℃/min to 180℃;isothermal for 1 h,cooling back down to ambient at 5℃/min;heating to 250℃ at 0.25℃/min,isothermal for 2 h)could be successfully carbonised.Carbon fibres pro-duced had void-free morphologies and mechanical properties comparable to similarly thermally stabilised and carbonised polyacrylonitrile(PAN)filaments.
