One of the primary concerns associated with ion cyclotron resonance heating(ICRH)is the enhanced impurity sputtering resulting from radio frequency(RF)sheath formation near plasma-facing components(PFCs),such as limit...One of the primary concerns associated with ion cyclotron resonance heating(ICRH)is the enhanced impurity sputtering resulting from radio frequency(RF)sheath formation near plasma-facing components(PFCs),such as limiters.Developing a sputtering model integrated with RF sheath simulations allows for a more comprehensive understanding of the kinetic behavior of incident ions and their interactions with the limiter surface.We accordingly develop an impurity sputtering model“PMSAD”,which computes the sputtering yield(amount of impurity)on the limiter surface based on incident ion characteristics and predicts the spatial distribution of impurities.The model provides a robust method for understanding and analyzing the impurity sputtering process from limiter surfaces,which is crucial for preventing ICRH surface erosion and reducing edge and core plasma contamination.展开更多
Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-...Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data center.Smart city benefitted from offloading to edge point.Consider a mobile edge computing(MEC)network in multiple regions.They comprise N MDs and many access points,in which everyMDhasM independent real-time tasks.This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)algorithm.The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system cost.In addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted resources.The TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading decision-making.Finally,the SGO algorithm is used for the parameter tuning of the DBN model.The simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.展开更多
This article deals with the biochemical characteristics of varieties of Saint Mary’s Thistle such as Panacea, Debut and Samaryanka. Based on the studies, it was found that the highest oil content was found in the spe...This article deals with the biochemical characteristics of varieties of Saint Mary’s Thistle such as Panacea, Debut and Samaryanka. Based on the studies, it was found that the highest oil content was found in the species Debut (26%). <span style="font-family:Verdana;">The lowest oil content was observed in the variety </span><span style="font-family:Verdana;">Samaryanka</span><span style="font-family:Verdana;"> (19%). The highest protein content and the sum of total amino acids in the seeds of St. Mary’s Thistle varieties were found in the variety Debut (131.1), and the lowest indication was observed in the species Samaryanka (79.2). By the number of replaceable amino acids existing in the seeds of the species of St. Mary’s Thistle, it was found in the Varieties Debut (126.3), and the lowest indication was observed in the variety Samaryanka (112). Based on the results of studies and the noted biochemical characteristics and varietal differences of the St. Mary’s Thistle, the possibility and expediency of expanding the crops of this species in the soil and climatic conditions of the Khorezm region are suggested. The research was conducted 2017-2019 y.</span>展开更多
The possibility of cultivation of lndigofera tinctoria L. plants in ecologically degraded and saline lands of the Aral Sea Basin was studied. A new salt-resistant Indigofera plant variety ＂Feruz-l＂ was producing by ...The possibility of cultivation of lndigofera tinctoria L. plants in ecologically degraded and saline lands of the Aral Sea Basin was studied. A new salt-resistant Indigofera plant variety ＂Feruz-l＂ was producing by the classic methods of genetics and modem biotechnology.Agro-technology of cultivation as main and secondary culture after wheat was developed and recommended to the farmers of the country.The biotechnology of natural plant pigment indigo extraction has been developed and was recommended for using in different fields of industry： textile, pharmacy-pharmacology, perfume-cosmetic, architectural-decorative and food industry. Quantitative and qualitative HPLC （high pressure liquid chromatography） method of determination of plant natural indigo has been also developed.展开更多
In this paper,we investigate the topological charge and conditions for the existence of the photon sphere in Kiselev-anti-de Sitter(AdS)black holes within f(R,T)gravity.Furthermore,we establish their topological class...In this paper,we investigate the topological charge and conditions for the existence of the photon sphere in Kiselev-anti-de Sitter(AdS)black holes within f(R,T)gravity.Furthermore,we establish their topological classifications.We employ two different methods based on Duan's topological current p-mapping theory viz analysis of temperature and the generalized Helmholtz free energy methods to study the topological classes of our black hole.Considering this black hole,we discuss the critical and zero points(topological charges and topological numbers)for different parameters.Our findings reveal that the Kiselev parameter o and f(R,T)gravity parameter y influence the number of topological charges of black holes,providing novel insights into topological classifications.We observe that for given values of the free parameters,total topological charges(Q_(total)=-1)exist for the T method and total topological numbers(ω=+1)for the generalized Helmholtz free energy method.Our research findings elucidate that,in contrast to the scenario in whichω=1/3,in other cases,increasing y increases the number of total topological charges for the black hole.Interestingly,for the phantom field(ω=-4/3),we observe that decreasingγincreases the number of topological charges.Additionally,we study the results for the photon sphere.The studied models reveal that the simultaneous presence ofγandωeffectively expands the permissible range forγ.In other words,the model can exhibit black hole behavior over a larger domain.Additionally,we observe that with the stepwise reduction ofγ,the region covered by singularity diminishes and becomes more restricted.However,an interesting point about all three ranges is the elimination of the forbidden region in this model.In other words,this model and the investigated areas appear to have no region in which both theφand metric functions simultaneously lack solutions.Additionally,we fully check the curvatures singularities and energy conditions for the mentioned black hole.展开更多
The research presented in this paper discusses the impact that the parameters of charge(Q)and screening factor(γ)have on properties of the horizon and silhouette of rotating charged Mod Max black holes which were rev...The research presented in this paper discusses the impact that the parameters of charge(Q)and screening factor(γ)have on properties of the horizon and silhouette of rotating charged Mod Max black holes which were reviewed in[Eur.Phys.J.C(2022)82:1155]recently,building upon previous findings in the field.Furthermore,the study explores the behavior of null geodesics,which can help us better understand the apparent shape of the black hole’s silhouette,as well as the distortion parameter and approximate radii of the silhouette that are influenced by the aforementioned parameters,and there are some values of parameter Q which corresponds to data from the Event Horizon Telescope(EHT).Notably,we explore the distortion parameter and approximate radii of the silhouette,revealing that while an increase inγleads to a growth in silhouette radius(Rs),it simultaneously reduces the distortion rate(δs).Conversely,heightened Q charge results in a reduction of Rsaccompanied by an increase inδs.Lastly,the paper analyzes the effects of the black hole’s parameters on the effective potential and energy emission:the peak value of the energy emission rate experiences a decrease as the screening factor(γ)increases,while it increases with higher values of the charge parameter(Q).展开更多
This study presents a novel multimodal medical image zero-shot segmentation algorithm named the text-visual-prompt segment anything model(TV-SAM)without any manual annotations.The TV-SAM incorporates and integrates th...This study presents a novel multimodal medical image zero-shot segmentation algorithm named the text-visual-prompt segment anything model(TV-SAM)without any manual annotations.The TV-SAM incorporates and integrates the large language model GPT-4,the vision language model GLIP,and the SAM to autonomously generate descriptive text prompts and visual bounding box prompts from medical images,thereby enhancing the SAM’s capability for zero-shot segmentation.Comprehensive evaluations are implemented on seven public datasets encompassing eight imaging modalities to demonstrate that TV-SAM can effectively segment unseen targets across various modalities without additional training.TV-SAM significantly outperforms SAM AUTO(p<0.01)and GSAM(p<0.05),closely matching the performance of SAM BBOX with gold standard bounding box prompts(p=0.07),and surpasses the state-of-the-art methods on specific datasets such as ISIC(0.853 versus 0.802)and WBC(0.968 versus 0.883).The study indicates that TV-SAM serves as an effective multimodal medical image zero-shot segmentation algorithm,highlighting the significant contribution of GPT-4 to zero-shot segmentation.By integrating foundational models such as GPT-4,GLIP,and SAM,the ability to address complex problems in specialized domains can be enhanced.展开更多
基金financially supported by the National MCF Energy R&D Program(Grant No.2022YFE03190100)the National Natural Science Foundation of China(Grant Nos.12422513,12105035,U21A20438)the Xiaomi Young Talents Program。
文摘One of the primary concerns associated with ion cyclotron resonance heating(ICRH)is the enhanced impurity sputtering resulting from radio frequency(RF)sheath formation near plasma-facing components(PFCs),such as limiters.Developing a sputtering model integrated with RF sheath simulations allows for a more comprehensive understanding of the kinetic behavior of incident ions and their interactions with the limiter surface.We accordingly develop an impurity sputtering model“PMSAD”,which computes the sputtering yield(amount of impurity)on the limiter surface based on incident ion characteristics and predicts the spatial distribution of impurities.The model provides a robust method for understanding and analyzing the impurity sputtering process from limiter surfaces,which is crucial for preventing ICRH surface erosion and reducing edge and core plasma contamination.
基金supported by the Technology Development Program of MSS(No.S3033853).
文摘Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data center.Smart city benefitted from offloading to edge point.Consider a mobile edge computing(MEC)network in multiple regions.They comprise N MDs and many access points,in which everyMDhasM independent real-time tasks.This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)algorithm.The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system cost.In addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted resources.The TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading decision-making.Finally,the SGO algorithm is used for the parameter tuning of the DBN model.The simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.
文摘This article deals with the biochemical characteristics of varieties of Saint Mary’s Thistle such as Panacea, Debut and Samaryanka. Based on the studies, it was found that the highest oil content was found in the species Debut (26%). <span style="font-family:Verdana;">The lowest oil content was observed in the variety </span><span style="font-family:Verdana;">Samaryanka</span><span style="font-family:Verdana;"> (19%). The highest protein content and the sum of total amino acids in the seeds of St. Mary’s Thistle varieties were found in the variety Debut (131.1), and the lowest indication was observed in the species Samaryanka (79.2). By the number of replaceable amino acids existing in the seeds of the species of St. Mary’s Thistle, it was found in the Varieties Debut (126.3), and the lowest indication was observed in the variety Samaryanka (112). Based on the results of studies and the noted biochemical characteristics and varietal differences of the St. Mary’s Thistle, the possibility and expediency of expanding the crops of this species in the soil and climatic conditions of the Khorezm region are suggested. The research was conducted 2017-2019 y.</span>
文摘The possibility of cultivation of lndigofera tinctoria L. plants in ecologically degraded and saline lands of the Aral Sea Basin was studied. A new salt-resistant Indigofera plant variety ＂Feruz-l＂ was producing by the classic methods of genetics and modem biotechnology.Agro-technology of cultivation as main and secondary culture after wheat was developed and recommended to the farmers of the country.The biotechnology of natural plant pigment indigo extraction has been developed and was recommended for using in different fields of industry： textile, pharmacy-pharmacology, perfume-cosmetic, architectural-decorative and food industry. Quantitative and qualitative HPLC （high pressure liquid chromatography） method of determination of plant natural indigo has been also developed.
文摘In this paper,we investigate the topological charge and conditions for the existence of the photon sphere in Kiselev-anti-de Sitter(AdS)black holes within f(R,T)gravity.Furthermore,we establish their topological classifications.We employ two different methods based on Duan's topological current p-mapping theory viz analysis of temperature and the generalized Helmholtz free energy methods to study the topological classes of our black hole.Considering this black hole,we discuss the critical and zero points(topological charges and topological numbers)for different parameters.Our findings reveal that the Kiselev parameter o and f(R,T)gravity parameter y influence the number of topological charges of black holes,providing novel insights into topological classifications.We observe that for given values of the free parameters,total topological charges(Q_(total)=-1)exist for the T method and total topological numbers(ω=+1)for the generalized Helmholtz free energy method.Our research findings elucidate that,in contrast to the scenario in whichω=1/3,in other cases,increasing y increases the number of total topological charges for the black hole.Interestingly,for the phantom field(ω=-4/3),we observe that decreasingγincreases the number of topological charges.Additionally,we study the results for the photon sphere.The studied models reveal that the simultaneous presence ofγandωeffectively expands the permissible range forγ.In other words,the model can exhibit black hole behavior over a larger domain.Additionally,we observe that with the stepwise reduction ofγ,the region covered by singularity diminishes and becomes more restricted.However,an interesting point about all three ranges is the elimination of the forbidden region in this model.In other words,this model and the investigated areas appear to have no region in which both theφand metric functions simultaneously lack solutions.Additionally,we fully check the curvatures singularities and energy conditions for the mentioned black hole.
基金partly supported by Research Grant F-FA-2021510 of the Uzbekistan Ministry for Innovative Developmentsupport received from the Scientific and Technological Research Council of Türkiye(TüBITAK),the Abdus Salam International Centre for Theoretical Physics,Trieste,Italy and the Sponsoring Consortium for Open Access Publishing in Particle Physics(SCOAP3)。
文摘The research presented in this paper discusses the impact that the parameters of charge(Q)and screening factor(γ)have on properties of the horizon and silhouette of rotating charged Mod Max black holes which were reviewed in[Eur.Phys.J.C(2022)82:1155]recently,building upon previous findings in the field.Furthermore,the study explores the behavior of null geodesics,which can help us better understand the apparent shape of the black hole’s silhouette,as well as the distortion parameter and approximate radii of the silhouette that are influenced by the aforementioned parameters,and there are some values of parameter Q which corresponds to data from the Event Horizon Telescope(EHT).Notably,we explore the distortion parameter and approximate radii of the silhouette,revealing that while an increase inγleads to a growth in silhouette radius(Rs),it simultaneously reduces the distortion rate(δs).Conversely,heightened Q charge results in a reduction of Rsaccompanied by an increase inδs.Lastly,the paper analyzes the effects of the black hole’s parameters on the effective potential and energy emission:the peak value of the energy emission rate experiences a decrease as the screening factor(γ)increases,while it increases with higher values of the charge parameter(Q).
基金supported by the National Science and Technology Major Project(No.2021YFF1201200)Chinese National Science Foundation(No.62372316)+2 种基金Sichuan Science and Technology Program(Nos.2022YFS0048,2023YFG0126,and 2024YFHZ0091)1·3·5 Project for Disciplines of Excellence,West China Hospital,Sichuan University(No.ZYYC21004)Chongqing Technology Innovation and Application Development Project(No.CSTB2022TIAD-KPX0067).
文摘This study presents a novel multimodal medical image zero-shot segmentation algorithm named the text-visual-prompt segment anything model(TV-SAM)without any manual annotations.The TV-SAM incorporates and integrates the large language model GPT-4,the vision language model GLIP,and the SAM to autonomously generate descriptive text prompts and visual bounding box prompts from medical images,thereby enhancing the SAM’s capability for zero-shot segmentation.Comprehensive evaluations are implemented on seven public datasets encompassing eight imaging modalities to demonstrate that TV-SAM can effectively segment unseen targets across various modalities without additional training.TV-SAM significantly outperforms SAM AUTO(p<0.01)and GSAM(p<0.05),closely matching the performance of SAM BBOX with gold standard bounding box prompts(p=0.07),and surpasses the state-of-the-art methods on specific datasets such as ISIC(0.853 versus 0.802)and WBC(0.968 versus 0.883).The study indicates that TV-SAM serves as an effective multimodal medical image zero-shot segmentation algorithm,highlighting the significant contribution of GPT-4 to zero-shot segmentation.By integrating foundational models such as GPT-4,GLIP,and SAM,the ability to address complex problems in specialized domains can be enhanced.
