The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprec...The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.展开更多
Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedago...Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.展开更多
In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the propos...In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the proposed PV-DT3D,point-voxel fusion features are used for proposal refinement.Specifically,keypoints are sampled from entire point cloud scene and used to encode representative scene features via a proposal-aware voxel set abstraction module.Subsequently,following the generation of proposals by the region proposal networks(RPN),the internal encoded keypoints are fed into the dual transformer encoder-decoder architecture.In 3D object detection,the proposed PV-DT3D takes advantage of both point-wise transformer and channel-wise architecture to capture contextual information from the spatial and channel dimensions.Experiments conducted on the highly competitive KITTI 3D car detection leaderboard show that the PV-DT3D achieves superior detection accuracy among state-of-the-art point-voxel-based methods.展开更多
BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes ...BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes mellitus.Nursing interventions are crucial for managing the disease and preventing complications.AIM To analyse nursing interventions in recent years through a systematic review and meta-analysis and to propose improvements in care plans.METHODS This study conducted a systematic review and meta-analysis of the impact of nursing interventions on quantitative glycaemic variables,such as glycated haemoglobin and fasting plasma glucose.RESULTS After confirming that the combined effect of all studies from the past 5 years positively impacts quantitative variables,a descriptive analysis of the studies with the most significant changes was conducted.Based on this,an improvement in diabetic patient care protocols has been proposed through follow-up plans tailored to the patient’s technological skills.CONCLUSION The combined results obtained and the proposal for improvement developed in this manuscript could help to improve the quality of life of many people around the world.展开更多
Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic co...Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic contributions to thermal conductance at 2D interfaces with graphene, which is validated by non-equilibrium Green's function calculations and molecular dynamics simulations for graphene–gold contacts. Our results reveal that while metal–graphene interfaces are transparent for both electrons and phonons, non-covalent graphene interfaces block electronic tunneling beyond two layers but not phonon transport. This suggests that the Wiedemann–Franz law can be experimentally tested by measuring transport across interfaces with varying graphene layers.展开更多
As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potenti...As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potential risks to humans owing to their persistent,mobile,and toxic properties.Numerous methods have been used to identify and quantify the various forms of microplastics,however,unified standards do not exist.In this review,we systematically summarize the sources,migration,transformation,and analytical methods for microplastics in diverse ecosystems,particularly the most recent sampling and identification techniques.Additionally,the environmental effects and health hazards of microplastics on aquatic and terrestrial systems,as well as human beings are discussed.We also present management strategies for reducing microplastics in a broader social and policy context.This review aims to provide an overview of the migration,transformation,sampling,analysis,and environmental effects of microplastics,which addresses knowledge gaps in microplastic pollution and provides proposals for key research gaps.展开更多
Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selec...Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selecting one of these proposals as the grounding result in the second stage.Nevertheless,the number of candidate proposals generated in the first stage significantly exceeds ground truth and the recall of critical objects is inadequate,thereby enormously limiting the overall network performance.To address the above issues,the authors propose an innovative method termed Separate Non-Maximum Suppression(Sep-NMS)for two-stage REC.Particularly,Sep-NMS models information from the two stages independently and collaboratively,ultimately achieving an overall improvement in comprehension and identification of the target objects.Specifically,the authors propose a Ref-Relatedness module for filtering referent proposals rigorously,decreasing the redundancy of referent proposals.A CLIP†Relatedness module based on robust multimodal pre-trained encoders is built to precisely assess the relevance between language and proposals to improve the recall of critical objects.It is worth mentioning that the authors are the pioneers in utilising a multimodal pre-training model for proposal filtering in the first stage.Moreover,an Information Fusion module is designed to effectively amalgamate the multimodal information across two stages,ensuring maximum uti-lisation of the available information.Extensive experiments demonstrate that the approach achieves competitive performance with previous state-of-the-art methods.The datasets used are publicly available:RefCOCO,RefCOCO+:https://doi.org/10.1007/978-3-319-46475-6_5 and RefCOCOg:https://doi.org/10.1109/CVPR.2016.9.展开更多
The use of Animal House Facilities of IPEN-CNEN/SP （Nuclear and Energetic Research Institute-National Nuclear Energy Commission/SP, Brazil） has provided rats and mice with controlled sanitary quality for research an...The use of Animal House Facilities of IPEN-CNEN/SP （Nuclear and Energetic Research Institute-National Nuclear Energy Commission/SP, Brazil） has provided rats and mice with controlled sanitary quality for research and quality control in the production of radiopharmaceuticals lots, produced at IPEN, following rules of CONCEA-Brazilian National Council for Animal Experimentation Control and approved in CEUA （Ethics Committee on the Use of Animals）, before they are sent to hospitals and clinics spread out in Brazil, for use in nuclear medicine. The production and the supply of high quality laboratory animals have fundamental importance for the accomplishment of vanguard scientific research, with reproducibility and universality. The quality of those animals depends, largely, on the available facilities for their production and lodging, to assure the demanded sanitary control and animal＇s welfare, in agreement with the ethical principles that control the activity. Therefore, the facilities design is of vital importance so that the mentioned requirements can be reached. Nevertheless, pigs and miniature pigs have gained importance as large animal models in medicine. With their size, organ capacity, and physiology resembling in several aspects that of humans, pigs are well suited for preclinical experiments and long-term safety studies. Minipigs will be used for preclinical testing of radiopharmaceuticals and assays radioactive materials for cardiac tests. This paper describes the premises and preliminary activities that have been performed at IPEN for the design of new Animal House Facilities dedicated to keeping minipigs taking into account fundamental aspects such as： animal＇s welfare, sanitation, genetic, in agreement with the ethical principles that control the activity and environmental concerns.展开更多
The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. F...The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. Furthermore, we reason following Wheeler, Hartle and Hawking that since the boundary of a boundary is an empty set which models the quantum wave of the cosmos, then it follows that dark energy is a fundamental physical phenomenon associated with the boundary of the holographic boundary. This leads directly to a clopen universe which is its own Penrose tiling-like multiverse with energy density in full agreement with COBE, WMAP and Type 1a supernova cosmic measurements.展开更多
A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai ...A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai Branch of the State Ocean Measurements Station, China. The buoyancy salinometer is based on the buoyancy theory of liquid, and its determinations are not affected by the variation of sample constituents and have the same accuracy relative to the absolute or standard salinity of conservative ocean water and non conservative estuarine water. Use of the buoyancy salinometer eliminates determination errors caused by using the practical salinity scale 1978 (PSS78) to measure constituent varying seawater samples on the basis of electrical conductivity of seawater samples. A new proposal for a density salinity scale (DSS98) is put forward in this paper.展开更多
Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great...Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great challenges as a partial visualization regularly occurs owing to occlusion from static or dynamic objects or a limited perspective of camera.This paper presents an imagery-based framework to infer parking space status by generating 3D bounding box of the vehicle.A specially designed convolutional neural network based on ResNet and feature pyramid network is proposed to overcome challenges from partial visualization and occlusion.It predicts 3D box candidates on multi-scale feature maps with five different 3D anchors,which generated by clustering diverse scales of ground truth box according to different vehicle templates in the source data set.Subsequently,vehicle distribution map is constructed jointly from the coordinates of vehicle box and artificially segmented parking spaces,where the normative degree of parked vehicle is calculated by computing the intersection over union between vehicle’s box and parking space edge.In space status inference,to further eliminate mutual vehicle interference,three adjacent spaces are combined into one unit and then a multinomial logistic regression model is trained to refine the status of the unit.Experiments on KITTI benchmark and Shanghai road show that the proposed method outperforms most monocular approaches in 3D box regression and achieves satisfactory accuracy in space status inference.展开更多
Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper,...Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper, a recognition method, involving a novel visual attention mechanismbased Gabor region proposal sub-network(Gabor RPN) and improved refinement generative adversarial sub-network(GAN), is proposed. Novel central-peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset(GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.展开更多
Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript p...Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript proposes a new method to improve the current peer review system by providing an interactive,dynamic platform that allows direct,anonymous interaction between the authors of submitted manuscripts and the reviewers.Such real-time interaction may help eliminate any problems related to misunderstanding or misinterpretation of the reviewer’s comments or the authors’response,and would save time while keeping the identity of both parties anonymous.展开更多
One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type ...One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type of proposal distribution for particle filter, called as R-IEKF proposal. By combining iterated extended kalman filter with Rauch-Tung-Striebel optimal smoother, the new proposal integrates the latest observation into system and approximates the true posterior distribution reasonably well, hence generating more precise and stable particles against measurement noise. The simulation results indicate that the improved particle filter with R-IEKF proposal prevails over PF-EKF and UPF both in tracking accuracy and filtering stability. Consequently, PF-RIEKF is a competitive choice in noisy measurement environment.展开更多
Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto ...Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto Protocol have served a remarkable function but also been questioned during the practices of past three years about its environmental effectiveness. A lot of new international GHG emission reduction proposals are proposed from many new a.spects, some of which especially impose pressure on developing countries. So it is of great importance to research on these new proposals in time for negotiation beyond Kyoto and institution of Chinese relevant climate policies. As this paper focutses on the way of commitment distribution of mechanisms, the mechanisms here are categorized in one of two types： those distribute commitment based on countries and those based on sectors. Some of the typical mechanisms are selected to be analyzed comparatively, especially about their influence on developing countries,E-mail address： jiangdongmei@tsinghua.edu.cn展开更多
Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer su...Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer superconductors are experimentally achieved(e.g.,FeSe,MoS2,and NbSe2[2-4]in the field where either charge doping or tensile strain is often required to promote the superconductivity.展开更多
Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector...Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector and adaptive space partitioning algorithm to infer traffic accidents quantitatively.Using 2D region proposals in an RGB image,this method generates deformable frustums based on point cloud for each 2D region proposal and then frustum-wisely extracts features based on the farthest point sampling network(FPS-Net)and feature extraction network(FE-Net).Subsequently,the encoder-decoder network(ED-Net)implements 3D-oriented bounding box(OBB)regression.Meanwhile,the adaptive least square regression(ALSR)method is proposed to split 3D OBB.Finally,the reduced OBB intersection test is carried out to detect traffic accidents via separating surface theorem(SST).In the experiments of KITTI benchmark,our proposed 3D object detector outperforms other state-of-theartmethods.Meanwhile,collision detection algorithm achieves the satisfactory performance of 91.8%accuracy on our SHTA dataset.展开更多
The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform t...The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform the functions of the People＇s Political Consultative Conference, the proposal work has been valued by the leading collective of the Communist Party of China. Based on the summary of the research results of CPPCC proposals at home and abroad, the influence factors of the quality of proposals were investigated through the analysis and summary of the overall conditions of CPPCC proposals in recent 5 years, and specific countermeasures were put forward in terms of proposal drafting, filing and summarizing, so as to improve the scientific level of proposal work in China, and give full play to the function of CPPCC proposal work.展开更多
文摘The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.
基金The Educational Research Project of Kunming Medical University(2023-JY-Y-024 and 2022-JY-Y-011)Special Research Project for Introduced Talent of Kunming Medical University(J13395001)。
文摘Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.
基金supported by the Natural Science Foundation of China (No.62103298)the South African National Research Foundation (Nos.132797 and 137951)。
文摘In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the proposed PV-DT3D,point-voxel fusion features are used for proposal refinement.Specifically,keypoints are sampled from entire point cloud scene and used to encode representative scene features via a proposal-aware voxel set abstraction module.Subsequently,following the generation of proposals by the region proposal networks(RPN),the internal encoded keypoints are fed into the dual transformer encoder-decoder architecture.In 3D object detection,the proposed PV-DT3D takes advantage of both point-wise transformer and channel-wise architecture to capture contextual information from the spatial and channel dimensions.Experiments conducted on the highly competitive KITTI 3D car detection leaderboard show that the PV-DT3D achieves superior detection accuracy among state-of-the-art point-voxel-based methods.
文摘BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes mellitus.Nursing interventions are crucial for managing the disease and preventing complications.AIM To analyse nursing interventions in recent years through a systematic review and meta-analysis and to propose improvements in care plans.METHODS This study conducted a systematic review and meta-analysis of the impact of nursing interventions on quantitative glycaemic variables,such as glycated haemoglobin and fasting plasma glucose.RESULTS After confirming that the combined effect of all studies from the past 5 years positively impacts quantitative variables,a descriptive analysis of the studies with the most significant changes was conducted.Based on this,an improvement in diabetic patient care protocols has been proposed through follow-up plans tailored to the patient’s technological skills.CONCLUSION The combined results obtained and the proposal for improvement developed in this manuscript could help to improve the quality of life of many people around the world.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 12425201 and 52090032)the National Key Basic Research Program of China (Grant No. 2022YFA1205400)。
文摘Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic contributions to thermal conductance at 2D interfaces with graphene, which is validated by non-equilibrium Green's function calculations and molecular dynamics simulations for graphene–gold contacts. Our results reveal that while metal–graphene interfaces are transparent for both electrons and phonons, non-covalent graphene interfaces block electronic tunneling beyond two layers but not phonon transport. This suggests that the Wiedemann–Franz law can be experimentally tested by measuring transport across interfaces with varying graphene layers.
基金supported by the National Natural Science Foundation of China(Nos.21906179 and 22074098)Sichuan Science and Technology Program(No.2021ZYD0047)the Fundamental Research Funds for the Central Universities.
文摘As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potential risks to humans owing to their persistent,mobile,and toxic properties.Numerous methods have been used to identify and quantify the various forms of microplastics,however,unified standards do not exist.In this review,we systematically summarize the sources,migration,transformation,and analytical methods for microplastics in diverse ecosystems,particularly the most recent sampling and identification techniques.Additionally,the environmental effects and health hazards of microplastics on aquatic and terrestrial systems,as well as human beings are discussed.We also present management strategies for reducing microplastics in a broader social and policy context.This review aims to provide an overview of the migration,transformation,sampling,analysis,and environmental effects of microplastics,which addresses knowledge gaps in microplastic pollution and provides proposals for key research gaps.
基金funded by the National Natural Science Foundation of China(No.62076032).
文摘Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selecting one of these proposals as the grounding result in the second stage.Nevertheless,the number of candidate proposals generated in the first stage significantly exceeds ground truth and the recall of critical objects is inadequate,thereby enormously limiting the overall network performance.To address the above issues,the authors propose an innovative method termed Separate Non-Maximum Suppression(Sep-NMS)for two-stage REC.Particularly,Sep-NMS models information from the two stages independently and collaboratively,ultimately achieving an overall improvement in comprehension and identification of the target objects.Specifically,the authors propose a Ref-Relatedness module for filtering referent proposals rigorously,decreasing the redundancy of referent proposals.A CLIP†Relatedness module based on robust multimodal pre-trained encoders is built to precisely assess the relevance between language and proposals to improve the recall of critical objects.It is worth mentioning that the authors are the pioneers in utilising a multimodal pre-training model for proposal filtering in the first stage.Moreover,an Information Fusion module is designed to effectively amalgamate the multimodal information across two stages,ensuring maximum uti-lisation of the available information.Extensive experiments demonstrate that the approach achieves competitive performance with previous state-of-the-art methods.The datasets used are publicly available:RefCOCO,RefCOCO+:https://doi.org/10.1007/978-3-319-46475-6_5 and RefCOCOg:https://doi.org/10.1109/CVPR.2016.9.
文摘The use of Animal House Facilities of IPEN-CNEN/SP （Nuclear and Energetic Research Institute-National Nuclear Energy Commission/SP, Brazil） has provided rats and mice with controlled sanitary quality for research and quality control in the production of radiopharmaceuticals lots, produced at IPEN, following rules of CONCEA-Brazilian National Council for Animal Experimentation Control and approved in CEUA （Ethics Committee on the Use of Animals）, before they are sent to hospitals and clinics spread out in Brazil, for use in nuclear medicine. The production and the supply of high quality laboratory animals have fundamental importance for the accomplishment of vanguard scientific research, with reproducibility and universality. The quality of those animals depends, largely, on the available facilities for their production and lodging, to assure the demanded sanitary control and animal＇s welfare, in agreement with the ethical principles that control the activity. Therefore, the facilities design is of vital importance so that the mentioned requirements can be reached. Nevertheless, pigs and miniature pigs have gained importance as large animal models in medicine. With their size, organ capacity, and physiology resembling in several aspects that of humans, pigs are well suited for preclinical experiments and long-term safety studies. Minipigs will be used for preclinical testing of radiopharmaceuticals and assays radioactive materials for cardiac tests. This paper describes the premises and preliminary activities that have been performed at IPEN for the design of new Animal House Facilities dedicated to keeping minipigs taking into account fundamental aspects such as： animal＇s welfare, sanitation, genetic, in agreement with the ethical principles that control the activity and environmental concerns.
文摘The present note is concerned with two connected and highly important fundamental questions of physics and cosmology, namely if E8E8 Lie symmetry group describes the universe and where cosmic dark energy comes from. Furthermore, we reason following Wheeler, Hartle and Hawking that since the boundary of a boundary is an empty set which models the quantum wave of the cosmos, then it follows that dark energy is a fundamental physical phenomenon associated with the boundary of the holographic boundary. This leads directly to a clopen universe which is its own Penrose tiling-like multiverse with energy density in full agreement with COBE, WMAP and Type 1a supernova cosmic measurements.
文摘A new kind of buoyancy salinometer was designed according to the correlated theories of density, temperature(pressure), buoyancy and salinity. The precision and accuracy of the apparatus were determined by the Beihai Branch of the State Ocean Measurements Station, China. The buoyancy salinometer is based on the buoyancy theory of liquid, and its determinations are not affected by the variation of sample constituents and have the same accuracy relative to the absolute or standard salinity of conservative ocean water and non conservative estuarine water. Use of the buoyancy salinometer eliminates determination errors caused by using the practical salinity scale 1978 (PSS78) to measure constituent varying seawater samples on the basis of electrical conductivity of seawater samples. A new proposal for a density salinity scale (DSS98) is put forward in this paper.
基金This work was supported in part by National Natural Science Foundation of China(No.51805312)in part by Shanghai Sailing Program(No.18YF1409400)+2 种基金in part by Training and Funding Program of Shanghai College young teachers(No.ZZGCD15102)in part by Scientific Research Project of Shanghai University of Engineering Science(No.2016-19)in part by the Shanghai University of Engineering Science Innovation Fund for Graduate Students(No.18KY0613).
文摘Vision-based technologies have been extensively applied for on-street parking space sensing,aiming at providing timely and accurate information for drivers and improving daily travel convenience.However,it faces great challenges as a partial visualization regularly occurs owing to occlusion from static or dynamic objects or a limited perspective of camera.This paper presents an imagery-based framework to infer parking space status by generating 3D bounding box of the vehicle.A specially designed convolutional neural network based on ResNet and feature pyramid network is proposed to overcome challenges from partial visualization and occlusion.It predicts 3D box candidates on multi-scale feature maps with five different 3D anchors,which generated by clustering diverse scales of ground truth box according to different vehicle templates in the source data set.Subsequently,vehicle distribution map is constructed jointly from the coordinates of vehicle box and artificially segmented parking spaces,where the normative degree of parked vehicle is calculated by computing the intersection over union between vehicle’s box and parking space edge.In space status inference,to further eliminate mutual vehicle interference,three adjacent spaces are combined into one unit and then a multinomial logistic regression model is trained to refine the status of the unit.Experiments on KITTI benchmark and Shanghai road show that the proposed method outperforms most monocular approaches in 3D box regression and achieves satisfactory accuracy in space status inference.
基金the National Key Research and Development Program of China(No.2016YFC0802904)National Natural Science Foundation of China(No.61671470)Natural Science Foundation of Jiangsu Province(BK20161470).
文摘Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisyrepresentation. In this paper, a recognition method, involving a novel visual attention mechanismbased Gabor region proposal sub-network(Gabor RPN) and improved refinement generative adversarial sub-network(GAN), is proposed. Novel central-peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset(GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.
文摘Peer review is the cornerstone in scientific publication.Although peer review has paramount importance in ensuring the quality of the published literature,it still has a number of shortcomings.The present manuscript proposes a new method to improve the current peer review system by providing an interactive,dynamic platform that allows direct,anonymous interaction between the authors of submitted manuscripts and the reviewers.Such real-time interaction may help eliminate any problems related to misunderstanding or misinterpretation of the reviewer’s comments or the authors’response,and would save time while keeping the identity of both parties anonymous.
基金Sponsored by the National Natural Science Foundation of China (Grant No. 61136002 )Key Project of Chinese Ministry of Education (Grant No.211180)Shannxi Provincial Industrial and Technological Project(Grant No. 2011K06-47)
文摘One crucial issue in particle filtering is the selection of proposal distribution. Good proposal can effectively alleviate particle degeneracy and thus improve filtering accuracy. In this paper, we propose a new type of proposal distribution for particle filter, called as R-IEKF proposal. By combining iterated extended kalman filter with Rauch-Tung-Striebel optimal smoother, the new proposal integrates the latest observation into system and approximates the true posterior distribution reasonably well, hence generating more precise and stable particles against measurement noise. The simulation results indicate that the improved particle filter with R-IEKF proposal prevails over PF-EKF and UPF both in tracking accuracy and filtering stability. Consequently, PF-RIEKF is a competitive choice in noisy measurement environment.
基金supported by National Ministry of Science and Technology about the project of Study on Designation and Countermeasures for China's participation in Sectoral and Regional Commitments of Emission Reduction (Grant No.2007BAC03A12).
文摘Since Kyoto Protocol came into force on February 16, 2005, the endeavor by international society to combat the climate change has stepped into a new milestone. The greenhouse gas （GHG） abatement mechanisms in Kyoto Protocol have served a remarkable function but also been questioned during the practices of past three years about its environmental effectiveness. A lot of new international GHG emission reduction proposals are proposed from many new a.spects, some of which especially impose pressure on developing countries. So it is of great importance to research on these new proposals in time for negotiation beyond Kyoto and institution of Chinese relevant climate policies. As this paper focutses on the way of commitment distribution of mechanisms, the mechanisms here are categorized in one of two types： those distribute commitment based on countries and those based on sectors. Some of the typical mechanisms are selected to be analyzed comparatively, especially about their influence on developing countries,E-mail address： jiangdongmei@tsinghua.edu.cn
文摘Single-layer superconductors[1]have been the subject of considerable interests as they are ideal systems for the fundamental understanding of two-dimensional(2D)physics and for device applications.A few singlelayer superconductors are experimentally achieved(e.g.,FeSe,MoS2,and NbSe2[2-4]in the field where either charge doping or tensile strain is often required to promote the superconductivity.
基金National Natural Science Foundation of China(No.51805312)in part by Shanghai Sailing Program(No.18YF1409400)+4 种基金in part by Training and Funding Program of Shanghai College young teachers(No.ZZGCD15102)in part by Scientific Research Project of Shanghai University of Engineering Science(No.2016-19)in part by Science and Technology Commission of Shanghai Municipality(No.19030501100)in part by the Shanghai University of Engineering Science Innovation Fund for Graduate Students(No.18KY0613)in part by National Key R&D Program of China(No.2016YFC0802900).
文摘Road accident detection plays an important role in abnormal scene reconstruction for Intelligent Transportation Systems and abnormal events warning for autonomous driving.This paper presents a novel 3D object detector and adaptive space partitioning algorithm to infer traffic accidents quantitatively.Using 2D region proposals in an RGB image,this method generates deformable frustums based on point cloud for each 2D region proposal and then frustum-wisely extracts features based on the farthest point sampling network(FPS-Net)and feature extraction network(FE-Net).Subsequently,the encoder-decoder network(ED-Net)implements 3D-oriented bounding box(OBB)regression.Meanwhile,the adaptive least square regression(ALSR)method is proposed to split 3D OBB.Finally,the reduced OBB intersection test is carried out to detect traffic accidents via separating surface theorem(SST).In the experiments of KITTI benchmark,our proposed 3D object detector outperforms other state-of-theartmethods.Meanwhile,collision detection algorithm achieves the satisfactory performance of 91.8%accuracy on our SHTA dataset.
文摘The People＇s Political Consultative Conference is an organization of the patriotic united front of the Chinese people, and it is an important form of develop- ing socialist democracy. As an important way to perform the functions of the People＇s Political Consultative Conference, the proposal work has been valued by the leading collective of the Communist Party of China. Based on the summary of the research results of CPPCC proposals at home and abroad, the influence factors of the quality of proposals were investigated through the analysis and summary of the overall conditions of CPPCC proposals in recent 5 years, and specific countermeasures were put forward in terms of proposal drafting, filing and summarizing, so as to improve the scientific level of proposal work in China, and give full play to the function of CPPCC proposal work.
