Interactive platform for peer review:A proposal to improve the current peer review system

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.

Qualitative Comparison between the Brazilian Labeling Program for Buildings and the Portuguese Energy Certification System for Buildings:Proposals for Improving Brazilian Regulations

Buildings represent a significant share of the world’s energy consumption,and the sector has drawn the attention of governments,which have adopted policies to reduce energy expenditure.The Certifications of Energy Efficiency in Buildings stand out as one possible solution to achieve this goal,employed in several countries worldwide.The European Union presents advanced energy assessment programs for buildings,being a reference and model for several other regulations in the world.The Energy Certification System for Buildings(SCE)of Portugal is considered a success case,reflected in the significant number of energy certificates issued.The Brazilian Labeling Program for Building(PBE Edifica),first launched in 2009,does not find a broad application today in the Brazilian scenario.This work shows a synthesis of the European Energy Performance of Buildings Directive(EPBD)and the Brazilian and Portuguese regulations’history.A qualitative comparison is made between the SCE and the PBE Edifica to verify a European and a developing country’s regulations with a certain degree of cultural and climatic similarities.Through this comparison,proposals are made for improvements to Brazilian certification,seeking to improve its energy planning and energy policy concerning its building stock.The suggestions for improvement presented may also be appropriate for other developing countries that have started and have not yet successfully implemented their energy certification programs in buildings.

A Proposal to Set Up a Stable Supply System for Potassic Fertilizer in China

Agriculture is an important foundation of China’s socio-economic development. To secure the sound development of modern agriculture in the 21st century, the supply of fertilizers such as potassium is a key factor. Owing to the limited arable land in China, a vital measure to feed the country’s increasing population is the augmentation of fertilizers so as to gain higher per unit area grain yields. At present, for a fairly long time to come, additional fertilizer resources will mainly come from nitrogen, phosphorus and potassium fertilizers. But there is a severe application disproportion between nitroge-

Object Tracking Algorithm Based on Multi-Time-Space Perception and Instance-Specific Proposals

Aiming at the problem that a single correlation filter model is sensitive to complex scenes such as background interference and occlusion,a tracking algorithm based on multi-time-space perception and instance-specific proposals is proposed to optimize the mathematical model of the correlation filter(CF).Firstly,according to the consistency of the changes between the object frames and the filter frames,the mask matrix is introduced into the objective function of the filter,so as to extract the spatio-temporal information of the object with background awareness.Secondly,the object function of multi-feature fusion is constructed for the object location,which is optimized by the Lagrange method and solved by closed iteration.In the process of filter optimization,the constraints term of time-space perception is designed to enhance the learning ability of the CF to optimize the final track-ing results.Finally,when the tracking results fluctuate,the boundary suppres-sion factor is introduced into the instance-specific proposals to reduce the risk of model drift effectively.The accuracy and success rate of the proposed algorithm are verified by simulation analysis on two popular benchmarks,the object tracking benchmark 2015(OTB2015)and the temple color 128(TC-128).Extensive experimental results illustrate that the optimized appearance model of the proposed algorithm is effective.The distance precision rate and overlap success rate of the proposed algorithm are 0.756 and 0.656 on the OTB2015 benchmark,which are better than the results of other competing algorithms.The results of this study can solve the problem of real-time object tracking in the real traffic environment and provide a specific reference for the detection of traffic abnormalities.

Construction of a Computational Scheme for the Fuzzy HIV/AIDS Epidemic Model with a Nonlinear Saturated Incidence Rate

This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible people.Thenext-generation matrix approach is employed to find the reproduction number of a deterministic model.Thesensitivity analysis and local stability analysis of the systemare also provided.For solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time levels.The numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive solution.The establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of accuracy.The stability of the scheme for the considered fuzzy model is also provided.From the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.

A Hybrid SIR-Fuzzy Model for Epidemic Dynamics:A Numerical Study

This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy Model.By integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model parameters.The main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical modeling.Our main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership level.This enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical models.We investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic results.In order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical scheme.The convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler schemes.The numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease transmission.Significantly,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological factors.Moreover,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible individuals.This correlation offers a significant understanding of how many elements affect the consequences of an epidemic.Our objective is to enhance decision-making in public health by providing a thorough quantitative analysis of the Hybrid SIR-Fuzzy Model.Our approach not only tackles the existing constraints in disease modeling,but also paves the way for additional investigation,providing a vital instrument for researchers and policymakers alike.

Using Circular Economics Strategies to Manage Tourism on Remote Islands:A SMART Approach

Circular economics theory offers destination managers of remote islands a solution-oriented approach to environmental sustainability. This paper examines the practical benefits of this theory that will support the development of a circular economy regarding sustainable island tourism (SIT). The aim of this paper is to inform discussions regarding the feasibility of applying a practice theory that emphasises changes in the behaviours across three segments, visitors, residents, and enterprises using SMART technologies. To achieve this objective, a SMART indicator system (SIS) was used to identify current practices that would support a circular economy (CE). The key innovation of this study is the creation of a proposed framework that may inform best practices for SIT in the future. The findings highlight the potential opportunity of evidenced-based planning to deliver a circular economy strategy (CES) for remote islands in the future. These insights can potentially impact the way that local authorities and destination managers approach the planning of tourism for six islands along the west coast of Ireland.

Research progress on interdisciplinary cooperative learning in nursing

Multidisciplinary and interprofessional collaboration among medical staff is an effective way to reduce the incidence and complication of complex diseases and improve the quality of life.Therefore,it is very important to carry out interdisciplinary cooperative learning for nursing students in the education stage.This paper expounds the current situation of cross-disciplinary nursing education at home and abroad from the aspects of preparation and influencing factors of cross-disciplinary cooperative learning,teacher team building,teaching content and teaching methods,implementation time and place,in order to put forward suggestions for carrying out cross-disciplinary cooperative learning in college courses,and provide reference for many educators to carry out cross-disciplinary education and improve the comprehensive ability of nursing students.

西藏交通警察道路执法工作的风险与防范

西藏自治区自然、地理与气候环境复杂且特殊,道路交通环境相对恶劣,这导致当地交通警察道路执法工作面临诸多风险,包括警员人身安全和执法效能等风险。对此,文章对西藏交通警察道路执法工作风险进行了调查分析,从地区环境、警员安全意识与技能、执法装备、社会宣传和教育等角度探讨了相关风险的成因,针对性相关风险成因,提出从优化警力配置与道路信息推送、加强警员培训、完善警务装备、加强法治化宣传教育等工作来消除相关风险,以期保障警员安全并改善西藏交通环境。

基于Object Proposals并集的显著性检测模型

针对当前常见的显著性检测模型得到的结果会包含大量的背景区域的缺点,本文提出了基于Object Proposals并集的显著性检测模型。该模型首先对于输入图片生成一系列Object Proposals,并通过其并集计算得到背景图;然后结合纹理特征和全局对比度得到初始显著图;最后,用得到的背景图对初始显著图进行背景抑制得到最终显著图。实验结果表明,在通用MSRA1000数据集上,本文提出的显著性模型与其他5种方法相比取得了很好的效果。

Entanglement of E8E8 Exceptional Lie Symmetry Group Dark Energy, Einstein’s Maximal Total Energy and the Hartle-Hawking No Boundary Proposal as the Explanation for Dark Energy

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.

A NEW PROPOSAL FOR DENSITY SALINITY SCALE (DSS98)

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.

3D Bounding Box Proposal for on-Street Parking Space Status Sensing in Real World Conditions

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.

Visual-simulation region proposal and generative adversarial network based ground military target recognition

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.

Improved design of proposal distribution for particle filter

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.

Comparative assessment and essential analysis on new international GHG emission reduction proposals

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

Theoretical Proposal for a Planar Single-Layer Carbon That Shows a Potential in Superconductivity

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.

Traffic Accident Detection Based on Deformable Frustum Proposal and Adaptive Space Segmentation

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.

THE PROGRAM OF GLOBAL CHARACTER RESEARCH OF SOLAR TERRESTRIAL SYSTEM IN THE 22TH SOLAR CYCLE—Forward of the Proceedings

The expert group for strategic study of promoting coherence research on astronomy,space science and earth science organized in the summer of 1985 by the planning Bureauof CAS presented a proposal on the global character research of solar-terrestrial systemin 1986. The proposal was extensively supported by the scientific workers in the fields ofsolar physics, space physics and geo-sciences, and also the persons in HQ of CAS. Pro-fessor Zhou Guang-zhao, the president of CAS, suggested emphasizing the coordinatedstudy in the period of the solar maximum year. The application for one of

Analysis on the Influence Factors of High Quality Proposals and the Countermeasures

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.