基于Ladybug Tools对日光温室的方位角与光照模拟

日光温室是重要的农业基础设施,温室的方位角是评判温室结构设计是否合理的基础之一。选择较好的温室方位角拥有更优的采光性能是本文研究的意义。为此,选择三维可视化技术模拟分析日光温室的光照值,为更好地研究分析日光温室采光性能及光照变化提供较为直观的途径和方法,为优化设计高产、高效、节能的日光温室提供一定的辅助作用。通过实测数据和模拟数据的对比,说明Ladybug Tools软件模拟不同方位角的变化及和田日光温室的光照的对比准确度较高,误差不超过5%,为研究日光温室在光照方面的设计提供了一定的理论依据和参考。

基于IT Tools平台的高中信息技术深度学习实践研究

It Tools平台是一个建立在网络上的信息技术教学辅助平台,教师和学生都可以通过这一平台进行学习,当前这一平台在教育教学中已经取得一定应用效果。本次阐述了基于It Tools平台的高中信息技术教学,以“编程计算”单元教学为例分析了基于It Tools平台的高中信息技术深度学习实践策略。

A Systematic Review and Performance Evaluation of Open-Source Tools for Smart Contract Vulnerability Detection

With the rise of blockchain technology,the security issues of smart contracts have become increasingly critical.Despite the availability of numerous smart contract vulnerability detection tools,many face challenges such as slow updates,usability issues,and limited installation methods.These challenges hinder the adoption and practicality of these tools.This paper examines smart contract vulnerability detection tools from 2016 to 2023,sourced from the Web of Science(WOS)and Google Scholar.By systematically collecting,screening,and synthesizing relevant research,38 open-source tools that provide installation methods were selected for further investigation.From a developer’s perspective,this paper offers a comprehensive survey of these 38 open-source tools,discussing their operating principles,installation methods,environmental dependencies,update frequencies,and installation challenges.Based on this,we propose an Ethereum smart contract vulnerability detection framework.This framework enables developers to easily utilize various detection tools and accurately analyze contract security issues.To validate the framework’s stability,over 1700 h of testing were conducted.Additionally,a comprehensive performance test was performed on the mainstream detection tools integrated within the framework,assessing their hardware requirements and vulnerability detection coverage.Experimental results indicate that the Slither tool demonstrates satisfactory performance in terms of system resource consumption and vulnerability detection coverage.This study represents the first performance evaluation of testing tools in this domain,providing significant reference value.

Phosphorylated protein chip combined with artificial intelligence tools for precise drug screening

We have developed a protein array system,named"Phospho-Totum",which reproduces the phosphorylation state of a sample on the array.The protein array contains 1471 proteins from 273 known signaling pathways.According to the activation degrees of tyrosine kinases in the sample,the corresponding groups of substrate proteins on the array are phosphorylated under the same conditions.In addition to measuring the phosphorylation levels of the 1471 substrates,we have developed and performed the artificial intelligence-assisted tools to further characterize the phosphorylation state and estimate pathway activation,tyrosine kinase activation,and a list of kinase inhibitors that produce phosphorylation states similar to that of the sample.The Phospho-Totum system,which seamlessly links and interrogates the measurements and analyses,has the potential to not only elucidate pathophysiological mechanisms in diseases by reproducing the phosphorylation state of samples,but also be useful for drug discovery,particularly for screening targeted kinases for potential drug kinase inhibitors.

Selection of media tools for community planning:A study from the perspective of communicative planning

In community planning,due to the lack of evidence regarding the selection of media tools,this study examines how a common but differentiated ideal speech situation can be created as well as how more appropriate media tools can be defined and selected in the community planning process.First,this study describes the concept and theoretical basis of media used in community planning from the perspectives of the multiple effects of media evolution on communicative planning.Second,the classification criteria and typical characteristics of media tools used to support community planning are clarified from three dimensions:acceptability,cost effectiveness,and applicability.Third,strategies for applying media tools in the four phases of communicative planning-namely,state analysis,problem identification,contradictory solution and optimization-are described.Finally,trends in the development of media tools for community planning are explored in terms of multistakeholder engagement,supporting scientific decision-making and multiple-type media integration.The results provide a reference for developing more inclusive,effective,and appropriate media tools for enhancing decision-making capacity and modernizing governance in community planning and policy-making processes.

Deterministic tools to predict gas assisted gravity drainage recovery factor

Naturally fractured rocks contain most of the world's petroleum reserves.This significant amount of oil can be recovered efficiently by gas assisted gravity drainage(GAGD).Although,GAGD is known as one of the most effective recovery methods in reservoir engineering,the lack of available simulation and mathematical models is considerable in these kinds of reservoirs.The main goal of this study is to provide efficient and accurate methods for predicting the GAGD recovery factor using data driven techniques.The proposed models are developed to relate GAGD recovery factor to the various parameters including model height,matrix porosity and permeability,fracture porosity and permeability,dip angle,viscosity and density of wet and non-wet phases,injection rate,and production time.In this investigation,by considering the effective parameters on GAGD recovery factor,three different efficient,smart,and fast models including artificial neural network(ANN),least square support vector machine(LSSVM),and multi-gene genetic programming(MGGP)are developed and compared in both fractured and homogenous porous media.Buckinghamπtheorem is also used to generate dimensionless numbers to reduce the number of input and output parameters.The efficiency of the proposed models is examined through statistical analysis of R-squared,RMSE,MSE,ARE,and AARE.Moreover,the performance of the generated MGGP correlation is compared to the traditional models.Results demonstrate that the ANN model predicts the GAGD recovery factor more accurately than the LSSVM and MGGP models.The maximum R^(2)of 0.9677 and minimum RMSE of 0.0520 values are obtained by the ANN model.Although the MGGP model has the lowest performance among the other used models(the R2 of 0.896 and the RMSE of 0.0846),the proposed MGGP correlation can predict the GAGD recovery factor in fractured and homogenous reservoirs with high accuracy and reliability compared to the traditional models.Results reveal that the employed models can easily predict GAGD recovery factor without requiring complicate governing equations or running complex and time-consuming simulation models.The approach of this research work improves our understanding about the most significant parameters on GAGD recovery and helps to optimize the stages of the process,and make appropriate economic decisions.

Emerging molecules,tools,technology,and future of surgical knife in gastroenterology

The 21^(st) century has started with several innovations in the medical sciences,with wide applications in health care management.This development has taken in the field of medicines(newer drugs/molecules),various tools and technology which has completely changed the patient management including abdominal surgery.Surgery for abdominal diseases has moved from maximally invasive to minimally invasive(laparoscopic and robotic)surgery.Some of the newer medicines have its impact on need for surgical intervention.This article focuses on the development of these emerging molecules,tools,and technology and their impact on present surgical form and its future effects on the surgical intervention in gastroenterological diseases.

Policy text quantification of urban waste classification from the perspective of policy tools:Based on the analysis of 6 cities in Northwest China

Based on the theory of policy tools and the application of content analysis method,this paper conducts a quantitative study on 32 samples of municipal waste classification policy texts in 6 cities in Northwest China.It constructs an analysis framework from the perspective of policy tools,policy contents and time series,and then measures and analyzes the policy texts according to the steps of defining analysis units,categories and coding,reliability and validity testing,etc.The results show that:(1)The urban waste classification policy in Northwest China is characterized by increasing attention year by year,a focus on government guidance and investment,and a clear division of responsibilities.These factors help to activate the motivation for policy implementation in cities across Northwest China,foster multi-departmental cooperation,and encourage active participation from various social entities in the process of implementing waste classification policies.(2)At the present stage,the design and application of policy tools are still unreasonable.On the one hand,the structure of policy tools is unbalanced,with excessive environmental policy tools leading to resource waste and insufficient demand policy tools leading to insufficient policy pulling power,which is not conducive to the long-term implementation of garbage classification management.At the same time,the internal structure of the secondary tools of the three types of policy tools is also uneven and unreasonable proportion further aggravates the waste of policy resources;On the other hand,the use of policy tools in each link of the policy content lacks focus and the concept of local policy implementation,which is difficult to meet the current practical needs and difficulties of garbage classification and treatment.According to this,the paper puts forward some policy suggestions,such as increasing the use of demand-oriented policy tools,paying attention to the reasonable matching of policy tools in various links of classification,and paying attention to the coordination of policy goal,process and result under the comprehensive dimension.

Exploration of University English Teachers’Acceptance and Willingness to Use Learning Management System Data Analysis Tools

This study investigates university English teachers’acceptance and willingness to use learning management system(LMS)data analysis tools in their teaching practices.The research employs a mixed-method approach,combining quantitative surveys and qualitative interviews to understand teachers’perceptions and attitudes,and the factors influencing their adoption of LMS data analysis tools.The findings reveal that perceived usefulness,perceived ease of use,technical literacy,organizational support,and data privacy concerns significantly impact teachers’willingness to use these tools.Based on these insights,the study offers practical recommendations for educational institutions to enhance the effective adoption of LMS data analysis tools in English language teaching.

Research Progress of Assessment Tools for Peripheral Venous Access Difficulties in Children

Objective:To review the research progress of peripheral venous access difficulty assessment tools in children and to provide a reference for clinical nurses to select and develop appropriate assessment tools.Methods:Search the literature at home and abroad and summarize and analyze the existing evaluation tools.Results:There is no unified assessment tool about difficult venous access in children at home and abroad.The existing tools include the difficult venous access assessment scale and peripheral venous grading assessment tool.Conclusion:The current assessment tools for venous access difficulties in children have their own limitations,and it is necessary to develop further the assessment tools suitable for the cultural background of children's venous access difficulties.This paper summarized the current progress of research on peripheral venous access difficulty assessment tools.It also analyzed and summarized the shortcomings of existing tools to provide a reference for clinical staff to choose appropriate assessment tools.

Nutritional Assessment Tools for Patients with Cancer:A Narrative Review

Cancer patients are at high risk of malnutrition,which can lead to adverse health outcomes such as prolonged hospitalization,increased complications,and increased mortality.Accurate and timely nutritional assessment plays a critical role in effectively managing malnutrition in these patients.However,while many tools exist to assess malnutrition,there is no universally accepted standard.Although different tools have their own strengths and limitations,there is a lack of narrative reviews on nutritional assessment tools for cancer patients.To address this knowledge gap,we conducted a non-systematic literature search using PubMed,Embase,Web of Science,and the Cochrane Library from their inception until May 2023.A total of 90 studies met our selection criteria and were included in our narrative review.We evaluated the applications,strengths,and limitations of 4 commonly used nutritional assessment tools for cancer patients:the Subjective Global Assessment(SGA),Patient-Generated Subjective Global Assessment(PG-SGA),Mini Nutritional Assessment(MNA),and Global Leadership Initiative on Malnutrition(GLIM).Our findings revealed that malnutrition was associated with adverse health outcomes.Each of these 4 tools has its applications,strengths,and limitations.Our findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer patients.It is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.

Recent advances in design and preparation of micro diamond cutting tools

Micro diamond tools are indispensable for the efficient machining of microstructured surfaces.The precision in tool manufacturing and cutting performance directly determines the processing quality of components.The manufacturing of high-quality micro diamond tools relies on scientific design methods and appropriate processing techniques.However,there is currently a lack of systematic review on the design and manufacturing methods of micro diamond tools in academia.This study systematically summarizes and analyzes modern manufacturing methods for micro diamond tools,as well as the impact of tool waviness,sharpness,and durability on machining quality.Subsequently,a design method is proposed based on the theory of cutting edge strength distribution to enhance tool waviness,sharpness,and durability.Finally,this paper presents current technical challenges faced by micro diamond tools along with potential future solutions to guide scientists in this field.The aim of this review is to contribute to the further development of the current design and manufacturing processes for micro diamond cutting tools.

基于Arc Hydro Tools的流域特征自动提取——以贵州省内乌江流域为例

简要回顾和讨论了基于栅格数字高程模型(DEM)自动提取流域特征的原理和方法,介绍了一个新的基于ArcGIS开发的提取流域特征的工具ArcHydroTools,基于ArcHydroTools提取流域特征包括5个流程:DEM的预处理、水流流向的确定、汇流栅格图的生成、河网的自动生成、子流域边界的划分。最后以贵州省内乌江流域为研究区进行了试验,试验结果表明:提取结果的精度在总体上是符合要求的,但在地势平坦区或人类活动干扰较大的地区,提取的结果与实际相差较大。从提取的效率和试验结果的精度两方面来看,基于ArcHydroTools的流域特征自动提取是切实可行的。

优先级Petri网的CPN Tools仿真模型研究

优先级概念的引入,增强了有色Petri网的描述能力,但同时也导致了重复开发相似的仿真工具,造成了极大的浪费。通用的有色Petri网仿真工具CPN Tools支持功能强大的元语言(ML),扩展性比较强。在CPN Tools中利用反库所(anti place)、列表(list)和元语言(ML)等方法建立了变迁、库所和托肯三种类型优先级Petri网的仿真模型,并通过示例表明了方法的有效性,这对于优先级Petri网的仿真具有重要意义。

基于Arc Hydro Tools的涪江流域特征自动提取分析

以涪江流域为例,基于1∶5万和1∶25万两种比例尺数字高程模型(DEM),利用Arc Hydro Tools对DEM预处理后进行流域提取,分析通过不同方案提取的河网、流域面积等相关参数,同时针对不同分辨率河网出现差异地段的地形坡度和地形标准差进行分析.实验结果表明:提取结果的精度在总体上是符合要求的,但是在地势平坦区域人类活动干扰较大的地区,提取的结果与实际相差较大.从提取的效率和实验结果的精度两方面来看,基于Arc Hydro Tools的流域特征自动提取是切实可行的.

RSI River Tools系统及其应用介绍

RiverTools是ResearchSystemInc .研制的基于数字高程模型 (digitalelevationmodel,DEM)的流域地表水文要素特征信息 (如单元网格流模式、河网拓扑结构、流域及子流域边界等 )提取、分析与可视化显示的专业分析系统。值得一提的是 ,它是用RSI知名的研究与开发系统———交互式数据语言 (InteractiveDataLanguage ,IDL)开发的且与之高度集成 ,其所有的例程均可在IDL集成开发环境(IDLDE)中调用 ,这样就为研究者提供了一个从数据获取、分析到高级应用开发的良好手段。文中简要介绍了该系统的主要功能 ,并就其在水科学领域中的应用 (如流域河网水文水质数值模拟 )

Application of pre-alloyed powders for diamond tools by ultrahigh pressure water atomization

Copper, iron and cobalt based pre-alloyed powders for diamond tools were prepared by ultrahigh pressure water atomization（UPWA） process. Pre-alloyed powders prepared by different processes including UPWA, conventional water atomization （CWA） and elemental metal mechanical mixing （EMMM） were sintered to segments and then compared in mechanical properties, holding force between matrix and diamond, fracture morphology of blank and sintering diamond section containing matrix. The results showed that the pre-alloyed powder prepared by UPWA exhibits the best mechanical properties including the relative density, the hardness and the bending strength of matrix sinteredsegment. Sintered segments fractography of UPWA pre-alloyed powder indicatesmechanical mosaic strength and chemical bonding force between the pre-alloyed powder and the diamond, leading to the great increase in the holding force between matrix and diamond. The mechanical performance andthe service life of diamond tools were greatly improved by UPWA pre-alloyed powders.

Research Progress of Measuring Tools for Patient Medication Compliance

This paper introduced the content, compilation process, reliability and validity, scoring method of the evaluation tool for patients’ medication compliance at home and abroad, and reviewed the research progress of the tool. The evaluation method, dimension, scoring method, evaluation content and application scope of the tool were compared, so as to provide reference for nurses to comprehensively and accurately evaluate patients’ medication status.

Scheduling method for single-arm cluster tools of wafer fabrications with residency and continuous reentrancy

In order to enhance the utilization of single-ann cluster tools and optimize the scheduling problems of dynamic reaching wafers with residency time and continuous reentrancy constraints, a structural heuristic scheduling algorithm is presented. A nonlinear programming scheduling model is built on the basis of bounding the scheduling problem domain. A feasible path search scheduling method of single-arm robotic operations is put forward with the objective of minimal makespan. Finally, simulation experiments are designed to analyze the scheduling algorithms. Results indicate that the proposed algorithm is feasible and valid to solve the scheduling problems of multiple wafer types and single-ann clusters with the conflicts and deadlocks generated by residency time and continuous reentrancy constraints.

基于Arc Hydro Tools的祁连山国家公园小流域划分

以祁连山国家公园为研究区,基于30 m分辨率数字高程模型数据,利用Arc Hydro Tools水文数据模型与河网密度法,在确定最佳集水面积阈值的基础上提取河网并划分小流域,统计小流域的部分特征参数.结果表明,集水面积阈值与河网密度呈幂函数关系,祁连山国家公园最佳集水面积阈值为6000栅格数;河网提取结果与全国1∶250000三级水系流域数据集的河网套合差为2.62%,叠加至遥感图像对比,发现提取结果相较于全国1∶250000三级水系流域数据集更接近真实水系;共划分祁连山国家公园小流域5717个,约80%的小流域面积在3~50 km2.从提取效率和结果精度来看,Arc Hydro Tools模型与河网密度法相结合可较准确提取山地区域河网及小流域.