Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, a...Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.展开更多
Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geogr...Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.展开更多
Purpose: Diabetes Mellitus (DM) is a prevalent metabolic disorder associated with significant complications, including visual impairment. This study aimed to assess the prevalence and severity of visual impairment and...Purpose: Diabetes Mellitus (DM) is a prevalent metabolic disorder associated with significant complications, including visual impairment. This study aimed to assess the prevalence and severity of visual impairment and its associated factors in diabetic patients in Libya. Methods: This cross-sectional study included 2365 DM patients (4730 eyes). Most participants were aged 30 - 49 (38.3%) and 50 - 69 (50.8%) with a nearly equal gender distribution (47.8% males, 52.2% females). Type 2 diabetes was predominant (92.6%), and 62.9% had HbA1c levels of 7.5% or higher. Results: Diabetic retinopathy (DR) was present in 2068 eyes (43.8%), with mild non-proliferative diabetic retinopathy (NPDR) affecting 1178 eyes (25%), moderate NPDR 476 eyes (10.1%), severe NPDR 228 eyes (4.8%), and proliferative diabetic retinopathy (PDR) 186 eyes (3.9%). Diabetic maculopathy was observed in 621 eyes (13.1%), with CSME in 287 eyes (6.07%) and non-CSME in 334 eyes (7.06%). Non-retinal conditions included cataracts in 1938 eyes (41%) and glaucoma in 252 eyes (5.3%). Visual impairment was observed in 1159 patients (49%), with 534 (23%) experiencing mild impairment, 382 (18%) moderate impairment, and 243 (12%) severe impairment;142 patients (6%) were classified as legally blind. DR showed a strong association with visual impairment severity (p Conclusions: These findings underscore the urgency for targeted public health interventions to mitigate visual impairment in Libyan individuals with DM.展开更多
This paper describes an extendable graphical framework,aflak,which provides a visualization and provenance management environment for the analysis of multi-spectral astronomical datasets.Via its node editor interface,...This paper describes an extendable graphical framework,aflak,which provides a visualization and provenance management environment for the analysis of multi-spectral astronomical datasets.Via its node editor interface,aflak allows the astronomer to compose transforms on input datasets queryable from public astronomical data repositories,then to export the results of the analysis as Flexible Image Transport System(FITS)files,in a manner such that the full provenance of the output data be preserved and reviewable,and that the exported file be usable by other common astronomical analysis software.FITS is the standard of data interchange in astronomy.By embedding aflak’s provenance data into FITS files,we both achieve interoperability with existing software and full reproducibility of the process by which astronomers make discoveries.展开更多
The purpose of this research is the design and implementation of a support system for learning programming. To archive this purpose, in this article, we propose a Puzzle Programming System that uses jigsaw puzzles as ...The purpose of this research is the design and implementation of a support system for learning programming. To archive this purpose, in this article, we propose a Puzzle Programming System that uses jigsaw puzzles as an example of the application of physical visualization, which visualizes logical constraints to physical ones. This Puzzle Programming System aims to teach basic programming concepts by presenting the invisible constraints of programming language syntax using the visual constraints of jigsaw puzzle pieces. This system runs on an Apple iPad and was developed using the Unity game engine. We used YAML as a data format for serializing structured data for data management. By inviting high school students to try out a prototype, we could confirm the usefulness of the Puzzle Programming System. The experimental evaluation results also shed light on aspects of the game that need to be redesigned and parts where the visual programming model needs to be modified and expanded.展开更多
INTRODUCTION Although visual programming is being broadly implemented in other disciplines,it has only relatively recently become an important supplement to three-dimensional modeling programs in the architecture,engi...INTRODUCTION Although visual programming is being broadly implemented in other disciplines,it has only relatively recently become an important supplement to three-dimensional modeling programs in the architecture,engineering,and construction industry.Currently,Grasshopper in conjunction with Rhino is a leading example of a visual programming environment that is strongly supported by a user community that is developing additional functionality,but Grasshopper does not yet work directly with building information modeling(BIM)software.Dynamo is relatively new,but shows considerable promise in becoming a constructive tool to complement BIM,3D modeling,and analysis programs because it includes parametric geom-etries and works with Revit,a leading BIM software program.Three case studies are described:extensibility of Dynamo through the use of a building energy simu-lation package,controlling a virtual model’s response through light level sensors,and interactively updating shading components for a building facade based on solar angles.They demonstrate that one can work directly within building information models(BIM)using a visual programming language through updating component parameters.These case studies demonstrate the feasibility of a workflow for sustain-able design simulations that is different than that more commonly used--having a separation between design and analysis models and using a neutral file format exchange such as IFC or gbXML to transfer data.As visual programming languages are still a bit uncommon in the building industry,a short background is provided to place them within the tool set of other customizable tools that designers have been developing.展开更多
To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented progra...To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented programming. Combined with the computer graphicstechnology, the visual simulation of cold roll-forming is completed and the system is established.By analyzing common channel steel, the process is shown and explained including theory method, modeland result display. So the simulation system is already a kind of mature and effective tool toanalyze the process of cold roll forming.展开更多
Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision...Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.展开更多
基金supported jointly by the grant of Project“973”:Fundamental Studies on Invasion and Control of Extra Pest(2002CB111400)the grant of Key Project of Ministry of Science and Technology of China:Development of New Technologies for Pest Forecasting(2001BA50PB01).
文摘Based on former studies on weather simulator modules in IPMist laboratory, study on visual programming of stochastic weather generator(VS-WGEN)was continued. In this study, Markov Chain, Monte Carlo, Fourier Series, and weak stationary process were used to generate the daily weather data in software Matlab 6. 0, with the data input from 40 years' weather data recorded by Beijing Weather Station. The generated data includes daily maximum temperature, minimum temperature, precipitation and solar radiation. It has been verified that the weather data generated by the VS-WGEN were more accurate than that by the old WGEN, when twenty new model parameters were included. VS-WGEN has wide software applications, such as pest risk analysis, pest forecast and management. It can be implemented in hardware development as well, such as weather control in weather chamber and greenhouse for researches on ecological adaptation of crop varieties to a given location over time and space. Overall, VS-WGEN is a very useful tool for studies on theoretical and applied ecology.
文摘Data are limitless. But those are usually not formed or created in our needs. Most of data providers deliver their data in Microsoft Excel spreadsheet, which is compatible with ArcGIS, the most widely used GIS （Geographic Information System） software in GIS sector. However, those table data contain much unnecessary information that do not need for a certain project. Using the raw data can increase processing times and reduce performance of geoprocessing tools. This study shows steps of how the raw data are being processed using ArcGIS ModelBuilder and Python script.
文摘Purpose: Diabetes Mellitus (DM) is a prevalent metabolic disorder associated with significant complications, including visual impairment. This study aimed to assess the prevalence and severity of visual impairment and its associated factors in diabetic patients in Libya. Methods: This cross-sectional study included 2365 DM patients (4730 eyes). Most participants were aged 30 - 49 (38.3%) and 50 - 69 (50.8%) with a nearly equal gender distribution (47.8% males, 52.2% females). Type 2 diabetes was predominant (92.6%), and 62.9% had HbA1c levels of 7.5% or higher. Results: Diabetic retinopathy (DR) was present in 2068 eyes (43.8%), with mild non-proliferative diabetic retinopathy (NPDR) affecting 1178 eyes (25%), moderate NPDR 476 eyes (10.1%), severe NPDR 228 eyes (4.8%), and proliferative diabetic retinopathy (PDR) 186 eyes (3.9%). Diabetic maculopathy was observed in 621 eyes (13.1%), with CSME in 287 eyes (6.07%) and non-CSME in 334 eyes (7.06%). Non-retinal conditions included cataracts in 1938 eyes (41%) and glaucoma in 252 eyes (5.3%). Visual impairment was observed in 1159 patients (49%), with 534 (23%) experiencing mild impairment, 382 (18%) moderate impairment, and 243 (12%) severe impairment;142 patients (6%) were classified as legally blind. DR showed a strong association with visual impairment severity (p Conclusions: These findings underscore the urgency for targeted public health interventions to mitigate visual impairment in Libyan individuals with DM.
基金JSPS KAKENHI(Japan)Grant Numbers 17K00173 and 17H00737.
文摘This paper describes an extendable graphical framework,aflak,which provides a visualization and provenance management environment for the analysis of multi-spectral astronomical datasets.Via its node editor interface,aflak allows the astronomer to compose transforms on input datasets queryable from public astronomical data repositories,then to export the results of the analysis as Flexible Image Transport System(FITS)files,in a manner such that the full provenance of the output data be preserved and reviewable,and that the exported file be usable by other common astronomical analysis software.FITS is the standard of data interchange in astronomy.By embedding aflak’s provenance data into FITS files,we both achieve interoperability with existing software and full reproducibility of the process by which astronomers make discoveries.
文摘The purpose of this research is the design and implementation of a support system for learning programming. To archive this purpose, in this article, we propose a Puzzle Programming System that uses jigsaw puzzles as an example of the application of physical visualization, which visualizes logical constraints to physical ones. This Puzzle Programming System aims to teach basic programming concepts by presenting the invisible constraints of programming language syntax using the visual constraints of jigsaw puzzle pieces. This system runs on an Apple iPad and was developed using the Unity game engine. We used YAML as a data format for serializing structured data for data management. By inviting high school students to try out a prototype, we could confirm the usefulness of the Puzzle Programming System. The experimental evaluation results also shed light on aspects of the game that need to be redesigned and parts where the visual programming model needs to be modified and expanded.
文摘INTRODUCTION Although visual programming is being broadly implemented in other disciplines,it has only relatively recently become an important supplement to three-dimensional modeling programs in the architecture,engineering,and construction industry.Currently,Grasshopper in conjunction with Rhino is a leading example of a visual programming environment that is strongly supported by a user community that is developing additional functionality,but Grasshopper does not yet work directly with building information modeling(BIM)software.Dynamo is relatively new,but shows considerable promise in becoming a constructive tool to complement BIM,3D modeling,and analysis programs because it includes parametric geom-etries and works with Revit,a leading BIM software program.Three case studies are described:extensibility of Dynamo through the use of a building energy simu-lation package,controlling a virtual model’s response through light level sensors,and interactively updating shading components for a building facade based on solar angles.They demonstrate that one can work directly within building information models(BIM)using a visual programming language through updating component parameters.These case studies demonstrate the feasibility of a workflow for sustain-able design simulations that is different than that more commonly used--having a separation between design and analysis models and using a neutral file format exchange such as IFC or gbXML to transfer data.As visual programming languages are still a bit uncommon in the building industry,a short background is provided to place them within the tool set of other customizable tools that designers have been developing.
基金This project is supported by Provincial Natural Science Foundation of Hebei (No.502214).
文摘To simulate the process of cold roll-forming process, a new method isadopted. The theoretical foundation of this method is an elastic-plastic large deformation splinefinite strip method based on object-oriented programming. Combined with the computer graphicstechnology, the visual simulation of cold roll-forming is completed and the system is established.By analyzing common channel steel, the process is shown and explained including theory method, modeland result display. So the simulation system is already a kind of mature and effective tool toanalyze the process of cold roll forming.
文摘Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.
