OdeView: a user-friendly graphical interface to Ode

1990 ◽  
Author(s):  
R. Agrawal ◽  
N. H. Gehani ◽  
J. Srinivasan
Keyword(s):  
Graphical Interface ◽  
User Friendly

SIR2004: an improved tool for crystal structure determination and refinement

2005 ◽  
Vol 38 (2) ◽  
pp. 381-388 ◽  
Author(s):  
Maria C. Burla ◽  
Rocco Caliandro ◽  
Mercedes Camalli ◽  
Benedetta Carrozzini ◽  
Giovanni L. Cascarano ◽  
...  
Keyword(s):  
Crystal Structure ◽  
Ab Initio ◽  
Structure Determination ◽  
Protein Structures ◽  
Medium Size ◽  
Graphical Interface ◽  
Asymmetric Unit ◽  
Density Maps ◽  
Data Resolution ◽  
User Friendly

SIR2004is the evolution of theSIR2002program [Burla, Camalli, Carrozzini, Cascarano, Giacovazzo, Polidori & Spagna (2003).J. Appl. Cryst.36, 1103]. It is devoted to the solution of crystal structures by direct and Patterson methods. Several new features implemented inSIR2004make this program efficient: it is able to solveab initioboth small/medium-size structures as well as macromolecules (up to 2000 atoms in the asymmetric unit). In favourable circumstances, the program is also able to solve protein structures with data resolution up to 1.4–1.5 Å, and to provide interpretable electron density maps. A powerful user-friendly graphical interface is provided.

RES2INS: a graphical interface for theSHELXprogram suite

1998 ◽  
Vol 31 (6) ◽  
pp. 963-964
Author(s):  
Leonard J. Barbour ◽  
Jerry L. Atwood
Keyword(s):  
Operating System ◽  
Structural Model ◽  
Graphical Interface ◽  
Structure Solution ◽  
User Friendly

RES2INSruns under the MS-DOS operating system and allows the user to view graphically the results of successiveSHELXstructure solution and refinement runs. In addition, the structural model can be edited in a user-friendly manner and these changes can be carried through to a newSHELXinstruction file. The program is menu driven and extensive use is made of the mouse for the facilitation of operations on individual atoms.

scholarly journals Visualizing hematopoiesis as a stochastic process

2018 ◽  
Vol 2 (20) ◽  
pp. 2637-2645
Author(s):  
Jason Xu ◽  
Yiwen Wang ◽  
Peter Guttorp ◽  
Janis L. Abkowitz
Keyword(s):  
Stochastic Process ◽  
Cell Expansion ◽  
Visualization Tool ◽  
Graphical Interface ◽  
Human Cord Blood ◽  
Virtual Experiments ◽  
Clonal Hematopoiesis ◽  
Cord Blood Cell ◽  
Statistical Background ◽  
User Friendly

Abstract Stochastic simulation has played an important role in understanding hematopoiesis, but implementing and interpreting mathematical models requires a strong statistical background, often preventing their use by many clinical and translational researchers. Here, we introduce a user-friendly graphical interface with capabilities for visualizing hematopoiesis as a stochastic process, applicable to a variety of mammal systems and experimental designs. We describe the visualization tool and underlying mathematical model, and then use this to simulate serial transplantations in mice, human cord blood cell expansion, and clonal hematopoiesis of indeterminate potential. The outcomes of these virtual experiments challenge previous assumptions and provide examples of the flexible range of hypotheses easily testable via the visualization tool.

PreDICT: a graphical user interface to the DICVOL14 indexing software program for powder diffraction data

2019 ◽  
Vol 34 (3) ◽  
pp. 233-241 ◽  
Author(s):  
Justin R. Blanton ◽  
Robert J. Papoular ◽  
Daniel Louër
Keyword(s):  
Powder Diffraction ◽  
Laboratory Data ◽  
Graphical Interface ◽  
Powder Diffraction Data ◽  
X Ray ◽  
Moderate Number ◽  
Diffraction Patterns ◽  
User Friendly ◽  
Recent Version ◽  
Selection Of

A straightforward intuitive user-friendly compact graphical interface, PreDICT (Premier DICVOL Tool) has been developed to take full advantage of the new capabilities of the most recent version of the DICVOL14 Indexing Software. The latter, an updated version of DICVOL04, includes optimizations, e.g. for monoclinic and triclinic cases, a detailed review of the input data from the indexing solutions, cell centering tests, as well as the handling of a moderate number of impurity peaks. Among the most salient features of PreDICT, one can mention the ability (1) to use 2θ non-equistepped input 1D X-ray powder diffraction patterns as can be obtained from 2D detectors, (2) to strip laboratory data from its Kα2 contribution when present, (3) to generate 2θ equistepped output 1D X-ray powder diffraction patterns in both the “.XY” and “.GSA” formats. In addition, PreDICT allows for the following features: (1) full access to the native DICVOL14 input/output ASCII file system is retained, (2) for any selection of a DICVOL14 suggested unit cell, all predicted Bragg peaks up to a certain 2θMAX value are clearly displayed and indicated, thereby emphasizing the contribution of the unaccounted peaks (if any) to the 1D X-ray powder diffraction pattern under current investigation.

Design of a Platform for Safety Justification of Safety-Critical Software

2017 ◽  
Author(s):  
Guo Jia ◽  
Yang Ming
Keyword(s):  
Software Reliability ◽  
Nuclear Power ◽  
Power Plants ◽  
Graphical Interface ◽  
Key Factors ◽  
Safety Critical ◽  
Software Products ◽  
Software Product ◽  
Quality And Reliability ◽  
User Friendly

Since safety-critical software is crucial to nuclear safety in the occurrence of accident, it is required to have rather higher requirements in both reliability and safety than the non-safety one. However, since the complexity of a software product, how to ensure the reliability and safety of a software product is still a challenging work. The paper presents a design of a platform for safety justification of safety-critical software of nuclear power plants. A syllogism referred as to Claim, Argument and Evidence (CAE) is applied to clarify the key factors that will affect software reliability and the dependencies between them. The proposed safety justification platform offers a user-friendly graphical interface to help construct a CAE model by a drag and drop way. The proposed safety justification platform could be used for the rigorous argument of various factors that may affect the reliability of a safety-critical software product during different phases of its life cycle and establishing their causalities. In this way, it could greatly improve its creditability and applicability and lowering the uncertainties in software development and application, and therefore has a significant engineering values in ensuring and improving the quality and reliability of nuclear software products.

A development of user-friendly graphical interface for a blanket simulator

2010 ◽  
Vol 85 (10-12) ◽  
pp. 1957-1965
Author(s):  
Young-Seok Lee ◽  
Seok-Heun Yoon ◽  
Jung-Hoon Han
Keyword(s):  
Graphical Interface ◽  
User Friendly

A graphical robot language developed in Japan

Robotica ◽  
1997 ◽  
Vol 15 (1) ◽  
pp. 99-103 ◽  
Author(s):  
Tamio Arai ◽  
Toshiyuki Itoko ◽  
Hidetoshi Yago
Keyword(s):  
Graphical User Interface ◽  
Arc Welding ◽  
Industrial Robots ◽  
Robot Programming ◽  
Prototype System ◽  
Programming System ◽  
Graphical Interface ◽  
Welding Robot ◽  
Batch Production ◽  
User Friendly

A graphical robot programming system has been developed. This system with a graphical interface is user-friendly and easy-to-learn for low-skill users. It has been developed as a prototype system under a project by the Japan Robot Association (JARA) since 1994. The system runs on a personal computer and consists of a graphical user interface and an editing system. It is designed for programming an arc welding robot in small batch production and is expected to provide low-skill users with a means to use industrial robots with ease.

scholarly journals Asc-Seurat: analytical single-cell Seurat-based web application

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
W. J. Pereira ◽  
F. M. Almeida ◽  
D. Conde ◽  
K. M. Balmant ◽  
P. M. Triozzi ◽  
...  
Keyword(s):  
Data Analysis ◽  
Single Cell ◽  
Web Application ◽  
Gene Annotation ◽  
Developmental Trajectories ◽  
Cell Types ◽  
Biological Information ◽  
Graphical Interface ◽  
Peripheral Blood Mononuclear ◽  
User Friendly

Abstract Background Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of transcriptomes, arising as a powerful tool for discovering and characterizing cell types and their developmental trajectories. However, scRNA-seq analysis is complex, requiring a continuous, iterative process to refine the data and uncover relevant biological information. A diversity of tools has been developed to address the multiple aspects of scRNA-seq data analysis. However, an easy-to-use web application capable of conducting all critical steps of scRNA-seq data analysis is still lacking. Summary We present Asc-Seurat, a feature-rich workbench, providing an user-friendly and easy-to-install web application encapsulating tools for an all-encompassing and fluid scRNA-seq data analysis. Asc-Seurat implements functions from the Seurat package for quality control, clustering, and genes differential expression. In addition, Asc-Seurat provides a pseudotime module containing dozens of models for the trajectory inference and a functional annotation module that allows recovering gene annotation and detecting gene ontology enriched terms. We showcase Asc-Seurat’s capabilities by analyzing a peripheral blood mononuclear cell dataset. Conclusions Asc-Seurat is a comprehensive workbench providing an accessible graphical interface for scRNA-seq analysis by biologists. Asc-Seurat significantly reduces the time and effort required to analyze and interpret the information in scRNA-seq datasets.

scholarly journals Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution

2020 ◽  
Author(s):  
Adrian Wolny ◽  
Lorenzo Cerrone ◽  
Athul Vijayan ◽  
Rachele Tofanelli ◽  
Amaya Vilches Barro ◽  
...  
Keyword(s):  
Neural Network ◽  
Human Performance ◽  
Light Sheet ◽  
Plant Tissues ◽  
Graphical Interface ◽  
3D Segmentation ◽  
The Neural Network ◽  
Volumetric Images ◽  
Automated Algorithms ◽  
User Friendly

ABSTRACTQuantitative analysis of plant and animal morphogenesis requires accurate segmentation of individual cells in volumetric images of growing organs. In the last years, deep learning has provided robust automated algorithms that approach human performance, with applications to bio-image analysis now starting to emerge. Here, we present PlantSeg, a pipeline for volumetric segmentation of plant tissues into cells. PlantSeg employs a convolutional neural network to predict cell boundaries and graph partitioning to segment cells based on the neural network predictions. PlantSeg was trained on fixed and live plant organs imaged with confocal and light sheet microscopes. PlantSeg delivers accurate results and generalizes well across different tissues, scales, and acquisition settings. We present results of PlantSeg applications in diverse developmental contexts. PlantSeg is free and open-source, with both a command line and a user-friendly graphical interface.

scholarly journals Enabling User-Friendly EON Simulations with a Graphical Interface for ElasticO++

2019 ◽  
Author(s):  
Yrui Giovan Neris ◽  
Rodrigo Stange Tessinari ◽  
Anilton Salles Garcia ◽  
Marcelo Eduardo Vieira Segatto ◽  
Marcia Helena Moreira Paiva
Keyword(s):  
Graphical Interface ◽  
User Friendly
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