There is an absent systematic analysis or review that has been conducted to clarify the topic of nomenclature history and terms misuse about Chiari malformations (CMs). We reviewed all reports on terms coined for CMs ...
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There is an absent systematic analysis or review that has been conducted to clarify the topic of nomenclature history and terms misuse about Chiari malformations (CMs). We reviewed all reports on terms coined for CMs for rational use and provided their etymology and future development. All literature on the nomenclature of CMs was retrieved and extracted into core terms. Subsequently, keyword analysis, preceding and predicting (2023-2025) compound annual growth rate (CAGR) of each core term, was calculated using a mathematical formula and autoregressive integrated moving average model in python. Totally 64,527 CM term usage was identified. Of these, 57 original terms were collected and then extracted into 24 core-terms. Seventeen terms have their own featured author keywords, while seven terms are homologous. The preceding CAGR of 24 terms showed significant growth in use for 18 terms, while 13, three, three, and five terms may show sustained growth, remain stable, decline, and rare in usage, respectively, in the future. Previously, owing to intricate nomenclature, Chiari terms were frequently misused, and numerous seemingly novel but worthless even improper terms have emerged. For a very basic neuropathological phenomenon tonsillar herniation by multiple etiology, a mechanism-based nosology seems to be more conducive to future communication than an umbrella eponym. However, a good nomenclature also should encapsulate all characteristics of this condition, but this is lacking in current CM research, as the pathophysiological mechanisms are not elucidated for the majority of CMs.
The general language and opensource python, coupled with its scientific libraries, offers an interesting alternative to Matlab, Java, and C++ for the development of scientific applications. In this context, authors pr...
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Background Precision medicine aims to address the demand for precise therapy at the gene and pathway levels. We aimed to design software to allow precise treatment of osteoporosis (OP) with Chinese medicines (CMs) at ...
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Background Precision medicine aims to address the demand for precise therapy at the gene and pathway levels. We aimed to design software to allow precise treatment of osteoporosis (OP) with Chinese medicines (CMs) at the gene and pathway levels. Methods PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP database), and the Wanfang database were searched to identify studies treating osteoporosis with CMs. The TCMSP was used to identify bioactive ingredients and related genes for each CM. Gene expression omnibus (GEO) database and the limma package were used to identify differentially expressed genes in osteoporosis. Perl software was used to identify the shared genes between the bioactive components in CM and osteoporosis. R packages and bioconductor packages were used to define the target relationship between shared genes and their related pathways. Third-party python libraries were used to write program codes. Pyinstaller library was used to create an executable program file. Results Data mining: a total of 164 CMs were included, but Drynariae Rhizoma (gusuibu) was used to present this process. We obtained 44 precise relationships among the bioactive ingredients of Drynariae Rhizoma, shared genes, and pathways. pythonprogramming: we developed the software to show the precise relationship among bioactive ingredients, shared genes, and pathways for each CM, including Drynariae Rhizoma. Conclusions This study could increase the precision of CM, and could provide a valuable and convenient software for searching precise relationships among bioactive ingredients, shared genes, and pathways.
ScrumPy is a software package used for the definition and analysis of metabolic models. It is written using the python programming language that is also used as a user interface. ScrumPy has features for both kinetic ...
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ScrumPy is a software package used for the definition and analysis of metabolic models. It is written using the python programming language that is also used as a user interface. ScrumPy has features for both kinetic and structural modelling, but the emphasis is on structural modelling and those features of most relevance to analysis of large (genome-scale) models. The aim is at describing ScrumPy's functionality to readers with some knowledge of metabolic modelling, but implementation, programming and other computational details are omitted. ScrumPy is released under the Gnu Public Licence, and available for download from http://***/ ScrumPy.
Introduction: We present a software frame: work which enables the extension of current methods for the assessment of cognitive fitness using recent technological advances. Background: Screening for cognitive impairmen...
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Introduction: We present a software frame: work which enables the extension of current methods for the assessment of cognitive fitness using recent technological advances. Background: Screening for cognitive impairment is becoming more important as the world's population grows older. Current methods could be enhanced by use of computers. Introduction of new methods to clinics requires basic tools for collection and communication of collected data. Objectives: To develop tools that, with minimal interference, offer new opportunities for the enhancement of the current interview based cognitive examinations. Methods: We suggest methods and discuss process by which established cognitive tests can be adapted for data collection through digitization by pen enabled tablets. We discuss a number of methods for evaluation of collected data, which promise to increase the resolution and objectivity of the common, scoring strategy based on visual inspection. By involving computers in the roles of both instructing and scoring, we aim to increase, the precision and reproducibility of cognitive examination. Results: The tools provided in python framework CogExTools available at http://***/cogextools/ enable the design, application and evaluation of screening tests for assessment of cognitive impairment. The toolbox is a research platform;it represents a foundation for further collaborative development by the wider research community and enthusiasts. It is free to download and use, and open-source. Conclusion: We introduce a set of open-source tools that facilitate the design and development of new cognitive tests for modern technology. We provide these tools in order to enable the adaptation of technology for cognitive examination in clinical settings. The tools provide the first step in a possible transition toward standardized mental state examination using computers.
The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skil...
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The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences graduates, to teach biology skills to computer science students and computational skills to life science students has become usual. In this article, we reported the experience of teaching programming for life science students. Our strategy is composed by explaining basic concepts of algorithms, abstraction of biological problems, and script programming using pythonlanguage. Based on the student's answers to an assessment questionnaire, we conclude that the course achieved positive results. They reported an improvement in their skills in programming and bioinformatics. Furthermore, the students approved the didactic adopted in the classes and evaluation methods (programming exercises and final presentation). This article is useful for other professors who want to implement an initial bioinformatics training for undergraduate or graduate students in life sciences. We believe that the strategies here demonstrated could be reproduced, which could help in the formation of a new generation of bioinformaticians with hybrid abilities in computation and biology. (c) 2019 International Union of Biochemistry and Molecular Biology, 47(3):288-295, 2019.
The general language and opensource python, coupled with its scientific libraries, offers an interesting alternative to Matlab, Java, and C++ for the development of scientific applications. In this context, authors pr...
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The general language and opensource python, coupled with its scientific libraries, offers an interesting alternative to Matlab, Java, and C++ for the development of scientific applications. In this context, authors present the main features of the language, associated tools, architecture and the diversity of its scientific environment. Three applications related to control education are presented: programming from a web browser (for system identification and PID tuning) and embedded computing (for motors control). (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Existing intelligent systems in passenger transportation are investigated, where the critical task is to evaluate passenger flows. Possibilities, accessibility, principles and principles of optimising intelligent pass...
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Existing intelligent systems in passenger transportation are investigated, where the critical task is to evaluate passenger flows. Possibilities, accessibility, principles and principles of optimising intelligent passenger transportation systems of public transport in Smart City are analysed. It is established that the visualization of passenger flows is one of the critical tasks of optimizing routes and improving the quality of passenger transportation by public transport in Smart City. An intelligent system of visual simulation of passenger traffic is proposed, which, based on the neural network operation, allows optimising passenger transportation by public transport in Smart City.
This study provides an analysis of the prospects and priorities for the development of autonomous vehicles in the electronic age and their potential impact on solving the problems associated with road traffic injuries...
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ISBN:
(纸本)9783031609961;9783031609978
This study provides an analysis of the prospects and priorities for the development of autonomous vehicles in the electronic age and their potential impact on solving the problems associated with road traffic injuries. The work highlights the need for priority development of unmanned vehicles as an essential element of modern society. The presented modified learning-capable fuzzy control module demonstrates its promise in solving the car parking problem by using the mean value binding function and the backpropagation algorithm to correct the network weights. The module's adaptability to different parking scenarios and its optimization based on supervised learning highlight its flexibility and accuracy in solving specific problems. Simulation of the module's operation for various initial vehicle positions confirms its ability to function correctly, which makes it a promising tool for automating the parking process, improving traffic safety and ensuring optimal vehicle control.
Simulations can play an important role in science education. Simulations (enabled by powerful numerical and visualization methods) are excellent tools for teaching optical phenomena. The advantages of using simulation...
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ISBN:
(数字)9781510602847
ISBN:
(纸本)9781510602830;9781510602847
Simulations can play an important role in science education. Simulations (enabled by powerful numerical and visualization methods) are excellent tools for teaching optical phenomena. The advantages of using simulations as a tool for teaching optics include, amongst others, (1) giving students an engaging, hands-on active learning experience, (2) helping in understanding equations as physical relationships among experimental measurements and (3) allowing students to investigate phenomena that would not be possible to experiment on in a laboratory or classroom setting. We illustrate the utility of simulations in optics by describing some examples from geometric and physical optics using the open source programminglanguagepython.
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