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The Dexterity Management for Medical Spare Parts Archives  [PDF]
Xin Mai, Zhifeng Ye, Zhe Wei, Changhua Chen, Haili Ding, Ran Wang
Intelligent Information Management (IIM) , 2019, DOI: 10.4236/iim.2019.112003
Abstract: In the field of medical equipment and equipment storage work, when we access accessories and equipment, due to the actual conditions, it causes low efficiency. It is often difficult to quickly and efficiently search by using simple data management software, such as excel. In order to solve the problem, our team used Python development tool to build high-performance retrieval software, which enabled the equipment custodian to maintain or redesign the database according to actual needs. Through actual verification, this system not only can greatly improve the accuracy of device access, but also has good expansion portability, which could manage various multimedia data systems.
Extracting the Atomic Coordinates and Connectivity of Zirconia Nanotubes from PDB Files for Modelling in ANSYS  [PDF]
Ibrahim D. Muhammad, Mokhtar Awang
Advances in Nanoparticles (ANP) , 2014, DOI: 10.4236/anp.2014.33013
Zirconia in the form of nanotubes has potential for application in various areas. However, information on structural and mechanical properties of zirconia nanotubes is not easily available and/ or limited in scope. This challenge requires multi-scale numerical modeling and simulation. As a way out, the structure of (10, 10) zirconia nanotube is modeled using available crystal and molecular software (Material Studio© and CrystalMaker©). The output in the form of PDB file is exported into ANSYS by using a script developed in Python. The output contains only the atomic coordinates and connectivity pattern, which make the conversion process faster and more efficient compared to manual option used when performing similar task.
Design and Implementation of Forage Production Machinery and Equipment Data Sharing Platform Based on NoSQL Database

苏坡, 李辉, 陈红茜, 李超, 李泽, 孟超英
Software Engineering and Applications (SEA) , 2013, DOI: 10.12677/SEA.2013.23012

The forage production machineries and equipments have many different types and the different type owns its special parameters. It is lack of scalability and versatility when building data share platform by relational database, which is not conducive to the information needs of the development of grass industry. Based on non-relational database MongoDB and the characteristics of the forage machinery complex data format, it discussed how to use MongoDB database and data organization form. By using the web.py lightweight framework to develop the web application solve the forage mechanical data interactive access and other practical problems, and realize the sharing of forage production machinery and equipment data.

Pygrass: An Object Oriented Python Application Programming Interface (API) for Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS)
Pietro Zambelli,S?ren Gebbert,Marco Ciolli
ISPRS International Journal of Geo-Information , 2013, DOI: 10.3390/ijgi2010201
Abstract: PyGRASS is an object-oriented Python Application Programming Interface (API) for Geographic Resources Analysis Support System (GRASS) Geographic Information System (GIS), a powerful open source GIS widely used in academia, commercial settings and governmental agencies. We present the architecture of the PyGRASS library, covering interfaces to GRASS modules, vector and raster data, with a focus on the new capabilities that it provides to GRASS users and developers. Our design concept of the module interface allows the direct linking of inputs and outputs of GRASS modules to create process chains, including compatibility checks, process control and error handling. The module interface was designed to be easily extended to work with remote processing services (Web Processing Service (WPS), Web Service Definition Language (WSDL)/Simple Object Access Protocol (SOAP)). The new object-oriented Python programming API introduces an abstract layer that opens the possibility to use and access transparently the efficient raster and vector functions of GRASS that are implemented in C. The design goal was to provide an easy to use, but powerful, Python interface for users and developers who are not familiar with the programming language C and with the GRASS C-API. We demonstrate the capabilities, scalability and performance of PyGRASS with several dedicated tests and benchmarks. We compare and discuss the results of the benchmarks with dedicated C implementations.
Al via il corso base di Python per la programmazione in ambito scientifico
Claudio Arlandini,Alice Invernizzi,Raffaele Ponzini
Bollettino del CILEA , 2009, DOI: 10.1472/bc.v0i113.1458
Abstract: Python è un linguaggio di programmazione potente ma semplice da usare, la cui popolarità è andata via via crescendo nel corso degli ultimi anni. E’ stato creato per risolvere problemi reali, e possiede un'ampia varietà di caratteristiche tipiche di linguaggi di programmazione quali C++ e Java. Questo giustifica una delle sue più rimarchevoli caratteristiche: l'ampio consenso sia nell'ambito degli sviluppatori professionisti di software, in ambiente scientifico e di ricerca, che tra i creativi e gli educatori. Il CILEA propone a partire da ottobre 2009 un corso base di questo linguaggio ponendo l’accento sul suo uso per il calcolo tecnico-scientifico. Python is a programming language, both powerful and easy to use, having a steadily growing success in the recent years. It was created to solve real problems, owning a range of properties typical of languages like C++ or Java. This justifies one of its most remarkable characteristics: the wide consensus both among professional software developers in the scientific and technical field, and among educators and creatives. CILEA introduces, starting October 2009, a basis level course on this language, focusing on its use for scientific and technical computing.
Simulation of Topology Control Algorithms in Wireless Sensor Networks Using Cellular Automata  [PDF]
Stavros Athanassopoulos, Christos Kaklamanis, Gerasimos Kalfountzos, Panagiota Katsikouli, Evi Papaioannou
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.67036

We use cellular automata for simulating a series of topology control algorithms in Wireless Sensor Networks (WSNs) using various programming environments. A cellular automaton is a decentralized computing model providing an excellent platform for performing complex computations using only local information. WSNs are composed of a large number of distributed wireless sensor nodes operating on batteries. The objective of the topology control problem in WSNs is to select an appropriate subset of nodes able to monitor a region at a minimum energy consumption cost and, therefore, extend network lifetime. Herein, we present topology control algorithms based on the selection—in a deterministic or randomized way—of an appropriate subset of sensor nodes that must remain active. We use cellular automata for conducting simulations in order to evaluate the performance of these algorithms and investigate the effect/role of the neighbourhood selection in the efficient application of our algorithms. Furthermore, we implement our simulations in Matlab, Java and Python in order to investigate in which ways the selection of an appropriate programming environment can facilitate experimentation and can result in more efficient application of our algorithms.

Performance Comparison and Simulink Model of Firewall Free BSD and Linux  [PDF]
Fontaine Rafamantanantsoa, Haja Louis Rabetafika
Communications and Network (CN) , 2018, DOI: 10.4236/cn.2018.104015
Abstract: In recent years, the number of users connected to the Internet has experienced a phenomenal growth. The security of systems and networks become essential. That is why the performance of Linux firewall and Berkeley Software Distribution (BSD) are of paramount importance in security systems and networks in all businesses. The following evaluates the firewall based tool that we have developed in Python and Scapy, which performs time measurements by serving packets traversing the firewall test. Several results were presented: the speed of the firewall under FreeBSD in terms of service time compared to the speed of the firewall under Linux as the number of rules increases; the speed of the filtering rule of a firewall stateless in terms of service time compared to the filtering rule of an active firewall gradually as the number of rules increases. Then, for care of simplicity, we have presented the queue M/M/1/K to model the performances of firewalls. The resulting model was validated using Simulink and mean squared error. The analytical model and Simulink of the firewalls are presented in the article.
A Spatial Evapotranspiration Tool at Grid Scale  [PDF]
Sivarajah Mylevaganam, Chittaranjan Ray
Open Journal of Applied Sciences (OJAppS) , 2016, DOI: 10.4236/ojapps.2016.61007
Abstract: The drastic decline in groundwater table and many other detrimental effects in meeting irrigation demand, and the projected population growth have force to evaluate consumptive use or evapo-transpiration (ET), the rate of liquid water transformation to vapor from open water, bare soil, and vegetation, which determines the irrigation demand. As underscored in the literature, Pen-man-Monteith method which is based on aerodynamic and energy balance method is widely used and accepted as the method of estimation of ET. However, the estimation of ET is oftentimes carried out using meteorological data from climate stations. Therefore, such estimation of ET may vary spatially and thus there exists a need to estimate ET spatially at different spatial or grid scales/resolutions. Thus, in this paper, a spatial tool that can geographically encompass all the best available climate datasets to produce ET at different spatial scales is developed. The spatial tool is developed as a Python toolbox in ArcGIS using Python, an open source programming language, and the ArcPy site-package of ArcGIS. The developed spatial tool is demonstrated using the meteorological data from Automated Weather Data Network in Nebraska in 2010.
BlaSTorage: a fast package to parse, manage and store BLAST results
Orsini Massimiliano,Carcangiu Simone
Source Code for Biology and Medicine , 2013, DOI: 10.1186/1751-0473-8-4
Abstract: Background Large-scale sequence studies requiring BLAST-based analysis produce huge amounts of data to be parsed. BLAST parsers are available, but they are often missing some important features, such as keeping all information from the raw BLAST output, allowing direct access to single results, and performing logical operations over them. Findings We implemented BlaSTorage, a Python package that parses multi BLAST results and returns them in a purpose-built object-database format. Unlike other BLAST parsers, BlaSTorage retains and stores all parts of BLAST results, including alignments, without loss of information; a complete API allows access to all the data components. Conclusions BlaSTorage shows comparable speed of more basic parser written in compiled languages as C++ and can be easily integrated into web applications or software pipelines.
A postmortem experience of Indian rock python (Python molurus molurus) that swallowed a whole barking deer
Bhajan Chandra Das,Dibyendu Biswas,Mohammed Forhad Hossain,Shubhagata Das
Veterinary World , 2013, DOI: 10.5455/vetworld.2013.163-165
Abstract: The object of this study was to report a post mortem findings of a female Indian Rock Python with a length of 406 cm (13.32 feet) and approximate weight of 60 kg (including a whole deer that was swallowed by the python), that was brought to the Teaching Veterinary Hospital, Chittagong Veterinary and Animal Sciences University (CVASU) by the Forest Department of Kumira Range Office, Chittagong. The local inhabitants accidently found the python at the forest area of Kumira and they frightenedly injured and killed the snake eventually. The postmortem (PM) examination was performed according to standard protocols. Gross examination revealed bloody discharge was come out through mouth and a couple of skin lacerations observed on the right dorso-lateral part of the abdominal region. The whole barrel-shaped body cavity was opened and whole deer (partially decomposed) was recovered from the stomach. Furthermore, three fractured ribs were found on right thorax. The PM examination team believes that the possible cause of python death was traumatic injury inflicted by the local people. [Vet World 2013; 6(3.000): 163-165]
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