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1

Xi, Cheng, Tan Chao, and Ling Lu. "Designation of Monitoring System with Multi-Touch Based on Configuration Software and Windows Presentation Foundation." Advanced Materials Research 756-759 (September 2013): 218–22. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.218.

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The monitoring system developed by traditional configuration software is extensively used in the industrial field, and application of keyboard & mouse and single-touch is the main operation mode. The multi-touch is a fresh human-computer interaction mode, which can provide the user with safer and more convenient operation experience. This design takes configuration software ControlEase (INSPEC) based on .Net framework in WINDOWS7 as development platform, and next-generation Microsoft graphics system development software WPF (Windows Presentation Foundation) is selected as development tools. WPF multi-touch control is realized based on .NET 4.0, which can be appropriately embedded in various kinds of the configuration software that run on different platforms. WPF multi-touch software frame is accomplished, which can combine with varieties of configuration software to make common configuration software in industrial application creatively own multi-touch functions.
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Zhang, Ying Hua. "Design of Supervisory Control System for Welding Robot Product Line." Advanced Materials Research 971-973 (June 2014): 1187–90. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1187.

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To improve the management level of welding robot product line, a supervisory control system based on C/S(Client/Server) and B/S(Browser/Server) hybrid structure is designed to use for INSPEC configuration software. The system connects the isolated welding robot stations through industrial Ethernet and PPI. The system achieves real-time monitoring and alarm management. It also provides production report function and history record function. The system has already gone into service and the result data have shown its high accuracy and strong reliability in experiments.
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Yu, Zehao. "Two Improved Topic Word Detection Algorithms." International Journal of Software Engineering and Knowledge Engineering 30, no. 08 (August 2020): 1097–118. http://dx.doi.org/10.1142/s0218194020400173.

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Topic word extraction is the task of identifying single or multi-word expressions that represent the main topics of a document. In this paper, two improved algorithms for extracting and discovering topic words are proposed in the Rapid Topic word Detection (RTD) Algorithm and CategoryTextRank (CTextRank) Algorithm, which can effectively obtain information by extracting and filtering the topic words in the text. The algorithms overcome the shortcomings of traditional topic words discovering algorithms that require deep linguistic knowledge, domain or language specific annotated corpora. The two algorithms we proposed can process both short and long text. The biggest advantage of the algorithms is that they are unsupervised machine learning algorithms. They need not be trained to process text directly to get topic words. The Accuracy rate, recall rate and F-measure index have been greatly improved when using the two algorithms which show that the results obtained compare favorably with previously published results on datasets Inspec and SemEval. The first algorithm Rapid Topicword Detection improves the metrics compared to PositionRank and TextRank, the second algorithm CategoryTextRank improves the metrics compared to TextRank, SingleRank and TF-IDF.
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Delvaux, Nicolas, Katrien Van Thienen, Annemie Heselmans, Stijn Van de Velde, Dirk Ramaekers, and Bert Aertgeerts. "The Effects of Computerized Clinical Decision Support Systems on Laboratory Test Ordering: A Systematic Review." Archives of Pathology & Laboratory Medicine 141, no. 4 (February 28, 2017): 585–95. http://dx.doi.org/10.5858/arpa.2016-0115-ra.

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Context.— Inappropriate laboratory test ordering has been shown to be as high as 30%. This can have an important impact on quality of care and costs because of downstream consequences such as additional diagnostics, repeat testing, imaging, prescriptions, surgeries, or hospital stays. Objective.— To evaluate the effect of computerized clinical decision support systems on appropriateness of laboratory test ordering. Data Sources.— We used MEDLINE, Embase, CINAHL, MEDLINE In-Process and Other Non-Indexed Citations, Clinicaltrials.gov, Cochrane Library, and Inspec through December 2015. Investigators independently screened articles to identify randomized trials that assessed a computerized clinical decision support system aimed at improving laboratory test ordering by providing patient-specific information, delivered in the form of an on-screen management option, reminder, or suggestion through a computerized physician order entry using a rule-based or algorithm-based system relying on an evidence-based knowledge resource. Investigators extracted data from 30 papers about study design, various study characteristics, study setting, various intervention characteristics, involvement of the software developers in the evaluation of the computerized clinical decision support system, outcome types, and various outcome characteristics. Conclusions.— Because of heterogeneity of systems and settings, pooled estimates of effect could not be made. Data showed that computerized clinical decision support systems had little or no effect on clinical outcomes but some effect on compliance. Computerized clinical decision support systems targeted at laboratory test ordering for multiple conditions appear to be more effective than those targeted at a single condition.
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Jia Xu. "Making software timing properties easier to inspect and verify." IEEE Software 20, no. 4 (July 2003): 34–41. http://dx.doi.org/10.1109/ms.2003.1207452.

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Bellamy, C. L. "SOFTWARE REVIEW." Coleopterists Bulletin 54, no. 3 (September 2000): 409–10. http://dx.doi.org/10.1649/0010-065x(2000)054[0409:sr]2.0.co;2.

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Roper, T. R., D. L. Mahr, and P. Kaarakka. "Cranberry Crop Manager Computer Software Package." HortScience 31, no. 4 (August 1996): 664b—664. http://dx.doi.org/10.21273/hortsci.31.4.664b.

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Cranberry Crop Manager is a predictive software package for commercial cranberry growers. The package consists of linked modules. Predictive models for insect, disease, and weed development are the most important features. With appropriate weather and scouting information the models will make control or no control recommendations. To support the predictive models the program will maintain weather records of air temperatures, evapotranspiration, irrigation, and rainfall. Data can be imported or entered by hand. The program will maintain bed records including pesticide applicators, pesticide and fertilizer applications, and scouting reports. Output options include screen or printed reports or data export. An electronic encyclopedia of cranberry disease, insect and weed pests on CD will accompany the package. Minimum computer requirements are 486 CPU, 6 MB RAM, 6 MB hard drive space.
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Paulo, P. V., F. A. Branco, and J. de Brito. "Using Orthophotography Based on BuildingsLife Software to Inspect Building Facades." Journal of Performance of Constructed Facilities 28, no. 5 (October 2014): 04014019. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000536.

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AlHamaydeh, Mohammad, Mohamad Najib, and Sameer Alawnah. "INSPECT: A graphical user interface software package for IDARC-2D." SoftwareX 5 (2016): 243–51. http://dx.doi.org/10.1016/j.softx.2016.10.004.

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Sales, Gabriel Al–Samir Guimarães, Edson Almeida Silva Júnior, and Adeilson Marques da Silva Cardoso. "THEBUG: SOFTWARE MOBILE PARA IDENTIFICAÇÃO DE INSETOS/THEBUG: MOBILE SOFTWARE FOR INSECT IDENTIFICATION." Brazilian Journal of Development 7, no. 1 (2021): 5255–64. http://dx.doi.org/10.34117/bjdv7n1-355.

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Ramalingam, Vijay, Tom Fink, John Seiner, Douglas Streett, and Alan Lax. "Design of LabVIEW-based software for insect acoustic research." Journal of the Acoustical Society of America 122, no. 5 (2007): 2947. http://dx.doi.org/10.1121/1.2942496.

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Álvarez, A. J., R. M. Oliva, and D. L. Valera. "Software for the geometric characterisation of insect-proof screens." Computers and Electronics in Agriculture 82 (March 2012): 134–44. http://dx.doi.org/10.1016/j.compag.2012.01.001.

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13

Zhao, Luyin, Fadi P. Deek, and James A. McHugh. "Strategies for Improving Open Source Software Usability." International Journal of Open Source Software and Processes 1, no. 4 (October 2009): 49–64. http://dx.doi.org/10.4018/jossp.2009100103.

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The Open Source Software (OSS) movement has had enormous impact on how software is created and continues to attract interest from researchers, software developers and users. A factor that may be inhibiting OSS from achieving greater success is usability, a fundamental characteristic to user acceptance of software. Motivated by the uniquely user-driven nature of the open source model and the extensive user base that participates in OSS projects, the authors propose an exploratory learning method and an associated web-based inspection environment that enables non-experts to contribute to open source usability inspection. This tool uses patternbased usability guidelines to help identify usability knowledge during inspection. The method emphasizes outlining and exploration features which the authors have formally evaluated and the results of which are described. Data collected from a qualitative study indicates positive impact of the proposed method in helping end-users inspect software and achieve better results in discovering usability problems.
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Han, Liang, Yong Ming Liu, and Feng Xiao. "A Study and Discussion on Inspection Method of Electrode Defects of the Li-Ion Power Battery." Advanced Materials Research 765-767 (September 2013): 1916–19. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1916.

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The shortage of energy prompted the Li-ion power battery to become the new alternative energy. As the main body of the Li-ion power battery, the electrode has a great influence on safety, performance, cycle life and capacity of the battery. Thus, it is necessary to inspect surface defects of the electrode precisely. Then, a new inspection method is proposed in this paper. In the method, the machine vision based on smart camera and combined with LabVIEW which is the graphical and virtual programming software is applied to inspect defects of the electrode. This combination of hardware and software is helpful to improve the efficiency of the electrode inspection.
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Meier, Rudolf, and Farhan B. Ali. "Software Review." Systematic Entomology 30, no. 1 (January 2005): 179–82. http://dx.doi.org/10.1111/j.1365-3113.2005.00297.x.

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Tourtellot, Michael K. "Software Review." Journal of Insect Behavior 5, no. 3 (May 1992): 415–16. http://dx.doi.org/10.1007/bf01049850.

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17

Jing-dong, Liu. "Putting insect specimens in order using the spreadsheet application software." Annual Report of The Kansai Plant Protection Society 36 (1994): 33–34. http://dx.doi.org/10.4165/kapps1958.36.0_33.

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POULY, MARC. "NENOK — A SOFTWARE ARCHITECTURE FOR GENERIC INFERENCE." International Journal on Artificial Intelligence Tools 19, no. 01 (February 2010): 65–99. http://dx.doi.org/10.1142/s0218213010000042.

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Computing inference from a given knowledgebase is one of the key competences of computer science. Therefore, numerous formalisms and specialized inference routines have been introduced and implemented for this task. Typical examples are Bayesian networks, constraint systems or different kinds of logic. It is known today that these formalisms can be unified under a common algebraic roof called valuation algebra. Based on this system, generic inference algorithms for the processing of arbitrary valuation algebras can be defined. Researchers benefit from this high level of abstraction to address open problems independently of the underlying formalism. It is therefore all the more astonishing that this theory did not find its way into concrete software projects. Indeed, all modern programming languages for example provide generic sorting procedures, but generic inference algorithms are still mythical creatures. NENOK breaks a new ground and offers an extensive library of generic inference tools based on the valuation algebra framework. All methods are implemented as distributed algorithms that process local and remote knowledgebases in a transparent manner. Besides its main purpose as software library, NENOK also provides a sophisticated graphical user interface to inspect the inference process and the involved graphical structures. This can be used for educational purposes but also as a fast prototyping architecture for inference formalisms.
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Ratnayake, Malika Nisal, Adrian G. Dyer, and Alan Dorin. "Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring." PLOS ONE 16, no. 2 (February 11, 2021): e0239504. http://dx.doi.org/10.1371/journal.pone.0239504.

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Monitoring animals in their natural habitat is essential for advancement of animal behavioural studies, especially in pollination studies. Non-invasive techniques are preferred for these purposes as they reduce opportunities for research apparatus to interfere with behaviour. One potentially valuable approach is image-based tracking. However, the complexity of tracking unmarked wild animals using video is challenging in uncontrolled outdoor environments. Out-of-the-box algorithms currently present several problems in this context that can compromise accuracy, especially in cases of occlusion in a 3D environment. To address the issue, we present a novel hybrid detection and tracking algorithm to monitor unmarked insects outdoors. Our software can detect an insect, identify when a tracked insect becomes occluded from view and when it re-emerges, determine when an insect exits the camera field of view, and our software assembles a series of insect locations into a coherent trajectory. The insect detecting component of the software uses background subtraction and deep learning-based detection together to accurately and efficiently locate the insect among a cluster of wildflowers. We applied our method to track honeybees foraging outdoors using a new dataset that includes complex background detail, wind-blown foliage, and insects moving into and out of occlusion beneath leaves and among three-dimensional plant structures. We evaluated our software against human observations and previous techniques. It tracked honeybees at a rate of 86.6% on our dataset, 43% higher than the computationally more expensive, standalone deep learning model YOLOv2. We illustrate the value of our approach to quantify fine-scale foraging of honeybees. The ability to track unmarked insect pollinators in this way will help researchers better understand pollination ecology. The increased efficiency of our hybrid approach paves the way for the application of deep learning-based techniques to animal tracking in real-time using low-powered devices suitable for continuous monitoring.
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Sulír, Matúš, Michaela Bačíková, Matej Madeja, Sergej Chodarev, and Ján Juhár. "Large-Scale Dataset of Local Java Software Build Results." Data 5, no. 3 (September 21, 2020): 86. http://dx.doi.org/10.3390/data5030086.

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When a person decides to inspect or modify a third-party software project, the first necessary step is its successful compilation from source code using a build system. However, such attempts often end in failure. In this data descriptor paper, we provide a dataset of build results of open source Java software systems. We tried to automatically build a large number of Java projects from GitHub using their Maven, Gradle, and Ant build scripts in a Docker container simulating a standard programmer’s environment. The dataset consists of the output of two executions: 7264 build logs from a study executed in 2016 and 7233 logs from the 2020 execution. In addition to the logs, we collected exit codes, file counts, and various project metadata. The proportion of failed builds in our dataset is 38% in the 2016 execution and 59% in the 2020 execution. The published data can be helpful for multiple purposes, such as correlation analysis of factors affecting build success, build failure prediction, and research in the area of build breakage repair.
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21

Xiu, Xiao Yu, and Guo Hui Zhou. "A Novel Architecture of Smart Camera." Advanced Materials Research 694-697 (May 2013): 1953–57. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1953.

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The system hardware and software architecture of smart camera does not follow a common standard subject to their versatile application field. This paper presents architecture of smart camera in order to making the smart camera unified and applied to typical fields. It provides a hardware and software case to inspect the steel ball quality in the real time. The result shows that the architecture can meet the requirements of smart camera in several application fields.
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Tiengo, Alessandra, Lorenzo Pasotti, Nicola Barbarini, and Paolo Magni. "PhosphoHunter: An Efficient Software Tool for Phosphopeptide Identification." Advances in Bioinformatics 2015 (January 12, 2015): 1–12. http://dx.doi.org/10.1155/2015/382869.

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Phosphorylation is a protein posttranslational modification. It is responsible of the activation/inactivation of disease-related pathways, thanks to its role of “molecular switch.” The study of phosphorylated proteins becomes a key point for the proteomic analyses focused on the identification of diagnostic/therapeutic targets. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) is the most widely used analytical approach. Although unmodified peptides are automatically identified by consolidated algorithms, phosphopeptides still require automated tools to avoid time-consuming manual interpretation. To improve phosphopeptide identification efficiency, a novel procedure was developed and implemented in a Perl/C tool called PhosphoHunter, here proposed and evaluated. It includes a preliminary heuristic step for filtering out the MS/MS spectra produced by nonphosphorylated peptides before sequence identification. A method to assess the statistical significance of identified phosphopeptides was also formulated. PhosphoHunter performance was tested on a dataset of 1500 MS/MS spectra and it was compared with two other tools: Mascot and Inspect. Comparisons demonstrated that a strong point of PhosphoHunter is sensitivity, suggesting that it is able to identify real phosphopeptides with superior performance. Performance indexes depend on a single parameter (intensity threshold) that users can tune according to the study aim. All the three tools localized >90% of phosphosites.
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Yazdanparast, Ehsan, Antonio Dos Anjos, Deborah Garcia, Corinne Loeuillet, Hamid Reza Shahbazkia, and Baptiste Vergnes. "INsPECT, an Open-Source and Versatile Software for Automated Quantification of (Leishmania) Intracellular Parasites." PLoS Neglected Tropical Diseases 8, no. 5 (May 15, 2014): e2850. http://dx.doi.org/10.1371/journal.pntd.0002850.

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Müller-Petke, Mike, Martina Braun, Marian Hertrich, Stephan Costabel, and Jan Walbrecker. "MRSmatlab — A software tool for processing, modeling, and inversion of magnetic resonance sounding data." GEOPHYSICS 81, no. 4 (July 2016): WB9—WB21. http://dx.doi.org/10.1190/geo2015-0461.1.

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MRSmatlab is a manufacturer-independent software tool for processing, modeling, and inversion of surface nuclear magnetic resonance data. Intended as an open platform, MRSmatlab has been growing over the past few years by connecting researchers and making the latest research available to the community. We have developed insights into yet unpublished numerical implementations of signal processing and complex inversion. In addition, we have evaluated a field example demonstrating the need to carefully inspect all the steps of handling surface nuclear magnetic resonance data. MRSmatlab can be obtained by contacting the authors.
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Hładowski, Łukasz, Błażej Cichy, Krzysztof Gałkowski, and Eric Rogers. "On the Development of SCILAB Compatible Software for the Analysis and Control of Repetitive Processes." International Journal of Applied Mathematics and Computer Science 18, no. 3 (September 1, 2008): 377–87. http://dx.doi.org/10.2478/v10006-008-0034-7.

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On the Development of SCILAB Compatible Software for the Analysis and Control of Repetitive ProcessesIn this paper further results on the development of a Scilab compatible software package for the analysis and control of repetitive processes is described. The core of the package consists of a simulation tool which enables the user to inspect the response of a given example to an input, design a control law for stability and/or performance, and also simulate the response of a controlled process to a specified reference signal.
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Chen, Hui, and Xin Li Yang. "Research on Application of Information Technology in Vegetable Cultivation of High Yield and Quality." Advanced Materials Research 926-930 (May 2014): 1179–82. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1179.

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The information technology which is applied in the vegetable cultivation of high yield and quality is called the agricultural expert system. Aiming at developing a agricultural expert system, this paper discusses the research status of agricultural expert system (AES) and its software test tool, and outlines the application of Multi-Agent theory and technology. To address the problems existing in the current AES software development, this paper puts forward the research idea of Multi-Agent-based AES software test tool to inspect its standardization, fault tolerance and logic error, while provides relative technical practices. This paper also introduces the design, development and function of AES software test tool as well as application of Agent technology, and further discusses the advantages of developing the tool by utilizing Multi-Agent technology.
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Yakura, Hiromu, Youhei Akimoto, and Jun Sakuma. "Generate (Non-Software) Bugs to Fool Classifiers." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 1070–78. http://dx.doi.org/10.1609/aaai.v34i01.5457.

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In adversarial attacks intended to confound deep learning models, most studies have focused on limiting the magnitude of the modification so that humans do not notice the attack. On the other hand, during an attack against autonomous cars, for example, most drivers would not find it strange if a small insect image were placed on a stop sign, or they may overlook it. In this paper, we present a systematic approach to generate natural adversarial examples against classification models by employing such natural-appearing perturbations that imitate a certain object or signal. We first show the feasibility of this approach in an attack against an image classifier by employing generative adversarial networks that produce image patches that have the appearance of a natural object to fool the target model. We also introduce an algorithm to optimize placement of the perturbation in accordance with the input image, which makes the generation of adversarial examples fast and likely to succeed. Moreover, we experimentally show that the proposed approach can be extended to the audio domain, for example, to generate perturbations that sound like the chirping of birds to fool a speech classifier.
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Haisjackl, Cornelia, Pnina Soffer, Shao Yi Lim, and Barbara Weber. "How do humans inspect BPMN models: an exploratory study." Software & Systems Modeling 17, no. 2 (October 7, 2016): 655–73. http://dx.doi.org/10.1007/s10270-016-0563-8.

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Righelli, Dario, and Claudia Angelini. "Easyreporting simplifies the implementation of Reproducible Research layers in R software." PLOS ONE 16, no. 5 (May 10, 2021): e0244122. http://dx.doi.org/10.1371/journal.pone.0244122.

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During last years “irreproducibility” became a general problem in omics data analysis due to the use of sophisticated and poorly described computational procedures. For avoiding misleading results, it is necessary to inspect and reproduce the entire data analysis as a unified product. Reproducible Research (RR) provides general guidelines for public access to the analytic data and related analysis code combined with natural language documentation, allowing third-parties to reproduce the findings. We developed easyreporting, a novel R/Bioconductor package, to facilitate the implementation of an RR layer inside reports/tools. We describe the main functionalities and illustrate the organization of an analysis report using a typical case study concerning the analysis of RNA-seq data. Then, we show how to use easyreporting in other projects to trace R functions automatically. This latter feature helps developers to implement procedures that automatically keep track of the analysis steps. Easyreporting can be useful in supporting the reproducibility of any data analysis project and shows great advantages for the implementation of R packages and GUIs. It turns out to be very helpful in bioinformatics, where the complexity of the analyses makes it extremely difficult to trace all the steps and parameters used in the study.
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Yulianti, Eka, Zumrotun Ni’mah, and Lili Shafdila Nursin. "Insect Atlas as a Learning Resource for Diversity of Insect." Proceeding International Conference on Science and Engineering 2 (March 1, 2019): 55–59. http://dx.doi.org/10.14421/icse.v2.55.

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Diversity of insect is a biological theme that allows direct knowledge and experience of learning for student. The author describes 24 order and 34 species of JAZ (Jogja Adventure Zone), Candi Abang, and Liwa Lampung Barat. The research on insect as a source of learning is rarely done. Learning resources in the form of insect diversity atlases can help students to understand insects completely. The author develops a colorful atlas of an insect order using Corel Draw X5 software through the identification o f indicator to be achieved, preparation of materials, layout design, and product printing. the product was assessed by 1 material expert, 1 media expert, 3 peer reviewer, 2 biology teachers and tested by 15 high school/MA students using checklist questionnaire. The result of the overall assessment of the colored atlas of the insect’s diversity showed very good qualifications with an assessment percentage 88,9% and the response of students showed very good qualifications with a percentage 91,2%.
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White, Brian T. "The Virtual Genetics Lab II: Improvements to a Freely Available Software Simulation of Genetics." American Biology Teacher 74, no. 5 (May 1, 2012): 336–37. http://dx.doi.org/10.1525/abt.2012.74.5.9.

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The Virtual Genetics Lab II (VGLII) is an improved version of the highly successful genetics simulation software, the Virtual Genetics Lab (VGL). The software allows students to use the techniques of genetic analysis to design crosses and interpret data to solve realistic genetics problems involving a hypothetical diploid insect. This is a brief outline of the program and its new features; details are available at http://intro.bio.umb.edu/vgl/.
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Son, Keunbada, Wan-Sun Lee, and Kyu-Bok Lee. "Effect of Different Software Programs on the Accuracy of Dental Scanner Using Three-Dimensional Analysis." International Journal of Environmental Research and Public Health 18, no. 16 (August 10, 2021): 8449. http://dx.doi.org/10.3390/ijerph18168449.

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This in vitro study aimed to evaluate the 3D analysis for complete arch, half arch, and tooth preparation region by using four analysis software programs. The CAD reference model (CRM; N = 1 per region) and CAD test models (CTMs; N = 20 per software) of complete arch, half arch, and tooth preparation were obtained by using scanners. For both CRM and CTMs, mesh data other than the same area were deleted. For 3D analysis, four analysis software programs (Geomagic control X, GOM Inspect, Cloudcompare, and Materialise 3-matic) were used in the alignment of CRM and CTMs as well as in the 3D comparison. Root mean square (RMS) was regarded as the result of the 3D comparison. One-way analysis of variance and Tukey honestly significant difference tests were performed for statistical comparison of four analysis software programs (α = 0.05). In half-arch and tooth preparation region, the four analysis software programs showed a significant difference in RMS values (p < 0.001), but in complete-arch region, no significant difference was found among the four software programs (p = 0.139). As the area of the virtual cast for 3D analysis becomes smaller, variable results are obtained depending on the software program used, and the difference in results among software programs are not considered in the 3D analysis for complete-arch region.
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Son, Ji-Hwan, Young-Cheol Choi, and Hyo-Sung Ahn. "Bio-insect and artificial robot interaction using cooperative reinforcement learning." Applied Soft Computing 25 (December 2014): 322–35. http://dx.doi.org/10.1016/j.asoc.2014.09.002.

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Neto, Arnaldo Fim, Rosana A. Bassani, Pedro X. Oliveira, and José W. M. Bassani. "BugHeart: software for online monitoring and quantitation of contractile activity of the insect heart." Research on Biomedical Engineering 35, no. 3-4 (November 9, 2019): 235–40. http://dx.doi.org/10.1007/s42600-019-00026-x.

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Jauhari, Khairul, and Mahfudz Al Huda. "The Geometric Accuracy of Complex Surface Using 5-Axis Turn-mill Machine." Jurnal Keteknikan Pertanian Tropis dan Biosistem 8, no. 3 (December 1, 2020): 253–62. http://dx.doi.org/10.21776/ub.jkptb.2020.008.03.07.

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This paper presents an analysis model for geometric accuracy measurement of marine propeller blades. Geometric accuracy of marine propeller models, which has been finished by machining processes are measured and analyzed using GOM 3D photo-scanning peripheral and software. The methods we used are firstly, marine propeller blades are scanned by GOM Scanner and then the effects of cutting parameters, that is step-over variation on the geometric accuracy are investigated. Inspection of geometric accuracy is performed by comparing the result of 3D scanning measurement of finished propeller with CAD design data using GOM Inspect 2016 software. The results showed that greater step-over value, the deviation value tends to be smaller. Finally, this method is proven effective in measuring by producing similar trends at two measurement position points.
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Tanahashi, Masahiko, and Takema Fukatsu. "Natsumushi : Image measuring software for entomological studies." Entomological Science 21, no. 3 (June 7, 2018): 347–60. http://dx.doi.org/10.1111/ens.12315.

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Badejo, Oluwatobi, Oksana Skaldina, Aleksei Gilev, and Jouni Sorvari. "Benefits of insect colours: a review from social insect studies." Oecologia 194, no. 1-2 (September 2, 2020): 27–40. http://dx.doi.org/10.1007/s00442-020-04738-1.

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Abstract Insect colours assist in body protection, signalling, and physiological adaptations. Colours also convey multiple channels of information. These channels are valuable for species identification, distinguishing individual quality, and revealing ecological or evolutionary aspects of animals’ life. During recent years, the emerging interest in colour research has been raised in social hymenopterans such as ants, wasps, and bees. These insects provide important ecosystem services and many of those are model research organisms. Here we review benefits that various colour types give to social insects, summarize practical applications, and highlight further directions. Ants might use colours principally for camouflage, however the evolutionary function of colour in ants needs more attention; in case of melanin colouration there is evidence for its interrelation with thermoregulation and pathogen resistance. Colours in wasps and bees have confirmed linkages to thermoregulation, which is increasingly important in face of global climate change. Besides wasps use colours for various types of signalling. Colour variations of well chemically defended social insects are the mimetic model for unprotected organisms. Despite recent progress in molecular identification of species, colour variations are still widely in use for species identification. Therefore, further studies on variability is encouraged. Being closely interconnected with physiological and biochemical processes, insect colouration is a great source for finding new ecological indicators and biomarkers. Due to novel digital imaging techniques, software, and artificial intelligence there are emerging possibilities for new advances in this topic. Further colour research in social insects should consider specific features of sociality.
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38

Byers, John A. "Analysis of Insect and Plant Colors in Digital Images Using Java Software on the Internet." Annals of the Entomological Society of America 99, no. 5 (September 1, 2006): 865–74. http://dx.doi.org/10.1603/0013-8746(2006)99[865:aoiapc]2.0.co;2.

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39

Legaspi, Jesusa Crisostomo, and Benjamin C. Legaspi. "Bioclimatic Model of the Spined Soldier Bug (Heteroptera: Pentatomidae) Using CLIMEX: Testing Model Predictions at Two Spatial Scales." Journal of Entomological Science 42, no. 4 (October 1, 2007): 533–47. http://dx.doi.org/10.18474/0749-8004-42.4.533.

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A bioclimatic model of the polyphagous predator, Podisus maculiventris (Say) (Heteroptera: Pentatomidae), was developed using CLIMEX software (Hearne Scientific Software, Melbourne, Australia). Calibration distribution was fitted using known distribution records for the United States and Canada, after which the model was used to generate a potential distribution map for the entire world. As expected, potential distribution maps agreed with known distribution records for North America. However, apparent mismatches were found for distributions in Europe, South America, midAfrica, and Southeast Asia. Using historical weather data, CLIMEX “growth indices” (measures of climate suitability for insect development) were compared against multiyear pheromone trap counts in the northern (Indiana) and southern (Florida) United States. Growth index curves did not appear to match pheromone trap data in either location when examined separately by year, location and insect sex. However, a weak relationship was found between trap counts and growth index when data were pooled across years, locations and sex.
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Yang, Geunseok, and Byungjeong Lee. "Utilizing Topic-Based Similar Commit Information and CNN-LSTM Algorithm for Bug Localization." Symmetry 13, no. 3 (March 2, 2021): 406. http://dx.doi.org/10.3390/sym13030406.

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With the use of increasingly complex software, software bugs are inevitable. Software developers rely on bug reports to identify and fix these issues. In this process, developers inspect suspected buggy source code files, relying heavily on a bug report. This process is often time-consuming and increases the cost of software maintenance. To resolve this problem, we propose a novel bug localization method using topic-based similar commit information. First, the method determines similar topics for a given bug report. Then, it extracts similar bug reports and similar commit information for these topics. To extract similar bug reports on a topic, a similarity measure is calculated for a given bug report. In the process, for a given bug report and source code, features shared by similar source codes are classified and extracted; combining these features improves the method’s performance. The extracted features are presented to the convolutional neural network’s long short-term memory algorithm for model training. Finally, when a bug report is submitted to the model, a suspected buggy source code file is detected and recommended. To evaluate the performance of our method, a baseline performance comparison was conducted using code from open-source projects. Our method exhibits good performance.
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Mirhosseini, Mohammad Ali, Yaghoub Fathipour, and Gadi V. P. Reddy. "Arthropod Development’s Response to Temperature: a Review and New Software for Modeling." Annals of the Entomological Society of America 110, no. 6 (September 23, 2017): 507–20. http://dx.doi.org/10.1093/aesa/sax071.

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42

Yao, Fu Lin, Liang Yu Li, and Jian Feng Yue. "Motion Analysis and Research of Manipulator in Unilateral Suture Robot." Applied Mechanics and Materials 365-366 (August 2013): 775–79. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.775.

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To manufacture three-dimensional textile composite preform using method of unilateral suture technique, a unilateral suture manipulator system has been designed. In order to inspect whether it can meet the design requirements , this article establish the kinematic model of the major institutions by using vector method,and use simulation software to analysis the kinematics of thread-leading, thread-hooking and thead-taking-up mechanism. Accordingly, law of motion graphs of the mechanism can be reflected, and the simulation results demonstrate the design of unilateral suture manipulator which are reasonable and efficient.
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43

Gentile, James E., and Samuel S. C. Rund. "A Framework for Modeling Genetically-Aware Mosquito Vectors for Sterile Insect Technique." International Journal of Agent Technologies and Systems 3, no. 3 (July 2011): 49–65. http://dx.doi.org/10.4018/jats.2011070104.

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Vector-borne diseases account for 16% of the global infectious disease burden (WHO, 2004). Many of these debilitating and sometimes fatal diseases are transmitted between human hosts by mosquitoes. Mosquito-targeted intervention methods have controlled or eliminated mosquito-borne diseases from many regions of the world but regions of constant transmission (holoendemic areas) still exist (Molineaux et al., 1980). To eliminate these illnesses, researchers need to understand how interventions impact a mosquito population so as to identify potential avenues for new intervention techniques. This paper presents a software architecture that allows researchers to simulate transgenic interventions on a mosquito population. The authors present specifications for a model that captures these transgenic aspects and present a software architecture that meets those needs. The authors also provide a proof of concept and some observations about sterile insect technique strategies as simulated by this architecture.
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Hall, Martin J. R., and Daniel Martín-Vega. "Visualization of insect metamorphosis." Philosophical Transactions of the Royal Society B: Biological Sciences 374, no. 1783 (August 26, 2019): 20190071. http://dx.doi.org/10.1098/rstb.2019.0071.

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Metamorphosis and, in particular, holometaboly, the development of organisms through a series of discrete stages (egg, larva, pupa, adult) that hardly resemble one another but are finely adapted to specific roles in the life cycle of the organism, has fascinated and mystified humans throughout history. However, it can be difficult to visualize the dramatic changes that occur during holometaboly without destructive sampling, traditionally through histology. However, advances in imaging technologies developed mainly for medical sciences have been applied to studies of insect metamorphosis over the past couple of decades. These include micro-computed tomography, magnetic resonance imaging and optical coherence tomography. A major advantage of these techniques is that they are rapid and non-destructive, enabling virtual dissection of an organism in any plane by anyone who has access to the image files and the necessary software. They can also be applied in some cases to visualize metamorphosis in vivo , including the periods of most rapid and dramatic morphological change. This review focusses on visualizing the intra-puparial holometabolous metamorphosis of cyclorraphous flies (Diptera), including the primary model organism for all genetic investigations, Drosophila melanogaster , and the blow flies of medical, veterinary and forensic importance, but also discusses similar studies on other insect orders. This article is part of the theme issue ‘The evolution of complete metamorphosis’.
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45

Chen, Yifan, Yuejiao Sun, and Wotao Yin. "Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers." Mathematical Programming 176, no. 1-2 (April 27, 2019): 39–67. http://dx.doi.org/10.1007/s10107-019-01397-w.

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46

Simonović, Milan, Dragan Lazarević, Marko Simonović, and Bogdan Nedić. "Comparison of measurement using optical measuring systems and coordinate measuring machine." IMK-14 - Istrazivanje i razvoj 26, no. 2 (2020): 35–41. http://dx.doi.org/10.5937/imk2002035s.

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The paper presents the results of measuring the gearbox housing with the ATOS optical measuring system, the TRITOP system and the "TESA micro-hit 4-5-4" coordinate measuring machine. The aim of the study was to determine the differences in modern measuring systems and whether these differences affect the final measurement result when controlling parts of a complex configuration. At the beginning of the paper, the way of functioning of the used measuring systems and the results of research in this area are described. GOM Inspect software used for the ATOS and TRITOP measuring systems, while PC DMIS software used for the coordinate measuring machine. The analysis of the obtained results showed that there are significant differences in the measurement results and that the measuring systems used can't be applied with the same success to the measurement of parts of complex configuration such as the gearbox housing.
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Shibin, Konstantin, Sergei Devadze, Vjatseslav Rosin, Artur Jutman, and Raimund Ubar. "Open-Source JTAG Simulator Bundle for Labs." International Journal of Electronics and Telecommunications 58, no. 3 (September 2012): 233–39. http://dx.doi.org/10.2478/v10177-012-0032-4.

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Abstract This paper presents a software/hardware bundle for studying, training and research related to IEEE 1149.1 Boundary Scan (BS) standard. The presented package includes a software environment Trainer 1149 that is capable to graphically visualize BS facilities and perform fine-grain simulation of BS test process. Trainer 1149 provides a cozy graphical design and simulation environment of BS-enabled chips and non-BS clusters. It provides the user with a full flexibility in working with any type of BS structures by supporting standard formats such as Boundary Scan Description Language and SVF (for defining test patterns). A special fault simulation mode allows injecting various types of interconnection faults to simulate their impact and inspect them using interactive tools. Trainer 1149 is the main component of a recent goJTAG initiative that aims at bringing JTAG tools closer to the user for both learning and experimental work purposes. The software part is implemented in multi-platform Java environment and distributed as an open-source freeware. Using a convenient low-cost USB-JTAG controller, one can also test real defects in real hardware. Such combination of features is unique for a public domain BS package.
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Zhou, Cong Ling, Jun Qiang Wu, Yong Qiang Wang, and Zeng Pu Xu. "A Soldering Defect Inspection System of a Special Integrated Circuit Board Based on Computer Vision." Advanced Materials Research 650 (January 2013): 543–47. http://dx.doi.org/10.4028/www.scientific.net/amr.650.543.

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This paper introduces a soldering defect inspection system for a special integrated circuit board aided by the computer vision. Space occluder is fixed on this special integrated circuit board, which makes the light blocked from the CCD camera to the chip pins to be inspected. This system can inspect the light blocked soldering defects of the chip pins through the structure design of hardware system and the software system. It is a cheap but automatic soldering defect inspecting system, and can do the soldering defect detection instead of manual visual inspection, and improve the detection speed and stability.
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DONOHO, DAVID L., and XIAOMING HUO. "BEAMLAB AND REPRODUCIBLE RESEARCH." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 04 (December 2004): 391–414. http://dx.doi.org/10.1142/s0219691304000615.

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In the first 'Wavelets and Statistics' conference proceedings 1, our group published 'Wavelab and Reproducible Research', in which we advocated using the internet for publication of software and data so that research results could be duplicated by others. Much has happened in the last decade that bears on the notion of reproducibility, and we will review our experience. We will also describe a new software package BEAMLAB containing routines for multiscale geometric analysis, and describe some of its capabilities. BEAMLAB makes available, in one package, all the code to reproduce all the figures in our recently published articles on beamlets, curvelets and ridgelets. The interested reader can inspect the source code to see what algorithms were used, and how parameters were set to produce the figures, and will then be able to modify the source codes to produce variations of our results. Some new examples of numerical studies based on BEAMLAB are provided here.
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Demasi, Luciano, Anthony N. Palazotto, Alex Hollenbeck, and Rauno Cavallaro. "Exploratory Structural Investigation of a Hawkmoth-Inspired MAV's Thorax." International Journal of Micro Air Vehicles 4, no. 4 (December 2012): 291–304. http://dx.doi.org/10.1260/1756-8293.4.4.291.

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Manduca Sexta present excellent flight performances which make this insect an ideal candidate for bio-inspired engineered micro air vehicles. The actual insect presents an energetically very efficient thorax-wing flight system which needs to be fully understood for an effective design of artificial flying machines. This work discusses a preliminary finite element model which simulates the thorax-wing system and the muscles involved in the flapping motion. Both upstroke and downstroke conditions are statically analyzed with the application of load sets that simulate the contractions of the dorso-ventral and dorso-longitudinal muscles (indirect flight). Comparison with commercial software and experimental results is also presented and discussed.
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