Academic literature on the topic 'Download Tomcat'

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Journal articles on the topic "Download Tomcat"

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Zhang, Wanying, Youdong Ding, Bing Yu, Biao Wu, and Hang Zhao. "Design and Implementation of SFA Precious Old Film Resource Sharing Platform." MATEC Web of Conferences 232 (2018): 01023. http://dx.doi.org/10.1051/matecconf/201823201023.

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When it comes to old films, we think the old films describe the story of the past normally. Many old films have been degraded or damaged for a long time. So the old films' restoration has been one of the mainstream film industry nowadays. It is because the old film is a record of the history and the old film resource is worth being cherished. At this point, it is particularly necessary and important to create a precious old film resource sharing platform. This platform runs on Eclipse environment and uses SSH framework structure, using MySQL as database, Apache tomcat as the server. Users can upload and download old films as well as the official administrator can manage the background functions. This platform can reserve valuable old film resource very well.
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Shoaib, Muhammad, Adnan Ahmad Ansari, Farhan Haq, and Sung Min Ahn. "IPCT: Integrated Pharmacogenomic Platform of Human Cancer Cell Lines and Tissues." Genes 10, no. 2 (February 22, 2019): 171. http://dx.doi.org/10.3390/genes10020171.

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: (1) Motivation: The exponential increase in multilayered data, including omics, pathways, chemicals, and experimental models, requires innovative strategies to identify new linkages between drug response information and omics features. Despite the availability of databases such as the Cancer Cell Line Encyclopedia (CCLE), the Cancer Therapeutics Response Portal (CTRP), and The Cancer Genome Atlas (TCGA), it is still challenging for biologists to explore the relationship between drug response and underlying genomic features due to the heterogeneity of the data. In light of this, the Integrated Pharmacogenomic Database of Cancer Cell Lines and Tissues (IPCT) has been developed as a user-friendly way to identify new linkages between drug responses and genomic features, as these findings can lead not only to new biological discoveries but also to new clinical trials. (2) Results: The IPCT allows biologists to compare the genomic features of sensitive cell lines or small molecules with the genomic features of tumor tissues by integrating the CTRP and CCLE databases with the REACTOME, cBioPortal, and Expression Atlas databases. The input consists of a list of small molecules, cell lines, or genes, and the output is a graph containing data entities connected with the queried input. Users can apply filters to the databases, pathways, and genes as well as select computed sensitivity values and mutation frequency scores to generate a relevant graph. Different objects are differentiated based on the background color of the nodes. Moreover, when multiple small molecules, cell lines, or genes are input, users can see their shared connections to explore the data entities common between them. Finally, users can view the resulting graphs in the online interface or download them in multiple image or graph formats. (3) Availability and Implementation: The IPCT is available as a web application with an integrated MySQL database. The web application was developed using Java and deployed on the Tomcat server. The user interface was developed using HTML5, JQuery v.3.1.0 , and the Cytoscape Graph API v.1.0.4. The IPCT can be accessed at http://ipct.ewostech.net. The source code is available at https://github.com/muhammadshoaib/ipct.
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Anchassi, Omar. "Modern Things on Trial: Islam’s Global and Material Reformation in the Age of Rida, 1865-1935." American Journal of Islamic Social Sciences 36, no. 4 (October 1, 2019): 104–7. http://dx.doi.org/10.35632/ajiss.v36i4.658.

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The late writer and intellectual George Ṭarābīshī (d. 1437/2016) observes that when the tomato first made its appearance in late nineteenth century Aleppo, locals took to denouncing it as ‘the Devil’s arse’ (mu’akhirat al-shayṭān) on account of its colour. The muftī of the city, who remains curiously unnamed in this account, is said to have issued a fatwa on its prohibition.1 Unsurprisingly, no source is given for this anecdote, but the point is clear enough: jurists are hidebound creatures, wrong-footed by the advent of modernity and stupid or morally depraved, or perhaps both. One could give many other examples that serve to illustrate the same conclusion. Leor Halevi’s formidable monograph on the fatāwā of Rashīd Riḍā (d.1354/1935) in al-Manār is thus precisely what one would hope for in the study of this much maligned Islamic legal instrument. To download full review, click on PDF.
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Ngoy, Kikombo Ilunga, and Daniela Shebitz. "Potential Impacts of Climate Change on Areas Suitable to Grow Some Key Crops in New Jersey, USA." Environments 7, no. 10 (September 26, 2020): 76. http://dx.doi.org/10.3390/environments7100076.

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We used the Climate Change and Adaptation Modeler (CCAM), a Terrset software toolset, to project the effects of global climate change on crops in New Jersey. We selected two scenarios—A1FI-MI and B1TME. We found that temperatures will increase by the end of this century compared to 1981–2010 normal temperatures baseline downloaded from PRISM. The temperature increase will vary from 3 to 6 °C depending upon the scenario while the precipitation remains relatively the same. These changes will negatively affect the suitability of many economically valuable crops in New Jersey including blueberry, cranberry, squash, sweet corn and tomato. Many crops that are highly or very suitable will move into marginal or very marginal categories.
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Maletta, M. H., W. P. Cowgill, W. Tietjen, S. A. Johnston, T. Manning, and P. Nitzsche. "Implementing a Tomato Disease Forecast System in Northern New Jersey." HortScience 33, no. 3 (June 1998): 531c—531. http://dx.doi.org/10.21273/hortsci.33.3.531c.

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After 4 years of research trials with TOM-CAST, an early blight and anthracnose forecaster for tomatoes, forecast information was made available to northern New Jersey growers in 1997. Rutgers Cooperative Extension provided 20 tomato growers with information and training on using TOM-CAST to schedule fungicide applications. Rutgers Cooperative Extension set up and maintained six weather stations in a three-county area. Rutgers personnel downloaded weather data twice weekly from May to late October and generated and published disease severity values (DSV) by phone and fax. Growers obtained DSVs for their site from the nearest weather station(s) and used them to determine their spray schedule. A survey to determine grower use of and attitudes about the system were mailed in Oct.1997. Four growers used the system to schedule fungicide applications. Growers reported the following perceived advantages of using TOM-CAST: cost savings and savings to environment; disease forecasting being “the future” of disease management; knowing for sure when to spray. Growers reported the following perceived disadvantages: risk to crop; inconvenience of an irregular spray schedule; concern about other diseases. Growers who did not use the system in 1997 were queried about the reasons they did not use it and whether they would consider using TOM-CAST in 1998.
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Ruhl, G., E. Twieg, R. DeVries, L. Levy, J. Byrne, D. Mollov, and N. Taylor. "First Report of Bacterial Wilt in Mandevilla (= Dipladenia) splendens ‘Red Riding Hood’ in the United States Caused by Ralstonia solanacearum Biovar 3." Plant Disease 95, no. 5 (May 2011): 614. http://dx.doi.org/10.1094/pdis-11-10-0858.

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In November of 2007, 6-inch rooted cuttings of Mandevilla (= Dipladenia) splendens ‘Red Riding Hood’ were submitted from a greenhouse in Indiana to the Purdue Plant and Pest Diagnostic Lab. Plants exhibited leaf dieback, wilting, and reduced top growth. Microscopic observation revealed no fungal structures within the roots, stems, and leaves; however bacterial streaming was observed from the cut edge of stem and root tissue using ×100 magnification with phase contrast. A Ralstonia solanacearum ImmunoStrip test (Agdia Inc., Elkhart, IN) was used to determine that the samples (roots and stem) were positive for R. solanacearum, the causal agent of southern wilt. A bacterial suspension was prepared from infected tissue and streaked onto King's Medium B (KB). Gram-negative, nonfluorescent, oxidase-positive bacteria were consistently isolated from the diseased tissues and determined as R. solanacearum by BIOLOG (Hayward, CA) carbohydrate utilization. A culture of R. solanacearum and infected plant material were submitted to USDA APHIS PPQ as per select agent protocol. (3) CPHST NPGBL generated pure cultures and together with submitted plant materials they tested positive for R. solanacearum using Agdia ImmunoStrips. Culture and plant material tested positive for R. solanacearum and negative for biovar 2 using the Fegan conventional PCR (1) and the Central Science Lab (CSL, York, UK) real-time PCR (4). Pure cultures were determined to be negative for biovar 2 but positive for biovar 3 using the biovar carbohydrate utilization plate assay (2). On the basis of these results, the bacteria were identified as R. solanacearum biovar 3 and not as the select agent R. solanacearum race 3 biovar 2. Koch's postulates confirmed pathogenicity of the isolated bacteria on tomato, a susceptible host. Three 6-week-old plants were mechanically inoculated with a bacterial suspension of approximately 1 × 108 CFU/ml prepared from cultures grown on KB for 2 days at 28°C. Inoculum (0.1ml of bacterial suspension) was injected into stem axils with a 22-gauge hypodermic needle. Three 6-week-old control plants were inoculated with sterile water. Plants were kept at 24°C with supplemental 400W high-pressure sodium light. Within 5 days, all three inoculated plants exhibited wilt symptoms. No symptoms were observed in control plants. Bacteria were reisolated from symptomatic plants on KB medium as described above, and gram negative, nonfluorescent, oxidase-positive bacteria were obtained. Reisolated strains were identical to R. solanacearum using BIOLOG carbohydrate utilization testing, confirming the causal agent of the disease. Personal correspondence with other diagnosticians also confirms the presence of R. solanacearum biovar 3 in Mandevilla in Ohio, Michigan, and Minnesota. To our knowledge, this is the first documented report in the world of R. solanacearum biovar 3 on Mandevilla. References: (1) M. Fegan et al. Page 34 in: Bacterial Wilt Disease Molecular and Ecological Aspects. P. Prior et al., eds. INRA Editions-Springer. Verlag, Germany, 1998. (2) E. R. French et al. Fitopatologia 30:126, 1995. (3) USDA/APHIS/PPQ New Pest Response Guidelines. Ralstonia Solanacearum race3 biovar 2, from http://www.aphis.usda.gov/import_export/plants/manuals/emergency/ downloads/nprg-ralstonia.pdf , retrieved May 2008. (4) S. A. Weller et al. Appl Environ. Microbiol. 7:2853, 2000.
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Alwan, Imzahim A., Hussein H. Karim, and Nadia A. Aziz. "Investigate the Optimum Agricultural Crops Production Seasons in Salah Al-Din Governorate Utilizing Climate Remote Sensing Data and Agro-Climatic Zoning." Iraqi Journal of Science, September 29, 2019, 2087–94. http://dx.doi.org/10.24996/ijs.2019.60.9.24.

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Agriculture is one of the major sources of livelihood for the Iraqi people as one-third of Iraq population resides in rural areas and depends upon agriculture for their livelihoods. This study aims to estimate the impact of temperature variability on crops productivity across the agro-climatic zones in Salah Al-Din governorate using climate satellite-based data for the period 2000 to 2018. The average annual air temperature based on satellite data was downloaded from the GLDAS Model NOAH025_M v2.1, and interpolates using Kriging interpolation/spherical model. Thirteen strategic crops were selected which is Courgette, garlic, Onion, Sweet Pepper, Watermelon, Melon, Cucumber, Tomato, Potato, Eggplant, Wheat, Barley, and Maize. Temperature requirements for each crop during the growing period were compared with actual temperature from GLDAS data. The study highlighted the impacts of temperature changes on agricultural productivity. The results show that there are some crops that are not achieving optimum productivity, such as Courgette first seasons (December-March), Garlic, Onion, and Cucumber. Whereas, there are other crops that achieve good productivity, such as Courgette second season (March- June), Sweet Pepper, Watermelon, Melon, Tomato, Potato, Eggplant, Maize, Wheat, and Barley. The study recommends proper mitigate and adaptive strategies to enhance the positive and lessen the adverse impacts of temperature changes on crops productivity across agro-climatic zones in Iraq.
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Liu, Zhen, Yuanming Li, Jinyong Zhu, Wenjing Ma, Zhitao Li, Zhenzhen Bi, Chao Sun, Jiangping Bai, Junlian Zhang, and Yuhui Liu. "Genome-Wide Identification and Analysis of the NF-Y Gene Family in Potato (Solanum tuberosum L.)." Frontiers in Genetics 12 (September 17, 2021). http://dx.doi.org/10.3389/fgene.2021.739989.

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Nuclear factor Y (NF-Y) is a ubiquitous transcription factor in eukaryotes, which is composed of three subunits (NF-YA, NF-YB, and NF-YC). NF-Y has been identified as a key regulator of multiple pathways in plants. Although the NF-Y gene family has been identified in many plants, it has not been reported in potato (Solanum tuberosum). In the present study, a total of 41 NF-Y proteins in potato (StNF-Ys) were identified, including 10 StNF-YA, 22 StNF-YB, and nine StNF-YC subunits, and their distribution on chromosomes, gene structure, and conserved motif was analyzed. A synteny analysis indicated that 14 and 38 pairs of StNF-Y genes were orthologous to Arabidopsis and tomato (Solanum lycopersicum), respectively, and these gene pairs evolved under strong purifying selection. In addition, we analyzed the expression profiles of NF-Y genes in different tissues of double haploid (DM) potato, as well as under abiotic stresses and hormone treatments by RNA-seq downloaded from the Potato Genome Sequencing Consortium (PGSC) database. Furthermore, we performed RNA-seq on white, red, and purple tuber skin and flesh of three potato cultivars at the tuber maturation stage to identify genes that might be involved in anthocyanin biosynthesis. These results provide valuable information for improved understanding of StNF-Y gene family and further functional analysis of StNF-Y genes in fruit development, abiotic stress tolerance, and anthocyanin biosynthesis in potato.
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Dissertations / Theses on the topic "Download Tomcat"

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von, Wenckstern Michael. "Web applications using the Google Web Toolkit." Master's thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2013. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-115009.

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This diploma thesis describes how to create or convert traditional Java programs to desktop-like rich internet applications with the Google Web Toolkit. The Google Web Toolkit is an open source development environment, which translates Java code to browser and device independent HTML and JavaScript. Most of the GWT framework parts, including the Java to JavaScript compiler as well as important security issues of websites will be introduced. The famous Agricola board game will be implemented in the Model-View-Presenter pattern to show that complex user interfaces can be created with the Google Web Toolkit. The Google Web Toolkit framework will be compared with the JavaServer Faces one to find out which toolkit is the right one for the next web project
Diese Diplomarbeit beschreibt die Erzeugung desktopähnlicher Anwendungen mit dem Google Web Toolkit und die Umwandlung klassischer Java-Programme in diese. Das Google Web Toolkit ist eine Open-Source-Entwicklungsumgebung, die Java-Code in browserunabhängiges als auch in geräteübergreifendes HTML und JavaScript übersetzt. Vorgestellt wird der Großteil des GWT Frameworks inklusive des Java zu JavaScript-Compilers sowie wichtige Sicherheitsaspekte von Internetseiten. Um zu zeigen, dass auch komplizierte graphische Oberflächen mit dem Google Web Toolkit erzeugt werden können, wird das bekannte Brettspiel Agricola mittels Model-View-Presenter Designmuster implementiert. Zur Ermittlung der richtigen Technologie für das nächste Webprojekt findet ein Vergleich zwischen dem Google Web Toolkit und JavaServer Faces statt
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