Gwt
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This document provides instructions for setting up an Eclipse Java EE development environment for building GWT web applications, including installing the GWT plugin and SDK, creating a new GWT web application project, copying over sample java files and configuring the web.xml file. It also describes installing the Google Web Toolkit developer Plugin for Firefox browser to test and run GWT applications.
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In-depth technical portfolio of a Backend Developer (2+ years) specializing in high-performance ERP systems. Details C# expertise in multi-layered caching (Memory, SSDB, DB), custom ORM development with Expression Trees, advanced connection pooling (Stack-based, PgBouncer), and efficient CSV/XML serialization solutions.Characterization of Polymeric Materials by Thermal Analysis, Spectroscopy an...
Characterization of Polymeric Materials by Thermal Analysis, Spectroscopy an...1SI20ME092ShivayogiB
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3d Printing Nano composites As the world of technology continually drives the scientific community and the
development of innovative instrumentation, it is important for the analytical chemist to
be certain to take advantage of the wide range of knowledge that can be gained by using
multiple modes of analysis. No single instrument is capable of entirely characterizing a
material; therefore, the knowledge gained from multiple modes of analysis must be
pieced together in order to provide the most accurate description of the sample. Using a
single method only provides one dimension, but with the use of additional methods the
analysis is multi-faceted. Instrument systems are designed to gather a distinct set of
data, with no single system providing complete analysis. By coupling traditional
thermal analysis techniques such as thermogravimetric (TGA), thermomechanical
(TMA), and dynamic scanning calorimetry (DSC) with spectroscopic techniques such
as Fourier Transform Infrared (FTIR), mass spectroscopy (MS), and X-ray diffraction
(XRD), all aspects surrounding the materials physical and chemical properties can be
determined almost entirely. Specifically the importance of evolved gas analysis (EGA),
thermal-IR, XRD, and micro-thermal analysis will be discussed.Axial Capacity Estimation of FRP-strengthened Corroded Concrete Columns
Axial Capacity Estimation of FRP-strengthened Corroded Concrete ColumnsJournal of Soft Computing in Civil Engineering
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This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites. Estimating the axial strength of corroded columns is complex due to the intricate interplay between corrosion and FRP reinforcement. To address this, a dataset of 102 samples from various literature sources was compiled. Subsequently, this dataset was employed to create and train the ML models. The parameters influencing axial strength included the geometry of the column, properties of the FRP material, degree of corrosion, and properties of the concrete. Considering the scarcity of reliable design guidelines for estimating the axial strength of RC columns considering corrosion effects, artificial neural network (ANN), Gaussian process regression (GPR), and support vector machine (SVM) techniques were employed. These techniques were used to predict the axial strength of corroded RC columns reinforced with FRP. When comparing the results of the proposed ML models with existing design guidelines, the ANN model demonstrated higher predictive accuracy. The ANN model achieved an R-value of 98.08% and an RMSE value of 132.69 kN which is the lowest among all other models. This model fills the existing gap in knowledge and provides a precise means of assessment. This model can be used in the scientific community by researchers and practitioners to predict the axial strength of FRP-strengthened corroded columns. In addition, the GPR and SVM models obtained an accuracy of 98.26% and 97.99%, respectively.
"The Enigmas of the Riemann Hypothesis" by Julio Chai
"The Enigmas of the Riemann Hypothesis" by Julio ChaiJulio Chai
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In the vast tapestry of the history of mathematics, where the brightest minds have woven with threads of logical reasoning and flash-es of intuition, the Riemann Hypothesis emerges as a mystery that chal-lenges the limits of human understanding. To grasp its origin and signif-icance, it is necessary to return to the dawn of a discipline that, like an incomplete map, sought to decipher the hidden patterns in numbers. This journey, comparable to an exploration into the unknown, takes us to a time when mathematicians were just beginning to glimpse order in the apparent chaos of prime numbers.
Centuries ago, when the ancient Greeks contemplated the stars and sought answers to the deepest questions in the sky, they also turned their attention to the mysteries of numbers. Pythagoras and his followers revered numbers as if they were divine entities, bearers of a universal harmony. Among them, prime numbers stood out as the cornerstones of an infinite cathedral¡ªindivisible and enigmatic¡ªhiding their ar-rangement beneath a veil of apparent randomness. Yet, their importance in building the edifice of number theory was already evident.
The Middle Ages, a period in which the light of knowledge flick-ered in rhythm with the storms of history, did not significantly advance this quest. It was the Renaissance that restored lost splendor to mathe-matical thought. In this context, great thinkers like Pierre de Fermat and Leonhard Euler took up the torch, illuminating the path toward a deeper understanding of prime numbers. Fermat, with his sharp intuition and ability to find patterns where others saw disorder, and Euler, whose overflowing genius connected number theory with other branches of mathematics, were the architects of a new era of exploration. Like build-ers designing a bridge over an unknown abyss, their contributions laid the groundwork for later discoveries.
Software Engineering Project Presentation Tanisha Tasnuva
Software Engineering Project Presentation Tanisha Tasnuvatanishatasnuva76
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Software Engineering Presentation.
Forecasting Road Accidents Using Deep Learning Approach: Policies to Improve ...
Forecasting Road Accidents Using Deep Learning Approach: Policies to Improve ...Journal of Soft Computing in Civil Engineering
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Characterization of Polymeric Materials by Thermal Analysis, Spectroscopy an...
Characterization of Polymeric Materials by Thermal Analysis, Spectroscopy an...1SI20ME092ShivayogiB
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Axial Capacity Estimation of FRP-strengthened Corroded Concrete Columns
Axial Capacity Estimation of FRP-strengthened Corroded Concrete ColumnsJournal of Soft Computing in Civil Engineering
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- 2. ? Eclipse Java EE IDE forWeb Developers. ? Version: Kepler Service Release 2 ? InstallGWT4.3 ? http://dl.google.com/eclipse/plugin/4.3 ? Google Plugin for Eclipse ? SDKs
- 3. ? New->Google->Web Application project
- 4. ? Copy java files ? Web.xml ? Has <welcome-file> is html. Should have <div class="demo-main-panel" id="demo-main- panel¡±></div> ? Has servlet mappings ? .css file has .demo-main-panel {width: 960px;height: 100%;margin:0 auto;}
- 5. ? Version 24 ? GoogleWebToolkit developer Plugin for Firefox 1.26.2 ? Firefox->Tools->AddOns should show the add ons. Make sure this plugin is enabled.
- 7. Copy this URL, and paste in Firefox