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Qualitative Data Analysis and QDA Tools - Temple University

https://guides.temple.edu/qda/qualcoder

QualCoder is free, open source software for qualitative data analysis. It has many of the features of commercial QDA software packages such as auto-coding, coding images and A/V materials, SQL database querying, and many reporting and visualization options.

Temple University

https://prd-xeadmin.temple.edu/applicationNavigator/seamless

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Web Application Development - Department of Management Information ...

https://community.mis.temple.edu/mis2402sec004fall2025/

Department of Management Information Systems, Temple University

LL.M. in Taxation Curriculum - Temple Law

https://law.temple.edu/academics/degrees/llm-tax/curriculum/

This course provides an overview of the taxation of corporations and their shareholders and of transactions between them that occur over the life of a business. It examines the concept of a corporation for tax purposes, corporate formations, debt versus equity, dividends and distributions, redemptions, liquidations, taxable stock and asset acquisitions, and acquisitive and divisive tax ...

LONG TIME BEHAVIOR OF SOLUTIONS OF AN ELECTROCONVECTION MODEL

https://sites.temple.edu/ignatova/files/2024/08/abig5.pdf

ABSTRACT. We consider a two dimensional electroconvection model which consists of a nonlinear and nonlocal system coupling the evolutions of a charge distribution and a fluid. We show that the solutions decay in time in L2(R2) at the same sharp rate as the linear uncoupled system. This is achieved by proving that the difference between the nonlinear and linear evolution decays at a faster rate ...

Tyler School of Art and Architecture | Temple University

https://library.temple.edu/

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FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf

1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...

DSpace - scholarshare.temple.edu

https://scholarshare.temple.edu/bitstream/handle/20.500.12613/4727/LAURETTI_temple_0225E_14256.pdf;sequence=1

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ECAI 2024 73 U. Endriss et al. (Eds.) © 2024 The Authors. of the ...

https://cis.temple.edu/~latecki/Papers/JoPanECAI2024.pdf

Addressing these gaps, we introduce the FlowLearn Dataset1, which includes both scientific and simulated flowcharts. The scien-tific subset features 3,858 flowcharts sourced from scientific liter-ature, annotated with captions (median length of 25 words) and in-figure text. The simulated subset consists of 10,000 flowcharts gener-ated from Mermaid code. This simulated subset enhances the ...

sthm-stage2.temple.edu

https://sthm-stage2.temple.edu/2024/07/09/jacob-bealer-is-taking-his-sport-education-to-the-next-level/

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