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Objective: To evaluate the outcomes and efficacy of robot-assisted radical prostatectomy (RARP) using the Versius robotic surgical system, aiming to provide comprehensive data on perioperative outcomes, postoperative recovery, and complications.

Patient And Methods: All cases of RARP using the CMR Versius platform performed at Cairo University Hospital over a two-year period were enrolled in this study. All patients had pathologically confirmed prostate cancer in both localized and locally advanced stages.

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Analog In-memory Computing (IMC) has demonstrated energy-efficient and low latency implementation of convolution and fully-connected layers in deep neural networks (DNN) by using physics for computing in parallel resistive memory arrays. However, recurrent neural networks (RNN) that are widely used for speech-recognition and natural language processing have tasted limited success with this approach. This can be attributed to the significant time and energy penalties incurred in implementing nonlinear activation functions that are abundant in such models.

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Background And Objective: Older adult refugees from Burma face unique challenges in third-country resettlement, yet their experiences are often overlooked in research and policy. This scoping review aims to examine the literature on refugees aged 45 and older from Burma in third-country resettlement contexts, identify factors contributing to successful integration, and elucidate the unique challenges they encounter.

Research Design And Methods: We systematically searched seven databases using Arksey and O'Malley's framework.

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Ten simple rules to complete successfully a computational MSc thesis project.

PLoS Comput Biol

January 2025

Laboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen, the Netherlands.

The thesis project is an essential step to obtain an MSc degree. Within STEM and Life Sciences disciplines, computational theses have specific characteristics that differentiate them from wet laboratory ones. In this article, we present Ten simple rules to direct and support Master students who are about to start a computational research project for their Master thesis.

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Evaluating the effectiveness of prompt engineering for knowledge graph question answering.

Front Artif Intell

January 2025

School of Engineering, Institute of Computer Science, Intelligent Information Systems Research Group, Zurich University of Applied Sciences, Winterthur, Switzerland.

Many different methods for prompting large language models have been developed since the emergence of OpenAI's ChatGPT in November 2022. In this work, we evaluate six different few-shot prompting methods. The first set of experiments evaluates three frameworks that focus on the quantity or type of shots in a prompt: a baseline method with a simple prompt and a small number of shots, random few-shot prompting with 10, 20, and 30 shots, and similarity-based few-shot prompting.

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