794 research outputs found

    RNA interference therapeutics in organ transplantation:The dawn of a new era

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    RNA interference (RNAi) is a natural process through which double-stranded RNA molecules can silence the gene carrying the same code as the particular RNA of interest. In 2006, the discovery of RNAi was awarded the Nobel Prize in Medicine and its success has accumulated since. Gene silencing through RNAi has been used successfully in a broad range of diseases, and, more recently, this technique has gained interest in the field of organ transplantation. Here, genes related to ischemia-reperfusion injury (IRI) or graft rejection may be silenced to improve organ quality after transplantation. Several strategies have been used to deliver siRNA, and pretransplant machine perfusion presents a unique opportunity to deliver siRNA to the target organ during ex situ preservation. In this review, the potential of RNAi in the field of organ transplantation will be discussed. A brief overview on the discovery of RNAi, its mechanism, and limitations are included. In addition, studies using RNAi to target genes related to IRI in liver, kidney, lung, and heart transplantation are discussed

    Editorial: Educational robotics and competitions

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    STEM education endeavors to instill fundamental principles of science, technology, engineering, and mathematics, fostering a passion that propels students toward careers in these fields. Robotics, as a formidable educational tool, goes beyond theoretical learning by immersing students in practical projects that demand problem-solving skills. Its inherently multidisciplinary nature encourages the integration of knowledge from traditionally distinct disciplines, enriching the educational experience. In the ever-evolving landscape of STEM education, the integration of robotics has proven to be a dynamic catalyst for inspiring students and advancing research in science, technology, engineering, and mathematics. The latest strides in this interdisciplinary field are encapsulated in four articles published in the Research Topic on Educational Robotics and Competitions. These articles shed light on diverse aspects of robotics challenges, from virtual and real-world competitions to classroom applications.The authors acknowledge the use of Large Language Models to help improve the level of English in this text. The LLMs used were ChatGPT-3.5 from Open AI, and Microsoft Copilot based on GPT-4 from Open AI.info:eu-repo/semantics/publishedVersio

    The Emerging Role of Viability Testing During Liver Machine Perfusion

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    The transplant community continues to be challenged by the disparity between the need for liver transplantation and the shortage of suitable donor organs. At the same time, the number of unused donor livers continues to increase, most likely attributed to the worsening quality of these organs. To date, there is no reliable marker of liver graft viability that can predict good posttransplant outcomes. Ex situ machine perfusion offers additional data to assess the viability of donor livers before transplantation. Hence, livers initially considered unsuitable for transplantation can be assessed during machine perfusion in terms of appearance and consistency, hemodynamics, and metabolic and excretory function. In addition, postoperative complications such as primary nonfunction or posttransplant cholangiopathy may be predicted and avoided. A variety of viability criteria have been used in machine perfusion, and to date there is no widely accepted composition of criteria for clinical use. This review discusses potential viability markers for hepatobiliary function during machine perfusion, describes current limitations, and provides future recommendations for the use of viability criteria in clinical liver transplantation

    Enhancing motivation and learning in engineering courses: a challenge-based approach to teaching embedded systems

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    This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The research findings indicate that this approach yields excellent results regarding student engagement and learning outcomes. The challenge-based program effectively promotes students’ creative problem-solving abilities by combining theoretical instruction with hands-on experience in a competitive setting.The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021) and project LA/P/0063/2020. This work was supported by Blended Intensive Programme ID: 2021- 1-PT01-KA131-HED-000004268-2, Embedded Systems Applications. The authors thank CEFET/RJ, the Institute of Engineering and the Research Centre on Bio-based Economy of Hanze University of Applied Sciences, the ERASMUS program, and the Brazilian research agencies CAPES, CNPq, and FAPERJ.info:eu-repo/semantics/publishedVersio
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