Solar Decathlon Europe 21/22 – experiences and findings by Karsten Voss

“…The Solar Decathlon is a competition for universities from all over the world to design, build and operate small experimental solar powered houses. …”
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Passive Design for Residential Buildings in Arid Desert Climates: Insights from the Solar Decathlon Middle East by Esra Trepci, Edwin Rodriguez-Ubinas

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The Influence of the ACTN3 R577X Genotype on Performance in Brazilian National-Level Decathlon Athletes: A Pilot Study by Jose Ricardo de Assis Nunes, Halil Ibrahim Ceylan, Paulo F. de Almeida-Neto, Eugenia Murawska-Ciałowicz, Nicola Luigi Bragazzi, Gilmara Gomes de Assis

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Environmental and Energy Performances of the Nearly Net-Zero Energy Solar Decathlon House with Dynamic Facades: A Comparison of Four Climate Regions by Fangfang Gong, Yongchao Ma, Feng Shi, Chen Chen, Linlin Tian, Jingjing Huang

“…The simulation model of a nearly net-zero energy Solar Decathlon house “Nature Between” was validated with experimental data. …”
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Project Report: Thermal Performance of FIRSTLIFE House by Jan Tywoniak, Zdenko Malík, Kamil Staněk, Kateřina Sojková

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Editorial: Tennis: bridging tradition and progress—an in-depth analysis of the sport's evolution and its prospect for the future by Alexis Herbaut, Ales Filipcic, Wan Xiu Goh

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The Exploration of New Courtyard Architecture Based on the Guidance of Architectural Culture and Technology by Xi Luo, Jianyun Huang

“…At the same time, it takes the building of “Waterside Cube” in Solar Decathlon China Competition as an example, which puts forward the concept of “Re-Traditional” and analyzes the generation logic and possibility of development of the new courtyard-style building which is combined with architectural culture and architectural aesthetics. …”
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Sub-seasonal and seasonal climate predictions for a sporting goods retailer company: Co-development of a climate service from scratch by Albert Soret, Albert Martínez-Botí, Raul Marcos-Matamoros, Nube Gonzalez-Reviriego, Francesc Roura-Adserias, Lluís Palma, Sergio Benito Martín, Sergio González-Ubierna

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Psychophysiological reactions analysis at stress-testing of the military universities cadets by D. I. Tishakin, O. A. Jafarova, O. L. Grebneva

“…The study was conducted on a group of cadets of the military university, candidates for the combined team on the tactical and technical decathlon. The study identified prognostic group of successful and unsuccessful athletes and describes the characteristic for each group of physiological patterns.…”
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Argumentation et prise de position en ligne : analyse des commentaires Facebook autour de la polémique « hijab de running » by Yamina Chikh Salah, Hassiba Benaldi

“…This article looks at a polemic that erupted in 2019 on the social networking site Facebook around the "hijab de running", a sports hijab that the French company Decathlon wanted to market in France. In this context, we are paying particular attention to the discourses produced by supporters of the sale of this hijab as they circulated on Facebook in the comments space. …”
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Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI by Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka

“…To demonstrate this concept, the Medical Segmentation Decathlon ‘Brain Tumours’ dataset was utilised. A ResNet classification neural network was trained, and XAI tools were applied to generate segmentation-like outputs. …”
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Improving Medical Image Segmentation Using Test-Time Augmentation with MedSAM by Wasfieh Nazzal, Karl Thurnhofer-Hemsi, Ezequiel López-Rubio

“…Evaluated across diverse computed tomography (CT) datasets, including Medical Segmentation Decathlon (MSD), KiTS, and COVID-19-20, the proposed method demonstrated consistent improvements in Dice Similarity Coefficient (DSC) and Normalized Surface Dice (NSD) metrics. …”
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Minga: modelo replicable de renovación urbana sostenible, caso Buenaventura by Valeria Villamil-Cárdenas, Ivan Osuna-Motta

“…Este artículo presenta los resultados obtenidos en la investigación realizada durante la ejecución de un diseño de renovación urbana sostenible en la ciudad de Buenaventura, Valle del Cauca, Colombia, como parte de la propuesta del equipo MINGA para el SDLAC 2019 (Solar Decathlon Latin America and Caribbean). Este proyecto fue desarrollado por un grupo de estudiantes y profesores, dentro de los espacios académicos de los programas de pregrado de Arquitectura e Ingeniería Civil de las universidades partícipes del equipo MINGA. …”
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Tuhouse: prototipo de vivienda social sostenible de alta densidad para el trópico by Constanza Cobo-Fray, Olga Lucia Montoya-Flórez

“…La presente contribución expone los resultados de la investigación desarrollada en el marco del concurso internacional Solar Decathlon LAC 2019, la cual tuvo por objetivo el diseño y construcción de un prototipo de vivienda económica TUHOUSE (Technically Unique House Using Solar Energy), a escala 1:1, capaz de incorporar estrategias sostenibles y bioclimáticas acordes con la región tropical. …”
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Large language models driven BIM-based DfMA method for free-form prefabricated buildings: framework and a usefulness case study by Dongchen Han, Wuji Zhao, Hongxi Yin, Ming Qu, Jian Zhu, Feifan Ma, Yuejia Ying, Annika Pan

“…The research includes contributions from the following four areas: (1) A review of the literature on DfMA theories, specifically fabrication and construction. (2) The development of a BIM-based DfMA method framework, including the methodological basis, Design for Manufacturing (DfM), and Design for Assembly (DfA). (3) A pipeline for LLMs driven BIM-based DfMA method framework and a validation using the Decathlon Solar Team design-build practice at the University of Washington’s Lotus House. (4) An evaluation of 692 conversation scenarios to verify the feasibility of our proposal. …”
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FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms by Ripon Kumar Debnath, Md. Abdur Rahman, Sami Azam, Yan Zhang, Mirjam Jonkman

“…Cross-dataset evaluations further demonstrated its generalizability, with Dice scores of 95.43%, 92.98%, 90.72%, and 94.05% on 3DIRCADB01, Colorectal Liver Metastases, Computed Tomography Organs (CT-ORG), and Medical Segmentation Decathlon Task 3: Liver datasets, respectively. In multi-organ segmentation on CT-ORG, it delivered Dice scores ranging from 85.93% to 94.26% across bladder, bones, kidneys, and lungs. …”
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Metodología de medición de la huella de carbono para edificaciones en Costa Rica y su aplicación en el módulo habitacional Trópika by Silvia Solano-Quesada, Edgar Ortiz-Malavassi

“…Este es un prototipo de vivienda diseñado y construido por estudiantes del Tecnológico de Costa Rica para participar en la competencia internacional sobre diseño y construcción sostenible, Solar Decathlon Europe 2014. Se elaboró un análisis de ciclo de vida parcial, de la cuna a la construcción, para Trópika. …”
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DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling by Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li

“…To authenticate the efficacy of the proposed methodology, a comprehensive evaluation has been conducted on three brain tumor segmentation datasets, namely BraTs2020, BraTs2024, and Medical Segmentation Decathlon Brain 2018. The experimental results evince that the proposed model surpasses the current mainstream ConvNet and Transformer architectures across all performance metrics, proffering novel research perspectives and technical stratagems for the realm of medical image segmentation.…”
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A novel network with enhanced edge information for left atrium segmentation from LGE-MRI by Ze Zhang, Zhen Wang, Xiqian Wang, Kuanquan Wang, Yongfeng Yuan, Qince Li

“…Additionally, the generalizability of our model was evaluated on the heart dataset from the Medical Segmentation Decathlon (MSD) challenge, confirming its robustness across different clinical scenarios involving LA segmentation.…”
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ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet by Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu

“…The model was evaluated on the MICCAI HECKTOR dataset, and additional validation was conducted on selected tasks from the Medical Segmentation Decathlon (MSD). Results On the HECKTOR dataset, ES-UNet achieved a Dice Similarity Coefficient (DSC) of 76.87%, outperforming baseline models including 3D UNet, 3D UNet 3+, nnUNet, and Swin UNETR. …”
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