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Een nieuwe jaargang, een nieuwe vorm: online èn open access

Ton Kallenberg • 2020

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Team‐Based Learning in the Meta Horizon Workroom: A Pilot Study on Its Potential Effectiveness for Pharmacology Teaching

Abdullah Khaiyam, Lucy Battersby, Ellie Porter, Ana Correia deOliveira, Soban Sadiq • 2025

ABSTRACT The Meta Horizon Workroom (MHW) provides an immersive environment for team‐based learning (TBL). This study evaluated its effectiveness in teaching pharmacology, emphasizing engagement, collaboration, and learni...

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STEM Faculty Perceptions of Library Research Support and Bibliometric Services: A Qualitative Study

Yuening Zhang • 2025

Academic librarians strive to provide quality support for faculty researchers. Existing content analysis of top-ranking university libraries’ websites revealed the main types of research services provided by academic lib...

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Building a scalable digital infrastructure for a (bio)chemical engineering pilot plant: A case study from DTU

Jakob Kjøbsted Huusom, Mark N. Jones, Julian Kager, Kim Dam-Johansen, Jochen A.H. Dreyer • 2025

The digitalization of pilot-scale chemical engineering facilities offers significant potential for enabling e.g. data-driven research, process modeling, closed loop process control, and digital twin development, but the...

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Durability of large-format additively manufactured polymer composite structures with environmental exposure–accelerated water immersion

Sunil Bhandari, Prabhat Khanal, Roberto A. Lopez-Anido • 2025

Large-format additive manufacturing (LFAM) of polymer composites enables rapid production of large-scale components for infrastructure, transportation, and defense. As these components see increased outdoor use, understa...

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Unified experimental and finite element analysis of the mechanical performance of 3D-printed honeycomb and auxetic sandwich cores

Hamed Adibi, Ali Akbari Lalaei, Amirali Nakhaei • 2025

A critical challenge in the design of lightweight composite structures is the quantitative selection of core architectures for specific loading conditions. This study presents an integrated experimental–numerical investi...

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The design of a building facade pollutant detection algorithm based on multi-scale context enhancement and model lightweight improvement for YOLO

Kexun Li, Zhijun Gao • 2025

To address the high complexity, poor real-time performance, and the prevalence of false positives and false negatives in current algorithms for detecting small-target pollutants on UAV-based building facades, this study...

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A lightweight remote sensing image fusion method for vehicle perception

Yangyang Zhao, Jiannan Su, Wenjun Li, Zhiyong Yu, Xiaowei Dai • 2025

Remote sensing image fusion plays a crucial role in enhancing image information. However, the limitations of existing fusion technologies in terms of computational resources and storage capacity make real-time processing...

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Surgical Management of Knee Synovial Chondromatosis through Posterior Open Synovectomy: A Unique Case Report

Ravipati Aakash, Debashish Mishra, Ashok Gachhayat, Preethiv R, Ranjita Panigrahi, Pranita Mishra • 2025

Introduction: Synovial chondromatosis is a rare, benign metaplastic disorder of the synovium characterized by the formation of multiple cartilaginous nodules within the joint. While the knee is the most frequently affect...

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Open Broadcaster Software Assisted Learning Media in Hybrid Learning

Makmum Raharjo, Erna Retna Safitri, Ardi Saputra • 2023

Obstacles often found by teachers in implementing hybrid learning include internet connection and student access to participate in synchronous learning, which results in ineffective learning. The development of learning...

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The Potential of Low-Cost IoT-Enabled Agrometeorological Stations: A Systematic Review

Christa M. Al Kalaany, Hilda N. Kimaita, Ahmed A. Abdelmoneim, Roula Khadra, Bilal Derardja, Giovana Dragonetti • 2025

The integration of Internet of Things (IoT) technologies in agriculture has facilitated real-time environmental monitoring, with low-cost IoT-enabled agrometeorological stations emerging as a valuable tool for climate-sm...

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Forehead and In-Ear EEG Acquisition and Processing: Biomarker Analysis and Memory-Efficient Deep Learning Algorithm for Sleep Staging with Optimized Feature Dimensionality

Roberto De Fazio, Şule Esma Yalçınkaya, Ilaria Cascella, Carolina Del-Valle-Soto, Massimo De Vittorio, Paolo Visconti • 2025

Advancements in electroencephalography (EEG) technology and feature extraction methods have paved the way for wearable, non-invasive systems that enable continuous sleep monitoring outside clinical environments. This stu...

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