21 papers · ranked by Valyu relevance
Judith Schoonenboom, R. Burke Johnson
This article provides researchers with knowledge of how to design a high quality mixed methods research study. To design a mixed study, researchers must understand and carefully consider each of the dimensions of mixed methods design, and always keep an eye on the issue of validity. We explain the seven major design…
Jingru Zhang, Erjia Cui, Hongzhe Li, Haochang Shou
Wearable devices and digital phenotyping are increasingly used in observational and interventional studies to assess physical activity. However, integrating and comparing data across studies and cohorts remains challenging due to variability in device types, acquisition protocols, and preprocessing methods. A key…
Fernando Henrique Biase, Michael Morozyuk, Camila Ezepha
Single-cell RNA sequencing (scRNA-seq) integration methods remove technical variation while preserving biological signal, yet systematic frameworks for evaluating how parameter choices influence biological interpretation remain limited. Traditional benchmarking approaches evaluate single-parameter configurations per…
MD Luecken, M Büttner, K Chaichoompu, A Danese + 7 more
Cell atlases often include samples that span locations, labs, and conditions, leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires reliable data integration. Choosing a data integration method is a challenge due to the difficulty of defining integration success. Here, we…
Hanbin Lee, Chanwoo Kim, Juhee Jeong, Keehoon Jung + 1 more
Integrating scRNA-seq data of multiple donors is challenging. Multiple samples may exhibit strong heterogeneity and batch effects, which need to be properly corrected. Many previous methods focused on integrating multi-sample data in the cluster level, but it was challenging to quantitatively measure the benefit of…
Fernando Zigunov, John Charonko
Experimentally-measured pressure fields play an important role in understanding many fluid dynamics problems. Unfortunately, pressure fields are difficult to measure directly with non-invasive, spatially resolved diagnostics, and calculations of pressure from velocity have proven sensitive to error in the data.…
Thomas Pugsley, Guy Hanke, Christopher Daniel Patrick Duffy
Metabolic modelling has wide-ranging applications, including for the production of high-value compounds, understanding complex disease and analysing community interactions. Integrating transcriptomic data with genome-scale metabolic models is crucial for deepening our understanding of complex biological systems, as it…
Inès Osman, Salvatore Flavio Pileggi, Sadok Ben Yahia, Gayo Diallo
Title: Graphical abstract
Geoff J. Bathje, Eric Majeski, Mesphina Kudowor
The concept of integration has garnered increased attention in the past few years, despite a long history of only brief mention. Integration services are offered by therapists, coaches, and other practitioners, or may be self-guided. There are many definitions of psychedelic integration, and the term encompasses a…
Lucinda Cash-Gibson, Magdalene Rosenmoller
Integrated care is multifaceted and thus its analysis requires insight and understanding from multiple perspectives. The use of case study methodology in combination with a mixed-methods approach is one way to first generate these essential multiple perspectives, second it allows for triangulation of the perspectives -…
Authors not listed
Accurate and efficient calculation of alchemical free energies is a critical challenge in computational chemistry, frequently hindered by the inherent limitations of conventional Thermodynamic Integration (TI) methods. These limitations include poor phasespace overlap between discrete alchemical states, inefficient…
Antoine Legouhy, Ross Callaghan, Nolah Mazet, Vivien Julienne + 2 more
'Hojjat Azadbakht' 'Hui Zhang'] Abstract. This paper presents NimbleReg, a light-weight deep-learning (DL) framework for diffeomorphic image registration leveraging surface representation of multiple segmented anatomical regions. Deep learning has revolutionized image registration but most methods typically rely on…
Soumaya Allouch, Raja Mahamade Ali, Noor Al-Wattary, Michail Nomikos + 1 more
'Marwan F. Abu-Hijleh'] Background Curriculum integration is an important educational concept widely implemented by various educational institutions, particularly within the healthcare field. Its significance lies in enhancing the preparation of future healthcare professionals. The assessment of these integrated…
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Effective visualization of complex synthesis routes is critical for computeraided synthesis planning (CASP), yet current solutions are limited in scope, integration flexibility, and chemical intuition. We introduce RouteWise, a versatile, containerized web application designed to address these unmet needs. Its modular…
Alex McKeown, Charlotte Cliffe, Arun Arora, Ann Griffin
Background This paper explores ethical concerns arising in healthcare integration. We argue that integration is necessary imperative for meeting contemporary and future healthcare challenges, a far stronger evidence base for the conditions of its effectiveness is required. In particular, given the increasing emphasis…
Marion Heyeres, Janya McCalman, Komla Tsey, Irina Kinchin
Seventeen reviews met the criteria for inclusion. A summary of the characteristics of included reviews is provided in Table [T1]. Over half of included studies (59%) were published during the past 5 years, which may indicate a trend for increased awareness of the need for service integration. The majority of reviews…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
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Bioprocess engineering has incorporated effective AI applications in recent years that consist of traditional approaches to training models on relevant data to then analyze and predict new and unseen data. The missing component has been the ability to process mixed data from an assortment of dissimilar information…
Zhijia Yang, Yafei Zhang, Huafeng Li, Yu Liu
Diverse Downstream Tasks Authors: ['Zhijia Yang' 'Yafei Zhang' 'Huafeng Li' 'Yu Liu'] The primary value of infrared and visible image fusion technology lies in applying the fusion results to downstream tasks. However, existing methods face challenges such as increased training complexity and significantly compromised…
Huafeng Li, Dongming Su, Qing Cai, Yafei Zhang
Unaligned Medical Image Fusion Authors: ['Huafeng Li' 'Dongming Su' 'Qing Cai' 'Yafei Zhang'] If unaligned multimodal medical images can be simultaneously aligned and fused using a single-stage approach within a unified processing framework, it will not only achieve mutual promotion of dual tasks but also help reduce…
Mikael Brudfors, Yaël Balbastre, John Ashburner
In medical imaging it is common practice to acquire a wide range of modalities (MRI, CT, PET, etc.), to highlight different structures or pathologies. As patient movement between scans or scanning session is unavoidable, registration is often an essential step before any subsequent image analysis. In this paper, we…