Relevant bibliographies by topics / Combined workflow

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Combined workflow'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Combined workflow"

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BLIN, MARIE JOSÉ, JACQUES WAINER, and CLAUDIA BAUZER MEDEIROS. "A REUSE-ORIENTED WORKFLOW DEFINITION LANGUAGE." International Journal of Cooperative Information Systems 12, no. 01 (2003): 1–36. http://dx.doi.org/10.1142/s0218843003000553.

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This paper presents a new formalism for workflow process definition, which combines research in programming languages and in database systems. This formalism is based on creating a library of workflow building blocks, which can be progressively combined and nested to construct complex workflows. Workflows are specified declaratively, using a simple high level language, which allows the dynamic definition of exception handling and events, as well as dynamically overriding workflow definition. This ensures a high degree of flexibility in data and control flow specification, as well as in reuse o
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Lamprecht, Anna-Lena, Magnus Palmblad, Jon Ison, et al. "Perspectives on automated composition of workflows in the life sciences." F1000Research 10 (September 7, 2021): 897. http://dx.doi.org/10.12688/f1000research.54159.1.

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Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition has remained a cumbersome manual process due to a lack of standards for annotation, assembly, and implementation. Recent technological advances have returned the long-standing vision of automated workflow composition into focus. This article summarizes a recent Lorentz Center workshop dedicated to automated composition of workflows in the life sciences. We survey previous initiatives to automate the co
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Arshad, Junaid, Alexander Hoffmann, Sandra Gesing, et al. "Multi-level meta-workflows: new concept for regularly occurring tasks in quantum chemistry." Journal of Cheminformatics 8, no. 1 (2016): 58. https://doi.org/10.1186/s13321-016-0169-8.

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<strong>Background: </strong> In Quantum Chemistry, many tasks are reoccurring frequently, e.g. geometry optimizations, benchmarking series etc. Here, workflows can help to reduce the time of manual job definition and output extraction. These workflows are executed on computing infrastructures and may require large computing and data resources. Scientific workflows hide these infrastructures and the resources needed to run them. It requires significant efforts and specific expertise to design, implement and test these workflows.<strong>Significance: </strong>Many of these workflows are complex
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Suprunenko, Oksana Aleksandrovna. "COMBINED TOOLS SIMULATION WORKFLOW BASED GRAPH MODELS." Theoretical & Applied Science 23, no. 03 (2015): 153–58. http://dx.doi.org/10.15863/tas.2015.03.23.26.

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Røst, Lisa M., Lilja Brekke Thorfinnsdottir, Kanhaiya Kumar, et al. "Absolute Quantification of the Central Carbon Metabolome in Eight Commonly Applied Prokaryotic and Eukaryotic Model Systems." Metabolites 10, no. 2 (2020): 74. http://dx.doi.org/10.3390/metabo10020074.

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Absolute quantification of intracellular metabolite pools is a prerequisite for modeling and in-depth biological interpretation of metabolomics data. It is the final step of an elaborate metabolomics workflow, with challenges associated with all steps—from sampling to quantifying the physicochemically diverse metabolite pool. Chromatographic separation combined with mass spectrometric (MS) detection is the superior platform for high coverage, selective, and sensitive detection of metabolites. Herein, we apply our quantitative MS-metabolomics workflow to measure and present the central carbon m
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Dharwadkar, Nagaraj V., Shivananda R. Poojara, and Priyanka M. Kadam. "Fault Tolerant and Optimal Task Clustering for Scientific Workflow in Cloud." International Journal of Cloud Applications and Computing 8, no. 3 (2018): 1–19. http://dx.doi.org/10.4018/ijcac.2018070101.

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Scientific workflows are very complex, large-scale applications and require more computational power for data transmission and execution. In this article, the authors address the problem of scheduling scientific workflow on a number of virtual machines (VM) with the objective of reducing the total makespan of workflow and failure. This article implements checkpoints and replication strategies with the parallel task execution (PTE) algorithm to schedule scientific workflow for minimum time and cost. In order to reduce execution overhead and improve performance of the scientific application, the
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Corsalini, Massimo, Giuseppe Barile, Francesco Ranieri, et al. "Comparison between Conventional and Digital Workflow in Implant Prosthetic Rehabilitation: A Randomized Controlled Trial." Journal of Functional Biomaterials 15, no. 6 (2024): 149. http://dx.doi.org/10.3390/jfb15060149.

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The progress of digital technologies in dental prosthodontics is fast and increasingly accurate, allowing practitioners to simplify their daily work. These technologies aim to substitute conventional techniques progressively, but their real efficiency and predictability are still under debate. Many systematic reviews emphasize the lack of clinical RCTs that compare digital and traditional workflow. To address this evidence, we conducted a three-arm designed clinical RCT, which compares fully digital, combined digital, and analogic and fully analog workflows. We aimed to compare the clinical pr
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Jean Edgard Gnimassoun, Et al. "Comparison of the Execution Step Strategies on Scheduling Data-intensive Workflows on IaaS Cloud Platforms." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 3556–63. http://dx.doi.org/10.17762/ijritcc.v11i9.9576.

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The IaaS platforms of the Cloud hold promise for executing parallel applications, particularly data-intensive scientific workflows. An important challenge for users of these platforms executing scientific workflows is to strike the right trade-off between the execution time of the scientific workflow and the cost of using the platform. In a previous article, we proposed an efficient approach that assists the user in finding this compromise. This approach requires an algorithm aimed at minimizing the execution time of the workflow once the platform configuration is set. In this article, we comp
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Elnagar, Mohammed H., Sharon Aronovich, and Budi Kusnoto. "Digital Workflow for Combined Orthodontics and Orthognathic Surgery." Oral and Maxillofacial Surgery Clinics of North America 32, no. 1 (2020): 1–14. http://dx.doi.org/10.1016/j.coms.2019.08.004.

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Dai, Peng, '. Mausam, and Daniel Weld. "Decision-Theoretic Control of Crowd-Sourced Workflows." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1168–74. http://dx.doi.org/10.1609/aaai.v24i1.7760.

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Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Mechanical Turk). Crowd-sourcing has become immensely popular with hoards of employers ("requesters"), who use it to solve a wide variety of jobs, such as dictation transcription, content screening, etc. In order to achieve quality results, requesters often subdivide a large task into a chain of bite-sized subtasks that are combined into a complex, iterative workflow in which workers check and improve each other's results. This paper
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Dissertations / Theses on the topic "Combined workflow"

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Панченко, Віталій Олександрович, Виталий Александрович Панченко та Vitalii Oleksandrovych Panchenko. "Підвищення технічного рівня вільновихрового насоса шляхом вдосконалення геометрії робочого колеса". Thesis, Сумський державний університет, 2019. http://essuir.sumdu.edu.ua/handle/123456789/75132.

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Дисертаційна робота присвячена моделюванню робочого процесу вільнивихрового насоса, який має вдосконалену геометрію робочого колеса, дослідженню впливу співвідношення геометричних параметрів робочого колеса на характеристики насоса з метою розробки методичних рекомендацій щодо розрахунку нового та вдосконалення існуючого насосного обладнання для підвищення його технічного рівня. Основним змістом дисертації є удосконалення математичної моделі робочого процесу вільновихрового насоса, яка базується на рівнянні різниці моментів кількості руху рідини, що виходить з робочого колеса насоса та входить
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Books on the topic "Combined workflow"

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Skupio, Rafał. Zastosowanie nieinwazyjnych pomiarów rdzeni wiertniczych do zwiększenia informacji na temat parametrów skał zbiornikowych. Instytut Nafty i Gazu - Państwowy Instytut Badawczy, 2022. http://dx.doi.org/10.18668/pn2022.237.

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The research carried out in the monograph aimed to create a measurement and interpretation system which is to obtain reliable results of well logging with the accuracy of laboratory measurements. Continuous core measurements allow for the generation of logging results without the impact of the borehole and facilitate the depth matching of the core to well log data. Four main chapters can be distinguished in this work: research methodology with a description of the devices used; partial results of core measurements made on various types of rocks; a proposal for a research system, and comprehens
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Book chapters on the topic "Combined workflow"

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Muff, Fabian. "M2AR: An Architecture for a 3D Enhanced Metamodeling Platform for Extended Reality." In Metamodeling for Extended Reality. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76762-3_6.

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Abstract As stated in the previous chapter’s conclusion, two-dimensional (2D) metamodeling platforms such as ADOxx (see Sect. 5.2.2) are not suitable for modeling three-dimensional augmented reality (AR) applications, such as modeling with the newly introduced Augmented Reality Workflow Modeling Method (ARWFMM). However, not only for visual modeling of AR scenarios, such 2D metamodeling platforms come to their limits. Taking again into account the derived use cases for extended reality applications combined with conceptual modeling in Chap. 3, it becomes clear that the traditional 2D approach
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Münnich, Marc, Annabell Schönfelder, Maximilian Stange, Marian Süße, and Steffen Ihlenfeldt. "Combined Evaluation of Digitalization and Sustainability Maturity of Small and Medium Sized Enterprises." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77429-4_55.

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AbstractSustainability and digitalization are of high importance for companies to stay competitive and cope with market requirements from internal and external stakeholders. Especially the current changes in reporting standards and frameworks increase pressure to quickly adapt internal processes and acquire the relevant data. In this context, Industry 4.0 (I4.0) is discussed to enable companies to also foster sustainability. But many small and medium sized enterprises (SME) lack of experience and capacity and need support from experienced partners to develop suitable strategies and implement t
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Zhang, Weichen, and Pierpaolo Ruttico. "Interactive Bricklaying: A Comparative Experiment on Human Involvement in Masonry Structure Design and Construction Through Augmented Reality." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_10.

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Abstract Interactive bricklaying combines augmented reality technology with robot fabrication technology, utilizing both human intelligence and robot precision. Humans intuitively complete various differentiated bricklaying designs, while robot systems accurately execute bricklaying tasks. Traditionally, in such workflows, the design and fabrication processes are separated, with a lower level of human-robot interaction. By comparing with traditional interactive workflows through experimental studies, this research explores a higher degree of interactive workflow where design and fabrication al
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Rao, Yu, Weixin Liu, Tian Zhu, Hanbin Yan, Hao Zhou, and Jinghua Bai. "Practical DDoS Attack Group Discovery and Tracking with Complex Graph-Based Network." In Communications in Computer and Information Science. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_8.

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AbstractIn recent years, a large number of users continuously suffer from DDoS attacks. DDoS attack volume is on the rise and the scale of botnets is also getting larger. Many security organizations began to use data-driven approaches to investigate gangs and groups beneath DDoS attack behaviors, trying to unveil the facts and intentions of DDoS gangs. In this paper, DDoSAGD - a DDoS Attack Group Discovery framework is proposed to help gang recognition and situation awareness. A heterogeneous graph is constructed from botnet control message and relative threat intelligence data, and a meta pat
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Mitoulis, Stergios A., Dan V. Bompa, and Sotirios Argyroudis. "Integration of Carbon Emissions Estimates into Climate Resilience Frameworks for Transport Asset Recovery." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57800-7_3.

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AbstractThis study describes a framework for optimizing environmental sustainability, climate resilience, and cost in post-hazard transport asset recovery. Particular focus is given to the environmental impact assessment component and its conceptual integration with resilience metrics. After describing the workflow adopted in the complete framework, the environmental impact modelling assumptions, system boundaries, and life cycle inventories for materials, on-site activities and transportation are detailed. Carbon equivalent emissions are evaluated for various restoration tasks for a bridge su
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Zhong, X., Fujia Yu, and Beichen Xu. "A Human–Machine Collaborative Building Spatial Layout Workflow Based on Spatial Adjacency Simulation." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8637-6_2.

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AbstractThe space layout of a reasonable modular building prototype is a time consuming and complex process. Many studies have optimised automatic spatial layouts based on spatial adjacency simulation. Although machine-produced plans satisfy the adjacency and area constraints, people still need further manual modifications to meet other spatially complex design requirements. Motivated by this, we provide a human–machine collaborative design workflow that simulates the spatial adjacency relationship based on physical models. Compared with previous works, our workflow enhances the automated spac
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Aybar, Cesar, David Montero, Antony Barja, Fernando Herrera, Andrea Gonzales, and Wendy Espinoza. "Combining R and Earth Engine." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_31.

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AbstractThe purpose of this chapter is to introduce rgee, a non-official API for Earth Engine. You will explore the main features available in rgee and how to set up an environment that integrates rgee with third-party R and Python packages. After this chapter, you will be able to combine R, Python, and JavaScript in the same workflow.
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Wang, Weishuai, Xuegang Liu, Qian-ge He, and Xinghai Wang. "Hazard Identification on the Process of High-Level Liquid Waste Concentration and Denitration in Spent Fuel Reprocessing by HAZOP." In Springer Proceedings in Physics. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_33.

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AbstractTo develop China’s spent nuclear fuel reprocessing, safety analysis of reprocessing facility is of great importance and high priority. Any methodology of safety analysis, no matter whether it is in a kind of deterministic analysis, probabilistic assessment or so-called Integrated Safety Analysis, is beginning with the identification and systematic analysis of hazards as the very first essential step. Recognizing that reprocessing facilities are, to a large extent, chemical processing plants, HAZard and OPerability analysis (HAZOP) was introduced firstly in the US. It is featured as one
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Bolojan, Daniel, Arie Chocron, Alyssa Scherger, and Thomas Tucker. "Deep Semantics – Design Semantic Universes." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3433-0_27.

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Abstract The integration of Generative AI in architectural design offers unparalleled opportunities for design innovation, characterized by the creation of complex, nuanced semantic universes. This paper explores the convergence of AI with various design-based disciplines, aiming to reimagine the design process through a multi-layered strategy. It proposes a unique AI-native workflow for the seamless integration of diverse design concepts, with the primary goal of investigating the capabilities of Creative AI in architectural design and its potential to combine various design fields into a coh
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Chen, Zexin, Dandan Lin, Lujie Sun, Sining Wang, and Dongchen Han. "A ‘Human-In-The-Loop’ Workflow for Realizing Taihu Rocks." In Computational Design and Robotic Fabrication. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_29.

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AbstractThis research uses an expanded polystyrene (EPS) Taihu rock as a demonstrator to illustrate a workflow encompassing shape grammar-based design and Mixed Reality (MR)-aided robotic fabrication. It aims to address a post-digital mindset that values human’s tacit knowledge and craftsmanship within CAD-CAM processes, therefore, this research combines three components: an idea of the human-cyber-physical system (HCPS), a from-finding approach, and an augmented materialization method. The investigators first 3D-scanned a natural Taihu rock and interpreted its geometric peculiarities into des
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Conference papers on the topic "Combined workflow"

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Koch, Amy, Jessica Ebert, Isabell Viedt, Andreas Bamberg, and Leon Urbas. "Digital Twin supported Model-based Design of Experiments and Quality by Design." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.166037.

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The pharmaceutical and specialty chemical industries are challenged with the requirement of faster time-to-process to meet market demands. Here, Modular Plants made up of predesigned process equipment assemblies (PEAs) are advantageous. Moreover, equipment-based Digital Twins of these modules can further reduce the time-to-process when combined with methods such as Quality by Design (QbD) and model-based design of experiments (MBDoE) to reduce uncertainty. This paper presents a lab scale-based workflow using an equipment-based Digital Twin, which applies QbD and MbDoE methods to identify the D
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Chang, Yu-Jen, Cheng-Hsin Liu, Yi-Sheng Lin, et al. "A Correlative Microscopic Workflow Powered by Artificial Intelligence to Accelerate Failure Analysis of Next-Generation Semiconductor Packages." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0312.

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Abstract Over the past decade, the semiconductor industry has increasingly focused on packaging innovations to improve device performance, power efficiency, and reduce manufacturing cost. The recent heterogeneous integration offers an attractive solution in advanced IC packaging because it enables the integration of diverse functional components, such as logic, memory, power modulator, sensor on a single package platform. However, the adoption of the emerging structures, materials and components in advanced packages has challenged the existing fault isolation and analysis techniques. One of th
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Picard, Donald, Olivier Bellavance, Charles Tremblay, and Andréanne Potvin. "CUI Assessment near Insulation Support Rings Using Pulsed Eddy Currents." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19031.

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Abstract Pulsed Eddy Current (PEC) is a proven inspection technology used to detect and assess wall loss in ferromagnetic materials under any layer of insulation or coating that prevents direct access to the surface. One of its main applications is detecting Corrosion Under Insulation (CUI) in pressure vessels. Corrosion, caused by water or condensation ingress under the insulation, is generally found just above the Insulation Support Rings (ISR), interfering with the PEC signals. Hence, assessing this corrosion requires advanced data analysis tools combined with a clear understanding of the i
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Bechtel, T. A., A. O. Nelson, L. L. Lao, et al. "Accelerated Workflow for Advanced Kinetic Equilibria." In 2022 First Combined International Workshop on Interactive Urgent Supercomputing (CIW-IUS). IEEE, 2022. http://dx.doi.org/10.1109/ciw-ius56691.2022.00008.

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Chen, Yidong, Jian Cao, and Jing Xiao. "Combined Cache Policy for Service Workflow Execution Acceleration." In 2012 International Conference on Cloud and Service Computing (CSC). IEEE, 2012. http://dx.doi.org/10.1109/csc.2012.19.

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Kourani, Humam, and Sebastiaan van Zelst. "POWL: Partially Ordered Workflow Language (Extended Abstract)." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/935.

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Processes in real-life scenarios tend to inherently establish partial orders over their constituent activities. This makes partially ordered graphs viable for process modeling. While partial orders capture both concurrent and sequential interactions among activities in a compact way, they fall short in modeling choice and cyclic behavior. To address this gap, we introduce the Partially Ordered Workflow Language (POWL), a novel language for process modeling that combines traditional hierarchical modeling languages with partial orders. In a POWL model, sub-models are combined into larger ones ei
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Zhang, Yang, Anirban Mandal, Charles Koelbel, and Keith Cooper. "Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids." In 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid. IEEE, 2009. http://dx.doi.org/10.1109/ccgrid.2009.59.

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Biver, Pierre, Alexandre Lesage, Anthony Ong, Dimitri Dor, and Remi Estival. "Combining Automatic Decline Curve Analysis and Geostatistical Methods to Help Analytical Predictions." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216496-ms.

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Abstract Two main methods are used to provide robust production forecasts on existing and new wells. The first option relies on building a geomodel on which reservoir simulations are performed that require long engineering time. The second option is to use the Decline Curve Analysis (DCA) and type curve construction. This method delivers fast and accurate results but relies solely on production data, neglecting the geology, production mechanisms and is often not enough precise to predict future wells’ performance. In this paper, two workflows combining geostatistics methodology with DCA will b
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Bazargan, Mohamad, Bo Chen, Murat Cinar, et al. "A Combined Experimental and Simulation Workflow to Improve Predictability of In Situ Combustion." In SPE Western North American Region Meeting. Society of Petroleum Engineers, 2011. http://dx.doi.org/10.2118/144599-ms.

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Bandis, Eleftherios, Nikolaos Polatidis, Maria Diapouli, and Stelios Kapetanakis. "Data Stream Harmonization For Heterogeneous Workflows." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0042.

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Transport infrastructure relies heavily on extended multi sensor networks and data streams to support its advanced real time monitoring and decision making. All relevant stakeholders are highly concerned on how travel patterns, infrastructure capacity and other internal / external factors (such as weather) affect, deteriorate or improve performance. Usually new network infrastructure can be remarkably expensive to build thus the focus is constantly in improving existing workflows, reduce overheads and enforce lean processes. We propose suitable graph-based workflow monitoring met­hods for deve
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Reports on the topic "Combined workflow"

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Stavland, Arne, Siv Marie Åsen, Arild Lohne, Olav Aursjø, and Aksel Hiorth. Recommended polymer workflow: Lab (cm and m scale). University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.201.

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Polymer flooding is one of the most promising EOR methods (Smalley et al. 2018). It is well known and has been used successfully (Pye 1964; Standnes &amp; Skjevrak 2014; Sheng et al. 2015). From a technical perspective we recommend that polymer flooding should be considered as a viable EOR method on the Norwegian Continental Shelf for the following reasons: 1. More oil can be produced with less water injected; this is particularly important for the NCS which are currently producing more water than oil 2. Polymers will increase the aerial sweep and improve the ultimate recovery, provided a prop
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Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329795.

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Induced (anthropogenic) earthquakes are caused by reactivation of pre-existing faults due to human activities, including hydraulic fracturing and saltwater disposal. The Montney play, the pre-eminent shale gas play in Canada, contains localized regions with relatively high geological susceptibility to induced seismicity. Identification of potential seismogenic structures is hindered because published fault maps in the Montney play are often focused on small areas, leading to inconsistencies when these are compiled across the region. We have developed a regional framework based on structural co
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Wozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging, British Columbia and Alberta. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328850.

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The Western Canada Sedimentary Basin (WCSB) is a mature oil and gas basin with an extraordinary endowment of publicly accessible data. It contains structural elements of varying age, expressed as folding, faulting, and fracturing, which provide a record of tectonic activity during basin evolution. Knowledge of the structural architecture of the basin is crucial to understand its tectonic evolution; it also provides essential input for a range of geoscientific studies, including hydrogeology, geomechanics, and seismic risk analysis. This study focuses on an area defined by the subsurface extent
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Leavy, Michelle B., Danielle Cooke, Sarah Hajjar, et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Report on Registry Configuration. Agency for Healthcare Research and Quality (AHRQ), 2020. http://dx.doi.org/10.23970/ahrqepcregistryoutcome.

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Background: Major depressive disorder is a common mental disorder. Many pressing questions regarding depression treatment and outcomes exist, and new, efficient research approaches are necessary to address them. The primary objective of this project is to demonstrate the feasibility and value of capturing the harmonized depression outcome measures in the clinical workflow and submitting these data to different registries. Secondary objectives include demonstrating the feasibility of using these data for patient-centered outcomes research and developing a toolkit to support registries intereste
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Aursjø, Olav, Aksel Hiorth, Alexey Khrulenko, and Oddbjørn Mathias Nødland. Polymer flooding: Simulation Upscaling Workflow. University of Stavanger, 2021. http://dx.doi.org/10.31265/usps.203.

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There are many issues to consider when implementing polymer flooding offshore. On the practical side one must handle large volumes of polymer in a cost-efficient manner, and it is crucial that the injected polymer solutions maintain their desired rheological properties during transit from surface facilities and into the reservoir. On the other hand, to predict polymer flow in the reservoir, one must conduct simulations to find out which of the mechanisms observed at the pore and core scales are important for field behavior. This report focuses on theoretical aspects relevant for upscaling of p
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Grundy, Helen H., Lucy C. Brown, Mark Sykes, M. Rosario Romero, and Dominic Anderson. Review of allergen analytical testing methodologies. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.noe660.

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The Food Information Regulation (FIR) states that accurate and understandable allergen information needs to be supplied to consumers for the 14 priority allergens. Food allergies affects between 1-2% of the UK population, with some allergens responsible for hospital admissions with anaphylaxis. Food businesses have a legal responsibility to provide food that is safe, which means declaring allergens present as ingredients and warning consumers about their potential unintended presence due to cross-contact. A system needs to be implemented for testing allergens in foods, responding to incidents,
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