Article
Computer Science, Artificial Intelligence
Marko Bohanec, Gennaro Tartarisco, Flavia Marino, Giovanni Pioggia, Paolo Emilio Puddu, Michele Salvatore Schiariti, Anneleen Baert, Sofie Pardaens, Els Clays, Aljosa Vodopija, Mitja Lustrek
Summary: Congestive heart failure is a chronic medical condition that affects about 2% of the adult population. The HeartMan Decision Support System (DSS) aims to support individual patients in following established clinical guidelines for disease management, using mobile phones, wristband sensors, and a web application. The system provides recommendations for managing physical health, psychological support, and environmental parameters, and has been successful in improving self-care behavior and reducing depression and anxiety levels in patients.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Pu Li, Bing Chen, Shichun Zou, Zhenhua Lu, Zekun Zhang
Summary: Offshore oil spills have severe impacts on the marine ecosystem, human health, and social economy. The development of an integrated decision support system (DSS-OSM) is important for managing oil spills. The DSS-OSM incorporates various methods to analyze spill vulnerability, screen response technologies, and allocate response devices.
Article
Instruments & Instrumentation
Alex Zabeo, Fabio Rosada, Lisa Pizzol, Fanny Caputo, Sven Even Borgos, Jeremie Parot, Robert E. Geertsma, Joost Jacob Pouw, Rob J. Vandebriel, Oihane Ibarrola Moreno, Danail Hristozov
Summary: The application of nanomaterials in medicine has great potential, but the translation of these technologies to clinical practice faces challenges. To support the development and clinical implementation of nanotechnology-enabled health products, the REFINE project has developed a Decision Support System (DSS) to assist developers in preclinical assessment and intelligent testing, improving efficiency.
DRUG DELIVERY AND TRANSLATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Donya Hajializadeh, Maryam Imani
Summary: The lack of an integrated and robust resilience-informed business planning and management approach in response to interdependent assets' failures is a common challenge for critical infrastructure (CI) asset owners and operators. Interdependencies among CI can lead to cascading failures and amplify impacts due to low-probability/high-impact environmental hazards. An integrated resilience and vulnerability-informed Decision Support System (DSS) is necessary to identify vulnerable components in an interdependent network and introduce adaptive capacities to cope with hazardous events.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Chemistry, Physical
Hyunyoung Ryu, Deoksang Lee, Jaemin Shin, Minseok Song, Seungyeop Lee, Hyunjoon Kim, Byung-In Kim
Summary: This study presents a novel web-based decision support system that optimizes the locations of hydrogen refueling stations and hydrogen supply chains. The system provides a two-stage solution model and has the potential to assist the government in planning hydrogen infrastructure.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Horticulture
Marisa Gallardo, M. Teresa Pena-Fleitas, Francisco M. Padilla, Juan Cedeno, Rodney B. Thompson
Summary: This study focused on the prescriptive-corrective management of irrigation and fertilization for greenhouse vegetable production. The results showed that using the VegSyst-DSS v2 decision support system, considerable savings can be achieved in water and nutrient inputs without compromising production and quality. This has the potential to reduce farmer costs and minimize the environmental impact of greenhouse production systems.
Article
Social Sciences, Interdisciplinary
Tarek Sboui, Saida Aissi
Summary: The latest advances in spatial information technology have led to the emergence of Volunteered Geographic Information (VGI) as enrichment to existing spatial data sources. Additionally, Decision Support Systems (DSS) are among the fields that have seen major advances. Volunteered Geographic Information (VGI) has great potential as a valuable data source to decision support systems. Several studies have been proposed to integrate VGI data into DSS. However, as VGI data may have different levels of quality, integrating VGI data with poor quality may affect the decision-making process.
Article
Chemistry, Physical
Maxim Kuznetsov, Stanislav Boldyryev, Doskhan Kenzhebekov, Botagoz Kaldybaeva
Summary: The paper focuses on reducing emissions in synthesis-gas production through better integration and increased energy efficiency. The study investigates the use of Fischer-Tropsch by-products and carbon dioxide for synthesis gas production. By adjusting process stream temperatures, optimizing heat exchanger networks, and utilizing secondary energy resources, the proposed approach maximizes economic and environmental benefits. Results show that using natural gas as a fuel source has the lowest carbon footprint, while coal has higher CO2 emissions, making it suitable as a feedstock for high-temperature co-electrolysis.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Juan Martinez-Pastor, Juan Jose Hernandez-Ortega, Rosendo Zamora
Summary: A large number of material and process parameters affect the quality and performance of pressure die-casting processes. This study implemented optimization models in a Decision Support System to establish an operational region that ensures the manufacture of quality parts. The system allows users to estimate the influence between input and output variables and find proper values to achieve optimum operational range.
Article
Environmental Sciences
Fabio Terribile, Marco Acutis, Antonella Agrillo, Erlisiana Anzalone, Sayed Azam-Ali, Marialaura Bancheri, Peter Baumann, Barbara Birli, Antonello Bonfante, Marco Botta, Federica Cavaliere, Marco Colandrea, Amedeo D'Antonio, Roberto De Mascellis, Carlo De Michele, Gloria De Paoli, Camilla Della Monica, Marco Di Leginio, Mitja Ferlan, Giuliano Ferraro, Anca Florea, Tamas Hermann, Heike Hoenig, Ebrahim Jahanshiri, Jernej Jevsenak, Veronika Karpati, Giuliano Langella, Quang Bao Le, Daniele Lezzi, Harald Loishandl, Sarah Loudin, Piero Manna, Gina Marano, Luigi Marotta, Vlad Merticariu, Florindo Antonio Mileti, Luciana Minieri, Dimitar Misev, Luca Montanarella, Michele Munafo, Martin Neuwirth, Nadia Orefice, Imre Pacsonyi, Panos Panagos, Alessia Perego, Bang Pham Huu, Francesco Pinto, Kathrin Prebeck, Angela Puig, Judit Pump, Calogero Schillaci, Primoz Simoncic, Mitja Skudnik, Petra Stankovics, Gergely Toth, Peter Tramberend, Simona Vingiani, Francesco Vuolo, Claudio Zucca, Angelo Basile
Summary: This paper introduces a platform called S-DSS LANDSUPPORT, which supports the implementation of environmental and agriculture policies and enables positive environmental sustainability actions by stakeholders. The platform includes various features such as satellite and climate data connection, web-based GIS facilities, and static and dynamic modeling engines.
LAND DEGRADATION & DEVELOPMENT
(2023)
Article
Construction & Building Technology
Qudama Al-Yasiri, Marta Szabo
Summary: This paper investigates the indoor temperature improvement and energy-saving of a building envelope with passively-incorporated phase change materials (PCMs). The results show that PCM effectively stabilizes indoor temperature, reduces thermal load, decreases CO2 emissions and energy consumption. The effectiveness of PCM is higher in the roof compared to walls, and the PCM amount should be adjusted based on wall orientation and peak outdoor conditions.
ENERGY AND BUILDINGS
(2023)
Article
Information Science & Library Science
Brij B. Gupta, Prabin Kumar Panigrahi
Summary: This research analyzes the contribution of global information management for sustainable business development through DSS. It uses the Scopus database to collect relevant research papers and helps researchers analyze the recent trend and development in the field of DSS in the context of global information management.
JOURNAL OF GLOBAL INFORMATION MANAGEMENT
(2023)
Article
Thermodynamics
Xiaoqin Niu, Serhat Yuksel, Hasan Dincer
Summary: The purpose of this study is to identify appropriate strategies to minimize carbon emission problem with a novel fuzzy decision-making model. Missing expert decisions are imputed for selecting emission strategies and perspectives are weighted using MSWARA methodology. Industry alternatives are ranked using the ELECTRE method. The study concludes that the proposed model's findings are coherent and reliable, with the optimal strategy being long-term growth with global sustainability.
Article
Computer Science, Artificial Intelligence
Xiaohui Gao, Zaiwu Gong, Qingsheng Li, Guo Wei
Summary: This research proposes a hybrid mathematical model, called the Choquet integral-based model, to reliably predict natural gas consumption. The model combines the grey accumulation generating operator and the grey wolf optimizer to comprehensively consider model performance and handle both seasonal and long-term variability. The results demonstrate that the proposed model exhibits better robustness and prediction performance by considering the interaction between models.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Review
Food Science & Technology
Gopaiah Talari, Enda Cummins, Cronan McNamara, John O'Brien
Summary: This article presents the application of Big Data and web-based Decision Support Systems (DSS) in the field of food safety. It provides an overview of the challenges in using Big Data technology to address food safety issues and suggests future research directions.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Md. Nahidul Islam, Aimei Wang, Jakob Skov Pedersen, Jorn Nygaard Sorensen, Oliver Koerner, Merete Edelenbos
Article
Agronomy
G. van Straten, A. C. de Vos, J. Rozema, B. Bruning, P. M. van Bodegom
AGRICULTURAL WATER MANAGEMENT
(2019)
Article
Agriculture, Multidisciplinary
Simon Goddek, Oliver Koerner
AGRICULTURAL SYSTEMS
(2019)
Article
Horticulture
Dimitrios Fanourakis, Benita Hyldgaard, Habtamu Giday, Isaac Alilik, Dimitris Bouranis, Oliver Korner, Carl-Otto Ottosen
HORTICULTURAL SCIENCE
(2019)
Article
Agricultural Engineering
Tundra Ramirez, H. -Peter Klaering, Oliver Koerner
BIOSYSTEMS ENGINEERING
(2019)
Article
Agronomy
Hans-Peter Klaering, Oliver Koerner
Review
Plant Sciences
Dimitrios Fanourakis, Sasan Aliniaeifard, Arne Sellin, Habtamu Giday, Oliver Korner, Abdolhossein Rezaei Nejad, Costas Delis, Dimitris Bouranis, Georgios Koubouris, Emmanouil Kambourakis, Nikolaos Nikoloudakis, Georgios Tsaniklidis
PLANT PHYSIOLOGY AND BIOCHEMISTRY
(2020)
Article
Plant Sciences
Wenjuan Yu, Oliver Koerner, Uwe Schmidt
FRONTIERS IN PLANT SCIENCE
(2020)
Article
Agricultural Engineering
Oliver Koerner, Dimitrios Fanourakis, Michael Chung-Rung Hwang, Benita Hyldgaard, Georgios Tsaniklidis, Nikolaos Nikoloudakis, Dorthe Horn Larsen, Carl-Otto Ottosen, Eva Rosenqvist
Summary: The study investigated the effect of cultivar differences in stomatal conductance on energy demand related to relative air humidity. Six experiments were conducted to study evapotranspiration variation in six pot rose cultivars, while adjusting the growth environment to realize different levels of crop ETc. The commonly applied g(s) sub-model in ETc models was validated under greenhouse conditions, showing good agreement between simulated and measured ETc.
BIOSYSTEMS ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Oliver Koerner, Mehdi B. Bisbis, Gosta F. M. Baganz, Daniela Baganz, Georg B. O. Staaks, Hendrik Monsees, Simon Goddek, Karel J. Keesman
Summary: The aim of this paper is to investigate and evaluate possible solutions to reduce the environmental impacts of vegetables available on urban markets in Northern Europe, proposing a 4-step solution that can significantly reduce the environmental impact of vegetable production. The study found that local vegetable productions in urban regions can surpass the imported mix on environmental performance in Northern Europe when the right set-up is in place.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Goesta F. M. Baganz, Manfred Schrenk, Oliver Koerner, Daniela Baganz, Karel J. Keesman, Simon Goddek, Zorina Siscan, Elias Baganz, Alexandra Doernberg, Hendrik Monsees, Thomas Nehls, Werner Kloas, Frank Lohrberg
Summary: The study explores the application of aquaponics in an upscaled scenario in Berlin, requiring a large number of facilities to meet the demand of the residents, which can effectively save water resources. Additionally, causal link chains regarding production relocation and freshwater pescatarian diet are discussed.
Article
Green & Sustainable Science & Technology
Nicole Meinusch, Susanne Kramer, Oliver Koerner, Jurgen Wiese, Ingolf Seick, Anita Beblek, Regine Berges, Bernhard Illenberger, Marco Illenberger, Jennifer Uebbing, Maximilian Wolf, Gunter Saake, Dirk Benndorf, Udo Reichl, Robert Heyer
Summary: The ICU concept shows significant effects in providing energy and food, while also saving a considerable amount of CO2 emissions. Although technically feasible, it becomes economically more viable for large-scale implementations and higher food prices.
Article
Biology
Laura Cammarisano, Oliver Koerner
Summary: Indoor crop cultivation systems require artificial lighting, and the quality of light can affect plant growth and metabolism, as well as the biomass produced and the value of the produce. This study investigated how a certain light quality, with a high proportion of blue light, affected photosynthetic and morphological parameters in two lettuce cultivars with different leaf colors. The results suggest that there are distinct physiological adaptive strategies in green and red pigmented lettuce cultivars to adapt to a higher proportion of blue light environment.
Article
Plant Sciences
Laura Cammarisano, Jan Graefe, Oliver Koerner
Summary: Plant factories aim to address rising urban food demand by producing quality food with optimized resource use in closed environments. This study suggests that leaf pigments may serve as indicators of plant performance and nutritious composition, and noninvasive estimation of leaf pigments can be used to monitor and control plant growth in controlled environment agriculture.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Multidisciplinary Sciences
Andre P. Sradnick, Marie P. Werner, Oliver P. Koerner
Summary: Peat is commonly used in horticultural seedling production, but finding substitutes is important. In a study, different peat substitutes were tested for vegetable seedling production. By limiting the quantities added, a reduction in peat content to 25% was possible without affecting substrate quality. This flexible and efficient method allows for quick decision-making and can meet specific crop management needs.