Digital tools, particularly specialised decision support systems (DSSs), can be utilized to assist in the complex process of brownfield redevelopment. Existing brownfield DSSs typically focus on site-specific, late-stage applications, and socioeconomic factors are often overlooked. In this paper, we present a novel DSS aimed at providing support for early-stage, city region-scale brownfield land use planning and redevelopment. The proposed DSS is a prototype WebGIS application that enables land use planners and other brownfield regeneration professionals to examine a region and a set of sites during the initial planning phase for brownfield redevelopment. The DSS includes three bespoke modules comprising: (1) Land Use Potential (residential, commercial, and public open space), (2) risks posed by contamination and geotechnical hazards, (3) data pertinent to brownfield economic viability assessments. We outline a use case for this DSS, developed through comprehensive user-requirements gathering, and subsequently describe the techniques employed to construct the DSS modules and user interface. Finally, we present the results of user testing, wherein case-study stakeholders assessed the DSS. The feedback obtained during user testing aided in the identification of areas for improvement with regard to the functionality, usability, and effectiveness of the DSS in supporting decision-makers. The feedback was utilized to implement iterative improvements to the DSS and to plan future developments for the prototype DSS.
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http://dx.doi.org/10.1016/j.jenvman.2023.119466 | DOI Listing |
Sensors (Basel)
December 2024
School of Mechanical Electrical and Information Engineering, Shandong University, Weihai 264209, China.
Feature selection (FS) is a key process in many pattern-recognition tasks, which reduces dimensionality by eliminating redundant or irrelevant features. However, for complex high-dimensional issues, traditional FS methods cannot find the ideal feature combination. To overcome this disadvantage, this paper presents a multispiral whale optimization algorithm (MSWOA) for feature selection.
View Article and Find Full Text PDFNutrients
December 2024
Department of Food Science, Cornell University, Ithaca, NY 14853, USA.
Background/objectives: Inflammatory bowel disease (IBD) is a chronic condition influenced by a variety of factors, including genetics, the environment, and gut microbiota. The incidence of IBD is increasing globally. Previous studies have shown that interactions between diet and gut microbiota influence the pathogenesis and treatment of IBD.
View Article and Find Full Text PDFNutrients
December 2024
Institute for Pathophysiology and Allergy Research, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria.
Background/objectives: The extracellular calcium-sensing receptor (CaSR) is a multifunctional receptor proposed as a possible drug target for inflammatory bowel disease. We showed previously that CaSR inhibition with NPS 2143, a negative allosteric modulator of the CaSR, somewhat ameliorated the symptoms of chemically induced severe colitis in mice. However, it was unclear whether the potential of CaSR inhibition to reduce colitis may have been overshadowed by the severity of the induced inflammation in our previous study.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Pediatrics, Hadassah-Hebrew University Medical Center, Jerusalem 9166100, Israel.
Inflammatory bowel disease (IBD) is a chronic, relapsing inflammation disorder of the gastrointestinal tract characterized by disrupted intestinal epithelial barrier function. Despite advances in treatment, including biological agents, achieving sustained remission remains challenging for many patients with IBD. This highlights the urgent need for novel therapeutic strategies.
View Article and Find Full Text PDFInt J Environ Res Public Health
November 2024
Latino Research Institute, College of Liberal Arts, The University of Texas at Austin, Austin, TX 78712, USA.
Paid domestic work (PDW) is an important source of employment for the global female workforce. It is frequently performed under precarious working conditions and occupational risks that are often associated with depressive symptoms (DSs). Although 10% (2.
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