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- Ahmmad, Sheikh Rishad, et al.
(författare)
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Impact of Building Geometry, Window Types, and Materials on Daylighting Performance of Livestock Buildings
- 2024
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Ingår i: 15th International Congress on Agricultural Mechanization and Energy in Agriculture - ANKAgEng 2023. - 2366-2557 .- 2366-2565. - 9783031515781 ; 458 LNCE, s. 262-274
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Konferensbidrag (refereegranskat)abstract
- The availability and quality of natural light in livestock buildings affect the welfare and productivity of animals and their caretakers, while affecting the energy performance of the buildings. This study investigated the impact of different building properties on daylight conditions of livestock buildings. The study was conducted via parametric daylight simulations in Climatestudio. Firstly, building geometries with different facade orientations, width-to-length ratios, and roof pitches were simulated. Secondly, different glazing types, sizes, and locations were considered for their respective daylight performance. Finally, the use of different materials for the facade, floor and roof of the buildings were simulated and comparatively analysed. The study analysed the simulation results to assess daylight availability in relation to different building properties. The results provided insight that can help determine building geometry, window properties, and material selection during the design process. Overall, the study highlighted the importance of further research and development of design guidelines and standards that incorporate these factors to improve the daylighting performance of these buildings, while ensuring animal welfare and productivity.
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| 2. |
- Lin, Qi, et al.
(författare)
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Transient social-ecological dynamics reveal signals of decoupling in a highly disturbed Anthropocene landscape
- 2024
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences (PNAS). - 0027-8424 .- 1091-6490. ; 121:17
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Tidskriftsartikel (refereegranskat)abstract
- Understanding the transient dynamics of interlinked social-ecological systems (SES) is imperative for assessing sustainability in the Anthropocene. However, how to identify critical transitions in real-world SES remains a formidable challenge. In this study, we present an evolutionary framework to characterize these dynamics over an extended historical timeline. Our approach leverages multidecadal rates of change in socioeconomic data, paleoenvironmental, and cutting-edge sedimentary ancient DNA records from China's Yangtze River Delta, one of the most densely populated and intensively modified landscapes on Earth. Our analysis reveals two significant social-ecological transitions characterized by contrasting interactions and feedback spanning several centuries. Initially, the regional SES exhibited a loosely connected and ecologically sustainable regime. Nevertheless, starting in the 1950s, an increasingly interconnected regime emerged, ultimately resulting in the crossing of tipping points and an unprecedented acceleration in soil erosion, water eutrophication, and ecosystem degradation. Remarkably, the second transition occurring around the 2000s, featured a notable decoupling of socioeconomic development from ecoenvironmental degradation. This decoupling phenomenon signifies a more desirable reconfiguration of the regional SES, furnishing essential insights not only for the Yangtze River Basin but also for regions worldwide grappling with similar sustainability challenges. Our extensive multidecadal empirical investigation underscores the value of coevolutionary approaches in understanding and addressing social-ecological system dynamics.
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| 3. |
- Malara, Natalia, et al.
(författare)
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Multicancer screening test based on the detection of circulating non haematological proliferating atypical cells
- 2024
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Ingår i: Molecular Cancer. - : BMC. - 1476-4598. ; 23:1
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background the problem in early diagnosis of sporadic cancer is understanding the individual's risk to develop disease. In response to this need, global scientific research is focusing on developing predictive models based on non-invasive screening tests. A tentative solution to the problem may be a cancer screening blood-based test able to discover those cell requirements triggering subclinical and clinical onset latency, at the stage when the cell disorder, i.e. atypical epithelial hyperplasia, is still in a subclinical stage of proliferative dysregulation. Methods a well-established procedure to identify proliferating circulating tumor cells was deployed to measure the cell proliferation of circulating non-haematological cells which may suggest tumor pathology. Moreover, the data collected were processed by a supervised machine learning model to make the prediction. Results the developed test combining circulating non-haematological cell proliferation data and artificial intelligence shows 98.8% of accuracy, 100% sensitivity, and 95% specificity. Conclusion this proof of concept study demonstrates that integration of innovative non invasive methods and predictive-models can be decisive in assessing the health status of an individual, and achieve cutting-edge results in cancer prevention and management.
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