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"Hansen, Mark"
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Bodies in Code
Bodies in Code explores how our bodies experience and adapt to digital environments. Cyberculture theorists have tended to overlook biological reality when talking about virtual reality, and Mark B. N. Hansen's book shows what they've been missing. Cyberspace is anchored in the body, he argues, and it's the body--not high-tech computer graphics--that allows a person to feel like they are really \"moving\" through virtual reality. Of course these virtual experiences are also profoundly affecting our very understanding of what it means to live as embodied beings. Hansen draws upon recent work in visual culture, cognitive science, and new media studies, as well as examples of computer graphics, websites, and new media art, to show how our bodies are in some ways already becoming virtual.
eBook
CAMELS-DK: hydrometeorological time series and landscape attributes for 3330 Danish catchments with streamflow observations from 304 gauged stations
Large samples of hydrometeorological time series and catchment attributes are critical for improving the understanding of complex hydrological processes, hydrological model development, and performance benchmarking. CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets have been developed in several countries and regions around the world, providing valuable data sources and test beds for hydrological analysis and new frontiers in data-driven hydrological modeling. Regarding the lack of samples from lowland, groundwater-dominated, small-sized catchments, we develop an extensive repository of a CAMELS-style dataset for Denmark (CAMELS-DK). This CAMELS addition is the first containing both gauged and ungauged catchments as well as detailed groundwater information. The dataset provides dynamic and static variables for 3330 catchments covering all of Denmark from various hydrogeological datasets, meteorological observations, and a well-established national-scale hydrological model. For 304 of those catchments, streamflow observations are provided, whereas simulated streamflow is provided for all 3330 catchments. The dataset contains time series spanning 30 years (1989–2019) with a daily time step, and the data will be updated once new observations and model simulations become available. The dense and full spatial coverage for all 3330 catchments, instead of only gauged catchments, together with the addition of various simulation data from a distributed, process-based model, enhances the applicability of such CAMELS data, for example, for the development of data-driven and hybrid physically informed modeling frameworks or other cases where consistent full spatial coverage is required. We also provide quantities related to the human impact on the hydrological system in Denmark, such as groundwater abstraction and irrigation. The CAMELS-DK dataset is freely available at https://doi.org/10.22008/FK2/AZXSYP (Koch et al., 2024).
Journal Article
Optimisation of Small-Scale Aquaponics Systems Using Artificial Intelligence and the IoT: Current Status, Challenges, and Opportunities
Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish and plants in a closed-loop system. Aquaponics is not dependent on soil or external environmental factors. It uses fish waste to fertilise plants and can save up to 90–95% water. Aquaponics is an innovative system for growing food and is expected to be very promising, but it has its challenges. It is a complex ecosystem that requires multidisciplinary knowledge, proper monitoring of all crucial parameters, and high maintenance and initial investment costs to build the system. Artificial intelligence (AI) and the Internet of Things (IoT) are key technologies that can overcome these challenges. Numerous recent studies focus on the use of AI and the IoT to automate the process, improve efficiency and reliability, provide better management, and reduce operating costs. However, these studies often focus on limited aspects of the system, each considering different domains and parameters of the aquaponics system. This paper aims to consolidate the existing work, identify the state-of-the-art use of the IoT and AI, explore the key parameters affecting growth, analyse the sensing and communication technologies employed, highlight the research gaps in this field, and suggest future research directions. Based on the reviewed research, energy efficiency and economic viability were found to be a major bottleneck of current systems. Moreover, inconsistencies in sensor selection, lack of publicly available data, and the reproducibility of existing work were common issues among the studies.
Journal Article
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Book
Nanomolar EP4 receptor potency and expression of eicosanoid-related enzymes in normal appearing colonic mucosa from patients with colorectal neoplasia
Background
Aberrations in cyclooxygenase and lipoxygenase (LOX) pathways in non-neoplastic, normal appearing mucosa from patients with colorectal neoplasia (CRN), could hypothetically qualify as predisposing CRN-markers.
Methods
To test this hypothesis, biopsies were obtained during colonoscopy from macroscopically normal colonic mucosa from patients with and without CRN. Prostaglandin E2 (PGE
2
) receptors, EP1-4, were examined in Ussing-chambers by exposing biopsies to selective EP receptor agonists, antagonists and PGE
2
. Furthermore, mRNA expression of EP receptors, prostanoid synthases and LOX enzymes were evaluated with qPCR.
Results
Data suggest that PGE
2
binds to both high and low affinity EP receptors. In particular, PGE
2
demonstrated EP4 receptor potency in the low nanomolar range. Similar results were detected using EP2 and EP4 agonists. In CRN patients, mRNA-levels were higher for EP1 and EP2 receptors and for enzymes prostaglandin-I synthase, 5-LOX, 12-LOX and 15-LOX.
Conclusions
In conclusion, normal appearing colonic mucosa from CRN patients demonstrates deviating expression in eicosanoid pathways, which might indicate a likely predisposition for early CRN development and furthermore that PGE
2
potently activates high affinity EP4 receptor subtypes, supporting relevance of testing EP4 antagonists in colorectal neoplasia management.
Journal Article
Colorectal Neoplasia Pathogenesis in Normal Appearing Colonic Mucosa ‐A Perspective With Focus on Eicosanoid Signaling Pathways
Colorectal cancer (CRC) is a major cause of cancer‐related mortality, especially in the Western world, and its incidence is expected to increase in the years to come. Prevention and early detection are key strategies to improve CRC morbidity and mortality. Although pathogenesis is still not fully understood, several signaling pathways have been studied and some are associated with the development of colorectal neoplasia (CRN) and CRC. Further identification of individuals with an increased risk of developing CRN would allow optimization of surveillance programs and help guide pharmacological preventive strategies. This perspective review outlines signaling pathways, biomarkers, and related pharmacological targets potentially implicated in the pathogenesis of CRN. We present our research based on studies carried out in normal appearing colonic mucosa from patients with and without CRN. With a focus on arachidonic acid signaling pathways, and in contrast to many other studies on cell culture and CRN tissue samples, our research is based on fresh colonic biopsies from normal tissue and presents and documents alterations in the function, expression, and location of enzymes, receptors, and transporters potentially involved in CRN pathogenesis. Based on these findings, we suggest areas of focus for future research and drug development for prevention and maybe even treatment of CRN and CRC. Furthermore, based on our observations of the COX‐1 enzyme, we also discuss the implications of this enzyme in the development of CRN.
Journal Article