Robinson, Gary
This paper explores possible responses to some of the main challenges associated with conducting elite and expert interviews as part of qualitative research in human geography. Drawing on the example of the dynamic fintech industry, the paper outlines some similarities and differences between elite and expert interviews and uses this to identify an...
Hu, Xiaomeng Subramanian, Karpagam Wang, Huaimin Roelants, Sophie Soetaert, Wim Kaur, Guneet Lin, Carol Sze Ki Chopra, Shauhrat S.
Bioconversion of food waste into sophorolipid-based biosurfactants is a promising emerging technology. It is important to evaluate the environmental impacts associated with the latest advancements in sophorolipid production as it matures to maximize sustainability on scale-up. This study takes a dynamic Life Cycle Assessment (dLCA) approach to addr...
Annys, Sofie Van Passel, Steven Dessein, Joost Ghebreyohannes, Tesfaalem Adgo, Enyew Nyssen, Jan
Based on extensive field information, farmer-led small-scale irrigation systems along the dam-regulated Tekeze River is investigated and the likelihood of future irrigation expansion within the area with modelled potential is discussed, considering facilitating and hampering factors. Due to dam-induced hydrologic alterations, downstream socio-ecolo...
De Beelde, Brecht Plets, David Desset, Claude Tanghe, Emmeric Bourdoux, Andre Joseph, Wout
As the throughput requirements for wireless communication links keep rising, characterization of sub-THz radio channels is necessary. This paper presents the results of a radio channel measurement campaign in which we characterize the full D-band, ranging from 110 to 170 GHz, for distances up to 5 m. We measured penetration and reflection loss for ...
McElwee, Pamela Turnout, Esther Chiroleu-Assouline, Mireille Clapp, Jennifer Isenhour, Cindy Jackson, Tim Kelemen, Eszter Miller, Daniel C. Rusch, Graciela Spangenberg, Joachim H.
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The COVID-19 pandemic has caused dramatic and unprecedented impacts on both global health and economies. Many governments are now proposing recovery packages to get back to normal, but the 2019 Intergovernmental Science-Policy Platform for Biodiversity and Ecosystem Services Global Assessment indicated that business as usual has created widespread ...
Cirujano, FG; Llabres i Xamena, FX;
The Lewis/Brønsted acidity and catalytic properties of UiO-66-type metal-organic frameworks are studied in the context of tunable acid catalysts based on the presence of linker defects that create coordinatively unsaturated Zr4+ centers. Fourier transform infrared spectroscopy of adsorbed CO and direct pH measurements are employed to characterize h...
Upadhayay, Hari Ram Lamichhane, Sushil Bajracharya, Roshan Man Cornelis, Wim Collins, Adrian L. Boeckx, Pascal
Published in
The Science of the Total Environment
• Sensitivity of a BIMM to connectivity indices was tested. • Community forest contribution to fine sediment increased 23% with informative priors. • δ13C-FAs values must be obtained from the same size fractions for both source soil and target sediment. • Topographic features and forest management highly influence sediment generation and delivery.
sampantamit;, tiptiwa
Though aquaculture plays an important role in providing foods and healthy diets, there are concerns regarding the environmental sustainability of prevailing practices. This study examines the trends and changes in fisheries originating from aquaculture production in Thailand and provides insights into such production’s environmental impacts and sus...
Aarestrup, F. M. Albeyatti, A. Armitage, W. J. Auffray, C. Augello, L. Balling, R. Benhabiles, N. Bertolini, G. Bjaalie, J. G. Black, M.
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Published in
Genome Medicine
The European Union (EU) initiative on the Digital Transformation of Health and Care (Digicare) aims to provide the conditions necessary for building a secure, flexible, and decentralized digital health infrastructure. Creating a European Health Research and Innovation Cloud (HRIC) within this environment should enable data sharing and analysis for ...
Tazawa, Yuuki; Liang, Kuo-ching; Yoshimura, Michitaka; Kitazawa, Momoko; Kaise, Yuriko; Takamiya, Akihiro; 132127; Kishi, Aiko; Horigome, Toshiro; Mitsukura, Yasue; Mimura, Masaru;
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OBJECTIVE: We aimed to develop a machine learning algorithm to screen for depression and assess severity based on data from wearable devices. METHODS: We used a wearable device that calculates steps, energy expenditure, body movement, sleep time, heart rate, skin temperature, and ultraviolet light exposure. Depressed patients and healthy volunteers...