PostIndependentzia by Calzada, I

Modélisation des interactions en Italie du Nord au premier âge du Fer: de la circulation de parures aux réseaux d’influences culturelles by Cicolani, V, Huet, T, Zamboni, L

Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration by Car, Lorainne Tudor, Kyaw, Bhone Myint, Dunleavy, Gerard, Smart, Neil A., Semwal, Monika, Rotgans, Jerome Ingmar, Low-Beer, Naomi, Campbell, James

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Biovalorisation of brewer's spent grain (BSG) and sensory evaluation of BSG bread by Goh, Luo Lin

“…Brewer’s spent grain (BSG) is the largest by-product of beer production, generating over an approximate 38 billion kg annually. …”
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Biovalorisation of food waste in Singapore : synergistic effect of a mixed culture in solid-state fermentation by Ong, Adwin Reng Jun

“…Okara and brewer’s spent grain (BSG) are manufacturing side streams produced in massive amounts from the soy and beer industries, respectively, and contributes significantly to food waste. …”
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UROPOT: study protocol for a randomized, double-blind phase I/II trial for metabolism-based potentiation of antimicrobial prophylaxis in the urological tract by Stritt, Kevin, Roth, Beat, Masnada, Audrey, Hammann, Felix, Jacot, Damien, Domingos-Pereira, Sonia, Crettenand, François, Bohner, Perrine, Sommer, Isabelle, Bréat, Emilien, Sauser, Julien, Derré, Laurent, Haschke, Manuel, Collins, James J., McKinney, John

“…Trial registration The protocol is approved by the local ethics committee (CER-VD, 2023–01369, protocole 2.0) and the Swiss Agency for Therapeutic Products (Swissmedic, 701,676) and is registered on the NIH’s ClinicalTrials.gov (trial registration number: NCT05761405). …”
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Application of smartphone-based biophotonic instrumentation for glucose sensing using colorimetric method by Azlan, Nur Ainin Sofhia Nurul

“…The calibration curves consistently confirm that the proposed method aligns with the Beer-Lambert law, in accordance with expectations with previous studies. …”
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The Case for Decentralized Fallback Networks by Lynch, James, Liu, Ziqian, Li, Chenning, Ghobadi, Manya, Balakrishnan, Hari

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m3: Accurate Flow-Level Performance Estimation using Machine Learning by Li, Chenning, Nasr-Esfahany, Arash, Zhao, Kevin, Noorbakhsh, Kimia, Goyal, Prateesh, Alizadeh, Mohammad, Anderson, Thomas

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