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1. Adapting Methods of Language Documentation To Multilingual Settings

   https://doi.org/10.1163/19552629-15020006  

   Good, Jeff (May 2023, Journal of Language Contact)

   Abstract Commonly recommended methods for documenting endangered languages are built around the assumption that a given documentary project will focus on a single language rather than a multilingual ecology. This hinders the potential usability of documentary materials for the study of language contact. Research in domains such as ethnography and sociolinguistics has developed conceptual and analytical tools for understanding patterns of multilingual usage, but the insights of such work have yet to be translated into concrete recommendations for enhancements to documentary practice. This paper considers how standard documentary approaches can be adapted to multilingual contexts with respect to activities such as the collection of metadata, the use of ethnographic methods, and the recording and annotation of naturalistic multilingual discourse. A particular focus of the discussion are ways in which documentary projects can create better records of multilingual practices even if these are not the focus of the work. 

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2. Comment: From Ridge Regression to Methods of Regularization

   Yuan, M. (January 2020, Technometrics)

   null (Ed.)
3. Application of Edge-to-Cloud Methods Toward Deep Learning

   https://doi.org/10.1109/eScience55777.2022.00065  

   Choudhary, Khushi; Nersisyan, Nona; Lin, Edward; Chandrasekaran, Shobana; Mayani, Rajiv; Pottier, Loic; Murillo, Angela P.; Virdone, Nicole K.; Kee, Kerk; Deelman, Ewa (October 2022, 2022 IEEE 18th International Conference on EScience (EScience))
4. Comparison of Nursery Methods to Strengthen Oysters for Aquaculture

   https://doi.org/10.18785/gcr.3001.09  

   Combs, Emily M.; Belgrad, Benjamin A.; Smee, Delbert L. (January 2019, Gulf and Caribbean Research)
5. Evaluation of Methods to Quantify Sialic Acid on Glycomacropeptide

   https://doi.org/10.3390/foods14223939  

   Dirks, Madison L; Hale, Joseph; Theiste, Eric; McDougal, Owen M (November 2025, Foods)

   Glycomacropeptide (GMP) is isolated from whey and used as an ingredient in phenylketonuria-safe foods because it does not contain phenylalanine. GMP is highly glycosylated and has several sites where N-acetylneuraminic acid (NANA) is bound. In the dairy industry, quantification of NANA from dairy proteins is accomplished by colorimetric, fluorometric, enzymatic, and chromatographic procedures; there is no uniformly accepted industry-wide standard method. In this investigation, NANA quantification methods were evaluated using GMP, and a comparison was made based on the length of time to complete the assay, protein-specificity, linearity, precision, and accuracy. From the methods evaluated, the chromatography protocol was determined to have the greatest benefit for use as a dairy industry standard to measure NANA on GMP. The average mass percent of NANA in 10 statistically independent replicates from a commercial GMP product was measured to be 6.18% ± 0.12%, with a relative standard deviation of 1.94%, which was the lowest of all the methods tested. The accuracy of the chromatographic approach was validated using spike and recovery experiments that provided an average recovery of 90.25%. 

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