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Learning Argument Structures with Recurrent Neural Network Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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A novel source-filter stochastic model for voice production
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In: ISSN: 0892-1997 ; Journal of Voice ; https://hal-upec-upem.archives-ouvertes.fr/hal-03179837 ; Journal of Voice, Elsevier, 2021, In Press, pp.1-11. ⟨10.1016/j.jvoice.2020.11.015⟩ (2021)
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Writing At the Horizon: How Producing Imagined Narratives Affects Mood
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In: Senior Projects Fall 2021 (2021)
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Symbolic Model-based Design and Generation of Logical Scenarios for Autonomous Vehicles Validation
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In: 2021 IEEE Intelligent Vehicles Symposium (IV) ; https://hal.archives-ouvertes.fr/hal-03540190 ; 2021 IEEE Intelligent Vehicles Symposium (IV), Jul 2021, Nagoya, Japan. pp.215-222, ⟨10.1109/IV48863.2021.9575528⟩ (2021)
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Learning a weather dictionary of atmospheric patterns using Latent Dirichlet Allocation
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In: https://hal.archives-ouvertes.fr/hal-03258523 ; 2021 (2021)
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К ВОПРОСУ О МОДАЛЬНЫХ ПОКАЗАТЕЛЯХ ЭВИДЕНЦИАЛЬНЫХ ЗНАЧЕНИЙ В ИНГУШСКОМ ЯЗЫКЕ ... : TO THE QUESTION OF MODAL INDICATORS OF EVIDENTIAL VALUES IN THE INGUSH LANGUAGE ...
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Methodological peculiarities of probability estimation of bankruptcy of agrarian enterprises in Ukraine ...
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Probability matching across linguistic and non-linguistic domains ...
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Neural Network Reconstruction of Late-Time Cosmology and Null Tests ...
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Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Exploring How Phonotactic Knowledge Can Be Represented in Cognitive Networks
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In: Big Data and Cognitive Computing ; Volume 5 ; Issue 4 (2021)
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What Mathematical Knowledge Do Prospective Teachers Reveal When Creating and Solving a Probability Problem?
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In: Mathematics; Volume 9; Issue 24; Pages: 3300 (2021)
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The Fundamental Limit Theorem of Countable Markov Chains
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In: Senior Honors Theses (2021)
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Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
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In: Graduate Theses and Dissertations (2021)
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METHOD OF CYCLIC SYNCHRONIZATION BASED ON PERMUTATIONS ; МЕТОД ЦИКЛОВОЇ СИНХРОНІЗАЦІЇ НА ОСНОВІ ПЕРЕСТАНОВОК
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In: Bulletin of Cherkasy State Technological University; No. 4 (2020); 67-76 ; Вестник Черкасского государственного технологического университета; № 4 (2020); 67-76 ; Вісник Черкаського державного технологічного університету; № 4 (2020); 67-76 ; 2708-6070 ; 2306-4412 ; urn:2306:44554.2020 ; 10.24025/2306-4412.4.2020 (2021)
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Un acercamiento didáctico a la cognición cuántica: un modelo matemático para entender cómo aprendemos a tomar decisiones
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In: La investigación acompañando a la vida. Estudios en Homenaje a Emigdia Repetto Jiménez / Pastora Calvo Hernández, Víctor Manuel Hernández Suárez y Juana Rosa Suárez Robaina (coords.), p. 341-357 (2021)
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Dietary consumption in the Swiss Kidney Stone Cohort-NCCR Kidney.CH
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Legay, C.; Pasquier, J.; Fuster, D.; Dhayat, N.; Seeger, H.; Ritter, A.; Ernandez, T.; Stoermann-Chopard, C.; Buchkremer, F.; Segerer, S.; Wuerzner, G.; Haeusermann, T.; Roth, B.; Wagner, C. A.; Bochud, Murielle; Bonny, O.
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In: Swiss Medical Weekly, vol. 151, no. SUPPL 256, pp. 18S-19S (2021)
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Abstract:
Background: Kidney stones are a frequent condition, with a prevalence around 5-10% in Europe. Previous studies showed associations between kidney stones and diet. Thus, studying kidney stone formers' diet is of key importance to establish efficient dietary measures for the prevention and management of kidney stones. Methods: The Swiss Kidney Stone Cohort (SKSC) is a multicentric cohort of stone formers. Participants were seen at baseline, 3 months, 1 year and once a year during 3 years. A control group of non-stone formers was recruited in the general adult population. Repeated consecutive 24-h dietary recalls and 24-h urines were collected. We used two consecutive 24-h dietary recalls at baseline to describe the diet in the stone and non-stone former groups. For each participant, we used the average consumption of 19 food groups from the two recalls as response variables in two-part models that estimate separately the kidney stone status influence on the probability of consumption (logistic regression) and on the amount reported by consumers (linear regression). The covariables in the models were kidney stone status, age, sex, BMI, linguistic region and education level. Results: The characteristics of the 458 participants with two 24-h dietary recalls at baseline are summarized in Table 1. The sex-specific mean consumed amounts for each food group were similar between the two groups, except for vegetables and alcoholic beverages (Table 2). In the two-part model (Table 3), the kidney stone status was significantly associated with the probability of consuming nuts and seeds, cakes and biscuits as well as alcoholic beverages. Among consumers, kidney stone formers reported smaller amounts of vegetables and alcoholic beverages than non-formers. Conclusions: Overall, the diets of kidney stone formers and non-formers are similar. We observed associations of kidney stone status with vegetables and alcoholic beverages consumption. This data helps guiding food recommendations in stone formers in Switzerland.
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Keyword:
adult; alcoholic beverage; biscuit; body mass; cohort analysis; conference abstract; consumer; controlled study; diet; education; educational status; female; human; linear regression analysis; major clinical study; male; nephrolithiasis; nut; plant seed; probability; recall; response variable; Switzerland; vegetable
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URL: https://www.embase.com/search/results?subaction=viewrecord&id=L636868908&from=export https://serval.unil.ch/notice/serval:BIB_B6F587562BE1
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Information flow, artificial phonology and typology
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In: Proceedings of the Society for Computation in Linguistics (2021)
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