Search Results - "((\"data parallel algorithms\") OR (\"mass parallel algorithms\"))"
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Authors: et al.
Source: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.
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Authors: et al.
Source: IEEE transactions on visualization and computer graphics; vol 28, iss 10, 3471-3485; 1077-2626
Index Terms: Algorithms, Computer Graphics, Vegetation, Topology, Task analysis, Data analysis, Tools, Level set, Parallel algorithms, Computational topology, contour tree, parallel algorithms, Artificial Intelligence and Image Processing, Computation Theory and Mathematics, Software Engineering, article
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Source: Industrial Management & Data Systems. 2022, Vol. 122 Issue 10, p2351-2370. 20p.
Subject Terms: *BATCH processing, *PRODUCTION scheduling, *MASS customization, *INTEGER programming, *SCHEDULING, *MASS production, PARALLEL algorithms, ROBUST optimization
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Authors: et al.
Source: BMC Veterinary Research. 3/13/2025, Vol. 21 Issue 1, p1-19. 19p.
Subjects: Clustering algorithms, Phalanges, Bone density, Cancellous bone, Compact bone
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Authors:
Source: International Journal of Web Services Research. Jul-Sep2021, Vol. 18 Issue 3, p1-20. 20p.
Subject Terms: *Algorithms, *Data mining -- Social aspects, Social networks, Parallel algorithms, Social evolution
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Source: Journal of Coastal Research; Spring2021, Vol. 94 Issue sp1, p535-539, 1p
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Authors: et al.
Source: Veterinary Medicine & Science. Sep2025, Vol. 11 Issue 5, p1-10. 10p.
Subjects: Livestock breeds, Machine learning, Semen analysis, CART algorithms, Classification, Cattle breeds
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Contributors: Zhimin Huang, Professor, Department of Endocrinology and Diabetes Center, the First Affiliated Hospital of Sun Yat-sen University
Source: Validation of Insulin Dose Prediction Model Based on Long Short- Term Memory Artificial Intelligence Algorithm
Liu L, Ke W, Li H, Li F, Fan G, Kuang J, Ma J, Zhang X, Ji B, Li S, Du Y, Xue Y, Lyu Z, Gao L, Qu S, Shi Y, Yan L, Deng W, Xu C, Dai P, Xu L, Liu J, Wan X, Wei G, Yu S, Hong S, Zhang P, Huang Z, Cao X, Liao Z, Xiao H, Mu Y, Handelsman Y, Li Y. Intense simplified strategy for newly diagnosed type 2 diabetes in patients with severe hyperglycaemia: multicentre, open label, randomised trial. BMJ. 2024 Oct 15;387:e080122. doi: 10.1136/bmj-2024-080122.
Chen A, Huang Z, Wan X, Deng W, Wu J, Li L, Cai Q, Xiao H, Li Y. Attitudes toward diabetes affect maintenance of drug-free remission in patients with newly diagnosed type 2 diabetes after short-term continuous subcutaneous insulin infusion treatment. Diabetes Care. 2012 Mar;35(3):474-81. doi: 10.2337/dc11-1638. Epub 2012 Jan 6.
Weng J, Li Y, Xu W, Shi L, Zhang Q, Zhu D, Hu Y, Zhou Z, Yan X, Tian H, Ran X, Luo Z, Xian J, Yan L, Li F, Zeng L, Chen Y, Yang L, Yan S, Liu J, Li M, Fu Z, Cheng H. Effect of intensive insulin therapy on beta-cell function and glycaemic control in patients with newly diagnosed type 2 diabetes: a multicentre randomised parallel-group trial. Lancet. 2008 May 24;371(9626):1753-60. doi: 10.1016/S0140-6736(08)60762-X.
Li Y, Xu W, Liao Z, Yao B, Chen X, Huang Z, Hu G, Weng J. Induction of long-term glycemic control in newly diagnosed type 2 diabetic patients is associated with improvement of beta-cell function. Diabetes Care. 2004 Nov;27(11):2597-602. doi: 10.2337/diacare.27.11.2597. -
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Authors: et al.
Source: Journal of Chromatography A. 961(2):237-244
Subject Terms: parallel factor analysis, time warping algorithm, NATURAL SCIENCES, Chemistry, NATURVETENSKAP, Kemi, MATHEMATICS, MATEMATIK
File Description: print
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Authors: et al.
Source: Veterinary Medicine & Science. Mar2025, Vol. 11 Issue 2, p1-11. 11p.
Subjects: Corpus luteum, Sexual cycle, Optimization algorithms, Ovarian follicle, Artificial intelligence
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Authors:
Source: Sustainable Computing: Informatics & Systems. Jan2024, Vol. 41, pN.PAG-N.PAG. 1p.
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Contributors: Xu, Lifan [Department of Computer Science, University of Delaware, Newark, DE 19716 (United States)]
Source: Journal of Computational Physics; 231; 23; Other Information: Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
File Description: Medium: X; Size: page(s) 7795-7814
Access URL: http://www.osti.gov/scitech/biblio/22192342
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Authors: et al.
Source: Nutrients. Nov2024, Vol. 16 Issue 22, p3817. 22p.
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Resource Type: eBook.
Subjects: Compilers (Computer programs), Computer programming, Algorithms, Artificial intelligence—Data processing
Categories: COMPUTERS / Programming / Compilers, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Programming / General, COMPUTERS / Programming / Algorithms
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Authors: et al.
Contributors: et al.
Source: Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management
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International Diabetes Federation. IDF Diabetes Atlas, 10th Edn. Brussels, Belgium: 2021. Available at: Https://www.Diabetesatlas.Org.
Centers for Disease Control and Prevention. National Diabetes Statistics Report 2020 Website. https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
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American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S15-S33. doi: 10.2337/dc21-S002.
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Almeda-Valdes P, Cuevas-Ramos D, Aguilar-Salinas CA. Metabolic syndrome and non-alcoholic fatty liver disease. Ann Hepatol. 2009;8 Suppl 1:S18-24.
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Bernabe-Ortiz A, Perel P, Miranda JJ, Smeeth L. Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Prim Care Diabetes. 2018 Dec;12(6):517-525. doi: 10.1016/j.pcd.2018.07.015. Epub 2018 Aug 18.
Jolle A, Midthjell K, Holmen J, Carlsen SM, Tuomilehto J, Bjorngaard JH, Asvold BO. Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study. BMJ Open Diabetes Res Care. 2019 Nov 28;7(1):e000769. doi: 10.1136/bmjdrc-2019-000769. eCollection 2019.
Tsalamandris S, Antonopoulos AS, Oikonomou E, Papamikroulis GA, Vogiatzi G, Papaioannou S, Deftereos S, Tousoulis D. The Role of Inflammation in Diabetes: Current Concepts and Future Perspectives. Eur Cardiol. 2019 Apr;14(1):50-59. doi: 10.15420/ecr.2018.33.1.
Castiglione F, Tieri P, De Graaf A, Franceschi C, Lio P, Van Ommen B, Mazza C, Tuchel A, Bernaschi M, Samson C, Colombo T, Castellani GC, Capri M, Garagnani P, Salvioli S, Nguyen VA, Bobeldijk-Pastorova I, Krishnan S, Cappozzo A, Sacchetti M, Morettini M, Ernst M. The onset of type 2 diabetes: proposal for a multi-scale model. JMIR Res Protoc. 2013 Oct 31;2(2):e44. doi: 10.2196/resprot.2854.
Palumbo MC, de Graaf AA, Morettini M, Tieri P, Krishnan S, Castiglione F. A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis. Comput Biol Med. 2023 Sep;163:107158. doi: 10.1016/j.compbiomed.2023.107158. Epub 2023 Jun 16.
Stolfi P, Valentini I, Palumbo MC, Tieri P, Grignolio A, Castiglione F. Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices. BMC Bioinformatics. 2020 Dec 14;21(Suppl 17):508. doi: 10.1186/s12859-020-03763-4.
Prana V, Tieri P, Palumbo MC, Mancini E, Castiglione F. Modeling the Effect of High Calorie Diet on the Interplay between Adipose Tissue, Inflammation, and Diabetes. Comput Math Methods Med. 2019 Feb 3;2019:7525834. doi: 10.1155/2019/7525834. eCollection 2019.
Palumbo MC, Morettini M, Tieri P, Diele F, Sacchetti M, Castiglione F. Personalizing physical exercise in a computational model of fuel homeostasis. PLoS Comput Biol. 2018 Apr 26;14(4):e1006073. doi: 10.1371/journal.pcbi.1006073. eCollection 2018 Apr.
Karniadakis GE, Kevrekidis IG, Lu L, Perdikaris P, Wang S, Yang L. Physics-informed machine learning. Nat Rev Phys. 2021;3(6):422-440. doi:10.1038/s42254-021-00314-5
Zafar H, Channa A, Jeoti V, Stojanovic GM. Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring. Sensors (Basel). 2022 Jan 14;22(2):638. doi: 10.3390/s22020638.
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Ellahham S. Artificial Intelligence: The Future for Diabetes Care. Am J Med. 2020 Aug;133(8):895-900. doi: 10.1016/j.amjmed.2020.03.033. Epub 2020 Apr 20.
Al-Shamsi S, Govender RD, King J. External validation and clinical usefulness of three commonly used cardiovascular risk prediction scores in an Emirati population: a retrospective longitudinal cohort study. BMJ Open. 2020 Oct 28;10(10):e040680. doi: 10.1136/bmjopen-2020-040680.
Rodrigues PM, Madeiro JP, Marques JAL. Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices. Bioengineering (Basel). 2023 Jul 2;10(7):792. doi: 10.3390/bioengineering10070792.
Riley RD, Ensor J, Snell KI, Debray TP, Altman DG, Moons KG, Collins GS. External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges. BMJ. 2016 Jun 22;353:i3140. doi: 10.1136/bmj.i3140.
Bleeker SE, Moll HA, Steyerberg EW, Donders AR, Derksen-Lubsen G, Grobbee DE, Moons KG. External validation is necessary in prediction research: a clinical example. J Clin Epidemiol. 2003 Sep;56(9):826-32. doi: 10.1016/s0895-4356(03)00207-5. -
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Contributors: Lorenzo Lolli, Principal Investigator
Source: Inter-individual Differences in Response to Recovery- and Sleep-enhancing Nutritional Supplementation in Youth Middle Eastern Football Players: A Randomized Placebo-controlled Replicate Crossover Trial
Deng C, Graz JC. Generating randomization schedules using SAS® programming. In N.W. Galwey (Ed.), Proceedings of the twenty-seventh annual SAS users group international conference (pp. 267-327). 2002.
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Van Someren EJ, Cirelli C, Dijk DJ, Van Cauter E, Schwartz S, Chee MW. Disrupted Sleep: From Molecules to Cognition. J Neurosci. 2015 Oct 14;35(41):13889-95. doi: 10.1523/JNEUROSCI.2592-15.2015.
Tudor-Locke C, Barreira TV, Schuna JM Jr, Mire EF, Katzmarzyk PT. Fully automated waist-worn accelerometer algorithm for detecting children's sleep-period time separate from 24-h physical activity or sedentary behaviors. Appl Physiol Nutr Metab. 2014 Jan;39(1):53-7. doi: 10.1139/apnm-2013-0173. Epub 2013 Jun 26.
St-Onge MP, Mikic A, Pietrolungo CE. Effects of Diet on Sleep Quality. Adv Nutr. 2016 Sep 15;7(5):938-49. doi: 10.3945/an.116.012336. Print 2016 Sep.
Short MA, Arora T, Gradisar M, Taheri S, Carskadon MA. How Many Sleep Diary Entries Are Needed to Reliably Estimate Adolescent Sleep? Sleep. 2017 Mar 1;40(3):zsx006. doi: 10.1093/sleep/zsx006.
Shen T, Thackray AE, King JA, Alotaibi TF, Alanazi TM, Willis SA, Roberts MJ, Lolli L, Atkinson G, Stensel DJ. Are There Interindividual Responses of Cardiovascular Disease Risk Markers to Acute Exercise? A Replicate Crossover Trial. Med Sci Sports Exerc. 2024 Jan 1;56(1):63-72. doi: 10.1249/MSS.0000000000003283. Epub 2023 Aug 30.
Shamseer L, Sampson M, Bukutu C, Schmid CH, Nikles J, Tate R, Johnston BC, Zucker D, Shadish WR, Kravitz R, Guyatt G, Altman DG, Moher D, Vohra S; CENT Group. CONSORT extension for reporting N-of-1 trials (CENT) 2015: Explanation and elaboration. BMJ. 2015 May 14;350:h1793. doi: 10.1136/bmj.h1793. No abstract available.
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Mountjoy M, Sundgot-Borgen JK, Burke LM, Ackerman KE, Blauwet C, Constantini N, Lebrun C, Lundy B, Melin AK, Meyer NL, Sherman RT, Tenforde AS, Klungland Torstveit M, Budgett R. IOC consensus statement on relative energy deficiency in sport (RED-S): 2018 update. Br J Sports Med. 2018 Jun;52(11):687-697. doi: 10.1136/bjsports-2018-099193. No abstract available.
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Lolli L, Bonanno D, Lopez E, Di Salvo V. Night-to-night variability of objective sleep outcomes in youth Middle Eastern football players. Sleep Med. 2024 May;117:193-200. doi: 10.1016/j.sleep.2024.03.023. Epub 2024 Mar 19.
Lolli L, Cardinale M, Lopez E, Maasar MF, Marthinussen J, Bonanno D, Gregson W, Di Salvo V. An objective description of routine sleep habits in elite youth football players from the Middle-East. Sleep Med. 2021 Apr;80:96-99. doi: 10.1016/j.sleep.2021.01.029. Epub 2021 Jan 23.
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Hannon MP, Parker LJF, Carney DJ, McKeown J, Speakman JR, Hambly C, Drust B, Unnithan VB, Close GL, Morton JP. Energy Requirements of Male Academy Soccer Players from the English Premier League. Med Sci Sports Exerc. 2021 Jan;53(1):200-210. doi: 10.1249/MSS.0000000000002443.
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de Zambotti M, Cellini N, Goldstone A, Colrain IM, Baker FC. Wearable Sleep Technology in Clinical and Research Settings. Med Sci Sports Exerc. 2019 Jul;51(7):1538-1557. doi: 10.1249/MSS.0000000000001947.
Covassin N, Singh P, McCrady-Spitzer SK, St Louis EK, Calvin AD, Levine JA, Somers VK. Effects of Experimental Sleep Restriction on Energy Intake, Energy Expenditure, and Visceral Obesity. J Am Coll Cardiol. 2022 Apr 5;79(13):1254-1265. doi: 10.1016/j.jacc.2022.01.038.
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Barrett JR, Tracy DK, Giaroli G. To sleep or not to sleep: a systematic review of the literature of pharmacological treatments of insomnia in children and adolescents with attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol. 2013 Dec;23(10):640-7. doi: 10.1089/cap.2013.0059. Epub 2013 Nov 21.
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Atkinson G, Batterham AM. True and false interindividual differences in the physiological response to an intervention. Exp Physiol. 2015 Jun;100(6):577-88. doi: 10.1113/EP085070. Epub 2015 May 13.
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