Results 101 to 110 of about 8,723 (139)

Ultra-high-resolution synchrotron phase-contrast CT enables microstructural pulmonary imaging at clinical dose levels. [PDF]

Respir Res
Benke CV, Reiser J, D'Amico L, Sagar MMR, Sodini N, Dreossi D, Contillo A, Longo E, Prašek M, Stern S, Baratella E, Cova MA, Confalonieri M, Confalonieri P, Zanconati F, D'Errico S, Radaelli D, Bruscagin T, Bonazza D, Bayat S, Nolte P, Neubert L, Petzold-Mügge C, Werlein C, Knudsen L, Shin HO, Kamp JC, Hosseini ASA, Wagner WL, Wielpütz MO, Biederer J, Kauczor HU, Alves F, Tromba G, Dullin C.   +34 more
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Association of LVV-Hemorphin-7 with Sepsis and Shock: Roles of Cathepsin D and G in Hemoglobin Metabolism in a Prospective ICU Cohort Study. [PDF]

Biomedicines
Wu YK, Chung HW, Chen YT, Chen HC, Chen IH, Su WL.   +5 more
europepmc   +1 more source

APD6: the antimicrobial peptide database is expanded to promote research and development by deploying an unprecedented information pipeline. [PDF]

Nucleic Acids Res
Wang G, Schmidt C, Li X, Wang Z.
europepmc   +1 more source

Computational Architectures for Precision Dairy Nutrition Digital Twins: A Technical Review and Implementation Framework. [PDF]

Sensors (Basel)
Rao S, Neethirajan S.
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PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs. [PDF]

Nucleic Acids Res
Zeng H, Zhang W, Lin Q, Gao Y, Teng J, Xu Z, Cai X, Zhong Z, Wu J, Liu Y, Diao S, Wei C, Gong W, Pan X, Li Z, Huang X, Chen X, Du J, PigGTEx Consortium .   +18 more
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A New Perspective on Overfeeding in the Intensive Care Unit (ICU): Challenges, Dangers and Prevention Methods. [PDF]

Life (Basel)
Cehan VD, Cehan AR, Pui MC, Lazar A.
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Digital twin: Data exploration, architecture, implementation and future. [PDF]

Heliyon
Dihan MS, Akash AI, Tasneem Z, Das P, Das SK, Islam MR, Islam MM, Badal FR, Ali MF, Ahamed MH, Abhi SH, Sarker SK, Hasan MM.   +12 more
europepmc   +1 more source

Ensembl 2024. [PDF]

Nucleic Acids Res
Harrison PW, Amode MR, Austine-Orimoloye O, Azov AG, Barba M, Barnes I, Becker A, Bennett R, Berry A, Bhai J, Bhurji SK, Boddu S, Branco Lins PR, Brooks L, Ramaraju SB, Campbell LI, Martinez MC, Charkhchi M, Chougule K, Cockburn A, Davidson C, De Silva NH, Dodiya K, Donaldson S, El Houdaigui B, Naboulsi TE, Fatima R, Giron CG, Genez T, Grigoriadis D, Ghattaoraya GS, Martinez JG, Gurbich TA, Hardy M, Hollis Z, Hourlier T, Hunt T, Kay M, Kaykala V, Le T, Lemos D, Lodha D, Marques-Coelho D, Maslen G, Merino GA, Mirabueno LP, Mushtaq A, Hossain SN, Ogeh DN, Sakthivel MP, Parker A, Perry M, Piližota I, Poppleton D, Prosovetskaia I, Raj S, Pérez-Silva JG, Salam AIA, Saraf S, Saraiva-Agostinho N, Sheppard D, Sinha S, Sipos B, Sitnik V, Stark W, Steed E, Suner MM, Surapaneni L, Sutinen K, Tricomi FF, Urbina-Gómez D, Veidenberg A, Walsh TA, Ware D, Wass E, Willhoft NL, Allen J, Alvarez-Jarreta J, Chakiachvili M, Flint B, Giorgetti S, Haggerty L, Ilsley GR, Keatley J, Loveland JE, Moore B, Mudge JM, Naamati G, Tate J, Trevanion SJ, Winterbottom A, Frankish A, Hunt SE, Cunningham F, Dyer S, Finn RD, Martin FJ, Yates AD.   +97 more
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Comparative Study of Apache Pig & Apache Cassandra in Hadoop Distributed Environment

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
Big data analytics is the one which acquire, organise and analyse the huge volume of data with high velocity to find some patterns and useful information. The data sets are so large that it can’t be handled by traditional databases to manage and process the structure and unstructured data. Hence, big data tools i.e.
Yogesh Kumar Gupta
exaly   +2 more sources