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Genomic insights into cardiovascular traits from deep phenotyping of large-scale population cohorts

• Authors : Yeung, Ming Wai

• Source: Yeung , M W 2024 , ' Genomic insights into cardiovascular traits from deep phenotyping of large-scale population cohorts ' , Doctor of

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From the Large-Scale Structure to the Milky Way Halo:Machine Learning techniques for structure detection and analysis

• Authors : Awad, Petra

• Source: Awad , P 2024 , ' From the Large-Scale Structure to the Milky Way Halo : Machine Learning techniques for structure detection and analysis

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Stellar mass-metallicity relation throughout the large-scale structure of the Universe:CAVITY mother sample

• Authors : Domínguez-Gómez, Jesús; Pérez, Isabel; Ruiz-Lara, Tomás

Subjects: Galaxies: abundances; Galaxies: evolution; Galaxies: formation

• Source: Domínguez-Gómez , J , Pérez , I , Ruiz-Lara , T , Peletier , R F , Sánchez-Blázquez , P , Lisenfeld , U , Bidaran , B , Falcón-Barroso , J , Alcázar-Laynez , M , Argudo-Fernández , M ,

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Clustering-based average state observer design for large-scale network systems

• Authors : Niazi, Muhammad Umar B.; Cheng, Xiaodong; Canudas-de-Wit, Carlos

Subjects: Computational complexity; Large-scale systems; Network clustering

• Source: Niazi , M U B , Cheng , X , Canudas-de-Wit , C & Scherpen , J M A 2023 , ' Clustering-based average state observer design for large-scale

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Large-scale facilitative effects for a single nurse shrub:Impact of the rainfall gradient, plant community and distribution across a geographical barrier

• Authors : Velasco, Nicolás; Soto-Agurto, Cristina; Carbone, Lucas

Subjects: Argentina; Chile; humped

• Source: Velasco , N , Soto-Agurto , C , Carbone , L , Massi , C , Bustamante , R & Smit , C 2024 , ' Large-scale facilitative effects for a single

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Large-scale excess H I absorption around z ≈ 4 galaxies detected in a background galaxy spectrum in the MUSE eXtremely deep field

• Authors : Matthee, Jorryt; Golling, Christopher; Mackenzie, Ruari

Subjects: cosmology: observations; galaxies: high-redshift; intergalactic medium

• Source: Matthee , J , Golling , C , Mackenzie , R , Pezzulli , G , Lilly , S , Schaye , J , Bacon , R , Kusakabe , H , Urrutia , T , Boogaard , L , Brinchmann , J , Maseda , M V , Garel , T , Bouché , N F &

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Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

• Authors : Geng, Haiyang; Xu, Pengfei; Aleman, Andre

Subjects: Default mode network; Dynamic brain network; Emotion

• Source: Geng , H , Xu , P , Aleman , A , Qin , S & Luo , Y J 2024 , ' Dynamic Organization of Large-scale Functional Brain Networks Supports

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Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks

• Authors : Tello, Andrés; Truong, Huy; Lazovik, Alexander

• Source: Tello , A , Truong , H , Lazovik , A & Degeler , V 2024 , Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep

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Hydrocortisone-associated death and hospital length of stay in patients with sepsis:A retrospective cohort of large-scale clinical care data

• Authors : Li, Mohan; Noordam, Raymond; Winter, Elizabeth M

Subjects: Male; Humans; Aged

• Source: Li , M , Noordam , R , Winter , E M , van Meurs , M , Bouma , H R , Arbous , M S , Rensen , P C N & Kooijman , S 2024 , ' Hydrocortisone-associated death and hospital length of stay in patients with

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Large-scale evaluation of cold-start mitigation in adaptive fact learning:Knowing “what” matters more than knowing “who”

• Authors : van der Velde, Maarten; Sense, Florian; Borst, Jelmer P.

Subjects: Adaptive learning system; Bayesian modelling; Cold-start problem

• Source: van der Velde , M , Sense , F , Borst , J P & Rijn , H V 2024 , ' Large-scale evaluation of cold-start mitigation in adaptive fact

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