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PLoS ONE - DOI: 10.1371/journal.pone.0208692
Segmenting accelerometer data from daily life with unsupervised machine learning

Dafne van Kuppevelt · Joe Heywood · Mark Hamer · Séverine Sabia · Emla Fitzsimons · Vincent van Hees ·

Computer Science Medicine
PLoS ONE - DOI: 10.1371/journal.pone.0211375
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data

Takahiro Yabe · Yoshihide Sekimoto · Kota Tsubouchi · Satoshi Ikemoto ·

Computer Science Medicine Mathematics
PLoS ONE - DOI: 10.1371/journal.pone.0213473
Hafting of Middle Paleolithic tools in Latium (central Italy): New data from Fossellone and Sant’Agostino caves

Ilaria Degano · Sylvain Soriano · Paola Villa · Luca Pollarolo · Jeannette J Lucejko · Zenobia Jacobs · Katerina Douka · Silvana Vitagliano · Carlo Tozzi ·

Geography Medicine
PLoS ONE - DOI: 10.1371/journal.pone.0213292
A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis

Xia Jiang · Alan Wells · Adam Brufsky · Richard Neapolitan ·

PLoS ONE - DOI: 10.1371/journal.pone.0211511
Independent re-analysis of alleged mind-matter interaction in double-slit experimental data

Nicolas Tremblay ·

Computer Science Medicine

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Sistem Informasi Pendataan Penduduk Pendatang Kecamatan Tegallalang [10.36774/jusiti.v8i2.618]

By applying Lipinski's rule of five and ADMET Descriptors, a drug-like database of 29 183 molecules was generated from the Zinc Natural Product Database.

Structure-Based Drug Designing Recommends HDAC6 Inhibitors To Attenuate Microtubule-Associated Tau-Pathogenesis. [10.1021/acschemneuro.8b00405]

The NEWS performance was compared across five different ICU specialties, using the area under the receiver operating characteristic (AUROC) curve and a large vital signs database (n=2,723,055) collected from 28,523 critical care admissions.

Using the National Early Warning Score (NEWS/NEWS 2) in different Intensive Care Units (ICUs) to predict the discharge location of patients [10.1186/s12889-019-7541-3]

The OCO-2-based and surface-based inversions have similar performance when projected in the space of the aircraft data, but the relative strengths and weaknesses of the two flux estimates vary within the northern and tropical parts of the continents.

Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions [10.5194/acp-19-14233-2019]

To evaluate the proposed method, experiments were conducted using Li-DAR point cloud dataset and compared with that using single scale feature extraction methods.

Extraction of Multi-Scale Geometric Features for Point Cloud Classification [10.1109/IGARSS.2019.8898547]

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