Results 51 to 60 of about 62,783 (309)

OSCAR: A Semantic-based Data Binning Approach [PDF]

, 2022
Binning is applied to categorize data values or to see distributions of data. Existing binning algorithms often rely on statistical properties of data. However, there are semantic considerations for selecting appropriate binning schemes.
Correll, Michael, Setlur, Vidya, Battersby, Sarah   +2 more
core   +1 more source

MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies [PDF]

PeerJ, 2019
We previously reported on MetaBAT, an automated metagenome binning software tool to reconstruct single genomes from microbial communities for subsequent analyses of uncultivated microbial species.
Dongwan D. Kang, Feng Li, Edward Kirton, Ashleigh Thomas, Rob Egan, Hong An, Zhong Wang   +6 more
doaj   +2 more sources

Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring

Annals of Clinical and Translational Neurology, EarlyView.
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti, Anemoon T. Bosch, Job van der Palen, Franciscus S. Leijten, Johannes P. van Dijk, Richard H. C. Lazeron, Roland D. Thijs   +6 more
wiley   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo, Zahi Touma, Laura Whittall Garcia, Dafna D. Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

On-line bin-stretching

Theoretical Computer Science, 1998
We are given a sequence of items that can be packed into \(m\) unit size bins. In the classical bin packing problem we fix the size of the bins and try to pack the items in the minimum number of such bins. In contrast, in the bin-stretching problem we fix the number of bins and try to pack the items while stretching the size of the bins as least as ...
Yossi Azar, Oded Regev 0001
openaire   +4 more sources

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Binning Metagenomic Contigs Using Contig Embedding and Decomposed Tetranucleotide Frequency

Biology
Metagenomic binning is a crucial step in metagenomic research. It can aggregate the genome sequences belonging to the same microbial species into independent bins.
Long Fu, Jiabin Shi, Baohua Huang
doaj   +1 more source

Effect of data binning and frame averaging for micro-CT image acquisition on the morphometric outcome of bone repair assessment

Scientific Reports, 2022
Despite the current advances in micro-CT analysis, the influence of some image acquisition parameters on the morphometric assessment outcome have not been fully elucidated.
Milena Suemi Irie, Rubens Spin-Neto, Juliana Simeão Borges, Ann Wenzel, Priscilla Barbosa Ferreira Soares   +4 more
doaj   +1 more source

Protocol for refining metagenomic binning with BinSPreader

STAR Protocols, 2023
Summary: The analysis of metagenomic data obtained via high-throughput DNA sequencing is primarily carried out by a dedicated binning process involving clustering contigs, presumably belonging to the same species.
Sofia Ochkalova, Ivan Tolstoganov, Alla Lapidus, Anton Korobeynikov   +3 more
doaj   +1 more source