Results 81 to 90 of about 25,322,466 (386)

A high temporal resolution global gridded dataset of human thermal stress metrics

open access: yesScientific Data
The human thermal stress indices and datasets are vital for promoting public health and reducing negative environmental impacts as global climate change and extreme meteorological events increase.
Hongdeng Jian   +12 more
doaj   +1 more source

Study on the Evolution and Coupling Coordinated Development of Passenger and Freight Transport Network of New Western Land-Sea Corridor

open access: yesApplied Sciences, 2022
Based on the associated network of passenger and freight transport in the New Western Land-Sea Corridor, the structure and characteristics of passenger and freight transport network in different years are analyzed using passenger volume and freight ...
Rui Ding   +6 more
doaj   +1 more source

Speciation Through the Lens of Population Dynamics: A Theoretical Primer on How Small and Large Populations Diverge

open access: yesPopulation Ecology, EarlyView.
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi   +3 more
wiley   +1 more source

Clustering Big Data

open access: yesProceedings of the 7th International Conference on Data Science, Technology and Applications, 2018
abstract
Michele Ianni   +3 more
openaire   +6 more sources

Comprehensive Survey of Big Data Mining Approaches in Cloud Systems

open access: yes, 2021
Cloud computing, data mining, and big online data are discussed in this paper as hybridization possibilities. The method of analyzing and visualizing vast volumes of data is known as the visualization of data mining.
Z. Ageed   +6 more
semanticscholar   +1 more source

Impact of Biases in Big Data [PDF]

open access: yes, 2018
The underlying paradigm of big data-driven machine learning reflects the desire of deriving better conclusions from simply analyzing more data, without the necessity of looking at theory and models. Is having simply more data always helpful? In 1936, The
Glauner, Patrick   +2 more
core   +1 more source

Semantic HMC for Big Data Analysis

open access: yes, 2014
Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology ...
Bertaux, Aurlie   +4 more
core   +2 more sources

FoxO1 signaling in B cell malignancies and its therapeutic targeting

open access: yesFEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac   +3 more
wiley   +1 more source

Deconstructability prediction for building using machine learning and ensemble feature selection techniques

open access: yesScientific Reports
Construction industries remain one of the most significant users of materials and generators of waste in the UK and globally. Notwithstanding, the principle of circular economy is becoming prominent as an effective means for powering greater resource ...
Habeeb Balogun   +7 more
doaj   +1 more source

The big challenges of big data [PDF]

open access: yesNature, 2013
As they grapple with increasingly large data sets, biologists and computer scientists uncork new bottlenecks.
openaire   +3 more sources

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