PARTICLE SYSTEM-BASED MULTI-HIERARCHY DYNAMIC VISUALIZATION OF OCEAN CURRENT DATA


Critical Evaluation for Education Reform

The school reform movement has done little to provide an accurate analysis of the production of inequality or the reproduction of social injustice in the public schools or the larger social order.The ideology that influences this movement has often prevented the realization of any notion of an egalitarian ideal, the elimination of inequality, or th

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Towards a UK Airborne Bioaerosol Climatology: Real-Time Monitoring Strategies for High Time Resolution Bioaerosol Classification and Quantification

Biological particulate matter (BioPM) is a poorly constrained, ubiquitous, and diverse subset of atmospheric aerosols.They influence climate, air quality, and health via many mechanisms, spurring renewed interest in constraining their emissions to elucidate their impacts.In order to build the framework required to assess the role of EFAMOL EVENING

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An outbreak of Leishmania major from an endemic to a non-endemic region posed a public health threat in Iraq from 2014-2017: Epidemiological, molecular and phylogenetic studies.

Cutaneous leishmaniasis (CL) is a neglected worldwide, zoonotic, vector-borne, tropical disease that is a threat to public health.This threat may spread from endemic to non-endemic areas.Current research has exploited epidemiological, molecular and phylogenetical studies to determine the danger of an outbreak of CL in the borderline area between no

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Domain-Generalized EEG Classification With Category-Oriented Feature Decorrelation and Cross-View Consistency Learning

Generalizing the electroencephalogram (EEG) decoding methods to unseen subjects is an important research direction for realizing practical application of brain-computer interfaces (BCIs).Since distribution shifts across subjects, the performance of most current deep neural networks for decoding EEG signals degrades when dealing with unseen subjects

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