Cultural Competence

Abundance and Species Diversity of Fungi in Rivers with Various Contaminations.

The main objective of this work was to determine the abundance and species diversity of fungi in the waters of selected rivers of Central Europe, NE Poland (Augustów Lakeland), differing in size, physical and chemical properties, and streamflow rate. The minimum abundance of fungi in the analysed rivers was recorded for a river with low concentration of organic matter (8200 CFU/mL, Czarna Hańcza R...

Pseudoneglect in Visual Search: Behavioral Evidence and Connectional Constraints in Simulated Neural Circuitry.

Most people tend to bisect horizontal lines slightly to the left of their true center (pseudoneglect) and start visual search from left-sided items. This physiological leftward spatial bias may depend on hemispheric asymmetries in the organization of attentional networks, but the precise mechanisms are unknown. Here, we modeled relevant aspects of the ventral and dorsal attentional networks (VAN a...

Patient-provider relationship and perceived provider weight bias among American Indians and Alaska Natives.

OBJECTIVE: The objective of this study was to examine patient-provider relationships among American Indians and Alaska Native (AI/AN) patients by exam...

In silico toxicity profiling of natural product compound libraries from African flora with anti-malarial and anti-HIV properties.

This paper describes an analysis of the diversity and chemical toxicity assessment of three chemical libraries of compounds from African flora (the p-...

Evaluation of fingerprinting techniques to assess genotype variation among Zygosaccharomyces strains.

Molecular typing techniques are key tools in surveillance of food spoilage yeasts, in investigations on intra-species population diversity, and in tra...

Music viewed by its entropy content: A novel window for comparative analysis.

Polyphonic music files were analyzed using the set of symbols that produced the Minimal Entropy Description, which we call the Fundamental Scale. This...

Digging deep into Golgi phenotypic diversity with unsupervised machine learning.

The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentali...

The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.

Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations ...

Sex determination from the femur in Portuguese populations with classical and machine-learning classifiers.

The assessment of sex is of paramount importance in the establishment of the biological profile of a skeletal individual. Femoral relevance for sex es...

Vertical zonation and functional diversity of fish assemblages revealed by ROV videos at oil platforms in The Gulf.

An assessment of vertical distribution, diel migration, taxonomic and functional diversity of fishes was carried out at offshore platforms in The (Ara...

Bias-Free Chemically Diverse Test Sets from Machine Learning.

Current benchmarking methods in quantum chemistry rely on databases that are built using a chemist's intuition. It is not fully understood how diverse...

1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life.

We present 1,003 reference genomes that were sequenced as part of the Genomic Encyclopedia of Bacteria and Archaea (GEBA) initiative, selected to maxi...

A Grouping Particle Swarm Optimizer with Personal-Best-Position Guidance for Large Scale Optimization.

Particle Swarm Optimization (PSO) is a popular algorithm which is widely investigated and well implemented in many areas. However, the canonical PSO d...

Neural Network and Nearest Neighbor Algorithms for Enhancing Sampling of Molecular Dynamics.

The free energy calculations of complex chemical and biological systems with molecular dynamics (MD) are inefficient due to multiple local minima sepa...

Sequence-specific bias correction for RNA-seq data using recurrent neural networks.

BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest amo...

Optimizing Variance-Bias Trade-off in the TWANG Package for Estimation of Propensity Scores.

While propensity score weighting has been shown to reduce bias in treatment effect estimation when selection bias is present, it has also been shown t...

Characterization of T and B cell repertoire diversity in patients with RAG deficiency.

Recombination-activating genes 1 and 2 ( and ) play a critical role in T and B cell development by initiating the recombination process that controls ...

Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier.

Missing data is a common issue in community health and epidemiological studies. Direct removal of samples with missing data can lead to reduced sample...

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.

Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPECT myocardial perfusion imaging (MPI) quantificatio...

High-throughput and sensitive analysis of urinary heterocyclic aromatic amines using isotope-dilution liquid chromatography-tandem mass spectrometry and robotic sample preparation system.

Heterocyclic aromatic amines (HCAA) are listed by the US Food and Drug Administration (FDA) as harmful or potentially harmful constituents of tobacco ...