Cultural Competence

Trustworthy Augmented Intelligence in Health Care.

Augmented Intelligence (AI) systems have the power to transform health care and bring us closer to the quadruple aim: enhancing patient experience, improving population health, reducing costs, and improving the work life of health care providers. Earning physicians' trust is critical for accelerating adoption of AI into patient care. As technology evolves, the medical community will need to develo...

Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.

A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and deep learning research because sign language recognition accuracy may vary on the skin tone, hand orientation, and background. This research has used ...

Granularity and Entropy of Intuitionistic Fuzzy Information and Their Applications.

A granular structure of intuitionistic fuzzy (IF) information presents simultaneously the similarity and diversity of samples. However, this structura...

Interactive Deep Learning for Shelf Life Prediction of Muskmelons Based on an Active Learning Approach.

A pivotal topic in agriculture and food monitoring is the assessment of the quality and ripeness of agricultural products by using non-destructive tes...

Tungsten oxide polymorphs and their multifunctional applications.

Owing to the natural abundance, easy availability, high stability, non-stoichiometry, and chemical diversity, considerable interest has been devoted t...

A multi-stage machine learning model for diagnosis of esophageal manometry.

High-resolution manometry (HRM) is the primary procedure used to diagnose esophageal motility disorders. Its manual interpretation and classification,...

DiversityScanner: Robotic handling of small invertebrates with machine learning methods.

Invertebrate biodiversity remains poorly understood although it comprises much of the terrestrial animal biomass, most species and supplies many ecosy...

Diversity-Sensitive Generative Adversarial Network for Terrain Mapping Under Limited Human Intervention.

In a collaborative air-ground robotic system, the large-scale terrain mapping using aerial images is important for the ground robot to plan a globally...

Fair comparisons: Life course selection bias and the effect of father absence on US children.

Studies have shown that father absence in opposite-gender couples has detrimental effects on children's wellbeing, net of selection bias. However, lif...

Artificial evolution of robot bodies and control: on the interaction between evolution, learning and culture.

We survey and reflect on how learning (in the form of individual learning and/or culture) can augment evolutionary approaches to the joint optimizatio...

A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks.

The rapid development of deep neural networks (DNNs) in recent years can be attributed to the various techniques that address gradient explosion and v...

90% Accuracy for Photoplethysmography-Based Non-Invasive Blood Glucose Prediction by Deep Learning with Cohort Arrangement and Quarterly Measured HbA1c.

Previously published photoplethysmography-(PPG) based non-invasive blood glucose (NIBG) measurements have not yet been validated over 500 subjects. As...

Advancing health equity with artificial intelligence.

Population and public health are in the midst of an artificial intelligence revolution capable of radically altering existing models of care delivery ...

Genetic diversity in nutritional composition of oat ( L.) germplasm reported from Pakistan.

In the present study, 30 potential germplasm of oat ( L.) were subjected to proximate, elemental, and HPLC analysis to provide a scientific basis to g...

NeuroLISP: High-level symbolic programming with attractor neural networks.

Despite significant improvements in contemporary machine learning, symbolic methods currently outperform artificial neural networks on tasks that invo...

Risk of bias assessment in preclinical literature using natural language processing.

We sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the proce...

Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.

BACKGROUND: The Cox proportional hazards model with neural networks is widely used to accurately predict survival outcome for choosing cancer treatmen...

Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of literature has focused on the challenges of investigati...

Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made from honey and "gesho" (Rhamnus prinoides). Till no...

CXCL1: A new diagnostic biomarker for human tuberculosis discovered using Diversity Outbred mice.

More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum...