Assessing Analytical Methods for the Rapid Detection of Lead Adulteration in the Global Spice Market

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The quantification of population-level health behaviors is crucial for guiding public health policy. However, traditional methods for measuring such health behaviors have several short- comings. In recent years social media data has been successfully used ...

Coronavirus disease 2019 (COVID-19) has caused strain on health systems worldwide due to its high mortality rate and the large portion of cases requiring critical care and mechanical ventilation. During these uncertain times, public health decision makers, ...

Whether it is for personal use or for medical application, wearable sensors are becoming more and more widespread. This is the industry answer to two parallel trends. First, the public show a wish to collect data about their own lifestyle. This rather new ...

Determination of the levels of heavy metal ions would support assessment of sources and pathways of water pollution. However, traditional spatial assessment by manual sampling and off-site detection in the laboratory is expensive and time-consuming and req ...

Urolithin A (UA) is a natural compound produced by gut bacteria from ingested ellagitannins (ETs) and ellagic acid (EA), complex polyphenols abundant in foods such as pomegranate, berries, and nuts. UA was discovered 40 years ago, but only recently has its ...

The mass-utilization of fossil resources has led to a dramatic increase in carbon dioxide (CO2) production, most of which is released directly into the Earth's atmosphere, resulting in global warming. Efforts to contain CO2 emissions and to capture, store ...

Atmospheric aerosol is ubiquitous and its impact on climate and health has not been fully understood yet. Multiple diverse processes and sources lead to atmospheric aerosol formation and emission and this reflects on its heterogeneity in chemical compositi ...

Failure in appropriately managing complex municipal solid waste systems in general and waste plastics in particular negatively affects public health and environment. A decision-making tool incorporating concepts of logistics and supply chain, considering d ...

We propose new methods for creating color varying prints with classical cyan, magenta, yellow inks on a metallic substrate. We use a special crossline halftone with optimized surface coverages of the inks to create color prints on a metallic surface whose ...

Nanoscale color printing has recently emerged as a unique alternative to traditional pigments by providing record spatial resolution, angular independent, durable and single material colors. Widely based on plasmonic nanostructures, numerous efforts in the ...

This report presents a study commissioned by the European Parliament to compare regulatory standards in the EU and the US in four key sectors (food safety, automobiles, chemicals, and pharmaceuticals), chosen for their relevance both to consumer protection ...

We show that optical microcavities drive strong coherent modulations the in co-propagating free-electron beams, with sidebands spanning over 700eV from a sub-mu m-long interaction. The electrons probe the cavity's ringdown time and distinguish the modes sp ...

Several airplanes crashes throughout the past decades are linked to the failure of the airplane flow velocity sensor known as pitot device or pitot tube. The study of its behavior in blockage, either due to human errors or due to environmental factors, cou ...

This paper will present an annual simulation-based workflow for assessing human perceptual and non-visual responses to daylight across a series of view positions in an architectural case study. Through the integration of mathematical models used to predict ...

Federated learning has emerged as an umbrella term for centralized coordination strategies in multi-agent environments. While many federated learning architectures process data in an online manner, and are hence adaptive by nature, most performance analyse ...

We present a novel method that allows for simultaneous geometric and radiometric calibration of a projector-camera pair. It is simple and does not require specialized hardware. We prewarp and align a specially designed projection pattern onto a printed pat ...

Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT devices. This paper introduces a machine learning model based on oblique decision ...

Convolutional neural networks are top-performers on image classification tasks. Understanding how they make use of color information in images may be useful for various tasks. In this paper we analyze the representation learned by a popular CNN to detect a ...

This paper introduces Memory-limited Online Subspace Estimation Scheme (MOSES) for both estimating the principal components of streaming data and reducing its dimension. More specifically, in various applications such as sensor networks, the data vectors a ...

Assessing Analytical Methods for the Rapid Detection of Lead Adulteration in the Global Spice Market

Chattez avec Graph Search

On the use of applied machine learning and digital infrastructure to leverage social media data in health and epidemiology

A scenario modeling pipeline for COVID-19 emergency planning

Low Power Sensing and Processing in Wearable Biomedical Devices for Personalized Health Monitoring

Development of a Heavy Metal Sensing Boat for Automatic Analysis in Natural Waters Utilizing Anodic Stripping Voltammetry

Impact of the Natural Compound Urolithin A on Health, Disease, and Aging

Catalyst design for the transformation of CO2 into value-added products

On the functional group composition of organic aerosol

Network design optimization of waste management systems: the case of plastics

Color changing effects with cross-halftone prints on metal

Silicon nanostructures for bright field full color prints

Transatlantic Patterns of Risk Regulation: Implications for International Trade and Cooperation

Controlling Free Electrons with Optical Whispering-Gallery Modes

Analysis of Pitot tube Airflow Velocity Sensor Behavior in Blockage Situations

A Simulation-Based Workflow to Assess Human-Centric Daylight Performance

Dynamic Federated Learning

Simultaneous Geometric and Radiometric Calibration of a Projector-Camera Pair

ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification

Color Representation in Deep Neural Networks

MOSES: A Streaming Algorithm for Linear Dimensionality Reduction