Fluorescent sensing of mercury(II) based on formation of catalytic gold nanoparticles

A fluorescence assay for the highly sensitive and selective detection of Hg2+ using a gold nanoparticle (AuNP)-based probewas proposed. The assay was based on the formation of Hg-Au alloys, which accelerated the oxidization of o-phenylenediamine by dissolved oxygen to produce 2,3-diaminophenazine, a fluorescent product.;A fluorescence assay for the highly sensitive and selective detection of Hg2+ using a gold nanoparticle (AuNP)-based probewas proposed. The assay was based on the formation of Hg-Au alloys, which accelerated the oxidization of o-phenylenediamine by dissolved oxygen to produce 2,3-diaminophenazine, a fluorescent product

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to make talent-related decisions in a quantitative manner. Indeed, the recent development of Big Data and Artificial Intelligence (AI) techniques have revolutionized human resource management. The availability of large-scale talent and management-related data provides unparalleled opportunities for business leaders to comprehend organizational behaviors and gain tangible knowledge from a data science perspective, which in turn delivers intelligence for real-time decision-making and effective talent management at work for their organizations. In the last decade, talent analytics has emerged as a promising field in applied data science for human resource management, garnering significant attention from AI communities and inspiring numerous research efforts. To this end, we present an up-to-date and comprehensive survey on AI technologies used for talent analytics in the field of human resource management. Specifically, we first provide the background knowledge of talent analytics and categorize various pertinent data. Subsequently, we offer a comprehensive taxonomy of relevant research efforts, categorized based on three distinct application-driven scenarios: talent management, organization management, and labor market analysis. In conclusion, we summarize the open challenges and potential prospects for future research directions in the domain of AI-driven talent analytics.Comment: 30 pages, 15 figure

Mucin corona delays intracellular trafficking and alleviates cytotoxicity of nanoplastic-benzopyrene combined contaminant

Nanoplastics have recently become a worldwide concern as newly emerging airborne pollutants, which can associate with polycyclic aromatic hydrocarbons (PAHs) and form combined contaminant nanoparticles (CCNPs). After being inhaled in the respiratory system, the CCNPs would first encounter the mucous gel layer being rich in mucin. Herein, polystyrene-benzopyrene (PS@Bap) NPs were prepared as CCNPs model and their interaction with mucin and the resultant biological responses were studied. It was observed that mucin corona stably attached to the CCNPs surface, which significantly altered the fate of the CCNPs in lung epithelial cells (A 549 cell line). The mucin corona would 1) stably adsorbed on PS@Bap at the early stages of endocytosis until degraded during the lysosomal transport and maturation process, 2) delay intracellular trafficking of PS@Bap and the progress of Bap detached from PS, 3) enhance uptake of PS@Bap but reduce the cytotoxicity elicited by PS@Bap, as indicated by cell viability, generation of reactive oxygen species, impairment on mitochondrial function, and further cell apoptosis. In addition, in vivo study also verified the enhanced effect of PS on the development of an acute lung inflammatory response induced by Bap. This study highlights the significance of incorporating the effects of mucin for precisely assessing the respiratory system toxicity of nanoplastics based CCNPs in atmospheric environments

Contribution a la modelisation numerique des phenomenes electromagnetiques

SIGLECNRS T Bordereau / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

A facile synthesis of perforated reduced graphene oxide for high performance electrochemical sensors

Highly active perforated reduced graphene oxide (P-rGO) was synthesized by a facile methodology based on co-deposition of graphene oxide with sacrificial Prussian blue. Electrode surface properties were characterized by SEM and EDS. The GC/P-rGO electrode exhibited a larger specific surface area than that of GCE. These findings highlighted that the signal was enhanced for both dopamine detection and selenium detection by using P-rGO as a relevant supporting substrate. The result indicated that the large number of perforated structures formed numerous electrically conductive channels in the structure, improving the electrocatalytic properties

Ping pong : an exergame for cognitive inhibition training

Cognitive inhibition, a key constituent of healthy cognition, has been shown to be susceptible to age-related cognitive declines. Research has shown that cognitive rehabilitation training can facilitate older adults to maintain healthy cognitive functions. Compared to cognitive rehabilitation alone, the combination of physical and cognitive exercises is more effective to train older adults’ cognitive functions. Focusing on the training of older adults’ cognitive inhibition, we design the Ping Pong exergame in this work, which incorporates the traditional cognitive task with physical exercises in the game environment to improve older adults’ cognitive inhibition. A longitudinal study was conducted to evaluate the usability of Ping Pong exergame and its effectiveness on training older adults’ cognitive inhibition. The results show that the Ping Pong exergame received a good usability score and players presented significantly better performance in cognitive tasks after playing the exergame.AI SingaporeMinistry of Health (MOH)National Research Foundation (NRF)Accepted versionThis research is supported, in part, by the Singapore Ministry of Health under its National Innovation Challenge on Active and Confident Ageing (NIC Project No. MOH/NIC/COG04/2017), and also by the National Research Foundation, Singapore, under its AI Singapore Programme (AISG Award No: AISG–GC–2019–003)

Gold Microelectrode Arrays Based Electrode for Determination of Trace Copper in Seawater

We report a novel and facile gold microelectrode array (Au MEA) for the determination of trace Cu2+ by differential pulse anodic stripping voltammetry (DPASV). The gold microelectrode array was fabricated by a multi-step micro-fabrication approach combining sputtering for the deposition of metals and the dielectric material (SiO2) on the surface of a silicon wafer and photolithography for the definition of the geometry of the electrode. Due to the rapid mass transporting and low background current of gold microelectrode array, low detection limit (1.3 pM) and wide linear range (10-150 pM) can be obtained for the determination of Cu2+. The practical application of the proposed electrode has been carried out for the determination of trace level of Cu2+ in real seawater sample