This work presents a non-invasive material study of the Red Queen's funerary offering via in situ infrared (FTIR) and Raman spectroscopies for mineral identification, and X-ray fluorescence spectroscopy (XRF) for elemental characterization. A second non-destructive laboratory stage on the main mask of the offering only was carried out by particle induced X-ray emission (PIXE) for further elemental analysis. The main FTIR results indicate that all of the tesserae of the main mask are composed of malachite, identified by their ν(CuO), ν(CuOH), ν1-ν4(CO32-) and δ(CO32-) infrared and T(CO32-) Raman vibrational modes. Moreover, the pupils are composed of obsidian (δ(SiOSi) and ν(SiO) infrared vibrational modes), and remarkably, jadeite was identified in the sclera of the eyes. Most of the accompanying mask's tesserae are green quartz and chalcedony (δ(SiOSi) and ν(SiO) infrared and Raman vibrational modes). The pendants are made of jadeite, while the headdress´ tesserae were identified as omphacite. The diadem and necklace's green beads were mostly jadeite, omphacite and albite. Jadeite, albite and omphacite were identified through their characteristic infrared and Raman vibrational modes ν(SiOSi), δ(SiOSi), τ(SiO4) and AlSiO4 interactions. Yellow-orange beads in the diadem and in the pectoral are quartz.  https://www.selleckchem.com/products/Phlorizin(Phloridzin).html  Green and blue pectoral beads are jadeite, omphacite and quartz. Limestones and shells identified in the figurine, valve and in some of the headdress and accompanying mask's tesserae, were properly classified by Raman spectroscopy, using their characteristic ν1 and ν4 (CO32-) vibrational modes for aragonite and beta-carotenes characteristic Raman shifts for Spondylus valves. These results indicate a special selection and the use of unique raw materials for the royal burial of the Red Queen, different to those used for other rulers of Palenque and other contemporary Mayan sites. In an accomplishment of development of silver nanoparticles (AgNPs) based nanosensor for cysteine in its anionic and neutral forms, we have preferred N-(1-naphthyl)ethylenediamine cation (NEDA+) stabilized AgNPs (NEDA-AgNPs), because NEDA+ is a fluorescent active ion and it imparts excellent stability to AgNPs. Surface Plasmon resonance (SPR) of AgNPs and fluorescence property of NEDA+ are thus useful for presenting NEDA-AgNPs as a dual-tool nanosensor for cysteine molecules. The surface adsorbed NEDA+ cations interact selectively with cysteine as a consequence, the particles get aggregated, which was monitored using spectrophotometric method. The fluorescence property of NEDA+ is heavily quenched in NEDA-AgNPs, which could be reversed in presence of cysteine. The spectrofluorimetric method was thus used for quantification of cysteine as well. The detection limits (LOD to LOL) of anionic cysteine are 0.1784-1.598 μM and 0.0842-2.0 μM, respectively in spectrophotometric and spectrofluorimetric methods. From a real sample matrix, the recovery results are excellent, >95%. For neutral cysteine, the sensitivity is a bit low; 0.308-2.8 μM for spectrophotometric and 0.131-2.8 μM for spectrofluorimetric methods. It is found that the anionic cysteine (Kasso = 2.24 × 105 M-1/4.02 × 105 M-1) binds surface adsorbed NEDA+ cations strongly than that of neutral cysteine (Kasso = 3.69 × 104 M-1/1.24 × 105 M-1). Thus, NEDA-AgNPs show its potentials for being a dual-tool nanosensor as well as dual-form nanosensor for quantification of cysteine in a sample which may be the attractive system to an analyst. Anthraquinone derivatives have been widely used as photocleavage agents and dyes. Here, photoinduced excited state intramolecular charge transfer (ICT) dynamics of 1-aminoanthraquinone in ethanol are studied by femtosecond transient absorption (fs-TA) spectroscopy and quantum chemical (QC) calculations. Four decay associated difference spectra and corresponding lifetime components were obtained by singular value decomposition and global fitting analysis from the fs-TA spectra. The QC calculations prove that the S1 state has obvious ICT character. Planar ICT (PICT) and twisted ICT (TICT) reaction coordinates are observed. On the PICT coordinate, vibrational relaxation (VR) and intersystem crossing (ISC) processes are observed. The ISC efficiency is dependent on excitation wavelength, which elucidates that T'2 state participates in the ISC process on a higher-level than the S'1 state. On the TICT coordinate, the TICT process is dependent on excitation wavelength, which elucidates a direct experimental evidence of an energy barrier in excited state TICT potential energy. BACKGROUND Healthcare consumers are increasingly turning to the online health Q&A communities to seek answers for their questions because current general search engines are unable to digest complex health-related questions. Q&A communities are platforms where users ask unstructured questions from different healthcare topics. OBJECTIVES This study aimed to provide a concept-based approach to automatically assign health questions to the appropriate domain experts. METHODS We developed three processes for (1) expert profiling, (2) question analysis and (3) similarity calculation and assignment. Semantic weight of concepts combined with TF-IDF weighting comprised vectors of concepts as expert profiles. Subsequently, the similarity between submitted questions and expert profiles was calculated to find a relevant expert. RESULTS We randomly selected 345 questions posted by consumers for 38 experts in 13 health topics from NetWellness as input data. Our results showed the precision and recall of our proposed method for the studied topics were between 63 %-92 % and 61 %-100 %, respectively. The calculated F-measure in selected topics was between 62 % (Addiction and Substance Abuse) and 94 % (Eye and Vision Care) with a combined F-measure of 80 %. CONCLUSIONS Concept-based methods using unified medical language system and natural language processing techniques could automatically assign actual health questions in different topics to the relevant domain experts with good performance metrics.