Crystal structure of tert-butyl 2-phenylethylcarbamate, C13H19NO2

Abstract C13H19NO2, monoclinic, P21/n (no. 14), a = 5.2692(3) Å, b = 13.8663(9) Å, c = 17.8020(13) Å, β = 93.323(6)°, V = 1298.50(15), Z = 4, R gt(F) = 0.0590, wR ref(F 2) = 0.1932, T = 293 K.</jats:p

Methyl N-(2-bromo-4-chlorophenyl)carbamate

In the title molecule, C8H7BrClNO2, the bromochlorophenyl ring is inclined to the methylcarbamate unit by 32.73 (7). In the crystal, N—HO hydrogen bonds form chains of molecules parallel to [100]

Crystal structure of 1,1-dimethyl-3-(2-phenylethyl)urea, C11H16N2O

Abstract C11H16N2O, orthorhombic, Pbca (no. 61), a = 10.7388(6) Å, b = 9.8449(5) Å, c = 21.1259(14) Å, V = 2233.5(2) Å3, Z = 8, R gt (F) = 0.0582, wR ref (F 2) = 0.1795, T = 293 K.</jats:p

Recovering the state sequence of hidden Markov models using mean-field approximations

Inferring the sequence of states from observations is one of the most fundamental problems in Hidden Markov Models. In statistical physics language, this problem is equivalent to computing the marginals of a one-dimensional model with a random external field. While this task can be accomplished through transfer matrix methods, it becomes quickly intractable when the underlying state space is large. This paper develops several low-complexity approximate algorithms to address this inference problem when the state space becomes large. The new algorithms are based on various mean-field approximations of the transfer matrix. Their performances are studied in detail on a simple realistic model for DNA pyrosequencing.Comment: 43 pages, 41 figure

Studies on a catalytic version of the Matteson asymmetric homologation reaction

Studies of a catalytic asymmetric version of the Matteson reaction between dichloromethylboronates and organolithium reagents have been undertaken. From several different chiral catalytic systems studied, only one based on a mannitol derivative has given substantial asymmetric induction close to that previously achieved with a bis(oxazoline) derivative and ytterbium triflate. More detailed study of the latter reaction revealed that fresh ytterbium triflate actually reduced the level of asymmetric induction, while “aged” ytterbium triflate, or a fresh sample that had been treated with water, brought about improved induction. The implications of these findings are discussed

ARIA 2016 Executive Summary Integrated care pathways for predictive medicine across the life cycle

The Allergic Rhinitis and its Impact on Asthma (ARIA) initiative commenced during a World Health Organization (WHO) workshop in 1999. The initial goals were (i) to propose a new allergic rhinitis classification, (ii) to promote the concept of multi-morbidity in asthma and rhinitis and (iii) to develop guidelines with all stakeholders for global use in all countries and populations. ARIA - disseminated and implemented in over 70 countries globally - is now focusing on the implementation of emerging technologies for individualized and predictive medicine. MASK (MACVIA (Contre les MAladies Chroniques pour un VIeillissement Actif)-ARIA Sentinel NetworK) uses mobile technology to develop care pathways in order to enable the management of rhinitis and asthma by a multi-disciplinary group or by patients themselves. An App (Android and iOS) is available in 20 countries and 15 languages. It uses a visual analogue scale to assess symptom  control and work productivity as well as a clinical decision support system. It is associated with an inter-operable tablet for physicians and other health care professionals. The scaling up strategy uses the recommendations of the European Innovation Partnership on Active and Healthy Ageing. The aim of the novel ARIA approach is to provide an active and healthy life to rhinitis sufferers, whatever their age, sex or socio-economic status, in order to reduce health and social inequalities incurred by the disease.Keywords: ARIA, rhinitis, ICT, EIP on AHA, mobile technology, AIRWAYS ICP