57 research outputs found

    Practical Methodology for Bio-ethical Imperative of Fritz Jahr

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    Pvr expression regulators in equilibrium signal control and maintenance of Drosophila blood progenitors.

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    Blood progenitors within the lymph gland, a larval organ that supports hematopoiesis in Drosophila melanogaster, are maintained by integrating signals emanating from niche-like cells and those from differentiating blood cells. We term the signal from differentiating cells the 'equilibrium signal' in order to distinguish it from the 'niche signal'. Earlier we showed that equilibrium signaling utilizes Pvr (the Drosophila PDGF/VEGF receptor), STAT92E, and adenosine deaminase-related growth factor A (ADGF-A) (Mondal et al., 2011). Little is known about how this signal initiates during hematopoietic development. To identify new genes involved in lymph gland blood progenitor maintenance, particularly those involved in equilibrium signaling, we performed a genetic screen that identified bip1 (bric Ć  brac interacting protein 1) and Nucleoporin 98 (Nup98) as additional regulators of the equilibrium signal. We show that the products of these genes along with the Bip1-interacting protein RpS8 (Ribosomal protein S8) are required for the proper expression of Pvr

    Practical Methodology for Bio-ethical Imperative of Fritz Jahr

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    Efarmologija: pledoaje za novu znanost i novu paradigmu obrazovanja

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    Technological development is characterised by a series of related phenomena ā€“ digitalisation, informatisation, robotisation, and globalisation ā€“ resulting in continuous and essential adaptations of human brain and behaviour. These adaptations have awaken the interest of numerous disciplines, but their systematic study, actually, is missing. In the present paper, along with the list of several adaptation fields and examples, the establishing of a new science is suggested ā€“ epharmology (from the Greek epharmozein = to adapt) which might be able to comprehensively approach the gathering and analysis of data from various observations and sources and, based on discerning between wishful and unwishful adaptations, which could exert influence upon legislation and education reform.TehnoloÅ”ki razvitak karakterizira niz povezanih fenomena ā€“ digitalizacija, informatizacija, robotizacija i globalizacija ā€“ koji rezultiraju stalnim i bitnim prilagodbama ljudskog mozga i ponaÅ”anja. Ove prilagodbe bude interes brojnih disciplina, ali njihovo sustavno proučavanje, zapravo, izostaje. U ovome članku se, uz navođenje mnogih područja i primjera prilagodbi, sugerira ustrojavanje nove znanosti ā€“ efarmologije (od grč. epharmozein = prilagođavati se) koja bi na sveobuhvatan način pristupila prikupljanju i obradi podataka iz raznih opservacija i studija te temeljem razlučivanja poželjnih od nepoželjnih adaptacija mogla utjecati na zakonodavstvo i reformu obrazovanja

    Optical transitions of a single nodal ring in SrAs3_3: radially and axially resolved characterization

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    We perform polarized optical reflection measurements on a single nodal-ring semimetal SrAs3\rm{SrAs_3}. For the radial and axial directions of the ring, the optical conductivity Ļƒ1(Ļ‰)\sigma_1(\omega) exhibits a flat absorption Ļƒflat\sigma^{\mathrm{flat}} over a certain frequency range. In addition, a prominent optical peak appears at 2Ī”SOC\Delta_{\mathrm{SOC}} = 30 meV. For comparison, we theoretically calculate Ļƒ1(Ļ‰)\sigma_1(\omega) using an effective model Hamiltonian and first-principles calculations, which successfully reproduces the data for both directions. The Ļƒflat\sigma^{\mathrm{flat}} establishes that the universal power-law of optical conductivity holds robustly in the nodal ring. Furthermore, key quantities of the nodal ring such as the band overlap energy, average ring radius, ring ellipticity, and the SOC-gap are determined from this comparative study. As temperature increases, Ļƒ1(Ļ‰)\sigma_1(\omega) shows a substantial change, suggesting that a TT-driven evolution occurs in the nodal ring.Comment: 6 pages, 4 figures + supplemental material (18 pages, 7 figures

    Reducing time to discovery : materials and molecular modeling, imaging, informatics, and integration

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    This work was supported by the KAIST-funded Global Singularity Research Program for 2019 and 2020. J.C.A. acknowledges support from the National Science Foundation under Grant TRIPODS + X:RES-1839234 and the Nano/Human Interfaces Presidential Initiative. S.V.K.ā€™s effort was supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division and was performed at the Oak Ridge National Laboratoryā€™s Center for Nanophase Materials Sciences (CNMS), a U.S. Department of Energy, Office of Science User Facility.Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish. Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3). The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing-structure-property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights. In this review, we begin by introducing recent progress on related initiatives around the globe, such as the Materials Genome Initiative (U.S.), Materials Informatics (U.S.), the Materials Project (U.S.), the Open Quantum Materials Database (U.S.), Materials Research by Information Integration Initiative (Japan), Novel Materials Discovery (E.U.), the NOMAD repository (E.U.), Materials Scientific Data Sharing Network (China), Vom Materials Zur Innovation (Germany), and Creative Materials Discovery (Korea), and discuss the role of multiscale materials and molecular imaging combined with machine learning in realizing the vision of M3I3. Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure-property relationships. Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach. Examples of materials for applications in energy and information will be reviewed and discussed. A case study on the development of a Ni-Co-Mn cathode materials illustrates M3I3's approach to creating libraries of multiscale structure-property-processing relationships. We end with a future outlook toward recent developments in the field of M3I3.Peer reviewe

    Elevated IFNA1 and suppressed IL12p40 associated with persistent hyperinflammation in COVID-19 pneumonia

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    IntroductionDespite of massive endeavors to characterize inflammation in COVID-19 patients, the core network of inflammatory mediators responsible for severe pneumonia stillremain remains elusive. MethodsHere, we performed quantitative and kinetic analysis of 191 inflammatory factors in 955 plasma samples from 80 normal controls (sample n = 80) and 347 confirmed COVID-19 pneumonia patients (sample n = 875), including 8 deceased patients. ResultsDifferential expression analysis showed that 76% of plasmaproteins (145 factors) were upregulated in severe COVID-19 patients comparedwith moderate patients, confirming overt inflammatory responses in severe COVID-19 pneumonia patients. Global correlation analysis of the plasma factorsrevealed two core inflammatory modules, core I and II, comprising mainly myeloid cell and lymphoid cell compartments, respectively, with enhanced impact in a severity-dependent manner. We observed elevated IFNA1 and suppressed IL12p40, presenting a robust inverse correlation in severe patients, which was strongly associated with persistent hyperinflammation in 8.3% of moderate pneumonia patients and 59.4% of severe patients. DiscussionAberrant persistence of pulmonary and systemic inflammation might be associated with long COVID-19 sequelae. Our comprehensive analysis of inflammatory mediators in plasmarevealed the complexity of pneumonic inflammation in COVID-19 patients anddefined critical modules responsible for severe pneumonic progression
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