244 research outputs found

    Solar Cycle Variation of 0.3-1.29 MeV/nucleon Heavy Ion Composition during Quiet Times near 1 AU in Solar Cycles 23 and 24

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    We report on the annual variation of quiet-time suprathermal ion composition for C through Fe using Advanced Composition Explorer (ACE)/Ultra-Low Energy Isotope Spectrometer (ULEIS) data over the energy range 0.3 MeV/nuc to 1.28 MeV/nuc from 1998 through 2019, covering solar cycle 23's rising phase through Solar Cycle 24's declining phase. Our findings are (1) quiet time suprathermal abundances resemble CIR-associated particles during solar minima; (2) quiet time suprathermals are M/Q fractionated in a manner that is consistent with M/Q fractionation in large gradual solar energetic particle events (GSEP) during solar maxima; and (3) variability within the quiet time suprathermal pool increases as a function of M/Q and is consistent with the analogous variability in GSEP events. From these observations, we infer that quiet time suprathermal ions are remnants of CIRs in solar minima and GSEP events in solar maxima. Coincident with these results, we also unexpectedly show that S behaves like a low FIP ion in the suprathermal regime and therefore drawn from low FIP solar sources.Comment: Accepted in Astrophysical Journal. 19 pages, 10 figures, 4 table

    Nonlinear viscosity and velocity distribution function in a simple longitudinal flow

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    A compressible flow characterized by a velocity field ux(x,t)=ax/(1+at)u_x(x,t)=ax/(1+at) is analyzed by means of the Boltzmann equation and the Bhatnagar-Gross-Krook kinetic model. The sign of the control parameter (the longitudinal deformation rate aa) distinguishes between an expansion (a>0a>0) and a condensation (a<0a<0) phenomenon. The temperature is a decreasing function of time in the former case, while it is an increasing function in the latter. The non-Newtonian behavior of the gas is described by a dimensionless nonlinear viscosity η(a)\eta^*(a^*), that depends on the dimensionless longitudinal rate aa^*. The Chapman-Enskog expansion of η\eta^* in powers of aa^* is seen to be only asymptotic (except in the case of Maxwell molecules). The velocity distribution function is also studied. At any value of aa^*, it exhibits an algebraic high-velocity tail that is responsible for the divergence of velocity moments. For sufficiently negative aa^*, moments of degree four and higher may diverge, while for positive aa^* the divergence occurs in moments of degree equal to or larger than eight.Comment: 18 pages (Revtex), including 5 figures (eps). Analysis of the heat flux plus other minor changes added. Revised version accepted for publication in PR

    Evaluation of equity in informal land development systems in two Nigerian cities

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    The informal land development system in Sub-Saharan Africa (SSA) is perceived to promote equity and could be leveraged to support sustainable urban development and management. However, scanty empirical evidence exists on the extent of the system’s provision of equity to support policy formulation and practice in the region. Based on stakeholder workshops, focus group discussions and questionnaire surveys, this study analyses the system’s provision of equity in Nigeria. The study finds all categories of people undertake informal developments. Consistent with literature, this finding reflects wide patronage of the informal land development system and its relevance. Nevertheless, contrary to the existing perception, the system’s provision of equity is low. The study recommends for the institution of pro-poor and gender sensitive land development and management policies and programmes to increase the levels of equity to support the achievement of the country’s sustainable urban development and management agenda

    Characteristics of the Alternative Phenotype of Microglia/Macrophages and its Modulation in Experimental Gliomas

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    Microglia (brain resident macrophages) accumulate in malignant gliomas and instead of initiating the anti-tumor response, they switch to a pro-invasive phenotype, support tumor growth, invasion, angiogenesis and immunosuppression by release of cytokines/chemokines and extracellular matrix proteases. Using immunofluorescence and flow cytometry, we demonstrate an early accumulation of activated microglia followed by accumulation of macrophages in experimental murine EGFP-GL261 gliomas. Those cells acquire the alternative phenotype, as evidenced by evaluation of the production of ten pro/anti-inflammatory cytokines and expression profiling of 28 genes in magnetically-sorted CD11b+ cells from tumor tissues. Furthermore, we show that infiltration of implanted gliomas by amoeboid, Iba1-positive cells can be reduced by a systematically injected cyclosporine A (CsA) two or eight days after cell inoculation. The up-regulated levels of IL-10 and GM-CSF, increased expression of genes characteristic for the alternative and pro-invasive phenotype (arg-1, mt1-mmp, cxcl14) in glioma-derived CD11b+ cells as well as enhanced angiogenesis and tumor growth were reduced in CsA-treated mice. Our findings define for the first time kinetics and biochemical characteristics of glioma-infiltrating microglia/macrophages. Inhibition of the alternative activation of tumor-infiltrating macrophages significantly reduced tumor growth. Thus, blockade of microglia/macrophage infiltration and their pro-invasive functions could be a novel therapeutic strategy in malignant gliomas

    Bodily tides near spin-orbit resonances

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    Spin-orbit coupling can be described in two approaches. The method known as "the MacDonald torque" is often combined with an assumption that the quality factor Q is frequency-independent. This makes the method inconsistent, because the MacDonald theory tacitly fixes the rheology by making Q scale as the inverse tidal frequency. Spin-orbit coupling can be treated also in an approach called "the Darwin torque". While this theory is general enough to accommodate an arbitrary frequency-dependence of Q, this advantage has not yet been exploited in the literature, where Q is assumed constant or is set to scale as inverse tidal frequency, the latter assertion making the Darwin torque equivalent to a corrected version of the MacDonald torque. However neither a constant nor an inverse-frequency Q reflect the properties of realistic mantles and crusts, because the actual frequency-dependence is more complex. Hence the necessity to enrich the theory of spin-orbit interaction with the right frequency-dependence. We accomplish this programme for the Darwin-torque-based model near resonances. We derive the frequency-dependence of the tidal torque from the first principles, i.e., from the expression for the mantle's compliance in the time domain. We also explain that the tidal torque includes not only the secular part, but also an oscillating part. We demonstrate that the lmpq term of the Darwin-Kaula expansion for the tidal torque smoothly goes through zero, when the secondary traverses the lmpq resonance (e.g., the principal tidal torque smoothly goes through nil as the secondary crosses the synchronous orbit). We also offer a possible explanation for the unexpected frequency-dependence of the tidal dissipation rate in the Moon, discovered by LLR

    Behavioral, Ecological, and Evolutionary Aspects of Meat-Eating by Sumatran Orangutans (Pongo abelii)

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    Meat-eating is an important aspect of human evolution, but how meat became a substantial component of the human diet is still poorly understood. Meat-eating in our closest relatives, the great apes, may provide insight into the emergence of this trait, but most existing data are for chimpanzees. We report 3 rare cases of meat-eating of slow lorises, Nycticebus coucang, by 1 Sumatran orangutan mother–infant dyad in Ketambe, Indonesia, to examine how orangutans find slow lorises and share meat. We combine these 3 cases with 2 previous ones to test the hypothesis that slow loris captures by orangutans are seasonal and dependent on fruit availability. We also provide the first (to our knowledge) quantitative data and high-definition video recordings of meat chewing rates by great apes, which we use to estimate the minimum time necessary for a female Australopithecus africanus to reach its daily energy requirements when feeding partially on raw meat. Captures seemed to be opportunistic but orangutans may have used olfactory cues to detect the prey. The mother often rejected meat sharing requests and only the infant initiated meat sharing. Slow loris captures occurred only during low ripe fruit availability, suggesting that meat may represent a filler fallback food for orangutans. Orangutans ate meat more than twice as slowly as chimpanzees (Pan troglodytes), suggesting that group living may function as a meat intake accelerator in hominoids. Using orangutan data as a model, time spent chewing per day would not require an excessive amount of time for our social ancestors (australopithecines and hominids), as long as meat represented no more than a quarter of their diet

    Cell cycle and aging, morphogenesis, and response to stimuli genes are individualized biomarkers of glioblastoma progression and survival

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    <p>Abstract</p> <p>Background</p> <p>Glioblastoma is a complex multifactorial disorder that has swift and devastating consequences. Few genes have been consistently identified as prognostic biomarkers of glioblastoma survival. The goal of this study was to identify general and clinical-dependent biomarker genes and biological processes of three complementary events: lifetime, overall and progression-free glioblastoma survival.</p> <p>Methods</p> <p>A novel analytical strategy was developed to identify general associations between the biomarkers and glioblastoma, and associations that depend on cohort groups, such as race, gender, and therapy. Gene network inference, cross-validation and functional analyses further supported the identified biomarkers.</p> <p>Results</p> <p>A total of 61, 47 and 60 gene expression profiles were significantly associated with lifetime, overall, and progression-free survival, respectively. The vast majority of these genes have been previously reported to be associated with glioblastoma (35, 24, and 35 genes, respectively) or with other cancers (10, 19, and 15 genes, respectively) and the rest (16, 4, and 10 genes, respectively) are novel associations. <it>Pik3r1</it>, <it>E2f3, Akr1c3</it>, <it>Csf1</it>, <it>Jag2</it>, <it>Plcg1</it>, <it>Rpl37a</it>, <it>Sod2</it>, <it>Topors</it>, <it>Hras</it>, <it>Mdm2, Camk2g</it>, <it>Fstl1</it>, <it>Il13ra1</it>, <it>Mtap </it>and <it>Tp53 </it>were associated with multiple survival events.</p> <p>Most genes (from 90 to 96%) were associated with survival in a general or cohort-independent manner and thus the same trend is observed across all clinical levels studied. The most extreme associations between profiles and survival were observed for <it>Syne1</it>, <it>Pdcd4</it>, <it>Ighg1</it>, <it>Tgfa</it>, <it>Pla2g7</it>, and <it>Paics</it>. Several genes were found to have a cohort-dependent association with survival and these associations are the basis for individualized prognostic and gene-based therapies. <it>C2</it>, <it>Egfr</it>, <it>Prkcb</it>, <it>Igf2bp3</it>, and <it>Gdf10 </it>had gender-dependent associations; <it>Sox10</it>, <it>Rps20</it>, <it>Rab31</it>, and <it>Vav3 </it>had race-dependent associations; <it>Chi3l1</it>, <it>Prkcb</it>, <it>Polr2d</it>, and <it>Apool </it>had therapy-dependent associations. Biological processes associated glioblastoma survival included morphogenesis, cell cycle, aging, response to stimuli, and programmed cell death.</p> <p>Conclusions</p> <p>Known biomarkers of glioblastoma survival were confirmed, and new general and clinical-dependent gene profiles were uncovered. The comparison of biomarkers across glioblastoma phases and functional analyses offered insights into the role of genes. These findings support the development of more accurate and personalized prognostic tools and gene-based therapies that improve the survival and quality of life of individuals afflicted by glioblastoma multiforme.</p

    Journalism as usual: The use of social media as a newsgathering tool in the coverage of the Iranian elections in 2009

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    The Iranian elections of June 2009 and the ensuing protests were hailed as the 'Twitter revolution' in the media in the United Kingdom. However, this study of the use of sources by journalists covering the events shows that despite their rhetoric of the importance of social media in alerting the global community to events in Iran, journalists themselves did not turn to that social media for their own information, but relied most on traditional sourcing practices: political statements, expert opinion and a handful of 'man on the street' quotes for colour. This study shows that although the mythology of the Internet as a place where all voices are equal, and have equal access to the public discourse continues – a kind of idealized 'public sphere' – the sourcing practices of journalists and the traditions of coverage continue to ensure that traditional voices and sources are heard above the crowd

    Pediatric Hospitalizations Associated with 2009 Pandemic Influenza A (H1N1) in Argentina

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    Fil: Libster, Romina. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bugna, Jimena. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Coviello, Silvina. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Hijano, Diego R. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Dunaiewsky, Mariana. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Reynoso, Natalia. Hospital Municipal Materno Infantil de San Isidro; Argentina.Fil: Cavalieri, Maria L. Hospital Eva Perón, Benito Juárez, Buenos Aires; ArgentinaFil: Guglielmo, Maria C. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Areso, M. Soledad. Hospital Eva Perón, Benito Juárez, Buenos Aires; ArgentinaFil: Gilligan, Tomas. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Santucho, Fernanda. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Cabral, Graciela. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Gregorio, Gabriela L. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Moreno, Rina. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Lutz, Maria I. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Panigasi, Alicia L. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Saligari, Liliana. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Caballero, Mauricio T. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Egües Almeida, Rodrigo M. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Gutierrez Meyer, Maria E. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Neder, Maria D. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Davenport, Maria C. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Del Valle, Maria P. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Santidrian, Valeria S. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Mosca, Guillermina. Ministerio de Ciencia, Técnica e Innovación. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Alvarez, Liliana. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Landa, Patricia. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Pota, Ana. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Boloñati, Norma. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Dalamon, Ricardo. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Sanchez Mercol, Victoria I. Hospital Eva Perón, Benito Juárez, Buenos Aires; Argentina.Fil: Espinoza, Marco. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Peuchot, Juan Carlos. Hospital Eva Perón, Benito Juárez, Buenos Aires; Argentina.Fil: Karolinski, Ariel. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bruno, Miriam. Hospital General de Agudos Carlos G. Durand, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Borsa, Ana. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Ferrero, Fernando. Hospital General de Niños Pedro de Elizalde, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Bonina, Angel. Hospital De Niños Sor María Ludovica, La Plata; Argentina.Fil: Ramonet, Margarita. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Albano, Lidia C. Hospital Nacional Profesor Alejandro Posadas, El Palomar, Buenos Aires; Argentina.Fil: Luedicke, Nora. Ministerio de Ciencia, Técnica e Innovación. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Alterman, Elias. Fundación Infant, Ciudad Autónoma de Buenos Aires; Argentina.Fil: Savy, Vilma L. ANLIS Dr.C.G.Malbrán. Instituto de Enfermedades Infecciosas; Argentina.Fil: Baumeister, Elsa. ANLIS Dr.C.G.Malbrán. Instituto Nacional de Enfermedades Infecciosas. Departamento de Virología. Servicio de Virosis Respiratoria; Argentina.Fil: Chappell, James D. Vanderbilt University. Pathology, Nashville, Tennessee; Estados Unidos.Fil: Edwards, Kathryn M. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Fil: Melendi, Guillermina A. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Fil: Polack, Fernando P. Vanderbilt University. Departments of Pediatrics, Nashville, Tennessee; Estados Unidos.Background: While the Northern Hemisphere experiences the effects of the 2009 pandemic influenza A (H1N1) virus, data from the recent influenza season in the Southern Hemisphere can provide important information on the burden of disease in children. Methods: We conducted a retrospective case series involving children with acute infection of the lower respiratory tract or fever in whom 2009 H1N1 influenza was diagnosed on reverse-transcriptase polymerase-chain-reaction assay and who were admitted to one of six pediatric hospitals serving a catchment area of 1.2 million children. We compared rates of admission and death with those among age-matched children who had been infected with seasonal influenza strains in previous years. Results: Between May and July 2009, a total of 251 children were hospitalized with 2009 H1N1 influenza. Rates of hospitalization were double those for seasonal influenza in 2008. Of the children who were hospitalized, 47 (19%) were admitted to an intensive care unit, 42 (17%) required mechanical ventilation, and 13 (5%) died. The overall rate of death was 1.1 per 100,000 children, as compared with 0.1 per 100,000 children for seasonal influenza in 2007. (No pediatric deaths associated with seasonal influenza were reported in 2008.) Most deaths were caused by refractory hypoxemia in infants under 1 year of age (death rate, 7.6 per 100,000). Conclusions: Pandemic 2009 H1N1 influenza was associated with pediatric death rates that were 10 times the rates for seasonal influenza in previous years
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