Behavioural and cognitive changes in a patient with leukoencephalopathy due to lymphomatosis cerebri

A 59 years old female with a prior history of facial hemangioma, with a three-month progressive cognitive impairment (MoCA score 15/30) combined with abulia, unmotivated crying,  non-fluent language, limb paratonia, bilateral Hoffman and palmomental reflex; and apraxic gait.  Presentamos el caso de una mujer de 59 años con antecedente de hemangioma facial, con deterioro cognitivo progresivo de tres meses de evolucón (puntuación MoCA 15/30) combinado con abulia, llanto desmotivado, lenguaje no fluido, paratonia de extremidades, Hoffman bilateral y reflejo palmomental; y marcha apráxica.Se realizó resonancia magnética cerebral al ingreso, que reveló una lesión extensa que involucraba la sustancia blanca periventricular, subcortical y profunda. La espectroscopia multivoxel mostró un aumento en la colina y la disminución de NAA.En la evaluación: un laboratorio específico para infecciones virales, sífilis, VIH, LDH y CEA fue normal. Además, el LCR fue normal y la citología del LCR y la citometría de flujo fueron negativas. La angiografía cerebral descartó la presencia de fístula arteriovenosa o anastomosis anormal. Una biopsia determinó que la lesión era un linfoma no Hodgkin de células B (CD20 +). Debido a su extensión, se realizó el diagnóstico definitivo de linfomatosis cerebral. No se encontró lesión primaria. &nbsp

Herbáceas Aquáticas em Igapós de Água Preta Dentro e Fora de Unidades de Conservação no Estado do Amazonas

As herbáceas aquáticas são indicadoras da composição nutricional dos corpos de águaamazônicos e de suas áreas alagáveis, pois sua riqueza e abundância refletem as características físicas e químicas da bacia onde estão inseridas. Elas possuem diversas funções ecológicas, como proporcionar abrigo e alimento para organismos aquáticos e terrestres. Neste estudo, foi analisada a riqueza, diversidade e composição de espécies de herbáceas aquáticas e sua distribuição em nove igapós de água preta na Amazônia brasileira, dentro e fora de unidades de conservação (UCs). Os resultados foram obtidos pormeio de inventários realizados entre os anos de 2009 e 2017, nos rios Negro, Jaú, Aracá, Cuiuni, Uatumã e Abacate. Foram amostradas 148 parcelas retangulares de 100 x 1m, distribuídas em nove pontos amostrais (6 a 29 parcelas por ponto). O levantamento florístico revelou 174 espécies, distribuídas em 99 gêneros e 46 famílias botânicas, predominando as famílias Cyperaceae (43 ssp.), Poaceae (33 ssp.) e Marantaceae(10 ssp.). As áreas apresentaram baixa similaridade florística, sendo que nenhuma espécie ocorreu em todas as áreas amostradas. As espécies Montrichardia arborescens (L.) Schott (Araceae) e Scleria secans (L.) Urb (Cyperaceae) foram as mais frequentes, ocorrendo em seis das nove áreas amostradas. Apenas 49,2% das espécies de herbáceas aquáticas amostradas estão presentes nas UCs inventariadas, indicando que estratégias de conservação que envolvam mais áreas de igapó de águas pretas precisam ser consideradaspara a proteção desse importante grupo de plantas

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Alteraciones conductuales y cognitivas en un paciente con leucoencefalopatía debida a linfomatosis cerebri

A 59 years old female with a prior history of facial hemangioma, with a three-month progressive cognitive impairment (MoCA score 15/30) combined with abulia, unmotivated crying, non-fluent language, limb paratonia, bilateral Hoffman and palmomental reflex; and apraxic gait

Numerical Analysis of Radiation Propagation in Innovative Volumetric Receivers Based on Selective Laser Melting Techniques

Volumetric absorbers constitute one of the key elements in order to achieve high thermal conversion efficiencies in concentrating solar power plants. Regardless of the working fluid or thermodynamic cycle employed, design trends towards higher absorber output temperatures are widespread, which lead to the general need of components of high solar absorptance, high conduction within the receiver material, high internal convection, low radiative and convective heat losses and high mechanical durability. In this context, the use of advanced manufacturing techniques, such as selective laser melting, has allowed for the fabrication of intricate geometries that are capable of fulfilling the previous requirements. This paper presents a parametric design and analysis of the optical performance of volumetric absorbers of variable porosity conducted by means of detailed numerical ray tracing simulations. Sections of variable macroscopic porosity along the absorber depth were constructed by the fractal growth of single-cell structures. Measures of performance analyzed include optical emission losses from the absorber front and rear faces, penetration of radiation inside the absorber volume, and radiation absorption as a function of absorber depth. The effects of engineering design parameters such as absorber length and wall thickness, material reflectance and porosity distribution on the optical performance of absorbers are discussed, and general design guidelines are given