Molecular adaptations to advanced fungus farming in leaf-cutting ant symbiosis

This paper addresses several aspects of legal regulation concerning cosmetics, homeopathy products and medical devices. The Portuguese legal framework, based mainly upon European directives, is analyzed concerning the administrative legal environment of the production, distribution and marketing of these products. It is stressed that legislation aims to achieve a balance between the values of free trade and enterprise, on one side, and the protection of public health protection, on the other side.1. Cosméticos – Regime jurídico dos cosméticos (Decreto-Lei n.º 296/98, de 25 de Setembro; Decreto-Lei n.º 100/2001, de 28 de Março; Decreto-Lei n.º 206/99, de 9 de Junho). 1.1. Noção funcional de produtos cosméticos e de higiene corporal, ilustrada mediante uma lista (indicativa) de exemplos por categorias de produtos cosméticos e de higiene corporal. 1.2. Desnecessidade de obtenção de autorização administrativa prévia, mas dever de notificação ao INFARMED. 1.3. Requisitos de qualidade e regras de composição e de experimentação (Decreto-Lei n.º 100/2001, de 28 de Março, alterado pelo Decreto-Lei n.º 151/2003, de 11 de Julho). 1.4. Obrigação de assistência por um técnico responsável. 1.5. Rotulagem. 1.6. Requisitos da actividade industrial. 1.7. A protecção da confidencialidade (Decreto-Lei n.º 206/99, de 9 de Junho). 1.8. Sanções. 1.8.1. Poderes de controlo e fiscalização do INFARMED. 1.8.2. Suspensão da comercialização dos produtos por razões de saúde pública. 1.8. 3. As contra-ordenações 2. Produtos Homeopáticos. 2.1. Linhas gerais do Regime jurídico dos produtos homeopáticos (Decreto-Lei n.º 94/95, de 9 de Maio). 2.1.1. Garantia da qualidade e da segurança de utilização dos produtos homeopáticos como salvaguarda da saúde pública.2.1.2. Garantia aos seus utilizadores do fornecimento de informações claras sobre o seu carácter homeopático e a sua inocuidade). 2.2. Noção e modalidades de produtos homeopáticos. 2.2.1. Medicamentos homeopáticos. 2.2.2. Produtos farmacêuticos homeopáticos. 2.3. Delimitação do âmbito de aplicação da lei dos produtos homeopáticos aos produtos farmacêuticos homeopáticos e aplicação do regime jurídico dos medicamentos para uso humano (Decreto-Lei n.º 72/91, 8.2) aos medicamentos homeopáticos. 2.3.1. Comercialização de medicamentos homeopáticos entre fabricantes, grossistas, laboratórios e farmácias. 2.3.2. Venda de medicamentos homeopáticos ao público. 2.4. Regime de registo simplificado da introdução no mercado dos produtos farmacêuticos homeopáticos. 2.4.1. O pedido de registo. 2.4.2. Necessidade de autorização para o fabrico de produtos farmacêuticos homeopáticos. 2.4.3. Exigência de direcção técnica. 2.4.4. Requisitos relativos à rotulagem e ao folheto informativo. 2.5. Fiscalização e contra-ordenações. 3. Dispositivos Médicos – Regime jurídico dos dispositivos médicos (Decreto-Lei n.º 273/95, de 23 de Outubro, alterado pelo Decreto-Lei n.º 30/2003, de 14 de Fevereiro). 3.1. Noção e modalidades de dispositivos médicos. 3.2. Delimitação positiva e negativa do âmbito de aplicação do regime geral dos dispositivos médicos; regimes especiais, como o dos dispositivos médicos para diagnóstico in vitro (Decreto-Lei n.º 189/2000, de 12 de Agosto - que transpõe a Directiva 98/79/CE do Parlamento Europeu e do Conselho, de 27 de Outubro). 3.3. Requisitos de colocação no mercado. 3.3.1 As normas técnicas e os procedimentos de avaliação da conformidade. 3.3.2. Cláusula de salvaguarda – os poderes especiais do presidente do Conselho de Administração do INFARMED. 3.4. O sistema de vigilância (vide Portaria n.º 196/2004, de 1 de Março: aprova o Regulamento do Sistema Nacional de Vigilância de Dispositivos Médicos). 3.5. Fiscalização e contraordenaçõe

JunB is required for endothelial cell morphogenesis by regulating core-binding factor β

The molecular mechanism triggering the organization of endothelial cells (ECs) in multicellular tubules is mechanistically still poorly understood. We demonstrate that cell-autonomous endothelial functions of the AP-1 subunit JunB are required for proper endothelial morphogenesis both in vivo in mouse embryos with endothelial-specific ablation of JunB and in in vitro angiogenesis models. By cDNA microarray analysis, we identified core-binding factor β (CBFβ), which together with the Runx proteins forms the heterodimeric core-binding transcription complex CBF, as a novel JunB target gene. In line with our findings, expression of the CBF target MMP-13 was impaired in JunB-deficient ECs. Reintroduction of CBFβ into JunB-deficient ECs rescued the tube formation defect and MMP-13 expression, indicating an important role for CBFβ in EC morphogenesis

Bicyclic RGD peptides enhance nerve growth in synthetic PEG-based Anisogels

Nerve regeneration scaffolds often consist of soft hydrogels modified with extracellular matrix (ECM) proteins or fragments, as well as linear and cyclic peptides. One of the commonly used integrin-mediated cell adhesive peptide sequences is Arg-Gly-Asp (RGD). Despite its straightforward coupling mechanisms to artificial extracellular matrix (aECM) constructs, linear RGD peptides suffer from low stability towards degradation and lack integrin selectivity. Cyclization of RGD improves the affinity towards integrin subtypes but lacks selectivity. In this study, a new class of short bicyclic peptides with RGD in a cyclic loop and 'random screened' tri-amino acid peptide sequences in the second loop is investigated as a biochemical cue for cell growth inside three-dimensional (3D) synthetic poly(ethylene glycol) (PEG)-based Anisogels. These peptides impart high integrin affinity and selectivity towards either αvβ3 or α5β1 integrin subunits. Enzymatic conjugation of such bicyclic peptides to the PEG backbone enables the formulation of an aECM hydrogel that supports nerve growth. Furthermore, different proteolytic cleavable moieties are incorporated and compared to promote cell migration and proliferation, resulting in enhanced cell growth with different degradable peptide crosslinkers. Mouse fibroblasts and primary nerve cells from embryonic chick dorsal root ganglions (DRGs) show superior growth in bicyclic RGD peptide conjugated gels selective towards αvβ3 or α5β1, compared to monocyclic or linear RGD peptides, with a slight preference to αvβ3 selective bicyclic peptides in the case of nerve growth. Synthetic Anisogels, modified with bicyclic RGD peptides and containing short aligned, magneto-responsive fibers, show oriented DRG outgrowth parallel to the fibers. This report shows the potential of PEG hydrogels coupled with bicyclic RGD peptides as an aECM model and paves the way for a new class of integrin selective biomolecules for cell growth and nerve regeneration

Assessing causes of yield gaps in agricultural areas with diversity in climate and soils

Identification of causes of gaps between yield potential and producer yields has been restricted to small geographic areas. In the present study, we developed a novel approach for identifying causes of yield gaps over large agricultural areas with diversity in climate and soils. This approach was applied to quantify and explain yield gaps in rainfed and irrigated soybean in the North-Central USA (NC USA) region, which accounts for about one third of soybean global production. Survey data on yield and management were collected from 3568 producer fields over two crop seasons and grouped into 10 technology extrapolation domains (TEDs) according to their soil, climate, and water regime. Yield potential was estimated using a combination of crop modeling and boundary functions for water productivity and compared against highest producer yields derived from the yield distribution in each TED-year. Yield gaps were calculated as the difference between yield potential and average producer yield. Explanatory factors for yield gaps were investigated by identifying management practices that were concordantly associated with high- and low-yield fields. Management × TED interactions were then evaluated to elucidate the underlying causes of yield gaps. The chosen spatial TED framework accounted for about half of the regional variation in producer yield within the NC USA region. Across the 10 TEDs, soybean average yield potential ranged from 3.3 to 5.3 Mg ha−1 for rainfed fields and from 5.3 to 5.6 Mg ha−1for irrigated fields. Highest producer yields in each TED were similar (±12%) to the estimated yield potential. Yield gap, calculated as percentage of yield potential, was larger in rainfed (range: 15–28%) than in irrigated (range: 11–16%) soybean. Upscaled to the NC USA region, yield potential was 4.8 Mg ha−1 (rainfed) and 5.7 Mg ha−1 (irrigated), with a respective yield gap of 22 and 13% of yield potential. Sowing date, tillage, and in-season foliar fungicide and/or insecticide were identified as explanatory causes for yield variation in half or more of the 10 TEDs. However, the degree to which these three factors influenced producer yield varied across TEDs. Analysis of in-season weather helped interpret management × TED interactions. For example, yield increase due to advances in sowing date was greater in TEDs with less water limitation during the pod-setting phase. The present study highlights the strength of combining producer survey data with a spatial framework to measure yield gaps, identify management factors explaining these gaps, and understand the biophysical drivers influencing yield responses to crop management

Corona-Pandemie betrifft Unternehmen unterschiedlich : tagesaktuelle Webseiten-Analyse zur Reaktion von Unternehmen auf die Corona-Pandemie in Deutschland

In dieser ZEW-Kurzanalyse analysieren die Autoren/-innen die Webseiten von circa 1,1 Millionen deutschen Unternehmen zwei Mal wöchentlich auf die Nennung des Wortes „Corona“ und entsprechender Synonyme. Anschließend werden die identifizierten Textstellen mittels KI-Textanalysemodellen ausgewertet, um den Kontext der Nennung zu erfassen. Dieses Vorgehen erlaubt es, die Auswirkungen der Corona-Pandemie auf Unternehmen in Deutschland zeitnah und umfassend abzuschätzen. Seit dem ersten Abzug vom 19.03.2020 konnten wir so eine Erhöhung der betroffenen Unternehmen um circa einen Prozentpunkt pro Woche beobachten (von 10% auf 14% am 15.04.2020). Wir stellen außerdem deutliche sektorale und alters- sowie größenbezogene Unterschiede fest. Ältere und insbesondere größere Unternehmen berichten deutlich häufiger über die Pandemie. Welchen Einfluss hier die gegebenenfalls größeren Digitalkapazitäten (z.B. dezidierte Medienabteilung) und eine folglich aktuellere Webseite bei größeren Unternehmen haben, wird noch untersucht. Regional beobachten wir sowohl eine ungleiche Verteilung der aktuellen Fallzahlen (betroffene Unternehmen) auf Kreisebene, als auch ein ungleiches Wachstum. Hierbei ist ein West-Ost-Gefälle mit höheren Fallzahlen im Westen Deutschlands und ein stärkeres Wachstum der Fallzahlen im Süd-Westen der Bundesrepublik zu beobachten. Auch weisen Stadtkreise insgesamt höhere Werte auf als Landkreise. Welchen Einfluss die regionale Zusammensetzung der Unternehmenspopulation auf dieses räumliche Muster hat ist Gegenstand aktueller Analysen. Außerdem deuten unsere Versuche mit fortschrittlichen, KI-basierten Textanalysemodellen (istari.ai webAI Engine) darauf hin, dass Unternehmen auf ihren Webseiten über ihre spezifischen Reaktionen auf die Corona-Pandemie berichten. So können wir aufzeigen, dass die gefundenen „Corona“-Referenzen in verschiedene Themenfelder eingeteilt werden können, deren Relevanz nach Branchen und Regionen variieren. Corona-Referenzen mit „Problem“-Kontext (Betriebs- und Ladengeschäftsschließungen, Absagen von Veranstaltungen, Kurzarbeit etc.), „Adaption“-Kontext (Anpassung Geschäftszeiten, neue Hygienevorschriften, Homeoffice etc.) und „Kein Problem“-Kontext (keine Beeinträchtigungen durch die Pandemie) treten regional gehäuft auf

Effect of gluon-exchange pair-currents on the ratio G(E(P))/G(M(P))

The effect of one-gluon-exchange (OGE) pair-currents on the ratio $\mu_p G_E^p/G_M^p$ for the proton is investigated within a nonrelativistic constituent quark model (CQM) starting from $SU(6) \times O(3)$ nucleon wave functions, but with relativistic corrections. We found that the OGE pair-currents are important to reproduce well the ratio $\mu_p G_E^p/G_M^p$. With the assumption that the OGE pair-currents are the driving mechanism for the violation of the scaling law we give a prediction for the ratio $\mu_n G_E^n/G_M^n$ of the neutron.Comment: 5 pages, 4 figure

Assessing variation in maize grain nitrogen concentration and its implications for estimating nitrogen balance in the US North Central region

Accurate estimation of nitrogen (N) balance (a measure of potential N losses) in producer fields requires information on grain N concentration (GNC) to estimate grain-N removal, which is rarely measured by producers. The objectives of this study were to (i) examine the degree to which variation in GNC can affect estimation of grain-N removal, (ii) identify major factors influencing GNC, and (iii) develop a predictive model to estimate GNC, analyzing the uncertainty in predicted grain-N removal at field and regional levels. We compiled GNC data from published literature and unpublished databases using explicit criteria to only include experiments that portray the environments and dominant management practices where maize is grown in the US North Central region, which accounts for one-third of global maize production. We assessed GNC variation using regression tree analysis and evaluated the ability of the resulting model to estimate grain-N removal relative to the current approach using a fixed GNC. Across all site-year-treatment cases, GNC averaged 1.15%, ranging from 0.76 to 1.66%. At any given grain yield, GNC varied substantially and resulted in large variation in estimated grain-N removal and N balance. However, compared with GNC, yield differences explained much more variability in grain-N removal. Our regression tree model accounted for 35% of the variation in GNC, and returned physiologically meaningful associations with mean air temperature and water balance in July (i.e., silking) and August (i.e., grain filling), and with N fertilizer rate. The predictive model has a slight advantage over the typical approach based on a fixed GNC for estimating grain-N removal for individual site-years (root mean square error: 17 versus 21 kg N ha−1, respectively). Estimates of grain-N removal with both approaches were more reliable when aggregated at climate-soil domain level relative to estimates for individual site-years