365 research outputs found
Insecticida natural para el control de Musca doméstica en base a aceites esenciales y sus componentes
Se estudió la composición de 30 aceites esenciales (AEs), obtenidos por hidrodestilación de plantas usadas como alimentos, condimentos o con fines medicinales. Ellos fueron analizados por cromatografía de gases con detector de espectrometría de masas (GC-MS).
Se investigó la actividad insecticida de cada aceite contra moscas domésticas, (Musca domestica) y se determinó la dosis necesaria para matar el 50% de las moscas (DL50) en 30 minutos.
El AE de Minthostachys verticillata fue el de mayor poder insecticida, seguido en eficacia por el AE de Hedeoma multiflora, Citrus sinensis, Citrus aurantium y Eucalyptus cinerea.
También se determinó la DL50 de 20 terpenos (Ts), componentes mayoritarios de los AEs estudiados. Entre los Ts, (4R)-(+)-pulegona, 1,8 cineol, -terpineno y (4R)(+)-limoneno, resultaron ser los más activos contra M. domestica.
Se seleccionaron los AEs de M. verticillata, C. sinensis y E. cinerea y sus respectivos Ts mayoritarios (4R)-(+)-pulegona, (4R)(+)-limoneno y 1,8-cineol, como los más promisorios para el desarrollo de un fumigante debido a sus bajas dosis letal 50 (DL50).
Se estudió la influencia de la quiralidad en la actividad insecticida de algunos Ts. Los AEs que contenían limoneno y los que contenían pulegona, como componente principal fueron analizados por CG-MS con una columna quiral. En ambos casos los isómeros detectados fueron (4R)(+)-limoneno y (4R)(+)-pulegona.
Se calcularon los tiempos letales 50, (TL50) de los AEs y los Ts mayoritarios, para evaluar su efectividad como insecticida. El menor tiempo lo mostró el AE de M. verticillata, seguida por el AE de H. multiflora y de C. sinensis.
Se realizaron mezclas entre AEs y luego mezclas entre sus Ts mayoritarios, midiendo el sinergismo entre ellas. Los resultados obtenidos fueron satisfactorios en las mezclas de M. verticillata / C. sinensis; E. cinerea / C. sinensis y la mezcla de M. verticillata / E. cinerea.
Se realizaron bioensayos en un sistema abierto con 100 moscas, logrando resultados muy alentadores con una formulación a base de los AEs de M. verticillata y C. sinensis, con la muerte del 75% de individuos, a los 10 minutos de la fumigación.
En un análisis preliminar, los costos de producción de los formulados serían factibles económicamente.Fil: Bertoni, Alberto Oscar. Universidad Católica de Córdoba. Facultad de Ciencias Agropecuarias; Argentin
Educação alimentar do campo na nossa comunidade
Profª Orientadora: Ione Maria AschidaminiMonografia (especialização) - Universidade Federal do Paraná, Setor Litoral, Curso de Especialização em Educação do CampoInclui referênciasResumo: Este trabalho tem por objetivo conhecer a realidade da educação alimentar do campo em nossa comunidade. Foi realizada inicialmente pesquisa bibliográfica e posteriormente pesquisa de campo, sendo apresentada na forma de artigo com relato de experiência. O instrumento de coleta de dados foi a entrevista com agricultores moradores no campo e também outros que haviam deixado o local. Pretendeu-se na presente pesquisa conhecer a importância da educação alimentar trazida do campo para a nossa comunidade. Abordou também sobre a necessidade de se conhecer a cadeia produtiva do alimento, os alimentos que o campo nos fornece e quais as mudanças que ocorreram até os dias de hoj
Insecticida natural para el control de Musca doméstica en base a aceites esenciales y sus componentes
Se estudió la composición de 30 aceites esenciales (AEs), obtenidos por hidrodestilación de plantas usadas como alimentos, condimentos o con fines medicinales. Ellos fueron analizados por cromatografía de gases con detector de espectrometría de masas (GC-MS).
Se investigó la actividad insecticida de cada aceite contra moscas domésticas, (Musca domestica) y se determinó la dosis necesaria para matar el 50% de las moscas (DL50) en 30 minutos.
El AE de Minthostachys verticillata fue el de mayor poder insecticida, seguido en eficacia por el AE de Hedeoma multiflora, Citrus sinensis, Citrus aurantium y Eucalyptus cinerea.
También se determinó la DL50 de 20 terpenos (Ts), componentes mayoritarios de los AEs estudiados. Entre los Ts, (4R)-(+)-pulegona, 1,8 cineol, -terpineno y (4R)(+)-limoneno, resultaron ser los más activos contra M. domestica.
Se seleccionaron los AEs de M. verticillata, C. sinensis y E. cinerea y sus respectivos Ts mayoritarios (4R)-(+)-pulegona, (4R)(+)-limoneno y 1,8-cineol, como los más promisorios para el desarrollo de un fumigante debido a sus bajas dosis letal 50 (DL50).
Se estudió la influencia de la quiralidad en la actividad insecticida de algunos Ts. Los AEs que contenían limoneno y los que contenían pulegona, como componente principal fueron analizados por CG-MS con una columna quiral. En ambos casos los isómeros detectados fueron (4R)(+)-limoneno y (4R)(+)-pulegona.
Se calcularon los tiempos letales 50, (TL50) de los AEs y los Ts mayoritarios, para evaluar su efectividad como insecticida. El menor tiempo lo mostró el AE de M. verticillata, seguida por el AE de H. multiflora y de C. sinensis.
Se realizaron mezclas entre AEs y luego mezclas entre sus Ts mayoritarios, midiendo el sinergismo entre ellas. Los resultados obtenidos fueron satisfactorios en las mezclas de M. verticillata / C. sinensis; E. cinerea / C. sinensis y la mezcla de M. verticillata / E. cinerea.
Se realizaron bioensayos en un sistema abierto con 100 moscas, logrando resultados muy alentadores con una formulación a base de los AEs de M. verticillata y C. sinensis, con la muerte del 75% de individuos, a los 10 minutos de la fumigación.
En un análisis preliminar, los costos de producción de los formulados serían factibles económicamente.Fil: Bertoni, Alberto Oscar. Universidad Católica de Córdoba. Facultad de Ciencias Agropecuarias; Argentin
Grammatical compression: compressed equivalence and other problems
special issue dedicated to the second edition of the conference AutoMathA: from Mathematics to Application
Bio-molecular diagnosis through Random Subspace Ensembles of Learning Machines.
Traditional clinical diagnostic approaches may sometimes fail in detecting tumors (Alizadeh et al.
2001). Several results showed that bio-molecular analysis of malignancies may help to better characterize malignancies (e.g. gene expression profiling). Information for supporting both diagnosis and prognosis of malignancies at bio-molecular level may be obtained from high-throughput biotechnologies (e.g. DNA microarray).
Recent work on unsupervised analysis of complex bio-molecular data (Bertoni and Valentini, 2006)
showed that random projections obeying the Johnson-Lindenstrauss lemma can be used for:
\u2013 Discovering structures in bio-molecular data
\u2013 Validating clustering results
\u2013 Improving clustering results
RS ensembles can improve the accuracy of biomolecular diagnosis characterized by very high
dimensional data. They could be also easily applied to heterogeneous bio-molecular and clinical data. A new promising approach consists in combining state of the art feature (gene) selection methods and RS ensembles. RS ensembles are computationally intensive but
can be easily parallelized using clusters of workstations (e.g. in a MPI framework)
Redox Centers Evolution in Phospho-Olivine Type (LiFe0. 5Mn0. 5 PO4) Nanoplatelets with Uniform Cation Distribution
Accepted Version of the publication: Nano Lett. 2014, 14, 3, 1477–1483. Publication Date: February 24, 2014. https://doi.org/10.1021/nl4046697
© 2014 American Chemical Society.
In phospho-olivine type structures with mixed cations (LiM1M2PO4), the octahedral M1 and M2 sites that dictate the degree of intersites order/disorder play a key role in determining their electrochemical redox potentials. In the case of LiFexMn1−xPO4, for example, in micrometer-sized particles synthesized via hydrothermal route, two separate redox centers corresponding to Fe2+/Fe3+ (3.5 V vs Li/Li+) and Mn2+/Mn3+ (4.1 V vs Li/Li+), due to the collective Mn−O−Fe interactions in the olivine lattice, are commonly observed in the electrochemical measurements. These two redox processes are directly reflected as two distinct peak potentials in cyclic voltammetry (CV) and equivalently as two voltage plateaus in their standard charge/discharge characteristics (in Li ion batteries). On the contrary, we observed a single broad peak in CV from LiFe0.5Mn0.5PO4 platelet-shaped (∼10 nm thick) nanocrystals that we are reporting in this work. Structural and compositional analysis showed that in these nanoplatelets the cations (Fe, Mn) are rather homogeneously distributed in the lattice, which is apparently the reason for a synergetic effect on the redox potentials, in contrast to LiFe0.5Mn0.5PO4 samples obtained via hydrothermal routes. After a typical carbon-coating process in a reducing atmosphere (Ar/H2), these LiFe0.5Mn0.5PO4 nanoplatelets undergo a rearrangement of their cations into Mn-rich and Fe-rich domains. Only after such cation rearrangement (via segregation) in the nanocrystals, the redox processes evolved at two distinct potentials, corresponding to the standard Fe2+/Fe3+ and Mn2+/Mn3+ redox centers. Our experimental findings provide new insight into mixed-cation olivine structures in which the degree of cations mixing in the olivine lattice directly influences the redox potentials, which in turn determine their charge/discharge characteristics
UNIPred: Unbalance-aware Network Integration and Prediction of protein functions
Abstract The proper integration of multiple sources of data and the unbalance between annotated and unannotated proteins represent two of the main issues of the Automated Function Prediction (AFP) problem. Most of supervised and semi-supervised learning algorithms for AFP proposed in literature do not jointly consider these items, with a negative impact on both sensitivity and precision performances, due to the unbalance between annotated and unannotated proteins that characterize the majority of functional classes and to the specific and complementary information content embedded in each available source of data. We propose UNIPred (Unbalance-aware Network Integration and Prediction of protein functions), an algorithm that properly combines different biomolecular networks and predicts protein functions using parametric semi-supervised neural models. The algorithm explicitly takes into account the unbalance between unannotated and annotated proteins both to construct the integrated network and to predict protein annotations for each functional class. Full-genome and ontology-wide experiments with three Eukaryotic model organisms show that the proposed method compares favourably with state-of-the-art learning algorithms for AFP
COVID-19 and Organized Crime: Strategies employed by criminal groups to increase their profits and power in the first months of the pandemic
The COVID-19 pandemic has created new opportunities for organized criminal groups and confronted them with new challenges. Analysis of how these groups have reacted to the pandemic yields better understanding of how they work and enables the devising of more effective counter-strategies. To this end, we identified illustrative cases regarding the provision of illegal governance and infiltration of the legal economy by conducting a systematic content analysis of international media articles and institutional reports published during the first eight months after the outbreak of the pandemic (January to August 2020). These cases were further analyzed in order to cluster the behavior of criminal groups in response to the COVID-19 emergency, and the means by which they tried to exploit the pandemic to strengthen their political and economic power. We found that different governance-type criminal groups proposed themselves as institutions able to mitigate the burdens imposed by the pandemic by providing support to people in need and enforcing social-distancing measures. Further, identified cases did not provide evidence of groups devoted to the provision of illicit services and goods assuming any governance role. In this respect, the available evidence supports previous knowledge about organized crime. Cases of misappropriation of public funds and organized crime infiltration of the legal economy seem less common, at least in the first phase of the pandemic. The wholesale distribution of pharmaceuticals and medicines has been the sector targeted the most
Long-term physical impairments in survivors of COVID-19-associated ARDS compared with classic ARDS: A two-center study
Purpose: This work aimed to compare physical impairment in survivors of classic ARDS compared with COVID-19-associated ARDS (CARDS) survivors. Material and methods: This is a prospective observational cohort study on 248 patients with CARDS and compared them with a historical cohort of 48 patients with classic ARDS. Physical performance was evaluated at 6 and 12 months after ICU discharge, using the Medical Research Council Scale (MRCss), 6-min walk test (6MWT), handgrip dynamometry (HGD), and fatigue severity score (FSS). We also assessed activities of daily living (ADLs) using the Barthel index. Results: At 6 months, patients with classic ARDS had lower HGD (estimated difference [ED]: 11.71 kg, p < 0.001; ED 31.9% of predicted value, p < 0.001), 6MWT distance (ED: 89.11 m, p < 0.001; ED 12.96% of predicted value, p = 0.032), and more frequent significant fatigue (OR 0.35, p = 0.046). At 12 months, patients with classic ARDS had lower HGD (ED: 9.08 kg, p = 0.0014; ED 25.9% of predicted value, p < 0.001) and no difference in terms of 6MWT and fatigue. At 12 months, patients with classic ARDS improved their MRCss (ED 2.50, p = 0.006) and HGD (ED: 4.13 kg, p = 0.002; ED 9.45% of predicted value, p = 0.005), while those with CARDS did not. Most patients in both groups regained independence in ADLs at 6 months. COVID-19 diagnosis was a significant independent predictor of better HGD (p < 0.0001) and 6MWT performance (p = 0.001), and lower prevalence of fatigue (p = 0.018). Conclusions: Both classic ARDS and CARDS survivors experienced long-term impairments in physical functioning, confirming that post-intensive care syndrome remains a major legacy of critical illness. Surprisingly, however, persisting disability was more common in survivors of classic ARDS than in CARDS survivors. In fact, muscle strength measured with HGD was reduced in survivors of classic ARDS compared to CARDS patients at both 6 and 12 months. The 6MWT was reduced and fatigue was more common in classic ARDS compared to CARDS at 6 months but differences were no longer significant at 12 months. Most patients in both groups regained independent function in ADLs at 6 months
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