Respuesta de adultos de Macrodactylus mexicanus (Coleoptera: Melolonthidae) a sustancias químicas incluidas en microcápsulas: modelado y bioensayos

"Los miembros del género Macrodactylus establecen interacciones estrechas con sus plantas hospederas, principalmente para actividades de cópula y alimentación, lo cual puede repercutir positivamente en el crecimiento de algunas de sus partes aéreas y en sentar las bases para la polinización o de forma negativa en aquellas situaciones que se les considera como “insectos plaga”. La mayor parte de las investigaciones se enfocan en esta última faceta, empleando insecticidas sintéticos para el control principalmente de larvas, con resultados contraproducentes como la resistencia por parte de los insectos, alza en el costo de producción agropecuaria, contaminación ambiental y, sobre todo, pérdida de biodiversidad. En el presente proyecto se pretende atender este aspecto a través de simulación biológica y del uso de biopolímeros basados en material vegetal como dispositivos de liberación de AS de M. mexicanus y COVs de Q. grahamii. Con ambos elementos se plantea consolidar a mediano plazo una estrategia sustentable de manejo o conservación para esta especie y otras que forman parte de Melolonthidae"

DIALECTIC OF “PLEASURE AND SUFFERING”: THE RELATIONSHIP OF MASTER’S AND DOCTORAL STUDENTS WITH THEIR ACADEMIC WORK

The work relationship within society shows itself as a fundamental element by means of which man is structured psychologically and may result in pleasure and/or suffering, which is an object of study for the psychodynamics of work. In this field, a gap is noticed in exploring the pleasure-suffering dialectic within the academic scenario regarding the comparison between master’s and doctoral students. This study aims to understand the subjectivity in the pleasure and suffering relationships of administration masters’ and doctoral students with their academic work. For this, focused interviews were carried out and then coded and analyzed qualitatively by means of content analysis. As a result, the masters’ students were observed to point at the feeling of displeasure as the source of suffering and at professional growth as the source of pleasure. Doctoral students, in turn, also indicated displeasure as the source of suffering, but interpersonal relationships at work stood out as the source of pleasure

High anti-SARS-CoV-2 antibody seroconversion rates before the second wave in Manaus, Brazil, and the protective effect of social behaviour measures: results from the prospective DETECTCoV-19 cohort

Background: The city of Manaus, Brazil, has seen two collapses of the health system due to the COVID-19 pandemic. We report anti-SARS-CoV-2 nucleocapsid IgG antibody seroconversion rates and associated risk factors in Manaus residents before the second wave of the epidemic in Brazil. Methods: A convenience sample of adult (aged ≥18 years) residents of Manaus was recruited through online and university website advertising into the DETECTCoV-19 study cohort. The current analysis of seroconversion included a subgroup of DETECTCoV-19 participants who had at least two serum sample collections separated by at least 4 weeks between Aug 19 and Oct 2, 2020 (visit 1), and Oct 19 and Nov 27, 2020 (visit 2). Those who reported (or had no data on) having a COVID-19 diagnosis before visit 1, and who were positive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at visit 1 were excluded. Using an in-house ELISA, the reactivity index (RI; calculated as the optical density ratio of the sample to the negative control) for serum anti-SARS-CoV-2 nucleocapsid IgG antibodies was measured at both visits. We calculated the incidence of seroconversion (defined as RI values ≤1·5 at visit 1 and ≥1·5 at visit 2, and a ratio >2 between the visit 2 and visit 1 RI values) during the study period, as well as incidence rate ratios (IRRs) through cluster-corrected and adjusted Poisson regression models to analyse associations between seroconversion and variables related to sociodemographic characteristics, health access, comorbidities, COVID-19 exposure, protective behaviours, and symptoms. Findings: 2496 DETECTCoV-19 cohort participants returned for a follow-up visit between Oct 19 and Nov 27, 2020, of whom 204 reported having COVID-19 before the first visit and 24 had no data regarding previous disease status. 559 participants were seropositive for anti-SARS-CoV-2 nucleocapsid IgG antibodies at baseline. Of the remaining 1709 participants who were seronegative at baseline, 71 did not meet the criteria for seroconversion and were excluded from the analyses. Among the remaining 1638 participants who were seronegative at baseline, 214 showed seroconversion at visit 2. The seroconversion incidence was 13·06% (95% CI 11·52–14·79) overall and 6·78% (5·61–8·10) for symptomatic seroconversion, over a median follow-up period of 57 days (IQR 54–61). 48·1% of seroconversion events were estimated to be asymptomatic. The sample had higher proportions of affluent and higher-educated people than those reported for the Manaus city population. In the fully adjusted and corrected model, risk factors for seroconversion before visit 2 were having a COVID-19 case in the household (IRR 1·49 [95% CI 1·21–1·83]), not wearing a mask during contact with a person with COVID-19 (1·25 [1·09–1·45]), relaxation of physical distancing (1·31 [1·05–1·64]), and having flu-like symptoms (1·79 [1·23–2·59]) or a COVID-19 diagnosis (3·57 [2·27–5·63]) between the first and second visits, whereas working remotely was associated with lower incidence (0·74 [0·56–0·97]). Interpretation: An intense infection transmission period preceded the second wave of COVID-19 in Manaus. Several modifiable behaviours increased the risk of seroconversion, including non-compliance with non-pharmaceutical interventions measures such as not wearing a mask during contact, relaxation of protective measures, and non-remote working. Increased testing in high-transmission areas is needed to provide timely information about ongoing transmission and aid appropriate implementation of transmission mitigation measures. Funding: Ministry of Education, Brazil; Fundação de Amparo à Pesquisa do Estado do Amazonas; Pan American Health Organization (PAHO)/WHO.World Health OrganizationRevisión por pare

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,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

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

Dialética do “prazer e sofrimento”: a relação de mestrandos e doutorandos com seu trabalho acadêmico

The work relationship within society shows itself as a fundamental element by means of which man is structured psychologically and may result in pleasure and/or suffering, which is an object of study for the psychodynamics of work. In this field, a gap is noticed in exploring the pleasure-suffering dialectic within the academic scenario regarding the comparison between master’s and doctoral students. This study aims to understand the subjectivity in the pleasure and suffering relationships of administration masters’ and doctoral students with their academic work. For this, focused interviews were carried out and then coded and analyzed qualitatively by means of content analysis. As a result, the masters’ students were observed to point at the feeling of displeasure as the source of suffering and at professional growth as the source of pleasure. Doctoral students, in turn, also indicated displeasure as the source of suffering, but interpersonal relationships at work stood out as the source of pleasure.A relação de trabalho dentro da sociedade se apresenta como elemento fundamental por meio do qual o homem se estrutura psiquicamente, podendo resultar em prazer e/ou sofrimento, objeto de estudo da psicodinâmica do trabalho. Nesse campo, percebe-se uma lacuna relativa à exploração da dialética prazer-sofrimento no cenário acadêmico quanto à comparação entre mestrandos e doutorandos. Este estudo objetiva compreender a subjetividade da relação de prazer e sofrimento, de mestrandos e doutorandos em administração, com seu trabalho acadêmico. Para isso, realizaram-se entrevistas focalizadas, posteriormente codificadas e analisadas qualitativamente por meio de análise de conteúdo. Como resultados, observou-se que os mestrandos apontaram o sentimento de desprazer como principal fonte de sofrimento e o crescimento profissional como principal fonte de prazer. Os doutorandos, por sua vez, também apontaram o sentimento de desprazer como principal fonte de sofrimento, porém o relacionamento interpessoal no trabalho se destacou como principal fonte de prazer.La relación de trabajo dentro de la sociedad se presenta como un elemento fundamental por el cual el hombre si estructura psíquicamente y puede resultar en el placer y/o sufrimiento, objeto de estudio de la psicodinámica del trabajo. En este campo, si ve una brecha en la exploración de la dialéctica placer-sufrimiento en el ámbito académico en lo que respecta a comparar estudiantes de maestria y de doctorado. Este estudio tiene como objetivo comprender la subjetividad de la relación de sufrimiento y placer de los estudiantes de maestría y de doctorado en administración con su trabajo académico. Para eso, se realizaron entrevistas enfocadas, posteriormente codificadas y analizadas cualitativamente mediante análisis de contenido. Como resultado, se observó que los estudiantes de maestria señalaron la sensación de desagrado como la principal fuente de sufrimiento y el crecimiento profesional como fuente principal de placer. Los estudiantes de doctorado, a su vez, también observaron la sensación de desagrado como la principal fuente de sufrimiento, pero las relaciones interpersonales en el trabajo se destacaron como la principal fuente de placer

Núcleos de Ensino da Unesp: artigos 2011: volume 3: tecnologias da informação e comunicação e material pedagógico

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP