Abstract A new lectin from marine sponge Ircinia strobilina, denominated IsL, was isolated by combination of affinity chromatography in Guar gum matrix followed by size exclusion chromatography. IsL was able to agglutinate native and enzymatically treated rabbit erythrocytes, being inhibited by galactosides, such as α-methyl-D-galactopyranoside, β-methyl-D-galactopyranoside and α-lactose. IsL hemagglutinating activity was stable at neutral to alkaline pH, however the lectin loses its activity at 40° C. The molecular mass determinated by mass spectrometry was 13.655 ± 5 Da. Approximately 40% of the primary structure of IsL was determined by mass spectrometry, but no similarity was observed with any protein. The secondary structure of IsL consists of 28% α-helix, 26% β-sheet, and 46% random region, as determined by dichroism circular. IsL was a calcium-dependent lectin, but no significant variations were observed by circular dichroism when IsL was incubated in presence of calcium and EDTA. IsL was not toxic against Artemia nauplii and did not have antimicrobial activity against bacterial cells. However, the IsL was able to significantly inhibit the biofilm formation of Staphylococcus aureus and Staphylococcus epidermidis.

In this Technical Note we analyze the cumulative curves of deaths attributed to Covid-19 in the 26 Brazilian states and the Federal District until August 21, 2020. Mathematical growth models implemented by the ModInterv Covid-19 application, which can be accessed via internet browser or via a mobile app available at the Google Play Store, were used to investigate at which stage the epidemic is in each of these entities of the Federation. The analysis revealed that almost all states in the Northern and Northeastern regions are in the saturation phase, when the epidemic is relatively under control, while in all Southern states and in most states in the Midwest the epidemic is still accelerating or shows only a slight deceleration. The Southeastern region presents a great diversity of epidemic stages, with each state at a different stage, ranging from acceleration to saturation.

Nesta Nota Técnica nós analisamos as curvas acumuladas de mortes atribuídas à Covid-19 nos 26 estados e Distrito Federal até o dia 21 de agosto de 2020. Foram utilizados modelos matemáticos de crescimento implementados pelo aplicativo ModInterv Covid-19, que pode ser acessado via internet (http://fisica.ufpr.br/modinterv) ou através de aplicativo para celular disponível na Play Store (https://play.google.com/store/apps/details?id=com.tanxe.covid_19), para investigar em qual fase da epidemia cada um dessas unidades da federação se encontra. A análise revelou que quase todos os estados das Regiões Norte e Nordeste encontram-se em uma fase de saturação, quando a epidemia está relativamente sob controle, ao passo que em todos os estados do Sul e a maioria dos estados do Centro-Oeste a epidemia ainda está em aceleração ou apresenta apenas uma leve desaceleração. A Região Sudeste apresenta uma grande diversidade de estágios da epidemia, com cada estado em um estágio diferente, indo de acelerado à saturação.

RESUMO O objetivo deste estudo foi estimar a capacidade geral de combinação (CGC) e a capacidade específica de combinação (CEC) em genótipos de algodão submetidos ao estresse hídrico, baseados em características tecnológicas de fibras. Plantas de algodão foram cultivadas na estação seca, sob regime de irrigação, e sujeitas a 23 dias de supressão de água no início do florescimento. Análises das capacidades geral e específica de combinação foram realizadas com base no modelo dialélico parcial. Significância estatística foi detectada apenas para CGC, em todas as características, com predomínio de efeitos aditivos. O cruzamento entre os genótipos FM-966 e CNPA-5M foi a combinação híbrida mais proeminente, revelando grande potencial para melhoria da qualidade das fibras em ambientes sujeitos ao estresse hídrico, como o semiárido nordestino.

ABSTRACT The objective of this study was to estimate the general combining ability (GCA) and specific combining ability (SCA) of cotton genotypes subjected to water stress, based on fiber quality traits. Irrigated cotton plants were grown in the dry season in the Northeast region of Brazil and subjected to 23 days without irrigation at the beginning of the flowering stage. GCA and SCA analyses were based on the partial diallel model. Significant differences were found for GCA for all traits, with predominance of additive effects. The crossing between the genotypes FM-966 and CNPA-5M was the most promising hybrid combination, showing great potential for improvements in fiber quality in environments subjected to water stress, such as the Semiarid region of the Northeast of Brazil.

In this technical note we analyze the accumulated fatality curves attributed to Covid-19 in the 27 Brazilian state capitals until July 19, 2020. We employed three mathematical growth models to assess at which stage of the epidemic each of these cities is at. These models were implemented in the Modinterv Covid-19 application, developed by the Federal Universities of Paraná, Pernambuco and Sergipe, which can be accessed through the <http://fisica.ufpr.br/modinterv> page. The analysis reveals that only Recife and Belém appear to have reached the saturation phase of the epidemic, when the accumulated fatality curve begins to approach the plateau. Among the other capitals, eight are still in the initial phase of rapid growth and seventeen are in the intermediate phase, when the epidemic curve has already passed through the inflection point but is still relatively far from the plateau.

Nessa nota técnica analisamos as curvas acumuladas de mortes atribuídas à Covid-19 nas 27 capitais brasileiras até o dia 19 de julho de 2020. Empregamos três modelos matemáticos de crescimento para avaliar em que fase da epidemia encontra-se cada uma dessas cidades. Esses modelos  foram implementados  no aplicativo Modinterv Covid-19, desenvolvido pelas Universidades Federais do Paraná, Pernambuco e Sergipe, o qual pode ser acessado através da página http://fisica.ufpr.br/modinterv. A análise revela que apenas Recife e Belém aparentam ter atingido a fase de saturação da epidemia, quando a curva acumulada de morte começa a se aproximar do platô. Entre as demais capitais, oito ainda estão na fase inicial de crescimento rápido e dezessete estão na fase intermediária, quando a curva epidêmica já passou pelo ponto de inflexão mas ainda está relativamente distante do platô.

The Covid-19 pandemic, caused by the new coronavirus (SARS-CoV-2), is one of the gravest public health crises the world has ever faced. In this context, it is important to have effective models to describe the different stages of the epidemic, in order to offer guidance to the competent authorities regarding the adoption of public policies to contain and control the pandemic. In this work, we present a novel method to analyze epidemic curves based on growth models, using as examples the cumulative curves of deaths attributed to Covid-19 for the states of the Northeastern Region of Brazil. Depending on the case, the q-exponential model, the Richards model or the generalized Richards model were used to make the numerical fits of the respective empirical curves. The models used here describe very well the empirical curves of all the Northeastern Brazilian States, thus allowing a more precise diagnosis of the stage of the epidemic in each of the States.  Among them, only the state of Paraíba is still in the early growth phase, when the epidemic curve does not yet have an inflexion point, being in this case better described by the q-exponential model.  The other states were better described either by the Richards model or by its generalized version. The Richards model, in particular, was able to identify with reasonable reliability the emergence of the inflexion point for states that only recently have reached this stage of the epidemic, such as Piauí, Rio Grande do Norte and Sergipe. This model is also able to predict when the inflection is about to occur, as is the case in Bahia. The generalized Richards model, in turn, has proved more appropriate to describe epidemic curves in states that are in a more developed phase of the epidemic, such as Ceará and Pernambuco, when the epidemic curves already show a more consolidated trend of saturation toward the plateau.

A pandemia da Covid-19, causada pelo novo coronavírus (SARS-CoV-2), é uma das maiores crises de saúde pública que o mundo já enfrentou. Nesse contexto, é importante ter modelos eficazes para descrever os diferentes estágios da evolução da epidemia, a fim de orientar as autoridades competentes na adoção de políticas públicas para o enfrentamento e controle da pandemia. No presente trabalho, nós propomos um novo método de análise de curvas epidêmicas com base na seleção criteriosa de modelos de crescimento, tomando como exemplo as curvas acumuladas de óbitos atribuídos à Covid-19 para os estados da região Nordeste do Brasil. A depender do caso, foram utilizados o modelo q-exponencial, o modelo de Richards ou o modelo generalizado de Richards para fazer o ajuste numérico das respectivas curvas empíricas. Verificou-se que os modelos utilizados descrevem muito bem as curvas empíricas de todos os estados do Nordeste, permitindo assim diagnosticar mais precisamente o estágio da epidemia em cada um dos estados. Dentre eles, apenas o estado da Paraíba ainda encontra-se na fase inicial de crescimento, quando a curva epidêmica ainda não apresenta um ponto de inflexão, sendo nesse caso melhor descrita pelo modelo q-exponencial. Os demais estados foram mais bem descritos ou pelo modelo de Richards ou por sua versão generalizada. O modelo de Richards, em particular, foi capaz de identificar com razoável confiabilidade o surgimento do ponto de inflexão para os estados que só recentemente alcançaram esse estágio da epidemia, como foi o caso do Piauí, Rio Grande do Norte e Sergipe. Esse modelo também é capaz de prever quando a inflexão está prestes a acontecer, como é o caso da Bahia. O modelo generalizado de Richards, por sua vez, mostrou-se mais apropriado para descrever curvas epidêmicas de estados que estão em uma fase mais desenvolvida da epidemia, como Ceará e Pernambuco, quando as curvas epidêmicas já apresentam uma tendência mais consolidada de saturação em direção ao platô.

Introduction: The Covid-19 pandemic is one of the biggest public health crises the world has ever faced. In this context, it is important to have effective models to describe the different stages of the epidemic’s evolution in order to guide the authorities in taking appropriate measures to fight the disease. Objective: To present an analysis of epidemic curves of Covid-19 based on phenomenological growth models, with applications to the curves for the cumulative numbers of confirmed cases of infection by the novel coronavirus (Sars-Cov-2) and deaths attributed to the disease (Covid-19) caused by the virus, for the Brazilian cities of Recife and Teresina. Methods: The Richards generalized model and the generalized growth model were used to make the numerical fits of the respective empirical curves. Results: The models used described very well the empirical curves against which they were tested. In particular, the generalized Richards model was able to identify the appearance of the inflexion point in the cumulative curves, which in turn represents the peak of the respective daily curves. A brief discussion is also presented on the relationship between the fitting parameters obtained from the model and the mitigation measures adopted in each of the municipalities considered. Conclusions: The generalized Richards model proved to be very effective in describing epidemic curves of Covid-19 and estimating important epidemiological parameters, such as the time of the peak of the curve for daily cases and deaths, thus allowing a practical and efficient monitoring of the epidemic evolution.

Introdução: A pandemia da Covid-19 é uma das maiores crises de saúde pública que o mundo já enfrentou. Nesse contexto, é importante ter modelos eficazes para descrever os diferentes estágios da evolução da epidemia, a fim de orientar as autoridades competen- tes na adoção de políticas públicas para o enfrentamento da mesma. Objetivo: Apresentar uma análise de curvas epidêmicas com base em modelos fenomenológicos de crescimento, tomando como exemplo as curvas acumuladas de casos confirmados de infecção pelo novo coronavírus (Sars-Cov-2) e de óbitos atribuídos à doença (Covid-19) causada pelo vírus, para as cidades do Recife e Teresina. Métodos: Foram utilizados o modelo generalizado de Richards e o modelo de crescimento generalizado para fazer o ajuste numérico das respectivas curvas empíricas. Resultados: Verificou-se que os modelos utilizados descrevem muito bem as curvas empíricas em que foram testados. Em particular, o modelo generalizado de Richards é capaz de identificar com razoável confiabilidade o surgimento do ponto de infle- xão nas curvas acumuladas, o qual corresponde ao ponto de máximo das respectivas curvas diárias. Apresenta-se ainda uma breve discussão sobre a relação entre os parâmetros obtidos no ajuste do modelo e as medidas de mitigação adotadas para retardar a propagação da Covid-19 em cada um dos municípios considerados. Conclusões: O modelo generalizado de Richards mostrou-se bastante eficaz para descrever curvas epidêmicas da Covid-19 e es- timar parâmetros epidemiológicos importantes, como o pico das curvas de casos e óbitos diários, permitindo assim realizar de modo prático e eficiente o monitoramento da evolução da epidemia.

In this note, we present a statistical analysis of the mortality rates of COVID-19 for several selected European countries. We compare the countries' mortality rates with their respective number of tests as a function of the time since the first death. Our analysis shows that countries that either delayed mass testing, such as Italy, or have not fully adopted it, such as France and the UK, have had much higher mortality rates than Germany, which has adopted a policy of wide and early testing. Conversely, countries that have followed Germany's example, such as Portugal, have so far had comparatively low mortality rates.

In this technical note, we present a brief discussion of the main results reported in our paper “Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies”, MedRxiv/2020/051557 (DOI:10.1101/2020.04.02.20051557). In that paper, we applied the Richards growth model (RGM) to describe the fatality curves of the COVID-19 disease for countries that were, up to April 1, 2020, near the end or in an intermediary phase of the outbreak, such as China, Italy, Spain, and Iran. We also analyzed data from Brazil, which was still in the early growth regime, and so we used an alternative model (the generalized growth model) that is more appropriate for the early stages of the epidemic. We also used the RGM to study the effectiveness of possible intervention strategies and, within this context, we derived an analytic formula for the efficiency of non-pharmaceutical intervention strategies. Our findings show that there is only a narrow window, after the onset of the epidemic, during which effective countermeasures can be taken. Here we present a brief overview of the results obtained in the aforementioned paper, but we use more recent data to update our analysis. For more details, we refer the reader to the original article.

En esta nota técnica presentamos una breve discusión de los principales resultados de nuestro artículo "Modelado de curvas de mortalidad de COVID-19 y la efectividad de las estrategias de intervención", MedRxiv / 2020/051557 (DOI: 10.1101 / 2020.04.02.20051557). En este artículo, aplicamos el modelo de crecimiento de Richards para describir las curvas de mortalidad de COVID-19 para países que estaban, hasta el 4/1/2020, cerca del final o en la fase intermedia de la epidemia, como China, Italia, España e Irán. También analizamos datos de Brasil, aunque todavía estaba en las primeras etapas de la epidemia. Para este caso, utilizamos un modelo alternativo, el modelo de crecimiento generalizado, que es más apropiado para esa fase. También utilizamos el modelo de Richards para estudiar la efectividad de las posibles estrategias de intervención y, en este contexto, derivamos una fórmula analítica para la eficiencia de las estrategias de intervención no farmacológicas. Nuestros resultados muestran que solo hay una ventana estrecha, después de que comienza el brote, durante la cual se pueden tomar intervenciones no farmacológicas efectivas para contener la epidemia. En esta nota, también presentamos algunos resultados originales para las curvas de fatalidad de Italia y Brasil, actualizadas con datos hasta el 08/04/2020, además de una breve descripción general del trabajo mencionado anteriormente. Para más detalles, remitimos al lector al artículo original.

Nesta nota técnica apresentamos uma breve discussão dos principais resultados do nosso artigo “Modelling fatality curves of COVID-19 and the effectiveness of intervention strategies”, MedRxiv/2020/051557 (DOI:10.1101/2020.04.02.20051557). Nesse artigo, aplicamos o modelo de crescimento de Richards para descrever as curvas de fatalidade da COVID-19 para países que estavam, até 01/04/2020, ou perto do fim ou na fase intermediária da epidemia, como a China, Itália, Espanha e Irã. Também analisamos dados do Brasil, embora ainda estivesse na fase inicial da epidemia, mas nesse caso usamos um modelo alternativo—o modelo de crescimento generalizado—que é mais apropriado para essa fase. Utilizamos ainda o modelo de Richards para estudar a eficácia de possíveis estratégias de intervenção e, nesse contexto, derivamos uma fórmula analítica para a eficiência das estratégias de intervenção não farmacológicas. Os nossos resultados mostram que existe apenas uma estreita janela, após o início do surto, durante a qual intervenções efetivas não farmacológicas podem ser tomadas para conter a epidemia. Nesta nota, apresentamos ainda alguns resultados originais para as curvas de fatalidade da Itália e do Brasil, atualizados com dados até 08/04/2020, além de uma breve descrição geral do trabalho acima mencionado. Para mais detalhes, remetemos o leitor para o artigo original.

A Streptomyces sp. (BRA-384) was selected among nine strains of bacteria isolated from the zoanthids Palythoa caribaeorum due to the high cytotoxic activity presented by its EtOAc extract (inhibitory concentration mean (IC50) of 2 ng mL-1) against colon cancer cell line. From the EtOAc extract of BRA-384 three new chemical entities (A6, A7 and A8) and one dextrorotatory chromomycin (A5), a promising class of anticancer compounds, were identified. The cytotoxicity of chromomycins A5 to A8 was tested against five tumor cell lines (HCT 116 (human colon adenocarcinoma), MCF-7 (human breast carcinoma), PC-3M (human metastatic prostate cancer), 501-mel (human metastatic melanoma) and MM200 (metastatic melanoma)). All chromomycins were highly potent showing IC50 values from 0.2 to 133 nM. Chromomycin A5 was consistently the most potent over all tested cells (IC50 values from 0.2 in MM200 to 7.9 nM in PC-3M), inclusive when compared to the standard chemotherapeutic agent doxorubicin, that presented IC50 values ranging from 147 to 568 nM against MM200 and MCF-7, respectively.

Resumo Este estudo investigou a sensibilidade de modelos acoplados oceano-atmosfera do CMIP3 e do CMIP5 para o período de 1979-1999 em simular a magnitude do gradiente meridional de anomalias de Temperaturas da Superfície do Mar (TSM) no Atlântico Tropical. Nos resultados são apresentadas análises comparativas para este gradiente meridional de anomalias de TSM de dois períodos sazonais (verão e outono austrais). Os resultados mostraram a evolução dos modelos em simular as variações das anomalias de TSM desse gradiente do CMIP3 para o CMIP5. Para o CMIP3 os modelos não tiveram um bom desempenho em ambas as estações. Para o CMIP5 o verão apresentou o maior número de modelos com índice de desempenho de Willmott (igual ou acima de mediano ID ≥ 0,6).

Abstract This study investigated the sensitivity models coupled ocean-atmosphere of CMIP3 and CMIP5 for the period of 1979-1999 to simulate the magnitude of the meridional gradient of sea surface temperature anomalies (SST) in Atlantic Tropical. In the results are presented to comparative analyses for this meridional gradient of SST anomalies of two seasonal seasons (summer and autumn autrais). The results showed the evolution of the models in simulating the variations of SST anomalies of this gradient from CMIP3 to CMIP5. For CMIP3 the models did not good perform in both seasons. For the CMIP5 the summer presented the highest number of models with Willmott performance index (equal to or above the median ID ≥ 0.6).

ABSTRACT Croton zehntneri Pax & K. Hoffm., Euphorbiaceae, or “canela-de-cunhé” is used in the Northeast Brazil to treat several diseases. Leaves and aerial parts of C. zehntneri are rich in volatile oil of high potential therapeutic. This study aimed to investigate volatile oil systemic toxicity after per oral treatment in rats. Volatile oil characterization (gas chromatography and mass spectrometry) showed 85.7% anethole and 4.8% estragole. Male Wistar rats (116–149 g) were treated with volatile oil (250 mg/kg p.o.) during ten weeks and evaluated for the following parameters: survival; food and water intake; body mass; absolute/relative organs weight; hemogram; plasma biochemical dosage; organs morphology. Volatile oil did not alter animal water and food consumption or the relative/absolute weight of most organs, but animals gained less weight. Volatile oil did not alter function biomarkers of pancreas, kidney, heart or liver, but increased plasma gamma-glutamyltranspeptidase (liver biomarker) and decreased uric acid (kidney biomarker). Although volatile oil had caused discrete morphological alterations in some organs, it did not induce architectural changes in these organs. In conclusion, the sub-acute per oral treatment with volatile oil no longer than ten weeks in rats offers small toxicity at doses below 250 mg/kg.

ABSTRACT Over the years, the species of eucalyptus has become a multipurpose raw material. In addition, the most relevant aspect of the use for various purposes is related to the production of a high quality wood, coming from short duration plantations, which is fundamental to the current demand of the industries. However, its use in civil construction has not yet reached a level of importance, due to the low knowledge of many of its resistance properties and the consequent popular fear in the use of reforestation woods, in particular the Eucalyptus grandis. This research investigated its main mechanical properties, aiming to reinforce its constructive applications in wood structures. For this, two physical properties and fourteen mechanical properties, in two different moisture conditions of the samples were evaluated, according to the norm NBR 7190 (1997). In the first moisture content, the samples were stabilized at 30%, while the second level considered the content of 12%. It was obtained 3580 determinations for the sixteen properties. From the 14 mechanical properties, only 7 had significant increases with the moisture reduction (30% to 12%), consisting of the rupture modulus in the parallel and normal compressions, normal traction and static bending; modulus of elasticity in normal compression and static bending and in shear strength.

Resumo Este estudo investigou com observações e modelagem usando dados diários de Radiação de Onda Longa (ROL) a fase positiva favorável à atividade convectiva associada à variabilidade atmosférica intrassazonal de baixa frequência conhecida com Oscilação de Madden-Julian (OMJ) entre a região do Indico-Pacífico (INDI-PAC) e Nordeste do Brasil (NEB) entre os meses de novembro a maio no período de 1982 a 2013. O modelo usado foi global Ocean-Land-Atmosphere Model - OLAMV3.3, e para as observações foram usados dados observados por satélites gerados pelo Climate Prediction Center/National Ocean Atmospheric Admistration. O objetivo foi verificar o tempo do deslocamento da banda zonal dessas oscilações de convecção desde seu pulso inicial, região INDI-PAC até chegar sobre o NEB. Aplicou-se o método de filtragem de dados conhecido como Filtro de Lanczos na banda de 20-70 dias com a finalidade de eliminar oscilações altas (escalas sinóticas) e baixas freqüências (anuais ou mais). Características espectrais usando análises de Ondeletas mostraram que essas oscilações entre 20-70 dias, no período de novembro a maio, têm um espectro de energia máximo nos dados observados centrado no período de 8-16 pêntadas, final de dezembro e início de abril. O OLAM mostrou um adiantamento desse pico de máxima energia na região INDI-PAC e uma extensão na data de chegada no NEB, significando um atraso, sendo essa data para final de abril e maio.

Abstract This study investigated with observations and modeling using daily data of Long-Wave Radiation (RLW) the favorable phase to the convective activity associated with the low-frequency intrassazonal atmospheric variability known with Madden-Julian Oscillation (MJO) between the Indian Pacific region (INDI-PAC) and Northeastern Brazil (NEB) from November to May period of 1982 to 2013. The model used was the Global Ocean-Land-Atmosphere Model (OLAMV3.3) and observations were used for data generated by satellites by the Climate Prediction Center / National Ocean Atmospheric Admistration. The objective was to verify the time of the zonal band shift of these convective oscillations from its initial pulse, INDI-PAC region until reaching NEB. The data filtering method known as Lanczos Filter was applied in the band of 20-70 days in order to eliminate high oscillations, synoptic scales) and low frequencies (annual or more). Spectral characteristics using Wavelet analyzes showed that these oscillations between 20-70 days, from November to May, have a maximum energy spectrum in the observed data centered in the period of 8-16 pentads, end of December and beginning of April. The OLAM showed an advance of this maximum energy peak in the INDI-PAC region and an extension on the date of arrival in the NEB, meaning a delay, being that date for the end of April and May of this maximum of energy on the NEB.

RESUMO Objetivou-se caracterizar o ambiente térmico da área de seleção e embalagem de um 'packing house' e seus efeitos sobre a qualidade de uvas de mesa produzidas no Vale do São Francisco. O ambiente térmico foi monitorado durante as estações de inverno e verão. Os maiores valores de temperatura do ar (Tar) e menores de umidade relativa do ar (UR) observados no packing house, foram 35 °C e 40,0%, respectivamente, obtidos durante o verão, por 8 h. Após a observação dos dados do ambiente térmico do packing house, foram feitas simulações para avaliar o efeito de condições ambientais ideais de armazenamento e das condições térmicas observadas sobre a qualidade pós-colheita de uvas ‘Thompson’. Neste contexto, uvas foram colhidas e diretamente armazenadas em temperatura e umidade ideais (0 °C e 90%), ou foram expostas previamente a uma temperatura do ar de 35 °C e umidade relativa do ar de 40% por 8 h, simulando o ambiente térmico observado no packing house avaliado, sendo posteriormente armazenada a 0 °C e 90%. A exposição dos frutos ao ambiente observado no packing house resultou em maiores perdas de firmeza e peso de bagas, assim como aumentou os teores de sólidos solúveis e matéria seca do engaço e da baga. De acordo com os resultados obtidos, as condições ambientais observadas no packing house resultam na desidratação das bagas, acelerando a perda de qualidade dos frutos durante o armazenamento.

ABSTRACT The aim of this study was to characterize the thermal environment in the selection and packing areas of a packing house and its effects on the quality of table grapes produced in the São Francisco Valley, Brazil. The thermal environment was monitored during the winter and summer seasons. The highest value of air temperature (Tair) and the lowest relative humidity (RH) observed in the packing house were 35 °C and 40.0%, respectively, obtained during the summer, for 8 h. After observing the thermal environment data of the packing house, simulations were performed to evaluate the effect of the ideal environmental storage conditions and observed thermal conditions on the postharvest quality of “Thompson” grapes. Grapes were harvested and stored directly at the ideal temperature and RH of 0 °C and 90%, respectively, or previously exposed to a temperature of 35 °C and RH of 40% for 8 h, the thermal environment observed in the evaluated packing house, followed by storage at 0 °C and 90% RH. Fruit exposure to high temperature and low RH before the ideal storage conditions resulted in higher loss of berry firmness and weight, along with increased soluble solids and dry matter content of rachis and berry. Based on these results, the environmental conditions observed in the packing house result in berry dehydration, which accelerates the loss of fruit quality during storage.

Five new withanolides, designated as 15-oxo-nicaphysalin B, 6β,7α-dihydroxynicandrenone 10, 24α,25β-dihydroxy-nicandrenone-2 and a mixture of the epimers 17-(1α/1β-methylpropanone)-nicandrenone, in addition to six known others, were isolated from the leaf acetone extract from Nicandra physalodes. The complete structures of the five new withanolides, particularly their relative stereochemistries, were established by extensive spectroscopic analyses, including 1D and 2D nuclear magnetic resonance (NMR) and high-resolution electrospray ionization mass spectrometry (HRESIMS). The main isolated withanolides were evaluated for their antibacterial, antifungal and larvicidal properties, but, except nicandrenone, which showed marginal larvicidal activity, none of them was active.