RESUMO O conteúdo de água no solo é um fator-chave na avaliação nas áreas agrícola e ecológica. O objetivo deste trabalho foi explorar a combinação de informações multisatélites para abordar a questão da baixa precisão na recuperação do conteúdo de água do solo a partir de informações de banda única e fonte única, e estabelecer um modelo para estimativa do conteúdo de água do solo baseado no método multiespectral simulado. Foi realizado um experimento de determinação hiperespectral de amostras de solo (Latossolos) com valores variáveis de teor de água. A reflectância de oito sensores de satélite multiespectral foi remapeada com base nas funções de resposta espectral. Os índices de vegetação (VIs) foram estabelecidos combinando todas as bandas de sensores disponíveis. Os VIs significativos e a reflectância da banda foram extraídos pelos métodos de coeficiente de correlação e análise de importância de dados out-of-bag (OOB), e em seguida modelos lineares e não lineares foram estabelecidos para a estimativa do conteúdo de água no solo. Correlação significativa foi obtida entre refletância multiespectral simulada, VIs e teor de água no solo. Os modelos não lineares apresentaram melhor desempenho que o modelo linear. A combinação do modelo OOB e Random Forest (OOB-RF) obteve a maior acurácia de predição, com R2 calibração e R2 predição de 0,852 e 0,834, respectivamente. De forma geral, verificou-se que o método de modelagem OOB-RF baseado em sensoriamento remoto multiespectral foi viável para estimar o teor de água no solo.

ABSTRACT The soil water content is a key evaluation factor in the agricultural and ecological fields. The objective of this study was to explore the combination of multi-satellite information to address the issue of low accuracy in soil water content retrieval from single-band, single-source information and to establish a model for the estimation of the soil water content based on a simulated multi-spectral method. An experiment involving the hyperspectral determination of soil samples (Oxisols) with varying values of the water content was conducted. The reflectance of eight multi-spectral satellite sensors was resampled based on the spectral response functions. The vegetation indices (VIs) were established by pairing all available sensor bands. The significant VIs and band reflectance were extracted using the correlation coefficient and out-of-bag (OOB) data importance analysis methods, and then linear models and nonlinear models were established for soil water content estimation. A significant correlation was achieved between the simulated multi-spectral reflectance, VIs, and soil water content. The nonlinear models had a better performance than the linear model. The combined OOB and random forest (OOB-RF) model achieved the highest prediction accuracy, with R2 calibration and R2 prediction values of 0.852 and 0.834, respectively. Overall, it was verified that the OOB-RF modeling method based on multi-spectral remote sensing was feasible for estimating the soil water content.

Abstract: Distributed energy resources (DERs) represent an effective alternative to reduce reliance on centralized electrical infrastructure. This work presents an optimization model using mixed-integer linear programming (MILP) to determine the optimal sizing of DERs integrating photovoltaic generation and battery energy storage, designed to operate both connected to the grid and autonomously. The results indicate that the grid-connected configuration requires 18 solar panels and 7 storage units, with a total cost of 8,830 USD, while the autonomous configuration demands 108 panels and 52 units, with a cost of 58,730 USD. This demonstrates that grid-connected DERs can offer lower investment costs, while autonomous configurations ensure a constant supply, promoting energy self-sufficiency and reducing dependence on the main grid. Moreover, the proposed approach is adaptable to various urban environments, where implementing DERs enables greater energy independence, alleviates the load on centralized infrastructure, and provides a reliable supply despite fluctuations in grid availability.

Resumen: Los recursos energéticos distribuidos (DERs, por sus siglas en inglés) representan una alternativa eficaz para reducir la dependencia de la infraestructura eléctrica centralizada. Este trabajo presenta un modelo de optimización mediante programación lineal entera mixta (MILP, por sus siglas en inglés) para dimensionar de manera óptima los DERs que integran generación fotovoltaica y almacenamiento en baterías, adaptado para operar tanto conectado a la red como en modo autónomo. Los resultados indican que, en la configuración conectada a la red, se requieren 18 paneles solares y 7 unidades de almacenamiento, con un costo de 8,830 USD, mientras que la configuración autónoma demanda 108 paneles y 52 unidades de almacenamiento, con un costo de 58,730 USD. Esto demuestra que los DERs conectados a la red pueden presentar costos de inversión más bajos, mientras que las configuraciones autónomas garantizan un suministro constante, promoviendo la autosuficiencia energética y reduciendo la dependencia de la red principal. Además, el enfoque propuesto es adaptable a distintos entornos urbanos, donde la implementación de DERs permite una mayor independencia energética, aliviando la carga sobre la infraestructura centralizada y proporcionando un suministro confiable frente a variaciones en la disponibilidad de la red.

The rapid and expansive integration of Internet of Things (IoT) environments across various industrial sectors has led to an unprecedented surge in data generation and management. This exponential growth in data underscores the critical necessity for robust data security methodologies that can effectively safeguard the confidentiality and integrity of information without imposing undue computational burdens. In response to this challenge, numerous studies have sought to leverage Attribute-Based Encryption (ABE) as a means to enable fine-grained access control. Among the ABE variants, Ciphertext Policy ABE (CP-ABE) and bilinear pairings have emerged as popular choices to construct security schemes that strike a balance between robust protection and computational efficiency. Despite the advancements achieved through CP-ABE and bilinear pairings, a prevalent concern arises in the utilization of Linear Secret Sharing Scheme (LSSS) access policies. LSSS policies, while providing a flexible and expressive way to define access controls, can significantly impact the execution time of encryption methods. This study recognizes the importance of addressing this challenge and explores the potential of employing a Key Policy Attribute-Based Encryption (KP-ABE) approach. The primary objective is to mitigate the computational overhead associated with encryption methods, thereby enhancing the efficiency of data security measures within IoT environments. Furthermore, this research delves into the incorporation of Elliptic Curve Cryptography (ECC) to generate cryptographic keys. ECC, known for its strong security properties and computational efficiency, is considered a promising approach to bolster data security while concurrently minimizing computational overhead. By integrating KP-ABE with ECC, this study aims to offer a comprehensive solution that ensures robust security measures within the intricate landscape of IoT environments. Through detailed analysis and empirical investigation, the research endeavors to contribute valuable insights to the ongoing discourse on securing IoT data in a manner that aligns with the dual imperatives of security and computational efficiency. OPEN LICENSE: CC BY-NC-ND

The FUTURE project aims to enhance seismic surveying in South African mining by integrating advanced acquisition technologies. In this paper, we detail surface and underground seismic surveys at the South Deep gold mine as part of the project. Surface seismic acquisition used co-located broadband micro-electromechanical sensors, one and three component recorders connected to geophones, distributed acoustic sensing using a straight fibre optic cable, along with a 6 ton broadband seismic vibrator operating with 4-180 Hz linear sweeps. In addition, underground surveys employed a combination of straight, and helically wound fibre optic cables, cabled-based and nodal sensors, along with a 500 kg drophammer mounted on a skid steer bobcat. The surface and underground seismic arrays were time synchronised using a GPS-time transmitter to allow for accurate seismic data recording in a GPS-denied environment. Results show the efficacy of these techniques in acquiring high-resolution seismic data, revealing detailed subsurface geological structures and mineralisation down to 3500 m below ground surface. Surface data revealed clear seismic reflections corresponding to the Black Reef and Ventersdorp Contact Reef. An underground P-wave velocity model exhibits low velocity anomalies that are associated with fracturing, while a P-wave reflection stack section shows significant reflections and a degree of faulting below the tunnel floor that was not observed on the surface reflection seismic data. We highlight the potential of these technologies to enhance safety, efficiency, and sustainability in mining. This study sets a benchmark for future reflection seismic surveys, paving the way for safer, more efficient, deep mineral exploration and extraction practices.

Abstract Research on the viscous behavior of soft soils suggested that the effective stress should be divided into two components. One is related to the solid contacts between the grains, and its variation would be the true cause of deformations and distortions. The other is related to the viscous contacts of the water adsorbed to the grains, which would not cause deformations or distortions, and would be a function of the strain rate. This model is able to explain some phenomena, such as secondary consolidation and the increase in pore pressure after drainage closure. However, a consolidation theory adopting a linear relationship between the viscous component and the strain rate (Newtonian behavior) could not reproduce the secondary consolidation as seen in consolidation tests. In this paper, three theories of radial flow consolidation were developed and solved analytically. In two of them the linear relationship was adopted, while in the third one a non-linear relationship was proposed (non-Newtonian behavior). The solutions showed that the linear relationship is in fact not able to reproduce secondary consolidation, but the non-linear relationship provided much better results and can be a promising tool for future studies.

ABSTRACT Purpose To compare vestibulo-ocular reflex (VOR) gain values, gain symmetry between the semicircular canals (SCCs), and saccadic parameters in patients with a nosological diagnosis of Ménière’s disease (MD) and vestibular migraine (VM). Methods Observational, descriptive, cross-sectional, retrospective study, approved by the Research Ethics Committee, under evaluation report number 4.462.519. The study was based on medical record analysis of individuals who underwent the Video Head Impulse Test (vHIT). The sample included medical records of 33 patients, divided into two groups – G1, 18 patients with a nosological diagnosis of VM; G2, 15 patients with MD. The study collected information on age, sex, nosological diagnosis, symptoms, associated comorbidities, and vHIT results. Student's t-test and the linear regression model statistically analyzed the data. The significance level was set at 0.05 (95%). Results Females predominated (75.76%), with a mean age of 50.18 years. There was a predominance of normal VOR gain in the VM group (44.44%) and vestibular hypofunction in the MD group (40%). There was no significant difference between the groups’ mean gain per SCC, nor between the groups’ right and left SCCs. G1 had a higher percentage of evident saccades and saccadic dispersion. Conclusion Although there was no significant difference in VOR gain in the vHIT between the groups, there was a predominance of vestibular hypofunction in the MD group and normal results in the VM group.

RESUMO Objetivo Comparar os valores de ganho do reflexo vestíbulo-ocular (RVO), simetria de ganho entre os canais semicirculares (CSCs) e parâmetros sacádicos em pacientes com diagnóstico nosológico de doença de Méniere (DM) e migrânea vestibular (MV). Método Estudo observacional, descritivo, transversal e retrospectivo, aprovado pelo Comitê de Ética em Pesquisa, sob parecer: 4.462.519. O estudo foi realizado a partir da análise de prontuários de indivíduos que realizaram o vídeo teste do impulso cefálico (vHIT). Foram incluídos prontuários de 33 pacientes, divididos em dois grupos: G1, 18 pacientes com diagnóstico nosológico de MV, G2, 15 pacientes com diagnóstico de DM. Foram coletadas informações sobre idade, gênero, diagnóstico nosológico, sintomas, comorbidades associadas e resultados do vHIT. Os dados obtidos foram analisados estatisticamente, por meio do Teste t-student e Modelo de regressão linear. Foi adotado o nível de significância de 0,05 (95%). Resultados O sexo prevalente foi o feminino (75,76%), com idade média de 50,18 anos. Observou- se predomínio do ganho do RVO dentro dos padrões de normalidade para o grupo MV (44,44%) e da hipofunção vestibular para o grupo DM (40%). Não houve diferença significativa entre a média de ganho por CSC, dos grupos, nem entre os CSCs direito e esquerdo, dos grupos. Quanto aos parâmetros sacádicos, o G1 apresentou maior percentual de sacadas evidentes e da dispersão sacádica. Conclusão Embora não se tenha encontrado diferença significativa entre o ganho do RVO no vHIT entre os grupos, observou-se predomínio da hipofunção vestibular no grupo DM e de resultados dentro da normalidade no grupo MV.

Abstract This article describes the development and validation of a linear viscoelastic model 2S2P1D for silty sand mixed with 16% asphalt emulsion. Experimental data from creep tests were employed to propose and validate the model. The methodology involved soil collection and characterization, after which it was mixed with asphalt emulsion, and exposed to air for 24 hours, followed by the Superpave rotary compaction of the soil-emulsion mixture. Test samples were then exposed to air until a constant density loss was detected, followed by conducting complex modulus tests at thirty different temperature-frequency pairs. Based on these results and the smooth construction of the master curve of the mixture, it was confirmed that the material studied is thermorheologically simple, and the parameters of the linear 2S2P1D model were defined. After defining the constitutive model, a creep test was conducted on the material at a temperature of 0°C for 7200 seconds. The model exhibited satisfactory adjustments to the creep test results, even in the nonlinearity domain. The differences between the strains predicted by the model and those defined experimentally were considered within an acceptability limit for geotechnical materials, and the introduction of a modulus decrease coefficient of approximately 65% was sufficient to simulate the nonlinearity effect in the 2S2P1D model.

Resumo Este artigo apresenta uma metodologia para análise não linear de estruturas reticuladas de concreto armado submetidas a ações sísmicas e normas brasileiras. Relações constitutivas específicas para concreto e aço são empregadas para levar em conta o carregamento cíclico. O algoritmo implícito de integração no tempo garante as condições de equilíbrio no final de cada intervalo de tempo. Os resultados do modelo são comparados com dados experimentais de uma estrutura ensaiada, confirmando a sua aplicabilidade. Um exemplo adicional avalia uma estrutura típica em Rio Branco, AC, Brasil, usando a norma brasileira ABNT NBR 15421:2023 e outros códigos brasileiros aplicáveis. A metodologia fornece informações sobre o desempenho estrutural durante um terremoto, incluindo históricos de tensões, deformações e deslocamentos nodais. Os resultados indicam que a metodologia é uma opção viável para a avaliação sísmica de edifícios de concreto armado no Brasil.

Abstract This paper presents a methodology for the nonlinear analysis of reinforced concrete beam structures subjected to Brazilian seismic actions and safety standards. Specific constitutive relations for concrete and steel are employed to account for cyclic loading. The implicit time integration algorithm ensures the equilibrium conditions at the end of each time step. Model results are compared with experimental data from a test structure, confirming the model's applicability. An additional example evaluates a typical structure in Rio Branco, AC, Brazil, using the Brazilian standard ABNT NBR 15421:2023 and other applicable Brazilian codes. The methodology provides insights into structural performance during an earthquake, including stress, strain, and nodal displacement histories. The results indicate that the implemented methodology is a viable option for the seismic evaluation of reinforced concrete buildings in Brazil.

The study analysed the perception of organic farming practices among smallholder farmers in Mbombela, Mpumalanga, South Africa. An interview-administered questionnaire collected data from 80 randomly sampled smallholder farmers. The elicited data was descriptively analysed using percentages, averages, and ranks. In contrast, a multiple linear regression model was used to determine the socioeconomic factors that influence smallholder farmers' utilisation of organic farming practices. The findings revealed that although smallholder farmers were aware of organic agricultural methods, adopting organic practices is still yet to be widespread and optimal in the area. This is due to some severe challenges indicated by the respondents, including inadequate government support, the unpredictability of climate change, inadequate access to grants and credit facilities, inadequate collaboration and collective action among farmers, and inadequate access to extension services. Furthermore, the findings of the regression model revealed that formal education and organic farming training attendance were significant socioeconomic factors influencing smallholder farmer's utilisation of organic farming practices. Given the need to scale up the adoption of organic farming practices in the area, it was recommended that increased government support, adequate access to credit facilities and significant improvement and effectiveness of extension services in providing training and encouraging collective action among the smallholder farmers is required.

This study was conducted using the first-lactation records of 1092 Vrindavani crossbred cattle to compare the relative efficiency of an artificial neural network (ANN) versus multiple linear regression for predicting the first-lactation 305-day milk yield (FL305DMY). The two input sets used for predicting FL305DMY in the study were input set-1 : first four monthly test-day milk yields, age at first calving, and peak milk yield; and input set-2: first four monthly milk yields, age at first calving, and peak milk yield. The ANN was trained using a backpropagation algorithm based on Bayesian regularisation, and the algorithm was tested using four sets of training and test data at ratios of 66.67:33.33, 75:25, 80:20, and 90:10. The results revealed that the coefficient of determination showed no regular trend with decreasing the test dataset. Nevertheless, the observed values were highest for the 90:10 ratio of training-test data for both input sets, with the lowest root mean square error. The ANN model outperformed the multiple linear regression model when predicting FL305DMY, with an accuracy of 79.09% for input set-1 and 83.67% for input set-2, with the lowest root mean square error values for both input sets. Therefore, the ANN model can be used as an alternative technique to predict FL305DMY in Vrindavani cows.

O efeito da temperatura ambiente na mortalidade varia entre locais e populações sugerindo a presença de modificadores de efeito dessa associação. O objetivo deste estudo foi analisar a influência de fatores geográficos, urbanos e socioeconômicos no efeito da temperatura ambiente na mortalidade não acidental da população geral e idosa das regiões metropolitanas brasileiras, e a associada às mortalidades circulatória, respiratória e outras causas dos idosos. Os efeitos dessa associação foram estimados para cada grupo nos 42 locais via modelo aditivo generalizado combinado ao modelo não linear de lag distribuído. A seguir foi realizada uma metanálise para estimar os efeitos a nível Brasil e suas regiões. A influência dos modificadores de efeito foi determinada via metarregressão. Os riscos relativos estimados da associação temperatura-mortalidade variaram entre os locais do território brasileiro. Os efeitos do calor na mortalidade não acidental a nível nacional para o grupo Geral e Idoso foram de 1,09 (IC95%: 1,04-1,15) e 1,13 (IC95%: 1,07-1,20), e os do frio foram de 1,26 (IC95%: 1,21-1,32) e 1,30 (IC95%: 1,24-1,36), respectivamente. Observa-se um maior efeito do frio do que do calor em ambos os grupos. Para todas as causas de óbito, os efeitos do calor e do frio foram maiores nas regiões Sudeste e Sul do Brasil. O fator que melhor explicou a heterogeneidade entre os locais foi a amplitude da temperatura média, seguido de latitude, renda e educação. Assim, a implementação de medidas adaptativas para reduzir os efeitos da temperatura ambiente na mortalidade depende do perfil de cada local.

El efecto de la temperatura ambiente sobre la mortalidad varía entre sitios y poblaciones, lo que sugiere la presencia de modificadores del efecto de esta asociación. El objetivo de este estudio fue analizar la influencia de los factores geográficos, urbanos y socioeconómicos en el efecto de la temperatura ambiente sobre la mortalidad no accidental en la población general y anciana de las regiones metropolitanas brasileñas, y la influencia asociada con las causas de mortalidad circulatoria, respiratoria u otra en los ancianos. Los efectos de esta asociación se estimaron para cada grupo en 42 sitios mediante un modelo aditivo generalizado combinado con el modelo no lineal distribuido. A continuación, se realizó un metaanálisis para estimar los efectos a nivel Brasil y sus regiones. La influencia de los modificadores del efecto se determinó mediante metarregresión. Los riesgos relativos estimados de la asociación temperatura-mortalidad variaron entre las ubicaciones en el territorio brasileño. Los efectos del calor sobre la mortalidad no accidental a nivel nacional fueron de 1,09 (IC95%: 1,04-1,15) y de 1,13 (IC95%: 1,07-1,20) para el grupo General y Ancianos, respectivamente. Los efectos del frío fueron 1,26 (IC95%: 1,21-1,32) y 1,30 (IC95%: 1,24-1,36) para el grupo General y Anciano, respectivamente. Hay un mayor efecto del frío que del calor en ambos grupos. Para todas las causas de muerte, los efectos del calor y del frío fueron mayores en las regiones Sudeste y Sur de Brasil. El factor que explicó mejor la heterogeneidad entre los locales fue el rango de temperatura media, seguido de la latitud, los ingresos y el nivel de estudios. Por lo tanto, la implementación de medidas de adaptación para reducir los efectos de la temperatura ambiente sobre la mortalidad depende del perfil de cada lugar.

Ambient temperature effect on mortality varies between places and populations, suggesting the existence of effect modifiers for this association. This study analyzes the influence of geographic, urban, and socioeconomic factors on the ambient temperature effect on non-accidental mortality in the general and older adults population of Brazilian metropolitan areas, and on that associated with circulatory, respiratory, and other mortality in older adults. Effects of this association were estimated for each group in 42 locations using a generalized additive model combined with the nonlinear distributed lag model. A meta-analysis was then performed to estimate the effects at the national and regional levels. Meta-regression determined the influence of effect modifiers. Estimated relative risks of the temperature-mortality association varied between locations in the Brazilian territory. Heat effects on non-accidental mortality at the national level were 1.09 (95%CI: 1.04-1.15) and 1.13 (95%CI: 1.07-1.20) for the General and Older Adult groups, respectively. Cold effects were 1.26 (95%CI: 1.21-1.32) and 1.30 (95%CI: 1.24-1.36) for the General and Older Adult groups, respectively. We observed a greater effect of cold than heat in both groups. For all causes of death, effects of heat and cold were greater in the Southeast and South Brazil. Amplitude of the mean temperature was the factor that best explained the heterogeneity between locations, followed by latitude, income and schooling. Hence, implementing adaptive measures to reduce the ambient temperature effects on mortality depends on the profile of each location.

RESUMO: O uso de métodos não destrutivos e de baixo custo para determinação de área foliar tem ganhado importantes aplicações. Os objetivos da pesquisa foram (i) propor um método não destrutivo para estimar a área foliar da cultura da mamona e (ii) construir equações que estimem com precisão e rapidez a área foliar da espécie. Foram coletadas mil folhas sadias e expandidas de cinco cultivares de mamona (New Zealand Purple, Sipeal, Carmencita, Amarelo de Irecê e IAC-80), sendo coletadas 200 folhas de cada uma. O comprimento máximo, largura máxima e área foliar foram calculados para cada folha. Foi calculado o produto entre comprimento e largura (LW). Foram realizados testes com diferentes modelos de regressão linear e não linear entre área foliar e dimensões lineares das folhas de cada cultivar. Os modelos utilizados foram linear, linear sem intercepto e potência. Os critérios para escolha dos melhores modelos para estimar a área foliar da mamona foram maior coeficiente de determinação, maior coeficiente de correlação linear de Pearson, menor critério de informação de Akaike, maior índice de concordância de Willmott e menor raiz do erro quadrático médio. As equações que apresentaram melhores critérios para estimativa da área foliar das cultivares de mamona foram aquelas que utilizaram o produto entre comprimento e largura, em comparação às equações que utilizaram apenas uma dimensão foliar. O modelo ŷ = 0,439 × LW pode ser utilizado para estimar com precisão e rapidez a área foliar da mamona por meio de medidas lineares das folhas, utilizando o produto entre comprimento e largura (LW), independente da cultivar escolhida. RESUMO aplicações i (i ii (ii espécie New Purple Sipeal Carmencita IAC80, IAC80 IAC 80 , IAC-80) 20 máximo folha LW. . (LW) potência Pearson Akaike médio 0439 0 439 0,43 LW, escolhida IAC8 8 IAC-80 2 (LW 043 43 0,4 IAC-8 04 4 0, IAC-

ABSTRACT: Using non-destructive and low-cost methods to determine leaf area has gained important applications. The research objectives were (i) to propose a non-destructive method to estimate the leaf area of castor bean crops and (ii) to build equations that accurately and quickly estimate the leaf area of specie. One thousand healthy and expanded leaves of five castor bean cultivars (New Zealand Purple, Sipeal, Carmencita, Amarelo de Irecê, and IAC-80) were collected, and 200 leaves were collected from each. The maximum length, maximum width, and leaf area were calculated for each leaf. The product between length and width (LW) were calculated. We performed tests with different linear and non-linear regression models between leaf area and linear leaf dimensions of each cultivar. The models used were linear, linear without intercept, and power. The criteria for choosing the best models to estimate the leaf area of castor beans were a higher coefficient of determination, more elevated Pearson’s linear correlation coefficient, lower Akaike information criterion, higher Willmott agreement index, and smallest root mean square error. The equations that presented the best criteria for estimating the leaf area of castor bean cultivars were those that used the product between length and width, compared to equations that used only one leaf dimension. The model ŷ = 0.439 × LW can be used to accurately and quickly estimate the castor bean leaf area through linear measurements of the leaves, using the product between length and width (LW), regardless of the cultivar chosen. ABSTRACT nondestructive non destructive lowcost low cost applications i (i ii (ii specie New Purple Sipeal Carmencita Irecê IAC80 IAC 80 IAC-80 20 (LW nonlinear intercept power determination Pearsons Pearson s criterion index error dimension 0439 0 439 0.43 LW, , chosen IAC8 8 IAC-8 2 043 43 0.4 IAC- 04 4 0.

RESUMO: Existem poucos estudos sobre a extração de compostos bioativos do bagaço de azeitona pelo método de micro-ondas de hidrodifusão e gravidade (MHG). Portanto, este estudo teve como objetivo extrair compostos bioativos do bagaço por MHG utilizando um composto rotacional central (DCCR). O modelo estatístico apresentou diferença significativa para a variável potência (W) nas extrações de compostos fenólicos, apresentando comportamento linear. A análise de regressão linear simples sugere a utilização de 100W de potência para a extração de compostos fenólicos em bagaço de azeitona. Não houve diferenças significativas nas extrações de flavonóides e na capacidade antioxidante dos extratos, em diferentes potências (W) e tempos (min), nos extratos de bagaço de azeitona. RESUMO microondas micro ondas MHG. . (MHG) Portanto DCCR. DCCR (DCCR) W (W min, min , (min) (MHG (DCCR (min

ABSTRACT: There are few studies on the extraction of bioactive compounds from olive pomace by the microwave method of hydro diffusion and gravity (MHG). Therefore, this study extracted bioactive compounds from pomace by MHG using a central rotational compound (DCCR). The statistical model showed a significant difference for the variable potency (W) in the extractions of phenolic compounds, showing linear behavior. Simple linear regression analysis suggested the use of 100W of power for the extraction of phenolic compounds in olive pomace. There were no significant differences in flavonoid extractions and antioxidant capacity of the extracts, at different potencies (W) and times (min), in the olive pomace extracts. ABSTRACT MHG. . (MHG) Therefore DCCR. DCCR (DCCR) W (W behavior extracts min, min , (min) (MHG (DCCR (min

ABSTRACT The purpose of this study was to analyze the influence of attention and skepticism in the evaluation of false market discourse with an environmental appeal (greenwashing). The theoretical support for the research was based on the study of the attention process (understood in terms of pre-attention and attention), as well as the practice of greenwashing and consumer skepticism. The methodological procedure adopted a hypothetical-deductive approach, carried out through two face-to-face experiments (n=129 and n=159) with a 2 factorial design (attention/pre-attention) x 2 (present/absent skepticism), with the measurement of four interest metrics (attribute evaluation, judgment about the practice of greenwashing, emotional reaction to the advertisement, and environmental purchase behavior), added to eye tracking. One-way ANOVA was used for one-dimensional analyzes and general linear model (GLM) ANOVA for multivariate analyses, with Tukey's post hoc test. As a result, it was possible to observe a better evaluation of the practice of greenwashing when pre-attentiveness and the absence of skepticism were combined, which sets up a potential scenario for the influence of this false marketing discourse on consumer behavior. greenwashing. . (greenwashing) understood preattention pre attention, , attention) hypotheticaldeductive hypothetical deductive approach facetoface face n=129 n129 n 129 (n=12 n=159 n159 159 attention/preattention attentionpreattention attention/pre (attention/pre-attention present/absent presentabsent present absent skepticism, skepticism) attribute advertisement behavior, behavior behavior) tracking Oneway One way onedimensional one dimensional GLM (GLM analyses Tukeys Tukey s test result preattentiveness attentiveness combined (greenwashing n=12 n12 12 (n=1 n=15 n15 15 attentionpre n=1 n1 1 (n= n= (n

RESUMO O trabalho teve como objetivo analisar a influência da atenção e do ceticismo na avaliação do falso discurso mercadológico com apelo ambiental (greenwashing). O suporte teórico da pesquisa assentou-se no estudo do processo da atenção (compreendido em termos de pré-atenção e atenção), assim como da prática de greenwashing e o ceticismo do consumidor. O procedimento metodológico adotou uma abordagem hipotético-dedutiva, realizada por meio de dois experimentos presenciais (n=129 e n=159) com desenho fatorial 2 (atenção/pré-atenção) x 2 (ceticismo presente/ausente), com a mensuração de quatro métricas de interesse (avaliação dos atributos, julgamento acerca da prática de greenwashing, reação emocional ao anúncio e comportamento ambiental de compra), somada ao monitoramento ocular (eyetracker). Foram empregadas a ANOVA one-way para as análises unidimensionais e a ANOVA pelo modelo linear geral (GLM) para as análises multivariadas, com o teste post hoc de Tukey. Como resultado, foi possível observar uma melhor avaliação da prática de greenwashing quando da junção da pré-atenção e da ausência do ceticismo, o que configura um cenário de potencialidade da capacidade de influência desse falso discurso mercadológico no comportamento do consumidor. greenwashing. . (greenwashing) assentouse assentou se compreendido préatenção pré atenção, , atenção) consumidor hipotéticodedutiva, hipotéticodedutiva hipotético dedutiva, dedutiva hipotético-dedutiva n=129 n129 n 129 (n=12 n=159 n159 159 atenção/préatenção atençãopréatenção atenção/pré (atenção/pré-atenção presente/ausente, presenteausente presente/ausente presente ausente presente/ausente) atributos compra, compra compra) eyetracker. eyetracker (eyetracker) oneway one way GLM (GLM multivariadas Tukey resultado (greenwashing n=12 n12 12 (n=1 n=15 n15 15 atençãopré (eyetracker n=1 n1 1 (n= n= (n

Citronellyl esters present broad applications in the cosmetic, pharmaceutical, and food industries due to their organoleptic and biological properties. Lipase-catalyzed acylation of citronellol has been a suitable way to obtain these natural esters on a high scale. This work describes the lipase-catalyzed acylation of citronellol through esterification and transesterification with linear acylating agents (C3-C18) using Novozym®435 as a biocatalyst. The results show that all esters achieved not less than 91% conversion from an esterification model, showing a good reaction profile. Citronellyl propionate and laurate were selected for study in a transesterification reaction model, and it resulted in a lower reaction time for ester conversions. As an example, we highlight citronellyl propionate production, which approximately 10 g L-1 of the product was obtained after 1.5 h of esterification compared to 2 min by transesterification. The final esters were purified with high purity (≥ 90%) and identified by gas chromatography-mass spectrometry (GC-MS), and their structures were elucidated by 1H and 13C nuclear magnetic resonance (NMR). Enzyme recycling was evaluated and Novozym®435 was able to be applied for at least 20 cycles. Results demonstrated the efficiency of acylation reactions catalyzed by this enzyme and showed the potential of the methodology for the production and purification of flavor esters. cosmetic pharmaceutical properties Lipasecatalyzed Lipase scale lipasecatalyzed lipase C3C18 CC C3 C18 C (C3-C18 Novozym435 Novozym 435 Novozym®43 biocatalyst 91 model profile conversions example 1 L1 L L- 15 5 1. ≥ ( 90% 90 chromatographymass chromatography mass GCMS, GCMS GC MS , (GC-MS) H NMR. NMR . (NMR) cycles C3C1 C1 (C3-C1 Novozym43 43 Novozym®4 9 (GC-MS (NMR C3C (C3-C Novozym4 4 Novozym®