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One of the most frequent, most expensive and potentially more impactful tasks in crop management is surveying and scouting the fields for problems in crop development. Any biotic / abiotic stress undetected becomes a bigger problem to solve later, with a potentially cascading effect on yield and/or quality and, subsequently, crop value. For annual crops (such as corn, soy, etc.) this can be solved in a cost-effective way with Sentinel data. For permanent crops planted in rows (such as vineyards), the interference from the inter-row makes it much more challenging. Under a contract for the European Space Agency (ESA), Spin.Works has been developing an early anomaly detection system based on fusion of Sentinel-2 and UAV imagery, targeting an update rate of 5 days. The early anomaly detection is applied to vineyards, particularly, for nutrient and water stresses. The early anomaly detection system is integrated into Spin.Works’ MAPP.it platform and its development is being carried out in close cooperation with the internal R&D group of Sogrape Vinhos, Portugal's largest winemaker and a long-standing MAPP.it user.

Spin.Works has been developing its MAPP.it platform and implementing features in close cooperation with the internal R&D group of Sogrape Vinhos, Portugal's largest winemaker and a long-standing MAPP.it user. Borne of such cooperation were a number of tools that are currently available or in late-stage development in MAPP.it: Information register and filtering capabilities for all plots in a property; combining high spatial resolution data from drone with high temporal resolution data from satellite; availability of past years' data enabling inquiry into historical comparisons and trends; simple statistical analysis such as plant distribution perpercentile, dynamic cut-off points for zoning tools or smoothing; identification, counting, and georeferencing of gaps in the vineyards (dead or otherwise lost plants); plot variability measurement; high degree of exportability and interoperability, such as ability to download both raster and vector data or export maps/analysis as pdf files; mobile app enabling in-field data consultation and analysis, as well as georeferenced notes and photos. Using MAPP.it, Sogrape has streamlined its viticulture management, supporting more efficient daily planning from vineyard managers, evaluating the effect of management decisions on annual and monthly time-frames, explaining the underpinning reasons for observed vineyard block variability and scheduling harvests according to plant vigour and maturity levels (combination of MAPP.it and maturity control data). MAPP.it and Sogrape will continue to cooperate in the eco-development of the plat form to improve the features and functionality of the MAPP.it service taking advantage of developments in satellite data availability and computer support edgeomatic analysis, hopefully leading to easy, quick, and accurate methods for estimating water stress risk, carbon balance potentials, and ecosystem management with nature and biodiversity conservation indicators.

Os objetivos deste estudo foram desenvolver e avaliar quantitativamente um modelo de distribuição diamétrica para manejo de povoamentos desbastados de teca (Tectona grandis L. f.). A construção do modelo envolveu dados provenientes de uma rede de parcelas permanentes instaladas em povoamentos de teca, no Estado do Mato Grosso, de propriedade da empresa Floresteca Agroflorestal Ltda. Foram empregadas 239 parcelas permanentes, com área útil de 490,8 m². O primeiro desbaste foi realizado aos 58 meses (idade média) e consistiu na redução sistemática de 36% do número de árvores, em média. A recuperação da distribuição diamétrica foi feita a partir de equações que compreendem relações lineares e não-lineares entre os parâmetros da função Weibull em uma idade futura (beta2 e gama2) e os parâmetros em uma idade atual (beta1 e gama1) e com características do povoamento em uma idade atual e futura. Foram avaliados três sistemas de equações. Para verificar a consistência dos sistemas, foram realizadas análises de compatibilidade de cada sistema e de identidade entre eles. O sistema selecionado garantiu a propriedade de que, quando a idade futura (I2) é igual à idade atual (I1), a distribuição diamétrica na idade futura é igual à distribuição diamétrica na idade atual. Pôde-se concluir que o modelo é compatível e indicado para manejo de povoamentos de Tectona grandis submetidos a desbaste. Concluiu-se também que a predição dos parâmetros da função Weibull, em uma idade futura, em função dos parâmetros observados em uma idade atual, é lógica e gera estimativas consistentes e precisas.

The historical process of deforestation was analyzed to evaluate the regeneration potential of forests from soil seed bank of Porto Rico island (53° 15'W and 22° 45'S) in the upper Paraná river floodplain. Remnant forest fragments were identified and measured and the structure of arboreous vegetation and the composition of the seed bank of the forests and grassland of the island were evaluated. Results showed a fast process of deforestation with critical levels of forest: the remaining twice fragments represented only 5.98% of the total surface of the island. Disturbance by cattle raised on the island continuously degraded the fragments (backward succession), while expansion of areas with pasture favored severe impoverishment of the seed banks flora. The latter factor, soil compaction, and characteristics of seeds of existing arboreous species in the bank suggested that the immediate reestablishment of vegetation was more conditioned to introduction processes of seeds (by rain and ''flood seed'') than by stock of seeds in the bank.

Utilizaram-se 10 vacas lactantes HPC e mestiças H*Z, com 55 dias de parição, peso médio de 540 kg, distribuídas em um delineamento em switch-back com o objetivo de avaliar a produção e a composição do leite, o consumo e a digestibilidade aparente de matéria seca (MS), matéria orgânica (MO), fibra em detergente neutro (FDN), proteína bruta (PB), carboidratos totais (CT) e extrato etéreo (EE), e o pH e a concentração de amônia ruminal. Os animais foram alimentados ad libitum com cinco dietas contendo silagem de milho (SM), feno de alfafa (FA), feno de capim-coastcross (FCC), ½ FA+½ SM, ½ FCC+1/2 SM, na proporção de 60%, da ração total (base de matéria seca). Os consumos dos nutrientes não foram influenciados pelas dietas. As digestibilidades aparentes de MS, PB e FDN foram maiores para as dietas contendo silagem de milho. O pH e a concentração de amônia do líquido ruminal não foram influenciados pelas dietas, porém observou-se resposta quadrática para o tempo de coletas. Registrou-se maior produção de leite para os animais que receberam silagem de milho. Os teores de proteína bruta e gordura do leite não foram influenciados pelas dietas.

Abstract Background Hepcidin acts as the main regulator of iron homeostasis through regulation of intestinal absorption and macrophage release. Hepcidin deficiency causes iron overload whereas its overproduction is associated with anaemia of chronic diseases. The aims of the study were: to identify genetic variants in the hepcidin gene (HAMP) promoter, to asses the associations between the variants found and iron status parameters, and to functionally study the role on HAMP expression of the most frequent variant. Results The sequencing of HAMP promoter from 103 healthy individuals revealed two genetic variants: The c.-153C > T with a frequency of 0.014 for allele T, which is known to reduce hepcidin expression and the c.-582A > G with a 0.218 frequency for allele G. In an additional group of 224 individuals, the c.-582A > G variant genotype showed no association with serum iron, transferrin or ferritin levels. The c.-582G HAMP promoter variant decreased the transcriptional activity by 20% compared to c.-582A variant in cells from the human hepatoma cell line HepG2 when cotransfected with luciferase reporter constructs and plasmid expressing upstream stimulatory factor 1 (USF1) and by 12-14% when cotransfected with plasmid expressing upstream stimulatory factor 2 (USF2). Conclusions The c.-582A > G HAMP promoter variant is not associated with serum iron, transferrin or ferritin levels in the healthy population. The in vitro effect of the c.-582A > G variant resulted in a small reduction of the gene transactivation by allele G compared to allele A. Therefore the effect of the variant on the hepcidin levels in vivo would be likely negligible. Finally, the c.-153C > T variant showed a frequency high enough to be considered when a genetic analysis is done in iron overload patients.

Abstract Background Aromatase (CYP19A1) regulates estrogen biosynthesis. Polymorphisms in CYP19A1 have been related to the pathogenesis of breast cancer (BC). Inhibition of aromatase with letrozole constitutes the best option for treating estrogen-dependent BC in postmenopausal women. We evaluate a series of polymorphisms of CYP19A1 and their effect on response to neoadjuvant letrozole in early BC. Methods We analyzed 95 consecutive postmenopausal women with stage II-III ER/PgR [+] BC treated with neoadjuvant letrozole. Response to treatment was measured by radiology at 4th month by World Health Organization (WHO) criteria. Three polymorphisms of CYP19A1, one in exon 7 (rs700519) and two in the 3'-UTR region (rs10046 and rs4646) were evaluated on DNA obtained from peripheral blood. Results Thirty-five women (36.8%) achieved a radiological response to letrozole. The histopathological and immunohistochemical parameters, including hormonal receptor status, were not associated with the response to letrozole. Only the genetic variants (AC/AA) of the rs4646 polymorphism were associated with poor response to letrozole (p = 0.03). Eighteen patients (18.9%) reported a progression of the disease. Those patients carrying the genetic variants (AC/AA) of rs4646 presented a lower progression-free survival than the patients homozygous for the reference variant (p = 0.0686). This effect was especially significant in the group of elderly patients not operated after letrozole induction (p = 0.009). Conclusions Our study reveals that the rs4646 polymorphism identifies a subgroup of stage II-III ER/PgR [+] BC patients with poor response to neoadjuvant letrozole and poor prognosis. Testing for the rs4646 polymorphism could be a useful tool in order to orientate the treatment in elderly BC patients.

Premature birth poses a challenge to public health, with one in ten babies being born prematurely worldwide. The pathological distension of the uterus can create tension in the uterine wall, triggering contractions that may lead to birth, including premature birth. While there has been an increase in the use of computational models to study pregnancy in recent years, ethical challenges have limited research on the mechanical properties of the uterus during gestation. This study proposes a biomechanical model based on a stretch-driven growth mechanism to describe uterine evolution during the second half of the gestational period. The constitutive model employed is anisotropic, reflecting the presence of fibers in uterine tissue, and it is also considered incompressible. The geometric model representing the uterine body was derived from truncated ellipsoids, subject to intrauterine pressure as loading. Simulation results indicate that the proposed model is effective in reproducing growth patterns documented in the literature, such as simultaneous increases in intrauterine volume and uterine tissue volume, accompanied by a reduction in uterine wall thickness within limits reported in experimental data., Competing Interests: Declaration of competing interest The authors certify that they have NO affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers’ bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

(1) Background: Dysregulated serum amino acids (AA) are known to be associated with obesity and risk of Type 2 Diabetes (T2D) in adults, and recent studies support the same notion in the pubertal age. It is, however, unknown whether childhood overweight may already display alterations of circulating AA. (2) Methods: We used liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS)-targeted metabolomics to determine plasma concentrations of AA and AA-related molecules in 36 children aged 7-12 years with normal weight or overweight. Clinical and anthropometric parameters were measured. (3) Results: Overweight in children is associated with an altered AA profile, with increased branched-chain amino acids (BCAA) and decreased glycine levels, with no clinically manifested metabolic conditions. Moreover, z-BMI was positively and negatively correlated with BCAA and glycine levels, respectively, even after adjustment for age and gender. We also found a correlation between the AA profile and clinical parameters such as lipids profile and glycemia. (4) Conclusions: A pattern of low glycine, and increased BCAA is correlated to z-BMI, total cholesterol, and triglycerides in overweight but otherwise healthy children. Our data suggest that, in childhood overweight, AA disturbances may precede other clinical parameters, thus providing an early indicator for the later development of metabolic disease.

Background and Aims: We investigated cardiac autonomic function in overweight and obese school-age children., Methods and Results: Quantitative cross-sectional study conducted with children (n = 110) of both genders. Children were divided by normal weight (NW; n = 54), overweight (OW; n = 24) and obese (OB; n = 32). Systolic (SBP) and diastolic (DBP) blood pressure and electrocardiograms were recorded and analyzed for heart rate and the heart rate variability (HRV) in time (SDRR, RMSSD, PRR50, SD1 and SD2) and frequency domains (HF, LF and LF/HF). The OB group presented higher SBP (p ≤ 0.01) and DBP (p ≤ 0.01). For HRV, the OB group had a lower PRR50 (p ≤ 0.01) and HF (p ≤ 0.01), associated with higher LF (p ≤ 0.01). Moderate negative correlations were found between the HF, BMI (r = -0.37; p ≤ 0.01) and WC (r = -0.38; p ≤ 0.01). Positive moderate correlation were found between LF, LF/HF and BMI (LF: r = 0.32; p ≤ 0.01; LF/HF: r = 0.31; p ≤ 0.01) and WC (LF: r = 0.34; p ≤ 0.01; LF/HF: = 0.34; p ≤ 0.01). Multiple linear regression showed a positive association between body fat and the SDRR (β: 0.48; CI: 0.2-4.2; p = 0.02). No differences were observed in cardiac electrical activity., Conclusion: Children with obesity but not overweight presented higher blood pressure and cardiac autonomic dysfunction, with sympathetic predominance on the heart rate. This fact was positively correlated with BMI and may be considered an important marker for cardiovascular risk in children., (Copyright © 2022 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

In recent decades, the high incidence of infectious and parasitic diseases has been replaced by a high prevalence of chronic and degenerative diseases. Concomitantly, there have been profound changes in the behavior and eating habits of families around the world, characterizing a "nutritional transition" phenomenon, which refers to a shift in diet in response to modernization, urbanization, or economic development from undernutrition to the excessive consumption of hypercaloric and ultra-processed foods. Protein malnutrition that was a health problem in the first half of the 20th century has now been replaced by high-fat diets, especially diets high in saturated fat, predisposing consumers to overweight and obesity. This panorama points us to the alarming coexistence of both malnutrition and obesity in the same population. In this way, individuals whose mothers were undernourished early in pregnancy and then exposed to postnatal hyperlipidic nutrition have increased risk factors for developing metabolic dysfunction and cardiovascular diseases in adulthood. Thus, our major aim was to review the cardiometabolic effects resulting from postnatal hyperlipidic diets in protein-restricted subjects, as well as to examine the epigenetic repercussions occasioned by the nutritional transition., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Simões-Alves, Arcoverde-Mello, Campos, Wanderley, Leandro, da Costa-Silva and de Oliveira Nogueira Souza.)

Over the last months, mathematical models have been extensively used to help control the COVID-19 pandemic worldwide. Although extremely useful in many tasks, most models have performed poorly in forecasting the pandemic peaks. We investigate this common pitfall by forecasting four countries' pandemic peak: Austria, Germany, Italy, and South Korea. Far from the peaks, our models can forecast the pandemic dynamics 20 days ahead. Nevertheless, when calibrating our models close to the day of the pandemic peak, all forecasts fail. Uncertainty quantification and sensitivity analysis revealed the main obstacle: the misestimation of the transmission rate. Inverse uncertainty quantification has shown that significant changes in transmission rate commonly precede a peak. These changes are a key factor in forecasting the pandemic peak. Long forecasts of the pandemic peak are therefore undermined by the lack of models that can forecast changes in the transmission rate, i.e., how a particular society behaves, changes of mitigation policies, or how society chooses to respond to them. In addition, our studies revealed that even short forecasts of the pandemic peak are challenging. Backward projections have shown us that the correct estimation of any temporal change in the transmission rate is only possible many days ahead. Our results suggest that the distance between a change in the transmission rate and its correct identification in the curve of active infected cases can be as long as 15 days. This is intrinsic to the phenomenon and how it affects epidemic data: a new case is usually only reported after an incubation period followed by a delay associated with the test. In summary, our results suggest the phenomenon itself challenges the task of forecasting the peak of the COVID-19 pandemic when only epidemic data is available. Nevertheless, we show that exciting results can be obtained when using the same models to project different scenarios of reduced transmission rates. Therefore, our results highlight that mathematical modeling can help control COVID-19 pandemic by backward projections that characterize the phenomena' essential features and forward projections when different scenarios and strategies can be tested and used for decision-making., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Reis, Oliveira, Quintela, Campos, Gomes, Rocha, Lobosco and dos Santos.)

Patient-specific computer simulations can be a powerful tool in clinical applications, helping in diagnostics and the development of new treatments. However, its practical use depends on the reliability of the models. The construction of cardiac simulations involves several steps with inherent uncertainties, including model parameters, the generation of personalized geometry and fibre orientation assignment, which are semi-manual processes subject to errors. Thus, it is important to quantify how these uncertainties impact model predictions. The present work performs uncertainty quantification and sensitivity analyses to assess the variability in important quantities of interest (QoI). Clinical quantities are analysed in terms of overall variability and to identify which parameters are the major contributors. The analyses are performed for simulations of the left ventricle function during the entire cardiac cycle. Uncertainties are incorporated in several model parameters, including regional wall thickness, fibre orientation, passive material parameters, active stress and the circulatory model. The results show that the QoI are very sensitive to active stress, wall thickness and fibre direction, where ejection fraction and ventricular torsion are the most impacted outputs. Thus, to improve the precision of models of cardiac mechanics, new methods should be considered to decrease uncertainties associated with geometrical reconstruction, estimation of active stress and of fibre orientation. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.

Computational models of the heart have reached a level of maturity that enables sophisticated patient-specific simulations and hold potential for important applications in diagnosis and therapy planning. However, such clinical use puts strict demands on the reliability and accuracy of the models and requires the sensitivity of the model predictions due to errors and uncertainty in the model inputs to be quantified. The models typically contain a large number of parameters, which are difficult to measure and therefore associated with considerable uncertainty. Additionally, patient-specific geometries are usually constructed by semi-manual processing of medical images and must be assumed to be a potential source of model uncertainty. In this paper, we assess the model accuracy by considering the impact of geometrical uncertainties, which typically occur in image-based computational geometries. An approach based on 17 AHA segments diagram is used to consider uncertainties in wall thickness and also in the material properties and fiber orientation, and we perform a comprehensive uncertainty quantification and sensitivity analysis based on polynomial chaos expansions. The quantities considered include stress, strain and global deformation parameters of the left ventricle. The results indicate that important quantities of interest may be more affected by wall thickness, and highlight the need for accurate geometry reconstructions in patient-specific cardiac mechanics models.

Computational modeling of the heart is a subject of substantial medical and scientific interest, which may contribute to increase the understanding of several phenomena associated with cardiac physiological and pathological states. Modeling the mechanics of the heart have led to considerable insights, but it still represents a complex and a demanding computational problem, especially in a strongly coupled electromechanical setting. Passive cardiac tissue is commonly modeled as hyperelastic and is characterized by quasi-incompressible, orthotropic, and nonlinear material behavior. These factors are known to be very challenging for the numerical solution of the model. The near-incompressibility is known to cause numerical issues such as the well-known locking phenomenon and ill-conditioning of the stiffness matrix. In this work, the augmented Lagrangian method is used to handle the nearly incompressible condition. This approach can potentially improve computational performance by reducing the condition number of the stiffness matrix and thereby improving the convergence of iterative solvers. We also improve the performance of iterative solvers by the use of an algebraic multigrid preconditioner. Numerical results of the augmented Lagrangian method combined with a preconditioned iterative solver for a cardiac mechanics benchmark suite are presented to show its improved performance., (Copyright © 2017 John Wiley & Sons, Ltd.)

The contamination of public squares by zoonotic potential parasites was evaluated at the urban areas in the municipality of Itabuna Brasil. For such, 119 fecal samples of dogs were collected at 10 public squares. After that, these feces samples were transported to the Parasitology Laboratory in the UESC and they were analyzed by Mariano and Carvalho's method. Of the total analized samples, 56.3% show some parasitic evolutive form. Ancylostoma sp. was the most frequently (47.9%), followed by Strongyloides stercortalis (6.7%), Toxocara canis and Trichuris vulpis eggs (4.2%) each, Endolimax nana cysts (2.5%), and Giardia intestinalis and Entamoeba coli cysts (0.8%) each.