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Temperature increase may cause some regions in the world to become marginal or unsuitable for Arabica coffee cultivation, due to either heat and/or marked water deficit. The feasibility of sustainable coffee production in these regions promotes good opportunity of income and value addition for rural producers within an expanding market. This study aimed to identify short-stature Arabica coffee cultivars with the best agronomic and qualitative performance in a low-altitude region. The experiment was located in northeastern São Paulo state, Brazil, at 565 m above sea level. During the experimental period (2014–2018) the average annual and November temperatures were 23.0 and 24.3°C, respectively, with an average annual water deficit of 109 mm. The experimental design was randomized blocks, with four replicates, and the treatments consisted of 17 short-stature cultivars. The cultivars Catuaí Amarelo IAC 62, Catuaí Vermelho IAC 99, IAC Ouro Amarelo, Obatã IAC 1669-20, Obatã IAC 4739, Tupi IAC 1699-33, IAC 125 RN and IPR 100 stood out in terms of yield, reaching approximately 50 bags/ha. The appropriate choice of Arabica coffee cultivar in a low-altitude region may result in yield increment of up to 74%. The cultivars Catuaí Vermelho IAC 99, Tupi IAC 1699-33 and IAC 125 RN produced grains with the best quality and highest hundred-grain weight, processing yield and percentage of grains retained on sieve 17. Therefore, it is possible for an Arabica coffee cultivar to have high yield and high grain and beverage quality in a low-altitude region, promoting production alternatives for farmers.
The objective was to evaluate the performance of suckling piglets based on their choice of mammary gland. A completely randomized design was used, considering the position of the mammary glands pair and their respective piglets as experimental unit. The mammary gland position was considered for the treatments, being 1st, 4th and 7th pair. The ration and leftovers were weighed daily to obtain daily feed intake of the sow. On post-natal day (PND) 3 and 21, 80 ml of milk was collected to analyse crude protein, fat, lactose, non-fatty solids, mineral matter and total solids. On PND 3 and 21, the piglets were weighed to determine weight gain and estimate milk consumption. The piglets' longitudinal length and head circumference were measured in the same period and estimated body surface area/mass ratio. Blood samples from the sows and piglets were collected on PND 3 and 21 to analyse total cholesterol, triglycerides, total protein, fractions and glucose. There was an effect of mammary gland position on piglets at PND 21 suckling on the 7th pair, which had a 23.88 cm2/kg greater body surface/mass ratio compared to those who suckled in the 1st pair. In turn, at PND 21, the piglets that suckled in the 1st pair presented higher weight, weight gain and milk consumption (0.685, 0.033 and 0.127 kg, respectively) than those that suckled in the 7th pair. Anterior mammary glands result in better productive performance and better chances of maintaining piglet homeostasis at PND 21.
Instability measurements of an axisymmetric, laminar separation bubble were made over a sharp cone-cylinder-flare with a $12^{\circ }$ flare angle under hypersonic quiet flow. Two distinct instabilities were identified: Mack's second mode (which peaked between 190 and 290 kHz) and the shear-layer instability in the same frequency band as Mack's first mode (observed between 50 and 150 kHz). Both instabilities were measured with surface pressure sensors and were captured with high-speed schlieren. Linear stability analysis results agreed well with these measured instabilities in terms of both peak frequencies and amplification rates. Lower-frequency fluctuations were also noted in the schlieren data. Bicoherence analysis revealed nonlinear phase-locking between the shear-layer and second-mode instabilities. For the first time in axisymmetric, low-disturbance flow, naturally generated intermittent turbulent spots were observed in the reattached boundary layer. These spots appeared to evolve from shear-layer-instability wave packets convecting downstream. This work presents novel experimental evidence of the hypersonic shear-layer instability contributing directly to transition onset for an axisymmetric model.
Fire plays a crucial role in shaping plant communities in South American savannas. However, the impact of biotic interactions on tree communities still needs to be better explored. In this study, we evaluated the influence of tree-on-tree interactions and abiotic conditions on the structure and diversity of woody communities in savannas of Central Brazil. We used plots of 10 × 10 m in three preservation areas of savanna to assess the abundance and composition of juveniles and adults in woody communities associated with two Apocynaceae tree species: Hancornia speciosa, postulated to show negative interactions with the associated tree community, and Himatanthus obovatus, postulated to show positive interactions. Our results revealed that while abiotic factors, represented by the altitude, are more critical in shaping the community of juvenile trees, tree-on-tree interactions have a stronger influence on adult tree populations, driving community dynamics during plant recruitment. Specifically, Hancornia speciosa reduces the abundance of adults, whereas Himatanthus obovatus enhances their relative abundance; both shape the composition of tree communities. Consequently, tree-on-tree interactions create distinct mosaics at various stages of regeneration, contributing to savanna dynamics and conservation.
It is now well established that algorithms are transforming our economy, institutions, social relations and ultimately our society. This paper explores the question – what is the role of law in the algorithmic society? We draw on the law-jobs theory of Karl Llewellyn and on William's Twining refinement of Llewellyn's work through the perspective of a thin functionalism to have a better understanding of what law does in this new context. We highlight the emergence of an algorithmic law, as law performs jobs such as the disposition of trouble-cases, the preventive channelling and reorientation of conduct and expectations, and the allocation of authority in the face of algorithmic systems. We conclude that the law-jobs theory remains relevant to understanding the role of law in the algorithmic society, but it is also challenged by how algorithms redefine who does or should do what law-jobs, and how they are done.
Understanding deviations from typical brain development is a promising approach to comprehend pathophysiology in childhood and adolescence. We investigated if cerebellar volumes different than expected for age and sex could predict psychopathology, executive functions and academic achievement.
Methods
Children and adolescents aged 6–17 years from the Brazilian High-Risk Cohort Study for Mental Conditions had their cerebellar volume estimated using Multiple Automatically Generated Templates from T1-weighted images at baseline (n = 677) and at 3-year follow-up (n = 447). Outcomes were assessed using the Child Behavior Checklist and standardized measures of executive functions and school achievement. Models of typically developing cerebellum were based on a subsample not exposed to risk factors and without mental-health conditions (n = 216). Deviations from this model were constructed for the remaining individuals (n = 461) and standardized variation from age and sex trajectory model was used to predict outcomes in cross-sectional, longitudinal and mediation analyses.
Results
Cerebellar volumes higher than expected for age and sex were associated with lower externalizing specific factor and higher executive functions. In a longitudinal analysis, deviations from typical development at baseline predicted inhibitory control at follow-up, and cerebellar deviation changes from baseline to follow-up predicted changes in reading and writing abilities. The association between deviations in cerebellar volume and academic achievement was mediated by inhibitory control.
Conclusions
Deviations in the cerebellar typical development are associated with outcomes in youth that have long-lasting consequences. This study highlights both the potential of typical developing models and the important role of the cerebellum in mental health, cognition and education.
In this editorial article, we aim to map out the central features of algorithmic regulation and its conceptual basis – seeking to bring together different strands of the literature relating to the topic that have often remained apart. We then reflect on the ways through which algorithmic law could evolve to address the challenges of artificial intelligence in the legal domain, particularly by examining the potential of applying a “prudential” test in order to determine whether automated decision-making systems are suitable to adequately support legal decision-making.
The optimal expansion of a power system with reduced carbon footprint entails dealing with uncertainty about the distribution of the random variables involved in the decision process. Optimisation under ambiguity sets provides a mechanism to suitably deal with such a setting. For two-stage stochastic linear programs, we propose a new model that is between the optimistic and pessimistic paradigms in distributionally robust stochastic optimisation. When using Wasserstein balls as ambiguity sets, the resulting optimisation problem has nonsmooth convex constraints depending on the number of scenarios and a bilinear objective function. We propose a decomposition method along scenarios that converges to a solution, provided a global optimisation solver for bilinear programs with polyhedral feasible sets is available. The solution procedure is applied to a case study on expansion of energy generation that takes into account sustainability goals for 2050 in Europe, under uncertain future market conditions.
Portugal has high fish/seafood consumption, which may have both risks and benefits. This study aims to quantify the net health impact of hypothetical scenarios of fish/seafood consumption in the Portuguese population using a risk–benefit assessment methodology. Consumption data from the National Food, Nutrition and Physical Activity Survey 2015–2016 (n 5811) were used to estimate the mean exposure to methylmercury and EPA + DHA in the current and the alternative scenarios considered. Alternative scenarios (alt) were modelled using probabilistic approaches to reflect substitutions from the current consumption in the type of fish/seafood (alt1: excluding predatory fishes; alt2: including only methylmercury low-level fishes) or in the frequency of weekly fish/seafood consumption (alt3 to alt6: 1, 3, 5 or 7 times a week, replacing fish/seafood meals with meat or others). The overall health impact of these scenarios was quantified using disability-adjusted life years (DALY). In the Portuguese population, about 11 450 DALY could be prevented each year if the fish/seafood consumption increased to a daily basis. However, such a scenario would result in 1398 extra DALY considering the consumption by pregnant women and the respective risk on fetal neurodevelopment. Our findings support a recommendation to increase fish/seafood consumption up to 7 times/week. However, for pregnant women and children, special considerations must be proposed to avoid potential risks on fetal neurodevelopment due to methylmercury exposure.
This article proposes a novel theoretical framework to account for the combined effects of regime type and patterns of executive authority on legislative party unity. We argue that broad presidential legislative powers favour coordination between the president and legislative parties under pure presidentialism, whereas under semi-presidentialism, strong presidents increase the potential for intra-executive conflict, submitting parties to cross-cutting pressures. We expect higher levels of legislative authority to increase party unity under presidentialism but decrease under semi-presidentialism. Moreover, when presidents are endowed with limited legislative authority, semi-presidentialism produces higher levels of party unity than presidentialism, but for sufficiently high levels of legislative authority there should be no difference across regime types. Our analyses of 1,586 pooled observations for 72 democracies from all regions of the world using the V-Dem measure of party cohesion demonstrate that presidential legislative authority, in combination with regime type, is indeed a key predictor of party unity.
The species–area relationship (SAR) has been described as one of the few general patterns in ecology. Although there are many types of SAR, here we are concerned solely with the so-called species accumulation curve (SAC). The theoretical basis of this relationship is not well established. Here, we suggest that extreme value theory, also known as the statistics of extremes, provides a theoretical foundation for, as well as functions to fit, empirical species accumulation curves. Among the several procedures in extreme value theory, the appropriate way to deal with the species accumulation curve is the so-called block minima procedure. We first provide a brief description of this approach and the relevant formulas. We then illustrate the application of the block minima approach using data on tree species from a 50 ha plot in Barro Colorado Island, Panama. We conclude by discussing the extent to which the assumptions under which the extreme types theorem occurs are confirmed by the data. Although we recognize limitations to the present application of extreme value theory, we predict that it will provide fertile ground for future work on the theory of SARs and its application in the fields of ecology, biogeography and conservation.
The paths to digital justice focus on the challenges of contemporary digital societies in reaching automated decision-making processes through software, algorithms, and information technology without loss of its human quality and the guarantees of due process. In this context, this article reflects on the possibilities of establishing judicial robots in substitution for human judges, by examining whether artificial intelligence and algorithms may support judicial decision-making independently and without human supervision. The point of departure for this analysis comes from the experience of criminal justice systems with software for judgment of the possibility of recidivism of criminal defendants. Algorithmic decision-making may improve the public good in support of judicial decision-making, but the analysis of current technology and our standards for due process of law recommends caution on the conclusion that robots may replace human judges and satisfy our expectations for explainability and fairness in adjudication.
Oral nutritional supplements are widely recommended to head-and-neck cancer patients undergoing anti-cancer treatment; however, their effects on the outcomes of most importance to patients are unclear. This study aimed to systematically review the evidence of effect of oral nutritional supplements on mortality, treatment tolerance, quality of life, functional status, body weight and adverse effects. We searched PubMed, Embase, CENTRAL, LILACS, Web of Science, CINAHL, two trial registry platforms, three sources of grey literature and reference lists of included studies. We assessed the risk of bias using the revised Cochrane risk-of-bias tool (RoB 2), and certainty of evidence using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. We used random-effects models with Hartung–Knapp correction for the meta-analyses. We included fifteen trials, of which five were ongoing or unpublished, providing evidence in four comparisons. We found very low to low certainty evidence for the effect of oral nutritional supplements on mortality, treatment tolerance, quality of life, functional status and adverse effects. When compared with nutritional counselling alone, nutritional counselling plus oral nutritional supplements probably increased body weight slightly. We also found adverse events relating to supplements use such as nausea, vomiting and feeling of fullness. Possible increases in mortality, treatment tolerance and quality of life besides a possible decrease in functional status are worthy of further investigation. Future research could attempt to address the clinical importance of a probable increase in body weight. Possible adverse effects of the use of oral nutritional supplements should not be overlooked.
The rocky shores of the north-east Atlantic have been long studied. Our focus is from Gibraltar to Norway plus the Azores and Iceland. Phylogeographic processes shape biogeographic patterns of biodiversity. Long-term and broadscale studies have shown the responses of biota to past climate fluctuations and more recent anthropogenic climate change. Inter- and intra-specific species interactions along sharp local environmental gradients shape distributions and community structure and hence ecosystem functioning. Shifts in domination by fucoids in shelter to barnacles/mussels in exposure are mediated by grazing by patellid limpets. Further south fucoids become increasingly rare, with species disappearing or restricted to estuarine refuges, caused by greater desiccation and grazing pressure. Mesoscale processes influence bottom-up nutrient forcing and larval supply, hence affecting species abundance and distribution, and can be proximate factors setting range edges (e.g., the English Channel, the Iberian Peninsula). Impacts of invasive non-native species are reviewed. Knowledge gaps such as the work on rockpools and host–parasite dynamics are also outlined.
Graphene-based membranes have been investigated as promising candidates for water filtration and gas separation applications. Experimental evidences have shown that graphene oxide can be impermeable to liquids, vapors and gases, while allowing a fast permeation of water molecules. This phenomenon has been attributed to the formation of a network of nano capillaries that allow nearly frictionless water flow while blocking other molecules by steric hindrance effects. It is supposed that water molecules are transported through the percolated two-dimensional channels formed between graphene-based sheets. Although these channels allow fast water permeation in such materials, the flow rates are strongly dependent on how the membranes are fabricated. Also, some fundamental issues regarding the nanoscale mechanisms of water permeation are still not fully understood and their interpretation remains controversial. In this work, we have investigated the dynamics of water permeation through pristine graphene and graphene oxide model membranes that have strong impact on water/alcohol separation. We have carried out fully atomistic classical molecular dynamics simulations of systems composed of multiple layered graphene-based sheets into contact with a pure water reservoir under controlled thermodynamics conditions (e. g., by varying temperature and pressure values). We have systematically analysed how the transport dynamics of the confined nanofluids depend on the interlayer distances and the role of the oxide functional groups. Our results show the water flux is much more effective for graphene than for graphene oxide membranes. These results can be attributed to the H-bonds formation between oxide functional groups and water, which traps the water molecules and precludes ultrafast water transport through the nanochannels.
Protected areas (PAs) have been selected using either subjective or objective criteria applied to an extremely limited subset of biodiversity. Improved availability of species distribution data, better statistical tools to predict species distributions and algorithms to optimize spatial conservation planning allow many impediments to be overcome, particularly on small islands. This study analyses whether 219 species are adequately protected by PAs on Pico Island (the Azores, Portugal), and if they are as efficient as possible, maximizing species protection while minimizing costs. We performed distribution modelling of species’ potential distributions, proposed individual conservation targets (considering the context of each species in the archipelago and their current conservation status) to determine the efficiency of current PAs in meeting such targets and identify alternative or complementary areas relevant for conservation. Results showed that current PAs do not cover all taxa, leaving out important areas for conservation. We demonstrate that by using optimization algorithms it is possible to include most species groups in spatial conservation planning in the Azores with the current resources. With increasing availability of data and methods, this approach could be readily extended to other islands and regions with high endemism levels.
In this work, a high-efficiency radio-frequency energy-harvesting system that takes use of the Portuguese Digital Television signal (750–758 MHz) to obtain DC power is proposed. To be useful, it is optimized to operate at low-power conditions. For the rectifier, three different solutions are presented: a single-series diode, a single-shunt diode, and a voltage-doubler configuration. The efficiency is similar for the three rectifiers – about 54% with a sine-wave excitation and −10.5 dBm of input power. Field measurements with the voltage-doubler have shown 63% efficiency for the same input power.
This study aimed to investigate the meaningfulness that Brazilian and French artists find in their work, considering the historic French cultural influence in the Brazilian creative industry. The specific objective was to cross-culturally validate a model of meaningfulness in work that was developed in French Canada and that includes five latent variables: learning and development, utility of work, quality of working relationships, autonomy, and moral correctness. The present study used a French Canadian measurement instrument that was developed for the health care and management occupations in Quebec. A total of 648 individuals, 280 in France and 368 in Brazil, provided online responses that were then analyzed using Confirmatory Factor Analysis (CFA) and Multigroup Confirmatory Factor Analysis (MGCFA). The five–factor structure of the meaningfulness in work model was found to be similar for the two samples of artists—although this model was a better fit to the data for the Brazilian creative professionals than the data for their French counterparts. The analyses showed that the two groups understand the structure of the meaningfulness factors in a similar manner (configural and metric invariance). The study also showed that conceived as a social and economic core activity, work is present in the context of the arts as well as in the traditional sectors of the economy for which the model was developed.