O pastejo de bovinos em pastagem natural compacta moderadamente o solo sem afetar o desenvolvimento das plantas.

O objetivo do trabalho foi avaliar efeito do bovino, sob diferentes alturas de pré pastejo de uma pastagem natural, na qualidade estrutural de um Cambissolo Húmico. O trabalho foi realizado no ano de 2018 em Lages/SC. Os tratamentos consistiram em diferentes alturas de pré pastejo de uma pastagem natural com predomínio de Andropogon lateralis Nees, de 12, 20, 28 e 36 cm, em um sistema de pastejo rotacionado com 40 % de severidade. Adjunto ao protocolo foi mantida uma área de exclusão ao pastejo. Avaliamos a qualidade estrutural do solo ao cessarem os pastejos da temporada de 2018. Não houve alteração da estrutura do solo nas regiões de touceira e entre touceira do capim caninha entre as alturas de pré pastejo, mas todos os tratamentos pastejados aumentaram o grau de compactação na região de entre touceira na superfície do solo (0-5 cm) para a faixa de 80 a 90%, considerada ótima para as plantas, comparativamente à área de exclusão, que apresentou um grau de compactação de 78%. O pastejo ocasionou uma compactação moderada na superfície do solo que não compromete os processos do solo e o crescimento e desenvolvimento das plantas

PU.1 controls fibroblast polarization and tissue fibrosis

Fibroblasts are polymorphic cells with pleiotropic roles in organ morphogenesis, tissue homeostasis and immune responses. In fibrotic diseases, fibroblasts synthesize abundant amounts of extracellular matrix, which induces scarring and organ failure. By contrast, a hallmark feature of fibroblasts in arthritis is degradation of the extracellular matrix because of the release of metalloproteinases and degrading enzymes, and subsequent tissue destruction. The mechanisms that drive these functionally opposing pro-fibrotic and pro-inflammatory phenotypes of fibroblasts remain unknown. Here we identify the transcription factor PU.1 as an essential regulator of the pro-fibrotic gene expression program. The interplay between transcriptional and post-transcriptional mechanisms that normally control the expression of PU.1 expression is perturbed in various fibrotic diseases, resulting in the upregulation of PU.1, induction of fibrosis-associated gene sets and a phenotypic switch in extracellular matrix-producing pro-fibrotic fibroblasts. By contrast, pharmacological and genetic inactivation of PU.1 disrupts the fibrotic network and enables reprogramming of fibrotic fibroblasts into resting fibroblasts, leading to regression of fibrosis in several organs

Bio-inspired relevant interaction modelling in cognitive crowd management

Cognitive algorithms, integrated in intelligent systems, represent an important innovation in designing interactive smart environments. More in details, Cognitive Systems have important applications in anomaly detection and management in advanced video surveillance. These algorithms mainly address the problem of modelling interactions and behaviours among the main entities in a scene. A bio-inspired structure is here proposed, which is able to encode and synthesize signals, not only for the description of single entities behaviours, but also for modelling cause–effect relationships between user actions and changes in environment configurations. Such models are stored within a memory (Autobiographical Memory) during a learning phase. Here the system operates an effective knowledge transfer from a human operator towards an automatic systems called Cognitive Surveillance Node (CSN), which is part of a complex cognitive JDL-based and bio-inspired architecture. After such a knowledge-transfer phase, learned representations can be used, at different levels, either to support human decisions, by detecting anomalous interaction models and thus compensating for human shortcomings, or, in an automatic decision scenario, to identify anomalous patterns and choose the best strategy to preserve stability of the entire system. Results are presented in a video surveillance scenario , where the CSN can observe two interacting entities consisting in a simulated crowd and a human operator. These can interact within a visual 3D simulator, where crowd behaviour is modelled by means of Social Forces. The way anomalies are detected and consequently handled is demonstrated, on synthetic and also on real video sequences, in both the user-support and automatic modes

Metric Evolution Maps:Multidimensional Attribute-driven Exploration of Software Repositories

Understanding how software entities in a repository evolve over time is challenging, as an entity has many aspects that undergo such changes. We cast this problem in a multidimensional visualization context: First, we capture change by extracting quality metrics from all software entities in all revisions in a software repository, yielding a multidimensional time-dependent dataset. Next, we propose Metric Evolution Maps (MEMs), a new visual approach to create dynamic maps that show the similarity of entities in a revision and changes across revisions. We enrich MEMs with visual cues to show which metrics and metric values are key to formation of similar-entity patterns. Additionally, we show how entities change between revisions, and due to which metrics. We illustrate our approach by exploring changes in two real-world software repositories

Biochemical quality of cowpea beans grown under water-deficit maintained with hydrogel

Investigations related to the effects of the hydrogel use in a water-deficit conditions on the biochemical composition of the harvested products are scarce. The aim of this study was to verify the influence of hydrogel on the biochemical response of cowpea beans produced under water-deficit in southern Tocantins. The experiment was a randomized complete block design with four replications. The treatments were obtained in a 2x5 factorial scheme, being: two sources of hydrogel (Hydroplan-EB HyC and Polim-Agri PP) and five concentrations (0, 5, 10, 15, and 20kg ha-1). After harvesting, the grains of cowpea, BRS Vinagre cultivar, were ground and chemically analyzed. The oil content of the seeds agreed with the reference values. The use of Polim-Agri PP promoted the best levels of amino acids (0.38mg g-1) and proteins (243.22mg g-1) of the grains. The carbohydrate content of them (Ȳ= 81.44mg g-1) was better using Hydroplan-EB HyC, regardless of the concentration applied. The application of 6.28kg ha-1 of Polim-Agri PP provided the highest starch content (842g mg-1). The use of hydrogel improves the biochemical quality of cowpea beans produced under water deficit in southern Tocantins

Are we ready for sustainable cookery? Comparing current (and future) cooking and time use practices in UK, US and Australia

Cooking practices play a pivotal role in a healthy diet and lifestyle. Cooking is intertwined with dietary choices. To achieve a sustainable food system, we need to change how we cook and prepare food, along with the time we use to prepare and cook food. Cooking practices involve a variety of parameters such as cooking times, method of cooking (e.g. boiling, baking, steaming) and type of appliances (e.g. electric hobs, gas ovens, microwaves), which all influence the nutrition content and energy density of food and result in varying amounts of emitted greenhouse gases. Behavioural cooking choices are driven by factors such as convenience, taste, health and lifestyle and shape certain eating habits, but are also influenced by tradition and transfer of knowledge. This article presents the findings of three pilot surveys deployed in the United Kingdom, United States and Australia in 2019 (n = 385+ for each survey). These surveys asked about cooking and preparation time, methods and equipment for 30 common foods. Though based around similar food cultures, we find differences in cooking practices among the different countries’ populations. We then examine how food choices and cooking practices need to change differently in each country to be in line with current guidance on healthy, sustainable eating such as the guidelines provided by the EAT-Lancet report

Clinical presentation, histological findings, and prognosis in female dogs with mixed mammary neoplasms

ABSTRACT The aim of this study was to describe the clinical and morphological characteristics of mixed mammary neoplasms and verify what characteristics affect the prognosis of female dogs with carcinomas in mixed tumors and carcinosarcomas. This was a retrospective study of 67 female dogs that underwent mastectomies and were diagnosed with benign mixed tumors (n=13), carcinomas in mixed tumors (n=44) and carcinosarcomas (n=10). Data regarding the clinical and histological aspects of the neoplasms were collected and the relation with specific survival times, and hazard ratios (HR) in 24 months was calculated. In univariate analysis, the diagnosis of carcinosarcoma (HR 8.26, p=0.006), carcinomatous areas with micropapillary or solid patterns (HR 17.49; p=0. 001) and lymph node metastasis (HR 7.07;p=0.020) were associated with specific survival. In multivariable analysis, only micropapillary or solid pattern (HR=16.34; p=0.007) remained independent factor associated with lower specific survival. Micropapillary or solid carcinomatous patterns were associated with shorter specific survival time (p=0.002) among animals with carcinomas in mixed tumors. Among the carcinosarcomas, lymph node metastasis (p=0.010) was associated with a shorter specific survival time. In conclusion, carcinomas in mixed tumors and carcinosarcomas vary in prognosis depending on the carcinomatous proliferation patterns and spread of the disease

The impact of ultra-processed food on carbon, water and ecological footprints of food in Brazil

Background Ultra-processed foods (UPF) have been associated with major diet-related public health issues that share underlying drivers with climate change. Both challenges require major changes to the food system and so the potential benefits to health and the environment present a double motivation for transformation. Our aim is to assess the impacts of UPF on total greenhouse gas emissions (GHGE), water and ecological footprints in Brazil food purchases. Methods We have used data from 4 Brazilian Household Budget Surveys (1987, 1996, 2003, 2009). Each food item was classified into NOVA food groups (unprocessed/minimally processed, culinary ingredients, processed and ultra-processed). The information was linked to nutrition and footprint data. Purchases were converted into grams per capita per day to estimate total energy (kcal), percentage of energy from UPF, as well as total GHGE, water and ecological footprints. We performed linear regression to calculate year-adjusted means of footprints per 1000 Kcal by year-specific quintiles of UPF participation in the total energy. The data were analysed in R v.3.6.1 and STATA SE 14.1. Results The mean UPF participation in total energy varied from 13% (SD 2.4) in the 1st UPF quintile to 29% (SD 5.1) in the 5th quintile. The footprints increased linearly across quintiles: the mean g CO2eq varied from 1312 in the 1st to 1721 in the 5th UPF quintile (p-trend<0.001); the mean litres of water varied from 1420 in the 1st to 1830 in the 5th quintile (p-trend<0.001); the mean m2 varied from 9.4 in the 1st to 12.3 in the 5th quintile (p < 0.001). Conclusions The environmental impacts were higher for Brazilian diets with a larger fraction of energy from UPF. Specifically, low UPF diets seem to have lower GHGE, water and ecological footprints. Our findings offer new motivators for dietary change to simultaneously healthier and more sustainable eating patterns and will be of relevance to consumers and policymakers. Key messages Diets high in UPF cause more climate impact than diets with lower levels of UPF. Healthy and sustainable dietary patterns should be low in ultra-processed foods

The environmental impact of beef and ultra-processed food consumption in Brazil

Objective: This study evaluated the independent and combined environmental impacts of the consumption of beef and ultra-processed foods in Brazil. Design: Cross-sectional study. Setting: Brazil. Participants: We used food purchases data from a national household budget survey conducted between July 2017 and July 2018, representing all Brazilian households. Food purchases were converted into energy, carbon footprints, and water footprints. Multiple linear regression models were used to assess the association between quintiles of beef and ultra-processed foods in total energy purchases and the environmental footprints, controlling for sociodemographic variables. Results: Both beef and ultra-processed foods had a significant linear association with carbon and water footprints (p < 0.01) in crude and adjusted models. In the crude upper quintile of beef purchases, carbon and water footprints were 47.7% and 30.8% higher, respectively, compared to the lower quintile. The upper quintile of ultra-processed food purchases showed carbon and water footprints 14.4% and 22.8% higher, respectively, than the lower quintile. The greatest reduction in environmental footprints would occur when both beef and ultra-processed food purchases are decreased, resulting in a 21.1% reduction in carbon footprint and a 20.0% reduction in water footprint. Conclusions: Although the environmental footprints associated with beef consumption are higher, dietary patterns with lower consumption of beef and ultra-processed foods combined showed the greatest reduction in carbon and water footprints in Brazil. The high consumption of beef and ultra-processed foods is harmful to human health, as well as to the environment, thus their reduction is beneficial to both