Understanding the mechanism of cadmium (Cd) accumulation in plants is important to help reduce its potential toxicity to both plants and humans through dietary and environmental exposure. Here, we report on a study to uncover the genetic basis underlying natural variation in Cd accumulation in a world-wide collection of 349 wild collected Arabidopsis thaliana accessions. We identified a 4-fold variation (0.5–2 µg Cd g−1 dry weight) in leaf Cd accumulation when these accessions were grown in a controlled common garden. By combining genome-wide association mapping, linkage mapping in an experimental F2 population, and transgenic complementation, we reveal that HMA3 is the sole major locus responsible for the variation in leaf Cd accumulation we observe in this diverse population of A. thaliana accessions. Analysis of the predicted amino acid sequence of HMA3 from 149 A. thaliana accessions reveals the existence of 10 major natural protein haplotypes. Association of these haplotypes with leaf Cd accumulation and genetics complementation experiments indicate that 5 of these haplotypes are active and 5 are inactive, and that elevated leaf Cd accumulation is associated with the reduced function of HMA3 caused by a nonsense mutation and polymorphisms that change two specific amino acids.
ResumoEste artigo objetiva analisar trabalhos publicados sobre o modelo UTAUT nos anais dos três principais eventos brasileiros da área de Gestão de Tecnologia da Informação (CONTECSI, ENANPAD e ENADI), no período de 2011 a 2015. Pretende contribuir para um maior aprofundamento acerca da compreensão, por meio da teoria, da intenção comportamental no sentido da aceitação e uso de tecnologia da informação (TI), especialmente em um contexto cujo impacto da TI na vida das pessoas é crescente e dinâmico. Foi realizada a indexação dos anais dos três eventos citados, no período proposto, através do software Copernic Desktop Search (versão 5.1.0), realizando, posteriormente, uma filtragem pelo termo "utaut". Os resultados evidenciam que a produção de artigos sobre UTAUT no Brasil nas referidas condições aponta para uma maior utilização nas áreas de educação e comércio, apresentando, ainda, combinação com outras teorias e modelos como forma de atender os objetivos propostos pelos autores. (CONTECSI, ENANPAD and ENADI) Palavras-chave: Adoção de Tecnologia da Informação; UTAUT; produção científica. Abstract This paper aims to analyze published works about the UTAUT model in the annals of the three main Brazilian events in the area of Information Technology Management
Even though social networks can provide free space for discussing ideas, people can also use them to propagate hate speech and, given the amount of written material in such networks, it becomes necessary to rely on automatic methods for identifying this problem. In this work, we set out to verify the use of some classic Machine Learning algorithms for the task of hate speech detection in tweets written in Portuguese, by testing four different models (SVM, MLP, Logistic Regression and Naïve Bayes) with different configurations. Results show that these algorithms produce better results (in terms of micro-averaged F1 score) than the LSTM used for benchmark, being also competitive to other results by the related literature
Oral epithelial dysplasia is a common precancerous lesion type that can be graded as mild, moderate and severe. Although not all oral epithelial dysplasia become cancer over time, this premalignant condition has a significant rate of progressing to cancer and the early treatment has been shown to be considerably more successful. The diagnosis and distinctions between mild, moderate, and severe grades are made by pathologists through a complex and time-consuming process where some cytological features, including nuclear shape, are analysed. The use of computer-aided diagnosis can be applied as a tool to aid and enhance the pathologist decisions. Recently, deep learning based methods are earning more and more attention and have been successfully applied to nuclei segmentation problems in several scenarios. In this paper, we evaluated the impact of different color spaces transformations for automated nuclei segmentation on histological images of oral dysplastic tissues using fully convolutional neural networks (CNN). The CNN were trained using different color spaces from a dataset of tongue images from mice diagnosed with oral epithelial dysplasia. The CIE L*a*b* color space transformation achieved the best averaged accuracy over all analyzed color space configurations (88.2%). The results show that the chrominance information, or the color values, does not play the most significant role for nuclei segmentation purpose on a mice tongue histopathological images dataset.
Introduction. This study investigated changes in blood pressure, heart rate, and double product in patients with Parkinson's disease who participated in aquatic physiotherapy. Methods. A single group research design was applied. overall, 20 sessions of aquatic physiotherapy were implemented, 2 times per week, each lasting for 40 minutes. Heart rate and blood pressure were measured before and after each session. overall, 13 participants in stages 2-4 on the Hoehn and Yahr scale were assessed. Results. Statistically significant differences were observed for the final heart rate (p = 0.001), final double product (p = 0.001), and diastolic blood pressure (p = 0.03). Conclusions. inpatient children showed no positive effects of exercise therapy on cancer-related fatigue. After discharge, the children in exercise therapy attained better physical constitution. Exercise therapy is effective for successful rehabilitation and outpatient reintegration and therefore recommended to reduce cancer-related fatigue.
Natural gas exploitation has been increasing progressively and the pipeline community are facing more challenging demands to ensure safe and reliable operations. In that direction, gas fields in very harsh environments are demanding material and welding procedure selections to comply with a combination of important requirements such as toughness at low temperature, sour environment, very low hardness, manual ultrasonic inspection (for UOE longitudinal weld soundness assurance) and others. Looking forwarding big challenges, Tenaris Confab has been successfully working to continue improving the know how regarding plate to pipe mechanical properties behavior, through steel selection using TMCP plates, welding consumables definition and process control to assure material performance. Considering this scenario, the main challenge is to comply with a combination of toughness and hardness requirements, assuring the material soundness through manual ultrasonic testing after 48h. These combination lead to a careful selection of welding consumable to add the right content of alloy element at the welding pool aiming a specific weld metal chemical composition after dilution. The alloy element selection has to be considered due to the aimed final microstructure at the weld metal, i.e. increases acicular ferrite, in order to achieve the toughness, hardness and manual ultrasonic performance for delayed hydrogen cracking (DHC); it is important to avoid grain boundary ferrite (GBF) nucleation. High wall thickness and high heat input increases residual stress after pipe welding, high residual stress combined to poor microstructure and hydrogen, is a perfect scenario for DHC. To avoid hydrogen cracks, a robust pipe forming process and welding concept is needed to give enough energy to diffuse hydrogen out from weld metal. Quality controls were applied to strict hydrogen content such as welding consumable specifications, evaluating the correlation curve between flux moisture and diffusible hydrogen, flux temperature control and others. As a result of those actions, good mechanical properties were achieved and overcoming the hydrogen cracking performance during automatic and manual ultrasonic testing confirm a robust pipe forming and welding procedure for demanding projects.
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