Huantong Lv, Xianmin Li, Zaichao Jiang, Long Zhang, Lixin Xiao, Jian Wu, Yan Liang, Bo Liang, Meng Zhang, Rong Li, Fang Li, Sherman Yang, Peter van Baaren, Thomas Heesom и Hongping Xiao рассуждают о том, как можно решать проблемы статики и шума в условиях горного рельефа, осложнённого нарушениями типа надвигов и взбросов, при сборе данных с высокой плотностью наблюдений и применении точечных источников и приёмников, получая при этом изображения высокого качества.
Reforzando nuestro plan de negocios, vamos a detallar las estrategias esenciales para el lanzamiento y crecimiento de nuestra plataforma digital, SugarCare, destinada a conectar a cuidadores de adultos mayores con las familias que requieren estos servicios en Lima Metropolitana. Utilizando herramientas estratégicas como la matriz ANSOFF, el análisis FODA cruzado, y otras matrices de estrategias competitivas, vamos a poder escoger las estrategias más idóneas para asegurar el éxito de nuestra empresa. Asimismo, fue crucial mediante este plan el desarrollar estrategias de marketing tanto tradicionales como digitales para diferenciar nuestra plataforma y posicionarnos tanto en la mente del consumidor como en el mercado. Estas estrategias incluyen diferentes tipos de marketing, como el marketing de contenidos hasta llegar al de redes sociales, y más, con el objetivo de captar y retener usuarios tanto cuidadores como familias. En el área de operaciones, hemos querido hacer un proyecto innovador contando con el plan de ejecución y seguimiento que garantiza una operación proactiva y de alta calidad. Esto incluye la gestión de recursos humanos así como el control de calidad, poder otorgar el soporte correspondiente al cliente y gestión de inventarios. En el área de recursos humanos hubieron muchas ideas creativas, entre ellas están las estrategias para atraer, seleccionar o también retener al mejor talento calificado. Nuestra gestión del talento incluye planificación de la plantilla, reclutamiento y selección, desarrollo y retención del talento, y gestión del desempeño. En aspectos legales, cumplimos con todos los requisitos legales y hemos establecido un cronograma de implementación para asegurar que nuestras operaciones se realicen dentro del marco legal vigente. Esto incluye aspectos societarios, tributarios y laborales...
In order to accurately identify the performance status of mobile devices and finely adjust the user experience, a real-time performance perception evaluation method based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) combined with entropy weighting method and time series model construction was studied. After collecting the performance characteristics of various mobile devices, the device performance profile was fitted by using PCA (principal component analysis) dimensionality reduction and feature engineering methods such as descriptive time series analysis. The ability of performance features and profiles to describe the real-time performance status of devices was understood and studied by applying the TOPSIS method and multi-level weighting processing. A time series model was constructed for the feature set under objective weighting, and multiple sensitivity (real-time, short-term, long-term) performance status perception results were provided to obtain real-time performance evaluation data and long-term stable performance prediction data. Finally, by configuring dynamic AB experiments and overlaying fine-grained power reduction strategies, the usability of the method was verified, and the accuracy of device performance status identification and prediction was compared with the performance of the profile features including dimensionality reduction time series modeling, TOPSIS method and entropy weighting method, subjective weighting, HMA method. The results show that accurate real-time performance perception results can greatly enhance business value, and this research has application effectiveness and certain forward-looking significance.
Abstract. The aim of this study was to explore the effects of grazing on the formation of the spatial pattern of elm growth in a sparse woodland steppe. We used a point pattern method to analyze the elm trees within different diameter classes in both grazed and fenced plots, which were established in Horqin Sandy Land, northeastern, China. The results showed that, in the grazed plot, the distances where transformation between random and aggregated patterns occurred in class 1 (10 cm ≤ DBH ≤ 15 cm) and class 2 (15 cm ≤ DBH ≤ 20 cm) were 2.27 and 2.37 m, respectively. Meanwhile, in the fenced plot, the distances between random and aggregated patterns that occurred in class 1, class 2 and class 3 (DBH > 20 cm) were 3.13, 3.13 and 7.85 m, respectively. In the fenced plot, in distances larger than 67.72 m there were a negative association between class 1 and class 2, which was also the case between class 2 and class 3 and between class 1 and class 3 for distances greater than 104.09 and 128.54 m, respectively. Meanwhile, negative associations occurred only with distances larger than 29.38 m in the grazed plot. These findings suggest that grazing reduced the competition intensity between elm trees; and therefore, grazing management could be an effective strategy used to regulate the elm population in the degraded sandy land of Northern China.
Plant growth behavior is a function of genetic network architecture. The importance of root microbiome variation driving plant functional traits is increasingly recognized, but the genetic mechanisms governing this variation are less studied. Here, we collect roots and rhizosphere soils from nine Populus species belonging to four sections (Leuce, Aigeiros, Tacamahaca, and Turanga), generate metabolite and transcription data for roots and microbiota data for rhizospheres, and conduct comprehensive multi-omics analyses. We demonstrate that the roots of vigorous Leuce poplar enrich more Pseudomonas, compared with the poorly performing poplar. Moreover, we confirm that Pseudomonas is strongly associated with tricin and apigenin biosynthesis and identify that gene GLABRA3 (GL3) is critical for tricin secretion. The elevated tricin secretion via constitutive transcription of PopGL3 and Chalcone synthase (PopCHS4) can drive Pseudomonas colonization in the rhizosphere and further enhance poplar growth, nitrogen acquisition, and secondary root development in nitrogen-poor soil. This study reveals that plant-metabolite-microbe regulation patterns contribute to the poplar fitness and thoroughly decodes the key regulatory mechanisms of tricin, and provides insights into the interactions of the plant's key metabolites with its transcriptome and rhizosphere microbes.
Drought is a major threat to crop productivity and causes decreased plant growth, poor yields, and crop failure. Nevertheless, the frequency of droughts is expected to increase in the coming decades. The microbial communities associated with crop plants can influence how plants respond to various stresses; hence, microbiome manipulation is fast becoming an effective strategy for improving the stress tolerance of plants. The effect of drought stress on the root microbiome of perennial woody plants is currently poorly understood. Using Populus trees as a model ecosystem, we found that the diversity of the root microbial community decreased during drought treatment and that compositional shifts in microbes during drought stress were driven by the relative abundances of a large number of dominant phyla, including Actinobacteria, Firmicutes, and Proteobacteria. A subset of microbes, including Streptomyces rochei, Bacillus arbutinivorans, B. endophyticus, B. megaterium, Aspergillus terreus, Penicillium raperi, Trichoderma ghanense, Gongronella butleri, and Rhizopus stolonifer, was isolated from the drought-treated poplar rhizosphere soils, which have potentially beneficial to plant fitness. Further controlled inoculation experiments showed that the isolated bacterial and fungal isolates positively impacted plant growth and drought tolerance. Collectively, our results demonstrate the impact of drought on root microbiome structure and provide a novel example of manipulating root microbiomes to improve plant tolerance.
Along with the increase number of users for the credit, the screening of applicants becomes very significant. If the credit of applicants is bad, the bank will obtain a great loss. Support vector machine (SVM) is one of the most popular kinds of algorithms for the new consumer's credit approval. However, there is a disadvantage that the more close to the optimal hyper plane, the greater possibility of marking the error label of the data. In the view of the situation that the data near the optimal hyper plane may be misclassified and the probability is very high, in this paper, we employ the hybrid model SVM-KNN algorithm to improve the prediction accuracy of SVM. This way fully combines the advantages of SVM and KNN algorithms. Two group UCI datasets are chosen in our experiments. The experimental results imply that the hybrid SVM-KNN model is a promising approach for credit scoring.
Summary Anthracnose, caused by Colletotrichum gloeosporioides , is a significant fungal disease that affects poplar trees globally, leading to reduced yields and substantial economic losses. Proanthocyanidins (PAs) play a key role in resistance to fungal pathogens; however, the mechanisms by which PAs mediate resistance to anthracnose in poplar remain poorly understood. In this study, we identified PopbZIP2 , a transcription factor‐encoding gene that was initially expressed in infected leaves and subsequently in uninfected leaves in response to C. gloeosporioides infection. As a transcriptional activator, PopbZIP2 can bind to the promoters of target genes PopGRF3 and PopAPA1 , increasing proanthocyanidin levels in cells to enhance defense against pathogens. It is noteworthy that the PopAPA1 protein can directly inhibit pathogen growth. We further demonstrated that PopMYB4 can interact with PopbZIP2, reducing its promoter binding activity and thereby inhibiting the expression of PopGRF3 and PopAPA1. Overexpression of PopMYB4 led to sensitivity to the pathogen C. gloeosporiodes . Under normal conditions, the soluble and insoluble proanthocyanidin contents in PopMYB4 transgenic plants were significantly lower compared to the control. The dual regulation of immune responses by the PopMYB4‐PopbZIP2 module unveils a novel regulatory mechanism in Populus , enhancing our understanding of the complex networks governing immune responses.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)