Digital Image Art Style Transfer Algorithm and Simulation Based on Deep Learning Model

In order to solve the problems of poor region delineation and boundary artifacts in Indian style migration of images, an improved Variational Autoencoder (VAE) method for dress style migration is proposed. Firstly, the Yolo v3 model is used to quickly identify the dress localization of the input image, and then the classical semantic segmentation algorithm (FCN) is used to finely delineate the desired dress style migration region twice, and finally the trained VAE model is used to generate the migrated Indian style image using a decision support system. The results show that, compared with the traditional style migration model, the improved VAE style migration model can obtain finer synthetic images for dress style migration, and can adapt to different Indian traditional styles to meet the application requirements of dress style migration scenarios. We evaluated several deep learning based models and achieved BLEU value of 0.6 on average. The transformer-based model outperformed the other models, achieving a BLEU value of up to 0.72.

Potential of Optical Frequency Domain Imaging for Differentiation Between Early and Advanced Coronary Atherosclerosis

Purpose Optical frequency domain imaging (OFDI) is widely used to characterize lipidic-atherosclerotic plaques, shown as signal-poor regions with diffuse borders, in clinical setting. Given that lipid components are common to both fibroatheroma (FA) and pathological intimal thickening (PIT), it is unclear whether OFDI can be used to accurately distinguish between FA and PIT. This study evaluated the differences in OFDI findings between FA and PIT in comparison with histopathology. Methods A total of 631 histological cross-sections from 14 autopsy hearts were analyzed for the comparison between OFDI and histological images. Of those, 190 (30%) sections were diagnosed with PIT and 120 (19%) with FA. All OFDI images were matched with histology and the OFDI signal attenuation rate was calculated from an exponential. The lipid length was measured longitudinally, and the lipid arc was measured with a protractor centered in the center of the lumen. Results There was no significant difference in the OFDI signal attenuation rate between FA and PIT (3.09 ± 1.04 versus 2.79 ± 1.20, p = 0.13). However, the lipid length was significantly longer and the maximum lipid arc was significantly larger in FA than in PIT (7.5 [4.3–10.3] mm versus 4.3 [2.7–5.8] mm, p < 0.0001, and 125 [101–174]° versus 96 [74–131]°, p < 0.0001, respectively). Conclusions OFDI may be capable of discriminating advanced lipid plaques from early stage atherosclerosis based on the longitudinal and circumferential extent of signal-poor region.

Taming active transposons at Drosophila telomeres: The interconnection between HipHop’s roles in capping and transcriptional silencing

Drosophila chromosomes are elongated by retrotransposon attachment, a process poorly understood. Here we characterized a mutation affecting the HipHop telomere-capping protein. In mutant ovaries and the embryos that they produce, telomere retrotransposons are activated and transposon RNP accumulates. Genetic results are consistent with that this hiphop mutation weakens the efficacy of HP1-mediated silencing while leaving piRNA-based mechanisms largely intact. Remarkably, mutant females display normal fecundity suggesting that telomere de-silencing is compatible with germline development. Moreover, unlike prior mutants with overactive telomeres, the hiphop stock does not over-accumulate transposons for hundreds of generations. This is likely due to the loss of HipHop’s abilities both to silence transcription and to recruit transposons to telomeres in the mutant. Furthermore, embryos produced by mutant mothers experience a checkpoint activation, and a further loss of maternal HipHop leads to end-to-end fusion and embryonic arrest. Telomeric retroelements fulfill an essential function yet maintain a potentially conflicting relationship with their Drosophila host. Our study thus showcases a possible intermediate in this arm race in which the host is adapting to over-activated transposons while maintaining genome stability. Our results suggest that the collapse of such a relationship might only occur when the selfish element acquires the ability to target non-telomeric regions of the genome. HipHop is likely part of this machinery restricting the elements to the gene-poor region of telomeres. Lastly, our hiphop mutation behaves as a recessive suppressor of PEV that is mediated by centric heterochromatin, suggesting its broader effect on chromatin not limited to telomeres.

High-Resolution Microscopy to Learn the Nuclear Organization of the Living Yeast Cells

The spatial organization of the nucleus is a key determinant in all genome activities. However, the accurate measurement of the nuclear organization is still technically challenging. Here, the technology NucQuant we created previously was utilized to detect the variation of the nuclear organization, including the heterogeneity of the nuclear geometry, the change of the NPC distribution along different cell cycle stages during interphase, and the organization of the nucleolus. The results confirmed that not only the growth rate and the NPC distribution are influenced by the carbon source; the nuclear shape is also impacted by the carbon source. The nuclei lost their spherical geometry gradually when the cell was cultured from the most to a less favorable carbon source. We also discovered that the nucleolus prefers to locate at the nuclear periphery, which was called the “genes poor region,” especially when the cells entered quiescence. Furthermore, the distribution of the NPC along the different stages during the interphase was analyzed. We proposed that with the growth of the cell, the nucleus would grow from the surface of the NE flanking the nucleolus firstly.

Germinating seeds in dry soil: examining the process of frugal innovation in micro- and small-enterprises at the base of the pyramid

Purpose This study aims to examine the process of frugal innovation (FI) in micro- and small-enterprises (MSEs) at the base of the pyramid (BOP) through the analytical lens of business models. Design/methodology/approach A case study was conducted with 30 MSEs from three different industries in a very poor region in Brazil. Findings The findings indicate that, in cases where FI is intense and dynamic, the start of the FI process is based on the reinterpretation of fashion trends and influences from the business ecosystem while the consolidation of FI in MSEs occurs through the reconfiguration of resources. Additionally, this study shows that FI depends on conditions other than the production of frugal products for BOP consumers. Research limitations/implications This study points out that the presence of end-of-life non-BOP raw materials distributed by large distributors in the case of fashion products, along with the interaction between MSEs at the BOP and these distributors, trigger FI and are profitable for both. For non-fashion products with long life cycles, there is no demand for innovation. Originality/value This study addresses the research void present in the literature on FI by presenting the process of FI and the conditions that leverage or stagnate FI in MSEs at the BOP, as well as how business models are shaped by these conditions.

The Feasibility of Controlled Environment in Horticulturally Poor Region: The Case of New Brunswick in Canada

More than 90% of the money spent on food in the Canadian province of New Brunswick was spent on food that was imported to the province from either other provinces or out of the country. The feasibility of controlled environment agriculture in the Canadian province of New Brunswick depends on a large variety of factors, some of which have no available data. Few studies have looked at this issue, including consumers&rsquo; willingness to pay for locally grown produce in that region. The study aims at understanding how agriculture can serve the region differently to increase its food autonomy and how consumers would be receptive to more locally grown produce. From the information in the survey conducted, unless CEA (Controlled Environment Agriculture) crops can compete with conventionally grown and imported alternatives pricewise, it could face many issues in New Brunswick and Canada considering the economic uncertainties surrounding COVID-19. Canadians were also surveyed specifically about paying a premium for food that they considered local, not necessarily Canada as a whole, and many of the larger regions in Canada, such as Ontario and Quebec, consider food grown within their region as local &ndash; a definition which would not include New Brunswick.

Difference of genomic compartments is correlated with contrastive modes of functional losses of host specificity determinants during the course of pathotype differentiation in Pyricularia oryzae

The specificity between pathotypes of Pyricularia oryzae and genera of gramineous plants is governed by gene-for-gene interactions. Here, we show that avirulence genes involved in this host specificity have undergone different modes of functional losses dependent on, or affected by genomic compartments harboring them. The avirulence of an Eleusine pathotype on wheat is controlled by five genes including PWT3 which played a key role in the evolution of the Triticum pathotype (the wheat blast fungus). We cloned another gene using an association of its presence/absence with pathotypes, and designated it as PWT6. PWT6 was widely distributed in a lineage composed of Eleusine/Eragrostis isolates, but completely absent in a lineage composed of Lolium/Triticum isolates. On the other hand, PWT3 homologs were present in all isolates, and their loss of function in Triticum isolates was caused by insertions of transposable elements or nucleotide substitutions. Analyses of whole genome sequences of representative isolates revealed that these two genes were located in different genomic compartments; PWT6 was located in a repeat-rich region while PWT3 was located in a repeat-poor region. These results suggest that the course of differentiation of the pathotypes in P. oryzae appears to be illustrated as processes of functional losses of avirulence genes, but that modes of the losses are affected by genomic compartments in which they reside.

Young Women With Breast Cancer in Brazil: A Population‐Based Study Epidemiology of Breast Cancer in Young Women

Background: Worldwide, breast cancer is the most frequent cancer in woman. The incidence in young women has been increasing in the last decade, mainly in developing countries. The aim of this study was to report the incidence of breast cancer in young patients (≤ 40 y) from 2007 to 2014 in a poor region of Brazil. Results: There were a total of 660 cases within a period of 8 years, with an average of 82 cases per year, and with median age of 36 years, ranging from 16 to 40 years. The most frequent cases were invasive carcinoma of no special type (87%), stage II (34.2%), positive for the progesterone receptor (PR, 51.6%), and for estrogen receptor (ER, 59.1%) and positive familial history of cancer (44.5%). These patients are mainly from the urban area (90%) and poorly educated (66.6% completed elementary school). Significant differences were observed for overall survival for the independent variables: age group (p = 0.012), clinical staging (p< 0.001), PR (p= 0.003), ER (p= 0.029) and pregnancy (p= 0.021). No significant difference was found between the survival curves of patients HER2+ or HER2-. The standardized rates for age (ASR) per 100,000 was 3.0-5.3%, which is low when compared to the Global Cancer Observatory (ASR 8.3%) or Brazil (ASR 10.8%). Conclusion: although the incidence of young women has increased in the country, especially in the study region, it has remained stable in the population studied in the last 8 years.

Spatial prediction of spring locations in data poor region of Central Himalayas

This research explores the methods for understanding groundwater springs distribution and occurrence using Geographic Information System (GIS) and Machine Learning technique in data poor areas of the Central Himalayas. The objectives of this study are to analyse the distribution of natural springs, evaluate three random forest models for its predictability and establish a model for the prediction of occurrence of springs. This study evaluates the primary causal factors for occurrence of springs. The data used in this study consists of 20 parameters based on topography, geology, lithology, hydrology and land use as causal factors, whereas 621 spring location and discharge (n = 621) measured during 2014–2016 and 815 non-spring locations (generated by GIS tool) use as supporting evidence to train (80%) and test (20%) the prediction model. Results show that the Bootstrap method is comparatively reliable (92% accuracy) over Boosted tree (64% accuracy) and Decision tree (74% accuracy) methods to classify and predict the occurrence of springs in the watershed. Bootstrap Forest shows the high Prediction rate for True Positive (82% actual spring predicted as a spring) and True Negative (89% actual non-spring predicted as non-spring), and the model seems consistent in both responses. This model was then applied to an independent dataset to predict spring location estimates with 75% accuracy. Therefore, spatial statistical methods prove efficient at predicting spring occurrence in data poor regions.