Joycerandrup3021

Of those reporting needs, 438 (66%) had food-, housing-, or transportation-related needs. Qualitative interviews with staff from pilot hospitals were conducted. There were 3 main themes the screening tool was easy to use; patients could be reluctant to reveal SDOH information; and lack of a standardized referral process made patient screening difficult to sustain or justify. The volume and magnitude of SDOH needs identified, along with the sense of helplessness expressed in qualitative interviews, reinforced the decision to implement a technology platform for screening, closed-loop referral, and outcome measurement.The biofilm-forming Staphylococcus aureus strains are responsible for causing a number of diseases. With the emergence of multidrug resistance they constitute a catastrophic threat to medicine. The ability of 65 clinical strains of multidrug-resistant S. aureus (MDRSA) to form biofilm in vitro was examined in this study and analyzed in relation to SCCmec, spa type, microbial surface components recognizing adhesive matrix molecules (MSCRAMMs), and ica genes. Results obtained from crystal violet and MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assays showed that all MDRSA strains tested form biofilm but, of 65 strains, only 18 strains (28%) were found to form a biofilm with high metabolic activity and a great amount of biomass. The high proportion of MDRSA isolates in our study made no significant difference for ica and MSCRAMMs genes according to biofilm-forming capacity, except for fib, icaA, and cna gene. In addition, this study demonstrated that strains carrying SCCmec type I showed a significantly decreased biofilm viability compared with the strains harboring SCCmec type II and type IV, but SCCmec type could not serve as a good predictor of biofilm formation. However, we found that significantly weaker metabolic activity was detected in the biofilm of isolates with spa type t011.Background Adipose tissue deposition is a known consequence of lymphedema. A previous study showed that the affected arm in patients with nonpitting breast cancer-related lymphedema (BCRL) had a mean excess volume of 73% fat and 47% muscle. This condition impairs combined physiotherapy as well as more advanced microsurgical methods. Liposuction is, therefore, a way of improving the effects of treatment. This study aims to evaluate the tissue changes in lymphedematous arms after liposuction and controlled compression therapy (CCT) in patients with nonpitting BCRL. Methods and Results Eighteen women with an age of 61 years and a duration of arm lymphedema (BCRL) of 9 years were treated with liposuction and CCT. Tissue composition of fat, lean (muscle), and bone mineral was analyzed through dual energy X-ray absorptiometry (DXA) before, and at 3 and 12 months after surgery. Excess volumes were also measured with plethysmography. The median DXA preoperative excess volume was 1425 mL (704 mL fat volume, 651 mL lean volume). The DXA excess volume at 3 months after surgery was 193 mL (-196 mL fat volume, 362 mL lean volume). At 12 months after surgery, the median excess DXA volume was 2 mL (-269 mL fat volume, 338 mL lean volume). From before surgery to 3 months after surgery, the median DXA excess volume reduced by 85% (p  less then  0.001) (fat volume reduction 128% (p  less then  0.001), lean volume reduction 37% (p = 0.016)). From before surgery to 12 months after surgery, it reduced by 100% (p  less then  0.001) (fat volume reduction 139% [p  less then  0.001], lean volume reduction 54% [p = 0.0013]). Conclusions Liposuction and CCT effectively remove the excess fat in patients with nonpitting BCRL, and a total reduction of excess arm volume is achievable. A postoperative decrease in excess muscle volume is also seen, probably due to the reduced weight of the arm postoperatively.Venturia carpophila, the causal agent of scab disease on peach, is a host-specific fungus that is widely distributed around the world, including China. In our previous study, samples were collected from 14 provinces in China, and 750 isolates were obtained by single-spore separation. Here, we reported the first highly contiguous whole-genome sequence (35.87 Mb) of the V. carpophila isolate ZJHZ1-1-1, which included 33 contigs with N50 value of 2.01 Mb and maximum contig length of 3.39 Mb. The high-quality genome sequence and annotation resource will be useful to study the fungal biology, pathogen-host interaction, fungicide resistance, characterization of important genes, population genetic diversity, and development of molecular markers for genotyping and species identification.[Formula see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.Background The purpose of this study was to develop a rapid, reliable, and efficient tool for three-dimensional (3D) dosimetry treatment planning and post-treatment evaluation of liver radioembolization with 90Y microspheres, using tissue-specific dose voxel kernels (DVKs) that can be used in everyday clinical practice. Materials and Methods Two tissue-specific DVKs for 90Y were calculated through Monte Carlo (MC) simulations. DVKs for the liver and lungs were generated, and the dose distribution was compared with direct MC simulations. A method was developed to produce a 3D dose map by convolving the calculated DVKs with the activity biodistribution derived from clinical single-photon emission computed tomography (SPECT) or positron emission tomography (PET) images. Image registration for the SPECT or PET images with the corresponding computed tomography scans was performed before dosimetry calculation. The authors first compared the DVK convolution dosimetry with a direct full MC simulation on an XCAT anthropomorphic phantom. They then tested it in 25 individual clinical cases of patients who underwent 90Y therapy. All MC simulations were carried out using the GATE MC toolkit. Results Comparison of the measured absorbed dose using tissue-specific DVKs and direct MC simulation on 25 patients revealed a mean difference of 1.07% ± 1.43% for the liver and 1.03% ± 1.21% for the tumor tissue, respectively. The largest difference between DVK convolution and full MC dosimetry was observed for the lung tissue (10.16% ± 1.20%). The DVK statistical uncertainty was less then 0.75% for both media. Conclusions This semiautomatic algorithm is capable of performing rapid, accurate, and efficient 3D dosimetry. The proposed method considers tissue and activity heterogeneity using tissue-specific DVKs. Furthermore, this method provides results in less then 1 min, making it suitable for everyday clinical practice.Recently, emotion recognition in conversation (ERC) has become more crucial in the development of diverse Internet of Things devices, especially closely connected with users. The majority of deep learning-based methods for ERC combine the multilayer, bidirectional, recurrent feature extractor and the attention module to extract sequential features. In addition to this, the latest model utilizes speaker information and the relationship between utterances through the graph network. Zosuquidar However, before the input is fed into the bidirectional recurrent module, detailed intrautterance features should be obtained without variation of characteristics. In this article, we propose a residual-based graph convolution network (RGCN) and a new loss function. Our RGCN contains the residual network (ResNet)-based, intrautterance feature extractor and the GCN-based, interutterance feature extractor to fully exploit the intra-inter informative features. In the intrautterance feature extractor based on ResNet, the elaborate context feature for each independent utterance can be produced. Then, the condensed feature can be obtained through an additional GCN-based, interutterance feature extractor with the neighboring associated features for a conversation. The proposed loss function reflects the edge weight to improve effectiveness. Experimental results demonstrate that the proposed method achieves superior performance compared with state-of-the-art methods.[Figure see text].Common bean (Phaseolus vulgaris L.) is an important grain legume cultivated worldwide as food for humans and livestock (Schwartz et al., 2005). Common beans in central Chile reach up to 3,893 ha from which 1,069 ha are located in the Maule region. Common bean is produced by small farmers who have limited access to fertilization, technical irrigation, and crop protection. In spring 2018, bean plants initially showed a slight yellowing and premature senescence 50 days after sowing (das) until showing wilting symptoms (70 -100 das) in Curepto fields (35 05'S; 72 01'W), Maule region. The basal part of affected plants displayed internal reddish-brown discoloration of the vascular tissues. Based on the plant external symptoms, we estimated an incidence between 15% and 45% in bean fields. Nine symptomatic plants were collected, and surface washed with sterile water and disinfested with 75% ethanol (v/v). Then small fragments (5-mm) from damage vascular tissue from each plant were cut and placed on Petri dishes contamolecularly identified as F. oxysporum. To our knowledge, this is the report of a severe outbreak of F. oxysporum causing Fusarium yellows in P. vulgaris in the Maule region, Chile. Previously, F. oxysporum has been reported affecting tomato (Sepúlveda-Chavera et al., 2014) and blueberry in Chile (Moya-Elizondo et al., 2019).The genus Pantoea forms a complex of more than 25 species, among which several cause diseases of various crop plants, including rice. Notably, strains of Pantoea ananatis and P. stewartii have been repeatedly reported to cause bacterial leaf blight of rice, whereas other authors have observed that P. agglomerans can also cause bacterial leaf blight of rice. The contribution of these and perhaps other species of Pantoea to plant diseases and yield losses of crop plants is currently not well documented, partly due to the lack of efficient diagnostic tools. Using 32 whole-genome sequences of the three major plant-pathogenic Pantoea spp., a set of PCR primers that detect each of the three species P. agglomerans, P. ananatis, and P. stewartii was designed. A multiplex PCR scheme which can distinguish these three species and also detects members of other Pantoea spp. was further developed. Upon validation on a set of reference strains, 607 suspected Pantoea strains that were isolated from rice leaves or seed originating from 11 African countries were screened. In total, 41 P. agglomerans strains from 8 countries, 79 P. ananatis strains from 9 countries, 269 P. stewartii strains from 9 countries, and 218 unresolved Pantoea strains from 10 countries were identified. The PCR protocol allowed detection of Pantoea bacteria grown in vitro, in planta, and in rice seed. The detection threshold was estimated as total genomic DNA at 0.5 ng/µl and heated cells at 1 × 104 CFU/ml. This new molecular diagnostic tool will help to accurately diagnose major plant-pathogenic species of Pantoea. Due to its robustness, specificity, sensitivity, and cost efficiency, it will be very useful for plant protection services and for the epidemiological surveillance of these important crop-threatening bacteria.