Tissue Determinants of Human NK Cell Development, Function, and Residence.

Immune responses in diverse tissue sites are critical for protective immunity and homeostasis. Here, we investigate how tissue localization regulates the development and function of human natural killer (NK) cells, innate lymphocytes important for anti-viral and tumor immunity. Integrating high-dimensional analysis of NK cells from blood, lymphoid organs, and mucosal tissue sites from 60 individuals, we identify tissue-specific patterns of NK cell subset distribution, maturation, and function maintained across age and between individuals. Mature and terminally differentiated NK cells with enhanced effector function predominate in blood, bone marrow, spleen, and lungs and exhibit shared transcriptional programs across sites. By contrast, precursor and immature NK cells with reduced effector capacity populate lymph nodes and intestines and exhibit tissue-resident signatures and site-specific adaptations. Together, our results reveal anatomic control of NK cell development and maintenance as tissue-resident populations, whereas mature, terminally differentiated subsets mediate immunosurveillance through diverse peripheral sites. VIDEO ABSTRACT

Serum albumin and albuminuria predict the progression of chronic kidney disease in patients with newly diagnosed type 2 diabetes: a retrospective study

Background Diabetes-related kidney disease is associated with end-stage renal disease and a high mortality rate. However, data on risk factors associated with kidney disease in patients with newly diagnosed type 2 diabetes mellitus (DM) remains insufficient. The aim of the present study was to identify the risk factors significantly associated with chronic kidney disease progression in patients with newly diagnosed type 2 DM. Methods We reviewed a total of 254 consecutive patients who were newly diagnosed with type 2 diabetes at Nanjing First Hospital from January to December 2014. They were observed for two years, and baseline and biochemical variables were used to identify significant predictors of kidney failure progression. Kidney failure progression was defined as a ≥ 30% increase in serum creatine level. Results The mean age of patients was 58.96 years, 37.4% were women, and 57.1% had hypertension. Kidney function progressed in 40 patients (15.75%). Multivariable logistic regression analyses showed that serum albumin (p = 0.015) and microalbuminuria (p < 0.001) were associated with kidney failure progression in patients with newly diagnosed type 2 DM. Those with lower estimated glomerular filtration rate (eGFR; 30–60 ml/min/1.73 m2) at baseline had lower serum albumin levels compared to those of patients with higher eGFR. The albuminuria levels were higher in patients with lower eGFR than in those with eGFR ≥ 90 ml/min/1.73 m2. Receiver operating characteristic curve analysis showed that the area under the curve was 0.754 (95% CI [0.670–0. 0.837]). Conclusions The overall rate of chronic kidney disease progression is relatively high, and low serum albumin and high albuminuria levels are associated with kidney failure progression in newly diagnosed diabetic patients

Human Tissue-Resident Memory T Cells Are Defined by Core Transcriptional and Functional Signatures in Lymphoid and Mucosal Sites

Tissue-resident memory T cells (TRMs) in mice mediate optimal protective immunity to infection and vaccination, while in humans, the existence and properties of TRMs remain unclear. Here, we use a unique human tissue resource to determine whether human tissue memory T cells constitute a distinct subset in diverse mucosal and lymphoid tissues. We identify a core transcriptional profile within the CD69+ subset of memory CD4+ and CD8+ T cells in lung and spleen that is distinct from that of CD69− TEM cells in tissues and circulation and defines human TRMs based on homology to the transcriptional profile of mouse CD8+ TRMs. Human TRMs in diverse sites exhibit increased expression of adhesion and inhibitory molecules, produce both pro-inflammatory and regulatory cytokines, and have reduced turnover compared with circulating TEM, suggesting unique adaptations for in situ immunity. Together, our results provide a unifying signature for human TRM and a blueprint for designing tissue-targeted immunotherapies

Blueberry Ripeness Detection Model Based on Enhanced Detail Feature and Content-Aware Reassembly

Blueberries have high nutritional and economic value and are easy to cultivate, so they are common fruit crops in China. There is a high demand for blueberry in domestic and foreign markets, and various technologies have been used to extend the supply cycle of blueberry to about 7 months. However, blueberry grows in clusters, and a cluster of fruits generally contains fruits of different degrees of maturity, which leads to low efficiency in manually picking mature fruits, and at the same time wastes a lot of manpower and material resources. Therefore, in order to improve picking efficiency, it is necessary to adopt an automated harvesting mode. However, an accurate maturity detection model can provide a prerequisite for automated harvesting technology. Therefore, this paper proposes a blueberry ripeness detection model based on enhanced detail feature and content-aware reassembly. First of all, this paper designs an EDFM (Enhanced Detail Feature Module) that improves the ability of detail feature extraction so that the model focuses on important features such as blueberry color and texture, which improves the model’s ability to extract blueberry features. Second, by adding the RFB (Receptive Field Block) module to the model, the lack of the model in terms of receptive field can be improved, and the calculation amount of the model can be reduced at the same time. Then, by using the Space-to-depth operation to redesign the MP (MaxPool) module, a new MP-S (MaxPool–Space to depth) module is obtained, which can effectively learn more feature information. Finally, an efficient upsampling method, the CARAFE (Content-Aware Reassembly of Features) module, is used, which can aggregate contextual information within a larger receptive field to improve the detection performance of the model. In order to verify the effectiveness of the method proposed in this paper, experiments were carried out on the self-made dataset “Blueberry—Five Datasets” which consists of data on five different maturity levels of blueberry with a total of 10,000 images. Experimental results show that the mAP (mean average precision) of the proposed network reaches 80.7%, which is 3.2% higher than that of the original network, and has better performance than other existing target detection network models. The proposed model can meet the needs of automatic blueberry picking

How water landscape shapes the urban form in a changing climate

Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis. Page 112 blank.Includes bibliographical references (pages 106-111).When standing among urban villages, residential towers and warehouses in an urbanizing city in the Pearl River delta (PRD), it is hard to imagine that just forty years ago this area was filled with streams, ponds and rice paddies. Since the Reform in 1978, the PRD metropolitan area, with the name as "World Factory", has been a pilot in urbanization together with millions of migrant labors rushed into the industries. Hydrological system accompanied with corridors for species is disrupted, fragmented and polluted when big infrastructures, industries and neighborhoods are planned without considering natural system. Storm water runoff causes flooding in the cities every year, and at the same time, extreme weather events linked to climate change and sea level rise threatens urban life and property in the future. This thesis proposes hydrological urbanism which not only can solve problems of flooding and water pollution, but also provides continuous corridors for species and recreational parks for citizens. In hydrological urbanism, water is given more room to meander and this room can catch more water runoff when it is flooding. Phytoremediation cleans the water from upper streams and swells into a wetland buffer between big infrastructures and neighborhood. Water behaves as the park to shape the neighborhood and recreational space for public access. The thesis investigates PRD through urban and hydrological analysis on different scales. With the example of Lijiao in Guangzhou (the capital city in PRD), this thesis asserts a hydrological urbanism prototype between the highway infrastructure and existing water system. An overall plan identifies similar types of urbanization which may possibly happen on the whole PRD system. The case of Lijiao can be transformed and generalized in these similar locations. Not only is for today's redevelopment, the hydrological urbanism is also changeable for future climate changes.by Wenji Ma.S.M

Lightweight Blueberry Fruit Recognition Based on Multi-Scale and Attention Fusion NCBAM

Blueberries are widely planted because of their rich nutritional value. Due to the problems of dense adhesion and serious occlusion of blueberries during the growth process, the development of automatic blueberry picking has been seriously hindered. Therefore, using deep learning technology to achieve rapid and accurate positioning of blueberries in the case of dense adhesion and serious occlusion is one of the key technologies to achieve the automatic picking of blueberries. To improve the positioning accuracy, this paper designs a blueberry recognition model based on the improved YOLOv5. Firstly, the blueberry dataset is constructed. On this basis, we design a new attention module, NCBAM, to improve the ability of the backbone network to extract blueberry features. Secondly, the small target detection layer is added to improve the multi-scale recognition ability of blueberries. Finally, the C3Ghost module is introduced into the backbone network, which reduces the number of model parameters while ensuring the accuracy, thereby reducing the complexity of the model to a certain extent. In order to verify the effectiveness of the model, this paper conducts experiments on the self-made blueberry dataset, and the mAP is 83.2%, which is 2.4% higher than the original network. It proves that the proposed method is beneficial to improve the blueberry recognition accuracy of the model

Characterization of the two tandem repeats for the KPC-2 core structures on a plasmid from hospital-derived Klebsiella pneumoniae

Abstract Today, Klebsiella pneumoniae strains are sophisticatedly associated with the transmission of KPC, and ST11 clones carrying KPC-2 are an important target for anti-infective clinical therapy, posing a very high threat to patients. To present the detailed genetic features of two KPC-2 core structures of F94_plasmid pA, the whole genome of K. pneumoniae strain F94 was sequenced by nanopore and illumina platform, and mobile genetic elements associated with antibiotic-resistance genes were analyzed with a series of bioinformatics methods. K. pneumoniae strain F94, identified as a class A carbapenemase-resistant Enterobacteriaceae, was resistant to most tested antibiotics, especially to low-levels of ceftazidime/avibactam (avibactam ≤ 4 mg/L), owing to overexpression of the two KPC-2 in F94_plasmid pA. However, strain F94 was sensitive to high-levels of ceftazidime/avibactam (avibactam ≥ 8 mg/L), which correlated with further inhibition of ceftazidime hydrolysis by the KPC-2 enzyme due to the multiplication of avibactam. Collinearity analysis indicated that multi-drug resistance (MDR) regions of plasmids with the tandam repeats of two or more KPC-2 core structures share highly similar structures. This study characterized the MDR region of the F94_ plasmid pA as homologous to plasmids pKPC2_090050, pKPC2_090374, plasmid unnamed 2, pC2414-2-KPC, pKPC2-020037, pBS1014-KPC2, pKPC-J5501, and pKPC2-020002, which contained the tandem repeats of one, two, or more KPC-2 core structures, providing insight into the evolution of multidrug resistance in K. pneumoniae. An alternative theoretical basis for exploring the tandem repeats of two or more KPC-2 core structures was developed by analyzing and constructing the homologous sequence of F94_ plasmid pA