Multimodal imaging characteristics of retinal diseases associated with COVID-19 / 中华眼底病杂志

Objective:To observe the multimodal imaging features of retinal diseases associated with COVID-19.Methods:A retrospective case study. Sixteen patients (30 eyes) of retinal diseases associated with COVID-19 admitted to the Ophthalmology Department of the Second People's Hospital of Zhengzhou in December 2022 were included in the study. There were 5 males and 11 females, with the mean age of (26.69±9.88) years; 14 patients were bilateral and 2 patients were unilateral. The time of ocular symptoms after the diagnosis of COVID-19 was (2.63±0.89) days. All patients underwent the examinations of best corrtected visual acuity (BCVA), fundus color photography (FP), infrared fundus photography (IR), optical coherence tomography (OCT). Fluorescein fundus angiography (FFA) was performed in 2 patients (4 eyes). There were 20 eyes with acute macular neuroretinopathy (AMN), including 6 eyes with cotton wool spots; 10 eyes with Purtscher-like retinopathy (PLR). The BCVA of the patients was 0.1-1.0. No obvious abnormality was found in anterior segment examination. The features of FP, IR and OCT were analyzed retrospectively.Results:In 20 eyes of AMN, irregular reddish brown lesions in the central or paracentral area of the macula in 14 eyes; FP showed no obvious abnormality in 6 eyes; IR showed irregular map like low reflection in the central or paracentral area of macular in all eyes; OCT showed hyperreflectivity in outer plexiform layer and outer nuclear layer, hyporeflectivity in the ellipsoid zone and photoreceptor layers in all eyes; no abnormal fluorecence was observed in 2 eyes examined by FFA. In 10 eyes with PLR, cotton wool spots and retinal hemorrhage were observed in the posterior pole and/or peripapillary area, and the peripheral retina was generally normal, Purtscher spot was found in 5 eyes and macular edema in 4 eyes; OCT showed strong reflex signal in neuroepithelial layers, edema in neuroepithelial layers in 6 eyes; in the 2 eyes examined by FFA, fluorescein leakage from the retinal vein wall was observed, the posterior pole and peripapillary area retinal arteriole occlusions showed patchy hypofluorescence, the fluorescence was obscured by retinal hemorrhage below at inferior retina.Conclusions:For AMN associated with COVID-19, IR can show the lesion contour, OCT shows lesions in the outer retina. PLR associated with COVID-19 are usually at the posterior pole and/or peripapillary area in FP, OCT shows neurocortical edema.

A standardized pathological proposal for evaluating microvascular invasion of hepatocellular carcinoma: a multicenter study by LCPGC.

BACKGROUND AND AIMS: Microvascular invasion (MVI) is a key pathological factor that severely affects the postoperative prognosis of patients with hepatocellular carcinoma (HCC). However, no MVI classification schemes based on standardized gross sampling protocols of HCC are available at present. METHODS: 119 HCC specimens were sampled at multiple sites (3-, 7-, and 13 points) for the optimum MVI detection rate. 16,144 resected HCCs were graded as M0, M1 or M2 by adopting three-tiered MVI grading (MVI-TTG) scheme based on the seven-point sampling protocol (SPSP). Survival analyses were performed on 2573 patients to explore the advantages of MVI-TTG. RESULTS: The MVI detection rate determined by SPSP was significantly higher than that determined by the 3-point sampling method (34.5% vs. 47.1%, p = 0.048), but was similar to that determined by the 13-point sampling method (47.1% vs. 51.3%, p = 0.517). Among 16,144 resected HCCs, the proportions of M0, M1 and M2 specimens according to SPSP were 53.4%, 26.2% and 20.4%, respectively. Postoperative survival analysis in 2573 HCC patients showed that the 3-year recurrence rates in M0, M1 and M2 MVI groups were 62.5%, 71.6% and 86.1%, respectively (p < 0.001), and the corresponding 3-year overall survival (OS) rates were 94.1%, 87.5% and 67.0%, respectively (p < 0.001). M1 grade was associated with early recurrence, while M2 grade was associated with both early and late recurrence. MVI-TTG had a larger area under the curve and net benefit rate than the two-tiered MVI grading scheme for predicting time to recurrence and OS. CONCLUSIONS: SPSP is a practical method to balance the efficacy of sampling numbers and MVI detection rates. MVI-TTG based on SPSP is a better prognostic predictor than the two-tiered MVI scheme. The combined use of SPSP and MVI-TTG is recommended for the routine pathological diagnosis of HCC.

Genetic delimitation of Oreocharis species from Hainan Island.

Hainan Island harbours an extraordinary diversity of Gesneriaceae with 14 genera and 23 species, amongst which two species and one variety are recognised in the genus Oreocharis. These three Oreocharis taxa are all Hainan-endemics and show a complex geographical distribution pattern with considerable morphological intermixtures. In this study, we combined DNA (nuclear ITS sequences and cpDNAtrnL-trnF and ycf1b) to evaluate genetic delimitation for 12 Oreocharis populations from the island, together with morphological similarity analysis using 16 morphological traits. The results showed Hainan Oreocharis taxa were monophyletic with relative low genetic diversity within populations, highly significant genetic differentiation amongst populations and a significant phylogeographical structure. The 12 populations formed three genetically distinct groups, roughly correspondent to the currently recognised two species and one unknown lineage. The PCA analyses of morphological traits indicate three distinctive groups, differing mainly in petal colour and corolla shapes. The roles of river and mountain isolations in the origin and distribution of these three lineages are discussed.

Oreocharis jasminina (Gesneriaceae), a new species from mountain tops of Hainan Island, South China.

A new species of Gesneriaceae, Oreocharis jasminina S.J.Ling, F.Wen & M.X. Ren from Hainan Island, south China, is highlighted and described. The new species is distinguished by its actinomorphic corolla, narrow floral tube and ovate anthers hidden in the floral tube. The new species also showed clear geographic and altitudinal isolation from the three currently-recognised Oreocharis species on the Island. Molecular phylogenetic analysis, based on nuclear ITS1/2 and plastid trnL-trnF sequences, supported the delimitation of the new species, which forms a single lineage with all the other Oreocharis species from Hainan Island. The roles of geographic and floral isolation in the evolution of the new species and its affinities are discussed.

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the traditional healthcare strategy for tackling COVID-19. However, segmenting infected regions from CT slices faces several challenges, including high variation in infection characteristics, and low intensity contrast between infections and normal tissues. Further, collecting a large amount of data is impractical within a short time period, inhibiting the training of a deep model. To address these challenges, a novel COVID-19 Lung Infection Segmentation Deep Network (Inf-Net) is proposed to automatically identify infected regions from chest CT slices. In our Inf-Net, a parallel partial decoder is used to aggregate the high-level features and generate a global map. Then, the implicit reverse attention and explicit edge-attention are utilized to model the boundaries and enhance the representations. Moreover, to alleviate the shortage of labeled data, we present a semi-supervised segmentation framework based on a randomly selected propagation strategy, which only requires a few labeled images and leverages primarily unlabeled data. Our semi-supervised framework can improve the learning ability and achieve a higher performance. Extensive experiments on our COVID-SemiSeg and real CT volumes demonstrate that the proposed Inf-Net outperforms most cutting-edge segmentation models and advances the state-of-the-art performance.

Evaluation of the complexity of indoor air in hospital wards based on PM2.5, real-time PCR, adenosine triphosphate bioluminescence assay, microbial culture and mass spectrometry.

BACKGROUND: The aim of this study was to establish a set of assessment methods suitable for evaluating the complex indoor environment of hospital wards and to ascertain the composition of bacteria and microbial ecology of hospital wards. METHODS: Colony-forming units (CFUs), PM2.5 detection, real-time PCR, and adenosine triphosphate (ATP) bioluminescence assay were employed to evaluate the complexity of indoor air in 18 wards of nine departments in a hospital and two student dormitories in a university. Subsequently, the microbial samples were quantified and identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). RESULTS: Although the studied indices were relatively independent, the PM2.5 content was correlated with bacterial CFUs determined by passive sedimentation method, bacterial and fungal counts measured by real-time PCR, and ATP bioluminescence assay. The composition of microorganisms in the air of hospital wards differed from that in the air of student dormitories. The dominant genera in hospital wards were Staphylococcus (39.4%), Micrococcus (21.9%), Corynebacterium (11.7%), Kocuria (4.4%), Bacillus (2.9%), Streptococcus (1.6%), Moraxella (1.6%), and Enterococcus (1.3%), and the microbial ecology differed between Respiration Dept. III and other hospital departments. Additionally, 11.1 and 27.3% of bacteria in hospital wards and student dormitories were not identified, respectively. CONCLUSIONS: Assessment of environmental quality of hospital wards should be based on comprehensive analysis with multiple indicators. There may be imbalances in the microbial diversity in the hospital wards, therefore, monitoring of the environmental quality of hospitals is important in the prevention of nosocomial infections.

Problems and Countermeasures of Innovative Development of Southern Medicine Industry in Zhaoqing City / 中国实验方剂学杂志

Zhaoqing city is located in the midwest of Guangdong province,the middle and lower reaches of the mainstream of the Xijiang river.Many species of southern medicines grow very well in the Xijiang river basin of Zhaoqing because of existing of enormous mountainous and hilly areas,loose and fertile soil,warm climate,as well as abundant sunshine and rain.Zhaoqing has a long history of cultivating some species of southern medicines.For example,Cinnamomi Cortex was planted more than 300 years ago in Zhaoqing.Under the advocacy of national policy,the planting scale of some species of southern medicines expanded rapidly since 1980s.Up to now,plantation of the 4 species of southern medicines,namely,Morindae Officinalis Radix,Citri Sarcodactylis Fructus,Polygoni Multiflori Radix and Cinnamomi Cortex,has developed into a important representative industry in Zhaoqing.Zhaoqing also develops into the genuine producing area of this 4 species of southern medicines currently,and these products are sold well at home and abroad.Although great progress has been made in southern medicine industry in Zhaoqing,there still exist lots of problems for its future development,such as scattering planting instead of overall program,impure germplasm resources,plant diseases and insect pests,pesticide residue and pollution of heavy metal,lack of quality control in trading process,as well as absence of deep-processing and additional value of products.This paper analyzes the development status,advantages and problems of southern medicine industry in Zhaoqing,and puts forward some corresponding measures and suggestions.These proposals may have important guiding significance for promoting the development of local southern medicine industry.

Clinical application of the detection of heparin-binding protein in cerebrospinal fluid in intracranial infectious diseases / 中华检验医学杂志

Objective To investigate the clinical application value of the levels of heparin-binding protein (HBP) in cerebrospinal fluid (CSF) for intracranial infectious diseases. Methods A case-control study was conducted. 150 patients after craniotomy(73 in the postoperative bacterial intracranial infection group, 77 in the postoperative non-infection group) admitted to the Department of Neurology of the People's Hospital of Liaoning Province from December 2016 to May 2018 were collected. At the same time, 46 patients without operation (14 in the non-bacterial intracranial infection group, 32 patients without intracranial infection were selected as control group whose white blood cell count (WBC) values in CSF were all below 10 × 106/L) in the same period were also collected. According to the diagnostic criteria for severe intracranial infection, the patients with bacterial intracranial infection were divided into 26 cases of mild intracranial infection group and 47 cases of severe intracranial infection group. According to the Glasgow Outcome Scale (GOS) score at the time of discharge, the patients were divided into 30 cases of good prognosis group (GOS score 4-5 points) and 43 cases of poor prognosis group (GOS score 1-3 points). The concentrations of HBP in CSF were tested with latex immunoturbidimetry, and the concentrations of procalcitonin(PCT) in cerebrospinal fluid and serum were tested with electrochemiluminescence, and cerebrospinal fluid routine were tested with instrument method, and the concentrations of total protein(TP) in cerebrospinal fluid were tested with turbidimetry. The differences of the laboratory test indicators in each group were statistically analyzed, and the levels of HBP in CSF of patients with different degrees of intracranial infection and different prognosis were compared. Comparison of two independent samples was performed using the Mann-Whitney U test. Results The HBP levels in cerebrospinal fluid were 187.00 (73.00, 635.00) ng/ml, 10.00 (3.50, 32.00) ng/ml, 1.50 (0, 4.00) ng/ml, 3.00 (1.00, 4.00) ng/ml in post-craniotomy bacterial intracranial infection group, uninfected group after craniotomy, non-bacterial intracranial infection group and control group respectively. The cerebrospinal fluid levels of WBC count were 1280.00 (363.00, 4327.00)×106/L, 63.00 (18.50, 300.00)×106/L, 5.00 (3.00, 14.75)×106/L, 3.00 (2.00, 5.75)×106/L. The absolute value of cerebrospinal fluid neutrophils were 1216.00 (225.50, 3895.50)×106/L, 24.00 (2.00, 209.50)×106/L, 1.00 (1.00, 3.00)×106/L, 1.00 (1.00, 1.00)×106/L. The cerebrospinal fluid levels of PCT were 0.16 (0.10, 0.32) ng/ml, 0.09 (0.07, 0.14) ng/ml, 0.07 (0.06, 0.12) ng/ml, 0.07 (0.06, 0.13) ng/ml. The serum levels of PCT were 0.36 (0.15, 1.09) ng/ml, 0.09 (0.04, 0.16) ng/ml, 0.08 (0.04, 0.13) ng/ml, 0.07 (0.03, 0.11) ng/ml. The levels of HBP, WBC, neutrophils, PCT in CSF and serum PCT in the post-craniotomy bacterial intracranial infection group were significantly higher than those in the uninfected group after craniotomy (Z=-9.246,-6.759,-6.741,-4.477,-6.202, P<0.05), non-bacterial intracranial infection group(Z=-5.840,-5.412,-5.259,-2.923,-5.104,P<0.05) and the control group (Z=-7.905,-7.919,-7.335,-4.397,-5.474, P<0.05). There were significant differences in the levels of HBP, WBC and neutrophils in CSF(Z=-3.763,-3.444,-3.041,P<0.05) and no significant differences in CSF and serum PCT (Z=- 0.869, - 1.850, P>0.05)between the uninfected group after craniotomy and the non-bacterial intracranial infection group. There were significant differences in the levels of HBP, WBC and neutrophils in CSF(Z=-4.496,-6.685,-4.842,P<0.05) and no significant differences in CSF and serum PCT(Z=-0.676,-1.303, P>0.05)between the uninfected group after craniotomy and the control group. There were no significant differences in the levels of HBP, PCT in CSF and serum PCT (Z=-0.861,-0.514,-0.273, P>0.05)and significant differences in the levels of WBC and neutrophils in CSF(Z=-2.756,-3.060, P<0.05) between the non-bacterial intracranial infection group and the control group. The levels of HBP in CSF in the severe intracranial infection group were significantly higher than those in the mild intracranial infection group(Z=-6.267, P<0.05). The levels of HBP in CSF in the poor prognosis group were significantly higher than those in the good prognosis group(Z=-7.064, P<0.05). The area under the ROC curve for the diagnosis of bacterial intracranial infection by HBP, WBC, neutrophils, TP, PCT in CSF and PCT in serum was 0.986, 0.987, 0.945, 0.945, 0.770 and 0.914, respectively. The area under the ROC curve for differential diagnosis of bacterial intracranial infection and non-bacterial intracranial infection was 0.994, 0.958, 0.961, 0.929, 0.747 and 0.936, respectively. Conclusions HBP in CSF is an ideal indicator for the diagnosis of bacterial intracranial infection. It is important to distinguish between bacterial intracranial infection and non-bacterial intracranial infection. The extent of increase is related to the severity of infection and prognosis of the disease.

Habitat suitability evaluation for Angelica dahurica planting in Yanting county,Sichuan province based on GIS / 中国中药杂志

It is of great significance to analyze habitable suitability of genuine medicinal materials for Chinese herbal medicine planting according to local environment,for medicinal resources protecting and for reasonable planning introduction. Based on GIS technology,the analytic hierarchy process was applied to analyze the spatial differentiation of habitat suitability of Angelica dahurica in Yanting county of Sichuan province. The evaluation combined local geographical environment characteristics and habitat requirements for A. dahurica planting and adopted the expert experience method to screen out the evaluation index for establishing evaluation system.With the established evaluation system,the index weight of evaluating index was determined by analytic hierarchy process and their grouping values were assigned by Delphi method. The all evaluating index were translated into index distribution maps using Arc GIS software. Using the comprehensive factor weighted evaluating model and spatial index distribution map,the evaluation was obtained by means of the overlay analysis function of Arc GIS 10. 3 software. RESULTS:: showed that A. dahurica had a wide range of suitable planting areas in Yanting county. Highly suitable areas amounted to 165. 01 km2,and mainly distributed in the low hilly area with moderate elevation and fertile soil. Moderately suitable areas amounted to 798. 92 km2 which had extensive distribution in middle and west part of the county. Marginally suitable areas amounted to 0. 33 km2,where the soil was highly viscous with high altitude and low temperature that was not conducive to the growth and development of A. dahurica. Adapting to local conditions and scientific planning plays an important role in the development of local characteristic planting industry of genuine medicinal materials.

Marginal Representation Learning With Graph Structure Self-Adaptation.

Learning discriminative feature representations has shown remarkable importance due to its promising performance for machine learning problems. This paper presents a discriminative data representation learning framework by employing a simple yet powerful marginal regression function with probabilistic graphical structure adaptation. A marginally structured representation learning (MSRL) method is proposed by seamlessly incorporating distinguishable regression targets analysis, graph structure adaptation, and robust linear structural learning into a joint framework. Specifically, MSRL learns marginal regression targets from data rather than exploiting the conventional zero-one matrix that greatly hinders the freedom of regression fitness and degrades the performance of regression results. Meanwhile, an optimized graph regularization term with self-improving adaptation is constructed based on probabilistic connection knowledge to improve the compactness of the learned representation. Additionally, the regression targets are further predicted by utilizing the explanatory factors from the latent subspace of data, which can uncover the underlying feature correlations to enhance the reliability. The resulting optimization problem can be elegantly solved by an efficient iterative algorithm. Finally, the proposed method is evaluated by eight diverse but related tasks, including object, face, texture, and scene, categorization data sets. The encouraging experimental results and the explicit theoretical analysis demonstrate the efficacy of the proposed representation learning method in comparison with state-of-the-art algorithms.

GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints.

Remote person identification by gait is one of the most important topics in the field of computer vision and pattern recognition. However, gait recognition suffers severely from the appearance variance caused by the view change. It is very common that gait recognition has a high performance when the view is fixed but the performance will have a sharp decrease when the view variance becomes significant. Existing approaches have tried all kinds of strategies like tensor analysis or view transform models to slow down the trend of performance decrease but still have potential for further improvement. In this paper, a discriminative projection with list-wise constraints (DPLC) is proposed to deal with view variance in cross-view gait recognition, which has been further refined by introducing a rectification term to automatically capture the principal discriminative information. The DPLC with rectification (DPLCR) embeds list-wise relative similarity measurement among intraclass and inner-class individuals, which can learn a more discriminative and robust projection. Based on the original DPLCR, we have introduced the kernel trick to exploit nonlinear cross-view correlations and extended DPLCR to deal with the problem of multiview gait recognition. Moreover, a simple yet efficient gait representation, namely gait individuality image (GII), based on gait energy image is proposed, which could better capture the discriminative information for cross view gait recognition. Experiments have been conducted in the CASIA-B database and the experimental results demonstrate the outstanding performance of both the DPLCR framework and the new GII representation. It is shown that the DPLCR-based cross-view gait recognition has outperformed the-state-of-the-art approaches in almost all cases under large view variance. The combination of the GII representation and the DPLCR has further enhanced the performance to be a new benchmark for cross-view gait recognition.

Myricetin blocks the activation,proliferation and secretion of cardiac fibroblasts induced by TGF-β / 医学研究生学报

Objective It is rarely reported whether myricetin inhibits the activation and function of cardiac fibroblasts and thereby prevents myocardial fibrosis. This study was to investigate the effects of myricetin on the activation,proliferation and secretion of cardiac fibroblasts and its possible molecular mechanisms. Methods Fibroblasts isolated from 1-3 days old rats were cultured and their activation,proliferation and secretion were induced with the transforming growth factor (TGF). The fibroblasts were incubated with myricetin at different concentrations of 1,3,10,30 and 100 μmol/L for 24 hours followed by detection of their proliferation with the CKK8 kit,the transcription levels of fibrotic factors by RT-PCR and the expression levels of α-SMA and signal proteins by immunoflu-orescence staining and Western blot,respectively. Results The expression of α-SMA was significantly up-regulated in the cardiac fi- broblasts of the rats in the TGF-β,30 μmol/L myricetin+TGF-β and 100 μmol/L myricetin+TGF-β groups as compared with that in the control group (P<0.05) but down-regulated in the 30 μmol/L myricetin+TGF-β and 100 μmol/L myricetin+TGF-β groups in com-parison with that in the TGF-β group (P<0.05). At 48 hours,the transcription levels of collagenⅠ,collagenⅢ,fibronectin and con-nective tissue growth factor were markedly higher in the TGF-β,30 μmol/L myricetin+TGF-β and 100 μmol/L myricetin+TGF-β groups than in the control group (P<0.05) but lower in the 30 μmol/L myricetin+TGF-β and 100 μmol/L myricetin+TGF-β groups than in the TGF-β group (P<0.05). The phosphorylation levels of smad2 and smad3 were remarkably elevated in the TGF-β,30 μmol/L myricetin+TGF-β and 100 μmol/L myricetin+TGF-β groups and the expression of smad4 reduced in the TGF-β group as com-pared with the control group (P<0.05). The levels of smad2,smad3 and smad4 were all significantly decreased in the 30 μmol/L myr-icetin+TGF-β and the 100 μmol/L myricetin+TGF-β groups in comparison with the TGF-β group (P<0.05). Conclusion Myricetin suppresses the activation,proliferation and secretion of cardiac fibroblasts induced by TGF-β via inhibiting the smad signaling pathway.

Validation of the American Joint Commission on Cancer (8th edition) changes for patients with stage III gastric cancer: survival analysis of a large series from a Specialized Eastern Center.

The 8th edition of the TNM was released in 2016 and included major revisions, especially for stage III. We aimed to compare the prognostic value of the 7th and 8th editions of the AJCC TNM classification for stage III gastric cancer. Clinical data from 1557 patients operated on for stage III gastric cancer according to the 7th edition between 2007 and 2014 were analyzed and compared using the 7th and 8th TNM classifications. A proposed staging system was established, and the three systems were compared in terms of prognostic performance. The stage shifted for 669 (42.96%) patients. It shifted from IIIA to IIIB (one patient, 0.06%), IIIB to IIIA (230 patients, 14.8%), IIIB to IIIC (94 patients, 6.0%), and IIIC to IIIB (344 patients, 22.1%). However, the new AJCC subgroupings did not prove distinctive for survival levels between T3N3aM0 (stage IIIB) and T3N3bM0 (stage IIIC) or between T4aN3aM0 (stage IIIB) and T4aN3bM0 (stage IIIC) when <30 lymph nodes (LNs) were resected. The performance of the 8th edition (c-index, 0.614; 95% confidence interval [CI], 0.596-0.633) revealed no relevant improvement compared to the 7th edition (c-index, 0.624; 95% CI, 0.605-0.643). The proposed staging system generated the best prognostic stratification. The 8th TNM edition may not provide better accuracy in predicting the prognosis of stage III gastric cancer. The proposed staging system, comprised of a combination of the number of LNs harvested and the 7th and 8th AJCC classifications, may improve predictive capacities for stage III gastric cancer.

Pairwise Operator Learning for Patch-Based Single-Image Super-Resolution.

Motivated by the fact that image patches could be inherently represented by matrices, single-image super-resolution is treated as a problem of learning regression operators in a matrix space in this paper. The regression operators that map low-resolution image patches to high-resolution image patches are generally defined by the left and right multiplication operators. The pairwise operators are, respectively, used to extract the raw and column information of low-resolution image patches for recovering high-resolution estimations. The patch-based regression algorithm possesses three favorable properties. First, the proposed super-resolution algorithm is efficient during both training and testing, because image patches are treated as matrices. Second, the data storage requirement of the optimal pairwise operator is far less than most popular single-image super-resolution algorithms, because only two small sized matrices need to be stored. Last, the super-resolution performance is competitive with most popular single-image super-resolution algorithms, because both raw and column information of image patches is considered. Experimental results show the efficiency and effectiveness of the proposed patch-based single-image super-resolution algorithm.

Perceptually Guided Photo Retargeting.

We propose perceptually guided photo retargeting, which shrinks a photo by simulating a human's process of sequentially perceiving visually/semantically important regions in a photo. In particular, we first project the local features (graphlets in this paper) onto a semantic space, wherein visual cues such as global spatial layout and rough geometric context are exploited. Thereafter, a sparsity-constrained learning algorithm is derived to select semantically representative graphlets of a photo, and the selecting process can be interpreted by a path which simulates how a human actively perceives semantics in a photo. Furthermore, we learn the prior distribution of such active graphlet paths (AGPs) from training photos that are marked as esthetically pleasing by multiple users. The learned priors enforce the corresponding AGP of a retargeted photo to be maximally similar to those from the training photos. On top of the retargeting model, we further design an online learning scheme to incrementally update the model with new photos that are esthetically pleasing. The online update module makes the algorithm less dependent on the number and contents of the initial training data. Experimental results show that: 1) the proposed AGP is over 90% consistent with human gaze shifting path, as verified by the eye-tracking data, and 2) the retargeting algorithm outperforms its competitors significantly, as AGP is more indicative of photo esthetics than conventional saliency maps.

Rosiglitazone alleviates vascular endothelial dysfunction in type 2 diabetic rats / 基础医学与临床

To observe metabolic abnormalities, histology changes and eNOS expression of aorta in type 2 diabetes rat.And to observe intervention effect of rosiglitazone.Methods 80 male Wistar rats were randomized to control group, high diet group, diabetes group, and rosiglitazone treatment group (diabetes plus rosiglitazone treatment).Type 2 diabetes models were developed and rosiglization group was treated with rosiglitazone .Six weeks and twelve weeks after treatment with rosiglitazone, blood glucose, endothlin and nitric oxide were tested.Histology changes of aorta in different groups were observed under microscopy .Meanwhile the protein and mRNA expression of eNOS in aorta were examined.Results 1)Compared with control group, ET in high fat diet group, diabetes group and rosiglitazone group increased significantly , and the level of NO decreased significantly at 6 week and 12 week.At 12 week, ET in diabetes group increased, and NO decreased significantly than that of high fat diet group and rosiglitazone group.2)Histology changes were observed in high fat diet group , diabetes group and rosiglitazone group at 12 week.3)Compared with control group, protein and mRNA expression in high fat diet group , diabetes group and rosiglitazone group were down regulated at 6 week and 12 week.And protein expression in diabetes group was down regulated than that in rosiglitazone group .Conclusions Rosiglization can ease the endothelial dysfunction in type 2 diabetes rat.

Design of outpatient appointment system based on ASP.NET / 医疗卫生装备

Objective To design an outpatient appointment system based on ASP.NET which gains advantages over the existing system in database stability,functional module integrity and interface friendliness.Methods The ASP.NET-based system was developed with Microsoft Visual Studio 2010 as the platform,Microsoft SQL Server 2005 to create data and kinds of components to establish database and application interface.Results The system enhanced hospital registration and patient satisfaction.Conclusion The system is worthy promoting for outpatient appointment in the hospital.

Design of outpatient appointment system based on ASP.NET / 医疗卫生装备

Objective To design an outpatient appointment system based on ASP.NET which gains advantages over the existing system in database stability,functional module integrity and interface friendliness.Methods The ASP.NET-based system was developed with Microsoft Visual Studio 2010 as the platform,Microsoft SQL Server 2005 to create data and kinds of components to establish database and application interface.Results The system enhanced hospital registration and patient satisfaction.Conclusion The system is worthy promoting for outpatient appointment in the hospital.

Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm.

In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. In order to decrease the computational costs of superpixel algorithms, we adopt a fast two-step framework. In the first clustering stage, the DBSCAN algorithm with color-similarity and geometric restrictions is used to rapidly cluster the pixels, and then, small clusters are merged into superpixels by their neighborhood through a distance measurement defined by color and spatial features in the second merging stage. A robust and simple distance function is defined for obtaining better superpixels in these two steps. The experimental results demonstrate that our real-time superpixel algorithm (50 frames/s) by the DBSCAN clustering outperforms the state-of-the-art superpixel segmentation methods in terms of both accuracy and efficiency.