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1.
IEEE Trans Image Process ; 30: 8439-8453, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34609942

RESUMO

With advances in rendering techniques and generative adversarial networks, computer-generated (CG) images tend to be indistinguishable from photographic (PG) images. Revisiting previous works towards CG image forensic, we observed that existing datasets are constructed years ago and limited in both quantity and diversity. Besides, current algorithms only consider the global visual features for forensic, ignoring finer differences between CG and PG images. To mitigate these problems, we first contribute a Large-Scale CG images Benchmark (LSCGB), and then propose a simple yet strong baseline model to address the forensic task. On the one hand, the introduced benchmark has three superior properties, 1) large-scale: the benchmark contains 71168 CG and 71168 PG images with the corresponding expert-annotated labels. It is orders of magnitude bigger than previous datasets. 2) high diversity: we collect CG images from 4 different scenes generated by various rendering techniques. The PG images are varied in terms of image content, camera models, and photographer styles. 3) small bias: we carefully filter the collected images to ensure that the distributions of color, brightness, tone and saturation between CG and PG images are close. Furthermore, inspired by an empirical study on texture difference between CG and PG images, an effective texture-aware network is proposed to improve forensic accuracy. Concretely, we first strengthen texture information of multilevel features extracted from a backbone. Then, the relations among feature channels are explored by learning its gram matrix. Each feature channel represents a specific texture pattern. The gram matrix is thus able to embed the finer texture differences. Experimental results demonstrate that this baseline surpasses the existing methods. The benchmark is publically available at https://github.com/wmbai/LSCGB.

2.
Artigo em Inglês | MEDLINE | ID: mdl-34618673

RESUMO

Pixelwise single object tracking is challenging due to the competition of running speeds and segmentation accuracy. Current state-of-the-art real-time approaches seamlessly connect tracking and segmentation by sharing computation of the backbone network, e.g., SiamMask and D3S fork a light branch from the tracking model to predict segmentation mask. Although efficient, directly reusing features from tracking networks may harm the segmentation accuracy, since background clutter in the backbone feature tends to introduce false positives in segmentation. To mitigate this problem, we propose a unified tracking-retrieval-segmentation framework consisting of an attention retrieval network (ARN) and an iterative feedback network (IFN). Instead of segmenting the target inside the bounding box, the proposed framework performs soft spatial constraints on backbone features to obtain an accurate global segmentation map. Concretely, in ARN, a look-up-table (LUT) is first built by sufficiently using the information of the first frame. By retrieving it, a target-aware attention map is generated to suppress the negative influence of background clutter. To ulteriorly refine the contour of the segmentation, IFN iteratively enhances the features at different resolutions by taking the predicted mask as feedback guidance. Our framework sets a new state of the art on the recent pixelwise tracking benchmark VOT2020 and runs at 40 fps. Notably, the proposed model surpasses SiamMask by 11.7/4.2/5.5 points on VOT2020, DAVIS2016, and DAVIS2017, respectively. Code is available at https://github.com/JudasDie/SOTS.

3.
Medicine (Baltimore) ; 100(35): e26918, 2021 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-34477122

RESUMO

BACKGROUND: Radical pancreaticoduodenectomy is the only possible cure for pancreatic head adenocarcinoma, and although several RCT studies have suggested the extent of lymph node dissection, this issue remains controversial. This article wanted to evaluate the survival benefit of different lymph node dissection extent for radical surgical treatment of pancreatic head adenocarcinoma. METHODS: A total of 240 patients were assessed for eligibility in the study, 212 of whom were randomly divided into standard lymphadenectomy group (SG) or extended lymphadenectomy group (EG), there were 97 patients in SG and 95 patients in EG receiving the radical pancreaticoduodenectomy. RESULT: The demography, histopathology and clinical characteristics were similar between the 2 groups. The 2-year overall survival rate in the SG was higher than the EG (39.5% vs 25.3%; P = .034). The 2-year overall survival rate in the SG who received postoperative adjuvant chemotherapy was higher than the EG (60.7% vs 37.1%; P = .021). There was no significant difference in the overall incidence of complications between the 2 groups (P = .502). The overall recurrence rate in the SG and EG (70.7% vs 77.5%; P = .349), and the patterns of recurrence between 2 groups were no significant differences. CONCLUSION: In multimodality therapy system, the efficacy of chemotherapy should be based on the appropriate lymphadenectomy extent, and the standard extent of lymphadenectomy is optimal for resectable pancreatic head adenocarcinoma. The postoperative slowing of peripheral blood lymphocyte recovery might be 1 of the reasons why extended lymphadenectomy did not result in survival benefits. CLINICAL TRIAL REGISTRATION: This trial was registered at ClinicalTrials.gov (NCT02928081) in October 7, 2016. https://clinicaltrials.gov/.


Assuntos
Adenoma/cirurgia , Excisão de Linfonodo/normas , Neoplasias Pancreáticas/cirurgia , Adenoma/epidemiologia , Adenoma/mortalidade , Idoso , Distribuição de Qui-Quadrado , Feminino , Humanos , Excisão de Linfonodo/métodos , Excisão de Linfonodo/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Neoplasias Pancreáticas/epidemiologia , Neoplasias Pancreáticas/mortalidade , Pancreaticoduodenectomia/métodos , Pancreaticoduodenectomia/normas , Pancreaticoduodenectomia/estatística & dados numéricos , Modelos de Riscos Proporcionais , Estudos Prospectivos , Método Simples-Cego
4.
Mol Med Rep ; 24(5)2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34435652

RESUMO

Cancer stem cells are closely associated with tumor metastasis or recurrence. According to previous literature reports, microRNA (miR)­26a has an inhibitory effect on head and neck squamous cell carcinoma (HNSCC), and the long non­coding RNA (lncRNA) non­coding RNA activated by DNA damage (NORAD) has been found to interact with miR­26a­5p. The present study aimed to investigate the regulation and mechanism of NORAD and miR­26a­5p in the epithelial­mesenchymal transition (EMT) of HNSCC stem cells. An ALDEFLUOR stem cell detection kit, a flow cytometer, a self­renewal ability test and western blotting were used to sort and identify HNSCC stem cells. The ENCORI website and a dual­luciferase assay were used to assess the relationship between genes. The mRNA and protein expression levels of NORAD, miR­26a­5p and EMT­related genes were detected via reverse transcription­quantitative PCR and western blotting. Functional experiments (MTT assay, flow cytometry, wound healing assay and Transwell assay) were conducted to analyze the effects of NORAD and miR­26a­5p on HNSCC stem cells. The successfully sorted aldehyde dehydrogenase (ALDH)+ cells had a self­renewal capacity and displayed upregulated expression levels of CD44, Oct­4 and Nanog. NORAD knockdown, achieved using small interfering (si)RNA, downregulated the expression levels of tumor markers in ALDH+ cells. siNORAD inhibited cell vitality, migration and invasion, as well as promoted apoptosis, increased the expression of epithelial cell markers and decreased the expression of interstitial cell markers in HNSCC stem cells. miR­26a­5p was a downstream gene of NORAD, and knockdown of miR­26a­5p partially offset the regulatory effect of siNORAD on HNSCC stem cells. Collectively, the present study demonstrated that NORAD knockdown attenuated the migration, invasion and EMT of HNSCC stem cells via miR­26a­5p.

5.
Artigo em Inglês | MEDLINE | ID: mdl-34314355

RESUMO

For CNN-based visual action recognition, the accuracy may be increased if local key action regions are focused on. The task of self-attention is to focus on key features and ignore irrelevant information. So, self-attention is useful for action recognition. However, current self-attention methods usually ignore correlations among local feature vectors at spatial positions in CNN feature maps. In this paper, we propose an interaction-aware self-attention model which can extract information about the interactions between feature vectors to learn attention maps. Since different layers in a network capture feature maps at different scales, we introduce a spatial pyramid with the feature maps at different layers for attention modeling. The multi-scale information is utilized to obtain more accurate attention scores. These attention scores are used to weight the local feature vectors of the feature maps and then calculate attentional feature maps. Since the number of feature maps input to the spatial pyramid attention layer is unrestricted, we easily extend this attention layer to a spatio-temporal version. Our model can be embedded in any general CNN to form a video-level attention network for action recognition. Experimental results show that our method achieves state-of-the-art results on the datasets UCF101, HMDB51, Kinetics-400, and untrimmed Charades.

6.
Artigo em Inglês | MEDLINE | ID: mdl-34185642

RESUMO

For weakly supervised object localization (WSOL), how to avoid the network focusing only on some small discriminative parts is a main challenge needed to solve. The widely-used Class Activation Mapping (CAM) based paradigm usually employs Adversarial Learning (AL) strategy to search more object parts by constantly hiding discovered object features, but the adversarial process is difficult to control. In this paper, we propose a novel CAM-based framework with Multi-scale Low-Discriminative Feature Reactivation (mLDFR) for WSOL. The mLDFR framework reactivates the low-discriminative object parts via bottom-up continuous feature maps recalibration and multi-scale object category mapping. Compared with the AL-based methods, our method fully improves the localization power of the network without damaging the classification power and can perform multi-instance localization, which are hard to achieve under the AL-based framework. Moreover, the mLDFR framework is flexible, and can be built on the top of various classical CNN backbones. Experimental results demonstrate the superiority of our method. With VGG16 as backbone, we achieve 46.96% Cls-Loc top1 err and 66.12% CorLoc on ILSVRC2014, 38.07% Cls-Loc top1 err and 75.04% CorLoc on CUB200-2011, surpassing the state-of-the-arts by a large margin.

7.
Artigo em Inglês | MEDLINE | ID: mdl-34033551

RESUMO

Since electroencephalogram (EEG) signals can truly reflect human emotional state, emotion recognition based on EEG has turned into a critical branch in the field of artificial intelligence. Aiming at the disparity of EEG signals in various emotional states, we propose a new deep learning model named three-dimension convolution attention neural network (3DCANN) for EEG emotion recognition in this paper. The 3DCANN model is composed of spatio-temporal feature extraction module and EEG channel attention weight learning module, which can extract the dynamic relation well among multi-channel EEG signals and the internal spatial relation of multi-channel EEG signals during continuous time period. In this model, the spatio-temporal features are fused with the weights of dual attention learning, and the fused features are input into softmax classifier for emotion classification. In addition, we utilize SJTU Emotion EEG Dataset (SEED) to appraise the feasibility and effectiveness of the proposed algorithm. Finally, experimental results display that the 3DCANN method has superior performance over the state-of-the-art models in EEG emotion recognition.

8.
Medicine (Baltimore) ; 100(10): e25029, 2021 Mar 12.
Artigo em Inglês | MEDLINE | ID: mdl-33725885

RESUMO

ABSTRACT: The main purpose is to compare the efficacy of cystogastrostomy (CG) and Roux-en-Y-type cystojejunostomy (RCJ) in the treatment of pancreatic pseudocyst (PPC), and to explore the risk factors of recurrence and complications after internal drainage.Two hundred eight patients undergoing either CG or RCJ for PPC Between January 1, 2013and February 1, 2019, at West China Hospital of Sichuan University were retrospectively analyzed. The cure rate, complication rate and related factors were compared between the 2 groups.Two hundred eight patients with PPC underwent either a CG (n = 119) or RCJ (n = 89). The median follow-up time was 42.7 months. Between the 2 cohorts, there were no significant differences in cure rate, reoperation rate, and mortality (all P > .05). The operative time, estimated intraoperative blood loss, install the number of drainage tubes and total expenses in CG group were lower than those in RCJ group (all P < .05). The Logistic regression analysis showed that over twice of pancreatitis' occurrence was were independent risk factor for recurrence after internal drainage of PPC (OR 2.760, 95% CI 1.006∼7.571, P = .049). Short course of pancreatitis (OR 0.922, 95% CI 0.855∼0.994, P = .035), and RCJ (OR 2.319, 95% CI 1.033∼5.204, P = .041) were independent risk factors for complications after internal drainage of PPC.Both CG and RCJ are safe and effective surgical methods for treating PPC. There were no significant differences in cure rate, reoperation rate, and mortality between the 2 groups, while the CG group had a short operation time, less intraoperative bleeding and less cost.


Assuntos
Drenagem/métodos , Gastrostomia/métodos , Jejunostomia/métodos , Pseudocisto Pancreático/cirurgia , Pancreatite/epidemiologia , Complicações Pós-Operatórias/epidemiologia , Adulto , Anastomose em-Y de Roux/efeitos adversos , Perda Sanguínea Cirúrgica , Drenagem/efeitos adversos , Feminino , Gastrostomia/efeitos adversos , Humanos , Jejunostomia/efeitos adversos , Masculino , Pessoa de Meia-Idade , Duração da Cirurgia , Pseudocisto Pancreático/etiologia , Pseudocisto Pancreático/mortalidade , Pancreatite/complicações , Pancreatite/cirurgia , Complicações Pós-Operatórias/etiologia , Recidiva , Reoperação , Estudos Retrospectivos , Fatores de Risco , Resultado do Tratamento
9.
J Alzheimers Dis ; 80(2): 539-553, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33579844

RESUMO

BACKGROUND: The World Alzheimer Report has described and predicted the economic burden of Alzheimer's disease (AD) patients in detail for four consecutive years. There was a large-scale national survey in China launched by Professor Jianping Jia in 2015, but it did not adequately represent the average economic burden of AD patients in Zhejiang Province. OBJECTIVE: To investigate the economic burden and main factors influencing Alzheimer's disease (AD) in Zhejiang Province. METHODS: We recruited 830 patients from 10 cities in Zhejiang Province, evaluated their per capita and total cost related to AD treatment and care in 2017, and analyzed the main factors affecting economic burden from the perspective of demographic characteristics and disease severity. RESULTS: In 2017, per capita cost of AD was 114,343.7 yuan, while the total cost was 27.53 billion yuan, accounting for 0.77% of Zhejiang Province's GDP (5176.8 billion yuan). Total cost, direct medical cost, and indirect cost have different correlations with age, education level, type of work, marital status, comorbidity, and disease severity. CONCLUSION: The economic burden of AD in Zhejiang Province is heavy, similar to the national burden, and interventions based on demographic characteristics and disease severity can help reduce it.


Assuntos
Doença de Alzheimer/economia , Efeitos Psicossociais da Doença , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , China , Comorbidade , Escolaridade , Emprego , Feminino , Custos de Cuidados de Saúde , Humanos , Masculino , Estado Civil , Testes de Estado Mental e Demência , Pessoa de Meia-Idade , Fatores Socioeconômicos , Inquéritos e Questionários
10.
J Am Chem Soc ; 143(7): 2722-2728, 2021 02 24.
Artigo em Inglês | MEDLINE | ID: mdl-33560837

RESUMO

A palladium-catalyzed imidoylative cycloamidation of N-alkyl-2-isocyanobenzamides with 2,6-disubstituted aryl iodides, affording unprecedented axially chiral 2-arylquinazolinones, has been developed with good yields and atroposelectivities. In this coupling-cyclization process, the biaryl linkage and the heteroaromatic ring are formed sequentially in one step. When N-(2,4-dimethoxyphenyl)-2-isocyanobenzamide is applied as a substrate, 2,3-diarylquinazolinones containing two stereogenic axes are produced with moderate diastereoselectivity and good enantioselectivities.

11.
Popul Health Manag ; 24(3): 333-337, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32780631

RESUMO

Social isolation among individuals ages 65 years and older is associated with poor health outcomes. However, little is known about health care utilization patterns of socially isolated individuals. This retrospective, observational study evaluated associations between social isolation and hospital and emergency department (ED) utilization among Medicare patients ages 65 years and older. In a cohort of 18,557 Medicare members age 65 years and older at Kaiser Permanente Northwest, the authors compared rates of hospitalization and ED visits in the 12 months following a baseline survey between respondents who reported feeling lonely or socially isolated and those who did not, controlling for demographic and health variables and utilization in the 12 months prior to the survey. Statistical analysis was conducted in February 2020. In adjusted models, those who reported "sometimes" experiencing social isolation were more likely to have at least 1 hospital admission (odds ratio [ORsometimes]: 1.17, 95% confidence interval [CI]: 1.01-1.35, P = 0.04), than those who "rarely" or "never" experienced social isolation. Those who experienced social isolation "sometimes" or "often/always" were more likely to have at least 1 ED visit (ORsometimes: 1.28, 95% CI: 1.15-1.41, P < 0.0001, and ORoften/always: 1.51, 95% CI: 1.25-1.84, P < 0.0001, respectively) than those who "rarely" or "never" experienced social isolation. These findings suggest that self-reported social isolation may be predictive of future hospital admissions and ED utilization. Research is needed to determine how addressing social isolation needs within the health care system affects health care utilization and health outcomes.

12.
Genes (Basel) ; 11(12)2020 12 15.
Artigo em Inglês | MEDLINE | ID: mdl-33333784

RESUMO

Genetic resistance remains a key component in integrated pest management systems. The cosmopolitan root-knot nematode (RKN; Meloidogyne spp.) proves a significant management challenge as virulence and pathogenicity vary among and within species. RKN greatly reduces commercial bell pepper yield, and breeding programs continuously develop cultivars to emerging nematode threats. However, there is a lack of knowledge concerning the nature and forms of nematode resistance. Defining how resistant and susceptible pepper cultivars mount defenses against RKN attacks can help inform breeding programs. Here, we characterized the transcriptional responses of the highly related resistant (Charleston Belle) and susceptible (Keystone Resistance Giant) pepper cultivars throughout early nematode infection stages. Comprehensive transcriptomic sequencing of resistant and susceptible cultivar roots with or without Meloidogyneincognita infection over three-time points; covering early penetration (1-day), through feeding site maintenance (7-days post-inoculation), produced > 300 million high quality reads. Close examination of chromosome P9, on which nematode resistance hotspots are located, showed more differentially expressed genes were upregulated in resistant cultivar at day 1 when compared to the susceptible cultivar. Our comprehensive approach to transcriptomic profiling of pepper resistance revealed novel insights into how RKN causes disease and the plant responses mounted to counter nematode attack. This work broadens the definition of resistance from a single loci concept to a more complex array of interrelated pathways. Focus on these pathways in breeding programs may provide more sustainable and enduring forms of resistance.


Assuntos
Capsicum/genética , Perfilação da Expressão Gênica , Doenças das Plantas/genética , Tylenchoidea , Animais , Capsicum/parasitologia , Cromossomos de Plantas/genética , Resistência à Doença/genética , Regulação da Expressão Gênica de Plantas , Ontologia Genética , Genes de Plantas , Melhoramento Vegetal , Doenças das Plantas/parasitologia , Proteínas de Plantas/biossíntese , Proteínas de Plantas/genética , Análise de Componente Principal , RNA de Plantas/biossíntese , RNA de Plantas/genética
13.
Artigo em Inglês | MEDLINE | ID: mdl-33136545

RESUMO

Model compression methods have become popular in recent years, which aim to alleviate the heavy load of deep neural networks (DNNs) in real-world applications. However, most of the existing compression methods have two limitations: 1) they usually adopt a cumbersome process, including pretraining, training with a sparsity constraint, pruning/decomposition, and fine-tuning. Moreover, the last three stages are usually iterated multiple times. 2) The models are pretrained under explicit sparsity or low-rank assumptions, which are difficult to guarantee wide appropriateness. In this article, we propose an efficient decomposition and pruning (EDP) scheme via constructing a compressed-aware block that can automatically minimize the rank of the weight matrix and identify the redundant channels. Specifically, we embed the compressed-aware block by decomposing one network layer into two layers: a new weight matrix layer and a coefficient matrix layer. By imposing regularizers on the coefficient matrix, the new weight matrix learns to become a low-rank basis weight, and its corresponding channels become sparse. In this way, the proposed compressed-aware block simultaneously achieves low-rank decomposition and channel pruning by only one single data-driven training stage. Moreover, the network of architecture is further compressed and optimized by a novel Pruning & Merging (PM) module which prunes redundant channels and merges redundant decomposed layers. Experimental results (17 competitors) on different data sets and networks demonstrate that the proposed EDP achieves a high compression ratio with acceptable accuracy degradation and outperforms state-of-the-arts on compression rate, accuracy, inference time, and run-time memory.

14.
Plant Cell ; 32(12): 3939-3960, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-33004618

RESUMO

Phosphatidylinositol 3-phosphate (PI3P) is an essential membrane signature for both autophagy and endosomal sorting that is synthesized in plants by the class III phosphatidylinositol 3-kinase (PI3K) complex, consisting of the VPS34 kinase, together with ATG6, VPS15, and either VPS38 or ATG14 as the fourth subunit. Although Arabidopsis (Arabidopsis thaliana) plants missing the three core subunits are infertile, vps38 mutants are viable but have aberrant leaf, root, and seed development, Suc sensing, and endosomal trafficking, suggesting that VPS38 and ATG14 are nonredundant. Here, we evaluated the role of ATG14 through a collection of clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 and T-DNA insertion mutants disrupting the two Arabidopsis paralogs. atg14a atg14b double mutants were relatively normal phenotypically but displayed pronounced autophagy defects, including reduced accumulation of autophagic bodies and cargo delivery during nutrient stress. Unexpectedly, homozygous atg14a atg14b vps38 triple mutants were viable but showed severely compromised rosette development and reduced fecundity, pollen germination, and autophagy, consistent with a need for both ATG14 and VPS38 to fully actuate PI3P biology. However, the triple mutants still accumulated PI3P, but they were hypersensitive to the PI3K inhibitor wortmannin, indicating that the ATG14/VPS38 component is not essential for PI3P synthesis. Collectively, the ATG14/VPS38 mutant collection now permits the study of plants altered in specific aspects of PI3P biology.


Assuntos
Proteínas de Arabidopsis/metabolismo , Arabidopsis/genética , Proteínas Relacionadas à Autofagia/metabolismo , Autofagia , Fosfatidilinositol 3-Quinases/metabolismo , Proteínas de Transporte Vesicular/metabolismo , Arabidopsis/fisiologia , Proteínas de Arabidopsis/genética , Proteínas Relacionadas à Autofagia/genética , Mutação , Fosfatidilinositol 3-Quinases/genética , Inibidores de Proteínas Quinases/farmacologia , Transporte Proteico , Proteínas de Transporte Vesicular/genética , Wortmanina/farmacologia
15.
Org Lett ; 22(21): 8188-8192, 2020 11 06.
Artigo em Inglês | MEDLINE | ID: mdl-33052680

RESUMO

A palladium-catalyzed domino process for the quick assembly of tricyclic-fused heterocycles starting from aryl iodides and functionalized isocyanides containing a disubstituted terminal alkene has been developed. The process is triggered by intermolecular isocyanide insertion, followed by Heck-type carbopalladation of the intramolecular alkene moiety and subsequent C(sp2)-H activation. Moreover, an asymmetric version of this reaction could also be realized in good yield with moderate enantioselectivity after preliminary exploration of chiral ligands.

16.
Sci Rep ; 10(1): 17896, 2020 10 21.
Artigo em Inglês | MEDLINE | ID: mdl-33087777

RESUMO

Postoperative pancreatic fistula (POPF) is the most serious complication after pancreaticoduodenectomy (PD). Recently, Blumgart anastomosis (BA) has been found to have some advantages in terms of decreasing POPF compared with other pancreaticojejunostomy (PJ) using either the duct-to-mucosa or invagination approach. Therefore, the aim of this study was to examine the safety and effectiveness of BA versus non-Blumgart anastomosis after PD. The PubMed, EMBASE, Web of Science and the Cochrane Central Library were systematically searched for studies published from January 2000 to March 2020. One RCT and ten retrospective comparative studies were included with 2412 patients, of whom 1155 (47.9%) underwent BA and 1257 (52.1%) underwent non-Blumgart anastomosis. BA was associated with significantly lower rates of grade B/C POPF (OR 0.38, 0.22 to 0.65; P = 0.004) than non-Blumgart anastomosis. Additionally, in the subgroup analysis, the grade B/C POPF was also reduced in BA group than the Kakita anastomosis group. There was no significant difference regarding grade B/C POPF in terms of soft pancreatic texture between the BA and non-Blumgart anastomosis groups. In conclusion, BA after PD was associated with a decreased risk of grade B/C POPF. Therefore, BA seems to be a valuable PJ to reduce POPF comparing with non-Blumgart anastomosis.


Assuntos
Anastomose Cirúrgica/métodos , Fístula Pancreática/prevenção & controle , Pancreaticoduodenectomia/efeitos adversos , Pancreaticoduodenectomia/métodos , Complicações Pós-Operatórias/prevenção & controle , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Fístula Pancreática/epidemiologia , Fístula Pancreática/etiologia , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Resultado do Tratamento , Adulto Jovem
17.
Exp Ther Med ; 19(5): 3384-3390, 2020 May.
Artigo em Inglês | MEDLINE | ID: mdl-32266037

RESUMO

MicroRNAs (miRNAs) are reported to play a critical role in the regulation of cancer cell proliferation; however, the role of microRNA-25 (miR-25) in pancreatic ductal adenocarcinoma (PDAC) remains unclear. In the present study, the role of miR-25 in PDAC cell proliferation was investigated. Upregulated expression of miR-25 was found in PDAC tissues and cell lines by reverse transcription-quantitative PCR. Cell proliferation was significantly enhanced by overexpression of miR-25 as shown by CCK-8 assay results. Meanwhile, overexpression of miR-25 also promoted G1-to-S phase transition of the cell cycle in Aspc-1 cells via flow cytometry analysis. However downregulation of miR-25 inhibited the tumor cell proliferation and cell cycle transition. Online software was used to predict the target gene for miR-25 and luciferase reporter assay confirmed that Abl interactor 2 (ABI2) was a target of miR-25 via direct binding of its 3' untranslated region with miR-25. Moreover, results of the western blot analysis demonstrated that miR-25 negatively regulated the expression of ABI2 at the protein level. In addition, introduction of ABI2 mRNA into cells overexpressing miR-25 attenuated the carcinogenic effects of miR-25. In conclusion, these findings demonstrate that miR-25 plays an oncogenic role and promotive role in PDAC cell proliferation via targeting of ABI2.

18.
Artigo em Inglês | MEDLINE | ID: mdl-32275599

RESUMO

Convolutional Neural Networks have achieved excellent successes for object recognition in still images. However, the improvement of Convolutional Neural Networks over the traditional methods for recognizing actions in videos is not so significant, because the raw videos usually have much more redundant or irrelevant information than still images. In this paper, we propose a Spatial-Temporal Attentive Convolutional Neural Network (STA-CNN) which selects the discriminative temporal segments and focuses on the informative spatial regions automatically. The STA-CNN model incorporates a Temporal Attention Mechanism and a Spatial Attention Mechanism into a unified convolutional network to recognize actions in videos. The novel Temporal Attention Mechanism automatically mines the discriminative temporal segments from long and noisy videos. The Spatial Attention Mechanism firstly exploits the instantaneous motion information in optical flow features to locate the motion salient regions and it is then trained by an auxiliary classification loss with a Global Average Pooling layer to focus on the discriminative non-motion regions in the video frame. The STA-CNN model achieves the state-of-the-art performance on two of the most challenging datasets, UCF-101 (95.8%) and HMDB-51 (71.5%).

19.
Artigo em Inglês | MEDLINE | ID: mdl-32286989

RESUMO

Convolutional neural networks are built upon simple but useful convolution modules. The traditional convolution has a limitation on feature extraction and object localization due to its fixed scale and geometric structure. Besides, the loss of spatial information also restricts the networks' performance and depth. To overcome these limitations, this paper proposes a novel anisotropic convolution by adding a scale factor and a shape factor into the traditional convolution. The anisotropic convolution augments the receptive fields flexibly and dynamically depending on the valid sizes of objects. In addition, the anisotropic convolution is a generalized convolution. The traditional convolution, dilated convolution and deformable convolution can be viewed as its special cases. Furthermore, in order to improve the training efficiency and avoid falling into a local optimum, this paper introduces a simplified implementation of the anisotropic convolution. The anisotropic convolution can be applied to arbitrary convolutional networks and the enhanced networks are called ACNs (anisotropic convolutional networks). Experimental results show that ACNs achieve better performance than many state-of-the-art methods and the baseline networks in tasks of image classification and object localization, especially in classification task of tiny images.

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