目的:探讨地震灾区急性胰腺炎患者的疾病特征、治疗及预防。方法:回顾性分析“5·12”汶川大地震后一个月内从灾区转送到我科的14例急性胰腺炎患者的临床资料。结果:14例患者中轻症8例,重症6例;发病相关因素主要有:脂肪餐10例、胆囊结石6例、饮酒4例、高脂血症4例,其中合并两种因素者10例;经中西医结合非手术治疗尤其注重对患者的心理治疗和护理后,痊愈12例,好转2例。结论: 地震灾区急性胰腺炎的发生有其不同特征,饮食成为首发因素;心理因素可能影响疾病的发生和发展演变;防治方面应注重对患者的心理治疗和护理。这有助于今后对地震灾区急性胰腺炎的预防和处理。
With inherent sparse spike-based coding and asynchronous event-driven computation, spiking neural network (SNN) is naturally suitable for processing event stream data of event cameras. In order to improve the feature extraction and classification performance of bio-inspired hierarchical SNNs, in this paper an event camera object recognition system based on biological synaptic plasticity is proposed. In our system input event streams were firstly segmented adaptively using spiking neuron potential to improve computational efficiency of the system. Multi-layer feature learning and classification are implemented by our bio-inspired hierarchical SNN with synaptic plasticity. After Gabor filter-based event-driven convolution layer which extracted primary visual features of event streams, we used a feature learning layer with unsupervised spiking timing dependent plasticity (STDP) rule to help the network extract frequent salient features, and a feature learning layer with reward-modulated STDP rule to help the network learn diagnostic features. The classification accuracies of the network proposed in this paper on the four benchmark event stream datasets were better than the existing bio-inspired hierarchical SNNs. Moreover, our method showed good classification ability for short event stream input data, and was robust to input event stream noise. The results show that our method can improve the feature extraction and classification performance of this kind of SNNs for event camera object recognition.
ObjectiveTo systematically review the associations of maternal diabetes mellitus with cleft lip and palate in offspring. MethodsThe PubMed, Embase, Cochrane Library, Web of Science, CNKI, VIP and WanFang Data databases were electronically searched to collect the observational studies on the association of maternal diabetes mellitus with cleft lip and palate in offspring from inception to June 30, 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 17.0 and RevMan 5.4 software. ResultsA total of 34 studies involving 2 556 911 participants were included. The results of meta-analysis showed that maternal pregestational diabetes mellitus was associated with an increased risk of cleft lip and palate in offspring (OR=1.91, 95%CI 1.59 to 2.30, P<0.01). Maternal type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) were also associated with an increased risk of cleft lip and palate in offspring (T1DM: OR=2.28, 95%CI 1.65 to 2.30, P<0.01; T2DM: OR=1.87, 95%CI 1.10 to 3.19, P<0.01). There was no correlation between maternal gestational diabetes mellitus and cleft lip and palate in offspring. ConclusionCurrent evidence shows that maternal pregestational diabetes mellitus was associated with an increased incidence of cleft lip and palate in offspring. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To detect the expression of copine 1 (CPNE1) in the gastric cancer (GC) and investigate its association with prognosis. MethodsThe clinicopathologic data of 121 patients who underwent radical gastrectomy in the Department of General Surgery, The 940th Hospital of Joint Logistics Support Force of Chinese People’s Liberation Army from March 2017 to December 2018 were retrospectively collected. The protein expression of CPNE1 in the GC tissues was detected by immunohistochemical (IHC) staining, and its association with prognosis was analyzed. GC tissues and adjacent tissues samples from 16 patients in the same time were prospectively collected, and the mRNA and protein expressions of CPNE1 were detected by real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) and Western blot (WB), respectively. Multivariate Cox proportional hazards regression model was used to analyze the prognostic factors of GC patients. ResultsIHC staining results showed that the CPNE1 was mainly expressed in the cell membrane and cytoplasm of gastric epithelial cells, and the color showed different degrees of brown. Among the 121 patients, 70 (57.9%) had high CPNE1 protein expression and 51 (42.1%) had low CPNE1 protein expression. The RT-qPCR and WB results of 16 pairs of fresh tissue specimens showed that the expression levels of CPNE1 mRNA and protein in the GC tissues were higher than those in the corresponding adjacent tissues (CPNE1 mRNA mean value: 1.451 vs. 1.100, P=0.048; CPNE1 protein mean value: 0.995 vs. 0.521, P=0.001). The multivariate Cox proportional hazards regression analysis showed that the high protein expression of CPNE1 [HR (95%CI)=1.931 (1.123, 3.321), P=0.017] was the risk factor affecting the prognosis of the patients with GC. ConclusionCPNE1 highly expresses in GC tissues and is associated with a poor prognosis in patients with GC, and it may be a potential tumor biomarker.