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红外弱小目标检测技术是红外搜索与跟踪、红外预警、红外制导等防御和武器系统中的一项核心技术。研究复杂背景条件下的红外弱小目标检测技术,有利于提高红外探测系统的探测灵敏度,对增大系统作用距离、增加反应时间、提高己方的生存概率具有重要的意义。 本文针对复杂背景下的红外弱小目标检测技术进行了三个方面的研究: 1、 从红外成像系统方面对红外焦平面阵列的非均匀性校正问题进行研究。本文结合红外焦平面阵列的非线性模型(“S”形曲线模型)和Kalman滤波器,提出一种新的基于Kalman滤波的改进型两点校正法,该算法具有“S”形曲线两点校正法的处理简单、计算精度高等特点,同时利用Kalman滤波器对校正参数进行估计和修正,解决了“参数漂移”问题。实验仿真的结果表明,该算法能较好的对红外焦平面阵列进行非均匀校正。 2、 本文从红外图像预处理方面对红外背景抑制技术进行研究。针对传统的背景抑制算法难以解决的杂波干扰问题,本文提出了一种基于局部统计信息变化的自适应杂波抑制算法AFBLS(Adaptive Filter Based on Local Statistic),该算法能够对目标进行灰度增强,同时对杂波进行抑制。AFBLS算法结合传统的背景抑制算法,可以有效的对红外背景和杂波干扰进行抑制。对红外图像进行实验仿真的结论是:AFBLS杂波抑制算法是一种较好的红外弱小目标图像预处理方法,它能有效提高已有背景抑制算法的性能。 3、 本文对红外弱小目标检测算法进行了研究。分析了经典的管道算法的不足之处,并在此基础上对其进行改进,提出了动态更新的管道检测算法。通过仿真实验我们验证了改进的管道算法的性能,实验结果表明,该算法能够有效的对信噪比SNR(Signal-to-Noise Ratio)大于2的序列图像进行目标检测。

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A new man-made target tracking algorithm integrating features from (Forward Looking InfraRed) image sequence is presented based on particle filter. Firstly, a multiscale fractal feature is used to enhance targets in FLIR images. Secondly, the gray space feature is defined by Bhattacharyya distance between intensity histograms of the reference target and a sample target from MFF (Multi-scale Fractal Feature) image. Thirdly, the motion feature is obtained by differencing between two MFF images. Fourthly, a fusion coefficient can be automatically obtained by online feature selection method for features integrating based on fuzzy logic. Finally, a particle filtering framework is developed to fulfill the target tracking. Experimental results have shown that the proposed algorithm can accurately track weak or small man-made target in FLIR images with complicated background. The algorithm is effective, robust and satisfied to real time tracking.

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The matched filter method for detecting a periodic structure on a surface hidden behind randomness is known to detect up to (r(0)/Lambda) gt;= 0.11, where r(0) is the coherence length of light on scattering from the rough part and 3 is the wavelength of the periodic part of the surface-the above limit being much lower than what is allowed by conventional detection methods. The primary goal of this technique is the detection and characterization of the periodic structure hidden behind randomness without the use of any complicated experimental or computational procedures. This paper examines this detection procedure for various values of the amplitude a of the periodic part beginning from a = 0 to small finite values of a. We thus address the importance of the following quantities: `(a)lambda) `, which scales the amplitude of the periodic part with the wavelength of light, and (r(0))Lambda),in determining the detectability of the intensity peaks.

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An effective face detection system used for detecting multi pose frontal face in gray images is presented. Image preprocessing approaches are applied to reduce the influence of the complex illumination. Eye-analog pairing and improved multiple related template matching are used to glancing and accurate face detecting, respectively. To shorten the time cost of detecting process, we employ prejudge rules in checking candidate image segments before template matching. Test by our own face database with complicated illumination and background, the system has high calculation speed and illumination independency, and obtains good experimental results.

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BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a common cause of complicated skin and skin-structure infection (cSSSI). Increasing antimicrobial resistance in cSSSI has led to a need for new safe and effective therapies. Ceftaroline was evaluated as treatment for cSSSI in 2 identical phase 3 clinical trials, the pooled analysis of which is presented here. The primary objective of each trial was to determine the noninferiority of the clinical cure rate achieved with ceftaroline monotherapy, compared with that achieved with vancomycin plus aztreonam combination therapy, in the clinically evaluable (CE) and modified intent-to-treat (MITT) patient populations. METHODS: Adult patients with cSSSI requiring intravenous therapy received ceftaroline (600 mg every 12 h) or vancomycin plus aztreonam (1 g each every 12 h) for 5-14 days. RESULTS: Of 1378 patients enrolled in both trials, 693 received ceftaroline and 685 received vancomycin plus aztreonam. Baseline characteristics of the treatment groups were comparable. Clinical cure rates were similar for ceftaroline and vancomycin plus aztreonam in the CE (91.6% vs 92.7%) and MITT (85.9% vs 85.5%) populations, respectively, as well as in patients infected with MRSA (93.4% vs 94.3%). The rates of adverse events, discontinuations because of an adverse event, serious adverse events, and death also were similar between treatment groups. CONCLUSIONS: Ceftaroline achieved high clinical cure rates, was efficacious against cSSSI caused by MRSA and other common cSSSI pathogens, and was well tolerated, with a safety profile consistent with the cephalosporin class. Ceftaroline has the potential to provide a monotherapy alternative for the treatment of cSSSI. TRIAL REGISTRATION: ClinicalTrials.gov identifiers: NCT00424190 for CANVAS 1 and NCT00423657 for CANVAS 2.

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Background: Intermediate care (IC) describes a range of services targeted at older people, aimed at preventing unnecessary hospitalisation, promoting faster recovery from illness and maximising independence. Older people are at increased risk of medication-related adverse events, but little is known about the provision of medicines management services in IC facilities. This study aimed to describe the current provision of medicines management services in IC facilities in Northern Ireland (NI) and to explore healthcare workers' (HCWs) and patients' views of, and attitudes towards these services and the IC concept. 

Methods: Semi-structured interviews were conducted, recorded, transcribed verbatim and analysed using a constant comparative approach with HCWs and patients from IC facilities in NI. 

Results: Interviews were conducted with 25 HCWs and 18 patients from 12 IC facilities in NI. Three themes were identified: 'concept and reality', 'setting and supply' and 'responsibility and review'. A mismatch between the concept of IC and the reality was evident. The IC facility setting dictated prescribing responsibilities and the supply of medicines, presenting challenges for HCWs. A lack of a standardised approach to responsibility for the provision of medicines management services including clinical review was identified. Whilst pharmacists were not considered part of the multidisciplinary team, most HCWs recognised a need for their input. Medicines management was not a concern for the majority of IC patients. 

Conclusions: Medicines management services are not integral to IC and medicine-related challenges are frequently encountered. Integration of pharmacists into the multidisciplinary team could potentially improve medicines management in IC.

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BACKGROUND: Nosocomially acquired respiratory syncytial virus infections (RSV-NI) may cause serious problems in hospitalized paediatric patients. Hitherto, prospectively collected representative data on RSV-NI from multicenter studies in Germany are limited. METHODS: The DMS RSV Ped database was designed for the prospective multicenter documentation and analysis of clinically relevant aspects of the management of inpatients with RSV-infection. The study covered six consecutive seasons (1999-2005); the surveillance took place in 14 paediatric hospitals in Germany. RESULTS: Of the 1568 prospectively documented RSV-infections, 6% (n=90) were NI and 94% (n=1478) were community acquired (CA). A significantly higher proportion in the NI group displayed additional risk factors like prematurity, chronic lung disease, mechanical ventilation (med. history), congenital heart disease, and neuromuscular impairment. Of all NI, 55% occurred in preterms (30.6% of all RSV-infections in preterms with severe chronic lung disease of prematurity were NI). Illness severity as well as the total mortality, but not the attributable mortality was significantly higher in the NI group. In the multivariate analysis, NI was significantly associated with the combined outcome 'complicated course of disease'. CONCLUSION: This is the first prospective multicenter study from Germany, which confirms the increased risk of a severe clinical course in nosocomially acquired RSV-infection. Of great concern is the high rate of (preventable) NI in preterms, in particular in those with severe chronic lung disease or with mechanical ventilation due to other reasons.

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BACKGROUND: Respiratory syncytial virus (RSV) infection is an important cause of viral respiratory tract infection in children. In contrast to other confirmed risk factors that predispose to a higher morbidity and mortality, the particular risk of a preexisting neuromuscular impairment (NMI) in hospitalized children with RSV infection has not been prospectively studied in a multicenter trial. METHODS: The DMS RSV Paed database was designed for the prospective multicenter documentation and analysis of all clinically relevant aspects of the management of inpatients with RSV infection. Patients with clinically relevant NMI were identified according to the specific comments of the attending physicians and compared with those without NMI. RESULTS: This study covers 6 consecutive seasons; the surveillance took place in 14 pediatric hospitals in Germany from 1999 to 2005. In total, 1568 RSV infections were prospectively documented in 1541 pediatric patients. Of these, 73 (4.7%) patients displayed a clinically relevant NMI; 41 (56%) NMI patients had at least 1 additional risk factor for a severe course of the infection (multiple risk factors in some patients; prematurity in 30, congenital heart disease in 19, chronic lung disease 6 and immunodeficiency in 8). Median age at diagnosis was higher in NMI patients (14 vs. 5 months); NMI patients had a greater risk of seizures (15.1% vs. 1.6%), and a higher proportion in the NMI group had to be mechanically ventilated (9.6% vs. 1.9%). Eventually, the attributable mortality was significantly higher in the NMI group (5.5% vs. 0.2%; P < 0.001 for all). Multivariate logistic regression confirmed that NMI was independently associated with pediatric intensive care unit (PICU) admission (OR, 4.94; 95% CI, 2.69-8.94; P < 0.001] and mechanical ventilation (OR, 3.85; 95% CI, 1.28-10.22; P = 0.017). CONCLUSION: This is the first prospective multicenter study confirming the hypothesis that children with clinically relevant NMI face an increased risk for severe RSV-disease. It seems reasonable to include NMI as a cofactor into the decision algorithm of passive immunization.

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BACKGROUND ; AIMS: Selective cyclooxygenase-2 inhibitors were developed to reduce the gastrointestinal risk associated with nonsteroidal anti-inflammatory drugs (NSAIDs). The Therapeutic Arthritis Research and Gastrointestinal Event Trial was the largest study to evaluate primarily the gastrointestinal safety outcomes of selective cyclooxygenase-2 inhibitors. Data from the Therapeutic Arthritis Research and Gastrointestinal Event Trial were used to identify risk factors and investigate the safety of lumiracoxib in subgroups. METHODS: Patients with osteoarthritis (age, >or=50 y) were randomized to receive lumiracoxib 400 mg once daily, naproxen 500 mg twice daily, or ibuprofen 800 mg 3 times daily for 12 months. Events were categorized by a blinded adjudication committee. The primary end point was all definite or probable ulcer complications. RESULTS: For patients taking NSAIDs, factors associated with an increased risk of ulcer complications were age 65 years or older (hazard ratio [HR], 2.30; 95% confidence interval [CI], 1.48-3.59), previous history of gastrointestinal bleed or ulcer (HR, 3.61; 95% CI, 1.86-7.00), non-Caucasian racial origin (HR, 2.10; 95% CI, 1.35-3.27), and male sex (HR, 1.70; 95% CI, 1.08-2.68). With lumiracoxib, significant risk factors were age 65 years or older (HR, 3.18; 95% CI, 1.40-7.20), male sex (HR, 2.60; 95% CI, 1.25-5.40), non-Caucasian racial origin (HR, 2.16; 95% CI, 1.02-4.59), and concomitant aspirin use (HR, 2.89; 95% CI, 1.40-5.97). Increased risks in patients age 65 years and older were increased further if other risk factors were present. Lumiracoxib maintained an advantage over NSAIDs across all subgroups except aspirin use. CONCLUSIONS: Lumiracoxib was associated with a reduced risk of ulcer complications compared with NSAIDs in all significant subgroups except aspirin users.

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BACKGROUND: Heavier than water tamponades offer the possibility to support the inferior part of the fundus after retinal detachment. The aim of this study was to evaluate the anatomic and functional outcome of complicated retinal detachment treated with vitreous surgery and heavy silicone oil (HSO) tamponade. Surgery was performed in eyes with rhegmatogenous retinal detachment (RD) predominantly in the lower hemisphere or with penetrating injury (either as primary intervention or after development of proliferative vitreoretinopathy [PVR]). MATERIALS AND METHODS: Sixty-one eyes of 61 patients with RD - mostly complicated by PVR - and a minimum follow-up of 12 months were included in this study. Vitreoretinal surgery with HSO (Oxane HD) tamponade was performed in all patients. In 52 patients, heavy silicone oil was used in the management of complicated RD. 9 patients had surgery for complicated RD after penetrating eye injury.The mean follow-up period was 30.3 +/- 10.2 months. RESULTS: The overall final anatomic success rate was 79 %. In 39 % of the cases the retina remained attached during the entire follow-up period. CONCLUSIONS: The anatomic success rate after surgery with HSO (Oxane HD) was relatively low; however, only complex cases bearing a higher risk of retinal re-detachment received HSO in this study. Oxane HD does not appear to have major advantages compared to conventional silicone oil or other new-generation heavy silicone oils in these cases.

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Network simulation is an indispensable tool for studying Internet-scale networks due to the heterogeneous structure, immense size and changing properties. It is crucial for network simulators to generate representative traffic, which is necessary for effectively evaluating next-generation network protocols and applications. With network simulation, we can make a distinction between foreground traffic, which is generated by the target applications the researchers intend to study and therefore must be simulated with high fidelity, and background traffic, which represents the network traffic that is generated by other applications and does not require significant accuracy. The background traffic has a significant impact on the foreground traffic, since it competes with the foreground traffic for network resources and therefore can drastically affect the behavior of the applications that produce the foreground traffic. This dissertation aims to provide a solution to meaningfully generate background traffic in three aspects. First is realism. Realistic traffic characterization plays an important role in determining the correct outcome of the simulation studies. This work starts from enhancing an existing fluid background traffic model by removing its two unrealistic assumptions. The improved model can correctly reflect the network conditions in the reverse direction of the data traffic and can reproduce the traffic burstiness observed from measurements. Second is scalability. The trade-off between accuracy and scalability is a constant theme in background traffic modeling. This work presents a fast rate-based TCP (RTCP) traffic model, which originally used analytical models to represent TCP congestion control behavior. This model outperforms other existing traffic models in that it can correctly capture the overall TCP behavior and achieve a speedup of more than two orders of magnitude over the corresponding packet-oriented simulation. Third is network-wide traffic generation. Regardless of how detailed or scalable the models are, they mainly focus on how to generate traffic on one single link, which cannot be extended easily to studies of more complicated network scenarios. This work presents a cluster-based spatio-temporal background traffic generation model that considers spatial and temporal traffic characteristics as well as their correlations. The resulting model can be used effectively for the evaluation work in network studies.

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Network simulation is an indispensable tool for studying Internet-scale networks due to the heterogeneous structure, immense size and changing properties. It is crucial for network simulators to generate representative traffic, which is necessary for effectively evaluating next-generation network protocols and applications. With network simulation, we can make a distinction between foreground traffic, which is generated by the target applications the researchers intend to study and therefore must be simulated with high fidelity, and background traffic, which represents the network traffic that is generated by other applications and does not require significant accuracy. The background traffic has a significant impact on the foreground traffic, since it competes with the foreground traffic for network resources and therefore can drastically affect the behavior of the applications that produce the foreground traffic. This dissertation aims to provide a solution to meaningfully generate background traffic in three aspects. First is realism. Realistic traffic characterization plays an important role in determining the correct outcome of the simulation studies. This work starts from enhancing an existing fluid background traffic model by removing its two unrealistic assumptions. The improved model can correctly reflect the network conditions in the reverse direction of the data traffic and can reproduce the traffic burstiness observed from measurements. Second is scalability. The trade-off between accuracy and scalability is a constant theme in background traffic modeling. This work presents a fast rate-based TCP (RTCP) traffic model, which originally used analytical models to represent TCP congestion control behavior. This model outperforms other existing traffic models in that it can correctly capture the overall TCP behavior and achieve a speedup of more than two orders of magnitude over the corresponding packet-oriented simulation. Third is network-wide traffic generation. Regardless of how detailed or scalable the models are, they mainly focus on how to generate traffic on one single link, which cannot be extended easily to studies of more complicated network scenarios. This work presents a cluster-based spatio-temporal background traffic generation model that considers spatial and temporal traffic characteristics as well as their correlations. The resulting model can be used effectively for the evaluation work in network studies.

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Background: Although numerous studies and metanalysis have shown the beneficial effect of statin therapy in CVD secondary prevention, there is still controversy such the use of statins for primary CVD prevention in patients with DM. The purpose of this study was to evaluate the occurrence of total major adverse cardio-vascular events (MACE) in a cohort of patients with type 2 diabetes complicated by nephropathy treated with statins, in order to verify real life effect of statin on CVD primary prevention. Methods: We conducted an observational prospective multicenter study on 564 patients with type 2 diabetic nephropathy free of cardiovascular disease attending 21 national outpatient diabetes clinics and followed them up for 8 years. 169 of them were treated with statins (group A) while 395 were not on statins (group B). Results: Notably, none of the patients was treated with a high-intensity statin therapy according to last ADA position statement. Total MACE occurred in 32 patients from group A and in 68 patients from group B. Fatal MACE occurred in 13 patients from group A and in 30 from group B; nonfatal MACE occurred in 19 patients from group A and in 38 patients from group B. The analysis of the Kaplan-Meier survival curves showed a not statistically significant difference in the incidence of total (p 0.758), fatal (p 0.474) and nonfatal (p 0.812) MACE between the two groups. HbA1c only showed a significant difference in the incidence of MACE between the two groups (HR 1.201, CI 1.041-1.387, p 0.012). Conclusions: These findings suggest that, in a real clinical setting, moderate-intensity statin treatment is ineffective in cardiovascular primary prevention for patients with diabetic nephropathy.

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