NF-B-mediated transcriptional activation is controlled at several levels including interaction with coregulatory proteins.To identify new proteins capable of modulating NF-B-mediated activation, a cytoplasmic two-hybrid screen was performed using the p65 C-terminal transactivation domain as bait and identified the product of the DEK proto-oncogene. DEK is a ubiquitous nuclear protein that has been implicated in several types of cancer and autoimmune diseases. DEK appears to function in several nuclear processes including transcriptional repression and modulation of chromatin structure.

Objective: To investigate the clinical features of Clostridium difficile infection (CDI) in hospitalized patients with inflammatory bowel disease (IBD) and to analyze the impact of CDI on IBD.Methods: A prospective study on patients newly diagnosed with IBD was conducted at the IBD center at Sir Run Run Shaw Hospital from March 2015 to May 2016. Stool samples for anaerobic culture and polymerase chain reaction were used to test CDI and to detect the different toxins in the groups. The patients were followed up for 2 years.Results: Altogether 230 patients with IBD were enrolled, including 77 with ulcerative colitis (UC) and 153 with Crohn's disease (CD). The incidence rate of CDI was 13.9% (32/230). Patients with UC were more susceptible to CDI than those with CD (24.7% vs 8.5%, P < 0.01). Among UC patients, a long disease course, prior hospitalization, proton pump inhibitor use, and disease severity were associated with an increased risk of CDI (all P < 0.05). CDI prolonged hospital stay and increased the rate of longterm surgery rate in UC (both P < 0.05). Among patients with CD, CDI increased both short-and long-term surgery rates during the 2-year follow-up (P < 0.05) and increased repeated hospitalization in the follow-up study (odds ratio 2.41, P = 0.02).Conclusions: A high incidence rate of CDI in patients hospitalized with IBD was related with longer hospital stay and higher surgery rates in our center. Patients with UC are more vulnerable to CDI than those with CD. K E Y W O R D SClostridium difficile, Crohn disease, inflammatory bowel diseases, surgery, ulcerative colitis CDI can also influence the disease course of IBD, increase the healthcare costs, and is associated with a worse clinical outcome. 15,16 To our knowledge, few prospective long-term follow-up studies have been conducted to clarify the course of IBD patients infected with C. difficile either in China or worldwide. A recent study on the epidemiology of CDI in mainland China reported the CDI incidence rates of 12.7% in patients with Crohn's disease (CD) and 19.3% in those with ulcerative colitis (UC). 13 Many studies have found that IBD patients infected with C. difficile have several distinct characteristics when compared with non-IBD CDI patients, including being relatively young, the infection was more likely acquired in the community, and they had not been exposed to antibiotics or to long-term immunosuppressant or steroid therapy. 8,11,17,18 The aim of this prospective study was to evaluate the epidemiological characteristics of hospitalized IBD patients with CDI and to evaluate the impacts of CDI on IBD in our center.Relatively young age of the patients with IBD and outpatient groups with CDI were considered as possible reasons. In this study, antibiotic use was not an independent risk factor for CDI in patients with IBD, as it may be attributable to the short-term use of antibiotics and a relatively small percentage of patients who used antibiotics. Whether the use of glucocorticoids and immunosuppressants are risk factors of CDI in p...

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Multi-target detection is crucial in modern warfare.To illustrate the efficiency of NN in multi-target It is challenging to distinguish radar returns of multiple, detection, experimental data generated by following the separate targets from those of multiple reflection points on a method in [5] have been used to train a NN. The trained NN single target. Methods developed so far use straightforward can successfully utilizes vibration of the scattering centers to discrimination, which is computationally complex. In this paper, identify the location of the munitions inside the nose cone in we propose ideas to detect multi-targets by using the boost phase and coincidentally identify the type of missile electromagnetic modeling and neural networks (NNs). theat phas e noi senadded.Preliminary result for missile identification through NN is threat, evenreturnRCSs are noise added.presented for indicating the efficiency of NN for multi-target detection.II. PROPOSED TECHNIQUE To our knowledge, this is the first time to perform multi-I. INTRODUCTION targets detection by developing and using an inverse model, In modern warfare, it is important to effectively detect which is a NN trained to learn the relationship between radar multi-targets, which is challenging to distinguish radar return signals and simulated states. The reason for introducing returns of multiple, separate targets from those of multiple NN is that neural networks can be trained to learn any reflection points on a single target. Several methods have arbitrary nonlinear input-output relationships from been developed for this topic [1][2][3][4], which are successful to corresponding data. This has resulted in their use in a number som degree, but have their own limitations. All the of areas such as pattern recognition, speech processing, some degree, but have their own limitations. all those cotrl bi .eia eniern etc '6 methods use straight forward discrimination, which is control,bio-medical engineering etc. [6]. computationally complex. In [5], a method which does notThe flowchart of developing the emulator is shown in Fig. require high resolution and can potentially be retrofitted to 1 (a): many existing radars is explored for use against missiles. In i Return signals of all possible states of multi-targets this paper, ideas are proposed to realize the detection of and/or jammers from ANN will be generated using multi-targets by electromagnetic modeling and neural EM modeling, which will be described later. networks (NNs). The purpose of this research is to seek an efficient and accurate algorithm, which emulates multi-targets ii.Map radar signals into rational transfer functions and/or jammers signals by using an antenna array network using rational approximation techniques.(AAN). The RF signal to be simulated represents the received iii.Use coefficients of transfer functions generate from wave in front of a target (or targets), whose backscattered (ii) as inputs of the NN; states of multi-targets as return has been affected by interference from multiple ...