Adaptação digestiva com duodenal switch parcial em pacientes diabéticos e com IMC<35 Kg/m2. Análise da resposta clínica, laboratorial, enterohormonal e da expressão do gene p53 na mucosa intestinal

O diabetes mellitus tipo 2 (DM2) é uma doença de prevalência crescente na população mundial, sendo associado ao aumento de diversas comorbidades. A relação entre o trato digestivo e o DM2 tem sido fortalecida a partir dos resultados das diferentes cirurgias metabólicas frente à remissão do distúrbio endócrino. Alterações morfológicas hipertróficas no epitélio intestinal são percebidas nos estágios iniciais da doença e parece ter papel primordial na instalação da hiperglicemia crônica. O gene p53 participa ativamente dos processos de regulação do crescimento epitelial intestinal e pode sofrer alteração de sua expressão em estados diabéticos. Objetiva-se avaliar os resultados clínicos e laboratoriais de pacientes DM2 e com índice de Massa Corpórea (IMC) >25 e <35 Kg/m2 submetidos a cirurgia metabólica denominada adaptação digestiva com duodenal switch parcial (DSP) e avaliar o comportamento da expressão do gene p53 na mucosa intestinal no período pré e pós-operatório. Nove pacientes DM2, com IMC<35Kg/m2 foram operados pela técnica DSP. Biópsias de duodeno e íleo foram colhidas no estado diabético (pré e transoperatório respectivamente) e, 3 meses após a cirurgia, através de endoscopia digestiva alta. Foram comparados os dados de evolução antropométrica (IMC) e laboratorial no período pré e pós-operatório. Através do método enzyme-linked immunosorbent assay (ELISA) foram determinados os níveis dos entero-hormônios glucagon-like peptide-1 (GLP-1) e glucose-dependent insulinotropic peptide (GIP), no pré e pós-operatório, em jejum e pós-prandial nos períodos 30',60',90' e 120'. A expressão do gene p53, foi avaliada por real time polymerase chain reaction (qrt-PCR) e western blot, nos dois diferentes momentos. As variáveis: glicemia de jejum e pós-prandial (2 horas), trigliceridemia de jejum, hemoglobina glicada (HbAc1) e peptídeo C foram analisadas. As médias dos parâmetros laboratoriais foram comparadas pela análise multivariada ANOVA e após teste-Tukey. A média de expressão relativa do gene p53 foi comparada nos dois períodos pelo teste t-student. Os resultados evidenciaram que entre maio e dezembro de 2010, nove pacientes (4 homens, 5 mulheres) DM2 e com IMC entre 26 e 34Kg/m2 foram submetidos a DSP. A média de IMC do grupo operado foi de 31,3. Houve queda do IMC média de 23% após um ano. Houve queda significativa (p<0,05) nos níveis de triglicerídeos, glicemia de jejum e pós-prandial (2 horas), HbA1c assim como aumento do peptídeo-C (p<0,05), quando comparados os períodos pré e pós-operatório. Os níveis séricos de GLP-1 foram significativamente maiores no pós-operatório (p<0,05), tanto em jejum como pós-prandial sendo que houve diminuição dos níveis de GIP, contudo sem significância estatística. O gene p53 sofreu aumento significativo de sua expressão relativa (qrt-PCR)(p<0,05) no período pós-operatório na mucosa duodenal e uma tendência de aumento no íleo, contudo sem significância estatística. A análise da expressão ao nível proteico foi bem sucedida somente no íleo, também mostrando tendência de aumento. Concluí-se que a DSP foi capaz de controlar satisfatoriamente o DM2 em pacientes com IMC<35 Kg/m2. Houve aumento da secreção de GLP-1 e tendência de diminuição do GIP. Houve aumento da expressão do p53 na mucosa intestinal, no período pós-operatório, após o controle do diabetes, quando comparada ao período pré-operatório.

Different protein tyrosine phosphatase superfamilies resulting from different gene reading frames

Protein tyrosine phosphatases (PTPs) are comprised of two superfamilies, the phosphatase I superfamily containing a single low-molecular-weight PTP (lmwPTP) family and the phosphatase II superfamily including both the higher-molecular-weight PTP (hmwPTP) and the dual-specificity phosphatase (DSP) families. The phosphatase I and H superfamilies are often considered to be the result of convergent evolution. The PTP sequence and structure analyses indicate that lmwPTPs, hmwPTPs, and DSPs share similar structures, functions, and a common signature motif, although they have low sequence identities and a different order of active sites in sequence or a circular permutation. The results of this work suggest that lmwPTPs and hmwPTPs/DSPs are remotely related in evolution. The earliest ancestral gene of PTPs could be from a short fragment containing about 90similar to120 nucleotides or 30similar to40 residues; however, a probable full PTP ancestral gene contained one transcript unit with two lmwPTP genes. All three PTP families may have resulted from a common ancestral gene by a series of duplications, fusions, and circular permutations. The circular permutation in PTPs is caused by a reading frame difference, which is similar to that in DNA methyltransferases. Nevertheless, the evolutionary mechanism of circular permutation in PTP genes seems to be more complicated than that in DNA methyltransferase genes. Both mechanisms in PTPs and DNA methyltransferases can be used to explain how some protein families and superfamilies came to be formed by circular permutations during molecular evolution.

Enticing general engineering undergrads into signal processing with Photo-Editing and image search

The University of Cambridge is unusual in that its Department of Engineering is a single department which covers virtually all branches of engineering under one roof. In their first two years of study, our undergrads study the full breadth of engineering topics and then have to choose a specialization area for the final two years of study. Here we describe part of a course, given towards the end of their second year, which is designed to entice these students to specialize in signal processing and information engineering topics for years 3 and 4. The course is based around a photo editor and an image search application, and it requires no prior knowledge of the z-transform or of 2-dimensional signal processing. It does assume some knowledge of 1-D convolution and basic Fourier methods and some prior exposure to Matlab. The subject of this paper, the photo editor, is written in standard Matlab m-files which are fully visible to the students and help them to see how specific algorithms are implemented in detail. © 2011 IEEE.

Mode division multiplexing over 2km of OM2 fibre using rotationally optimized mode excitation with fibre coupler demultiplexer

A Spatial Light Modulator and a non-specialized multimode coupler are used together to provide sufficient channel isolation and modal bandwidth for 2x12.5Gbps NRZ over 2km of standard graded-index multimode fibre without DSP. © 2012 IEEE.

Degenerate mode-group division multiplexing using MIMO digital signal processing

MIMO DSP is employed to improve the performance of degenerate mode-group division multiplexing in 8 km of conventional GI-MMF. Compensation of the mode coupling, induced by the launch and propagation, between and inside each degenerate mode-group is investigated in order to reduce the DSP complexity. © 2013 IEEE.

Multilinear function factorisation for time series feature extraction

This work applies a variety of multilinear function factorisation techniques to extract appropriate features or attributes from high dimensional multivariate time series for classification. Recently, a great deal of work has centred around designing time series classifiers using more and more complex feature extraction and machine learning schemes. This paper argues that complex learners and domain specific feature extraction schemes of this type are not necessarily needed for time series classification, as excellent classification results can be obtained by simply applying a number of existing matrix factorisation or linear projection techniques, which are simple and computationally inexpensive. We highlight this using a geometric separability measure and classification accuracies obtained though experiments on four different high dimensional multivariate time series datasets. © 2013 IEEE.

Predictive control for spacecraft rendezvous in an elliptical orbit using an FPGA

A field programmable gate array (FPGA)-based predictive controller for a spacecraft rendezvous manoeuvre is presented. A linear time varying prediction model is used to accommodate elliptical orbits, and a variable prediction horizon is used to facilitate finite time completion of manoeuvres. The resulting constrained optimisation problems are solved using a primal dual interior point algorithm. The majority of the computational demand is in solving a set of linear equations at each iteration of this algorithm. To accelerate this operation, a custom circuit is implemented, using a combination of Mathworks HDL Coder and Xilinx System Generator for DSP, and used as a peripheral to a MicroBlaze soft core processor. The system is demonstrated in closed loop by linking the FPGA with a simulation of the plant dynamics running in Simulink on a PC, using Ethernet. © 2013 EUCA.

Field programmable gate array based predictive control system for spacecraft rendezvous in elliptical orbits

Copyright © 2014 John Wiley & Sons, Ltd. Copyright © 2014 John Wiley & Sons, Ltd. Summary A field programmable gate array (FPGA) based model predictive controller for two phases of spacecraft rendezvous is presented. Linear time-varying prediction models are used to accommodate elliptical orbits, and a variable prediction horizon is used to facilitate finite time completion of the longer range manoeuvres, whilst a fixed and receding prediction horizon is used for fine-grained tracking at close range. The resulting constrained optimisation problems are solved using a primal-dual interior point algorithm. The majority of the computational demand is in solving a system of simultaneous linear equations at each iteration of this algorithm. To accelerate these operations, a custom circuit is implemented, using a combination of Mathworks HDL Coder and Xilinx System Generator for DSP, and used as a peripheral to a MicroBlaze soft-core processor on the FPGA, on which the remainder of the system is implemented. Certain logic that can be hard-coded for fixed sized problems is implemented to be configurable online, in order to accommodate the varying problem sizes associated with the variable prediction horizon. The system is demonstrated in closed-loop by linking the FPGA with a simulation of the spacecraft dynamics running in Simulink on a PC, using Ethernet. Timing comparisons indicate that the custom implementation is substantially faster than pure embedded software-based interior point methods running on the same MicroBlaze and could be competitive with a pure custom hardware implementation.

Pipeline Architecture and Parallel Computation-Based Real-Time Stereovision Tracking System for Surgical Navigation

This paper studies the development of a real-time stereovision system to track multiple infrared markers attached to a surgical instrument. Multiple stages of pipeline in field-programmable gate array (FPGA) are developed to recognize the targets in both left and right image planes and to give each target a unique label. The pipeline architecture includes a smoothing filter, an adaptive threshold module, a connected component labeling operation, and a centroid extraction process. A parallel distortion correction method is proposed and implemented in a dual-core DSP. A suitable kinematic model is established for the moving targets, and a novel set of parallel and interactive computation mechanisms is proposed to position and track the targets, which are carried out by a cross-computation method in a dual-core DSP. The proposed tracking system can track the 3-D coordinate, velocity, and acceleration of four infrared markers with a delay of 9.18 ms. Furthermore, it is capable of tracking a maximum of 110 infrared markers without frame dropping at a frame rate of 60 f/s. The accuracy of the proposed system can reach the scale of 0.37 mm RMS along the x- and y-directions and 0.45 mm RMS along the depth direction (the depth is from 0.8 to 0.45 m). The performance of the proposed system can meet the requirements of applications such as surgical navigation, which needs high real time and accuracy capability.

Pipeline Architecture and Parallel Computation-Based Real-Time Stereovision Tracking System for Surgical Navigation

This paper studies the development of a real-time stereovision system to track multiple infrared markers attached to a surgical instrument. Multiple stages of pipeline in field-programmable gate array (FPGA) are developed to recognize the targets in both left and right image planes and to give each target a unique label. The pipeline architecture includes a smoothing filter, an adaptive threshold module, a connected component labeling operation, and a centroid extraction process. A parallel distortion correction method is proposed and implemented in a dual-core DSP. A suitable kinematic model is established for the moving targets, and a novel set of parallel and interactive computation mechanisms is proposed to position and track the targets, which are carried out by a cross-computation method in a dual-core DSP. The proposed tracking system can track the 3-D coordinate, velocity, and acceleration of four infrared markers with a delay of 9.18 ms. Furthermore, it is capable of tracking a maximum of 110 infrared markers without frame dropping at a frame rate of 60 f/s. The accuracy of the proposed system can reach the scale of 0.37 mm RMS along the x- and y-directions and 0.45 mm RMS along the depth direction (the depth is from 0.8 to 0.45 m). The performance of the proposed system can meet the requirements of applications such as surgical navigation, which needs high real time and accuracy capability.

支持SAR系统高分辨率实时成像的实时系统解决方案

随着信息技术的发展 ,用于军事、地理、自然灾害扫描探测的合成孔径雷达系统 (SAR)对其成像能力的分辨率和实时显示要求越来越高 因此 ,研究具有自主知识产权的、可以实时处理高分辨率成像的实时系统迫在眉睫 针对实时数据接收、存储、显示和处理等核心问题 ,提出了一种实时系统解决方案 该方案通过对Linux内核的实时扩展 ,实现了可达到高处理机利用率的多任务实时调度方法 ,可支持混成调度 ;在应用层实现符合实时需求的功能模块 ;为DSP板开发实时驱动 ,形成了从硬件驱动层和操作系统层 ,直到应用软件层的完整实时计算体系

基于RTLinux构建机载SAR实时成像处理器嵌入式控制系统

面向地学处理的机载SAR实时成像处理器由一组连接在工业总线上的数据处理板和一个嵌入式主控子系统构成 ,成像处理器的总体设计对主控系统的实时性、稳定性及可扩展性提出了严格的要求 比较了传统的嵌入式工业控制系统的设计方法 ,设计并实现一个基于廉价的PC与RTLinux的主控系统 ,分析了主控系统的两个重点 :DSP宿主环境和RTLinux下的混合任务集 ,并通过给出一个RTLinux与Linux调度精度和误差的对比试验及其结果 ,证明了基于RTLinux的主控系统对支持细粒度调度方面的优越性

同步数据流模型调度序列的空间优化

提出了一种嵌入式DSP系统的存储优化方法。该方法基于同步数据流模型SDF(Synchronous Data Flow)。针对其他优化算法不适用于存在反馈环的同步数据流模型的问题,该方法为反馈环的空间优化设计实现了启发式的调度算法,并提出了将SAS(Single Appearance Schedules)和Non-SAS类型调度序列相结合的层次化的空间优化方案,为同步数据流模型调度序列的空间优化提供一个通用的解决方案。实验结果证实了该方案的有效性。

SCADA系统中交流采样器设计

介绍了SCADA系统中交流采样器的功能，提出了基于DSP技术和CAN总线的系统构架，详细阐述了系统的硬件和软件设计方法，探讨了一种基于消息的嵌入式系统程序设计思想，最后给出了设计结论。

同步数据流可视化建模和调度优化的实现与研究

数据流是为解决数字信号处理领域应用程序设计、开发难度大等问题而提出的，和传统的控制流相比，数据流能够更加自然地描述信号处理系统，更加清晰地表达系统的并发性。应用数据流设计的信号处理系统具有较高的性能，采用数据流语言能够大大加速DSP应用程序的设计和开发。同步数据流（Synchronous Data Flow，简称SDF）基于数据流，它和数据流最大的不同在于：SDF的计算单元在编译时刻消耗数据和产生数据的数目固定，这一特点决定了采用SDF设计和建立的模型能够在编译时刻确定调度序列，使得SDF适合用于多速率信号处理系统的建模。模型化多处理器系统Modex是一个面向同步数据流的可视化建模系统，它支持开发人员运用SDF进行可视化建模、为建立的模型生成调度序列、对调度序列进行空间优化、为建立的模型生成面向目标平台的C语言代码、对模型仿真验证、对模型进行资源消耗评估、将模型映射到指定的处理器执行等。 本文介绍Modex系统的两个关键技术：可视化建模和SDF调度序列空间优化的实现和研究。文章着重介绍SDF模型描述语言的定义，图元的构建和组织，图元的图形显示，控制图元的控制器，直接操作图元的命令对象，图元和视图之间的同步机制以及图形编辑器等部分的设计和实现。Modex系统的可视化建模基于GEF(Graphical Editing Framework)，为同步数据流建模提供了丰富的可视化编辑操作，同时图元和视图之间松散耦合，可视化建模具有良好的互操作性以及扩展性。文章针对调度序列的空间优化提出了将SAS(Single Appearance Sequence）和非SAS类型调度序列相结合的思想，并基于该思想设计了生成空间优化的非SAS类型调度序列算法IAO（Increase Available Output），并结合EA(Evolutionary Approach)算法实现了面向通用,特别是存在反馈环的SDF模型的空间优化方案SGUTS（Solution for General Graph Using Two Kinds of Sequences）。SGUTS是一个层次化的优化框架，它通过聚集将一个存在反馈的模型分为上层模型和下层模型，然后采用EA、IAO算法分别为这两层模型进行优化，从而得到整个模型的优化结果。SGUTS不仅解决了存在反馈环的SDF模型空间优化问题，而且相比较其他算法，SGUTS取得了较好的优化结果。