Effect of royal jelly on experimental colitis induced by acetic acid and alteration of mast cell distribution in the colon of rats

This study investigated the effects of royal jelly (RJ) on acetic acid-induced colitis in rats. Twenty adult female Wistar albino rats were divided into four treatment groups of 5 animals each, including a control group (Group I); Group II was treated orally with RJ (150 mg kg−1 body weight); Group III had acetic acid-induced colitis; and Group IV had acetic acid-induced colitis treated orally with RJ (150 mg kg−1 body weight) for 4 weeks. Colitis was induced by intracolonic instillation of 4% acetic acid; the control group received physiological saline (10 mL kg−1). Colon samples were obtained under deep anaesthesia from animals in all groups. Tissues were fixed in 10% formalin neutral buffer solution for 24 h and embedded in paraffin. Six-micrometre-thick sections were stained with Mallory’s triple stain and toluidine blue in 1% aqueous solution at pH 1.0 for 5 min (for Mast Cells). RJ was shown to protect the colonic mucosa against the injurious effect of acetic acid. Colitis (colonic damage) was confirmed histomorphometrically as significant increases in the number of mast cells (MC) and colonic erosions in rats with acetic acid-induced colitis. The RJ treatment significantly decreased the number of MC and reduced the area of colonic erosion in the colon of RJ-treated rats compared with rats with untreated colitis. The results suggest that oral treatment with RJ could be used to treat colitis

Transformation of Hand-Shape Features for a Biometric Identification Approach

The present work presents a biometric identification system for hand shape identification. The different contours have been coded based on angular descriptions forming a Markov chain descriptor. Discrete Hidden Markov Models (DHMM), each representing a target identification class, have been trained with such chains. Features have been calculated from a kernel based on the HMM parameter descriptors. Finally, supervised Support Vector Machines were used to classify parameters from the DHMM kernel. First, the system was modelled using 60 users to tune the DHMM and DHMM_kernel+SVM configuration parameters and finally, the system was checked with the whole database (GPDS database, 144 users with 10 samples per class). Our experiments have obtained similar results in both cases, demonstrating a scalable, stable and robust system. Our experiments have achieved an upper success rate of 99.87% for the GPDS database using three hand samples per class in training mode, and seven hand samples in test mode. Secondly, the authors have verified their algorithms using another independent and public database (the UST database). Our approach has reached 100% and 99.92% success for right and left hand, respectively; showing the robustness and independence of our algorithms. This success was found using as features the transformation of 100 points hand shape with our DHMM kernel, and as classifier Support Vector Machines with linear separating functions, with similar success

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

Meeting abstrac

A Business Process Improvement framework for Knowledge-Intensive Entrepreneurial Ventures

Pushed by the transition towards the knowledge economy, as well as several other change drivers, an ever-increasing number of knowledge intensive ventures are relying on operational knowledge intensity in order to generate value. Through their interaction with their varied stakeholders -- from actors within their supply chains to educational and financial institutions -- knowledge intensive enterprises are increasingly becoming a key component of regional economic stability. Within their complex environment, these organisations lack the support of suitable frameworks to inform their efforts to optimise, adapt and improve their underlying business processes in order to maximise the efficiency of their performance and pursue growth ambitions. This paper examines the distinct nature of knowledge intensive entrepreneurial ventures (KIEs) and the applicability of current Business Process Improvement (BPI) frameworks to their setting. Finally, a KIE-oriented business process improvement framework is developed through an integrative adaptation of the concepts of knowledge intensity and knowledge management to the principles of business process redesign and re-engineering reported in existing literature. The proposed framework contributes to the existing literature in the subject of BPI modelling for knowledge intensive entrepreneurial ventures by addressing a distinct set of improvement concerns that this type of organisations face at a process level

Antitumor effect of sFlt-1 gene therapy system mediated by Bifidobacterium Infantis on Lewis lung cancer in mice

Soluble fms-like tyrosine kinase receptor (sFlt-1) is a soluble form of extramembrane part of vascular endothelial growth factor receptor-1 (VEGFR-1) that has antitumor effects. Bifidobacterium Infantis is a kind of non-pathogenic and anaerobic bacteria that may have specific targeting property of hypoxic environment inside of solid tumors. The aim of this study was to construct Bifidobacterium Infantis-mediated sFlt-1 gene transferring system and investigate its antitumor effect on Lewis lung cancer (LLC) in mice. Our results demonstrated that the Bifidobacterium Infantis-mediated sFlt-1 gene transferring system was constructed successfully and the system could express sFlt-1 at the levels of gene and protein. This system could not only significantly inhibit growth of human umbilical vein endothelial cells induced by VEGF in vitro, but also inhibit the tumor growth and prolong survival time of LLC C57BL/6 mice safely. These data suggest that Bifidobacterium Infantis-mediated sFlt-1 gene transferring system presents a promising therapeutic approach for the treatment of cancer

Productive Development Policies in Latin American Countries: The Case of Peru, 1990-2007

This paper assesses the institutional setting and productive impact of selected productive development policies (PDPs), institutions, and programs implemented in Peru during the period 1990-2007. The assessment is based on a simple, basic framework of a series of economic or market failures that may have constrained the transformation of the productive structure, the process of innovation, and the growth of total factor productivity. Evidence indicates that the PDPs and structural reforms implemented in Peru did not significantly alter the productive structure of the Peruvian economy. If the objectives of the PDPs are to transform the productive structure, increase total factor productivity, and enhance innovation, government interventions need to focus directly on the source of market failures and create quality productive changes within the private sector