Search

The main contribution of the present research arises from developing standard object tracking approaches by considering a number of available research works in the area of multiple-object tracking approaches in real-time applications. An automatic robust algorithm is proposed in this investigation, which is able to track multiple synchronized stationary and/or non-stationary objects in high performance quality. The proposed approach is realized based upon an efficient extendable RGB (red/green/blue) modelling framework. This means that the investigated results are easily applicable to tracking the desirable number of objects to be chosen, i.e. the approach is flexible enough to reorganize to track the stationary/non-stationary objects in all frames of the video sequences. This proposed idea unique in that we plan to track all the chosen objects, in a synchronized manner, without a lengthy processing time. In fact, the proposed approach is realized in association with a desirable number of sub-systems, each of them needing to be enabled in parallel. The investigated results indicate that the present approach is now applicable in real-time applications by running a robust estimator to predict the new position of the tracked objects, since the objects are in the presence of long-term environmental problems – situations that are usually too difficult to deal with through standard object tracking algorithms.

The present research attempts to extend the available literature in the area of secure communications to provide an efficient robust adaptive sliding mode control approach in the presence of uncertainties, external disturbances and unknown parameters. It is obvious that the proposed control approach aims to synchronize two hyper-chaotic systems through secure communication. In order to assure the security of signal sending and receiving, the technique of chaotic parameter modulation is taken into consideration. The stability performance of the present approach is accurately guaranteed via the Lyapunov theorem. Numerical simulation results are carried out to illustrate the proposed approach performance, which is easily able to follow the control objectives.

Post-traumatic thromboembolism (PE) is now a common challenging particularly in critically ill patients referred to emergency wards. We aimed to identify main factors associated with PE within 72 h of admission after trauma among patients referred to emergency ward. In this retrospective study, the database records of 240 patients, with the primary diagnosis of trauma requiring ICU admission and with a final diagnosis of pulmonary embolism, were reviewed. The patients were categorized as the subjects with early pulmonary embolism (≤3 days) and those with late pulmonary embolism (>3 days). According to our analysis, 48.5% of the patients suffered PE faced this event within 72 h of trauma events. The patients in early PE group were older than those who suffered late PE. The prevalence rate of long bone fractures in lower extremities was significantly higher in those with early PE compared with the other patients. The group with early PE had more severe injury when compared to those with later PE. The severe and very severe injuries were indicated in 49.5 and 15.4% in early PE group, and 14.0 and 6.9% in late PE group, respectively. Using the multivariable logistic regression model, older age, presence of long bone fractures, and more severe injury could predict occurrence of early PE in trauma patients referred to emergency ward. Occurring early PE is predicted in majority of traumatic patients requiring ICU admission especially in older ones, patients with long bone fractures and those with more severe injury.

This research work looks at methods for controlling a two-phase distillation column system. The present system consists of a vertical column with a number of trays used for component separation. It also has a reboiler and a condenser; these are used to provide heating and cooling for vaporization and condensation, respectively. The proposed control scheme uses the model-based predictive control (MBPC) scheme with the internal model being produced by a set of Takagi Sugeno Kang (TSK) fuzzy-based models. The internal set of TSK fuzzy-based models are developed from a linear models predictive approach. That is, it makes a prediction of the present system using a set of TSK fuzzy-based models identified, at each instant of time. The control scheme is then evaluated using simulation and compared with a benchmark fuzzy-based PI control scheme. The novelty of the present research is to propose a new organization in system modeling and its control scheme by combining the MBPC scheme and artificial intelligence (AI)-based techniques for the purpose of improving the system performance results.

Introduction: Type 2 diabetes is a common disease in the world. Exercise has consistently been shown to improve glucose control. The purpose of this study was to compare the effect of a single-session aerobic and resistance exercise on blood glucose in women with type 2 diabetes. Methods: Twenty four women with type 2 diabetes were voluntarily and randomly selected and divided into aerobic exercise, resistance exercise and control groups. Aerobic exercise(rhythmic exercise) was performed for 40 min at 60% HRmax and resistance exercise(weight lifting) for 40 min utilizing 60% of 1-RM. Blood samples were collected before and after exercise. Results: Results of paired sample t-test showed a single-session aerobic and resistance exercise significantly decreased blood glucose(p

Background: Trichomonas vaginalis is protozoan parasite responsible for trichomoniasis and is more common in high-risk behavior group such as prostitute individuals. Interest in trichomoni­asis is due to increase one's susceptibility to viruses such as herpes, human papillomavirus and HIV. The aim of this study was to find genotypic differences between the isolates. Methods: Forty isolates from prisoners' women in Tehran province were used in this study. The random amplified polymorphic DNA (RAPD) technique was used to determine genetic differ­ences among isolates and was correlated with patient's records. By each primer the banding pat­tern size of each isolates was scored (bp), genetic differences were studied, and the genealogical tree was constructed by using NTSYS software program and UPGMA method. Results: The least number of bands were seen by using primer OPD8 and the most by using OPD3. Results showed no significant difference in isolates from different geographical areas in Iran. By using primer OPD1 specific amplified fragment with length 1300 base pair were found in only 8 isolates. All these isolates were belonged to addicted women; however, six belonged to asymptomatic patients and two to symptomatic ones. Conclusion: There was not much genetic diversity in T vaginalis isolates from three different geo­graphical areas.

12 páginas, 5 figuras, 2 tablas.-- et al., [Background and Aims]: Genome size is a function, and the product, of cell volume. As such it is contingent on ecological circumstance. The nature of ‘this ecological circumstance’ is, however, hotly debated. Here, we investigate for angiosperms whether stomatal size may be this ‘missing link’: the primary determinant of genome size. Stomata are crucial for photosynthesis and their size affects functional efficiency. [Methods]: Stomatal and leaf characteristics were measured for 1442 species from Argentina, Iran, Spain and the UK and, using PCA, some emergent ecological and taxonomic patterns identified. Subsequently, an assessment of the relationship between genome-size values obtained from the Plant DNA C-values database and measurements of stomatal size was carried out. [Key Results]: Stomatal size is an ecologically important attribute. It varies with life-history (woody species < herbaceous species < vernal geophytes) and contributes to ecologically and physiologically important axes of leaf specialization. Moreover, it is positively correlated with genome size across a wide range of major taxa. [Conclusions]: Stomatal size predicts genome size within angiosperms. Correlation is not, however, proof of causality and here our interpretation is hampered by unexpected deficiencies in the scientific literature. Firstly, there are discrepancies between our own observations and established ideas about the ecological significance of stomatal size; very large stomata, theoretically facilitating photosynthesis in deep shade, were, in this study (and in other studies), primarily associated with vernal geophytes of unshaded habitats. Secondly, the lower size limit at which stomata can function efficiently, and the ecological circumstances under which these minute stomata might occur, have not been satisfactorally resolved. Thus, our hypothesis, that the optimization of stomatal size for functional efficiency is a major ecological determinant of genome size, remains unproven., A considerable quantity of the data used in this project was collected during projects funded by respectively NERC (UK), the Research Institute of Forests and Rangelands (RIFR, Iran), Universidad Nacional de Córdoba, Comisión Interministerial de Ciencia y Tecnología (Spain) and the Darwin Initiative for the Survival of Species (DEFRA, UK).

This paper describes a new approach to intelligent model based predictive control scheme for deriving a complex system. In the control scheme presented, the main problem of the linear model based predictive control theory in dealing with severe nonlinear and time variant systems is thoroughly solved. In fact, this theory could appropriately be improved to a perfect approach for handling all complex systems, provided that they are firstly taken into consideration in line with the outcomes presented. This control scheme is organized based on a multi-fuzzy-based predictive control approach as well as a multi-fuzzy-based predictive model approach, while an intelligent decision mechanism system (IDMS) is used to identify the best fuzzy-based predictive model approach and the corresponding fuzzy-based predictive control approach, at each instant of time. In order to demonstrate the validity of the proposed control scheme, the single linear model based generalized predictive control scheme is used as a benchmark approach. At last, the appropriate tracking performance of the proposed control scheme is easily outperformed in comparison with previous one.

Background: Trichomoniasis is an extremely common sexually transmitted infection (STI) world­wide and is associated with important public health problems, including amplification of HIV transmission. This disease is in forms of symptomatic and asymptomatic in women and may de­pend on host as well as parasite variables. Most of the studies reported from females are based on examination of vaginal secretions and urine samples by direct smear and culture in modified Dia­mond's media. The aim of this study was checking the samples, which were negative by direct smear and culture, with PCR technique. Methods: The urine samples and vaginal discharge of patients attending Gynecology Clinics of Ma­zandaran Province, Iran with different symptoms rechecked for Trichomonas vaginalis by PCR technique using primers targeting a conserved region of the beta-tubulin genes of the para­site. Data were analyzed by Epi Info software program Results: Out of 161 negative samples by direct smear and culture, seven samples (4.3%) were posi­tive by PCR technique. Conclusion: Diagnosis of trichomoniasis by PCR is a sensitive and specific method that could play important role to help the physicians for properly treatment and control of infection.

Summary Background Hepatic venous pressure gradient (HVPG) is the gold standard for assessing the presence and the severity of portal hypertension (PHT). Liver stiffness measurement (LSM) is a non-invasive method for liver fibrosis assessment. Aims To assess the relationship between LSM and HVPG in patients with compensated cirrhosis related to hepatitis C virus (HCV) or alcohol and to define the performance and the best cut-off of LSM for the diagnosis of PHT in these patients. Methods Between January 2004 and September 2006, we studied all the consecutive patients with compensated HCV or alcohol-related-cirrhosis referred for transjugular liver biopsy with HVPG measurement and LSM performed the same day. Results Ninety-two patients were eligible, 44 had HCV related-cirrhosis and 48 alcoholic cirrhosis. LSM was positively correlated to HVPG in both groups. The area under the receiver operating characteristic curve for the diagnosis of significant PHT was 0.76 ± 0.07 in HCV patients (best cut-off at 20.5 kPa) and 0.94 ± 0.03 (best cut-off at 34.9 kPa) in alcoholic patients. Conclusions Liver stiffness measurement and HVPG were significantly correlated in patients with compensated cirrhosis because of HCV infection or alcohol. LSM could predict significant PHT in both these groups of patients with a higher cut-off and a better performance in alcoholic patients.

The obesity paradox is often attributed to fat acting as a buffer to protect individuals in fragile metabolic states. If this was the case, one would predict that the reverse epidemiology would be apparent across all causes of mortality including that of the particular disease state. We performed a dose-response meta-analysis to assess the impact of body mass index (BMI) on all-cause and stroke-specific mortality among stroke patients. Data from relevant studies were identified by systematically searching PubMed, OVID and Scopus databases and were analysed using a random-effects dose-response model. Eight cohort studies on all-cause mortality (with 20,807 deaths of 95,651 stroke patients) and nine studies of mortality exclusively because of stroke (with 8,087 deaths of 28,6270 patients) were evaluated in the meta-analysis. Non-linear associations of BMI with all-cause mortality (P 0.0001) and mortality by stroke (P = 0.05) were observed. Among overweight and obese stroke patients, the risk of all-cause mortality increased, while the risk of mortality by stroke declined, with an increase in BMI. Increasing BMI had opposite effects on all-cause mortality and stroke-specific mortality in stroke patients. Further investigations are needed to examine how mortality by stroke is influenced by a more accurate indicator of obesity than BMI.

Liver fibrosis is the main predictor of the progression of chronic hepatitis C, and its assessment by liver biopsy (LB) can help determine therapy. However, biopsy is an invasive procedure with several limitations. A new, noninvasive medical device based on transient elastography has been designed to measure liver stiffness. The aim of this study was to investigate the use of liver stiffness measurement (LSM) in the evaluation of liver fibrosis in patients with chronic hepatitis C. We prospectively enrolled 327 patients with chronic hepatitis C in a multicenter study. Patients underwent LB and LSM. METAVIR liver fibrosis stages were assessed on biopsy specimens by 2 pathologists. LSM was performed by transient elastography. Efficiency of LSM and optimal cutoff values for fibrosis stage assessment were determined by a receiver-operating characteristics (ROC) curve analysis and cross-validated by the jack-knife method. LSM was well correlated with fibrosis stage (Kendall correlation coefficient: 0.55; P.0001). The areas under ROC curves were 0.79 (95% CI, 0.73-0.84) for For =2, 0.91 (0.87-0.96) for For =3, and 0.97 (0.93-1) for F=4; for larger biopsies, these values were, respectively, 0.81, 0.95, and 0.99. Optimal stiffness cutoff values of 8.7 and 14.5 kPa showed For =2 and F=4, respectively. In conclusion, noninvasive assessment of liver stiffness with transient elastography appears as a reliable tool to detect significant fibrosis or cirrhosis in patients with chronic hepatitis C.

Comparison between hydro-distillation and supercritical fluid extraction (SFE) by Co2on Anthemis nobilis var. flora plena was investigated. The oil content of flowers extracted by hydro-distillation method was 1.87 and its major components were: isobutyl angelate (25.85%), 2-me-thyl butyl angelate (13.02%), propyl tiglate (12.00%), iso-amyl angelate (6.63%), 3-methyl butyl iso-butyrate (5.20%) and iso-amyl-2-methyl butyrate (4.08%), and by SFE method were: 2-methyl-butyl angelate (8.59%) iso-amyl-angelate (4.21%), iso-amyl-2-methyl butyrate (2.77%) and propyl tiglate (2.34%). The extraction of the essential oil of Anthemis nobilis var. flora plena by hydro-distillation is recommended.

Rate- pressure product (RPP) is an indirect index of myocardial oxygen consumption of patients with coronary artery disease. Effects of aerobic continuous and interval exercise training on RPP in patients after coronary artery bypass graft (CABG) surgery was examined in this study.Thirty male patients after CABG surgery were divided into aerobic continuous (AC) training (N.=11), aerobic interval (AI) training (N.=11) and control (C) (N.=8) group. AC training included 30-60 minutes at 70-85% of peak heart rate and AI training lasted 28 to 45 minutes (3 intervals for 9-15 min) at 75-90% of peak heart rate. Exercise training program was performed 3 day/week for 8 weeks. Paired t-test was used for analyzing data.A significant decrease in resting and maximal RPP and RPP at 3th, 6th and 9th minutes of exercise was found in AC and AI training vs. control group (P0.05). No significant difference was found in RPP at 1th, 2th and 3th minutes of recovery in 2 training groups (P0.05).Both high intensity AC and AI training program are effective on RPP in patients after CABG surgery and enhance efficiency of myocardium and its metabolic demands, but AI training program is more effective.

The flowers of Roman chamomile (Chamaemelum nobile L. All. var. flora plena) cultivated in Iran were dried by three different drying methods of sun-drying, shade-drying and oven-drying at 40 °C. The essential oils of every treatment were obtained by hydrodistillation of the flowers, and were analysed by GC and GC–MS. The oil content of the shade-dried flowers was the largest (1.9% w/w) compared to sun-drying (0.4% w/w) and oven-drying at 40 °C (0.9% w/w). Drying methods had no effect on the number of chemical components of the essential oil, as 14 components were identified in the oil of every drying method. The major components were isobutyl angelate, 2-methyl butyl angelate, propyl tiglate, isoamyl angelate and 3-methylbutyl isobutyrate. However, the drying method had a significant effect on the proportion of the various components. Copyright © 2004 John Wiley & Sons, Ltd.

A new knowledge-based algorithm for the purpose of rigid and non-rigid objects tracking through color feature in video sequences is proposed in this research. The mean shift (MS) algorithm, as the efficient method in the area of color-based objects tracking, is improved to solve the tracking problems, such as background with similar colors, partial or full occlusion, sensibly, and so on. In the algorithm presented here, an improved convex kernel function is realized to present a particular solution, since a robust estimator, i.e., Kalman filter approach is correspondingly realized. Experimental results verify that the proposed algorithm is efficient, under sever conditions, while the speed of the object could be constant.

The main idea of the paper presented here is to reorganize the linear model based generalized predictive control (LGPC) approach in dealing with a severe nonlinear system. The proposed control strategy is investigated using a TSK fuzzy-based LGPC approach as well as a TSK fuzzy-based model approach. The TSK fuzzy-based model approach is accurately identified as the best representation of the nonlinear system, at each instant of time. And subsequently the TSK fuzzy-based LGPC approach is realized in line with the system modeling outcomes. In order to present the validity of the proposed control strategy, the simulations are carried out in deriving an industrial tubular heat exchanger system as a highly nonlinear system. As is obvious from its acquired results, the proposed control strategy is appropriate in comparison with the traditional LGPC approach.

This paper describes an intelligence based model predictive control scheme in dealing with a complicated system. In the control strategy proposed here, the system has to be first represented through a multi-Takagi-Sugeno-Kang (TSK) fuzzy-based model approach and subsequently a multi-generalized predictive control (GPC) scheme is realized in line with the investigated model outcomes, at a number of operating points of the system. In this control strategy, the proposed multi-GPC scheme is instantly updated to derive the system by activating the best control scheme through a new GPC identifier. To demonstrate the effectiveness of the proposed control scheme, the simulations are carried out and the results are compared with those obtained using the traditional GPC scheme. The results verify the validity of the proposed control scheme.

This research work describes an intelligent control scheme for deriving a severe nonlinear system via the predictive control theory. In line with the control scheme proposed, the system behavior is first represented by a multilinear model approach (MLA), while a multi-GPC approach (MGA) is realized based on acquired outcomes. Subsequently, an intelligent decision maker system (IDMS) is realized to derive both the MGA and the MLA, at each instant of time. In this control scheme, the desirable control action in correspondence with the system behavior is instantly updated to apply to the system. In order to display the effectiveness of the proposed control scheme, simulations are carried out and its results are compared with those obtained using the traditional predictive control scheme, as a benchmark approach. The results verify the validity of the control scheme proposed in comparison with the previous one.

This work deals with a novel load-frequency control (LFC) using the fuzzy-based predictive scheme in a two-area interconnected power system. At first, the power system needs to be modeled and subsequently the Takagi-Sugeno-Kang (TSK) fuzzy-based approach using the linear generalized predictive control (LGPC) scheme is realized to implement on the system presented. In order to demonstrate the effectiveness of the proposed strategy, simulations are carried out and the results are compared with those obtained using the nonlinear GPC (NLGPC) as a benchmark approach. The results verify the validity of the proposed fuzzy-based predictive control scheme in comparison with the previous one.

Periodic endoscopic screening for oesophageal varices is recommended in patients with cirrhosis, but might be limited to a subgroup of patients if a simple non-invasive test was available to select those at risk of bleeding.We studied in 165 patients with cirrhosis the relation between the presence of oesophageal varices assessed by endoscopy, and liver stiffness measurement by Fibroscan, a non-invasive parameter related to liver fibrosis. The results were compared to those of other parameters reflecting portal hypertension, splenic size, platelet count, and platelet count/spleen size ratio.Liver stiffness measurement was correlated to the grade of oesophageal varices (r = 0.6, p0.0001). AUROC values of liver stiffness measurement were 0.84 (95% CI: 0.78-0.90) for the presence of oesophageal varices and 0.83 (0.76-0.89) for varices gradeor = II. Liver stiffness measurement value19 kPa was highly predictive of the absence of oesophageal varices gradeor = II (Se: 84%, PPV: 47%, NPV: 93%).Liver stiffness measurement allows to predict the presence of large oesophageal varices in patients with cirrhosis, and may help to select patients for endoscopic screening.

A study of the total cross section for polarized proton knockout in $(e,e'{\vec p})$ reactions is carried out for the closed-shell nucleus $^{40}$Ca. The dependence of FSI effects on polarization observables viewed as functions of the nucleon polarization angles is analyzed and interpreted within the basis of a semi-classical model for the orbit of the struck nucleon and trajectory of the ejected nucleon. A comparison with the case of a $^{39}$K polarized target and unpolarized protons is performed., 25 pages, 10 figures

Nucleon recoil polarization observables in $(e,{e}^{\ensuremath{'}}\stackrel{P\vec}{p})$ reactions are investigated using a semirelativistic distorted-wave model which includes one- and two-body currents with relativistic corrections. Results for the induced polarization asymmetry are shown for closed-shell nuclei and a comparison with available experimental data for $^{12}c$ is provided. A careful analysis of meson-exchange currents shows that they may affect significantly the induced polarization for high missing momentum.

A study of the effects of meson-exchange currents and isobar configurations in $A(\vec{e},e'\vec{p})B$ reactions is presented. We use a distorted wave impulse approximation (DWIA) model where final-state interactions are treated through a phenomenological optical potential. The model includes relativistic corrections in the kinematics and in the electromagnetic one- and two-body currents. The full set of polarized response functions is analyzed, as well as the transferred polarization asymmetry. Results are presented for proton knock-out from closed-shell nuclei, for moderate to high momentum transfer.

Electron-induced one-nucleon knock-out observables are computed for moderate to high momentum transfer making use of semi-relativistic expressions for the one-body and two-body meson-exchange current matrix elements. Emphasis is placed on the semi-relativistic form of the $\Delta$-isobar exchange current and several prescriptions for the dynamical-equivalent form of the $\Delta$-propagator are analyzed. To this end, the inclusive transverse response function, evaluated within the context of the semi-relativistic approach and using different prescriptions for the $\Delta$-propagator, is compared with the fully relativistic calculation performed within the scheme of the relativistic Fermi gas model. It is found that the best approximation corresponds to using the traditional static $\Delta$-propagator. These semi-relativistic approaches, which contain important aspects of relativity, are implemented in a distorted wave analysis of quasielastic $(e,e'p)$ reactions. Final state interactions are incorporated through a phenomenological optical potential model and relativistic kinematics is assumed when calculating the energy of the ejected nucleon. The results indicate that meson exchange currents may modify substantially the $TL$ asymmetry for high missing momentum.

Question: A set of easily‐measured (‘soft’) plant traits has been identified as potentially useful predictors of ecosystem functioning in previous studies. Here we aimed to discover whether the screening techniques remain operational in widely contrasted circumstances, to test for the existence of axes of variation in the particular sets of traits, and to test for their links with ‘harder’ traits of proven importance to ecosystem functioning. Location: central‐western Argentina, central England, northern upland Iran, and north‐eastern Spain. Recurrent patterns of ecological specialization: Through ordination of a matrix of 640 vascular plant taxa by 12 standardized traits, we detected similar patterns of specialization in the four floras. The first PCA axis was identified as an axis of resource capture, usage and release. PCA axis 2 appeared to be a size‐related axis. Individual PCA for each country showed that the same traits remained valuable as predictors of resource capture and utilization in all of them, despite their major differences in climate, biogeography and land‐use. The results were not significantly driven by particular taxa: the main traits determining PCA axis 1 were very similar in eudicotyledons and monocotyledons and Asteraceae, Fabaceae and Poaceae. Links between recurrent suites of ‘soft’ traits and ‘hard’ traits: The validity of PCA axis 1 as a key predictor of resource capture and utilization was tested by comparisons between this axis and values of more rigorously established predictors (‘hard’ traits) for the floras of Argentina and England. PCA axis 1 was correlated with variation in relative growth rate, leaf nitrogen content, and litter decomposition rate. It also coincided with palatability to model generalist herbivores. Therefore, location on PCA axis 1 can be linked to major ecosystem processes in those habitats where the plants are dominant. Conclusion: We confirm the existence at the global scale of a major axis of evolutionary specialization, previously recognised in several local floras. This axis reflects a fundamental trade‐off between rapid acquisition of resources and conservation of resources within well‐protected tissues. These major trends of specialization were maintained across different environmental situations (including differences in the proximate causes of low productivity, i.e. drought or mineral nutrient deficiency). The trends were also consistent across floras and major phylogenetic groups, and were linked with traits directly relevant to ecosystem processes. Fil: Díaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Hodgson, J.G.. The University. Department of Animal and Plant Sciences. Unit of Comparative Plant Ecology; Reino Unido Fil: Thompson, K.. The University. Department of Animal and Plant Sciences. Unit of Comparative Plant Ecology; Reino Unido Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Cornelissen, Johannes H. C.. Free University. Faculty Earth and Life Sciences. Department of Systems Ecology; Países Bajos Fil: Funes, Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Pérez Harguindeguy, Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Vendramini, Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Falczuk, Valeria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Zak, Marcelo Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Khoshnevi, M.. Research Institute of Forests and Rangelands; Irán Fil: Pérez Rontomé, M. C.. Instituto Pirenaico de Ecología; España Fil: Shirvani, F. A.. Research Institute of Forests and Rangelands; Irán Fil: Yazdani, S.. Research Institute of Forests and Rangelands; Irán Fil: Abbas Azimi, R. Research Institute of Forests and Rangelands; Irán Fil: Bogaard, A. The University. Department of Archaeology and Prehistory; Reino Unido Fil: Boustani, S.. Research Institute of Forests and Rangelands; Irán Fil: Charles, M.. The University. Department of Archaeology and Prehistory; Reino Unido Fil: Dehghan, M.. Research Institute of Forests and Rangelands; Irán Fil: de Torres Espuny, L.. Instituto Pirenaico de Ecología; España Fil: Guerrero Campo, J.. Instituto Pirenaico de Ecología; España Fil: Hynd, A.. The University. Department of Archaeology and Prehistory; Reino Unido Fil: Jones, G.. The University. Department of Archaeology and Prehistory; Reino Unido Fil: Kowsary, E.. Research Institute of Forests and Rangelands; Irán. Instituto Pirenaico de Ecología; España Fil: Kazemi Saeed, F.. Research Institute of Forests and Rangelands; Irán Fil: Maestro Martínez, M.. Instituto Pirenaico de Ecología; España Fil: Romo Diez, A.. Instituto Botanico de Barcelona; España Fil: Shaw, S.. Research Institute of Forests and Rangelands; Irán. The University. Department of Animal and Plant Sciences; Reino Unido Fil: Siavash, B.. Research Institute of Forests and Rangelands; Irán Fil: Villar Salvador, P.. Instituto Pirenaico de Ecología; España

International audience; Vascular Endothelial Growth Factor (VEGF) promotes angiogenesis in tumours of various cancers. Monoclonal antibodies and nanobodies are one of the potent agents in the treatment of cancer. Due to their high costs, researchers are considering to design and produce peptides as a substitute approach in recent years. The aim of the current study was designing a mimotope against VEGF and evaluate its effects on cell proliferation and tube formation in the HUVEC cell line. For this, a peptide was designed against VEGF and chemically produced. The effects of synthetic peptide and nanobody on the inhibition of proliferation of HUVEC cells were examined using MTT and tube formation assays. The data indicate that the peptide was able to significantly inhibit both HUVEC cell proliferation and tube formation through inhibition of VEGF, highlighting the potential of peptides as a 'novel' class of candidate drugs to inhibit angiogenesis.