Analysis of K-ras gene codon 12 mutation in pancreatic tissue of patients with pancreatic cancer

Ovo istraživanje je imalo za cilj da se analizira prisustvo mutacije u kodonu 12 gena K-ras u pankreasnom tkivu pacijenata sa karcinomom pankreasa i da se proceni da li ova mutacija predstavlja potencijalni molekularni marker za karcinom pankreasa u srpskoj populaciji. Istraživanje je obuhvatilo analizu 40 uzoraka tkiva pankreasa pacijenata sa kliničkom dijagnozom karcinoma pankreasa. Prisustvo mutacije u kodonu 12 gena K-ras analizirano je metodom PCR-RFLP (polymerase chain reaction - restriction fragment length poly­morphism). Rezultati istraživanja ukazuju da je mutacija u kodonu 12 gena K-ras u tkivu pankreasa prisutna sa visokom učestalošću (66 %) kod pacijenata sa karcinomom pankreasa.The aim of this study was to analyze K-ras codon 12 mutation in the pancreatic tissue of Serbian patients with pancreatic cancer and assess whether the given mutation can be used as a molecular marker for this disease. The study was performed on pancreatic tissue samples obtained from 40 patients with clinical diagnosis of pancreatic cancer. The presence of K-ras codon 12 mutation was analyzed by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our study showed that K-ras mutation is present with a high frequency (66%) in the pancreatic tissue of patients with pancretic cancer

Parameters estimation of induction machine single-cage and double-cage model using Hybrid Simulated Annealing–Evaporation Rate Water Cycle algorithm

This paper presents the usage of the hybrid simulated annealing—evaporation rate water cycle algorithm (SA-ERWCA) for induction machine equivalent circuit parameter estimation. The proposed algorithm is applied to nameplate data, measured data found in the literature, and data measured experimentally on a laboratory three-phase induction machine operating as an induction motor and as an induction generator. Furthermore, the proposed method is applied to both single-cage and double-cage equivalent circuit models. The accuracy and applicability of the proposed SA-ERWCA are intensively investigated, comparing the machine output characteristics determined by using SA-ERWCA parameters with corresponding characteristics obtained by using parameters determined using known methods from the literature. Also, the comparison of the SA-ERWCA with classic ERWCA and other algorithms used in the literature for induction machine parameter estimation is presented. The obtained results show that the proposed algorithm is a very effective and accurate method for induction machine parameter estimation. Furthermore, it is shown that the SA-ERWCA has the best convergence characteristics compared to other algorithms for induction machine parameter estimation in the literature

The utility of Tc-99m-EDDA/HYNIC-TOC scintigraphy for assessment of lung lesions in patients with neuroendocrine tumors

Our aim was to assess clinical utility of Tc-99m-EDDA/HYNIC-TOC scintigraphy for evaluation of lung lesions in patients with neuroendocrine tumors (NETs). Single photon emission computed tomography (SPECT) of the thorax and whole body scintigraphy were performed in 34 patients using Tc-99m-EDDA/HYNIC-TOC. Visual assessment was complemented by semiquantitative evaluation based on tumor to non-tumor (TINT) ratio. Clinical, laboratory, and histological findings served as the standard for comparison. Enhanced tracer uptake was observed on both SPECT and whole body scintigraphy in 29 of 34 patients (88% sensitivity). TINT ratios were significantly higher on SPECT than whole body images (2.96 +/- 1.07 vs. 1.70 +/- 0.43, p LT 0.01) and did not correlate with NET proliferation index Ki-67 (r= - 0.36, p=0.27). Conclusion: Tc-99m-EDDA/HYNIC-TOC scintigraphy is useful for evaluation of NET tissue in the lungs. SPECT provides better visualization of lung lesions than whole body scintigraphy. The intensity of tracer uptake, however, does not relate to the proliferation rate of NETs. Tc-99m-EDDA/HYNIC-TOC scintigraphy may be helpful for selecting and monitoring treatment options, particularly when radiolabeled somatostatin analogue therapy becomes available

dignostic and

Endoscopic removal of pedunculated leiomyoma of the sigmoid colon (case report and literature review o

Optimal PID controllers for AVR system considering limited excitation voltage limitations using hybrid equilibrium optimizer

Automatic voltage regulator (AVR) represents the basic voltage regulator loop in power systems. The central part of this loop is the regulator, which has parameters that define the speed of the voltage regulation, quality of responses, and system stability. Furthermore, it has an impact on the excitation voltage change and value, especially during transients. In this paper, unlike literature approaches, the experimental verifications of the impact of regulator parameters on the excitation voltage and current value are presented. A novel hybrid metaheuristic algorithm for obtaining regulator parameters determination of the AVR system, and a novel regulator design taking into account excitation voltage limitation are presented. The proposed algorithm combines the properties and characteristics of equilibrium optimizer and evaporation rate water cycle algorithms. The proposed algorithm is effective, fast, and accurate. Both experimental and simulation results show that the limitation of the excitation voltage increases the settling time of the generator voltage during reference change. Additionally, the simulation results show that the optimal values of PID parameters are smaller for limited excitation voltage values

Artificial neural network-based nonlinear black-box modeling of synchronous generators

Data availability: The complete experimental measurements presented in Figs. 6 and 7, along with some of the used Matlab codes and Simulink models, are located on the following link: https://drive.google.com/file/d/1OlNfo56QIgJUaKioGhenOJ28WNt88y3/view?usp=sharing. It can be downloaded with the permission of the authors

Analysis of K-ras gene codon 12 mutation in pancreatic tissue of patients with pancreatic cancer

Ovo istraživanje je imalo za cilj da se analizira prisustvo mutacije u kodonu 12 gena K-ras u pankreasnom tkivu pacijenata sa karcinomom pankreasa i da se proceni da li ova mutacija predstavlja potencijalni molekularni marker za karcinom pankreasa u srpskoj populaciji. Istraživanje je obuhvatilo analizu 40 uzoraka tkiva pankreasa pacijenata sa kliničkom dijagnozom karcinoma pankreasa. Prisustvo mutacije u kodonu 12 gena K-ras analizirano je metodom PCR-RFLP (polymerase chain reaction - restriction fragment length poly­morphism). Rezultati istraživanja ukazuju da je mutacija u kodonu 12 gena K-ras u tkivu pankreasa prisutna sa visokom učestalošću (66 %) kod pacijenata sa karcinomom pankreasa.The aim of this study was to analyze K-ras codon 12 mutation in the pancreatic tissue of Serbian patients with pancreatic cancer and assess whether the given mutation can be used as a molecular marker for this disease. The study was performed on pancreatic tissue samples obtained from 40 patients with clinical diagnosis of pancreatic cancer. The presence of K-ras codon 12 mutation was analyzed by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our study showed that K-ras mutation is present with a high frequency (66%) in the pancreatic tissue of patients with pancretic cancer

ANALYSIS OF K-RAS GENE CODON 12 MUTATION IN PANCREATIC TISSUE OF PATIENTS WITH PANCREATIC CANCER

Abstract — The aim of this study was to analyze K-ras codon 12 mutation in the pancreatic tissue of Serbian patients with pancreatic cancer and assess whether the given mutation can be used as a molecular marker for this disease. The study was performed on pancreatic tissue samples obtained from 40 patients with clinical diagnosis of pancreatic cancer. The presence of K-ras codon 12 mutation was analyzed by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Our study showed that K-ras mutation is present with a high frequency (66%) in the pancreatic tissue of patients with pancretic cancer