34 research outputs found
Shortest hop multipath algorithm for wireless sensor networks
AbstractShortest hop or distance path is one of the most common methods used for relaying messages in a wide variety of networks. It provides an efficient message relaying to destination in terms of energy and time. There are many algorithms for constructing shortest hop or distance path. However, according to our knowledge, no algorithm for constructing a shortest hop multipath for wireless sensor networks (WSNs) has yet been proposed in the literature. In this paper, we propose a novel distributed shortest hop multipath algorithm for WSNs in order to generate energy efficient paths for data dissemination or routing. The proposed algorithm generates shortest hop braided multipath to be used for fault-tolerance or load-balancing. It guarantees the BFS tree and generates near optimal paths in O(V.D+V) message complexity and O(D2) time complexity regarding the communication costs towards the sink after termination of algorithm
An Automatic Calibration Procedure of Driving Behaviour Parameters in the Presence of High Bus Volume
Most of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the O-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.</p
Baseline aortic pre-ejection interval predicts reverse remodeling and clinical improvement after cardiac resynchronization therapy
Background: Cardiac resynchronization therapy (CRT) has been shown to reduce heart
failure-related morbidity and mortality. However, approximately one in three patients do not
respond to CRT. The aim of the current study was to determine the parameter(s) which predict
reverse remodeling and clinical improvement after CRT.
Methods: A total of 54 patients (43 male, 11 female; mean age 61.9 ± 10.5 years) with heart
failure and New York Heart Association (NYHA) class III–IV symptoms and in whom left
ventricular ejection fraction (LVEF) was £ 35% and QRS duration was ≥ 120 ms, despite
optimal medical therapy, were enrolled. An echocardiographic examination was performed
before, and six months after, CRT. An echocardiographic response was defined as a reduction
of end-systolic volume ≥ 10% after six months, and a clinical response was defined as
a reduction ≥ 1 in the NYHA functional class score.
Results: An echocardiographic response was observed in 38 (70.4%) of the patients and
a clinical response occurred in 41 (75.9%) of the patients. Of the dyssynchrony parameters,
only the aortic pre-ejection interval (APEI) was observed to significantly predict the clinical
response (p = 0.048) and echocardiographic response (p = 0.037). A 180.5 ms cut-off value
for the APEI predicted the clinical response with a sensitivity of 92.3% and a specificity of
39%, and the echocardiographic response with a sensitivity of 93.0% and a specificity of 42%.
Conclusions: APEI derived from pulsed-wave Doppler, which is available in every echocardiography
machine, is a simple and practical method that could be used to select patients for CRT.
(Cardiol J 2011; 18, 6: 639–647
Levels of MicroRNA Heterogeneity in Cancer Biology
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression, involved in the silencing of messenger RNA (mRNA) translation. The importance of miRNA signatures in disease screening, prognosis, and progression of different tumor types and subtypes is increasing. miRNA expression levels change depending on numerous factors. In this review, we are describing the circumstances under which miRNA levels can change, these are named levels of heterogeneity of miRNAs. miRNAs can have oncogenic, tumor suppressive, or both roles depending on tumor type and target mRNA whose translation they silence. The expression levels of a single miRNA may vary across different cancer types and subtypes, indicating that a miRNA signature may be tissue specific. miRNA levels of expression also vary during disease formation and propagation, indicating the presence of a time profile for their expression. The complexity of the miRNA-mRNA interference network mirrors different genetic and epigenetic changes that influence miRNA and mRNA availability to each other, and hence, their binding ability. The potential role of miRNAs as biomarkers is two-fold; first, for monitoring of the phases of cancer pathogenesis, and second, to characterize the particular type/subtype of cancer. It is important that a particular miRNA should be characterized by examining as many types and subtypes of cancers as are available, as well as being extracted from different types of samples, in order to obtain a complete picture of its behavior and importance in the disease pathology
Significance of miR-15a-5p and CNKSR3 as Novel Prognostic Biomarkers in Non-Small Cell Lung Cancer
Background: In recent years, targeted cancer treatment methods at various molecular levels have been developed for Non-Small Cell Lung Cancer (NSCLC), one of two major subtypes of lung cancer. miRNAbased clinical trials are currently the preferred targeted therapeutic strategy. Also, ceRNAs (competing endogenous RNA) would be the newest and the most effective approach to uncover novel interactions between mRNAs and miRNAs in NSCLC carcinogenesis. There are many factors influencing the efficiency of a miRNA to suppress or silence translation of the target mRNA. The most effective event is the presence of other RNAs showing ceRNA activity. These RNAs contain binding sites for specific miRNAs and enable miRNAs to bind these pseudo targets, instead of the original binding sites on the target mRNA. Therefore, the mRNA of the target gene is less affected by this miRNA, while the amount of miRNA remains the same in the media. Method: For this project, we determined that five clinically important different oncogenes (PDL1, FGFR1, DDX3X, SLC1A5, FXR1) are involved in the pathogenesis of NSCLC. For this purpose, we transfected model NSCLC cell line, A549, with miRNAs (miR-150-5p, miR-15a-5p, miR-503-5p) targeting these oncogenes to investigate whether these oncogenes will be suppressed at the mRNA level and also how the suppression efficiency of these miRNA on the oncogenes will be affected by possible ceRNA (CNKSR3, POU2F1, HIPK2) activities. Results: miR-15a-5p was determined to have the most suppressive effect on the five genes and three potential ceRNAs (p<0.05). Furthermore, CNKSR3 was the ceRNA most affected by all three miRNAs (p<0.05). Conclusion: CNKSR3 was affected more than the oncogenes known to act on NSCLC and this might make it a stronger and novel marker for use in possible treatment regimens designed using miR-15a-5p silencing effect on oncogenes in NSCLC pathogenesis. According to the literature, this is the first study associating NSCLC with miR-15a-5p and CNKSR3. © 2018 Bentham Science Publishers
Rituximab as a glucocorticoid-sparing agent in idiopathic inflammatory myopathies: a retrospective single-center cohort study
Background Idiopathic inflammatory myopathies (IIM) are essentially treated aiming to improve muscle function and extra muscular disease manifestations. Rituximab is potentially a glucocorticoid-sparing agent which was reviewed in multiple studies with small sample sizes due to the rarity of the disease. Higher statistical power can enhance the trustworthiness of alternative treatment modalities yielding the main objective of this study
Physical inactivity and low quality of life in Turkish women after hospitalization for coronary heart disease: inferences from EUROASPIRE III
Objective: The present objective was to compare changes in lifestyle between (i) Turkish women and Turkish men, and (ii) Turkish women and European women, after hospitalization for coronary heart disease (CHD). Risk factor management, physical activity, mood, and quality of life (QOL) indices were compared
EVALUATION OF THE PLASMA MICRO RNA EXPRESSION LEVELS IN SECONDARY HEMOPHAGOCYTIC LYMPHOHISTIOCYTOSIS
Background: Hemophagocytic lymphohistiocytosis (HLH) is a life threatening hyper inflammatory disease. Micro RNAs (miRNA) are about 22 nucleotide-long, small RNAs encoded with genes, and they have regulatory functions in immune response.
Objective: To determine the miRNA expression levels of 11 secondary HLH patients, we evaluated the associations of miRNA levels with pathogenesis, clinical presentation, and prognosis of the disease.
Patients and Methods: Patients who were diagnosed with secondary HLH from January 2011 to December 2012 were included in this study. We profiled the expressions of 379 miRNAs in plasma of both HLH patients and healthy controls. Patients were evaluated regarding with age, clinical findings, miRNA expresions, laboratory data, treatment, and prognosis, by using descriptive statistics.
Results: A total of 11 secondary HLH patients and 11 healthy children were included in this study. miR-205-5p was expressed in all case and controls and expression level of miR-205-5p was found 6.21 fold higher than control group (p=0.01). We detected the second highest expression percent in miR-194-5p with 81% of cases and controls. Expression level of miR-194-5p was found to have 163 fold higher than controls (p= 0.009). miR-30c-5p showed 77% expression percent in cases and controls together. The expression level of this miRNA was detected 9 fold decreased in HLH patients compared to healthy children (p= 0.031). Conclusion: We showed that miR-205-5p, miR-194-5p and miR-30c-5p could be useful plasma biomarkers for HLH. Further research is needed in larger and homogenous study groups, especially for these miRNAs as biomarkers for HLH
The Diagnostic and Prognostic Value of First Hour Glycogen Phosphorylase Isoenzyme BB Level in Acute Coronary Syndrome
Background: Evaluating patients with symptoms suggestive of acute coronary syndrome (ACS) is a time consuming, expensive and problematic process in the emergency department. This study aimed to evaluate the diagnostic and prognostic value of glycogen phosphorylase isoenzyme-BB (GP-BB) in ACS. Methods: A total of 72 patients (mean age 61.8 +/- 11.6 years) with ACS were enrolled. The ELISA method for determining GP-BB level was performed and considered positive at > 10 ng/mL. Duration of angina, type of ACS, demographic features, myoglobin, creatinine kinase and troponin T (cTnT) were also assessed. The cTnT levels eight hours after pain onset was considered the gold standard test for the diagnosis of myocardial infarction. Results: The most sensitive biomarker at first hour of admission was GP-BB (95.8%). However, the specificity of GP-BB was low (43.7%). Receiver operating characteristics curve analysis of the GP-BB level for predicting myocardial infarction revealed the area under the curve value as 0.82 (SE 0.04; 95% CI 0.78-0.85). Positive treadmill exercise test (60% vs 17%, p = 0.047), coronary artery disease (CAD; 59% vs 19%, p = 0.007), percutaneous coronary intervention (44% vs 27%, p = 0.031) and 30-day mortality and/or readmission (33% vs 5%, p = 0.028) were found to be higher in unstable angina (UA) patients having GP-BB (+). Conclusions: GP-BB is considerably cardiosensitive at the first hour of admission in patients with ACS, but the specificity of GP-BB is lower and it is elevated in nearly half of the patients with UA. However, in this group, GP-BB predicts significant CAD and the combined end-point of mortality and re-hospitalization. (Cardiol J 2011; 18, 5: 496-502)WoSScopu