Gibalno ovirani študenti imajo pravico, da se samostojno gibajo po celotnem območju kampusa. Avtorice v članku predstavljajo model vrednotenja poti, ki temelji na kriterijih dostopnosti in omogoča, ...da se v univerzitetnem kampusu določijo najustreznejše poti za invalidne osebe. Najprej so glavne dejavnike dostopne mobilnosti določili in ovrednotili gibalno ovirani študenti, nato pa so avtorice z metodo analitičnega hierarhičnega procesa določile uteži kriterijem in alternativam poti. Študenti so ovrednotili mrežo poti v kampusu univerze İnönü, ki so ga avtorice izbrale za raziskavo, pri čemer so ocenili tudi dostopnost treh glavnih poti v kampusu. Izsledki so pokazali, da sta med desetimi ključnimi kriteriji najpomembnejša naklon klančin in vrsta tlaka. Avtorice so s terensko analizo po trdile pravilnost rezultatov, pridobljenih z metodo analitičnega hierarhičnega procesa. Na podlagi izsledkov so oblikovale model določanja optimalne poti s čim manj ovirami za čim lažje vsakodnevno gibanje invalidnih oseb.
Students with mobility impairments have the right to move independently throughout university campuses. This study presents a model to evaluate routes based on accessibility criteria to determine the ...most suitable paths for disabled individuals navigating a university. First, the main factors of accessible mobility were determined and rated by students with physical disabilities. Within this context, this study used the analytical hierarchy process (AHP) to weight criteria and route alternatives. İnönü University was selected for quantifying the path network of its campus by physically handicapped students. Three main campus routes were evaluated to find the most accessible route for students. Based on the results, among ten key factors, ramp slope and paving are the most important. Furthermore, on-site analyses demonstrated the accuracy of the AHP method for this research. Contributions of the study include a model for determining the optimal route with the fewest physical obstacles to facilitate disabled individuals' daily movement.
Epilepsy is one of the most common neurological disorders associated with disruption of brain activity. In the classification and detection of epileptic seizures, electroencephalography (EEG) ...measurements, which record the electrical activities of the brain, are frequently used. Empirical mode decomposition (EMD) and its derivative, ensemble EMD (EEMD) are recently developed methods used to decompose non-stationary and nonlinear signals such as EEG into a finite number of oscillations called intrinsic mode functions (IMFs). Our main objective in this study is to present a hybrid IMF selection method combining four different approaches (energy, correlation, power spectral distance, and statistical significance measures), and investigate the effect of selected IMFs extracted by EMD and EEMD on the classification. We have applied the proposed IMF selection approach on the classification of EEG signals recorded from epilepsy patients who are under treatment at our collaborator hospital. Multichannel EEG signals collected from epilepsy patients are decomposed into IMFs, and then IMF selection was performed. Finally, time- and spectral-domain, and nonlinear features are extracted and feature sets are created for the classification.
The maximum classification accuracies obtained using various combinations of IMFs were 94.56%, 95.63%, 96.8%, and 96.25% for SVM, KNN, naive Bayes, and logistic regression classifiers, respectively, by using EMD analysis; whereas, the EEMD approach has provided maximum classification accuracies of 96.06%, 97%, 97%, and 96.25% for SVM, KNN, naive Bayes, and logistic regression, respectively. Classification performance with the same features obtained using direct EEG signals instead of the decomposed IMFs was worse than the aforementioned 2 approaches for every combination.
Simulation results demonstrate that the proposed IMF selection approach affects the classification results. Also, EEMD provides a robust method for feature extraction from EEG signals in order to classify pre-seizure and seizure segments.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Objective: Ankyloglossia is a benign anomaly of the tongue which may cause functional limitation. Evidence regarding the impact ofankyloglossia on children’s language development is limited. We aimed ...to evaluate the language development of children born withankyloglossia.Patients and Methods: Children diagnosed with ankyloglossia were followed up prospectively. Demographic characteristics, degreeof ankyloglossia assessed by Hazelbaker score in infancy and its effects on breastfeeding were evaluated. Language development wastested by the Turkish version of the Test of Early Language Development-Third Edition and the Denver II Test at 3-5 years of age.Results: Out of 53 children diagnosed with ankyloglossia, 38 (71.7%) children had language development testing and were included intothe study. Significant ankyloglossia was detected in infancy in 10 of these children (26.3%). Median time of exclusively breastfeedingwas not different according to the severity of ankyloglossia. All children evaluated with Denver II Test were developmentally normalin all domains. Scores of Test of Early Language Development-Third Edition were not different between children with and withoutsignificant ankyloglossia.Conclusion: Long term language development of children with ankyloglossia was not adversely affected. Parents should beappropriately informed and efforts must be paid to prevent unnecessary surgical interventions concerning language delay.
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