On the Lucas Difference Sequence Spaces Defined by Modulus Function

In this paper, firstly, we define the Lucas difference sequence spaces by the help of Lucas sequence and a sequence of modulus function. Besides, we give some inclusion relations and examine geometrical properties such as Banach-Saks type p, weak fixed point property

CEP-Controlled Molecular Dissociation by Ultrashort Chirped Laser Pulses

We demonstrate and characterize that a carrier-envelope-phase (CEP)-controlled ultrashortchirped field is an efficient and robust mechanism to modify the dissociation dynamics of molecularhydrogen. Different dissociation pathways are collectively induced and their interference contributeto the kinetic energy release spectra. Chirping is able to efficiently manipulate the interferencesof different dissociation pathways. We demonstrate a linear relationship between chirp and CEP-dependence, dissociation as well as directional electron localization

Mucopolysaccharidosis Type-II with Pathognomonic Skin Appearance: A Case with Pebbling Sign

Mucopolysaccharidosis type-II (MPS-II) is an X-linked lysosomal storage disorder. Here, we report an 8-year-old boy with pebbling sign in the scapular region, coarse facies, claw hand, diastolic murmur, and hepatomegaly. With decreased iduronate-2-sulfatase activity and hemizygous mutation in the IDS gene, the diagnosis was MPS-II. Pebbling sign is a rare but pathognomonic sign of MPS-II

Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity

Objective Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted with many problems. Method A novel classification approach that discriminates ADHD and nonADHD groups over the time-frequency domain features of event-related potential (ERP) recordings that are taken during Stroop task is presented. Time-Frequency Hermite-Atomizer (TFHA) technique is used for the extraction of high resolution time-frequency domain features that are highly localized in time-frequency domain. Based on an extensive investigation, Support Vector Machine-Recursive Feature Elimination (SVM-RFE) was used to obtain the best discriminating features. Results When the best three features were used, the classification accuracy for the training dataset reached 98%, and the use of five features further improved the accuracy to 99.5%. The accuracy was 100% for the testing dataset. Based on extensive experiments, the delta band emerged as the most contributing frequency band and statistical parameters emerged as the most contributing feature group. Conclusion The classification performance of this study suggests that TFHA can be employed as an auxiliary component of the diagnostic and prognostic procedures for ADHD. Significance The features obtained in this study can potentially contribute to the neuroelectrical understanding and clinical diagnosis of ADHD. © 2017 International Federation of Clinical Neurophysiolog

Skin lines and dermatology [Deri çizgileri ve dermatoloji]

The terms which includes dermatomes, Blaschko lines, Voight, Langer demercation lines are used while being described the localizations of several acquired and congenital diseases, drug eruptions in dermatology. But Blaschko lines may confuse with other patterns such as dermatomes and Langer's lines. In this report, we review the knowledges of references and literature and we studied to determine the formation of Blaschko lines and associated with skin diseases

Source localization in human information processing via hybrid functional magnetic resonance imaging and electroencephalography,

Karakaş, Sirel (Dogus Author) -- Conference full title: Proceedings of the 18th World Congress of Psychophysiology (IOP2016) of the International Organization of Psychophysiology (IOP) Havana, Cuba August 31st to September 4th, 2016.MCI, indicating delta responses may predict the conversion from MCI to AD. In conclusion, event-related brain oscillations are important correlates of cognitive processes and have the potential to be investigated as a candidate biomarker for screening of large populations at risk, as well as in the diagnosis and course of AD

Lichen striatus following HBV vaccination [3]

PubMedID: 16043931[No abstract available