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Yayın Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images(Elsevier B.V., 2021-06) Sheykhivand, Sobhan; Mousavi, Zohreh; Mojtahedi, Sina; Yousefi Rezaii, Tohid; Farzamnia, Ali; Meshgini, Saeed; Saad, IsmailThe novel coronavirus (COVID-19) could be described as the greatest human challenge of the 21st century. The development and transmission of the disease have increased mortality in all countries. Therefore, a rapid diagnosis of COVID-19 is necessary to treat and control the disease. In this paper, a new method for the automatic identification of pneumonia (including COVID-19) is presented using a proposed deep neural network. In the proposed method, the chest X-ray images are used to separate 2–4 classes in 7 different and functional scenarios according to healthy, viral, bacterial, and COVID-19 classes. In the proposed architecture, Generative Adversarial Networks (GANs) are used together with a fusion of the deep transfer learning and LSTM networks, without involving feature extraction/selection for classification of pneumonia. We have achieved more than 90% accuracy for all scenarios except one and also achieved 99% accuracy for separating COVID-19 from healthy group. We also compared our deep proposed network with other deep transfer learning networks (including Inception-ResNet V2, Inception V4, VGG16 and MobileNet) that have been recently widely used in pneumonia detection studies. The results based on the proposed network were very promising in terms of accuracy, precision, sensitivity, and specificity compared to the other deep transfer learning approaches. Depending on the high performance of the proposed method, it can be used during the treatment of patients.Yayın Clinical decision making system for early diagnosis of types of SMA disease(Işık Üniversitesi, 2019-07-29) Taner, Çağlayan Onur; Çavdaroğlu, Gülsüm Çiğdem; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans ProgramıSpinal muscular atrophy (SMA) is a strict neuromuscular disease that is the most common in infancy, and the third one among young people under 18 years. Diagnose of this diseases can be delayed because symptoms of them can be confused with another diseases. Thus life quality of patient has reduced. Meanwhile, with progression of disease treatment has gotten hard. After diagnose, disease can be treated with di erent methods such as treatment with medicine, care closely. Applications that conducive early diagnose such as decision making system has recruitted to wipe diseases out. My project is a decision making system that shows us to probability of diseases when patients symptoms are entered to the system. It consist of a software system and Excel tables that keeping data and doing mathematical operations. Thanks to this, diagnose process has gotten shorter and it enables to early diagnose. Main focus on my project is to gather maximum number of data that I can obtain and giving of program to the most correctly results. Doctor who uses it has logged in ID number of patient to interface, this le saved with named this ID number. Then age and gender informations are entered and main screen which consist of symptoms has come. Doctor can choose the symptoms of patient easily. After that, according to this symptoms probability of diseases are showed on the screen.Yayın An endoscopie imaging system based on a two-dimensional CMUT array: real-time imaging results(IEEE, 2005) Wygant, Ira O.; Zhuang, Xuefeng; Yeh, David T.; Vaithilingam, Srikant; Nikoozadeh, Amin; Oralkan, Ömer; Ergün, Arif Sanlı; Karaman, Mustafa; Khuri-Yakub, Butrus ThomasReal-time catheter-based ultrasound imaging tools are needed for diagnosis and image-guided procedures. The continued development of these tools is partially limited by the difficulty of fabricating two-dimensional array geometries of piezoelectric transducers. Using capacitive micromachined ultrasonic transducer (CMUT) technology, transducer arrays with widely varying geometries, high frequencies, and wide bandwidths can be fabricated. A volumetric ultrasound imaging system based on a two-dimensional, 16×l6-element, CMUT array is presented. Transducer arrays with operating frequencies ranging from 3 MHz to 7.5 MHz were fabricated for this system. The transducer array including DC bias pads measures 4 mm by 4.7 mm. The transducer elements are connected to flip-chip bond pads on the array back side with 400-?m long through-wafer interconnects. The array is flip-chip bonded to a custom-designed integrated circuit (IC) that comprises the front-end electronics. Integrating the front-end electronics with the transducer array reduces the effects of cable capacitance on the transducer's performance and provides a compact means of connecting to the transducer elements. The front-end IC provides a 27-V pulser and 10-MHz bandwidth amplifier for each element of the array. An FPGA-based data acquisition system is used for control and data acquisition. Output pressure of 230 kPa was measured for the integrated device. A receive sensitivity of 125 mV/kPa was measured at the output of the amplifier. Amplifier output noise at 5 Mhz is 112 nV/?Hz. Volumetric images of a wire phantom and vessel phantom are presented. Volumetric data for a wire phantom was acquired in real-time at 30 frames per second.Yayın Annelerin psikolojik dayanıklılığının ve duygu sosyalleştirme stratejilerinin çocukların duygu düzenleme becerileri üzerindeki rolü(Galenos Publishing House, 2024-03) Gürses, Dilara; Aktan, Zekeriya Deniz; Ülkümen, İpekAmaç: Bu araştırma, 48-72 aylık çocuklara sahip annelerin psikolojik dayanıklılık puanları ile duygu sosyalleştirme stratejileri puanlarının, bazı sosyodemografik değişkenler kontrol edikten sonra çocuklarının duygu düzenleme becerileri üzerindeki yordayıcı rolünü incelemeyi amaçlamaktadır. Gereç ve Yöntem: Kartopu ve kolayda örnekleme yöntemi ile ulaşılan, 48-72 aylık çocuğu olan 659 anne ile yapılan araştırmada veriler, Sosyodemografik Bilgi Formu, Duygu Düzenleme Ölçeği, Çocukların Olumsuz Duygularıyla Başa Çıkma Ölçeği ve Erişkin Yılmazlık Ölçeği aracılığıyla gönüllülük esasına göre çevrimiçi olarak toplanmıştır. Bu araştırma ilişkisel tarama modeline dayanan kesitsel bir çalışmadır. Bulgular: Analiz sonuçlarına göre, annelerin psikolojik dayanıklılık puanları çocukların duygu düzenleme becerilerini pozitif yönde anlamlı düzeyde (?=0,279; p<0,01); annelerin destekleyici duygu sosyalleştirme stratejileri puanları çocukların duygu düzenleme becerilerini pozitif yönde anlamlı düzeyde (?=0,220; p<0,01); annelerin destekleyici olmayan duygu sosyalleştirme stratejileri puanları çocukların duygu düzenleme becerilerini negatif yönde anlamlı düzeyde (?=-0,260; p<0,01) yordamaktadır. Çoklu doğrusal regresyon analizi sonuçlarında ise çocuk cinsiyeti ve ailedeki çocuk sayısı sosyodemografik değişkenleri kontrol edildikten sonra, annenin psikolojik dayanıklılığı, destekleyici ve destekleyici olmayan duygu sosyalleştirme stratejileri puanlarının, duygu düzenleme puanlarının anlamlı yordayıcıları olduğu bulunmuştur (p<0,01). Sonuç: Bu bulgular annenin psikolojik dayanıklılığının ve annelerin kullandıkları duygu sosyalleştirme stratejilerinin çocuğun duygusal gelişimi üzerindeki önemini göstermektedir. Dolayısıyla çocukların duygu düzenleme becerilerini geliştirmeye yönelik terapötik müdahale ve programlara annelerin de dahil edilmesinin terapi verimliliğini artırabileceği düşünülmektedir. Aynı zamanda araştırma bulgularının, ebeveynin psikolojik dayanıklılığı ve duygu sosyalleştirme stratejileri ile duygu düzenleme becerileri arasındaki ilişkiyi ortaya koyarak literatüre ışık tutacağına inanılmaktadır.Yayın The comparison of psychological factors and executive functions of children with Attention Deficit Hyperactivity Disorder and Cognitive Disengagement Syndrome to ADHD and ADHD comorbid with Oppositional Defiant Disorder(SAGE Publications Inc., 2024-10) İnci İzmir, Sevim Berrin; Aktan, Zekeriya Deniz; Ercan, Eyüp SabriObjective: The study aims to examine family functionality, emotion regulation difficulties, preference for loneliness, social exclusion, internalizing and externalizing disorders, and executive functions in children with Attention Deficit Hyperactivity Disorder (ADHD) and Cognitive Disengagement Syndrome (CDS) and compare with ADHD, and ADHD+ Oppositional Defiant Disorder (ODD). Method: This study included 842 children aged 8–12 years. The subjects were categorized according to DSM-V as ADHD (n = 246), ADHD + ODD (n = 212), ADHD + CDS (n = 176), and Control group (n = 207). The solitude and social exclusion, difficulties in emotion dysregulation and Barkley SCT scales, Child Behavior Checklist, family assessment device, and Central Vital Signs (CNSVS) test were used. Results: According to the study, children with ADHD + CDS had higher rates of internalizing disorders. They also preferred being alone and experienced more difficulty communicating with their parents and solving problems within the family. Additionally, these children had difficulty recognizing and understanding the emotional reactions of others. The ADHD + ODD group presented a poorer performance on CNSVS domain tests except for the psychomotor speed test than other groups. Also, ADHD + CDS children had the lowest psychomotor speed scores and lower scores on reaction time and cognitive flexibility than pure ADHD children. Conclusion: This study will contribute to the etiology, treatment, and clinical discrimination of ADHD + CDS.Yayın Reliability of direct-to-home teleneuropsychological assessment: a within-subject design study(Routledge, 2025-07-04) Yıldırım, Elif; Soncu Büyükişcan, Ezgi; Akça Kalem, Şükriye; Gürvit, HakanObjective: During the COVID-19 pandemic, the need to continue diagnosis and treatment processes, in addition to scientific research, led to a rapid shift towards direct-to-home tele-neuropsychology administrations, the reliability and validity of which had not been clearly established then. This study, therefore, aimed to examine the reliability of direct-to-home tele-neuropsychological assessment (TNP). Method: The sample included 105 cognitively healthy individuals aged between 50–83 years, and 47 patients diagnosed with neurocognitive disorders (mild cognitive impairment and early-stage Alzheimer’s type dementia). All participants underwent both face-to-face and teleneuropsychological assessments in a counterbalanced order. Results: The results revealed that performances across measures of attention, working memory, verbal fluency, verbal and visual memory, and visual perception were comparable across assessment modalities. Intraclass correlation coefficients of the tests ranged from.54 to.92. Conclusions: The findings of the study provide support for direct-to-home teleneuropsychological assessment among patients with neurocognitive disorders. Neuropsychological tests relying on verbal administration and independent of motor performance may represent a reliable alternative for this patient group when administered in settings where external distractions or technological limitations are controlled. For cognitively healthy individuals, on the other hand, the reliability of the TNP application is more questionable for memory and some executive function tests and therefore needs further exploration.Yayın Theta and Beta1 frequency band values predict dyslexia classification(John Wiley and Sons Ltd, 2025-12-29) Eroğlu, Günet; Harb, Mhd Raja AbouDyslexia, impacting children's reading skills, prompts families to seek cost-effective neurofeedback therapy solutions. Utilising machine learning, we identified predictive factors for dyslexia classification. Employing advanced techniques, we gathered 14-channel Quantitative Electroencephalography (QEEG) data from 200 participants, achieving 99.6% dyslexic classification accuracy through cross-validation. During validation, 48% of dyslexic children's sessions were consistently classified as normal, with a 95% confidence interval of 47.31 to 48.68. Focusing on individuals consistently diagnosed with dyslexia during therapy, we found that dyslexic individuals exhibited higher theta values and lower beta1 values compared to typically developing children. This study pioneers machine learning in predicting dyslexia classification factors, offering valuable insights for families considering neurofeedback therapy investment.Yayın Validation and normative data study for the Turkish version of the movie for the assessment of social cognition (MASC-TR)(Oxford University Press, 2026-02-05) Şandor, Serra; Hıdıroğlu-Ongun, Ceren; Tanfer, Mehmet Can; Gürkaş, Sena; Bora, Emre; Yıldırım, ElifObjective This study aimed to adapt the Movie for the Assessment of Social Cognition (MASC) into Turkish (MASC-TR), examine its psychometric properties, and establish normative data. Additionally, the study investigated the discriminative validity of the MASC-TR in differentiating individuals with autism spectrum disorder (ASD) from healthy controls. Methods The sample comprised 228 healthy adults and 29 individuals with ASD aged 18–45 years. Participants completed the MASC-TR along with established measures of theory of mind (ToM)—the Reading the Mind in the Eyes Test (RMET) and the Faux Pas Recognition Test (FPRT)—as well as non-social cognitive tasks assessing attention, working memory, and executive functions. Reliability analyses included internal consistency and test–retest reliability. Construct validity was assessed via convergent and discriminant correlations. Group comparisons and receiver operating characteristic analyses were used to evaluate discriminative validity, while multifactorial analysis of variance and regression analyses examined demographic effects. Results The MASC-TR demonstrated acceptable internal consistency (α=0.75) and excellent test–retest reliability (ICC=0.98). Significant positive correlations with RMET and FPRT supported convergent validity. Education level emerged as the only significant demographic predictor of MASC-TR performance. The MASC-TR successfully differentiated individuals with ASD from controls (t=−3.87, p<.001), with an optimal cutoff of 23.5 yielding 97% sensitivity and 52% specificity (area under the curve=0.72). Conclusions The findings indicate that the MASC-TR is a valid and reliable measure of social cognition in Turkish adults. The availability of culturally adapted normative data enhances its clinical and research utility for assessing ToM functioning across populations.
