Deep Learning Based Malware Detection Tool Development for Android Operating System

In today's world that called technology age, smartphones have become indispensable for users in many areas such as internet usage, social media usage, bank transactions, e-mail, as well as communication. The Android operating system is the most popular operating system that used with a rate of 85.4% in smartphones and tablets. Such a popular and widely used platform has become the target of malware. Malicious software can cause both material and moral damages to users.In this study, malwares that targeting smart phones were detected by using static, dynamic and hybrid analysis methods. In the static analysis, feature extraction was made in 9 different categories. These attributes are categorized under the titles of requested permissions, intents, Android components, Android application calls, used permissions, unused permissions, suspicious Android application calls, system commands, internet addresses. The obtained features were subjected to dimension reduction with principal component analysis and used as input to the deep neural network model. With the established model, 99.38% accuracy rate, 99.36% F1 score, 99.32% precision and 99.39% sensitivity values were obtained in the test data set.In the dynamic analysis part of the study, applications were run on a virtual smartphone, and Android application calls with strategic importance were obtained by hooking. The method called hybrid analysis was applied by combining the dynamically obtained features with the static features belonging to the same applications. With the established model, 96.94% accuracy rate, 96.78% F1 score, 96.99% precision and 96.59% sensitivity values were obtained in the test data set.</p

Skin manifestations following anti-COVID-19 vaccination: A multicentricstudy from Turkey

Purpose: After the emergence of the pandemic caused by the COVID-19 virus, vaccination with various vaccines has started to be implemented across the world. To identify dermatological reactions developing after the COVID-19 vaccines administered in Turkey and determine their clinical features and risk factors that may play a role in their development. Materials and Methods: The study included patients aged ≥18 years, who presented to 13 different dermatology clinics in Turkey between July 2021 and September 2021 after developing dermatological reactions following the administration of the COVID-19 vaccine. After providing written consent, the patients were asked to complete a standard survey including questions related to age, gender, occupation, comorbidities, the regular medication used, the onset of cutaneous reactions after vaccination, and localization of reactions. Dermatological reactions were categorized according to whether they developed after the first or second dose of the vaccine or whether they occurred after the inactivated or messenger RNA (mRNA) vaccine. The relationship between dermatological reactions and some variables such as gender and comorbidities was also evaluated. Results: A total of 269 patients [116 women (43.1%), 153 men (56.9%)] were included in the study. It was observed that the dermatological diseases and reactions that most frequently developed after vaccination were urticaria (25.7%), herpes zoster (24.9%), maculopapular eruption (12.3%), and pityriasis rosea (4.5%). The rate of dermatological reactions was 60.6% after the administration of the mRNA vaccine and 39.4% after that of the inactivated vaccine. There was a statistically significantly higher number of reactions among the patients that received the mRNA vaccine (p = 0.001). Conclusion: The most common reactions in our sample were urticaria, herpes zoster, and maculopapular eruption. Physicians should know the dermatological side effects of COVID-19 vaccines and their clinical features

Yapay Arı Kolonisi Algoritması Kullanarak Otomatik Ders Çizelgeleme

Çizelgeleme, belirli zaman aralıklarında kaynak kısıtları dikkate alınarak kabul edilir bir şekilde atama yapma işlemidir. Eğitim kurumları için ders programı hazırlama işlemi çizelgeleme çeşitlerinden biridir. Amaç, belirlenen kısıtlar çerçevesinde dönem derslerinin zaman çizelgesine yerleştirilmesidir. Eğitim kurumlarında ders programı genellikle idareciler tarafından elle hazırlanmaktadır. Bu çalışmasında, elle hazırlamayı gerektirmeyen, ders programını otomatik olarak hazırlayan bir program geliştirilmiştir. Programda Süleyman Demirel Üniversitesi Gelendost Meslek Yüksekokulu dönem dersleri ve ders görevlendirmeleri kullanılmıştır. Daha önceki çalışmalar incelenerek ve Gelendost Meslek Yüksekokulu'nun ihtiyaçları dikkate alınarak problemin kısıtları belirlenmiştir. Problemin çözümüne yönelik C# programlama dilinde, Yapay Arı Kolonisi algoritması kullanılarak, kullanıcı etkileşimli arayüze sahip bir program geliştirilmiştir. Çalışmalar sonucunda kullanılan algoritma ile uygun bir ders çizelgesi oluşturulmuş ve bu çizelgelerin raporları alınmıştı

Management of sentinel node re-mapping in patients who have second or recurrent breast cancer and had previous axillary procedures

Background: In patients with recurrent or second primary ipsilateral breast cancer, axillary staging is the key factor in locoregional control and a strong prognostic characteristic. The efficient evaluation of lymphatic drainage of re-sentinel lymph node biopsies (re-SLNBs) has remained a challenge in the management of ipsilateral primary or recurrent breast cancer patients who are clinically lymph node negative. This study explores whether a SLNB for patients with primary or recurrent breast cancer is possible after previous axillary surgery. It evaluates potential reasons for mapping failure that might be associated with patients in this group

Chitotriosidase as a novel biomarker of early atherosclerosis in hemodialysis patients

WOS: 000393616400011PubMed ID: 27378685Introduction: Increasing evidence suggests that inflammation and increased macrophage activity have a central role in pathogenesis of atherosclerosis. It is shown that chitotriosidase (CHIT-1) is a marker of macrophage activity in atherosclerotic plaque, and is found associated with severity of atherosclerotic lesion. There is no data about CHIT-1 activity of hemodialysis patients in the literature. Thus, we hypothesized that in hemodialysis patients, CHIT-1 levels might be a novel biomarker in early atherosclerosis. Methods: Forty-five hemodialysis patients were included in the study (age: 61.93 +/- 613.34). Intima media thickness (IMT) was evaluated with high-resolution B-mode ultrasonography. Biomarker levels were measured in serum of patients. Findings: We found positive correlation among IMT, age (R: 0.426, P: 0.004) and, CHIT-1 value (R: 0.462, P: 0.001) in spearman correlation analysis. When age, CRP, creatinine, P, Alb, CHIT-1 were chosen as measures that can effect IMT in multiple regression model, IMT level was related with CHIT-1 (Beta: 0,396, P: 0.012) and age (Beta: 0,313 P: 0,048) independently. Discussion: In conclusion, this is the first report showing that serum CHIT-1 level was related independently with carotid IMT in hemodialysis patients. This biomarker might have an unknown role in the development of atherosclerosis during uremia.Ahi Evran University Scientific Research Projects Unit [PYO.TIP.4001.15.001]This study was supported by the Ahi Evran University Scientific Research Projects Unit (Project Number PYO.TIP.4001.15.001)

Chitotriosidase as a novel biomarker of early atherosclerosis in hemodialysis patients

Introduction: Increasing evidence suggests that inflammation and increased macrophage activity have a central role in pathogenesis of atherosclerosis. It is shown that chitotriosidase (CHIT-1) is a marker of macrophage activity in atherosclerotic plaque, and is found associated with severity of atherosclerotic lesion. There is no data about CHIT-1 activity of hemodialysis patients in the literature. Thus, we hypothesized that in hemodialysis patients, CHIT-1 levels might be a novel biomarker in early atherosclerosis. Methods: Forty-five hemodialysis patients were included in the study (age: 61.93 +/- 613.34). Intima media thickness (IMT) was evaluated with high-resolution B-mode ultrasonography. Biomarker levels were measured in serum of patients. Findings: We found positive correlation among IMT, age (R: 0.426, P: 0.004) and, CHIT-1 value (R: 0.462, P: 0.001) in spearman correlation analysis. When age, CRP, creatinine, P, Alb, CHIT-1 were chosen as measures that can effect IMT in multiple regression model, IMT level was related with CHIT-1 (Beta: 0,396, P: 0.012) and age (Beta: 0,313 P: 0,048) independently. Discussion: In conclusion, this is the first report showing that serum CHIT-1 level was related independently with carotid IMT in hemodialysis patients. This biomarker might have an unknown role in the development of atherosclerosis during uremia