3586 research outputs found
Sort by
Lightweight Hyperparameter Optimization Model for Enhancing Phishing Detection in IoT
No full textThis study presents an enhanced machine learning approach that emphasizes the optimization of hyperparameters to improve phishing detection, particularly in resource-constrained environments like Internet of Things (IoT) devices. Phishing is considered one of the most dangerous cyberattacks, where attackers can reveal sensitive information about a user's identity, password, privacy, and properties. Machine learning techniques and tools play an important role in detecting phishing and have shown to be effective and advantageous methods for detection and classification, especially for the unified resource locator (URL). The proposed model presupposes a systematic approach for feature selection as well as finding the optimized hyperparameter values for the sake of increasing the detection quality while maintaining the low computational complexity of the process. This study examines how feature set selection from a training dataset and how hyperparameter tuning can significantly improve the performance of phishing attacks. Logistic regression, random forest, gradient boosting, support vector machine, and k-nearest neighbors are used in this study. According to the experiment, we found the best hyperparameter values for each classifier and comparative results of the implemented classification algorithms showed that the Random Forest classifier achieved the best performance with an accuracy of 98% and the best hyperparameter values were 200 for the n_estimator and 20 for the max_depth
HABİRULAR: ESKİ YAKINDOĞU’DA EŞKIYA BİR TOPLULUK
No full textÇivi yazılı belgelerde ve az da olsa Mısır hiyeroglif yazısıyla tutulan kayıtlarda Habirular’ın çeşitli isimlerle zikredildikleri görülmektedir. Bu isimlerden en iyi bilinenleri LÚ.SA-GAZ, Habiru ve Apiru’dur. Eski Yakındoğu tarihinde genellikle saldırgan ve eşkıya özellikleriyle tanınan bu topluluktan çeşitli devletlerin kayıtlarında bilgiler mevcuttur. Bununla birlikte Habirular’dan en yoğun olarak söz eden vesikalar külliyatı ise Orta Mısır’dan gün yüzüne çıkarılan Amarna Mektupları’dır. Hakikaten bu mektuplar incelendiğinde özellikle Suriye-Filistin bölgesindeki şehir devletlerinden Mısır’a yazılmış olanlarda Habirular’dan çok sık söz edildiği görülmektedir. Diğer belgelerde olduğu gibi bu mektuplarda da Habiru toplulukları olumsuz davranışlarıyla anılmıştır. Belgelere bakıldığında şehirleri yağmalayan, eşkıyalık yapan, tüccarların yolunu kesen bir toplulukla karşı karşıya kalan insanların sitemleri bir hayli dikkat çekmektedir. Her ne kadar yazılı vesikalarda sık sık zikrolunan bir topluluk olsa da Habirular’ın kökeninin tespiti ise tam olarak mümkün olmamıştır. Gerek Amarna Arşivi’nden gerekse önceki dönemlerden günümüze kadar gelen vesikalar incelendiğinde Habiru topluluğunu tek bir kökene mensup insanların oluşturmadığı, daha ziyade çeşitli kavimlerden kimselerin belli nedenlerden ötürü bir araya gelmeleri sonucu böyle bir sosyal kitlenin zuhur ettiği anlaşılmaktadır. Bu insanların ise yerleşikler arasında tutunamadıkları; meskûn mahallerden uzaklaşmak zorunda kaldıkları ya da kovuldukları öngörülmektedir. Hebrew/İbrani kelimesiyle çok yakın bir benzerlik taşımasından dolayı da bazı bilim insanları onların İbraniler’le aynı toplum olabileceğini düşünmüşlerdir. Bazı bilim insanları ise buna katılmamışlardır
Product Difference Fibonacci Identities Revisited: Quaternionic Generalizations of Everman and Koshy
No full textIn this paper, we investigate new identities involving generalized Fibonacci and Lucas sequences, as well as their associated quaternions. After establishing the fundamental properties of these generalized number sequences, we derive quaternionic extensions of product-difference identities originally introduced by Everman and Koshy for Fibonacci numbers. These results not only generalize classical identities, but also reveal new algebraic structures within the framework of generalized quaternion sequences
Organization as the abuser: Introducing & operationalizing organizational mistreatment
No full textThe present study conceptualizes and operationalizes organizational mistreatment, employee perceptions of receiving offensive, hostile, and demeaning treatment from their organization, thereby addressing a gap in the workplace mistreatment literature. Using qualitative and quantitative research methodologies and drawing upon three independent samples, we defined the domain of organizational mistreatment, developed a measure tapping this construct, showed the construct validity of the developed measure, and examined its criterion-related and incremental validity. The results show that employees across diverse industries and organizational types can identify harmful acts in which their organization is perceived as the perpetrator. This study is the first to delineate the domain of the organizational mistreatment construct. The results indicate that the newly developed scale is internally consistent and unidimensional, distinct from abusive supervision, and has criterion-related validity with respect to important outcome variables (i.e., counterproductive work behaviors, affective organizational commitment, job satisfaction, subjective well-being, and burnout). We discuss implications of the construct and the measure together with the limitations of the study. © 2025 Elsevier B.V., All rights reserved.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK, (119K363); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK; Orta Doğu Teknik Üniversitesi, (049-ODTU-2019); Orta Doğu Teknik Üniversites
A 4D fractional-order meminductor-inspired system with controllable multi-scroll dynamics for ECG signal encryption
No full textThis paper introduces a novel four-dimensional (4D) fractional-order (FO) chaotic system inspired by meminductor dynamics. The system's fundamental dynamics are characterized through phase portraits, bifurcation diagrams, Lyapunov exponents, and Kaplan-Yorke dimension, confirming behavior over a wide parameter range. A significant feature of the proposed system is the integration of a unified piecewise-linear (PWL) function, enabling the controllable generation of 1D, 2D, and 3D multi-scroll attractors. To demonstrate a potential application, the proposed system is utilized in a chaos-based encryption scheme for Electrocardiogram (ECG) signals, aiming to enhance patient data privacy during transmission or storage. The proposed cryptosystem features a plaintext-dependent key generation mechanism and a robust permutation-diffusion architecture. Security analyses performed on the encrypted ECG signal, including histogram uniformity, correlation, information entropy, Number of Pixels Changing Rate (NPCR), and Unified Average Changed Intensity (UACI), yield results close to ideal theoretical values (e.g., information entropy ? 7.9984, correlation coefficient ? 0.0030, NPCR ? 99.63 %, and UACI ? 33.54 %). This demonstrates the encryption scheme's effectiveness against common statistical and differential attacks. In addition, an STM32H7-based digital realization reproduces the main chaotic attractors via dual-DAC outputs, confirming the feasibility of low-cost embedded implementation. © 2025 Elsevier B.V., All rights reserved
To what extent the number of bypass diodes influence the performance of PV modules: probabilistic assessment
No full textThe growing reliance on PV systems necessitates in-depth understanding of relationship between bypass diodes and probabilistic non-uniform irradiance from the perspective of global MPP. Non-uniform irradiance conditions cause the global MPP occurring at different locations on power-voltage curve. Thus, not only the power but also the probability of voltage locations is of great importance for system performance. By developing a customizable cell-based model on Simscape, current, voltage, and power probability densities are obtained under heavily to lightly non-uniform conditions. Probabilistic analyses are then performed considering different bypass diode configurations and series-connected PV modules. The voltage ranges corresponding to global MPPs are identified, and it is assessed-probabilistically-whether these MPPs occur near open-circuit or short-circuit regions, as well as how wide voltage window is. These voltages are observed to cluster in certain bands. Another important question is how voltage bands and probabilities change with shading and at which shading intensity number of bypass diodes is effective in improving performance. The threshold non-uniform irradiance is analyzed through the results obtained depending on number of bypass diodes and modules. Findings reveal that, depending on shading intensity, increasing number of bypass diodes can enhance power output by up to 113 % compared to conventional PV modules
Diffuse ganglioneuromatosis of cecum presenting as a rare cause of pediatric intestinal obstruction: a case report
No full textIntroductionGanglioneuromas (GNs) are rare, benign tumors originating from undifferentiated neural crest cells, especially the autonomic nervous system (sympathetic). Ganglioneuromas, located in the gastrointestinal tract, are classified into three groups: single polypoid lesion, ganglioneuromatous polyposis, and the rarest, diffuse intestinal ganglioneuromatosis. In this report, we present the case of an 11-year-old girl who presented with complete distal intestinal obstruction and was diagnosed with isolated diffuse ganglioneuromatosis.Case PresentationAn 11-year-old girl was consulted by our emergency department with complaints of not passing stool for 4 days, abdominal distension, and vomiting. She previously underwent a laparotomy for an acute abdomen three years prior. Severe malnutrition, anemia, and growth retardation were observed. Due to significant abdominal distention and shortness of breath, the patient was taken to surgery with a preliminary diagnosis of ileus. The cecum had a mass-like appearance and was immobile, adhering to the upper right quadrant and the lower corner of the ascending colon. The colon appeared to be unused. Milking of the ileal loops showed no passage through the cecum. A resection was performed, including 2 cm of ileum and an ascending colon, and an ileo-colic anastomosis was performed. The pathology report highlights hyperplasia of ganglion cells and nerve fibers. NSE and S-100 immunohistochemical staining were positive. It is interpreted as consistent with diffuse ganglioneuromatosis. The patient exhibited improvement in malnutrition status and correction of anemia. Genetic analysis has not revealed any mutations. Patient is followed up without complications.ConclusionsSince it is a very rare entity, we aimed to draw attention to the importance of the diagnosis. Ileus is a relatively common surgical pathology that needs intervention. The diagnosis is very important, as it can be both a differential diagnosis of surgical pathologies and the first sign of possible related genetic syndromes
Digitalization and Women’s Rights: Volume 1
No full textTechnological advancements frequently hinder the progress of women in the business sphere. In our current landscape, the rapid evolution of technology-driven by digital transformation-has created significant barriers to women’s participation. This has given rise to new forms of discrimination that often go unacknowledged and unaddressed. The unfortunate reality is that this issue is sidelined in discussions about the economy and broader implications for employment. We must recognize and confront the unique challenges women face in this technological age, as their exclusion not only impacts them but also stifles innovation and growth in our economy. It is time to advocate for a more inclusive approach that empowers women in the tech world. In this vital context, it is essential to recognize the discrimination and emerging challenges that women will face, although these issues may not have been previously explored in sufficient detail. This work has been thoughtfully created to fill that gap, serving as a crucial reference about these matters. By shedding light on existing gaps in the research, this book promises to enrich future studies and provide invaluable insights for researchers who investigate and evaluate related works. One of the most pressing challenges ahead for women in the rapidly evolving digital landscape is understanding and navigating the economic opportunities available to them. As we enter this new era, women will undergo a transformative journey that demands adaptability and learning in the face of continuous innovation. This work aspires to contribute significantly to these conversations and empower women as they embrace the future. © 2025 Elsevier B.V., All rights reserved
Brief History of Group Psychotherapy Congresses at Bergama Asclepion
No full textIn Asklepions, which were ancient hospitals, treatment methods that were considered quite advanced for their time were applied. Asklepion of Pergamon is one of the places where the first psychiatric approach to patients and group psychotherapy practices were performed in the history of medicine. Based on this historical background, Bergama Asklepion International Group Psychotherapy Congresses have been held in Asklepion of Pergamon (today Bergama in Türkiye) since 1984. The 48th of these congresses will be held in 2025. This monograph was written to explain the brief history and current function of the Bergama Asklepion International Group Psychotherapy Congresses
An academic evaluation of ChatGpt's ability and accuracy in creating patient education resources for rare cardiovascular diseases
No full textGenerative Pre-trained Transformer (ChatGPT) is a web-based artificial intelligence assistant with the potential to provide information, answer questions, and make recommendations on various topics. Rare cardiovascular diseases (rCVD) are among the health problems that require specialized knowledge and attention, and web databases provide relatively limited information. In this study, we investigated the accuracy and reliability of ChatGPT's answers to patients' possible questions about rCVD. ChatGPT was asked forty questions about rCVD. Based on current guidelines and information, academicians who are experts in their fields evaluated ChatGPT's answers to these questions. The success of ChatGPT, which has been repeatedly evaluated in classical diseases, was lower in rCVD. The responses to various questions exhibited significant similarity, with some answers including redundant information. In addition, ChatGPT did not give the desired answers to some questions. However, although some answers were longer than necessary, there was very little incorrect information in the answers. Although ChatGPT is competent in obtaining information about rCVD, physicians should clarify the answers given by ChatGPT to patients. Therefore, ChatGPT should be used as an auxiliary information acquisition tool rather than as a primary resource for patients with rCVD