The increasing complexity of assaults necessitates the use of innovative intrusion detection systems (IDS) to safeguard critical assets and data. There is a higher risk of cyberattacks like data breaches and unauthorised access since cloud services have been used more frequently. The project's goal is to find out how Artificial Intelligence (AI) could enhance the IDS's ability to identify and classify network traffic and identify anomalous activities. Online dangers could be identified with IDS. An intrusion detection system, or IDS, is required to keep networks secure. We must create efficient IDS for the cloud platform as well, since it is constantly growing and permeating more aspects of our daily life. However, using standard intrusion

This paper offers a systemic review of the deep learning methods to detect violence on campus, which is a critical issue in intelligent surveillance to improve the student safety and prompt cut off of violent accidents. The review reviews studies published 2018-2025, concentrating on model structure to detect fights, bullying, vandalism, and aggressive behavior on problematic campuses due to occlusion and light variations and complicated human interactions. The research design includes a comparative study of different deep learning networks, such as CNNs, RNNs, 3D CNNs, attention-based networks, transformers, graph neural networks, neuro-fuzzy, and multimodal systems and federated learning methods. The paper also assesses benchmark

     In this paper, the botnet detection problem is defined as a feature selection problem and the genetic algorithm (GA) is used to search for the best significant combination of features from the entire search space of set of features. Furthermore, the Decision Tree (DT) classifier is used as an objective function to direct the ability of the proposed GA to locate the combination of features that can correctly classify the activities into normal traffics and botnet attacks. Two datasets  namely the UNSW-NB15 and the Canadian Institute for Cybersecurity Intrusion Detection System 2017 (CICIDS2017), are used as evaluation datasets. The results reveal that the proposed DT-aware GA can effectively find the relevant features from

Background: Implant stability is considered one of the most important factors affecting healing and successful osseointegration of dental implants. The aims of the study were to measure the implant stability quotient (ISQ) values during the healing period and to determine the factors that affect implant stability. Materials and methods: Thirty patients enrolled in the study (17 female, 13 male). They received 44 Implantium® Dental Implants located as the following: 22 implants in maxillary jaw, 22 implants in mandibular jaw from them 17 implants in anterior segment and 27 in posterior segment. The bone density determined using interactive CT scan and classified according to the Misch bone density classification (29 implants in (D3), 15 i

Out of a total of fifty samples, thirty-five isolates were identified as Serratia marcescens. Thesediverse clinical samples were collected over a three-month period, from October 2023 to December 2023, fromseveral hospitals in Baghdad, including Fatima Al-Zahraa Hospital, Al-Sader Hospital, Ibn Al-Balady Hospital,and Al-Imam Ali Hospital. The clinical samples primarily included urine from patients with urinary tractinfections (UTIs). All isolates were cultured on nutrient agar, MacConkey agar, and blood agar, and theiridentities were confirmed through biochemical testing and the Vitek 2 compact system. Based on phenotypicvirulence factors, the S. marcescens isolates showed varying positive patterns: 32 out of 35 (91.42%) forprotease

يكتسب موضوع تدريب وتطوير العاملين أهمية بالغة في الظروف الاقتصادية الحالية التي تسودها مفاهيم وتوجهات جديدة كعولمة الاقتصاد ورأس المال المعرفي والفكري، وحيث صارت المعارف والمهارات والقابليات التي يمتلكها العاملون محركاً أساسياً باتجاه النجاح، وعنصراً مهماً في زيادة فاعلية منشأة الأعمال، وإدامة وجودها واستمرارها.

إن العاملين المدربين بشكل جيد على عمليات المنشأة وطبيعة المواد التي تستخدمها وإنتاجه

תקציר

הילדות נחשבה השלב חשוב בתולדות האדם, וגם המשפיע ביותר בהיווצרות של אישיותו, משום שבו תתהווה את הליבה של ציוני דרך אישיותו של האדם, ויתגבש בו את ציוני דרכו ותכונותו שלו, וגם תשרטט את הבסיס העיקרי של מה יהיה האדם בעתיד. היות והילדות נשארה היא והשלכותיה בקרבו של האדם, עם זכרונותיה היפות והעצובים כאחד, במחקר זה עסקנו בילדותו של הסופר עמוס עוז כסיסמה לפענוח לדמותו, ולספרותו, כמו כן לכאבים שהעברו