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Evidence of the Effectiveness of a Step-By-Step Surgical Method in Severe Liver Damage with Combined Trauma
Evidence of the Effectiveness of a Step-By-Step Surgical Method in Severe Liver Damage with Combined Traum
Enhancing Cloud Security with Machine Learning-Based Anomaly Detection
With the increasing adoption of cloud computing across industries, ensuring robust security measures has become a critical priority. Traditional security approaches, such as rule-based intrusion detection systems and signature-based methods, often fail to detect novel and sophisticated cyber threats in real-time. As a result, the integration of machine learning (ML) for anomaly detection has emerged as a powerful solution for enhancing cloud security. This paper explores the implementation of ML-based anomaly detection techniques to identify and mitigate security threats in cloud environments. Specifically, it examines various ML approaches, including supervised, unsupervised, and reinforcement learning, and their effectiveness in detecting deviations from normal system behavior. By analyzing patterns in network traffic, user activity, and system logs, ML models can identify potential threats such as insider attacks, unauthorized access, malware infiltration, and distributed denial-of-service (DDoS) attacks
Intelligent Load Balancing in Cloud Computing With Reinforcement Learning
Cloud computing has revolutionized modern computing by providing on-demand, scalable, and cost-effective resources. However, efficient load balancing remains a critical challenge, as improper resource allocation can lead to performance bottlenecks, increased latency, and reduced system reliability. Traditional load-balancing algorithms, such as round-robin and least connections, often fail to adapt dynamically to changing workloads and complex cloud environments. To address these limitations, this paper explores intelligent load balancing in cloud computing using reinforcement learning (RL)
PRIVACY-PRESERVING AI MODELS FOR CLOUD AND EDGE COMPUTING SECURITY
The rapid adoption of cloud and edge computing has revolutionized modern digital infrastructure, enabling seamless data processing and real-time analytics. However, this shift has also introduced significant security and privacy challenges, particularly concerning the exposure of sensitive data to potential cyber threats. Traditional security frameworks often fail to provide adequate protection in distributed environments, necessitating the development of privacy-preserving AI models to safeguard critical information while maintaining computational efficiency
LUG‘ATLARNING YARATILISHI VA RIVOJLANISH EVOLYUTSIYASI TALQINI
Lug‘at yaratish fani va amaliyotini o‘rganuvchi leksikografiya asrlar davomida sezilarli darajada rivojlandib, kuzatish, tasniflash va hujjatlashtirishda muhim vosita bo‘lib keldi. Bu jarayon nafaqat so‘zlarning ma'nosini aniqlash, balki ularning etimologiyasi va qanday ishlatilishini tushunishni ham o‘z ichiga oladi. Quyida biz leksikografik manbalarning tarixiy, amaliy va kelajakdagi ahamiyati orqali ingliz va boshqa tillardagi lug‘atlarning rivojlanishiga hissa qo‘shayotgan tillar, xususan, turkiy tillar ingliz leksikografik manbalalariga ta’siri ko‘rib chiqiladi
WAYS TO REVIVE THE ATMOSPHERE, ARCHITECTURE OF THE HISTORIC NEIGHBORHOOD OF THE CITY OF SAMARKAND
Abstract
the problem of the composition of Neighborhood Centers is posed as an independent task and has been solved to us using the construction of traditional buildings, which have been sitting almost unchanged since last centuries. As the result is not expected at first glance, the solution of aesthetic tasks leads to uniformity of composite buildings. This is manifested in the appearance of covering modern buildings, which have become common for us, with decorative grilles and other methods of fine art, that is, demonstratively opposing antiquities or even imitating ancient traditions in something new. All this is not without the desired effect, but the question of the organic solution of the urban environment is in no hurry masked under the National layers found, or indicates a lack of desire to touch antiquity
An Analysis of Idiomatic Expressions Used in Things Fall Apart Novel
This study examines the idiomatic expressions used and interpreted in Chinua Achebe's Things Fall Apart, emphasizing how they convey the Igbo people's cultural values and social dynamics in the face of colonial influence. The data are taken from the novel Things Fall Apart. Using a qualitative descriptive approach, the research identifies different types of idioms, based on Makkai theory, including phrasal verb idioms, tournure idioms, irreversible binominal idioms, phrasal compound idioms, incorporating verb idioms and pseudo idioms. Meanwhile, the meaning of idiomatic expressions is based on the context in which they appear. The findings reveal how Achebe uses these linguistic techniques to articulate social interactions, moral philosophies, emotional landscapes, and tensions between tradition and modernity thereby reaching the research objective of the importance of idiomatic expressions as tools for preserving and transmitting Igbo cultural heritage, providing a deeper understanding of the cultural and psychological dimensions of the novel
Enhancing Regulatory Frameworks to Prevent Financial Crises
Financial crises have posed significant risks to global economies, leading to widespread economic disruption, loss of wealth, and public distrust in financial systems. Regulatory frameworks are designed to safeguard financial markets from such crises, but many existing regulations have been found inadequate in mitigating risks and preventing systemic failures. This paper explores how regulatory frameworks can be enhanced to better prevent financial crises in the future. By analyzing the role of regulatory bodies, such as the Basel Committee, the Financial Stability Board (FSB), and national regulators, the paper identifies key shortcomings in current frameworks and provides recommendations for improvement. The research draws on historical case studies of financial crises, the evolution of regulatory practices, and contemporary challenges facing global financial systems. Additionally, the paper examines the role of technological advancements and innovations, such as artificial intelligence and blockchain, in strengthening regulatory oversight. The findings suggest that a more proactive and adaptive regulatory approach, combined with international cooperation, is essential for reducing the likelihood of future financial crises and enhancing the resilience of financial systems. This paper concludes with practical policy recommendations for regulators, financial institutions, and governments to implement a more robust and effective regulatory environment capable of preventing future financial disruptions. This abstract provides a concise overview of the paper’s objectives, scope, and conclusions. The full research paper would expand on these ideas in detail, referring to relevant literature and offering a comprehensive analysis
Surgical Complications of PrepectoralBreast Reconstruction with Implants
Reconstructive plastic surgeries with one-stage prepectoral implant placement in patients with breast cancer (BC) are becoming increasingly important. Good aesthetic results and high quality of life are the main incentives for performing such surgeries. The experience of using this intervention for more than 10 years in patients with BC, including after systemic combined treatment, allows us to evaluate its outcomes and the possibility of complications. This article presents the results of observation in the department of oncology and reconstructive plastic surgery of the mammary gland of patients after one-stage breast reconstruction with prepectoral placement of textured (45%) and polyurethane (47.5%) endoprostheses, as well as tissue expanders (7.5%). Theobservation period was 65 months. The study assessed the frequency of complications such as seroma, hematoma, "red breast" syndrome, ripling, diastasis of the wound edges, implant loss, capsular contracture of grades III-IV. In addition, clinical examplesof some complications are given. Analysis of the literature and our own experience indicate that careful selection of patients and improvement of surgical technique contribute to the further dissemination of this method and minimization of the risk of possible complications
KASHTAN URUG`ININGO`ZIDA INDIKATORLIK XOSSASINI NOMOYON ETISHI VA UNING USTIDA EKSIPERIMENTLAR
Ushbu maqolada kashtan urug‘larining indikatorlik xossalari o‘rganilib, uning kimyoviy tarkibi va rang o‘zgarishlari asosida eksperimentlar o‘tkazilgan. Mavzuni bayon etish mobaynida xali uncha o`rganilmagan tabiiy indikator va uning xossalari xaqida ma`lumot berildi.Kashtan urug‘lari kislotalar va asoslar bilan reaktsiyaga kirishganda rang o‘zgarishini namoyon etib, ularni indikator sifatida ishlatish imkoniyatlarini ko‘rsatadi. Tadqiqotda urug‘larning pH darajasi va kimyoviy reaksiyalariga bo‘lgan reaksiyalari aniqlanib, turli sharoitlarda rang o‘zgarishlari kuzatildi. Ushbu xossalar kashtan urug‘ini ekologik monitoringda va kimyoviy tahlil jarayonlarida indikator sifatida qo‘llash imkoniyatlarini yaratadi. Tadqiqot kashtan urug‘larining tabiiy indikator sifatidagi samaradorligini tasdiqlaydi va ularni ilmiy tadqiqotlarda qo‘llashda yangi imkoniyatlarni ochadi