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Yazar "Polat, Huseyin" seçeneğine göre listele

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    The Effect of Nutritional and Physical Activity Interventions on Nutritional Status and Obesity in Primary School Children: A Cluster Randomized Controlled Study
    (KUWAIT MEDICAL ASSOC, 2017) Akdemir, Meltem; Donmez, Levent; Polat, Huseyin
    Objectives: Obesity is a major public health problem, alarming especially among children and adolescents. The aim of this study is to measure the effect of intervention on preventing and reducing obesity by teaching healthy nutritional behavior and physical activity among primary school children. Design: Randomized controlled study Setting: Two primary schools in Antalya City Center of Turkey Subjects: One thousand two hundred eighty-eight children (647 in intervention and 641 in control group) Intervention: One of the schools was selected as intervention group and the other as control. In the intervention group, children and their parents were involved in an education program of "healthy nutrition and active lifestyle" during one academic year (2008 - 2009). Main outcome measure(s): Weight status, body mass index, status of excercise, nutrition and education Results: Education on nutrition and physical activity prevented the students from being overweight and obesity (RR = 1.04; 95% CI = 1.01 - 1.06; p = 0.0025) especially in girls, and changed the overweight and obese students to normal weight status (RR = 1.88; 95% CI = 1.09 - 3.24; p = 0.0097). Intervention group students showed a significant improvement in nutritional behavior and Mediterranean Diet Quality Index for Children and Adolescent KIDMED) score p < 0.001). It was observed that majority of the variables related to the nutrition and physical activities were positively affected in the intervention group. Conclusion: Despite an improvement in a number of different variables in the intervention group in our study, the battle against obesity should not be considered as a short-term commitment. Detection of more visible results may require larger and longer-term studies in collaboration with different parties involved.
  • Küçük Resim Yok
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    Multi-Stage Learning Framework Using Convolutional Neural Network and Decision Tree-Based Classification for Detection of DDoS Pandemic Attacks in SDN-Based SCADA Systems
    (Mdpi, 2024) Polat, Onur; Turkoglu, Muammer; Polat, Huseyin; Oyucu, Saadin; Uzen, Huseyin; Yardimci, Fahri; Aksoz, Ahmet
    Supervisory Control and Data Acquisition (SCADA) systems, which play a critical role in monitoring, managing, and controlling industrial processes, face flexibility, scalability, and management difficulties arising from traditional network structures. Software-defined networking (SDN) offers a new opportunity to overcome the challenges traditional SCADA networks face, based on the concept of separating the control and data plane. Although integrating the SDN architecture into SCADA systems offers many advantages, it cannot address security concerns against cyber-attacks such as a distributed denial of service (DDoS). The fact that SDN has centralized management and programmability features causes attackers to carry out attacks that specifically target the SDN controller and data plane. If DDoS attacks against the SDN-based SCADA network are not detected and precautions are not taken, they can cause chaos and have terrible consequences. By detecting a possible DDoS attack at an early stage, security measures that can reduce the impact of the attack can be taken immediately, and the likelihood of being a direct victim of the attack decreases. This study proposes a multi-stage learning model using a 1-dimensional convolutional neural network (1D-CNN) and decision tree-based classification to detect DDoS attacks in SDN-based SCADA systems effectively. A new dataset containing various attack scenarios on a specific experimental network topology was created to be used in the training and testing phases of this model. According to the experimental results of this study, the proposed model achieved a 97.8% accuracy rate in DDoS-attack detection. The proposed multi-stage learning model shows that high-performance results can be achieved in detecting DDoS attacks against SDN-based SCADA systems.
  • Küçük Resim Yok
    Öğe
    The effect of nutritional and physical activity interventions on nutritional status and obesity in primary school children: A cluster randomized controlled study
    (Kuwait Medical Association, 2017) Akdemir, Meltem; Donmez, Levent; Polat, Huseyin
    Objectives: Obesity is a major public health problem, alarming especially among children and adolescents. The aim of this study is to measure the effect of intervention on preventing and reducing obesity by teaching healthy nutritional behavior and physical activity among primary school children. Design: Randomized controlled study Setting: Two primary schools in Antalya City Center of Turkey Subjects: One thousand two hundred eighty-eight children (647 in intervention and 641 in control group) Intervention: One of the schools was selected as intervention group and the other as control. In the intervention group, children and their parents were involved in an education program of “healthy nutrition and active lifestyle” during one academic year (2008-2009). Main outcome measure(s): Weight status, body mass index, status of excercise, nutrition and education Results: Education on nutrition and physical activity prevented the students from being overweight and obesity (RR = 1.04; 95% CI = 1.01-1.06; p = 0.0025) especially in girls, and changed the overweight and obese students to normal weight status (RR = 1.88; 95% CI = 1.09-3.24; p = 0.0097). Intervention group students showed a significant improvement in nutritional behavior and Mediterranean Diet Quality Index for Children and Adolescent (KIDMED) score (p < 0.001). It was observed that majority of the variables related to the nutrition and physical activities were positively affected in the intervention group. Conclusion: Despite an improvement in a number of different variables in the intervention group in our study, the battle against obesity should not be considered as a short-term commitment. Detection of more visible results may require larger and longer-term studies in collaboration with different parties involved. © 2017 Kuwait Medical Association. All rights reserved.

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