20 research outputs found
Improving nutritional status in a pediatric cystic fibrosis center
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111789/1/ppul23128.pd
Performance comparison between 802.11 and 802.11p for high speed vehicle in VANET
Vehicular ad-hoc networks (VANETs) technology has been emerged as a critical research area. Being ad-hoc in nature, VANET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. Communication via routing packets over the high-speed vehicles is a challenging task. Vehicles mobility, speed can vary depending on the road specification. However, on highway, the speed can be increase up to 120 – 200 Km/H. Moving at high speed can affect the efficiency of data delivery. In particular V2I traffic where moving car trying to deliver data to fixed space units which are designed to collect and process data from vehicles. Different protocols have been proposed to be implemented for VANET infrastructure, including 802.11 and 802.11p. In this paper, the performance of the most widely deployed MAC protocols for handling wireless communication which is 802.11 and the 802.11p have been compared, which is a customized version for high speed modes. Performance is investigated in term of data delivery evaluation metrics including network throughput, delay and packet delivery ration. Results show that 802.11p has efficiently enhanced the network performance where network throughput is increased, delay is decreased, and packet delivery ratio is increased as well
اتجاهات معلمي التربية الرياضية نحو دمج الطلبة ذوي الإعاقة في درس التربية الرياضية في مدارس البادية الوسطى
الأهداف: هدفت الدراسة التعرف إلى اتجاهات معلمي التربية الرياضية نحو دمج الطلبة ذوي الإعاقة في درس التربية الرياضية في مدارس البادية الوسطى.
المنهجية: استخدمت الدراسة المنهج الوصفي لملائمته لطبيعة الدراسة، ولتحقيق أهداف الدراسة تم تصميم مقياس من (26) فقرة مقسمة إلى مجالين: المجال الدراسي والمجال النفسي والاجتماعي. وتم التاكد من صدق وثبات الأداة قبل جمع البيانات. وتكونت عينة الدراسة من (94) من معلمي التربية الرياضية في مدارس البادية الوسطى تم اختيارهم بالطريقة العشوائية من مجتمع الدراسة المكوًّن من (130) معلماً ومعلمة. وأعتمدت الدراسة مقياس تصنيفي ثلاثي لوصف قيم المتوسطات الحسابية (1.00 – 2.33 منخفض)، (2.34–3.67 متوسط)، (3.68-5.00 مرتفع).
النتائج: أظهرت نتائج الدراسة أن اتجاهات معلمي التربية الرياضية نحو دمج الطلبة ذوي الإعاقة في درس التربية الرياضية في مدارس البادية الوسطى جاءت بدرجة متوسطة (3.62 ± 0.52)، وجاء المجال النفسي والاجتماعي بالمرتبة الأولى بمتوسط حسابي (3.84± 0.62)، وفي المرتبة الأخيرة جاء المجال الدراسي بمتوسط حسابي (3.40 ± 0.56). وكما أظهرت النتائج عدم وجود فروق دالة إحصائيا بين معلمي ومعلمات التربية الرياضية في الاتجاهات نحو دمج الطلبة ذوي الإعاقة في درس التربية الرياضية. كذلك لم تؤثر خبرة التدريس على اتجاهات المعلمين نحو دمج الطلبة ذوي الإعاقة في درس التربية الرياضية.
الخلاصة: أوصت الدراسة بضرورة تدريب المعلمين وعقد دورات وورش تدريبية لرفع قدراتهم وتمكينهم من العمل مع الطلبة ذوي الإعاقة في درس التربية الرياضية قبل وأثناء الخدمة
Evolution and evidence-based adaptations in techniques for peroral endoscopic myotomy for achalasia.
Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing
Cloud computing has become an innovative technology. Recent advances in hardware and software have put tremendous pressure on administrators, who manage these resources to provide an uninterrupted service. System administrators should be familiar with cloud-server monitoring and network tools. The main focus of the present research is the design of a model that prevents distributed denial-of-service attacks based on host-based intrusion detection protection systems over hypervisor environments. The prevention model uses principal component analysis and linear discriminant analysis with a hybrid, nature-inspired metaheuristic algorithm called Ant Lion optimisation for feature selection and artificial neural networks to classify and configure the cloud server. The current results represent a feasible outcome for a good intrusion detection and prevention framework for DDoS-cloud computing systems based on statistics and predicted techniques
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Microbiome of the Aerodigestive Tract in Health and Esophageal Disease
The diverse human gut microbiome is comprised of approximately 40 trillion microorganisms representing up to 1000 different bacterial species. The human microbiome plays a critical role in gut epithelial health and disease susceptibility. While the interaction between gut microbiome and gastrointestinal pathology is increasingly understood, less is known about the interaction between the microbiome and the aerodigestive tract. This review of the microbiome of the aerodigestive tract in health, and alterations in microbiome across esophageal pathologies highlights important findings and areas for future research. First, microbiome profiles are distinct along the aerodigestive tract, spanning the oral cavity to the stomach. In patients with reflux-related disease such as gastro-esophageal reflux disease, Barrett's esophagus, and esophageal adenocarcinoma, investigators have observed an overall increase in gram negative bacteria in the esophageal microbiome compared to healthy individuals. However, whether differences in microbiome promote disease development, or if these shifts are a consequence of disease remains unknown. Interestingly, use of proton pump inhibitor therapy is also associated with shifts in the microbiome, with distinct shifts and patterns along the aerodigestive tract. The relationship between the human gut microbiome and esophageal pathology is a ripe area for investigation, and further understanding of these pathways may promote development of novel targets in prevention and therapy for esophageal diseases
Performance Comparison of Transmission Control Protocol and User Datagram Protocol over Wireless Networks
Network access over WiFi primarily depends on the access point that provides a mesh network and allows a peer-to-peer connectivity mode. This study measures the performance of Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) over WiFi. Various network-related issues such as packet loss, error control, and reliability are measured. From the NS2 results, UDP provides better results for real-time data in WiFi networks than TCP. Loss of packets or data occurs when UDP is used. However, the throughput of UDP is higher than that of TCP because during a handover, the TCP window size is reset, thus decreasing the throughput. Further, the handover latencies for TCP are higher than those for UDP
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Evolution and evidence-based adaptations in techniques for peroral endoscopic myotomy for achalasia.
Achalasia is an esophageal motility disorder characterized by impaired lower esophageal sphincter (LES) relaxation and failed peristalsis. Common clinical manifestations include dysphagia to solid and liquid foods, chest pain, regurgitation, and weight loss, resulting in significant morbidity and healthcare burden. Historically, surgical Heller myotomy and pneumatic dilation were the first-line therapeutic options for achalasia. This convention was shaken in 2009 when Inoue and colleagues introduced an endoscopic approach to dissect the muscle fibers of the LES, known as peroral endoscopic myotomy (POEM). Since incorporation of POEM into standard practice, the overall myotomy technique has remained unchanged; however, adaptations in the thickness and length of myotomy have evolved. Full-thickness myotomy is recognized to have similar clinical success and faster procedure times compared with selective circular muscle myotomy. Although myotomy length for type 1 and type 2 achalasia has classically been >6 cm, recent studies demonstrated similar outcomes with reduction of myotomy length to <3 cm. Length of myotomy for type 3 achalasia has been tailored to treat the entire length of spastic muscle segment, and the modality to gauge the optimal thickness and length of myotomy in this group has yet to be established. In addition to changes in POEM technique, the postoperative management of POEM has also changed, favoring reduced postprocedure imaging, antibiotic use, and hospitalizations
A Comparision of Node Detection Algorithms Over Wireless Sensor Network
MANET is standing for Network as Mobile Ad-hoc which is a self-directed mobile handlers group which communicates over relatively bandwidth constrained wireless channels. Many services with different classes of Quality of Services (QoS) could be provided through the MANET such as data, voice, and video streaming. Thus, efficient packets routing is an essential issue especially over this kind of burst channel. To settle this issue, many scheduling techniques are proposed to reduce the packets dropping and channel collision when a huge demand of data is transferred from a sender to a receiver. In this paper, four MANET scheduling algorithms are selected and investigated in mobile ad hoc network which are Strict Preference (SP), Round Robin (RR), Weighted Round Robin (WRR), and Weighted Fair (WF). The network simulator EXata 2.0.1 is used to build the scenario which is consist of 50 nodes and performed the simulation. The results showed the performance metrics difference of the network such as the throughput and the end-end delay as well as queuing metrics like peak queue size, average queue length, in queue average time, and droppe of whole packets. Regrading throughput, the SP algorithm has a greater throughput than WF, RR, and WRR by 4.5%, 2.4%, and 1.42%, but WRR has outperformed others regarding the end-end delay. Moreover, WRR represents the best scheduling algorithm regarding both peak queue size since its greater than RP, WF, and WRR by 10.13%, 9.6%, and 5.32%, in order, and average output queue length in contrast, WRR worsts more time in queuing but it is the best in preventing the packets from dropping