The sustainable development of collection and delivery points and urban street network is an important consideration of logistic planners. Urban street networks have a significant impact on collection and delivery points’ location, but the spatial relationship between the centrality of urban street network and collection and delivery points has not been studied using spatial design network analysis. In a multiple centrality assessment model, we used point of interest and street network data to evaluate the location of two types of collection and delivery points and the centrality of streets in Nanjing city, based on four indicators: closeness, betweenness, severance, and efficiency. Then, kernel density estimation and spatial autocorrelation are used to study spatial patterns of distribution and centrality coupling effects of urban street network and collection and delivery points. The results show that the centrality of Nanjing streets has a big influence on the location of the collection and delivery points, and the directions of different types of centrality also vary. The location of the Cainiao Stations are largely related to closeness, followed by betweenness, severance, and efficiency. China Post Stations and street centrality have a weak correlation between efficiency and severance, but no correlation between closeness and betweenness. Our results can help logistics enterprises and urban planners to develop collection and delivery points’ network based on the urban street network.
Objective: To describe the technique and results of mucosectomy; A surgical technique that is easy to perform, and has a lower morbidity and complication rate as compared to standard appendectomy in cases of complicated appendicitis.
Study Design: Quasi-experimental study.
Place and Duration of Study: Surgical - A Unit, Ayub Teaching Hospital, in Abbottabad, from Mar 2017 to Mar 2019.
Methodology: Patients included were those who presented with appendicular mass, phlegmon, recurrent appendicitis, appendicitis in uncommon locations, presence of adhesions, those cases of appendicular mass and phlegmon which was either not responding to medical treatment, or diagnosed per operatively being clinically not palpable or not seen on ultrasound. Per operative and post-operative variables were documented and analyzed. In mucosectomy, thesubserosal portion of the appendix i-emuscularis and mucosa of the appendix was dissected out from the serosa after ligation of the appendicular base, or ligation done after delivering the appendix out of the serosa. The serosa that was adherent to the surrounding gut, omentum or other viscera was left intact.
Results: A total of 192 patients were included in this study, half of which underwent standard appendectomy and a mucosectomy was performed on the rest. The mean time of surgery was 30 ± 1.2min as compared to the standard appendectomy group (55min ± 3.6). More than half of the patients undergoing standard appendectomy required extension of the incision (56.2%), only 8% required so from those on whom mucosectomy was performed. Per operative hemorrhage was seen in 32.2%, however inmucosectomy group only 1%.
SYN flooding is one of the most challenging problems that many networks applications face, particularly those that are security-related. Disrupting a server's daily function and assigning it to other tasks leaves it a constantly busy server that processes little usable data. In this research, a comprehensive INDIGSOL approach is demonstrated that not only detects SYN flooding but also prevents the attacker(s) from making such attempts in the future. The designed approach has four modules such as node registration and validation, packet capturing, dynamic check system, and hook activation. The approach is further checked and compared with some state-of-the-art baselines on various parameters like detection time, response/processing time, and number of malicious packets detection. It is observed that INDIGSOL performed better than other baselines with an average accuracy of 99% malicious packet detection in six scenarios along with 13.4% faster detection time and 11.2% faster response/processing time. Overall, the provided solution is scalable, robust, and highly accurate that prevents SYN flooding in a timely manner.
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