Recently, agent-based software technology has received wide attention by the research community due to its valuable benefits, such as reducing the load on networks and providing an efficient solution for the transmission challenge problem. However, the major concern in building agent-based systems is related to the security of agents. In this paper, we explore the techniques used to build controls that guarantee both the protection of agents against malicious destination machines and the protection of destination machines against malicious agents. In addition, statistical-based analyses are employed to evaluate the level of maturity of the protection techniques to preserve the protection goals (the code and data, state, and itinerary of the agent), with and without the threat of attacks. Challenges regarding the security of agents are presented and highlighted by seven research questions related to satisfying cyber security requirements, protecting the visiting agent and the visited host machine from each other, providing robustness against advanced attacks that target protection goals, quantifying the security in agent-based systems, and providing features of self-protection and self-communication to the agent itself.
Morphological characteristics have been the gold standard method to identify mosquito species. However, morphological identification has many limitations including lack of expertise and damaging of external characters due to improper specimen handling. Therefore, we used the polymerase chain reaction technique (PCR) as an integrated tool to identify Culex mosquito species to establish a more precise and reliable identification system related to their spatial distribution in Jazan region. We identified Culex mosquito species and subspecies using taxonomic keys, and then we used the polymerase chain reaction technique (PCR) as an integrated tool to confirm and refine the list of Culex mosquito species in the region. Phylogenetic trees were constructed for the identified species, and their distinctive clustering was compared with their reference’s species in the GenBank. We identified 7026 adult Culex mosquitoes belonging to 4 species. Culex tritaeniorhynchus was the predominant species (45%), followed by Cx. quinquefasciatus (32%), then Culex sitiens (20%), and Cx. pipiens (3%). The most infested areas by Culex in the region were Gizan and Sabya. The PCR achieved 100% success in identifying the four Culex mosquito species. We also report the molecular identification of Cx. quinquefasciatus and Cx. pipiens species for the first time in Jazan region while the molecular identification of Cx. tritaeniorhynchus and Cx. sitiens was reported for the first time in Jazan region and the whole Saudi Arabia. This study utilized for the first time PCR to identify Culex mosquito species in Jazan region. The PCR is a complementary and integrated taxonomy-based identification tool for mosquito species. This integration has the capacity to promote and enhance vector surveillance and control programs, as well as defining the genetic diversity of species in the region.
Background Male partners have a considerable role in influencing women’s contraceptive decision making to reduce the chance of unintended pregnancy. Most studies are focused on women’s knowledge and barriers for emergency contraception (EC) use. There is limited research on this topic from the male perspective. This study aimed to gather baseline data on men’s knowledge, attitudes and barriers about EC. Methods Descriptive analytic cross-sectional study was conducted from Dec 2019 –May 2020 at the King Khalid University Hospital (KKUH); a teaching facility with general and subspecialty medical services in King Saud University Medical City (KSUMC), Riyadh, Saudi Arabia. Data were collected using a structured pretested questionnaire and analyzed using SPSS version 23.0. Descriptive statistics and Chi square tests were used. Multivariate logistic regression analysis was used to find significant predictors for EC awareness and use. A p value < 0.05 was considered statistically significant. Results A total of 461 participants completed the questionnaire (response rate 86%). The majority (82%) of the participants were unaware of EC; with only 18% having some knowledge. Knowledgeable men had positive attitudes (73.5%) about EC as compared to non- knowledgeable ones (55.0%). Factors found to be associated with less knowledge of EC were cultural [0.46, 95%CI 0.22. 0.96] and religious unacceptability [OR 0.51, 95%CI 0.29, 0.89)]. Higher level of education [OR 1.83, 95%CI 0.94, 3.53] was associated with more knowledge regarding EC. The study showed that correct information about using contraceptives within 3 days of unprotected sex [OR 4.96, 95%CI 1.81, 13.60]; availability without prescription [OR 5.06, 95%CI 1.68, 15.30], EC advertisement [OR 4.84, 95%CI 0.96, 24.27] and receipt of information from family/friends [OR 18.50, 95%CI 5.19, 65.93] were factors that contributed to men using EC. Conclusion The current knowledge of EC among men is limited. Social determinants affect these levels of knowledge, as well as the usage of EC. Factors that were associated with the use of ECPs were correct knowledge, advertisement, availability and receipt of information from family/friends. The findings highlight the need to educate men on this important topic to avoid unintended pregnancy, keeping in view cultural and social values. Future qualitative studies are needed to understand the male perspective.
Using the local climate zone (LCZ) framework and multiple Earth observation input features, an LCZ classification was developed and established for Riyadh City in 2017. Four land-cover-type and four urban-type LCZs were identified in the city with an overall accuracy of 87%. The bare soil/sand (LCZ-F) class was found to be the largest LCZ class, which was within the nature of arid climate cities. Other land-cover LCZs had a lower coverage percentage (each class with <7%). The compact low-rise (LCZ-3) class was the largest urban type, as urban development in arid climate cities tends to extend horizontally. The daytime surface thermal characteristics of the developed LCZs were analyzed at seasonal timescales using land surface temperature (LST) estimated from multiple Landsat 8 satellite images (June 2017–May 2018). The highest daytime mean LST was found over large low-rise (LCZ-8) class areas throughout the year. This class was the only urban-type LCZ class that demonstrated a positive LST departure from the overall mean LST across seasons. Other urban-type LCZ classes showed lower LSTs and negative deviations from the overall mean LSTs. The overall thermal results suggested the presence of the surface urban heat island sink phenomenon as urban areas experienced lower LSTs than their surroundings. Thermal results demonstrated that the magnitudes of LST differences among LCZs were considerably dependent on the way the region of interest/analysis was defined. This was related to the types of LCZ classes presented in the study area and the spatial distribution and abundance of these LCZ classes. The developed LCZ classification and thermal results have several potential applications in different areas including planning and urban design strategies and urban health-related studies.
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