Over the past decade, a dramatic rise in bedbug resurgence has become one of the top potential public health hazards. This study was conducted to determine prevalence, knowledge and self-reported containment practices...Over the past decade, a dramatic rise in bedbug resurgence has become one of the top potential public health hazards. This study was conducted to determine prevalence, knowledge and self-reported containment practices about bedbugs in the resource-limited setting of Ethiopia. A community based, cross-sectional survey was conducted between January and May 2014. Selected 260 respondents were interviewed by the administration of a pre-tested questionnaire on knowledge and practices about bedbug infestation in the resource-limited setting of Ethiopia. Overall, 91.6% (238/260) of the residents had ample awareness on bedbug infestation. The majority of them (97.2%) extremely bothered about infestations because of bad odors (83.8%), insomnia (79.8%), biting (66.9%), and skin rashes (56.9%). A high prevalence of infestation (72.7%) was observed. Bedrooms and main hall/salon were identified as potential high-risk areas. Chi-square exhibited a strong association between sanitary status and housing conditions (χ2 = 40.91;df = 4;P = 0.0001). Besides, there was a strong association between respondents’ monthly income (χ2 = 42.1;df = 6;P = 0.0001) and educational status (χ2 = 26.01;df = 5;P = 0.0001) with the presence or absence of bedbug infestation. Though the majority of respondents had adequate knowledge, they suffer with deprived practices attributable to deficient resources as well as negligence/ignorance. This study emphasizes the following key interventions: 1) community-based awareness campaigns, 2) implementation of sustainable preventive/containment strategies, 3) educational interventions to ensure translation of knowledge into practices, and 4) the implementation of appropriate poverty alleviation programs to enhance the local-residents living-standard in the future.展开更多
Small parasitic Hemipteran insects known as bedbugs(Cimicidae)feed on warm-blooded mammal’s blood.The most famous member of this family is the Cimex lectularius or common bedbug.The current paper proposes a novel swa...Small parasitic Hemipteran insects known as bedbugs(Cimicidae)feed on warm-blooded mammal’s blood.The most famous member of this family is the Cimex lectularius or common bedbug.The current paper proposes a novel swarm intelligence optimization algorithm called the Bedbug Meta-Heuristic Algorithm(BMHA).The primary inspiration for the bedbug algorithm comes from the static and dynamic swarming behaviors of bedbugs in nature.The two main stages of optimization algorithms,exploration,and exploitation,are designed by modeling bedbug social interaction to search for food.The proposed algorithm is benchmarked qualitatively and quantitatively using many test functions including CEC2019.The results of evaluating BMHA prove that this algorithm can improve the initial random population for a given optimization problem to converge towards global optimization and provide highly competitive results compared to other well-known optimization algorithms.The results also prove the new algorithm's performance in solving real optimization problems in unknown search spaces.To achieve this,the proposed algorithm has been used to select the features of fake news in a semi-supervised manner,the results of which show the good performance of the proposed algorithm in solving problems.展开更多
测定了一系列六元环萜类化合物对臭虫(Cimex lectularius L.)的驱避活性,利用Codessa Pro程序计算了这些化合物的结构描述符,再利用Codessa Pro程序中的最优线性回归方法计算了驱避活性与这些化合物结构描述符之间的定量构效关系。所得...测定了一系列六元环萜类化合物对臭虫(Cimex lectularius L.)的驱避活性,利用Codessa Pro程序计算了这些化合物的结构描述符,再利用Codessa Pro程序中的最优线性回归方法计算了驱避活性与这些化合物结构描述符之间的定量构效关系。所得到的最优定量构效关系计算模型的R2为0.924,模型所包含的4个参数分别是:FNSA3 fractional PN-SA、Min n-n repulsion for bond H-C、YZ Shadow/YZ rectangle、Max electrophilic reactivity index for atom C。通过对模型的分析讨论了臭虫化学感受器与驱避剂之间可能存在的相互作用。展开更多
文摘Over the past decade, a dramatic rise in bedbug resurgence has become one of the top potential public health hazards. This study was conducted to determine prevalence, knowledge and self-reported containment practices about bedbugs in the resource-limited setting of Ethiopia. A community based, cross-sectional survey was conducted between January and May 2014. Selected 260 respondents were interviewed by the administration of a pre-tested questionnaire on knowledge and practices about bedbug infestation in the resource-limited setting of Ethiopia. Overall, 91.6% (238/260) of the residents had ample awareness on bedbug infestation. The majority of them (97.2%) extremely bothered about infestations because of bad odors (83.8%), insomnia (79.8%), biting (66.9%), and skin rashes (56.9%). A high prevalence of infestation (72.7%) was observed. Bedrooms and main hall/salon were identified as potential high-risk areas. Chi-square exhibited a strong association between sanitary status and housing conditions (χ2 = 40.91;df = 4;P = 0.0001). Besides, there was a strong association between respondents’ monthly income (χ2 = 42.1;df = 6;P = 0.0001) and educational status (χ2 = 26.01;df = 5;P = 0.0001) with the presence or absence of bedbug infestation. Though the majority of respondents had adequate knowledge, they suffer with deprived practices attributable to deficient resources as well as negligence/ignorance. This study emphasizes the following key interventions: 1) community-based awareness campaigns, 2) implementation of sustainable preventive/containment strategies, 3) educational interventions to ensure translation of knowledge into practices, and 4) the implementation of appropriate poverty alleviation programs to enhance the local-residents living-standard in the future.
文摘Small parasitic Hemipteran insects known as bedbugs(Cimicidae)feed on warm-blooded mammal’s blood.The most famous member of this family is the Cimex lectularius or common bedbug.The current paper proposes a novel swarm intelligence optimization algorithm called the Bedbug Meta-Heuristic Algorithm(BMHA).The primary inspiration for the bedbug algorithm comes from the static and dynamic swarming behaviors of bedbugs in nature.The two main stages of optimization algorithms,exploration,and exploitation,are designed by modeling bedbug social interaction to search for food.The proposed algorithm is benchmarked qualitatively and quantitatively using many test functions including CEC2019.The results of evaluating BMHA prove that this algorithm can improve the initial random population for a given optimization problem to converge towards global optimization and provide highly competitive results compared to other well-known optimization algorithms.The results also prove the new algorithm's performance in solving real optimization problems in unknown search spaces.To achieve this,the proposed algorithm has been used to select the features of fake news in a semi-supervised manner,the results of which show the good performance of the proposed algorithm in solving problems.
文摘测定了一系列六元环萜类化合物对臭虫(Cimex lectularius L.)的驱避活性,利用Codessa Pro程序计算了这些化合物的结构描述符,再利用Codessa Pro程序中的最优线性回归方法计算了驱避活性与这些化合物结构描述符之间的定量构效关系。所得到的最优定量构效关系计算模型的R2为0.924,模型所包含的4个参数分别是:FNSA3 fractional PN-SA、Min n-n repulsion for bond H-C、YZ Shadow/YZ rectangle、Max electrophilic reactivity index for atom C。通过对模型的分析讨论了臭虫化学感受器与驱避剂之间可能存在的相互作用。
