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Muzaffar A. Talpur,Khuhro, Rab-Dino Korean Society of Applied Entomology 2004 Journal of Asia-Pacific Entomology Vol.7 No.2
The studies on the relative occurrence and abundance of mustard aphid, Lipaphis erysimi (Kalt.) revealed that aphid appeared on leaves during 3rd week of January and on the inflorescences during 2nd week of February and continued up to harvesting on both the varieties. The peak populations (42.7) and (28.7) per leaf on Rainbow and Oscar varieties were recorded. Whereas, the peak populations (7.5) and (6.6) per inflorescences were recorded on these varieties. The higher mean population ranges (9.2 to 28.7) and (25.1 to 42.7) per leaf on Oscar and Rainbow and (3.9 to 6.6) and (2.3 to 7.6) per inflorescence were recorded from February 15 to March 5. The temperature range of 16.5 to $20.6^{\circ}$, seems to have favored the pest multiplication. The predator species such as, green lacewing beetle, Chrysoperla carnea (Stephens), eleven-spotted ladybird beetle, Coccinella undecimpunctata (Linn.) and seven-spotted ladybird beetle, Coccinella septempunctata (Linn.) were recorded when the pest population of aphids was sufficiently developed on the canola varieties.
Analysing the Causes of Design Generated Waste through System Dynamics
Sidra Muzaffar,Khurram Iqbal Ahmad Khan,Muhammad Bilal Tahir,Hamna Bukhari 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.12
A drastic rise in construction waste observed has elicited a radical impact on the environment and economy of the world. It is, therefore, necessary to come up with waste minimization management strategies that reflect in-depth review of sources of waste. This in depth review demands understanding the intricacy of causative factors triggering generation of “waste at source” which is the main motive of study and is done through System Dynamics for design phase in context of developing countries. 8 most important causative factors in design phase were shortlisted along with their interrelationships via literature and questionnaire survey. Followed by system thinking approach that addressed the complexities caused by those factors in 2 stages. Firstly, a Causal loop diagram was developed that illustated interrelationship between factors in the form of loops. Later SD model built, evaluated the combinatorial effect of 3 evolved stocks over the fourth stock Design Generated Waste-an emanating phenomenon. Simulation result revealed increasing trend of the stock DGW over a course of time. Therefore, increase in effect of complexities of behavior of design waste causes, will consequently lead to increase in DGW. Managing the complex behavior of these design causes will help control over the DGW w.r.t. time.
COVID-19 prediction models: a systematic literature review
Sheikh Muzaffar Shakeel,Nithya Sathya Kumar,Pranita Pandurang Madalli,Rashmi Srinivasaiah,Devappa Renuka Swamy 질병관리본부 2021 Osong Public Health and Research Persptectives Vol.12 No.4
As the world grapples with the problem of the coronavirus disease 2019 (COVID-19) pandemic and its devastating effects, scientific groups are working towards solutions to mitigate the effects of the virus. This paper aimed to collate information on COVID-19 prediction models. A systematic literature review is reported, based on a manual search of 1,196 papers published from January to December 2020. Various databases such as Google Scholar, Web of Science, and Scopus were searched. The search strategy was formulated and refined in terms of subject keywords, geographical purview, and time period according to a predefined protocol. Visualizations were created to present the data trends according to different parameters. The results of this systematic literature review show that the study findings are critically relevant for both healthcare managers and prediction model developers. Healthcare managers can choose the best prediction model output for their organization or process management. Meanwhile, prediction model developers and managers can identify the lacunae in their models and improve their data-driven approaches.