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Meta-synthesis of COVID-19 lessons: charting sustainable management of future pandemics
Abbas Ziafati Bafarasat 서울시립대학교 도시과학연구원 2021 도시과학국제저널 Vol.25 No.3
Development of the COVID-19 vaccines has been creating a lot of hope for an ultimate return to normality, but returning to normality as we had before would mean we will continue to ignore life-ravaging lessons, as we did for severe acute respiratory syndrome, Ebola, and Middle East respiratory syndrome. This meta-synthesis of COVID-19 lessons charts sustainable pandemic management in terms of choosing strategies that are situated in their contextual specifications and beginning preparations for future application of such strategies from now. To guide selection of a situated strategy, the paper provides a comprehensive list of epidemiological determinants (e.g. communicativeness, poverty, supply chain, density, wind, remoteness); consolidates knowledge about strategies of elimination, suppression and mitigation; and proposes a quantified SWOT analysis of epidemiological determinants that produces coordinates for strategy identification in a Cartesian plane divided into twelve strategy quarters. To guide prior preparations for future application of pandemic management strategies, the paper consolidates lessons learned in implementation of situated strategies and proposes preparations at the national level for elimination, at the local/community level for suppression, and at the regional level for mitigation.
Nonlinear Finite Element Model for the Optimization of Post-Tensioned One-Way Concrete Slab
Abbas H. Mohammed,Dia Eddin Nassani,Nildem Tayşi,Ali K. Hussein 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.7
Optimization in its wide sense can be used to solve many engineering problems and to find the best solutions so that designers cangain a maximum benefit from the available resources. In this research a nonlinear Finite Element (FE) model was developed for theoptimization of Unbonded Post-Tensioned (UPT) one-way slab. ANSYS program was used to find the optimum total weight of Post-Tensioned Tendon (PTT). In the optimization analysis, the objective function is the total weight of PTTs. The area of PTT, tendoninitial stress, and tendon eccentricity are considered as the design variables. Concrete normal stress, steel tendon stress, concrete shearstress, and mid-span deflection of concrete slab are considered as constraints. The optimization result indicates that the total weight ofPTTs can be reduced about 33% for the UPT slabs using an appropriate optimization algorithm.
Extraction of high thermally stable and nanofibrous chitin from Cicada (Cicadoidea)
Abbas Mol,Murat Kaya,Muhammad Mujtaba,Bahar AKYUZ 한국곤충학회 2018 Entomological Research Vol.48 No.6
Due to the increasing interest in natural biopolymers including chitin, the exploitation of economic and easily accessible chitin sources with good physicochemical properties is nowadays required. In view of this fact, in the current study chitin was extracted and physicochemically characterized from six Cicadas (Hemiptera: Homoptera: Cicadoidea) species collected from Mediterranean region of Turkey (2014–15). Chitin was extracted using a classic extraction method that includes acid and base treatment. TGA results revealed a remarkable increase (410–412°C) for all the six Cicada species compared to other chitin samples extracted from various sources. For all of the six selected species the chitin contents on the dry basis were determined as 6.7% for Cicadatra atra, 5.51% for C. hyalina, 8.84% for C. platyptera, 4.97% for Cicada lodosi, 6.49% for C. mordoganensis, and 5.88% for Cicadetta tibialis. The surface morphology of chitin isolates from Cicada species was observed to consist of nanofibers and nanopores.
( Abbas Mikhchi ),( Mahmood Honarvar ),( Nasser Emam Jomeh Kashan ),( Saeed Zerehdaran ),( Mehdi Aminafshar ) 한국동물자원과학회(구 한국축산학회) 2016 한국축산학회지 Vol.58 No.1
Background: Genotype imputation is an important process of predicting unknown genotypes, which uses reference population with dense genotypes to predict missing genotypes for both human and animal genetic variations at a low cost. Machine learning methods specially boosting methods have been used in genetic studies to explore the underlying genetic profile of disease and build models capable of predicting missing values of a marker. Methods: In this study strategies and factors affecting the imputation accuracy of parent-offspring trios compared from lower-density SNP panels (5 K) to high density (10 K) SNP panel using three different Boosting methods namely TotalBoost (TB), LogitBoost (LB) and AdaBoost (AB). The methods employed using simulated data to impute the un-typed SNPs in parent-offspring trios. Four different datasets of G1 (100 trios with 5 k SNPs), G2 (100 trios with 10 k SNPs), G3 (500 trios with 5 k SNPs), and G4 (500 trio with 10 k SNPs) were simulated. In four datasets all parents were genotyped completely, and offspring genotyped with a lower density panel. Results: Comparison of the three methods for imputation showed that the LB outperformed AB and TB for imputation accuracy. The time of computation were different between methods. The AB was the fastest algorithm. The higher SNP densities resulted the increase of the accuracy of imputation. Larger trios (i.e. 500) was better for performance of LB and TB. Conclusions: The conclusion is that the three methods do well in terms of imputation accuracy also the dense chip is recommended for imputation of parent-offspring trios.
Abbas, Mohsin Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.3
Background: The present study aimed to analyze the index value trends of injured employed persons (IEPs) covered in Pakistan Labour Force Surveys from 2001-02 to 2012-13. Methods: The index value method based on reference years and reference groups was used to analyze the IEP trends in terms of different criteria such as gender, area, employment status, industry types, occupational groups, types of injury, injured body parts, and treatment received. The Pearson correlation coefficient analysis was also performed to investigate the inter-relationship of different occupational variables. Results: The values of IEP increased at the end of the studied year in industry divisions such as agriculture, forestry, hunting, and fishing, followed by in manufacturing and construction industry divisions. People associated with major occupations (such as skilled agricultural and fishery workers) and elementary (unskilled) occupations were found to be at an increasing risk of occupational injuries/diseases with an increasing IEP trend. Types of occupational injuries such as sprain or strain, superficial injury, and dislocation increased during the studied years. Major injured parts of body such as upper limb and lower limb found with increasing trend. Types of treatment received, including hospitalization and no treatment, were found to decrease. Increased IEP can be justified due to inadequate health care facilities, especially in rural areas by increased IEP in terms of gender, areas, received treatment, occupational groups and employment status as results found after Pearson correlation coefficient analysis. Conclusion: The increasing trend in the IEP% of the total employed persons due to agrarian activities shows that there is a need to improve health care setups in rural areas of Pakistan.
FIXED POINTS OF ASYMPTOTICALLY NONEXPANSIVE MAPPINGS IN THE INTERMEDIATE SENSE IN CAT(0) SPACES
Abbas, Mujahid,Thakur, Balwant Singh,Thakur, Dipti Korean Mathematical Society 2013 대한수학회논문집 Vol.28 No.1
The purpose of this paper is to investigate the demiclosed principle, the existence theorems and convergence theorems in CAT(0) spaces for a class of mappings which is essentially wider than that of asymptotically nonexpansive mappings. The structure of fixed point set of such mappings is also studied. Our results generalize, unify and extend several comparable results in the existing literature.
Modified SVM to Meet CMV and DC Current Ripple Reduction
Abbas Dehghani,Khalil El Khamlichi Drissi,Christophe Pasquier 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
This paper introduces the Modified conventional SVM (MSVM) in order to improve CMV, switching losses, and THD feature of two-level Voltage Source Inverter (VSI). The proposed method divides nulltime, resulted from SVM, to these of two nearby active vectors, forming sector, to calculate new duty cycles. This modification also can be envisaged as transferring matrix, in which its elements are function of percentage of allocating null-time to active ones. Avoiding null-vectors not only result in reduction of CMV peak value but also lead to mitigating THD. Moreover, MSVM mitigates the number of commutations which are proportional to switching losses. In this work, theoretical approach to calculate switching losses, respecting load power factor is formulized. Mathematical approaches, simulation results, carried out through MATLAB/Simulink environment, and finally experimental results verify its validity in above-mentioned achievement. Proposed strategy is simply applied without adding any extra hardware and complex calculations.