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Journal articles on the topic 'Seidat'

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Published: 4 June 2021
Last updated: 9 February 2022

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1

Blust, Robert. "Seimat Vowel Nasality: A Typological Anomaly." Oceanic Linguistics 37, no. 2 (December 1998): 298. http://dx.doi.org/10.2307/3623412.

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2

Ramane, Harishchandra S., Mahadevappa M. Gundloor, and Sunilkumar M. Hosamani. "Seidel Equienergetic Graphs." Bulletin of Mathematical Sciences and Applications 16 (August 2016): 62–69. http://dx.doi.org/10.18052/www.scipress.com/bmsa.16.62.

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The Seidel matrix S(G) of a graph G is the square matrix with diagonal entries zeroes and off diagonal entries are – 1 or 1 corresponding to the adjacency and non-adjacency. The Seidel energy SE(G) of G is defined as the sum of the absolute values of the eigenvalues of S(G). Two graphs G1 and G2 are said to be Seidel equienergetic if SE(G1) = SE(G2). We establish an expression for the characteristic polynomial of the Seidel matrix and for the Seidel energy of the join of regular graphs. Thereby construct Seidel non cospectral, Seidel equienergetic graphs on n vertices, for all n ≥ 12
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3

Oboudi, Mohammad Reza. "Seidel energy of complete multipartite graphs." Special Matrices 9, no. 1 (January 1, 2021): 212–16. http://dx.doi.org/10.1515/spma-2020-0131.

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Abstract The Seidel energy of a simple graph G is the sum of the absolute values of the eigenvalues of the Seidel matrix of G. In this paper we study the Seidel eigenvalues of complete multipartite graphs and find the exact value of the Seidel energy of the complete multipartite graphs.
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4

Evans, Thomas, Tim M. Blackburn, Jonathan M. Jeschke, Anna F. Probert, and Sven Bacher. "Application of the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to a global assessment of alien bird impacts." NeoBiota 62 (October 15, 2020): 123–42. http://dx.doi.org/10.3897/neobiota.62.51150.

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We use a recently proposed framework, the Socio-Economic Impact Classification for Alien Taxa (SEICAT) to undertake the first global assessment of the impacts of alien birds on human well-being. A review of the published literature and online resources was undertaken to collate information on the reported socio-economic impacts of 415 bird species with self-sustaining alien populations worldwide. These data were then categorised following the SEICAT guidelines. Impact data were found for 57 (14%) of the 415 alien bird species in this study. All but two of these species were found to have minor impacts on human well-being. The most significant threat to human well-being posed by alien birds may be associated with their impacts on aviation safety. About two-thirds of the impact data found described agricultural impacts. No data were found describing disease transmission impacts on humans. We lack data for developing regions of the world: this is of concern as alien species can threaten livelihoods in developing countries, particularly by affecting agricultural production and hence food security. Most assessments were allocated a ‘Low’ confidence score. This may be because SEICAT is a new framework, requiring data on the way in which alien species affect human well-being, as measured by changes to human activities: even where we do have data describing an alien bird impact, information on how profoundly this impact affects people’s activities is currently rarely available.
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5

Measey, John, Carla Wagener, Nitya Prakash Mohanty, James Baxter-Gilbert, and Elizabeth F. Pienaar. "The cost and complexity of assessing impact." NeoBiota 62 (October 15, 2020): 279–99. http://dx.doi.org/10.3897/neobiota.62.52261.

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The environmental and socio-economic impacts of invasive species have long been recognised to be unequal, with some species being benign while others are disastrous. Until recently there was no recognised standard impact scoring framework with which to compare impacts of species from very different taxa. The advent of the Environmental Impact Classification for Alien Taxa (EICAT) and Socio‐Economic Impact Classification of Alien Taxa (SEICAT) schemes allows for the possibility of assessing impact through a standard approach. However, both these schemes are still in their infancy and the associated costs of the research that informs them is unknown. We aimed to determine the study costs and complexity associated with assessing invasive species’ socio-economic and environmental impacts. We used amphibians as a model group to investigate papers from which EICAT and SEICAT scores could be drawn up to 2019. Our analysis shows that studies that resulted in higher impact scores were more costly. Furthermore, the costs of studies were best predicted by their complexity and the time taken to complete them. If impact scores from EICAT and SEICAT are allowed to inform policy, then we need to carefully consider whether species with low scores represent true impact, or require more research investment and time. Policy makers needing accurate assessments will need to finance larger, more complex, and rigorous studies. Assessing impacts in low and middle income countries may need investment using international research collaborations and capacity building with scientists from high income areas.
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6

Enyew, Tesfaye Kebede, Gurju Awgichew, Eshetu Haile, and Gashaye Dessalew Abie. "Second-refinement of Gauss-Seidel iterative method for solving linear system of equations." Ethiopian Journal of Science and Technology 13, no. 1 (April 30, 2020): 1–15. http://dx.doi.org/10.4314/ejst.v13i1.1.

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Although large and sparse linear systems can be solved using iterative methods, its number of iterations is relatively large. In this case, we need to modify the existing methods in order to get approximate solutions in a small number of iterations. In this paper, the modified method called second-refinement of Gauss-Seidel method for solving linear system of equations is proposed. The main aim of this study was to minimize the number of iterations, spectral radius and to increase rate of convergence. The method can also be used to solve differential equations where the problem is transformed to system of linear equations with coefficient matrices that are strictly diagonally dominant matrices, symmetric positive definite matrices or M-matrices by using finite difference method. As we have seen in theorem 1and we assured that, if A is strictly diagonally dominant matrix, then the modified method converges to the exact solution. Similarly, in theorem 2 and 3 we proved that, if the coefficient matrices are symmetric positive definite or M-matrices, then the modified method converges. And moreover in theorem 4 we observed that, the convergence of second-refinement of Gauss-Seidel method is faster than Gauss-Seidel and refinement of Gauss-Seidel methods. As indicated in the examples, we demonstrated the efficiency of second-refinement of Gauss-Seidel method better than Gauss-Seidel and refinement of Gauss-Seidel methods.
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7

SEIDMAN, ERNEST. "Dr. Seidman replies." Journal of Rheumatology 46, no. 2 (February 2019): 216. http://dx.doi.org/10.3899/jrheum.180833.

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8

Keshavan, Matcheri S. "Larry J Seidman." Neuropsychopharmacology 43, no. 5 (March 14, 2018): 1189–90. http://dx.doi.org/10.1038/npp.2017.288.

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9

Chaudhari, Praveen, Franco Celada, Bruce G. Elmegreen, and Martin Weigert. "Philip Edward Seiden." Physics Today 55, no. 6 (June 2002): 71–72. http://dx.doi.org/10.1063/1.1496387.

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10

Surendran, Aparna. "Profile: Christine Seidman." Nature Medicine 10, no. 5 (May 2004): 444. http://dx.doi.org/10.1038/nm0504-444.

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11

AGM. "Ulrich Paul Seidel." Psychiatric Bulletin 13, no. 2 (February 1989): 105. http://dx.doi.org/10.1192/pb.13.2.105.

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12

Bacher, Sven, Tim M. Blackburn, Franz Essl, Piero Genovesi, Jaakko Heikkilä, Jonathan M. Jeschke, Glyn Jones, et al. "Socio‐economic impact classification of alien taxa ( SEICAT )." Methods in Ecology and Evolution 9, no. 1 (July 31, 2017): 159–68. http://dx.doi.org/10.1111/2041-210x.12844.

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13

Duan, Ban Xiang, Wen Ying Zeng, and Xiao Ping Zhu. "A Preconditioned Gauss-Seidel Iterative Method for Linear Complementarity Problem in Intelligent Materials System." Advanced Materials Research 340 (September 2011): 3–8. http://dx.doi.org/10.4028/www.scientific.net/amr.340.3.

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In this paper, the authors first set up new preconditioned Gauss-Seidel iterative method for solving the linear complementarity problem, whose preconditioned matrix is introduced. Then certain elementary operations row are performed on system matrix before applying the Gauss-Seidel iterative method. Moreover the sufficient conditions for guaranteeing the convergence of the new preconditioned Gauss-Seidel iterative method are presented. Lastly we report some computational results with the proposed method.
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14

Chafik, Sanaa, Abdelhadi Larach, and Cherki Daoui. "Parallel Hierarchical Pre-Gauss-Seidel Value Iteration Algorithm." International Journal of Decision Support System Technology 10, no. 2 (April 2018): 1–22. http://dx.doi.org/10.4018/ijdsst.2018040101.

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The standard Value Iteration (VI) algorithm, referred to as Value Iteration Pre-Jacobi (PJ-VI) algorithm, is the simplest Value Iteration scheme, and the well-known algorithm for solving Markov Decision Processes (MDPs). In the literature, several versions of VI algorithm were developed in order to reduce the number of iterations: the VI Jacobi (VI-J) algorithm, the Value Iteration Pre-Gauss-Seidel (VI-PGS) algorithm and the VI Gauss-Seidel (VI-GS) algorithm. In this article, the authors combine the advantages of VI Pre Gauss-Seidel algorithm, the decomposition technique and the parallelism in order to propose a new Parallel Hierarchical VI Pre-Gauss-Seidel algorithm. Experimental results show that their approach performs better than the traditional VI schemes in the case where the global problem can be decomposed into smaller problems.
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15

Saqib, Muhammad, Muhammad Akram, and Shahida Bashir. "Certain efficient iterative methods for bipolar fuzzy system of linear equations." Journal of Intelligent & Fuzzy Systems 39, no. 3 (October 7, 2020): 3971–85. http://dx.doi.org/10.3233/jifs-200084.

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A bipolar fuzzy set model is an extension of fuzzy set model. We develop new iterative methods: generalized Jacobi, generalized Gauss-Seidel, refined Jacobi, refined Gauss-seidel, refined generalized Jacobi and refined generalized Gauss-seidel methods, for solving bipolar fuzzy system of linear equations(BFSLEs). We decompose n × n BFSLEs into 4n × 4n symmetric crisp linear system. We present some results that give the convergence of proposed iterative methods. We solve some BFSLEs to check the validity, efficiency and stability of our proposed iterative schemes. Further, we compute Hausdorff distance between the exact solutions and approximate solution of our proposed schemes. The numerical examples show that some proposed methods converge for the BFSLEs, but Jacobi and Gauss-seidel iterative methods diverge for BFSLEs. Finally, comparison tables show the performance, validity and efficiency of our proposed iterative methods for BFSLEs.
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16

Joly, Jacques, and Olof G. Lidin. "Ogyu Sorai's Discourse on Government (Seidan): An Annotated Translation." Monumenta Nipponica 56, no. 1 (2001): 115. http://dx.doi.org/10.2307/2668459.

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17

Oldbury, D. "Samuel, Seidel and Oldbury." ICGA Journal 11, no. 4 (December 1, 1988): 203. http://dx.doi.org/10.3233/icg-1988-11426.

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18

Makac, Kristin. "Erinnerungen an Roger Seider." Osteopathische Medizin 17, no. 3 (September 2016): 36. http://dx.doi.org/10.1016/s1615-9071(16)30054-5.

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19

Werblowsky, R. J. Zwi. "Anna Seidel (1939–1991)." Journal of Chinese Religions 20, no. 1 (January 1992): 225–26. http://dx.doi.org/10.1179/073776992805307601.

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20

Ko, Ren-Song, Po-Liang Lin, and Pei-Yu Chiang. "Gauss-seidel correction algorithm." ACM Transactions on Sensor Networks 10, no. 1 (November 2013): 1–42. http://dx.doi.org/10.1145/2529190.

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21

KELLY, W. A. "WHO WAS JOHANNES SEIDEL?" Notes and Queries 37, no. 4 (December 1, 1990): 443—b—443. http://dx.doi.org/10.1093/nq/37-4-443b.

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22

Katz, Steven E., Robert E. Edelman, and Martin Lubow. "The Imposter of Seidel." Journal of Glaucoma 7, no. 4 (August 1998): 223???224. http://dx.doi.org/10.1097/00061198-199808000-00001.

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23

Dil, Ayhan, and Mirac Cetin Firengiz. "Shifted Euler-Seidel matrices." Miskolc Mathematical Notes 18, no. 1 (2017): 173. http://dx.doi.org/10.18514/mmn.2017.1662.

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24

Nygaard, Bertel. "Seidel-Höppner's Wilhelm Weitling." Socialism and Democracy 32, no. 2 (May 4, 2018): 110–18. http://dx.doi.org/10.1080/08854300.2018.1491714.

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25

Wetzel, Theo, and Dieter Spaar. "Dieter Seidel‐65 Jahre." Archives Of Phytopathology And Plant Protection 33, no. 3 (October 2000): 283–85. http://dx.doi.org/10.1080/03235400009383350.

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26

Keitel, W., and G. Wolf. "Kurt Seidel (1914–1990)." Zeitschrift für Rheumatologie 75, no. 7 (August 3, 2016): 736–42. http://dx.doi.org/10.1007/s00393-016-0162-7.

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27

Szöllősi, Ferenc, and Patric R. J. Östergård. "Enumeration of Seidel matrices." European Journal of Combinatorics 69 (March 2018): 169–84. http://dx.doi.org/10.1016/j.ejc.2017.10.009.

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28

Kelsch, G., P. Deffner, and C. Ulrich. "Die Humerusverriegelungsmarknagelung nach Seidel." Der Unfallchirurg 100, no. 2 (February 26, 1997): 111–18. http://dx.doi.org/10.1007/s001130050101.

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29

Anonymous. "Stuart N. Seidman, MD." Psychiatric Annals 30, no. 2 (February 2000): 97. http://dx.doi.org/10.3928/0048-5713-20000201-05.

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30

Toribio Pérez, Pablo. "Los primeros testimonios sobre Martin Seidel, autor de Origo et fundamenta religionis christianae." Anales del Seminario de Historia de la Filosofía 33, no. 1 (April 8, 2016): 59–80. http://dx.doi.org/10.5209/rev_ashf.2016.v33.n1.52289.

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El tratado clandestino Origo et fundamenta religionis christianae ataca los fundamentos del cristianismo y propone una religión natural. Pese a que todas las copias manuscritas que lo conservan datan del siglo xVIII, se encuentran suficientes indicios que señalan al silesio Martin Seidel como su autor y documentan la existencia del texto a finales del siglo xVI o principios del xVII. Las primeras fuentes sobre Seidel lo vinculan con los antitrinitarios de Heidelberg (1570), los unitarios polacos (1580) y los “cripto-socinianos” de Altdorf (1610). En este artículo valoro dichas fuentes y corrijo a la luz de las mismas algunas afirmaciones de la crítica reciente sobre Seidel y su Origo.
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31

Sukarna, S., Muhammad Abdy, and R. Rahmat. "Perbandingan Metode Iterasi Jacobi dan Metode Iterasi Gauss-Seidel dalam Menyelesaikan Sistem Persamaan Linear Fuzzy." Journal of Mathematics, Computations, and Statistics 2, no. 1 (May 12, 2020): 1. http://dx.doi.org/10.35580/jmathcos.v2i1.12447.

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Penelitian ini mengkaji tentang menyelesaian Sistem Persamaan Linear Fuzzy dengan Membanding kan Metode Iterasi Jacobi dan Metode Iterasi Gauss-Seidel. Metode iterasi Jacobi merupakan salah satu metode tak langsung, yang bermula dari suatu hampiran Metode iterasi Jacobi ini digunakan untuk menyelesaikan persamaan linier yang proporsi koefisien nol nya besar. Iterasi dapat diartikan sebagai suatu proses atau metode yang digunakan secara berulang-ulang (pengulangan) dalam menyelesaikan suatu permasalahan matematika ditulis dalam bentuk . Pada metode iterasi Gauss-Seidel, nilai-nilai yang paling akhir dihitung digunakan di dalam semua perhitungan. Jelasnya, di dalam iterasi Jacobi, menghitung dalam bentuk . Setelah mendapatkan Hasil iterasi kedua Metode tersebut maka langkah selanjutnya membandingkan kedua metode tersebut dengan melihat jumlah iterasinya dan nilai Galatnya manakah yang lebih baik dalam menyelesaikan Sistem Persamaan Linear Fuzzy.Kata kunci: Sistem Persamaan Linear Fuzzy, Metode Itersi Jacobi, Metode Iterasi Gauss-Seidel. This study examines the completion of the Linear Fuzzy Equation System by Comparing the Jacobi Iteration Method and the Gauss-Seidel Iteration Method. The Jacobi iteration method is one of the indirect methods, which stems from an almost a method of this Jacobi iteration method used to solve linear equations whose proportion of large zero coefficients. Iteration can be interpreted as a process or method used repeatedly (repetition) in solving a mathematical problem written in the form . In the Gauss-Seidel iteration method, the most recently calculated values are used in all calculations. Obviously, inside Jacobi iteration, counting in form After obtaining the result of second iteration of the Method then the next step compare both methods by seeing the number of iteration and the Error value which is better in solving Linear Fuzzy Equation System.Keywords: Linear Fuzzy Equation System, Jacobi Itersi Method, Gauss-Seidel Iteration Method.
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32

Hagen, Bianca L., and Sabrina Kumschick. "The relevance of using various scoring schemes revealed by an impact assessment of feral mammals." NeoBiota 38 (May 16, 2018): 35–75. http://dx.doi.org/10.3897/neobiota.38.23509.

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Impact scoring schemes are useful for identifying to what extent alien species cause damage. Quantifying the similarity and differences between impact scoring schemes can help determine how to optimally use these tools for policy decisions. Using feral mammals (including rats and mice) as a case study, environmental and socio-economic impacts were assessed using three schemes, namely the Generic Impact Scoring System (GISS), Environmental Impact Classification for Alien Taxa (EICAT) and Socio-Economic Impact Classification for Alien Taxa (SEICAT). The results show that socio-economic impacts scores differ between the respective schemes (GISS and SEICAT) possibly because they assess different aspects of social life and economy. This suggests that both scoring schemes should ideally be applied in concert to get a complete picture of socio-economic impacts. In contrast, environmental impact scores are correlated between GISS and EICAT assessments and this similarity is consistent over most mechanisms except for predation and ecosystems, suggesting that one scoring scheme is sufficient to capture all the environmental impacts. Furthermore, we present evidence for the island susceptibility hypothesis as impacts of feral mammals were found to be higher on islands compared to mainlands.
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33

Greenberg, Albert G., and Robert J. Vanderbei. "Quicker Convergence for Iterative Numerical Solutions to Stochastic Problems: Probabilistic Interpretations, Ordering Heuristics, and Parallel Processing." Probability in the Engineering and Informational Sciences 4, no. 4 (October 1990): 493–521. http://dx.doi.org/10.1017/s0269964800001790.

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Gauss-Seidel is a general method for solving a system of equations (possibly nonlinear). It makes repeated sweeps through the variables; within a sweep as each new estimate for a variable is computed, the current estimate for that variable is replaced with the new estimate immediately, instead of on completion of the sweep. The idea is to use new data as soon as it is computed. Gauss- Seidel is often efficient for computing the invariant measure of a Markov chain (especially if the transition matrix is sparse), and for computing the value function in optimal control problems. In many applications the computation can be significantly improved by appropriately ordering the variables within each sweep. A simple heuristic is presented here for computing an ordering that quickens convergence. In parallel processing, several variables must be computed simultaneously, which appears to work against Gauss-Seidel. Simple asynchronous parallel Gauss-Seidel methods are presented here. Experiments indicate that the methods retain the benefit of a good ordering, while further speeding up convergence by a factor of P if P processors participate.In this paper, we focus on the optimal stopping problem. A probabilistic interpretation of the Gauss-Seidel (and the Jacobi) method for computing the value function is given, which motivates our ordering heuristic. However, the ordering heuristic and parallel processing methods apply in a broader context, in particular, to the important problem of computing the invariant measure of a Markov chain.
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34

Kim, Y. J., and S. B. Lee. "A ROBUST CODE OF GAUSS-SEIDEL SMOOTHER IN OPENFOAM." Journal of Computational Fluids Engineering 24, no. 2 (June 30, 2019): 43–49. http://dx.doi.org/10.6112/kscfe.2019.24.2.043.

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35

Probert, Anna F., Lara Volery, Sabrina Kumschick, Giovanni Vimercati, and Sven Bacher. "Understanding uncertainty in the Impact Classification for Alien Taxa (ICAT) assessments." NeoBiota 62 (October 15, 2020): 387–405. http://dx.doi.org/10.3897/neobiota.62.52010.

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The Environmental Impact Classification for Alien Taxa (EICAT) and the Socio-Economic Impact Classification of Alien Taxa (SEICAT) have been proposed to provide unified methods for classifying alien species according to their magnitude of impacts. EICAT and SEICAT (herein “ICAT” when refered together) were designed to facilitate the comparison between taxa and invasion contexts by using a standardised, semi-quantitative scoring scheme. The ICAT scores are assigned after conducting a literature review to evaluate all impact observations against the protocols’ criteria. EICAT classifies impacts on the native biota of the recipient environments, whereas SEICAT classifies impacts on human activities. A key component of the process is to assign a level of confidence (high, medium or low) to account for uncertainty. Assessors assign confidence scores to each impact record depending on how confident they are that the assigned impact magnitude reflects the true situation. All possible sources of epistemic uncertainty are expected to be captured by one overall confidence score, neglecting linguistic uncertainties that assessors should be aware of. The current way of handling uncertainty is prone to subjectivity and therefore might lead to inconsistencies amongst assessors. This paper identifies the major sources of uncertainty for impacts classified under the ICAT frameworks, where they emerge in the assessment process and how they are likely to be contributing to biases and inconsistency in assessments. In addition, as the current procedures only capture uncertainty at the individual impact report, interspecific comparisons may be limited by various factors, including data availability. Therefore, ranking species, based on impact magnitude under the present systems, does not account for such uncertainty. We identify three types of biases occurring beyond the individual impact report level (and not captured by the confidence score): biases in the existing data, data collection and data assessment. These biases should be recognised when comparing alien species based on their impacts. Clarifying uncertainty concepts relevant to the ICAT frameworks will lead to more consistent impact assessments and more robust intra- and inter-specific comparisons of impact magnitudes.
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36

Havskov, Jens, Peter H. Voss, and Lars Ottemöller. "Seismological Observatory Software: 30 Yr of SEISAN." Seismological Research Letters 91, no. 3 (March 18, 2020): 1846–52. http://dx.doi.org/10.1785/0220190313.

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Abstract The SEISAN software package for processing of earthquake data has been in use for 30 yr. SEISAN is a collection of programs that help to carry out tasks from the basic processing at a seismological observatory to more advanced seismological research. During its history, the software has been adopted to different hardware and operating systems. However, the core of the software with a folder- and files-based database and event-based processing has remained stable. The main focus in the design and development of the software has been the efficiency in data processing for the user. The software comes with manual, tutorial, and training exercises. This together with regular training activities has made SEISAN a useful tool for many observatories around the world.
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37

Zhang, Cheng-yi, Dan Ye, Cong-Lei Zhong, and SHUANGHUA SHUANGHUA. "Convergence on Gauss-Seidel iterative methods for linear systems with general H-matrices." Electronic Journal of Linear Algebra 30 (February 8, 2015): 843–70. http://dx.doi.org/10.13001/1081-3810.1972.

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It is well known that as a famous type of iterative methods in numerical linear algebra, Gauss-Seidel iterative methods are convergent for linear systems with strictly or irreducibly diagonally dominant matrices, invertible H−matrices (generalized strictly diagonally dominant matrices) and Hermitian positive definite matrices. But, the same is not necessarily true for linear systems with non-strictly diagonally dominant matrices and general H−matrices. This paper firstly proposes some necessary and sufficient conditions for convergence on Gauss-Seidel iterative methods to establish several new theoretical results on linear systems with nonstrictly diagonally dominant matrices and general H−matrices. Then, the convergence results on preconditioned Gauss-Seidel (PGS) iterative methods for general H−matrices are presented. Finally, some numerical examples are given to demonstrate the results obtained in this paper.
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38

Tatiana Lopes Seixas, Paula, Henrique Guilhon Castro, Luiz Claudio Almeida Barbosa, Antonio Jacinto Demuner, and Marcelo Coutinho Picanço. "Content and composition of the essential oil of Artemisia annua in two harvest times." Journal of Biotechnology and Biodiversity 7, no. 3 (December 22, 2019): 391–98. http://dx.doi.org/10.20873/jbb.uft.cemaf.v7n3.seixas.

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Artemisia annua is traditionally used in the treatment for malaria due to presence of the active principle artemisinin. The aim of the present study was to evaluate the essential oil content and chemical composition of A. annua submitted to four doses of mineral fertilization in two harvest times. The seedlings of A. annua were cultivated in 10 L pots kept in a greenhouse. The tested doses of mineral fertilization were the following: without fertilization (D0), 50% of the recommended dose (D1), recommended dose (D2), and 150% of the recommended dose (D3). The samples for extracting the essential oils were collected at 60 and 125 days after transplantation (DAT). The essential oil was obtained by hydrodistillation using a Clevenger-type apparatus. Identification and relative percentage of the compounds of the essential oil were performed by gas chromatography coupled to mass spectrometry. The highest essential oil content obtained was 0.81% using the dose D0 at 60 DAT. The increase of the dose of mineral fertilization indicated a disadvantage with the reduction of the essential oil content in the two harvesting times. The major constituents found in the essential oil were camphor and borneol. The results indicate that A. annua could be an alternative source of borneol and camphor, active component with use in the chemical and pharmaceutical industry.
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39

Siregar, Bismar. "MENGHAKIMI YANG BUKAN SEIMAN, BOLEHKAH?" ALQALAM 13, no. 68 (December 31, 1997): 1. http://dx.doi.org/10.32678/alqalam.v13i68.501.

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40

O’Rourke, Maureen A. "In Memoriam Robert B. Seidman." European Journal of Law Reform 20, no. 1 (March 2018): 5–7. http://dx.doi.org/10.5553/ejlr/138723702018020001002.

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41

Bannai, Eiichi, Willem Haemers, and Patrick Solé. "Johan Jacob Seidel 1919–2001." European Journal of Combinatorics 25, no. 2 (February 2004): 145–46. http://dx.doi.org/10.1016/s0195-6698(03)00094-5.

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42

Parizot, Suzanne, and Martin Reca. "Interview de Freddy Seidel-Diaz." L'information psychiatrique 90, no. 4 (2014): 281. http://dx.doi.org/10.3917/inpsy.9004.0281.

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43

von Falkenhausen, Lothar. "Anna Katharina Seidel (1938–1991)." Journal of Asian Studies 51, no. 1 (February 1992): 242–43. http://dx.doi.org/10.1017/s0021911800047306.

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44

Dirks, John H. "Donald W. Seidin, 1920–2018." FASEB Journal 33, no. 4 (March 28, 2019): 4657–59. http://dx.doi.org/10.1096/fj.190402ufm.

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45

Saunders, Fenella. "First Person: Sally C. Seidel." American Scientist 105, no. 6 (2017): 330. http://dx.doi.org/10.1511/2017.105.6.330.

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46

Vick, Randy M. "An Interview with Don Seiden." Art Therapy 13, no. 3 (July 1996): 191–97. http://dx.doi.org/10.1080/07421656.1996.10759219.

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47

Makhnev, A. A., and D. V. Paduchikh. "On 2-locally Seidel graphs." Izvestiya: Mathematics 61, no. 4 (August 31, 1997): 743–56. http://dx.doi.org/10.1070/im1997v061n04abeh000136.

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48

Samuel-Cahn, Ester. "A Conversation with Esther Seiden." Statistical Science 7, no. 3 (August 1992): 339–57. http://dx.doi.org/10.1214/ss/1177011231.

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49

Nageswari, P., and P. B. Sarasija. "Seidel energy and its bounds." International Journal of Mathematical Analysis 8 (2014): 2869–71. http://dx.doi.org/10.12988/ijma.2014.410309.

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50

Neill, Ushma S. "A conversation with Christine Seidman." Journal of Clinical Investigation 123, no. 7 (July 1, 2013): 2754–55. http://dx.doi.org/10.1172/jci71159.

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