handbook of residue analytical methods for agrochemicals volume 1 and volume 2

... 11 15 Gas chromatography with ECD and NPD 11 17 Procedure 11 17 Summary 11 27 References 11 27 Neonicotinoids Hiroko Kobayashi 11 28 Introduction 11 28 Analytical methodology for plant materials 11 28 Nature ... 11 28 Nature of the residue 11 28 Analytical method principle 11 30 Analytical methodology for soil 11 38 Nature of soil residues 11 38 Analytical method 11 39 Analytical methodology for water 11 41 Nature of ... 11 79 Reagents 11 80 Plants 11 80 Soil and water 11 80 Sampling and preparation 11 80 Procedure 11 80 Extraction 11 80 Cleanup 11 81 Determination 11 84 Evaluation 11 87 Method 11 87 Recoveries, limit of...

Ngày tải lên: 17/03/2014, 02:20

... Ikeda, Yoshihiro Saito and Akira Yagi 12 21 Introduction 12 21 Outline of method 12 22 Equipment 12 22 Reagents 12 22 Sample preparation 12 23 Procedure 12 23 Extraction 12 23 Cleanup 12 24 Gas-chromatographic ... 12 14 Important points 12 14 Imibenconazole Fujio Ishijima 12 15 Introduction 12 15 Outline of method 12 16 Apparatus 12 16 Reagents 12 16 Sampling and preparation 12 17 Procedure 12 17 Extraction 12 17 Cleanup ... 12 12 Reagents 12 12 Sampling and preparation 12 12 Procedure 12 12 Extraction 12 12 Liquid–liquid partition 12 13 Determination by gas chromatography 12 13 Evaluation 12 13 Method 12 13 Limit of detection 12 14 Method...

Ngày tải lên: 23/03/2014, 00:20

Ngày tải lên: 27/06/2014, 23:20

... ( 2 011 ) D5 526 - 94 (2 011 )e1 . Standard Test Method for Determining Anaerobic Biodegradation of Plastic Materials Under Accelerated Landfi ll Conditions , American Society for Testing and ... ) Mater. Org. , 25 , 87 . 26 6 11 Analytical Methods for Monitoring Biodegradation Processes Aerobic biodegradation: COCOHOCC polymer residue biomass +→ + + + 22 2 (11 .1) Anaerobic biodegradation: ... Appl. Polym. Sci. , 42 , 26 91 . 11 Breslin , V.T. ( 19 93 ) J. Environ. Polym. Degrad. , 1 , 12 7 . 12 Anonymous ( 19 92 ) Towards Common Ground – Meeting Summary of the International...

Ngày tải lên: 25/10/2013, 08:20

... schemes 13 2 .1 Consistency 14 2. 2 Stability 15 2. 2 .1 Invariantdomains 15 2. 2 .2 Entropyinequalities 16 2. 3 ApproximateRiemannsolverofHarten,Lax,VanLeer 19 2. 3 .1 Simplesolvers 22 2. 3 .2 Roesolver 24 2. 3.3 ... equation in (2 .16 4) to (2 .16 2) , we deduce that e n +1 i ≥ e(ρ n +1 i ,s n +1 i ), (2 .16 5) where s n +1 i is computed by (2 .16 1). Therefore, e n +1 i ≥ 0, and since by (1. 12) ( ∂s ∂e ) ρ =1/ T > 0, ... ρ i u i + ∆t ∆x i  F ρu i +1/ 2 − F ρu i 1/ 2  =0, ρ n +1 i s n +1 i − ρ i s i + ∆t ∆x i  F ρs i +1/ 2 − F ρs i 1/ 2  =0, (2 .16 1) satisfying an entropy inequality ρ n +1 i ((u n +1 i ) 2 /2+ e(ρ n +1 i ,s n +1 i ))−ρ i (u 2 i /2+ e(ρ i ,s i ))+ ∆t ∆x i  F e i +1/ 2 −F e i 1/ 2  ≤...

Ngày tải lên: 23/03/2014, 01:20

... 3.4c 64. Life-cycle management P – 11 c; 15 b; * 1. 1b; 1. 2c; 2. 1b; 2. 2b; 2. 6b; 3.4c 65. Life-cycle product design P – 3c; 11 c; 15 b; * 1. 1b; 1. 2c; 2. 1b; 2. 2b; 2. 6b; 3.4c 66. Manufacturing enterprise ... – 1b; 2b; 3c; 4b; 5d; 6c; 7c; 11 b; 12 c; 13 b; 14 d; * 1. 1d; 1. 2c; 1. 3b; 2. 3b; 2. 4b; 2. 5c; 3.1d; 3.2c; 3.3b; 3.5b; 3.6b; 4.1b 51. Group technology M – 1b; 2b; 3b; 4b; 5d; 6c; 7b; 8c; * 1. 3b; 1. 4d; ... – 1b; 2c; 3b; 4c; 7b; 10 d; 11 c; 13 c; 16 d; * 1. 1b; 1. 2c; 1. 3d; 2. 1d; 2. 3c; 3.2c; 3.3b; 3.5b; 3.6c; 4.3b; 4.4b 71. Material requirements planning – MRP S – 1b; 4c; 6c; 7b; 10 c; 13 c; * 1. 2c; 1. 3b;...

Ngày tải lên: 13/02/2014, 16:20

... ME/L2 0. 917 6 1, 21 1 , 026 62 12 9 ME/L1 0. 916 5 19 , 12 1 37 17 4 AP 0. 916 4 939 ,24 8 2 8 Boosting 0. 913 1 6, 714 495 92, 600 BLasso 0. 913 3 8,085 23 9 56,500 Table 1: Performance ... in Section 2 .1. CER # features time (min) #train iter Baseline 10 .24 % MAP 7.98% ME/L2 6.99% 29 5,337 27 665 ME/L1 7. 01% 53,3 42 25 864 AP 7 .23 % 16 7,5 91 6 56 Boost ... Sections 0 -18 , the development set — Sections 19 - 21 , and the test set — Sections 22 -24 . We compared training the ME models using L 1 and L 2 regularization. For each of the two types of regularization...

Ngày tải lên: 08/03/2014, 02:21

... 10 . References Kenneth W. Church and Patrick Hanks. (19 90)Word Association Norms, Mutual Information, And Lexicography. Computational Linguistics, 16 /1, pp. 22 29 . Barbara J. Grosz and ... Morris and Graeme Hirst. (19 91) Lexical Cohesion Computed by Thesaural Relations as an Indicator of the Structure of Text. Computational Linguistics, 17 /1, pp. 21 48. Tadashi Nomoto and Yoshihiko ... Barbara J. Grosz and Candace L. Sidner. (19 86) Attention, Intentions and the Structure of Discourse. Computational Linguistics, 12 , pp. 17 5 20 4. Marti A. Hearst. (19 97) TextTiling: Segmenting...

Ngày tải lên: 08/03/2014, 05:21

... 11 d; 14 c; 15 c; 16 c; * 1. 1d; 1. 2b; 1. 5b; 2. 2c; 2. 6b; 3.1d; 3.4c; 4.6c 84. Production information and control system – PICS S – 1b; 2c; 4d; 6d; 7c; 10 c; 13 c; * 1. 2c; 1. 3b; 1. 6c; 2. 3b; 2. 4b; 2. 5d; ... 1. 2c; 2. 1b; 2. 2b; 2. 6b; 3.4c 64. Life-cycle management P – 11 c; 15 b; * 1. 1b; 1. 2c; 2. 1b; 2. 2b; 2. 6b; 3.4c 65. Life-cycle product design P – 3c; 11 c; 15 b; * 1. 1b; 1. 2c; 2. 1b; 2. 2b; 2. 6b; 3.4c ... 4.2c 10 7. Virtual reality P – 2c; 3c; 4d; 8d; 9b; 10 c; 13 c; * 1. 1b; 1. 2b; 1. 3c; 1. 6d; 2. 2b; 3.2c; 3.3c; 4.1b; 4.2c 10 8. Waste management and recycling M – 13 d; 15 b; * 1. 2b; 2. 2b; 2. 4b; 2. 5c;...

Ngày tải lên: 22/03/2014, 12:20

... 0 .11 7 0. 922 0.008 0.8 81 0.006 0.880 CHI 0. 015 0. 814 0. 21 1 0.748 0.0 92 0.5 72 0.055 0.676 IG 0.087 0. 525 0 .20 9 0.7 92 0.095 0.559 0.066 0.669 WLLR 0. 026 0.764 0 .20 6 0.805 0 .16 8 0. 414 0 . 12 7 ... 0 . 12 7 0.4 81 DF 0 . 12 2 0 .25 2 0 .26 8 0.5 62 0. 419 0.09 0.3 21 0 .11 1 Table 1. The mean values of all top -2% terms’ MI and DF scores using six FS methods in each domain can rank these six methods ... 10 20 50 10 0 20 0 500 10 00 20 00 3000 422 7 0.88 0.9 0. 92 0.94 0.96 0.98 1 feature number accuracy Topic - R2 DF MI IG BNS CHI WLLR WFO 20 0 500 10 00 20 00 5000 10 000 15 000 20 000 30000 320 91 0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 feature...

Ngày tải lên: 30/03/2014, 23:20

... 1 n  j =1  2 2 +  1 + 1 n  σ 2 − 2 n E  x 2 j  − 2 n  j=k E [x j x k ]  = = 1 n − 1 n  j =1  2 2 +  1 + 1 n  σ 2 − 2 n  µ 2 + σ 2  − 2 n − 1 n µ 2  = = 1 n − 1 n  j =1  n − 1 n σ 2 − 2 n µ 2 + 2 n µ 2  = ... to 1 n − 1 n  j =1 E  (x j − ¯x) 2  = = 1 n − 1 n  j =1  E  x 2 j  − 2 E [x j ¯x] + E  ¯x 2  = = 1 n − 1 n  j =1  µ 2 + σ 2 − 2 n E  x j n  k =1 x k  + µ 2 + σ 2 n  = = 1 n − 1 n  j =1  2 2 +  1 ... 1 n  j =1  n − 1 n σ 2 − 2 n µ 2 + 2 n µ 2  = σ 2 . (10 0) Hence, we get that E [s 2 ] = σ 2 and that s 2 is an unbiased estimate for σ 2 . 47 (a) (b) (c) (d) Figure 12 : Robust incremental vs....

Ngày tải lên: 24/04/2014, 13:47

Ngày tải lên: 23/05/2014, 11:08

Ngày tải lên: 21/06/2014, 03:20

Ngày tải lên: 21/06/2014, 11:20

Ngày tải lên: 21/06/2014, 23:20

Ngày tải lên: 22/06/2014, 19:20