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https://w.atwiki.jp/metalmetabo/pages/33.html
- visitors Metabolic network analysis of Streptomyces tenebrarius, a Streptomyces species with an active Entner-Doudoroff pathway nih.gov [HTML]I Borodina, C Scholler, A Eliasson, J … - Applied and …, 2005 - Am Soc Microbiol http //scholar.google.com/scholar?q=related vbWz9Ak9HjwJ scholar.google.com/ hl=ja as_sdt=2000 Streptomyces tenebrarius is an industrially important microorganism, producing an antibiotic complex that mainly consists of the aminoglycosides apramycin, tobramycin carbamate, and kanamycin B carbamate. When S. tenebrarius is used for industrial tobramycin ... Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network J Lee, H Yun, AM Feist, BØ Palsson, SY Lee - Applied microbiology and …, 2008 - Springer http //scholar.google.com/scholar?q=related 6k93cgR0CzwJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. GENOMICS AND PROTEOMICS Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic network Joungmin Lee Hongseok Yun Adam M. Feist Bernhard Ø. Palsson Sang Yup Lee ... Metabolic networks in motion 13C-based flux analysis nih.gov [HTML]U Sauer - Molecular systems biology, 2006 - nature.com http //scholar.google.com/scholar?q=related B0vTesydGZwJ scholar.google.com/ hl=ja as_sdt=2000 ... Curr Opin Biotechnol 16 350–355 | Article | PubMed | ISI | ChemPort |; Borodina I, Schöller C, Eliasson A, Nielsen J (2005) Metabolic network analysis of Streptomyces tenebrarius, a Streptomyces species with an active Entner–Doudoroff pathway. ... Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks hindawi.com [PDF]O Fiehn - Comparative and Functional Genomics, 2001 - Wiley Online Library http //scholar.google.com/scholar?q=related -r0O-RbpfxsJ scholar.google.com/ hl=ja as_sdt=2000 ... Metabolomics. The obvious next step in metabolic network analysis is to try to determine metabolic snapshots in a broad and comprehensive way. ... 13 Christensen B, Nielsen J. Metabolic network analysis a powerful tool in metabolic engineering. ... A metabolic network analysis NMR experiment design tool with user interface-driven model construction for depth-first search analysis T Zhu, C Phalakornkule, S Ghosh, IE Grossmann, … - Metabolic …, 2003 - Elsevier http //scholar.google.com/scholar?q=related Ov3p-3IVXxsJ scholar.google.com/ hl=ja as_sdt=2000 A Windows program for metabolic engineering analysis and experimental design has been developed. A graphical user interface enables the pictorial, “on-screen” construction of a metabolic network. Once a model is composed, balance equations are automatically generated. ... Genome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnology plos.org [HTML]J Puchałka, MA Oberhardt, M Godinho, A Bielecka, … - PLoS Comput …, 2008 - dx.plos.org PLoS Computational Biology is an open-access. http //scholar.google.com/scholar?q=related V6wktboEeLMJ scholar.google.com/ hl=ja as_sdt=2000 Integrated analysis of regulatory and metabolic networks reveals novel regulatory mechanisms in Saccharomyces cerevisiae cshlp.org [HTML]MJ Herrgård, BS Lee, V Portnoy, BØ … - Genome research, 2006 - genome.cshlp.org http //scholar.google.com/scholar?q=related -IQUN4gFKUgJ scholar.google.com/ hl=ja as_sdt=2000 ... biomass composition). The integration of the metabolic network analysis and the transcriptional regulatory network model described above is accomplished using the regulated flux balance analysis approach (Covert et al. 2001). In ... Validation of a metabolic network for Saccharomyces cerevisiae using mixed substrate studies ulaval.ca [PDF]PA Vanrolleghem, P de Jong-Gubbels, … - Biotechnology …, 1996 - interscience.wiley.com http //scholar.google.com/scholar?q=related jaCs_pUlSXcJ scholar.google.com/ hl=ja as_sdt=2000 Page 1. ARTICLES Validation of a Metabolic Network for Saccharomyces cerevisiae Using Mixed Substrate Studies Peter A. Vanrolleghem,*,† Patricia de Jong-Gubbels,‡ Walter M. van Gulik,§ Jack T. Pronk,‡ Johannes P. van Dijken,‡ and Sef Heijnen† ... Metabolic‐flux analysis of Saccharomyces cerevisiae CEN. PK113‐7D based on mass isotopomer measurements of 13C‐labeled primary metabolites WA Winden, JC Dam, C Ras, RJ Kleijn, JL … - FEMS yeast …, 2005 - Wiley Online Library Skip to Main Content. ... http //scholar.google.com/scholar?q=related fM6Xi9-F_GIJ scholar.google.com/ hl=ja as_sdt=2000 The efficiency of multi-target drugs the network approach might help drug design arxiv.org [PDF]P Csermely, V Agoston, S Pongor - Trends in pharmacological sciences, 2005 - Elsevier http //scholar.google.com/scholar?q=related U0rlpj3tgrYJ scholar.google.com/ hl=ja as_sdt=2000 ... 6111–6121. Full Text via CrossRef | View Record in Scopus | Cited By in Scopus (53). 8 B. Papp et al., Metabolic network analysis of the causes and evolution of enzyme dispensability in yeast, Nature 429 (2004), pp. 661–664. Full Text via CrossRef | View Record in Scopus |.
https://w.atwiki.jp/artifact_magicaloss/pages/92.html
黄色い花 ドロップするモンスター マンドラゴラ アルラウネ ガルゲンメンライン 主材料とする家具 画像 家具名 主材料 副材料 サイズ 備考 黄色い花の花瓶 黄色い花×3 粘土×1黄色い液体×1 黄色い花の観葉植物 黄色い花×5 粘土×1 プランターの観葉植物 黄色い花×30 粘土×2 ピンクの花 主材料とする家具 画像 家具名 主材料 副材料 サイズ 備考 ピンクの花の木箱 ピンクの花×3 草花を生けたグラス ピンクの花×1 水晶×1
https://w.atwiki.jp/ce00582/pages/1569.html
Private Sub Command1_Click() Dim byear As Single Dim age As Single Dim car As Single Dim mis(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mos(1985 To 2100, 15 To 64, 1 To 49) As Single Dim m2by(1900 To 2100, 15 To 69) As Single Dim f2by(1900 To 2100, 15 To 69) As Single Dim mdeby(1900 To 2100, 0 To 99) As Single Dim fdeby(1900 To 2100, 0 To 99) As Single Dim alpha(15 To 69) As Single Dim beta(15 To 69) As Single Dim gamma(15 To 69) As Single Dim theta(15 To 65) As Single Dim zan(1985 To 2100, 15 To 64, 1 To 49) As Single Dim zant(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mde(1985 To 2100, 0 To 99) As Single Dim mnew(1985 To 2100) As Single Dim z1 As Single Dim z2 As Single Dim z3 As Single Dim v As Single Open "c /eli/data/男子脱退力.txt " For Input As #2 Do Until EOF(2) Input #2, a1, a2, a3, a4 age = a1 gamma(age) = a2 alpha(age) = a3 beta(age) = a4 Loop Close #2 Open "c /eli/data/再加入率.txt " For Input As #3 Do Until EOF(3) Input #3, a1, a2, a3, a4 age = a1 theta(age) = a2 Loop Close #3 Open "c /eli/gdata/変形厚生年金被保険者.txt " For Input As #5 Do Until EOF(5) Input #5, a1, a2, a3, a4 byear = a1 age = a2 m2by(byear, age) = a3 f2by(byear, age) = a4 Loop Close #5 For byear = 1990 To 2034 age = 15 mis(byear, age, 1) = m2by(byear, age) For age = 16 To 64 z1 = (1 - gamma(age - 1)) * m2by(byear, age - 1) z2 = m2by(byear, age) - z1 If z2 0 Then z2 = 0 z3 = (1 - theta(age)) * z2 z4 = theta(age) * z2 mis(byear, age, 1) = z3 z5 = 0 For car = 1 To 49 z5 = z5 + mos(byear, age - 1, car) Next If z5 = 0 Then z5 = 1 v = z4 / z5 If v 1 Then v = 1 For car = 2 To 49 mis(byear, age, car) = (1 - gamma(age - 1)) * mis(byear, age - 1, car - 1) + v * mos(byear, age - 1, car - 1) Next For car = 1 To 49 mos(byear, age, car) = (gamma(age - 1) - alpha(age - 1) - beta(age)) * mis(byear, age - 1, car) + (1 - alpha(age - 1) - v) * mos(byear, age - 1, car) Next Next z1 = 0 For car = 25 To 49 z1 = z1 + mis(byear, 64, car) + mos(byear, 64, car) Next mnew(byear) = z1 Next Open "c /eli/gdata/男子新規裁定者1.txt " For Output As #4 For byear = 1990 To 2100 Write #4, byear, mnew(byear) Next Close #4 End Sub
https://w.atwiki.jp/ce00582/pages/1880.html
Private Sub Command1_Click() Dim byear As Single Dim age As Single Dim car As Single Dim mis(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mos(1985 To 2100, 15 To 64, 1 To 49) As Single Dim m2by(1900 To 2100, 15 To 69) As Single Dim f2by(1900 To 2100, 15 To 69) As Single Dim mdeby(1900 To 2100, 0 To 99) As Single Dim fdeby(1900 To 2100, 0 To 99) As Single Dim alpha(15 To 69) As Single Dim beta(15 To 69) As Single Dim gamma(15 To 69) As Single Dim theta(15 To 64) As Single Dim zan(1985 To 2100, 15 To 64, 1 To 49) As Single Dim zant(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mde(1985 To 2100, 0 To 99) As Single Dim fnew(1985 To 2100) As Single Dim z1 As Single Dim z2 As Single Dim z3 As Single Dim v As Single Open "c /dig/data/女子脱退力.txt " For Input As #2 Do Until EOF(2) Input #2, a1, a2, a3, a4 age = a1 gamma(age) = a2 alpha(age) = a3 beta(age) = a4 Loop Close #2 Open "c /dig/data/再加入率.txt " For Input As #3 Do Until EOF(3) Input #3, a1, a2, a3, a4 age = a1 theta(age) = a3 Loop Close #3 Open "c /dig/gdata/変形厚生年金被保険者.txt " For Input As #5 Do Until EOF(5) Input #5, a1, a2, a3, a4 byear = a1 age = a2 m2by(byear, age) = a3 f2by(byear, age) = a4 Loop Close #5 For byear = 1990 To 2034 age = 15 mis(byear, age, 1) = f2by(byear, age) For age = 16 To 64 z1 = (1 - gamma(age - 1)) * f2by(byear, age - 1) z2 = f2by(byear, age) - z1 If z2 0 Then z2 = 0 z3 = (1 - theta(age)) * z2 z4 = theta(age) * z2 mis(byear, age, 1) = z3 z5 = 0 For car = 1 To 49 z5 = z5 + mos(byear, age - 1, car) Next If z5 = 0 Then z5 = 1 v = z4 / z5 If v 1 Then v = 1 For car = 2 To 49 mis(byear, age, car) = (1 - gamma(age - 1)) * mis(byear, age - 1, car - 1) + v * mos(byear, age - 1, car - 1) Next For car = 1 To 49 mos(byear, age, car) = (gamma(age - 1) - alpha(age - 1) - beta(age)) * mis(byear, age - 1, car) + (1 - alpha(age - 1) - v) * mos(byear, age - 1, car) Next Next z1 = 0 For car = 25 To 49 z1 = z1 + mis(byear, 64, car) + mos(byear, 64, car) Next fnew(byear) = z1 Next Open "c /dig/gdata/女子新規裁定者1.txt " For Output As #4 For byear = 1990 To 2100 Write #4, byear, fnew(byear) Next Close #4 End Sub
https://w.atwiki.jp/ce00582/pages/3614.html
import java.awt.*; import java.awt.event.*; class game0422 extends Frame implements Runnable{ double x,y,z; double rx,ry; double x1,x2,x3,y1,y2,y3; double px[][][]=new double[2][2][2]; double py[][][]=new double[2][2][2]; int m1,m2,m3; public static void main(String [] args) { Frame f=new game0422(); f.setTitle("game0422"); f.setSize(700,700); f.setBackground(Color.yellow); f.setVisible(true); } game0422(){ for (m1=0;m1 2;m1++){ for (m2=0;m2 2;m2++){ for (m3=0;m3 2;m3++){ x=100+m1*100; y=100+m2*100; z=100+m3*100; rot(x,y,z); px[m1][m2][m3]=rx; py[m1][m2][m3]=ry; } } } Thread th=new Thread(this); th.start(); addWindowListener(new stopwin()); } class stopwin extends WindowAdapter{ public void windowClosing(WindowEvent we){System.exit(0);} } public void run(){ int t; t=1; while(t 100){ repaint(); try{ Thread.sleep(1000); }catch(InterruptedException e){} t=t+1; } repaint(); } public void paint(Graphics g){ int gx1,gy1,gx2,gy2,gx3,gy3,gx4,gy4; int xx[]=new int[4]; int yy[]=new int[4]; xx[0]=seekgx(px[0][0][0]); yy[0]=seekgy(py[0][0][0]); xx[1]=seekgx(px[1][0][0]); yy[1]=seekgy(py[1][0][0]); xx[2]=seekgx(px[1][1][0]); yy[2]=seekgy(py[1][1][0]); xx[3]=seekgx(px[0][1][0]); yy[3]=seekgy(py[0][1][0]); g.drawPolygon(xx,yy,4); } public int seekgx(double x){ return (int)(100+x); } public int seekgy(double y){ return (int)(400-y); } public void rot(double x,double y,double z){ double theta,phi; double a1,a2,a3,a4; theta = -40*Math.PI/180; phi=60*Math.PI/180; a1=Math.cos(theta); a2=Math.sin(theta); a3=Math.cos(phi); a4=Math.sin(phi); rx=-a2*x+a1*y; ry=-a1*a4*x-a2*a3*y+a4*z; } }
https://w.atwiki.jp/gtavi_gta6/pages/1539.html
山刀 （Machete） 山刀 （Machete）ステータス 概要 本体入手場所オフライン オンライン ゲーム内解説（英語） （日本語） 価格本体 ステータス Damage Fire Rate 概要 2015年10月20日配信のローライダーズで追加された武器。 PS4/Xbox One/PC限定品。 性能は手斧と同一で、重厚な見た目に反しバット以下の攻撃力しかない。 静止時の攻撃（袈裟斬り）と背後からのステルスキル（腰に刃を突き立てて切り裂く）が専用のモーションとなっているが、ステルスキル時には勢いあまって自分を切りつけてしまうらしく左脇腹に傷がついてしまう。 本体入手場所 オフライン ミッション「ナーバス・ロン」クリア後、アミュネーションで購入可能になる。 オンライン アミュネーションで購入。 ゲーム内解説 （英語） America's West African arms trade isn t just about giving. Redsicover the simple ilfe with this rusty cleaver. Part of Lowriders. （日本語） アメリカの西アフリカにおける武器トレードは供給するばかりではない。 この錆びた大包丁で、質素だったあの頃を思い出そう。ローライダーズ収録。 価格 本体 プラットホーム 名称 販売額 アンロック条件 オフライン オンライン オフライン オンライン PS4Xbox OnePC限定 本体 $8,900 ミッション「ナーバス・ロン」クリア（ローライダーズ導入） ローライダーズ導入
https://w.atwiki.jp/ce00582/pages/512.html
Function seekx(n As Single, x, b) As Single Dim num As Single Dim nus As Single Dim sol As Single Dim m As Single num = 0 For m = 1 To 203 If x(m, n) 0 Then num = num + 1 Next For m = 1 To 203 If x(m, n) 0 Then nus = m Next sol = 0 If num = 1 Then sol = b(nus) / x(nus, n) seekx = sol End Function Function seekpibot(v As Single, x, b) As Single Dim under As Single Dim minc As Single Dim h As Single Dim c(1 To 203) As Single For m = 1 To 203 under = x(m, v) If under = 0 Then under = -1 c(m) = b(m) / under If under 0 Then c(m) = 1000 Next minc = 999 For m = 1 To 203 h = 0 If c(m) minc Then h = h + 1 If c(m) 0 Then h = h + 1 If c(m) = 0 Then h = h + 1 If h = 2 Then op = m If h = 2 Then minc = c(m) Next seekpibot = op End Function Function seekv(x) As Single Dim v1 As Single Dim s As Single Dim n As Single v1 = 999 For s = 1 To 405 n = 406 - s If x(0, n) 0 Then v1 = n Next seekv = v1 End Function Private Sub Command1_Click() Dim x(0 To 203, 1 To 405) As Single Dim b(0 To 203) As Single Dim m As Single Dim n As Single Dim v As Single Dim pibot As Single Dim theta As Single Dim u(0 To 100) As Single theta = 1.2 For n = 1 To 100 u(n) = Log(0.01 * n) Next u(0) = -20 For n = 1 To 100 x(0, n) = u(n) - u(n - 1) x(0, 100 + n) = u(n) - u(n - 1) Next For m = 1 To 200 x(m, m) = 1 Next For n = 1 To 100 x(201, n) = 1 Next x(201, 201) = -1 For n = 101 To 200 x(202, n) = 1 Next x(202, 202) = -1 x(203, 201) = 1 x(203, 202) = theta For m = 1 To 203 x(m, 202 + m) = 1 Next For m = 1 To 200 b(m) = 1 Next b(203) = theta * 100 v = 1 s1 = 0 Do Until s1 10000 pibot = seekpibot(v, x, b) For m = 0 To 203 z = x(m, v) / x(pibot, v) If m = pibot Then z = 0 For n = 1 To 405 x(m, n) = x(m, n) - z * x(pibot, n) Next b(m) = b(m) - z * b(pibot) Next v = seekv(x) If v 500 Then s1 = 100000 s1 = s1 + 1 Debug.Print s1, b(0) Loop For n = 1 To 203 Debug.Print n, seekx(n, x, b) Next End Sub
https://w.atwiki.jp/metalmetabo/pages/35.html
74. Comparative metabolic flux analysis of lysine-producing Corynebacterium glutamicum cultured on glucose or fructose nih.gov [HTML]P Kiefer, E Heinzle, O Zelder, C … - Applied and …, 2004 - Am Soc Microbiol ... A comprehensive approach to 13 C tracer studies, labeling measurements by gas chromatography-mass spectrometry, metabolite balancing, and isotopomer modeling, was applied for comparative metabolic network analysis of lysine-producing Corynebacterium glutamicum ... 70. It is all about metabolic fluxes nih.gov [HTML]J Nielsen - Journal of bacteriology, 2003 - Am Soc Microbiol http //scholar.google.com/scholar?q=related xAvLLrdbbNYJ scholar.google.com/ hl=ja as_sdt=2000 ... I. Experimental observations. Biotechnol. Bioeng. 55 305-316.[CrossRef] 21; Thykaer, J., B. Christensen, and J. Nielsen. 2002. Metabolic network analysis of an adipoyl-7-ADCA producing strain of Penicillium chrysogenum elucidation of adipate degradation.Metab. Eng. ... 47. In vivo analysis of intracellular amino acid labelings by GC/MS. C Wittmann, M Hans, E Heinzle - Analytical biochemistry, 2002 - mendeley.com ... TBDMS derivatization of amino acids is especially useful in metabolic network analysis, because M-57 fragments containing the entire carbon skeleton of the analyte can be observed by GC/MS with high signal intensities 8. The potential of the method is exemplified for ...
https://w.atwiki.jp/ce00582/pages/1582.html
Private Sub Command1_Click() Dim byear As Single Dim age As Single Dim car As Single Dim mis(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mos(1985 To 2100, 15 To 64, 1 To 49) As Single Dim m2by(1900 To 2100, 15 To 69) As Single Dim f2by(1900 To 2100, 15 To 69) As Single Dim mdeby(1900 To 2100, 0 To 99) As Single Dim fdeby(1900 To 2100, 0 To 99) As Single Dim alpha(15 To 69) As Single Dim beta(15 To 69) As Single Dim gamma(15 To 69) As Single Dim theta(15 To 65) As Single Dim zan(1985 To 2100, 15 To 64, 1 To 49) As Single Dim zant(1985 To 2100, 15 To 64, 1 To 49) As Single Dim mde(1985 To 2100, 0 To 99) As Single Dim mnew(1985 To 2100) As Single Dim z1 As Single Dim z2 As Single Dim z3 As Single Dim v As Single Open "c /eli/data/男子脱退力.txt " For Input As #2 Do Until EOF(2) Input #2, a1, a2, a3, a4 age = a1 gamma(age) = a2 alpha(age) = a3 beta(age) = a4 Loop Close #2 Open "c /eli/data/再加入率.txt " For Input As #3 Do Until EOF(3) Input #3, a1, a2, a3, a4 age = a1 theta(age) = a2 Loop Close #3 Open "c /eli/gdata/変形厚生年金被保険者.txt " For Input As #5 Do Until EOF(5) Input #5, a1, a2, a3, a4 byear = a1 age = a2 m2by(byear, age) = a3 f2by(byear, age) = a4 Loop Close #5 For byear = 1990 To 2034 age = 15 mis(byear, age, 1) = m2by(byear, age) For age = 16 To 64 z1 = (1 - gamma(age - 1)) * m2by(byear, age - 1) z2 = m2by(byear, age) - z1 If z2 0 Then z2 = 0 z3 = (1 - theta(age)) * z2 z4 = theta(age) * z2 mis(byear, age, 1) = z3 z5 = 0 For car = 1 To 49 z5 = z5 + mos(byear, age - 1, car) Next If z5 = 0 Then z5 = 1 v = z4 / z5 If v 1 Then v = 1 For car = 2 To 49 mis(byear, age, car) = (1 - gamma(age - 1)) * mis(byear, age - 1, car - 1) + v * mos(byear, age - 1, car - 1) Next For car = 1 To 49 mos(byear, age, car) = (gamma(age - 1) - alpha(age - 1) - beta(age)) * mis(byear, age - 1, car) + (1 - alpha(age - 1) - v) * mos(byear, age - 1, car) Next Next z1 = 0 z2 = 0 For car = 25 To 49 z1 = z1 + mis(byear, 64, car) + mos(byear, 64, car) z2 = z2 + car * (mis(byear, 64, car) + mos(byear, 64, car)) Next mnew(byear) = z2 / z1 Next Open "c /eli/gdata/男子平均加入年数1.txt " For Output As #4 For byear = 1990 To 2100 Write #4, byear, mnew(byear) Next Close #4 End Sub
https://w.atwiki.jp/iwannabethewiki/pages/4772.html
製作者 afoth DL先↓ http //www.mediafire.com/file/8zsm11m9g37ovqt/I_wanna_be_the_Metamol.zip