sách 16 phương pháp và kĩ thuật giải nhanh

...  Sách dành tặng học sinh phổ thông  16 Phương pháp và kĩ thuật giải nhanh hóa học  Các công thức giải nhanh trắc nghiệm hóa học 48 48 Giải : Các phản ứng ... có: nO2-(oxit) = 0,3(mol)560,2 .162 056mmn0,2(mol)n21oxioxitFe(trongX)Cl=−=−=⇒=− 3 3 PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HÓA HỌC ... thể nói phương pháp tăng giảm khối lượng và bảo toàn khối lượng là 2 anh em sinh đôi. Tuy nhiên, tùy từng bài tập mà phương pháp này hay phương pháp kia sẽ là ưu việt hơn. - Phương pháp tăng...

... I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn khối lợng 4 Phơng pháp 2: Phơng pháp Bảo toàn nguyên tố 16 Phơng pháp 3: Phơng pháp ... Phơng pháp 4: Phơng pháp Bảo toàn điện tích 40 Phơng pháp 5: Phơng pháp Bảo toàn electron 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: ... đại lợng thích hợp 160 Phơng pháp 16: Phơng pháp chọn đại lợng thích hợp 170 Phơng pháp 16+ : Phơng pháp sử dụng công thøc kinh nghiÖm 178 PHẦN II: CÁC CÔNG THỨC GIẢI NHANH TRẮC NGHIỆM HÓA...

...  Sách dành tặng học sinh phổ thông  16 Phương pháp và kĩ thuật giải nhanh hóa học  Các công thức giải nhanh trắc nghiệm hóa học 22 22 IV. ... nguyên tố - Viết phương trình hóa học ở dạng ion thu gọn 2 2 MỤC LỤC PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn ... 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: Phơng pháp đờng chéo 89 Phơng pháp 9: Phơng pháp hệ số 105 Phơng pháp 10: Phơng pháp sử dụng...

... 53,1 gam Giải: 5+N + 3e →2+N(NO) 0,9← 0,3(mol) 2 2 MỤC LỤC PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn ... 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: Phơng pháp đờng chéo 89 Phơng pháp 9: Phơng pháp hệ số 105 Phơng pháp 10: Phơng pháp sử dụng ... Phơng pháp mối quan hệ giữa các đại lợng 150 Phơng pháp 15: Phơng pháp chọn đại lợng thích hợp 160 Phơng pháp 16: Phơng pháp chọn đại lợng thích hợp 170 Phơng pháp 16+ : Phơng pháp sử...

... x=tant ta có J1= 4p thay vào thì J= ln 2ln32 4p+ + Nhn xét : Nhiu khi s thành tho ca đng nht thc giúp ta b qua nhanh bc phân tích bng Phng pháp h s bt đnh . chng ... bài toán đin hình minh ho tính u vit cho phng pháp s dng phng pháp bin đi vi phân đa v bng nguyên hàm -Mt trong nhng phng pháp c bn nht đ tính tích phân lng giác đó là ... Nhn xét chung: i bin s dng 1 là mt trong nhng phng pháp rt c bn, hc sinh thng gp trong Các k thi tt nghiêp và thi vào các trng i hc,bi nó có th phát huy ti đa t duy...

... đường quang . Phương pháp 4: thiết lập một hoặc nhiều hơn một đường quang không kết nối trực tiếp từ nguồn s và đích d và định tuyến lưu lượng vào những đường quang này và/ hoặc một vài đường quang ... các dịch vụ và các ứng dụng thời gian thực qua Internet, xác suất nghẽn mạng tăng lên đáng kể nên cần phát triển kĩ thuật thích hợp để hạn chế nghẽn. Kĩ thuật lưu lượng là một giải pháp hiệu ... nối đến. Trong phương pháp này, mỗi nút trong mạng yêu cầu duy trì một bảng định tuyến chứa danh sách các bộ định tuyến cố định tới mỗi nút đích, thí dụ về phương pháp này là thuật toán tìm...

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spX/ubhhx9qfb7Dhw83k3RM1Q3f57nn6pPI63jgxjsrKeV2zzLBp1GJeODGO0/y869EPPTii/39/b6KwClnxBQ4lfKBGLES/8T3h/r5Ob9Tif82yY3rJ3NRpZzK79pR2fK3f7tp06Z169YdPnz4Bz/4wYEDBzZs2BCxsfLwmhM5uhTx+GQ/ilTeGvnap+6589ChUW067qkIaWq2karkSLGnUCgYNwWEKfA6tfeFV+/7+atx2hkRkas5alF9Dc9SisqmO2JHpRy1iPjW/Pn/47zzNtVq5ZENt72YfnLRRT9f9zuT68nyI3n77b/xGy+99KuFCxf+/u///rnnnhsRjz32V1Gczk8kpQdS2lzNKVcvf2bnDUePNm8uR1QiqsXi5c88c+nRo6WIShQrm8pTtfd+jqjk+D+69xcKheNu5gogTIE56P97/MXd8xZFc6y0dhJ76ZdKlfInfvzlDx058pZ8SzkiUmXr0B+3vqYN6nOUzj777De96U2tNx48eDCm/2JJtVLaUUo7YvP/qFSGtmJ9atGiBzZ/YkdE5JxynvIt9ysR6Tv1G27ot0IfOIWcYwqcGv39/UOT+Cd3facB//Cv7xrKtTx4lufWabhs0qA06jzUKZfL5UoMnHh66NAbB192ut5RJeLpp5+e7jcFIEyBjnP/7q7BiDzpS4+OTbqUcsRtixZNW5VOVqPx4tS06UksvZ/sa0X85CdPNBoNX05AmAKvI/V6fWqHS0dLaUpWrJ/om+rv76+Nv3dV8z455xNaAt86bjrdHm6s2bNnj+8ncKo4xxQ4Bb75xLHm/y6ejuHSwZ7bNuXPuXjx4tZfh7aCqtfrP/zhD3fu3Hn/wb6I9luP9vf3f+tb99318EM5UhQvOMH3MkPjvjmiWq26SCkgTIHXi2kfLp0p1eqexx9//HvfywO5md7bJvVy3r59+yOPPPK3u3fnSJHKnfyOcsSOWumSZ58VpoAwBV4XnnylezCDZlWWvnpoxK8pbs9Lbv/cQxEp0jibm6ao5HJlR470jlgyO95ljti7d++5556rTQFhCsxxjUYj7y4MR1DHj5m2TNMfjBxRvrylOyexICnF8a4q2nFhunv3vosvvliYAsIUmOPq9XqO3pgNw6U5529/+zsjpunT6+Lf6OHGmnX797e71CqAMAXmkPt3d8W8HJE6fbg0pa07ci1i4Gqg+ThVmirDbyWXU/MhKeeB/fEjzaKobS6BWrFiha8rIEyBOavRaLwwb1FE6sTh0jwQkENqKaVKjqgM/r08YVzmlmdIEZFyjpzT4I157Lz/mFfsHLVazYamgDAF5rJHDhc6a5w0R8q5JRIjj101P8l8nPA95ZEPL26vlmo7BkZhc0SknDpoSDU3B4jN5gMzzgb7wMz56a5DAwnXGX3aHNSMnAdaLI9/TCdwrMcPzFLeEa09nHPKlc7J9RSRI1WrVd9YQJgCc1O9Xn9i3os5csxM8FQjqtVirka1evxXTMXBVN0+/p3HL8fjN2Vx+KUq26MWUYzqplQtp6gWm8+Qtlfav3S1WszNNzJD/1LNd/Mvzzx78OBBE/rATDKVD8yQJ1/prsWTERG1ybXca6+q5pmdAyd9lqJ5iufEZ4iWItUiR+RapBylwbum4QNNefSM/IkoDR9ec0lVKWqbU0SUckTzKqa1iFrLSzdrtWUkdfCNpEltU3XSvnH0lbfv3t3T01MoFHx7AWEKzCk/3XUoz5vO+fuBE0bbLazKkSLn4/Tc0PmewwGaX8vapNy6Qn/gidu/3HFubDO/33yPaXDh/zSr1+tGTIGZZCofmAn1en26XyLlysDZokONl0Y23XHWJ6V295xk/+URP45/uurgWqt2jx35Uqky6r20ro6amV0N0nPPCVNAmAJz0d/Pe2qac6ql7FLK5XIul4dnvXPbKBz56DS5e06FnE5knX9KuZyGdwyYkSOMiIcbLx45csRXFxCmwJwyauBtOqpqZOoNjCm2vXESaXuCB9h695RyOcWo7Z/SyLsWW35rHZ1N7W5PkU/dVlIHDx6cgdFuAGEKzJw983qnfYgvjQrLPO6Nk+nSPE5TTvi4aG5Z2mzTSTVw++ccOSA6EKwzM0o6qrcPHz7s2wsIU2BO+emuQzNwWmTr+GgajsuRN07UYcNjllNQgW3PJh24sdjmeFK7B4+6ZFRq806n1e7d+5xmCswYq/KBmfDCvEUz8jqp5XKnOeWcI+WU0vAkfo7c9hpLOfKobM1RTa3bRZ3AMcRrOVlheL5+1MKpoZvLKZq7C+SZupBpjkZ6UZgCM8aIKTAzhZNn/iWHNldqibtxhkJzcxV8y2HmiNewo3067jFFRFRLo28ZsXAr54mecTLnCUxd5x89etS3FxCmwByO1Jl69sF58Jwm/fot9yw2972fgkNPg8U5dEupzbO1O5l1xqbsx3ujP5o/38J8QJgCYvQ1FeDo1U5p4A9tFzaNeGCKcsopjVman6bqPQz1cWngMvTtNkwdsRVrGtrB6hQ6ePCgLzAgTAFleuKvUy6PXO00uDZ/7I2jH5gGr/aZRubjiTTxce4zGJq1WqpUWi8QlYcXXUW7G/PA/U9FoVqYD8wYi5+AOdfAm1Kq5mjOw1dzVFOUoloslib78GJxYIT17OavsWlTs1SjNF4Nj8nSFPmOcrsnLxeLuZSfiOrhiObq/GJ1c4pUalO6kSKiuL0aA28np2o1p80z91FWo1qL/Yv7n3vuuXPOOcdXCxCmACeoFFFKUcsREbVIO5rDjO1O3Bw4CXXkOv1SqVYutf762g+j3Y21UqptHly5P2aQNac0MKCbI0UlcooYjOyIvHnzjH6StahFvPxywxIoQJgCvEYjtohqnbhvlmjb3UBzROQ0dL2o6Vt0lKNYzbXSOC/RPNt1sE1HXZj0lFwBqtF40TcKEKbAXEzGmXmZFANjja23RJqwOPPwSZ/TuxY+l3bkUso5ym0PJpfT8LZWueXgy6dmhf7Ro0dtZQoIU4CTqL8UgxvRp8mNgKbBlUfT3H95UsukckqRY/iQkn9SQJgCzFIp5fKJjH2mGD2EOU2ZWk65mqI2mTyNOEVBKoMBYQowxW16wjmWB05D3VBYsGrLRV1dXbVarVarDezUNPknzDm13H14OVPzllJEyT8PgDAFaJ+SUY58882r16+/qbu7e9QfyxGPP/745x56qJKPk6cp5zs2Fdd//IZl5y+M0xcN3d7f379nz5777rvvb3cvOVXXczrhTwRAmALMsJTzZ8dJ0iFr1qzZtmbNn3z/+//uP+a2ZZly/tCGBe/5TPsn6e3t7e3tTSn92/7+v/jP3/4PC1f72AFGceUn4PUtxxeP/tPOT73nqquumqBKh7z1rW/9+kevK4+5dlTK+a/+5LItW9533Cfp7e39f/7d73258HjbC1B11CcDIEyBORyBnSXl/Hebqh/4k5t7e3sn/6i+vr6Pf/yG1qxMOf/1rRvf+ta3TvIZFixYsGXL+/761o3ljq+/FDF//vxCoeDbCwhTQJVOY5VuK6fNmze3ngk6ScuWLfvrWzcObTV6x6bimjVrTvRJ1qxZ85mbbur8odNCYYFvLyBMAaaxSr/+0evSSSxCWrNmzR2bipGjnPLm13ql0O7u7i1b3vfZm1d3bJv29Ow655xuI6aAMAWYFh945n8+8Jmb+vr6TvJ5rr322q9d+9RfvPe9J/k8V1111bf/4r3/15HdUe2Iz6cYMTTA/fLLPaoUEKYA0+U3l3dNZp3TcS1YsODGG2/s6ek5+afq6el551vOjVpHfD6l4S6Nc8751YoVK6bk4wIQpkBHSC4lNDt1dXV1dXX5HICZYR9TgBNQr9e7n3xy4FJOe2vxTDXOK+XlxRTx/NvfMu+CS+bS4GKKWLx4sTAFhCkwp1z96zdW4qlZ/AZePfT0s9Xzv/D1J5/ZPjjNPWK5Uo4UlYiIdP3m529+x5l9l82NUzPtFQUIU2CueVPfovjhbD34p59+7PwvfP2XO7f/csTN7c9OyDu3x87tkVIql2ftGQwDzd3Ts6tYvFKYAjPGOabATFjx6/7ZepZppfLLTe/PO7efYNrlvHVrfPyTjUZjdr3dFCPGgi17AoQpMNfMxlG3V199NW/dmiuVkeGWJhgHTcuXt/4179xeuOmm/v7+WfqvduaZZy5dutS3F5gxpvKBGZJS5Fl1+fXajh2tR9w8eXTxS139K1b07tmTt24d/QbL5Ujp4rOOLH6pHN/Y0RxkzXv3xseuf8OH71r85rfNsn+viPPOO6+rq8ugKSBMgTmlu7t7dk3lNxqN+V/7emuVRsTP3v+hgWT71M60bVtrm6ZyOVIM3ZK2bYtnqjF4zdLFt9/ZX6n09vbOhrc+1OL5rLM2Lly40LcXmDGm8oEZsnHBglnUpoWvfKX21E8HqzPF8uLwaaY59nzsY4 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K5PHT//ve8p3XSP1cqF3zyw8O/7t2752Mf6/zzTVtPMO3p6XExUkCYAnPTkiVLZsuhPv/YP7RWZiqXR51pms4rFR555Ol3vX3g1+s3v+HZp0bsH5XzWWddMOJs1JwLX/nKLPr3OvPMM0ulku8tIEyBOahQKMyW3ZN+9pdfHm7Q6zePPDc2p3I5P1PNlUpPT1+kFJHj3ZsWvzRqF/rc/eSTrUOqEZErlY4fNB14pymiq6urp6fHCaaAMAXmZpj+0VnLi51/oH/zX4ZKtNjdfWjr+6oPPTT812L61RWXRs6R8yu/eCJt2hRRPHDu2QM9l/7Vip07i5tSRETOhxe+YdRzH/j3/75j33frPP4ZZ/xk7dp1ixcv9r0FhCkwN8P0LRecsbmzB03r9Xr+3GeHfq2tWnWksKj2+OPD9ba5fMYr85s/n333vVEqRZTe0FN8/qwjERFpfe+ePbUdA313uHt0mNZyfv6xf+jUdz88MHz++eevXr3q9NMtkAWEKTBHdXd3X/3rN3byEf76lz9p/TWldPToszHypuGfH/lR/4oVEfHSS788s++yiIi9tcHCS5HSGQefH/sSi7/74w58463DpSlyqbRiyZIl5vEBYQrMZW8vvtDJY6Yjq7EaEfPnnzvenfPevW949qmIOP+XLxUKhUhpcOV+iojGunVtGzR3/G6uPT09K1cusx4fEKbAHNfd3d3RS6AGhjybSs0DjpYDfvqCs0aEbHPNU84RkZpv7Bs7Lr77rovvvuvlXT8YfdWoZrQ+88yrr77aUW86Db6FpkWLFi1fvtx3FRCmwNwP03JEx6ZpfqY6qlMLhUJEGprnbj+AunNnRDz/9rdERN65/Wd/+eXFX71vYDf+sS+xd28n/wM15/EXLlxoHh8QpsDct2LFitmy036zU1M5DbT0mFNOm2ue8t69/f39Z/ZdNlDcOQ/vxj873ufwcGlPT8+6dWvM4wPCFHhdaG5oOjvaNOf+/v7Gui1RLjc3JT3j4PPNBU9Ng2eR5t577y0UCimVZ90/Rxrxc77wwguXLl1quBQQpsDrQnd39w1Ll0ZHTuin80Zf66j3819sNBqrbrqp2anNsG5Tdzt3xquHYhLnz6aOO31zxHDp2rVrVSlwqtijDjg1bVpO+ysduDx9zBUA8s7tsXP70Fmmi1/qirOOtYm7vXvTvzw1qZdYd2nn7A86cpeogWVPwhQ4VYyYAqcmTDcuWBCdN2jaXMDURktD1186rf19vrGjvmrV8V4hR2dd/ap1uHTXunXrzj33XN9PQJgCry+lUqlZpR3Vpq+c+9r3/887t3c/+eTxZurTuO0748YOl65atcpwKSBMgded7u7uWzcuiA5r097e3nT95gniMyK6n3xy7I1NAxcmndDiN7+tY97u6OHSJUuW+GYCwhR4PSqVSp24iP3dm8b/24iETsuXx95a640D++2Pesxw6ebm0v5OMOoapM3h0t7eXl9L4BSy+Ak4Zbq7u3/3d8/PP3g616opStWIWkckW+r54C0Hv/Cfmr8Vu7trCxZEbeDQnr/4gpc+ekfz51/9L38Q3WcX5x87eumlZ1x5Ze+Pf/KrNxz9ycj984ubNlUfenDg51R+9Y//uBP+azdFNfLAOypGdeXKlddcc42rPQHCFHhdu+CCCz5+7Nif1SJHLkWqdcZR9f2bD8Qr83OlEimVUipFPP2ut5//d9/NEYt/9sGb4NEAABmfSURBVMufNS9Aunz582+5ePFLXbUdn4odO9Ly5U9/6c97evrS9ZuHdtdPy5fH0dNyvd7s3dIX7owOWI+fIoaqNCIu6fnVhg3XrF27dsGCBb6QwKllKh84xbq7u29efTgiInLnnGza2LKl+MaFKaXYuTNXKr+84y/73/OedVu25MrWgXtcf/3ir95XX7Wqudop7917/t99t9FoND72fw7P3V9/fTNS0/LlKz71qTh9UWdUaW75Nff19V188cXWPAGdwIgpcOrDdO3atemJs3POkVouS39KFQqFozf9b3nnp9L15bS3FsuLsWdPRKTytvjGjlhezLkSOdK7N/VXKuneeyMi55x27oyPfaz+kVvTuzdFRK5UmvX3/Idv65jTN0d8uqVSKaWkSoEO0WY3vmPHjvlcgBn2+OOP/68PPRQ5mhdPmtY2/XLh8S1b3nfcu7366qv/8sEPRs6RUnrmmbx3b0Sk5cvzeeeNGHQcc0ukiEgxOOP/9Jf+/Pzz33zcl3vwwQev/urZ07pDwajh0ut6dl155ZVXXHGFNU/AqcnQ00aHqKl8oCOUSqXPrl4dg+XUCXP6p59+etq2LZXLkXPe+43mjXnv3hEN2u6WyIPv4vrNja99bTJVOgPGTuJfeOGFl1xyiSoFOocwBTrCwIR+M0hzJ12rtFxesXNnuv4Tg8k5yQxMF999V/zZHYVCoVPeyIgqjVKpdPnll/f19fnuAcIUYLTe3t5bN24catOO2nU//uyOi+++K5W3Hb9Ir9+ctm1b9/nPd9JG+qNHoHt6dl122WUrVqzwrQM6isVPQAcplUo3r16d44nIEZFTpM4ZO1385rfFm9+26qabfv3Lnyz+7o9j78i9rZYXI6X6qlXR3R0RhU76VMeeWtrX17d+/XqT+IAwBRhXc0L/Q7v33RUvRo5IndWmzSOM7rfFOKOhHbi4feyppYsWrdy4ceOyZct834BOYyof6Cy9vb2//dtXDU7oR0dtbjrrjK3SUqm0YcOGUqnkwwE6kBFToOMsW7bs1o0bPxcP5RzTMW768MMPVat7Ou1dHzp0KOK901elEdHT03PZZZetXbvWxqVAZ7KPKdChcs6VnAfKKkV02Jx+hxtbpc1dS9evX28SH+iUDB2zj6kwBTpUo9HYvXv3t7/9yP/74wO1iChGRLFaKtWm6gWqUcw5ohiRa5s3T+M7qUZExExNnhcjStVq1IY/p74zDr558UtXX31tSuuNlQLCFOA1qtfrDz744I4dtZYzJadu6DRHyjmnNL0b+ldyipxTeQYuG1CMKI0cKE2RL7300muuuWbNmjW+ToAwBTgp/f39//iP/zgtbZqbcTr9wTh8QsL0SiPHSq/r2XXhhReqUkCYAkxvm8ZxL8SUc8qRU0RKzcHRiBgeHx28pe2No4ZRU85DL5ZTRIxz/5ybyZzLadRLtD5ncXsu1YYeMvbAcmp9rUl389j9SptVWiqVzOADsyJMrcoHZoHe3t4rrrgi4h9jqE1zjhQTr9Zv1mRqNt9QtKXB/8t5KOOG7zPmbsM35qGnbSZnGqzP4funPHBgEc0UrkSO4YSNnKMcKUo5R23sgaWISJU8/IQ5Uo5Ig5l7IlWaIl944aWqFJhd7GMKzKY2vfnm1cONliMiF4//0DTq/4/84/COqRPdbfDOeVs5hmpy4gHb5h1S5FQeOMF0eAC1OPpFW97RwAuVy8PHlo/z9lLkUVXaPK9UlQLCFGC62nT9+vU337x689DS/BylanWyU915zO9pcPv+fNzTAloeNrnXS+P+0nI8OU9wkIPz+BOtzUpjEvm6nl0ppXe+851r1qxRpcDsYiofmE26u7vXr19/9tlnV4e2OK3VolSbcE4/p8qYLG0dXkx58lU6ML0+NhAH6nDST5Saj5owc1OaOILHblZ65Rk/efObL//t377KZqWAMAWYiTZdtWrVrQsWfOfod370o/mDNZjTREv1c/uOTAOncjZvycddZpRzaj0DNY164hPaKmDgfID2Y6kpUmV4FHfsVlNjkzQiUuRLLkmqFBCmADPapt3d3V1dXWed9Q/Vh1+sDVXjOBeIyqkckdPYefNIkWMwTvPx93NKzacaDssRrZtSyidwTkBOKY1zDkFqtuk4B9W2Sq/r2bVo0crf+q3fUqWAMAWYaX19fQsXLoz41l0PNwZbb7D3hnJveGhz1JR9HojDfILDnGm8yowxA6jHf7LIKdoeQI4op7HnBowzUBo9Pbv6+vo2btx40UUX+WIAs5fFT8As1tvbu3HjxlsuPToiF3Nu3Qq0/eL3wW7NA9P5J7b+aTKGl1WNv6y+zckDqc2vqd3S+8G/556eXVdeeeUNN9ywZs2aQqHgWwHMXkZMgdntoosu2rx587JlP4zW7ffb9uiYPzX3tM/Duzjlwcn9qTC05f7Q2aJpqERrEbWB8dfhcdYcqblNQI6c09YcrTtjtTuq5vT9O97xjhUrVvT29voyALOdKz8Bc0Gj0Thw4MBjjz32ox/tz7XaCy8srEVEVCNKERHFYtQGNg/NzVuahn6sttxSHfPXGOfGyTy2GsVaNSJqxdLolyu1f+ZitVqqRRRrUWvzTotRPfOMM9f2vLx69eo1a9asXLmyp6fHFwCYlRnqkqTA3Fav16vV6ve+l3fvfqpaLbZfWDTh9aJOoYER0nFOe02Re3p6Fi1atGHDhosvvri5Asy/OCBMATpaf3//nj17cs4TXZ6pdY1URyTpuMc6lKTr1q275JJLzj33XEkKCFOAWZanjz766KOPPvqjH82fqEFPUaEOnkE60fb+rUm6atUqlxgFhCnALLZv376f/exnTzzxRK1Waz+5PyIVpz1SJ56vHy9JlyxZYnkTIEwB5oLm5P4jjzw+7rmnbdqw2FyRdJKd2rIB1KSufdpM0gsvvHDt2rXLly83cQ8IU4A5qF6vP/vss3v37n300Ud/8YtfHDzYdwLRmcZ05kTyCfVs8xzT5hBpqbRi3bo1S5cutbwJEKbCFJj7eVqv1/fv31+tVvft2/fMM89Mdgx1qo3q0ZUrly1fvnzhwoWFQkGSAsJUmAKv00Kt1Wq1Wu3ll18+sWHU19ij1Z6eX5155pldXV3NHl26dOmSJUv0KCBMhSmgUOv1ev3w4cP79++v1+u1Wu3AgQOHDh2aqkhtTv/39OyKiDPPPHPJkt4LL1xeKpV6enqMjwLCVJgCtMnTiGg0Go1G48iRI/v37//pT3c1Gi8ePXr0+eefb3bqZJ6nGaBNzWHRxYsXz58/v1gsdnd3L1269Oyzz3b+KIAwBZisRqNRr9cbjUZEHDly5ODBg4cPH67X6889V2/WattHzZ8/v1BYEBHnnNPdzNCurq6urq5CodAcGa3X65IUQJgCnKyhVG2W69g7FAqFof8UoADCFACA2Rem83woAAB0AmEKAIAwBQAAYQoAgDAFAABhCgCAMAUAAGEKAIAwBQAAYQoAgDAFAABhCgCAMAUAAGEKAIAwBQAAYQoAgDAFAABhCgCAMAUAAGEKAIAwBQAAYQoAgDAFAABhCgCAMAUAAGEKAIAwBQAAYQoAgDAFAABhCgCAMAUAAGEKAIAwBQAAYQoAAMIUAABhCgAAwhQAAGEKAADCFAAAYQoAAMIUAABhCgAAwhQAAGEKAADCFAAAYQoAAMIUAABhCgAAwhQAAGEKAADCFAAAYQoAAMIUAABhCgAAwhQAAGEKAADCFAAAYQoAAMIUAABhCgAAwhQAAGEKAADCFAAAYQoAAMIUAABhCgAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMfAQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAADCFAAAhCkAAMIUAACEKQAAwhQAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAACEKQAACFMAAIQpAAAIUwAAhCkAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAACFMAABCmAAAIUwAAEKYAAAhTAAAQpgAAIEwBABCmAAAgTAEAEKYAACBMAQAQpgAAIEwBABCmAAAgTAEAEKYAACBMAQAQpgAAIEwBABCmAAAgTAEAEKYAACBMAQAQpgAAIEwBABCmAAAgTAEAEKYAACBMAQAQpgAAIEwBABCmAAAgTAEAEKYAACBMAQAQpgAAIEwBABCmAAAgTAEAQJgCACBMAQBAmAIAIEwBAECYAgAgTAEAQJgCACBMAQBAmAIAIEwBAECYAgAgTAEAQJgCACBMAQBAmAIAIEwBAECYAgAgTAEAQJgCACBMAQBAmAIAIEwBAECYAgAgTAEAQJgCACBMAQBAmAIAIEwBAECYAgAgTAEAQJgCACBMAQBAmAIAgDAFAECYAgCAMAUAQJgCAIAwBQBAmAIAgDAFAECYAgCAMAUAQJgCAIAwBQBAmAIAgDAFAECYAgCAMAUAQ...

... được và ra rễ mới, lá mới là t có thể đánh giá được kết quả ra cây bừng cách tính tỉ lệ số % số cây sống. - Khi các cây đã tạo rễ và có bộ lá hoàn chỉnh được dưa ra ngoài đất.IV. Phương pháp ... triển của mẫu vật.2.Nhân nhanh và tạo cum chồi- Sau 4 tuần môi trường cấy gây,các chồi được cắt bỏ những đoạn chết chuyển sang môi trường nhân nhanh. Môi trường nhân nhanh thường có nồng độ ... đến 24/04/2011.1. Mục đích – mục tiêu thực tập - Các kỹ thuật cơ bản về nuôi cấy mô và tế bào thực vật. - Kỹ thuật nhân nhanh cây ngưu tất trong ống nghiệm2. Nội dung và kỹ năng...

... vùng trồng cacao ở Việt Nam (như Tây Nguyên, đống bằng sông Cửu Long,…)- Tiếp tục áp dụng kỹ thuật microsatellite để lập hồ sơ kiểu gene cho các giống trong tập đoàn cacao của Đại Học Nông ... truyền xa nhau lai với nhau (như lai quần thể BR với quần thể QH hoặc BAL) để tăng ưu thế lai. Và ngược lại, không nên chọn lai những giống thuộc các quần thể có quan hệ di truyền gần nhau (như...

... phẩmhàng hoá và dịch vụ có chất lợng cao, đáp ứng kịp thời nhu cầu của thị trờng và xà hội thông qua mối quan hệ cung, cầu, giá cả hàng hoá và dịch vụ thích hợpđể phát triển và mở rộng thị ... chức sản xuất, công nghệ và sản phẩm của công ty để có thể nắm tạo ra và nắm bắt lấy cơ hội chiếm lĩnhthị trờng tiêu thụ.45Chơng baMột số biện pháp nhằm duy trì và mở rộng thị tr-ờng tiêu ... ổn định và đang có xu hớng đi lên. Doanh thu và lợi nhuận của công ty tăng đều qua cácnăm. Nghĩa vụ nộp ngân sách nhà nớc đợc công ty thực hiện rất tốt thể hiệnqua chỉ tiêu nộp ngân sách khá...

... vững các kĩ thuật làm việc cơ bản. Thành công của nhóm còn phụ thuộc vào việc đề ra các yêu cầu công việc một cách rõ ràng và phù hợp. 4. Kĩ thuật tia chớp Kĩ thuật tia chớp là một kĩ thuật ... nhiệm vụ cần giải quyết trong nhóm mà có những phương pháp làm việc khác nhau được sử dụng. GIỚI THIỆU MỘT SỐ PHƯƠNG PHÁP VÀ KĨ THUẬT DẠY HỌC TÍCH CỰC TRONG DẠY HỌC MÔN ĐỊA LÍ 8. Giải quyết ... đồng và biết vận dụng kiến thức, kĩ năng của môn Địa lí để giải quyết những vấn đề đặt ra trong cuộc sống. 5. Kĩ thuật “3 lần 3” Kĩ thuật “3 lần 3“ là một kĩ thuật lấy thông tin phản hồi nhằm...

... điểm.- Người cao điểm nhất là người thắng cuộc và được nhận điểm 10. II. ARN được tổng hợp theo những nguyên tắc nào?1/ Xác định không gian và thời gian xảy ra quá trình tổng hợp ARN?2/ ... đôi? II. ARN được tổng hợp theo những nguyên tắc nào?1/ Một phân tử ARN được tổng hợp dựa vào một mạch hay hai mạch đơn của gen?2/ Các loại nucleotit nào liên kết với nhau để tạo cặp trong ... gen?Vậy, quá trình tổng hợp ARN diễn ra theo những nguyên tắc nào?Bản chất của mối quan hệ gen và ARN được thể hiện như thế nào? Luật chơi:- Gồm 4 người chơi. (Đại diện cho 4 nhóm)- Ô...