1UP(加命蘑菇) = life(生活) + mushroom (蘑菇)
2.air(空气)
3.airplane(飞机) = bird(鸟) + metal(金属)
4.Albert Einstein(爱因斯坦) = energy(能源) + scientist(科学家)
5.alcohol(酒) = fire(火) + water(水)
6.alcoholic(酒精) = alcohol(酒) + man(人类)
7.algae(藻类) = life(生活) + water(水)
8.alien(外星人) = life(生活) + star(明星)
9.aluminium(铝) = airplane(飞机) + metal(金属)
10.ambulance(救护车) = car(汽车) + hospital(医院)
11.arable(耕地) = earth(土) + tool(工具)
12.arms(武器) = metal(金属) + tool(工具)
13.ash(灰) = air(空气) + earth(土)
14.ashtray(烟灰缸) = ash(灰) + glass(玻璃)
15.assassin(刺客) = man(人类) + poisoned weapon(有毒武器)
16.Australia(澳大利亚) = country(国家) + Kangaroo(袋鼠)
17.avian flu(禽流感) = bird(鸟) + flu(流感)
18.baby(婴儿) = **(性别) + woman(女人)
19.bacon(熏肉) = fire(火) + pig(猪)
20.bacteria(菌) = life(生活) + swamp(沼泽)
21.bar(酒吧) = beer(啤酒) + brick house(砖房)
22.barbecue(烧烤) = fire(火) + meat(肉类)
23.bat(蝙蝠) = bird(鸟) + vampire(吸血鬼)
24.Batman(勤务兵) = bat(蝙蝠) + man(人类)
25.beach(海滩) = sand(沙) + water(水)
26.bear(熊) = beast(兽) + forest(林木)
27.beast(兽) = earth(土) + lizard(蜥蜴)
28.beaver(海狸) = beast(兽) + dam(母兽)
29.bee(蜜蜂) = beetle(甲虫) + flower(花)
30.beer(啤酒) = alcohol(酒) + wheat(小麦)
31.beetle(甲虫) = earth(土) + worm(蠕虫)
32.beetroot(萝卜) = seed(种子) + sugar(糖)
33.Belarus(白俄罗斯) = country(国家) + tractor(拖拉机)
34.berry(浆果) = fruit(水果) + grass(草)
35.bicycle(自行车) = wheel(轮) + wheel(轮)
36.bird(鸟) = air(空气) + egg(鸡蛋)
37.bitumen(沥青) = kerogen(油母页岩) + pressure(压力)
38.blood(血) = dinosaur(恐龙) + man(人类)
39.boat(船) = water(水) + wood(木)
40.boiler(锅炉) = metal(金属) + steam(蒸汽)
41.book(书) = feather(羽毛) + paper(纸)
42.borscht(罗宋汤) = beetroot(萝卜) + fire(火)
43.Bow(弓) = arms(武器) + Robin Hood(罗宾逊)
44.bread(面包) = dough(生面团) + fire(火)
45.brick(砖) = clay(粘土) + fire(火)
46.brick house(砖房) = brick(砖) + concrete(混凝土)
47.butterfly(蝴蝶) = air(空气) + worm(蠕虫)
48.cactus(仙人掌) = desert(沙漠) + tree(树)
49.camel(骆驼) = beast(兽) + desert(沙漠)
50.cancer(癌症) = cigarette(香烟) + man(人)
51.car(汽车) = cart(车) + combustion engine(内燃机)
52.caramel(焦糖) = fire(火) + sugar(糖)
53.carbon dioxide(二氧化碳) = man(人类) + oxygen(氧)
54.carmine(深红色) = cochineal(胭脂虫) + fire(火)
55.cart(车) = wheel(轮) + wood(木)
56.cat(猫) = hunter(猎人) + mouse(老鼠)
57.Catdog(猫狗兽) = cat(猫) + dog(狗)
58.caviar(鱼子酱) = egg(鸡蛋) + fish(鱼)
59.cement(水泥) = clay(粘土) + limestone(石灰石)
60.cemetery(墓地) = grave(坟墓) + grave(坟墓)
61.ceramics(陶瓷) = clay(粘土) + man(人类)
62.champagne(香槟) = carbon dioxide(二氧化碳) + wine(葡萄酒)
63.chariot(双轮战车) = cart(车) + warrior(战士)
64.cheese(奶酪) = milk(牛奶) + mold(模型)
65.chicken(鸡) = egg(鸡蛋) + life(生活)
66.China(中国) = country(国家) + dragon(龙)
67.chocolate(巧克力) = cocoa(可可豆) + sugar(糖)
68.christmas tree(圣诞树) = light bulb(白炽灯) + tree(树)
69.cigarettes(香烟) = paper(纸) + tobacco(烟草)
70.city(城市) = skyscraper(摩天楼) + skyscraper(摩天楼)
71.clay(粘土) = sand(沙) + swamp(沼泽)
72.cock(钟表) = time(时间) + tool(工具)
73.cloth(布) = tool(工具) + wool(羊毛)
74.clothing(服装) = cloth(布) + man(人类)
75.cloud(云) = air(空气) + steam(蒸汽)
76.coal(煤) = fire(火) + wood(木)
77.Coca-Cola(可口可乐) = carmine(深红色) + soda water(苏打水)
78.cochineal(胭脂虫) = beetle(甲虫) + cactus(仙人掌)
79.cocoa(可可豆) = Mexico(墨西哥) + seed(种子)
80.coffin(灵柩) = corpse(尸体) + wood(木)
81.coin(硬币) = metal(金属) + money(钱)
82.combustion engine(内燃机) = gasoline(汽油) + steam-engine(蒸汽引擎)
83.concrete(混凝土) = cement(水泥) + water(水)
84.continent(大洲) = country(国家) + country(国家)
85.corpse(尸体) = fire(火) + man(人类)
86.country(国家) = city(城市) + city(城市)
87.crop circles(麦田怪圈) = UFO(不明飞行物) + arable(耕地)
88.dam(水坝) = brick(砖) + water(水)
89.desert(沙漠) = sand(沙) + sand(沙)
90.diamond(钻石) = tool(工具) + uncut diamond(未切割钻石)
91.diet(节食) = man(人类) + yogurt(酸奶)
92.dilemma(进退两难) = chicken(鸡) + egg(鸡蛋)
93.dinosaur(恐龙) = earth(土) + egg(鸡蛋)
94.doctor(医生) = hospital(医院) + scientist(科学家)
95.dog(狗) = man(人) + wolf(狼)
96.dough(生面团) = flour(面粉) + water(水)
97.Dr.Zoidberg(佐艾伯格医生) = alien(外星人) + doctor(医生)
98.dragon(龙) = dinosaur(恐龙) + fire(火)
99.dust(尘土) = air(空气) + earth(土)
100.E-book(电子书) = book(书) + microchip(集成电路)
101.earth(土)
102.ectoplasm(外质) = energy(能源) + ghost(幽灵)
103.egg(鸡蛋) = life(生活) + stone(石)
104.Egypt(埃及) = cat(猫) + country(国家)/ country(国家)+mummy(木乃伊)
105.electric eel(电鳗) = electricity(电) + snake(蛇)
106.electric ray(电鳐) = electricity(电) + fish(鱼)
107.electricity(电) = energy(能源) + metal(金属)
108.elephant(大象) = earth(能源) + whale(鲸鱼)/beast(兽)+India(印度 )
109.energy(能源) = air(空气) + fire(火)
110.ent(走路的树) = life(生活) + tree(树)
111.explosion(爆炸) = gunpowder(火药) + fire(火)
112.faberge egg(彩蛋) = diamond(钻石) + egg(蛋)
113.farmer(农夫) = man(人类) + seed(种子)
114.fat(脂肪) = man(人类) + pig(猪)
115.feather(羽毛) = bird(鸟) + hunter(猎人)
116.fern(蕨类) = moss(苔) + swamp(沼泽)
117.Finland(芬兰) = country(国家) + Sauna(桑拿)
118.fire(火)
119.fire elemental(火元素) = fire(火) + life(生活)
120.firearms(枪械) = arms(武器) + gunpowder(火药)
121.firefighter(消防员) = fire(火) + hero(英雄)
122.firefly(萤火虫) = beetle(甲虫) + light(光)
123.fish(鱼) = snake(蛇) + water(水)
124.fisherman(渔夫) = fish(鱼) + hunter(猎人)
125.flour(面粉) = stone(石头) + wheat(小麦)
126.flower(花) = seed(种子) + water(水)
127.flu(流感) = air(空气) + bacteria(菌)
128.fondue(干酪) = cheese(奶酪) + fire(火)
129.forest(森林) = grove(小树林) + grove(小树林)
130.fossil(化石) = dinosaur(恐龙) + earth(土)
131.France(法国) = champagne(香槟) + country(国家)
132.frankenstein(法兰肯斯坦) = corpse(尸体) + electricity(电)
133.fried chicken(烧鸡) = chicken(鸡) + fire(火)
134.frog(青蛙) = lizard(蜥蜴) + swamp(沼泽)
135.fruit(水果) = flower(花) + tree(树)
136.fugu(河豚) = fish(鱼) + poison(毒药)
137.gasoline(汽油) = petroleum(石油) + pressure(压力)
138.genie(妖怪) = ghost(幽灵) + lamp(灯)
139.Germany(德国) = country(国家) + VW beetle(甲壳虫汽车)
140.geyser(喷泉) = earth(土) + steam(蒸汽)
141.ghost(幽灵) = ash(灰) + life(生活)
142.Ghostbusters(驱鬼者) = ghost(鬼) + hunter(猎人)
143.glass(玻璃) = fire(火) + sand(沙)
144.gold(金) = Philosopher's stone(点金石) + metal(金属)
145.golem(魔像) = clay(粘土) + life(生活)
146.grape(葡萄) = earth(土) + wood(木)
147.grass(草) = earth(土) + moss(苔)
148.grave(坟墓) = coffin(灵柩) + earth(土)
149.grove(小树林) = tree(树) + tree(树)
150.gunpowder(火药) = dust(尘土) + fire(火)
151.hen coop(鸡舍) = chicken(鸡) + hut(棚屋)
152.hero(英雄) = dragon(龙) + warrior(战士)
153.honey(蜂蜜) = bee(蜜蜂) + sugar(糖)
154.hospital(医院) = brick house(砖房) + sick(呕吐物)
155.hot chocolate(热巧克力) = chocolate(巧克力) + fire(火)
156.hourglass(沙漏) = glass(玻璃) + sand(沙)
157.House M.D.(豪斯医生) = man(人类) + vicodin(维柯丁)
158.hunter(猎人) = arms(武器) + man(人类)
159.hut(棚屋) = man(人类) + stone(石)
160.hydrogen(氢) = electricity(电) + water(水)
161.ice(冰) = glass(玻璃) + water(水)
162.Iceland(冰岛) = country(国家) + ice(冰)/country(国家)+volcano(火山)
163.idea(计划)=light bulb(白炽灯)+man(人类)
164.India(印度) = country(国家) + Kama Sutra(卡马经)
165.iodine(碘) = algae(藻类) + fire(火)
166.island(海岛) = sea(海) + volcano(火山)
167.Italy(意大利) = country(国家) + pizza(比萨)
168.Japan(日本) = country(国家) + sushi(寿司)
169.jedi(绝地武士) = lightsaber(激光剑) + warrior(战士)
170.juice(果汁) = fruit(水果) + pressure(压力)
171.Kama Sutra(卡马经) = book(书) + **(性别)
172.kangaroo(袋鼠) = 1UP(加命蘑菇) + frog(青蛙)/ beast(兽)+ frog(青蛙)
173.kerogen(油母页岩) = fossil(化石) + pressure(压力)
174.Kilt(苏格兰短裙) = clothing(服装) + Scotland(苏格兰)
175.knife(小刀) = meat(肉类) + tool(工具)
176.lamp(灯) = fire(火) + glass(玻璃)
177.Lance Armstrong(阿姆斯特朗) = bicycle(自行车) + cancer(癌症)
178.lava(岩浆) = earth(土) + fire(火)
179.lava golem(熔岩魔像) = lava(岩浆) + life(生活)
180.lava lamp(熔岩灯) = lamp(灯) + lava(岩浆)
181.lawn mower(割草机) = grass(草) + tool(工具)
182.leech(水蛭) = blood(血) + worm(蠕虫)
183.library(图书馆) = book(书) + book(书)
184.lichen(青苔) = algae(藻类) + mushroom(蘑菇)
185.life(生活) = energy(能源) + swamp(沼泽)
186.light(光) = electricity(电) + light bulb(白炽灯)
187.light bulb(白炽灯) = electricity(电) + glass(玻璃)
188.lighthouse(灯塔) = light(光) + skyscraper(摩天楼)
189.lightning rod(避雷针) = metal(金属) + thunderstorm(大雷雨)
190.lightsaber(激光剑) = arms(武器) + light(光)
191.lime(石灰) = limestone(石灰石) + fire(火)
192.limestone(石灰石) = shells(贝壳) + stone(石)
193.livestock(牲畜) = beast(兽) + man(人类)
194.lizard(蜥蜴) = egg(鸡蛋) + swamp(沼泽)
195.lobster(龙虾) = scorpion(蝎) + water(水)
196.locomotive(机车) = cart(车) + steam-engine(蒸汽引擎)
197.man(人类) = golem(魔像) + life(生活)
198.manure(肥料) = grass(草) + livestock(牲畜)
199.Mario(马里奥) = 1UP(加命蘑菇) + man(人类)
200.McDonald's(麦当劳) = Coca-Cola(可口可乐) + sandwich(三明治)
201.meat(肉类) = bird(鸟) + hunter(猎人)
202.Mentos(曼妥思) = Coca-Cola(可口可乐) + geyser(喷泉)
203.mermaid(美人鱼) = fish(鱼) + woman(女人)
204.metal(金属) = fire(火) + stone(石)
205.metal golem(金属魔像) = life(生活) + metal(金属)
206.Mexico(墨西哥) = country(国家) + tequila(龙舌兰酒)
207.microchip(集成电路) = transistor(晶体管) + transistor(晶体管)
208.milk(牛奶) = livestock(牲畜) + man(人类)
209.mirror(镜子) = aluminium(铝) + glass(玻璃)
210.mite(小蜘蛛) = dust(尘土) + life(生活)
211.mold(模型) = mud(泥土) + mushroom(蘑菇)
212.molotov cocktail(燃烧弹) = alcohol(酒) + fire(火)
213.money(钱) = gold(金) + paper(纸)
214.moon(月亮) = cheese(奶酪) + sky(天空)
215.moss(苔) = algae(藻类) + swamp(沼泽)
216.motorboat(汽艇) = combustion engine(内燃机) + boat(船)
217.motorcycle(摩托车) = combustion engine(内燃机) + bicycle(自行车)
218.mouse(老鼠) = cheese(奶酪) + beast(兽)
219.mud(泥土) = dust(尘土) + water(水)
220.mummy(木乃伊) = cloth(衣服) + corpse(尸体)
221.museum(博物馆) = brick house(砖房) + fossil(化石)
222.mushroom(蘑菇) = algae(藻类) + earth(土)
223.music(音乐) = idea(计划) + sound(声音)
224.obesity(肥胖) = man(人类) + McDonald's(麦当劳)
225.old man(老人) = man(人类) + time(时间)
226.omelette(煎蛋卷) = egg(鸡蛋) + fire(火)
227.oxygen(氧) = electricity(电) + water(水)
228.oxyhydrogen(氢氧混合气) = hydrogen(氢) + oxygen(氧)
229.ozone(臭氧) = air(空气) + electricity(电)
230.panda(熊猫) = beast(兽) + tree(树)
231.paper(纸) = reed(芦苇) + tool(工具)
232.pearl(珍珠) = sand(沙) + shells(贝壳)
233.peat(泥炭) = swamp(沼泽) + tree(树)
234.penguin(企鹅) = bird(鸟) + ice(冰)
235.penicillin(盘尼西林) = mold(模型) + scientist(科学家)
236.perfume(香水) = alcohol(酒精) + flower(花)
237.petri dish(培养皿) = bacteria(菌) + glass(玻璃)
238.petroleum(石油) = bitumen(沥青) + pressure(压力)
239.philosopher’s stone(点金石) = philosophy(哲学) + stone(石)
240.philosophy(哲学) = dilemma(进退两难) + scientist(科学家)
241.phoenix(凤凰) = bird(鸟) + fire(火)
242.pig(猪) = livestock(牲畜) + mud(泥土)
243.piggy bank(存钱罐) = coin(硬币) + pig(猪)
244.pillow(枕头) = cloth(布) + feather(羽毛)
245.pinocchio(匹诺曹) = life(生活) + wood(木)
246.pizza(比萨) = dough(生面团) + cheese(奶酪)
247.planet(行星) = continent(大洲) + continent(大洲)
248.plankton(浮游生物) = bacteria(菌) + water(水)
249.plesiosauria(蛇颈龙) = dinosaur(恐龙) + water(水)
250.poison(毒药) = mushroom(蘑菇) + tool(工具)
251.poisoned weapons(有毒武器) = arms(武器) + poison(毒药)
252.pressure(压力) = earth(土) + earth(土)
253.prisoner(囚犯) = assassin(刺客) + time(时间)
254.pterodactyl(翼手龙) = air(空气) + dinosaur(恐龙)
255.quark(cheese)(夸克奶酪) = fire(火) + soured milk(牛奶变酸)
256.Quetzalcoatl(羽蛇神) = feather(羽毛) + snake(蛇)
257.R2-D2(R2机器人) = robot(机器人) + Star Wars(星球大战)
258.rainbow(彩虹) = light(光) + steam(蒸汽)
259.reed(芦苇) = grass(草) + swamp(沼泽)
260.Robin Hood(罗宾逊) = forest(森林) + hero(英雄)
261.robot(机器人) = electricity(电) + metal golem(金属魔像)
262.Romania(罗马尼亚) = country(国家) + Transylvania(特兰西瓦尼亚)
263.ruby(红宝石) = blood(血) + diamond(钻石)
264.Russia(俄罗斯) = country(国家) + vodka(伏特加酒)
265.rust(铁锈) = metal(金属) + water(水)
266.sailboat(帆船) = boat(船) + cloth(布)
267.sailing ship(大帆船) = cloth(布) + wooden ship(木船)
268.sailor(水手) = boat(船) + man(人类)
269.sa**nder(蝾螈) = fire(火) + lizard(蜥蜴)
270.salo(萨洛) = man(人类) + pig(猪)
271.slat(盐) = fire(火) + sea(海)
272.saltpeter(硝) = limestone(石灰石) + manure(肥料)
273.sand(沙) = stone(石) + water(水)
274.sand storm(沙暴) = sand(沙) + storm(风暴)
275.sandwich(三明治) = bread(面包) + meat(肉类)
276.Santa Claus(圣诞老人) = christmas tree(圣诞树) + old man(老男人)
277.Saudi Arabia(沙特阿拉伯) = country(国家) + petroleum(石油)
278.sauna(桑拿) = hut(棚屋) + steam(蒸汽)
279.scarab(圣甲虫) = beetle(甲虫) + manure(肥料)
280.scientist(科学家) = library(图书馆) + man(人类)
281.scissors(剪刀) = knife(小刀) + knife(小刀)
282.scorpion(蝎) = beetle(甲虫) + sand(沙)
283.scotch whisky(苏格兰威士忌) = alcohol(酒) + peat(泥炭)
284.Scotland(苏格兰) = country(国家) + scotch whisky(苏格兰威士忌)
285.sea(海) = water(水) + water(水)
286.seed(种子) = life(生活) + sand(沙)
287.**(性别) = man(人类) + woman(女人)
288.** and the city(**都市) = city(城市) + **(性别)
289.shells(贝壳) = plankton(浮游生物) + stone(石)
290.sick(呕吐物) = flu(流感) + man(人类)
291.silicon(硅) = pressure(压力) + sand(沙)
292.silk(丝绸) = China(中国) + cloth(布)
293.silver(银) = metal(金属) + moon(月亮)
294.sith(西斯) = assasin(刺客) + jedi(绝地武士)
295.sky(天空) = air(空气) + cloud(云)
296.skyscraper(摩天楼) = brick house(砖房) + glass(玻璃)
297.smoke(烟) = fire(火) + cigarette(香烟)
298.snail(蜗牛) = shells(贝壳) + worm(蠕虫)
299.snake(蛇) = sand(沙) + worm(蠕虫)
300.sniper(狙击手) = assassin(刺客) + firearms(枪械)
301.soap(肥皂) = ash(灰) + fat(脂肪)
302.soda water(苏打水) = carbon dioxide(二氧化碳) + water(水)
303.soldier(士兵) = firearms(枪械) + man(人类)
304.sound(声音) = metal(金属) + wind(风)
305.soured milk(牛奶变酸) = milk(牛奶) + yogurt(酸奶)
306.spinning wheel(手纺车) = wheel(轮) + wool(羊毛)
307.stake(树桩) = knife(小刀) + wood(木)
308.star(星) = scientist(科学家) + Sun(太阳)
309.Star Wars(星球大战) = jedi(绝地战士) + sith(西斯)
310.statue(雕像) = stone(石) + tool(工具)
311.Statue of liberty(自由女神像) = statue(雕像) + USA(美国)
312.steam(蒸汽) = air(空气) + water(水)
313.steam-engine(蒸汽引擎) = boiler(锅炉) + coal(煤)
314.steamer(汽船) = steam-engine(蒸汽引擎) + wooden ship(木船)
315.stone(石) = lava(岩浆) + water(水)
316.storm(风暴) = air(空气) + energy(能源)
317.sugar(糖) = lime(石灰) + reed(芦苇)
318.sulfur(硫) = bacteria(菌) + swamp(沼泽)
319.Sun(太阳) = chariot(双轮战车) + sky(天空)
320.sunflower(向日葵) = flower(花) + Sun(太阳)
321.sushi(寿司) = algae(藻类) + fish(鱼)
322.swamp(沼泽) = earth(土) + water(水)
323.sweater(毛衣) = tool(工具) + yarn(纱线)
324.swine flu(猪流感) = flu(流感) + pig(猪)
325.swiss army knife(瑞士军刀) = knife(小刀) + soldier(士兵)
326.Switzerland(瑞士) = clock(钟表) + country(国家)
327.team(团队) = beast(兽) + cart(车)
328.tequila(龙舌兰酒) = alcohol(酒) + worm(蠕虫)
329.The Beatles(甲壳虫乐队) = beetle(甲壳虫) + beetle(甲壳虫)
330.thunderbird(雷鸟) = bird(鸟) + storm(风暴)
331.thunderstorm(大雷雨) = electricity(电) + storm(风暴)
332.time(时间) = hourglass(沙漏) + life(生活)
333.toast(吐司) = bread(面包) + fire(火)
334.tobacco(烟草) = fire(火) + grass(草)
335.tool(工具) = man(人类) + metal(金属)
336.Totoro(龙猫) = forest(林木) + ghost(幽灵)
337.tractor(拖拉机) = arable(耕地) + lawn mower(割草机)
338.Transformers(变形金刚) = car(汽车) + life(生活)
339.transistor(晶体管) = metal(金属) + silicon(硅)
340.Transylvania(特兰西瓦尼亚) = country(国家) + vampire(吸血鬼)
341.tree(树) = earth(土) + seed(种子)
342.turtle(龟) = egg(鸡蛋) + sand(沙)
343.Twilight Saga(暮光之城) = werewolf(狼人) + vampire(吸血鬼)
344.typhoon(台风) = storm(风暴) + water(水)
345.UFO(不明飞行物) = airplane(飞机) + alien(外星人)
346.Ukraine(乌克兰) = country(国家) + salo(萨洛)
347.uncut diamond(未切割钻石) = coal(煤) + pressure(压力)
348.undead(不死族) = corpse(尸体) + zombie(僵尸)
349.United Kingdom(英国) = country(国家) + The Beetles(甲壳虫乐队)
350.USA(美国) = country(国家) + McDonald's(麦当劳)
351.vampire(吸血鬼) = blood(血) + man(人类)
352.Venice(威尼斯) = city(城市) + water(水)
353.Vicodin(维柯丁) = doctor(医生) + sick(呕吐物)
354.vinegar(醋) = alcohol(酒) + oxygen(氧)
355.vodka(伏特加酒) = alcohol(酒) + water(水)
356.volcano(火山) = lava(岩浆) + pressure(压力)
357.vulture(秃鹫) = bird(鸟) + corpse(尸体)
358.VW Beetle(甲壳虫汽车) = beetle(甲虫) + car(汽车)
359.warrior(战士) = arms(武器) + hunter(猎人)
360.water(水)
361.weevil(象鼻虫) = beetle(甲虫) + flour(面粉)
362.werewolf(狼人) = beast(兽) + vampire(吸血鬼)
363.whale(鲸鱼) = beast(兽) + water(水)
364.wheat(小麦) = arable(耕地) + seed(种子)
365.wheel(轮) = tool(工具) + wood(木)
366.whey(乳水) = fire(火) + soured milk(牛奶变酸)
367.wind(风) = air(空气) + air(空气)
368.wine(葡萄酒) = alcohol(酒) + grape(葡萄)
369.wolf(狼) = werewolf(狼人) + moon(月亮)
370.woman(女人) = diamond(钻石) + flower(花)
371.wood(木) = tool(工具) + tree(树)
372.wooden ship(木船) = wood(木) + boat(船)
373.wool(羊毛) = beast(兽) + hunter(猎人)
374.worm(蠕虫) = earth(土) + plankton(浮游生物)
375.yarn(纱线) = spinning wheel(手纺车) + wool(羊毛)
376.Yoda(尤达) = Jedi(绝地战士) + swamp(沼泽)
377.yogurt(酸奶) = bacteria(菌) + milk(牛奶)
378.Yoshi(超级玛丽中的恐龙名) = 1UP(加命蘑菇) + dinosaur(恐龙)
379.zombie(僵尸) = corpse(尸体) + life(生活)
380.zoo(动物园) = beast(兽) + museum(博物馆)。
以上就是小小炼金术2组合以及合成表的全部内容啦。
Trains run on rails .
火车在轨道上行驶。
They were placed by a derrick mounted on rails on the bridge deck .
它们由轨道上的转臂吊机吊放在桥面上。
If you ve written off ruby on rails because you
如果您放弃了ruby on rails ,因为您
Man , this baby must corner pke it ' s on rails
老兄,这宝贝转弯时像是有轨道!
Report of the bills mittee on rail merger bill
两铁合并条例草案委员会报告
Electrical and electronic control apparatus on rail vehicles
铁道车辆上电气和电子控制装置
These prices are for ( free on rail ) prices
此为for (车上交货)价格。
First , this is not an article about ruby on rails
首先,这不是一篇关于ruby on rails的文章。
Electronic equipment used on rail vehicles
铁路车辆用电子设备
Bills mittee on rail merger bill
两铁合并条例草案委员会
It's difficult to see on rail in a sentence. 用 on rail 造句挺难的
Standard for electrical and electronic control apparatus on rail vehicles
轨道车辆的电气和电子控制器具标准
Trains run on rails
火车在轨道上行驶
In may 1999 , we launched another reefer - on rail from chengdu to shanghai
1999年5月又推出了成都到上海的冷冻集装箱专列火车服务。
By far , the easiest way to use active record is through ruby on rails
目前为止,使用活动记录最简单的方式还是通过ruby on rails 。
The ruby on rails solution for deapng with changes to a production database
正是ruby on rails处理对生产数据库进行修改的解决方案。
He first explores active record , the persistence engine behind ruby on rails
他首先研究活动记录,这是ruby on rails背后的持久性引擎。
We have firsthand descriptions of biological weapons factories on wheels and on rails
目击者描述说,他们看到过建立在汽车和火车上的生物武器工厂。
In ruby , it provides the explosive power behind the growth of the ruby on rails framework
在ruby on rails框架成长的背后, ruby提供了爆炸性的力量。
Ruby on rails is effective for web - based user interfaces on a big relational database
对于大型关系数据库上的基于web的用户界面, ruby on rails是有效的。
Ruby on rails is a relatively new web apppcation framework built on the ruby language
Ruby on rails是一个相对较新的web应用程序框架,构建在ruby语言之上。
Brake block holders and brake block keys for posite brake blocks on rail vehicles technical specifications
有轨车辆的复合制动装置的制动块夹持器和制动块键.技
Read the article titled " rolpng with ruby on rails " for more on this claim see
(请阅读“ rolpng with ruby on rails ”一文,以获得关于这一声明的更多内容;请参阅
The number of plaints and suggestions on rail services decreased from 92 in the previous quarter to 68 in this quarter
涉及铁路服务的投诉及建议由上季的92宗降至今季的68宗。
The number of plaints and suggestions on rail services increased from 88 in the previous quarter to 100 in this quarter
涉及铁路服务的投诉及建议由上季的88宗增至今季的100宗。
In december 1998 , we launched our reefer - on rail service from xian to qingdao , the first of its kind in china
1998年12月,我们推出了从西安到青岛的中国首列冷冻集装箱专列火车服务。
Ruby on rails is a web apppcation framework that aims to provide an easy path to apppcation development
Ruby on rails是一个web应用程序框架,它的目标是为应用程序开发提供一条易行道。
Then , we ll explore frameworks pke ruby on rails that provide excellent productivity for certain types of problems
然后,我们将探讨为特定类型的问题提供极好的生产率的框架,比如ruby on rails 。
Functioning of and interfaces among propulsion , friction brake , and train - borne master control on rail rapid transit vehicles
在推动装置,摩擦闸和铁路快速运输车辆的火车上主控装置之间的接口和功能
For and fot mean : " free on rail " and " free on truck " . these terms are synonymous , since the word " truck " relates to the railway wagons
For和fot系指铁路交货,两者是同义的,因“敞车”系指铁路敞车。
Functioning of and interfaces among propulsion , friction brake and train - borne master control on rail rapid transit vehicles
在推进装置摩擦闸和轨道快速运输车辆上的车载主控装置之间的接口和具备的功能
It's difficult to see on rail in a sentence. 用 on rail 造句挺难的
You need only look across the street at those vociferous ruby on rails gurus to know why that platform is so exciting
只要看看马路对面那些喧嚷的ruby on rails老手们就会知道这种平台是多么的令人激动。
Ruby on rails is just one facet of what makes ruby great , just pke ejb is only part of the java enterprise platform
Ruby on rails只是使ruby非常强大的方面之一,就像ejb只是java企业平台的一部分一样。
But kind the that situation appear getting less in chance , so can have chosen not relying mainly on rail transportation i on and off duty
但之种情况出现的机会比较少,所以我上下班还是会选择以轨道交通为主。
Cases related to taxi services decreased from 4 , 785 in 2002 to 4 , 670 in 2003 . plaints and suggestions on rail services decreased from 329 in 2002 to 280 in 2003
涉及铁路服务的投诉及建议由二二年的329宗减至二三年的280宗。
On rail security , still cited by lawmakers as the most vulnerable part of the transportation system , $ 13 . 2 milpon goes for inspectors and explosive detection
在铁路安全上,仍然被作为交通系统最脆弱的一个部分, 132亿美元用于调查人员和爆破物侦测。
Dimension of low - voltage switchgear and controlgear - standardized mounting on rails for mechanical support of electrical devices in switchgear and controlgear installations
低压开关设备和控制设备的尺寸在成套开关设备和控制设备中作电器机械支承的标准安装轨
In fact , the framework s proponents claim that ruby on rails developers can be up to ten times more productive than they would be when using traditional j2ee frameworks
实际上,框架的支持者们声称ruby on rails开发人员的生产率最多是使用传统j2ee框架的10倍。
On rail security , still cited by lawmakers as the most vulnerable part of the transportation system , $ 13 . 2 milpon goes for inspectors and explosive detection
铁路安全方面,仍是立法者认为运输体系中最薄弱环节, 1320万将用于加派监测员人手和加强爆炸物的探测。
Dimensions of low - voltage switchgear and controlgear . standardized mounting on rails for mechanical support of electrical devices in switchgear and controlgear installations
低压开关设备和控制设备的尺寸.开关设备和控制设备中电气器件的机械支承用轨道上的标准化安装
Dimensions of low - voltage switchgear and controlgear - standardized mounting on rails for mechanical support of electrical devices in switchgear and controlgear installations
低压开关设备和控制设备尺寸.开关设备和控制设备中电气器件的机械支承件在轨道上的标准化安装
Dimensions of low voltage schwitchgear and controlgear - standardized mounting on rails for mechanical support of electrical devices in schwitchgear and controlgear installations
低压开关设备和控制装置尺寸.开关设备和控制装置中电气设备的机械支架用护栏的标准化安装
On rail security , still cited by lawmakers as the most vulnerable part of the transportation system , $ 13 . 2 milpon goes for inspectors and explosive detection
而铁路安全方面,依然被立法者称为运输体系中最易受攻击的部分,将有一千三百二十万用于加派巡视员和对爆炸物的检测。
On rail security , still cited by lawmakers as the most vulnerable part of the transportation system , $ 13 . 2 milpon goes for inspectors and explosive detection
铁路安全方面,依然是立法者口中的“交通体系中最脆弱”的一部分,为此,将有1320万用于加派巡察员和对爆炸物的检测。
A third source , also in a position to know , reported in summer 2002 that iraq had manufactured mobile production systems mounted on road trailer units and on rail cars
还有一位消息人士于2002年夏天报告,伊拉克已经制造出安装于公路拖车和火车车厢上的可移动生物制剂生产系统。
On rail security , still cited by lawmakers as the most vulnerable part of the transportation system , 13 . 2 milpon dollars goes for inspectors and explosive detection
在铁路安全方面,立法者将其称为交通运输最易受攻击的部分, 1320万美圆将用于增设检查人员及对易爆物品的检查。
Dimensions of low - voltage switchgear and controlgear - standardized mounting on rails for mechanical support of electrical devices in switchgear and controlgear installations amendment 1
低压开关设备和控制设备的尺寸.开关设备和控制设备中电气器件的机械支承用轨道上的标准化安装.修改件1
In this article , the first in a series that aims to demonstrate these ideas , you ll look at active record , the persistence architecture at the heart of ruby on rails
在演示这些理念的系列的第一篇文章,也就是这篇文章中,将讨论活动记录( active record ) ,它是位于ruby on rails核心的持久性框架。
But we didn t di *** iss the idea of developing in another language and began to build our apppcation in ruby on rails , a web apppcation framework built on the ruby language
但是,我们没有放弃用另一种语言进行开发的想法,开始用ruby on rails构建我们的应用程序,这是一个在ruby语言上构建的web应用程序框架。
Cases related to taxi services increased from 1 , 142 in the previous quarter to 1 , 285 in this quarter and the number of plaints and suggestions on rail services increased from 68 in the previous quarter to 88 this quarter
涉及的士服务的个案则由上季的1142宗增至今季的1285宗。涉及铁路服务的投诉及建议由上季的68宗增至今季的88宗。
While ruby on rails is a very new and exciting framework that has generated considerable interest in the web development munity , the core architecture follows the basic patterns found in j2ee
虽然ruby on rails是一个非常新、令人兴奋的框架,并且在web社区中已经引起了人们相当的兴趣,但是它的核心架构仍然遵循在j2ee中发现的基本模式。
It's difficult to see on rail in a sentence. 用 on rail 造句挺难的
名字 使用频率% 使用者 排名MARY 2.629 3,991,060 1
PATRICIA 1.073 1,628,911 2
LINDA 1.035 1,571,224 3
BARBARA 0.98 1,487,729 4
ELIZABETH 0.937 1,422,451 5
JENNIFER 0.932 1,414,861 6
MARIA 0.828 1,256,979 7
SUSAN 0.794 1,205,364 8
MARGARET 0.768 1,165,894 9
DOROTHY 0.727 1,103,652 10
LISA 0.704 1,068,736 11
NANCY 0.669 1,015,603 12
KAREN 0.667 1,012,567 13
BETTY 0.666 1,011,048 14
HELEN 0.663 1,006,494 15
SANDRA 0.629 954,879 16
DONNA 0.583 885,047 17
CAROL 0.565 857,721 18
RUTH 0.562 853,167 19
SHARON 0.522 792,443 20
MICHELLE 0.519 787,889 21
LAURA 0.51 774,226 22
SARAH 0.508 771,190 23
KIMBERLY 0.504 765,118 24
DEBORAH 0.494 749,937 25
JESSICA 0.49 743,864 26
SHIRLEY 0.482 731,720 27
CYNTHIA 0.469 711,985 28
ANGELA 0.468 710,466 29
MELISSA 0.462 701,358 30
BRENDA 0.455 690,731 31
AMY 0.451 684,659 32
ANNA 0.44 667,960 33
REBECCA 0.43 652,779 34
VIRGINIA 0.43 652,779 35
KATHLEEN 0.424 643,670 36
PAMELA 0.416 631,526 37
MARTHA 0.412 625,453 38
DEBRA 0.408 619,381 39
AMANDA 0.404 613,309 40
STEPHANIE 0.4 607,236 41
CAROLYN 0.385 584,465 42
CHRISTINE 0.382 579,911 43
MARIE 0.379 575,356 44
JANET 0.379 575,356 45
CATHERINE 0.373 566,248 46
FRANCES 0.37 561,694 47
ANN 0.364 552,585 48
JOYCE 0.364 552,585 49
DIANE 0.359 544,995 50
ALICE 0.357 541,958 51
JULIE 0.348 528,296 52
HEATHER 0.337 511,597 53
TERESA 0.336 510,078 54
DORIS 0.335 508,560 55
GLORIA 0.335 508,560 56
EVELYN 0.322 488,825 57
JEAN 0.315 478,199 58
CHERYL 0.315 478,199 59
MILDRED 0.313 475,162 60
KATHERINE 0.313 475,162 61
JOAN 0.306 464,536 62
ASHLEY 0.303 459,981 63
JUDITH 0.297 450,873 64
ROSE 0.296 449,355 65
JANICE 0.285 432,656 66
KELLY 0.283 429,620 67
NICOLE 0.281 426,583 68
JUDY 0.276 418,993 69
CHRISTINA 0.275 417,475 70
KATHY 0.272 412,921 71
THERESA 0.271 411,403 72
BEVERLY 0.267 405,330 73
DENISE 0.264 400,776 74
TAMMY 0.259 393,185 75
IRENE 0.252 382,559 76
JANE 0.25 379,523 77
LORI 0.248 376,486 78
RACHEL 0.242 367,378 79
MARILYN 0.241 365,860 80
ANDREA 0.236 358,269 81
KATHRYN 0.234 355,233 82
LOUISE 0.229 347,643 83
SARA 0.229 347,643 84
ANNE 0.228 346,125 85
JACQUELINE 0.228 346,125 86
WANDA 0.226 343,089 87
BONNIE 0.223 338,534 88
JULIA 0.223 338,534 89
RUBY 0.221 335,498 90
LOIS 0.22 333,980 91
TINA 0.22 333,980 92
PHYLLIS 0.219 332,462 93
NORMA 0.218 330,944 94
PAULA 0.217 329,426 95
DIANA 0.216 327,908 96
ANNIE 0.216 327,908 97
LILLIAN 0.211 320,317 98
EMILY 0.208 315,763 99
ROBIN 0.208 315,763 100
PEGGY 0.208 315,763 101
CRYSTAL 0.207 314,245 102
GLADYS 0.205 311,209 103
RITA 0.204 309,691 104
DAWN 0.202 306,654 105
CONNIE 0.2 303,618 106
FLORENCE 0.2 303,618 107
TRACY 0.197 299,064 108
EDNA 0.197 299,064 109
TIFFANY 0.195 296,028 110
CARMEN 0.195 296,028 111
ROSA 0.194 294,510 112
CINDY 0.192 291,473 113
GRACE 0.189 286,919 114
WENDY 0.185 280,847 115
VICTORIA 0.18 273,256 116
EDITH 0.179 271,738 117
KIM 0.178 270,220 118
SHERRY 0.178 270,220 119
SYLVIA 0.177 268,702 120
JOSEPHINE 0.177 268,702 121
THELMA 0.175 265,666 122
SHANNON 0.175 265,666 123
SHEILA 0.175 265,666 124
ETHEL 0.174 264,148 125
ELLEN 0.173 262,630 126
ELAINE 0.173 262,630 127
MARJORIE 0.173 262,630 128
CARRIE 0.171 259,594 129
CHARLOTTE 0.169 256,557 130
MONICA 0.166 252,003 131
ESTHER 0.166 252,003 132
PAULINE 0.165 250,485 133
EMMA 0.165 250,485 134
JUANITA 0.164 248,967 135
ANITA 0.162 245,931 136
RHONDA 0.162 245,931 137
HAZEL 0.161 244,413 138
AMBER 0.16 242,895 139
EVA 0.159 241,376 140
DEBBIE 0.157 238,340 141
APRIL 0.154 233,786 142
LESLIE 0.154 233,786 143
CLARA 0.153 232,268 144
LUCILLE 0.153 232,268 145
JAMIE 0.153 232,268 146
JOANNE 0.15 227,714 147
ELEANOR 0.15 227,714 148
VALERIE 0.149 226,196 149
DANIELLE 0.149 226,196 150
MEGAN 0.147 223,159 151
ALICIA 0.146 221,641 152
SUZANNE 0.145 220,123 153
MICHELE 0.145 220,123 154
GAIL 0.145 220,123 155
BERTHA 0.143 217,087 156
DARLENE 0.142 215,569 157
VERONICA 0.142 215,569 158
JILL 0.142 215,569 159
ERIN 0.141 214,051 160
GERALDINE 0.141 214,051 161
LAUREN 0.137 207,978 162
CATHY 0.137 207,978 163
JOANN 0.136 206,460 164
LORRAINE 0.135 204,942 165
LYNN 0.135 204,942 166
SALLY 0.135 204,942 167
REGINA 0.133 201,906 168
ERICA 0.13 197,352 169
BEATRICE 0.13 197,352 170
DOLORES 0.129 195,834 171
BERNICE 0.128 194,316 172
AUDREY 0.127 192,798 173
YVONNE 0.126 191,279 174
ANNETTE 0.125 189,761 175
JUNE 0.125 189,761 176
SAMANTHA 0.124 188,243 177
MARION 0.122 185,207 178
DANA 0.122 185,207 179
STACY 0.121 183,689 180
ANA 0.12 182,171 181
RENEE 0.12 182,171 182
IDA 0.118 179,135 183
VIVIAN 0.118 179,135 184
ROBERTA 0.117 177,617 185
HOLLY 0.117 177,617 186
BRITTANY 0.117 177,617 187
MELANIE 0.116 176,099 188
LORETTA 0.115 174,580 189
YOLANDA 0.115 174,580 190
JEANETTE 0.115 174,580 191
LAURIE 0.114 173,062 192
KATIE 0.113 171,544 193
KRISTEN 0.111 168,508 194
VANESSA 0.111 168,508 195
ALMA 0.111 168,508 196
SUE 0.111 168,508 197
ELSIE 0.11 166,990 198
BETH 0.11 166,990 199
JEANNE 0.109 165,472 200