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Indonesian

apa artinya what is the goal of communication

English

ok got it

Last Update: 2015-06-30
Subject: General
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Indonesian

apa artinya what is your language

English

What does the word i will promise heart

Last Update: 2014-11-07
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Indonesian

what does it mean what is the meaning of this lines

English

apa artinya what is meaning of this lines

Last Update: 2014-05-12
Subject: General
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Indonesian

What is the hot news in school

English

the-evacuated-to-people-place-victim-save-have-the

Last Update: 2014-09-16
Subject: General
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Indonesian

It is perhaps the most influential motorcycle movement the world has ever seen. Born in the streets of England in the 1950s, its culture still thrives around the globe. There will never be another motorcycle—or rider—quite like it. And yet, most of us have never heard of the café racer. The café racer is both man and machine. With its Spartan appearance and aggressive styling, the café racer is one of the most distinctive and revered motorcycles in the world. Their impact on the motorcycle industry includes legendary high-performance motorcycles like Triumph’s Bonneville, Honda’s CB-750, and Kawasaki’s Z-1. Without the original café racers tuning and designing their ordinary street bikes for power and handling, manufacturers may never have designed the modern sportbike. The café racer movement may have been born in London in the 1950s, but it has developed into a subculture encompassing a desire for speed, a love of rock and roll, and ultimately an enduring love for a motorcycle that’s being revived worldwide. The human side of the café racer was a perfect match for this type of motorcycle. The riders of these machines were young, and they wanted to go fast. The goal of many of the café racers during the 50s was the ability to hit a hundred miles an hour, better known as “the ton.” Author and journalist Mike Seate has been following the café racer for two decades. discovery-hd-theater-cafe-racer-caferacer-tv-vintage-motorcycles-ace-cafe-london-rockers-59club-norton-triumph-triton-honda-historic-phot-16“The term café racer came from what’s actually a derisive term used to describe kids who hung out in cafés and raced fast. They would hang out in transport cafés and wait until somebody else came by on a fast bike and challenged them for a race, and they all rushed outside to see who gets up the road the fastest. When they get back to the cafés, which were often occupied by long distance truck drivers, the truck drivers would laugh and say, ‘You’re not a real racer, you’re not Barry Sheen, you’re just a café racer! And the kids thought, ‘Well you’re damn right I’m a café racer!’ So they would race to the next café, and then to the next one as fast as they could, and the name stuck; they embraced it despite the fact that it was a derisive term,” he said. One of the birthplaces of the café racer was London’s Ace Café. The Ace was one of many cafés that provided a gathering place for teenagers and their motorcycles in the 1950s and 60s. Many, like the Busy Bee and Café Rising Sun have succumbed to the wrecking ball, while others, such as Jack’s Hill and Squires Coffee Bar have survived, hosting annual Ton-Up reunions each year. Avid motorcyclist Mark Wilsmore, who reopened the Ace Café to its former glory in 1994, says that rock and roll helped spark the subculture known as “ The Café Racing.” discovery-hd-theater-cafe-racer-caferacer-tv-vintage-motorcycles-ace-cafe-london-rockers-59club-norton-triumph-triton-honda-historic-photos-“These kids over here, they have been the generation—rock and roll generation—they went out and bought the fastest vehicle they could afford, which over here was a motorbike. In the States, that was a car, and you had your hot rod culture come directly out of Elvis Presley and that lot, but over here, we had a similar sort of thing, but all based around motorbikes because of our different income levels. And the other great attraction of cafés, and I suspect diners in the states at that time, was the jukebox. And certainly in this country, when rock and roll first came around in the mid-50s you could only hear rock and roll on the jukebox. There was no radio stations playing it, no clubs playing it, so this new music of youngsters mixed with having their own vehicles and their own identity, um, along comes this Ton-Up boy and his bike, the café racer, it was invariably—the racing would be from one café to another,” he said. The hunger to make their ordinary streetbikes go faster and resemble the machines ridden by British racing heroes like Mike Hailwood and Geoff Duke was all part of the café racer’s character. Doing the “Ton,” or hitting a hundred miles-an-hour, became a badge of honor—weather you made it back…or not. Riders from those days say attempts at reaching the “Ton” on your average 650cc parallel twin were dodgy affairs at best. Riders could consider themselves very, very lucky to reach it as their engines had to be tuned well, but even the best engines could out-perform the skinny, bias-ply tires and meager drum brakes of mid-century design. Road surfaces were not what they are today, with everything from poor road lighting to axle grease from cars and trucks making each corner a potential deathtrap. Trial and plenty of error was the order of the day and the Rockers, experimenting with countless performance modifications, came to create motorcycles that are still respected by go-fast aficionados. Brave? Crazy? Brilliant visionaries? Addicted to kicks? The Rockers were, and are, all of the above, which is why the Café Racer culture still lives not only in the streets on London, but across the globe. Enthusiasts of all ages are once again building custom high-performance motorcycles out of their garages, machines that continue the tradition of the café racer. Join us for Discovery HD Theater’s “Café Racer TV” as we explore this rich history and the quest to “Do The Ton.

English

story

Last Update: 2016-02-25
Subject: General
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Indonesian

10 easy ways to fail a Ph.D. [article index] [email me] [@mattmight] [+mattmight] [rss] The attrition rate in Ph.D. school is high. Anywhere from a third to half will fail. In fact, there's a disturbing consistency to grad school failure. I'm supervising a lot of new grad students this semester, so for their sake, I'm cataloging the common reasons for failure. Read on for the top ten reasons students fail out of Ph.D. school. Focus on grades or coursework No one cares about grades in grad school. There's a simple formula for the optimal GPA in grad school: Optimal GPA = Minimum Required GPA + ε Anything higher implies time that could have been spent on research was wasted on classes. Advisors might even raise an eyebrow at a 4.0 During the first two years, students need to find an advisor, pick a research area, read a lot of papers and try small, exploratory research projects. Spending too much time on coursework distracts from these objectives. Learn too much Some students go to Ph.D. school because they want to learn. Let there be no mistake: Ph.D. school involves a lot of learning. But, it requires focused learning directed toward an eventual thesis. Taking (or sitting in on) non-required classes outside one's focus is almost always a waste of time, and it's always unnecessary. By the end of the third year, a typical Ph.D. student needs to have read about 50 to 150 papers to defend the novelty of a proposed thesis. Of course, some students go too far with the related work search, reading so much about their intended area of research that they never start that research. Advisors will lose patience with "eternal" students that aren't focused on the goal--making a small but significant contribution to human knowledge. In the interest of personal disclosure, I suffered from the "want to learn everything" bug when I got to Ph.D. school. I took classes all over campus for my first two years: Arabic, linguistics, economics, physics, math and even philosophy. In computer science, I took lots of classes in areas that had nothing to do with my research. The price of all this "enlightenment" was an extra year on my Ph.D. I only got away with this detour because while I was doing all that, I was a TA, which meant I wasn't wasting my advisor's grant funding. Expect perfection Perfectionism is a tragic affliction in academia, since it tends to hit the brightest the hardest. Perfection cannot be attained. It is approached in the limit. Students that polish a research paper well past the point of diminishing returns, expecting to hit perfection, will never stop polishing. Students that can't begin to write until they have the perfect structure of the paper mapped out will never get started. For students with problems starting on a paper or dissertation, my advice is that writing a paper should be an iterative process: start with an outline and some rough notes; take a pass over the paper and improve it a little; rinse; repeat. When the paper changes little with each pass, it's at diminishing returns. One or two more passes over the paper are all it needs at that point. "Good enough" is better than "perfect." Procrastinate Chronic perfectionists also tend to be procrastinators. So do eternal students with a drive to learn instead of research. Ph.D. school seems to be a magnet for every kind of procrastinator. Unfortunately, it is also a sieve that weeds out the unproductive. Procrastinators should check out my tips for boosting productivity. Go rogue too soon/too late The advisor-advisee dynamic needs to shift over the course of a degree. Early on, the advisor should be hands on, doling out specific topics and helping to craft early papers. Toward the end, the student should know more than the advisor about her topic. Once the inversion happens, she needs to "go rogue" and start choosing the topics to investigate and initiating the paper write-ups. She needs to do so even if her advisor is insisting she do something else. The trick is getting the timing right. Going rogue before the student knows how to choose good topics and write well will end in wasted paper submissions and a grumpy advisor. On the other hand, continuing to act only when ordered to act past a certain point will strain an advisor that expects to start seeing a "return" on an investment of time and hard-won grant money. Advisors expect near-terminal Ph.D. students to be proto-professors with intimate knowledge of the challenges in their field. They should be capable of selecting and attacking research problems of appropriate size and scope. Treat Ph.D. school like school or work Ph.D. school is neither school nor work. Ph.D. school is a monastic experience. And, a jealous hobby. Solving problems and writing up papers well enough to pass peer review demands contemplative labor on days, nights and weekends. Reading through all of the related work takes biblical levels of devotion. Ph.D. school even comes with built-in vows of poverty and obedience. The end brings an ecclesiastical robe and a clerical hood. Students that treat Ph.D. school like a 9-5 endeavor are the ones that take 7+ years to finish, or end up ABD. Ignore the committee Some Ph.D. students forget that a committee has to sign off on their Ph.D. It's important for students to maintain contact with committee members in the latter years of a Ph.D. They need to know what a student is doing. It's also easy to forget advice from a committee member since they're not an everyday presence like an advisor. Committee members, however, rarely forget the advice they give. It doesn't usually happen, but I've seen a shouting match between a committee member and a defender where they disagreed over the metrics used for evaluation of an experiment. This committee member warned the student at his proposal about his choice of metrics. He ignored that warning. He was lucky: it added only one more semester to his Ph.D. Another student I knew in grad school was told not to defend, based on the draft of his dissertation. He overruled his committee's advice, and failed his defense. He was told to scrap his entire dissertaton and start over. It took him over ten years to finish his Ph.D. Aim too low Some students look at the weakest student to get a Ph.D. in their department and aim for that. This attitude guarantees that no professorship will be waiting for them. And, it all but promises failure. The weakest Ph.D. to escape was probably repeatedly unlucky with research topics, and had to settle for a contingency plan. Aiming low leaves no room for uncertainty. And, research is always uncertain. Aim too high A Ph.D. seems like a major undertaking from the perspective of the student. It is. But, it is not the final undertaking. It's the start of a scientific career. A Ph.D. does not have to cure cancer or enable cold fusion. At best a handful of chemists remember what Einstein's Ph.D. was in. Einstein's Ph.D. dissertation was a principled calculation meant to estimate Avogadro's number. He got it wrong. By a factor of 3. He still got a Ph.D. A Ph.D. is a small but significant contribution to human knowledge. Impact is something students should aim for over a lifetime of research. Making a big impact with a Ph.D. is about as likely as hitting a bullseye the very first time you've fired a gun. Once you know how to shoot, you can keep shooting until you hit it. Plus, with a Ph.D., you get a lifetime supply of ammo. Some advisors can give you a list of potential research topics. If they can, pick the topic that's easiest to do but which still retains your interest. It does not matter at all what you get your Ph.D. in. All that matters is that you get one. It's the training that counts--not the topic. Miss the real milestones Most schools require coursework, qualifiers, thesis proposal, thesis defense and dissertation. These are the requirements on paper. In practice, the real milestones are three good publications connected by a (perhaps loosely) unified theme. Coursework and qualifiers are meant to undo admissions mistakes. A student that has published by the time she takes her qualifiers is not a mistake. Once a student has two good publications, if she convinces her committee that she can extrapolate a third, she has a thesis proposal. Once a student has three publications, she has defended, with reasonable confidence, that she can repeatedly conduct research of sufficient quality to meet the standards of peer review. If she draws a unifying theme, she has a thesis, and if she staples her publications together, she has a dissertation. I fantasize about buying an industrial-grade stapler capable of punching through three journal papers and calling it The Dissertator. Of course, three publications is nowhere near enough to get a professorship--even at a crappy school. But, it's about enough to get a Ph.D. Related posts • Recommended reading for grad students. • The illustrated guide to a Ph.D. • How to get into grad school. • Advice for thesis proposals. • Productivity tips for academics. • Academic job hunt advice. • Successful Ph.D. students: Perseverance, tenacity and cogency. • The CRAPL: An open source license for academics. 3 qualities of successful Ph.D. students: Perseverance, tenacity and cogency [article index] [email me] [@mattmight] [+mattmight] [rss] Every fall, a fresh crop of Ph.D. students arrives. Since I'm actively looking for Ph.D. students, I get the same question a dozen times every year: "How long does it take to get a Ph.D.?" This isn't the right question. "Ph.D. school takes as long as you want it to," I tell them. There's no speed limit on how fast you can jump through all the hoops. A better question to ask is, "What makes a Ph.D. student successful?" Having watched Ph.D. students succeed and fail at four universities, I infer that success in graduate school hinges on three qualities: perseverance, tenacity and cogency. If you're in Ph.D. school or you're thinking about it, read on. What doesn't matter There's a ruinous misconception that a Ph.D. must be smart. This can't be true. A smart person would know better than to get a Ph.D. "Smart" qualities like brilliance and quick-thinking are irrelevant in Ph.D. school. Students that have made it through so far on brilliance and quick-thinking alone wash out of Ph.D. programs with nagging predictability. Let there be no doubt: brilliance and quick-thinking are valuable in other pursuits. But, they're neither sufficient nor necessary in science. Certainly, being smart helps. But, it won't get the job done. Moreover, as anyone going through Ph.D. school can tell you: people of less than first-class intelligence make it across the finish line and leave, Ph.D. in hand. As my advisor used to tell me, "Whenever I felt depressed in grad school--when I worried I wasn't going to finish my Ph.D.--I looked at the people dumber than me finishing theirs, and I would think to myself, if that idiot can get a Ph.D., dammit, so can I." Since becoming a professor, I finding myself repeating a corollary of this observation, but I replace "getting a Ph.D." with "obtaining grant funding." Update: Within a month of writing that last line, I was awarded my first three grants. Perseverance To escape with a Ph.D., you must meaningfully extend the boundary of human knowledge. More exactly, you must convince a panel of experts guarding the boundary that you have done so. You can take classes and read papers to figure out where the boundary lies. That's easy. But, when it comes time to actually extend that boundary, you have to get into your bunker and prepare for the onslaught of failure. A lot of Ph.D. students get depressed when they reach the boundary, because there's no longer a test to cram for or a procedure to follow. This is the point (2-3 years in) where attrition peaks. Finding a problem to solve is rarely a problem itself. Every field is brimming with open problems. If finding a problem is hard, you're in the wrong field. The real hard part, of course, is solving an open problem. After all, if someone could tell you how to solve it, it wouldn't be open. To survive this period, you have to be willing to fail from the moment you wake to the moment your head hits the pillow. You must be willing to fail for days on end, for months on end and maybe even for years on end. The skill you accrete during this trauma is the ability to imagine plausible solutions, and to estimate the likelihood that an approach will work. If you persevere to the end of this phase, your mind will intuit solutions to problems in ways that it didn't and couldn't before. You won't know how your mind does this. (I don't know how mine does it.) It just will. As you acquire this skill, you'll be launching fledgling papers at peer reviewers, checking to see if others think what you're doing qualifies as research yet. Since acceptance rates at good venues range between 8% and 25%, most or all of your papers will be rejected. You just have to hope that you'll eventually figure out how to get your work published. If you stick with it long enough and work at it hard enough, you will. For students that excelled as undergraduates, the sudden and constant barrage of rejection and failure is jarring. If you have an ego problem, Ph.D. school will fix it. With a vengeance. (Some egos seem to recover afterward.) This phase of the Ph.D. demands perseverance--in the face of uncertainty, in the face of rejection and in the face of frustration. Tenacity To get a tenure-track professorship after Ph.D. school, you need an additional quality: tenacity. Since there are few tenure-track faculty positions available, there is a fierce (yet civil) competition to get them. In computer science, a competitive faculty candidate will have about 10 publications, and 3-5 of those will be at "selective" or "Tier 1" venues (crudely, less than 33% acceptance rate). A Ph.D. by itself won't even get you a job interview anymore. There are few good reasons to get a Ph.D. "Because you want to become a professor" might be the only good one. Ironically, there's a good chance you won't realize that you want to be a professor until the end of grad school. So, if you're going to do Ph.D. school at all, do it right, for your own sake. To become professor, you can't have just one discovery or solve just one open problem. You have to solve several, and get each solution published. As you exit graduate school, an arc connecting your results should emerge, proving to faculties that your research has a profitable path forward. You will also need to actively, even aggressively, forge relationships with scholars in your field. Researchers in your field need to know who you are and what you're doing. They need to be interested in what you're doing too. None of that is going to happen by itself. Cogency Finally, a good Ph.D. student must have the ability to clearly and forcefully articulate their ideas--in person and in writing. Science is as much an act of persuasion as it is an act of discovery. Once you've made a discovery, you have to persuade experts that you've made a legitimate, meaningful contribution. This is harder to do than it seems. Simply showing experts "the data" isn't going to work. (Yes, in a perfect world, this would be sufficient.) Instead, you have to spoon-feed the experts. As you write, you have to consciously minimize the amount of time and cognitive pain it takes for them to realize you've made a discovery. You may have to go "on tour" and give engaging presentations to get people excited about your research. When you give conference talks, you want them eagerly awaiting the next episode. You will have to write compelling abstracts and introductions that hook the reader and make her feel like investing time in your work. You will have to learn how to balance clarity and precision, so that your ideas come across without either ambiguity or stifling formality. Generally, grad students don't arrive with the ability to communicate well. This is a skill that they forge in grad school. The sooner acquired, the better. Unfortunately, the only way to get better at writing is to do a lot of it. 10,000 hours is the magical number folks throw around to become an expert at something. You'll never even get close to 10,000 hours of writing by writing papers. Assuming negligible practice writing for public consumption before graduate school, if you take six years to get through grad school, you can hit 10,000 hours by writing about 5 hours a day. (Toward the end of a Ph.D., it's not uncommon to break 12 hours of writing in a day.) That's why I recommend that new students start a blog. Even if no one else reads it, start one. You don't even have to write about your research. Practicing the act of writing is all that matters. Translations • Portuguese. Related posts • How to get into grad school. • Productivity tips for academics. • Recommended reading for grad students. • Academic job hunt advice.

English

sentence translation english

Last Update: 2015-03-05
Subject: General
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Indonesian

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Disc 2: The Customs Info This disc contains the Song Pack containing 300 custom songs by hundreds of charters. Almost all songs were re-edited to fit the "Guitar Hero III standard". This means all songs were edited to have Star Power, note Sustains were shortened so they don't run into the next note (with a few exceptions), triple picks starting with a HOPO were fixed, and sync is almost perfect for all songs. There may be some songs that are not so perfect, it is hard to maintain 300 songs without missing some things. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Ultimate Expert Song Pack Info: This is the song pack installer. The goal of making it into an installer was to make it independant of GHTCP. There is a bit of work involved in importing and creating setlists, this should help ease things up a bit if you do not care to create your own customs. Before Install: 0.) Make sure patch v1.3 is installed or you'll probably fuck everything up and have to start all over again. 1.) If you already use GHTCP, backup your setlists! This pack will overwrite your current lists and you will have to restore them. 2.) If you do not use GHTCP but plan on using it, go back to Disc 1, install it now, and follow the instructions in the Help document! To Install: 1.) Click "Install Song Pack". It may take some time to load, be patient! 2.) Follow the instructions (basically just hit Next a bunch of times). 3.) The installer will begin installing the contents. This will take a long time, be patient!! If you plan on using GHTCP, follow the instructions in the next section. If not, skip to the Unlocking Setlists section. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Final GHTCP Instructions: There really isn't much to it. The important thing was that you already opened up the program and created a backup before installing the songs. 1.) Open GHTCP, I ACCEPT. 2.) Go to File >> Open Game Settings. 3.) Choose Guitar Hero III (English). 4.) If you have backed up setlists, then you may have to reimport them. If everything went well, all the custom songs should be loaded into the left window. Under the Setlist Configuration tab you should see a dropdown menu titled Setlist: Single Career. Click on the down arrow and you should see SongListA and SongList B. This means everything worked! If things did not go well then on the disc is a folder named GHTCP Data. This provides a clean backup of the game, copy it to the GHTCP installation folder. I am not 100% sure this works but it's worth a try. The setlists are also there if you need to rebuild them (requires Song Pack installed). I am not providing any help with how to use this program. If you want to learn how to use customs there is plenty of information on the web. The reason I have went into it this much was so if you ever decide to use it, there will be no issues when the time comes you try to open game settings. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Unlocking Setlists: This pack comes with 5 Setlists: the original GH3 songs and 4 custom lists. Only 3 lists can be up at any time. There are 3 default Setlists that need unlocked IN-GAME and this is how to unlock each: - Quickplay - Unlocked by default. All songs should be visible instantly. - Bonus - Unlocked with cheats. Enter Options > Cheats and strum the Red and Yellow fret buttons. - Download - Unlocked by default. All songs should be visible instantly. There are also 2 more Setlists that need unlocked in a different way IN-GAME. 1.) From the title screen enter Custom Menu > Setlist Switcher. 2.) Force Quickplay, Bonus, or Download into SongListA or SongListB. 3.) Press the Orange fret button to register the Setlist. Songs should be played with the "Quickplay" option from the main menu. Career modes are not affected by this mod pack. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ World Tour Note Mod Info: Also included is an installer to change the GHIII note textures to those used in Guitar Hero: World Tour and changes the title screen to a much nicer looking one. This can be reversed at any time with the "Restore GHIII Notes" button which links to an installer file that reverts back to default notes. To install: 1.) Click "World Tour Note Mod" and run the installer. To uninstall: 1.) Click "Restore GHIII Notes" and run the installer. It couldn't be simpler! (could it?) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Feedback Chart Editor Info: This is the best editor to create and edit custom charts. There are plenty of tutorials on the web of how to use this, I will not provide instructions. The installer file includes 133 charts that were used in this collection which were mostly exported from the game because I didn't keep the original charts. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Guitars: You will want to play with a guitar, this game sucks without one. The easiest to play GHIII PC is the XBox 360 Xplorer. If you cannot get a hold of one, then a PS2 guitar or a Wii guitar will work. Guitars are becoming more and more rare as time goes on, get one now!! PS2 Guitar: Requires a PS2 to USB adapter and Xpadder. Wii Guitar: Requires a bluetooth adapter, GlovePIE, and a guitar script. The tools required are included in the Extras folder. It will be up to you to figure out what to do with them (Google is your best friend). If you have a guitar but the strummer is fucked up you may be able to replace it. See the image in the "Extras" folder for some ideas. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Extras Folder: Included is a bunch of handy programs and other stuff that may be useful. Audacity: Great program when making custom songs for many different reasons. LAME for Audacity: This allows you to export audio in Audacity to MP3. MixMeister BPM Analyzer: Also great when making customs. This gives you the average BPM for an MP3 file. Xpadder: This program is the best when needing to map Playstation 2 Guitar buttons to the keyboard. GlovePIE: Allows control of a wii remote on PC when connected through bluetooth. WiiGuitar Script: Load into GlovePIE to use a Wii Guitar for PC Guitar Hero III. GH3 Custom Icon: Just a custom Guitar Hero III icon file you can use for whatever. Xpadder PS2 Guitar Example: A screenshot assisting how to set up a PS2 Guitar with GHIII PC using XPadder. Guitar Compatible Switches: An image that displays some switches that should work in most Guitar Hero guitars.

English

sentence translation english

Last Update: 2015-02-19
Subject: General
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Indonesian

gogle translit1 00:00:12,851 --> 00:00:17,000 The film refers to sexual problems. Multiple sensitive images. 2 00:00:17,025 --> 00:00:20,542 Spectators should reconsider before watching! 3 00:01:37,400 --> 00:01:39,520 Tell him know where the girls captive. 4 00:01:39,620 --> 00:01:41,290 Saying unplug the phone! 5 00:01:41,550 --> 00:01:43,060 Babylon stars? 6 00:01:43,580 --> 00:01:44,589 What this site... 7 00:01:44,590 --> 00:01:48,010 Daily at fixed hours are sending the screen instructions. 8 00:01:48,770 --> 00:01:51,010 But this time, has not received a complaint of the victim. 9 00:01:51,020 --> 00:01:54,039 But that, had the exact expression. Fully formed threads spread across the network. 10 00:01:54,040 --> 00:01:57,800 Spreading the scenes clip real time interrogation of the prisoner! 11 00:01:59,160 --> 00:02:02,490 These are a few of the guys page illusinary pleasures. 12 00:02:03,120 --> 00:02:05,720 We must be inserted into the center of our illusions! 13 00:03:48,040 --> 00:03:48,840 Are you okay? 14 00:03:48,850 --> 00:03:49,660 Injuries doing? 15 00:04:19,050 --> 00:04:20,060 Mifuyu! 16 00:04:21,880 --> 00:04:23,050 Waitress! 17 00:04:25,620 --> 00:04:27,020 Why are you here... 18 00:04:27,790 --> 00:04:29,440 Being that they catch on, huh? 19 00:04:54,120 --> 00:05:00,100 Flee away! Flee away! 20 00:05:00,760 --> 00:05:02,460 The main door has no where! 21 00:05:13,580 --> 00:05:14,460 How'd it go? 22 00:05:14,970 --> 00:05:15,950 Its okay! 23 00:05:20,560 --> 00:05:22,490 Who are you? 24 00:05:26,120 --> 00:05:27,260 Answer me go! 25 00:05:57,420 --> 00:05:58,500 Here! 26 00:05:59,530 --> 00:06:01,230 Here! Heret here! 27 00:06:03,960 --> 00:06:06,760 Today delay meeting. Change of the meal! 28 00:06:19,730 --> 00:06:23,320 Too rude! 29 00:06:23,690 --> 00:06:25,370 Every night, too! Is there any doubt? 30 00:06:25,380 --> 00:06:27,670 Also by hardcopy husband seemed to be fans! 31 00:06:33,030 --> 00:06:34,351 No way! He was just so rushed! 32 00:06:34,580 --> 00:06:37,380 So simply deceiving themselves to my wife thinks so happy! 33 00:06:53,730 --> 00:06:55,502 Looks as was shot dead in a few names. 34 00:06:55,527 --> 00:06:56,904 There is a named manager there. 35 00:06:57,920 --> 00:07:00,159 But he's just a low level only. 36 00:07:00,160 --> 00:07:02,425 Currently we have no way to catch... 37 00:07:02,450 --> 00:07:06,244 South american guy equipment supplier and he suspects founders of this site. 38 00:07:09,410 --> 00:07:10,190 Dear sir! 39 00:07:13,480 --> 00:07:16,480 Now just have to wait for memory harmed chance alone. 40 00:07:20,640 --> 00:07:21,820 Sac her face that much less. 41 00:07:22,970 --> 00:07:24,020 Just go home today! 42 00:07:27,090 --> 00:07:28,250 Temporary rest was just 43 00:08:05,180 --> 00:08:06,250 mifuyu! 44 00:08:13,240 --> 00:08:14,190 Are you okay? 45 00:08:14,200 --> 00:08:15,490 There is nothing wrong, right? 46 00:08:17,690 --> 00:08:20,480 Its been years you didn't contact me. Does jacob... 47 00:08:20,780 --> 00:08:22,210 I followed the crime, right? 48 00:08:25,800 --> 00:08:26,660 What occurred then? 49 00:08:30,460 --> 00:08:32,060 Mifuyu! What are you thinking about? 50 00:08:32,080 --> 00:08:34,270 I know she's worried about me, aren't you? 51 00:08:34,460 --> 00:08:36,499 The three surel has been hospitalized, you did not know, didn't you? 52 00:08:36,500 --> 00:08:37,760 I'm not interested! 53 00:08:38,810 --> 00:08:39,610 Mifuyu! 54 00:08:40,450 --> 00:08:41,890 Why do I escape? 55 00:08:43,140 --> 00:08:46,010 Inmates that I am! 56 00:09:06,250 --> 00:09:07,130 Four sisters come on! 57 00:09:09,230 --> 00:09:10,840 True that insanity was doing that! 58 00:09:11,020 --> 00:09:12,210 Older Sister! 59 00:09:38,170 --> 00:09:40,130 I want to serve you in hell! 60 00:09:42,100 --> 00:09:43,640 Misaki amamiya it ha! 61 00:09:47,360 --> 00:09:48,090 Who are you? 62 00:09:49,080 --> 00:09:49,820 Joseph! 63 00:09:51,450 --> 00:09:52,280 Joseph!? 64 00:09:53,040 --> 00:09:55,900 Sometimes also should wash jacket away instead! 65 00:09:56,440 --> 00:09:57,400 Balls and that home! 66 00:10:01,370 --> 00:10:02,330 Who are you? 67 00:10:03,130 --> 00:10:05,517 At the crime scene she did drop a escape. 68 00:10:05,542 --> 00:10:07,574 This is an important suspects! As her sister! 69 00:10:08,040 --> 00:10:09,780 The other suspects were shot dead! 70 00:10:10,270 --> 00:10:12,290 Front of her outsider doing very depressed. 71 00:10:12,340 --> 00:10:15,900 But in my heart secretly glad to have concealed because of his sister. 72 00:10:16,810 --> 00:10:18,010 Mau answer me! 73 00:10:18,040 --> 00:10:18,900 Who are you? 74 00:10:19,440 --> 00:10:21,130 Why let the girls get away! 75 00:10:21,690 --> 00:10:22,670 For the star itself? 76 00:10:23,240 --> 00:10:24,640 Or for protection for ourselves? 77 00:10:25,480 --> 00:10:26,320 English... 78 00:10:27,160 --> 00:10:28,530 Is how to mifuyu? 79 00:10:29,150 --> 00:10:31,380 I am asked why she let her escape? 80 00:10:40,260 --> 00:10:41,170 What do you want here? 81 00:10:43,250 --> 00:10:44,890 Just keep the phone away! 82 00:10:45,240 --> 00:10:46,440 Will contact you! 83 00:10:56,460 --> 00:10:59,429 There is no evidence of excessive! 84 00:10:59,430 --> 00:11:01,890 Bring it back cooking that is the story of Chihiro her! 85 00:11:02,640 --> 00:11:03,760 So smooth road all stars? 86 00:11:05,390 --> 00:11:06,180 Knitwear! 87 00:11:09,980 --> 00:11:13,189 There is a very good site that home! 88 00:11:13,190 --> 00:11:15,360 Public page? 89 00:11:17,440 --> 00:11:18,320 Babylon! 90 00:11:27,790 --> 00:11:28,610 What are you? 91 00:11:30,370 --> 00:11:31,330 As illegal website! 92 00:11:31,500 --> 00:11:33,130 I heard this woman was really imprisoned 93 00:11:35,500 --> 00:11:37,590 ah that is not a crime 94 00:11:37,920 --> 00:11:39,481 do not worry that your teeth white cow! 95 00:11:39,510 --> 00:11:41,430 Whatever instructions are very dangerous! 96 00:11:42,110 --> 00:11:43,390 Guide!? 97 00:11:44,180 --> 00:11:46,270 The first few minutes are free. Pay later! 98 00:11:46,310 --> 00:11:48,298 Way to premium written in the upper right corner. 99 00:11:48,311 --> 00:11:50,310 If you agree, then it can be read on! 100 00:11:54,810 --> 00:11:56,320 Oh! "Demons" is here! 101 00:11:56,360 --> 00:11:57,520 Goodbye! 102 00:12:18,460 --> 00:12:19,520 Sadako ha? 103 00:12:34,560 --> 00:12:35,920 Is a new woman! 104 00:12:43,460 --> 00:12:44,960 Wow! There are errors too! 105 00:12:57,950 --> 00:12:59,970 Investigate the origins of this woman go! 106 00:13:00,090 --> 00:13:01,120 Making good on! 107 00:13:01,400 --> 00:13:03,139 Hiroki continue to monitor! 108 00:13:03,140 --> 00:13:03,960 It! 109 00:13:09,560 --> 00:13:13,140 For further surcharge. 110 00:13:21,480 --> 00:13:27,420 Chihiro that ha! Named for her grandmother's "devil". 111 00:13:28,000 --> 00:13:31,810 While I was talking to her. Seeing her write the word "devil"! 112 00:13:32,120 --> 00:13:35,480 Feel she truly surreal analogy! 113 00:13:36,500 --> 00:13:37,680 So... 114 00:13:38,400 --> 00:13:39,840 Chihiro husband, why? 115 00:13:41,230 --> 00:13:44,270 Listen to what is done is not very good. Should have the ability to be fired! 116 00:13:45,550 --> 00:13:47,170 Very scary ha! 117 00:13:49,820 --> 00:13:51,140 Our family, why? 118 00:13:52,440 --> 00:13:55,100 Happiness too hey! 119 00:15:50,570 --> 00:15:52,940 The case has added new details, huh? 120 00:15:55,470 --> 00:15:58,510 He is the manager of babylon page? 121 00:15:59,230 --> 00:16:00,010 And more! 122 00:16:01,060 --> 00:16:02,320 Go out and relay contacts. 123 00:16:03,850 --> 00:16:04,860 I'm working on that! 124 00:16:05,970 --> 00:16:07,210 Go out and keep in touch! 125 00:16:21,120 --> 00:16:22,110 Where are you on? 126 00:16:22,560 --> 00:16:23,880 Go to the toilet! 127 00:16:34,460 --> 00:16:36,590 Go to the last room! 128 00:17:02,640 --> 00:17:03,630 Have not into you? 129 00:17:04,240 --> 00:17:04,860 Then! 130 00:17:05,580 --> 00:17:06,920 Take your clothes off! 131 00:17:07,840 --> 00:17:08,420 Eh!? 132 00:17:09,010 --> 00:17:10,970 Do not make me say it the second time! 133 00:17:10,990 --> 00:17:12,000 Come with a show, huh? 134 00:17:12,430 --> 00:17:14,560 Do you think I'm joking? 135 00:17:15,380 --> 00:17:17,600 Its really boring how you might be off 136 00:17:35,870 --> 00:17:37,920 knowing my situation then, huh? 137 00:17:40,520 --> 00:17:42,540 Threatening others is not my style! 138 00:17:42,840 --> 00:17:49,290 Therefore, it is necessary to undress 139 00:17:49,840 --> 00:17:51,230 so want to undress me! 140 00:17:51,680 --> 00:17:53,440 Do not look down on me specially in my home! 141 00:17:53,460 --> 00:17:57,410 Of course! I hope you have chosen wisely. 142 00:17:59,340 --> 00:18:01,380 My sister was charmed by him, huh? 143 00:18:02,030 --> 00:18:03,580 Can look into it? 144 00:18:08,410 --> 00:18:10,400 Watch out my sister has betrayed me! 145 00:19:00,500 --> 00:19:01,530 Take it then! 146 00:19:01,850 --> 00:19:03,370 Take a picture sent over here! 147 00:19:04,480 --> 00:19:05,790 Do not be a show anymore! 148 00:19:20,690 --> 00:19:21,610 Take it nice! 149 00:19:23,210 --> 00:19:24,340 Pretty go! 150 00:19:25,700 --> 00:19:26,590 Okay huh? 151 00:19:27,220 --> 00:19:27,870 Not! 152 00:19:28,440 --> 00:19:29,480 Thats enough! 153 00:19:29,730 --> 00:19:31,400 Do these things he funny? 154 00:19:31,630 --> 00:19:32,380 Take off the bottom away! 155 00:19:32,430 --> 00:19:33,640 Hands against the wall! 156 00:19:33,700 --> 00:19:34,821 Mongolia swaying swinging! 157 00:19:34,930 --> 00:19:35,980 Do so that! 158 00:19:36,360 --> 00:19:38,180 Watch your way of talking! 159 00:19:41,810 --> 00:19:42,500 Okay! 160 00:19:43,280 --> 00:19:45,490 Listen orders will have prizes! 161 00:19:46,670 --> 00:19:47,730 reward huh! 162 00:19:48,320 --> 00:19:50,561 Is not she want to know the situation of babylon stars? 163 00:19:51,490 --> 00:19:54,420 For intelligence, that makes this little... 164 00:19:54,960 --> 00:19:56,590 Doing so takes much dignity star? 165 00:19:57,460 --> 00:19:58,220 Do's nothing but! 166 00:19:58,750 --> 00:20:00,720 Whatever way! You have to remove it! 167 00:20:18,190 --> 00:20:19,320 I took them off and then! 168 00:20:20,200 --> 00:20:21,300 Complete huh? 169 00:20:21,620 --> 00:20:22,370 True! 170 00:20:22,610 --> 00:20:23,730 Back then lie! 171 00:21:11,290 --> 00:21:12,490 How quickly! 172 00:21:24,620 --> 00:21:25,840 Where you see all that about? 173 00:21:27,650 --> 00:21:30,030 Looks like paintings ass so ha! 174 00:21:36,720 --> 00:21:38,090 Must be brave to do it! 175 00:21:38,640 --> 00:21:41,130 Hey, make seriously into. Out shyly looks on! 176 00:21:49,160 --> 00:21:50,400 Ask not finished saying, huh? 177 00:22:05,660 --> 00:22:07,320 How feeling now? 178 00:22:09,790 --> 00:22:10,620 Do that! 179 00:22:14,120 --> 00:22:15,180 You know the way! 180 00:22:17,760 --> 00:22:18,590 How quickly! 181 00:22:33,550 --> 00:22:35,270 Want to others that she is a staunch girl! 182 00:22:35,300 --> 00:22:36,560 Should always frowning! 183 00:22:37,490 --> 00:22:39,920 But it is her weakness! 184 00:22:48,660 --> 00:22:51,260 To be honest! It's what you are being asked that! 185 00:23:11,840 --> 00:23:15,440 Question... is not you? 186 00:23:16,880 --> 00:23:17,770 Okay! 187 00:23:18,280 --> 00:23:20,240 Look on the bottom, right corner of the toilet. 188 00:24:06,340 --> 00:24:08,210 That's shizuko toyama items. 189 00:24:08,600 --> 00:24:09,730 Not wrong, huh? 190 00:24:10,450 --> 00:24:10,960 Yeah! 191 00:24:11,790 --> 00:24:15,150 It is a gift given to me this year, but his wife! 192 00:24:16,860 --> 00:24:17,880 Why this item... 193 00:24:18,290 --> 00:24:20,500 Do you know lady shizuko where is it? 194 00:24:21,220 --> 00:24:23,000 Two days ago was the mother then! 195 00:24:23,260 --> 00:24:25,370 Apparently ill mother something my wife! 196 00:24:26,050 --> 00:24:27,580 So then contacted again? 197 00:24:28,400 --> 00:24:30,040 No wonder there is nothing special touch! 198 00:24:30,290 --> 00:24:32,140 Ultimately only daily tasks at home alone! 199 00:24:33,160 --> 00:24:33,880 This department... 200 00:24:34,340 --> 00:24:35,730 My wife happened already? 201 00:25:01,380 --> 00:25:02,560 Shizuko! 202 00:25:04,020 --> 00:25:05,710 It's exactly not his wife? 203 00:25:08,080 --> 00:25:09,540 What is this... 204 00:25:11,780 --> 00:25:12,770 Shizuko! 205 00:25:13,250 --> 00:25:15,740 Oh! Shizuko! 206 00:25:16,440 --> 00:25:18,760 Shizuko shi...! 207 00:25:20,320 --> 00:25:25,390 I and shizuko has been married three years ago. 208 00:25:27,300 --> 00:25:29,553 Then I decided to leave the company securities. 209 00:25:29,578 --> 00:25:30,458 Diy its up to you now. 210 00:25:31,580 --> 00:25:33,320 The future is clearly unstable. 211 00:25:34,660 --> 00:25:37,380 As someone shizuko behind me playing this one! 212 00:25:42,830 --> 00:25:45,100 why my wife had this happen again saying, hey! 213 00:25:47,560 --> 00:25:48,369 No matter who is too! 214 00:25:48,370 --> 00:25:50,140 Ask them about people that watch!! Shizuko 215 00:25:50,280 --> 00:25:51,810 ask if she is the woman's come on! 216 00:25:53,150 --> 00:25:54,380 A virtuous person like that! 217 00:25:56,050 --> 00:25:57,970 A gentle wife's modest like that! 218 00:25:59,500 --> 00:26:01,280 Can not find the second person like her! 219 00:26:02,900 --> 00:26:03,580 Shizuko! 220 00:26:04,940 --> 00:26:05,650 Shi... 221 00:26:06,600 --> 00:26:07,810 Be noisy death 222 00:26:08,590 --> 00:26:09,150 excuse! 223 00:26:09,210 --> 00:26:09,880 Excuse! 224 00:26:11,840 --> 00:26:13,385 Item that ring... 225 00:26:13,410 --> 00:26:15,904 Woman imprisoned in babylon. 226 00:26:16,030 --> 00:26:17,380 English how to get it wrong? 227 00:26:17,900 --> 00:26:22,080 Just open the mouth is referred to the stars? 228 00:26:22,380 --> 00:26:24,650 I thank him for giving me the intelligence. 229 00:26:24,920 --> 00:26:26,241 But I did not understand that he! 230 00:26:26,640 --> 00:26:27,940 Back intention to save her! 231 00:26:28,160 --> 00:26:28,880 In other words... 232 00:26:29,090 --> 00:26:31,060 Is wanted to use me for other intentions ha! 233 00:26:31,650 --> 00:26:33,930 She just listened to my commands! 234 00:26:35,000 --> 00:26:35,960 Just like that! 235 00:26:37,470 --> 00:26:39,970 But I'm the police! 236 00:26:42,050 --> 00:26:43,520 Do not think so complex that! 237 00:26:44,300 --> 00:26:46,300 A nutshell is that! I will place order next! 238 00:28:21,520 --> 00:28:22,530 Right here! 239 00:28:26,720 --> 00:28:28,330 You worked hard! 240 00:28:29,980 --> 00:28:30,690 Please sign sir! 241 00:28:30,760 --> 00:28:31,470 Okay! 242 00:29:19,920 --> 00:29:22,010 This... ma'am... 243 00:29:23,800 --> 00:29:24,300 Ah! 244 00:29:24,780 --> 00:29:25,940 Please sign for the delivery! 245 00:29:28,080 --> 00:29:30,680 Oh! Okay! 246 00:29:33,080 --> 00:29:34,730 What in heaven am I doing, hey! 247 00:32:43,770 --> 00:32:44,570 Snake! 248 00:32:47,540 --> 00:32:48,410 Do it properly! 249 00:32:54,270 --> 00:32:55,630 For women, relent a bit! 250 00:33:04,020 --> 00:33:05,530 Sadly this too! 251 00:33:13,570 --> 00:33:14,240 Lady! 252 00:33:15,930 --> 00:33:17,140 Today do not bad! 253 00:33:19,770 --> 00:33:24,000 Chairman... also seems very happy. 254 00:33:26,830 --> 00:33:27,920 Particular, he says... 255 00:33:33,200 --> 00:33:37,550 She selflessly for others, so very good! 256 00:33:41,900 --> 00:33:42,500 Snake! 257 00:33:44,760 --> 00:33:49,520 Last time his wife was not at countries that ha! 258 00:33:58,590 --> 00:34:00,100 I need something... 259 00:34:00,890 --> 00:34:01,800 Voiced any work ha! 260 00:34:03,560 --> 00:34:06,130 It seems that police are continuing the investigation. 261 00:34:07,620 --> 00:34:11,120 But that said chairman do not need to bother. 262 00:34:21,920 --> 00:34:23,980 Tomorrow, please be trusted to! 263 00:35:28,370 --> 00:35:30,030 Click the button "activity"! 264 00:35:48,080 --> 00:35:49,520 Facing the back! 265 00:36:01,810 --> 00:36:03,360 Spread your two legs! 266 00:36:04,970 --> 00:36:06,210 People are going to see it! 267 00:36:06,380 --> 00:36:07,940 Form two legs! 268 00:36:11,060 --> 00:36:12,820 You are extremely a pervert! 269 00:36:13,460 --> 00:36:14,350 How quickly! 270 00:36:15,080 --> 00:36:17,160 After these words of honor to take that home! 271 00:36:17,890 --> 00:36:20,210 If she does not change the gas export... 272 00:36:20,240 --> 00:36:22,620 It forever remains a useless woman! 273 00:36:43,930 --> 00:36:45,649 Unveiling high skirt up! 274 00:37:21,530 --> 00:37:22,840 Question... are not you? 275 00:37:23,860 --> 00:37:24,880 Ask him that! 276 00:37:25,150 --> 00:37:26,320 Question... was not? 277 00:37:26,350 --> 00:37:27,970 People are staring! 278 00:37:29,130 --> 00:37:30,030 Ask him that! 279 00:37:30,480 --> 00:37:32,090 Please forgive me! 280 00:37:34,370 --> 00:37:35,260 Okay! 281 00:37:43,980 --> 00:37:46,030 Oh! Oh! Something my sister! Ne drop! 282 00:37:47,960 --> 00:37:49,170 Big sister drop this! 283 00:37:54,270 --> 00:37:55,240 I see, huh? 284 00:37:56,040 --> 00:37:57,960 After that he wanted to turn me out what's this? 285 00:38:03,200 --> 00:38:05,260 Until now, the women babylon website... 286 00:38:05,870 --> 00:38:07,076 Identity and background of the launch... 287 00:38:07,101 --> 00:38:08,384 Will not know how to spend it! 288 00:38:09,490 --> 00:38:11,178 Clearly worldwide... 289 00:38:11,203 --> 00:38:13,364 Who know how to see them. 290 00:38:14,500 --> 00:38:15,380 My stupid is stupid! 291 00:38:15,970 --> 00:38:17,306 She thought for what I am... 292 00:38:17,331 --> 00:38:19,404 Which tells her to place them, anyway! 293 00:38:23,290 --> 00:38:25,300 So people send anonymous messages is he huh? 294 00:38:27,260 --> 00:38:30,440 The reason that the women missing! Only one alone! 295 00:38:31,380 --> 00:38:32,539 The women in babylon... 296 00:38:32,564 --> 00:38:35,114 Will disappear behind the mirror it! 297 00:38:54,020 --> 00:38:55,680 This is so dirty that I have done. 298 00:38:56,380 --> 00:38:57,920 Just let me clean up! 299 00:39:08,320 --> 00:39:11,560 Madame... why are you here? 300 00:39:14,880 --> 00:39:15,810 Do you not know? 301 00:39:18,220 --> 00:39:23,410 I know listen to the division of that work alone! 302 00:39:28,860 --> 00:39:29,970 I did not say it was not! 303 00:39:35,640 --> 00:39:37,300 So why you're here right? 304 00:39:44,210 --> 00:39:45,240 Because money huh? 305 00:39:52,320 --> 00:39:54,010 Here that have been forced to do so ha! 306 00:40:03,460 --> 00:40:04,610 I was normal! 307 00:40:07,570 --> 00:40:09,360 Seeing his eyes reveal the tragic... 308 00:40:14,260 --> 00:40:17,960 I feel the real situation is not so! 309 00:40:30,120 --> 00:40:31,580 Women are the same all right! 310

English

gogle translit

Last Update: 2015-02-10
Subject: General
Usage Frequency: 1
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Reference:
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Indonesian

CURRENT METHODS FOR MONITORING IAQ Diagnostic techniques used for IAQ evaluations are usually divided into a qualitative and a quantitative phase.73 Instrumentation used during the qualitative IAQ evaluation is limited and is intended primarily to supplement the investigators visual observations. Direct-reading instruments are used to measure relative humidity, room temperature, O3, CO, CO2, and particulate concentrations. The qualitative evaluation for microbial contaminants includes an assessment of the building and heating, ventilating, and air-conditioning (HVAC) system for water damage and moisture problems, including condensation and the presence of visible mold or musty odors indicative of mVOCs.26 The qualitative evaluation for VOCs includes an observance of odors, building renovation, specialized office equipment, pressed wood products, and cleaning products used. Methodologies for collecting and culturing dust, bulk, and air sampling are discussed in more detail elsewhere.73,74 Environmental testing should be restricted to specific situations that warrant further assessment of the relationship between IAQ and clinical symptoms. HOW TO CREATE A HEALTHIER INDOOR ENVIRONMENT Building procedures The allergy specialist should have some familiarity with building a healthy home because patients are frequently presenting with health complaints related to poor IAQ attributed to their home or workplace. The 3 primary considerations in improving IAQ are (1) evaluation of construction failures that allow moisture into the walls of a building, (2) poor ventilation causing excessive humidity and accumulation of gaseous and/or chemical exposure from materials in the living space, and (3) poorly designed or failing HVAC systems that contribute to poor air circulation. An extensive overview of building sciences and the guidelines for new home construction can be found at http://www.healthhouse. org. Building a healthy home should take into account costs versus energy savings and improved health outcomes. Further studies are needed to confirm the health benefits of healthy home construction. IAQ standards In contrast with the industrial workplace setting, quantitative standards for chemical, biological, and particulate exposures as well as ventilation requirements have not been well established and are not routinely monitored. Although some government entities provide guidelines related to IAQ concerns, these generally take the form of recommendations for the control or elimination of sources and strategies for exposure reduction, rather than for achieving pollutant levels below some specific air concentration (Table I). Legislation such as Clean Indoor Air acts ban or restrict smoking in workplaces and in public places and reduce exposures to ETS for workers and patrons.75 The Environmental Protection Agencys IAQ Tools for Schools program addresses IAQ management in schools by providing guidance for those aspects of building maintenance, housekeeping, and daily school operations that can influence IAQ, such as the importance of preventing water intrusion; carefully selecting, using, and storing cleaning and pesticide products; and ensuring proper ventilation. This program also provides resources and strategies for remediation of allergen and irritant-induced IAQ problems and strategies to maintain good IAQ over time.76 These voluntary programs are gaining widespread acceptance.76 Conclusion This review was prepared with the goal of providing allergists with a balanced perception of indoor pollution and how to apply this information in the evaluation of individual patients who present with s

English

cool. its time to improve it

Last Update: 2014-11-18
Subject: General
Usage Frequency: 1
Quality:

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Indonesian

CURRENT METHODS FOR MONITORING IAQ Diagnostic techniques used for IAQ evaluations are usually divided into a qualitative and a quantitative phase.73 Instrumentation used during the qualitative IAQ evaluation is limited and is intended primarily to supplement the investigators visual observations. Direct-reading instruments are used to measure relative humidity, room temperature, O3, CO, CO2, and particulate concentrations. The qualitative evaluation for microbial contaminants includes an assessment of the building and heating, ventilating, and air-conditioning (HVAC) system for water damage and moisture problems, including condensation and the presence of visible mold or musty odors indicative of mVOCs.26 The qualitative evaluation for VOCs includes an observance of odors, building renovation, specialized office equipment, pressed wood products, and cleaning products used. Methodologies for collecting and culturing dust, bulk, and air sampling are discussed in more detail elsewhere.73,74 Environmental testing should be restricted to specific situations that warrant further assessment of the relationship between IAQ and clinical symptoms. HOW TO CREATE A HEALTHIER INDOOR ENVIRONMENT Building procedures The allergy specialist should have some familiarity with building a healthy home because patients are frequently presenting with health complaints related to poor IAQ attributed to their home or workplace. The 3 primary considerations in improving IAQ are (1) evaluation of construction failures that allow moisture into the walls of a building, (2) poor ventilation causing excessive humidity and accumulation of gaseous and/or chemical exposure from materials in the living space, and (3) poorly designed or failing HVAC systems that contribute to poor air circulation. An extensive overview of building sciences and the guidelines for new home construction can be found at http://www.healthhouse. org. Building a healthy home should take into account costs versus energy savings and improved health outcomes. Further studies are needed to confirm the health benefits of healthy home construction. IAQ standards In contrast with the industrial workplace setting, quantitative standards for chemical, biological, and particulate exposures as well as ventilation requirements have not been well established and are not routinely monitored. Although some government entities provide guidelines related to IAQ concerns, these generally take the form of recommendations for the control or elimination of sources and strategies for exposure reduction, rather than for achieving pollutant levels below some specific air concentration (Table I). Legislation such as Clean Indoor Air acts ban or restrict smoking in workplaces and in public places and reduce exposures to ETS for workers and patrons.75 The Environmental Protection Agencys IAQ Tools for Schools program addresses IAQ management in schools by providing guidance for those aspects of building maintenance, housekeeping, and daily school operations that can influence IAQ, such as the importance of preventing water intrusion; carefully selecting, using, and storing cleaning and pesticide products; and ensuring proper ventilation. This program also provides resources and strategies for remediation of allergen and irritant-induced IAQ problems and strategies to maintain good IAQ over time.76 These voluntary programs are gaining widespread acceptance.76 Conclusion This review was prepared with the goal of providing allergists with a balanced perception of indoor pollution and how to apply this information in the evaluation of individual patients who present with suspected symptoms arising from poor IAQ. As the patients foremost advocate, the allergy consultant should be prepared to acquire and maintain expertise in environmental factors that directly affect genetic susceptibilities inherent in allergic diseases. Evaluation of an individual patients exposure also requires that the allergist be familiar with methodologies for monitoring IAQ and interpreting results in the context of the patients exposure history. Finally, the allergist should be informed about existing indoor and outdoor air quality standards with the goal of advising patients about rational environmental control interventions.

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google translitex indonesia inggris USEFUL FOR MANY GOOD PEOPLE

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Indonesian

This twentieth century has been a period of terrific dynamism. Perhaps the last fifty years have seen more developments and more material progress than the previous five hundred years. Man has learned to control many of the scourges which once threatened him. He has learned to consume distance. He has learned to project his voice and his picture across oceans and continents. lie has probed deep into the secrets of nature and learned how to make the desert bloom and the plants of the earth increase their bounty. He has learned how to release the immense forces locked in the smallest particles of matter. But has man's political skill marched hand-in-hand with his technical and scientific skill? Man can chain lightning to his command-can be control the society in which be lives? The answer is No! The political skill of man has been far outstripped by technical skill, and what lie has made he cannot be sure of controlling. The result of this is fear. And man gasps for safety and morality. Perhaps now more than at any other moment in the history of the world, society, government and statesmanship need to be based upon the highest code of morality and ethics. And in political terms, what is the highest code of morality? It is the subordination of everything to the well-being of mankind. But today we are faced with a situation where the well-being of mankind is not always the primary consideration. Many who are in places of high power think, rather, of controlling the world. Yes, we are living in a world of fear. The life of man today is corroded and made bitter by fear. Fear of the future, fear of the hydrogen bomb, fear of ideologies. Perhaps this fear is a greater danger than the danger itself, because it is fear which drives men to act foolishly, to act thoughtlessly, to act dangerously. . . . All of us, I am certain, are united by more important things than those which superficially divide us. We are united, for instance, by a common detestation of colonialism in whatever form it appears. We are united by a common detestation of racialism. And we are united by a common determination to preserve and stabilise peace in the world. . . . We are often told "Colonialism is dead." Let us not be deceived or even soothed by that. 1 say to you, colonialism is not yet dead. How can we say it is dead, so long as vast areas of Asia and Africa are unfree. And, I beg of you do not think of colonialism only in the classic form which we of Indonesia, and our brothers in different parts of Asia and Africa, knew. Colonialism has also its modern dress, in the form of economic control, intellectual control, actual physical control by a small but alien community within a nation. It is a skilful and determined enemy, and it appears in many guises. It does not give up its loot easily. Wherever, whenever and however it appears, colonialism is an evil thing, and one which must be eradicated from the earth. . . . 3. What is the new kind of kolonialism that president Sukarno is talking about? Does it still exist? If yes. Please describe in what ways? Support your answer with examples 4. From this article, can you figure out president Sukarno's hopes and dreams for the world? Explain 5. What are your hopes and dreams for the world and especially for your country? Describe 6. Do you think president Sukarno was able to realize his dreams and hopes? If yes, how? 7. According to President Sukarno, peace is very important. What do you think? Discuss 8. If you were given a chance to give a speech in front of all the presidents and prime ministers of the world, what would you talk about? Discuss in details

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Indonesian

1 Predicting Australian Takeover Targets: A Logit Analysis Maurice Peat* Maxwell Stevenson* * Discipline of Finance, School of Finance, The University of Sydney Abstract Positive announcement-day adjusted returns to target shareholders in the event of a takeover are well documented. Investors who are able to accurately predict firms that will be the subject of a takeover attempt should be able to earn these excess returns. In this paper a series of probabilistic regression models were developed that use financial statement variables suggested by prior research as explanatory variables. The models, applied to in-sample and out-of-sample data, led to predictions of takeover targets that were better than chance in all cases. The economic outcome resulting from holding a portfolio of the predicted targets over the prediction period are also analysed. Keywords: takeovers, targets, prediction, classification, logit analysis JEL Codes: G11, G17, G23, G34 This is a draft copy and not to be quoted. 2 1. Introduction In this paper our aim is to accurately predict companies that will become takeover targets. Theoretically, if it is possible to predict takeovers with accuracy greater than chance, it should be possible to generate abnormal returns from holding a portfolio of the predicted targets. Evidence of abnormal returns of 20% to 30% made by shareholders of firms on announcement of a takeover bid is why prediction of these events is of interest to academics and practitioners alike. The modelling approach adopted in this study was based on the discrete choice approach used by Palepu (1986) and Barnes (1999). The models were based on financial statement information, using variables suggested by the numerous theories that have been put forward to explain takeover activity. The performance of the models was evaluated using statistical criteria. Further, the predictions from the models were rated against chance and economic criteria through the formation and tracking of a portfolio of predicted targets. Positive results were found under both evaluation criteria. Takeover prediction studies are a logical extension of the work of Altman (1968) who used financial statement information to explain corporate events. Early studies by Simkowitz and Monroe (1971) and Stevens (1973) were based on the Multiple Discriminant Analysis (MDA) technique. Stevens (1973) coupled MDA with factor analysis to eliminate potential multicollinearity problems and reported a predictive accuracy of 67.5%, suggesting that takeover prediction was viable. Belkaoui (1978) and Rege (1984) conducted similar analyses in Canada with Belkaoui (1978) confirming the results of these earlier researchers and reporting a predictive accuracy of 85% . Concerns were raised by Rege (1984) who was unable to predict with similar accuracy. These concerns were also raised in research by others such as Singh (1971) and Fogelberg, Laurent, and McCorkindale (1975). Reacting to the wide criticism of the MDA method, researchers began to use discrete choice models as the basis of their research. Harris et al. (1984) used probit analysis to develop a model and found that it had extremely high explanatory power, but were unable to discriminate between target and non-target firms with any degree of accuracy. Dietrich and Sorensen (1984) continued this work using a logit model and achieved a classification accuracy rate of 90%. Palepu (1986) addressed a number of methodological problems in takeover prediction. He suggested the use of statebased prediction samples where a number of targets were matched with non-targets 3 for the same sample period. While this approach was appropriate for the estimation sample, it exaggerated accuracies within the predictive samples because the estimated error rates in these samples were not indicative of error rates within the population of firms. He also proposed the use of an optimal cut-off point derivation which considered the decision problem at hand. On the basis of this rectified methodology, along with the application of a logit model to a large sample of US firms, Palepu (1986) provided evidence that the ability of the model was no better than a chance selection of target and non-target firms. Barnes (1999) also used the logit model and a modified version of the optimal cut-off rule on UK data. His results indicated that a portfolio of predicted targets may have been consistent with Palepu’s finding, but he was unable to document this in the UK context due to model inaccuracy. In the following section the economic explanations underlying takeover activity are discussed. Section 3 outlines our takeover hypotheses and describes the explanatory variables that are used in the modelling procedure. The modelling framework and data used in the study is contained in Section 4, while the results of our model estimation, predictions, classification accuracy and portfolio economic outcomes are found in Section 5. We conclude in Section 6. 2. Economic explanations of takeover activity Economic explanations of takeover activity have suggested the explanatory variables that were included in this discrete choice model development study. Jensen and Meckling (1976) posited that agency problems occurred when decision making and risk bearing were separated between management and stakeholders1, leading to management inefficiencies. Manne (1965) and Fama (1980) theorised that a mechanism existed that ensured management acted in the interests of the vast number of small non-controlling shareholders2. They suggested that a market for corporate control existed in which alternative management teams competed for the rights to control corporate assets. The threat of acquisition aligned management objectives with those of stakeholders as managers are terminated in the event of an acquisition in order to rectify inefficient management of the firm’s assets. Jensen and Ruback (1983) suggested that both capital gains and increased dividends are available to an 1 Stakeholders are generally considered to be both stock and bond holders of a corporation. 2 We take the interests of shareholders to be in the maximization of the present value of the firm. 4 acquirer who could eliminate the inefficiencies created by target management, with the attractiveness of the firm for takeover increasing with the level of inefficiency. Jensen (1986) looked at the agency costs of free cash flow, another form of management inefficiency. In this case, free cash flow referred to cash flows in excess of positive net present value (NPV) investment opportunities and normal levels of financial slack (retained earnings). The agency cost of free cash flow is the negative NPV value that arises from investing in negative NPV projects rather than returning funds to investors. Jensen (1986) suggested that the market value of the firm should be discounted by the expected agency costs of free cash flow. These, he argued, were the costs that could be eliminated either by issuing debt to fund an acquisition of stock, or through merger with, or acquisition of a growing firm that had positive NPV investments and required the use of these excess funds. Smith and Kim (1994) combined the financial pecking order argument of Myers and Majluf (1984) with the free cash flow argument of Jensen (1986) to create another motivational hypothesis that postulated inefficient firms forgo profitable investment opportunities because of informational asymmetries. Further, Jensen (1986) argued that, due to information asymmetries that left shareholders less informed, management was more likely to undertake negative NPV projects rather than returning funds to investors. Smith and Kim (1994) suggested that some combination of these firms, like an inefficient firm and an efficient acquirer, would be the optimal solution to the two respective resource allocation problems. This, they hypothesised, would result in a market value for the combined entity that exceeded the sum of the individual values of the firms. This is one form of financial synergy that can arise in merger situations. Another form of financial synergy is that which results from a combination of characteristics of the target and bidding firms. Jensen (1986) suggested that an optimal capital structure exists, whereby the marginal benefits and marginal costs of debt are equal. At this point, the cost of capital for a firm is minimised. This suggested that increases in leverage will only be viable for those firms who have free cash flow excesses, and not for those which have an already high level of debt. Lewellen (1971) proposed that in certain situations, financial efficiencies may be realized without the realization of operational efficiencies. These efficiencies relied on a simple Miller and Modigliani (1964) model. It proposed that, in the absence of corporate taxes, an increase in a firm’s leverage to reasonable levels would increase the value of the equity share of the company due to a lower cost of capital. By a 5 merger of two firms, where either one or both had not utilised their borrowing capacity, would result in a financial gain. This financial gain would represent a valuation gain above that of the sum of the equity values of the individual firms. However, this result is predicated on the assumption that the firms need to either merge or be acquired in order to achieve this result. Merger waves are well documented in the literature. Gort (1969) suggested that industry disturbances are the source of these merger waves, his argument being that they occurred in response to discrepancies between the valuation of a firm by shareholders and potential acquirers. As a consequence of economic shocks (such as deregulation, changes in input or output prices, etc.), expectations concerning future cash flow became more variable. This results in an increased probability that the value the acquirer places on a potential target is greater than its current owner’s valuation. The result is a possible offer and subsequent takeover. Mitchell and Mulherin (1996), in their analysis of mergers and acquisitions in the US during the 1980s, provided evidence that mergers and acquisitions cluster by industries and time. Their analysis confirmed the theoretical and empirical evidence provided by Gort (1969) and provided a different view suggesting that mergers, acquisitions, and leveraged buyouts were the least cost method of adjusting to the economic shocks borne by an industry. These theories suggested a clear theoretical base on which to build takeover prediction models. As a result, eight main hypotheses for the motivation of a merger or acquisition have been formulated, along with twenty three possible explanatory variables to be incorporated predictive models. 3. Takeover hypotheses and explanatory variables The most commonly accepted motivation for takeovers is the inefficient management hypothesis.3 The hypothesis states that inefficiently managed firms will be acquired by more efficiently managed firms. Accordingly, H1: Inefficient management will lead to an increased likelihood of acquisition. Explanatory variables suggested by this hypothesis as candidates to be included in the specifications of predictive models included: 1. ROA (EBIT/Total Assets – Outside Equity Interests) 3 It is also known as the disciplinary motivation for takeovers. 6 2. ROE (Net Profit After Tax / Shareholders Equity – Outside Equity Interests) 3. Earnings Before Interest and Tax Margin (EBIT/Operating Revenue) 4. EBIT/Shareholders Equity 5. Free Cash Flow (FCF)/Total Assets 6. Dividend/Shareholders Equity 7. Growth in EBIT over past year, along with an activity ratio, 8. Asset Turnover (Net Sales/Total Assets) While there are competing explanations for the effect that a firm’s undervaluation has on the likelihood of its acquisition by a bidder, there is consistent agreement across all explanations that the greater the level of undervaluation then the greater the likelihood a firm will be acquired. The hypothesis that embodies the impact of these competing explanations is as follows: H2: Undervaluation of a firm will lead to an increased likelihood of acquisition. The explanatory variable suggested by this hypothesis is: 9. Market to book ratio (Market Value of Securities/Net Assets) The Price Earnings (P/E) ratio is closely linked to the undervaluation and inefficient management hypotheses. The impact of the P/E ratio on the likehood of acquisition is referred to as the P/E hypothesis: H3: A high Price to Earnings Ratio will lead to a decreased likelihood of acquisition. It follows from this hypothesis that the P/E ratio is a likely candidate as an explanatory variable for inclusion in models for the prediction of potential takeover targets. 10. Price/Earnings Ratio The growth resource mismatch hypothesis is the fourth hypothesis. However, the explanatory variables used in models specified to examine this hypothesis capture growth and resource availability separately. This gives rise to the following: H4: Firms which possess low growth / high resource combinations or, alternatively, high growth / low resource combinations will have an increased likelihood of acquisition. The following explanatory variables suggested by this hypothesis are: 7 11. Growth in Sales (Operating Revenue) over the past year 12. Capital Expenditure/Total Assets 13. Current Ratio (Current Assets/Current Liabilities) 14. (Current Assets – Current Liabilities)/Total Assets 15. Quick Assets (Current Assets – Inventory)/Current Liabilities The behaviour of some firms to pay out less of their earnings in order to maintain enough financial slack (retained earnings) to exploit future growth opportunities as they arise, has led to the dividend payout hypothesis: H5: High payout ratios will lead to a decreased likelihood of acquisition. The obvious explanatory variable suggested by this hypothesis is: 16. Dividend Payout Ratio Rectification of capital structure problems is an obvious motivation for takeovers. However, there has been some argument as to the impact of low or high leverage on acquisition likelihood. This paper proposes a hypothesis known as the inefficient financial structure hypothesis from which the following hypothesis is derived. H6: High leverage will lead to a decreased likelihood of acquisition. The explanatory variables suggested by this hypothesis include: 17. Net Gearing (Short Term Debt + Long Term Debt)/Shareholders Equity 18. Net Interest Cover (EBIT/Interest Expense) 19. Total Liabilities/Total Assets 20. Long Term Debt/Total Assets The existence of Merger and Acquisition (M&A) activity waves, where takeovers are clustered in wave-like profiles, have been proposed as indicators of changing levels of M&A activity over time. It has been argued that the identification of M&A waves, with the corresponding improved likelihood of acquisition when the wave is surging, captures the effect of the rate of takeover activity at specific points in time, and serves as valuable input into takeover prediction models. Consistent with M&A activity waves and their explanation as a motivation for takeovers is the industry disturbance hypothesis: 8 H7: Industry merger and acquisition activity will lead to an increased likelihood of acquisition. An industry relative ratio of takeover activity is suggested by this hypothesis: 21. The numerator is the total bids launched in a given year, while the denominator is the average number of bids launched across all the industries in the ASX. Size will have an impact on the likelihood of acquisition. It seems plausible that smaller firms will have a greater likelihood of acquisition due to larger firms generally having fewer bidding firms with the resources to acquire them. This gives rise to the following hypothesis: H8: The size of a firm will be negatively related to the likelihood of acquisition. Explanatory variables that can be employed to control for size include: 21. Log (Total Assets) 22. Net Assets 4. Data and Method The data requirements for the variables defined above are derived from the financial statements and balance sheet date price information for Australian listed companies. The financial statement information was sourced from the AspectHuntley data base which includes annual financial statement data for all ASX listed companies between 1995 and 2006. The database includes industry classifications for all firms included in the construction of industry relative ratios. Lists of takeover bids and their respective success were obtained from the Connect4 database. This information enabled the construction of variables for relative merger activity between industries. Additionally, stock prices from the relevant balance dates of all companies were sourced from the AspectHuntley online database, the SIRCA Core Price Data Set and Yahoo! Finance. 4.1 The Discrete Choice Modelling Framework The modelling procedure used is the nominal logit model, made popular in the bankruptcy prediction literature by Ohlson (1980) and, subsequently, in the takeover prediction literature by Palepu (1986). Logit models are commonly utilised for dichotomous state problems. The model is given by equations [1] to [3] below. 9 [3] The logit model was developed to overcome the rigidities of the Linear Probability Model in the presence of a binary dependent variable. Equations [1] and [2] show the existence of a linear relationship between the log-odds ratio (otherwise known as the logit Li) and the explanatory variables. However, the relationship between the probability of the event and acquisition likelihood is non-linear. This non-linear relationship has a major advantage that is demonstrated in equation [3]. Equation [3] measures the change in the probability of the event as a result of a small increment in the explanatory variables, . When the probability of the event is high or low, the incremental impact of a change in an explanatory variable on the likelihood of the event will be compressed, requiring a large change in the explanatory variables to change the classification of the observation. If a firm is clearly classified as a target or non-target, a large change in the explanatory variables is required to change its classification. 4.2 Sampling Schema Two samples were used in the model building and evaluation procedure. They were selected to mimic the problem faced by a practitioner attempting to predict takeover targets into the future. The first sample was used to estimate the model and to conduct in-sample classification. It was referred to as the Estimation Sample. This sample was based on financial data for the 2001 and 2002 financial years for firms that became takeover targets, as well as selected non-targets, between January, 2003 and December, 2004. The lag in the dates allows for the release of financial information as well as allowing for the release of financial statements for firms whose balance dates fall after the 30th June. Following model estimation, the probability of a takeover offer was estimated for each firm in the entire sample of firms between January, 2003 and December, 2004 using the estimated model and each firm’s 2001 and 2002 financial data. Expost predictive ability for each firm was then assessed. 10 A second sample was then used to assess the predictive accuracy of the model estimated with the estimation sample data. It is referred to as the Prediction Sample. This sample includes the financial data for the 2003 and 2004 financial years, which will be used in conjunction with target and non-target firms for the period January, 2005 to December, 2006. Using the model estimated from the 2001 and 2002 financial data, the sample of firms from 2005 and 2006 were fitted to the model using their 2003 and 2004 financial data. They were then classified as targets or non-targets using the 2005 and 2006 data. This sampling methodology allows for the eva

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The Goal and Specification Model. The goal and specification model assumes that there are clear, enduring, normative and well accepted goals and specifications as indicators and standards for education institutions or education systems to pursue or conform. As discussed in the previous part on internal quality assurance, education quality defined by this model is the achievement of the stated goals or conformance to the specifications listed in the institutional plan or program plans. It is a type of internal quality. Quality assurance by this model is to ensuring achievement of stated goals and conformance to given specifications. The typical examples of quality indicators to be used may include students’ academic achievements, attendance rate, dropout rate, and personal developments, number of graduates enrolled in universities or graduate schools, staff’s professional qualifications, etc.

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What is a tornado? Tornadoes are known as one of the most damaging disasters. What is the description of tornadoes? A tornadoes is a very powerful column of winds which spirals around a center of low atmospheric pressure. A tornado will look like a large black funnel which hangs down from a storm cloud. The name “tornado” derives from the Latin “tonare”. It means “to thunder”. While the Spanish developed the word into “tornear” which means “to turn or twist”. This is why a tornado is sometimes called twister or cyclone. The winds inside a twister can spin around at speeds up to 500 miles an hour, but it usually travels at roughly 300 miles an hour. This speed twisting makes a tornado the most dangerous storm. The average tornado has a diameter of about 200 to 300 yards. The smaller tornadoes are known as satellite tornadoes. These small offspring, about 50 yards across, can be very fierce and do lots of damage. The forming of a tornado can be very quick. Sometimes it can form in a minute or less. A tornado can travel across the ground at high speeds, then it can suddenly vanish. Most tornadoes last less than twenty minute and travel less than 15 miles. However, the super storms sometimes travel over 100 miles before they are exhausted. What is a tornado? Tornadoes are known as one of the most damaging disasters. What is the description of tornadoes? A tornadoes is a very powerful column of winds which spirals around a center of low atmospheric pressure. A tornado will look like a large black funnel which hangs down from a storm cloud. The name “tornado” derives from the Latin “tonare”. It means “to thunder”. While the Spanish developed the word into “tornear” which means “to turn or twist”. This is why a tornado is sometimes called twister or cyclone. The winds inside a twister can spin around at speeds up to 500 miles an hour, but it usually travels at roughly 300 miles an hour. This speed twisting makes a tornado the most dangerous storm. The average tornado has a diameter of about 200 to 300 yards. The smaller tornadoes are known as satellite tornadoes. These small offspring, about 50 yards across, can be very fierce and do lots of damage. The forming of a tornado can be very quick. Sometimes it can form in a minute or less. A tornado can travel across the ground at high speeds, then it can suddenly vanish. Most tornadoes last less than twenty minute and travel less than 15 miles. However, the super storms sometimes travel over 100 miles before they are exhausted.

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What is a tornado? Tornadoes are known as one of the most damaging disasters. What is the description of tornadoes? A tornadoes is a very powerful column of winds which spirals around a center of low atmospheric pressure. A tornado will look like a large black funnel which hangs down from a storm cloud. The name “tornado” derives from the Latin “tonare”. It means “to thunder”. While the Spanish developed the word into “tornear” which means “to turn or twist”. This is why a tornado is sometimes called twister or cyclone. The winds inside a twister can spin around at speeds up to 500 miles an hour, but it usually travels at roughly 300 miles an hour. This speed twisting makes a tornado the most dangerous storm. The average tornado has a diameter of about 200 to 300 yards. The smaller tornadoes are known as satellite tornadoes. These small offspring, about 50 yards across, can be very fierce and do lots of damage. The forming of a tornado can be very quick. Sometimes it can form in a minute or less. A tornado can travel across the ground at high speeds, then it can suddenly vanish. Most tornadoes last less than twenty minute and travel less than 15 miles. However, the super storms sometimes travel over 100 miles before they are exhausted.

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