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Category Archives: Business
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Working On The Edge
PART ONETHE GREENHORN SEASON: TANNER CRAB FISHING ABOARD THE ROYAL QUARRYONEAs I pounded the waterfront of Kodiak's Cannery Row in search of work, I stretched my black wool cap down over my numb ears and withdrew farther into the warm, protective folds of my Navy pea jacket. Broke and unemployed, with virtually no experience at sea, my stomach felt empty with apprehension. Huddling against the cold, indifferent winds of January, waiting, literally, for my ship to come in, I tried to imagine what Donny Channel and John Magoteaux, as well as the two men who died, Tom Miller and Tom Davidson, had endured.Several days earlier, a hard-drinking fisherman in the B & B Bar had told me the Master Carl story. For a bar-stool rendition, it was surprisingly accurate, except that he had the grizzlies chasing Magoteaux and Channel for two whole days. "And the bears would of got 'em, too," he put in finally, "if the Coast Guard wouldn't have come along and chased 'em off!"I'd arrived in Kodiak with twenty dollars to my name, but I held one ace card. I had the address and phone number of crab-boat skipper Mike Jones. He was said to be a young, heads-up fisherman who owned and ran the seventy-one-foot blue and white steel crab boat, the Royal Quarry. We'd gone to the same college (Oregon State University in Corvallis) together."I can't promise you a thing if you come up, Spike," Mike Jones (Jonesy) had told me when I phoned him from Oregon only a week before. "But this I can guarantee you. You're not going to get a fishing job sitting down there in Portland. This is where the work is. There's some real money to be made up here. Right now, my men are pocketing about a thousand dollars a week. And that's fishing tanner crab [a tan-colored spidery crustacean that grows to severalfeet in width, averages about three pounds in weight, and is marketed as snow crab]. The real money is made during king crab season. You wouldn't believe how much you can make, provided you get a job on the right boat."But it's tough work. Dangerous work. Dozens of crewmen get killed every year up here. And not just anybody can do it. The crab pots are called 'seven-bys' [seven feet tall, by seven feet wide, by a yard deep] and they weigh seven hundred and fifty pounds completely empty. When they arrive on deck, they may weigh a ton if they're full of crab. You've got to be able to control their swing enough to guide them into the rack [pot launcher]. And you need to be able to do it in rough seas. The weather can really get tough up here."If the fishing's good, you might have to work steady for thirty, forty, or fifty hours without sleep, or even a cooked meal. We can teach you enough about knots and navigation to get by, but the one thing that no one can teach you is how to work. You can't wait to be told what to do. You've got to be able to see it, and not be afraid to jump right in and get it done. But you've worked as a logger. You probably already know what that's about."He paused."If you're really serious about coming up, I can find you a place to crash for a few days," he said finally.Three days later, I flew into the Kodiak Island Airport.With a one-way ticket in hand, I had caught a flight out of Portland, Oregon. Some fifteen hundred air miles later, my plane had touched down in Anchorage, where I climbed aboard an Alaskan puddle jumper. My journey took me south along Cook Inlet and out across some 270 miles of Gulf of Alaska waters to Kodiak.It was a sleet-filled night and my plane was late getting in, but Jonesy was there to greet me. He gave me a pickup truck ride into town and left me with one of his crew members, Steve Calhoun, a good-natured young man from northern California. Steve was exhausted from a long day of repair work aboard the Royal Quarry and after only a few minutes of conversation, he turned in.I was fast asleep in a sleeping bag on his couch when, long before first light, Steve rose and dressed in boots and work clothes. As he walked out the door, he paused. "Here's my key," he said, setting it on the kitchen table. "You can stay here while we're gone. Just be sure and latch the windows and turn everything off and lock up whenever you go out. We should be back in about a week."With a long green duffel bag in hand, he opened the door to go. It was dark outside. Several inches of fresh powdered snow had blown in across the doorstep. "We've got grocery supplies to store away and a few chores to get done on the Quarry this morning before we leave," he continued. "So, we shouldn't be shoving off until afternoon. When you get up, come on down and I'll show you around the boat.""Thanks a lot," I said, my voice filled with gratitude."Oh, hell, that's all right, ah ..." He groped for my name."Spike," I offered."Oh, yah, Spike. Anyway, I don't have any trouble at all remembering whatit was like to be broke and trying to hunt up a job on one of these crab boats. No trouble at all.""Good fishing to you," I replied.Then, with a short wave of his hand, he lifted his duffel bag and fled out the door. I shuddered as the cold blast of arctic air he had let in rolled across the floor and over me. I thought of the brutal weather, my inexperience at sea, and the sad state of my personal finances, and suddenly a moment of panic and doubt gripped me. I asked myself what could have driven me to take such a risk; to leave family and friends and all the warm familiarities of home to venture into this primitive northern country and compete for a crewman's berth in such a brutal and deadly trade.I slept hard and long, and when I rose again, the morning was nearly gone. I chose to skip breakfast, dressed hurriedly but warmly, and headed straight for the waterfront and the B & B Cannery in an effort to catch the Royal Quarry and her crew before she shoved off.Shelikof Boulevard, a street of mud and gravel, wound its way from the center of town along the waterfront to an area commonly referred to as Cannery Row, a strip of processing plants standing shoulder-to-shoulder at the edge of St. Paul Harbor.With the season already in full swing, Cannery Row was already alive with activity. Everywhere the thriving capitalistic pulses of movement and noise and commerce prevailed. All along the waterfront, one could hear the shrill tooting of the shift whistles, the deep belching sounds of crab boats as their powerful diesel engines growled to life, the hydraulic groan of straining dock cranes, the hum of electricity, and the metallic click of chain links meshing over conveyer-belt sprockets. And there was the hiss of escaping cooker steam, the revving of motors, and the warning beeps of racing cannery hysters (forklifts), while out in the harbor, sea gulls squabbled over discarded scraps, and dockside, cannery workers joked in Taiwanese and Filipino tongues.To the nose of the pragmatist visiting Cannery Row drifted grim waves of lung-stopping ammonia, the rotting smell of oozing cannery slime, and the unrelenting odors of iodine, kelp, and decomposing microorganisms. Even though I sported an empty belly, those smells renewed my spirit, filled me with a sense of opportunity and adventure, and sent romantic notions jolting through me.There was an energy here; a boomtown intoxication that can be found nowhere else on earth. There was a sense of optimism and imminent excitement all around; life had taken on a new meaning in these parts. One could see it in the shuffle of the crab-encumbered ships vying for off-loading space along the waterfront, and in the passing faces, and in the quick, restless, straight-ahead way people moved. I could sense an excitement in the tired but grateful faces of the cannery workers as they shuffled home from another profitable sixteen-hour shift. And in the grocery stores, where rich and hungry crab-boat crews bought up every loaf of bread, gallon of milk, and sirloin steak in town, regardless of the price.I could see it in the crowded streets, where long bumper-to-bumper rows of work vehicles filled every available space and along which dual-wheeled trucks with precarious loads of 750-pound crab pots balanced on their flatbed trailers raced. They were on their way to be unloaded at the earliest possible moment onto their ships, which were tied to the tall wooden pilings dockside.Their thudding tires pounded a track through the rough, muck-filled chuckholes and launched geysers of ash-based mud out both sides, coating the long rows of parked vehicles from hubcap to door handle with a sloppy goo the color of wet cement. Jockeying for position on the docks, these same pot-toting trucks had hardly rolled to a standstill before their crews clambered atop them. The young men who leapt to untie the pots moved with excitement and vigor. And as I watched, I found myself envying them, the positions they held and the lives they lived, for they had become an integral part of something vital and adventurous.I'd been part of similar scenes before. Though now still several years shy of thirty, I was there when ambitious men, driven by soaring oil prices, rushed to open up new oil fields outside Morgan City, Louisiana; and I was there when soaring lumber prices lured the same kind of men to plunge, axes in hand, into some of the last great stands of prime old-growth timber in the United States, near Forks, Washington, on the Olympic Peninsula.As I wandered broke and jobless along the waterfront, I tried to remind myself that I had not ventured north completely untrained. While working in the offshore oil fields bordering the Gulf of Mexico, I had served out an apprenticeship as a deep-sea diver; and during that tenure, I had learned to cut and weld underwater, and how to inspect ship hulls, barge hulls, and propellers.While logging in some of the more remote camps in Washington, Oregon, Idaho, and southeast Alaska, I'd learned how to work around heavy equipment, how to stay out of the bite of a straining line, and a good deal of the common sense of serious labor.I'd learned that a man could find a niche for himself in life just about anywhere, if he kept his nose clean, his mouth shut, and worked without quarter or need of praise.Call it impetuousness, or point to the insatiable greed of man, but here in the remote Alaskan outpost of Kodiak, simple American capitalism once again had touched off a modern-day gold rush. Yet this time, the prize was not oil or timber. This time, the nuggets were showing in the tanks of fishing boats returning to port to be off-loaded. During the winter months and into the spring, their cargo came in the form of tanner crab, and during the fall, as spiny red king crab.Experienced skippers--their giant steel ships ranging from 70 to 170 feet--with the knack for tracking down and boating the milling, wandering, unpredictable "bugs" were said to be grossing as much as one, and, occasionally, even two million dollars a year! And the crewmen working on those elite boats were earning upward of 7 percent of that gross, or $70,000 to $140,000 per man!Those who had caught the scent of such vast riches let nothing deterthem--not the gamble of a plane ticket north, the cold inconvenience of winter, the fear of the unknown, or harrowing tales of shipwrecks and disaster. Now, hundreds of would-be fishermen were pouring into the port villages of Kodiak in the Gulf of Alaska and Dutch Harbor in the Aleutian Islands on the edge of the Bering Sea. I was no different.I arrived at the B & B Cannery just in time to wave goodbye to Jonesy as he shoved off from the docks.Jonesy saw my hurried approach on the dock above him, and poked his head out the wheelhouse window and yelled up at me. "We'll be gone about a week, depending upon the fishing," he called, the white jets of his breath lingering in the cold winter air. "Check with Joe at the cannery to see when we'll be getting back into port. We keep radio contact with them. They'll know when we're scheduled to be back in port.""Who?" I yelled after him as his ship pulled away.Jonesy again stuck his head out the side wheelhouse window, pointed to the cannery building behind me, and hollered back, "Joe! Hungarian Joe!"Standing on the edge of the cannery dock, I stuffed my hands into the warm wool pockets of my pea jacket and watched the Royal Quarry idle out of the harbor. I was still there when the toylike spectacle of the blue and white ship turned the corner and moved out across the wrinkled gray expanse of Chiniak Bay.Suddenly, the commotion of the waterfront broke into my thoughts."Hey, Joe! Where do you want the pallets stacked?" a youngster in bright yellow rain-gear pants called from the steamy entrance to the cannery.I knew it was Hungarian Joe standing behind me even before I'd met him. He'd been part of the Hungarian Revolution of 1956, I'd been told. When several divisions of Russian tanks rolled into his country, he'd escaped into Austria. Dressed in plain greens and browns, he wore a flat-billed baseball cap and answered the rain gear-clad youngster with a heavy, Eastern European accent."Joe," I interrupted, "I was wondering if you know how often the Royal Quarry reports in?"He did not seem to hear me. "Vee have crab to cook now!" he replied. Then he pivoted and hurried back inside the cannery. He wasn't ready to talk with anyone then. I'd catch him first thing the next morning.I turned back to the water and once again took in the view. On my far right, and slightly inland, I could see Mt. Barometer, a unique and pointed mountain that rose abruptly for some three thousand feet. It stood unchallenged, and greeted all incoming flights at the end of the airport runway.In the distance stood the long, rugged shoreline of Chiniak Bay. The low-lying country was covered with weather-stunted spruce trees, and its headlands played out abruptly in the form of cliffs at its waters' edge. Inland rose an entire range of steep round-topped mountains with broad bowl-shaped valleys stretching between them. Buried in snow, with bare black rock showing through in places, their treeless slopes offered a bleak reminder that winter was full upon the land.Behind the gigantic hills near the water stood a range of four-thousand-foot glacier-covered mountains, their tallest peaks disappearing into the clouds. But they looked much taller than that, rising from sea level as they did. As I watched, I noticed how the wind was blowing a haze of powdered snow up and over the mountain ridges. Blown into feathery wisps, it looked like mist rising from a breaking surf.Ahead of me, across the channel, lay Gull Island, a narrow strip of land--a plateau of rock, actually. Crowned with brown winter grass, raked by an icy wind, and encircled by a lonely gray expanse of sea, the island was accented with a tide wash of rich brown kelp and the plump white-breasted forms of sea gulls taking refuge along the rocky shore.Not twenty feet from the blinding arc light of a welder cursing his trade, I watched a narrow rainbow-colored strip of spilled fuel oil drift by. Submerged in the depths below it, white-stalked sea anemones as long as one's arm sifted the rich currents. Then there was a submarine flash of fin and blubber, and seconds later, perhaps a hundred feet off, the marble-eyed, mustached head of a sea lion rose from the water. Rich brown in color, its fur wet and slickened, the frolicking creature barked, rolled, then dove again, vanishing behind the cloud of its own breath.Fatigued from the cold and the travel, that night I hiked back to Calhoun's apartment and crawled into my sleeping bag. I felt thankful to be out of the weather and slept that night like the living dead.The next morning, I rose before sunup, downed two glasses of whole milk, four pieces of wheat toast, a quarter pound of bacon, and a half dozen eggs, then once again made straight for the waterfront. I still had hopes of stumbling upon a skipper who, like Mike Jones, knew how to find and catch crab, treated his crew in a straightforward manner, and had a reputation for keeping the ships he skippered afloat. It was a high and mighty order, I chided myself, for someone with no experience at sea and with little more than a sawbuck left to his name.Down on the city docks, I came upon what I believed to be my first crab boat. I placed both my hands on the steel side railing and cleared it in a single motion. Then, standing on her back deck, I came face-to-face with a sign posted on the wheelhouse door. It read FULL CREW. Farther down the docks, I came upon still another. It read DON'T EVEN ASK!Then I checked Cannery Row for new arrivals and spied the fishing vessel Cape Fairwell tied to the pilings in front of the B & B Cannery. "Do you guys have a full crew?" I asked, calling down in a subdued voice to a crewman working on the back deck of the crab boat. Heavily clad, the young man appeared to be splicing together two lengths of yellow cord line.Without looking up from his labor, he shook his head. "You're the third person to ask me that so far, and we only got back in port last night." Then he glanced up at me. "But that doesn't mean a thing," he put in. "You gotta just keep on asking. Guys get injured. Guys get fired or move on. The worst a skipper can say is no." Still, being refused struck me as the deepest form of rejection. And when the crewman returned to his splicing, I silently moved on.For an entire week, I pounded the waterfront in search of work. Each day, I made it a point to stop in at the B & B Cannery and check with Hungarian Joe as to the possible arrival of the Royal Quarry. Then, with the daylight gone and my ambition waning, I'd drift from bar to bar, keeping my eyes peeled and my ears open.The bar life in boomtown Kodiak was the basic social activity for those crewmen in port. It was an all-night lifestyle in which spirits were downed and adolescence could be prolonged indefinitely. It was a stopgap for the missing loved ones of home, and deckhands readily substituted the blood-warming oblivion of liquor and the wild bohemian camaraderie in their place.Many of the bars reminded me of museums in which drinks were served. King crab and tanner crab that had been injected with formaldehyde were commonly mounted over the bar; along the walls hung pictures of crab boats, harpoons, nets, buoys, glass balls, and life rings. The legal drinking age was nineteen. Some of the bars didn't even blow reveille until 5:30 A.M. And in the long daylight hours of late spring and early summer, I was told, you walked out the front door blinking into daylight.There was Solly's Bar (and restaurant), Tony's, The Mecca, The Ships, Shelikof Lodge, The Harvester, The Anchor, The B & B, and the Beachcomber. And I came to know them all.Shying at first from the drunken commotions I chanced upon, I remained silent and waited for the others to do the talking. Each night, I listened to unrefined men clad in muddy boots, wool caps, work-worn jeans, and heavily insulated jackets speaking in a lingo all their own. They talked with enthusiasm about strange (and therefore exciting) places I had never been: Whale Pass, the "south end," Portluck Banks, the bays of Kajulik and Chiganaga, Afognak Island, Cape Alitak, the Barrens, Homer, Icy Cape, Shelikof Strait, the Semidis, Lazy Bay, Dutch Harbor, compass rose, the "slime banks," and "the mainland." These exotic names, in turn, were tied to anecdotes involving catch totals and crew earnings, stormy seas, and men who had experienced them.These men spoke a nautical language, one of geography and events gleaned from decades of open-sea experience. I learned of the fierce tides of Sequim Pass, the prop-grinding shallows of False Pass, the dog-salmon runs of Kukak Bay, the deer hunting on Kodiak Island (with a legal limit of five deer per person per season), the elk hunting on Afognak, the bleak loneliness of the Pribilofs, the mind-bending savagery of seasons "served" around Adak (out in the Aleutians), and of adventure in the uncharted waters along the Alaska Peninsula.So I eavesdropped without shame, and by week's end began to probe with questions of my own. I bought drinks for complete strangers and asked questions until further questioning would have seemed rude, or neurotic.
One night, I stepped out of a bitter cold and into a wild and spirited event at a small, waterfront bar. It was there that I first saw her. She was a good-looking brunette of about twenty or so, a young spitfire of a woman. At the moment, she was locked in an arm-wrestling battle with a boisterous greenhorn who had justflown into town. Unable to ignore his mouth any longer, the young woman had offered up a small challenge. Now an intense throng of hard-drinking fishermen and cannery workers were pressing forward on all sides to get a view of the match, and to voice their support.The commotion was deafening. A rough-looking fisherman sporting a foot of beard and a gruff voice was cheering her on. "Show him what you're made of, Susey!" he growled, pounding his fist on the bar.One fanatical female booster screamed, "Come on, Susey! Take him! Pin the bastard! You can do it, Susey!" As the woman cheered, she pounded on the back of a fisherman with one hand, while slopping beer on the floor from a glass held in the other. And as the battle at hand continued, and the young girl named Susey drew closer to victory, she leapt and screamed and her voice climbed into an hysterical shriek.One had only to look into the greenhorn's face to predict the outcome. And as the amazing vein-popping muscle of Susey's right forearm drove his arm closer to the dark hardwood surface of the bar, his eyes looked bloodshot and his face had flushed purple with effort. Then, with a final gush of exhaled breath, the greenhorn's arm collapsed in surrender and the room erupted. The embarrassed greenhorn fled from the friendly jeering and pats on the back. With his head down, he moved hurriedly through the crowd and out the door.As I departed, the attractive young woman called Susey, or, more affectionately, Susey Q, was sitting at the bar with a warm glow on her face. She was surrounded by a number of admiring young women. Then with a gentle, feminine flair, she swept the clean brown hair from the side of her face and, with a calloused hand, daintily lifted a fresh cold glass of beer to her lips.Later that night, I was listening to the music and jamming down straight shots of tequila at the Beachcomber Bar when Royal Quarry skipper Mike Jones appeared. He stole one of my six shot glasses of tequila and swilled it down before I could protest."Jonesy, you're back!" I shouted, feeling surprised and delighted to see him. "When did you get back into port? They told me you wouldn't be in until tomorrow! How did your trip go?""Well, we've got nearly a full load on board," he replied matter-of-factly. "But we were lucky. We didn't break down, and the weather and fishing were good.""You've been 'lucky' all season long," I joked, poking fun at his modesty. "In fact, I heard your December king crab season wasn't exactly a bust, either."Jonesy broke into a wry smile. "How did your job hunting go?" he asked.I shook my head. "Not nearly as well as your fishing trip," I said.Then the skipper of the Royal Quarry turned to me in earnest. "Spike, we've got a man on board who just might not work out. Now, mind you, I can't promise you anything in the way of a job, but if you think you'd like to, well, you could go out with us this next trip. It'd be a way for you to learn the ropes and see what it's all about and how you like it. And it would give us a chance to see how you work out."I could feel my hopes soar."Now, I can't pay you anything," he continued, doing his best to be clear about the terms. "And I can't promise you a job, because I have a full crew on my back deck right now. But they're an unhappy bunch at the moment. Ordinarily, that wouldn't bother me; I mean if they were mad at me, that wouldn't worry me much at all. But the problem is, one crewman doesn't seem to be able to pull his full share of the load. That makes for bad feelings on deck. And I don't like to see that."Besides, if things went well during your trip out with us ... well ... I can tell you it wouldn't hurt your chances at getting aboard our ship, if and when it does come open. And if things don't work out in the way of a job on board our ship, once you get a little experience at sea, opportunities have a way of opening up for a guy who keeps trying. But you have to be patient. And sometimes you have to pay a few dues first. You have to use your head.""Jonesy," I replied, my eyes wide at the opportunity, "I'll be ready whenever you are. You can damned well be sure I want to go! You betcha!"He seemed pleased at my enthusiasm. "I thought you might," he said, smiling again and swilling down the last of his drink. "Steve Calhoun will be buying supplies for us tomorrow morning. Tag along and help him if he needs it."He rose to go. "You'll need boots, gloves, and rain gear. If you've got any questions about what to buy, talk with Calhoun. He'll set you straight."Early the next morning, I bumped into Hungarian Joe at the B & B Cannery. "Soooo," he began, "did you hear of zee load Mike Jones brought to us?"I nodded."So," he began again, "you go out with him on next trip. Yes? No?"When I nodded a second time, Joe's eyes danced with delight for my good fortune."But I'm not getting paid," I put in quickly. "This trip is just a test to let me see what it's all about ... and to see if I work out.""Ah, you vill make it!" shot back Joe. "You must vait and see!"I nodded again. I always liked people who genuinely wished the very best to others."Ahhh, this Jonesy, he know how to find zee crab," he continued. "He one damned good fisherman. He deliver only to us. He come to port and bring all zee ship vill carry!"I felt encouraged as I climbed down the dockside ladder and leapt down on the deck of the Royal Quarry. Steve Calhoun had arrived just ahead of me, and came out to welcome me aboard. We needed to buy groceries first, then we'd stop by Sutlifs Hardware Store and buy some working clothes and rain gear."What size boots do you wear?" he asked. "I have a spare pair you might be able to wear.""Size thirteen and a half," I said.Calhoun looked at my feet and made a face. "Damn, man," he said. Then added, "Well, so much for that idea!"Suddenly, a young woman's voice broke through our conversation. "Hey!Let's have a little less talk and a whole lot more work going on out there!" she hollered. Then she stuck her head out the back of the wheelhouse door and smiled.I froze in my tracks. My mouth fell open. It was the girl who'd won the arm-wrestling match the night before."That's Susey," offered Calhoun, smiling at my look of astonishment. "She's your new deck boss."WORKING ON THE EDGE. Copyright © 1991 by Spike Walker. All rights reserved. No part of this book may be used or reproduced in any manner whatsoever without written permission except in the case of brief quotations embodied in critical articles or reviews. For information, address St. Martin's Press, 175 Fifth Avenue, New York, N.Y 10010.

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We Didn't Know What We Didn't Know
Posted By Kathy Kliskey | Jan 29, 2015
Have you ever had that terrible feeling? You were new at something, had to succeed, but you didn't know where to start? In fact, you were so new, you knew you didn't even know what you didn't know. I have. I bet you have, too.
Terri Whiteford, Senior Manager of the Proposal Services Team at Siemens Healthcare remembers this feeling well when, 15-years-ago, the team was managing a homegrown database management tool for RFP content.
Fortunately for Terri, she knew what to do:
"We built our own RFP database management tool, but we realized we couldn't keep up with the need to add features and functions. Our database was growing rapidly. We were adding products. The IT department wanted to sunset the database platform and was providing minimal support just to keep us going. We would have needed to continue to spend money to upgrade the homegrown system we created. Spending that money over and over again didn't feel like the right solution or the right strategic decision.
In 2003, we set out in search of a commercial database management tool. We were aware of the fact that we didn't know everything. We didn't know what we didn't know. Our strategy was to work with an expert in the field, one where we could go to user group meetings, and talk with other proposal services groups on how they were using the software, how they were maximizing the value of the database solution. Again, we didn't know what we didn't know because we were doing everything in-house and homegrown, but we found our solution in Qvidian.
Through Qvidian, we have found QPA (Qvidian Proposal Automation) and have participated in user group meetings like the ones at the upcoming user conference Connect 2015. We found them to be very, very valuable. To be able to talk with people who are not in our same industry makes it easier because there's no competition. It gives us a chance to talk with them about what they do, how they get information out of their SMEs [subject matter experts], how they use the tool not just for question and answer pairs, but also to do other kinds of prepackaged proposals and proposal marketing material. These interactions help us find the real value in the database solution. That's been very helpful and that was a strategic decision on our part.
What I tell others facing a challenge similar to what we faced at Siemens is: you need to check out Qvidian because using a RFP database tool like QPA can help your team work more efficiently. The material is already organized, you know where your content is, you can get to it really quickly, and I think it will give everybody confidence that you are using the best material available. Another reason you would want to use Qvidian is that the support is great. The team is very knowledgeable and they roll out new and useful features on a regular basis. The system will support you and it's not going to take a lot of effort on your part to make it work for you."
The next time you are facing a new situation, take a page from Terri's book. Make the strategic decision to seek out an expert in the field. Be sure they provide not just the tool, but opportunities to surround yourself with other users to learn insights and strategies, and have a chance to hear from the best in the business.
With Qvidian, this opportunity happens every day in our online customer community, Club Q activities, and every year at Connect. Join us!


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|« Date » · « Thread »
|Jason Dillon <ja...@planet57.com>
|Re: Conditionally loading modules based on expression (and environment)
|Mon, 02 Oct 2006 18:57:14 GMT
On Oct 2, 2006, at 6:48 AM, Paul McMahan wrote: > +1 sounds like a great idea and would help limit the number of > assemblies. I think the key is to keep the syntax simple and the > runtime reqs to a minimum, limiting the functionality if necessary to > achieve this. I don't know much about Jexl but it sounds like you've > found a good candidate. FYI there was some good discussion about this > issue a few months ago and some similar ideas came out that you might > want to consider combining with your idea: > http://mail-archives.apache.org/mod_mbox/geronimo-dev/200604.mbox/% > email@example.com%3e Had to track down this thread in nabble... mail-archives.apache.org is a PITA to use... :-( Short of adding some warnings if modules are not loaded due to not satisfying a condition... I don't see anything else in that thread that is terrible useful. But maybe I missed something. --jason
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What were the changes made in the thirty years war between the catholic church and protestant church?
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The president has named Katherine Archuleta to replace former OPM Director John Berry, who stepped down in April.
President Obama has tapped Katherine Archuleta to head the Office of Personnel Management, succeeding John Berry who left the agency in April.
Archuleta was national political director for the president's reelection campaign and chief of staff at the Department of Labor. Her resume also includes stints as a senior policy advisor to the city of Denver and executive director of the National Hispanic Cultural Center.
If confirmed, she will be the first Hispanic woman to head OPM.
"Katherine brings to the Office of Personnel Management broad experience and a deep commitment to recruiting and retaining a world-class workforce for the American people. I am grateful Katherine has agreed to serve, and I look forward to working with her in the coming years," Obama said in a statement.
The nomination comes as OPM is facing criticism from some in Congress for a backlog in processing retirement claims, and as the agency deals with managing the details of federal employee furloughs under sequestration. OPM is in the midst of revising its own workforce management strategies, including testing a new data-driven system for evaluating its own human resources efforts called HRStat. Additionally, OPM is at the center of an effort to insure that there is pay equity between men and women working for the federal government.
Posted by Adam Mazmanian on May 23, 2013 at 12:10 PM
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Capitol Hill IT modernization champion Will Hurd reintroduced a bill to support the retirement of legacy technology and the shift to cloud and managed services.
The Air Force is the latest military service to partner with HackerOne on a bug bounty competition where hackers can win prize money by finding vulnerabilities in Air Force sites.
DHS, GSA and customer agencies discuss deployment efforts and ideas for future improvement.
Some IT contractors are worried that the "buy American" executive order from President Trump could squeeze key innovators out of the market.
New guidance from OMB advises agencies to use shared services, GWACs and federal schedules for acquisition, and to leverage IT wherever possible in restructuring plans.
It could be months before the Defense Department has a new CIO, and he or she will face a host of organizational and operational challenges from Day One
Quote 1: "Archuleta was national political director for the president's reelection campaign" This sounds a lot like what to expect frrom this administration - primary qualification is politics. Quote 2: "OPM is at the center of an effort to insure that there is pay equity between men and women working for the federal government." Sounds like more politics. They have been working the "pay equity" issue for decades to where it seems like the only reason we have this agenda still going on is to keep a few extra Feds employed to look at this issue that is generally gone except in the minds of those who use it as a polical issue. Differences in pay are now primarily due to personal choices and surveys showing gender based differences tend to leave out that part of the equation when they want to indicate that the problem is still prevalent. Again, politics at work - as well as wasted tax dollars.
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Originally posted on Down with Goldy | Last updated 6/14/12
I suppose it's high time we talked about Ben Revere, who is hitting .342 this season, which is behind only Paul Konerko in the American League among players with at least 100 at-bats. So, what's up? Since being recalled from the minors and pretty much put into the lineup, Revere has hit .355 with 11 multi-hit games. I'm pretty sure that's really good but when I tried to see where that ranked him I see that there have been 3,964 multi-hit games this year and since you can only download the data for 300 at one time I'm going to go ahead and not do anything further with this information. He is being helped out by a very high BABIP of .365 right now, but with his speed he's bound to beat out a few more balls than most so I'd expect that to settle in around .310 or so. His walk rate is down a bit, but it was always pretty obvious he wasn't going to be a walk machine so that's not all that troubling to me, and more encouraging is his K-rate has nearly been cut in half, which shows he'...
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Jim Haynes newsletters
|Newsletter No. 74
spring 1984
Question - Is Jim Haynes really shy ?
by Merritt Clifton
Jim Haynes is a legend. As with all legends, most who know him recall
a wonderful first meeting, a moment when he brought them through the looking
glass. I've heard many stories of hellos on buses leading to all-night
conversations or making love, and, of course, to creative action-plays,
books, films anything that generates and furthers bright ideas.
PARIS-Jim Haynes is covering the Cannes Film Festival for the next issue of GLN. Jim's latest book, Thanks for Coming, is published by Faber and Faber (39 Thompson St., Winchester, MA 01890. $8.95 plus $1.50 handling). The book is Jim's planetary networking chronicle with folks such as John and Yoko, Germaine Greer, Vangelis, Jean Shrimpton, Mick Jagger, Salvador Dali, Indira Gandhi, David Frost, and the twenty pages of individuals to whom he dedicated the book. "Jet set to the max," sensational, trivial, serious, titillating, and alive with humanness and fun! Jim teaches Media and Sexual Politics at the University of Paris.
Atelier A-2,
Jim Haynes' newsletter


text:
The War on Booze is nothing new.
We're all familiar with the reign of terror called Prohibition. Going further back, temperance leagues have scolded and hounded the American drinker since the first still was erected in the New World. We could, of course, trace it back even further; one can imagine that the first time some hirsute, broken-toothed caveman slurped up the rank remains of rotting, fermented fruit in a commendable effort to forget the workaday worries of Paleolithic life, some other caveman stood nearby, curling his lip with disapproval.
Recently, however, the Texas Alcoholic Beverage Commission added a new twist to the old crusade. Beginning in August of last year, under the cheekily named auspices of Operation Last Call, undercover TABC agents infiltrated bars primarily in North Texas to scout out drunken patrons. When a particular tippler looked as if he was having too much fun, they alerted uniformed authorities, who then demanded sobriety tests and, if they determined the poor fellow was drunk, issued citations for public intoxication. They even went so far as to bust tourists in hotel bars, despite the fact they were registered at the hotel and their vehicles were parked several states away. Their justification? With a straight face they claimed those drunk tourists might just jump off their hotel room balconies.


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Return on investment is at the top of the list for most students, but that's not all. It's not a singular expectation, it's plural, or at least it should be.
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SNAP Admit Card 2015
Symbiosis National Aptitude Test or SNAP is the common obligatory Test for candidates who keen to join various MBA programs. Here on this web page candidates will come across the SNAP Admit Card 2015 to appear in the Examination. Those applicants who have register themselves for Symbiosis Entrance Test, may download their admit card on 6th December 2014 to 21st December 2014.
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text: Probability Theory Bayes Theorem and Naïve Bayes classification 1 Definition of Probability Probability theory encodes our knowledge or belief about the collective likelihood of the outcome of an event. We use probability theory to try to predict which outcome will occur for a given event. Slide adapted from Dan Jurafsky's 2 Sample Spaces We think about the "sample space" as being set of all possible outcomes: For tossing a coin, the possible outcomes are Heads or Tails. For competing in the Olympics, the set of outcomes for a given contest are {gold, silver, bronze, no_award}. For computing part-of-speech, the set of outcomes are {JJ, DT, NN, RB, … etc.} We use probability theory to try to predict which outcome will occur for a given event. Slide adapted from Dan Jurafsky's 3 Axioms of Probability Theory Probabilities are real numbers between 01 representing the a priori likelihood that a proposition is true. Necessarily true propositions have probability 1, necessarily false have probability 0. P(true) = 1 Slides adapted from Mary Ellen Califf P(false) = 0 4 Probability Axioms Probability law must satisfy certain properties: Nonnegativity P(A) >= 0, for every event A Additivity If A and B are two disjoint events, then the probability of their union satisfies: P(A U B) = P(A) + P(B) Normalization The probability of the entire sample space S is equal to 1, i.e., P(S) = 1. P(Cold) = 0.1 (the probability that it will be cold) P(¬Cold) = 0.9 (the probability that it will be not cold) Slide adapted from Dan Jurafsky's 5 An example An experiment involving a single coin toss There are two possible outcomes, Heads and Tails Sample space S is {H,T} If coin is fair, should assign equal probabilities to 2 outcomes Since they have to sum to 1 P({H}) = 0.5 P({T}) = 0.5 P({H,T}) = P({H})+P({T}) = 1.0 Slide adapted from Dan Jurafsky's 6 Another example Experiment involving 3 coin tosses Outcome is a 3-long string of H or T S ={HHH,HHT,HTH,HTT,THH,THT,TTH,TTT} Assume each outcome is equally likely (equiprobable) "Uniform distribution" What is probability of the event A that exactly 2 heads occur? A = {HHT,HTH,THH} P(A) = P({HHT})+P({HTH})+P({THH}) = 1/8 + 1/8 + 1/8 =3/8 Slide adapted from Dan Jurafsky's 7 Probability definitions In summary: P(E) = number of outcomes corresponding to event E --------------------------------------------------------total number of outcomes Probability of drawing a spade from 52 well-shuffled playing cards: 13/52 = ¼ = 0.25 Slide adapted from Dan Jurafsky's 8 How about non-uniform probabilities? An example: A biased coin, twice as likely to come up tails as heads, is tossed twice What is the probability that at least one head occurs? Sample space = {hh, ht, th, tt} (h = heads, t = tails) Sample points/probability for the event: (each head has probability 1/3; each tail has prob 2/3): ht 1/3 x 2/3 = 2/9 hh 1/3 x 1/3= 1/9 th 2/3 x 1/3 = 2/9 tt 2/3 x 2/3 = 4/9 Answer: 5/9 = 0.56 (sum of weights in red since want outcome with at least one heads) By contrast, probability of event for the unbiased coin = 0.75 Slide adapted from Dan Jurafsky's 9 Moving toward language What's the probability of drawing a 2 from a deck of 52 cards? P ( drawing a two ) 4 52 1 13 .077 What's the probability of a random word (from a random dictionary page) being a verb? P ( drawing a verb ) Slide adapted from Dan Jurafsky's # of ways to get a verb all words 10 Probability and part of speech tags • What's the probability of a random word (from a random dictionary page) being a verb? P ( drawing a verb ) # of ways to get a verb all words • How to compute each of these? • All words = just count all the words in the dictionary • # of ways to get a verb: number of words which are verbs! • If a dictionary has 50,000 entries, and 10,000 are verbs…. P(V) is 10000/50000 = 1/5 = .20 Slide adapted from Dan Jurafsky's 11 Independence Most things in life depend on one another, that is, they are dependent: If I drive to SF, this may effect your attempt to go there. It may also effect the environment, the economy of SF,etc. If 2 events are independent, this means that the occurrence of one event makes it neither more nor less probable that the other occurs. If I flip my coin, it won't have an effect on the outcome of your coin flip. P(A,B)= P(A) · P(B) if and only if A and B are independent. P(heads,tails) = P(heads) · P(tails) = .5 · .5 = .25 Note: P(A|B)=P(A) iff A,B independent P(B|A)=P(B) iff A,B independent Slide adapted from Dan Jurafsky's 12 Conditional Probability A way to reason about the outcome of an experiment based on partial information How likely is it that a person has a disease given that a medical test was negative? In a word guessing game the first letter for the word is a "t". What is the likelihood that the second letter is an "h"? A spot shows up on a radar screen. How likely is it that it corresponds to an aircraft? Slide adapted from Dan Jurafsky's 13 Conditional Probability Conditional probability specifies the probability given that the values of some other random variables are known. P(Sneeze | Cold) = 0.8 P(Cold | Sneeze) = 0.6 The probability of a sneeze given a cold is 80%. The probability of a cold given a sneeze is 60%. Slides adapted from Mary Ellen Califf 14 More precisely Given an experiment, a corresponding sample space S, and the probability law Suppose we know that the outcome is within some given event B The first letter was 't' We want to quantify the likelihood that the outcome also belongs to some other given event A. The second letter will be 'h' We need a new probability law that gives us the conditional probability of A given B P(A|B) "the probability of A given B" Slide adapted from Dan Jurafsky's 15 Joint Probability Distribution The joint probability distribution for a set of random variables X1…Xn gives the probability of every combination of values P(X1,...,Xn) Sneeze Cold 0.08 ¬Cold 0.01 ¬Sneeze 0.01 0.9 The probability of all possible cases can be calculated by summing the appropriate subset of values from the joint distribution. All conditional probabilities can therefore also be calculated P(Cold | ¬Sneeze) BUT it's often very hard to obtain all the probabilities for a joint distribution Slides adapted from Mary Ellen Califf 16 Conditional Probability Example • • • • Let's say A is "it's raining". Let's say P(A) in dry California is .01 Let's say B is "it was sunny ten minutes ago" P(A|B) means • "what is the probability of it raining now if it was sunny 10 minutes ago" • P(A|B) is probably way less than P(A) • Perhaps P(A|B) is .0001 • Intuition: The knowledge about B should change our estimate of the probability of A. Slide adapted from Dan Jurafsky's 17 Conditional Probability Let A and B be events P(A,B) and P(A B) both means "the probability that BOTH A and B occur" p(B|A) = the probability of event B occurring given event A occurs definition: p(A|B) = p(A B) / p(B) P(A, B) = P(A|B) * P(B) P(A, B) = P(B, A) Slide adapted from Dan Jurafsky's (simple arithmetic) (AND is symmetric) 18 Bayes Theorem We start with conditional probability definition: P( A | B) P ( A, B ) P(B) So say we know how to compute P(A|B). What if we want to figure out P(B|A)? We can re-arrange the formula using Bayes Theorem: P ( B | A) P( A | B)P(B) P ( A) 19 Deriving Bayes Rule P (A B) P ( A | B) P (A B) P (B | A) P (B ) P (A) P ( A | B)P (B) P ( A B) P (B | A)P ( A) P ( A B) P ( A | B ) P ( B ) P (B | A )P ( A ) P ( A | B) Slide adapted from Dan Jurafsky's P (B | A )P ( A ) P (B ) 20 How to compute probabilities? We don't have the probabilities for most NLP problems We can try to estimate them from data (that's the learning part) Usually we can't actually estimate the probability that something belongs to a given class given the information about it BUT we can estimate the probability that something in a given class has particular values. Slides adapted from Mary Ellen Califf 21 Simple Bayesian Reasoning If we assume there are n possible disjoint rhetorical zones, z1 … zn P(zi | w) = P(w | zi) P(zi) P(w) Want to know the probability of the zone given the word. Can count how often we see the word in a sentence from a given zone in the training set, and how often the zone itself occurs. P(w| zi ) = number of times we see this zone with this word divided by how often we see the zone This is the learning part. Since P(w) is always the same, we can ignore it. So now only need to compute P(w | zi) P(zi) Slides adapted from Mary Ellen Califf 22 Bayes Independence Example Imagine there are diagnoses ALLERGY, COLD, and WELL and symptoms SNEEZE, COUGH, and FEVER Prob P(d) P(sneeze|d) P(cough | d) Well 0.9 0.1 0.1 Cold 0.05 0.9 0.8 Allergy 0.05 0.9 0.7 P(fever | d) 0.01 0.7 0.4 Slides adapted from Mary Ellen Califf 23 Bayes Independence Example By assuming independence, we ignore the possible interactions. If symptoms are: sneeze & cough & no fever: P(well | e) = (0.9)(0.1)(0.1)(0.99)/P(e) = 0.0089/P(e) P(cold | e) = (.05)(0.9)(0.8)(0.3)/P(e) = 0.01/P(e) P(allergy | e) = (.05)(0.9)(0.7)(0.6)/P(e) = 0.019/P(e) P(e) = .0089 + .01 + .019 = .0379 P(well | e) = .23 P(cold | e) = .26 P(allergy | e) = .50 Diagnosis: allergy Slides adapted from Mary Ellen Califf 24 Kupiec et al. Feature Representation Fixed-phrase feature Certain phrases indicate summary, e.g. "in summary" Paragraph feature Paragraph initial/final more likely to be important. Thematic word feature Repetition is an indicator of importance Uppercase word feature Uppercase often indicates named entities. (Taylor) Sentence length cut-off Summary sentence should be > 5 words. 25 Training Hand-label sentences in training set (good/bad summary sentences) Train classifier to distinguish good/bad summary sentences Model used: Naïve Bayes Can rank sentences according to score and show top n to user. 26 Naïve Bayes Classifier The simpler version of Bayes was: P(B|A) = P(A|B)P(B)/P(A) P(Sentence | feature) = P(feature | S) P(S)/P(feature) Using Naïve Bayes, we expand the number of feaures by defining a joint probability distribution: P(Sentence, f1, f2, … fn) = P(Sentence) P(fi| Sentence)/ P(fi ) We learn P(Sentence) and P(fi| Sentence) in training Test: we need to state P(Sentence | f1, f2, … fn) P(Sentence| f1, f2, … fn) = P(Sentence, f1, f2, … fn) / P(f1, f2, … fn) 27 Details: Bayesian Classifier P ( s S | F1 , F 2 ,... F k ) P ( F1 , F 2 ,... F k | s S ) P ( s S ) P ( F1 , F 2 ,... F k ) Assuming statistical independence: P ( s S | F1 , F 2 ,... F k ) Probability that sentence s is included in summary S, given that sentence's feature value pairs k j 1 Probability of feature-value pair occurring in a source sentence which is also in the summary P (F j | s S )P (s S ) k j 1 P(Fj ) compression rate Probability of feature-value pair occurring in a source sentence 28 Bayesian Classifier (Kupiec at el 95) Each Probability is calculated empirically from a corpus See how often each feature is seen with a sentence selected for a summary, vs how often that feature is seen in any sentence. Higher probability sentences are chosen to be in the summary Performance: For 25% summaries, 84% precision From lecture notes by Nachum Dershowitz & Dan Cohen 29 How to compute this? For training, for each feature f: For each sentence s: – Is the sentence in the target summary S? Increment T – Increment F no matter which sentence it is in. P(f|S) = T/N P(f) = F/N For testing, for each document: For each sentence – Multiply the probabilities of all of the features occurring in the sentence times the probability of any sentence being in the summary (a constant). Divide by the probability of the features occurring in any sentence. 30 Learning Sentence Extraction Rules (Kupiec et al. 95) Results About 87% (498) of all summary sentences (568) could be directly matched to sentences in the source (79% direct matches, 3% direct joins, 5% incomplete joins) Location was best feature at 163/498 = 33% Para+fixed-phrase+sentence length cut-off gave best sentence recall performance … 217/498=44% At compression rate = 25% (20 sentences), performance peaked at 84% sentence recall J. Kupiec, J. Pedersen, and F. Chen. "A Trainable Document Summarizer", Proceedings of the 18th ACM-SIGIR Conference, pages 68--73, 1995. 31 Language Identification 32 Language identification Tutti gli esseri umani nascono liberi ed eguali in dignità e diritti. Essi sono dotati di ragione e di coscienza e devono agire gli uni verso gli altri in spirito di fratellanza. Alle Menschen sind frei und gleich an Würde und Rechten geboren. Sie sind mit Vernunft und Gewissen begabt und sollen einander im Geist der Brüderlichkeit begegnen. Universal Declaration of Human Rights, UN, in 363 languages http://www.unhchr.ch/udhr/navigate/alpha.htm 33 Language identification égaux eguali iguales edistämään Ü ¿ How to do determine, for a stretch of text, which language it is from? 34 Language Identification Turns out to be really simple Just a few character bigrams can do it (Sibun & Reynar 96) Based on language models for sample languages 35 Language model basics Unigram and bigram models Evaluating N-gram language models Perplexity The intuition of perpexity is that given two probabilistic models, the better model is the one that better predicts new data (not used to train the model) We can measure better prediction by comparing the probability the model assigns to the test data The better probability will assign a higher probability 36 Perplexity PP (W ) P ( w1 w 2 ... w N ) 1 N 1 N P ( w1 w 2 ... w N ) minimazing perplexity is equivalent to maximazing the test set probability according to the language model 37 Entropy X---a random variable with probability distribution p(x) H ( X ) p ( x ) log 2 p( x) x Measures how predictive a given N-gram model is about what the next word could be 38 KL divergence (relative entropy) D ( P || Q ) P ( x ) log x P ( x) Q ( x) Basis of comparing two probability distributions 39 Language Identification Turns out to be really simple Just a few character bigrams can do it (Sibun & Reynar 96) Used Kullback Leibler distance (relative entropy) Compare probability distribution of the test set to those for the languages trained on Smallest distance determines the language Using special character sets helps a bit, but barely 40 Language Identification (Sibun & Reynar 96) 41 Confusion Matrix A table that shows, for each class, which ones your algorithm got right and which wrong Gold standard Algorithm's guess 42 43 Author Identification (Stylometry) 44 Author Identification Also called Stylometry in the humanities An example of a Classification Problem Classifiers: Decide which of N buckets to put an item in (Some classifiers allow for multiple buckets) 45 The Disputed Federalist Papers In 1787-1788, Jay, Madison, and Hamilton wrote a series of anonymous essays to convince the voters of New York to ratify the new U. S. Constitution. Scholars have consensus that: 5 authored by Jay 51 authored by Hamilton 14 authored by Madison 3 jointly by Hamilton and Madison 12 remain in dispute … Hamilton or Madison? 46 Author identification Federalist papers In 1963 Mosteller and Wallace solved the problem They identified function words as good candidates for authorships analysis Using statistical inference they concluded the author was Madison Since then, other statistical techniques have supported this conclusion. 47 Function vs. Content Words High rates for "by" favor M, low favor H High rates for "from" favor M, low says little High rates for "to" favor H, low favor M 48 Function vs. Content Words No consistent pattern for "war" 49 Federalist Papers Problem Fung, The Disputed Federalist Papers: SVM Feature Selection Via Concave Minimization, ACM TAPIA'03 50 Classification Goal: Assign 'objects' from a universe to two or more classes or categories Examples: Problem Tagging Sense Disambiguation Information retrieval Sentiment classification Author identification Object Word POS Word Document Document Document From: Foundations of Statistical Natural Language Processing. Manning and Schutze Categories The word's senses Relevant/not relevant Positive/negative Authors 51 Text Categorization Applications Web pages organized into category hierarchies Journal articles indexed by subject categories (e.g., the Library of Congress, MEDLINE, etc.) Responses to Census Bureau occupations Patents archived using International Patent Classification Patient records coded using international insurance categories E-mail message filtering News events tracked and filtered by topics Spam Slide adapted from Paul Bennet 52 Yahoo News Categories 53 Cost of Manual Text Categorization Yahoo! 200 (?) people for manual labeling of Web pages using a hierarchy of 500,000 categories MEDLINE (National Library of Medicine) $2 million/year for manual indexing of journal articles using MEdical Subject Headings (18,000 categories) Mayo Clinic $1.4 million annually for coding patient-record events using the International Classification of Diseases (ICD) for billing insurance companies US Census Bureau decennial census (1990: 22 million responses) 232 industry categories and 504 occupation categories $15 million if fully done by hand Slide adapted froml Paul Bennett 54 Knowledge Engineering vs. Statistical Learning For US Census Bureau Decennial Census 1990 232 industry categories and 504 occupation categories $15 million if fully done by hand Define classification rules manually: Expert System AIOCS Development time: 192 person-months (2 people, 8 years) Accuracy = 47% Learn classification function Nearest Neighbor classification (Creecy '92: 1-NN) Development time: 4 person-months (Thinking Machine) Accuracy = 60% Slide adapted froml Paul Bennett 55 Text Topic categorization Topic categorization: classify the document into semantics topics The U.S. swept into the Davis Cup final on Saturday when twins Bob and Mike Bryan defeated Belarus's Max Mirnyi and Vladimir Voltchkov to give the Americans an unsurmountable 3-0 lead in the best-of-five semi-final tie. One of the strangest, most relentless hurricane seasons on record reached new bizarre heights yesterday as the plodding approach of Hurricane Jeanne prompted evacuation orders for hundreds of thousands of Floridians and high wind warnings that stretched 350 miles from the swamp towns south of Miami to the historic city of St. Augustine. 56 The Reuters collection A gold standard Collection of (21,578) newswire documents. For research purposes: a standard text collection to compare systems and algorithms 135 valid topics categories 57 Reuters Top topics in Reuters 58 Reuters Document Example <REUTERS TOPICS="YES" LEWISSPLIT="TRAIN" CGISPLIT="TRAINING-SET" OLDID="12981" NEWID="798"> <DATE> 2-MAR-1987 16:51:43.42</DATE> <TOPICS><D>livestock</D><D>hog</D></TOPICS> <TITLE>AMERICAN PORK CONGRESS KICKS OFF TOMORROW</TITLE> <DATELINE> kicks off CHICAGO, March 2 - </DATELINE><BODY>The American Pork Congress tomorrow, March 3, in Indianapolis with 160 of the nations pork producers from 44 member states determining industry positions on a number of issues, according to the National Pork Producers Council, NPPC. Delegates to the three day Congress will be considering 26 resolutions concerning various issues, including the future direction of farm policy and the tax law as it applies to the agriculture sector. The delegates will also debate whether to endorse concepts of a national PRV (pseudorabies virus) control and eradication program, the NPPC said. A large trade show, in conjunction with the congress, will feature the latest in technology in all areas of the industry, the NPPC added. Reuter </BODY></TEXT></REUTERS> 59 Classification vs. Clustering Classification assumes labeled data: we know how many classes there are and we have examples for each class (labeled data). Classification is supervised In Clustering we don't have labeled data; we just assume that there is a natural division in the data and we may not know how many divisions (clusters) there are Clustering is unsupervised 60 Categories (Labels, Classes) Labeling data 2 problems: Decide the possible classes (which ones, how many) Domain and application dependent Label text Difficult, time consuming, inconsistency between annotators 61 Reuters Example, revisited Why not topic = policy ? <REUTERS TOPICS="YES" LEWISSPLIT="TRAIN" CGISPLIT="TRAINING-SET" OLDID="12981" NEWID="798"> <DATE> 2-MAR-1987 16:51:43.42</DATE> <TOPICS><D>livestock</D><D>hog</D></TOPICS> <TITLE>AMERICAN PORK CONGRESS KICKS OFF TOMORROW</TITLE> <DATELINE> kicks off CHICAGO, March 2 - </DATELINE><BODY>The American Pork Congress tomorrow, March 3, in Indianapolis with 160 of the nations pork producers from 44 member states determining industry positions on a number of issues, according to the National Pork Producers Council, NPPC. Delegates to the three day Congress will be considering 26 resolutions concerning various issues, including the future direction of farm policy and the tax law as it applies to the agriculture sector. The delegates will also debate whether to endorse concepts of a national PRV (pseudorabies virus) control and eradication program, the NPPC said. A large trade show, in conjunction with the congress, will feature the latest in technology in all areas of the industry, the NPPC added. Reuter </BODY></TEXT></REUTERS> 62 Binary vs. multi-way classification Binary classification: two classes Multi-way classification: more than two classes Sometime it can be convenient to treat a multi-way problem like a binary one: one class versus all the others, for all classes 63 Features >>> text = "Seven-time Formula One champion Michael Schumacher took on the Shanghai circuit Saturday in qualifying for the first Chinese Grand Prix." >>> label = "sport" >>> labeled_text = LabeledText(text, label) Here the classification takes as input the whole string What's the problem with that? What are the features that could be useful for this example? 64 Feature terminology Feature: An aspect of the text that is relevant to the task Some typical features Words present in text Frequency of words Capitalization Are there NE? WordNet Others? 65 Feature terminology Feature: An aspect of the text that is relevant to the task Feature value: the realization of the feature in the text Words present in text : Kerry, Schumacher, China… Frequency of word: Kerry(10), Schumacher(1)… Are there dates? Yes/no Are there PERSONS? Yes/no Are there ORGANIZATIONS? Yes/no WordNet: Holonyms (China is part of Asia), Synonyms(China, People's Republic of China, mainland China) 66 Feature Types Boolean (or Binary) Features Features that generate boolean (binary) values. Boolean features are the simplest and the most common type of feature. f1(text) = 1 0 f2(text) = 1 0 if text contain "Kerry" otherwise if text contain PERSON otherwise 67 Feature Types Integer Features Features that generate integer values. Integer features can be used to give classifiers access to more precise information about the text. f1(text) = Number of times text contains "Kerry" f2(text) = Number of times text contains PERSON 68 Feature selection How do we choose the "right" features? Next lecture 69


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If you had any doubts that the BlackBerry slider phone was real, here's a short "leaked" video that shows it as clearly as these "leaked" videos usually show things. Apparently, it's called the BlackBerry Bold 9800 slider. [BGR]
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What leads to stress & what you can do about it?
- Category: Latest News
Tony O'Brien registered osteopath with 10yrs plus experience talks about stress & what you can do about it.
Stiff shoulders, aching back, sore neck and tension headaches are not the only consequences of too much stress. It can also lead to digestive problems such as irritable bowel syndrome and heartburn, cardiovascular disease, migraine, joint pain and low energy.
The nervous system can be divided into two parts, the voluntary and involuntary. The voluntary part of the nervous system is the conscious part. So, if you decide to pick up a newspaper and turn the pages you have consciously used the voluntary part of the nervous system. The involuntary nervous system controls your heart, lungs, digestive system, eye movements and a whole host of other functions. When you are reading the newspaper you don't have to think about what your heart is doing or about digesting the last meal. Fortunately this is done automatically.
This involuntary part is divided again into two parts, the sympathetic and para-sympathetic. The para-sympathetic works when the body is resting and digesting. It allows food to digest and be assimilated. It works to help the body repair, grow and repair. The sympathetic part is responsible for the fight or flight reaction. Suddenly being chased by a wild animal your sympathetic nervous system kicks in to get your body out of trouble. Your heart rate increases, you are more alert, you breath harder and deeper and blood is diverted away from your digestive system to your muscles.
Chemicals are released that liberate sugar stores so they can be used as immediate fuel. While the sympathetic part works, the parasympathetic shuts down, diverting energy to help you cope with the crisis.
So the sympathetic nervous system helps you get out of trouble, so what's the problem? The problem occurs when stress is continuous. Chemicals released by the adrenal glands start breaking down protein sources within the body to release energy and prevent the formation of new tissue. The immune system is also suppressed leading to poor control of infections and colds. With the sympathetic system dominating, the rest and digest part cannot function to help the body grow and repair. If this continues the stress becomes chronic and the body goes into a state of exhaustion leading to symptoms such as irritable bowel syndrome, hypertension, asthma, migraines, recurring colds and fatigue.
Stressful situations also cause muscle tension. If your muscles are continually tense then this starts to deplete the bodies energy. Tense muscles reduce local blood and fluid flow leading to sore muscles. These muscles then become painful which in turns leads to more stress and a viscious cycle ensues.
In order to treat stress you need to relax. Relaxation of both the mind and body is needed. An overactive mind will find it difficult to relax the body. If your muscles are sore and painful then it would difficult to relax the mind. I can offer a treatment program that helps you address the physical side of stress. Helping the body to relearn a more relaxed state, allows the body's nervous system to harmonise and reduce muscle tension. This allows less strain on the heart, improved digestive function, better control of infections, less aches and pains and more energy.
For an appointment with Tony contact the Littlejohn centre on 01-4560300 or for more information see Tony's website www.tonyobrienosteopath.com


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Self contained studio style room. Own bathroom and kitchenette area. This is one room.. (bathroom is ensuite style) Unfurnished or can be furnished if needed, with bed and fridge. Please contact for negotiation of rent price and inclusions. Utilities included Pool access Own covered BBQ area. We have a dog in shared yard area.
I live in a private road with only 5 quality homes in the cul -de -sac, very quiet and peaceful, yet only 500 yards to the Pacific Hwy, 5 min to Belmont Shopping Centre, 5 min to the lake and 10 min to the beach, public transport is within a 5 min walk......Foxtel is connected, the spare living room has a tv and video, lounge etc, double bed or a king single if you prefer.in the other rooms, your own large bathroom with full bath and shower, off street parking, as I said fully furnished
I'm an intelligent, kind woman who is looking for employment. I am currently in Singleton, but wish to come back to Lake Macquarie to be nearer my elderly parents, as well as for better job prospects. I currently pay more than $200 per week in rent, but do find it a struggle, so $200 (or less) would be a great relief to me. I do have an indoor cat, who is no trouble. I don't drink or smoke, am an avid reader, but also like to listen to various kinds of music. I spend a lot of time on my laptop, and enjoy watching movies and documentaries. I have a dream to save enough money to build myself a Tiny House. I have raised 3 children on my own and they are all wonderful human beings. I'm a caring person who likes to cook (my way of nurturing I suppose). I have a car. I'd love to hear from anyone who has something that might be suitable. Thank you, Tracie
The property. 3 bedroom house, 3 lounges with foxtel, 4 bathrooms I shared kitchen, dishwasher and internal laundry. Bedroom to rent has separate bathroom toilet and a door that separates from the main house and has ceiling fan and in-ground swimming pool. Smoking is permitted outside only. Situated at Belmont North on the main highway and Bus stop right outside. Only 10 mins walk to Belmont shopping centre. Car park on property available on request. Deposit is required.Swimming pool
I live in a quiet street in jewells where the back and one side of my house backs on to a nature reserve Close walk to shops and pubs, beach and lake Included in rent is all bills, including foxtel (in room and lounge room)and internet Room has aircon in it Room can become available immediately as there is a rumpus room downstairs which can be used until room becomes available at the end of April Age group 24-33 Contact No
Our lovely little home located in Belmont has views of both the Lake & Ocean from the Veranda. Internet is due to be connected within a couple of weeks. House is fully furnished just the room up for Grabs. The room is quite a large room with air conditioning & an ensuite. The living areas are large and spacious so noone will be on each others toes Please note there is only one room available to rent. Also I am allergic to Cat Unfortunately
Happy, quiet, responsible, pay rent on time, likes and gives respect to others. Keeps active, looking for a long term with all bills included. Prefers not overcrowded places. Close to transport. Likes Pets. I have my own bed, looking for a private room. Not into parties, enjoys day living, walking, gardening at times. The locations 1) in the Newcastle choices have to be close to the Princes Highway to help me catch the 350 bus route bound to Swansea early morning, this bus is frequent during peak times which sets my traveling time very tight during non-peak hours. or 2) In the Revesby area or 3) in North Parramatta or 4) in Bankstown
Beautiful outlook from house to Southern Lake Macquarie, I've lived here six years and it never gets old. Older style home but friendly 50 year old lady who likes music, plays piano, a drop or two of wine and I do smoke in the house so if you're a non-smoker who can't cope this would not be suitable. I have 3 daughters that visit but they are grown up and live elsewhere. I have Foxtel and internet access. I love to cook but if we do meals together I would expect assistance and contribution to the meal. I have two delightful dogs a Kelpie Cross and Shitzu Cross, they are a bit crazy, bark a bit but love everyone once they are introduced. I don't have issues with you having your friends over as long as you don't mind me being here ha ha. I work from home often so I'm here quite a bit. 5 min walk to 16 Footers and 5-10 min to bus routes.
The first room has a built in robe,a single bed can be supplied if required The second room has a desk,a single bed can be supplied if required. The house has a well equipped kitchen, large open plan living areas, sun room, pool and vegetable garden. NBN connected 500Gb at 25/5 speed. The rent includes all bills and includes pool usage. I have a cat so no pets preferred. The house is situated on the 317 bus route, is close to Mt Hutton shops and only a 5 minute drive to Charlestown Square. Also less than 10 minutes drive to Redhead and Dudley Beaches. Very close to bush reserve. Central to Newcastle and Lake Macquarie, situated two minutes off the Newcastle Inner City Bypass which takes you everywhere. Plenty of on street parking.
Absolute waterfront apartment with 180degree lake views from all rooms. Modern style kitchen and living spaces fully tiled throughout living areas carpet bedrooms. Large built in robes. Shared bathroom 2 separate toilets. Wake up looking at the water, the view changes every day. Not far from shops buses and cafes. Walking trails and parks close by at green point. Bedroom is good size for large double bed and other furniture.There are TV points in the room along with a hidden desk built into the robe.
Moving to the area to start a new job. Kiwi male, 45 years old.
I'm house trained, have a conscience, know how to share, pull my own weight, house proud, enjoy life. I'm a teacher, love my friends, family and live music, swimming, travelling
Hey I'm 21 years old, I work full time in hospitality I have my own car. I cook and clean. I'm a very tidy easy going person.
im a friendly and very bubbly easy going person, i work full time as an apprentice chef in belmont and i am looking for a room to rent with someone as friendly and outgoing as me :) I'm a clean person and love to chat. so please let me know if you have anywhere available :)
40 High school teacher Quiet, respectful and collaborative flatmate. My job requires me to be gone 7am to 4pm. Can and willing to contribute to the household in any manner conducive to harmony and functionality. Varied interests and hobbies.
Hey 🙋🏻 I'm Kim, I am 23 years old have relocated from Dubbo about 9months ago now. I work full time at an employment agency, also have started my first year at UON studying teaching. I am not so much a partier but I do love A casual drink on a hot summer arvo! I'm not looking for just a "room" but more of the homely lifestyle, wanting to live with people who could potentially become long life friends. I have a fun bubbly personality and am easy to get along with. I am clean and tidy person.. If I seem like your new roomie, hit me up I love meeting new people.
Large double storey house at lakeside Address, with lake views and plenty of space to relax and unwind. Currently 1 room available. Quiet house close to bus stop & local shops. Currently tenanted by two, full time employed trades persons. Street parking available. House is located about halfway between Belmont and Warners Bay area 3kms from Warners Bay & 4km from Belmont. A short walk to Lake Macquarie and a 10 minute drive to Blacksmiths Beach.
I have a gorgeous girl 9 months old that i share. I am a quiet person. I play guitar and im a handyman. I keep to myself.
Currently working full time and part time 7 days a week. Have 50/50 share of my daughter and a small indoor cat. Looking to move closer to my daughters school. I am very neat and clean.
Hi there, moving to Newcastle as I've just scored a full-time job in Warners Bay. I am clean, tidy, bubbly and easy to get along with as well as reliable with paying rent and bills. Please message me if you have something close to warners bay! Thanks Soph :)
We have a home on beautiful Lake Macquarie where the walking/ cycling track and boat ramp are only 400 meters from the front door with beaches from only 15 mins away and the bus stop only a short 50 meter walk. We have a two story home where we will live upstairs and you would be self-sufficient downstairs. Your living areas will include a freshly painted and newly carpeted 2.65 m x 3.73 m bedroom, bathroom, lounge room and kitchen. You are welcome to use the in ground pool and QLD room with BBQ. The bedroom has a built in 2 door mirrored wardrobe, ceiling fan and king single bed which you are welcome to use or you are welcome to bring your own bed. There is a TV antenna point in the room and several power points.
We have a home on beautiful Lake Macquarie where the walking/ cycling track and boat ramp are only 400 meters from the front door with beaches from only 15 mins away and the bus stop only a short 50 meter walk. We have a two story home where we will live upstairs and you would be self-sufficient downstairs. Your living areas will include a freshly painted and newly carpeted very large bedroom, bathroom, lounge room and kitchen. You are welcome to use the in ground pool and QLD room with BBQ. The bedroom has a built in 2 door mirrored wardrobe, ceiling fan and double bed which you are welcome to use, we can swap it for a king single or we can remove it if you have your own bed. There is a TV antenna point in the room and several power points.
I am a 30yr old professional looking to move from Brisbane. I will be working long hours, but enjoy having a wine, cheese and crackers, and netflix. I like exercising, enjoy going on walks and cooking. I am clean, not a big party person, but excited to explore what Newcastle has to offer!
Looking at moving to Hunter region would like to try area before I commit.
Myself and my partner are a quiet, tidy, easy going couple. We are relatively new to renting and have a reference if needed. My partner is originally from Melbourne while I, (Shai) have lived in Newcastle my whole life. We are a very mature couple and feel we would best suit the criteria of your ideal flatmates. We are not 100% sure on when we shall move due to opportunities of rooms, etc. but we are very open to all options and are willing to move ASAP! We look forward to hearing from you soon! :)


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Mail: Workers memorial day
Increasing acknowledgment of Armenian genocide
More opinion
Scholarships offered for youth summer camps
Keep an eye out for power lines during planting season
More Ag News
The North Platte Community College Music Department will host its end of the year concert on May 5. ...More
Seniors Kaylee Messersmith of Brady and Courtney Pelland of North Platte have signed scholarship offers from Midland University in Fremont and will become part of the Warrior Wildfire Dancers this fall. ...More
The Republican Plains Athletic Conference has announced their top scorers in the ACT (American College Tests). ...More
Every Nebraskan uses a nonp-rofit every day. In Nebraska, one in 11 people — your friends, family and neighbors — work for a nonprofit organization. ...More
The Friends of the North Platte Public Library started their spring book sale at the library Thursday, and the sale continues through Saturday. ...More
A key player in space exploration will speak in North Platte on Tuesday, May 9 as part of the Town Hall Lecture Series. ...More
During Saturday evening, April 22, the Nebraska State Patrol conducted alcohol compliance checks at retail stores in Lincoln County. ...More
"David Christy Butler: Nebraska's First Governor" will be presented by Jim Griffin at the next Celebrate Nebraska 150 program at the North Platte Public Library at noon on Friday, May 5. ...More
The NebraskaLand National Bank celebrated the graduation of 30 students from the NebraskaLand University Scholarship Program. ...More
Do you think you might be ready to buy your first house? Where do you begin? ...More
In the first two weeks in May, the North Platte Noon Rotary Club will bring the 'Josh the Otter,' a water safety and literacy project to the kindergarten classes of North Platte. ...More
TheNorth Platte Elks Lodge No. 985 held its 13th annual Soccer Shoot on Saturday, April 22, with 64 competitors. ...More
On Sunday, May 21, Paws-itive Partners will host their second Pedal for Paws bike ride to benefit animals in the Lincoln County area. ...More
The North Platte Public Schools Foundation held an "Art Showcase" in conjunction with their annual Education After Hours on April 7. ...More
The classrooms were filled with instruments, singing and dancing Friday at the district music contest in Sutherland. ...More
MOPS (Mothers of Preschoolers) is a ministry led by moms for moms from pregnancy through graduating kindergarten. ...More
Flatrock Publishing, Inc.
1300 E 4th St., Suite F
North Platte, NE 69101


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Oneonta, NY Adult Novelty Stores
YP - The Real Yellow PagesSM - helps you find the right local businesses to meet your specific needs. Search results are sorted by a combination of factors to give you a set of choices in response to your search criteria. These factors are similar to those you might use to determine which business to select from a local Yellow Pages directory, including proximity to where you are searching, expertise in the specific services or products you need, and comprehensive business information to help evaluate a business's suitability for you. "Preferred" listings, or those with featured website buttons, indicate YP advertisers who directly provide information about their businesses to help consumers make more informed buying decisions. YP advertisers receive higher placement in the default ordering of search results and may appear in sponsored listings on the top, side, or bottom of the search results page.
1. EllaParadis.com
Serving the Oneonta Area.
From Business: As one of the largest adult toy and lingerie e-commerce retailers in the United States, Ella Paradis sells the newest and best quality products. We curate our web…
2. Adam & Eve
Serving the Oneonta Area.
3. CT Exotic Toys
Serving the Oneonta Area.
From Business: Adult Books. Adult Games. Adult Films. X-Rated Films. Adult novelties. Sexual products. Adult toys. Women's Wear. Lingerie. Corsets. Bustiers. Costumes. Men's Wea…
4. Adult Pleasure Toys
6188 State Route 5Little Falls, NY 13365
5. Allies Adult Book Store
483 Court StBinghamton, NY 13904
6. Spencer's
223 Reynolds RdJohnson City, NY 13790
7. Tikkis Adult Boutique
1136 State Route 222Cortland, NY 13045
From Business: Tikki's is here to help couples spice things up and at Tikki's they know sexy ladies come in all sizes . We take pride in helping our customers spice the night up…
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There can be a fundamental gulf of gracelessness in a human heart which neither our love nor our courage can bridge.
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We invite the parents of our Stellar students to read the latest news and announcements in our Parent Portal.
The next board meeting is on Tuesday, May 16 at 6:00 p.m. All parents and students are welcome to join us.
Please mark your calendars with these helpful fall dates.
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Teacher appreciation week is on May 1-5. Take a moment to show our wonderful teachers how much you appreciate them!
Miss JoJo McCoy, one of our music teachers from last year, is extending a special discounted price to Stellar students for her week-long choir camp right on our campus.
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The Wilcoxen Memorial Scholarship is available to returning full-time students. Apply now for next fall. Swing by and pick up a tuition assistance application in the office today!
Scholarships are available for the summer training Slingerland comprehensive teacher training course.
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Miss JoJo McCoy is hosting a choir camp at Stellar Academy on June 19-23 from 1:00 p.m. to 5:00 p.m. each afternoon.
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Mark your calendars and invite family members to our annual Stellar Academy Science Fair/Open House on Thursday, April 27 from 5:00-6:00 p.m.
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Please join us this summer for our Slingerland comprehensive teacher training course.
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The co-ordination committee meeting of the Congress and Nationalist Congress Party (NCP) held on Saturday evening, to have a consensus on big policy decisions and iron out pending grouses, was a tame affair with allies deciding to skirt the past and focus on the future.
This was the first meeting held between the allies after an agreement was reached between NCP chief Sharad Pawar and top Congress leadership. Earlier, Pawar had threatened to quit the Union government, pointing to lack of co-ordination between the allies at the Centre and in the state.
"We have decided to meet once a month. We talked of identifying 10 to 15 big projects from infrastructure to irrigation, which should be completed in the next two years. We should have something big to showcase to the people before 2014," said union minister Praful Patel, member of the co-ordination committee.
The NCP was represented by Patel, deputy chief minister Ajit Pawar and state party president Madhukar Pichad, whereas Congress was represented by chief minister Prithviraj Chavan, AICC incharge for Maharashtra Mohan Prakash and state party president Manikrao Thakre.
The NCP raised the issue of increasing the number of members in the co-ordination committee, which had been restricted to three from each party as per Congress' request. However, no decision was taken on this.
"The transfers of IAS and IPS officers should be done in consultation with the deputy CM and for IPS officials, also with the home minister. We should be a part of the decision making and this was agreed upon," said Pawar. "One day, we were told the Worli-Haji Ali Sea Link has been cancelled. Such decisions cannot be taken without a joint discussion."