leeblog

2006-02-15T01:12:00.000-08:00

Ruslan-Ponomariov

Ruslan Ponomariov (born October 11, 1983) is a Ukraine chess player. Ponomariov was born in Gorlovka in Ukraine. In 1994 he came third in the World Under-12 Championship at the age of ten, and the following year won it at the age of eleven. In 1996 he won the European Under-18 Championship at the age of just twelve, and the following year won the World Under-18 Championship. In 1998, at the age of fourteen, he was awarded the International Grandmaster title, making him the youngest ever player at that time to hold the title. Among Ponomariovs notable later results are first at the Donetsk Zonal in 1998, 5/7 in the European Club Cup 2000 (including a victory over then-FIDE World Champion Alexander Khalifman), joint first with 7.5/9 at Torshavn 2000, 8.5/11 for Ukraine in the 2001 Chess Olympiad in Istanbul, winning gold medal on board 2, and first place with 7/10 in the 2001 Governors Cup in Kramatorsk. In 2002 he beat his fellow countryman Vasily Ivanchuk in the final of the FIDE Knock-Out World Championship by a score of 4.5-2.5 to become FIDE world champion at the age of eighteen, the first teenager to ever become world champion. In the same year he finished second in the very strong Linares chess tournament tournament behind Garry Kasparov. His result in the strong 2003 Corus chess tournament at Wijk aan Zee was less good - despite having the third highest Elo rating, he finished only join eleventh out of fourteen players with 6/13, and at Linares the same year he finished only fifth out of seven with 5.5/12 (as this was a very strong tournament, this wasnt necessarily a bad result). There were plans for him to play a fourteen game match against Kasparov in Yalta in September 2003, the winner of which would go on to play the winner of a match between Vladimir Kramnik and P�ter L�k� as part of the so-called Prague Agreement to reunify the world chess championship (since 1993 there have been two world chess championships). However, this was called off after Ponomariov refused to sign his contract without reservation. He will remain FIDE champion until the winner of the Knock-Out World Championship has been determined at the end of 2003. On October 11, 2003, Ponomariov became the first high-profile player to default a game because of his mobile phone ringing during play. This happened in round one of the European Team Championship in Plovdiv, Bulgaria, when Ponomariov was playing black against Evgenij Agrest. In his games with white, Ponomariov has almost always played 1. e4 (see algebraic notation and chess opening), entering the main lines of the Ruy Lopez and Sicilian Defence. With black, he has played the Sicilian against 1. e4 and also replied 1... e5, going into the Ruy Lopez. Against 1. d4 he has adopted a variety of defences, including the Queens Gambit Accepted, the Queens Indian Defence and the Kings Indian Defence. Earlier in his career he experimented with the Benko Gambit and Pirc Defence, but as of 2003 these have fallen out of his repertoire. In the January 2005 F�d�ration Internationale des �checs Elo rating list, Ponomariov had a rating of 2700, making him number fifteen in the world and Ukrainian number two.
Preceded by:
Viswanathan Anand World chess champion
2002�2004 Followed by:
Rustam Kasimdzhanov

2006-02-14T13:14:00.000-08:00

Fong-Sai-Yuk

Fong Sai Yuk, also known as Fang Shi Yu in Mandarin or The Legend in North America, is a 1993 Hong Kong kung fu movie starring Jet Li and directed by Corey Yuen. It tells the tale of Fong Sai Yuk, a young kung-fu master who spends his days playing around with his friends instead of learning. He slowly comes to learn that his father is the head of the Red Flower Society, a group dedicated to bringing down the evil Chinese Emperor (one of the Chinese Triads). The rest of this film watches as Fong Sai Yuk matures into the legendary China warrior he comes to be. The film has strong comic elements and features Fong Sai Yuks mother as a main character. There is also a sequel.

2006-02-14T01:16:00.000-08:00

Love\'s-Sweet-Exile

Loves Sweet Exile
CD and vinyl record by Manic Street Preachers
From the album Generation Terrorists
Released October 29,1991
Recorded ???
Musical genre rock and roll
Length 3 minute 29 second
Record label Columbia Records
Record producer ???
Professional reviews
??
?? ???
Generation Terrorists track listing You Love Us (5) (January 16 1992) Loves Sweet Exile (6) (October 29 1992) Little Baby Nothing (7) (November 15 1992) Loves Sweet Exile was released by the Wales rock and roll band Manic Street Preachers on October 29 1992 and was the second single to be released from the Generation Terrorists February 10 1992 album.
It was released as a double a-side with Repeat (UK).
The CD and 12 included Democracy Coma whereas the 7 had no extra tracks.
The song reached number twenty-six in United Kingdom charts on November 9 1991 and was originally called Faceless Sense Of Void.

2006-02-13T13:13:00.000-08:00

Wymore,-Nebraska

Wymore is a city located in Gage County, Nebraska. As of the 2000 census, the city had a total population of 1,656.

Geography

Wymore is located at 40�722 North, 96�3956 West (40.122765, -96.665494) GR 1. According to the United States Census Bureau, the city has a total area of 4.9 square kilometer (1.9 square mile). 4.9 km� (1.9 mi�) of it is land and none of it is covered by water.

Demographics

As of the census GR 2 of 2000, there are 1,656 people, 713 households, and 444 families residing in the city. The population density is 334.8/km� (869.2/mi�). There are 776 housing units at an average density of 156.9/km� (407.3/mi�). The racial makeup of the city is 96.68% White (U.S. Census), 0.12% African American (U.S. Census), 1.51% Native American (U.S. Census), 0.42% Asian (U.S. Census), 0.12% Pacific Islander (U.S. Census), 0.18% from Race (U.S. Census), and 0.97% from two or more races. 1.27% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 713 households out of which 27.3% have children under the age of 18 living with them, 49.4% are Marriage living together, 9.0% have a female householder with no husband present, and 37.7% are non-families. 35.1% of all households are made up of individuals and 20.6% have someone living alone who is 65 years of age or older. The average household size is 2.25 and the average family size is 2.87. In the city the population is spread out with 23.8% under the age of 18, 7.0% from 18 to 24, 24.2% from 25 to 44, 19.7% from 45 to 64, and 25.4% who are 65 years of age or older. The median age is 42 years. For every 100 females there are 87.5 males. For every 100 females age 18 and over, there are 84.8 males. The median income for a household in the city is $25,947, and the median income for a family is $33,150. Males have a median income of $26,200 versus $18,800 for females. The per capita income for the city is $13,978. 13.8% of the population and 12.2% of families are below the poverty line. Out of the total population, 22.0% of those under the age of 18 and 7.3% of those 65 and older are living below the poverty line.

2006-02-13T01:14:00.000-08:00

Reisbach-(Saar)

Reisbach is a small town, belonging to the district of Saarlouis (district) in the States of Germany Saarland. The village was formed on April 1st, 1937, when the two townships of Reisweiler and Labach were joint together as Reisbach. Reisweiler was first mentioned as Radisville in 1154. The Germanic name Radi means father of the town council, which, together with the -ville suffix meaning farmland, yields the meaning of Reisweiler as Radis Farmland. The first written documentation about Labach stems from the 13th century, when it was known under the name Loupach or Loupbach. The name is composed from Loup meaning foliage (german Laub) and Bach meaning creek. The name of the consolidated village, thus means Radis Creek. Since January 1st, 1974, Reisbach forms the community of Saarwellingen (municipality), together with Saarwellingen (town) and Schwarzenholz (town) with a combined 14,000 inhabitants.

History

In 1212, Count Heinrich von Zweibr�cken gave his ownership of the villages Reisweiler and Labach to the convent Fraulautern. The knights Marsilius and Reiner and their relative Marsilius von Lisdorf donated their stake in the patronship to the Church of Reisweiler in 1237. Labach belonged to the lordship of Schwarzenholz, and thus the abbey of Fraulautern, until 1792, when the French Revolution changed everything. It also ended the ownership of the Grafschaft Saarbr�cken and the Lord of Hagen over Reisweiler.

Coat of Arms

The coat of arms resembles the rulerships over the two villages: The base is the coat of arms of the Lords of Saarbr�cken (Lisdorf), the diagonal bar, while the red and gold colors stem from the coat of arms of the Lords of Zweibr�cken. The two fields formed by the diagonal bar stand for the two villages which form Reisbach: the upper field for Labach, with the crossed circle of the abbey of Fraulautern, the lower field for Reisweiler, with the cross of the Lords of Bolchen.

Reisbach was given the right to bear a coat of arms on May 11th, 1964.

2006-02-12T13:12:00.000-08:00

Brackenridge,-Pennsylvania

Brackenridge is a borough located in Allegheny County, Pennsylvania. As of the 2000 census, the borough had a total population of 3,543.

Geography

Brackenridge is located at 40�3630 North, 79�4432 West (40.608403, -79.742346) GR 1. According to the United States Census Bureau, the borough has a total area of 1.4 square kilometer (0.6 square mile). 1.3 km� (0.5 mi�) of it is land and 0.1 km� (0.04 mi�) of it is water. The total area is 7.27% water.

Demographics

As of the census GR 2 of 2000, there are 3,543 people, 1,507 households, and 931 families residing in the borough. The population density is 2,682.3/km� (6,924.2/mi�). There are 1,700 housing units at an average density of 1,287.0/km� (3,322.4/mi�). The racial makeup of the borough is 95.03% White (U.S. Census), 3.44% African American (U.S. Census), 0.11% Native American (U.S. Census), 0.23% Asian (U.S. Census), 0.03% Pacific Islander (U.S. Census), 0.37% from Race (U.S. Census), and 0.79% from two or more races. 0.54% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 1,507 households out of which 24.6% have children under the age of 18 living with them, 43.9% are Marriage living together, 13.6% have a female householder with no husband present, and 38.2% are non-families. 34.2% of all households are made up of individuals and 17.3% have someone living alone who is 65 years of age or older. The average household size is 2.28 and the average family size is 2.91. In the borough the population is spread out with 20.5% under the age of 18, 7.2% from 18 to 24, 28.1% from 25 to 44, 22.0% from 45 to 64, and 22.3% who are 65 years of age or older. The median age is 41 years. For every 100 females there are 80.7 males. For every 100 females age 18 and over, there are 78.3 males. The median income for a household in the borough is $30,050, and the median income for a family is $41,803. Males have a median income of $30,661 versus $21,821 for females. The per capita income for the borough is $19,040. 9.4% of the population and 6.8% of families are below the poverty line. Out of the total population, 15.9% of those under the age of 18 and 9.9% of those 65 and older are living below the poverty line.

2006-02-12T01:15:00.000-08:00

Dalezy

Dalezy is one of the stage names of Ronny Engmann (these days better known as Rengmann). He is a Chiptune-, Electronica- Intelligent dance music- and Dark ambient-Artist since the early 1990s. Rengmann has been in the demoscene for more than a decade, having made music using the various monikers Dalezy, The Unconsciousness and Animal on C64, Amiga and IBM PC for groups such as Scoopex, Rebels, Creators, Superior Art Creations, Radical Rhythms and countless other teams which are mentioned in his numerous releases. Next to his demoscene activities, Rengmann has released a humble amount of music on different record label. Other projects next to Dalezy include Rngmnn, former projects that are worth to mention are Synth Ethic (with an appearance on Micromusics first release micro-superstarz 2000) and Knarkhora Irma.

Glenferrie-railway-station,-Melbourne

Glenferrie is a Train station (station code: GFE) in Melbourne, Victoria (Australia), Australia. It is located on the Lilydale railway line, Melbourne, Belgrave railway line, Melbourne, and Alamein railway line, Melbourne lines, at Glenferrie Road and Railway Arcade in the suburb of Hawthorn, Victoria. It is 6.9 Kilometre from Flinders Street Station, the center of the citys List of Melbourne railway stations, and in Metcard ticketing Zone 1. Glenferrie is a premium station, meaning that it is staffed from first to last train, and has extra customer services available. The station provides direct access to Swinburne University of Technologys Glenferrie campus. The current station was constructed in 1916, following the raising of the railway line over Glenferrie Road. MelbourneStations Line Lilydale railway line, Melbourne, Belgrave railway line, Melbourne, Alamein railway line, Melbourne lines Previous Hawthorn Here Glenferrie Next Auburn melstub

2006-02-11T01:14:00.000-08:00

Mudkids

Mudkids, underground Hip-Hop Group hailing from Indianapolis, Indiana consisting of MC Choch AKA Rusty Reddinbaucher, and Dj Elp-Mass. First came into the hip-hop scene with their debut album 4trackmind in 1998, which blended smart lyrics with jazz influenced beats. The album was reminisent of A Tribe Called Quests early works, but with a Midwest style, only the Mudkids could bring. Such tracks as Fool, Rap Can Do, and Freekya stand out. Fool is possibly the best hip-hop love song ever written. Two years later Mudkids released the Upward LP. With a newer sound, and progressivley better flows and overall songs from the last album. Standouts include Mudslidin feat Origin@l, and 1000000 + 1. The punchlines and clever style of the Mudkids shine through on the Upward LP. In 2001 they released their last album Higher. Mudkids put Indiana on the map for hip-hop and created an actual scene in the Indianapolis area.

2006-02-10T13:13:00.000-08:00

Reinforcement-learning

The Reinforcement Learning Problem

A class of problems in machine learning which postulate an agent exploring an environment in which the agent perceives its current state and takes actions. The environment, in return, provides a reward (which can be positive or negative). Reinforcement learning algorithms attempt to find a policy for maximizing cumulative reward for the agent over the course of the problem. The environment is typically formulated as a finite-state Markov decision process (MDP), and reinforcement learning algorithms for this context are highly related to dynamic programming techniques. State transition probabilities and reward probabilities in the MDP are typically stochastic but stationary over the course of the problem. Reinforcement learning differs from the supervised learning problem in that correct input/output pairs are never presented, nor sub-optimal actions explicitly corrected. Further, there is a focus on on-line performance, which involves finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge). Formally, the basic reinforcement learning model consists of: a set of environment states S, a set of actions A, and a set of scalar rewards in R. At each time t, the agent perceives its state s_tS and the set of possible actions A(s_t. It chooses an action aA(s_t and receives from the environment the new state s_t+1 and a reward r_t+1 Based on these interactions, the reinforcement learning agent must develop a policy SA which maximizes the quantity R r₀r₁...+r_n for MDPs which have a terminal state, or the quantity R S_tG^tr_t for MDPs without terminal states (where G is some future reward discounting factor between 0.0 and 1.0). Thus, reinforcement learning is particularly well suited to problems which include a long-term versus short-term reward tradeoff. It has been applied successfully to various problems, including robot control, elevator scheduling, telecommunications, backgammon and chess.

Algorithms

After we have defined an appropriate return function to be maximised, we need to specify the algorithm that will be used to find the policy with the maximum return. There are two main approaches, the value function approach and the direct approach. Brute force is not used, as it entails the following two steps: a) For each possible policy, sample returns while following it. b) Choose the policy with the largest expected return. The first problem is that the number of policies can be extremely large, or even infinite. The second is that returns might be stochastic, in which case a large number of samples will be required to accurately estimate the return of each policy. These problems might be ameliorated if we assume some structure in the problem and somehow allow samples generated from one policy to influence the estimates made for another. Value function approaches do this by only maintaining a set of estimates of expected returns for one policy (usually either the current or the optimal one). In such approaches one attempts to estimate either the expected return starting from states and following thereafter, V(s) E Rs, or the expected return when taking action a in states and following thereafter, Q(s,a) E Rs,a,. It is easy to see why, if someone gives us Q for the optimal policy, we can always choose optimal actions by simply choosing the action with the highest value at each state. In order to do this using V, we must either have a model of the environment, in the form of probabilities P(ss,a), which allow us to calulate Q simply through

Q(s,a) sum-{s} V(s)P(ss,a),

or we can employ so-called Actor-Critic methods, in which the model is split into two parts: the critic, which maintains the state value estimate V, and the actor, which isresponsible for choosing the appropriate actions at each state. Given a fixed policy, Estimating E R. for G 0 is trivial, as one only has to average the immediate rewards. The most obvious way to do this for G>0 is to average the total return after each state. However this type of Monte Carlo sampling requires the MDP to terminate. Thus carrying out this estimation for

gamma>0

in the general does not seem obvious. In fact, it is quite simple once one realises that the expectation of R forms a recursive Bellman equation:

E R s-t r-t + gamma E R s-{t+1}

By replacing those expectations with our estimates, V, and performing gradient descent with a squared error cost function, we obtain the temporal difference learning algorithm TD(0). In the simplest case, the set of states and actions are both discrete and we maintain tabular estimates for each state. Similar state-action pair methods are SARSA and Q-learning. All methods feature extensions whereby some approximating architecture is used, though in some cases convergence is not guaranteed. The estimates are usually updated with some form of gradient descent, though there have been recent developments with least-squares methods for the linear approximation case. Perhaps surprisingly, all the above methods not only converge to the correct estimates for a fixed policy, but can also be used to find the optimal policy. This is usually done by following a policy that is somehow derived from the current value estimates, i.e. by choosing the action with the highest evaluation most of the time, while still occassionally taking random actions in order to explore the space. Proofs for convergence to the optimal policy also exist for the algorithms mentioned above, under certain conditions. However, all those proofs only demonstrate asymptotic convergence and little is known theoretically about the behaviour of RL algorithms in the small-sample case, apart from within very restricted settings. An alternative method to find the optimal policy is to search directly in policy space. Policy space methods define the policy as a parametrised function (s,T) with parameters T. Commonly, a gradient method is employed to adjust the parameters. However, the application of gradient methods is not trivial, since no gradient information is assumed. Rather, the gradient itself must be estimated from noisy samples of the return. Since this greatly increases the computational cost, it can be advantageous to use a more powerful gradient method than steepest gradient descent. Policy space gradient methods have received a lot of attention in the last 5 years and have now reached a relatively mature stage, but they remain an active field.

Current Research

As far as I am aware, current research topics include: Alternative representations (such as the Predictive State Representation approach), gradient descent in policy space, small-sample convergence results, algorithms and convergence results for partially observable MDPs, modular and hierarchical reinforcement learning.

References

Leslie Kaelbling, Michael Littman, Andrew Moore. Reinforcement Learning: A Survey. Journal of Artificial Intelligence Research 4 (1996) pp. 237�285. (CiteSeer reference) Richard Sutton and Andrew Barto. Reinforcement Learning. MIT Press, 1998. (available online) Dimitri P. Bertsekas and John Tsitsiklis. Neuro-Dynamic Programming. Athena Scientific, 1996. User:Olethros 20:30, 3 Jan 2005 (UTC)

2006-02-10T01:14:00.000-08:00

Louis-Harold-Gray

awaiting copyright information > Louis Harold Gray (10 November 1905 - 9 July 1965) was a Britain physicist who worked mainly on the effects of radiation on biological systems, inventing the field of radiobiology as he went. A summary of his work is given below. Amongst many other achievements, he defined a unit of radiation dosage which was later named after him as an SI unit, the Gray (unit).

Summary of Career

1933 Hospital physicist at Mount Vernon, London Hospital, London
1936 Developed the William Bragg-Gray equation, the basis for the cavity ionization method of measuring gamma-ray energy absorption by materials
1937 Built an early neutron generator at Mount Vernon used
1938 Studied biological effects of neutrons using the generator
1940 Developed concept of RBE (Relative Biological Effectiveness) of doses of neutrons
1952 Initiated research into cell (biology) in hypoxic tumors and Hyperbaric oxygen therapy
1953 Set up Gray Laboratory at Mount Vernon Hospital
1953 - 1960 Under Gray�s direction, Jack W. Boag developed pulse radiolysis
1962 Ed Hart (ANL) and Boag discovered the hydrated electron using pulse radiolysis at Gray Lab This discovery initiated an new direction for chemistry research that is still very active today and is vital for understanding of the effects of radiation on biological tissue, for instance in Radiation therapy.

2006-02-09T13:13:00.000-08:00

Maynardville,-Tennessee

Maynardville is a city located in Union County, Tennessee. As of the 2000 census, the city had a total population of 1,782. It is the county seat of Union County, Tennessee GR 6. Maynardville was the birthplace of country singer Roy Acuff.

Geography

Maynardville is located at 36�1445 North, 83�4826 West (36.245932, -83.807214) GR 1. According to the United States Census Bureau, the city has a total area of 14.0 square kilometer (5.4 square mile). 14.0 km� (5.4 mi�) of it is land and none of the area is covered with water.

Demographics

As of the census GR 2 of 2000, there are 1,782 people, 683 households, and 463 families residing in the city. The population density is 127.4/km� (330.1/mi�). There are 769 housing units at an average density of 55.0/km� (142.4/mi�). The racial makeup of the city is 98.37% White (U.S. Census), 0.17% African American (U.S. Census), 0.06% Native American (U.S. Census), 0.11% Asian (U.S. Census), 0.00% Pacific Islander (U.S. Census), 0.00% from Race (U.S. Census), and 1.29% from two or more races. 0.34% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 683 households out of which 37.0% have children under the age of 18 living with them, 49.9% are Marriage living together, 14.9% have a female householder with no husband present, and 32.1% are non-families. 28.8% of all households are made up of individuals and 10.8% have someone living alone who is 65 years of age or older. The average household size is 2.46 and the average family size is 3.03. In the city the population is spread out with 26.9% under the age of 18, 8.0% from 18 to 24, 32.7% from 25 to 44, 18.6% from 45 to 64, and 13.9% who are 65 years of age or older. The median age is 34 years. For every 100 females there are 93.1 males. For every 100 females age 18 and over, there are 90.1 males. The median income for a household in the city is $23,077, and the median income for a family is $30,398. Males have a median income of $25,278 versus $18,603 for females. The per capita income for the city is $12,168. 26.4% of the population and 20.2% of families are below the poverty line. Out of the total population, 34.8% of those under the age of 18 and 32.9% of those 65 and older are living below the poverty line.

2006-02-09T01:16:00.000-08:00

Highland,-Maine

Highland is a plantation located in Somerset County, Maine. As of the 2000 census, the plantation had a total population of 52.

Geography

According to the United States Census Bureau, the plantation has a total area of 108.9 square kilometer (42.0 square mile). 108.8 km� (42.0 mi�) of it is land and 0.1 km� (0.04 mi�) of it is water. The total area is 0.05% water.

Demographics

As of the censusGeographic references 2 of 2000, there are 52 people, 24 households, and 16 families residing in the plantation. The population density is 0.5/km� (1.2/mi�). There are 56 housing units at an average density of 0.5/km� (1.3/mi�). The racial makeup of the plantation is 100.00% White (U.S. Census), 0.00% African American (U.S. Census), 0.00% Native American (U.S. Census), 0.00% Asian (U.S. Census), 0.00% Pacific Islander (U.S. Census), 0.00% from Race (U.S. Census), and 0.00% from two or more races. 0.00% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 24 households out of which 16.7% have children under the age of 18 living with them, 62.5% are Marriage living together, 0.0% have a female householder with no husband present, and 33.3% are non-families. 33.3% of all households are made up of individuals and 29.2% have someone living alone who is 65 years of age or older. The average household size is 2.17 and the average family size is 2.69. In the plantation the population is spread out with 17.3% under the age of 18, 0.0% from 18 to 24, 13.5% from 25 to 44, 36.5% from 45 to 64, and 32.7% who are 65 years of age or older. The median age is 53 years. For every 100 females there are 73.3 males. For every 100 females age 18 and over, there are 72.0 males. The median income for a household in the plantation is $27,917, and the median income for a family is $27,917. Males have a median income of $14,167 versus $21,250 for females. The per capita income for the plantation is $10,038. 34.8% of the population and 23.5% of families are below the poverty line. Out of the total population, 56.5% of those under the age of 18 and 25.0% of those 65 and older are living below the poverty line. Maine

2006-02-08T13:12:00.000-08:00

Hans-Gunnar-Liljenwall

Hans-Gunnar Liljenwall is a Sweden Modern pentathlon who caused the disqualification of the Swedish mens team at the 1968 Summer Olympics held in Mexico City for his alcohol use. Liljenwall was the first athlete to be disqualified at the Olympics for drug use, following the introduction of anti-doping regulations by the International Olympic Committee in 1967. Liljenwall reportedly had two beers to calm his nerves before the pistol shooting portion of the modern pentathlon. The Swedish team eventually had to return their bronze medals. At the 1972 Summer Olympics held in Munich, 14 modern pentathletes tested positive for tranquilizers before the pistol shooting event. However, although the drugs were banned by the sports governing body, the International Modern Pentathlon Union, they were not on the IOCs list of banned substances and no disqualifications were made.

Reference

F16&id 98F7A&mid 200..expand& Sveriges Olympiska Kommitt� - Mexico City 1968

2006-02-08T01:12:00.000-08:00

Port-Costa,-California

Port Costa is a census-designated place located in Contra Costa County, California. As of the 2000 census, the CDP had a total population of 232.

Geography

Port Costa is located at 38�246 North, 122�117 West (38.045987, -122.185246) GR 1. According to the United States Census Bureau, the CDP has a total area of 1.8 square kilometer (0.7 square mile). 1.8 km� (0.7 mi�) of it is land and none of it is covered by water.

Demographics

As of the census GR 2 of 2000, there are 232 people, 108 households, and 60 families residing in the CDP. The population density is 131.7/km� (342.1/mi�). There are 115 housing units at an average density of 65.3/km� (169.6/mi�). The racial makeup of the CDP is 90.95% Race (U.S. census), 0.00% Race (U.S. census) or Race (U.S. census), 1.29% Race (U.S. census), 1.29% Race (U.S. census), 0.00% Race (U.S. census), 1.72% from race (U.S. census), and 4.74% from two or more races. 6.90% of the population are Race (U.S. census) or Race (U.S. census) of any race. There are 108 households out of which 20.4% have children under the age of 18 living with them, 46.3% are Marriage living together, 3.7% have a female householder with no husband present, and 44.4% are non-families. 34.3% of all households are made up of individuals and 8.3% have someone living alone who is 65 years of age or older. The average household size is 2.15 and the average family size is 2.80. In the CDP the population is spread out with 15.5% under the age of 18, 4.7% from 18 to 24, 28.0% from 25 to 44, 37.5% from 45 to 64, and 14.2% who are 65 years of age or older. The median age is 46 years. For every 100 females there are 121.0 males. For every 100 females age 18 and over, there are 110.8 males. The median income for a household in the CDP is $61,429, and the median income for a family is $61,429. Males have a median income of $40,769 versus $58,000 for females. The per capita income for the CDP is $33,563. 10.7% of the population and 9.7% of families are below the poverty line. Out of the total population, 27.9% of those under the age of 18 and 0.0% of those 65 and older are living below the poverty line.

2006-02-07T13:12:00.000-08:00

Storage

Storage is the at least semi-permanent holding of an amount of something. A storage device is an apparatus for holding things. Another general term, is container. Depending on context it may have a more specific meaning. A Tank (disambiguation) is a container for liquid, e.g. water or petroleum. Storage furniture includes:
bookcase
Cabinet (furniture)
Chest (furniture)
cupboard
desk (also serves as table (furniture))
sideboard/hutch
wardrobe For cool storage a Refrigeration is used. A closet is something between a piece of furniture and a room. Storage buildings include a warehouse and a depot. One form of waste management is storing the waste. See e.g. dry cask storage. More abstractly:
In physics, a capacitor is said to store electric charge.
Books are said to store knowledge, or even wisdom.
Storage of information in memory, also, computers, hard drives and random access memory are said to store information, see Computer storage). See also hoarding.

2006-02-07T01:12:00.000-08:00

The-Learning-Tree

The Learning Tree is a 1969 in film film which tells the story of a young African American growing up in a rural setting in the early part of the 20th century, when racial discrimination was a social norm, legally sanctioned in parts of the United States. It stars Kyle Johnson, playing Newton Winger, Alex Clarke, Marcus, Estelle Evans, Dana Elcar and Mira Waters. The movie was written and directed by Gordon Parks, in adaptation from his novel. This was the first major studio feature film directed by an African-American. The film has been deemed culturally significant by the Library of Congress and selected for preservation in the United States National Film Registry. mov-stub

2006-02-06T13:12:00.000-08:00

Failure-(band)

Failure (1990-1997)

A Space rock band formed around 1990, founded by Ken Andrews (Vocalist, Guitarist and Songwriter), Greg Edwards (Bassist, Songwriter), and (Drummer) Robert Gauss. Ken Andrews and Greg Edwards met one another through classified ad in Los Angeles. From there the two started recording four track demos and playing gigs around LA with Gauss. Just over a year after forming, Failure was signed to Slash Records, a Warner Brothers imprint label, around 1991. After the release of Comfort (1992), Drummer Robert Gauss left the band. Kelii Scott was brought in to finish up drumming duties on the bands sophomore effort Magnified (1994). Following the release of Magnified, Failure went on tour with fellow rockers Tool-%28band%29. The bands third and final album Fantastic Planet (1996) was released after a year and a half delay. Troy Van Leeuwen joined the band as lead guitarist when the band toured to support Fantastic Planet. Of note, Failure joined the Lollapalooza tour in 1997, playing the main stage. Also in 1997, they recorded a cover of Depeche Modes Enjoy The Silence for a tribute album, For the Masses. At some point during 1997, the band decide to come to an end. In part due to poor support from the label, the delay in release of Fantastic Planet, and substance abuse. Though largely forgotten today, they scored a low level alt. rock hit with their single Stuck On You off of Fantastic Planet. The band remains very influential among other bands and musicians through the legacy of Failure, and through the band members other projects. While never gaining wide-spread fame, they garnered high critical praise through out their seven year career. In the year of 2004, Edwards and Andrews released a CD/DVD set entitled Golden. This collection of B-sides includes a complete set of their music videos and live concert footage. Also featured was a 40-minute long documentary that details the history of the band along with some behind-the-scenes footage of the band members.

Discography

Comfort (1992)

Engineered by Steve Albini Ken Andrews (Vocals / Lead Guitar) Greg Edwards (Bass Guitar) Robert Gauss (Drums)

Magnified (1994)

Produced by Failure Recorded by Paul Lani Mixed by David Bianco and Ken Andrews Ken Andrews (Vocals / Lead Guitar) Greg Edwards (Bass Guitar / Drums)

Fantastic Planet (1996)

Produced by Failure Engineered by Ken Andrews Ken Andrews (Vocals / Guitar) Greg Edwards (Bass Guitar / Guitar / Percussion / Piano) Kellii Scott (Drums)

Where Are They Now?

Ken Andrews has moved on to be a well known producer, mixer, and engineer. He has also remained active creatively, starting two new projects: ON - which is a solo endeavor, and Year of the Rabbit - an alternative rock band comprised of Tim Dow (Drums, Background Vocals), Jeff Garber (Lead guitar, background vocals) and Solomon Synder (Bass Guitar, Background Vocals) as well as Andrews (lead vocals, rhythm guitar). Troy Van Leeuwen played with A Perfect Circle, who covered Failures The Nurse Who Loved Me on their album Thirteenth Step. Troy is currently a member of Queens of the Stone Age, who have an album forthcoming in early 2005. Greg Edwards is the guitarist and one of the vocalists of the art rock band Autolux, who released their debut album, Future Perfect, on October 26th, 2004 to general critical praise. Kellii Scott was a member of Blinker the Star and is now reportedly the new drummer for Campfire Girls. He remains a very active musician.

2006-02-06T01:12:00.000-08:00

A113

A113 is an inside joke seen in animation films created by alumni of CalArts, referring to the classroom number used by animation students at the school. Brad Bird first used it for a license plate number in the Amazing Stories episode Family Dog. It has since appeared in other The Walt Disney Company and Pixar movies. Bird has said I put it into every single one of my films, including my The Simpsons episodes � its sort of my version of Al Hirschfelds Nina.

A113 sightings

A Bugs Life - Code on cereal box as Flik enters the big city
Finding Nemo - Model code on camera used by scuba diver
The Incredibles - Room number in Syndromes lair
Lilo & Stitch - License plate number on all vehicles, including Cobra Bubbles rental car, Nanis car, fire truck, tanker truck, and license plate in Lilos room (used in Stitchs model of San Francisco)
Toy Story - License on minivan
Toy Story 2 - Airport announcement for Lasset Air Flight A113, also a reference to director John Lasseter.

References

Salon interview with Brad Bird

2006-02-05T13:10:00.000-08:00

Yiewsley

Borough of Hillingdon Hillingdon
Administrative counties of England: Greater London
Regions of England: Greater London
Home Nations: England
Other
Ceremonial counties of England: Greater London
Traditional counties of England: Middlesex
Postal counties of Great Britain: Middlesex
Yiewsley is a place in the London Borough of Hillingdon. Nearest places:
Cowley
Sipson
Hayes
Harmondsworth
Harlington Nearest railway stations:
Iver railway station
West Drayton railway station

2006-02-05T01:12:00.000-08:00

Reading,-Vermont

Reading is a town located in Windsor County, Vermont. As of the 2000 census, the town had a total population of 707.

Geography

According to the United States Census Bureau, the town has a total area of 107.9 square kilometer (41.7 square mile). 107.5 km� (41.5 mi�) of it is land and 0.4 km� (0.2 mi�) of it is water. The total area is 0.41% water.

Demographics

As of the censusGeographic references 2 of 2000, there are 707 people, 286 households, and 203 families residing in the town. The population density is 6.6/km� (17.0/mi�). There are 407 housing units at an average density of 3.8/km� (9.8/mi�). The racial makeup of the town is 98.44% White (U.S. Census), 0.42% African American (U.S. Census), 0.00% Native American (U.S. Census), 0.14% Asian (U.S. Census), 0.00% Pacific Islander (U.S. Census), 0.00% from Race (U.S. Census), and 0.99% from two or more races. 0.99% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 286 households out of which 29.4% have children under the age of 18 living with them, 59.4% are Marriage living together, 8.7% have a female householder with no husband present, and 28.7% are non-families. 22.0% of all households are made up of individuals and 9.1% have someone living alone who is 65 years of age or older. The average household size is 2.47 and the average family size is 2.87. In the town the population is spread out with 24.0% under the age of 18, 4.5% from 18 to 24, 28.1% from 25 to 44, 28.4% from 45 to 64, and 14.9% who are 65 years of age or older. The median age is 41 years. For every 100 females there are 89.5 males. For every 100 females age 18 and over, there are 92.5 males. The median income for a household in the town is $44,306, and the median income for a family is $48,636. Males have a median income of $32,202 versus $25,000 for females. The per capita income for the town is $20,504. 8.1% of the population and 6.2% of families are below the poverty line. Out of the total population, 5.4% of those under the age of 18 and 6.2% of those 65 and older are living below the poverty line.

2006-02-04T13:11:00.000-08:00

Buena-Vista,-Portage-County,-Wisconsin

Buena Vista is a town located in Portage County, Wisconsin. As of the 2000 census, the town had a total population of 1,187.

Geography

According to the United States Census Bureau, the town has a total area of 158.9 square kilometer (61.4 square mile). 158.8 km� (61.3 mi�) of it is land and 0.1 km� (0.04 mi�) of it is water. The total area is 0.07% water.

Demographics

As of the censusGeographic references 2 of 2000, there are 1,187 people, 418 households, and 318 families residing in the town. The population density is 7.5/km� (19.4/mi�). There are 446 housing units at an average density of 2.8/km� (7.3/mi�). The racial makeup of the town is 98.48% White (U.S. Census), 0.08% African American (U.S. Census), 0.34% Native American (U.S. Census), 0.25% Asian (U.S. Census), 0.00% Pacific Islander (U.S. Census), 0.34% from Race (U.S. Census), and 0.51% from two or more races. 1.26% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 418 households out of which 38.5% have children under the age of 18 living with them, 66.0% are Marriage living together, 5.5% have a female householder with no husband present, and 23.7% are non-families. 17.0% of all households are made up of individuals and 4.5% have someone living alone who is 65 years of age or older. The average household size is 2.84 and the average family size is 3.22. In the town the population is spread out with 28.3% under the age of 18, 8.0% from 18 to 24, 30.4% from 25 to 44, 24.3% from 45 to 64, and 8.9% who are 65 years of age or older. The median age is 36 years. For every 100 females there are 109.0 males. For every 100 females age 18 and over, there are 107.6 males. The median income for a household in the town is $46,920, and the median income for a family is $49,519. Males have a median income of $31,908 versus $22,614 for females. The per capita income for the town is $18,775. 5.9% of the population and 4.7% of families are below the poverty line. Out of the total population, 6.3% of those under the age of 18 and 17.3% of those 65 and older are living below the poverty line.

2006-02-04T01:10:00.000-08:00

Demorest,-Georgia

Demorest is a city located in Habersham County, Georgia. As of the 2000 census, the city had a total population of 1,465.

Geography

Demorest is located at 34�3354 North, 83�3238 West (34.564948, -83.543920) GR 1. According to the United States Census Bureau, the city has a total area of 6.0 square kilometer (2.3 square mile). 5.9 km� (2.3 mi�) of it is land and 0.1 km� (0.04 mi�) of it is water. The total area is 0.87% water.

Demographics

As of the census GR 2 of 2000, there are 1,465 people, 498 households, and 292 families residing in the city. The population density is 249.2/km� (644.4/mi�). There are 564 housing units at an average density of 95.9/km� (248.1/mi�). The racial makeup of the city is 92.70% White (U.S. Census), 3.96% African American (U.S. Census), 0.55% Native American (U.S. Census), 0.61% Asian (U.S. Census), 0.07% Pacific Islander (U.S. Census), 1.77% from Race (U.S. Census), and 0.34% from two or more races. 3.34% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 498 households out of which 23.7% have children under the age of 18 living with them, 43.2% are Marriage living together, 12.9% have a female householder with no husband present, and 41.2% are non-families. 36.9% of all households are made up of individuals and 14.5% have someone living alone who is 65 years of age or older. The average household size is 2.12 and the average family size is 2.77. In the city the population is spread out with 15.1% under the age of 18, 28.6% from 18 to 24, 21.4% from 25 to 44, 17.6% from 45 to 64, and 17.3% who are 65 years of age or older. The median age is 32 years. For every 100 females there are 84.5 males. For every 100 females age 18 and over, there are 80.6 males. The median income for a household in the city is $31,382, and the median income for a family is $39,917. Males have a median income of $29,485 versus $24,861 for females. The per capita income for the city is $14,981. 12.2% of the population and 7.8% of families are below the poverty line. Out of the total population, 17.2% of those under the age of 18 and 7.2% of those 65 and older are living below the poverty line. Demorest is also the home of Piedmont College.

2006-02-03T13:10:00.000-08:00

Meanings-of-asteroid-names-(501-1000)

This is a list of the sources of asteroid names. Those meanings marked with an asterisk are guesswork, and should be checked against Lutz D. Schmadels Dictionary of Minor Planet Names to ensure that the identification is correct.

501-600

Name Provisional
Designation Named after
501 Urhixidur 1903 LB Character in Friedrich Theodor Vischers novel Auch Einer
502 Sigune 1903 LC Character in Friedrich Theodor Vischers novel Auch Einer
503 Evelyn 1903 LF Evelyn Smith Dugan, the discoverers mother
504 Cora 1902 LK Cora (mythology), figure in Inca mythology
505 Cava 1902 LL Cava (mythology), figure in Inca mythology
506 Marion 1903 LN Marion Orcutt, the discoverers cousin
507 Laodica 1903 LO Laodica, Trojan princess
508 Princetonia 1903 LQ Princeton University
509 Iolanda 1903 LR Unknown
510 Mabella 1903 LT Mabel Loomis Todd, wife of David Peck Todd (see below)
511 Davida 1903 LU David Peck Todd, astronomer
512 Taurinensis 1903 LV Turin, Italy
513 Centesima 1903 LY 100 (the discoverers 100th asteroid)
514 Armida 1903 MB Character in Christoph Willibald Glucks opera Armide
515 Athalia 1903 ME Athalia, Biblical queen
516 Amherstia 1903 MG Amherst College
517 Edith 1903 MH Edith Dugan Eveleth, the discoverers sister
518 Halawe 1903 MO Halawe, type of Arabic sweetmeat
519 Sylvania 1903 MP Forests
520 Franziska 1903 MV Unknown
521 Brixia 1904 NB Latin for Brescia, Italy
522 Helga 1904 NC Unknown
523 Ada 1904 ND Ada Helme, friend of the discoverer
524 Fidelio 1904 NN Leonoras pseudonym in Ludwig van Beethovens opera Fidelio
525 Adelaide 1908 EKa Adelaide of Saxe-Meiningen, consort to King William IV
526 Jena 1904 NQ Jena, Germany
527 Euryanthe 1904 NR Character in Carl Maria von Webers opera Euryanthe
528 Rezia 1904 NS Character in Carl Maria von Webers opera Oberon (opera)
529 Preziosa 1904 NT Character in Carl Maria von Webers opera Preziosa
530 Turandot 1904 NV Character in Giacomo Puccinis opera Turandot
531 Zerlina 1904 NW Character in Wolfgang Amadeus Mozarts opera Don Giovanni
532 Herculina 1904 NY Unknown
533 Sara 1904 NZ A friend of the discoverer
534 Nassovia 1904 OA Latin for Nassau Hall, Princeton University
535 Montague 1904 OC Montague, Massachusetts, USA
536 Merapi 1904 OF Mount Merapi, Sumatra
537 Pauly 1904 OG Max Pauly, lens grinder
538 Friederike 1904 OK Friend of the discoverer
539 Pamina 1904 OL Character in Mozarts opera The Magic Flute
540 Rosamunde 1904 ON Character in Schuberts opera Rosamunde
541 Deborah 1904 OO Deborah, Biblical prophetess
542 Susanna 1904 OQ Friend of the discoverer
543 Charlotte 1904 OT Friend of the discoverer
544 Jetta 1904 OU Jetta, legendary figure of Heidelberg
545 Messalina 1904 OY Messalina, Roman empress
546 Herodias 1904 PA Herodias, Biblical princess
547 Praxedis 1904 PB Character in Victor von Scheffels Ekkehard
548 Kressida 1904 PC Cressida, Trojan princess
549 Jessonda 1904 PK Character in Ludwig Spohrs opera Jessonda
550 Senta 1904 PL Character in Richard Wagners opera The Flying Dutchman (?)
551 Ortrud 1904 PM Character in Richard Wagners opera Lohengrin
552 Sigelinde 1904 PO Character in Richard Wagners opera Die Walk�re
553 Kundry 1904 PP Character in Richard Wagners opera Parsifal
554 Peraga 1905 PS Peraga, Italy
555 Norma 1905 PT Character in Vincenzo Bellinis opera Norma (opera)
556 Phyllis 1905 PW Phyllis, mythological Greek princess
557 Violetta 1905 PY Character in Giuseppe Verdis opera La Traviata
558 Carmen 1905 QB Character in Georges Bizets opera Carmen
559 Nanon 1905 QD Nanon, operetta by Richard Gen�e
560 Delila 1905 QF Delilah, Biblical character
561 Ingwelde 1905 QG Ingwelde, opera by Max von Schillings (?)
562 Salome 1905 QH Salom�, Biblical daughter of Herod the Great
563 Suleika 1905 QK Character in Friedrich Nietzsches Also sprach Zarathustra
564 Dudu 1905 QM Character in Friedrich Nietzsches Also sprach Zarathustra
565 Marbachia 1905 QN Marbach, town in Germany
566 Stereoskopia 1905 QO The Blink comparator, astronomical device use in asteroid hunting
567 Eleutheria 1905 QP Eleutheria, Greek goddess of liberty
568 Cheruskia 1905 QS Cheruskia, student fraternity at Ruprecht Karl University of Heidelberg
569 Misa 1905 QT Misa, goddess in the Orphic Mysteries
570 Kythera 1905 QX Kythira, Greek island
571 Dulcinea 1905 QZ Dulcinea, character in Cervantes novel Don Quixote
572 Rebekka 1905 RB A young woman from Heidelberg
573 Recha 1905 RC Character in Gotthold Ephraim Lessings play Nathan der Weise
574 Reginhild 1905 RD Unknown
575 Renate 1905 RE Unknown
576 Emanuela 1905 RF A friend of the discoverer
577 Rhea 1905 RH Rhea (mythology), mythological Greek Titaness
578 Happelia 1905 RZ Carl Happel, painter
579 Sidonia 1905 SD Character in Armida, opera by Christoph Willibald Gluck
580 Selene 1905 SE Selene, Greek goddess
581 Tauntonia 1905 SH Taunton, Massachusetts, USA
582 Olympia 1906 SO Olympia, Greece
583 Klotilde 1905 SP Daughter of astronomer Hofrat Edmund Weiss
584 Semiramis 1906 SY Semiramis of Babylon, Assyrian princess
585 Bilkis 1906 TA Quran name for the Queen of Sheba
586 Thekla 1906 TC Saint Thekla (?)
587 Hypsipyle 1906 TF Hypsipyle, mythological Greek queen
588 Achilles 1906 TG Achilles, mythological Greek warrior
589 Croatia 1906 TM Croatia, country
590 Tomyris 1906 TO Tomryis, Queen of the Massagetae
591 Irmgard 1906 TP Unknown
592 Bathseba 1906 TS Bathsheba, wife of King David
593 Titania 1906 TT Titania, folkloric queen of the fairies
594 Mireille 1906 TW Miereille, poem by Fr�d�ric Mistral
595 Polyxena 1906 TZ Polyxena, mythological Trojan princess
596 Scheila 1906 UA An English student at Heidelberg University, a friend of the discoverer
597 Bandusia 1906 UB Bandusia, fountain near Polezzo, Apulia, Italy
598 Octavia 1906 UC Octavia, Roman noblewoman
599 Luisa 1906 UJ Unknown
600 Musa 1906 UM The Greek Muses

601-700

Name Provisional
Designation Named after
601 Nerthus 1906 UN Nerthus, Germanic goddess
602 Marianna 1906 TE Unknown
603 Timandra 1906 TJ Timandra, mythological Greek woman
604 Tekmessa 1906 TK Tecmessa, mythological Greek woman
605 Juvisia 1906 UU Juvisy-sur-Orge, France
606 Brang�ne 1906 VB Character in Richard Wagners opera Tristan und Isolde
607 Jenny 1906 VC Jenny Adolfine Kessler, friend of the discoverer
608 Adolfine 1906 VD Jenny Adolfine Kessler, friend of the discoverer
609 Fulvia 1906 VF Fulvia, wife of Marcus Antonius
610 Valeska 1906 VK Unknown
611 Valeria 1906 VL Unknown
612 Veronika 1906 VN Unknown
613 Ginevra 1906 VP Guinevere, wife of King Arthur (?)
614 Pia 1906 VQ Pia Observatory, Trieste, Italy (?)
615 Roswitha 1906 VR Roswitha von Gandersheim, German poet
616 Elly 1906 VT Elly Boehm, wife of K. Boehm, mathematics professor
617 Patroclus 1906 VY Patroclus, mythological Greek warrior
618 Elfriede 1906 VZ Unknown
619 Triberga 1906 WC Triberg, Black Forest, Germany
620 Drakonia 1906 WE Drake University, Iowa, USA (?)
621 Werdandi 1906 WJ Verdandi, one of the Norns in Norse mythology
622 Esther 1906 WP Esther, Biblical woman
623 Chimaera 1907 XJ Chimera (creature), mythological Greek monster
624 Hektor 1907 XM Hector, Trojan hero
625 Xenia 1907 XN Unknown
626 Notburga 1907 XO Saint Notburga
627 Charis 1907 XS Charis, Greek goddess
628 Christine 1907 XT Unknown
629 Bernardina 1907 XU Unknown
630 Euphemia 1907 XW Saint Euphemia
631 Philippina 1907 YJ Philipp Kessler, friend of the discoverer
632 Pyrrha 1907 YX Pyrrha, Greek mythological woman
633 Zelima 1907 ZM Unknown
634 Ute 1907 ZN A friend of the discoverer
635 Vundtia 1907 ZS Vundt, German physicist
636 Erika 1907 XP Unknown
637 Chrysothemis 1907 YE Chrysothemis, mythological daughter of Agamemnon
638 Moira 1907 ZQ Moira, Greek goddess
639 Latona 1907 ZT Leto, Roman goddess
640 Brambilla 1907 ZW Prinzessi Brambilla, novel by E.T.A. Hoffman
641 Agnes 1907 ZX Unknown
642 Clara 1907 ZY One of the discoverers housekeepers
643 Scheherezade 1907 ZZ Scheherazade, legendary Arabic storyteller
644 Cosima 1907 AA Cosima Wagner, wife of composer Richard Wagner
645 Agrippina 1907 AG Agrippina, two Roman noblewomen of that name
646 Kastalia 1907 AC Castalia, Greek nymph
647 Adelgunde 1907 AD Unknown
648 Pippa 1907 AE Character in Und Pippa tanzt, novel by Gerhardt Hauptmann
649 Josefa 1907 AF Unknown
650 Amalasuntha 1907 AM Amalasuntha, Ostrogoth queen
651 Antikleia 1907 AN Anticlea, mother of Greek hero Odysseus
652 Jubilatrix 1907 AU The 60 year jubilee of Emperor Franz Joseph of Austria
653 Berenike 1907 BK Queen Berenice II of Egypt
654 Zelinda 1908 BM Daughter of mathematician Ulisse Dini
655 Brise�s 1907 BF Briseis, mythological Trojan slave
656 Beagle 1908 BU HMS Beagle, Charles Darwins ship
657 Gunl�d 1908 BV Gunnlod, mythological Norse giantess
658 Asteria 1908 BW Asteria, various Greek figures
659 Nestor 1908 CS Nestor (mythology), mythological Greek king
660 Crescentia 1908 CC Unknown
661 Cloelia 1908 CL Cloelia, legendary Roman woman (?)
662 Newtonia 1908 CW Newton, Massachusetts, USA
663 Gerlinde 1908 DG Unknown
664 Judith 1908 DH Biblical heroine dramatised in Friedrich Hebbels play Judith (play)
665 Sabine 1908 DK Unknown
666 Desdemona 1908 DM Desdemona, character in Shakespeares Othello
667 Denise 1908 DN Unknown
668 Dora 1908 DO A friend of the discoverers wife
669 Kypria 1908 DQ Kypria, poem sometimes attributed to Homer
670 Ottegebe 1908 DR Character in Gerhardt Hauptmanns play Der arme Heinrich
671 Carnegia 1908 DV Andrew Carnegie, philanthropist
672 Astarte 1908 DY `Ashtart, Phoenician goddess
673 Edda 1908 EA The Norse Edda, a collection of myths
674 Rachele 1908 EP Wife of the asteroids orbit computer, E. Bianchi
675 Ludmilla 1908 DU Character in Mikhail Glinkas opera Ruslan and Lyudmila
676 Melitta 1909 FN Attic name for Melissa, Greek nymph
677 Aaltje 1909 FR Aaltje Noordewier Reddingius, singer
678 Fredegundis 1909 FS Fredegundis, opera completed by Camille Saint-Sa�ns
679 Pax 1909 FY Pax, Roman goddess
680 Genoveva 1909 GW Main character in Friedrich Hebbels play Genoveva (?)
681 Gorgo 1909 GZ German name for the Gorgon, mythological Greek monster
682 Hagar 1909 HA Hagar, Biblical woman
683 Lanzia 1909 HC Karl Lanz, scientist
684 Hildburg 1909 HD Unknown
685 Hermia 1909 HE Unknown (possibly the character in Shakespeares A Midsummer Nights Dream?)
686 Gersuind 1909 HF Character in Gerhardt Hauptmanns play Gersuind
687 Tinette 1909 HG Unknown
688 Melanie 1909 HH Unknown
689 Zita 1909 HJ Princess Zita of Bourbon-Parma
690 Wratislavia 1909 HZ Latin for Wrocaw, Poland
691 Lehigh 1909 JG Lehigh University, USA
692 Hippodamia 1901 HD Hippodamia, mythological mother of Agamemnon
693 Zerbinetta 1909 HN Character in Richard Strausss opera Ariadne auf Naxos
694 Ekard 1909 JA Drake University, USA (Ekard is Drake backwards)
695 Bella 1909 JB Unknown
696 Leonora 1910 JJ Mary Leonora Snow, wife of the orbit computer
697 Galilea 1910 JO The discovery of Jupiters Galilean moons by Galileo Galilei
698 Ernestina 1910 JX Ernst Wolf, son of the discoverer
699 Hela 1910 KD Hel (goddess), Norse goddess (?)
700 Auravictrix 1910 KE Latin victory against the wind (named for the first Sch�tte-Lanz Zeppelin flights in 1911)

701-800

Name Provisional
Designation Named after
701 Oriola 1910 KN The Old World Orioles, a bird family
702 Alauda 1910 KQ The Alaudidae family of birds (larks)
703 No�mi 1910 KT Valentine No�mi von Rothschild, wife of an astronomical benefactor
704 Interamnia 1910 KU Latin for Teramo, Italy
705 Erminia 1910 KV Jacobowskys opera Erminia
706 Hirundo 1910 KX The Hirundinidae family of birds (swallows)
707 Steina 1910 LD Mr Stein, a benefactor of Breslau Observatory
708 Raphaela 1911 LJ Raphael von Bischoffsheim, founder of Nice Observatory
709 Fringilla 1911 LK The Fringillidae family of birds (finches)
710 Gertrud 1911 LM A granddaughter of the discoverer
711 Marmulla 1911 LN Possibly the German word marmel (Marbles)
712 Boliviana 1911 LO Sim�n Bol�var, South American revolutionary
713 Luscinia 1911 LS The Luscinia genus of birds (nightingales)
714 Ulula 1911 LW The Ulula order of birds (owls)
715 Transvaalia 1911 LX Transvaal, South Africa
716 Berkeley 1911 MD Berkeley, California, USA
717 Wisibada 1911 MJ Wiesbaden, Germany
718 Erida 1911 MS Daughter of astronomer Armin Otto Leuschner
719 Albert 1911 MT Baron Albert Freiherr von Rothschild
720 Bohlinia 1911 MW Karl Petrus Theodor Bohlin, astronomer
721 Tabora 1911 MZ The Tabora, an ocean liner visted during an astronomical conference
722 Frieda 1911 NA Daughter of astronomer Karl Hillebrand
723 Hammonia 1911 NB Hamburg, Germany
724 Hapag 1911 NC The Hamburg-Amerika Paketfahrt Aktien-Gesellschaft, an astronomical conference
725 Amanda 1911 ND Wife of astronomer Richard Schorr
726 Jo�lla 1911 NM Joel Hastings Metcalf, the discoverer
727 Nipponia 1912 NT Japan
728 Leonisis 1912 NU Leo Gans, president of the Physical Society, and the goddess Isis, emblem of the Society
729 Watsonia 1912 OD James Craig Watson, astronomer
730 Athanasia 1912 OK Greek for immortality
731 Sorga 1912 OQ Surga, Indonesian language for heavens
732 Tjilaki 1912 OR Tjilaki, river near Malabar (Indonesia), Indonesia
733 Mocia 1912 PF Werner Wolf, son of the discoverer, nicknamed Mok
734 Benda 1912 PH Anna Benda, wife of the discoverer
735 Marghanna 1912 PY Margarete Vogt, the discoverers mother, and Hanna, a relative of astronomer Heinrich Vogt
736 Harvard 1912 PZ Harvard University, USA
737 Arequipa 1912 QB Arequipa, Peru
738 Alagasta 1913 QO Original name of Gaualgesheim, Germany
739 Mandeville 1913 QR Mandeville (Jamaica), Jamaica
740 Cantabia 1913 QS Contraction of Cantabridgia, Latin for Cambridge, Massachusetts
741 Botolphia 1913 QT Saint Botolph, eponym of a street in Boston, Massachusetts
742 Edisona 1913 QU Thomas Edison, inventor
743 Eugenisis 1913 QV Greek language for good creation (named for the birth of the discoverers daughter)
744 Aguntina 1913 QW Aguntinum, Roman town in the province of Noricum
745 Mauritia 1913 QX Saint Mauritius, patron saint of a church in Wiesbaden, Germany
746 Marlu 1913 QY Marie-Louise Kaiser, the discoverers daughter, a physician
747 Winchester 1913 QZ Winchester, Massachusetts, USA
748 Sime�sa 1913 RD Sime�s Observatory, Crimea, Ukraine
749 Malzovia 1913 RF S.I. Malzov, amateur astron, founder of Sime�s Observatory
750 Oskar 1913 RG Oskar Ruben von Rothschild, benefactor (?)
751 Fa�na 1913 RK Fa�na Neujmin, the discoverers first wife
752 Sulamitis 1913 RL Sulamith, Biblical woman identified with the Queen of Sheba
753 Tiflis 1913 RM Tbilisi, Georgia
754 Malabar 1906 UT Malabar (Java), Java (island), Indonesia
755 Quintilla 1908 CZ An Italian girl
756 Lilliana 1908 DC Sister of astronomer Harlow Shapley
757 Portlandia 1908 EJ Portland, Maine, USA
758 Mancunia 1912 PE Manchester, UK
759 Vinifera 1913 SJ Vitis vinifera, the wine grape
760 Massinga 1913 SL A. Massinger, assistant astronomer
761 Brendelia 1913 SO Otto Rudolph Martin Brendel, astronomer
762 Pulcova 1913 SQ Pulkovo Observatory, Russia
763 Cupido 1913 ST Cupid, Roman god
764 Gedania 1913 SU Gdansk, Poland
765 Mattiaca 1913 SV Mattiacum, Latin name for Wiesbaden, Germany
766 Moguntia 1913 SW Latin name for Mainz, Germany
767 Bondia 1913 SX William Cranch Bond and George Phillips Bond, astronomers
768 Struveana 1913 SZ Friedrich Georg Wilhelm Struve, Otto Wilhelm Struve and Hermann Struve, astronomers
769 Tatjana 1913 TA A colleague of the discover, or perhaps the heroine of Aleksandr Pushkins Eugene Onegin
770 Bali 1913 TE Bali, Indonesia
771 Libera 1913 TO A friend of the discoverer
772 Tanete 1913 TR Tanete, Sulawesi, Indonesia (?)
773 Irmintraud 1913 TV A common German name in old myths and legends
774 Armor 1913 TW Armorica, Celtic name for Northwest France
775 Lumi�re 1914 TX Auguste and Louis Lumi�re, cinematic pioneers
776 Berbericia 1914 TY Adolf Berberich, astronomer
777 Gutemberga 1914 TZ Johann Gutenberg, printing pioneer
778 Theobalda 1914 UA Theobald Kaiser, the discoverers father
779 Nina 1914 UB Nina Nikolaevna Neujmina, mathematician, the discoverers sister
780 Armenia 1914 UC Armenia
781 Kartvelia 1914 UF Kartveli, Georgian language name for the Georgian people
782 Montefiore 1914 UK Montefiore, wife of Alphonse Mayer Rothschild
783 Nora 1914 UL Heroine of Henrik Ibsens play A Dolls House
784 Pickeringia 1914 UM Edward Charles Pickering and William Henry Pickering, astronomers
785 Zwetana 1914 UN Daughter of Professor K. Pophoff of Sofia
786 Bredichina 1914 UO Feodor Alexandrovich Bredichin, astronomer
787 Moskva 1914 UQ Moscow, Russia
788 Hohensteina 1914 UR Hohenstein Castle, Taunus mountains, Germany
789 Lena 1914 UU Elena Petrovna Neujmina, mother of the discoverer
790 Pretoria 1912 NW Pretoria, South Africa
791 Ani 1914 UV Ani, ruined city in Armenia
792 Metcalfia 1907 ZC Joel Hastings Metcalf, astronomer
793 Arizona 1907 ZD Arizona, USA, location of Lowell Observatory
794 Irenaea 1914 VB Irene, daughter of astronomer Edmund Weiss
795 Fini 1914 VE Unknown
796 Sarita 1914 VH Unknown
797 Montana 1914 VR Latin for mountain, in honour of the observatory at Bergedorf, Germany
798 Ruth 1914 VT Book of Ruth, Biblical heroine (?)
799 Gudula 1915 WO A girls name (not named after a specific person)
800 Kressmannia 1915 WP Major A. Kressman, benefactor of Heidelberg K�nigstuhl Observatory

801-900

Name Provisional
Designation Named after
801 Helwerthia 1915 WQ Elise Helwerth-Wolf, the discoverers mother
802 Epyaxa 1915 WR Unknown
803 Picka 1915 WS Friedrich Pick, Czech physician
804 Hispania 1915 WT Latin name for Spain
805 Hormuthia 1915 WW Mrs. Hormuth Kopff, wife of astronomer August Kopff
806 Gyld�nia 1915 WX John August Hugo Gyld�n, Swedish astronomer
807 Ceraskia 1915 WY Vitold Karlovich Ceraski, astronomer
808 Merxia 1901 GY Adalbert Merx, the discoverers father
809 Lundia 1915 XP Lund, Sweden, site of the Lund Observatory
810 Atossa 1915 XQ Atossa, ancient Persian queen
811 Nauheima 1915 XR Bad Nauheim, Germany
812 Adele 1915 XV Character in Johann Strauss opera Die Fledermaus (?)
813 Baumeia 1915 YR H. Baum, astronomy student killed in WWI
814 Tauris 1916 YT Tauris peninsula, Ukraine
815 Coppelia 1916 YU Copp�lia, ballet by Leo Delibes
816 Juliana 1916 YV Queen Juliana of the Netherlands (?)
817 Annika 1916 YW Unknown
818 Kapteynia 1916 YZ Jacobus Kapteyn, astronomer
819 Barnardiana 1916 ZA Edward Emerson Barnard, astronomer
820 Adriana 1916 ZB Unknown
821 Fanny 1916 ZC Unknown
822 Lalage 1916 ZD Unknown
823 Sisigambis 1916 ZG Sisigambis, mother of Darius III of Persia
824 Anastasia 1916 ZH Mrs Anastasia Semenoff, an acquaintance of the discoverer
825 Tanina 1916 ZL Unknown
826 Henrika 1916 ZO Unknown
827 Wolfiana 1916 ZW Max Wolf, astronomer
828 Lindemannia 1916 ZX Adolf Lindemann, astronomer
829 Academia 1916 ZY The Russian Academy of Sciences
830 Petropolitana 1916 ZZ Saint Petersburg, Russia
831 Stateira 1916 AA Stateira, wife of Artaxerxes II of Persia
832 Karin 1916 AB Karin M�nsdotter, wife of Eric XIV of Sweden
833 Monica 1916 AC Unknown
834 Burnhamia 1916 AD Sherburne Wesley Burnham, astronomer
835 Olivia 1916 AE Unknown
836 Jole 1916 AF Iole, wife of Heracles in Greek mythology
837 Schwarzschilda 1916 AG Karl Schwarzschild, astronomer
838 Seraphina 1916 AH Unknown
839 Valborg 1916 AJ Character in Adam Gottlob Oehlenschl�gers play Axel e Valborg
840 Zenobia 1916 AK Zenobia (goddess), Slavic goddess of hunting (?) Or, Zenobia, Queen of Palmyra (?)
841 Arabella 1916 AL Arabella, opera by Richard Strauss
842 Kerstin 1916 AM Unknown
843 Nicolaia 1916 AN Thorvald Nicolai Thiele, the discoverers father
844 Leontina 1916 AP Lienz, Austria
845 Na�ma 1916 AS Unknown
846 Lipperta 1916 AT Eduard Lippert, astronomical benefactor
847 Agnia 1915 XX Agnia Ivanovna Badina, physician
848 Inna 1915 XS Inna Nikolaevna Leman-Balanovskaya, astronomer
849 Ara 1912 NY American Relief Administration
850 Altona 1916 S24 Altona, Germany
851 Zeissia 1916 S26 Carl Zeiss, optician
852 Wladilena 1916 S27 Vladimir Lenin, Soviet leader
853 Nansenia 1916 S28 Fridtjof Nansen, explorer
854 Frostia 1916 S29 Edwin Brant Frost, astronomer
855 Newcombia 1916 ZP Simon Newcomb, astronomer
856 Backlunda 1916 S30 Oskar Backlund, astronomer
857 Glasenappia 1916 S33 Sergei Pavlov Glasenapp, astronomer
858 El Djeza�r 1916 a Algiers, Algeria
859 Bouzar�ah 1916 c Bouzar�ah, Algiers, site of Algiers Observatory
860 Ursina 1917 BD Unknown
861 A�da 1917 BE A�da, opera by Giuseppe Verdi
862 Franzia 1917 BF Franz Wolf, the discoverers son
863 Benkoela 1917 BH Benkoelen, Sumatra (?)
864 Aase A921 SB Character in Henrik Ibsens play Peer Gynt
865 Zubaida 1917 BO Character in Carl Maria von Webers opera Abu Hassan
866 Fatme 1917 BQ Character in Carl Maria von Webers opera Abu Hassan
867 Kovacia 1917 BS Friedrich Kovacs, physician who treated the discoverers wife
868 Lova 1917 BU Unknown
869 Mellena 1917 BV Herr von Melle, mayor of Hamburg and founder of Hamburg Observatory
870 Manto 1917 BX Manto, mythological Greek woman
871 Amneris 1917 BY Character in Giuseppe Verdis opera Aida
872 Holda 1917 BZ Edward Singleton Holden, American astronomer
873 Mechthild 1917 CA Unknown
874 Rotraut 1917 CC Sch�n Rotraut, poem by Eduard M�ricke (?)
875 Nymphe 1917 CF The Nymphs, Greek mythological figures
876 Scott 1917 CH Miss E. Scott, benefactor
877 Walk�re 1915 S7 The Valkeyries, mythological German warrior women
878 Mildred 1916 f Mildred, daughter of astronomer Harlow Shapley
879 Ricarda 1917 CJ Ricarda Huch, German poet
880 Herba 1917 CK Herba, Greek god
881 Athene 1917 CL Athena, Greek goddess
882 Swetlana 1917 CM Unknown
883 Matterania 1917 CP August Matter, maker of photographic plates for the discoverer
884 Priamus 1917 CQ Priam, Trojan king
885 Ulrike 1917 CX Ulrike von Levetzow, beloved of Johann Wolfgang von Goethe
886 Washingtonia 1917 b George Washington, American president
887 Alinda 1918 DB Alinda, figure in Australian aboriginal mythology. Or Alinda, an ancient city in Asia Minor (?)
888 Parysatis 1918 DC Parysatis, wife of Darius II of Persia
889 Erynia 1918 DG The Erinyes, of Furies, Greek mythological creatures
890 Waltraut 1918 DK Character in Richard Wagners opera G�tterd�mmerung
891 Gunhild 1918 DQ Unknown
892 Seeligeria 1918 DR Hugo Hans Seeliger, German astronomer
893 Leopoldina 1918 DS The Leopoldina, German scientific academy
894 Erda 1918 DT Erda, Norse goddess
895 Helio 1918 DU Helium
896 Sphinx 1918 DV The Sphinx
897 Lysistrata 1918 DZ Lysistrata, character from Aeschylus
898 Hildegard 1918 EA Saint Hildegard of Bingen (?)
899 Jokaste 1918 EB Jocasta, mother/wife of Oedipus
900 Rosalinde 1918 EC Character in Johann Strauss opera Die Fledermaus

901-1000

Name Provisional
Designation Named after
901 Brunsia 1918 EE Ernst Heinrich Bruns, German astronomer
902 Probitas 1918 EJ Probity, a quality attributed to the late discoverer
903 Nealley 1918 EM Amateur astronomer from New York
904 Rockefellia 1918 EO John D. Rockefeller, Jr., philanthropist
905 Universitas 1918 ES University of Hamburg, Germany
906 Repsolda 1918 ET Johann Georg Repsold, optical manufacturer
907 Rhoda 1918 EU Wife of astronomer Edward Emerson Barnard
908 Buda 1918 EX Buda, Hungary
909 Ulla 1919 FA Ulla Ahrens, daughter of a friend of the discoverer
910 Anneliese 1919 FB Friend of astronomer Julius Dick
911 Agamemnon 1919 FD Agamemnon, Greek king
912 Maritima 1919 FJ The annual maritime expedition organised by Hamburg University (?)
913 Otila 1919 FL Female first name (not named after a specific person)
914 Palisana 1919 FN Johann Palisa, astronomer
915 Cosette 1918 b Daughter of the discoverer
916 America 1915 S1 America
917 Lyka 1915 S4 A friend of the discoverers sister
918 Itha 1919 FR Female first name (not named after a specific person)
919 Ilsebill 1918 EQ Character in The Fisherman and his Wife by the Brothers Grimm
920 Rogeria 1919 FT Female first name (not named after a specific person)
921 Jovita 1919 FV Female first name (not named after a specific person)
922 Schlutia 1919 FW Edgar Schlubach and Mr Tiarks, astronomical benefactors
923 Herluga 1919 GB Female first name (not named after a specific person)
924 Toni 1919 GC Female first name (not named after a specific person)
925 Alphonsina 1920 GM Alfonso X of Castile and Alfonso XIII of Spain
926 Imhilde 1920 GN Female first name (not named after a specific person)
927 Ratisbona 1920 GO Latin names for Regensburg, Germany
928 Hildrun 1920 GP Female first name (not named after a specific person)
929 Algunde 1920 GR Female first name (not named after a specific person)
930 Westphalia 1920 GS Westphalia, Germany
931 Whittemora 1920 GU Thomas Wittemore, professor
932 Hooveria 1920 GV Herbert Hoover, American president
933 Susi 1927 CH Wife of astronomer Kasimir Graff
934 Th�ringia 1920 HK The Th�ringia, an Atlantic liner
935 Clivia 1920 HM Clivia, genus of flowering plant
936 Kunigunde 1920 HN Female first name (not named after a specific person)
937 Bethgea 1920 HO Hans Bethge, German poet
938 Chlosinde 1920 HQ Female first name (not named after a specific person)
939 Isberga 1920 HR Female first name (not named after a specific person)
940 Kordula 1920 HT Female first name (not named after a specific person)
941 Murray 1920 HV Gilbert Murray, American professor
942 Romilda 1920 HW Female first name (not named after a specific person)
943 Begonia 1920 HX Begonia, genus of herbs
944 Hidalgo 1920 HZ Miguel Hidalgo, Mexian revolutionary
945 Barcelona 1921 JB Barcelona, Spain
946 Po�sia 1921 JC Po�sia, goddess of poetry
947 Monterosa 1921 JD The Monterosa, a ship
948 Jucunda 1921 JE Female first name (not named after a specific person)
949 Hel 1921 JK Hel (goddess), Norse goddess
950 Ahrensa 1921 JP The Ahrens family, friends of the discoverer
951 Gaspra 1916 S45 Gaspra, Ukraine
952 Caia 1916 S61 Character in Henryk Sienkiewiczs novel Quo Vadis (novel)
953 Painleva 1921 JT Paul Painlev�, mathematician
954 Li 1921 JU Lina Alstede Reinmuth, the discoverers wife
955 Alstede 1921 JV Lina Alstede Reinmuth, the discoverers wife
956 Elisa 1921 JW Elisa Reinmuth, the discoverers mother
957 Camelia 1921 JX Camellia, genus of plant
958 Asplinda 1921 KC Bror Ansgar Asplind, Swedish astronomer
959 Arne 1921 KF Son of astronomer Bror Ansgar Asplind
960 Birgit 1921 KH Daughter of astronomer Bror Ansgar Asplind
961 Gunnie 1921 KM Daughter of astronomer Bror Ansgar Asplind
962 Asl�g 1921 KP
963 Iduberga 1921 KR
964 Subamara 1921 KS
965 Angelica 1921 KT
966 Muschi 1921 KU
967 Helionape 1921 KV
968 Petunia 1921 KW The petunia flower
969 Leocadia 1921 KZ
970 Primula 1921 LB The primrose flower
971 Alsatia 1921 LF Alsace, France
972 Cohnia 1922 LK
973 Aralia 1922 LR
974 Lioba 1922 LS
975 Perseverantia 1922 LT
976 Benjamina 1922 LU
977 Philippa 1922 LV Philipp von Rothschild, financier
978 Aidamina 1922 LY Aida Minaevna, friend of discoverers family
979 Ilsewa 1922 MC
980 Anacostia 1921 W19
981 Martina 1917 S92
982 Franklina 1922 MD Benjamin Franklin, scientist
983 Gunila 1922 ME
984 Gretia 1922 MH
985 Rosina 1922 MO
986 Amelia 1922 MQ
987 Wallia 1922 MR
988 Appella 1922 MT
989 Schwassmannia 1922 MW Arnold Schwassmann, astronomer
990 Yerkes 1922 MZ
991 McDonalda 1922 NB
992 Swasey 1922 ND
993 Moultona 1923 NJ
994 Otthild 1923 NL
995 Sternberga 1923 NP
996 Hilaritas 1923 NM
997 Priska 1923 NR
998 Bodea 1923 NU Johann Elert Bode, astronomer
999 Zachia 1923 NW Franz Xaver, Baron Von Zach, astronomer
1000 Piazzia 1923 NZ Giuseppe Piazzi, astronomer

Meanings of asteroid names
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2006-02-02T22:47:00.000-08:00

Valley-of-Flowers

Valley of flowers is the name of the Himalayan area in Uttaranchal, India. In 1931 the England mountaineer Frank Smythe stumbled across the paradisal Bhyundar Valley, an 8-km long glacier corridor in Chamoli Garhwal. This area, surrounded by snow-capped mountains and carpeted with flowers- some 500 species soon became a protected site. It was declared a national park in 1982. The Valley of Flowers stretches over an expanse of 87.50 sq km. This part of Uttaranchal, in the upper reaches of Garhwal, is inaccessible through much of the year. The area lies on Zaskar range of Himalayas with the highest point in the national park being Gauri Parbat at 6,719m above sea level. Flowers mostly orchids, poppies, primulas, Marigold, daisies and anemones carpet the ground. Alpine flora forests of birch and rhododendron cover a part of the area, and are home to tahr, snow leopard, musk deer, red fox, common langur, bharal, serow, Himalayan black bear and a huge variety of butterflies. There is no settlement in the national park and grazing in the area has been banned. The park is open only in summers between June and October. During rest period it is covered by heavy snow.

2006-02-02T10:45:00.000-08:00

Angela-Perez-Baraquio

Angela Perez Baraquio now Angela Perez Baraquio Gray, was crowned Miss America 2001 on October 14, 2000 in Atlantic City, New Jersey. Previous to her reign as Miss America, she was Miss Hawaii. She became the first teacher, Filipino Americans and Asian American to win the title. Baraquio graduated from Moanalua High School in June 1994 magna cum laude. Upon graduation, she attended the University of Hawaii at Manoa where she graduated in May 1999 with a bachelors degree in elementary education with an emphasis in speech. From August 1999 to June 2000, Baraquio was a faculty member at Holy Family Catholic Academy in the Salt Lake, Hawaii subdivision of Honolulu. She taught physical education, was athletic director and coached basketball, volleyball and track. Baraquio was also choir director of the historic Cathedral of Our Lady of Peace in Waikiki. Baraquio has worked as a spokeswoman for First Hawaiian Bank and First Hawaiian Center. She recently returned to the University of Hawaii at Manoa for a masters degree in educational administration, a pre-requisite to become a public school administrator in Hawaii.

2006-02-01T22:44:00.000-08:00

Brigitte-Lahaie

Brigitte Lahaie (born Brigade Van Meerhaegue, October 12, 1955, in Tourcoing) is a notable France pornography actress who began her career at the age of 20 performing in pornographic films from 1976 thru 1980. In 1980, having become a kind of idol of French X-rated film industrys golden age, she decided to put an end to her hardcore career and appeared in more traditional movies and big productions, such as I comme Icare (Henri Verneuil, 1980) in which she played a prostitute, and in Pour la peau dun flic (Alain Delon, 1981) in which she played a nurse. However, she also made some softcore and Nazi video nasties during this time. At the end of her acting career, she became famous in the general public by participating in the famous French radio show, Les Grosses T�tes, which is broadcast on RTL (French radio). She also tried to become a singer, with the single Caresse tendresse, without any commercial success or even professional appreciation. She is now the star animator on RMC Info of the daily show � Lahaie, lAmour et Vous �, from 14:00 to 16:00, which is mostly dealing with essential topics of human and sexual relations. She currently is also a hostess on a French X-rated TV cable-channel talk show. Brigitte Lahaie is also known for an unwavering interest in equestrianism, born when she saw the movie White Mane while a teenager.

Physical characteristics

Measurements: 36-24-36 (91cm/60cm/91cm)
Height: 5 8 (173 cm)
Weight: 120 lbs. (54 kg)

A Partial Filmography

Parties fines This is G�rard Kiko�nes first movie, the one that launched Brigitte Lahaies career.
Belles dun soir is a cult movie gathering 3 of the most famous 70s actresses Brigitte Lahaie, V�ronique Maugarsky and Martine Grimaud.
Parties de chasse en Sologne made a huge profit in the end of the 70s
Je suis � prendre A cult on the French X-rated scene.
La clinique des phantasmes This production from G�rard Kiko�ne featuring fetish action and voyeur scenes with dazzling actresses made a hype when it was released in 1981.
Les petites �coli�res (feat. Marylin Jess): This is the most famous movie from Fr�d�ric Lansac and was Brigitte Lahaies last X-rated flick.
Henry and June: This is most notable English language movie she has appeared in. She plays a bit part of a prostitute.

Summersville,-Missouri

Summersville is a city located in Shannon County, Missouri and Texas County, Missouri. As of the 2000 census, the city had a total population of 544.

Geography

Summersville is located at 37�1041 North, 91�3931 West (37.178141, -91.658521) GR 1. According to the United States Census Bureau, the city has a total area of 2.9 square kilometer (1.1 square mile). None of the area is covered with water.

Demographics

As of the census GR 2 of 2000, there are 544 people, 236 households, and 148 families residing in the city. The population density is 189.2/km� (489.0/mi�). There are 284 housing units at an average density of 98.8/km� (255.3/mi�). The racial makeup of the city is 98.53% White (U.S. Census), 0.00% African American (U.S. Census), 0.92% Native American (U.S. Census), 0.18% Asian (U.S. Census), 0.00% Pacific Islander (U.S. Census), 0.00% from Race (U.S. Census), and 0.37% from two or more races. 0.37% of the population are Hispanic (U.S. Census) or Latino (U.S. Census) of any race. There are 236 households out of which 33.5% have children under the age of 18 living with them, 51.3% are Marriage living together, 10.6% have a female householder with no husband present, and 36.9% are non-families. 35.6% of all households are made up of individuals and 25.0% have someone living alone who is 65 years of age or older. The average household size is 2.31 and the average family size is 2.96. In the city the population is spread out with 28.1% under the age of 18, 8.5% from 18 to 24, 23.0% from 25 to 44, 18.4% from 45 to 64, and 22.1% who are 65 years of age or older. The median age is 35 years. For every 100 females there are 86.3 males. For every 100 females age 18 and over, there are 69.3 males. The median income for a household in the city is $18,359, and the median income for a family is $22,500. Males have a median income of $21,563 versus $11,818 for females. The per capita income for the city is $10,163. 32.2% of the population and 25.0% of families are below the poverty line. Out of the total population, 45.4% of those under the age of 18 and 24.0% of those 65 and older are living below the poverty line.

2006-01-31T22:29:00.000-08:00

Nahwa

According to The Encyclopedia of International Boundaries there is one enclave within the Omani Madha enclave, named Nahwa, belonging to the Emirate of Sharjah. According to a Madha shopkeeper it would be nice to get a more authoritative source > a Malabari, in November 2002, the tiny Sharjah exclave of Nahwa is about 8 km on a dirt track towards the west from the town of New Madha. It consisted of around 40 houses with its own clinic, telephone exchange. The shopkeeper also said that the Omani territory is fairly undeveloped and empty, whereas Nahwa has some development on it. MEast-geo-stub

2006-01-31T12:14:00.000-08:00

Inscription

Inscriptions are words or letters writing, engraving, painting, or otherwise traced on a surface and can appear in contexts both small and monumental. Coin texts and monumental carvings on buildings are both included by historians as types of inscriptions. The study of inscriptions is epigraphy.

Types of inscription

Abecedarium
Chronogram
Epitaph on a headstone
Epigraph
Ex libris
Memento mori
Monumental inscription
Rune stone

Notable inscriptions

Rosetta Stone
Behistun Inscription
Laguna Copperplate Inscription
Shugborough House inscription
Inscription of Abercius
Pre-Islamic Arabic inscriptions
Orkhon inscriptions
Forum inscription
Duenos inscription
Bryggen inscriptions The Corpus Inscriptionum Latinarum is an example of an attempt by scholars to publish an organized collection of the known inscriptions from a particular language.

2006-01-31T00:16:00.000-08:00

Thornton-Burgess

Thornton W. Burgess (1874 � 1965) was an United States Conservation ethic and author of Childrens literature featuring the wildlife of his native Massachusetts � Peter Cottontail, Jimmy Skunk, Grandfather Frog, etc. His first book was Old Mother West Wind (1910). Following its success, he wrote a syndicated daily newspaper column, Bedtime Stories, which appeared without interruption from 1912 to 1960. His output comprises over 15,000 stories collected in over 170 books. A sample from Billy Minks Swimming Party in Old Mother West Wind: Just then Billy Mink saw a little brown head swimming along one edge of the Smiling Pool. Hello, Jerry Muskrat shouted Billy Mink. Hello your own self, Billy Mink, shouted Jerry Muskrat. Come in and have a swim, the waters fine Good, said Billy Mink. Well have a swimming party. So Billy Mink called all the Merry Little Breezes of Old Mother West Wind, who were playing with the flowers on the bank, and sent them to find Little Joe Otter and invite him to come to the swimming party. Pretty soon back came the Little Breezes, and with them came Little Joe Otter.

leeblog

Ruslan-Ponomariov

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Love\'s-Sweet-Exile

Wymore,-Nebraska

Geography

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History

Coat of Arms

Brackenridge,-Pennsylvania

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Dalezy

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References

Louis-Harold-Gray

Summary of Career

Maynardville,-Tennessee

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Highland,-Maine

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Reference

Port-Costa,-California

Geography

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The-Learning-Tree

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Failure (1990-1997)

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Comfort (1992)

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Yiewsley

Reading,-Vermont

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Buena-Vista,-Portage-County,-Wisconsin

Geography

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Demorest,-Georgia

Geography

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Meanings-of-asteroid-names-(501-1000)

501-600

601-700

701-800

801-900

901-1000

Valley-of-Flowers

Angela-Perez-Baraquio

Brigitte-Lahaie

Physical characteristics

A Partial Filmography

Further reading

Summersville,-Missouri

Geography

Demographics

Nahwa

Inscription

Types of inscription

Notable inscriptions

Thornton-Burgess