Lutti

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Les entreprises étant sujet à controverse, n’oubliez pas d’indiquer dans l’article les critères qui le rendent admissible.

Lutti est une entreprise de confiserie française dont le siège est à Bondues dans le département du Nord de la France.

Son premier produit commercialisé à grand succès fut le caramel mou Lutti running belt malaysia. Aujourd’hui, Lutti est la 2e marque de confiserie en France et commercialise une large gamme de bonbons, dont l’Arlequin, le Bubblizz ou le Magnificat.

En 1889 la Confiserie Léopold est créée en Belgique.

C’est en 1929 qu’est née la marque Lutti all football uniforms. Le nom a été trouvé par Henri Cornet selon des critères de marketing de l’époque.

Avant guerre, ces bonbons ont donné naissance à une émission de radio sur les ondes nationales, qui s’appelait “Les enfants de Lutti”

En 1949, Léon Desprets, crée la Chocolaterie Saint Pierre, quai de Dunkerque  à Roubaix. Il rachète en 1961 la confiserie Lamy, qu’il délocalise à Tourcoing.

De fusions en rachat, notamment celle de la marque belge Lutti qui deviendra la marque commerciale du groupe 1972, elle conservera toujours ses sites de productions sur le Nord

Par la suite boys football jersey, de nombreuses acquisitions de Chocolateries et Confiseries ont contribué au développement et au rayonnement de Lutti, en France comme en Belgique.

En 1993, Lutti lance ses bonbons phares : l’Arlequin et le Bubblizz where to buy glass water bottles.

Depuis 2011, Le confiseur allemand Katjes International est l’unique actionnaire de l’entreprise.

Le site de production est basé dans le Nord de la France, à Bondues et regroupe 450 collaborateurs. La capacité totale de fabrication est de 50 000 tonnes par an. Aujourd’hui la production est exclusivement française, le site de production belge ayant subi un incendie en octobre 2013. Les produits sont vendus dans plus de 50 pays dans le monde et l’export représente 20 % du chiffre d’affaires.

Créée il y a plus de 120 ans, Lutti conçoit, fabrique et commercialise une large gamme de bonbons, de gommes et de chocolats.

Depuis 2003, Lutti est la deuxième marque française et la première marque belge de la confiserie de sucre en sachet.

Lutti est présent sur différentes gammes :

Lutti lance chaque année de nombreuses nouveautés ; les dernières en date : la gamme Bomb, les tubos Max 2 Fizz qui rassemble les dernières innovations fizz de LUTTI, Luttimint Iceball (une bille de menthe forte) et Flexifizz Duo.

FIFA 98

FIFA 98 (Road to World Cup) ist ein von EA Sports entwickeltes Computerspiel aus der FIFA-Serie. Es erschien 1997 für den PC what tenderizes meat, Sega Mega Drive, Sega Saturn, SNES, Nintendo 64, PlayStation und den Game Boy.

Der Spieler steuert in Freundschaftsspielen oder einer selbstdefinierten Liga die Spieler einer Fußballmannschaft in einer von mehreren internationalen Ligen oder bei der Fußball-Weltmeisterschaft 1998. Er hat dabei die Wahl zwischen den Vereinsmannschaften verschiedener nationaler Ligen und allen Nationalmannschaften, die an der Qualifikation zur Fußball-Weltmeisterschaft 1998 teilnahmen. Mit letzteren kann er die Weltmeisterschaft nachspielen. Als Spielstätte stehen 16 Stadien aus 16 Ländern zur Auswahl.

FIFA 98 war das letzte Spiel aus dieser Reihe, in dem der Spieler Hallenfußballspiele austragen konnte.

Die Kommentatoren der Fußballspiele in der deutschen Version sind Martin Siebel, Wolf-Dieter Poschmann und Werner Hansch smartphone waterproof case.

Die wichtigste Neuerung von Fifa98 war der erstmalige Online-Modus germany soccer t shirt. Über Modem war es nun möglich, online gegen andere Spieler anzutreten.

Im Jahr 2008, also über zehn Jahre nach der Veröffentlichung des Originals, veröffentlichte das FIFA-Portal „FIFA 4 Fans“ ein Add-on zu FIFA 98 mit dem Titel „Because It’s Still the Best“-Patch, in dem die Bundesligavereine der Saison 2007/08 sowie über 150 aktuelle Nationalmannschaften enthalten sind. Das Add-on ist kostenlos im Internet herunterzuladen.

Der Titelsong des Spiels ist das 1997 erschienene Lied Song 2 von der britischen Band Blur. Die Menümusik stammt von dem DJ-Duo The Crystal Method.

Bollstanäs

Bollstanäs är ett villasamhälle i Upplands Väsby kommun i Stockholms län. Området räknas, tillsammans med Odenslunda, som en av fem kommundelar i Upplands Väsby. Bollstanäs var tidigare en del av Fresta socken, som 1952 bildade Upplands-Väsby landskommun.. Bollstanäs ligger öster om E4-an, Uppsalavägen, invid Norrvikens nordvästra strand. I söder gränsar Bollstanäs till Rotebro i Sollentuna kommun och i sydöst till Täby Kommun.

Bollstanäs har anor som går tillbaka till en ursprungligen förhistorisk by, Grimsta, som 1789 köptes av kamrer Johan Henrik Boll. Han lät bygga en herrgård, som från 1794 benämndes Bollstanäs. År 1907 köptes gården av Rotebro-Bollstanäs Småbruks A/B som styckade av tomter. I mitten av 1910-talet fanns det ett 40-tal egnahem och handelsträdgårdar i Bollstanäs. Orten har därefter utvecklats som villa- och trädgårdsstad och är idag ett tillväxtområde som domineras av modern villa- och radhusbebyggelse.

Kommundelen Odenslunda/Bollstanäs är, med cirka 10 000 invånare, den del av Upplands Väsby kommun som har den lägsta andelen pensionärer och den högsta andelen barn thermos 2465p. Det kan jämföras med 1950, då det bodde sammanlagt knappt 1 000 personer i de båda orterna.Området Bollstanäs får en allt större tillväxt och popularitet how long to tenderize meat. Detta tros vara på grund av närheten till Stockholm football uniforms youth, Norrviken samt tillgången till grönska samt skolor/förskolor. Det är även nära till handelsområdet Infra City där man finner både affärer sports jerseys for cheap, apotek, restauranger etc.

Frågan kring att göra Bollstanäs till en egen kommun har tagits upp. Det sägs vara på grund av skatteskäl då medelinkomsten är betydligt högre i denna kommundel jämfört med kommunens resterande.[källa behövs]

Liste der deutschen Finanzminister

Finanzminister sind unter anderem für die Erstellung und Beaufsichtigung des Haushaltsplanes zuständig. Sofern kein Schatzministerium vorhanden war, verwalteten sie außerdem noch das Vermögen des Reiches bzw. des Bundes. In Deutschland ist das Bundesschatzministerium im Jahr 1969 aufgelöst worden und im Finanzministerium aufgegangen.

Die Provisorische Zentralgewalt war 1848/1849 als Exekutive des entstehenden Deutschen Reiches der Revolutionszeit die erste Reichsregierung. Im Norddeutschen Bund gab es außer dem Bundeskanzleramt und dem Auswärtigen Amt keine weiteren obersten Bundesbehörden phone belt. Im Kaiserreich wurde das Reichsschatzamt 1880 eingerichtet. Es ist am ehesten mit dem heutigen Finanzministerium zu vergleichen. Seit dem Jahr 1919 tragen die obersten Behördenleiter Rang und Titel eines Ministers.

DDR-Finanzministerin Uta Nickel war die bisher einzige Frau in diesem Amt.

(1): In den Reichstagsprotokollen als „Staatsminister, Staatssekretär des Reichsschatzamts“ bezeichnet.)

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Bund: Finanzminister || Länder: Amtierend || Baden-Württemberg | Bayern | Berlin | Brandenburg | Bremen | Hamburg | Hessen | Mecklenburg-Vorpommern | Niedersachsen&nbsp metal bottle;| Nordrhein-Westfalen | Rheinland-Pfalz | Saarland | Sachsen | Sachsen-Anhalt | Schleswig-Holstein | Thüringen

Q–Q plot

In statistics best fanny pack for running, a Q–Q plot (“Q” stands for quantile) is a probability plot, which is a graphical method for comparing two probability distributions by plotting their quantiles against each other. First, the set of intervals for the quantiles is chosen. A point (x, y) on the plot corresponds to one of the quantiles of the second distribution (y-coordinate) plotted against the same quantile of the first distribution (x-coordinate). Thus the line is a parametric curve with the parameter which is the (number of the) interval for the quantile.

If the two distributions being compared are similar, the points in the Q–Q plot will approximately lie on the line y = x. If the distributions are linearly related, the points in the Q–Q plot will approximately lie on a line, but not necessarily on the line y = x. Q–Q plots can also be used as a graphical means of estimating parameters in a location-scale family of distributions.

A Q–Q plot is used to compare the shapes of distributions, providing a graphical view of how properties such as location, scale, and skewness are similar or different in the two distributions. Q–Q plots can be used to compare collections of data, or theoretical distributions. The use of Q–Q plots to compare two samples of data can be viewed as a non-parametric approach to comparing their underlying distributions. A Q–Q plot is generally a more powerful approach to do this than the common technique of comparing histograms of the two samples, but requires more skill to interpret. Q–Q plots are commonly used to compare a data set to a theoretical model. This can provide an assessment of “goodness of fit” that is graphical, rather than reducing to a numerical summary. Q–Q plots are also used to compare two theoretical distributions to each other. Since Q–Q plots compare distributions, there is no need for the values to be observed as pairs, as in a scatter plot, or even for the numbers of values in the two groups being compared to be equal.

The term “probability plot” sometimes refers specifically to a Q–Q plot, sometimes to a more general class of plots, and sometimes to the less commonly used P–P plot. The probability plot correlation coefficient is a quantity derived from the idea of Q–Q plots, which measures the agreement of a fitted distribution with observed data and which is sometimes used as a means of fitting a distribution to data.

A Q–Q plot is a plot of the quantiles of two distributions against each other, or a plot based on estimates of the quantiles. The pattern of points in the plot is used to compare the two distributions.

The main step in constructing a Q–Q plot is calculating or estimating the quantiles to be plotted. If one or both of the axes in a Q–Q plot is based on a theoretical distribution with a continuous cumulative distribution function (CDF), all quantiles are uniquely defined and can be obtained by inverting the CDF. If a theoretical probability distribution with a discontinuous CDF is one of the two distributions being compared, some of the quantiles may not be defined, so an interpolated quantile may be plotted. If the Q–Q plot is based on data, there are multiple quantile estimators in use. Rules for forming Q–Q plots when quantiles must be estimated or interpolated are called plotting positions.

A simple case is where one has two data sets of the same size. In that case, to make the Q–Q plot, one orders each set in increasing order, then pairs off and plots the corresponding values. A more complicated construction is the case where two data sets of different sizes are being compared. To construct the Q–Q plot in this case, it is necessary to use an interpolated quantile estimate so that quantiles corresponding to the same underlying probability can be constructed.

More abstractly, given two cumulative probability distribution functions F and G, with associated quantile functions F−1 and G−1 (the inverse function of the CDF is the quantile function), the Q–Q plot draws the q-th quantile of F against the q-th quantile of G for a range of values of q. Thus insulated water jug, the Q–Q plot is a parametric curve indexed over [0,1] with values in the real plane R2.

The points plotted in a Q–Q plot are always non-decreasing when viewed from left to right. If the two distributions being compared are identical, the Q–Q plot follows the 45° line y = x. If the two distributions agree after linearly transforming the values in one of the distributions, then the Q–Q plot follows some line, but not necessarily the line y = x french meat pie recipe. If the general trend of the Q–Q plot is flatter than the line y = x, the distribution plotted on the horizontal axis is more dispersed than the distribution plotted on the vertical axis. Conversely, if the general trend of the Q–Q plot is steeper than the line y = x, the distribution plotted on the vertical axis is more dispersed than the distribution plotted on the horizontal axis. Q–Q plots are often arced, or “S” shaped, indicating that one of the distributions is more skewed than the other, or that one of the distributions has heavier tails than the other.

Although a Q–Q plot is based on quantiles, in a standard Q–Q plot it is not possible to determine which point in the Q–Q plot determines a given quantile. For example, it is not possible to determine the median of either of the two distributions being compared by inspecting the Q–Q plot. Some Q–Q plots indicate the deciles to make determinations such as this possible.

The intercept and slope of a linear regression between the quantiles gives a measure of the relative location and relative scale of the samples. If the median of the distribution plotted on the horizontal axis is 0, the intercept of a regression line is a measure of location, and the slope is a measure of scale. The distance between medians is another measure of relative location reflected in a Q–Q plot. The “probability plot correlation coefficient” is the correlation coefficient between the paired sample quantiles. The closer the correlation coefficient is to one, the closer the distributions are to being shifted, scaled versions of each other. For distributions with a single shape parameter, the probability plot correlation coefficient plot (PPCC plot) provides a method for estimating the shape parameter – one simply computes the correlation coefficient for different values of the shape parameter, and uses the one with the best fit, just as if one were comparing distributions of different types.

Another common use of Q–Q plots is to compare the distribution of a sample to a theoretical distribution, such as the standard normal distribution N(0,1), as in a normal probability plot. As in the case when comparing two samples of data, one orders the data (formally, computes the order statistics), then plots them against certain quantiles of the theoretical distribution.

The choice of quantiles from a theoretical distribution can depend upon context and purpose. One choice, given a sample of size n, is k / n for k = 1, …, n, as these are the quantiles that the sampling distribution realizes. The last of these, n / n, corresponds to the 100th percentile – the maximum value of the theoretical distribution, which is sometimes infinite. Other choices are the use of (k − 0.5) / n, or instead to space the points evenly in the uniform distribution, using k / (n + 1).

Many other choices have been suggested, both formal and heuristic, based on theory or simulations relevant in context. The following subsections discuss some of these. A narrower question is choosing a maximum (estimation of a population maximum), known as the German tank problem, for which similar “sample maximum, plus a gap” solutions exist, most simply m + m/n – 1. A more formal application of this uniformization of spacing occurs in maximum spacing estimation of parameters.

The k / (n + 1) approach equals that of plotting the points according to the probability that the last of (n+1) randomly drawn values will not exceed the k-th smallest of the first n randomly drawn values.

In using a normal probability plot, the quantiles one uses are the rankits, the quantile of the expected value of the order statistic of a standard normal distribution.

More generally, Shapiro–Wilk test uses the expected values of the order statistics of the given distribution; the resulting plot and line yields the generalized least squares estimate for location and scale (from the intercept and slope of the fitted line). Although this is not too important for the normal distribution (the location and scale are estimated by the mean and standard deviation, respectively), it can be useful for many other distributions.

However, this requires calculating the expected values of the order statistic, which may be difficult if the distribution is not normal.

Alternatively, one may use estimates of the median of the order statistics, which one can compute based on estimates of the median of the order statistics of a uniform distribution and the quantile function of the distribution; this was suggested by (Filliben 1975).

This can be easily generated for any distribution for which the quantile function can be computed, but conversely the resulting estimates of location and scale are no longer precisely the least squares estimates, though these only differ significantly for n small.

For the quantiles of the comparison distribution typically the formula k / (n + 1) is used.[citation needed] Several different formulas have been used or proposed as affine symmetrical plotting positions. Such formulas have the form (ka) / (n + 1 − 2a) for some value of a in the range from 0 to 1/2, which gives a range between k / (n + 1) and (k − 1/2) / n.

Other expressions include:

For large sample size, n, there is little difference between these various expressions.

The order statistic medians are the medians of the order statistics of the distribution. These can be expressed in terms of the quantile function and the order statistic medians for the continuous uniform distribution by:

where U(i) are the uniform order statistic medians and G is the quantile function for the desired distribution. The quantile function is the inverse of the cumulative distribution function (probability that X is less than or equal to some value). That is, given a probability, we want the corresponding quantile of the cumulative distribution function.

James J. Filliben (Filliben 1975) uses the following estimates for the uniform order statistic medians:

The reason for this estimate is that the order statistic medians do not have a simple form.

Human Wheels

Human Wheels is the twelfth studio album by American singer-songwriter John Mellencamp. Released on Mercury Records in 1993, it peaked at No. 7 on the Billboard 200. The single “What If I Came Knocking” was Mellencamp’s last No. 1 single on the Album Rock Tracks chart, staying atop for two weeks in the summer of 1993.

Entertainment Weekly gave the record an “A” rating, stating: “John Mellencamp’s last album was more or less straight-ahead rock, but there’s something dark and unshaven about his new one, ‘Human Wheels.’ Oddball instruments — pennywhistles, mandolins — pop up like disordered wraiths over gritty drum tracks that sound like they were recorded in a cluttered cellar arsenal football shirt. Mellencamp himself mutters and snarls in a voice of tangled complexity, worrying his way through songs about trouble pill remover for clothes.”

The title track was borne out of a poem Mellencamp’s friend George Green wrote as a eulogy he delivered at the grave site upon the death of his grandfather. “He had no intention of using it as a song,” Mellencamp said in a 2008 interview with the Bloomington Herald Times. “He had me read it and I said, ‘These are the best lyrics you ever wrote.’ He said, ‘They’re not lyrics’ and I said underwater case, ‘I can make them lyrics.’ I took it and kind of cut it up and wrote the chorus.” Mellencamp gave additional insight into the writing process of “Human Wheels” in a 2004 American Songwriter interview, saying: “I wrote that song without a guitar or anything. I just sang that melody. I figured out the cadence in my head, and then I went to my guitar to figure out the chords.”

“To me, this record is very urban,” Mellencamp told Billboard Magazine’s Craig Rosen in a July 3, 1993 story. “We had a lot of discussions about the rhythm and blues music of the day. We explored what a lot of these current bands are doing—these young black bands that are doing more than just sampling.

“The rhythms in songs like ‘Birmingham’ or ‘French Shoes’ or ‘Junior’ are R&B, but to me R&B is the basic beat that propels the human body. Sly & the Family Stone also deserve a tip of hat here, because as a kid when I heard Sly sing ‘hot fun at the country fair handmade bracelets,’ I said, ‘Man, that’s for me!’ Years later, I saw that there was a lot more subtlety and intensity to his music than I first realized. And whether you hear the influence in Tone Loc or Arrested Development, Sly remains an undercredited inspiration in ’90s rock ‘n roll. He made street music, and I wanted things like ‘Birmingham’ to have the rhythm of the streets.”

Of the lead track, “When Jesus Left Birmingham,” Mellencamp told Billboard: “I wrote ‘When Jesus Left Birmingham’ in Amsterdam in 1992 after driving back at 2 a.m. from a concert we’d done down in The Hague. When we got to the hotel, it looked like Sodom and Gomorrah, with dozens of well-dressed businessmen all around the area picking up prostitutes and going wild. I thought, ‘There’s something wrong here: It’s a Wednesday night, at an hour when anybody sane is asleep, and these people are just getting started!’ It gave you the sense that there’s no bottom line any more in anyone’s behavior.”

Mercury Records utilized a unique (for the time period) two-tiered singles campaign to promote the album. They released “What if I Came Knocking” to radio in July 1993, and followed it up a month later with a second single, “Human Wheels,” which charted at #48 on the Billboard Hot 100. “The whole idea came from Jimi Hendrix,” Mellencamp told Billboard. “He put out a single, and said, ‘I did pretty good with that one, let’s make another one.’ Then they made an album.”

The album is dedicated to band member John Cascella, who died unexpectedly about halfway through production of the album.

All songs written by John Mellencamp, except where noted.

AlbumBillboard (North America)

SinglesBillboard (North America)

Fausta Garavini

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Fausta Garavini (Bologne, 1938) est une femme de lettres, universitaire, romancière 32 ounce glass water bottle, essayiste et traductrice italienne.

Fausta Garavini étudie les littératures française et occitane à l’université de Florence takeya modern glass water bottle. Elle est ensuite professeur dans cette même université germany football shirt.

Épouse de l’écrivain occitan Robert Lafont, elle partage sa vie entre Florence et Montpellier.

Essayiste et nouvelliste small waist pack, elle écrit pour des publications comme Paragone (dont elle est membre du Comité de rédaction depuis 1972) , Nuovi Argomenti, Revue d’histoire littéraire de la France ou Littérature”.

Ses études sur la littérature occitane moderne sont des ouvrages de référence.

Elle est l’auteur de la traduction italienne intégrale des Essais de Montaigne, d’une édition du Journal de voyage de Montaigne et de plusieurs études sur cet auteur qui ont fait date.

Ses autres travaux sur la littérature française portent de préférence sur le roman et l’autobiographie.

Depuis une vingtaine d’années elle se consacre essentiellement à son travail d’écrivain en publiant des romans et des nouvelles.

Pretty Girls (Britney Spears e Iggy Azalea)

Pretty Girls è un singolo della cantante statunitense Britney Spears e della rapper australiana Iggy Azalea, pubblicato il 4 maggio 2015 dalla Radio Corporation of America.

Pretty Girls è stata scritta dai The Invisible Men insieme a Maegan Cottone, Azalea e alle Little Mix. Le due cantanti hanno presentato dal vivo il brano per la prima volta durante i Billboard Music Awards tenutisi a Las Vegas il 17 maggio.

Il brano è stato inoltre nominato nella categoria “Choice Song: Female” ai Teen Choice Awards.

Il videoclip, diretto da Iggy Azalea e Cameron Duddy, è stato pubblicato il 13 maggio 2015. Esso è un omaggio al film Le ragazze della Terra sono facili, diretto da Julien Temple.

Pretty Girls ha avuto nel mondo un moderato successo, riuscendo a entrare in top 20 nel Regno Unito dry pak waterproof cell phone case, Canada e Finlandia ed entrare in top 30 negli Stati Uniti d’America, Francia e Australia.

In Nord America, Pretty Girls ha debuttato alla posizione 29 nella Billboard Hot 100 vendendo 96.000 copie digitali. Pretty Girls segna la 33esima canzone della Spears a classificarsi nella Billboard hot 100. In Canada best plastic water bottle, il singolo ha invece raggiunto la 16esima posizione della rispettiva classifica.

In Europa, la più alta entrata in classifica del singolo è avvenuta nel Regno Unito, dove ha debuttato alla 16 nella UK Singles Chart, diventando così la 30esima canzone della Spears a raggiungere la Top 20.

Iggy Azalea ha attribuito alla mancata promozione lo scarso andamento commerciale del singolo.

Fisksätra

Fisksätra er et tettsted i Nacka kommune i Stockholms län i Sverige wholesale youth football jerseys. I 2010 hadde tettstedet 7 475 innbyggere, og et areal på 1,03 km².

Områdets sentrale deler var i hvert fall fra 1562 og framover en fattig gård under Erstavik, men gårdsnavntypen og utgravde forhistoriske graver taler for at plassen var i bruk allerede i vikingtiden.

Høyhusbebyggelse ble oppført her mellom 1972 og 1974. Området består hovedsakelig av 4-5-etasjes leilighetsblokker med garasje i kjelleretasjen, og et bakkenivå som er utilgjengelig for biler. Rundt høyhusområdet ligger lavhusområdene Fiskarhöjden, Båthöjden og Fågelhöjden. Rekkehusene på Fiskarhöjden ble bygd mellom 1973 og 1974 wooden meat tenderizer.

Fisksätra har holdeplass på Saltsjöbanan. Reisetiden til Slussen i det sentrale Stockholm er rundt 20 minutter. Avstanden til Slussen er 11 kilometer.

Motorveien Saltsjöbadsleden slutter i Fisksätra, og fortsetter deretter som landevei.

Boo · Fisksätra · Hästhagen · Kil · Kummelnäs · Saltsjöbaden · Stockholm (del av) · Älta

Slussen · Henriksdal · Sickla · Nacka · Saltsjö-Järla&nbsp football jersey usa;· Lillängen · Storängen · Saltsjö-Duvnäs · Östervik · Fisksätra · Igelboda · Neglinge · Ringvägen · Saltsjöbaden

Igelboda · Tippen · Tattby&nbsp water bottle for jogging;· Erstaviksbadet · Solsidan

Stadsgården · Fåfängan · Dockans lastplats · Snörom  · Lännerstasundet · Vinterbrinken · Pålnäsviken · Dalaröbryggan

Koordinater:

Hubert Heil

Hubert Heil (* 11. August 1931 in Künzell) ist ein hessischer Politiker (CDU) und ehemaliger Abgeordneter des Hessischen Landtags.

Hubert Heil machte eine Lehre als Maschinenschlosser und Schreiner und arbeitete im erlernten Beruf. Seit 1982 war er Mitglied des Hauptpersonalrates bei der Zentrale der Hauptverwaltung der Deutschen Bundesbahn. Ab 1993 war er Bundesvorsitzender der Gewerkschaft der Eisenbahner Deutschlands und war von 1994 bis zu seinem Eintritt in den Ruhestand Aufsichtsratsmitglied der Deutsche Bahn AG.

Für die CDU war Hubert Heil seit 1977 Mitglied des Landeswohlfahrtsverbandes Hessen how to tenderize meat without tenderizer. Am 4. Juli 1994 rückte er für Hartmut Nassauer in den Landtag nach, dem er bis zum Ende der Wahlperiode am 4

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. April 1995 angehörte.

Für seine Tätigkeit im Kreistag von Fulda erhielt er 2006 die Georg-Stieler-Medaille. Heil war von 1972 bis 2006 Kreistagsmitglied. In seiner 37 Jahre währenden kummunalpolitischen Tätigkeit war er unter anderem 33 Jahre lang Erster Beigeordneter der Gemeinde Künzell. Mehrmals vertrat er während dieser Jahre für längere Zeit erkrankte oder verstorbene Bürgermeister.

Am 16. Januar 2007 wurde er mit dem Hessischen Verdienstorden ausgezeichnet.