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Sol3 Mio take opera to the masses
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Opera, not my thing really until I heard Sol3 Mio.
REVIEW: Three North Shore lads of Samoan descent, who no-one knew of 18 months ago, brought the concertgoers to their feet on Friday night.
Timaru's Theatre Royal was full and every one of the 1100 patrons seemed in awe of Sol3 Mio, made up of brothers Pene and Amitai Pati and their cousin Moses Mackay.
The only thing matching their voices was their presence.
The trio had personality and a great sense of humour, genuinely having fun with each other and some in the audience in the place they dubbed "Tiramisu".
Opera was certainly on the menu but they switch seamlessly between musical genres, from Yellow Bird, to The Rose, Blue Bayou and even their own take on Frank Sinatra's My Way.
In between the trio explained their song choices and their history, which just added to the entertainment.
Pene claimed his father tried to make his family into the Samoan "von Trapps" and thanked him for making him sing every Friday night until his late teens at a rest home his father managed.
The trio also switched between instruments, all taking turns on the piano, guitar, ukulele and bongos.
Pene proudly noted that, orchestra excepted, they play all the instruments on their No 1 album, which is about to be launched in Australia and Europe.
Amitai and Moses also have wonderful voices but they admit the pathway to the top is very tough.
On the night arias gave way to lieder.
American folk song Shenandoah was mixed up with West Side Story's Maria and Leonard Cohen classic Hallelujah. The surprise song (by fans' request) was Edelweiss and the trio rated the audience's crack at the second verse highly.
Tell My Father was a moving rendition of an American Civil War song that again showed their versatility.
The serious stuff was superb and it was easy to see why Pene is considered to be on the way to being the next Pavarotti. Nessun Dorma was fantastic and the Pearl Fishers' duet Arena di Verona was superb.
The trio are certainly making opera accessible.
Fiercely proud of both their New Zealand and Samoan heritages, the last song was a moving rendition of We are Samoa.
What did you think of the concert?
- The Timaru Herald
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Jonathan Robertson is an award winning Writer, Director, and Producer, and a proud graduate of SUNY Purchase's Film Conservatory.
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text: A Man Is Recruiting Young Cornell Women to Join His "Nymph Squad"Lacey Donohue10/09/13 10:17pmFiled to: CreepsNymph Squad CommuneCornellIthacaTompkins County2874EditInvite manuallyPromoteDismissUndismissHideShare to KinjaToggle Conversation toolsGo to permalink According to the Tompkins County Sheriff's Office, a man was seen handing out these fliers in the Town of Newfield and on the Cornell University campus in an attempt to recruit his very own "Nymph Squad Commune." The fliers specify exactly what it takes to join the Nymph Squad. The man is looking for "13 Spiritually Alive, White, European, Caucasian, Blue Eyed, Green Eyed GIRLS to be my LIFE Partners, & to Join My Private, Spiritually Alive Commune." He further specifies that he wants GIRLS who play instruments, love cooking, and who an affinity for "Putin & Hitlers System." But this is not just going to be a relationship built on shared political values. Nope. Interested ladies must also love "Spiritually Alive White on White SEX." If you want to reach him, here's his website and while the flier lists one phone number, his website lists a different number and says the first number is no longer his. I called the flier number and it goes straight to a young female's voicemail message. The second number goes to the voicemail message of "Stevie Hayes." I've texted that number and left a message, so who knows. Advertisement The police are currently looking for the man who has been passing out the fliers. He is described as a 6'0" tall, short brown hair, white, male who drives a late 90's Chevrolet Lumina or Monte Carlo. [Image via Tompkins County Sheriff's Office's Photos] Sponsored Reply287 repliesLeave a reply


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Unfourtunately some of the drams you selected for your are now out of stock :(
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Prices vary based on delivery destination (it's a tax thing), so please change it if you're not shipping within United States as it might affect the price! (Why?)
This artisanal Alipus San Baltazar Guélavila Mezcal is produced using Espadin agave by small batch, father and son distillers Cosme and Cirilo Hernández. More info
Alipus go out and find tasty Mezcal from very small producers in Mexico, to open the world of the spirit just that little bit wider for us to enjoy. This edition was produced by Sr Eduardo Hernandez,… More info
An Alipús Mezcal here from San Andrés - a rich, surprisingly wood-y joven Mezcal, perfect for sipping neat or taking centre stage in a cocktail. More info
Another marvellous Mezcal presented as part of the Alipús, this time from San Juan del Rio! Always impressive stuff from producers that love the Mezcal craft (Mezcraft? Sounds a little too much like… More info
Joven mezcal from San Juan del Río bottled under Pescador de Sueños' Aprendiz label. Perfect for smoky mezcal cocktails! More info
Made with 100% Espadin agave, Bruxo No.1 is a traditional mezcal, a close relative to tequila (which must be made from blue agave). If you didn't know, "Espadin" is the Spanish name for a ceremonial… More info
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Ooh, a single village mezcal from Del Maguey's Vino De Mezcal range made with the Madrecuixe agave plant from San Luis del Rio. Very intriguing, this one. Lots of fruit notes up front, followed by… More info
A single village Mezcal from the top producers Del Maguey, this stuff is twice distilled from 100% Agave Espadin, and it's bottled unblended in a "time-honoured" 400 year old way. More info
An unusual and delicious sipping Mezcal from Del Maguey. This spirit is named "Pechuga", which means chicken breast - a reference to the third distillation, in which a basket of fruit and a chicken… More info
Yet another fantastic single village Mezcal from Del Maguey, all of which are unique, not only in origin but flavour. This limited edition expression packs lush notes of papaya, peach and refreshing… More info
A special edition bottling of Del Maguey single village Mezcal, distilled in San Luis Del Rio in Oaxaca. What makes this edition special (hence it being special edition) is that it was aged in 20… More info
A limited edition, small batch, single village Mezcal from the remote town of San Luis del Rio in the state of Oaxaca. This is a mature, robust spirit from Del Maguey, with a lovely fruity, earthy… More info
A wonderful small-batch Mezcal bottled by Del Maguey as part of their single village range of Mezcals. This was distilled in San Luis del Rio in Oaxaca and it has a superb flavour. More info
A limited edition Mezcal from Del Maguey, made using three different types of wild agave - Espadin, Tobala and Tobasiche. Happily enough, the bottle informs us that the roasted hearts of these plants… More info
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Single Village Mezcal from Del Maguey, made using Tobala agave which are grown at a very high elevation. They are also much smaller than your average agave plant. It takes about eight of these Tobala… More info
Another fantastic single estate Mezcal by Del Maguey, this one coming from San Pedro Teozacoalco and made with 100% Wild Maguey Papalome agave. The distillation takes place in a stainless steel pot… More info
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Derrumbes use a mix of two varieties of agave for their Michoacan Mezcal - Cupreata and Cenizo. This blend brings together two classic styles of Mezcal, one bright and fruity, one complex and herbal.… More info
Donaji Blanco is a richly herbaceous Mezcal made using Espadin and is twice distilled. It's named after the the legend of Princess Donají. More info
100% Espadín mezcal from Santa Maria Zoquitlan, Oaxaca. The agave is harvested at 10 years old before being used in this fantastic spirit under the watchful eye of mezcalero Ignacio Parada. More info
El Mero is tasty Mezcal produced by Master Mezcalero Justino Garcia Cruz using traditional distillation methods. The label features a neat illustration of a knife, inspired by the works of Carlos… More info


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Jeff Cornatzer
VP Construction
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|By Marketwired .
Article Rating:
|February 13, 2013 08:01 AM EST
REDWOOD SHORES, CA -- (Marketwire) -- 02/13/13 -- Oracle (NASDAQ: ORCL)
News Facts
- The Oracle Academy and the Computer Science Teachers Association (CSTA) are working together to train teachers in the U.S. and Canada to teach the Oracle Academy's Introduction to Computer Science curriculum to help inspire student interest in computer science.
- The Oracle Academy's Introduction to Computer Science curriculum includes Database Design and Programming courses and a Java-specific curriculum consisting of four courses (Getting Started with Java Using Alice, Creating Java Programs with Greenfoot, Java Fundamentals, and Java Programming) that are aligned to Oracle certification and the US Advanced Placement Computer Science A exam. The Getting Started with Java Using Alice curriculum engages students with little or no programming experience to learn basic Java programming concepts using Carnegie Mellon University's Alice software environment.
- The Oracle Academy and CSTA will host 32 teacher training events and workshops and expect to train up to 600 teachers.
- The effort will involve 18 CSTA chapters from Canada and the U.S. and the events will run from February through August 2013.
- More details about the training schedule are available here.
The Oracle Academy and CSTA Collaboration
- The Oracle Academy and CSTA are both committed to promoting computer science and technology education to help support computer science teachers and inspire students to explore in-demand computer science careers. This collaboration will help further these goals, prepare students for computing careers and help provide a competitive edge as they enter the workforce.
- CSTA is a membership organization that supports and promotes the teaching of computer science and other computing disciplines. CSTA provides opportunities for K-12 teachers and students to better understand the computing disciplines and to more successfully prepare themselves to teach and learn.
- The Oracle Academy provides a complete portfolio of software, curriculum, hosted technology, faculty training, support, and certification resources to secondary and higher education institutions for teaching use. The Oracle Academy supports over 1.9 million students in 97 countries.
Supporting Quotes
- "Oracle works to advance education with state-of-the-art technology programs that awaken and deepen students' interest in computer science and engineering," said Alison Derbenwick Miller, Vice President, Oracle Academy. "We are pleased to work with CSTA to help promote and strengthen computer science education and train teachers across the U.S. and Canada on the Oracle Academy curriculum. These efforts will ultimately help expand the reach and depth of computer science education at the K-12 level, and encourage students to explore the power of computer programming and the opportunities made available via computer science education."
- "Computer science is a constantly changing field and teachers need access to quality professional development to help ensure exemplary teaching. This partnership between CSTA, the CSTA Chapters, and the Oracle Academy will help enable hundreds of teachers to learn new skills and build strong learning communities," said Chris Stephenson, CSTA executive director.
- "Our chapter members are very excited about this opportunity," said CSTA Boston-Area chapter leader Kelly Powers. "This joint project between Oracle and CSTA is uniquely attractive. Our chapter members are constantly looking for opportunities to keep their knowledge up to date and having this content taught by Oracle experts and also having the opportunity to pursue certification is what immensely excited us. This is an opportunity for us to grow both professionally and as a community of teachers."
Supporting Resources
About Computer Science Teachers Association
The Computer Science Teachers Association is a membership organization that supports and promotes the teaching of computer science and other computing disciplines. CSTA provides opportunities for K-12 teachers and students to better understand the computing disciplines and to more successfully prepare themselves to teach and learn. To learn more, visit http://csta.acm.org/.
About Oracle
Oracle engineers hardware and software to work together in the cloud and in your data center. For more information about Oracle (NASDAQ: ORCL), visit www.oracle.com.
About the Oracle Academy
The Oracle Academy provides a complete portfolio of software, curriculum, hosted technology, faculty training, support, and certification resources to secondary and higher education institutions for teaching use. Faculty can insert these resources into computer science and business programs, ensuring that students gain industry-relevant skills prior to entering the workforce. The Oracle Academy supports over 1.9 million students in 97 countries. To learn more, visit http://oracle.com/academy.
Oracle and Java are registered trademarks of Oracle and/or its affiliates. All other product and service names mentioned are the trademarks of their respective companies.
Jessica Moore
Oracle Corporate Communications
Email Contact
Lissa Clayborn
Computer Science Teachers Association
Email Contact
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text:
PARSIFAL Study Group: Göran Pershagen, Tobias Alfvén, Johan Alm, Anna Bergström, Lars Engstrand, Helen Flöistrup, Stina Gustafsson, Marianne van Hage-Hamsten, Eva Hallner, Juha Kere, André Lauber, Gunnar Lilja, Fredrik Nyberg, Annika Scheynius, Helena Svensson, Jackie Swartz, Magnus Wickman, Anki Wigh, Annika Zettergren, Anne-Charlotte Öhman-Johansson (Sweden); Charlotte Braun-Fahrländer, Karin Michels, Marco Waser, Felix Sennhauser, Roger Lauener, Johannes Wildhaber (Switzerland); Bert Brunekreef, Dieneke Schram, Gert Doekes, Mirian Boeve, Jeroen Douwes, Machteld Huber, Mirjam Matze (the Netherlands); Erika von Mutius, David Carr, Michael Kabesch, Rob van Strien, Anne Zutavern, Marcus Benz, Jörg Budde (Germany); Josef Riedler, Waltraud Eder, Ellen Üblagger, Gerti Moser, Mynda Schreuer (Austria).
Bacterial and fungal components in house dust of farm children, Rudolf Steiner school children and reference children – the PARSIFAL Study
Version of Record online: 6 APR 2005
DOI: 10.1111/j.1398-9995.2005.00748.x
Volume 60, Issue 5, pages 611–618, May 2005
Additional Information
How to Cite
Schram, D., Doekes, G., Boeve, M., Douwes, J., Riedler, J., Üblagger, E., von Mutius, E., Budde, J., Pershagen, G., Nyberg, F., Alm, J., Braun-Fahrländer, C., Waser, M., Brunekreef, B. and on behalf of the PARSIFAL Study Group (2005), Bacterial and fungal components in house dust of farm children, Rudolf Steiner school children and reference children – the PARSIFAL Study. Allergy, 60: 611–618. doi: 10.1111/j.1398-9995.2005.00748.x
Publication History
- Issue online: 6 APR 2005
- Version of Record online: 6 APR 2005
- Accepted for publication 18 August 2004
- Abstract
- Article
- References
- Cited By
- β(1,3)-Glucans;
- anthroposophy;
- children;
- endotoxin;
- farm;
- fungal extracellular polysaccharides;
- house dust;
- microbial exposure
Background: Growing up on a farm and an anthroposophic lifestyle are associated with a lower prevalence of allergic diseases in childhood. It has been suggested that the enhanced exposure to endotoxin is an important protective factor of farm environments. Little is known about exposure to other microbial components on farms and exposure in anthroposophic families.
Objective: To assess the levels and determinants of bacterial endotoxin, mould β(1,3)-glucans and fungal extracellular polysaccharides (EPS) in house dust of farm children, Steiner school children and reference children.
Methods: Mattress and living room dust was collected in the homes of 229 farm children, 122 Steiner children and 60 and 67 of their respective reference children in five European countries. Stable dust was collected as well. All samples were analysed in one central laboratory. Determinants were assessed by questionnaire.
Results: Levels of endotoxin, EPS and glucans per gram of house dust in farm homes were 1.2- to 3.2-fold higher than levels in reference homes. For Steiner children, 1.1- to 1.6-fold higher levels were observed compared with their reference children. These differences were consistently found across countries, although mean levels varied considerably. Differences between groups and between countries were also significant after adjustment for home and family characteristics.
Conclusion: Farm children are not only consistently exposed to higher levels of endotoxin, but also to higher levels of mould components. Steiner school children may also be exposed to higher levels of microbial agents, but differences with reference children are much less pronounced than for farm children. Further analyses are, however, required to assess the association between exposure to these various microbial agents and allergic and airway diseases in the PARSIFAL population.
Several studies have shown that growing up on a farm protects against the development of atopic diseases (1–6). Contact to livestock has been suggested to account for this association (1, 2). It has been speculated that farm children are exposed to higher levels of microbial compounds, which may stimulate innate immunity and suppress atopic sensitization. Indeed, elevated levels of endotoxin, an intrinsic part of the outer membrane of Gram-negative bacteria, have been found in mattresses of farm children when compared with nonfarm children in Germany, Austria and Switzerland. Also nonfarm children with regular contact to farm animals were exposed to elevated endotoxin levels (7).
The same study showed that the endotoxin levels in mattress dust were inversely related to the prevalence of hay fever, atopic asthma, and atopic sensitization (8). An increased expression of receptors for microbial compounds (Toll-like receptor 2 and CD14) in farm children was also observed, and thought to be due to the higher endotoxin exposure (9). However, the Toll-like receptors are not specific for endotoxin (9), and the observed changes may thus also be due to other microbial components, like β(13)-glucans, cell wall constituents of most fungi, with known immunomodulatory effects (10–15).
Occupational studies have shown that farmers are exposed to high levels of both bacteria and fungi in animal houses (16, 17) but little is known of their domestic exposure. We aimed to investigate whether the levels of fungal components in house dust are, like endotoxin, higher in farm children when compared with reference children. We therefore assessed levels of house dust-associated β(13)-glucans and extracellular polysaccharides (EPS) from Aspergillus and Penicillium spp., which both have been shown to be associated with total culturable fungi in house dust, and thus may be good markers for indoor fungal exposure (18). We further studied whether differences in bacterial and fungal exposure between farm children and reference children would be similar in five European countries, with large differences in farming practices, which may influence indoor microbial agent levels differently (19, 20).
A low prevalence of atopic diseases and sensitization has also been found in children attending Rudolf Steiner schools, who predominantly come from families adhering to an anthroposophic lifestyle (21). While that study showed an inverse relation between the number of characteristic features of an anthroposophic lifestyle (like restricted use of antibiotics and immunizations) and risk of atopy (21), no attention was given thus far to possible differences in exposure to house dust-associated microbial agents in this population. We therefore also assessed levels of these agents in house dust from Rudolf Steiner school children and reference children.
Finally, we investigated whether exposure differences between the study groups and between countries could be explained by parent-reported differences in home and family characteristics.
In 2000, the cross-sectional PARSIFAL (Prevention of Allergy – Risk factors for Sensitization In children related to Farming and Anthroposophic Lifestyle) study on the association between environmental and lifestyle factors and allergies and asthma was initiated. The goal of PARSIFAL is to explore factors characteristic of farming and anthroposophic populations that may protect against the development of atopic diseases in children. A total of 14 901 children aged 5–13 years were included among farmers, families with an anthroposophic lifestyle, and respective reference groups in five European countries: Austria, Germany, the Netherlands, Sweden, and Switzerland. Children with an anthroposophic lifestyle were recruited through Rudolf Steiner schools. The reference children were selected such that they lived in the neighbourhood of farm and Steiner school children, but did not actually live on a farm or did not attend a Rudolf Steiner school, respectively. Exposure information like home and farm characteristics was assessed through a questionnaire administered to the parents of the participating child. The study design further included collection of house dust in a subsample of 100 children per country: 50 farm children, 25 children of Rudolf Steiner schools and 12–13 children of each reference group. Farms without livestock (representing <20% of the farm children questionnaire population) were excluded from the selection of families for dust sampling. The Steiner and reference children were randomly selected from the children whose parents consented to dust sampling and blood sampling (more than 50% of the questionnaire population). Selection procedures differed slightly between countries; in Austria consent to blood sampling was not required and in Sweden and the Netherlands the selection was restricted to some geographical areas. The subpopulation, selected for dust sampling, had essentially the same distribution of determinants (like age of the home, contact to farm animals, etc.) as the total PARSIFAL population. In total, fieldworkers collected dust from the mattresses and living room floors of 229 farm children, 122 Steiner children and 60 and 67 of their respective reference children. On farms, dust from the animal stable(s) was collected as well.
Dust collection
Dust from mattresses and living room floors was collected on preweighed glass fibre filters using vacuum cleaners with sampling nozzles (ALK, Horsholm, Denmark) according to a standardized protocol with photo- and video-instructions. The whole area of the mattress (with under-sheets only) was vacuumed for 2 min. For living room floors, sampling time and area depended on type of floor covering; carpeted floors, 1 m2, 2 min; smooth floor with ≥4 m2 rug, 1 m2 of rug, 2 min; smooth floor with no rug or smaller rug(s), 2 m2 of smooth floor, 4 min. Stable dust was collected at 0.5–1.5 m above the floor from various surfaces (shelves, window sills, etc.), using a brush and a dust pan. After each sampling of mattress, living room or stable dust all sampling tools (ALK nozzle or brush and dust pan) were cleaned thoroughly with 70% ethanol. All samples (stable dust or filters with sampled house dust) were stored in tightly closed new, disposable 50 ml tubes, stored frozen at the various centres, and shipped on dry ice to one laboratory (IRAS, Utrecht, NL), where samples were stored at −20°C for 4–19 months until extraction. To assess the risk of contamination during sampling and sample processing procedures, each centre included during the field work a number of 'field blanks' (total n = 41): preweighed filters in 50 ml tubes that were transported to field locations, opened and further treated as sample filters, except that no actual sampling was performed.
Dust extraction
For house dust samples, filters plus dust were weighed and then extracted in a volume of 5–40 ml, determined by the net dust weight (<0.5 g, 5 ml; 0.5–1.0 g, 10 ml; 1.0–2.0 g, 20 ml; >2.0 g, 40 ml). Stable dust was sieved through a 0.425 mm mesh and 150 mg of each sample was extracted in a volume of 5 ml. Endotoxin, EPS and glucans were extracted sequentially, essentially as described previously (22–24). First, 5–40 ml (0.05%, v/v) Tween-20 in pyrogen-free water was added, suspensions were incubated in an end-over-end roller for 1 h at room temperature, and after centrifugation (15 min, 1000 g) the upper 10% of supernatant was harvested and stored in four aliquots at −20°C for endotoxin analysis. For the second step, the removed supernatant was replaced with the same volume of 10 × concentrated phosphate-buffered saline (PBS), thus changing the extraction medium into PBS-0.045% Tween-20. After re-suspension and thorough mixing of the first pellet in the new medium, incubation was continued in the end-over-end roller (1 h), followed by centrifugation (15 min, 2000 g). The supernatant was harvested and stored in six to 10 aliquots at −20°C for analysis of EPS and pet and mite allergens. The remaining dust pellets were stored at −20°C. For the extraction of glucans, the pellets were re-suspended in the original volume of PBS-Tween (0.05%), incubated in an end-over-end roller for 15 min, autoclaved for 1 h at 120°C and incubated in an end-over-end roller again for 15 min. After centrifugation (15 min, 1000 g), supernatant was harvested and stored in two aliquots at −20°C until analysis.
Analysis of microbial components
Endotoxin was analysed with the kinetic chromogenic Limulus Amebocyte Lysate (LAL) test, using the same batch of LAL reagents and standards for all analyses (BioWhittaker, Walkersville, MD, USA; LAL lysate lot no. 1L676S, LPS standard lot no. 2L0090) (22). The EPS was analysed with a specific sandwich enzyme immunoassay (EIA) for EPS of Aspergillus and Penicillium spp. (23) and glucans were measured with an inhibition EIA (24). Concentrations were expressed as endotoxin units (22), EPS units [based on an in-home standard consisting of a pooled house dust extract given an arbitrary value of 5000 EPS units/ml (22)] and micrograms of glucans per gram of dust and per square meter. For stable samples, levels of all three components were only calculated per gram of dust. The average interday/interassay coefficients of variation, as determined by testing duplicate extract aliquots of 10% of all samples on another day as the first aliquot, ranged from 14.5 to 30.5%. The 41 field blanks [which were treated exactly the same as the other filters (including transport to homes, etc.), except dust sampling] showed nondetectable (90–95%) or very low levels of microbial agents.
Amounts of dust lower than 0.020 g were considered undetectable and were given a value of 0.013 g. All mattress samples had a detectable amount of dust. For living room (n = 25) and stable (n = 15) samples with undetectable amounts of dust, no concentrations per gram of dust were calculated, unless the amounts of microbial components were undetectable too. Samples with nondetectable amounts of endotoxin, EPS or glucans (n = 18, n = 14 and n = 9 respectively) were given a value of two-thirds of the lowest observed detectable amount per gram of dust or per square meter for the specific component determined. Overall, <5% of results are missing, because of the undetectable amounts of dust or sampling or extraction failures, or because the surface area of the mattress had not been recorded.
Statistical analysis
Levels of microbial components were approximately normally distributed after natural log (ln)-transformation. The differences between groups were evaluated by performing Student's t-tests, with ln-transformed values. Correlations were evaluated by calculating Pearson correlation coefficients with ln-transformed values. The associations between the ln-transformed levels and self-reported home, farm and family characteristics were studied in univariate and multivariate regression analyses. The association of each dichotomous variable (set at 1 for children with that characteristic and 0 for children without that characteristic) with the level of any of the microbial agents was expressed as the ratio of covariate-adjusted geometric mean (GM) levels of that microbial agent for children with and without that characteristic (mean ratio). Characteristics that did not have a significant effect on any of the microbial component levels were left out of the final multivariate models because of power implications. To test for heterogeneity in the observed associations, the multivariate regression models were also run for each country and study group separately. sas statistical software (version 8.2, SAS Institute, Cary, NC, USA) was used for all analyses.
Differences between groups and countries
More living room and mattress dust was collected in homes of Steiner children when compared with their reference children (GM: 0.34 vs 0.17 and 0.45 vs 0.35 g respectively). For farm children, only amounts of living room dust were significantly higher when compared with farm reference children (GM: 0.27 vs 0.18 g). Figure 1 shows the distributions of microbial components per gram of dust for both sampling sites for each of the four groups. Farm children had higher levels of endotoxin (2.6- to 3.2-fold), EPS (2.4- to 3.1-fold) and glucans (1.2- to 1.3-fold) when compared with farm reference children. Steiner children had somewhat higher levels than their reference children (endotoxin 1.2- to 1.3-fold.; EPS 1.4- to 1.6-fold; glucans 1.1- to 1.2-fold) but differences were smaller and not always significant. For farm children and their reference children, the differences were 1.5- to 4.2-fold (P < 0.05) when levels were expressed per square meter, for Steiner children and their reference children, the differences were 1.6- to 2.5-fold (P < 0.01) when expressed per square meter (data not shown). The trends were consistent across countries, although mean levels in each country varied considerably (Fig. 2). For example, for mattress samples from farm children, mean levels of endotoxin, EPS, and glucans per gram of dust varied up to 2.6-, 1.3- and 2.2-fold respectively, between the countries. Highest levels of EPS were observed in Switzerland (mattress) and Austria (living room), whilst highest levels of endotoxin and glucans were observed in Germany and Sweden respectively.
Associations between levels of different microbial agents at the same site and between levels at different sampling sites
For both mattress and living room dust, levels of the three microbial agents per gram dust showed moderate, but significant correlations, with Pearson's r for log-transformed values ranging from 0.20 to 0.38. A comparison of levels in mattress dust with those in living room floor dust from the same home also showed moderate correlations, with r ranging from 0.26 to 0.36.
The levels of endotoxin, EPS and glucans in dust from stables were respectively five-, seven- and threefold higher than in dust of living room floors of farm children. The EPS and glucans in dust of stables were moderately correlated with the levels of these agents in dust from mattresses and floors with carpets or rugs (r: 0.19–0.34), whilst no significant correlations were found for endotoxin (r: 0.04–0.06).
Determinants of microbial agent levels
A number of home characteristics differed between the groups; of the children included in the multivariate analyses described below, more farm children lived in houses built after 1960 (62%) compared with farm reference children (30%). The same was true for Steiner children when compared with Steiner reference children (39%vs 27% respectively). Of the farm children, 88% had frequent contact to farm animals, vs 26% of farm reference children, 23% of Steiner children and 11% of Steiner reference children. Of the farm children, 37% had a carpeted floor or floor with a rug, vs 45% of farm reference children, 59% of Steiner children and 49% of Steiner reference children. We therefore also compared levels of microbial agents between groups, while adjusting for these factors and for country of residence. Table 1 shows the multivariate associations between home and family characteristics and the observed levels in mattress dust. Part of the observed differences between groups was explained by age of the home (EPS), frequent use of a gas or wood stove for heating (EPS), having both a cat and a dog (endotoxin) and contact of the index child to farm animals (EPS and endotoxin). Contact to farm animals was correlated with being a farm child (r = 0.67), but the analyses for all groups separately showed that in each group contact to farm animals was associated with higher levels of endotoxin and EPS in mattress dust.
|Endotoxin (EU/g)
|EPS (EPS units/g)
|β(1,3)-Glucans (μg/g)
|Farmer vs Steiner-ref‡
|1.44 (1.00–2.06)
|1.43 (1.08–1.89)*
|1.16 (0.97–1.37)
|Steiner vs Steiner-ref
|1.28 (0.94–1.75)
|1.23 (0.97–1.57)
|1.18 (1.02–1.37)*
|Farm-ref vs Steiner-ref
|0.85 (0.59–1.23)
|0.88 (0.66–1.18)
|0.95 (0.79–1.14)
|Switzerland vs Sweden
|0.73 (0.53–1.00)
|1.20 (0.93–1.54)
|0.66 (0.57–0.78)**
|The Netherlands vs Sweden
|0.99 (0.73–1.35)
|0.85 (0.67–1.08)
|0.46 (0.39–0.53)**
|Germany vs Sweden
|2.12 (1.59–2.83)**
|1.00 (0.79–1.25)
|0.49 (0.43–0.57)**
|Austria vs Sweden
|0.90 (0.67–1.22)
|1.01 (0.80–1.28)
|0.46 (0.40–0.53)**
|Home and family characteristics§
|Dampness or moulds living-/bedroom (yes vs no)
|1.26 (0.87–1.81)
|1.18 (0.89–1.57)
|0.99 (0.83–1.18)
|House built ≥1960 vs <1960
|1.06 (0.86–1.30)
|1.25 (1.06–1.47)**
|0.98 (0.89–1.09)
|Dog vs no cat and dog
|1.05 (0.74–1.48)
|0.84 (0.64–1.10)
|1.02 (0.86–1.20)
|Cat vs no cat and dog
|1.09 (0.86–1.38)
|1.05 (0.87–1.27)
|1.11 (0.99–1.25)
|Dog and cat vs no cat and dog
|1.52 (1.12–2.05)**
|1.24 (0.97–1.57)
|1.09 (0.94–1.26)
|Frequent use of gas/wood stove for heating (yes vs no)
|0.93 (0.71–1.22)
|1.26 (1.01–1.56)*
|1.04 (0.91–1.19)
|Child's contact to farm animals (yes vs no)
|1.49 (1.15–1.93)**
|1.50 (1.22–1.84)**
|1.10 (0.97–1.24)
The same multivariate model, including type of floor covering, was used to explain levels per gram of living room dust. Significant, positive associations were found for country, being a farm child (EPS, endotoxin) or Steiner child (EPS), parent-reported dampness or mould growth in the home (EPS), age of the home (EPS), type of floor covering (carpet or rug vs smooth) (EPS, glucans) and frequent use of a gas or wood stove for heating (endotoxin) (data not shown). Table 2 shows the associations between farm characteristics and the observed levels in mattress dust of farm children after adjustment for home and family characteristics and presence of farm animals other than cows and pigs (horses, sheep, chicken, goats). Full-time farming increased the levels of EPS in mattress dust. A direct connection between house and stable appeared to increase endotoxin and EPS levels in mattress dust, but this increase was not significant. For living rooms, full-time farming was associated with higher levels of EPS and endotoxin (not shown).
|Farm characteristics‡
|Endotoxin (EU/g)
|EPS (EPS units/g)
|β(1,3)-glucans (μg/g)
|Full time vs part time farming
|0.98 (0.69–1.38)
|1.28 (0.99–1.66)
|0.88 (0.75–1.04)
|House connected to stable, yes vs no
|1.27 (0.81–2.01)
|1.24 (0.88–1.76)
|1.10 (0.88–1.36)
|Pig(s) vs no pig
|1.01 (0.69–1.49)
|0.90 (0.67–1.21)
|1.01 (0.84–1.21)
|Cow(s) vs no cow
|1.27 (0.70–2.29)
|0.98 (0.63–1.53)
|0.95 (0.72–1.26)
This study demonstrates that not only endotoxin levels, but also levels of mould EPS and glucans are higher in homes of farm children when compared with homes of farm reference children. Also for Steiner children, somewhat higher levels of endotoxin, EPS and glucans were observed when compared with their reference children, but differences were smaller and not always significant.
Differences between farm children and their reference children
The results regarding endotoxin levels in homes of farm children are in line with the previously published ALEX study which also showed that endotoxin levels in homes of farm children are higher than in homes of reference children in Austria, Germany and Switzerland (7). We showed exposure differences for mould components as well: EPS and glucans. The differences were most pronounced for EPS, which was previously shown to be a useful marker of indoor mould growth (18). Glucans are important cell wall constituents of most fungi, but have other sources too, like bacteria and many higher and lower plants. Furthermore, the variation of glucan measurements has been shown to be similar within- and between-homes, whereas for EPS within-home variation was smaller than that occurring between-homes (18). Although there have been signs that farming also influences the domestic area (25–27), this is the first study showing elevated indoor exposure to fungal components and a correlation between levels in stable dust and in house dust. It is interesting that such a correlation was not found for endotoxin. In the ALEX study, no correlation between stable endotoxin levels and indoor levels was found either (28). It might be speculated that endotoxin levels in stables vary more than mould levels over time. This study did not include repeated measurements to assess variability of levels over time, but the ALEX study showed a high correlation (r = 0.73) between endotoxin levels in dust samples of stables taken on two separate occasions (28). It can also be speculated that variation in other sources of indoor levels or variation in factors determining transfer of bacterial and fungal components from stables to the indoor environment cause these apparent discrepancies in associations between levels indoors and in stables.
One important determinant which partly explained the higher endotoxin and EPS levels in mattress dust of farm children was contact to farm animals. Contact to farm animals was also in Steiner children, Steiner reference children and farm reference children associated with higher levels of endotoxin and EPS in mattress dust, although not always significantly. This is in line with the study showing that not only farm children but also nonfarm children with regular contact to farm animals are exposed to elevated endotoxin levels (7).
Differences between Steiner children and their reference children
Exposure differences were not only found for farm children and their reference children, but also, although less clearly, for Steiner children and their reference children. More mattress and living room dust was collected in homes of Steiner children when compared with Steiner reference children, which might be related to cleaning habits. Steiner families vacuumed their living room on average 3.4 days before the home visit for the last time, whereas Steiner reference families vacuumed on average 2.4 days before the home visit for the last time (P = 0.01), which might indicate that Steiner families clean less often. However, even after adjustment for days since last vacuuming (not shown) and various home characteristics, differences in microbial exposure remained, although the observed differences did not always reach significance. The first studies in this group of children did not include measurements in house dust (21, 29). Future studies into the factors possibly protecting these children from atopic diseases should take microbial components in house dust into account, although it seems unlikely that the rather small differences in exposure, compared with the differences found between farm children and reference children, would substantially contribute to a presumed protective effect in the development of atopic sensitization, as hypothesized for farm children.
Differences between countries
The differences between groups were consistent across countries. Despite large differences in farming practices, the differences in microbial exposure between farm children and reference children were similar in all countries. The mean levels per country, however differed substantially, even after adjustment for differences in home characteristics. This cannot be due to differences in sampling and laboratory procedures, because we used standardized procedures and one laboratory for all analyses. Inter-fieldworker differences might have occurred, but no consistent, significant fieldworker effects on levels of microbial components were observed within countries. There were some differences in the timing of fieldwork, but studies in German homes found no effects of season (30), temperature and relative humidity (30, 31) on endotoxin levels, so this is an unlikely explanation for the observed exposure differences. For EPS and glucans, no seasonal effects have been reported previously either (18, 32). We have no explanation for the international exposure differences observed in this study.
This study assessed differences in exposure to bacterial and fungal components in house dust between farm and Steiner children and their respective reference children. Exposure to immunomodulatory components of moulds might protect against atopy and asthma, as has been suggested for exposure to endotoxin and other bacterial components (33). The association between microbial exposure and allergic and airway diseases in these children will be assessed in a separate publication.
The authors thank all fieldworkers, PARSIFAL team members and participants who contributed to this study. Also thank Siegfried de Wind, Jack Spithoven, Griet Terpstra and Gert Buurman for the laboratory analyses and Rob van Strien for his review of this paper.
This work was supported by a research grant from the European Union QLRT 1999-01391.
- 1Reduced risk of hay fever and asthma among children of farmers. Clin Exp Allergy 2000;30: 187–193., , , , ,
- 2Austrian children living on a farm have less hay fever, asthma and allergic sensitization. Clin Exp Allergy 2000;30: 194–200., , ,
- 3Having lived on a farm and protection against allergic diseases in Australia. Clin Exp Allergy 2001;31: 570–575., , , , ,
- 4Relative scarcity of asthma and atopy among rural adolescents raised on a farm. Am J Respir Crit Care Med 2000;161: 1563–1566.,
- 5Farm environment in childhood prevents the development of allergies. Clin Exp Allergy 2000;30: 201–208., , ,
- 6Does living on a farm during childhood protect against asthma, allergic rhinitis, and atopy in adulthood? Am J Respir Crit Care Med 2001;164(10 Pt 1):1829–1834., , , , ,
- 7Exposure to endotoxin or other bacterial components might protect against the development of atopy. Clin Exp Allergy 2000;30: 1230–1234., , , , , et al.
- 8Environmental exposure to endotoxin and its relation to asthma in school-age children. N Engl J Med 2002;347: 869–877., , , , , et al.
- 9Expression of CD14 and Toll-like receptor 2 in farmers' and non-farmers' children. Lancet 2002;360: 465–466., , , , , et al.
- 10Activation of the complement system by (13)-beta-D-glucans having different degrees of branching and different ultrastructures. J Pharmacobiodyn 1992;15: 277–285., , ,
- 11Changes in immune mediators in mouse lung produced by administration of soluble (13)-β-D-glucan. Biol Pharm Bull 1994;17: 617–622., ,
- 12Chemistry and biology of (13)-β-glucans. Victoria: La Trobe University Press, 1992.,
- 13Influence of polysaccharides on neutrophil function: specific antagonists suggest a model for cooperative saccharide-associated inhibition of immune complex-triggered superoxide production. J Cell Biochem 1994;56: 225–235.,
- 14(13)-β-D-Glucan in indoor air, its measurement and in vitro activity. Am J Ind Med 1994;25: 81–83., ,
- 15Enhancement of cytokine production by macrophages stimulated with (13)-β-D-glucan, grifolan (GRN), isolated from Grifola frondosa. Biol Pharm Bull 1994;17: 1554–1560., , ,
- 16Exposure and respiratory health in farming in temperate zones – a review of the literature. Ann Agric Environ Med 2002;9: 119–136.
- 17Air contaminants in different European farming environments. Ann Agric Environ Med 2002;9: 41–48., , , , , et al.
- 18Fungal extracellular polysaccharides, β(13)-glucans and culturable fungi in repeated sampling of house dust. Indoor Air 2001;11: 171–178., , , , , et al.Direct Link:
- 19Do only European cattle protect from allergies? Allergy 2002;57: 1094–1096.
- 20Farm residence and exposures and the risk of allergic diseases in New Zealand children. Allergy 2002;57: 1171–1179., , , , , et al.
- 21Atopy in children of families with an anthroposophic lifestyle. Lancet 1999;353: 1485–1488., , , ,
- 22Influence of various dust sampling and extraction methods on the measurement of airborne endotoxin. Appl Environ Microbiol 1995;61: 1763–1769., , , ,
- 23Fungal extracellular polysaccharides in house dust as a marker for exposure to fungi: relations with culturable fungi, reported home dampness, and respiratory symptoms. J Allergy Clin Immunol 1999;103(3 Pt 1):494–500., , , , , et al.
- 24Measurement of β(13)-glucans in occupational and home environments with an inhibition enzyme immunoassay. Appl Environ Microbiol 1996;62: 3176–3182., , , ,
- 25Mite allergy and exposure to storage mites and house dust mites in farmers. Clin Exp Allergy 1990;20: 211–219., , ,
- 26Distribution of dust-mite allergens (Lep d 2, Der p 1, Der f 1, Der 2) in pig-farming environments and sensitization of the respective farmers. Allergy 2000;55: 219–225., , , , , et al.
- 27Cow hair allergen (Bos d 2) content in house dust: correlation with sensitization in farmers with cow hair asthma. Int Arch Allergy Immunol 1997;112: 231–237., , ,
- 28Determinants of endotoxin levels in living environments of farmers' children and their peers from rural areas. Clin Exp Allergy 2004;34: 389–397., , , , , et al.
- 29An anthroposophic lifestyle and intestinal microflora in infancy. Pediatr Allergy Immunol 2002;13: 402–411., , , , , et al.
- 30Predictors of high endotoxin concentrations in the settled dust of German homes. Indoor Air 2002;12: 2–9., , , , ,Direct Link:
- 31Endotoxin and β(13)-glucan in house dust and the relation with home characteristics: a pilot study in 25 German houses. Indoor Air 1998;8: 255–263., , , , ,
- 32β(13)-Glucan in house dust of German homes: housing characteristics, occupant behavior, and relations with endotoxins, allergens, and molds. Environ Health Perspect 2001;109: 139–144., , , , , et al.
- 33Invited commentary: is indoor mold exposure a risk factor for asthma? Am J Epidemiol 2003;158: 203–206.,


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I Spy - Volume 5
Bill Cosby,
Sally Kellerman &
Robert Culp
Starring: Bill Cosby, Sally Kellerman & Robert Culp
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- Released: February 20, 2001
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Product Description:
Includes four episodes of the classic television series. "A Day Called 4 Jaguar" - An archaeologist and Cosmonaut disappears in the Mexican bush in search of the Aztec way of life. "One Thousand Fine" - After an American airman crashes in the Mexican jungle, he can not remember what went wrong with the plane or what happened to the gold on board. "Crusade to Limbo" - Our agents infiltrate a Mexican-based group supporting a rebellion to liberate a neighboring Latin nation. "My Mother the Spy" - A former U.S. spy falls in love with an enemy agent.
Description by Image Entertainment:
Episodes: "A Day Called 4 Jaguar" - Cosmonaut Dimitri Balin, who is devoted to the study of archaeology, disappears in the Mexican jungle to return to the ways of the Aztecs. Co-Starring Rory Calhoun and George Montgomery. "One Thousand Fine" - Flight engineer Jack Gannon, sole survivor of a plane crash in the Mexican jungle resulting in the loss of U.S. gold bullion, attempts to conquer a memory block concerning the tragedy as he aids American secret agents Robinson and Scott in the recovery of the gold. Co-Starring Dane Clark and Susan Oliver. "Crusade to Limbo" - Assigned by the U.S. government to infiltrate a Mexican-based group dedicated to the liberation and invasion of a nearby Latin American dictatorship, Robinson and Scott pretend sympathy for the movement. Co-Starring Howard Duff and Frank Silvera. "My Mother the Spy" - Sally Kellerman guest stars as a former U.S. spy who has made the mistake of falling in love with an enemy agent and becomes the object of a search by Robinson and Scott. Co-Starring Alejandro Rey and Theo Marcuse.
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Plastic surgeons are medical professionals in Falls Church who modify and reconstruct the physical appearance of a particular area of the body. This is done by means of cosmetic, reconstructive or micro surgeries to correct congenital defects or damages due to wounds, burns, tumor removal, etc, or for other personal reasons.
Governor Cuomo Announces 900 Solar Projects Underway Through 26 Community Solarize Campaigns Across The State
"Solarize" campaigns are encouraging homes and businesses throughout the state to install solar – State will support another 31 "Solarize" campaigns set to begin this spring (Long Island, NY) Governor Andrew M. Cuomo today announced that 900 solar projects are underway through 26 community "Solarize" campaigns across New York State. A component of the NY-Sun program and the Governor's comprehensive..


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AVADirect Now Offers Next-Generation HM77 Clevo Notebooks
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15 Oct 2013
The big difference in New Orleans' passing attack this year isn't Sean Payton's return -- it's the return of Jimmy Graham's health. If that is compromised in any way going forward by his foot injury, New Orleans could be in trouble.
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The 2015 Saints were the worst defense we have ever measured, and Brandon Browner set a single-season record for penalties, so it's no surprise to see him at the bottom of the coverage tables.


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