alea-institute/kl3m-data-sample-004-shuffled huggingface dataset:
<TABLE> <S> <C>

<ARTICLE> 5
<CIK> 0000759641
<NAME> AEI REAL ESTATE FUND 85-A LTD PARTNERSHIP
       
<S>                             <C>
<PERIOD-TYPE>                   12-MOS
<FISCAL-YEAR-END>                          DEC-31-1995
<PERIOD-END>                               DEC-31-1995
<CASH>                                       1,017,632
<SECURITIES>                                         0
<RECEIVABLES>                                    8,514
<ALLOWANCES>                                         0
<INVENTORY>                                          0
<CURRENT-ASSETS>                             1,026,146
<PP&E>                                       4,291,623
<DEPRECIATION>                               (792,710)
<TOTAL-ASSETS>                               4,525,059
<CURRENT-LIABILITIES>                          187,155
<BONDS>                                              0
<PREFERRED-MANDATORY>                                0
<PREFERRED>                                          0
<COMMON>                                             0
<OTHER-SE>                                   4,337,904
<TOTAL-LIABILITY-AND-EQUITY>                 4,525,059
<SALES>                                              0
<TOTAL-REVENUES>                               450,567
<CGS>                                                0
<TOTAL-COSTS>                                  250,730
<OTHER-EXPENSES>                                     0
<LOSS-PROVISION>                                     0
<INTEREST-EXPENSE>                                   0
<INCOME-PRETAX>                                481,007
<INCOME-TAX>                                         0
<INCOME-CONTINUING>                            481,007
<DISCONTINUED>                                       0
<EXTRAORDINARY>                                      0
<CHANGES>                                            0
<NET-INCOME>                                   481,007
<EPS-PRIMARY>                                    66.88
<EPS-DILUTED>                                    66.88
        

</TABLE>
Exhibit 32.1



CERTIFICATION PURSUANT TO

18 U.S.C. Section 1350,

AS ADOPTED PURSUANT TO

SECTION 906 OF THE SARBANES-OXLEY ACT OF 2002



In connection with the Quarterly Report on Form 10-QSB ("Form 10-QSB") of Smart-tek Solutions, Inc. (the "Company") for the quarterly period ended December 31, 2007 as filed with the Securities and Exchange Commission on the date hereof, I, Perry Law, Chief Executive Officer of the Company, certify, pursuant to 18 U.S.C. Section 1350, as adopted pursuant to Section 906 of the Sarbanes-Oxley Act of 2002, that:



(1)

The Form 10-QSB fully complies with the requirements of Section 13(a) or 15(d) of the Securities

Exchange Act of 1934; and



(2)

The information contained in the Form 10-QSB fairly presents, in all material respects, the

financial condition and results of operations of the Company.





/s/ Perry Law

---------------------------

Perry Law

Chief Executive Officer

February 14, 2008
Exhibit 23.1   CONSENT OF INDEPENDENT ACCOUNTANTS  We hereby consent to the incorporation by reference in: (i) the Registration Statement on Form S-3 (No. 333-84156) relating to the Con Edison Automatic Dividend Reinvestment and Cash Payment Plan; (ii) the Registration Statement on Form S-8 (No. 333-04463-99) relating to the Con Edison 1996 Stock Option Plan; (iii) the Registration Statement on Form S-8 (No. 333-86820) relating to The Consolidated Edison Stock Purchase Plan; (iv) the Registration Statement on Form S-8 (No. 333-108903) relating to The Consolidated Edison, Inc. Long Term Incentive Plan and Senior Executive Restricted Stock Awards and (v) the Registration Statements on Form S-3 (No.  333-102005) relating to debt and equity securities of Con Edison of our report dated February 19, 2004 relating to the financial statements and financial statement schedules of Consolidated Edison, Inc. which appears in this Annual Report on Form 10-K.   PricewaterhouseCoopers LLPNew York, NYFebruary 24, 2004
Table 6.  Homeownership Rates by Area:  Second Quarter 2006 and 2007
          (in percent)



                                    Second     Second            90-Percent
Area                                quarter    quarter  Confidence Interval (&plusmn;)a
                                     2006       2007    of 2007 rate of difference

United States.....................      68.7       68.2        0.5         0.4

  Inside Metropolitan
     Statistical Areas............      67.3       66.9        1.3         0.5
    In principal cities...........      54.2       53.8        1.0         0.5
    Not in principal cities
    (suburbs).....................      76.0       75.6        1.2         0.5
  Outside Metropolitan
    Statistical Areas............       75.9       74.9        2.6         0.7

 Northeast........................      65.4       65.4        0.9         0.8
 Midwest..........................      72.5       71.8        1.0         0.7
 South............................      70.4       69.9        0.9         0.6
 West.............................      64.7       64.1        1.2         0.8
 
    aA 90-percent confidence interval is a measure of an estimate's reliability.  The larger the confidence interval is, 
in relation to the size of the estimate, the less reliable the estimate.
Note:  Metropolitan Statistical Area data for 2005 and later are not comparable to earlier data.  Beginning in  first quarter 2005, the Current Population Survey/Housing Vacancy Survey is using the new metropolitan and micropolitan definitions that were announced by the Office of Management and Budget (OMB) in June 2003, and were based on the application of the 2000 standards to Census 2000 data. 
OMB announced updates as of December 2003, based on application of the 2000 standards to more recent Census Bureau estimates.  In this report, outside Metropolitan Statistical Areas includes micropolitan and non-metropolitan statistical areas.  The December 2003 definitions are available at:  http//www.census.gov/population/www/estimates/metrodef.html and http:/www/census.gov/population/estimates/about metro.html.
Table 4.  Estimates of the Total Housing Inventory for the
          United States:  Fourth Quarter 2005 and 2006

(Estimates are in thousands and may not add to total, due to rounding)


                                    Fourth    Fourth         90-Percent
                                   quarter   quarter   Confidence Interval    2006
Type                                 2005      2006    of 2006       of      Percent
                                   estimate  estimate  estimate  difference of total

All housing units.................  124,509   126,651       (X)        (X)       100

  Occupied........................  108,888   109,932       313        284        87
    Owner occupied................   75,163    75,763       627        429        60
    Renter occupied...............   33,725    34,169       538        415        27

  Vacant..........................   15,621    16,719       360        316        13
    Year-round vacant.............   11,857    12,675       354        302        10
      For rent....................    3,626     3,779       173        191         3
      For sale only...............    1,566     2,100       110        129         2
      Rented or sold,
      awaiting occupancy..........    1,059     1,015        70         99         1
      Held off market.............    5,606     5,783       246        213         5
        For occasional use........    1,819     1,897       143        123         1
        Temporarily occupied
        by persons with
        usual residence elsewhere.    1,133     1,137       111         97         1
        For other reasons.........    2,654     2,749       172        148         2

    Seasonal vacant...............    3,764     4,044       231        199         3
    aA 90-percent confidence interval is a measure of an estimate's reliability.  The larger 
the confidence interval is, in relation to the size of the estimate, the less reliable the estimate.
    (X)  Not Applicable.  Since the number of housing units is set equal to an independent national measure, 
there is no sampling error,and hence no confidence interval.
NOTE:  Since first quarter 2003, the Current Population Survey/Housing Vacancy Survey (CPS/HVS) estimates have 
been controlled to independent housing unit counts.  Doing so should make the CPS/HVS estimate of housing units 
more comparable to other Census Bureau housing surveys.
EXHIBIT 32.1



906 CERTIFICATION



The undersigned certify pursuant to 18 U.S.C. § 1350 as adopted pursuant to section 906 of the Sarbanes-Oxley Act of 2002, that:



(1)   The accompanying Quarterly Report on Form 10-Q for the period ended May 31, 2005, fully complies with the requirements of Section 13(a) or 15(d) of the Securities Exchange Act of 1934; and



(2)   The information contained in the accompanying Report fairly presents, in all material respects, the financial condition and results of operations of the Company.





Date:   November 27, 2006
        /s/   David H. RochePresident andChief Executive Officer/s/   Steven M. CaspersExecutive Vice President andChief Financial Officer


---
IV 

113TH CONGRESS 

2D SESSION H. RES. 767 

Expressing support for designation of December 3, 2014, as the ‘‘National 

Day of 3D Printing’’. 

IN THE HOUSE OF REPRESENTATIVES 

DECEMBER 2, 2014 

Mr. FOSTER (for himself, Mr. TAKANO, Mr. RUSH, Mr. HONDA, Mr. HINOJOSA, Mr. LANGEVIN, Mr. ENYART, Mr. CICILLINE, Mr. RYAN of Ohio, 

and Mr. CA ́RDENAS) submitted the following resolution; which was referred to the Committee on Energy and Commerce 

RESOLUTION 

Expressing support for designation of December 3, 2014, 

as the ‘‘National Day of 3D Printing’’. 

Whereas additive manufacturing, also known as 3D printing, 

is a process by which digital 3D design data is used to 

build up a component in layers by depositing material; 

Whereas 3D printing creates an object layer by layer, greatly 

reducing waste and increasing efficiency compared to traditional manufacturing techniques; 

Whereas 3D printing has grown exponentially over the last 

several years; 

Whereas the United States is a world leader in advanced 

manufacturing, and has a history of design innovation; 


tkelley on DSK3SPTVN1PROD with BILLS
2 

•HRES 767 IH 

Whereas public-private partnerships that promote advanced 

manufacturing, such as the Digital Manufacturing and 

Design Innovation Institute and other Manufacturing Innovation Institutes, will develop enhanced digital capabilities to design and test new products and reduce costs in 

manufacturing processes across a variety of industries; 

Whereas 3D printing has widespread applications in home 

construction, home goods production, biotechnology, the 

automotive sector, aerospace, medicine, consumer electronics, and defense; 

Whereas 3D printing has the potential to reshape manufacturing in the United States, by decreasing the cost of 

producing goods for small businesses and local manufacturers; 

Whereas innovation will be increased, as 3D printing reduces 

the time required for product development and market 

launch; and 

Whereas December 3, 2014, would be an appropriate date to 

designate as the ‘‘National Day of 3D Printing’’: Now, 

therefore, be it 

1 Resolved, That the House of Representatives— 

2 (1) supports the designation of the ‘‘National 

3 Day of 3D Printing’’; 

4 (2) recognizes the economic impact of 3D print5 ing and the positive implications of 3D printing for 

6 the United States advanced manufacturing sector; 

7 and 


tkelley on DSK3SPTVN1PROD with BILLS
3 

•HRES 767 IH 

1 (3) encourages the promotion and celebration of 

2 3D printing technology. 

Æ 


tkelley on DSK3SPTVN1PROD with BILLS
merely by an affirmative mark, as /.

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Table 4.  Estimates of the Total Housing Inventory for the
                United States:  Fourth Quarter 1999 and 1998

(Estimates are in thousands and may not add to total, due to rounding)


                                   Fourth    Fourth    Standard
                                   quarter   quarter   error on  Standard     1999
Type                                 1999      1998      1999    error on   Percent
                                   estimate  estimate  estimate difference  of total

All housing units.................  118,827   117,589       234        332       100

  Occupied........................  105,286   104,035       244        346        89
    Owner occupied................   70,455    69,097       243        343        59
    Renter occupied...............   34,831    34,938       197        279        29

  Vacant..........................   13,541    13,554       132        186        11
    Year-round vacant.............   10,428    10,514       117        165         9
      For rent....................    3,046     2,978        64         91         3
      For sale only...............    1,181     1,242        40         58         1
      Rented or sold,
      awaiting occupancy..........      856       909        34         49         1
      Held off market.............    5,345     5,385        85        120         4
        For occasional use........    1,929     1,868        51         72         2
        Temporarily occupied
        by persons with
        usual residence elsewhere.      908       920        35         50         1
        For other reasons.........    2,508     2,597        59         84         2

    Seasonal vacant...............    3,113     3,040        65         92         3
#### Don COLEMAN, Jr. v. Harvey McLEAN, Jr.

No. 62430.

Supreme Court of Louisiana.

June 30, 1978.

In re: Harvey McLean, Jr. apply for cer-tiorari, or writ of review, to the Court of Appeal, Second Circuit. Parish of Caddo.

Writ denied.

SUMMERS, J., would grant the writ.
<TABLE> <S> <C>

<PAGE>

<ARTICLE> 5
<CURRENCY> US DOLLARS

<S>                             <C>
<PERIOD-TYPE>                   YEAR
<FISCAL-YEAR-END>                          FEB-28-1999
<PERIOD-START>                             MAR-01-1998
<PERIOD-END>                               FEB-28-1999
<EXCHANGE-RATE>                                      1
<CASH>                                       2,150,000
<SECURITIES>                                         0
<RECEIVABLES>                                8,382,000
<ALLOWANCES>                                   360,000
<INVENTORY>                                 28,467,000
<CURRENT-ASSETS>                            41,567,000
<PP&E>                                      20,689,000
<DEPRECIATION>                              14,336,000
<TOTAL-ASSETS>                              51,641,000
<CURRENT-LIABILITIES>                       15,003,000
<BONDS>                                     13,987,000
<PREFERRED-MANDATORY>                                0
<PREFERRED>                                          0
<COMMON>                                     3,591,000
<OTHER-SE>                                  18,772,000
<TOTAL-LIABILITY-AND-EQUITY>                51,641,000
<SALES>                                     58,889,000
<TOTAL-REVENUES>                            58,889,000
<CGS>                                       38,897,000
<TOTAL-COSTS>                               55,295,000
<OTHER-EXPENSES>                               158,000
<LOSS-PROVISION>                                     0
<INTEREST-EXPENSE>                           1,161,000
<INCOME-PRETAX>                              2,290,000
<INCOME-TAX>                                 1,168,000
<INCOME-CONTINUING>                          1,122,000
<DISCONTINUED>                                       0
<EXTRAORDINARY>                                      0
<CHANGES>                                            0
<NET-INCOME>                                 1,122,000
<EPS-BASIC>                                     0.28
<EPS-DILUTED>                                     0.27


</TABLE>
UNITEDSTATESENVIRONMENTALPROTECTIONAGENCYREGION7Ms.ShelleySchneiderAdministrator11201RennerBoulevardLenexa,Kansas66219222015NebraskaDepartmentofEnvironmentalQualitySuite400,TheAtrium1200NorthStreetP.O.Box98922Lincoln,Nebraska68509-8922DearMs.Schneider:ThankyoufortherecommendationsregardingtheattainmentstatusselectedareasinNebraskaunderthe2010sulfurdioxidenationalambientairqualitystandardthatyouragencysentusonSeptember18,2015.Asyouknow,wearesubjecttoaMarch2,2015,courtorderdirectingustopromulgateSOzdesignationsfortheseareasundersection107oftheCleanAirActbyJuly2,2016.Specifically,wearerequiredtopromulgatedesignationsfortheseareasbecausetheycontainsourcesmeetingtheSOzemissionscriteriaidentifiedintheconsentdecree.TheinformationyouprovidedonSeptember18,2015,willgreatlyhelpusmeetthisduty,andensureprotectionofpublichealthinNebraska.Inadditiontotheinformationyouhaveprovided,wehaverecentlyreceivedmodelingandrelatedinformationfromtheSierraClubthatisrelevanttoasubsetoftheareastobeaddressedbyJuly2,2016.Inyourstate,wehavereceivedinformationpertinenttotheareanearthefollowingpowerplants:NPPDSheldonStationandNPPDGeraldGentleman.Wehavealreadyprovidedthisinformationtoyourstaff.Pleaseletusknowifyouhaveanyquestionsabouttheinformationwehavereceivedorifyouneedanyadditionalinformation.IamwritingtosolicityourreviewoftheinformationthatSierraClubhasprovided,sothattheU.SEnvironmentProtectionAgencycanbaseitsdesignationsdecisionsonthebestavailableinformation.TheCleanAirActprovidesfordesignationstobedevelopedthroughapartnershipofstateagenciesandtheEPA;however,wealsobelieveitisimportanttoconsidersignificantandrelevantinformationthatmembersofthepublicprovidetous.ConsistentwiththestructureoftheCleanAirAct,webelievethatthebestfirststepinaddressingthisinformationwouldbeforyouragencytoprovideitsreviewofthisinformation.SincetheSierraClub'srecommendationdiffersfromyourrecommendation,wewouldwelcomeyourcommentarygenerallyontheinformationaswellasyourdetailedreviewoftheelementsofSierraClub'sanalysis.Totheextentpracticable,wewouldappreciatequantitativecomparisonsofdatausedinSierraClub'sanalysiscomparedtothedatausedinyouranalysis,tohelpusevaluatetheelementsofthetwoanalyses.®PrintedonRecycledPaperWewouldappreciateyourreviewofSierraClub'sinformationbyNovember17,2015.Yourtimelyreviewwouldprovideusvaluableassistanceinourreviewofyourdesignationrecommendationsanddevelopmentofourintendeddesignations,whichweareaimingtocompletebytheendofJanuary2016.Wewillthenpublishnoticeofourintendeddesignationsforpubliccomment,and,asrequiredbytheCleanAirAct,promulgatefinaldesignationsnosoonerthan120daysaftergivingyounoticeofthem.PleasecontactDavidPeterofmystaffat(913)551-7397oratpeter.david@epa.govifyouhaveanyquestionsaboutthisrequest.Sincerely,BeckyWeberDirectorAirandWasteManagementDivision
Table 7.  Homeownership Rates by Age of Householder:  Third Quarter 1997 and 1996

                              Third      Third    Standard   Standard
Age of householder           Quarter    Quarter   error on   error on
                              1997       1996     1997 rate difference

United States..............      66.0       65.6        0.2        0.2

    Less than 25 years.....      18.3       18.2        0.6        0.9
    25 to 29 years.........      34.5       34.5        0.6        0.8
    30 to 34 years.........      53.4       52.8        0.6        0.8
    35 to 39 years.........      62.9       63.0        0.5        0.7
    40 to 44 years.........      70.1       69.7        0.5        0.7
    45 to 49 years.........      74.8       74.8        0.5        0.7
    50 to 54 years.........      78.2       77.4        0.5        0.8
    55 to 59 years.........      79.9       79.7        0.6        0.8
    60 to 64 years.........      80.2       79.8        0.6        0.9
    65 to 69 years.........      81.4       82.1        0.6        0.8
    70 to 74 years.........      82.3       80.7        0.6        0.9
    75 years and over......      76.1       75.3        0.5        0.7

      Less than 35 years...      38.9       39.0        0.4        0.5
      35 to 44 years.......      66.5       66.3        0.4        0.5
      45 to 54 years.......      76.3       75.9        0.4        0.5
      55 to 64 years.......      80.1       79.7        0.4        0.6
      65 years and over....      79.2       78.6        0.3        0.5