46 CFR 171.073 - Treatment of stepped and recessed bulkheads in Type II subdivision.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Treatment of stepped and recessed bulkheads in Type II... Treatment of stepped and recessed bulkheads in Type II subdivision. (a) A main transverse watertight bulkhead may not be stepped unless additional watertight bulkheads are located as shown in Figure 171.067(a...
Indirect myosin immunocytochemistry for the identification of fibre types in equine skeletal muscle
NASA Technical Reports Server (NTRS)
Sinha, A. K.; Rose, R. J.; Pozgaj, I.; Hoh, J. F.
1992-01-01
The histochemical ATPase method for muscle fibre typing was first described by Brooke and Kaiser in 1970. However, problems have been found with the subdivision of type II fibres using this technique. To determine whether indirect myosin immunocytochemistry using anti-slow (5-4D), anti-fast (1A10) and anti-fast red (5-2B) monoclonal antibodies with cross reactivity for type I, II and IIa fibres, respectively, in a number of species, could identify three fibre types in equine skeletal muscle, data on fibre type composition and fibre size obtained using the two different techniques were compared. Results indicate that different myosin heavy chains can coexist in single equine muscle fibres. Type I and type II fibres were identified by immunocytochemistry, but subdivision of type II fibres was not possible. Although the percentage of type I and type II fibres was not significantly different for the two techniques, a few fibres reacted with both the 1A10 and 5-4D antibodies.
Functional condition of masseters muscles of patients with class ?? subdivision.
Kuroyedova, Vera D; Makarova, Alexandra N; Chicor, Tatyana A
Main functional characteristics of masticator muscles in patients with class ?? malocclusions is activity dominance of m. temporalis in comparison with m. ?asseter. We have not found datum about functional status of the masticators in patients with class II subdivision. The purpose of our study was to investigate the functional characteristics of m. ?asseter, m. temporalis in adult patients with class II subdivision malocclusion. There have been carried out the surface electromyographic study of m. masseter, m. temporalis in 17 adult patients with class II subdivision. It was realized quantitative analysis of 271 electromyogram, it was determined the average bioelectric activity, index activity, symmetry and torsion index. It was observed predominance of the bioelectrical activity of m. temporales on m. masseter for all persons with class II subdivision. Bioelectrical activity for m. masseter was bigger on side of distal ratio and for m. temporales on side of neutral ratio. In class ?? subdivision right, the mandible was deviated to the left side and in class ?? subdivision left is deviated to the right side. Thus, rotational moment generated during compression of the jaws, causes deviation of the lower jaw to the side, with a neutral molar ratio. During voluntary chewing bioelectrical activity of m. masseter and m. temporalis was higher in the right side. In accordance with the functional condition of the masticatory muscles of class II subdivision is characterized with functional features of distal occlusion.
Wood anatomy of Corynocarpaceae is consistent with Cucurbitalean placement
Sherwin Carlquist; Regis B. Miller
2001-01-01
Corynocarpaceae group closely with Coriariaceae and Cucurbitaceae by axial parenchyma types (vasicentric scanty plus apotracheal banded plus ray- adjacent, all in strands of 1-2 cells) and Homogeneous Type II rays. Begoniaceae, Datiscaceae s. s., and Tetramelaceae group on the basis of absence of banded axial parenchyma and subdivision of the vasicentric parenchyma...
46 CFR 171.080 - Damage stability standards for vessels with Type I or Type II subdivision.
Code of Federal Regulations, 2010 CFR
2010-10-01
... water through the structure in any direction under a head of water for which the surrounding structure is designed. (4) Weathertight means capable of preventing the penetration of water, even boarding... a longitudinal extent of 10 feet (3 meters) plus 0.03L, the final angle of equilibrium must not...
Processes and subdivisions in diogenites, a multivariate statistical analysis
NASA Technical Reports Server (NTRS)
Harriott, T. A.; Hewins, R. H.
1984-01-01
Multivariate statistical techniques used on diogenite orthopyroxene analyses show the relationships that occur within diogenites and the two orthopyroxenite components (class I and II) in the polymict diogenite Garland. Cluster analysis shows that only Peckelsheim is similar to Garland class I (Fe-rich) and the other diogenites resemble Garland class II. The unique diogenite Y 75032 may be related to type I by fractionation. Factor analysis confirms the subdivision and shows that Fe does not correlate with the weakly incompatible elements across the entire pyroxene composition range, indicating that igneous fractionation is not the process controlling total diogenite composition variation. The occurrence of two groups of diogenites is interpreted as the result of sampling or mixing of two main sequences of orthopyroxene cumulates with slightly different compositions.
46 CFR 171.080 - Damage stability standards for vessels with Type I or Type II subdivision.
Code of Federal Regulations, 2014 CFR
2014-10-01
... following conditions in the final stage of flooding: (1) On a vessel required to survive assumed damage with... in the final stage of flooding and to meet the conditions set forth in paragraphs (f) (8) and (9) of this section in each intermediate stage of flooding. For the purposes of establishing boundaries to...
46 CFR 171.080 - Damage stability standards for vessels with Type I or Type II subdivision.
Code of Federal Regulations, 2012 CFR
2012-10-01
... following conditions in the final stage of flooding: (1) On a vessel required to survive assumed damage with... in the final stage of flooding and to meet the conditions set forth in paragraphs (f) (8) and (9) of this section in each intermediate stage of flooding. For the purposes of establishing boundaries to...
46 CFR 171.080 - Damage stability standards for vessels with Type I or Type II subdivision.
Code of Federal Regulations, 2013 CFR
2013-10-01
... following conditions in the final stage of flooding: (1) On a vessel required to survive assumed damage with... in the final stage of flooding and to meet the conditions set forth in paragraphs (f) (8) and (9) of this section in each intermediate stage of flooding. For the purposes of establishing boundaries to...
46 CFR 171.080 - Damage stability standards for vessels with Type I or Type II subdivision.
Code of Federal Regulations, 2011 CFR
2011-10-01
... to which the vessel heels after sustained damage, are swung out if necessary, fully loaded and ready...; and (C) Survival craft on the side of the vessel opposite that to which the vessel heels remain stowed... damage occurs. (3) The estimated maximum angle of heel before equalization must be approved by the...
Code of Federal Regulations, 2010 CFR
2010-10-01
... is the smaller of the following: (i) The value from Table 171.065(a). (ii) 0.50. (b) For a vessel... tanks of coal or oil fuel bunkers, chain lockers, fresh water tanks, and of all spaces that, in the full...
11. Dry Dock No. 4. Plan. Subdivision II (Frederic R. ...
11. Dry Dock No. 4. Plan. Subdivision II (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
Huang, Mingna; Hu, Yun; Yu, Jinfeng; Sun, Jicheng; Ming, Ye
2017-01-01
Objective Treating Class II subdivision malocclusion with asymmetry has been a challenge for orthodontists because of the complicated characteristics of asymmetry. This study aimed to explore the characteristics of dental and skeletal asymmetry in Class II subdivision malocclusion, and to assess the relationship between the condyle-glenoid fossa and first molar. Methods Cone-beam computed tomographic images of 32 patients with Class II subdivision malocclusion were three-dimensionally reconstructed using the Mimics software. Forty-five anatomic landmarks on the reconstructed structures were selected and 27 linear and angular measurements were performed. Paired-samples t-tests were used to compare the average differences between the Class I and Class II sides; Pearson correlation coefficient (r) was used for analyzing the linear association. Results The faciolingual crown angulation of the mandibular first molar (p < 0.05), sagittal position of the maxillary and mandibular first molars (p < 0.01), condylar head height (p < 0.01), condylar process height (p < 0.05), and angle of the posterior wall of the articular tubercle and coronal position of the glenoid fossa (p < 0.01) were significantly different between the two sides. The morphology and position of the condyle-glenoid fossa significantly correlated with the three-dimensional changes in the first molar. Conclusions Asymmetry in the sagittal position of the maxillary and mandibular first molars between the two sides and significant lingual inclination of the mandibular first molar on the Class II side were the dental characteristics of Class II subdivision malocclusion. Condylar morphology and glenoid fossa position asymmetries were the major components of skeletal asymmetry and were well correlated with the three-dimensional position of the first molar. PMID:28861389
Minich, Craig M; Araújo, Eustáquio A; Behrents, Rolf G; Buschang, Peter H; Tanaka, Orlando M; Kim, Ki Beom
2013-07-01
The purpose of this study was to determine whether Angle Class II subdivision malocclusions have skeletal or dental asymmetries between the Class II and Class I sides. A sample of 54 untreated Angle Class II subdivision patients with pretreatment photos and cone-beam computed tomography (CBCT) scans was used. The photos were used to identify the Class II subdivision malocclusion and to record the amount of crowding per quadrant. Landmarks were plotted on each CBCT volume so that direct 3-dimensional measurements could be made to compare the positions and dimensions of the skeletal and dental structures on the Class II side vs the Class I side. Significant differences were found for 2 skeletal measurements: the position of the maxilla relative to the cranial base, and the mandibular dimension from the mandibular foramen to the mental foramen. Statistically significant dental differences were found for the position of the mandibular first molars and canines in relation to the maxilla and the mandible. Statistically significant differences were found for the maxillary first molars and canines in relation to the mandible. There were significant skeletal and dental differences between the Class I and Class II sides. The dental asymmetries accounted for about two thirds of the total asymmetry. Copyright © 2013 American Association of Orthodontists. Published by Mosby, Inc. All rights reserved.
46 CFR 171.070 - Subdivision requirements--Type II.
Code of Federal Regulations, 2011 CFR
2011-10-01
... each condition of loading and operation, it complies with the standard of flooding specified in Table... in each condition of loading and operation, it meets the standard of flooding specified in Table 171... flooding specified in Table 171.070(b), except that a ferry vessel in Great Lakes service must at least...
46 CFR 171.070 - Subdivision requirements--Type II.
Code of Federal Regulations, 2012 CFR
2012-10-01
... each condition of loading and operation, it complies with the standard of flooding specified in Table... in each condition of loading and operation, it meets the standard of flooding specified in Table 171... flooding specified in Table 171.070(b), except that a ferry vessel in Great Lakes service must at least...
46 CFR 171.070 - Subdivision requirements--Type II.
Code of Federal Regulations, 2013 CFR
2013-10-01
... each condition of loading and operation, it complies with the standard of flooding specified in Table... in each condition of loading and operation, it meets the standard of flooding specified in Table 171... flooding specified in Table 171.070(b), except that a ferry vessel in Great Lakes service must at least...
46 CFR 171.070 - Subdivision requirements--Type II.
Code of Federal Regulations, 2014 CFR
2014-10-01
... each condition of loading and operation, it complies with the standard of flooding specified in Table... in each condition of loading and operation, it meets the standard of flooding specified in Table 171... flooding specified in Table 171.070(b), except that a ferry vessel in Great Lakes service must at least...
Tsuji, K; Tsien, H C; Hanson, R S; DePalma, S R; Scholtz, R; LaRoche, S
1990-01-01
16S ribosomal RNAs (rRNA) of 12 methylotrophic bacteria have been almost completely sequenced to establish their phylogenetic relationships. Methylotrophs that are physiologically related are phylogenetically diverse and are scattered among the purple eubacteria (class Proteobacteria). Group I methylotrophs can be classified in the beta- and the gamma-subdivisions and group II methylotrophs in the alpha-subdivision of the purple eubacteria, respectively. Pink-pigmented facultative and non-pigmented obligate group II methylotrophs form two distinctly separate branches within the alpha-subdivision. The secondary structures of the 16S rRNA sequences of 'Methylocystis parvus' strain OBBP, 'Methylosinus trichosporium' strain OB3b, 'Methylosporovibrio methanica' strain 81Z and Hyphomicrobium sp. strain DM2 are similar, and these non-pigmented obligate group II methylotrophs form one tight cluster in the alpha-subdivision. The pink-pigmented facultative methylotrophs, Methylobacterium extorquens strain AM1, Methylobacterium sp. strain DM4 and Methylobacterium organophilum strain XX form another cluster within the alpha-subdivision. Although similar in phenotypic characteristics, Methylobacterium organophilum strain XX and Methylobacterium extorquens strain AM1 are clearly distinguishable by their 16S rRNA sequences. The group I methylotrophs, Methylophilus methylotrophus strain AS1 and methylotrophic species DM11, which do not utilize methane, are similar in 16S rRNA sequence to bacteria in the beta-subdivision. The methane-utilizing, obligate group I methanotrophs, Methylococcus capsulatus strain BATH and Methylomonas methanica, are placed in the gamma-subdivision. The results demonstrate that it is possible to distinguish and classify the methylotrophic bacteria using 16S rRNA sequence analysis.
26 CFR 1.119-1 - Meals and lodging furnished for the convenience of the employer.
Code of Federal Regulations, 2014 CFR
2014-04-01
... are furnished for the convenience of the employer is one of fact to be determined by analysis of all the facts and circumstances in each case. If the tests described in subdivisions (i) and (ii) of this... be based upon an examination of all the surrounding facts and circumstances. In subdivision (ii) of...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-26
... Belt Subdivision via Dale southeast wye or Dale northeast wye at milepost QSL 1.7, a distance of 2.3... at Dale and milepost QIB 3.2 at CP Woods; (ii) Crawfordsville Branch extending between milepost QSC 1... milepost QIB 5.9 at Dale and milepost QIB 2.9 at CP 1; and (ii) Indianapolis Terminal Subdivision extending...
1984-01-01
Subtitle) PHASE II TESTING AT 32BA3, S. TYPE OF REPORT & PERIOD COVERED BARNES COUNTY, NORTH DAKOTA. Final 6. PERFORMING ORG. REPORT NUMBER 7 . AUTHOR(a...3 4. Countour map of 32BA418 showing locations of auger test units, 1 m2 test units, cutbank profile (A - A’) and grid system ......... 7 5...Physiographic subdivisions, North Dakota ....... ............. 9 6. Vegetation zones, North Dakota ...... ................... .11 7 . Great Plains
46 CFR 171.070 - Subdivision requirements--Type II.
Code of Federal Regulations, 2010 CFR
2010-10-01
...) Paragraph (c) of this section applies to a ferry vessel that— (1) Is 150 feet (46 meters) or less in length... spaced as follows: (1) If the LBP of the vessel is 143 feet (43.5 meters) or more, each main transverse watertight bulkhead must be at least 10 feet (3 meters) plus 3 percent of the vessel's LBP from— (i) Every...
Trypanosoma cruzi I: Towards the need of genetic subdivision?, Part II.
Ramírez, Juan David; Hernández, Carolina
2018-08-01
Chagas disease is a complex zoonosis caused by the kinetoplastid parasite Trypanosoma cruzi. This protozoan exhibits remarkable genetic diversity evinced in at least six Discrete Typing Units (DTUs) with the foreseen emergence of a genotype associated to bats (TcBat). T. cruzi I is the DTU with the broadest geographical distribution and associated to severe cardiomyopathies. In 2011, we published a review questioning the need for genetic subdivision within TcI. However, after six years of intensive research. Herein, we attempted to determine if TcI should be subdivided or not in the light of the current genetic, biological, clinical and ecological data. The future perspectives are discussed. Copyright © 2017 Elsevier B.V. All rights reserved.
Hanson, R S; Hanson, T E
1996-01-01
Methane-utilizing bacteria (methanotrophs) are a diverse group of gram-negative bacteria that are related to other members of the Proteobacteria. These bacteria are classified into three groups based on the pathways used for assimilation of formaldehyde, the major source of cell carbon, and other physiological and morphological features. The type I and type X methanotrophs are found within the gamma subdivision of the Proteobacteria and employ the ribulose monophosphate pathway for formaldehyde assimilation, whereas type II methanotrophs, which employ the serine pathway for formaldehyde assimilation, form a coherent cluster within the beta subdivision of the Proteobacteria. Methanotrophic bacteria are ubiquitous. The growth of type II bacteria appears to be favored in environments that contain relatively high levels of methane, low levels of dissolved oxygen, and limiting concentrations of combined nitrogen and/or copper. Type I methanotrophs appear to be dominant in environments in which methane is limiting and combined nitrogen and copper levels are relatively high. These bacteria serve as biofilters for the oxidation of methane produced in anaerobic environments, and when oxygen is present in soils, atmospheric methane is oxidized. Their activities in nature are greatly influenced by agricultural practices and other human activities. Recent evidence indicates that naturally occurring, uncultured methanotrophs represent new genera. Methanotrophs that are capable of oxidizing methane at atmospheric levels exhibit methane oxidation kinetics different from those of methanotrophs available in pure cultures. A limited number of methanotrophs have the genetic capacity to synthesize a soluble methane monooxygenase which catalyzes the rapid oxidation of environmental pollutants including trichloroethylene. PMID:8801441
Hanson, John A.; Small, Ted A.
1995-01-01
All of the hydrogeologic subdivisions within the Edwards aquifer outcrop in Hays County have some porosity and permeability. The most porous and permeable appear to be hydrogeologic subdivision VI, the Kirschberg evaporite member of the Kainer Formation; hydrogeologic subdivision III, the leached and collapsed members, undivided; and hydrogeologic subdivision II, the cyclic and marine members, undivided, of the Person Formation. The two types of porosity in the Edwards aquifer outcrop are fabric selective, which is related to depositional or diagenetic elements and typically exists in specific stratigraphic horizons; and not fabric selective, which can exist in any lithostratigraphic horizon. Permeability, the capacity of porous rock to transmit water, depends on the physical properties of the rock such as size, shape, and distribution of pores, and fissuring and dissolution. Two faults, San Marcos Springs and Mustang Branch, completely, or almost completely, offset the Edwards aquifer by juxtaposing Edwards aquifer limestone against nearly impermeable upper confining units along parts of their traces across Hays County. These faults are thought to be barriers, or partial barriers, to groundwater flow where the beds are juxtaposed. In Hays County, the Edwards aquifer probably is most vulnerable to surface contamination in the rapidly urbanizing areas on the Edwards aquifer outcrop. Contamination can result from spills or leakage of hazardous materials; or runoff on the intensely faulted and fractured, karstic limestone outcrops characteristic of the recharge zone.
15. Dry Dock No. 4. Longitudinal Section. Subdivision Nos. I ...
15. Dry Dock No. 4. Longitudinal Section. Subdivision Nos. I and II (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building no. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2013 CFR
2013-07-01
... illiteracy rate of such language minority citizens in the political subdivision is higher than the national illiteracy rate. (2) State approach. A political subdivision is covered if— (i) It is located in a state in... limited-English proficient; (ii) The illiteracy rate of such language minority citizens in the state is...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2014 CFR
2014-07-01
... illiteracy rate of such language minority citizens in the political subdivision is higher than the national illiteracy rate. (2) State approach. A political subdivision is covered if— (i) It is located in a state in... limited-English proficient; (ii) The illiteracy rate of such language minority citizens in the state is...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2012 CFR
2012-07-01
... illiteracy rate of such language minority citizens in the political subdivision is higher than the national illiteracy rate. (2) State approach. A political subdivision is covered if— (i) It is located in a state in... limited-English proficient; (ii) The illiteracy rate of such language minority citizens in the state is...
2013-04-24
Department/Center: Air Force Postgraduate Dental School (AFPDS), Tri- Service Orthodontic Dental School 4. Phone: (21 0) 292-9038 5. Type of clearance...June 2013 CHAIR OR DEPARTMENT HEAD APPROVAL 1. Name: Curtis M. Marsh, Col, USAF, DMD 2. School/Dept. : AFPDS/Tri-Service Orthodontic Dental School...SCHOOL ORTHODONTIC FLIGHT 2133 PEPPERRELL STREET, BLDG 3352 JOINT BASE SAN ANTONIO- LACKLAND TEXAS 78236-5345 The author hereby certifies that the use
78 FR 70391 - Shipping Coordinating Committee; Notice of Committee Meeting
Federal Register 2010, 2011, 2012, 2013, 2014
2013-11-25
... II-1 subdivision and damage stability regulations --Development of guidelines on safe return to port... SOLAS regulation II-1/13.6 on means of escape from ro-ro cargo spaces --Classification of offshore...
46 CFR 171.067 - Treatment of stepped and recessed bulkheads in Type I subdivision.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Treatment of stepped and recessed bulkheads in Type I... Treatment of stepped and recessed bulkheads in Type I subdivision. (a) For the purpose of this section— (1) The main transverse watertight bulkhead immediately forward of a stepped bulkhead is referred to as...
27 CFR 30.22 - Hydrometers and thermometers.
Code of Federal Regulations, 2013 CFR
2013-04-01
... subdivisions of degrees as follows: Type Range Subdivision Pencil type 10° to 100° 1° V-back 10° to 100° 1° Glass shell (earlier model) 40° to 100° 1/2° Glass shell (later model) 40° to 100° 1/4° (Sec. 201, Pub...
27 CFR 30.22 - Hydrometers and thermometers.
Code of Federal Regulations, 2012 CFR
2012-04-01
... subdivisions of degrees as follows: Type Range Subdivision Pencil type 10° to 100° 1° V-back 10° to 100° 1° Glass shell (earlier model) 40° to 100° 1/2° Glass shell (later model) 40° to 100° 1/4° (Sec. 201, Pub...
27 CFR 30.22 - Hydrometers and thermometers.
Code of Federal Regulations, 2014 CFR
2014-04-01
... subdivisions of degrees as follows: Type Range Subdivision Pencil type 10° to 100° 1° V-back 10° to 100° 1° Glass shell (earlier model) 40° to 100° 1/2° Glass shell (later model) 40° to 100° 1/4° (Sec. 201, Pub...
Genetic Diversity and Population Structure of Vibrio cholerae
Beltrán, Pilar; Delgado, Gabriela; Navarro, Armando; Trujillo, Francisca; Selander, Robert K.; Cravioto, Alejandro
1999-01-01
Multilocus enzyme electrophoresis (MLEE) of 397 Vibrio cholerae isolates, including 143 serogroup reference strains and 244 strains from Mexico and Guatemala, identified 279 electrophoretic types (ETs) distributed in two major divisions (I and II). Linkage disequilibrium was demonstrated in both divisions and in subdivision Ic of division I but not in subdivision Ia, which includes 76% of the ETs. Despite this evidence of relatively frequent recombination, clonal lineages may persist for periods of time measured in at least decades. In addition to the pandemic clones of serogroups O1 and O139, which form a tight cluster of four ETs in subdivision Ia, MLEE analysis identified numerous apparent clonal lineages of non-O1 strains with intercontinental distributions. A clone of serogroup O37 that demonstrated epidemic potential in the 1960s is closely related to the pandemic O1/O139 clones, but the nontoxigenic O1 Inaba El Tor reference strain is not. A strain of serogroup O22, which has been identified as the most likely donor of exogenous rfb region DNA to the O1 progenitor of the O139 clone, is distantly related to the O1/O139 clones. The close evolutionary relationships of the O1, O139, and O37 epidemic clones indicates that new cholera clones are likely to arise by the modification of a lineage that is already epidemic or is closely related to such a clone. PMID:9986816
Genetic diversity and population structure of Vibrio cholerae.
Beltrán, P; Delgado, G; Navarro, A; Trujillo, F; Selander, R K; Cravioto, A
1999-03-01
Multilocus enzyme electrophoresis (MLEE) of 397 Vibrio cholerae isolates, including 143 serogroup reference strains and 244 strains from Mexico and Guatemala, identified 279 electrophoretic types (ETs) distributed in two major divisions (I and II). Linkage disequilibrium was demonstrated in both divisions and in subdivision Ic of division I but not in subdivision Ia, which includes 76% of the ETs. Despite this evidence of relatively frequent recombination, clonal lineages may persist for periods of time measured in at least decades. In addition to the pandemic clones of serogroups O1 and O139, which form a tight cluster of four ETs in subdivision Ia, MLEE analysis identified numerous apparent clonal lineages of non-O1 strains with intercontinental distributions. A clone of serogroup O37 that demonstrated epidemic potential in the 1960s is closely related to the pandemic O1/O139 clones, but the nontoxigenic O1 Inaba El Tor reference strain is not. A strain of serogroup O22, which has been identified as the most likely donor of exogenous rfb region DNA to the O1 progenitor of the O139 clone, is distantly related to the O1/O139 clones. The close evolutionary relationships of the O1, O139, and O37 epidemic clones indicates that new cholera clones are likely to arise by the modification of a lineage that is already epidemic or is closely related to such a clone.
27 CFR 30.22 - Hydrometers and thermometers.
Code of Federal Regulations, 2011 CFR
2011-04-01
... 105 to 125 0.2° N 125 to 145 0.2° P 145 to 165 0.2° Q 165 to 185 0.2° R 185 to 206 0.2° Thermometers are designated by type according to range of degrees Fahrenheit and are provided in ranges and subdivisions of degrees as follows: Type Range Subdivision Pencil type 10° to 100° 1° V-back 10° to 100° 1...
Testing block subdivision algorithms on block designs
NASA Astrophysics Data System (ADS)
Wiseman, Natalie; Patterson, Zachary
2016-01-01
Integrated land use-transportation models predict future transportation demand taking into account how households and firms arrange themselves partly as a function of the transportation system. Recent integrated models require parcels as inputs and produce household and employment predictions at the parcel scale. Block subdivision algorithms automatically generate parcel patterns within blocks. Evaluating block subdivision algorithms is done by way of generating parcels and comparing them to those in a parcel database. Three block subdivision algorithms are evaluated on how closely they reproduce parcels of different block types found in a parcel database from Montreal, Canada. While the authors who developed each of the algorithms have evaluated them, they have used their own metrics and block types to evaluate their own algorithms. This makes it difficult to compare their strengths and weaknesses. The contribution of this paper is in resolving this difficulty with the aim of finding a better algorithm suited to subdividing each block type. The proposed hypothesis is that given the different approaches that block subdivision algorithms take, it's likely that different algorithms are better adapted to subdividing different block types. To test this, a standardized block type classification is used that consists of mutually exclusive and comprehensive categories. A statistical method is used for finding a better algorithm and the probability it will perform well for a given block type. Results suggest the oriented bounding box algorithm performs better for warped non-uniform sites, as well as gridiron and fragmented uniform sites. It also produces more similar parcel areas and widths. The Generalized Parcel Divider 1 algorithm performs better for gridiron non-uniform sites. The Straight Skeleton algorithm performs better for loop and lollipop networks as well as fragmented non-uniform and warped uniform sites. It also produces more similar parcel shapes and patterns.
26 CFR 53.4946-1 - Definitions and special rules.
Code of Federal Regulations, 2010 CFR
2010-04-01
... foundation), and (ii) With respect to any act or failure to act, any employee of the foundation having final authority or responsibility (either officially or effectively) with respect to such act or failure to act... failure to act, any person described in subdivision (ii) of this subparagraph who has authority merely to...
Chen, Chun-Chun; Winkler, Candace M; Pfenning, Andreas R; Jarvis, Erich D
2013-11-01
In our companion study (Jarvis et al. [2013] J Comp Neurol. doi: 10.1002/cne.23404) we used quantitative brain molecular profiling to discover that distinct subdivisions in the avian pallium above and below the ventricle and the associated mesopallium lamina have similar molecular profiles, leading to a hypothesis that they may form as continuous subdivisions around the lateral ventricle. To explore this hypothesis, here we profiled the expression of 16 genes at eight developmental stages. The genes included those that define brain subdivisions in the adult and some that are also involved in brain development. We found that phyletic hierarchical cluster and linear regression network analyses of gene expression profiles implicated single and mixed ancestry of these brain regions at early embryonic stages. Most gene expression-defined pallial subdivisions began as one ventral or dorsal domain that later formed specific folds around the lateral ventricle. Subsequently a clear ventricle boundary formed, partitioning them into dorsal and ventral pallial subdivisions surrounding the mesopallium lamina. These subdivisions each included two parts of the mesopallium, the nidopallium and hyperpallium, and the arcopallium and hippocampus, respectively. Each subdivision expression profile had a different temporal order of appearance, similar in timing to the order of analogous cell types of the mammalian cortex. Furthermore, like the mammalian pallium, expression in the ventral pallial subdivisions became distinct during prehatch development, whereas the dorsal portions did so during posthatch development. These findings support the continuum hypothesis of avian brain subdivision development around the ventricle and influence hypotheses on homologies of the avian pallium with other vertebrates. Copyright © 2013 Wiley Periodicals, Inc.
Large-area landslide susceptibility with optimized slope-units
NASA Astrophysics Data System (ADS)
Alvioli, Massimiliano; Marchesini, Ivan; Reichenbach, Paola; Rossi, Mauro; Ardizzone, Francesca; Fiorucci, Federica; Guzzetti, Fausto
2017-04-01
A Slope-Unit (SU) is a type of morphological terrain unit bounded by drainage and divide lines that maximize the within-unit homogeneity and the between-unit heterogeneity across distinct physical and geographical boundaries [1]. Compared to other terrain subdivisions, SU are morphological terrain unit well related to the natural (i.e., geological, geomorphological, hydrological) processes that shape and characterize natural slopes. This makes SU easily recognizable in the field or in topographic base maps, and well suited for environmental and geomorphological analysis, in particular for landslide susceptibility (LS) modelling. An optimal subdivision of an area into a set of SU depends on multiple factors: size and complexity of the study area, quality and resolution of the available terrain elevation data, purpose of the terrain subdivision, scale and resolution of the phenomena for which SU are delineated. We use the recently developed r.slopeunits software [2,3] for the automatic, parametric delineation of SU within the open source GRASS GIS based on terrain elevation data and a small number of user-defined parameters. The software provides subdivisions consisting of SU with different shapes and sizes, as a function of the input parameters. In this work, we describe a procedure for the optimal selection of the user parameters through the production of a large number of realizations of the LS model. We tested the software and the optimization procedure in a 2,000 km2 area in Umbria, Central Italy. For LS zonation we adopt a logistic regression model implemented in an well-known software [4,5], using about 50 independent variables. To select the optimal SU partition for LS zonation, we want to define a metric which is able to quantify simultaneously: (i) slope-unit internal homogeneity (ii) slope-unit external heterogeneity (iii) landslide susceptibility model performance. To this end, we define a comprehensive objective function S, as the product of three normalized objective functions dealing with the points (i)-(ii)-(iii) independently. We use an intra-segment variance function V, the Moran's autocorrelation index I and the AUCROC function R arising from the application of the logistic regression model. Maximization of the objective function S = f(I,V,R) as a function of the r.slopeunits input parameters provides an objective and reproducible way to select the optimal parameter combination for a proper SU subdivision for LS modelling. We further perform an analysis of the statistical significance of the LS models as a function of the r.slopeunits input parameters, focusing on the degree of coarseness of each subdivision. We find that the LRM, when applied to subdivisions with large average SU size, has a very poor statistical significance, resulting in only few (5%, typically lithological) variables being used in the regression due to the large heterogeneity of all variables within each unit, while up to 35% of the variables are used when SU are very small. This behavior was largely expected and provides further evidence that an objective method to select SU size is highly desirable. [1] Guzzetti, F. et al., Geomorphology 31, (1999) 181-216 [2] Alvioli, M. et al., Geoscientific Model Development 9 (2016), 3975-3991 [3] http://geomorphology.irpi.cnr.it/tools/slope-units [4] Rossi, M. et al., Geomorphology 114, (2010) 129-142 [5] Rossi, M. and Reichenbach, P., Geoscientific Model Development 9 (2016), 3533-3543
40 CFR 35.6105 - State-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2010 CFR
2010-07-01
... supplies), the nature of the release (contaminant type and affected media), past response actions at each... 300.510(c)(1) of the NCP. In addition, even if a political subdivision is designated as being... and maintenance activities in the event of default by the political subdivision. (2) Cost sharing. The...
Denver area post-World War II suburbs.
DOT National Transportation Integrated Search
2011-02-01
Historic Residential Subdivisions of Metropolitan Denver, 1940-1965, documents the development of : mid-century suburbs in CDOT Region 6. The report follows the National Register of Historic Places : format for multiple property documentation, and is...
Elezaby, Mai; Li, Geng; Bhargavan-Chatfield, Mythreyi; Burnside, Elizabeth S; DeMartini, Wendy B
2018-05-01
Purpose To determine the utilization and positive predictive value (PPV) of the American College of Radiology (ACR) Breast Imaging Data and Reporting System (BI-RADS) category 4 subdivisions in diagnostic mammography in the National Mammography Database (NMD). Materials and Methods This study involved retrospective review of diagnostic mammography data submitted to the NMD from January 1, 2008 to December 30, 2014. Utilization rates of BI-RADS category 4 subdivisions were compared by year, facility (type, location, census region), and examination (indication, finding type) characteristics. PPV3 (positive predictive value for biopsies performed) was calculated overall and according to category 4 subdivision. The χ 2 test was used to test for significant associations. Results Of 1 309 950 diagnostic mammograms, 125 447 (9.6%) were category 4, of which 33.3% (41 841 of 125 447) were subdivided. Subdivision utilization rates were higher (P < .001) in practices that were community, suburban, or in the West; for examination indication of prior history of breast cancer; and for the imaging finding of architectural distortion. Of 41 841 category 4 subdivided examinations, 4A constituted 55.6% (23 258 of 41 841) of the examinations; 4B, 31.8% (13 302 of 41 841) of the examinations; and 4C, 12.6% (5281 of 41 841) of the examinations. Pathologic outcomes were available in 91 563 examinations, and overall category 4 PPV3 was 21.1% (19 285 of 91 563). There was a statistically significant difference in PPV3 according to category 4 subdivision (P < .001): The PPV of 4A was 7.6% (1274 of 16 784), that of 4B was 22% (2317 of 10 408), and that of 4C was 69.3% (2839 of 4099). Conclusion Although BI-RADS suggests their use, subdivisions were utilized in the minority (33.3% [41 841 of 125 447]) of category 4 diagnostic mammograms, with variability based on facility and examination characteristics. When subdivisions were used, PPV3s were in BI-RADS-specified malignancy ranges. This analysis supports the use of subdivisions in broad practice and, given benefits for patient care, should motivate increased utilization. © RSNA, 2018 Online supplemental material is available for this article.
BALEMBA, O. B.; MBASSA, G. K.; SEMUGURUKA, W. D.; ASSEY, R. J.; KAHWA, C. K. B.; HAY-SCHMIDT, A.; DANTZER, V.
1999-01-01
To date, there appear to have been no detailed and clear descriptions of the nerve plexuses and their subdivisions in the intestine of cattle. In this study, the enteric nervous system in the jejunum and ileum of 12 1-y-old calves was examined using neurofilament protein and vasoactive intestinal peptide immunohistochemistry in wholemounts and paraffin sections combined with staining of paraffin and historesin sections with haematoxylin and eosin. The main organisation of the plexuses was similar to that of the pig, horse and man with external and internal submucous plexuses being morphologically distinct, with further subdivisions of the internal submucous plexus into the external and internal subplexuses. However, in contrast to pig, horse and man, the submucous layer was firmly attached to the inner circular muscle layer. The myenteric plexus was well developed with large ganglia, and primary and secondary nerve strands. Its main axis was oriented parallel to the outer longitudinal smooth muscle; large ganglia and primary nerve strands fused to form complex ganglia, and 2 types of tertiary nerve strands were observed. Antibodies to neurofilament proteins and vasoactive intestinal peptide revealed adendritic, pseudouniaxonal or multiaxonal type II neurons only in the myenteric and submucous plexuses. This appears to be the first report of the identification of isolated uniaxonal, multidendritic type IV neurons in the mucous pericryptal plexus. The new information presented here provides further evidence for the existence of anatomical and functional differences between the external and internal submucous plexuses and for supporting the nomenclature proposed earlier. PMID:10473287
Szucs, Kimberly A; Molnar, Megan
2017-04-01
The aim of this study was to provide a description of gender differences of the activation patterns of the four subdivisions of the trapezius (clavicular, upper, middle, lower) following a 60min computer work task. Surface EMG was collected from these subdivisions from 21 healthy subjects during bilateral arm elevation pre-/post- task. Subjects completed a standardized 60min computer work task at a standard, ergonomic workstation. Normalized activation and activation ratios of each trapezius subdivision were compared between genders and condition with repeated measures ANOVAs. The interaction effect of Gender×Condition for upper trapezius% activation approached significance at p=0.051with males demonstrating greater activation post-task. The main effect of Condition was statistically significant for% activation of middle and lower trapezius (p<0.05), with both muscles demonstrating increase activation post-task. There was a statistically significant interaction effect of Gender×Condition for the Middle Trapezius/Upper Trapezius ratio and main effect of Condition for the Clavicular Trapezius/Upper Trapezius ratio, with a decreased ratio post-typing. Gender differences exist following 60min of a low force computer typing task. Imbalances in muscle activation and activation ratios following computer work may affect total shoulder kinematics and should be further explored. Copyright © 2017 Elsevier B.V. All rights reserved.
Code of Federal Regulations, 2012 CFR
2012-10-01
... instrumentality of a state or its political subdivision, any public or private agency, institution, organization..., university, or other postsecondary institution, or a public system of higher education; or (ii) A local...)(i) An entire corporation, partnership, or other private organization, or an entire sole...
Code of Federal Regulations, 2014 CFR
2014-10-01
... instrumentality of a state or its political subdivision, any public or private agency, institution, organization..., university, or other postsecondary institution, or a public system of higher education; or (ii) A local...)(i) An entire corporation, partnership, or other private organization, or an entire sole...
Tokita, K; Boughter, J D
2016-03-01
The activities of 178 taste-responsive neurons were recorded extracellularly from the parabrachial nucleus (PbN) in the anesthetized C57BL/6J mouse. Taste stimuli included those representative of five basic taste qualities, sweet, salty, sour, bitter and umami. Umami synergism was represented by all sucrose-best and sweet-sensitive sodium chloride-best neurons. Mediolaterally the PbN was divided into medial, brachium conjunctivum (BC) and lateral subdivisions while rostrocaudally the PbN was divided into rostral and caudal subdivisions for mapping and reconstruction of recording sites. Neurons in the medial and BC subdivisions had a significantly greater magnitude of response to sucrose and to the mixture of monopotassium glutamate and inosine monophosphate than those found in the lateral subdivision. In contrast, neurons in the lateral subdivision possessed a more robust response to quinine hydrochloride. Rostrocaudally no difference was found in the mean magnitude of response. Analysis on the distribution pattern of neuron types classified by their best stimulus revealed that the proportion of neuron types in the medial vs. lateral and BC vs. lateral subdivisions was significantly different, with a greater amount of sucrose-best neurons found medially and within the BC, and a greater amount of sodium chloride-, citric acid- and quinine hydrochloride-best neurons found laterally. There was no significant difference in the neuron-type distribution between rostral and caudal PbN. We also assessed breadth of tuning in these neurons by calculating entropy (H) and noise-to-signal (N/S) ratio. The mean N/S ratio of all neurons (0.43) was significantly lower than that of H value (0.64). Neurons in the caudal PbN had a significantly higher H value than in the rostral PbN. In contrast, mean N/S ratios were not different both mediolaterally and rostrocaudally. These results suggest that although there is overlap in taste quality representation in the mouse PbN, taste-responsive neurons still possessed a topographic organization. Published by Elsevier Ltd.
Vogl, Claus; Das, Aparup; Beaumont, Mark; Mohanty, Sujata; Stephan, Wolfgang
2003-11-01
Population subdivision complicates analysis of molecular variation. Even if neutrality is assumed, three evolutionary forces need to be considered: migration, mutation, and drift. Simplification can be achieved by assuming that the process of migration among and drift within subpopulations is occurring fast compared to mutation and drift in the entire population. This allows a two-step approach in the analysis: (i) analysis of population subdivision and (ii) analysis of molecular variation in the migrant pool. We model population subdivision using an infinite island model, where we allow the migration/drift parameter Theta to vary among populations. Thus, central and peripheral populations can be differentiated. For inference of Theta, we use a coalescence approach, implemented via a Markov chain Monte Carlo (MCMC) integration method that allows estimation of allele frequencies in the migrant pool. The second step of this approach (analysis of molecular variation in the migrant pool) uses the estimated allele frequencies in the migrant pool for the study of molecular variation. We apply this method to a Drosophila ananassae sequence data set. We find little indication of isolation by distance, but large differences in the migration parameter among populations. The population as a whole seems to be expanding. A population from Bogor (Java, Indonesia) shows the highest variation and seems closest to the species center.
Livas, Christos; Pandis, Nikolaos; Booij, Johan Willem; Halazonetis, Demetrios J; Katsaros, Christos; Ren, Yijin
2016-01-01
To assess the maxillary second molar (M2) and third molar (M3) inclination following orthodontic treatment of Class II subdivision malocclusion with unilateral maxillary first molar (M1) extraction. Panoramic radiographs of 21 Class II subdivision adolescents (eight boys, 13 girls; mean age, 12.8 years; standard deviation, 1.7 years) before treatment, after treatment with extraction of one maxillary first molar and Begg appliances and after at least 1.8 years in retention were retrospectively collected from a private practice. M2 and M3 inclination angles (M2/ITP, M2/IOP, M3/ITP, M3/IOP), constructed by intertuberosity (ITP) and interorbital planes (IOP), were calculated for the extracted and nonextracted segments. Random effects regression analysis was performed to evaluate the effect on the molar angulation of extraction, time, and gender after adjusting for baseline measurements. Time and extraction status were significant predictors for M2 angulation. M2/ITP and M2/IOP decreased by 4.04 (95% confidence interval [CI]: -6.93, 1.16; P = .001) and 3.67 (95% CI: -6.76, -0.58; P = .020) in the extraction group compared to the nonextraction group after adjusting for time and gender. The adjusted analysis showed that extraction was the only predictor for M3 angulation that reached statistical significance. M3 mesial inclination increased by 7.38° (95% CI: -11.2, -3.54; P < .001) and 7.33° (95% CI: -11.48, -3.19; P = .001). M2 and M3 uprighting significantly improved in the extraction side after orthodontic treatment with unilateral maxillary M1 extraction. There was a significant increase in mesial tipping of maxillary second molar crowns over time.
Code of Federal Regulations, 2012 CFR
2012-01-01
... Classification of Leaf Tobacco Covering Classes, Types and Groups of Grades § 30.6 Type. A subdivision of a class of leaf tobacco, having certain common characteristics which permit of its being divided into a...
Code of Federal Regulations, 2011 CFR
2011-01-01
... Classification of Leaf Tobacco Covering Classes, Types and Groups of Grades § 30.6 Type. A subdivision of a class of leaf tobacco, having certain common characteristics which permit of its being divided into a...
Code of Federal Regulations, 2010 CFR
2010-01-01
... Classification of Leaf Tobacco Covering Classes, Types and Groups of Grades § 30.6 Type. A subdivision of a class of leaf tobacco, having certain common characteristics which permit of its being divided into a...
Code of Federal Regulations, 2013 CFR
2013-01-01
... Classification of Leaf Tobacco Covering Classes, Types and Groups of Grades § 30.6 Type. A subdivision of a class of leaf tobacco, having certain common characteristics which permit of its being divided into a...
Code of Federal Regulations, 2014 CFR
2014-01-01
... Classification of Leaf Tobacco Covering Classes, Types and Groups of Grades § 30.6 Type. A subdivision of a class of leaf tobacco, having certain common characteristics which permit of its being divided into a...
Code of Federal Regulations, 2010 CFR
2010-10-01
..., university, or other postsecondary institution, or a public system of higher education; or (ii) A local educational agency (as defined in 20 U.S.C. 7801), system of vocational education, or other school system; (3... possession of the United States, or any political subdivision thereof, or instrumentality thereof, any public...
NASA Astrophysics Data System (ADS)
Shimizu, Kenji; Ikura, Hirohiko; Ikezoe, Junpei; Nagareda, Tomofumi; Yagi, Naoto; Umetani, Keiji; Imai, Yutaka
2004-04-01
We have previously reported a synchrotron radiation (SR) microtomography system constructed at the bending magnet beamline at the SPring-8. This system has been applied to the lungs obtained at autopsy and inflated and fixed by Heitzman"s method. Normal lung and lung specimens with two different types of pathologic processes (fibrosis and emphysema) were included. Serial SR microtomographic images were stacked to yield the isotropic volumetric data with high-resolution (12 μm3 in voxel size). Within the air spaces of a subdivision of the acinus, each voxel is segmented three-dimensionally using a region growing algorithm ("rolling ball algorithm"). For each voxel within the segmented air spaces, two types of voxel coding have been performed: single-seeded (SS) coding and boundary-seeded (BS) coding, in which the minimum distance from an initial point as the only seed point and all object boundary voxels as a seed set were calculated and assigned as the code values to each voxel, respectively. With these two codes, combinations of surface rendering and volume rendering techniques were applied to visualize three-dimensional morphology of a subdivision of the acinus. Furthermore, sequentially filling process of air into a subdivision of the acinus was simulated under several conditions to visualize the ventilation procedure (air flow and diffusion). A subdivision of the acinus was reconstructed three-dimensionally, demonstrating the normal architecture of the human lung. Significant differences in appearance of ventilation procedure were observed between normal and two pathologic processes due to the alteration of the lung architecture. Three-dimensional reconstruction of the microstructure of a subdivision of the acinus and visualization of the ventilation procedure (air flow and diffusion) with SR microtomography would offer a new approach to study the morphology, physiology, and pathophysiology of the human respiratory system.
Selected Financial and Enrollment Data: Maryland Community Colleges.
ERIC Educational Resources Information Center
Maryland State Board for Community Colleges, Annapolis.
Financial and enrollment data for Maryland community colleges are provided in this report. Section I presents statewide data for higher education in general, including statistics on credit enrollments by educational segment and political subdivision, and on actual and projected births and high school graduates for 1961-1994. Section II provides…
46 CFR 91.55-5 - Plans and specifications required for new construction.
Code of Federal Regulations, 2011 CFR
2011-10-01
.... (ii) Arrangement of davits. (iii) Location and stowage of liferafts and buoyant apparatus. (h) Crew's... Drains Penetrating Shell Plating. (13) *Arrangement of the cargo gear including a stress diagram. The...) Subdivision and stability. Plans and calculations as required by Subchapter S of this chapter. (d) Fire...
Gutacker, Michaela; Conza, Nadine; Benagli, Cinzia; Pedroli, Ambra; Bernasconi, Marco Valerio; Permin, Lise; Aznar, Rosa; Piffaretti, Jean-Claude
2003-06-01
Genetic relationships among 62 Vibrio vulnificus strains of different geographical and host origins were analyzed by multilocus enzyme electrophoresis (MLEE), random amplification of polymorphic DNA (RAPD), and sequence analyses of the recA and glnA genes. Out of 15 genetic loci analyzed by MLEE, 11 were polymorphic. Cluster analysis identified 43 distinct electrophoretic types (ETs) separating the V. vulnificus population into two divisions (divisions I and II). One ET (ET 35) included all indole-negative isolates from diseased eels worldwide (biotype 2). A second ET (ET 2) marked all of the strains from Israel isolated from patients who handled St. Peter's fish (biotype 3). RAPD analysis of the 62 V. vulnificus isolates identified 26 different profiles separated into two divisions as well. In general, this subdivision was comparable (but not identical) to that observed by MLEE. Phylogenetic analysis of 543 bp of the recA gene and of 402 bp of the glnA gene also separated the V. vulnificus population into two major divisions in a manner similar to that by MLEE and RAPD. Sequence data again indicated the overall subdivision of the V. vulnificus population into different biotypes. In particular, indole-negative eel-pathogenic isolates (biotype 2) on one hand and the Israeli isolates (biotype 3) on the other tended to cluster together in both gene trees. None of the methods showed an association between distinct clones and human clinical manifestations. Furthermore, except for the Israeli strains, only minor clusters comprising geographically related isolates were observed. In conclusion, all three approaches (MLEE, RAPD, and DNA sequencing) generated comparable but not always equivalent results. The significance of the two divisions (divisions I and II) still remains to be clarified, and a reevaluation of the definition of the biotypes is also needed.
Receptor-driven, multimodal mapping of the human amygdala.
Kedo, Olga; Zilles, Karl; Palomero-Gallagher, Nicola; Schleicher, Axel; Mohlberg, Hartmut; Bludau, Sebastian; Amunts, Katrin
2018-05-01
The human amygdala consists of subdivisions contributing to various functions. However, principles of structural organization at the cellular and molecular level are not well understood. Thus, we re-analyzed the cytoarchitecture of the amygdala and generated cytoarchitectonic probabilistic maps of ten subdivisions in stereotaxic space based on novel workflows and mapping tools. This parcellation was then used as a basis for analyzing the receptor expression for 15 receptor types. Receptor fingerprints, i.e., the characteristic balance between densities of all receptor types, were generated in each subdivision to comprehensively visualize differences and similarities in receptor architecture between the subdivisions. Fingerprints of the central and medial nuclei and the anterior amygdaloid area were highly similar. Fingerprints of the lateral, basolateral and basomedial nuclei were also similar to each other, while those of the remaining nuclei were distinct in shape. Similarities were further investigated by a hierarchical cluster analysis: a two-cluster solution subdivided the phylogenetically older part (central, medial nuclei, anterior amygdaloid area) from the remaining parts of the amygdala. A more fine-grained three-cluster solution replicated our previous parcellation including a laterobasal, superficial and centromedial group. Furthermore, it helped to better characterize the paralaminar nucleus with a molecular organization in-between the laterobasal and the superficial group. The multimodal cyto- and receptor-architectonic analysis of the human amygdala provides new insights into its microstructural organization, intersubject variability, localization in stereotaxic space and principles of receptor-based neurochemical differences.
Multicultural Picture Books: Art for Understanding Others, Volume II. Professional Growth Series.
ERIC Educational Resources Information Center
Marantz, Sylvia; Marantz, Kenneth
This book presents annotations of approximately 600 multicultural picture books published between 1993 and 1997. Annotations (and accompanying grade levels) in the book are arranged alphabetically within geographic sections. After an introduction, chapters (and their geographic subdivisions) in the book are (1) Asia and the Pacific (Japan and…
36 CFR 7.22 - Grand Teton National Park.
Code of Federal Regulations, 2010 CFR
2010-07-01
... a notice of any change of fees. (x) All livestock are considered as mature animals at six months of... sites within the Park. (2) Except in group campsites and backcountry sites, camping is limited to six... private lands in the Craighead Subdivision. (ii) The unplowed portion of the Teton Park Road to the piece...
26 CFR 1.958-2 - Constructive ownership of stock.
Code of Federal Regulations, 2010 CFR
2010-04-01
... who is legally separated from the individual under a decree of divorce or separate maintenance); and... in subdivisions (ii) and (iii) of this subparagraph, stock constructively owned by a person by reason... constructively owned by an individual by reason of the application of paragraph (b) of this section shall not be...
Comparative histological study of the mammalian facial nucleus.
Furutani, Rui; Sugita, Shoei
2008-04-01
We performed comparative Nissl, Klüver-Barrera and Golgi staining studies of the mammalian facial nucleus to classify the morphologically distinct subdivisions and the neuronal types in the rat, rabbit, ferret, Japanese monkey (Macaca fuscata), pig, horse, Risso's dolphin (Grampus griseus), and bottlenose dolphin (Tursiops truncatus). The medial subnucleus was observed in all examined species; however, that of the Risso's and bottlenose dolphins was a poorly-developed structure comprised of scattered neurons. The medial subnuclei of terrestrial mammals were well-developed cytoarchitectonic structures, usually a rounded column comprised of densely clustered neurons. Intermediate and lateral subnuclei were found in all studied mammals, with differences in columnar shape and neuronal types from species to species. The dorsolateral subnucleus was detected in all mammals but the Japanese monkey, whose facial neurons converged into the intermediate subnucleus. The dorsolateral subnuclei of the two dolphin species studied were expanded subdivisions comprised of densely clustered cells. The ventromedial subnuclei of the ferret, pig, and horse were richly-developed columns comprised of large multipolar neurons. Pig and horse facial nuclei contained another ventral cluster, the ventrolateral subnucleus. The facial nuclei of the Japanese monkey and the bottlenose dolphin were similar in their ventral subnuclear organization. Our findings show species-specific subnuclear organization and distribution patterns of distinct types of neurons within morphological discrete subdivisions, reflecting functional differences.
28 CFR 37.10 - Section 504 agency review of deferred complaints.
Code of Federal Regulations, 2010 CFR
2010-07-01
... political subdivision, the EEOC completes enforcement proceedings or issues a notice of right-to-sue in accordance with 29 CFR 1601.28; or (ii) If the recipient is a government, governmental agency, or political... no cause finding and a notice of right-to-sue pursuant to 29 CFR 1601.19; or (2) The EEOC enters into...
36 CFR 228.57 - Types of disposal.
Code of Federal Regulations, 2010 CFR
2010-07-01
... Federal, State, county, local unit, subdivision, municipality, or county road district for use in public... various Forest Service programs involving construction and maintenance of physical improvements. ...
46 CFR 170.295 - Special consideration for free surface of passive roll stabilization tanks.
Code of Federal Regulations, 2014 CFR
2014-10-01
... the moment of inertia of the free surface in the roll tank; (ii) (d) is the density of the liquid in... 46 Shipping 7 2014-10-01 2014-10-01 false Special consideration for free surface of passive roll...) SUBDIVISION AND STABILITY STABILITY REQUIREMENTS FOR ALL INSPECTED VESSELS Free Surface § 170.295 Special...
46 CFR 170.295 - Special consideration for free surface of passive roll stabilization tanks.
Code of Federal Regulations, 2012 CFR
2012-10-01
... the moment of inertia of the free surface in the roll tank; (ii) (d) is the density of the liquid in... 46 Shipping 7 2012-10-01 2012-10-01 false Special consideration for free surface of passive roll...) SUBDIVISION AND STABILITY STABILITY REQUIREMENTS FOR ALL INSPECTED VESSELS Free Surface § 170.295 Special...
46 CFR 170.295 - Special consideration for free surface of passive roll stabilization tanks.
Code of Federal Regulations, 2013 CFR
2013-10-01
... the moment of inertia of the free surface in the roll tank; (ii) (d) is the density of the liquid in... 46 Shipping 7 2013-10-01 2013-10-01 false Special consideration for free surface of passive roll...) SUBDIVISION AND STABILITY STABILITY REQUIREMENTS FOR ALL INSPECTED VESSELS Free Surface § 170.295 Special...
Code of Federal Regulations, 2013 CFR
2013-01-01
... AND ORDERS; FRUITS, VEGETABLES, NUTS), DEPARTMENT OF AGRICULTURE SWEET ONIONS GROWN IN THE WALLA WALLA... includes all classifications, subdivisions, or types of Walla Walla Sweet Onions according to those...
Code of Federal Regulations, 2012 CFR
2012-01-01
... and Orders; Fruits, Vegetables, Nuts), DEPARTMENT OF AGRICULTURE SWEET ONIONS GROWN IN THE WALLA WALLA... includes all classifications, subdivisions, or types of Walla Walla Sweet Onions according to those...
Code of Federal Regulations, 2014 CFR
2014-01-01
... AND ORDERS; FRUITS, VEGETABLES, NUTS), DEPARTMENT OF AGRICULTURE SWEET ONIONS GROWN IN THE WALLA WALLA... includes all classifications, subdivisions, or types of Walla Walla Sweet Onions according to those...
Code of Federal Regulations, 2011 CFR
2011-01-01
... and Orders; Fruits, Vegetables, Nuts), DEPARTMENT OF AGRICULTURE SWEET ONIONS GROWN IN THE WALLA WALLA... includes all classifications, subdivisions, or types of Walla Walla Sweet Onions according to those...
Code of Federal Regulations, 2010 CFR
2010-01-01
... and Orders; Fruits, Vegetables, Nuts), DEPARTMENT OF AGRICULTURE SWEET ONIONS GROWN IN THE WALLA WALLA... includes all classifications, subdivisions, or types of Walla Walla Sweet Onions according to those...
Community structure and elevational diversity patterns of soil Acidobacteria.
Zhang, Yuguang; Cong, Jing; Lu, Hui; Li, Guangliang; Qu, Yuanyuan; Su, Xiujiang; Zhou, Jizhong; Li, Diqiang
2014-08-01
Acidobacteria is one of the most dominant and abundant phyla in soil, and was believed to have a wide range of metabolic and genetic functions. Relatively little is known about its community structure and elevational diversity patterns. We selected four elevation gradients from 1000 to 2800 m with typical vegetation types of the northern slope of Shennongjia Mountain in central China. The vegetation types were evergreen broadleaved forest, deciduous broadleaved forest, coniferous forest and sub-alpine shrubs. We analyzed the soil acidobacterial community composition, elevational patterns and the relationship between Acidobacteria subdivisions and soil enzyme activities by using the 16S rRNA meta-sequencing technique and multivariate statistical analysis. The result found that 19 known subdivisions as well as an unclassified phylotype were presented in these forest sites, and Subdivision 6 has the highest number of detectable operational taxonomic units (OTUs). A significant single peak distribution pattern (P<0.05) between the OTU number and the elevation was observed. The Jaccard and Bray-Curtis index analysis showed that the soil Acidobacteria compositional similarity significantly decreased (P<0.01) with the increase in elevation distance. Mantel test analysis showed the most of the soil Acidobacteria subdivisions had the significant relationship (P<0.01) with different soil enzymes. Therefore, soil Acidobacteria may be involved in different ecosystem functions in global elemental cycles. Partial Mantel tests and CCA analysis showed that soil pH, soil temperature and plant diversity may be the key factors in shaping the soil Acidobacterial community structure. Copyright © 2014. Published by Elsevier B.V.
15 CFR 255.1 - Type of fellowships.
Code of Federal Regulations, 2013 CFR
2013-01-01
... standardization and testing. (b) Practical laboratory training in various branches of physics, chemistry, and... include the usual subdivisions of physics (weights and measures, heat, optics, mechanics, atomic physics...
15 CFR 255.1 - Type of fellowships.
Code of Federal Regulations, 2011 CFR
2011-01-01
... standardization and testing. (b) Practical laboratory training in various branches of physics, chemistry, and... include the usual subdivisions of physics (weights and measures, heat, optics, mechanics, atomic physics...
15 CFR 255.1 - Type of fellowships.
Code of Federal Regulations, 2012 CFR
2012-01-01
... standardization and testing. (b) Practical laboratory training in various branches of physics, chemistry, and... include the usual subdivisions of physics (weights and measures, heat, optics, mechanics, atomic physics...
15 CFR 255.1 - Type of fellowships.
Code of Federal Regulations, 2014 CFR
2014-01-01
... standardization and testing. (b) Practical laboratory training in various branches of physics, chemistry, and... include the usual subdivisions of physics (weights and measures, heat, optics, mechanics, atomic physics...
24 CFR 1710.216 - Additional information.
Code of Federal Regulations, 2010 CFR
2010-04-01
... URBAN DEVELOPMENT (INTERSTATE LAND SALES REGISTRATION PROGRAM) LAND REGISTRATION Reporting Requirements... of any membership agreement or similar document. (b) Price range, type of sales and marketing. (1) State the price range of lots in the subdivision. (2) State the type of sales to be made, i.e., contract...
24 CFR 1710.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2010 CFR
2010-04-01
... non-waivable provision in bold face type (which must be distinguished from the type used for the rest... contract or other document by requiring a specific type of notice or by requiring that notice be given at a... font. A copy of the acknowledgement will be maintained by the developer for three years and will be...
Hydrologic models for land-atmosphere retrospective studies of the use of LANDSAT and AVHRR data
NASA Technical Reports Server (NTRS)
Duchon, Claude E.; Williams, T. H. Lee; Nicks, Arlin D.
1988-01-01
The use of a Geographic Information System (GIS) and LANDSAT analysis in conjunction with the Simulator for Water Resources on a Rural Basin (SWRRB) hydrologic model to examine the water balance on the Little Washita River basin is discussed. LANDSAT analysis was used to divide the basin into eight non-contiguous land covers or subareas: rangeland, grazed range, winter wheat, alfalfa/pasture, bare soil, water, woodland, and impervious land (roads, quarry). The use of a geographic information system allowed for the calculation of SWRRB model parameters in each subarea. Four data sets were constructed in order to compare SWRRB estimates of hydrologic processes using two methods of maximum LAI and two methods of watershed subdivision. Maximum LAI was determined from a continental scale map, which provided a value of 4.5 for the entire basin, and from its association with the type of land-cover (eight values). The two methods of watershed subdivision were determined according to drainage subbasin (four) and the eight land-covers. These data sets were used with the SWRRB model to obtain daily hydrologic estimates for 1985. The results of the one year analysis lead to the conclusion that the greater homogeneity of a land-cover subdivision provides better water yield estimates than those based on a drainage properties subdivision.
Classification of parotidectomies: a proposal of the European Salivary Gland Society.
Quer, M; Guntinas-Lichius, O; Marchal, F; Vander Poorten, V; Chevalier, D; León, X; Eisele, D; Dulguerov, P
2016-10-01
The objective of this study is to provide a comprehensive classification system for parotidectomy operations. Data sources include Medline publications, author's experience, and consensus round table at the Third European Salivary Gland Society (ESGS) Meeting. The Medline database was searched with the term "parotidectomy" and "definition". The various definitions of parotidectomy procedures and parotid gland subdivisions extracted. Previous classification systems re-examined and a new classification proposed by a consensus. The ESGS proposes to subdivide the parotid parenchyma in five levels: I (lateral superior), II (lateral inferior), III (deep inferior), IV (deep superior), V (accessory). A new classification is proposed where the type of resection is divided into formal parotidectomy with facial nerve dissection and extracapsular dissection. Parotidectomies are further classified according to the levels removed, as well as the extra-parotid structures ablated. A new classification of parotidectomy procedures is proposed.
26 CFR 48.4041-15 - Sales to States or political subdivisions thereof.
Code of Federal Regulations, 2010 CFR
2010-04-01
... TREASURY (CONTINUED) MISCELLANEOUS EXCISE TAXES MANUFACTURERS AND RETAILERS EXCISE TAXES Special Fuels § 48... certificate; and that (Check applicable type of certificate) ___the liquid or liquids specified in the...
Code of Federal Regulations, 2010 CFR
2010-04-01
.... The $10,000 deposited on April 1 cannot be used to reduce the aggregate amount of accumulated taxes... overdeposit for the April 1-3 eighth-monthly period is credited to M's account, it may not be used to... actually been paid. (iii) As used in subdivisions (i) and (ii) of this subparagraph, the term “taxes” means...
Del Arco, Jon; Sánchez-Murcia, Pedro Alejandro; Mancheño, José Miguel; Gago, Federico; Fernández-Lucas, Jesús
2018-06-05
In our search for thermophilic and acid-tolerant nucleoside 2'-deoxyribosyltransferases (NDTs), we found a good candidate in an enzyme encoded by Chroococcidiopsis thermalis PCC 7203 (CtNDT). Biophysical and biochemical characterization revealed CtNDT as a homotetramer endowed with good activity and stability at both high temperatures (50-100 °C) and a wide range of pH values (from 3 to 7). CtNDT recognizes purine bases and their corresponding 2'-deoxynucleosides but is also proficient using cytosine and 2'-deoxycytidine as substrates. These unusual features preclude the strict classification of CtNDT as either a type I or a type II NDT and further suggest that this simple subdivision may need to be updated in the future. Our findings also hint at a possible link between oligomeric state and NDT's substrate specificity. Interestingly from a practical perspective, CtNDT displays high activity (80-100%) in the presence of several water-miscible co-solvents in a proportion of up to 20% and was successfully employed in the enzymatic production of several therapeutic nucleosides such as didanosine, vidarabine, and cytarabine.
12 CFR 1010.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2013 CFR
2013-01-01
..., where the developer either owns contiguous land or holds an option or other evidence of intent to... (excluding collapsible tents) can be built or installed, physical access must be available by automobile... Cancel Contract in bold face type (which must be distinguished from the type used for the rest of the...
12 CFR 1010.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2012 CFR
2012-01-01
..., where the developer either owns contiguous land or holds an option or other evidence of intent to... (excluding collapsible tents) can be built or installed, physical access must be available by automobile... Cancel Contract in bold face type (which must be distinguished from the type used for the rest of the...
24 CFR 1710.113 - Local services.
Code of Federal Regulations, 2010 CFR
2010-04-01
...) Public transportation. Is there public transportation available in the subdivision or to nearby towns? If not, give the location of the nearest public transportation and the distance from the subdivision. ... subdivision. Is school bus transportation available from within the subdivision? (d) Hospital. Give the name...
NASA Astrophysics Data System (ADS)
Guo, Kai; Xie, Yongjie; Ye, Hu; Zhang, Song; Li, Yunfei
2018-04-01
Due to the uncertainty of stratospheric airship's shape and the security problem caused by the uncertainty, surface reconstruction and surface deformation monitoring of airship was conducted based on laser scanning technology and a √3-subdivision scheme based on Shepard interpolation was developed. Then, comparison was conducted between our subdivision scheme and the original √3-subdivision scheme. The result shows our subdivision scheme could reduce the shrinkage of surface and the number of narrow triangles. In addition, our subdivision scheme could keep the sharp features. So, surface reconstruction and surface deformation monitoring of airship could be conducted precisely by our subdivision scheme.
Investigation of the impacts of rural development on Iowa's secondary road systems.
DOT National Transportation Integrated Search
2010-09-01
"Today, many of Iowas counties are experiencing an increase in rural development. Two specific types of development were focused on : for this research: rural residential subdivisions and livestock production operations. Rural residential developm...
Investigation of the impacts of rural development on Iowa's secondary road systems.
DOT National Transportation Integrated Search
2010-09-01
Today, many of Iowas counties are experiencing an increase in rural development. Two specific types of development were focused on : for this research: rural residential subdivisions and livestock production operations. Rural residential developme...
12 CFR 1010.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Subdivision characteristics and climate. 1010... (REGULATION J) Reporting Requirements § 1010.115 Subdivision characteristics and climate. (a) General... to the land in the subdivision and explain its meaning. (h) Climate. What are the average temperature...
12 CFR 1010.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Subdivision characteristics and climate. 1010... (REGULATION J) Reporting Requirements § 1010.115 Subdivision characteristics and climate. (a) General... to the land in the subdivision and explain its meaning. (h) Climate. What are the average temperature...
12 CFR 1010.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 8 2014-01-01 2014-01-01 false Subdivision characteristics and climate. 1010... (REGULATION J) Reporting Requirements § 1010.115 Subdivision characteristics and climate. (a) General... to the land in the subdivision and explain its meaning. (h) Climate. What are the average temperature...
Santos, Jeannie N; Giese, Elane G; Maldonado, Arnaldo Júnior; Lanfredi, Reinalda M
2008-02-01
Oswaldocruzia belenensis n. sp. (Strongylida: Molineidae) from the small intestine of Chaunus marinus (L.) from Belém, Pará State, Brazil is described and illustrated by light and scanning electron microscopy. Oswaldocruzia belenensis n. sp. is a neotropical species of this genus, harboring caudal bursa Type II, spicules divided in 3 branches, i.e., a blade, shoe, and fork. The blade is divided in 4 points, of which at least 2 are bifurcated. Cervical alae are absent; there is a simple cephalic vesicle and synlophe with low ridges perpendicular to the body without chitinous supports. The most closely related species are O. bonsi and O. lescurei. Oswaldocruzia belenensis n. sp. differs from O. lescurei and O. bonsi by the number and location of cephalic papillae, rays 2-3 and 5-6 running parallel and slightly separated, ray 6 not overlapping ray 8, and body structure morphometry. Oswaldocruzia belenensis n sp. also differs from O. lescurei by the discontinuity of the longitudinal ridges, the number of subdivisions of the blade, and the absence of extra processes at the bifurcation level of the fork of the spicules. The new species differs from O. bonsi by male and female body dimensions, the symmetry of the caudal bursa, dimension and subdivisions of the spicules without extra processes of the fork, 2 extra processes at the distal division of the blade, and location of ray 7 at the anterior margin of the cloacal aperture. Oswaldocruzia belenensis n. sp. represents the 82nd species assigned to the genus.
Form Subdivisions: Their Identification and Use in LCSH.
ERIC Educational Resources Information Center
O'Neill, Edward T.; Chan, Lois Mai; Childress, Eric; Dean, Rebecca; El-Hoshy, Lynn M.; Vizine-Goetz, Diane
2001-01-01
Discusses form subdivisions as part of Library of Congress Subject Headings (LCSH) and the MARC format, which did not have a separate subfield code to identify form subdivisions. Describes the development of an algorithm to identify form subdivisions and reports results of an evaluation of the algorithm. (LRW)
40 CFR 35.6115 - Political subdivision-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 40 Protection of Environment 1 2011-07-01 2011-07-01 false Political subdivision-lead remedial... subdivision-lead remedial Cooperative Agreements. (a) General. If the State concurs, EPA may allow a political.... If it is designated the lead for remedial action, the political subdivision must provide the...
40 CFR 35.6060 - Political subdivision-lead pre-remedial Cooperative Agreements.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 40 Protection of Environment 1 2011-07-01 2011-07-01 false Political subdivision-lead pre-remedial... subdivision-lead pre-remedial Cooperative Agreements. (a) If the Award Official determines that a political subdivision's lead involvement in pre-remedial activities would be more efficient, economical and appropriate...
40 CFR 35.6060 - Political subdivision-lead pre-remedial Cooperative Agreements.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 40 Protection of Environment 1 2014-07-01 2014-07-01 false Political subdivision-lead pre-remedial... subdivision-lead pre-remedial Cooperative Agreements. (a) If the Award Official determines that a political subdivision's lead involvement in pre-remedial activities would be more efficient, economical and appropriate...
40 CFR 35.6115 - Political subdivision-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 40 Protection of Environment 1 2012-07-01 2012-07-01 false Political subdivision-lead remedial... subdivision-lead remedial Cooperative Agreements. (a) General. If the State concurs, EPA may allow a political.... If it is designated the lead for remedial action, the political subdivision must provide the...
40 CFR 35.6115 - Political subdivision-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 40 Protection of Environment 1 2013-07-01 2013-07-01 false Political subdivision-lead remedial... subdivision-lead remedial Cooperative Agreements. (a) General. If the State concurs, EPA may allow a political.... If it is designated the lead for remedial action, the political subdivision must provide the...
40 CFR 35.6060 - Political subdivision-lead pre-remedial Cooperative Agreements.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 40 Protection of Environment 1 2013-07-01 2013-07-01 false Political subdivision-lead pre-remedial... subdivision-lead pre-remedial Cooperative Agreements. (a) If the Award Official determines that a political subdivision's lead involvement in pre-remedial activities would be more efficient, economical and appropriate...
40 CFR 35.6115 - Political subdivision-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 40 Protection of Environment 1 2014-07-01 2014-07-01 false Political subdivision-lead remedial... subdivision-lead remedial Cooperative Agreements. (a) General. If the State concurs, EPA may allow a political.... If it is designated the lead for remedial action, the political subdivision must provide the...
40 CFR 35.6060 - Political subdivision-lead pre-remedial Cooperative Agreements.
Code of Federal Regulations, 2012 CFR
2012-07-01
... 40 Protection of Environment 1 2012-07-01 2012-07-01 false Political subdivision-lead pre-remedial... subdivision-lead pre-remedial Cooperative Agreements. (a) If the Award Official determines that a political subdivision's lead involvement in pre-remedial activities would be more efficient, economical and appropriate...
40 CFR 35.6115 - Political subdivision-lead remedial Cooperative Agreements.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 40 Protection of Environment 1 2010-07-01 2010-07-01 false Political subdivision-lead remedial... subdivision-lead remedial Cooperative Agreements. (a) General. If the State concurs, EPA may allow a political.... If it is designated the lead for remedial action, the political subdivision must provide the...
40 CFR 35.6060 - Political subdivision-lead pre-remedial Cooperative Agreements.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 40 Protection of Environment 1 2010-07-01 2010-07-01 false Political subdivision-lead pre-remedial... subdivision-lead pre-remedial Cooperative Agreements. (a) If the Award Official determines that a political subdivision's lead involvement in pre-remedial activities would be more efficient, economical and appropriate...
Prototype design based on NX subdivision modeling application
NASA Astrophysics Data System (ADS)
Zhan, Xianghui; Li, Xiaoda
2018-04-01
Prototype design is an important part of the product design, through a quick and easy way to draw a three-dimensional product prototype. Combined with the actual production, the prototype could be modified several times, resulting in a highly efficient and reasonable design before the formal design. Subdivision modeling is a common method of modeling product prototypes. Through Subdivision modeling, people can in a short time with a simple operation to get the product prototype of the three-dimensional model. This paper discusses the operation method of Subdivision modeling for geometry. Take a vacuum cleaner as an example, the NX Subdivision modeling functions are applied. Finally, the development of Subdivision modeling is forecasted.
Code of Federal Regulations, 2010 CFR
2010-07-01
... allocated to coastal political subdivisions within the Gulf producing States? 219.416 Section 219.416... qualified OCS revenues be allocated to coastal political subdivisions within the Gulf producing States? The MMS will disburse funds to the coastal political subdivisions in accordance with the following...
Szucs, Kimberly A; Borstad, John D
2013-12-01
The aim of this study was to provide a description of gender differences of the normal muscle activation patterns of the four subdivisions of the trapezius (clavicular, descending, transverse, ascending) during arm elevation. Surface EMG was collected from these four subdivisions from twenty-two healthy subjects (12 females, 10 males) during arm elevation in the scapular plane. Percent activation (RMS) of each subdivision was compared between genders across arm angles and elevation phase and onset time of each subdivision was compared between genders. Females demonstrated significantly higher % activation levels for each subdivision (p<.05), except transverse trapezius (p=.36). A statistically significant difference for onset time was observed between gender for the descending trapezius, with a slower onset time for females (p<.05). Findings from this study support the theory that subdivisions within descending trapezius are preferentially activated and demonstrate that gender differences are present within the fourth subdivision of trapezius. As subjects were without shoulder pathology, the observed gender differences may be explained by normal motor control variations. However, as coordinated activation of trapezius is required for normal shoulder motion, it is recommended to include all four subdivisions of trapezius and address gender differences in future studies. Copyright © 2013 Elsevier B.V. All rights reserved.
46 CFR 46.10-45 - Nonsubmergence subdivision load lines in salt water.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 46 Shipping 2 2014-10-01 2014-10-01 false Nonsubmergence subdivision load lines in salt water. 46.10-45 Section 46.10-45 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-45 Nonsubmergence subdivision load lines in salt water. (a) Passenger vessels...
Watts, Kenneth R.
2008-01-01
The population of Delta County, Colorado, like that in much of the Western United States, is forecast to increase substantially in the next few decades. A substantial portion of the increased population likely will reside in rural subdivisions and use residential wells for domestic water supplies. In Colorado, a subdivision developer is required to submit a water-supply plan through the county for approval by the Colorado Division of Water Resources. If the water supply is to be provided by wells, the water-supply plan must include a water-supply report. The water-supply report demonstrates the availability, sustainability, and suitability of the water supply for the proposed subdivision. During 2006, the U.S. Geological Survey, in cooperation with Delta County, Colorado, began a study to develop criteria that the Delta County Land Use Department can use to evaluate water-supply reports for proposed subdivisions. A table was prepared that lists the types of analyses and data that may be needed in a water-supply report for a water-supply plan that proposes the use of ground water. A preliminary analysis of the availability, sustainability, and suitability of the ground-water resources of Rogers Mesa, Delta County, Colorado, was prepared for a hypothetical subdivision to demonstrate hydrologic analyses and data that may be needed for water-supply reports for proposed subdivisions. Rogers Mesa is a 12-square-mile upland mesa located along the north side of the North Fork Gunnison River about 15 miles east of Delta, Colorado. The principal land use on Rogers Mesa is irrigated agriculture, with about 5,651 acres of irrigated cropland, grass pasture, and orchards. The principal source of irrigation water is surface water diverted from the North Fork Gunnison River and Leroux Creek. The estimated area of platted subdivisions on or partially on Rogers Mesa in 2007 was about 4,792 acres of which about 2,756 acres was irrigated land in 2000. The principal aquifer on Rogers Mesa consists of alluvial-fan deposits that overlie shale and, locally, sandstone. Maps of the base of the aquifer, the water table, and the saturated thickness of the aquifer were prepared from data from the well files of the Colorado Division of Water Resources. The base of the aquifer generally is topographically higher than the valleys of the North Fork Gunnison River and Leroux Creek, and direct hydraulic connection of the aquifer to North Fork Gunnison River and Leroux Creek is limited. The aquifer is recharged primarily by infiltration of surface water diverted for irrigation. Ground water discharges to seeps and springs and through slope deposits at the boundaries of the aquifer. Data from the well files also were used to estimate the specific capacity of wells and to estimate the transmissivity and hydraulic conductivity of the aquifer. A water budget was used to estimate recharge to and discharge from the aquifer. Although storage within the aquifer likely varies seasonally and from year to year, it was assumed that there were no long-term changes in ground-water storage. Estimated average annual recharge to and discharge from the aquifer during November 1998 through October 2006 were about 30,767 acre-feet per year. Although sufficient ground water is available on Rogers Mesa for additional domestic water supplies, conversion of irrigated land to residential land use likely would reduce recharge to the aquifer, affecting the sustainability of ground-water supplies on Rogers Mesa. Stream-depletion analyses indicate that the ground water in the aquifer likely would be considered tributary ground water and additional uses of ground water to supply new subdivisions likely would require implementation of augmentation plans. Although sufficient ground water is available on Rogers Mesa for additional domestic water supplies, conversion of irrigated land to residential land use likely would reduce recharge to the aquifer, affecting the sustainability
Code of Federal Regulations, 2010 CFR
2010-07-01
... State, or political subdivision, certifies that it needs a surplus power transmission line and the right... political subdivision, certifies that it needs a surplus power transmission line and the right-of-way... right-of-way, the disposal agency may sell the property to the state, or political subdivision thereof...
24 CFR 1715.50 - Advertising disclaimers; subdivisions registered and effective with HUD.
Code of Federal Regulations, 2010 CFR
2010-04-01
... statement may be set in type of at least six point font. (c) This disclaimer statement need not appear on... at the bottom of the front page. The disclaimer statement shall be set in type of at least ten point font. Obtain the Property Report required by Federal law and read it before signing anything. No...
46 CFR 174.300 - Specific applicability.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 46 Shipping 7 2014-10-01 2014-10-01 false Specific applicability. 174.300 Section 174.300 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Hopper Dredges With Working Freeboard Assignments § 174.300 Specific...
46 CFR 174.325 - Equalization.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 46 Shipping 7 2011-10-01 2011-10-01 false Equalization. 174.325 Section 174.325 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Hopper Dredges With Working Freeboard Assignments Calculations § 174.325 Equalization...
46 CFR 174.325 - Equalization.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Equalization. 174.325 Section 174.325 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Hopper Dredges With Working Freeboard Assignments Calculations § 174.325 Equalization...
M-X Environmental Technical Report. Alternative Potential Operating Base Locations, Milford.
1980-12-22
ordinances also give similar direction to subdivision developments , building construction, etc. Rural Land Use Oil/gas leases exist southwest of Milford...2.2.9 Effects on Mining and Geology 2-63 ii .A LIST OF TABLES Table Page 1.i.1-1 Total employment and percent share by major economic sectors for...selected counties in Utah, 1977 1-3 1.1.1-2 Employment growth by sector , selected counties in Utah, 1967-1977 1-4 1.1.1-3 Earnings by economi sector
46 CFR 174.075 - Compartments assumed flooded: general.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Compartments assumed flooded: general. 174.075 Section 174.075 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.070 - General damage stability assumptions.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false General damage stability assumptions. 174.070 Section 174.070 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.070 - General damage stability assumptions.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false General damage stability assumptions. 174.070 Section 174.070 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.075 - Compartments assumed flooded: general.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Compartments assumed flooded: general. 174.075 Section 174.075 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.360 - Calculations.
Code of Federal Regulations, 2010 CFR
2010-10-01
... GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Dry Cargo Ships § 174.360 Calculations. Each ship to... for that ship by the International Convention for the Safety of Life at Sea, 1974, as amended, chapter...
Level III Ecoregions of Kentucky
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Michigan
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Arkansas
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Mississippi
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Connecticut
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Georgia
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Colorado
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Wisconsin
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Oregon
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Arkansas
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Florida
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Nevada
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Virginia
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Illinois
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Virginia
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Delaware
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Wyoming
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Alabama
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Alabama
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Nebraska
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Delaware
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Kansas
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Louisiana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Michigan
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Arizona
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Georgia
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Montana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Nebraska
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Vermont
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Wisconsin
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Tennessee
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Colorado
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Oklahoma
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Maryland
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Wyoming
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Connecticut
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Missouri
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Washington
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Minnesota
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Massachusetts
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Tennessee
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Washington
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Maryland
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Mississippi
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Vermont
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Kentucky
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Illinois
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Indiana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Louisiana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Oklahoma
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Massachusetts
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Montana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of California
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Pennsylvania
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Florida
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of California
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of Minnesota
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Arizona
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Pennsylvania
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Indiana
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of Missouri
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Epidemiology of Sport-Related Concussion in an NCAA Division I Football Bowl Subdivision Sample.
Houck, Zachary; Asken, Breton; Bauer, Russell; Pothast, Jason; Michaudet, Charlie; Clugston, James
2016-09-01
Concussions are common in football, and knowledge of their incidence rates across settings is needed to develop strategies to decrease occurrence. To examine sports-related concussion rates in a National Collegiate Athletic Association (NCAA) Division I Football Bowl Subdivision sample based on the activity setting where injuries occurred, during which type of play, and when relative to the 2010 NCAA concussion management policy. Descriptive epidemiology study. Medical records from January 2006 to January 2015 for an NCAA Division I Football Bowl Subdivision program were analyzed. Concussion rates (per 1000 athlete-exposures [AEs]) were compared among the following settings: spring practice, preseason training camp, regular season high-contact practice, regular season low-contact practice, bowl game practice, and game competition. Play-type analyses examined incidence rates during offensive, defensive, and special teams plays. Changes in concussion rate coinciding with the 2010 NCAA concussion management policy were also studied. Of the 452 unique players on the roster during the 9-year study period, 118 (26.1%) were diagnosed with a concussion. The concussion rate during games was significantly higher than all practices combined (P < .001). However, when game rate (4.46 per 1000 AEs) was compared with preseason training camp alone (3.81 per 1000 AEs), there was no significant difference (P = .433). The concussion rate during special teams plays was significantly higher than that during offensive (P < .001) or defensive plays (P < .001). The concussion rate in the 4 seasons (2010-2014) after the 2010 NCAA concussion management policy was initiated was significantly higher than the 4 seasons (2006-2009) preceding the policy (P = .036). Study results show that (1) based on activity type, games and preseason training camp present the greatest risk of sustaining a concussion; (2) based on play type, special teams plays pose the greatest risk of sustaining a concussion; and (3) the 2010 NCAA concussion management policy coincided with a significant increase in recognition of concussion. © 2016 The Author(s).
Code of Federal Regulations, 2011 CFR
2011-07-01
... each coastal political subdivision's population bears to the population of all coastal political... political subdivision's miles of coastline bears to the number of miles of coastline of all coastal...
Code of Federal Regulations, 2014 CFR
2014-07-01
... each coastal political subdivision's population bears to the population of all coastal political... political subdivision's miles of coastline bears to the number of miles of coastline of all coastal...
Code of Federal Regulations, 2012 CFR
2012-07-01
... each coastal political subdivision's population bears to the population of all coastal political... political subdivision's miles of coastline bears to the number of miles of coastline of all coastal...
Code of Federal Regulations, 2013 CFR
2013-07-01
... each coastal political subdivision's population bears to the population of all coastal political... political subdivision's miles of coastline bears to the number of miles of coastline of all coastal...
Subdivision of Texas watersheds for hydrologic modeling.
DOT National Transportation Integrated Search
2009-06-01
The purpose of this report is to present a set of findings and examples for subdivision of watersheds for hydrologic modeling. Three approaches were used to examine the impact of watershed subdivision on modeled hydrologic response: (1) An equal-area...
46 CFR 174.045 - Intact stability requirements.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Intact stability requirements. 174.045 Section 174.045 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.045...
46 CFR 174.085 - Flooding on column stabilized units.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Flooding on column stabilized units. 174.085 Section 174.085 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.085 - Flooding on column stabilized units.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Flooding on column stabilized units. 174.085 Section 174.085 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
46 CFR 174.050 - Stability on bottom.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Stability on bottom. 174.050 Section 174.050 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.050...
46 CFR 174.045 - Intact stability requirements.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Intact stability requirements. 174.045 Section 174.045 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.045...
46 CFR 174.065 - Damage stability requirements.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Damage stability requirements. 174.065 Section 174.065 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.065...
46 CFR 174.065 - Damage stability requirements.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Damage stability requirements. 174.065 Section 174.065 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.065...
46 CFR 174.050 - Stability on bottom.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 7 2010-10-01 2010-10-01 false Stability on bottom. 174.050 Section 174.050 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling Units § 174.050...
Key Technical Aspects Influencing the Accuracy of Tablet Subdivision.
Teixeira, Maíra T; Sá-Barreto, Lívia C L; Gratieri, Taís; Gelfuso, Guilherme M; Silva, Izabel C R; Cunha-Filho, Marcílio S S
2017-05-01
Tablet subdivision is a common practice used mainly for dose adjustment. The aim of this study was to investigate how the technical aspects of production as well as the method of tablets subdivision (employing a tablet splitter or a kitchen knife) influence the accuracy of this practice. Five drugs commonly used as subdivided tablets were selected. For each drug, the innovator drug product, a scored-generic and a non-scored generic were investigated totalizing fifteen drug products. Mechanical and physical tests, including image analysis, were performed. Additionally, comparisons were made between tablet subdivision method, score, shape, diluent composition and coating. Image analysis based on surface area was a useful tool as an alternative assay to evaluate the accuracy of tablet subdivision. The tablet splitter demonstrates an advantage relative to a knife as it showed better results in weight loss and friability tests. Oblong, coated and scored tablets had better results after subdivision than round, uncoated and non-scored tablets. The presence of elastic diluents such as starch and dibasic phosphate dehydrate conferred a more appropriate behaviour for the subdivision process than plastic materials such as microcrystalline cellulose and lactose. Finally, differences were observed between generics and their innovator products in all selected drugs with regard the quality control assays in divided tablet, which highlights the necessity of health regulations to consider subdivision performance at least in marketing authorization of generic products.
Architectonic subdivisions of the amygdalar complex of a primitive marsupial (Didelphis aurita).
Rocha-Rego, V; Canteras, N S; Anomal, R F; Volchan, E; Franca, J G
2008-05-15
The architecture of the amygdaloid complex of a marsupial, the opossum Didelphis aurita, was analyzed using classical stains like Nissl staining and myelin (Gallyas) staining, and enzyme histochemistry for acetylcholinesterase and NADPH-diaphorase. Most of the subdivisions of the amygdaloid complex described in eutherian mammals were identified in the opossum brain. NADPH-diaphorase revealed reactivity in the neuropil of nearly all amygdaloid subdivisions with different intensities, allowing the identification of the medial and lateral subdivisions of the cortical posterior nucleus and the lateral subdivision of the lateral nucleus. The lateral, central, basolateral and basomedial nuclei exhibited acetylcholinesterase positivity, which provided a useful chemoarchitectural criterion for the identification of the anterior basolateral nucleus. Myelin stain allowed the identification of the medial subdivision of the lateral nucleus, and resulted in intense staining of the medial subdivisions of the central nucleus. The medial, posterior, and cortical nuclei, as well as the amygdalopiriform area did not exhibit positivity for myelin staining. On the basis of cyto- and chemoarchitectural criteria, the present study highlights that the opossum amygdaloid complex shares similarities with that of other species, thus supporting the idea that the organization of the amygdala is part of a basic plan conserved through mammalian evolution.
NASA Technical Reports Server (NTRS)
Laverghetta, A. V.; Shimizu, T.
1999-01-01
The nucleus rotundus is a large thalamic nucleus in birds and plays a critical role in many visual discrimination tasks. In order to test the hypothesis that there are functionally distinct subdivisions in the nucleus rotundus, effects of selective lesions of the nucleus were studied in pigeons. The birds were trained to discriminate between different types of stationary objects and between different directions of moving objects. Multiple regression analyses revealed that lesions in the anterior, but not posterior, division caused deficits in discrimination of small stationary stimuli. Lesions in neither the anterior nor posterior divisions predicted effects in discrimination of moving stimuli. These results are consistent with a prediction led from the hypothesis that the nucleus is composed of functional subdivisions.
Research of subdivision driving technology for brushless DC motors in optical fiber positioning
NASA Astrophysics Data System (ADS)
Kan, Yi; Gu, Yonggang; Zhu, Ye; Zhai, Chao
2016-07-01
In fiber spectroscopic telescopes, optical fiber positioning units are used to position thousands of fibers on the focal plane quickly and precisely. Stepper motors are used in existing units, however, it has some inherent deficiencies, such as serious heating and low efficiency. In this work, the universally adopted subdivision driving technology for stepper motors is transplanted to brushless DC motors. It keeps the advantages of stepper motors such as high positioning accuracy and resolution, while overcomes the disadvantages mentioned above. Thus, this research mainly focuses on develop a novel subdivision driving technology for brushless DC motor. By the proving of experiments of online debug and subdivision speed and position, the proposed brushless DC motor subdivision technology can achieve the expected functions.
46 CFR 174.055 - Calculation of wind heeling moment (Hm).
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 7 2013-10-01 2013-10-01 false Calculation of wind heeling moment (Hm). 174.055 Section 174.055 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Mobile Offshore Drilling...
Code of Federal Regulations, 2010 CFR
2010-10-01
... GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SUBDIVISION AND STABILITY SPECIAL RULES PERTAINING TO SPECIFIC VESSEL TYPES Special Rules Pertaining to Dry Cargo Ships § 174.355 Definitions. New ship means a... absence of a contract, the construction work of which is begun on or after August 1, 1992; or (iii) Which...
Ren, Xinyu; Lv, Yingying; Li, Mingshi
2017-03-01
Changes in forest ecosystem structure and functions are considered some of the research issues in landscape ecology. In this study, advancing Forman's theory, we considered five spatially explicit processes associated with fragmentation, including perforation, dissection, subdivision, shrinkage, and attrition, and two processes associated with restoration, i.e., increment and expansion processes. Following this theory, a forest fragmentation and restoration process model that can detect the spatially explicit processes and ecological consequences of forest landscape change was developed and tested in the current analysis. Using the National Land Cover Databases (2001, 2006 and 2011), the forest fragmentation and restoration process model was applied to US western natural forests and southeastern plantation forests to quantify and classify forest patch losses into one of the four fragmentation processes (the dissection process was merged into the subdivision process) and to classify the newly gained forest patches based on the two restoration processes. At the same time, the spatio-temporal differences in fragmentation and restoration patterns and trends between natural forests and plantations were further compared. Then, through overlaying the forest fragmentation/restoration processes maps with targeting year land cover data and land ownership vectors, the results from forest fragmentation and the contributors to forest restoration in federal and nonfederal lands were identified. Results showed that, in natural forests, the forest change patches concentrated around the urban/forest, cultivated/forest, and shrubland/forest interfaces, while the patterns of plantation change patches were scattered sparsely and irregularly. The shrinkage process was the most common type in forest fragmentation, and the average size was the smallest. Expansion, the most common restoration process, was observed in both natural forests and plantations and often occurred around the previous expansion or covered the previous subdivision or shrinkage processes. The overall temporal fragmentation pattern of natural forests had a "perforation-subdivision/shrinkage-attrition" pathway, which corresponded to Forman's landscape fragmentation rule, while the plantation forests did not follow the rule strictly. The main land cover types resulted from forest fragmentation in natural forests and plantation forests were shrubland and herbaceous, mainly through subdivision and shrinkages process. The processes and effects of restoration of plantation forests were more diverse and efficient, compared to the natural forest, which were simpler with a lower regrowth rate. The fragmentation mostly occurred in nonfederal lands. In natural forests, forest fragmentation pattern differed in different land tenures, yet plantations remained the same in federal and nonfederal lands. Copyright © 2016 Elsevier Ltd. All rights reserved.
75 FR 49414 - Cooperative Agreements and Superfund State Contracts for Superfund Response Actions
Federal Register 2010, 2011, 2012, 2013, 2014
2010-08-13
... revisions affect States, Indian Tribes, intertribal consortia, and political subdivisions. The revisions... political subdivision participation in CERCLA implementation: Cooperative Agreements and Superfund State... funds to a State, political subdivision, or Indian Tribe that assumes responsibility as the lead or...
12 CFR 1010.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Subdivision characteristics and climate. 1010.215 Section 1010.215 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION LAND REGISTRATION (REGULATION J) Reporting Requirements § 1010.215 Subdivision characteristics and climate. (a) Submit two...
12 CFR 1010.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Subdivision characteristics and climate. 1010.215 Section 1010.215 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION LAND REGISTRATION (REGULATION J) Reporting Requirements § 1010.215 Subdivision characteristics and climate. (a) Submit two...
12 CFR 1010.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 12 Banks and Banking 8 2014-01-01 2014-01-01 false Subdivision characteristics and climate. 1010.215 Section 1010.215 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION LAND REGISTRATION (REGULATION J) Reporting Requirements § 1010.215 Subdivision characteristics and climate. (a) Submit two...
20 CFR 404.1219 - Dissolution of political subdivision.
Code of Federal Regulations, 2013 CFR
2013-04-01
... 20 Employees' Benefits 2 2013-04-01 2013-04-01 false Dissolution of political subdivision. 404... Agreements Is Obtained and Continues § 404.1219 Dissolution of political subdivision. If a political... satisfactory evidence of its dissolution or nonexistence. The evidence must establish that the entity is not...
20 CFR 404.1219 - Dissolution of political subdivision.
Code of Federal Regulations, 2012 CFR
2012-04-01
... 20 Employees' Benefits 2 2012-04-01 2012-04-01 false Dissolution of political subdivision. 404... Agreements Is Obtained and Continues § 404.1219 Dissolution of political subdivision. If a political... satisfactory evidence of its dissolution or nonexistence. The evidence must establish that the entity is not...
20 CFR 404.1219 - Dissolution of political subdivision.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 20 Employees' Benefits 2 2010-04-01 2010-04-01 false Dissolution of political subdivision. 404... Agreements Is Obtained and Continues § 404.1219 Dissolution of political subdivision. If a political... satisfactory evidence of its dissolution or nonexistence. The evidence must establish that the entity is not...
20 CFR 404.1219 - Dissolution of political subdivision.
Code of Federal Regulations, 2014 CFR
2014-04-01
... 20 Employees' Benefits 2 2014-04-01 2014-04-01 false Dissolution of political subdivision. 404... Agreements Is Obtained and Continues § 404.1219 Dissolution of political subdivision. If a political... satisfactory evidence of its dissolution or nonexistence. The evidence must establish that the entity is not...
20 CFR 404.1219 - Dissolution of political subdivision.
Code of Federal Regulations, 2011 CFR
2011-04-01
... 20 Employees' Benefits 2 2011-04-01 2011-04-01 false Dissolution of political subdivision. 404... Agreements Is Obtained and Continues § 404.1219 Dissolution of political subdivision. If a political... satisfactory evidence of its dissolution or nonexistence. The evidence must establish that the entity is not...
46 CFR 179.212 - Watertight bulkheads for subdivision and damage stability.
Code of Federal Regulations, 2011 CFR
2011-10-01
... this chapter, a monohull vessel which undergoes a simplified stability proof test in accordance with... stability. 179.212 Section 179.212 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) SUBDIVISION, DAMAGE STABILITY, AND WATERTIGHT INTEGRITY Subdivision...
46 CFR 179.212 - Watertight bulkheads for subdivision and damage stability.
Code of Federal Regulations, 2012 CFR
2012-10-01
... this chapter, a monohull vessel which undergoes a simplified stability proof test in accordance with... stability. 179.212 Section 179.212 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) SUBDIVISION, DAMAGE STABILITY, AND WATERTIGHT INTEGRITY Subdivision...
46 CFR 179.212 - Watertight bulkheads for subdivision and damage stability.
Code of Federal Regulations, 2013 CFR
2013-10-01
... this chapter, a monohull vessel which undergoes a simplified stability proof test in accordance with... stability. 179.212 Section 179.212 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) SUBDIVISION, DAMAGE STABILITY, AND WATERTIGHT INTEGRITY Subdivision...
46 CFR 179.212 - Watertight bulkheads for subdivision and damage stability.
Code of Federal Regulations, 2014 CFR
2014-10-01
... this chapter, a monohull vessel which undergoes a simplified stability proof test in accordance with... stability. 179.212 Section 179.212 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) SMALL PASSENGER VESSELS (UNDER 100 GROSS TONS) SUBDIVISION, DAMAGE STABILITY, AND WATERTIGHT INTEGRITY Subdivision...
38 CFR 3.1002 - Political subdivisions of United States.
Code of Federal Regulations, 2012 CFR
2012-07-01
... United States. 3.1002 Section 3.1002 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS... Political subdivisions of United States. No part of any accrued benefits will be used to reimburse any political subdivision of the United States for expenses incurred in the last sickness or burial of any...
Code of Federal Regulations, 2012 CFR
2012-07-01
... Tribe-lead enforcement Cooperative Agreements. 35.6155 Section 35.6155 Protection of Environment... § 35.6155 State, political subdivision or Indian Tribe-lead enforcement Cooperative Agreements. (a) The State, political subdivision or Indian Tribe must comply with the requirements described in § 35.6105 (a...
Code of Federal Regulations, 2013 CFR
2013-07-01
... Tribe-lead enforcement Cooperative Agreements. 35.6155 Section 35.6155 Protection of Environment... § 35.6155 State, political subdivision or Indian Tribe-lead enforcement Cooperative Agreements. (a) The State, political subdivision or Indian Tribe must comply with the requirements described in § 35.6105 (a...
Code of Federal Regulations, 2014 CFR
2014-07-01
... Tribe-lead enforcement Cooperative Agreements. 35.6155 Section 35.6155 Protection of Environment... § 35.6155 State, political subdivision or Indian Tribe-lead enforcement Cooperative Agreements. (a) The State, political subdivision or Indian Tribe must comply with the requirements described in § 35.6105 (a...
15 CFR 241.2 - Legal standard barrels.
Code of Federal Regulations, 2010 CFR
2010-01-01
..., VEGETABLES AND OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.2 Legal standard barrels. (a) Any barrel..., other than cranberries, in section 1 of the standard-barrel law, or any barrel or a subdivision thereof... than cranberries, or a legal subdivision thereof. No other barrel or subdivision in barrel form is a...
15 CFR 241.2 - Legal standard barrels.
Code of Federal Regulations, 2012 CFR
2012-01-01
..., VEGETABLES AND OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.2 Legal standard barrels. (a) Any barrel..., other than cranberries, in section 1 of the standard-barrel law, or any barrel or a subdivision thereof... than cranberries, or a legal subdivision thereof. No other barrel or subdivision in barrel form is a...
15 CFR 241.2 - Legal standard barrels.
Code of Federal Regulations, 2014 CFR
2014-01-01
..., VEGETABLES AND OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.2 Legal standard barrels. (a) Any barrel..., other than cranberries, in section 1 of the standard-barrel law, or any barrel or a subdivision thereof... than cranberries, or a legal subdivision thereof. No other barrel or subdivision in barrel form is a...
26 CFR 1.103-1 - Interest upon obligations of a State, territory, etc.
Code of Federal Regulations, 2010 CFR
2010-04-01
..., territory, a possession of the United States, the District of Columbia, or any political subdivision thereof... issued by a political subdivision for public improvements (such as sewers, sidewalks, streets, etc... against such property and which the political subdivision is required to enforce, are, for purposes of...
24 CFR 1710.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2012 CFR
2012-04-01
... 24 Housing and Urban Development 5 2012-04-01 2012-04-01 false Subdivision characteristics and climate. 1710.215 Section 1710.215 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.215 Subdivision characteristics and climate. (a) Submit two copies of a current geological...
24 CFR 1710.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2013 CFR
2013-04-01
... climate. 1710.115 Section 1710.115 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.115 Subdivision characteristics and climate. (a) General topography. What is the general... hazard, state the rating assigned to the land in the subdivision and explain its meaning. (h) Climate...
24 CFR 1710.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2014 CFR
2014-04-01
... climate. 1710.115 Section 1710.115 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.115 Subdivision characteristics and climate. (a) General topography. What is the general... hazard, state the rating assigned to the land in the subdivision and explain its meaning. (h) Climate...
24 CFR 1710.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2012 CFR
2012-04-01
... climate. 1710.115 Section 1710.115 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.115 Subdivision characteristics and climate. (a) General topography. What is the general... hazard, state the rating assigned to the land in the subdivision and explain its meaning. (h) Climate...
24 CFR 1710.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2013 CFR
2013-04-01
... 24 Housing and Urban Development 5 2013-04-01 2013-04-01 false Subdivision characteristics and climate. 1710.215 Section 1710.215 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.215 Subdivision characteristics and climate. (a) Submit two copies of a current geological...
24 CFR 1710.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2011 CFR
2011-04-01
... 24 Housing and Urban Development 5 2011-04-01 2011-04-01 false Subdivision characteristics and climate. 1710.215 Section 1710.215 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.215 Subdivision characteristics and climate. (a) Submit two copies of a current geological...
24 CFR 1710.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2014 CFR
2014-04-01
... 24 Housing and Urban Development 5 2014-04-01 2014-04-01 false Subdivision characteristics and climate. 1710.215 Section 1710.215 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.215 Subdivision characteristics and climate. (a) Submit two copies of a current geological...
24 CFR 1710.215 - Subdivision characteristics and climate.
Code of Federal Regulations, 2010 CFR
2010-04-01
... 24 Housing and Urban Development 5 2010-04-01 2010-04-01 false Subdivision characteristics and climate. 1710.215 Section 1710.215 Housing and Urban Development Regulations Relating to Housing and Urban... Requirements § 1710.215 Subdivision characteristics and climate. (a) Submit two copies of a current geological...
45 CFR 30.7 - Subdivision of claims.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 45 Public Welfare 1 2010-10-01 2010-10-01 false Subdivision of claims. 30.7 Section 30.7 Public Welfare DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL ADMINISTRATION CLAIMS COLLECTION General Provisions § 30.7 Subdivision of claims. Debts may not be subdivided to avoid the monetary ceiling...
Meyer, William; Patrick, Leslie
1980-01-01
The effect of the artificial recharge experiments on water levels at Spring Acres subdivision, Anchorage, Alaska, was evaluated using two digital models constructed to simulate groundwater movement and water-level rises induced by the artificial recharge. The models predicted that the artificial recharge would have caused water levels in the aquifer immediately underlying Spring Acres subdivision to rise 0.2 foot from May 20 to August 7, 1975. The models also predicted a total rise in groundwater levels of 1.1 feet at this location from July 16, 1973 to August 7, 1975, as a result of the artificial-recharge experiments. Water-level data collected from auger holes in March 1975 by a consulting firm for the contractor indicated a depth to water of 6-7 feet below land surface at Spring Acres subdivision at this time. Water levels measured in and near Spring Acres subdivision several years before and after the 1973-75 artificial-recharge experiments showed seasonal rises of 2 to 12.4 feet. A depth to water below land surface of 2.6 feet was measured 600 feet from the subdivision in 1971 and in the subdivision in 1977. Average measured depth to water in the area was 7.0 feet from early 1976 to September 1979. (USGS)
MX Siting Investigation. Water Resources Program, Technical Summary Report. Volume IIA.
1981-11-30
Block 20. it dilfe.ent from Report) L (.TN IS. SUPPLEMENTARY NOTES 19. KEY WORDS (Continue on reserse side It necessary amd Identify by block number...Sv .,zt 2*O:LI-y lo’.L1 _ XI e A.I p .*.",//. / /V_ , 20. ABSTRACT (Conitnuo on reverese side It necessary end idenLiy by b)ock number...51-II A-I WELL AND SPRING NUMBERING SYSTEM-NEVADA The numbering system for wells and springs in this report is based on the rectangular subdivision of
30 CFR 219.411 - What definitions apply to this subpart?
Code of Federal Regulations, 2010 CFR
2010-07-01
... subdivision means a political subdivision of a Gulf producing State any part of which political subdivision is... U.S.C. 1453)) of the Gulf producing State as of December 20, 2006; and (2) Not more than 200..., dated February 2006. Gulf producing State means each of the States of Alabama, Louisiana, Mississippi...
12 CFR 1.110 - Taxing powers of a State or political subdivision.
Code of Federal Regulations, 2010 CFR
2010-01-01
... impact of any possible limitations regarding the State's or political subdivision's taxing powers, as... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Taxing powers of a State or political subdivision. 1.110 Section 1.110 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY...
41 CFR 105-50.001-2 - Political subdivision or local government.
Code of Federal Regulations, 2010 CFR
2010-07-01
... local government. 105-50.001-2 Section 105-50.001-2 Public Contracts and Property Management Federal... OR TECHNICAL SERVICES TO STATE AND LOCAL UNITS OF GOVERNMENT § 105-50.001-2 Political subdivision or local government. Political subdivision or local government means a local unit of government, including...
Atzei, A; Luchetti, R; Garagnani, L
2017-05-01
The classical definition of 'Palmer Type IB' triangular fibrocartilage complex tear, includes a spectrum of clinical conditions. This review highlights the clinical and arthroscopic criteria that enable us to categorize five classes on a treatment-oriented classification system of triangular fibrocartilage complex peripheral tears. Class 1 lesions represent isolated tears of the distal triangular fibrocartilage complex without distal radio-ulnar joint instability and are amenable to arthroscopic suture. Class 2 tears include rupture of both the distal triangular fibrocartilage complex and proximal attachments of the triangular fibrocartilage complex to the fovea. Class 3 tears constitute isolated ruptures of the proximal attachment of the triangular fibrocartilage complex to the fovea; they are not visible at radio-carpal arthroscopy. Both Class 2 and Class 3 tears are diagnosed with a positive hook test and are typically associated with distal radio-ulnar joint instability. If required, treatment is through reattachment of the distal radio-ulnar ligament insertions to the fovea. Class 4 lesions are irreparable tears due to the size of the defect or to poor tissue quality and, if required, treatment is through distal radio-ulnar ligament reconstruction with tendon graft. Class 5 tears are associated with distal radio-ulnar joint arthritis and can only be treated with salvage procedures. This subdivision of type IB triangular fibrocartilage complex tear provides more insights in the pathomechanics and treatment strategies. II.
Code of Federal Regulations, 2014 CFR
2014-07-01
... Gulf producing States and eligible coastal political subdivisions? (a) The Office of Natural Resources... 30 Mineral Resources 2 2014-07-01 2014-07-01 false When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? 519.418 Section 519.418 Mineral Resources BUREAU OF...
Code of Federal Regulations, 2013 CFR
2013-07-01
... Gulf producing States and eligible coastal political subdivisions? (a) The Office of Natural Resources... 30 Mineral Resources 2 2013-07-01 2013-07-01 false When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? 519.418 Section 519.418 Mineral Resources BUREAU OF...
Code of Federal Regulations, 2012 CFR
2012-07-01
... Gulf producing States and eligible coastal political subdivisions? (a) The Office of Natural Resources... 30 Mineral Resources 2 2012-07-01 2012-07-01 false When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? 519.418 Section 519.418 Mineral Resources BUREAU OF...
Code of Federal Regulations, 2011 CFR
2011-07-01
... When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? (a... 30 Mineral Resources 2 2011-07-01 2011-07-01 false When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? 219.418 Section 219.418 Mineral Resources BUREAU OF...
ERIC Educational Resources Information Center
Upright, Paula A.
2009-01-01
The purpose of this study was to describe the reclassification process of Western Kentucky University's football program from the Football Championship Subdivision (FCS) to the Football Bowl Subdivision (FBS), the highest and most visible level of NCAA competition. Three research questions guided the study: (a) Why did Western Kentucky University…
46 CFR 46.15-10 - Subdivision load lines.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 45 and a “diamond” shall be substituted for the “disk”. No “fresh water” line will be marked. [CGFR... located in line with the highest subdivision load line. (f) One fresh water line shall be marked. When a subdivision and a normal load line are combined, the normal fresh water line only shall be used unless the...
A fast and accurate dihedral interpolation loop subdivision scheme
NASA Astrophysics Data System (ADS)
Shi, Zhuo; An, Yalei; Wang, Zhongshuai; Yu, Ke; Zhong, Si; Lan, Rushi; Luo, Xiaonan
2018-04-01
In this paper, we propose a fast and accurate dihedral interpolation Loop subdivision scheme for subdivision surfaces based on triangular meshes. In order to solve the problem of surface shrinkage, we keep the limit condition unchanged, which is important. Extraordinary vertices are handled using modified Butterfly rules. Subdivision schemes are computationally costly as the number of faces grows exponentially at higher levels of subdivision. To address this problem, our approach is to use local surface information to adaptively refine the model. This is achieved simply by changing the threshold value of the dihedral angle parameter, i.e., the angle between the normals of a triangular face and its adjacent faces. We then demonstrate the effectiveness of the proposed method for various 3D graphic triangular meshes, and extensive experimental results show that it can match or exceed the expected results at lower computational cost.
Hierarchical Volume Representation with 3{radical}2 Subdivision and Trivariate B-Spline Wavelets
DOE Office of Scientific and Technical Information (OSTI.GOV)
Linsen, L; Gray, JT; Pascucci, V
2002-01-11
Multiresolution methods provide a means for representing data at multiple levels of detail. They are typically based on a hierarchical data organization scheme and update rules needed for data value computation. We use a data organization that is based on what we call n{radical}2 subdivision. The main advantage of subdivision, compared to quadtree (n = 2) or octree (n = 3) organizations, is that the number of vertices is only doubled in each subdivision step instead of multiplied by a factor of four or eight, respectively. To update data values we use n-variate B-spline wavelets, which yields better approximations formore » each level of detail. We develop a lifting scheme for n = 2 and n = 3 based on the n{radical}2-subdivision scheme. We obtain narrow masks that could also provide a basis for view-dependent visualization and adaptive refinement.« less
Level III Ecoregions of EPA Region 7
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of EPA Region 7
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of New Jersey
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of EPA Region 1
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of New Mexico
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of EPA Region 10
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of the Conterminous United States
Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level III ecoregions. Methods used to define the ecoregions are explained in Omernik (
Level IV Ecoregions of EPA Region 3
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of EPA Region 10
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of EPA Region 2
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of EPA Region 2
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of North Carolina
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of EPA Region 5
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of EPA Region 5
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of EPA Region 1
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level IV Ecoregions of EPA Region 6
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of South Carolina
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level III Ecoregions of EPA Region 3
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of EPA Region 6
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of New Hampshire
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 50 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 105 regions whereas the conterminous United States has 85 (U.S. Environmental Protection Agency, 2011). Level IV ecoregions are further subdivisions of Level III eco
Level IV Ecoregions of EPA Region 4
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Level III Ecoregions of EPA Region 4
Ecoregions by EPA region were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level I
Land use planning and wildfire: development policies influence future probability of housing loss
Syphard, Alexandra D.; Massada, Avi Bar; Butsic, Van; Keeley, Jon E.
2013-01-01
Increasing numbers of homes are being destroyed by wildfire in the wildland-urban interface. With projections of climate change and housing growth potentially exacerbating the threat of wildfire to homes and property, effective fire-risk reduction alternatives are needed as part of a comprehensive fire management plan. Land use planning represents a shift in traditional thinking from trying to eliminate wildfires, or even increasing resilience to them, toward avoiding exposure to them through the informed placement of new residential structures. For land use planning to be effective, it needs to be based on solid understanding of where and how to locate and arrange new homes. We simulated three scenarios of future residential development and projected landscape-level wildfire risk to residential structures in a rapidly urbanizing, fire-prone region in southern California. We based all future development on an econometric subdivision model, but we varied the emphasis of subdivision decision-making based on three broad and common growth types: infill, expansion, and leapfrog. Simulation results showed that decision-making based on these growth types, when applied locally for subdivision of individual parcels, produced substantial landscape-level differences in pattern, location, and extent of development. These differences in development, in turn, affected the area and proportion of structures at risk from burning in wildfires. Scenarios with lower housing density and larger numbers of small, isolated clusters of development, i.e., resulting from leapfrog development, were generally predicted to have the highest predicted fire risk to the largest proportion of structures in the study area, and infill development was predicted to have the lowest risk. These results suggest that land use planning should be considered an important component to fire risk management and that consistently applied policies based on residential pattern may provide substantial benefits for future risk reduction.
Nakamura, Hisashi; Hioki, Hiroyuki; Furuta, Takahiro; Kaneko, Takeshi
2015-05-01
The lateral posterior thalamic nucleus (LP) is one of the components of the extrageniculate pathway in the rat visual system, and is cytoarchitecturally divided into three subdivisions--lateral (LPl), rostromedial (LPrm), and caudomedial (LPcm) portions. To clarify the differences in the dendritic fields and axonal arborisations among the three subdivisions, we applied a single-neuron labeling technique with viral vectors to LP neurons. The proximal dendrites of LPl neurons were more numerous than those of LPrm and LPcm neurons, and LPrm neurons tended to have wider dendritic fields than LPl neurons. We then analysed the axonal arborisations of LP neurons by reconstructing the axon fibers in the cortex. The LPl, LPrm and LPcm were different from one another in terms of the projection targets--the main target cortical regions of LPl and LPrm neurons were the secondary and primary visual areas, whereas those of LPcm neurons were the postrhinal and temporal association areas. Furthermore, the principal target cortical layers of LPl neurons in the visual areas were middle layers, but that of LPrm neurons was layer 1. This indicates that LPl and LPrm neurons can be categorised into the core and matrix types of thalamic neurons, respectively, in the visual areas. In addition, LPl neurons formed multiple axonal clusters within the visual areas, whereas the fibers of LPrm neurons were widely and diffusely distributed. It is therefore presumed that these two types of neurons play different roles in visual information processing by dual thalamocortical innervation of the visual areas. © 2015 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
Code of Federal Regulations, 2010 CFR
2010-07-01
... Gulf producing States share in the qualified OCS revenues? 219.413 Section 219.413 Mineral Resources... subdivisions of Gulf producing States share in the qualified OCS revenues? Of the revenues allocated to a Gulf producing State, 20 percent will be distributed to the coastal political subdivisions within that State. ...
The role, use and benefits of natural recreation areas within and near residential subdivisions
Christine A. Vogt; Robert W. Marans
2002-01-01
This paper presents results from a recent study about the role of natural resources in residential development. Data were collected using focus groups and a home owner questionnaire in selected subdivisions in two rapidly growing counties located at the urban/rural fringe of the Detroit Metropolitan area. Developers of the selected subdivisions planned for and created...
ERIC Educational Resources Information Center
Parkway School District, Chesterfield, MO.
This unit, designed for use with junior high school students, focuses on the factors involved in subdivision design and planning. Although it is specifically constructed for use in the Parkway School District, Chesterfield, Missouri, it could be adapted for use in any suburban area where subdivisions (multiple and/or single family units) exist. It…
46 CFR 42.09-10 - Stability, subdivision, and strength.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 2 2010-10-01 2010-10-01 false Stability, subdivision, and strength. 42.09-10 Section..., subdivision, and strength. (a) All vessels. Where regulations in this part, or in part 46 of this subchapter... strength requirements are in §§ 42.09-1, 42.13-1, 42.13-5, and 42.15-1. The applicable flooded stability...
46 CFR 42.09-10 - Stability, subdivision, and strength.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 46 Shipping 2 2011-10-01 2011-10-01 false Stability, subdivision, and strength. 42.09-10 Section..., subdivision, and strength. (a) All vessels. Where regulations in this part, or in part 46 of this subchapter... strength requirements are in §§ 42.09-1, 42.13-1, 42.13-5, and 42.15-1. The applicable flooded stability...
Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception
NASA Astrophysics Data System (ADS)
Livingstone, Margaret; Hubel, David
1988-05-01
Anatomical and physiological observations in monkeys indicate that the primate visual system consists of several separate and independent subdivisions that analyze different aspects of the same retinal image: cells in cortical visual areas 1 and 2 and higher visual areas are segregated into three interdigitating subdivisions that differ in their selectivity for color, stereopsis, movement, and orientation. The pathways selective for form and color seem to be derived mainly from the parvocellular geniculate subdivisions, the depth- and movement-selective components from the magnocellular. At lower levels, in the retina and in the geniculate, cells in these two subdivisions differ in their color selectivity, contrast sensitivity, temporal properties, and spatial resolution. These major differences in the properties of cells at lower levels in each of the subdivisions led to the prediction that different visual functions, such as color, depth, movement, and form perception, should exhibit corresponding differences. Human perceptual experiments are remarkably consistent with these predictions. Moreover, perceptual experiments can be designed to ask which subdivisions of the system are responsible for particular visual abilities, such as figure/ground discrimination or perception of depth from perspective or relative movement--functions that might be difficult to deduce from single-cell response properties.
Interconnections of the visual cortex with the frontal cortex in the rat.
Sukekawa, K
1988-01-01
Horseradish peroxidase conjugated to wheat germ agglutinin (WGA-HRP) and autoradiography of tritiated leucine were used to trace the cortical origins and terminations of the connections between the visual and frontal cortices in the rat. Ipsilateral reciprocal connections between each subdivision of the visual cortex (areas 17, 18a and 18b) and the posterior half of the medial part of the frontal agranular cortex (PAGm), and their laminar organizations were confirmed. These connections did not appear to have a significant topographic organization. Although in areas 17 and 18b terminals or cells of origin in this fiber system were confined to the anterior half of these cortices, in area 18a they were observed spanning the anteroposterior extent of this cortex, with in part a column like organization. No evidence could be found for the participation of both the posterior parts of areas 17 and 18b and the anterior half of this frontal agranular cortex in these connections. Fibers from each subdivision of the visual cortex to the PAGm terminated predominantly in the lower part of layer I and in layer II. In area 17, this occipito-frontal projection was found to arise from the scattered pyramidal cells in layer V and more prominently from pyramidal cells in layer V of area 17/18a border. In area 18a, the fibers projecting to the PAGm originated mainly from pyramidal cells primarily in layer V and to a lesser extent in layers II, III and VI. Whereas in area 18b, this projection was found to arise mainly from pyramidal cells in layers II and III, to a lesser extent in layers V and VI, and less frequent in layer IV. On the other hand, the reciprocal projection to the visual cortex was found to originate largely from pyramidal cells in layers III and V of the PAGm. In areas 17 and 18a, these fibers terminated in layers I and VI, and in layers I, V and VI, respectively. Whereas in area 18b, they were distributed throughout all layers except layer II.
46 CFR 171.065 - Subdivision requirements- Type I.
Code of Federal Regulations, 2011 CFR
2011-10-01
... located above the inner bottom forward or aft of the machinery space in cubic feet. P=the volume of... volume of the machinery space and the volumes of any fuel tanks which are located above the inner bottom... and the total volume of passenger spaces above the margin line. (c) The distance A in Figure 171.065...
46 CFR 171.065 - Subdivision requirements- Type I.
Code of Federal Regulations, 2014 CFR
2014-10-01
... located above the inner bottom forward or aft of the machinery space in cubic feet. P=the volume of... volume of the machinery space and the volumes of any fuel tanks which are located above the inner bottom... and the total volume of passenger spaces above the margin line. (c) The distance A in Figure 171.065...
46 CFR 171.065 - Subdivision requirements- Type I.
Code of Federal Regulations, 2013 CFR
2013-10-01
... located above the inner bottom forward or aft of the machinery space in cubic feet. P=the volume of... volume of the machinery space and the volumes of any fuel tanks which are located above the inner bottom... and the total volume of passenger spaces above the margin line. (c) The distance A in Figure 171.065...
46 CFR 171.065 - Subdivision requirements- Type I.
Code of Federal Regulations, 2012 CFR
2012-10-01
... located above the inner bottom forward or aft of the machinery space in cubic feet. P=the volume of... volume of the machinery space and the volumes of any fuel tanks which are located above the inner bottom... and the total volume of passenger spaces above the margin line. (c) The distance A in Figure 171.065...
12 CFR 1010.102 - General instructions for completing the Statement of Record.
Code of Federal Regulations, 2013 CFR
2013-01-01
... subdivision. If printed these subheadings shall be capitalized and shall begin at the left hand margin of the... protection of purchasers. (l) Required documentation. Where the documentation required by the Statement of... on the left side, both sides of the pages may be used for printed material. If it is typed or...
12 CFR 1010.102 - General instructions for completing the Statement of Record.
Code of Federal Regulations, 2012 CFR
2012-01-01
... subdivision. If printed these subheadings shall be capitalized and shall begin at the left hand margin of the... protection of purchasers. (l) Required documentation. Where the documentation required by the Statement of... on the left side, both sides of the pages may be used for printed material. If it is typed or...
Insular subdivisions functional connectivity dysfunction within major depressive disorder.
Peng, Xiaolong; Lin, Pan; Wu, Xiaoping; Gong, Ruxue; Yang, Rui; Wang, Jue
2018-02-01
Major depressive disorder (MDD) is a mental disorder characterized by cognitive and affective deficits. Previous studies suggested that insula is a crucial node of the salience network for initiating network switching, and dysfunctional connection to this region may be related to the mechanism of MDD. In this study, we systematically investigated and quantified the altered functional connectivity (FC) of the specific insular subdivisions and its relationship to psychopathology of MDD. Resting-state FC of insular subdivisions, including bilateral ventral/dorsal anterior insula and posterior insula, were estimated in 19 MDD patients and 19 healthy controls. Abnormal FC was quantified between groups. Additionally, we investigated the relationships between insular connectivity and depressive symptom severity. MDD patients demonstrated aberrant FC for insular subdivisions to superior temporal sulcus, inferior prefrontal gyrus, amygdala and posterior parietal cortex. Moreover, depression symptoms (Hamilton Depression Rating Scale and Hamilton Anxiety Rating Scale scorers) were associated with the FC values of insular subdivisions. First, the sample size of our current study is relatively small, which may affect the statistic power. Second, using standardized insular subdivision seeds for FC analyses may neglect subtle natural differences in size and location of functional area across individuals and may thus affect connectivity maps. Abnormal FC of insular subdivisions to default network and central executive network may represent impaired intrinsic networks switching which may affect the underlying emotional and sensory disturbances in MDD. And our findings can help to understand the pathophysiology and underlying neural mechanisms of MDD. Copyright © 2017 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Skala, Vaclav
2016-06-01
There are many space subdivision and space partitioning techniques used in many algorithms to speed up computations. They mostly rely on orthogonal space subdivision, resp. using hierarchical data structures, e.g. BSP trees, quadtrees, octrees, kd-trees, bounding volume hierarchies etc. However in some applications a non-orthogonal space subdivision can offer new ways for actual speed up. In the case of convex polygon in E2 a simple Point-in-Polygon test is of the O(N) complexity and the optimal algorithm is of O(log N) computational complexity. In the E3 case, the complexity is O(N) even for the convex polyhedron as no ordering is defined. New Point-in-Convex Polygon and Point-in-Convex Polyhedron algorithms are presented based on space subdivision in the preprocessing stage resulting to O(1) run-time complexity. The presented approach is simple to implement. Due to the principle of duality, dual problems, e.g. line-convex polygon, line clipping, can be solved in a similarly.
Fischer, H P; Lankes, G
1991-01-01
The microanatomic organization of focal nodular hyperplasia (FNH) of the liver was analyzed to obtain information about the histogenesis of this tumor-like lesion. All of the 11 examples of FNH studied showed subdivision into multiple pseudolobules, which were characterized by fibrovascular and ductular areas radiating from perilobular septa, and an expanding periphery of normal appearing hepatocytes. Immunohistochemical analysis showed continuous transitions from normal hepatocytes in the periphery of the pseudolobules, which expressed only the keratins 8 and 18, to small hepatocytes and ductular aggregates in the center of the pseudolobules, both of which also expressed the keratins 7 and 19. Ductular metaplasia of hepatocytes was always accompanied by sinusoidal endothelial cells stained by the endothelial markers BMA 120, M 616, and by an increase in collagenous fibers especially of type III. Further development of this fibrovascular and ductular transformation lead to subdivision of the involved pseudolobules. The pseudolobules had similar mean sizes, irrespective of their site in the periphery or the center of the FNHs, showing that proliferation, fibrovascular and ductular transformation and subdivision of these micronodules are a basic histogenetic phenomenon in FNH. The findings indicate that local changes in the interrelations between liver epithelial and mesenchymal cells influence substantially the abnormal but nevertheless regulated growth of liver parenchyma which gives rise to FNH.
46 CFR 171.065 - Subdivision requirements- Type I.
Code of Federal Regulations, 2010 CFR
2010-10-01
... the following: (i) 0.6LN (0.056LN) where— N=the total number of passengers; and L=LBP in feet (meters... bulkhead deck. EC01MR91.021 Table 171.065(a) (English units) Vessel length (LBP) Criterion numeral (CN) FS CN less than or equal to 23 A Vessel length greater than 392 feet CN greater than 23 and less than...
Dynamic mesh adaption for triangular and tetrahedral grids
NASA Technical Reports Server (NTRS)
Biswas, Rupak; Strawn, Roger
1993-01-01
The following topics are discussed: requirements for dynamic mesh adaption; linked-list data structure; edge-based data structure; adaptive-grid data structure; three types of element subdivision; mesh refinement; mesh coarsening; additional constraints for coarsening; anisotropic error indicator for edges; unstructured-grid Euler solver; inviscid 3-D wing; and mesh quality for solution-adaptive grids. The discussion is presented in viewgraph form.
Larsen, Trine R; Gerke, Oke; Diederichsen, Axel C P; Lambrechtsen, Jess; Steffensen, Flemming H; Sand, Niels P; Saaby, Lotte; Antonsen, Steen; Mickley, Hans
2018-05-01
Uric acid (UA) has been associated with the presence and severity of coronary artery disease. To further assess the role of UA role in coronary artery disease, we investigated UA levels in both healthy asymptomatic middle-aged individuals and in different subgroups of hospitalized patients with suspected or definite myocardial infarction (MI). The severity of coronary artery calcification (CAC) was examined in asymptomatic individuals (n=1039) using a noncontrast computed tomography scan. Hospitalized patients with suspected acute MI (n=772) were grouped according to troponin I (TnI) concentrations: (i) elevated TnI concentrations (>0.03 µg/l) with subdivision according to the type of MI and other clinical conditions associated with myocardial injury, or (ii) nonelevated TnI concentrations (≤0.03 µg/l). UA was not associated with the severity of CAC in asymptomatic individuals when adjusting for relevant risk factors. Patients with type 2 MI and patients with myocardial injury associated with conditions of myocardial ischemia showed significantly higher UA levels (0.390 mmol/l, P=0.002 and 0.400 mmol/l, P=0.001, respectively) than patients with type 1 MI (0.329 mmol/l), after adjusting for other risk factors. UA was not correlated with the severity of CAC in asymptomatic middle-aged individuals, and patients with type 2 MI or ischemic myocardial injury were shown to have higher UA levels than type 1 MI patients. This observation is concordant with the hypothesis that UA might be involved in the pathophysiological mechanisms leading to an imbalance in the oxygen supply/demand ratio in type 2 MI and ischemic myocardial injury.
Iasevoli, Felice; Valchera, Alessandro; Di Giovambattista, Emanuela; Marconi, Massimo; Rapagnani, Maria Paola; De Berardis, Domenico; Martinotti, Giovanni; Fornaro, Michele; Mazza, Monica; Tomasetti, Carmine; Buonaguro, Elisabetta F; Di Giannantonio, Massimo; Perugi, Giulio; de Bartolomeis, Andrea
2013-11-01
The aim of this study was to assess whether different affective temperaments could be related to a specific mood disorder diagnosis and/or to different therapeutic choices in inpatients admitted for an acute relapse of their primary mood disorder. Hundred and twenty-nine inpatients were consecutively assessed by means of the Structured and Clinical Interview for axis-I disorders/Patient edition and by the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego auto-questionnaire, Young Mania Rating Scale, Hamilton Scale for Depression and for Anxiety, Brief Psychiatry Rating Scale, Clinical Global impression, Drug Attitude Inventory, Barratt Impulsiveness Scale, Toronto Alexithymia Scale, and Symptoms Checklist-90 items version, along with records of clinical and demographic data. The following prevalence rates for axis-I mood diagnoses were detected: bipolar disorder type I (BD-I, 28%), type II (31%), type not otherwise specified (BD-NOS, 33%), major depressive disorder (4%), and schizoaffective disorder (4%). Mean scores on the hyperthymic temperament scale were significantly higher in BD-I and BD-NOS, and in mixed and manic acute states. Hyperthymic temperament was significantly more frequent in BD-I and BD-NOS patients, whereas depressive temperament in BD-II ones. Hyperthymic and irritable temperaments were found more frequently in mixed episodes, while patients with depressive and mixed episodes more frequently exhibited anxious and depressive temperaments. Affective temperaments were associated with specific symptom and psychopathology clusters, with an orthogonal subdivision between hyperthymic temperament and anxious/cyclothymic/depressive/irritable temperaments. Therapeutic choices were often poorly differentiated among temperaments and mood states. Cross-sectional design; sample size. Although replication studies are needed, current results suggest that temperament-specific clusters of symptoms severity and psychopathology domains could be described. © 2013 Elsevier B.V. All rights reserved.
Match probabilities in a finite, subdivided population
Malaspinas, Anna-Sapfo; Slatkin, Montgomery; Song, Yun S.
2011-01-01
We generalize a recently introduced graphical framework to compute the probability that haplotypes or genotypes of two individuals drawn from a finite, subdivided population match. As in the previous work, we assume an infinite-alleles model. We focus on the case of a population divided into two subpopulations, but the underlying framework can be applied to a general model of population subdivision. We examine the effect of population subdivision on the match probabilities and the accuracy of the product rule which approximates multi-locus match probabilities as a product of one-locus match probabilities. We quantify the deviation from predictions of the product rule by R, the ratio of the multi-locus match probability to the product of the one-locus match probabilities.We carry out the computation for two loci and find that ignoring subdivision can lead to underestimation of the match probabilities if the population under consideration actually has subdivision structure and the individuals originate from the same subpopulation. On the other hand, under a given model of population subdivision, we find that the ratio R for two loci is only slightly greater than 1 for a large range of symmetric and asymmetric migration rates. Keeping in mind that the infinite-alleles model is not the appropriate mutation model for STR loci, we conclude that, for two loci and biologically reasonable parameter values, population subdivision may lead to results that disfavor innocent suspects because of an increase in identity-by-descent in finite populations. On the other hand, for the same range of parameters, population subdivision does not lead to a substantial increase in linkage disequilibrium between loci. Those results are consistent with established practice. PMID:21266180
Quantifying the Role of Population Subdivision in Evolution on Rugged Fitness Landscapes
Bitbol, Anne-Florence; Schwab, David J.
2014-01-01
Natural selection drives populations towards higher fitness, but crossing fitness valleys or plateaus may facilitate progress up a rugged fitness landscape involving epistasis. We investigate quantitatively the effect of subdividing an asexual population on the time it takes to cross a fitness valley or plateau. We focus on a generic and minimal model that includes only population subdivision into equivalent demes connected by global migration, and does not require significant size changes of the demes, environmental heterogeneity or specific geographic structure. We determine the optimal speedup of valley or plateau crossing that can be gained by subdivision, if the process is driven by the deme that crosses fastest. We show that isolated demes have to be in the sequential fixation regime for subdivision to significantly accelerate crossing. Using Markov chain theory, we obtain analytical expressions for the conditions under which optimal speedup is achieved: valley or plateau crossing by the subdivided population is then as fast as that of its fastest deme. We verify our analytical predictions through stochastic simulations. We demonstrate that subdivision can substantially accelerate the crossing of fitness valleys and plateaus in a wide range of parameters extending beyond the optimal window. We study the effect of varying the degree of subdivision of a population, and investigate the trade-off between the magnitude of the optimal speedup and the width of the parameter range over which it occurs. Our results, obtained for fitness valleys and plateaus, also hold for weakly beneficial intermediate mutations. Finally, we extend our work to the case of a population connected by migration to one or several smaller islands. Our results demonstrate that subdivision with migration alone can significantly accelerate the crossing of fitness valleys and plateaus, and shed light onto the quantitative conditions necessary for this to occur. PMID:25122220
Price, Gavin R; Yeo, Darren J; Wilkey, Eric D; Cutting, Laurie E
2018-04-01
The present study investigates the relation between resting-state functional connectivity (rsFC) of cytoarchitectonically defined subdivisions of the parietal cortex at the end of 1st grade and arithmetic performance at the end of 2nd grade. Results revealed a dissociable pattern of relations between rsFC and arithmetic competence among subdivisions of intraparietal sulcus (IPS) and angular gyrus (AG). rsFC between right hemisphere IPS subdivisions and contralateral IPS subdivisions positively correlated with arithmetic competence. In contrast, rsFC between the left hIP1 and the right medial temporal lobe, and rsFC between the left AG and left superior frontal gyrus, were negatively correlated with arithmetic competence. These results suggest that strong inter-hemispheric IPS connectivity is important for math development, reflecting either neurocognitive mechanisms specific to arithmetic processing, domain-general mechanisms that are particularly relevant to arithmetic competence, or structural 'cortical maturity'. Stronger connectivity between IPS, and AG, subdivisions and frontal and temporal cortices, however, appears to be negatively associated with math development, possibly reflecting the ability to disengage suboptimal problem-solving strategies during mathematical processing, or to flexibly reorient task-based networks. Importantly, the reported results pertain even when controlling for reading, spatial attention, and working memory, suggesting that the observed rsFC-behavior relations are specific to arithmetic competence. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
12 CFR 1010.113 - Local services.
Code of Federal Regulations, 2014 CFR
2014-01-01
... protection. (c) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d...
12 CFR 1010.113 - Local services.
Code of Federal Regulations, 2013 CFR
2013-01-01
... protection. (c) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d...
12 CFR 1010.113 - Local services.
Code of Federal Regulations, 2012 CFR
2012-01-01
... protection. (c) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d...
Evolution of columns, modules, and domains in the neocortex of primates.
Kaas, Jon H
2012-06-26
The specialized regions of neocortex of mammals, called areas, have been divided into smaller functional units called minicolumns, columns, modules, and domains. Here we describe some of these functional subdivisions of areas in primates and suggest when they emerged in mammalian evolution. We distinguish several types of these smaller subdivisions. Minicolumns, vertical arrays of neurons that are more densely interconnected with each other than with laterally neighboring neurons, are present in all cortical areas. Classic columns are defined by a repeating pattern of two or more types of cortex distinguished by having different inputs and neurons with different response properties. Sensory stimuli that continuously vary along a stimulus dimension may activate groups of neurons that vary continuously in location, producing "columns" without specific boundaries. Other groups or columns of cortical neurons are separated by narrow septa of fibers that reflect discontinuities in the receptor sheet. Larger regions of posterior parietal cortex and frontal motor cortex are parts of networks devoted to producing different sequences of movements. We distinguish these larger functionally distinct regions as domains. Columns of several types have evolved independently a number of times. Some of the columns found in primates likely emerged with the first primates, whereas others likely were present in earlier ancestors. The sizes and shapes of columns seem to depend on the balance of neuron activation patterns and molecular signals during development.
Sims, K S; Williams, R S
1990-01-01
We examined the distribution of acetylcholinesterase and nicotinamide adenine dinucleotide phosphate diaphorase enzyme activity in the human amygdala using histochemical techniques. Both methods revealed compartments of higher or lower enzyme activity, in cells or neuropil, which corresponded to the nuclear subdivisions of the amygdala as defined with classical Nissl and myelin methods. The boundaries between the histochemical compartments were usually so sharp that the identification of these nuclear subdivisions was enhanced. There was also variation of staining intensity within many of the nuclear subdivisions, such as the lateral and central nuclei, anterior amygdaloid area and the intercalated groups. This histochemical difference corresponded to more subtle differences in Nissl and myelin staining patterns, and suggests further structural subdivisions of potential functional significance. We present a revised scheme of anatomical parcellation of the human amygdala based upon serial analysis with all four techniques. Our expectation is that this will allow the delineation of a clearer homology between the cytoarchitectonic subdivisions of the human amygdala and those of experimental animals.
24 CFR 1710.113 - Local services.
Code of Federal Regulations, 2012 CFR
2012-04-01
...) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d) Hospital. Give the name...
24 CFR 1710.113 - Local services.
Code of Federal Regulations, 2011 CFR
2011-04-01
...) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d) Hospital. Give the name...
24 CFR 1710.113 - Local services.
Code of Federal Regulations, 2014 CFR
2014-04-01
...) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d) Hospital. Give the name...
24 CFR 1710.113 - Local services.
Code of Federal Regulations, 2013 CFR
2013-04-01
...) Schools. State whether elementary, junior high and senior high schools are available to residents of the subdivision. Is school bus transportation available from within the subdivision? (d) Hospital. Give the name...
Code of Federal Regulations, 2011 CFR
2011-10-01
... Location Uniform average permeability 10 (a−c) Machinery Space 85+____ v 35(b) Volume Forward of Machinery Space 95−__ v 35(b) Volume Aft of Machinery Space 95−___ v For each location specified in this table— a=volume below the margin line of all spaces that, in the full load condition, normally contain no cargo...
Code of Federal Regulations, 2013 CFR
2013-10-01
... Location Uniform average permeability 10 (a−c) Machinery Space 85+____ v 35(b) Volume Forward of Machinery Space 95−__ v 35(b) Volume Aft of Machinery Space 95−___ v For each location specified in this table— a=volume below the margin line of all spaces that, in the full load condition, normally contain no cargo...
Code of Federal Regulations, 2014 CFR
2014-10-01
... Location Uniform average permeability 10 (a−c) Machinery Space 85+____ v 35(b) Volume Forward of Machinery Space 95−__ v 35(b) Volume Aft of Machinery Space 95−___ v For each location specified in this table— a=volume below the margin line of all spaces that, in the full load condition, normally contain no cargo...
Code of Federal Regulations, 2012 CFR
2012-10-01
... Location Uniform average permeability 10 (a−c) Machinery Space 85+____ v 35(b) Volume Forward of Machinery Space 95−__ v 35(b) Volume Aft of Machinery Space 95−___ v For each location specified in this table— a=volume below the margin line of all spaces that, in the full load condition, normally contain no cargo...
The morphology of the ridge belts on Venus
NASA Astrophysics Data System (ADS)
Kriuchkov, V. P.
1990-06-01
The length and spacing of linear features were measured for ridge and groove belts, for the outer mountain zones of the Lakshmi planum, and for the outer ridge zones of coronal structures. The distributions of these parameters show small but significant differences in most of the cases. The ridges are assumed to result from deformations. Deformed-layer thickness were estimated for various types of linear subdivisions.
Possibilities in identification of genomic species of Burkholderia cepacia complex by PCR and RFLP.
Navrátilová, Lucie; Chromá, Magdalena; Hanulík, Vojtech; Raclavský, Vladislav
2013-01-01
The strains belonging to Burkholderia cepacia complex are important opportunistic pathogens in immunocompromised patients and cause serious diseases. It is possible to obtain isolates from soil, water, plants and human samples. Taxonomy of this group is difficult. Burkholderia cepacia complex consists of seventeen genomic species and the genetic scheme is based on recA gene. Commonly, first five genomovars occurre in humans, mostly genomovars II and III, subdivision IIIA. Within this study we tested identification of first five genomovars by PCR with following melting analysis and RFLP. The experiments were targeted on eubacterial 16S rDNA and specific gene recA, which allowed identification of all five genomovars. RecA gene appeared as more suitable than 16S rDNA, which enabled direct identification of only genomovars II and V; genomovars I, III and IV were similar within 16S rDNA sequence.
Code of Federal Regulations, 2010 CFR
2010-10-01
... its subdivision, a Board of Dentistry or its subdivision, or an equivalent body as determined by the... practice dentistry by a State (or who, without authority, holds himself or herself out to be so authorized...
Roadway design standards for rural and suburban subdivisions.
DOT National Transportation Integrated Search
2007-06-01
In Iowa, there are currently no uniform design standards for rural and suburban subdivision development roadways. Without uniform : design standards, many counties are unable to provide adequate guidance for public facilities, particularly roadways, ...
Modified Angle's Classification for Primary Dentition.
Chandranee, Kaushik Narendra; Chandranee, Narendra Jayantilal; Nagpal, Devendra; Lamba, Gagandeep; Choudhari, Purva; Hotwani, Kavita
2017-01-01
This study aims to propose a modification of Angle's classification for primary dentition and to assess its applicability in children from Central India, Nagpur. Modification in Angle's classification has been proposed for application in primary dentition. Small roman numbers i/ii/iii are used for primary dentition notation to represent Angle's Class I/II/III molar relationships as in permanent dentition, respectively. To assess applicability of modified Angle's classification a cross-sectional preschool 2000 children population from central India; 3-6 years of age residing in Nagpur metropolitan city of Maharashtra state were selected randomly as per the inclusion and exclusion criteria. Majority 93.35% children were found to have bilateral Class i followed by 2.5% bilateral Class ii and 0.2% bilateral half cusp Class iii molar relationships as per the modified Angle's classification for primary dentition. About 3.75% children had various combinations of Class ii relationships and 0.2% children were having Class iii subdivision relationship. Modification of Angle's classification for application in primary dentition has been proposed. A cross-sectional investigation using new classification revealed various 6.25% Class ii and 0.4% Class iii molar relationships cases in preschool children population in a metropolitan city of Nagpur. Application of the modified Angle's classification to other population groups is warranted to validate its routine application in clinical pediatric dentistry.
The research of new type stratified water injection process intelligent measurement technology
NASA Astrophysics Data System (ADS)
Zhao, Xin
2017-10-01
To meet the needs of injection and development of Daqing Oilfield, the injection of oil from the early stage of general water injection to the subdivision of water is the purpose of improving the utilization degree and the qualified rate of water injection, improving the performance of water injection column and the matching process. Sets of suitable for high water content of the effective water injection technology supporting technology. New layered water injection technology intelligent measurement technology will be more information testing and flow control combined into a unified whole, long-term automatic monitoring of the work of the various sections, in the custom The process has the characteristics of "multi-layer synchronous measurement, continuous monitoring of process parameters, centralized admission data", which can meet the requirement of subdivision water injection, but also realize the automatic synchronization measurement of each interval, greatly improve the efficiency of tiered injection wells to provide a new means for the remaining oil potential.
Land Use Planning and Wildfire: Development Policies Influence Future Probability of Housing Loss
Syphard, Alexandra D.; Bar Massada, Avi; Butsic, Van; Keeley, Jon E.
2013-01-01
Increasing numbers of homes are being destroyed by wildfire in the wildland-urban interface. With projections of climate change and housing growth potentially exacerbating the threat of wildfire to homes and property, effective fire-risk reduction alternatives are needed as part of a comprehensive fire management plan. Land use planning represents a shift in traditional thinking from trying to eliminate wildfires, or even increasing resilience to them, toward avoiding exposure to them through the informed placement of new residential structures. For land use planning to be effective, it needs to be based on solid understanding of where and how to locate and arrange new homes. We simulated three scenarios of future residential development and projected landscape-level wildfire risk to residential structures in a rapidly urbanizing, fire-prone region in southern California. We based all future development on an econometric subdivision model, but we varied the emphasis of subdivision decision-making based on three broad and common growth types: infill, expansion, and leapfrog. Simulation results showed that decision-making based on these growth types, when applied locally for subdivision of individual parcels, produced substantial landscape-level differences in pattern, location, and extent of development. These differences in development, in turn, affected the area and proportion of structures at risk from burning in wildfires. Scenarios with lower housing density and larger numbers of small, isolated clusters of development, i.e., resulting from leapfrog development, were generally predicted to have the highest predicted fire risk to the largest proportion of structures in the study area, and infill development was predicted to have the lowest risk. These results suggest that land use planning should be considered an important component to fire risk management and that consistently applied policies based on residential pattern may provide substantial benefits for future risk reduction. PMID:23977120
Mayo, John W.
2008-01-01
The conversion of agricultural land to urban residential land is associated with rapid population growth in the Grand Valley of western Colorado. Information regarding the effects of this land-use conversion on deep percolation, irrigation-water application, and associated salt loading to the Colorado River is needed to support water-resource planning and conservation efforts. The Natural Resources Conservation Service (NRCS) assessed deep percolation and estimated salt loading derived from irrigated agricultural lands in the Grand Valley in a 1985 to 2002 monitoring and evaluation study (NRCS M&E). The U.S. Geological Survey (USGS), in cooperation with the Colorado River Salinity Control Forum and the Mesa Conservation District, quantified the current (2005-2006) deep percolation and irrigation-water application characteristics of 1/4-acre residential lots and 5-acre estates, urban parks, and urban orchard grass fields in the Grand Valley, and compared the results to NRCS M&E results from alfalfa-crop sites. In addition, pond seepage from three irrigation-water holding ponds was estimated. Salt loading was estimated for the urban study results and the NRCS M&E results by using standard salt-loading factors. A daily soil-moisture balance calculation technique was used at all urban study irrigated sites. Deep percolation was defined as any water infiltrating below the top 12 inches of soil. Deep percolation occurred when the soil-moisture balance in the first 12 inches of soil exceeded the field capacity for the soil type at each site. Results were reported separately for urban study bluegrass-only sites and for all-vegetation type (bluegrass, native plants, and orchard grass) sites. Deep percolation and irrigation-water application also were estimated for a complete irrigation season at three subdivisions by using mean site data from each subdivision. It was estimated that for the three subdivisions, 37 percent of the developed acreage was irrigated (the balance being impermeable surfaces).
NASA Astrophysics Data System (ADS)
Stow, Dorrik A. V.; Shanmugam, Ganapathy
1980-01-01
A comparative study of the sequence of sedimentary structures in ancient and modern fine-grained turbidites is made in three contrasting areas. They are (1) Holocene and Pleistocene deep-sea muds of the Nova Scotian Slope and Rise, (2) Middle Ordovician Sevier Shale of the Valley and Ridge Province of the Southern Appalachians, and (3) Cambro-Ordovician Halifax Slate of the Meguma Group in Nova Scotia. A standard sequence of structures is proposed for fine-grained turbidites. The complete sequence has nine sub-divisions that are here termed T 0 to T 8. "The lower subdivision (T 0) comprises a silt lamina which has a sharp, scoured and load-cast base, internal parallel-lamination and cross-lamination, and a sharp current-lineated or wavy surface with 'fading-ripples' (= Type C etc. …)." (= Type C ripple-drift cross-lamination, Jopling and Walker, 1968). The overlying sequence shows textural and compositional grading through alternating silt and mud laminae. A convolute-laminated sub-division (T 1) is overlain by low-amplitude climbing ripples (T 2), thin regular laminae (T 3), thin indistinct laminae (T 4), and thin wipsy or convolute laminae (T 5). The topmost three divisions, graded mud (T 6), ungraded mud (T 7) and bioturbated mud (T 8), do not have silt laminae but rare patchy silt lenses and silt pseudonodules and a thin zone of micro-burrowing near the upper surface. The proposed sequence is analogous to the Bouma (1962) structural scheme for sandy turbidites and is approximately equivalent to Bouma's (C)DE divisions. The repetition of partial sequences characterizes different parts of the slope/base-of-slope/basin plain environment, and represents deposition from different stages of evolution of a large, muddy, turbidity flow. Microstructural detail and sequence are well preserved in ancient and even slightly metamorphosed sediments. Their recognition is important for determining depositional processes and for palaeoenvironmental interpretation.
Research and design on orthogonal diffraction grating-based 3D nanometer displacement sensor
NASA Astrophysics Data System (ADS)
Liu, Baoshuai; Yuan, Yibao; Yin, Zhehao
2017-10-01
This study concerns an orthogonal diffraction grating-based nanometer displacement sensor. In this study, we performed calculation of displacements in the XYZ directions. In the optical measured path part, we used a two-dimensional orthogonal motion grating and a two-dimensional orthogonal reference grating with the pitch of 0.5um to measure the displacement of XYZ in three directions by detecting ±1st diffraction fringes. The self-collimated structure of the grating greatly extended the Z-axis range. We also simulated the optical path of the sensor with ZEMAX software and verified the feasibility of the scheme. For signal subdivision and processing, we combined large number counting (completed grating line) with small number counting (digital subdivision), realizing high multiples of subdivision of grating interference signals. We used PC to process the interference fringes and greatly improved the processing speed. In the scheme, the theoretical multiples of subdivision could reach 1024 with 10-bit AD conversion, but the actual multiples of subdivision was limited by the quality of the grating interference signals. So we introduced an orthogonal compensation circuit and a filter circuit to improve the signal quality.
A postsynaptic PI3K-cII dependent signaling controller for presynaptic homeostatic plasticity
Hauswirth, Anna G; Ford, Kevin J; Wang, Tingting; Fetter, Richard D; Tong, Amy
2018-01-01
Presynaptic homeostatic plasticity stabilizes information transfer at synaptic connections in organisms ranging from insect to human. By analogy with principles of engineering and control theory, the molecular implementation of PHP is thought to require postsynaptic signaling modules that encode homeostatic sensors, a set point, and a controller that regulates transsynaptic negative feedback. The molecular basis for these postsynaptic, homeostatic signaling elements remains unknown. Here, an electrophysiology-based screen of the Drosophila kinome and phosphatome defines a postsynaptic signaling platform that includes a required function for PI3K-cII, PI3K-cIII and the small GTPase Rab11 during the rapid and sustained expression of PHP. We present evidence that PI3K-cII localizes to Golgi-derived, clathrin-positive vesicles and is necessary to generate an endosomal pool of PI(3)P that recruits Rab11 to recycling endosomal membranes. A morphologically distinct subdivision of this platform concentrates postsynaptically where we propose it functions as a homeostatic controller for retrograde, trans-synaptic signaling. PMID:29303480
Lin, Chao-Yuan; Fu, Kuei-Lin; Lin, Cheng-Yu
2016-11-01
Recent extreme rainfall events led to many landslides due to climate changes in Taiwan. How to effectively promote post-disaster treatment and/or management works in a watershed/drainage basin is a crucial issue. Regarding the processes of watershed treatment and/or management works, disaster hotspot scanning and treatment priority setup should be carried out in advance. A scanning method using landslide ratio to determine the appropriate outlet of an interested watershed, and an optimal subdivision system with better homogeneity and accuracy in landslide ratio estimation were developed to help efficient executions of treatment and/or management works. Topography is a key factor affecting watershed landslide ratio. Considering the complexity and uncertainty of the natural phenomenon, multivariate analysis was applied to understand the relationship between topographic factors and landslide ratio in the interested watershed. The concept of species-area curve, which is usually adopted at on-site vegetation investigation to determinate the suitable quadrate size, was used to derive the optimal threshold in subdivisions. Results show that three main component axes including factors of scale, network and shape extracted from Digital Terrain Model coupled with areas of landslide can effectively explain the characteristics of landslide ratio in the interested watershed, and a relation curve obtained from the accuracy of landslide ratio classification and number of subdivisions could be established to derive optimal subdivision of the watershed. The subdivision method promoted in this study could be further used for priority rank and benefit assessment of landslide treatment in a watershed.
Botch, Paul S; Houseman, Richard M
2016-04-01
In Missouri, the relative abundances of subterranean termite species differ between undeveloped forest and urban landscapes. Reticulitermes hageni Banks occurs in greater relative proportions in forested landscapes, while Reticulitermes flavipes (Kollar) occurs in greater relative proportions in urban landscapes. Thus, subterranean termite communities appear to change at some point as landscapes are converted from undeveloped to urban. It is not known if communities change quickly in direct response to urban development, or if changes occur over time in altered urban landscapes. The purpose of this study is to examine how landscape factors are associated with subterranean termite communities and patterns of colonization as subdivisions are constructed and age. Subterranean termites were collected from 25 areas in Columbia, MO, that were classified along a gradient of urbanization to include 1) undeveloped landscapes; 2) recently disturbed transitional landscapes; 3) 10-yr-old subdivisions; and 4) 20-yr-old subdivisions. Subterranean termite communities were assessed by identifying species using polymerase chain reaction-based restriction fragment length polymorphisms. The interactions between landscape features and subterranean termites were examined using GIS software. Relative proportions of Reticulitermes spp. in communities of forest landscapes and urban areas are similar to previous reports for the state of Missouri. Termite communities appear to be locally eliminated after soils are disturbed or removed during subdivision development, although remnant colonies can persist in areas that are not disturbed. Reticulitermes flavipes appears to colonize subdivisions quickly regardless of historical or contemporary landscape; however, R. hageni colonization generally becomes more common as subdivisions age and gradually become more forested.
A time-efficient algorithm for implementing the Catmull-Clark subdivision method
NASA Astrophysics Data System (ADS)
Ioannou, G.; Savva, A.; Stylianou, V.
2015-10-01
Splines are the most popular methods in Figure Modeling and CAGD (Computer Aided Geometric Design) in generating smooth surfaces from a number of control points. The control points define the shape of a figure and splines calculate the required number of points which when displayed on a computer screen the result is a smooth surface. However, spline methods are based on a rectangular topological structure of points, i.e., a two-dimensional table of vertices, and thus cannot generate complex figures, such as the human and animal bodies that their complex structure does not allow them to be defined by a regular rectangular grid. On the other hand surface subdivision methods, which are derived by splines, generate surfaces which are defined by an arbitrary topology of control points. This is the reason that during the last fifteen years subdivision methods have taken the lead over regular spline methods in all areas of modeling in both industry and research. The cost of executing computer software developed to read control points and calculate the surface is run-time, due to the fact that the surface-structure required for handling arbitrary topological grids is very complicate. There are many software programs that have been developed related to the implementation of subdivision surfaces however, not many algorithms are documented in the literature, to support developers for writing efficient code. This paper aims to assist programmers by presenting a time-efficient algorithm for implementing subdivision splines. The Catmull-Clark which is the most popular of the subdivision methods has been employed to illustrate the algorithm.
NASA Astrophysics Data System (ADS)
Lin, Chao-Yuan; Fu, Kuei-Lin; Lin, Cheng-Yu
2016-11-01
Recent extreme rainfall events led to many landslides due to climate changes in Taiwan. How to effectively promote post-disaster treatment and/or management works in a watershed/drainage basin is a crucial issue. Regarding the processes of watershed treatment and/or management works, disaster hotspot scanning and treatment priority setup should be carried out in advance. A scanning method using landslide ratio to determine the appropriate outlet of an interested watershed, and an optimal subdivision system with better homogeneity and accuracy in landslide ratio estimation were developed to help efficient executions of treatment and/or management works. Topography is a key factor affecting watershed landslide ratio. Considering the complexity and uncertainty of the natural phenomenon, multivariate analysis was applied to understand the relationship between topographic factors and landslide ratio in the interested watershed. The concept of species-area curve, which is usually adopted at on-site vegetation investigation to determinate the suitable quadrate size, was used to derive the optimal threshold in subdivisions. Results show that three main component axes including factors of scale, network and shape extracted from Digital Terrain Model coupled with areas of landslide can effectively explain the characteristics of landslide ratio in the interested watershed, and a relation curve obtained from the accuracy of landslide ratio classification and number of subdivisions could be established to derive optimal subdivision of the watershed. The subdivision method promoted in this study could be further used for priority rank and benefit assessment of landslide treatment in a watershed.
Subdivision Roads : Minimum Construction Standards
DOT National Transportation Integrated Search
2000-01-01
Any person or corporation desiring to construct a new subdivision road which is to be dedicated as public, must submit the following information to the District Engineer for proper evaluation in order to obtain a certificate of approval as required b...
Yeo, Matthew; Mauricio, Isabel L; Messenger, Louisa A; Lewis, Michael D; Llewellyn, Martin S; Acosta, Nidia; Bhattacharyya, Tapan; Diosque, Patricio; Carrasco, Hernan J; Miles, Michael A
2011-06-01
Multilocus sequence typing (MLST) is a powerful and highly discriminatory method for analysing pathogen population structure and epidemiology. Trypanosoma cruzi, the protozoan agent of American trypanosomiasis (Chagas disease), has remarkable genetic and ecological diversity. A standardised MLST protocol that is suitable for assignment of T. cruzi isolates to genetic lineage and for higher resolution diversity studies has not been developed. We have sequenced and diplotyped nine single copy housekeeping genes and assessed their value as part of a systematic MLST scheme for T. cruzi. A minimum panel of four MLST targets (Met-III, RB19, TcGPXII, and DHFR-TS) was shown to provide unambiguous assignment of isolates to the six known T. cruzi lineages (Discrete Typing Units, DTUs TcI-TcVI). In addition, we recommend six MLST targets (Met-II, Met-III, RB19, TcMPX, DHFR-TS, and TR) for more in depth diversity studies on the basis that diploid sequence typing (DST) with this expanded panel distinguished 38 out of 39 reference isolates. Phylogenetic analysis implies a subdivision between North and South American TcIV isolates. Single Nucleotide Polymorphism (SNP) data revealed high levels of heterozygosity among DTUs TcI, TcIII, TcIV and, for three targets, putative corresponding homozygous and heterozygous loci within DTUs TcI and TcIII. Furthermore, individual gene trees gave incongruent topologies at inter- and intra-DTU levels, inconsistent with a model of strict clonality. We demonstrate the value of systematic MLST diplotyping for describing inter-DTU relationships and for higher resolution diversity studies of T. cruzi, including presence of recombination events. The high levels of heterozygosity will facilitate future population genetics analysis based on MLST haplotypes.
State of the art in the management of through traffic in residential subdivisions.
DOT National Transportation Integrated Search
1977-01-01
Through traffic in residential subdivisions results from motorists seeking shortcuts between two arterial roads, or trying to avoid saturated intersections of two arterial roads. Control techniques to reduce through traffic could be classified into i...
A design guide for subdivision pavements in Virginia.
DOT National Transportation Integrated Search
1973-01-01
The design method for secondary roads and that for subdivision roads are based on AASHO Road Test Results and Virginia's design experience. For flexible pavements, the methods are divided into two parts: (1) the evaluation of the soil support value o...
Code of Federal Regulations, 2010 CFR
2010-07-01
... unaltered form, or altered solely through naturally occurring processes or phenomena, from a location where... federal agency, and a state or political subdivision operating pursuant to a contract or cooperative... or political subdivision operating pursuant to a contract or cooperative agreement under CERCLA...
Shen, Lujun; Li, Wang; Wang, Siyang; Xie, Guofeng; Zeng, Qi; Chen, Chen; Shi, Feng; Zhang, Ying; Wu, Ming; Shu, Wanhong; Pan, Changchuan; Xia, Yunfei; Wu, Peihong
2016-09-01
Purpose To establish an image-based M1 category subdivision system for personalized prognosis prediction and treatment planning in patients with metastatic nasopharyngeal carcinoma (NPC). Materials and Methods A total of 1172 patients with metachronous metastasic NPC were retrospectively enrolled (the dataset is from Sun Yat-sen University Cancer Center for derivation, and the combined datasets are from Guangzhou Medical University Cancer Center and the Fifth Affiliated Hospital of Sun Yat-sen University for validation). The Ethics Committee of the three centers approved this study. A general subdivision system of the M1 category was established on the basis of the most influential metastatic features for overall survival (OS). The following multilevel subdivision system for precise subdivision of the M1 category was designed: M [number of locations]-Location [number of lesions], with B indicating bone, L indicating the lung, H indicating the liver, and N indicating a node. The correlation of the M1 subdivisions with OS was determined with Cox regression. The best treatment response was assessed with Response Evaluation Criteria in Solid Tumors 1.1 guidelines and modified Response Evaluation Criteria in Solid Tumors criteria. Results Multivariate analysis in the derivation cohort showed that the number of metastatic lesions (multiple or single), the number of metastatic locations (multiple or single), liver involvement, and bone involvement were independent prognostic factors for OS. In general, subdividing the cohort by the number of metastatic lesions and the number of metastatic locations resulted in three subcategories of differential OS: M1a, a single lesion in a single organ or location; M1b, multiple lesions in a single organ or location; and M1c, metastases in multiple locations (for M1b vs M1a, hazard ratio [HR] = 2.28, 95% confidence interval [CI]: 1.71, 3.05; for M1c vs M1a, HR = 3.65, 95% CI: 2.75, 4.85); these subdivisions were externally validated. The multilevel subdivision system could be further used to discriminate among subgroups of differential OS under the M1b subcategory. Findings from analysis of multilevel subgroups suggested that patients with a single metastatic lesion (M1-B1, M1-L1, M1-H1, M1-N1) or two lesions in the liver only (M1-H2) had high rates of complete response (CR) or complete surgical resection (CSR) and 3-year OS after treatment (CR plus CSR rates >30%, and 3-year OS rates >50%); there were high 3-year OS rates (>50%) in patients with stage M1-B2, M1-L2, or M1-H3 disease but relatively low rates of CR or CSR. Conclusion Use of the multilevel M1 subdivision system in patients with NPC could facilitate more precise prognosis prediction and better identification of patients who will respond well to treatment than the conventional subdivision strategy. (©) RSNA, 2016 Online supplemental material is available for this article.
Design of secondary and subdivision roads in Virginia based on thickness equivalency values.
DOT National Transportation Integrated Search
1971-01-01
The design of secondary and subdivision roads in Virginia is based on the design charts recommended by the Highway Department. In view of recently gained knowledge of materials and design techniques, the Pavement Research Advisory Committee requested...
45 CFR 205.120 - Statewide operation.
Code of Federal Regulations, 2010 CFR
2010-10-01
...), ADMINISTRATION FOR CHILDREN AND FAMILIES, DEPARTMENT OF HEALTH AND HUMAN SERVICES GENERAL ADMINISTRATION-PUBLIC... equitable standards for assistance and administration that are mandatory throughout the State; (2) If administered by political subdivisions of the State, the plan will be mandatory on such political subdivisions...
Of Settlements and Subdivisions...
ERIC Educational Resources Information Center
Williams, Harold S.
1991-01-01
Subdivisions are the dominant form of new housing, characterized by nonlinear patterns, pure residential land use, and resident homogeneity. Advocates traditional small town approach to development, which provides a range of residents and opportunities for frequent social interactions. Recommends strategies to overcome barriers to small town…
Calretinin immunoreactivity in the claustrum of the rat
Druga, Rastislav; Salaj, Martin; Barinka, Filip; Edelstein, Lawrence; Kubová, Hana
2015-01-01
The claustrum is a telencephalic structure which consists of dorsal segment adjoining the insular cortex and a ventral segment termed also endopiriform nucleus (END). The dorsal segment (claustrum) is divided into a dorsal and ventral zone, while the END is parcellated into dorsal, ventral and intermediate END. The claustrum and the END consist of glutamatergic projection neurons and GABAergic local interneurons coexpressing calcium binding proteins. Among neurons expressing calcium binding proteins the calretinin (CR)-immunoreactive interneurons exert specific functions in neuronal circuits, including disinhibition of excitatory neurons. Previous anatomical data indicate extensive and reciprocally organized claustral projections with cerebral cortex. We asked if the distribution of cells immunoreactive for CR delineates anatomical or functional subdivisions in the claustrum and in the END. Both segments of the claustrum and all subdivisions of the END contained CR immunoreactive neurons with varying distribution. The ventral zone of the claustrum exhibited weak labeling with isolated cell bodies and thin fibers and is devoid of immunoreactive puncta. Within the medial margin of the intermediate END we noted a group of strongly positive neurons. Cells immunoreactive for CR in all subdivisions of the claustrum and END were bipolar, multipolar and oval with smooth, beaded aspiny dendrites. Small number of CR-immunoreactive neurons displayed thin dendrites which enter to adjoining structures. Penetration of dendrites was reciprocal. These results show an inhomogenity over the claustrum and the END in distribution and types of CR immunoreactive neurons. The distribution of the CR-immunoreactive neurons respects the anatomical but not functional zones of the claustral complex. PMID:25653596
Ether- and Ester-Bound iso-Diabolic Acid and Other Lipids in Members of Acidobacteria Subdivision 4
Rijpstra, W. Irene C.; Hopmans, Ellen C.; Foesel, Bärbel U.; Wüst, Pia K.; Overmann, Jörg; Tank, Marcus; Bryant, Donald A.; Dunfield, Peter F.; Houghton, Karen; Stott, Matthew B.
2014-01-01
Recently, iso-diabolic acid (13,16-dimethyl octacosanedioic acid) has been identified as a major membrane-spanning lipid of subdivisions 1 and 3 of the Acidobacteria, a highly diverse phylum within the Bacteria. This finding pointed to the Acidobacteria as a potential source for the bacterial glycerol dialkyl glycerol tetraethers that occur ubiquitously in peat, soil, lakes, and hot springs. Here, we examined the lipid composition of seven phylogenetically divergent strains of subdivision 4 of the Acidobacteria, a bacterial group that is commonly encountered in soil. Acid hydrolysis of total cell material released iso-diabolic acid derivatives in substantial quantities (11 to 48% of all fatty acids). In contrast to subdivisions 1 and 3 of the Acidobacteria, 6 out of the 7 species of subdivision 4 (excepting “Candidatus Chloracidobacterium thermophilum”) contained iso-diabolic acid ether bound to a glycerol in larger fractional abundance than iso-diabolic acid itself. This is in agreement with the analysis of intact polar lipids (IPLs) by high-performance liquid chromatography-mass spectrometry (HPLC-MS), which showed the dominance of mixed ether-ester glycerides. iso-Diabolic acid-containing IPLs were not identified, because these IPLs are not released with a Bligh-Dyer extraction, as observed before when studying lipid compositions of subdivisions 1 and 3 of the Acidobacteria. The presence of ether bonds in the membrane lipids does not seem to be an adaptation to temperature, because the five mesophilic isolates contained a larger amount of ether lipids than the thermophile “Ca. Chloracidobacterium thermophilum.” Furthermore, experiments with Pyrinomonas methylaliphatogenes did not reveal a major influence of growth temperature over the 50 to 69°C range. PMID:24928878
Study on the integration of layered water injection technology and subdivision adjustment
NASA Astrophysics Data System (ADS)
Zhang, Yancui
2018-06-01
With oil many infillings, thin and poor reservoir exploitation changes gradually to low permeability, thin and poor reservoir development characteristics of multiple layers thickness, low permeability, in the actual development process, the General Department of oil layers of encryption perforation long thin and poor mining, interlayer contradiction more prominent, by conventional layered water injection that can alleviate the contradiction between layers to a certain extent, by the injection interval and other factors can not fundamentally solve the problem, leading to the potential well area key strata or layers is difficult to determine, the layering test and slicing technology is difficult to adapt to the need of tap water control block. This paper through numerical simulation using the conceptual model and the actual block, it has a great influence on the low permeability reservoir of different stratified water permeability combination of permeability technology and application limits, profit and loss balance principle, low oil prices on the lower series of subdivision technical and economic limit, so the reservoir subdivision reorganization, narrow wells mining, reduce the interference between layers, from the maximum fundamental improvement of layered water injection efficiency. At the same time, in order to meet the needs of reservoir subdivision adjustment, subdividing distance with water, a small interlayer wells subdivision technology for further research in the pickup, solved using two ordinary bridge eccentric water regulator with injection of two layers, by throwing exercise distance limit card from the larger problem, the water distribution card size from 7.0m to 1.0m, and the testing efficiency is improved, and provide technical support for further subdivision water injection wells.
Papp, Rege S; Palkovits, Miklós
2014-01-01
The projections from the dorsolateral hypothalamic area (DLH) to the lower brainstem have been investigated by using biotinylated dextran amine (BDA), an anterograde tracer in rats. The DLH can be divided into 3 areas (dorsomedial hypothalamus, perifornical area, lateral hypothalamic area), and further subdivided into 8 subdivisions. After unilateral stereotaxic injections of BDA into individual DLH subdivisions, the correct sites of injections were controlled histologically, and the distribution patterns of BDA-positive fibers were mapped on serial sections between the hypothalamus and spinal cord in 22 rats. BDA-labeled fibers were observable over 100 different brainstem areas, nuclei, or subdivisions. Injections into the 8 DLH subdivisions established distinct topographical patterns. In general, the density of labeled fibers was low in the lower brainstem. High density of fibers was seen only 4 of the 116 areas: in the lateral and ventrolateral parts of the periaqueductal gray, the Barrington's, and the pedunculopontine tegmental nuclei. All of the biogenic amine cell groups in the lower brainstem (9 noradrenaline, 3 adrenaline, and 9 serotonin cell groups) received labeled fibers, some of them from all, or at least 7 DLH subdivisions, mainly from perifornical and ventral lateral hypothalamic neurons. Some of the tegmental nuclei and nuclei of the reticular formation were widely innervated, although the density of the BDA-labeled fibers was generally low. No definitive descending BDA-positive pathway, but long-run solitaire BDA-labeled fibers were seen in the lower brainstem. These descending fibers joined some of the large tracts or fasciculi in the brainstem. The distribution pattern of BDA-positive fibers of DLH origin throughout the lower brainstem was comparable to patterns of previously published orexin- or melanin-concentrating hormone-immunoreactive fibers with somewhat differences.
Papp, Rege S.; Palkovits, Miklós
2014-01-01
The projections from the dorsolateral hypothalamic area (DLH) to the lower brainstem have been investigated by using biotinylated dextran amine (BDA), an anterograde tracer in rats. The DLH can be divided into 3 areas (dorsomedial hypothalamus, perifornical area, lateral hypothalamic area), and further subdivided into 8 subdivisions. After unilateral stereotaxic injections of BDA into individual DLH subdivisions, the correct sites of injections were controlled histologically, and the distribution patterns of BDA-positive fibers were mapped on serial sections between the hypothalamus and spinal cord in 22 rats. BDA-labeled fibers were observable over 100 different brainstem areas, nuclei, or subdivisions. Injections into the 8 DLH subdivisions established distinct topographical patterns. In general, the density of labeled fibers was low in the lower brainstem. High density of fibers was seen only 4 of the 116 areas: in the lateral and ventrolateral parts of the periaqueductal gray, the Barrington's, and the pedunculopontine tegmental nuclei. All of the biogenic amine cell groups in the lower brainstem (9 noradrenaline, 3 adrenaline, and 9 serotonin cell groups) received labeled fibers, some of them from all, or at least 7 DLH subdivisions, mainly from perifornical and ventral lateral hypothalamic neurons. Some of the tegmental nuclei and nuclei of the reticular formation were widely innervated, although the density of the BDA-labeled fibers was generally low. No definitive descending BDA-positive pathway, but long-run solitaire BDA-labeled fibers were seen in the lower brainstem. These descending fibers joined some of the large tracts or fasciculi in the brainstem. The distribution pattern of BDA-positive fibers of DLH origin throughout the lower brainstem was comparable to patterns of previously published orexin- or melanin-concentrating hormone-immunoreactive fibers with somewhat differences. PMID:24904303
Cádiz-Moretti, Bernardita; Otero-García, Marcos; Martínez-García, Fernando; Lanuza, Enrique
2016-03-01
The medial amygdaloid nucleus (Me) is a key node in the socio-sexual brain, composed of anterior (MeA), posteroventral (MePV) and posterodorsal (MePD) subdivisions. These subdivisions have been suggested to play a different role in reproductive and defensive behaviours. In the present work we analyse the afferents of the three Me subdivisions using restricted injections of fluorogold in female outbred CD1 mice. The results reveal that the MeA, MePV and MePD share a common pattern of afferents, with some differences in the density of retrograde labelling in several nuclei. Common afferents to Me subdivisions include: the accessory olfactory bulbs, piriform cortex and endopiriform nucleus, chemosensory amygdala (receiving direct inputs from the olfactory bulbs), posterior part of the medial bed nucleus of the stria terminalis (BSTM), CA1 in the ventral hippocampus and posterior intralaminar thalamus. Minor projections originate from the basolateral amygdala and amygdalo-hippocampal area, septum, ventral striatum, several allocortical and periallocortical areas, claustrum, several hypothalamic structures, raphe and parabrachial complex. MeA and MePV share minor inputs from the frontal cortex (medial orbital, prelimbic, infralimbic and dorsal peduncular cortices), but differ in the lack of main olfactory projections to the MePV. By contrast, the MePD receives preferential projections from the rostral accessory olfactory bulb, the posteromedial BSTM and the ventral premammillary nucleus. In summary, the common pattern of afferents to the Me subdivisions and their interconnections suggest that they play cooperative instead of differential roles in the various behaviours (e.g., sociosexual, defensive) in which the Me has been shown to be involved.
Range Management Affects Native Ungulate Populations in Península Valdés, a World Natural Heritage
Nabte, Marcela J.; Marino, Andrea I.; Rodríguez, María Victoria; Monjeau, Adrián; Saba, Sergio L.
2013-01-01
Sheep rearing is the main productive activity in Patagonian rangelands, where guanacos are the only native ungulate. Ranchers perceive a decrease in range carrying capacity as guanaco numbers increase, therefore guanaco conservation within private lands becomes a considerable challenge. This issue is particularly evident in the World Natural Heritage Península Valdés (PV), where there is a need to harmonize livestock production and biodiversity conservation. While sheep rearing prevails as the primary land use in the area, some ecotourism initiatives have been implemented to complement livestock production. In order to study how land use affected guanaco distribution, we characterized PV's ranches in terms of land subdivision, primary productivity, stocking-rate and management type, and assess how these variables affected guanaco encounter rates. Smaller ranches were composed of smaller paddocks (mean size 4.8 km2), which showed higher values of the remote-sensing derived Enhance Vegetation Index (EVI) (mean 0.14) and held higher sheep densities (mean 108.0 sheep/km2), while larger management units (mean size 23.8 km2), showed lower EVI values (mean 0.12) and lower stocking-rates (mean 36.7 sheep/km2). This pattern suggests that primary productivity has been a decisive factor to determine the minimal paddock size set by ranchers in PV, apparently precluding excessive land-subdivision in less productive areas. Guanaco encounter rate, expressed as number of guanacos per travelled kilometre, was inversely related to EVI and stocking-rate. However, land subdivision was the better predictor of guanaco encounter-rate within only sheep ranches, finding more guanacos per kilometre as paddock size increased. In contrast, in ranches where ecotourism was implemented as a complementary activity, guanaco encounter-rates were greater, regardless of paddock size. Our results suggest that the implementation of an additional activity by which landowners derive benefits from wildlife has prompted a beneficial outcome for guanacos, presumably through a decrease in harassment intensity. Finally, we propose possible mechanisms by which land subdivision may affect guanaco distribution and potential alternatives for the inclusion of wildlife conservation in a context of extensive livestock production. PMID:23390546
Range management affects native ungulate populations in Península Valdés, a World Natural Heritage.
Nabte, Marcela J; Marino, Andrea I; Rodríguez, María Victoria; Monjeau, Adrián; Saba, Sergio L
2013-01-01
Sheep rearing is the main productive activity in Patagonian rangelands, where guanacos are the only native ungulate. Ranchers perceive a decrease in range carrying capacity as guanaco numbers increase, therefore guanaco conservation within private lands becomes a considerable challenge. This issue is particularly evident in the World Natural Heritage Península Valdés (PV), where there is a need to harmonize livestock production and biodiversity conservation. While sheep rearing prevails as the primary land use in the area, some ecotourism initiatives have been implemented to complement livestock production. In order to study how land use affected guanaco distribution, we characterized PV's ranches in terms of land subdivision, primary productivity, stocking-rate and management type, and assess how these variables affected guanaco encounter rates. Smaller ranches were composed of smaller paddocks (mean size 4.8 km(2)), which showed higher values of the remote-sensing derived Enhance Vegetation Index (EVI) (mean 0.14) and held higher sheep densities (mean 108.0 sheep/km(2)), while larger management units (mean size 23.8 km(2)), showed lower EVI values (mean 0.12) and lower stocking-rates (mean 36.7 sheep/km(2)). This pattern suggests that primary productivity has been a decisive factor to determine the minimal paddock size set by ranchers in PV, apparently precluding excessive land-subdivision in less productive areas. Guanaco encounter rate, expressed as number of guanacos per travelled kilometre, was inversely related to EVI and stocking-rate. However, land subdivision was the better predictor of guanaco encounter-rate within only sheep ranches, finding more guanacos per kilometre as paddock size increased. In contrast, in ranches where ecotourism was implemented as a complementary activity, guanaco encounter-rates were greater, regardless of paddock size. Our results suggest that the implementation of an additional activity by which landowners derive benefits from wildlife has prompted a beneficial outcome for guanacos, presumably through a decrease in harassment intensity. Finally, we propose possible mechanisms by which land subdivision may affect guanaco distribution and potential alternatives for the inclusion of wildlife conservation in a context of extensive livestock production.
24 CFR 1710.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2011 CFR
2011-04-01
... erosion, sedimentation or periodic flooding throughout the subdivision? (2) If there is a program... seeding in areas of heavy grading or cut and fill along with the construction of diversion channels, ditches, outlet channels, waterway stabilizers and sediment control basins.) (f) Nuisances. Are there any...
24 CFR 1710.115 - Subdivision characteristics and climate.
Code of Federal Regulations, 2010 CFR
2010-04-01
... erosion, sedimentation or periodic flooding throughout the subdivision? (2) If there is a program... seeding in areas of heavy grading or cut and fill along with the construction of diversion channels, ditches, outlet channels, waterway stabilizers and sediment control basins.) (f) Nuisances. Are there any...
Code of Federal Regulations, 2014 CFR
2014-01-01
... OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.1 Capacities. (a) The capacities of the standard barrel for fruits, vegetables, and other dry commodities, other than cranberries, and its subdivisions, are... standard cranberry barrel and its subdivisions are as follows: Size Cubic inches Bushels 1 Quarts 1...
Code of Federal Regulations, 2012 CFR
2012-01-01
... OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.1 Capacities. (a) The capacities of the standard barrel for fruits, vegetables, and other dry commodities, other than cranberries, and its subdivisions, are... standard cranberry barrel and its subdivisions are as follows: Size Cubic inches Bushels 1 Quarts 1...
Code of Federal Regulations, 2013 CFR
2013-01-01
... OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.1 Capacities. (a) The capacities of the standard barrel for fruits, vegetables, and other dry commodities, other than cranberries, and its subdivisions, are... standard cranberry barrel and its subdivisions are as follows: Size Cubic inches Bushels 1 Quarts 1...
Code of Federal Regulations, 2011 CFR
2011-01-01
... OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.1 Capacities. (a) The capacities of the standard barrel for fruits, vegetables, and other dry commodities, other than cranberries, and its subdivisions, are... standard cranberry barrel and its subdivisions are as follows: Size Cubic inches Bushels 1 Quarts 1...
Code of Federal Regulations, 2010 CFR
2010-01-01
... OTHER DRY COMMODITIES, AND FOR CRANBERRIES § 241.1 Capacities. (a) The capacities of the standard barrel for fruits, vegetables, and other dry commodities, other than cranberries, and its subdivisions, are... standard cranberry barrel and its subdivisions are as follows: Size Cubic inches Bushels 1 Quarts 1...
Code of Federal Regulations, 2013 CFR
2013-10-01
... SECURITY INSURANCE AND HAZARD MITIGATION National Flood Insurance Program FLOOD MITIGATION GRANTS § 79.2... special flood hazards, and is participating in the NFIP; or (2) A political subdivision of a State, or other authority that is designated by a political subdivision to develop and administer a mitigation...
NASA Astrophysics Data System (ADS)
Fripp, Jurgen; Crozier, Stuart; Warfield, Simon K.; Ourselin, Sébastien
2006-03-01
Subdivision surfaces and parameterization are desirable for many algorithms that are commonly used in Medical Image Analysis. However, extracting an accurate surface and parameterization can be difficult for many anatomical objects of interest, due to noisy segmentations and the inherent variability of the object. The thin cartilages of the knee are an example of this, especially after damage is incurred from injuries or conditions like osteoarthritis. As a result, the cartilages can have different topologies or exist in multiple pieces. In this paper we present a topology preserving (genus 0) subdivision-based parametric deformable model that is used to extract the surfaces of the patella and tibial cartilages in the knee. These surfaces have minimal thickness in areas without cartilage. The algorithm inherently incorporates several desirable properties, including: shape based interpolation, sub-division remeshing and parameterization. To illustrate the usefulness of this approach, the surfaces and parameterizations of the patella cartilage are used to generate a 3D statistical shape model.
Space Subdivision in Indoor Mobile Laser Scanning Point Clouds Based on Scanline Analysis.
Zheng, Yi; Peter, Michael; Zhong, Ruofei; Oude Elberink, Sander; Zhou, Quan
2018-06-05
Indoor space subdivision is an important aspect of scene analysis that provides essential information for many applications, such as indoor navigation and evacuation route planning. Until now, most proposed scene understanding algorithms have been based on whole point clouds, which has led to complicated operations, high computational loads and low processing speed. This paper presents novel methods to efficiently extract the location of openings (e.g., doors and windows) and to subdivide space by analyzing scanlines. An opening detection method is demonstrated that analyses the local geometric regularity in scanlines to refine the extracted opening. Moreover, a space subdivision method based on the extracted openings and the scanning system trajectory is described. Finally, the opening detection and space subdivision results are saved as point cloud labels which will be used for further investigations. The method has been tested on a real dataset collected by ZEB-REVO. The experimental results validate the completeness and correctness of the proposed method for different indoor environment and scanning paths.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Skala, Vaclav
There are many space subdivision and space partitioning techniques used in many algorithms to speed up computations. They mostly rely on orthogonal space subdivision, resp. using hierarchical data structures, e.g. BSP trees, quadtrees, octrees, kd-trees, bounding volume hierarchies etc. However in some applications a non-orthogonal space subdivision can offer new ways for actual speed up. In the case of convex polygon in E{sup 2} a simple Point-in-Polygon test is of the O(N) complexity and the optimal algorithm is of O(log N) computational complexity. In the E{sup 3} case, the complexity is O(N) even for the convex polyhedron as no orderingmore » is defined. New Point-in-Convex Polygon and Point-in-Convex Polyhedron algorithms are presented based on space subdivision in the preprocessing stage resulting to O(1) run-time complexity. The presented approach is simple to implement. Due to the principle of duality, dual problems, e.g. line-convex polygon, line clipping, can be solved in a similarly.« less
Hardware implementation of hierarchical volume subdivision-based elastic registration.
Dandekar, Omkar; Walimbe, Vivek; Shekhar, Raj
2006-01-01
Real-time, elastic and fully automated 3D image registration is critical to the efficiency and effectiveness of many image-guided diagnostic and treatment procedures relying on multimodality image fusion or serial image comparison. True, real-time performance will make many 3D image registration-based techniques clinically viable. Hierarchical volume subdivision-based image registration techniques are inherently faster than most elastic registration techniques, e.g. free-form deformation (FFD)-based techniques, and are more amenable for achieving real-time performance through hardware acceleration. Our group has previously reported an FPGA-based architecture for accelerating FFD-based image registration. In this article we show how our existing architecture can be adapted to support hierarchical volume subdivision-based image registration. A proof-of-concept implementation of the architecture achieved speedups of 100 for elastic registration against an optimized software implementation on a 3.2 GHz Pentium III Xeon workstation. Due to inherent parallel nature of the hierarchical volume subdivision-based image registration techniques further speedup can be achieved by using several computing modules in parallel.
Modified Angle's Classification for Primary Dentition
Chandranee, Kaushik Narendra; Chandranee, Narendra Jayantilal; Nagpal, Devendra; Lamba, Gagandeep; Choudhari, Purva; Hotwani, Kavita
2017-01-01
Aim: This study aims to propose a modification of Angle's classification for primary dentition and to assess its applicability in children from Central India, Nagpur. Methods: Modification in Angle's classification has been proposed for application in primary dentition. Small roman numbers i/ii/iii are used for primary dentition notation to represent Angle's Class I/II/III molar relationships as in permanent dentition, respectively. To assess applicability of modified Angle's classification a cross-sectional preschool 2000 children population from central India; 3–6 years of age residing in Nagpur metropolitan city of Maharashtra state were selected randomly as per the inclusion and exclusion criteria. Results: Majority 93.35% children were found to have bilateral Class i followed by 2.5% bilateral Class ii and 0.2% bilateral half cusp Class iii molar relationships as per the modified Angle's classification for primary dentition. About 3.75% children had various combinations of Class ii relationships and 0.2% children were having Class iii subdivision relationship. Conclusions: Modification of Angle's classification for application in primary dentition has been proposed. A cross-sectional investigation using new classification revealed various 6.25% Class ii and 0.4% Class iii molar relationships cases in preschool children population in a metropolitan city of Nagpur. Application of the modified Angle's classification to other population groups is warranted to validate its routine application in clinical pediatric dentistry. PMID:29326514
Current management of functional dyspepsia: impact of Rome III subdivision
Karamanolis, Georgios P.; Tack, Jan
2012-01-01
Functional dyspepsia (FD) is a highly prevalent disease characterized by symptoms originating from the gastroduodenal region in the absence of underlying organic disease. The Rome III consensus made a distinction between meal-induced and meal-unrelated symptoms and proposed subdivision of FD into postprandial distress syndrome and epigastric pain syndrome. The applicability of this subdivision and the impact on management are areas of active research. So far, empirical approaches are still employed for the treatment of FD, although various therapeutic modalities for FD have been explored; acid-suppressive, prokinetic, and fundic relaxant drugs, antidepressants and psychological therapies. FD remains a challenge and presents unmet clinical needs. PMID:24714074
46 CFR 46.10-65 - Construction.
Code of Federal Regulations, 2011 CFR
2011-10-01
... 46 Shipping 2 2011-10-01 2011-10-01 false Construction. 46.10-65 Section 46.10-65 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-65 Construction. (a) The watertight subdivision of every passenger vessel...
46 CFR 46.10-65 - Construction.
Code of Federal Regulations, 2014 CFR
2014-10-01
... 46 Shipping 2 2014-10-01 2014-10-01 false Construction. 46.10-65 Section 46.10-65 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-65 Construction. (a) The watertight subdivision of every passenger vessel...
46 CFR 46.10-65 - Construction.
Code of Federal Regulations, 2013 CFR
2013-10-01
... 46 Shipping 2 2013-10-01 2013-10-01 false Construction. 46.10-65 Section 46.10-65 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-65 Construction. (a) The watertight subdivision of every passenger vessel...
46 CFR 46.10-65 - Construction.
Code of Federal Regulations, 2012 CFR
2012-10-01
... 46 Shipping 2 2012-10-01 2012-10-01 false Construction. 46.10-65 Section 46.10-65 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-65 Construction. (a) The watertight subdivision of every passenger vessel...
46 CFR 46.10-65 - Construction.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 46 Shipping 2 2010-10-01 2010-10-01 false Construction. 46.10-65 Section 46.10-65 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) LOAD LINES SUBDIVISION LOAD LINES FOR PASSENGER VESSELS Administration § 46.10-65 Construction. (a) The watertight subdivision of every passenger vessel...
45 CFR 303.52 - Pass-through of incentives to political subdivisions.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 45 Public Welfare 2 2010-10-01 2010-10-01 false Pass-through of incentives to political subdivisions. 303.52 Section 303.52 Public Welfare Regulations Relating to Public Welfare OFFICE OF CHILD SUPPORT ENFORCEMENT (CHILD SUPPORT ENFORCEMENT PROGRAM), ADMINISTRATION FOR CHILDREN AND FAMILIES...
24 CFR 1710.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2011 CFR
2011-04-01
.... Any development will likely have some impact on the surrounding environment. Development which... 24 Housing and Urban Development 5 2011-04-01 2011-04-01 false Regulatory exemption-multiple site subdivision-determination required. 1710.15 Section 1710.15 Housing and Urban Development Regulations Relating...
24 CFR 1710.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2014 CFR
2014-04-01
.... Any development will likely have some impact on the surrounding environment. Development which... 24 Housing and Urban Development 5 2014-04-01 2014-04-01 false Regulatory exemption-multiple site subdivision-determination required. 1710.15 Section 1710.15 Housing and Urban Development Regulations Relating...
24 CFR 1710.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2013 CFR
2013-04-01
.... Any development will likely have some impact on the surrounding environment. Development which... 24 Housing and Urban Development 5 2013-04-01 2013-04-01 false Regulatory exemption-multiple site subdivision-determination required. 1710.15 Section 1710.15 Housing and Urban Development Regulations Relating...
24 CFR 1710.15 - Regulatory exemption-multiple site subdivision-determination required.
Code of Federal Regulations, 2012 CFR
2012-04-01
.... Any development will likely have some impact on the surrounding environment. Development which... 24 Housing and Urban Development 5 2012-04-01 2012-04-01 false Regulatory exemption-multiple site subdivision-determination required. 1710.15 Section 1710.15 Housing and Urban Development Regulations Relating...
29 CFR 1601.70 - FEP agency qualifications.
Code of Federal Regulations, 2010 CFR
2010-07-01
...) That the State or political subdivision has a fair employment practice law which makes unlawful... State or political subdivision has either established a State or local authority or authorized an...; or to institute criminal proceedings with respect to the practice. (b) Any State or local agency or...
29 CFR 541.103 - Department or subdivision.
Code of Federal Regulations, 2010 CFR
2010-07-01
... example, a large employer's human resources department might have subdivisions for labor relations, pensions and other benefits, equal employment opportunity, and personnel management, each of which has a... to time to a specific job or series of jobs and a unit with permanent status and function. A...
Sakano, Y.; Kerkhof, L.
1998-01-01
Biofiltration has been used for two decades to remove odors and various volatile organic and inorganic compounds in contaminated off-gas streams. Although biofiltration is widely practiced, there have been few studies of the bacteria responsible for the removal of air contaminants in biofilters. In this study, molecular techniques were used to identify bacteria in a laboratory-scale ammonia biofilter. Both 16S rRNA and ammonia monooxygenase (amoA) genes were used to characterize the heterotrophic and ammonia-oxidizing bacteria collected from the biofilter during a 102-day experiment. The overall diversity of the heterotrophic microbial population appeared to decrease by 38% at the end of the experiment. The community structure of the heterotrophic population also shifted from predominantly members of two subdivisions of the Proteobacteria (the beta and gamma subdivisions) to members of one subdivision (the gamma subdivision). An overall decrease in the diversity of ammonia monooxygenase genes was not observed. However, a shift from groups dominated by organisms containing Nitrosomonas-like and Nitrosospira-like amoA genes to groups dominated by organisms containing only Nitrosospira-like amoA genes was observed. In addition, a new amoA gene was discovered. This new gene is the first freshwater amoA gene that is closely affiliated with Nitrosococcus oceanus and the particulate methane monooxygenase gene from the methane oxidizers belonging to the gamma subdivision of the Proteobacteria. PMID:9835577
DOE Office of Scientific and Technical Information (OSTI.GOV)
Christensen, C.; Horowitz, S.
In subdivisions, house orientations are largely determined by street layout. The resulting house orientations affect energy consumption (annual and on-peak) for heating and cooling, depending on window area distributions and shading from neighboring houses. House orientations also affect energy production (annual and on-peak) from solar thermal and photovoltaic systems, depending on available roof surfaces. Therefore, house orientations fundamentally influence both energy consumption and production, and an appropriate street layout is a prerequisite for taking full advantage of energy efficiency and renewable energy opportunities. The potential influence of street layout on solar performance is often acknowledged, but solar and energy issuesmore » must compete with many other criteria and constraints that influence subdivision street layout. When only general guidelines regarding energy are available, these factors may be ignored or have limited effect. Also, typical guidelines are often not site-specific and do not account for local parameters such as climate and the time value of energy. For energy to be given its due consideration in subdivision design, energy impacts need to be accurately quantified and displayed interactively to facilitate analysis of design alternatives. This paper describes a new computerized Subdivision Energy Analysis Tool being developed to allow users to interactively design subdivision street layouts while receiving feedback about energy impacts based on user-specified building design variants and availability of roof surfaces for photovoltaic and solar water heating systems.« less
NASA Technical Reports Server (NTRS)
Sakano, Y.; Kerkhof, L.; Janes, H. W. (Principal Investigator)
1998-01-01
Biofiltration has been used for two decades to remove odors and various volatile organic and inorganic compounds in contaminated off-gas streams. Although biofiltration is widely practiced, there have been few studies of the bacteria responsible for the removal of air contaminants in biofilters. In this study, molecular techniques were used to identify bacteria in a laboratory-scale ammonia biofilter. Both 16S rRNA and ammonia monooxygenase (amoA) genes were used to characterize the heterotrophic and ammonia-oxidizing bacteria collected from the biofilter during a 102-day experiment. The overall diversity of the heterotrophic microbial population appeared to decrease by 38% at the end of the experiment. The community structure of the heterotrophic population also shifted from predominantly members of two subdivisions of the Proteobacteria (the beta and gamma subdivisions) to members of one subdivision (the gamma subdivision). An overall decrease in the diversity of ammonia monooxygenase genes was not observed. However, a shift from groups dominated by organisms containing Nitrosomonas-like and Nitrosospira-like amoA genes to groups dominated by organisms containing only Nitrosospira-like amoA genes was observed. In addition, a new amoA gene was discovered. This new gene is the first freshwater amoA gene that is closely affiliated with Nitrosococcus oceanus and the particulate methane monooxygenase gene from the methane oxidizers belonging to the gamma subdivision of the Proteobacteria.
PROBLEMS AND METHODOLOGY OF THE PETROLOGIC ANALYSIS OF COAL FACIES.
Chao, Edward C.T.
1983-01-01
This condensed synthesis gives a broad outline of the methodology of coal facies analysis, procedures for constructing sedimentation and geochemical formation curves, and micro- and macrostratigraphic analysis. The hypothetical coal bed profile has a 3-fold cycle of material characteristics. Based on studies of other similar profiles of the same coal bed, and on field studies of the sedimentary rock types and their facies interpretation, one can assume that the 3-fold subdivision is of regional significance.
Distinct types of primary cutaneous large B-cell lymphoma identified by gene expression profiling.
Hoefnagel, Juliette J; Dijkman, Remco; Basso, Katia; Jansen, Patty M; Hallermann, Christian; Willemze, Rein; Tensen, Cornelis P; Vermeer, Maarten H
2005-05-01
In the European Organization for Research and Treatment of Cancer (EORTC) classification 2 types of primary cutaneous large B-cell lymphoma (PCLBCL) are distinguished: primary cutaneous follicle center cell lymphomas (PCFCCL) and PCLBCL of the leg (PCLBCL-leg). Distinction between both groups is considered important because of differences in prognosis (5-year survival > 95% and 52%, respectively) and the first choice of treatment (radiotherapy or systemic chemotherapy, respectively), but is not generally accepted. To establish a molecular basis for this subdivision in the EORTC classification, we investigated the gene expression profiles of 21 PCLBCLs by oligonucleotide microarray analysis. Hierarchical clustering based on a B-cell signature (7450 genes) classified PCLBCL into 2 distinct subgroups consisting of, respectively, 8 PCFCCLs and 13 PCLBCLsleg. PCLBCLs-leg showed increased expression of genes associated with cell proliferation; the proto-oncogenes Pim-1, Pim-2, and c-Myc; and the transcription factors Mum1/IRF4 and Oct-2. In the group of PCFCCL high expression of SPINK2 was observed. Further analysis suggested that PCFCCLs and PCLBCLs-leg have expression profiles similar to that of germinal center B-cell-like and activated B-cell-like diffuse large B-cell lymphoma, respectively. The results of this study suggest that different pathogenetic mechanisms are involved in the development of PCFCCLs and PCLBCLs-leg and provide molecular support for the subdivision used in the EORTC classification.
1 CFR 22.1 - Name of issuing agency and subdivision.
Code of Federal Regulations, 2011 CFR
2011-01-01
... 1 General Provisions 1 2011-01-01 2011-01-01 false Name of issuing agency and subdivision. 22.1 Section 22.1 General Provisions ADMINISTRATIVE COMMITTEE OF THE FEDERAL REGISTER PREPARATION, TRANSMITTAL, AND PROCESSING OF DOCUMENTS PREPARATION OF NOTICES AND PROPOSED RULES Notices § 22.1 Name of issuing...
1 CFR 22.1 - Name of issuing agency and subdivision.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 1 General Provisions 1 2010-01-01 2010-01-01 false Name of issuing agency and subdivision. 22.1 Section 22.1 General Provisions ADMINISTRATIVE COMMITTEE OF THE FEDERAL REGISTER PREPARATION, TRANSMITTAL, AND PROCESSING OF DOCUMENTS PREPARATION OF NOTICES AND PROPOSED RULES Notices § 22.1 Name of issuing...
24 CFR 1710.107 - Risks of buying land.
Code of Federal Regulations, 2011 CFR
2011-04-01
... own sales program and local real estate brokers may not be interested in listing your lot. (4) Any subdivision will have an impact on the surrounding environment. Whether or not the impact is adverse and the degree of impact, will depend on the location, size, planning and extent of development. Subdivisions...
26 CFR 1.995-5 - Foreign investment attributable to producer's loans.
Code of Federal Regulations, 2010 CFR
2010-04-01
... under the foreign direct investment program and the amounts described in subdivision (iv) of this... this subdivision of certain capital raised under the foreign direct investment program is the excess...-term borrowing (see 15 CFR 1000.324 1) for purposes of the foreign direct investment program (see 15...
46 CFR 42.09-10 - Stability, subdivision, and strength.
Code of Federal Regulations, 2012 CFR
2012-10-01
... approval of test results (light ship data) and stability information shall be furnished by the owner. In... a stability test performed under the supervision of the Commandant. Results of such tests, if... 46 Shipping 2 2012-10-01 2012-10-01 false Stability, subdivision, and strength. 42.09-10 Section...
46 CFR 42.09-10 - Stability, subdivision, and strength.
Code of Federal Regulations, 2014 CFR
2014-10-01
... approval of test results (light ship data) and stability information shall be furnished by the owner. In... a stability test performed under the supervision of the Commandant. Results of such tests, if... 46 Shipping 2 2014-10-01 2014-10-01 false Stability, subdivision, and strength. 42.09-10 Section...
46 CFR 42.09-10 - Stability, subdivision, and strength.
Code of Federal Regulations, 2013 CFR
2013-10-01
... approval of test results (light ship data) and stability information shall be furnished by the owner. In... a stability test performed under the supervision of the Commandant. Results of such tests, if... 46 Shipping 2 2013-10-01 2013-10-01 false Stability, subdivision, and strength. 42.09-10 Section...
Theatre for Development: An Overview.
ERIC Educational Resources Information Center
Nogueira, Marcia Pompeo
2002-01-01
Discusses the term Theatre for Development (TFD) by addressing the theatre practice developed by a group of women in Mundemba Sub-Division, Cameroon, which was presented in Anne Tanyi-Tang's article "Theatre for Change: An Analysis of Two Performances by Women in Mundemba Sub-Division" in an earlier issue of this journal. Considers…
DNR Land Records Search Portal
- ARCHAEOLOGICAL SITE 513 - PARK USE PERMIT 521 - SUBDIVISION SALE COMP 522 - AGRICULTURAL SALE COMP 523 - ODDLOT UPLAND 539 - OTHER SALE NON-COMP 541 - SUBDIVISION LEASE COMP 542 - AGRICULTURAL LEASE COMP 543 - ODDLOT - RESIDENTIAL HOMESTEAD 567 - AGRICULTURAL HOMESTEAD 568 - REAA SCHOOL CONVEYANCE 569 - DISPOSAL OF ACCRETED
31 CFR 515.510 - Payments to the United States, States and political subdivisions.
Code of Federal Regulations, 2014 CFR
2014-07-01
... 31 Money and Finance:Treasury 3 2014-07-01 2014-07-01 false Payments to the United States, States and political subdivisions. 515.510 Section 515.510 Money and Finance: Treasury Regulations Relating... ASSETS CONTROL REGULATIONS Licenses, Authorizations, and Statements of Licensing Policy § 515.510...
Alaska Department of Natural Resources
/ Coastal Impact Assistance Program Alaska CIAP Plan December 2010 Amendment - APPROVED FEBRUARY 4, 2011 On state and its eligible Coastal Political Subdivisions (CPSs) will use and manage their CIAP allocation : Project Lists A-1: Direct to State Funding A-2: Direct to Coastal Political Subdivisions Appendix B-1
31 CFR 515.510 - Payments to the United States, States and political subdivisions.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 31 Money and Finance:Treasury 3 2011-07-01 2011-07-01 false Payments to the United States, States and political subdivisions. 515.510 Section 515.510 Money and Finance: Treasury Regulations Relating... ASSETS CONTROL REGULATIONS Licenses, Authorizations, and Statements of Licensing Policy § 515.510...
31 CFR 515.510 - Payments to the United States, States and political subdivisions.
Code of Federal Regulations, 2013 CFR
2013-07-01
... 31 Money and Finance:Treasury 3 2013-07-01 2013-07-01 false Payments to the United States, States and political subdivisions. 515.510 Section 515.510 Money and Finance: Treasury Regulations Relating... ASSETS CONTROL REGULATIONS Licenses, Authorizations, and Statements of Licensing Policy § 515.510...
Code of Federal Regulations, 2010 CFR
2010-04-01
... used (e.g., central system, comfort stations or individual on-site systems such as septic tanks, holding tanks, etc.) in the subdivision? Of the following items, only those which apply to the subdivision... similar storage tanks are to be used, state where water to fill them can be secured; the cost of the water...
Code of Federal Regulations, 2014 CFR
2014-04-01
... W.); (1) The boundary proceeds east following the center subdivision lines of Sections 20 and 21 to its intersection with Colorado Highway 133; (2) Then northeasterly following Colorado Highway 133 to its intersection with the N-S center subdivision line of Section 14, T. 13 S., R. 91 W., near Juanita...
Code of Federal Regulations, 2011 CFR
2011-04-01
... W.); (1) The boundary proceeds east following the center subdivision lines of Sections 20 and 21 to its intersection with Colorado Highway 133; (2) Then northeasterly following Colorado Highway 133 to its intersection with the N-S center subdivision line of Section 14, T. 13 S., R. 91 W., near Juanita...
Code of Federal Regulations, 2013 CFR
2013-04-01
... W.); (1) The boundary proceeds east following the center subdivision lines of Sections 20 and 21 to its intersection with Colorado Highway 133; (2) Then northeasterly following Colorado Highway 133 to its intersection with the N-S center subdivision line of Section 14, T. 13 S., R. 91 W., near Juanita...
Code of Federal Regulations, 2012 CFR
2012-04-01
... W.); (1) The boundary proceeds east following the center subdivision lines of Sections 20 and 21 to its intersection with Colorado Highway 133; (2) Then northeasterly following Colorado Highway 133 to its intersection with the N-S center subdivision line of Section 14, T. 13 S., R. 91 W., near Juanita...
Code of Federal Regulations, 2010 CFR
2010-04-01
... W.); (1) The boundary proceeds east following the center subdivision lines of Sections 20 and 21 to its intersection with Colorado Highway 133; (2) Then northeasterly following Colorado Highway 133 to its intersection with the N-S center subdivision line of Section 14, T. 13 S., R. 91 W., near Juanita...
17 CFR 146.6 - Disclosure to third parties.
Code of Federal Regulations, 2010 CFR
2010-04-01
... control of the United States for a civil or criminal law enforcement activity if the activity is... political subdivision thereof acting within the scope of its jurisdiction as permitted by section 8(e) of... information may be furnished to a department or agency of any state or political subdivision thereof upon...
48 CFR 702.170-8 - Government, Federal, State, local and political subdivisions.
Code of Federal Regulations, 2010 CFR
2010-10-01
... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government, Federal, State, local and political subdivisions. 702.170-8 Section 702.170-8 Federal Acquisition Regulations System AGENCY FOR INTERNATIONAL DEVELOPMENT GENERAL DEFINITIONS OF WORDS AND TERMS Definitions 702.170-8...
13. Dry Dock No. 4. Plan. Subdivision IV (Frederic R. ...
13. Dry Dock No. 4. Plan. Subdivision IV (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
10. Dry Dock No. 4. Plan. Subdivision I (Frederic R. ...
10. Dry Dock No. 4. Plan. Subdivision I (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
12. Dry Dock No. 4. Plan. Subdivision III (Frederic R. ...
12. Dry Dock No. 4. Plan. Subdivision III (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
Federal Register 2010, 2011, 2012, 2013, 2014
2011-06-03
... written trackage rights agreement, Montreal, Maine & Atlantic Railway, Ltd. (MMA) has agreed to grant... milepost 109 on MMA's Millinocket Subdivision) and Brownville Junction, Me. (at or about milepost 104.84 on the Mattawamkeag Subdivision of the Eastern Maine Railway (EMR)), including MMA's Brownville Junction...
33 CFR 157.21 - Subdivision and stability.
Code of Federal Regulations, 2014 CFR
2014-07-01
.... vessel must meet the following subdivision and damage stability criteria after assuming side and bottom damages, as defined in appendix B of this part. A U.S. vessel that meets the requirements in this section... account sinkage, heel, and trim, must be below the lower edge of an opening through which progressive...
33 CFR 157.21 - Subdivision and stability.
Code of Federal Regulations, 2012 CFR
2012-07-01
.... vessel must meet the following subdivision and damage stability criteria after assuming side and bottom damages, as defined in appendix B of this part. A U.S. vessel that meets the requirements in this section... account sinkage, heel, and trim, must be below the lower edge of an opening through which progressive...
33 CFR 157.21 - Subdivision and stability.
Code of Federal Regulations, 2013 CFR
2013-07-01
.... vessel must meet the following subdivision and damage stability criteria after assuming side and bottom damages, as defined in appendix B of this part. A U.S. vessel that meets the requirements in this section... account sinkage, heel, and trim, must be below the lower edge of an opening through which progressive...
1 CFR 22.1 - Name of issuing agency and subdivision.
Code of Federal Regulations, 2014 CFR
2014-01-01
... 1 General Provisions 1 2014-01-01 2012-01-01 true Name of issuing agency and subdivision. 22.1 Section 22.1 General Provisions ADMINISTRATIVE COMMITTEE OF THE FEDERAL REGISTER PREPARATION, TRANSMITTAL, AND PROCESSING OF DOCUMENTS PREPARATION OF NOTICES AND PROPOSED RULES Notices § 22.1 Name of issuing...
1 CFR 22.1 - Name of issuing agency and subdivision.
Code of Federal Regulations, 2012 CFR
2012-01-01
... 1 General Provisions 1 2012-01-01 2012-01-01 false Name of issuing agency and subdivision. 22.1 Section 22.1 General Provisions ADMINISTRATIVE COMMITTEE OF THE FEDERAL REGISTER PREPARATION, TRANSMITTAL, AND PROCESSING OF DOCUMENTS PREPARATION OF NOTICES AND PROPOSED RULES Notices § 22.1 Name of issuing...
1 CFR 22.1 - Name of issuing agency and subdivision.
Code of Federal Regulations, 2013 CFR
2013-01-01
... 1 General Provisions 1 2013-01-01 2012-01-01 true Name of issuing agency and subdivision. 22.1 Section 22.1 General Provisions ADMINISTRATIVE COMMITTEE OF THE FEDERAL REGISTER PREPARATION, TRANSMITTAL, AND PROCESSING OF DOCUMENTS PREPARATION OF NOTICES AND PROPOSED RULES Notices § 22.1 Name of issuing...
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tadayyon, Ghazal, E-mail: Ghazal.tadayyon@gmail.co
The main objective of this work was to investigate the thermomechanical behavior and microstructural changes of a Ti-rich NiTi shape memory alloy (SMA). The microstructural and texture evolution of aged NiTi alloy at different degrees of deformation were elicited by transmission electron microscopy (TEM). An effort was made to correlate results obtained from the tensile test with results from microstructure studies. The undeformed sample reveals a self-accommodated morphology with straight and well defined twin boundaries. At different stages of deformation, diverse mechanisms were involved. These mechanisms include marstraining, detwinning accompanied by dislocation movement, and finally, severe plastic deformation, subdivision andmore » amorphization of the matrix. Under increasing strains, high density lattice defects were generated and the morphology of B19’ became disordered. - Graphical abstract: The summary of microstructure changes of the martensite twins during tensile deformation in polycrystalline NiTi SMAs. - Highlights: • Initial elastic response, dislocation avalanche and deformation bands were studied. • < 011 > Type II twin accompanied by detwinned area after 2% cold work was observed. • Visible parallel fine stacking faults showed plastic flow of the material. • At higher strains, subgrains changed to recrystallized, finely amorphous structure.« less
30 CFR 519.411 - What definitions apply to this subpart?
Code of Federal Regulations, 2012 CFR
2012-07-01
... political subdivision means a political subdivision of a Gulf producing State any part of which political... 1972 (16 U.S.C. 1453)) of the Gulf producing State as of December 20, 2006; and (2) Not more than 200..., dated February 2006. Gulf producing State means each of the States of Alabama, Louisiana, Mississippi...
30 CFR 219.411 - What definitions apply to this subpart?
Code of Federal Regulations, 2011 CFR
2011-07-01
... February 2006. Coastal political subdivision means a political subdivision of a Gulf producing State any... Coastal Zone Management Act of 1972 (16 U.S.C. 1453)) of the Gulf producing State as of December 20, 2006... Program 2007-2012, dated February 2006. Gulf producing State means each of the States of Alabama...
30 CFR 519.411 - What definitions apply to this subpart?
Code of Federal Regulations, 2013 CFR
2013-07-01
... political subdivision means a political subdivision of a Gulf producing State any part of which political... 1972 (16 U.S.C. 1453)) of the Gulf producing State as of December 20, 2006; and (2) Not more than 200..., dated February 2006. Gulf producing State means each of the States of Alabama, Louisiana, Mississippi...
30 CFR 519.411 - What definitions apply to this subpart?
Code of Federal Regulations, 2014 CFR
2014-07-01
... political subdivision means a political subdivision of a Gulf producing State any part of which political... 1972 (16 U.S.C. 1453)) of the Gulf producing State as of December 20, 2006; and (2) Not more than 200..., dated February 2006. Gulf producing State means each of the States of Alabama, Louisiana, Mississippi...
Code of Federal Regulations, 2013 CFR
2013-04-01
...), the District of Columbia, the Commonwealth of Puerto Rico, and United States territories, considered... States (and their political subdivisions), the District of Columbia, the Commonwealth of Puerto Rico, and.... The District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, and territories...
Code of Federal Regulations, 2012 CFR
2012-04-01
...), the District of Columbia, the Commonwealth of Puerto Rico, and United States territories, considered... States (and their political subdivisions), the District of Columbia, the Commonwealth of Puerto Rico, and.... The District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, and territories...
Code of Federal Regulations, 2011 CFR
2011-04-01
...), the District of Columbia, the Commonwealth of Puerto Rico, and United States territories, considered... States (and their political subdivisions), the District of Columbia, the Commonwealth of Puerto Rico, and.... The District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, and territories...
Code of Federal Regulations, 2014 CFR
2014-04-01
...), the District of Columbia, the Commonwealth of Puerto Rico, and United States territories, considered... States (and their political subdivisions), the District of Columbia, the Commonwealth of Puerto Rico, and.... The District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, and territories...
Code of Federal Regulations, 2010 CFR
2010-04-01
...), the District of Columbia, the Commonwealth of Puerto Rico, and United States territories, considered... States (and their political subdivisions), the District of Columbia, the Commonwealth of Puerto Rico, and.... The District of Columbia, the Commonwealth of Puerto Rico, Guam, the Virgin Islands, and territories...
A Critical Analysis of Football Bowl Subdivision Coaching Contract Components
ERIC Educational Resources Information Center
Nichols, Justin Keith
2012-01-01
This exploratory study is designed to inventory and analyze contract components used by Football Bowl Subdivision (FBS) institutions in the National Collegiate Athletic Association (NCAA) to further contribute to the body research. The FBS is comprised of 120 institutions and 94 of those institutions submitted contracts to "USA Today"…
78 FR 65762 - Union Pacific Railroad Company-Trackage Rights Exemption-CSX Transportation, Inc.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-11-01
... subject trackage at: (1) CSXT's connection with GTW at or near milepost 31.07 (Munster) on the Elsdon Subdivision in Munster, Ind.; (2) CSXT's northeast connection with UP at or near milepost 25.20 (Thornton Junction) on the Elsdon Subdivision in Thornton, Ill.; (3) CSXT's connection with Grand Trunk Western...
31 CFR 515.510 - Payments to the United States, States and political subdivisions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Payments to the United States, States and political subdivisions. 515.510 Section 515.510 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY CUBAN...
31 CFR 500.510 - Payments to the United States, States and political subdivisions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Payments to the United States, States and political subdivisions. 500.510 Section 500.510 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN ASSETS CONTROL, DEPARTMENT OF THE TREASURY FOREIGN...
Code of Federal Regulations, 2010 CFR
2010-04-01
... regulated by a governmental agency but which is not affiliated with or under the control of the developer... anticipated population of the subdivision or how many homes or connections it can and will serve and that the... supply of water to serve the anticipated population of the subdivision. (4) If the supplier of water is...
34 CFR 110.3 - What definitions apply?
Code of Federal Regulations, 2010 CFR
2010-07-01
..., rule, standard, or method of administration, or the use of any policy, rule, standard, or method of... necessarily imply a particular age or range of ages (e.g., “children,” “adult,” “older persons,” but not... State or its political subdivision, any instrumentality of a State or its political subdivision, any...
32 CFR 644.431 - Power transmission lines.
Code of Federal Regulations, 2010 CFR
2010-07-01
... 1944, as amended (50 U.S.C., App. 1622(d)), any state, or political subdivision thereof, or any state... transmission line and the right of way acquired for its construction is needed for or adaptable to the... in all cases. (b) Procedure. Whenever a State, or political subdivision thereof, or state or Federal...
20 CFR 416.1901 - Scope of subpart S.
Code of Federal Regulations, 2010 CFR
2010-04-01
... to the State (or a political subdivision of the State) as repayment for interim assistance it gave... you must have given written authorization for us to repay the State (or a political subdivision of the... State. (4) Appeals. Sections 416.1920 through 416.1922 describe your appeal rights in the State and in...
Code of Federal Regulations, 2011 CFR
2011-10-01
... for existing sailing school vessels. 173.055 Section 173.055 Shipping COAST GUARD, DEPARTMENT OF... § 173.055 Watertight subdivision and damage stability standards for existing sailing school vessels. (a) Except as provided in paragraph (c) of this section, an existing sailing school vessel which carries more...
Code of Federal Regulations, 2010 CFR
2010-10-01
... for existing sailing school vessels. 173.055 Section 173.055 Shipping COAST GUARD, DEPARTMENT OF... § 173.055 Watertight subdivision and damage stability standards for existing sailing school vessels. (a) Except as provided in paragraph (c) of this section, an existing sailing school vessel which carries more...
17. Dry Dock No. 4. Longitudinal Section. Subdivision V and ...
17. Dry Dock No. 4. Longitudinal Section. Subdivision V and Stair Details (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
16. Dry Dock No. 4. Longitudinal Section. Subdivision Nos. III ...
16. Dry Dock No. 4. Longitudinal Section. Subdivision Nos. III and IV (Frederic R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building no. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
78 FR 5195 - Filing of Plats of Survey: California
Federal Register 2010, 2011, 2012, 2013, 2014
2013-01-24
... sections accepted October 18, 2012. T. 18 N., R. 10 W., dependent resurvey and subdivision accepted... Meridian, California T. 11 N., R. 3 E., corrective dependent resurvey, resurvey and subdivision accepted November 27, 2012. T. 2 N., R. 2 and 3 W., dependent resurvey and metes-and-bounds survey accepted November...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2011 CFR
2011-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.6 Coverage under... subdivision approach. A political subdivision is covered if— (i) More than 5 percent of its voting age... which more than 5 percent of the voting age citizens are members of a single language minority and are...
28 CFR 55.6 - Coverage under section 203(c).
Code of Federal Regulations, 2010 CFR
2010-07-01
... THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.6 Coverage under... subdivision approach. A political subdivision is covered if— (i) More than 5 percent of its voting age... which more than 5 percent of the voting age citizens are members of a single language minority and are...
14. Dry Dock No. 4. Plan of subdivision V and ...
14. Dry Dock No. 4. Plan of subdivision V and Welding Set Platform Details (Frederick R. Harris, Inc., January 10, 1941). In Files of Cushman & Wakefield, Building No. 501, Philadelphia Naval Business Center. - Naval Base Philadelphia-Philadelphia Naval Shipyard, Dry Dock No. 4, Broad Street south of Government Avenue, Philadelphia, Philadelphia County, PA
20 CFR 665.330 - Are the NAFTA-TAA program requirements for rapid response also required activities?
Code of Federal Regulations, 2010 CFR
2010-04-01
... TRAINING ADMINISTRATION, DEPARTMENT OF LABOR STATEWIDE WORKFORCE INVESTMENT ACTIVITIES UNDER TITLE I OF THE... members of a group of workers (including those in any agricultural firm or subdivision of an agricultural... sales or production, or both, of such firm or subdivision have decreased absolutely; and (2) Imports...
49 CFR 172.822 - Limitation on actions by states, local governments, and Indian tribes.
Code of Federal Regulations, 2010 CFR
2010-10-01
... REGULATIONS HAZARDOUS MATERIALS TABLE, SPECIAL PROVISIONS, HAZARDOUS MATERIALS COMMUNICATIONS, EMERGENCY... state, political subdivision of a state, or an Indian tribe that designates, limits, or prohibits the use of a rail line (other than a rail line owned by a state, political subdivision of a state, or an...
Assessing background ground water chemistry beneath a new unsewered subdivision
Wilcox, J.D.; Bradbury, K.R.; Thomas, C.L.; Bahr, J.M.
2005-01-01
Previous site-specific studies designed to assess the impacts of unsewered subdivisions on ground water quality have relied on upgradient monitoring wells or very limited background data to characterize conditions prior to development. In this study, an extensive monitoring program was designed to document ground water conditions prior to construction of a rural subdivision in south-central Wisconsin. Previous agricultural land use has impacted ground water quality; concentrations of chloride, nitrate-nitrogen, and atrazine ranged from below the level of detection to 296 mg/L, 36 mg/L, and 0.8 ??g/L, respectively, and were highly variable from well to well and through time. Seasonal variations in recharge, surface topography, aquifer heterogeneities, surficial loading patterns, and well casing depth explain observed variations in ground water chemistry. This variability would not have been detected if background conditions were determined from only a few monitoring wells or inferred from wells located upgradient of the subdivision site. This project demonstrates the importance of characterizing both ground water quality and chemical variability prior to land-use change to detect any changes once homes are constructed. Copyright ?? 2005 National Ground Water Association.
NASA Astrophysics Data System (ADS)
Li, Sui-xian; Chen, Haiyang; Sun, Min; Cheng, Zaijun
2009-11-01
Aimed at improving the calculation accuracy when calculating the energy deposition of electrons traveling in solids, a method we call optimal subdivision number searching algorithm is proposed. When treating the energy deposition of electrons traveling in solids, large calculation errors are found, we are conscious of that it is the result of dividing and summing when calculating the integral. Based on the results of former research, we propose a further subdividing and summing method. For β particles with the energy in the entire spectrum span, the energy data is set only to be the integral multiple of keV, and the subdivision number is set to be from 1 to 30, then the energy deposition calculation error collections are obtained. Searching for the minimum error in the collections, we can obtain the corresponding energy and subdivision number pairs, as well as the optimal subdivision number. The method is carried out in four kinds of solid materials, Al, Si, Ni and Au to calculate energy deposition. The result shows that the calculation error is reduced by one order with the improved algorithm.
Comparative analysis of nitrifying bacteria associated with freshwater and marine aquaria.
Hovanec, T A; DeLong, E F
1996-01-01
Three nucleic acid probes, two for autotrophic ammonia-oxidizing bacteria of the beta subdivision of the class Proteobacteria and one for alpha subdivision nitrite-oxidizing bacteria, were developed and used to study nitrifying bacterial phylotypes associated with various freshwater and seawater aquarium biofilters. Nitrosomonas europaea and related species were detected in all nitrifying seawater systems and accounted for as much as 20% of the total eubacterial rRNA. In contrast, nitrifying bacteria belonging to the beta-proteobacterial subdivision were detected in only two samples from freshwater aquaria showing vigorous nitrification rates. rRNA originating from nitrite-oxidizing alpha subdivision proteobacteria was not detected in samples from either aquarium environment. The data obtained indicate that chemolithotrophic ammonia oxidation in the freshwater aquaria was not due to beta-proteobacterial phylotypes related to members of the genus Nitrosomonas and their close relatives, the organisms usually implicated in freshwater nitrification. It is likely that nitrification in natural environments is even more complex than nitrification in these simple systems and is less well characterized with regard to the microorganisms responsible. PMID:8702281
Wiech, K; Jbabdi, S; Lin, C S; Andersson, J; Tracey, I
2014-10-01
Functional neuroimaging studies suggest that the anterior, mid, and posterior division of the insula subserve different functions in the perception of pain. The anterior insula (AI) has predominantly been associated with cognitive-affective aspects of pain, while the mid and posterior divisions have been implicated in sensory-discriminative processing. We examined whether this functional segregation is paralleled by differences in (1) structural and (2) resting state connectivity and (3) in correlations with pain-relevant psychological traits. Analyses were restricted to the 3 insular subdivisions and other pain-related brain regions. Both type of analyses revealed largely overlapping results. The AI division was predominantly connected to the ventrolateral prefrontal cortex (structural and resting state connectivity) and orbitofrontal cortex (structural connectivity). In contrast, the posterior insula showed strong connections to the primary somatosensory cortex (SI; structural connectivity) and secondary somatosensory cortex (SII; structural and resting state connectivity). The mid insula displayed a hybrid connectivity pattern with strong connections with the ventrolateral prefrontal cortex, SII (structural and resting state connectivity) and SI (structural connectivity). Moreover, resting state connectivity revealed strong connectivity of all 3 subdivisions with the thalamus. On the behavioural level, AI structural connectivity was related to the individual degree of pain vigilance and awareness that showed a positive correlation with AI-amygdala connectivity and a negative correlation with AI-rostral anterior cingulate cortex connectivity. In sum, our findings show a differential structural and resting state connectivity for the anterior, mid, and posterior insula with other pain-relevant brain regions, which might at least partly explain their different functional profiles in pain processing. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Glennon, Michale J.; Kretser, Heidi E.; Hilty, Jodi A.
2015-02-01
We examined the impacts of exurban development on bird communities in Essex County, New York and Madison County, Montana by comparing differences in abundance of songbirds between subdivisions and control sites in both regions. We hypothesized that impacts to bird communities would be greater in the relatively homogeneous, closed canopy Adirondack forest of northern New York State than they would be in the more naturally heterogeneous grasslands interspersed with trees and shrubs of the Greater Yellowstone Ecosystem. We examined birds in five functional groups expected to be responsive to exurban development, and determined relative abundance within subdivisions and control sites across these two distinct regions. We found little support for our hypothesis. For birds in the area-sensitive, low nesting, and Neotropical migrant functional groups, relative abundance was lower in subdivisions in the Adirondacks and in Madison County, while relative abundance of edge specialists was greater in subdivisions in both regions. The direction and magnitude of change in the avian communities between subdivisions and controls was similar in both regions for all guilds except microhabitat specialists. These similarities across diverse ecosystems suggest that the ecological context of the encompassing region may be less important than other elements in shaping avian communities in exurban systems. This finding suggests that humans and their specific behaviors and activities in exurban areas may be underappreciated but potentially important drivers of change in these regions.
Geologic controls of subdivision damage near Denver, Colorado
Noe, D.C.
2005-01-01
This case study investigates the geologic controls on damaging ground deformations in a residential subdivision near Denver, Colo. Moderate to severe damage has occurred in certain areas where linear, parallel heave features with up to 0.3 in (1 ft) of differential displacement have formed across roads and under houses. Other areas have small, localized depressions that have formed in the roadsides with no discernable damage to nearby houses. Still other areas show no evidence of ground movements. The bedrock beneath the subdivision consists of steeply dipping Cretaceous strata of the Benton Shale, Niobrara Formation, and Pierre Shale. Quaternary soil deposits and fill, 0-16 m (0-53 ft) thick, overlie the bedrock. The most pronounced and damaging linear-heave features are coincident with steeply dipping, silty claystone with thin layers of very highly plastic bentonite. These heave features diminish as the depth to bedrock increases, and become small to negligible where the bedrock is overlain by 3 m (10 ft) or more of overburden soil deposits or fill. In contrast, areas having no visible damage and those having localized surface depressions are typically underlain by 1-12 m (3-39 ft) of alluvial-terrace deposits or fill. The depressions appear to have been caused by settlement over improperly filled water-and-sewer line trenches. The overall relationship between geology and ground deformations as seen in this subdivision may be useful for predicting, and thereby reducing, damage for future subdivision projects. Journal of Geotechnical and Geoenvironmental Engineering ?? ASCE.
NASA Astrophysics Data System (ADS)
Chen, Xiang; Zhang, Xiong; Jia, Zupeng
2017-06-01
The Multi-Material Arbitrary Lagrangian Eulerian (MMALE) method is an effective way to simulate the multi-material flow with severe surface deformation. Comparing with the traditional Arbitrary Lagrangian Eulerian (ALE) method, the MMALE method allows for multiple materials in a single cell which overcomes the difficulties in grid refinement process. In recent decades, many researches have been conducted for the Lagrangian, rezoning and surface reconstruction phases, but less attention has been paid to the multi-material remapping phase especially for the three-dimensional problems due to two complex geometric problems: the polyhedron subdivision and the polyhedron intersection. In this paper, we propose a ;Clipping and Projecting; algorithm for polyhedron intersection whose basic idea comes from the commonly used method by Grandy (1999) [29] and Jia et al. (2013) [34]. Our new algorithm solves the geometric problem by an incremental modification of the topology based on segment-plane intersections. A comparison with Jia et al. (2013) [34] shows our new method improves the efficiency by 55% to 65% when calculating polyhedron intersections. Moreover, the instability caused by the geometric degeneracy can be thoroughly avoided because the geometry integrity is preserved in the new algorithm. We also focus on the polyhedron subdivision process and describe an algorithm which could automatically and precisely tackle the various situations including convex, non-convex and multiple subdivisions. Numerical studies indicate that by using our polyhedron subdivision and intersection algorithm, the volume conversation of the remapping phase can be exactly preserved in the MMALE simulation.
Crawford, M H; Reddy, B M; Martinez-Laso, J; Mack, S J; Erlich, H A
2001-09-01
The HLA allele frequency distributions have been characterized for the HLA class I and class II loci of the Golla pastoral caste, from Southeast India, subdivided into the subcastes (Puja, Punugu, Kurava, Pokanati, Karnam, and Doddi). Genetic distances, neighbor-joining, correspondence, and haplotype analyses all indicate that the subcastes exhibit a high haplotype variability and that their genetic substratum may be the result of European-Middle East/Asian admixture with the autochthonous populations. The Karnam subcaste seems to be the one that has undergone a higher degree of admixture, when compared with the other subcastes. The Golla speak an old Indian Dravidian language and should theoretically represent the basic Indian substratum that existed before the postulated "Aryan" invasion.
Jaratlerdsiri, Weerachai; Isberg, Sally R.; Higgins, Damien P.; Miles, Lee G.; Gongora, Jaime
2014-01-01
Major Histocompatibility Complex (MHC) class II genes encode for molecules that aid in the presentation of antigens to helper T cells. MHC characterisation within and between major vertebrate taxa has shed light on the evolutionary mechanisms shaping the diversity within this genomic region, though little characterisation has been performed within the Order Crocodylia. Here we investigate the extent and effect of selective pressures and trans-species polymorphism on MHC class II α and β evolution among 20 extant species of Crocodylia. Selection detection analyses showed that diversifying selection influenced MHC class II β diversity, whilst diversity within MHC class II α is the result of strong purifying selection. Comparison of translated sequences between species revealed the presence of twelve trans-species polymorphisms, some of which appear to be specific to the genera Crocodylus and Caiman. Phylogenetic reconstruction clustered MHC class II α sequences into two major clades representing the families Crocodilidae and Alligatoridae. However, no further subdivision within these clades was evident and, based on the observation that most MHC class II α sequences shared the same trans-species polymorphisms, it is possible that they correspond to the same gene lineage across species. In contrast, phylogenetic analyses of MHC class II β sequences showed a mixture of subclades containing sequences from Crocodilidae and/or Alligatoridae, illustrating orthologous relationships among those genes. Interestingly, two of the subclades containing sequences from both Crocodilidae and Alligatoridae shared specific trans-species polymorphisms, suggesting that they may belong to ancient lineages pre-dating the divergence of these two families from the common ancestor 85–90 million years ago. The results presented herein provide an immunogenetic resource that may be used to further assess MHC diversity and functionality in Crocodylia. PMID:24503938
NASA Astrophysics Data System (ADS)
Phillips, Carolyn L.; Anderson, Joshua A.; Huber, Greg; Glotzer, Sharon C.
2012-05-01
We present filling as a type of spatial subdivision problem similar to covering and packing. Filling addresses the optimal placement of overlapping objects lying entirely inside an arbitrary shape so as to cover the most interior volume. In n-dimensional space, if the objects are polydisperse n-balls, we show that solutions correspond to sets of maximal n-balls. For polygons, we provide a heuristic for finding solutions of maximal disks. We consider the properties of ideal distributions of N disks as N→∞. We note an analogy with energy landscapes.
1993-04-01
suggesting it occurs in later visual motion processing (long-range or second-order system). STIMULUS PERCEPT L" FLASH DURATION FLASH DURATION (a) TIME ( b ...TIME Figure 2. Gamma motion. (a) A light of fixed spatial extent is illuminated then extim- guished. ( b ) The percept is of a light expanding and then...while smaller, type- B cells provide input to its parvocellular subdivision. From here the magnocellular pathway progresses up through visual cortex area V
NASA Technical Reports Server (NTRS)
Ninet, J.
1981-01-01
Basic orientation of the article, by the leader of a group of medical researchers associated with hospitals in Lyon, France, is toward definition and classification. A table divides OH (orthostatic hypotension) according to physiopathological classification into sympathicotonic and asympathicotonic types and then each of these into primary and secondary with subdivisions. The figure sketches organization and functioning of the baroreflex arc. Applications to clinical study of circulatory reflexes, listing measurement tests and the biological study of hormonal regulation listing the appropriate kinds of studies. Data are not given.
Extended Truncated Hierarchical Catmull-Clark Subdivision
2015-05-08
REPORT DATE (DD-MM-YYYY) 2. REPORT TYPE 3. DATES COVERED (From - To) 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM...14-1-0234 and NSF CAREER Award OCI-1149591. T. J. R. Hughes was supported in part by grants ONR (N00014-08-1-0992) and SINTEF (UTA10- 000374). Appendix...analysis-suitable T-splines. Computer Methods in Applied Mechanics and Engineering, 213-216:206–222, 2012. [22] T. W. Sederberg, D. L. Cardon , G. T
Vicario, Alba; Abellán, Antonio; Desfilis, Ester; Medina, Loreta
2014-01-01
In mammals, the central extended amygdala shows a highly complex organization, and is essential for animal survival due to its implication in fear responses. However, many aspects of its evolution are still unknown, and this structure is especially poorly understood in birds. The aim of this study was to define the central extended amygdala in chicken, by means of a battery of region-specific transcription factors (Pax6, Islet1, Nkx2.1) and phenotypic markers that characterize these different subdivisions in mammals. Our results allowed the identification of at least six distinct subdivisions in the lateral part of the avian central extended amygdala: (1) capsular central subdivision; (2) a group of intercalated-like cell patches; (3) oval central nucleus; (4) peri-intrapeduncular (peri-INP) island field; (5) perioval zone; and (6) a rostral part of the subpallial extended amygdala. In addition, we identified three subdivisions of the laterodorsal bed nucleus of the stria terminalis (BSTLd) belonging to the medial region of the chicken central extended amygdala complex. Based on their genetic profile, cellular composition and apparent embryonic origin of the cells, we discuss the similarity of these different subdivisions of chicken with different parts of the mouse central amygdala and surrounding cell masses, including the intercalated amygdalar masses and the sublenticular part of the central extended amygdala. Most of the subdivisions include various subpopulations of cells that apparently originate in the dorsal striatal, ventral striatal, pallidal, and preoptic embryonic domains, reaching their final location by either radial or tangential migrations. Similarly to mammals, the central amygdala and BSTLd of chicken project to the hypothalamus, and include different neurons expressing proenkephalin, corticotropin-releasing factor, somatostatin or tyrosine hydroxylase, which may be involved in the control of different aspects of fear/anxiety-related behavior. PMID:25309337
Dai, Yu-Jie; Zhang, Xin; Yang, Yang; Nan, Hai-Yan; Yu, Ying; Sun, Qian; Yan, Lin-Feng; Hu, Bo; Zhang, Jin; Qiu, Zi-Yu; Gao, Yi; Cui, Guang-Bin; Chen, Bi-Liang; Wang, Wen
2018-03-14
The incidence of pain disorders in women is higher than in men, making gender differences in pain a research focus. The human insular cortex is an important brain hub structure for pain processing and is divided into several subdivisions, serving different functions in pain perception. Here we aimed to examine the gender differences of the functional connectivities (FCs) between the twelve insular subdivisions and selected pain-related brain structures in healthy adults. Twenty-six healthy males and 11 age-matched healthy females were recruited in this cross-sectional study. FCs between the 12 insular subdivisions (as 12 regions of interest (ROIs)) and the whole brain (ROI-whole brain level) or 64 selected pain-related brain regions (64 ROIs, ROI-ROI level) were measured between the males and females. Significant gender differences in the FCs of the insular subdivisions were revealed: (1) The FCs between the dorsal dysgranular insula (dId) and other brain regions were significantly increased in males using two different techniques (ROI-whole brain and ROI-ROI analyses); (2) Based on the ROI-whole brain analysis, the FC increases in 4 FC-pairs were observed in males, including the left dId - the right median cingulate and paracingulate/ right posterior cingulate gyrus/ right precuneus, the left dId - the right median cingulate and paracingulate, the left dId - the left angular as well as the left dId - the left middle frontal gyrus; (3) According to the ROI-ROI analysis, increased FC between the left dId and the right rostral anterior cingulate cortex was investigated in males. In summary, the gender differences in the FCs of the insular subdivisions with pain-related brain regions were revealed in the current study, offering neuroimaging evidence for gender differences in pain processing. ClinicalTrials.gov, NCT02820974 . Registered 28 June 2016.
The Soil Series in Soil Classifications of the United States
NASA Astrophysics Data System (ADS)
Indorante, Samuel; Beaudette, Dylan; Brevik, Eric C.
2014-05-01
Organized national soil survey began in the United States in 1899, with soil types as the units being mapped. The soil series concept was introduced into the U.S. soil survey in 1903 as a way to relate soils being mapped in one area to the soils of other areas. The original concept of a soil series was all soil types formed in the same parent materials that were of the same geologic age. However, within about 15 years soil series became the primary units being mapped in U.S. soil survey. Soil types became subdivisions of soil series, with the subdivisions based on changes in texture. As the soil series became the primary mapping unit the concept of what a soil series was also changed. Instead of being based on parent materials and geologic age, the soil series of the 1920s was based on the morphology and composition of the soil profile. Another major change in the concept of soil series occurred when U.S. Soil Taxonomy was released in 1975. Under Soil Taxonomy, the soil series subdivisions were based on the uses the soils might be put to, particularly their agricultural uses (Simonson, 1997). While the concept of the soil series has changed over the years, the term soil series has been the longest-lived term in U.S. soil classification. It has appeared in every official classification system used by the U.S. soil survey (Brevik and Hartemink, 2013). The first classification system was put together by Milton Whitney in 1909 and had soil series at its second lowest level, with soil type at the lowest level. The second classification system used by the U.S. soil survey was developed by C.F. Marbut, H.H. Bennett, J.E. Lapham, and M.H. Lapham in 1913. It had soil series at the second highest level, with soil classes and soil types at more detailed levels. This was followed by another system in 1938 developed by M. Baldwin, C.E. Kellogg, and J. Thorp. In this system soil series were again at the second lowest level with soil types at the lowest level. The soil type concept was dropped and replaced by the soil phase in the 1950s in a modification of the 1938 Baldwin et al. classification (Simonson, 1997). When Soil Taxonomy was released in 1975, soil series became the most detailed (lowest) level of the classification system, and the only term maintained throughout all U.S. classifications to date. While the number of recognized soil series have increased steadily throughout the history of U.S. soil survey, there was a rapid increase in the recognition of new soil series following the introduction of Soil Taxonomy (Brevik and Hartemink, 2013). References Brevik, E.C., and A.E. Hartemink. 2013. Soil maps of the United States of America. Soil Science Society of America Journal 77:1117-1132. doi:10.2136/sssaj2012.0390. Simonson, R.W. 1997. Evolution of soil series and type concepts in the United States. Advances in Geoecology 29:79-108.
Xie, J; Kuenzel, W J; Sharp, P J; Jurkevich, A
2011-03-01
Some components of male sexual and agonistic behaviours are considered to be regulated by the same neurocircuitry in the medial preoptic nucleus (POM) and the medial portion of bed nucleus of the stria terminalis (BSTM). To better understand this neurocircuitry, numbers of aromatase- (ARO) or arginine vasotocin- (AVT) immunoreactive (ir) neurones expressing immediate early gene protein FOS were compared in the POM and BSTM of male chickens following sexual or agonistic behaviours. Observations were made on males showing: (i) appetitive (courtship) and consummatory (copulation) sexual behaviours; (ii) only appetitive sexual behaviour, or (iii) displaying agonistic behaviour toward other males. Control males were placed on their own in the observation pen, or only handled. In the POM, appetitive sexual behaviour increased ARO+FOS colocalisation, whereas agonistic behaviour decreased the number of visible ARO-ir cells. In the dorsolateral subdivision of BSTM (BSTM1), appetitive sexual behaviour also increased ARO+FOS colocalisation, although the numbers of visible ARO-ir and AVT-ir cells were not altered by sexual or agonistic behaviours. In the ventromedial BSTM (BSTM2), appetitive sexual behaviour increased ARO+FOS and AVT+FOS colocalisation, and all behaviours decreased the number of visible ARO-ir cells, particularly in males expressing consummatory sexual behaviour. Positive correlations were found between numbers of cells with ARO+FOS and AVT+FOS colocalisation in both subdivisions of the BSTM. Waltzing frequency was positively correlated with ARO+FOS colocalisation in the lateral POM, and in both subdivisions of the BSTM in males expressing sexual behaviour. Waltzing frequency in males expressing agonistic behaviour was negatively correlated with the total number of visible ARO-ir cells in the lateral POM and BSTM2. These observations suggest a key role for ARO and AVT neurones in BSTM2 in the expression of appetitive sexual behaviour, and differential roles for ARO cells in the POM and BSTM in the regulation of components of sexual and agonistic behaviours. © 2011 The Authors. Journal of Neuroendocrinology © 2011 Blackwell Publishing Ltd.
Code of Federal Regulations, 2012 CFR
2012-07-01
... Gulf producing States share in the qualified OCS revenues? 519.413 Section 519.413 Mineral Resources... coastal political subdivisions of Gulf producing States share in the qualified OCS revenues? Of the revenues allocated to a Gulf producing State, 20 percent will be distributed to the coastal political...
Code of Federal Regulations, 2014 CFR
2014-07-01
... Gulf producing States share in the qualified OCS revenues? 519.413 Section 519.413 Mineral Resources... coastal political subdivisions of Gulf producing States share in the qualified OCS revenues? Of the revenues allocated to a Gulf producing State, 20 percent will be distributed to the coastal political...
Code of Federal Regulations, 2013 CFR
2013-07-01
... Gulf producing States share in the qualified OCS revenues? 519.413 Section 519.413 Mineral Resources... coastal political subdivisions of Gulf producing States share in the qualified OCS revenues? Of the revenues allocated to a Gulf producing State, 20 percent will be distributed to the coastal political...
USDA-ARS?s Scientific Manuscript database
Fusarium graminearum, the causal agent of Fusarium head blight (FHB) in wheat and barley, is one of the most economically destructive pathogens of these grains worldwide. Recent population genetic studies of the pathogen obtained from wheat in North America supported population subdivision in part c...
ERIC Educational Resources Information Center
Jones, Willis A.
2014-01-01
In recent years, a number of colleges and universities have made the decision to pursue membership in the NCAA's Football Bowl Subdivision (FBS) with the idea that participating in higher profile intercollegiate football can help attract students to their institution. This belief, however, has not been empirically examined. Using…
78 FR 53766 - Agency Information Collection Activities: Submission for OMB Review; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-30
... did not have the premium paid for by a state, a political subdivision of a state, or an agency or instrumentality of one or more states or political subdivisions) may have the Part A premium reduced to zero... in Medicaid & Children's Health Insurance Program (CHIP); Use: The Improper Payments Information Act...
1990-01-01
7 Figure 4. Excerpt from Springbett and Pilie’s 1839 map of New Orleans showing Destrehan property and Cosmopolite City subdivision...Figure 4. Excerpt from Springbett and Pille’s 1839 map of New Orleans showing Destrehan property and Cosmopolite City subdivision (Louisiana
Effects of subdivision and access restrictions on private land recreation opportunities
H. Ken Cordell; Donald B.K. English; Sharon A. Randall
1993-01-01
Continuing conversion of woodlands, greater restrictions on recreational access, and subdivision are trends seeming to have important implicaitons for future public recreation supply. The nature of these implicaitons has not been adequately explored in previous research, a void that has led to questions about the actual effects these factors have on future recreational...
Code of Federal Regulations, 2011 CFR
2011-10-01
... for new sailing school vessels. 173.054 Section 173.054 Shipping COAST GUARD, DEPARTMENT OF HOMELAND....054 Watertight subdivision and damage stability standards for new sailing school vessels. (a) Each new sailing school vessel which has a mean length greater than 75 feet (22.8 meters) or which carries more...
Code of Federal Regulations, 2010 CFR
2010-10-01
... for new sailing school vessels. 173.054 Section 173.054 Shipping COAST GUARD, DEPARTMENT OF HOMELAND....054 Watertight subdivision and damage stability standards for new sailing school vessels. (a) Each new sailing school vessel which has a mean length greater than 75 feet (22.8 meters) or which carries more...
Valley segments, stream reaches, and channel units [Chapter 2
Peter A. Bisson; David R. Montgomery; John M. Buffington
2006-01-01
Valley segments, stream reaches, and channel units are three hierarchically nested subdivisions of the drainage network (Frissell et al. 1986), falling in size between landscapes and watersheds (see Chapter 1) and individual point measurements made along the stream network (Table 2.1; also see Chapters 3 and 4). These three subdivisions compose the habitat for large,...
This report documents the activities performed and the results obtained from the arsenic removal treatment technology demonstration project at the Geneseo Hills Subdivision in Geneseo, IL. The main objective of the project was to evaluate the effectiveness of AdEdge Technologies...
Theatre for Change: An Analysis of Two Performances by Women in Mundemba Sub-Division.
ERIC Educational Resources Information Center
Tanyi-Tang, Anne
2001-01-01
Contends that theatre has the power to induce oppressors to change their attitudes permanently towards the groups they oppress. Describes theatrical performances by women in Mundemba Sub-Division, Cameroon, which created lasting changes in men's attitudes. Concludes that theatre calls for sociocultural and economic changes and it has the power to…
78 FR 28621 - Filing of Plats of Survey: California
Federal Register 2010, 2011, 2012, 2013, 2014
2013-05-15
... Diablo Meridian, California T. 33 N., R. 10 W., supplemental plat of the S \\1/2\\ of section 18 accepted April 15, 2013. T. 26 N., R. 15 E., dependent resurvey and subdivision of section accepted April 16, 2013. T. 12 N., R. 18 E., dependent resurvey and subdivision of sections 12 and 13 accepted April 23...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-05-27
... Corporation d/b/a Canadian Pacific (CP) will agree to grant overhead trackage rights to Iowa Northern Railway..., and milepost 116.70 at the connection with CP's Mason City Subdivision, a distance of approximately 20.80 miles; (2) milepost 116.70 at the connection with CP's Mason City Subdivision and milepost 107.30...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-06-03
... written trackage rights agreement, Montreal, Maine & Atlantic Railway, Ltd. (MMA) has agreed to grant... milepost 260 on MMA's Madawaska Subdivision) and the connection to the Canadian National Railway (CN) in St... ``* * * between MP 260 and the connection with MMA's Van Buren Subdivision at MP 264 and between the connection...
Resident perspectives of the open space conservation subdivision in Hamburg Township, Michigan
Maureen E. Austin
2004-01-01
The open space conservation subdivision (R.G. Arendt, 1996) has been presented as an alternative to conventional large lot residential development. A form of clustering, this planning approach emphasizes the quality as well as the quantity of land preserved. The format offers a means for local planning officials to accommodate residential growth while preserving...
Wu, Yupeng; Sun, Dandan; Wang, Yong; Wang, Yibao; Ou, Shaowu
2016-01-01
The cingulum bundle (CB) is a critical white matter fiber tract in the brain, which forms connections between the frontal lobe, parietal lobe and temporal lobe. In non-human primates, the CB is actually divided into distinct subcomponents on the basis of corticocortical connections. However, at present, no study has verified similar distinct subdivisions in the human brain. In this study, we reconstructed these distinct subdivisions in the human brain, and determined their exact cortical connections using high definition fiber tracking (HDFT) technique on 10 healthy adults and a 488-subject template from the Human Connectome Project (HCP-488). Fiber dissections were performed to verify tractography results. Five CB segments were identified. CB-I ran from the subrostral areas to the precuneus and splenium, encircling the corpus callosum (CC). CB-II arched around the splenium and extended anteriorly above the CC to the medial aspect of the superior frontal gyrus (SFG). CB-III connected the superior parietal lobule (SPL) and precuneus with the medial aspect of the SFG. CB-IV was a relatively minor subcomponent from the SPL and precuneus to the frontal region. CB-V, the para-hippocampal cingulum, stemmed from the medial temporal lobe and fanned out to the occipital lobes. Our findings not only provide a more accurate and detailed description on the associated architecture of the subcomponents within the CB, but also offer new insights into the functional role of the CB in the human brain.
Code of Federal Regulations, 2011 CFR
2011-07-01
... Gulf producing States share in the qualified OCS revenues? 219.413 Section 219.413 Mineral Resources... § 219.413 How will the coastal political subdivisions of Gulf producing States share in the qualified OCS revenues? Of the revenues allocated to a Gulf producing State, 20 percent will be distributed to...
Code of Federal Regulations, 2010 CFR
2010-07-01
... 30 Mineral Resources 2 2010-07-01 2010-07-01 false When will funds be disbursed to Gulf producing States and eligible coastal political subdivisions? 219.418 Section 219.418 Mineral Resources MINERALS... ROYALTIES, RENTALS, AND BONUSES Oil and Gas, Offshore § 219.418 When will funds be disbursed to Gulf...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-29
... subdivision thereof, or options or other derivatives on any of the foregoing; or (b) interest rate futures or... subdivision thereof, or options or other derivatives on any of the foregoing; or (b) interest rate futures or... (multiple or inverse) performance of an index or indexes of futures contracts or options or derivatives on...
Jody M. Tucker; Michael K. Schwartz; Richard L. Truex; Samantha M. Wisely; Fred W. Allendorf
2014-01-01
The small population of fisher (Pekania pennanti) in the southern Sierra Nevada is completely geographically and genetically isolated putting it at increased risk of extinction. Previous research using a clustered sampling scheme found a high amount of genetic subdivision within the southern Sierra Nevada population hypothesized to be caused by the Kings River Canyon....
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-07
... Subdivision of Zambon Company, SPA Including On-Site Leased Workers of Turner Industries and Go Johnson, La..., including on-site leased workers from Turner Industries and Go Johnson, La Porte, Texas. The Department's..., including on-site leased workers of Turner Industries and Go Johnson, La Porte, Texas, who became totally or...
Minnesota State Teacher Development, Evaluation, and Peer Support Model Evaluation Report
ERIC Educational Resources Information Center
Dretzke, Beverly; Ingram, Debra; Peterson, Kristin; Sheldon, Timothy; Wahlstrom, Kyla; Baker, Julia; Crampton, Anne; Farnsworth, Elyse; Lim, Alicia Zhi Hoon; Yap, Shannen
2015-01-01
Minnesota Statutes 122A.40, Subdivision 8 and 122A.41, Subdivision 5, require that all districts evaluate teachers beginning in the 2014-2015 school year. In response to the statutes, the Minnesota Department of Education (MDE) convened a work group in early winter 2011 to consult with the MDE Commissioner to develop a state model for teacher…
Code of Federal Regulations, 2011 CFR
2011-04-01
... 17 Commodity and Securities Exchanges 3 2011-04-01 2011-04-01 false Form 18-K, annual report for... of 1934 § 249.318 Form 18-K, annual report for foreign governments and political subdivisions thereof.... [47 FR 54790, Dec. 6, 1982] Editorial Note: For Federal Register citations affecting Form 18-K, see...
Code of Federal Regulations, 2012 CFR
2012-04-01
... 17 Commodity and Securities Exchanges 3 2012-04-01 2012-04-01 false Form 18-K, annual report for... of 1934 § 249.318 Form 18-K, annual report for foreign governments and political subdivisions thereof.... [47 FR 54790, Dec. 6, 1982] Editorial Note: For Federal Register citations affecting Form 18-K, see...
Federal Register 2010, 2011, 2012, 2013, 2014
2011-07-29
... accordance with Section 223 of the Trade Act of 1974, as amended (19 U.S.C. 2273) the Department of Labor... sales or production, or both, of such firm or subdivision have decreased absolutely; and C. Increased... subdivision; and C. One of the following must be satisfied: 1. The country to which the workers' firm has...
78 FR 77789 - Petition for Waiver of Compliance
Federal Register 2010, 2011, 2012, 2013, 2014
2013-12-24
... Subdivision, from Control Point (CP) Y901 and Kedzie may be made in accordance with signal indication and at... and from the CP Y901 with the ATC cut out and back-up moves; or, With the ATC cut out due to failure. 2. Operations on the Chicago Service Unit, Geneva Subdivision, from Kedzie and Park CP Y015, engines...
Federal Register 2010, 2011, 2012, 2013, 2014
2010-12-29
...) on the Chicago Division near Gary, Indiana. The proposed discontinuance is from control point (CP) Kirk Yard Junction to, but not including, CP Stockton 2 on the Matteson Subdivision Main 1 and Main 2; and from CP Kirk Yard Junction to, but not including, Stockton 1 on the Lake Front Subdivision Main...
Göçmen, Z Aslıgül
2014-11-01
Insight into land developers' perspectives on alternative residential developments and the barriers they experience in trying to develop them can be crucial in efforts to change environmentally damaging low-density, large-lot, and automobile-dependent residential patterns. Using a semi-structured interview instrument followed by short surveys, I examined the views of 16 developers in Waukesha County, WI, USA, a county that has experienced significant development pressures and widespread implementation of conservation subdivision design. The land developer investigation focused on conservation subdivision design familiarity and implementation, and identified a number of barriers that developers experienced in implementing the design. While the majority of the developers appeared familiar with the design and had experience developing conservation subdivisions, their motivations for developing them varied, as did their on-site conservation practices. The barriers included the lack of land use regulations supporting the design, economic factors, community opposition, and a lack of knowledge about sustainable residential development practices. Strategies to promote more environmentally sustainable residential land development patterns include providing a more supportive institutional environment, enacting different regulations and guidelines for natural resources protection, and offering education on ecologically sound development and planning practices.
NASA Astrophysics Data System (ADS)
Göçmen, Z. Aslıgül
2014-11-01
Insight into land developers' perspectives on alternative residential developments and the barriers they experience in trying to develop them can be crucial in efforts to change environmentally damaging low-density, large-lot, and automobile-dependent residential patterns. Using a semi-structured interview instrument followed by short surveys, I examined the views of 16 developers in Waukesha County, WI, USA, a county that has experienced significant development pressures and widespread implementation of conservation subdivision design. The land developer investigation focused on conservation subdivision design familiarity and implementation, and identified a number of barriers that developers experienced in implementing the design. While the majority of the developers appeared familiar with the design and had experience developing conservation subdivisions, their motivations for developing them varied, as did their on-site conservation practices. The barriers included the lack of land use regulations supporting the design, economic factors, community opposition, and a lack of knowledge about sustainable residential development practices. Strategies to promote more environmentally sustainable residential land development patterns include providing a more supportive institutional environment, enacting different regulations and guidelines for natural resources protection, and offering education on ecologically sound development and planning practices.
Long-term proliferation and safeguards issues in future technologies
DOE Office of Scientific and Technical Information (OSTI.GOV)
Keisch, B.; Auerbach, C.; Fainberg, A.
1986-02-01
The purpose of the task was to assess the effect of potential new technologies, nuclear and non-nuclear, on safeguards needs and non-proliferation policies, and to explore possible solutions to some of the problems envisaged. Eight subdivisions were considered: New Enrichment Technologies; Non-Aqueous Reprocessing Technologies; Fusion; Accelerator-Driven Reactor Systems; New Reactor Types; Heavy Water and Deuterium; Long-Term Storage of Spent Fuel; and Other Future Technologies (Non-Nuclear). For each of these subdivisions, a careful review of the current world-wide effort in the field provided a means of subjectively estimating the viability and qualitative probability of fruition of promising technologies. Technologies for whichmore » safeguards and non-proliferation requirements have been thoroughly considered by others were not restudied here (e.g., the Fast Breeder Reactor). The time scale considered was 5 to 40 years for possible initial demonstration although, in some cases, a somewhat optimistic viewpoint was embraced. Conventional nuclear-material safeguards are only part of the overall non-proliferation regime. Other aspects are international agreements, export controls on sensitive technologies, classification of information, intelligence gathering, and diplomatic initiatives. The focus here is on safeguards, export controls, and classification.« less
An anatomically comprehensive atlas of the adult human brain transcriptome
Guillozet-Bongaarts, Angela L.; Shen, Elaine H.; Ng, Lydia; Miller, Jeremy A.; van de Lagemaat, Louie N.; Smith, Kimberly A.; Ebbert, Amanda; Riley, Zackery L.; Abajian, Chris; Beckmann, Christian F.; Bernard, Amy; Bertagnolli, Darren; Boe, Andrew F.; Cartagena, Preston M.; Chakravarty, M. Mallar; Chapin, Mike; Chong, Jimmy; Dalley, Rachel A.; David Daly, Barry; Dang, Chinh; Datta, Suvro; Dee, Nick; Dolbeare, Tim A.; Faber, Vance; Feng, David; Fowler, David R.; Goldy, Jeff; Gregor, Benjamin W.; Haradon, Zeb; Haynor, David R.; Hohmann, John G.; Horvath, Steve; Howard, Robert E.; Jeromin, Andreas; Jochim, Jayson M.; Kinnunen, Marty; Lau, Christopher; Lazarz, Evan T.; Lee, Changkyu; Lemon, Tracy A.; Li, Ling; Li, Yang; Morris, John A.; Overly, Caroline C.; Parker, Patrick D.; Parry, Sheana E.; Reding, Melissa; Royall, Joshua J.; Schulkin, Jay; Sequeira, Pedro Adolfo; Slaughterbeck, Clifford R.; Smith, Simon C.; Sodt, Andy J.; Sunkin, Susan M.; Swanson, Beryl E.; Vawter, Marquis P.; Williams, Derric; Wohnoutka, Paul; Zielke, H. Ronald; Geschwind, Daniel H.; Hof, Patrick R.; Smith, Stephen M.; Koch, Christof; Grant, Seth G. N.; Jones, Allan R.
2014-01-01
Neuroanatomically precise, genome-wide maps of transcript distributions are critical resources to complement genomic sequence data and to correlate functional and genetic brain architecture. Here we describe the generation and analysis of a transcriptional atlas of the adult human brain, comprising extensive histological analysis and comprehensive microarray profiling of ~900 neuroanatomically precise subdivisions in two individuals. Transcriptional regulation varies enormously by anatomical location, with different regions and their constituent cell types displaying robust molecular signatures that are highly conserved between individuals. Analysis of differential gene expression and gene co-expression relationships demonstrates that brain-wide variation strongly reflects the distributions of major cell classes such as neurons, oligodendrocytes, astrocytes and microglia. Local neighbourhood relationships between fine anatomical subdivisions are associated with discrete neuronal subtypes and genes involved with synaptic transmission. The neocortex displays a relatively homogeneous transcriptional pattern, but with distinct features associated selectively with primary sensorimotor cortices and with enriched frontal lobe expression. Notably, the spatial topography of the neocortex is strongly reflected in its molecular topography— the closer two cortical regions, the more similar their transcriptomes. This freely accessible online data resource forms a high-resolution transcriptional baseline for neurogenetic studies of normal and abnormal human brain function. PMID:22996553