South Dakota Farm & Home Research Index: 1978 - 1994

South Dakota Farm &Home Research Index 1978-1994 aids researchers, extension personnel, historians, librarians, and others in locating information about the research of the state\u27s Agricultural Experiment Station. It facilitates the identification of articles describing relevant research and researchers. South Dakota Farm & Home Research has been published by the Agricultural Experiment Station, South Dakota State University, Brookings, since 1949. The quarterly journal features brief reports on a wide variety of experiment station and university research activities focusing on agriculture and home economics. This index supplements the previous index to South Dakota Farm & Home Research, compiled by Leon Raney and Jane Kinch, which covers 1949 through 1977. It provides subject and author indexing of the contents of the journal from 1978 (volume 29, number 1) through 1994 (volume 45, number 3). All articles published in the journal during those years are indexed, resulting in approximately 1,900 subject and author index entries. All subject headings were assigned by the indexers. Although some title words may have been assigned as subject headings, this is not a title-keyword index. Approximately 450 subject headings appear in the index, including many cross-references, i.e., SEE and SEE ALSO references. Most articles are listed under more than one subject heading to facilitate access. The author index lists articles under the names of all authors or coauthors. Therefore, an article written by five coauthors, is listed in the author index under each of the five names. Articles which do not identify the author(s) are not listed in the author index

South Dakota Periodicals Index: 1987-1991

The South Dakota Periodicals Index 1987-1991 is a subject and author index to selected South Dakota periodicals and annuals published from 1987 through 1991. This multi-year cumulative edition continues indexing most of the publications covered by the previous cumulative edition and its annual supplements. In addition this cumulative edition includes indexing for 13 more periodicals than were covered by the 1982-1986 edition

South Dakota Periodicals Index: 1982-1986

The South Dakota Periodicals Index is a subject and author index to selected periodicals and annuals published in South Dakota. Its purpose is to facilitate the location of information about the people, places, events, and issues that make South Dakota a special place. As reference librarians at South Dakota State University we are aware of the difficulty of finding specific information about South Dakota. National periodical indexes provide very limited coverage of South Dakota, and it is not unusual to search through many different indexes without finding a single reference to the state

LC-MS/MS quantification of salvinorin A from biological fluids

A facile method for quantifying the concentration of the powerful and widely available hallucinogen salvinorin A (a selective kappa opioid agonist) from non-human primate cerebrospinal fluid (CSF) and human plasma has been developed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) in positive electrospray ionization (ESI) mode. With CSF solid phase extraction can be avoided completely by simply diluting each sample to 10 % (v/v) acetonitrile, 1 % (v/v) formic acid and injecting under high aqueous conditions for analyte focusing. Extensive plasma sample preparation was investigated including protein precipitation, SPE column selection, and plasma particulate removal. Human plasma samples were centrifuged at 21,000 × gravity for 4 minutes to obtain clear particulate-free plasma, from which 300 μl was spiked with internal standard and loaded onto a C18 SPE column with a 100 mg mL−1 loading capacity. Guard columns (C18, hand packed 1 mm × 20 mm) were exchanged after backpressure increased above 4600psi, about 250 injections. A shallow acetonitrile/water gradient was used, 29 to 33% CH3CN over 8 minutes to elute salvinorin A. Reduction of chemical noise was achieved using tandem mass spectrometry with multiple reaction monitoring while sensitivity increases were observed using a 50 μL injection volume onto a small bore analytical column (C18, 1 mm ID × 50 mm) thus increasing peak concentration. Limits of quantification were found to be 0.0125 ng mL−1 (CSF) and 0.05 ng mL−1 (plasma) with interday precision and accuracy below 1.7 % and 9.42 % (CSF) and 3.47 % and 12.37 % (plasma) respectively. This method was used to determine the concentration of salvinorin A from an in vivo Rhesus monkey study and a trial of healthy human research participants, using behaviorally active doses

The biology of color

Coloration mediates the relationship between an organism and its environment in important ways, including social signaling, antipredator defenses, parasitic exploitation, thermoregulation, and protection from ultraviolet light, microbes, and abrasion. Methodological breakthroughs are accelerating knowledge of the processes underlying both the production of animal coloration and its perception, experiments are advancing understanding of mechanism and function, and measurements of color collected noninvasively and at a global scale are opening windows to evolutionary dynamics more generally. Here we provide a roadmap of these advances and identify hitherto unrecognized challenges for this multi- and interdisciplinary field

The biology of color

Coloration mediates the relationship between an organism and its environment in important ways, including social signaling, antipredator defenses, parasitic exploitation, thermoregulation, and protection from ultraviolet light, microbes, and abrasion. Methodological breakthroughs are accelerating knowledge of the processes underlying both the production of animal coloration and its perception, experiments are advancing understanding of mechanism and function, and measurements of color collected noninvasively and at a global scale are opening windows to evolutionary dynamics more generally. Here we provide a roadmap of these advances and identify hitherto unrecognized challenges for this multi- and interdisciplinary field

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder