A deskbook of style,

"5th edition."

Grunddragen af den svenska versläran.

Mode of access: Internet.

Bergshantering : kommerskollegii underdåniga beråttelse för år ...

Description based on: 1900.

A deskbook of style,

Mode of access: Internet.

Sveriges läkare-historia, ifrån konung Gustaf I:s till närvarande tid ... : nytt supplementhäfte ... /

Mode of access: Internet.

Unclean and spotted from the world.

Mode of access: Internet.

Billy Taylor, UM Football, receiving congratulations on sideline

{#99 is Thoms Beckman, partially hidden is Mike Keller)

School of Nursing Class of 2008

Top Row: Therese Adamowski, Anel Adamson, Michelle Ahleman, Brooke Babineau, Jennifer Ballough, Lisa Anne Beckman, Jennifer Bergeren, Tedra Boedigheimer, Mary Bonner, Genevieve Bott, Megan Bouwhuis, Mitchell Bradley, Rachel Brown, Katherine Bulson, Jennifer Calhoun, Carley Cebelak, Sarah Choinard

Row 2: Sarah Clevenger, Elizabeth Anne Conway, Erin Coughlin, Karie Curtis, Stephanie Curtis, Jodi Danhof, Rebecca Debri, Stacie Deleszek, Andrea Dehline, Amanda Devlin, Charlotte Dietrich, Angela Dodge, Elizabeth Dougherty, Ashley Doyle, Lindsay Driver, Nancy Duckworth, Kathy Dunnuck, Jennifer Dziadaio, Ellen English

Row 3: Kelly Esser, Amanda Fender, Lindsey Smith, Andrew Bradburn, Fallon Garfield Turner, Margaret Dembeck, Courtney Van Essen, Jessica paige Smith, Lauren Inouye, Jacqueline Dufek, Emily Klump, Amanda Jones, Tiffany Burrell, Deborah Mitchell, Emily Michel, Michelle Steen, Kirsten Thulin, Emily Hautamaki, Sheila Fender, Keith Ferguson

Row 4: Annie Fields, Jillian Fisher, Erin Flatley, Renee Forma, Aileen Franchi, Lindsey Freysinger, Sarah Fulgenzi, Beth Funnell, Andrea Galaviz, Lacey Garbo, Katherine Garcia, Lynn Garofalo

Row 5: Heather Gehrke, Nicole Genrich, Katie Giordano, Lindsey Glover, Andrea Godfrey, Jocelyn Gossman, Alana Greenberg, Julien Guttman, Sarah Halfmann, Kimberly Hanger, Allison Hanson, Stephanie Hecklin

Row 6: Geri Helminiak, Kristi Hershiser, Erin Hipp, Amanda Hoath, Tracy Hurlbutt, Nadya Indrei, Nisa Joorabchi, Katy Kerrigan, Layne Kiella, Jessica Kim, Samantha Klaiman, Jodi Knight, Laura Kovacic, Alicia Kreger

Row 7: Amanda Kretsch, Kimberly Kurzeja, Julie Lamonoff, Sarah Leirstein, Ashley Labb, Suzanne Loeb, Alessandra Lollini, Heather Loomis, Caroline Luke, Stephanie Maniquis, Elizabeth Mann, LaTasha Marable, Amanda McAdams, Mara McKinley

Row 8: Leah McLaughlin, Erin Migda, Scott Migut, Joane Nwoke, Lazarus Okammor, Brittany Pajewski, Judith Lynch-Sauer, Patricia Coleman-Burns, Bonnie Hagerty, Kathleen Potempa, Carol Loveland-Cherry, Carolyn Sampselle, Joanne Pohl, Sarah Pajtas, Maria Paneda, Jennifer Parker, Carol Peterson, Kimberley Peven, Rachel Poterek, Sarah Poucher

Row 9: Jannet Provost, Jessica Quigley, Nicole Rasmuson, Joanthan Reed, Sharon Reske, John Reves, Amy Riebe, Sara Riegner, Kelly Risicato, Christine Sabado, Stephanie Sargent, Jolene Schaefer, Erin Schroeder, Catherine Scott, Katherine See, Andrea Semaan, Jessica Shantz, Kathryn Sibbold, Kathleen Skendrovic, Aaron Smith, Elizabeth Stanton

Row 10: Mary Stewart, Ashley Strotbaum, Danielle Swartz, Janet Trost, Elizabeth Underwood, Lauren Underwood, Allison Vanhall, Brian Velker, Kristen Wells, Ryan Werblow, Jennifer Werden, David Westrin, Mallory Wiesen, Karen Wingrove, Amy Wright, Carrie Wright, Emily Wright, Minou Xie, Charles Zimmerman

UM Football, 1971 Seniors recruited by Bump Elliott, at Rose Bowl

Top Row: Tom Darden, Jim Brandstatter, Fred Grambau, Mike Oldham, Mike Taylor, Tom Beckman, Paul Seymour, Scott Hulke, Reggie McKenzie, Glenn Doughty, Butch Carpenter

Middle Row: Bruce Elliott, Dave Zucareli, Fritz Seyferth, Guy Murdock,

Front Row: Billy Taylor, Dana Coin, Bump Elliott, Mike Keller, Frank Gusich.

Congressional information processes for coordinating national policies /

"75-86 GGR."

Der Pfalzwein, unter Zuziehung eines vom Verein für Weinbau und Weinhandel der Rheinpfalz gewählten Ausschusses.

Mode of access: Internet.

Statistical analysis and optimal classification of blood cell populations using Gaussian distributions

This dissertation develops a new figure of merit to measure the similarity (or dissimilarity) of Gaussian distributions through a novel concept that relates the Fisher distance to the percentage of data overlap. The derivations are expanded to provide a generalized mathematical platform for determining an optimal separating boundary of Gaussian distributions in multiple dimensions. Real-world data used for implementation and in carrying out feasibility studies were provided by Beckman-Coulter. It is noted that although the data used is flow cytometric in nature, the mathematics are general in their derivation to include other types of data as long as their statistical behavior approximate Gaussian distributions. ^ Because this new figure of merit is heavily based on the statistical nature of the data, a new filtering technique is introduced to accommodate for the accumulation process involved with histogram data. When data is accumulated into a frequency histogram, the data is inherently smoothed in a linear fashion, since an averaging effect is taking place as the histogram is generated. This new filtering scheme addresses data that is accumulated in the uneven resolution of the channels of the frequency histogram. ^ The qualitative interpretation of flow cytometric data is currently a time consuming and imprecise method for evaluating histogram data. This method offers a broader spectrum of capabilities in the analysis of histograms, since the figure of merit derived in this dissertation integrates within its mathematics both a measure of similarity and the percentage of overlap between the distributions under analysis. ^

Multidimensional classification and diagnosis of leukemia in flow cytometry

This research is to establish new optimization methods for pattern recognition and classification of different white blood cells in actual patient data to enhance the process of diagnosis. Beckman-Coulter Corporation supplied flow cytometry data of numerous patients that are used as training sets to exploit the different physiological characteristics of the different samples provided. The methods of Support Vector Machines (SVM) and Artificial Neural Networks (ANN) were used as promising pattern classification techniques to identify different white blood cell samples and provide information to medical doctors in the form of diagnostic references for the specific disease states, leukemia. The obtained results prove that when a neural network classifier is well configured and trained with cross-validation, it can perform better than support vector classifiers alone for this type of data. Furthermore, a new unsupervised learning algorithm---Density based Adaptive Window Clustering algorithm (DAWC) was designed to process large volumes of data for finding location of high data cluster in real-time. It reduces the computational load to ∼O(N) number of computations, and thus making the algorithm more attractive and faster than current hierarchical algorithms.

Seawater carbonate chemistry and processes during experiments with phytoplankton Emiliania huxleyi (strain Bergen 2005), 2010

The response of the coccolithophore Emiliania huxleyi to rising CO2 concentrations is well documented for acclimated cultures where cells are exposed to the CO2 treatments for several generations prior to the experiment. The exact number of generations required for acclimation to CO2-induced changes in seawater carbonate chemistry, however, is unknown. Here we show that Emiliania huxleyi's short-term response (26 h) after cultures (grown at 500 µatm) were abruptly exposed to changed CO2 concentrations (~190, 410, 800 and 1500 ?atm) is similar to that obtained with acclimated cultures under comparable conditions in earlier studies. Most importantly, from the lower CO2 levels (190 and 410 ?atm) to 750 and 1500 µatm calcification decreased and organic carbon fixation increased within the first 8 to 14 h after exposing the cultures to changes in carbonate chemistry. This suggests that Emiliania huxleyi rapidly alters the rates of essential metabolical processes in response to changes in seawater carbonate chemistry, establishing a new physiological "state" (acclimation) within a matter of hours. If this relatively rapid response applies to other phytoplankton species, it may simplify interpretation of studies with natural communities (e.g. mesocosm studies and ship-board incubations), where often it is not feasible to allow for a pre-conditioning phase before starting experimental incubations.

Physical property data from loess at Rasova/Lower Danube

Physical propoerty data particularly of the frequency dependent magnetic susceptibility in depth and time show (semi)cyclic behaviour, which we ascribe to millennial scale climate variability also seen in the Black Sea region and large parts of the northern hemisphere.