TY  - JOUR
A1  - Dornelas, Maria
A1  - Antão, Laura H.
A1  - Moyes, Faye
A1  - Bates, Amanda E.
A1  - Magurran, Anne E.
A1  - Adam, Dušan
A1  - Akhmetzhanova, Asem A.
A1  - Appeltans, Ward
A1  - Arcos, José Manuel
A1  - Arnold, Haley
A1  - Ayyappan, Narayanan
A1  - Badihi, Gal
A1  - Baird, Andrew H.
A1  - Barbosa, Miguel
A1  - Barreto, Tiago Egydio
A1  - Bässler, Claus
A1  - Bellgrove, Alecia
A1  - Belmaker, Jonathan
A1  - Benedetti-Cecchi, Lisandro
A1  - Bett, Brian J.
A1  - Bjorkman, Anne D.
A1  - Błażewicz, Magdalena
A1  - Blowes, Shane A.
A1  - Bloch, Christopher P. Bloch
A1  - Bonebrake, Timothy C.
A1  - Boyd, Susan
A1  - Bradford, Matt
A1  - Brooks, Andrew J.
A1  - Brown, James H.
A1  - Bruelheide, Helge
A1  - Budy, Phaedra
A1  - Carvalho, Fernando
A1  - Castañeda-Moya, Edward
A1  - Chen, Chaolun Allen
A1  - Chamblee, John F.
A1  - Chase, Tory J.
A1  - Siegwart Collier, Laura
A1  - Collinge, Sharon K.
A1  - Condit, Richard
A1  - Cooper, Elisabeth J.
A1  - Cornelissen, J. Hans C.
A1  - Cotano, Unai
A1  - Crow, Shannan Kyle
A1  - Damasceno, Gabriella
A1  - Davies, Claire H.
A1  - Davis, Robert A.
A1  - Day, Frank P.
A1  - Degraer, Steven
A1  - Doherty, Tim S.
A1  - Dunn, Timothy E.
A1  - Durigan, Giselda
A1  - Duffy, J. Emmett
A1  - Edelist, Dor
A1  - Edgar, Graham J.
A1  - Elahi, Robin
A1  - Elmendorf, Sarah C.
A1  - Enemar, Anders
A1  - Ernest, S. K. Morgan
A1  - Escribano, Rubén
A1  - Estiarte, Marc
A1  - Evans, Brian S.
A1  - Fan, Tung-Yung
A1  - Turini Farah, Fabiano
A1  - Loureiro Fernandes, Luiz
A1  - Farneda, Fábio Z.
A1  - Fidelis, Alessandra
A1  - Fitt, Robert
A1  - Fosaa, Anna Maria
A1  - Franco, Geraldo Antonio Daher Correa
A1  - Frank, Grace E.
A1  - Fraser, William R.
A1  - García, Hernando
A1  - Cazzolla Gatti, Roberto
A1  - Givan, Or
A1  - Gorgone-Barbosa, Elizabeth
A1  - Gould, William A.
A1  - Gries, Corinna
A1  - Grossman, Gary D.
A1  - Gutierréz, Julio R.
A1  - Hale, Stephen
A1  - Harmon, Mark E.
A1  - Harte, John
A1  - Haskins, Gary
A1  - Henshaw, Donald L.
A1  - Hermanutz, Luise
A1  - Hidalgo, Pamela
A1  - Higuchi, Pedro
A1  - Hoey, Andrew
A1  - Van Hoey, Gert
A1  - Hofgaard, Annika
A1  - Holeck, Kristen
A1  - Hollister, Robert D.
A1  - Holmes, Richard
A1  - Hoogenboom, Mia
A1  - Hsieh, Chih-hao
A1  - Hubbell, Stephen P.
A1  - Huettmann, Falk
A1  - Huffard, Christine L.
A1  - Hurlbert, Allen H.
A1  - Ivanauskas, Natália Macedo
A1  - Janík, David
A1  - Jandt, Ute
A1  - Jażdżewska, Anna
A1  - Johannessen, Tore
A1  - Johnstone, Jill
A1  - Jones, Julia
A1  - Jones, Faith A. M.
A1  - Kang, Jungwon
A1  - Kartawijaya, Tasrif
A1  - Keeley, Erin C.
A1  - Kelt, Douglas A.
A1  - Kinnear, Rebecca
A1  - Klanderud, Kari
A1  - Knutsen, Halvor
A1  - Koenig, Christopher C.
A1  - Kortz, Alessandra R.
A1  - Král, Kamil
A1  - Kuhnz, Linda A.
A1  - Kuo, Chao-Yang
A1  - Kushner, David J.
A1  - Laguionie-Marchais, Claire
A1  - Lancaster, Lesley T.
A1  - Lee, Cheol Min
A1  - Lefcheck, Jonathan S.
A1  - Lévesque, Esther
A1  - Lightfoot, David
A1  - Lloret, Francisco
A1  - Lloyd, John D.
A1  - López-Baucells, Adrià
A1  - Louzao, Maite
A1  - Madin, Joshua S.
A1  - Magnússon, Borgþór
A1  - Malamud, Shahar
A1  - Matthews, Iain
A1  - McFarland, Kent P.
A1  - McGill, Brian
A1  - McKnight, Diane
A1  - McLarney, William O.
A1  - Meador, Jason
A1  - Meserve, Peter L.
A1  - Metcalfe, Daniel J.
A1  - Meyer, Christoph F. J.
A1  - Michelsen, Anders
A1  - Milchakova, Nataliya
A1  - Moens, Tom
A1  - Moland, Even
A1  - Moore, Jon
A1  - Moreira, Carolina Mathias
A1  - Müller, Jörg
A1  - Murphy, Grace
A1  - Myers-Smith, Isla H.
A1  - Myster, Randall W.
A1  - Naumov, Andrew
A1  - Neat, Francis
A1  - Nelson, James A.
A1  - Nelson, Michael Paul
A1  - Newton, Stephen F.
A1  - Norden, Natalia
A1  - Oliver, Jeffrey C.
A1  - Olsen, Esben M.
A1  - Onipchenko, Vladimir G.
A1  - Pabis, Krzysztof
A1  - Pabst, Robert J.
A1  - Paquette, Alain
A1  - Pardede, Sinta
A1  - Paterson, David M.
A1  - Pélissier, Raphaël
A1  - Peñuelas, Josep
A1  - Pérez-Matus, Alejandro
A1  - Pizarro, Oscar
A1  - Pomati, Francesco
A1  - Post, Eric
A1  - Prins, Herbert H. T.
A1  - Priscu, John C.
A1  - Provoost, Pieter
A1  - Prudic, Kathleen L.
A1  - Pulliainen, Erkki
A1  - Ramesh, B. R.
A1  - Ramos, Olivia Mendivil
A1  - Rassweiler, Andrew
A1  - Rebelo, Jose Eduardo
A1  - Reed, Daniel C.
A1  - Reich, Peter B.
A1  - Remillard, Suzanne M.
A1  - Richardson, Anthony J.
A1  - Richardson, J. Paul
A1  - van Rijn, Itai
A1  - Rocha, Ricardo
A1  - Rivera-Monroy, Victor H.
A1  - Rixen, Christian
A1  - Robinson, Kevin P.
A1  - Rodrigues, Ricardo Ribeiro
A1  - de Cerqueira Rossa-Feres, Denise
A1  - Rudstam, Lars
A1  - Ruhl, Henry
A1  - Ruz, Catalina S.
A1  - Sampaio, Erica M.
A1  - Rybicki, Nancy
A1  - Rypel, Andrew
A1  - Sal, Sofia
A1  - Salgado, Beatriz
A1  - Santos, Flavio A. M.
A1  - Savassi-Coutinho, Ana Paula
A1  - Scanga, Sara
A1  - Schmidt, Jochen
A1  - Schooley, Robert
A1  - Setiawan, Fakhrizal
A1  - Shao, Kwang-Tsao
A1  - Shaver, Gaius R.
A1  - Sherman, Sally
A1  - Sherry, Thomas W.
A1  - Siciński, Jacek
A1  - Sievers, Caya
A1  - da Silva, Ana Carolina
A1  - da Silva, Fernando Rodrigues
A1  - Silveira, Fabio L.
A1  - Slingsby, Jasper
A1  - Smart, Tracey
A1  - Snell, Sara J.
A1  - Soudzilovskaia, Nadejda A.
A1  - Souza, Gabriel B. G.
A1  - Souza, Flaviana Maluf
A1  - Souza, Vinícius Castro
A1  - Stallings, Christopher D.
A1  - Stanforth, Rowan
A1  - Stanley, Emily H.
A1  - Sterza, José Mauro
A1  - Stevens, Maarten
A1  - Stuart-Smith, Rick
A1  - Suarez, Yzel Rondon
A1  - Supp, Sarah
A1  - Tamashiro, Jorge Yoshio
A1  - Tarigan, Sukmaraharja
A1  - Thiede, Gary P.
A1  - Thorn, Simon
A1  - Tolvanen, Anne
A1  - Toniato, Maria Teresa Zugliani
A1  - Totland, Ørjan
A1  - Twilley, Robert R.
A1  - Vaitkus, Gediminas
A1  - Valdivia, Nelson
A1  - Vallejo, Martha Isabel
A1  - Valone, Thomas J.
A1  - Van Colen, Carl
A1  - Vanaverbeke, Jan
A1  - Venturoli, Fabio
A1  - Verheye, Hans M.
A1  - Vianna, Marcelo
A1  - Vieira, Rui P.
A1  - Vrška, Tomáš
A1  - Vu, Con Quang
A1  - Vu, Lien Van
A1  - Waide, Robert B.
A1  - Waldock, Conor
A1  - Watts, Dave
A1  - Webb, Sara
A1  - Wesołowski, Tomasz
A1  - White, Ethan P.
A1  - Widdicombe, Claire E.
A1  - Wilgers, Dustin
A1  - Williams, Richard
A1  - Williams, Stefan B.
A1  - Williamson, Mark
A1  - Willig, Michael R.
A1  - Willis, Trevor J.
A1  - Wipf, Sonja
A1  - Woods, Kerry D.
A1  - Woehler, Eric J.
A1  - Zawada, Kyle
A1  - Zettler, Michael L.
T1  - BioTIME: A database of biodiversity time series for the Anthropocene
JF  - Global Ecology and Biogeography
N2  - Motivation
The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.

Main types of variables included
The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.

Spatial location and grain
BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).

Time period and grain
BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.

Major taxa and level of measurement
BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.

Software format
.csv and .SQL.
KW  - biodiversity
KW  - global
KW  - spatial
KW  - species richness
KW  - temporal
KW  - turnover
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222846
VL  - 27
ER  - 
TY  - JOUR
A1  - Westphale, Silke
A1  - Backhaus, Joy
A1  - Koenig, Sarah
T1  - Quantifying teaching quality in medical education: The impact of learning gain calculation
JF  - Medical Education
N2  - Background
Student performance is a mirror of teaching quality. The pre-/post-test design allows a pragmatic approach to comparing the effects of interventions. However, the calculation of current knowledge gain scores introduces varying degrees of distortion. Here we present a new metric employing a linear weighting coefficient to reduce skewness on outcome interpretation.

Methods
We compared and contrasted a number of common scores (raw and relative gain scores) with our new method on two datasets, one simulated and the other empirical from a previous intervention study (n = 180) employing a pre-/post-test design.

Results
The outcomes of the common scores were clearly different, demonstrating a significant dependency on pre-test scores. Only the new metric revealed a linear relationship to the knowledge baseline, was less skewed on the upper or lower extremes, and proved well suited to allow the calculation of negative learning gains. Employing the empirical dataset, the new method also confirmed the interaction effect of teaching formats with specific subgroups of learner characteristics.

Conclusion
This work introduces a new weighted metric enabling meaningful comparisons between interventions based on a linear transformation. This method will form the basis to intertwine the calculation of test performance closely with the outcome of learning as an important factor reflecting teaching quality and efficacy. Its regular use can improve the transparency of teaching activities and outcomes, contribute to forming rounded judgements of students' acquisition of knowledge and skills and enable valuable feedforward to develop and enhance curricular concepts.
KW  - medical education
KW  - teaching quality
KW  - student performance
KW  - comparison
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-259576
VL  - 56
IS  - 3
ER  - 
TY  - JOUR
A1  - Bocuk, Derya
A1  - Wolff, Alexander
A1  - Krause, Petra
A1  - Salinas, Gabriela
A1  - Bleckmann, Annalen
A1  - Hackl, Christina
A1  - Beissbarth, Tim
A1  - Koenig, Sarah
T1  - The adaptation of colorectal cancer cells when forming metastases in the liver: expression of associated genes and pathways in a mouse model
JF  - BMC Cancer
N2  - Background:
Colorectal cancer (CRC) is the second leading cause of cancer-related death in men and women. Systemic disease with metastatic spread to distant sites such as the liver reduces the survival rate considerably. The aim of this study was to investigate the changes in gene expression that occur on invasion and expansion of CRC cells when forming metastases in the liver.

Methods:
The livers of syngeneic C57BL/6NCrl mice were inoculated with 1 million CRC cells (CMT-93) via the portal vein, leading to the stable formation of metastases within 4 weeks. RNA sequencing performed on the Illumina platform was employed to evaluate the expression profiles of more than 14,000 genes, utilizing the RNA of the cell line cells and liver metastases as well as from corresponding tumour-free liver.

Results:
A total of 3329 differentially expressed genes (DEGs) were identified when cultured CMT-93 cells propagated as metastases in the liver. Hierarchical clustering on heat maps demonstrated the clear changes in gene expression of CMT-93 cells on propagation in the liver. Gene ontology analysis determined inflammation, angiogenesis, and signal transduction as the top three relevant biological processes involved. Using a selection list, matrix metallopeptidases 2, 7, and 9, wnt inhibitory factor, and chemokine receptor 4 were the top five significantly dysregulated genes.

Conclusion:
Bioinformatics assists in elucidating the factors and processes involved in CRC liver metastasis. Our results support the notion of an invasion-metastasis cascade involving CRC cells forming metastases on successful invasion and expansion within the liver. Furthermore, we identified a gene expression signature correlating strongly with invasiveness and migration. Our findings may guide future research on novel therapeutic targets in the treatment of CRC liver metastasis.
KW  - colorectal cancer (CRC)
KW  - RNA-sequencing
KW  - gene expression
KW  - liver metastasis
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-170853
VL  - 17
IS  - 342
ER  -