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1. Volkshochschul-Statistik

Author

Lux, Thomas, Ortmanns, Verena, Huntemann, Hella, and Andreas Bachem

Subjects
Education, Adult & Continuing Education, bic Book Industry Communication::J Society & social sciences::JN Education::JNP Adult education, continuous learning
Abstract

Die Datensammlung zur Situation der Volkshochschulen spiegelt den Status Quo im Corona-Jahr 2021. An der repräsentativen Langzeiterhebung zu Programmen, Organisation, Ressourcen und Leistungen haben über 98 Prozent der VHSen in Deutschland teilgenommen.Die Statistik informiert über aktuelle Zahlen zu Finanzierung, Personal und Programmbereichen sowie zu Teilnehmenden und institutioneller Entwicklung. Das Veranstaltungsangebot wird nach sieben Programmbereichen thematisch differenziert, die Kurse werden nach 85 Fachgebieten geordnet und anhand von Kursmerkmalen beschrieben. Damit werden Änderungen in der Programmgestaltung ebenso sichtbar wie Buchungspräferenzen der Teilnehmenden.Seit 1962 wertet das Deutsche Institut für Erwachsenenbildung in Kooperation mit dem Deutschen Volkshochschulverband (DVV) jährlich die Daten für diese hoch informative Statistik aus.

Published
2024
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9. Genome analyses reveal population structure and a purple stigma color gene candidate in finger millet

Author

Devos, Katrien M, Qi, Peng, Bahri, Bochra A, Gimode, Davis M, Jenike, Katharine, Manthi, Samuel J, Lule, Dagnachew, Lux, Thomas, Martinez-Bello, Liliam, Pendergast, Thomas H, Plott, Chris, Saha, Dipnarayan, Sidhu, Gurjot S, Sreedasyam, Avinash, Wang, Xuewen, Wang, Hao, Wright, Hallie, Zhao, Jianxin, Deshpande, Santosh, de Villiers, Santie, Dida, Mathews M, Grimwood, Jane, Jenkins, Jerry, Lovell, John, Mayer, Klaus FX, Mneney, Emmarold E, Ojulong, Henry F, Schatz, Michael C, Schmutz, Jeremy, Song, Bo, Tesfaye, Kassahun, and Odeny, Damaris A

Subjects
Agricultural, Veterinary and Food Sciences, Biological Sciences, Genetics, Humans, Infant, Eleusine, Plant Breeding, Genome, Plant, Phenotype, Africa, Eastern
Abstract

Finger millet is a key food security crop widely grown in eastern Africa, India and Nepal. Long considered a 'poor man's crop', finger millet has regained attention over the past decade for its climate resilience and the nutritional qualities of its grain. To bring finger millet breeding into the 21st century, here we present the assembly and annotation of a chromosome-scale reference genome. We show that this ~1.3 million years old allotetraploid has a high level of homoeologous gene retention and lacks subgenome dominance. Population structure is mainly driven by the differential presence of large wild segments in the pericentromeric regions of several chromosomes. Trait mapping, followed by variant analysis of gene candidates, reveals that loss of purple coloration of anthers and stigma is associated with loss-of-function mutations in the finger millet orthologs of the maize R1/B1 and Arabidopsis GL3/EGL3 anthocyanin regulatory genes. Proanthocyanidin production in seed is not affected by these gene knockouts.

Published
2023

12. Design Strategies and Approximation Methods for High-Performance Computing Variability Management

Author

Wang, Yueyao, Xu, Li, Hong, Yili, Pan, Rong, Chang, Tyler, Lux, Thomas, Bernard, Jon, Watson, Layne, and Cameron, Kirk

Subjects
Statistics - Applications
Abstract

Performance variability management is an active research area in high-performance computing (HPC). We focus on input/output (I/O) variability. To study the performance variability, computer scientists often use grid-based designs (GBDs) to collect I/O variability data, and use mathematical approximation methods to build a prediction model. Mathematical approximation models could be biased particularly if extrapolations are needed. Space-filling designs (SFDs) and surrogate models such as Gaussian process (GP) are popular for data collection and building predictive models. The applicability of SFDs and surrogates in the HPC variability needs investigation. We investigate their applicability in the HPC setting in terms of design efficiency, prediction accuracy, and scalability. We first customize the existing SFDs so that they can be applied in the HPC setting. We conduct a comprehensive investigation of design strategies and the prediction ability of approximation methods. We use both synthetic data simulated from three test functions and the real data from the HPC setting. We then compare different methods in terms of design efficiency, prediction accuracy, and scalability. In synthetic and real data analysis, GP with SFDs outperforms in most scenarios. With respect to approximation models, GP is recommended if the data are collected by SFDs. If data are collected using GBDs, both GP and Delaunay can be considered. With the best choice of approximation method, the performance of SFDs and GBD depends on the property of the underlying surface. For the cases in which SFDs perform better, the number of design points needed for SFDs is about half of or less than that of the GBD to achieve the same prediction accuracy. SFDs that can be tailored to high dimension and non-smooth surface are recommended especially when large numbers of input factors need to be considered in the model., Comment: 29 pages, 6 figures

Published
2022

14. Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement

Author

Gaurav, Kumar, Arora, Sanu, Silva, Paula, Sánchez-Martín, Javier, Horsnell, Richard, Gao, Liangliang, Brar, Gurcharn S, Widrig, Victoria, John Raupp, W, Singh, Narinder, Wu, Shuangye, Kale, Sandip M, Chinoy, Catherine, Nicholson, Paul, Quiroz-Chávez, Jesús, Simmonds, James, Hayta, Sadiye, Smedley, Mark A, Harwood, Wendy, Pearce, Suzannah, Gilbert, David, Kangara, Ngonidzashe, Gardener, Catherine, Forner-Martínez, Macarena, Liu, Jiaqian, Yu, Guotai, Boden, Scott A, Pascucci, Attilio, Ghosh, Sreya, Hafeez, Amber N, O’Hara, Tom, Waites, Joshua, Cheema, Jitender, Steuernagel, Burkhard, Patpour, Mehran, Justesen, Annemarie Fejer, Liu, Shuyu, Rudd, Jackie C, Avni, Raz, Sharon, Amir, Steiner, Barbara, Kirana, Rizky Pasthika, Buerstmayr, Hermann, Mehrabi, Ali A, Nasyrova, Firuza Y, Chayut, Noam, Matny, Oadi, Steffenson, Brian J, Sandhu, Nitika, Chhuneja, Parveen, Lagudah, Evans, Elkot, Ahmed F, Tyrrell, Simon, Bian, Xingdong, Davey, Robert P, Simonsen, Martin, Schauser, Leif, Tiwari, Vijay K, Randy Kutcher, H, Hucl, Pierre, Li, Aili, Liu, Deng-Cai, Mao, Long, Xu, Steven, Brown-Guedira, Gina, Faris, Justin, Dvorak, Jan, Luo, Ming-Cheng, Krasileva, Ksenia, Lux, Thomas, Artmeier, Susanne, Mayer, Klaus FX, Uauy, Cristobal, Mascher, Martin, Bentley, Alison R, Keller, Beat, Poland, Jesse, and Wulff, Brande BH

Subjects
Genetics, Biotechnology, Human Genome, Aegilops, Bread, Genomics, Metagenomics, Plant Breeding, Triticum
Abstract

Aegilops tauschii, the diploid wild progenitor of the D subgenome of bread wheat, is a reservoir of genetic diversity for improving bread wheat performance and environmental resilience. Here we sequenced 242 Ae. tauschii accessions and compared them to the wheat D subgenome to characterize genomic diversity. We found that a rare lineage of Ae. tauschii geographically restricted to present-day Georgia contributed to the wheat D subgenome in the independent hybridizations that gave rise to modern bread wheat. Through k-mer-based association mapping, we identified discrete genomic regions with candidate genes for disease and pest resistance and demonstrated their functional transfer into wheat by transgenesis and wide crossing, including the generation of a library of hexaploids incorporating diverse Ae. tauschii genomes. Exploiting the genomic diversity of the Ae. tauschii ancestral diploid genome permits rapid trait discovery and functional genetic validation in a hexaploid background amenable to breeding.

Published
2022

15. Sequential Monte Carlo Squared for Agent-Based Models

Author

Lux, Thomas, Abarbanel, Henry D. I., Series Editor, Braha, Dan, Series Editor, Érdi, Péter, Series Editor, Friston, Karl J., Series Editor, Grillner, Sten, Series Editor, Haken, Hermann, Series Editor, Jirsa, Viktor, Series Editor, Kacprzyk, Janusz, Series Editor, Kaneko, Kunihiko, Series Editor, Kelso, Scott, Founding Editor, Kirkilionis, Markus, Series Editor, Menezes, Ronaldo, Series Editor, Kurths, Jürgen, Series Editor, Nowak, Andrzej, Series Editor, Qudrat-Ullah, Hassan, Series Editor, Reichl, Linda, Series Editor, Schuster, Peter, Series Editor, Schweitzer, Frank, Series Editor, Sornette, Didier, Series Editor, Thurner, Stefan, Series Editor, and Venkatachalam, Ragupathy, editor

Published
2023
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16. Aegilops tauschii genome assembly Aet v5.0 features greater sequence contiguity and improved annotation

Author

Wang, Le, Zhu, Tingting, Rodriguez, Juan C, Deal, Karin R, Dubcovsky, Jorge, McGuire, Patrick E, Lux, Thomas, Spannagl, Manuel, Mayer, Klaus FX, Baldrich, Patricia, Meyers, Blake C, Huo, Naxin, Gu, Yong Q, Zhou, Hongye, Devos, Katrien M, Bennetzen, Jeffrey L, Unver, Turgay, Budak, Hikmet, Gulick, Patrick J, Galiba, Gabor, Kalapos, Balázs, Nelson, David R, Li, Pingchuan, You, Frank M, Luo, Ming-Cheng, and Dvorak, Jan

Subjects
Genetics, Human Genome, Biotechnology, Aegilops, Genome, Plant, Plant Breeding, Poaceae, Triticum, disease resistance, miRNA, phasiRNA, hc-siRNA, tRNA, tRF, transposable elements, optical map, Pacific Biosciences
Abstract

Aegilops tauschii is the donor of the D subgenome of hexaploid wheat and an important genetic resource. The reference-quality genome sequence Aet v4.0 for Ae. tauschii acc. AL8/78 was therefore an important milestone for wheat biology and breeding. Further advances in sequencing acc. AL8/78 and release of the Aet v5.0 sequence assembly are reported here. Two new optical maps were constructed and used in the revision of pseudomolecules. Gaps were closed with Pacific Biosciences long-read contigs, decreasing the gap number by 38,899. Transposable elements and protein-coding genes were reannotated. The number of annotated high-confidence genes was reduced from 39,635 in Aet v4.0 to 32,885 in Aet v5.0. A total of 2245 biologically important genes, including those affecting plant phenology, grain quality, and tolerance of abiotic stresses in wheat, was manually annotated and disease-resistance genes were annotated by a dedicated pipeline. Disease-resistance genes encoding nucleotide-binding site domains, receptor-like protein kinases, and receptor-like proteins were preferentially located in distal chromosome regions, whereas those encoding transmembrane coiled-coil proteins were dispersed more evenly along the chromosomes. Discovery, annotation, and expression analyses of microRNA (miRNA) precursors, mature miRNAs, and phasiRNAs are reported, including miRNA target genes. Other small RNAs, such as hc-siRNAs and tRFs, were characterized. These advances enhance the utility of the Ae. tauschii genome sequence for wheat genetics, biotechnology, and breeding.

Published
2021

17. Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations

Author

Xu, Li, Lux, Thomas, Chang, Tyler, Li, Bo, Hong, Yili, Watson, Layne, Butt, Ali, Yao, Danfeng, and Cameron, Kirk

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing, Statistics - Applications
Abstract

Performance variability is an important measure for a reliable high performance computing (HPC) system. Performance variability is affected by complicated interactions between numerous factors, such as CPU frequency, the number of input/output (IO) threads, and the IO scheduler. In this paper, we focus on HPC IO variability. The prediction of HPC variability is a challenging problem in the engineering of HPC systems and there is little statistical work on this problem to date. Although there are many methods available in the computer experiment literature, the applicability of existing methods to HPC performance variability needs investigation, especially, when the objective is to predict performance variability both in interpolation and extrapolation settings. A data analytic framework is developed to model data collected from large-scale experiments. Various promising methods are used to build predictive models for the variability of HPC systems. We evaluate the performance of the methods by measuring prediction accuracy at previously unseen system configurations. We also discuss a methodology for optimizing system configurations that uses the estimated variability map. The findings from method comparisons and developed tool sets in this paper yield new insights into existing statistical methods and can be beneficial for the practice of HPC variability management. This paper has supplementary materials online., Comment: 29 pages, 8 figures

Published
2020

19. Software Engineering

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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20. Database Systems

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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23. Business Applications

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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29. Review Questions

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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30. Information Management

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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33. Datenbanksysteme

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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39. Informationsmanagement

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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45. Contents and Structure

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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46. Aufbau und Gliederung

Author

Weber, Peter, Gabriel, Roland, Lux, Thomas, Menke, Katharina, Weber, Peter, Gabriel, Roland, Lux, Thomas, and Menke, Katharina

Published
2022
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50. Date palm acclimates to aridity by diverting organic osmolytes for root osmotic adjustment in parallel with leaf membrane remodeling and ROS scavenging

Author

Franzisky, Bastian Leander, primary, Mueller, Heike M, additional, Du, Baoguo, additional, Lux, Thomas, additional, White, Philip J, additional, Carpentier, Sebastien Christian, additional, Barbro Winkler, Jana, additional, Schnitzler, Joerg-Peter, additional, Kudla, Joerg, additional, Kangasjaervi, Jaakko, additional, Reichelt, Michael, additional, Mithoefer, Axel, additional, Mayer, Klaus F.X., additional, Rennenberg, Heinz, additional, Ache, Peter, additional, Hedrich, Rainer, additional, Messerer, Maxim, additional, and Geilfus, Christoph-Martin, additional

Published
2024
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