Search query: nils knoblauch

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abstract: The systematic analysis of ever increasing data collection presents companies with ever greater challenges. Many manufacturing organizations simply lack the know how to handle Big Data projects and the corresponding data analysis right. Therefore one simply follows the current trends and buzz words and adopts approaches which are currently en vogue. This approach often leads to less successful projects and several regularly reoccurring patterns of misconceptions can be identified. This paper highlights some of these unsuccessful patterns and introduces some of the work done in the PRO OPT SMART DATA research project. The innovation in this data analysis approach is the combination of traditional statistical methods with new Big Data and AI analysis techniques applied to high tech manufacturing. Being able to align process data with the complete metrology data provides amazing new insights into the manufacturing. Furthermore, we will introduce a new visualization technique specifically suited for domains with high amounts of categorical data like semiconductor, photovoltaics, electronics and such. This paper will show how the combination of the statistical data analysis system Cornerstone in conjunction with Apache Spark1 and Apache Cassandra2 provides a good basis for engineering analytics of massive data amounts. By properly nesting the solid mathematical methods in Cornerstone with big data appropriate infrastructure such as Apache Spark and, in our case, Apache Cassandra, many new analytics issues can be addressed. Analyzes that used to be inefficient due to the sheer volume of data in classically modeled schema's can now be performed through appropriate big table modeling and provide the ability to provide completely new insights into production data. Those directly impacted the manufacturing procedures and improved the products quality and reliability. Experiences gained in the project impacted the upcoming VDI/VDE guideline 37143 to be published later in the year 2019.
author_names: Dirk Ortloff

Nils Knoblauch
title: Applying big data technologies to high tech manufacturing
venue: European Mask and Lithography Conference
year: 2019

abstract: Both spin orbit states of C2H5I+ the X1 2E1/2 and the X2 2E1/2 electronic states, are studied by one color two photon ionization of ethyl iodide, utilizing the zero kinetic energy pulsed field ionization (ZEKE PFI) photoelectron technique. Compared with conventional photoelectron data the two photon spectra exhibit a more extensive vibrational structure mainly involving the C I stretching and the C C I bending modes. This additional vibrational excitation in the two photon spectra is discussed in terms of mode selective resonance enhancement by the dissociative A state continuum. Accurate values for the vibrational frequencies and the ionization energies are obtained. The appearance of nontotally symmetric modes in the two color ZEKE spectra is reported.
author_names: Nils Knoblauch

Andreas Strobel

Ingo Fischer

Vladimir E Bondybey
title: Two photon ionization and dissociation of ethyl iodide
year: 1995

author_names: Andreas Strobel

Nils Knoblauch

J Agreiter

Andrew M Smith

Gereon Niedner-Schatteburg

Vladimir E Bondybey
title: Identification, Structure, and Vibrational Assignment of the NO Dimer Cation
year: 1995

abstract: Key messageA first set of 25 NILs carrying ten BPH resistance genes and their pyramids was developed in the background of indica variety IR24 for insect resistance breeding in rice.AbstractBrown planthopper (Nilaparvata lugens Stal. is one of the most destructive insect pests in rice. Development of near isogenic lines (NILs) is an important strategy for genetic analysis of brown planthopper (BPH) resistance (R) genes and their deployment against diverse BPH populations. A set of 25 NILs with 9 single R genes and 16 multiple R gene combinations consisting of 11 two gene pyramids and 5 three gene pyramids in the genetic background of the susceptible indica rice cultivar IR24 was developed through marker assisted selection. The linked DNA markers for each of the R genes were used for foreground selection and confirming the introgressed regions of the BPH R genes. Modified seed box screening and feeding rate of BPH were used to evaluate the spectrum of resistance. BPH reaction of each of the NILs carrying different single genes was variable at the antibiosis level with the four BPH populations of the Philippines. The NILs with two to three pyramided genes showed a stronger level of antibiosis (49.3 99.0% against BPH populations compared with NILs with a single R gene NILs (42.0 83.5% and IR24 (10.0% Background genotyping by high density SNPs markers revealed that most of the chromosome regions of the NILs (BC3F5) had IR24 genome recovery of 82.0 94.2% Six major agronomic data of the NILs showed a phenotypically comparable agronomic performance with IR24. These newly developed NILs will be useful as new genetic resources for BPH resistance breeding and are valuable sources of genes in monitoring against the emerging BPH biotypes in different rice growing countries.
author_names: Kshirod K Jena

Sherry Lou Hechanova

Holden Verdeprado

G D Prahalada

Sung-Ryul Kim
title: Development of 25 near isogenic lines (NILs) with ten BPH resistance genes in rice (Oryza sativa L. production, resistance spectrum, and molecular analysis
venue: Theoretical and Applied Genetics
year: 2017

abstract: Rezension von: Rene Tuma Bernt Schnettler Hubert Knoblauch: Videographie. Einfuhrung in die interpretative Videoanalyse sozialer Situationen. Wiesbaden: Springer VS 2013, 135 S. ISBN 978 3 531 18731 0
author_names: Sales Severin Rodel
title: Rene/Schnettler, Bernt/Knoblauch, Hubert: Videographie, Einfuhrung in die interpretative Videoanalyse sozialer Situationen. Wiesbaden: Springer VS 2013. [Rezension]
year: 2014

abstract: Magnaporthe oryzae infection causes rice blast, a destructive disease that is responsible for considerable decrease in rice yield. Development of resistant varieties via introgressing resistance genes with marker assisted breeding can eliminate pesticide use and minimize crop losses. Here, resistant near isogenic line (NIL) of Pusa Basmati 1(PB1) carrying broad spectrum rice blast resistance gene Pi9 was used to investigate Pi9 mediated resistance response. Infected and uninfected resistant NIL and susceptible control line were subjected to RNA Seq. With the exception of one gene (Pi9) transcriptional signatures between the two lines were alike, reflecting basal similarities in their profiles. Resistant and susceptible lines possessed 1043 (727 up regulated and 316 down regulated) and 568 (341 up regulated and 227 down regulated) unique and significant differentially expressed loci (SDEL) respectively. Pathway analysis revealed higher transcriptional activation of kinases, WRKY, MYB, and ERF transcription factors, JA ET hormones, chitinases, glycosyl hydrolases, lipid biosynthesis, pathogenesis and secondary metabolism related genes in resistant NIL than susceptible line. Singular enrichment analysis demonstrated that blast resistant NIL is significantly enriched with genes for primary and secondary metabolism, response to biotic stimulus and transcriptional regulation. The co expression network showed proteins of genes in response to biotic stimulus interacted in a manner unique to resistant NIL upon M. oryzae infection. These data suggest that Pi9 modulates genome wide transcriptional regulation in resistant NIL but not in susceptible PB1. We successfully used transcriptome profiling to understand the molecular basis of Pi9 mediated resistance mechanisms, identified potential candidate genes involved in early pathogen response and revealed the sophisticated transcriptional reprogramming during rice M. oryzae interactions.
author_names: Priyanka Caroline Jain

Pankaj Kumar Singh

Ritu Kapoor

Apurva Khanna

Amol Kumar U Solanke

Subbaiyan Gopala Krishnan

Ashutosh Kumar Singh

Vinay Sharma

Tilak Raj Sharma
title: Understanding Host Pathogen Interactions with Expression Profiling of NILs Carrying Rice Blast Resistance Pi9 Gene
venue: Front. Plant Sci.
year: 2017

abstract: The landscape level and multiscale biodiversity monitoring program National Inventory of Landscapes in Sweden (NILS) was launched in 2003. NILS is conducted as a sample based stratified inventory that acquires data across several spatial scales, which is accomplished by combining aerial photo interpretation with field inventory. A total of 631 sample units are distributed across the land base of Sweden, of which 20% are surveyed each year. By 2007 NILS completed the first 5 year inventory phase. As the reinventory in the second 5 year phase (2008 2012) proceeds, experiences and insights accumulate and reflections are made on the setup and accomplishment of the monitoring scheme. In this article, the emphasis is placed on background, scope, objectives, design, and experiences of the NILS program. The main objective to collect data for and perform analyses of natural landscape changes, degree of anthropogenic impact, prerequisites for natural biological diversity and ecological processes at landscape scale. Different environmental conditions that can have direct or indirect effects on biological diversity are monitored. The program provides data for national and international policy and offers an infrastructure for other monitoring program and research projects. NILS has attracted significant national and international interest during its relatively short time of existence; the number of stakeholders and cooperation partners steadily increases. This is constructive and strengthens the incentive for the multiscale monitoring approach.
author_names: Goran Stahl

Anna Allard

Per-Anders Esseen

Anders Glimskar

Anna Ringvall

Johan Svensson

Sture Sundquist

Pernilla Christensen

Asa Gallegos Torell

Mats Hogstrom

Kjell Lagerqvist

Liselott Marklund

Bjorn Nilsson

Ola Inghe
title: National Inventory of Landscapes in Sweden (NILS) scope, design, and experiences from establishing a multiscale biodiversity monitoring system
venue: Environmental monitoring and assessment
year: 2011

abstract: Heterogeneous inbred families segregating for rust resistance were identified from the two crosses involving susceptible (TAG 24 and TG 26) and resistant (GPBD 4) varieties of peanut. Rust resistant (less than score 5) and rust susceptible (more than score 5) plants were identified in each HIF and evaluated under rust epiphytotic conditions. The set of plants belonging to the same HIF, but differing significantly in rust resistance, not in other morphological and productivity traits, was regarded as near isogenic lines (NILs) Largely, rust resistant NILs had GPBD 4 type allele, and susceptible NILs carried either TAG 24 or TG 26 type allele at the three SSR loci (IPAHM103, GM1536 and GM2301) linked to a major genomic region governing rust resistance. Comparison of the remaining genomic regions between the NILs originating from each of the HIFs using transposon markers indicated a considerably high similarity of 86.4% and 83.1% in TAG 24 x GPPBD 4 and TG 26 x GPBD 4, respectively. These NILs are useful for fine mapping and expression analysis of rust resistance.
author_names: Sharanabasappa B Yeri

Kenta Shirasawa

Manish K Pandey

Makanahally V C Gowda

V Sujay

Manda Shriswathi

Hajisaheb L Nadaf

Babu N Motagi

S Lingaraju

Anil Bhat

Rajeev Kumar Varshney

P U Krishnaraj

Ramesh S Bhat
title: Development of NILs from heterogeneous inbred families for validating the rust resistance QTL in peanut (Arachis hypogaea L.
year: 2014

abstract: Northern Ireland has traditionally been well served with cross sectional studies, including episodic surveys of poverty and social exclusion, and of health and social well being. However, such studies are of limited use in either analysis of life course transitions or in the separation of cause and effect, both important goals of current research strategies where renewed interest in equity and social exclusion is stimulating research into the effects of disadvantage on individuals over time. This is all the more urgent given the increased social and geographical mobility and greater fluidity in people's lives. Such information can only be derived longitudinally, and there was a dearth of such large scale general purpose studies in Northern Ireland. Information had not been included in the three British Birth Cohort studies of 1946, 1958 and 1970 and although other longitudinal studies, such as PRIME and Young Hearts, are available they were designed to answer research questions related to specific diseases. Although the British Household Panel Study has recently been extended to include Northern Ireland and there is now a Northern Ireland component to the Millennium Birth Cohort Study, neither is large enough to function as a general purpose longitudinal study to meet the general research or policy needs of Northern Ireland. In the early 2000s, a group of senior statisticians from the Northern Ireland Statistics and Research Agency (NISRA) and academics was convened to estimate the cost of a Northern Ireland Longitudinal Study (NILS) equivalent to others either already available in England and Wales or, at the time, in development in Scotland. The aim was to have a multi cohort study that would fulfil a range of academic and policy related purposes, with a sample size large enough to enable robust analysis of population sub groups and of areas of policy relevance. Because the experience of the Scottish Longitudinal Study (SLS) team had shown that linkage to the 1991 census would incur considerable costs, especially if social class for earlier years had to be recoded to the NS SEC classification used in the 2001 census, it was decided to start with the 2001 census. Funding for the establishment and maintenance of NILS (and its sister study NIMS, see below) was jointly secured in 2003 from the Department of Health, Social Services and Public Safety and the Research and Development Office of the then Health and Personal Social Services. All funding for the development and maintenance of NILS and NIMS now comes from the Health and Social Care Research and Development Division of the Public Health Agency (HSC R&D Division) NISRA helps to fund the NILS/ NIMS project both through the provision of accommodation to house all aspects of the NILS/NIMS operation and staff to maintain and develop the databases and provide strategic management of the project. Both NILS and NIMS were launched in December 2006.
author_names: Dermot O'Reilly

Michael Rosato

G Catney

F Johnston

Maire Brolly
title: Cohort description: the Northern Ireland Longitudinal Study (NILS)
venue: International journal of epidemiology
year: 2012

abstract: The development of near isogenic lines (NILs) is a very important tool for both genetic and physiological dissection of drought resistance in rice. Two pairs of NILs differing for grain yield under drought stress were isolated and characterized for yield, yield related traits, and several physiological traits in a range of contrasting environments. In replicated field trials both NIL pairs differed significantly for grain yield under drought stress but showed similar yield potential, phenology, and yield component traits under non stress conditions. A polymorphism analysis study with 491 SSRs revealed that both NIL pairs are at least 96% genetically similar. These NILs show that small genetic differences can cause large difference in grain yield under drought stress in rice. In both pairs the drought tolerant NILs showed a significantly higher assimilation rate at later stages both under stress and non stress conditions. They also had a higher transpiration rate under non stress condition. The most tolerant NIL (IR77298 14 1 2 B 10) had significantly higher transpiration rate and stomatal conductance in severe stress conditions. In one pair the tolerant NIL had constitutively deeper roots than the susceptible NIL. In the second pair, which had higher mean root length than the first pair, the tolerant NIL had more roots, greater root thickness, and greater root dry weight than the susceptible NIL. Deeper root length may allow tolerant NILs to extract more water at deeper soil layers. It is concluded that enhanced rooting depth is an important strategy for dehydration avoidance and rice adaptation to drought stress, but root architecture might not be the only mechanism causing the significant yield increase we observed in lowland drought stress environments. To further dissect the drought avoidance mechanisms in rice, analysis of root hydraulic properties may be necessary.
author_names: Ramaiah Venuprasad

Somayanda M Impa

R P Veeresh Gowda

Gary N Atlin

Rachid Serraj
title: Rice near isogenic lines (NILs) contrasting for grain yield under lowland drought stress
year: 2011