ACM SIGIR 2017 - Opening - PC Chairs
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This document provides information about SIGIR 2017, including thanking the program committee members and additional reviewers who contributed, highlighting changes for this year such as transitioning to a new review system and increasing diversity, and statistics on the number and acceptance rate of submissions and the topics and countries they covered. It also recognizes outstanding reviewers.
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extra-chromosomal-inheritance[1].pptx.pdfpdf
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
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Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
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[1] Maarten Clements, Arjen P. De Vries, and Marcel J. T. Reinders. 2010. The task-dependent effect of tags and ratings on social media access. ACM Trans. Inf. Syst. 28, 4, Article 21 (November 2010), 42 pages. http://doi.acm.org/10.1145/1852102.1852107
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extra-chromosomal-inheritance[1].pptx.pdfpdf
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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Orion Air Quality Monitoring Systems - CWS
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
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Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
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ACM SIGIR 2017 - Opening - PC Chairs
- 1. SIGIR 2017 Welcome from the Program Committee Co-chairs Arjen de Vries, Hang Li, Ryen White
- 2. WE THANK • 66 SENIOR PROGRAM COMMITTEE (SPC) MEMBERS • 216 PROGRAM COMMITTEE (PC) MEMBERS • 70 ADDITIONAL REVIEWERS • 1056 AUTHORS OF 362 SUBMISSIONS FROM 42 COUNTRIES AND 170 INSTITUTIONS • GENERAL CO-CHAIRS • MEMBERS OF ORGANIZING COMMITTEE
- 3. HIGHLIGHTS OF THIS YEAR • TRANSITIONED TO EASYCHAIR • SIGNIFICANTLY BROADEN RANGE OF TOPICS • INCREASED NUMBER OF WOMEN SPC MEMBERS (24%) • INCREASED NUMBER SPC MEMBERS FROM ASIA (23%) • MODIFICATION OF ROLE OF SPC • FIRST SPC FOR META-REVIEW • SECOND SPC FOR ADDITIONAL REVIEW IN BORDERLINE CASE • PC MEETING AT MICROSOFT • SELECTION OF OUTSTANDING REVIEWERS AND OUTSTANDING SENIOR REVIEWERS
- 4. STATISTICS ON SUBMISSIONS • NUMBER OF SUBMISSIONS = 362 • NUMBER OF ACCEPTED PAPERS = 78 • ACCEPTANCE RATE = 22% • NUMBER OF REVIEWS = 1,227
- 7. MOST LIKELY ACCEPTED TOPICS
- 8. LEAST LIKELY ACCEPTED TOPICS
- 9. OUTSTANDING REVIEWERS • ALISTAIR MOFFAT • AYA SOFFER • BHASKAR MITRA • CHENLIANG LI • DEBORA DONATO • EMRE VELIPASAOGLU • EVANGELOS KANOULAS • EVGENY KHARITONOV • FILIP RADLINSKI • FRANCO MARIA NARDINI • GORDON CORMACK • HONGNING WANG • IOANNIS ARAPAKIS • JULIA KISELEVA • KAZUNARI SUGIYAMA • KIRA RADINSKY • LÉA LAPORTE • MARCOS GONÇALVES • THIBAUT THONET • PERNILLA QVARFORDT • RADU IONESCU • ROI BLANCO • SHANE CULPEPPER • SHANGSONG LIANG • TONYA CURTIS • UDO KRUSCHWITZ • YANYAN LAN • YASHAR MOSHFEGHI • ZHUMIN CHEN
- 10. OUTSTANDING SENIOR REVIEWERS • DAVID ELSWEILER • DOUGLAS OARD • JAMIE CALLAN • JAAP KAMPS • IAN SOBOROFF • JAIME TEEVAN • JIYIN HE • NICK CRASWELL