14 results on '"Jason Bragg"'
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2. Reproductive characteristics, population genetics, and pairwise kinship inform strategic recovery of a plant species in a fragmented landscape
- Author
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Chantelle A. T. Doyle, Jia‐Yee Samantha Yap, Jason Bragg, Maurizio Rossetto, Andrew Orme, and Mark J. K. Ooi
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augmentation ,genomics ,in situ pollination ,plants ,reintroduction ,threatened species ,Ecology ,QH540-549.5 ,General. Including nature conservation, geographical distribution ,QH1-199.5 - Abstract
Abstract Population genetics and understanding of mating systems provide fundamental information for conservation planning. Pairing these methods is a powerful tool in the study of threatened species, however, they are rarely applied in concert. We examined the mating system and used molecular genetics to measure pairwise kinship and the potential for inbreeding in Hibbertia spanantha, a critically endangered long‐lived shrub endemic to the Sydney Basin, Australia, as a model for conservation planning of species in highly fragmented populations. In situ hand pollination experiments demonstrated that the species is preferentially outcrossing, with limited ability to self‐pollinate (either autogamously or geitonogamously). Although population genetics confirmed high levels of kinship and clonality, there is currently enough population heterozygosity for successful open pollination, primarily through buzz pollination by Sweat Bees (Lasioglossum [Chilalictus]). High levels of clonality and population kinship in one population may be the cause of reduced fitness, identified because our outcrossing pollination treatment produced significantly more seeds with greater viability and seed mass than the open treatments. Differences in weight of filled (viable) seeds were identified between populations, although not treatments, where clonal dominance may be swamping pollinator foraging activities. Identification of species mating system, population reproductive capacity, and impacts of fragmentation on population genetic health provides a robust basis for strategic planning and conservation of this critically endangered species, including establishment of an ex situ population and genetic rescue through population augmentation. These methods are easily applicable and particularly relevant to other plant species with small populations or those occurring in fragmented systems.
- Published
- 2023
- Full Text
- View/download PDF
3. AusTraits, a curated plant trait database for the Australian flora
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Daniel Falster, Rachael Gallagher, Elizabeth H. Wenk, Ian J. Wright, Dony Indiarto, Samuel C. Andrew, Caitlan Baxter, James Lawson, Stuart Allen, Anne Fuchs, Anna Monro, Fonti Kar, Mark A. Adams, Collin W. Ahrens, Matthew Alfonzetti, Tara Angevin, Deborah M. G. Apgaua, Stefan Arndt, Owen K. Atkin, Joe Atkinson, Tony Auld, Andrew Baker, Maria von Balthazar, Anthony Bean, Chris J. Blackman, Keith Bloomfield, David M. J. S. Bowman, Jason Bragg, Timothy J. Brodribb, Genevieve Buckton, Geoff Burrows, Elizabeth Caldwell, James Camac, Raymond Carpenter, Jane A. Catford, Gregory R. Cawthray, Lucas A. Cernusak, Gregory Chandler, Alex R. Chapman, David Cheal, Alexander W. Cheesman, Si-Chong Chen, Brendan Choat, Brook Clinton, Peta L. Clode, Helen Coleman, William K. Cornwell, Meredith Cosgrove, Michael Crisp, Erika Cross, Kristine Y. Crous, Saul Cunningham, Timothy Curran, Ellen Curtis, Matthew I. Daws, Jane L. DeGabriel, Matthew D. Denton, Ning Dong, Pengzhen Du, Honglang Duan, David H. Duncan, Richard P. Duncan, Marco Duretto, John M. Dwyer, Cheryl Edwards, Manuel Esperon-Rodriguez, John R. Evans, Susan E. Everingham, Claire Farrell, Jennifer Firn, Carlos Roberto Fonseca, Ben J. French, Doug Frood, Jennifer L. Funk, Sonya R. Geange, Oula Ghannoum, Sean M. Gleason, Carl R. Gosper, Emma Gray, Philip K. Groom, Saskia Grootemaat, Caroline Gross, Greg Guerin, Lydia Guja, Amy K. Hahs, Matthew Tom Harrison, Patrick E. Hayes, Martin Henery, Dieter Hochuli, Jocelyn Howell, Guomin Huang, Lesley Hughes, John Huisman, Jugoslav Ilic, Ashika Jagdish, Daniel Jin, Gregory Jordan, Enrique Jurado, John Kanowski, Sabine Kasel, Jürgen Kellermann, Belinda Kenny, Michele Kohout, Robert M. Kooyman, Martyna M. Kotowska, Hao Ran Lai, Etienne Laliberté, Hans Lambers, Byron B. Lamont, Robert Lanfear, Frank van Langevelde, Daniel C. Laughlin, Bree-Anne Laugier-Kitchener, Susan Laurance, Caroline E. R. Lehmann, Andrea Leigh, Michelle R. Leishman, Tanja Lenz, Brendan Lepschi, James D. Lewis, Felix Lim, Udayangani Liu, Janice Lord, Christopher H. Lusk, Cate Macinnis-Ng, Hannah McPherson, Susana Magallón, Anthony Manea, Andrea López-Martinez, Margaret Mayfield, James K. McCarthy, Trevor Meers, Marlien van der Merwe, Daniel J. Metcalfe, Per Milberg, Karel Mokany, Angela T. Moles, Ben D. Moore, Nicholas Moore, John W. Morgan, William Morris, Annette Muir, Samantha Munroe, Áine Nicholson, Dean Nicolle, Adrienne B. Nicotra, Ülo Niinemets, Tom North, Andrew O’Reilly-Nugent, Odhran S. O’Sullivan, Brad Oberle, Yusuke Onoda, Mark K. J. Ooi, Colin P. Osborne, Grazyna Paczkowska, Burak Pekin, Caio Guilherme Pereira, Catherine Pickering, Melinda Pickup, Laura J. Pollock, Pieter Poot, Jeff R. Powell, Sally A. Power, Iain Colin Prentice, Lynda Prior, Suzanne M. Prober, Jennifer Read, Victoria Reynolds, Anna E. Richards, Ben Richardson, Michael L. Roderick, Julieta A. Rosell, Maurizio Rossetto, Barbara Rye, Paul D. Rymer, Michael A. Sams, Gordon Sanson, Hervé Sauquet, Susanne Schmidt, Jürg Schönenberger, Ernst-Detlef Schulze, Kerrie Sendall, Steve Sinclair, Benjamin Smith, Renee Smith, Fiona Soper, Ben Sparrow, Rachel J. Standish, Timothy L. Staples, Ruby Stephens, Christopher Szota, Guy Taseski, Elizabeth Tasker, Freya Thomas, David T. Tissue, Mark G. Tjoelker, David Yue Phin Tng, Félix de Tombeur, Kyle Tomlinson, Neil C. Turner, Erik J. Veneklaas, Susanna Venn, Peter Vesk, Carolyn Vlasveld, Maria S. Vorontsova, Charles A. Warren, Nigel Warwick, Lasantha K. Weerasinghe, Jessie Wells, Mark Westoby, Matthew White, Nicholas S. G. Williams, Jarrah Wills, Peter G. Wilson, Colin Yates, Amy E. Zanne, Graham Zemunik, and Kasia Ziemińska
- Subjects
Science - Abstract
Measurement(s) plant trait Technology Type(s) digital curation Sample Characteristic - Organism Viridiplantae Sample Characteristic - Location Australia Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14545755
- Published
- 2021
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4. A conservation genomics workflow to guide practical management actions
- Author
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Maurizio Rossetto, Jia-Yee Samantha Yap, Jedda Lemmon, David Bain, Jason Bragg, Patricia Hogbin, Rachael Gallagher, Susan Rutherford, Brett Summerell, and Trevor C. Wilson
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Conservation genomics ,Genetic rescue ,Management actions ,Multispecies ,Seed banking ,Threatened ,Ecology ,QH540-549.5 - Abstract
Owing to decreasing costs and increased efficiency, it is now conceivable that conservation genomic information can be used to improve the effectiveness of recovery programs for many, if not most, threatened plants. We suggest that a simple genomic study be viewed as an initial step in conservation decision-making, as it informs long-term recovery efforts in various ways. We present biodiversity managers and conservation biologists with a simple, standardized workflow for genomic research that can guide efficient collection, analysis and application of genomic information across disparate threatened plants. Using two case studies, ‘Banksia vincentia’ and Daphnandra johnsonii, we demonstrate how a single round of genotyping by sequencing – a one-time cost – produces multiple directly applicable benefits, and how generating genomic information as early as possible can enhance conservation outcomes. We argue for a shift away from asking whether genomic information is needed or justified, and a shift towards consideration of the questions that need to be addressed. Such questions should aimed at cost-effectively guiding multiple practical aspects of a threatened plant’s management plan. The workflow presented here should help relevant stakeholders design a sampling strategy that directly suits their questions and needs.
- Published
- 2021
- Full Text
- View/download PDF
5. A Mechanistic Model of Macromolecular Allocation, Elemental Stoichiometry, and Growth Rate in Phytoplankton
- Author
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Keisuke Inomura, Anne Willem Omta, David Talmy, Jason Bragg, Curtis Deutsch, and Michael J. Follows
- Subjects
phytoplankton ,elemental stoichiometry ,growth rate ,macromolecule ,photosynthesis ,protein ,Microbiology ,QR1-502 - Abstract
We present a model of the growth rate and elemental stoichiometry of phytoplankton as a function of resource allocation between and within broad macromolecular pools under a variety of resource supply conditions. The model is based on four, empirically-supported, cornerstone assumptions: that there is a saturating relationship between light and photosynthesis, a linear relationship between RNA/protein and growth rate, a linear relationship between biosynthetic proteins and growth rate, and a constant macromolecular composition of the light-harvesting machinery. We combine these assumptions with statements of conservation of carbon, nitrogen, phosphorus, and energy. The model can be solved algebraically for steady state conditions and constrained with data on elemental stoichiometry from published laboratory chemostat studies. It interprets the relationships between macromolecular and elemental stoichiometry and also provides quantitative predictions of the maximum growth rate at given light intensity and nutrient supply rates. The model is compatible with data sets from several laboratory studies characterizing both prokaryotic and eukaryotic phytoplankton from marine and freshwater environments. It is conceptually simple, yet mechanistic and quantitative. Here, the model is constrained only by elemental stoichiometry, but makes predictions about allocation to measurable macromolecular pools, which could be tested in the laboratory.
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- 2020
- Full Text
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6. Perceptions of Similarity Can Mislead Provenancing Strategies—An Example from Five Co-Distributed Acacia Species
- Author
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Maurizio Rossetto, Peter D. Wilson, Jason Bragg, Joel Cohen, Monica Fahey, Jia-Yee Samantha Yap, and Marlien van der Merwe
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climate matching ,convex hull ,ecological restoration ,genetic provenance ,landscape genetics ,multispecies comparison ,Biology (General) ,QH301-705.5 - Abstract
Ecological restoration requires balancing levels of genetic diversity to achieve present-day establishment as well as long-term sustainability. Assumptions based on distributional, taxonomic or functional generalizations are often made when deciding how to source plant material for restoration. We investigate this assumption and ask whether species-specific data is required to optimize provenancing strategies. We use population genetic and environmental data from five congeneric and largely co-distributed species of Acacia to specifically ask how different species-specific genetic provenancing strategies are based on empirical data and how well a simple, standardized collection strategy would work when applied to the same species. We find substantial variability in terms of patterns of genetic diversity and differentiation across the landscape among these five co-distributed Acacia species. This variation translates into substantial differences in genetic provenancing recommendations among species (ranging from 100% to less than 1% of observed genetic variation across species) that could not have been accurately predicted a priori based on simple observation or overall distributional patterns. Furthermore, when a common provenancing strategy was applied to each species, the recommended collection areas and the evolutionary representativeness of such artificially standardized areas were substantially different (smaller) from those identified based on environmental and genetic data. We recommend the implementation of the increasingly accessible array of evolutionary-based methodologies and information to optimize restoration efforts.
- Published
- 2020
- Full Text
- View/download PDF
7. A quantitative model of nitrogen fixation in the presence of ammonium.
- Author
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Keisuke Inomura, Jason Bragg, Lasse Riemann, and Michael J Follows
- Subjects
Medicine ,Science - Abstract
Nitrogen fixation provides bioavailable nitrogen, supporting global ecosystems and influencing global cycles of other elements. It provides an additional source of nitrogen to organisms at a cost of lower growth efficiency, largely due to respiratory control of intra-cellular oxygen. Nitrogen-fixing bacteria can, however, utilize both dinitrogen gas and fixed nitrogen, decreasing energetic costs. Here we present an idealized metabolic model of the heterotrophic nitrogen fixer Azotobacter vinelandii which, constrained by laboratory data, provides quantitative predictions for conditions under which the organism uses either ammonium or nitrogen fixation, or both, as a function of the relative supply rates of carbohydrate, fixed nitrogen as well as the ambient oxygen concentration. The model reveals that the organism respires carbohydrate in excess of energetic requirements even when nitrogen fixation is inhibited and respiratory protection is not essential. The use of multiple nitrogen source expands the potential niche and range for nitrogen fixation. The model provides a quantitative framework which can be employed in ecosystem and biogeochemistry models.
- Published
- 2018
- Full Text
- View/download PDF
8. Applying simple genomic workflows to optimise practical plant translocation outcomes
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Maurizio Rossetto, Jason Bragg, Dianne Brown, Marlien van der Merwe, Trevor C. Wilson, and Jia-Yee Samantha Yap
- Subjects
Ecology ,Plant Science - Abstract
Translocation is an important conservation tool for reducing the probability of extinction of threatened plants. It is also becoming an increasingly common management practice, as habitats are destroyed and climate change pushes more plants beyond the limits of their tolerances. Here we outline the case for informing translocations with dedicated genomic data. We begin by describing principles for using genomic and genetic approaches to enhance the efficiency and success of translocation actions. This includes ensuring that translocated populations are adaptively representative, diverse, and composed (to the greatest possible extent) of unrelated individuals. We then use two Australian case studies to illustrate how these principles have been applied in practice and in a resource-efficient way. For Prostanthera densa, we describe how genomic data have quantitatively informed complex decisions, such as whether, and how extensively, to mix individuals from spatially isolated populations in translocated populations. For Fontainea oraria, genomic data have been used during post-translocation monitoring to confirm that newly established populations incorporate and recombine the little diversity that remained in wild individuals. Overall, we illustrate how a simple workflow can support the development and planning of genomic studies and translocation activities in tandem. In order to ensure greater adoption of translocation genomic workflows, funding bodies in charge of biodiversity management and conservation must direct the necessary resources towards them.
- Published
- 2023
9. Using Machine Learning to Link Climate, Phylogeny and Leaf Traits in Eucalypts Through a 50-fold Expansion of Current Leaf Trait Datasets
- Author
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Karina Guo, William Cornwell, and Jason Bragg
- Abstract
Leaf size varies within and between species, and previous work has linked this variation to the environment and evolutionary history separately. However, many previous studies fail to interlink both factors and are often data limited. To address this, our study developed a new workflow using machine learning to automate the extraction of leaf traits (leaf area, largest in-circle area and leaf curvature) from herbarium collections of Australian eucalypts (Eucalyptus, Angophora and Corymbia). Our dataset included 136,599 measurements, expanding existing data on this taxon’s leaf area by roughly 50-fold. With this dataset, we were able to confirm global positive relationships between leaf area and mean annual temperature and precipitation. Furthermore, we linked this trait-climate relationship to phylogeny, revealing large variation at the within-species level, potentially due to gene flow suppressing local adaptation. At deeper phylogenetic levels, the relationship strengthens and the slope converges towards the overall eucalypt slope, suggesting that the effect of gene flow relaxes just above the species level. The strengthening of trait-climate correlations just beyond the intraspecific level may represent a widespread phenomenon across various traits and taxa. Future studies may unveil these relationships with the larger sample sizes of new trait datasets generated through machine learning.
- Published
- 2023
10. Superior Drop Test Performance of BGA Assembly Using SAC105Ti Solder Sphere
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Blake Harper, Russell Brush, Ning-Cheng Lee, Simin Bagheri, Jason Bragg, Weiping Liu, and Polina Snugovesky
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Materials science ,Ball grid array ,Soldering ,Automotive Engineering ,Oxidation resistant ,Metallurgy ,Solder paste ,Drop test - Abstract
Board-level drop test performance was evaluated and compared for the following four different solder combinations in BGA/CSP assembly: 1) SnPb paste with SnPb balls, 2) SnPb paste with SAC105Ti balls, 3) SAC305 paste with SAC105Ti balls, and 4) SAC305 paste with SAC105 balls. Presence of Ti improved the drop test performance significantly, despite the voiding side effect caused by its oxidation tendency. It is anticipated that the voiding can be prevented with the development of a more oxidation resistant flux. The consistently poor drop test performance of 105Ti/SnPb is caused by the wide pasty range resulted from mixing SAC105 with Sn63 solder paste. The effect of Ti in this system is overshadowed by the high voiding outcome due to this wide pasty range material. In view of this, use of SAC105 BGA with SnPb solder paste is not recommended, with or without Ti addition. High reflow temperature drove fracture shift to interface at package side, presumably through building up IMC thickness beyond the threshold value. A lower reflow temperature is recommended. Electrical response is consistent with complete fracture data. But, complete fracture trend is inconsistent with that of partial fracture trend, and neither data can provide a full understanding about the failure mode. By integrating complete fracture and partial fracture into “Virtual Fracture”, the failure mechanism becomes obvious and data sets become consistent with each other.
- Published
- 2012
11. Preparation and properties of (epoxy resin)/(nylon 6,6 oligomer) blends
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Alberto Alvarez-Castillo, Jason Bragg, Monica Trejo-Duran, and Victor M. Castaño
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chemistry.chemical_classification ,Materials science ,Flexural modulus ,General Chemical Engineering ,Izod impact strength test ,General Chemistry ,Polymer ,Epoxy ,Oligomer ,chemistry.chemical_compound ,Compressive strength ,Nylon 6 ,chemistry ,visual_art ,Ultimate tensile strength ,visual_art.visual_art_medium ,Composite material - Abstract
A series of polymer alloys based on different compositions of Nylon 6,6 oligomers (NYL66Oґs) and epoxy resin have been prepared. The oligomer was extracted from the waste residues of the industrial production of nylon 6,6 and was dissolved in the epoxy resin. The mixture was crosslinked at 333 K using dodecenylsuccinic anhydre (DDSA) as a curing agent. The tensile strength and flexural modulus were found to increase with the addition of NYLO66O up to a maximum value of 2 wt % oligomer content. Both, the tensile and impact strength show a maximum increase due to the addition of 35 wt % NYLO66O. The compressive strength testing revealed a considerable increase, up to 87 %, over that of the neat epoxy with the addition of 1 wt % NYLO66O. An interesting relationship between the mechanical properties and the developed morphology of the blends has been found.
- Published
- 2009
12. SuperiorDrop test performance of BGA assembly using SAC105Ti solder spheres - virtual fracture analysis
- Author
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Ning-Cheng Lee, Weiping Liu, Simin Bagheri, Russell Brush, Polina Snugovesky, Jason Bragg, and Blake Harper
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Interconnection ,Materials science ,Ball grid array ,Soldering ,Metallurgy ,Alloy ,Ball (bearing) ,engineering ,Solder paste ,engineering.material ,Drop test ,Eutectic system - Abstract
Assembled BGA/CSP devices with SnAgCu (SAC) solder joints are vulnerable when dropped due to the fragility of solder joints. Although reducing the Ag content of SAC alloy does help, the crack resistance when dropped is still considerably poorer than the eutectic SnPb system. Therefore a new alloy with improved drop test performance is greatly desired. In this work, SAC105 doped with Ti (SAC105Ti) as a BGA/CSP sphere was studied for its drop test reliability. Four different solder combinations were evaluated: 1) SnPb solder paste with SnPb balls, 2) SnPb solder paste with SAC105Ti balls, 3) SAC305 solder paste with SAC105Ti balls, and 4) SAC305 solder paste with SAC105 balls. The number of completely fractured interconnects was counted for each type of component after a total of 100 drops. The cell with the fewest number of fractured joints was the pure SnPb cell, followed closely by SAC305 solder paste/SAC105Ti ball, then SAC305 solder paste/ SAC105 ball and lastly SnPb solder paste/SAC105Ti ball. This trend is consistent with the trend observed by measuring the electrical resistance. The combination of SAC305 solder paste with SAC105Ti balls was the best solder joint structure tested in terms of the lowest number of partial interconnect fractures and outperformed the other three combinations.
- Published
- 2012
13. The contamination of fiber optics connectors and their effect on optical performance
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P. Arrowsmith, S. Mahmoud, Tatiana Berdinskikh, E. Tse, J. Daniel, Jason Bragg, and A. Fisenko
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chemistry.chemical_compound ,Cable gland ,Materials science ,Optical fiber ,Optics ,chemistry ,law ,business.industry ,Composite material ,Polyethylene ,Contamination ,business ,law.invention - Abstract
In this paper, a study of the source of contamination for ST and SC connectors and the influence of the contamination on the optical performance was studied. The PVC protective dust cap was confirmed as the primary source of contamination. The contaminants found on the inner surface of the dust cap correlated to that found on the end face of the connectors. Contamination is readily transferred to the optical surfaces of the connector by deforming the PVC cap when it is push-fitted onto the connector. The PVC cap has been replaced with a hard, polyethylene dust cap, resulting in improved quality of the incoming parts up to 80-85%. This was further improved by using a polyethylene non-contact duct cap. The influence of contamination and scratches on BER was studied and we can conclude that the BER results strongly depended upon different levels of contamination and scratches. This and other issues will be subject to further research.
- Published
- 2003
14. The role of electrostatic charge effect on the contamination of fiber optics connectors and the ways of eliminating it
- Author
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Anatoliy I. Fisenko, Daniel Phillips, Jason Bragg, Joe Daniel, and Tatiana Berdinskikh
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Engineering ,Engineering drawing ,Optical fiber ,business.industry ,Manufacturing process ,media_common.quotation_subject ,Rework ,Process (computing) ,Contamination ,law.invention ,law ,Ft ir spectroscopy ,Quality (business) ,Manufacturing operations ,Process engineering ,business ,media_common - Abstract
The contamination of fiber optics connectors has recently been recognized as an industry wide problem. The contamination has resulted in degradation of optical signal performance, which creates false fails during the manufacturing process. These contaminated fiber optics connectors require additional manufacturing operations such as inspection of incoming components, cleaning process and re-inspection. The cleanliness of test connectors is also very important to ensure good product quality. The dirty connectors in the test environment create false functional failures at the board level, resulting in unnecessary and costly rework. All precautions have to be taken to identify the critical steps in the manufacturing process that cause the contamination to the component, assembly or board levels. The potential sources of contamination and the mechanisms of the transferring contamination have been analyzed.
- Published
- 2003
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